CN117886412A - Parameter control method and system, storage medium and device for coal slime water sedimentation process - Google Patents

Abstract

The present invention relates to a parameter control method for the coal slurry water sedimentation process, the method comprising: starting a dosing pump according to an operation signal in a washing and selection production process, determining an initial frequency setting value of the dosing pump according to the type of coal; collecting process data and pre-processing to obtain an actual value of the mud layer interface height and an actual value of the rake machine torque pressure; under the initial working condition and the normal working condition, adjusting the set mud layer interface height according to the actual value of the rake machine torque pressure to obtain a mud layer interface height setting value; under abnormal working conditions, controlling the start and stop of the dosing pump to restore the abnormal working condition to a normal working condition; under the initial working condition and the normal working condition, adjusting the current setting frequency value of the dosing pump according to the mud layer interface height setting value, the mud layer interface height actual value and the rake machine torque pressure actual value; stopping the dosing pump according to a stop signal in the washing and selection production process. Its beneficial effects are that the occurrence rate of "running black" and rake pressure accidents is reduced, and the reasonable addition of flocculants is achieved.

Description

Parameter control method and system, storage medium and device for coal slime water sedimentation process

Technical Field

The present invention relates to the technical field of intelligent control of coal sludge water concentration and dosing, and in particular to a parameter control method and system, storage medium and equipment for a coal sludge water sedimentation process.

Background technique

The coal slime water concentration process is used to treat the coal slime water generated from the coal slime sorting process and the plate pressing process. The underflow is processed by plate pressing to form coal slime, and the overflow is used as production water for production circulation in the main washing workshop. The mud layer interface height and torque pressure are important control parameters in the concentration and sedimentation process. The sedimentation effect during the concentration process is closely related to the flocculant added to the coal slime water. If the amount of flocculant added is too large, the coal slime sedimentation speed is fast, the mud layer interface is low, the underflow concentration increases, and the concentrator torque increases. In severe cases, a "rake pressure" accident may occur. If the amount of flocculant added is small, the coal slime floccules and sedimentation effects are poor, the mud layer is turbid and the interface is raised, resulting in the overflow water failing to meet production requirements.

Since the coal slime water treatment process is a link with large hysteresis and large inertia, the interface of the coal slime layer is difficult to detect accurately, and there is a complex nonlinear relationship with parameters such as torque. It has been difficult to achieve operational control of flocculation and dosing for a long time.

At present, the frequency setting of the flocculant dosing machine in the concentration and sedimentation process is still manually set. Every hour, the worker uses a transparent probe to obtain the sedimentation situation, and manually adjusts the dosing pump frequency through the dosing machine touch screen to control the flocculation and sedimentation effect of the coal slurry water. Since it is difficult for the worker to measure the mud layer interface in time to adjust the flocculant dosage, it is often the case that too much agent is added, resulting in high bottom flow concentration, high torque, and even "rake pressure" problems; or too little agent causes "black running" problems, making it difficult to ensure the sedimentation effect, and the agent is used irrationally.

Therefore, how to solve the problems of untimely and unreasonable manual setting of the frequency of flocculant dosing machines in the existing concentration and dosing process, reduce labor intensity, realize dynamic adjustment and automatic start and stop of the frequency setting of flocculant dosing machines, improve the concentration and sedimentation effect, reduce drug consumption, and reduce the occurrence rate of accidents such as black pressure rakes, has become a hot topic of research in the industry.

Summary of the invention

1. Technical issues to be resolved

In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a parameter control method and system, storage medium and equipment for a coal slime water sedimentation process, which solves the technical problem of untimely and unreasonable manual setting of the frequency of a flocculant dosing machine during the coal slime water sedimentation, concentration and dosing process.

(II) Technical solution

In order to achieve the above object, the main technical solutions adopted by the present invention include:

In the first aspect, the present invention provides a parameter control method for a coal slurry water sedimentation process, comprising: starting a dosing pump according to an operation signal in a washing and selection production process, and determining an initial frequency setting value of the dosing pump according to the type of coal. Collecting process data, wherein the process data includes mud layer interface height data and rake machine torque pressure data, and preprocessing the process data to obtain the actual value of the mud layer interface height and the actual value of the rake machine torque pressure. Under the starting working condition and the normal working condition, the set mud layer interface height is adjusted according to the actual value of the rake machine torque pressure to obtain the mud layer interface height setting value, wherein the starting working condition is the working condition within a preset time after the operation signal is obtained. The normal working condition is the working condition where the mud layer interface height value and the rake machine torque pressure value do not exceed the preset interval after the starting working condition ends. Under abnormal working conditions, the start and stop of the dosing pump is controlled according to the actual value of the mud layer interface height or the actual value of the rake machine torque pressure, so that the abnormal working condition is restored to the normal working condition, wherein the abnormal working condition is the working condition where the mud layer interface height value or the rake machine torque pressure value exceeds the preset interval after the starting working condition ends. Under the initial working condition and normal working condition, the current set frequency value of the dosing pump is adjusted according to the mud layer interface height set value, the actual value of the mud layer interface height and the actual value of the rake torque pressure. When the dosing pump is just started, the current set frequency value of the dosing pump is the initial frequency setting value of the dosing pump. The dosing pump is stopped according to the stop signal in the washing and selection production process.

Optionally, the operating signal includes an actual value of the combined medium density, a washing equipment start signal or a conveyor belt start signal, and starting the dosing pump according to the operating signal in the washing production process includes: starting the dosing pump when any of the combined medium density is greater than a density judgment threshold, or the washing equipment is turned on, or the conveyor belt is turned on.

Optionally, the determining of the initial frequency setting value of the dosing pump according to the coal type includes: when the coal type is 32 coal, _usp (k)= _e1 . When the coal type is 52 coal, _usp (k)= _e2 . When the coal type is mixed coal, _usp (k)= _e3 . Wherein, _usp (k) is the initial frequency setting value of the dosing pump, and _e1 , _e2 , and _e3 are empirical values.

Optionally, the preprocessing of the process data includes:

Perform first-order inertial filtering on the process data of the time series within the time window to obtain the filtered value. Perform manual measurement on the process data at n moments at the same time interval within the time window, calculate the error between the manual measurement value and the filtered value corresponding to the n moments, and calculate the average error value, so as to compensate the filtered value with the error average value. The formula is as follows: Y(k) = αX(k) + (1-α)Y(k-1) + V(k) where α is the filter coefficient, X(k) is the process data collected this time, Y(k-1) is the output value of the last filter, Y(k) is the output value of this filter, and V(k) is the error average value. Ya(k) is the manual measurement value of this time.

Optionally, the step of adjusting the set mud layer interface height according to the actual value of the rake torque pressure under the initial working condition and the normal working condition to obtain the mud layer interface height setting value comprises: calculating the mud layer interface height setting value _{ysp(k) according to the following formula: ysp (} k)=[ _yhsp (k)+ _ylsp (k)]/2. In the case of _Ppv (k)＞ _b1 , _yhsp (k)= _Ppv (k)+ _c1 , _ylsp (k)= _Ppv (k) _-d1 . In the case of _b2 ＜ _Ppv (k) _≤b1 , _yhsp (k)= _Ppv (k)+ _c2 , _ylsp (k)= _Ppv (k) _-d2 . In the case of _Ppv (k) _≤b2 , _yhsp (k)= _Ppv (k)+ _c3 , _ylsp (k)= _Ppv (k) _-d3 . Among them, P _pv (k) is the actual value of the rake torque pressure, y _hsp (k) is the upper limit of the mud layer interface height setting value, y _lsp (k) is the lower limit of the mud layer interface height setting value, b ₁ , b ₂ , c ₁ , c ₂ , c ₃ , d ₁ , d ₂ , d ₃ are empirical values.

Optionally, under abnormal working conditions, the start and stop of the dosing pump is controlled according to the actual value of the mud layer interface height or the actual value of the rake torque pressure to restore the abnormal working condition to the normal working condition, including: when (Y _pv (k)-Y _sp (k)) is less than -f ₄ , and P _pv (k) is greater than h ₆ , the dosing pump is stopped. Or, when P _pv (k) is greater than h ₇ , the dosing pump is stopped. When P _pv (k) is less than h ₈ , the dosing pump is started. When (Y _pv (k)-Y _sp (k)) is greater than f ₅ , and Y _pv (k) is greater than j ₁ for five minutes, it is determined whether P _pv (k) is less than h _8. When P _pv (k) is less than h ₈ , the dosing standby pump is started, and the dosing frequency of the dosing standby pump is set to 15 Hz. When Y _pv (k) is less than j ₂ , or P _pv (k) is greater than h ₇ , the dosing standby pump is stopped. Among them, _f4 , _f5 , _h6 , _h7 , _h8 , _j1 , and _j2 are empirical values.

Optionally, the current setting frequency value of the dosing pump is adjusted according to the mud layer interface height setting value, the mud layer interface height actual value and the rake torque pressure actual value under the initial working condition, including: when |Y _pv (k)-Y _sp (k)|≤f ₁ and us _p (k)≤g, Δus _p (k)＝0. When |Y _pv (k)-Y _sp (k)|≤f ₁ and us _p (k)＞g, Δus _p (k)＝-h′. When |Y _pv (k)-Y _sp (k)|＞f ₁ and P _pv (k)＜h ₁ , Δus _p (k)＝KP ₁ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₁ (Y _pv (k)-Y _sp (k)). When | _Ypv (k) _-Ysp (k)|＞ _f1 , and _Ppv (k) _≤h2 , _Δusp (k)＝ _KP2 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI2 ( _Ypv (k) _-Ysp (k)). When | _Ypv (k) _-Ysp (k)|＞ _f1 , and _Ppv (k) _≥h2 , _Δusp ( _k )＝ _KP3 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp ₍ k-1))]+ _KI3 ( _Ypv (k) _-Ysp (k)). The current set frequency value of the dosing pump is adjusted according to the following formula: _usp (k)＝ _usp (k-1)+ _Δusp (k). Wherein, suppose the current time is k, Y _pv (k) is the actual value of the mud layer interface height, Y _sp (k) is the set value of the mud layer interface height, u _sp (k) is the set value of the dosing pump frequency, Δus _p (k) is the change in the frequency setting value, P _pv (k) is the actual value of the rake torque pressure, f ₁ , h ₁ , h ₂ , h', g, KP _i , KI _i are empirical values, and i = [1, 3].

Optionally, under normal working conditions, the current set frequency value of the dosing pump is adjusted according to the mud layer interface height set value, the mud layer interface height actual value and the rake torque pressure actual value, including: when |Y _pv (k)-Y _sp (k)|≤f ₁ and us _p (k)≤g, Δus _p (k)＝0. When |Y _pv (k)-Y _sp (k)|≤f ₁ and us _p (k)＞ _g , Δus _p (k)＝-h′. When f ₁ ＜Y _pv (k)-Y _sp (k)≤f ₃ , or -f ₂ ≤Y _pv (k)-Y _sp (k)＜-f ₁ , Δus _p (k) is determined according to the rake torque pressure actual value. When f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , _Δus p (k) is determined according to the rake torque pressure actual value. In the case of Y _pv (k)-Y _sp (k)＞f ₅ , Δu _sp (k) is determined according to the actual value of the mud layer interface height and the actual value of the rake torque pressure. In the case of -f ₄ ≤Y _pv (k)-Y _sp (k)＜-f ₂ , Δu _sp (k) is determined according to the actual value of the rake torque pressure. In the case of Y _pv (k)-Y _sp (k)＜-f ₄ , Δu _sp (k) is determined according to the actual value of the rake torque pressure. The current set frequency value of the dosing pump is adjusted according to the following formula: u _sp (k)＝u _sp (k-1)+Δu _sp (k). Wherein, the current time is assumed to be k, Y _pv (k) is the actual value of the mud layer interface height, Y _sp (k) is the set value of the mud layer interface height, u _sp (k) is the set value of the dosing pump frequency, Δu _sp (k) is the frequency set value change, and f ₁ , f ₂ , f ₃ , f ₄ , f ₅ , g, and h' are empirical values.

Optionally, when _f1 ＜ _Ypv (k) _-Ysp (k) _≤f3 , or _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , determining _Δusp (k) according to the actual value of the rake _torque pressure includes: when _f1 ＜ _Ypv (k) _-Ysp (k) _≤f3 , and _Ppv ( _k )＜ _h3 , _Δusp (k)＝ _KP4 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp(k-1))]+ _KI4 ( _Ypv (k) _-Ysp (k) ₎ . When _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , and _Ppv (k)＜ _h3 , _Δusp (k)＝ _KP4 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI4 ( _Ypv (k) _-Ysp (k)). When _f1 ＜ _Ypv (k) _-Ysp (k) _≤f3 , and _h3≤Ppv (k) _≤h4 , _Δusp (k)＝ _{KP5 [} ( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp( _k -1))]+ _KI5 ( _{Ypv (} k) _-Ysp (k)). When _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , and _h3≤Ppv (k) _≤h4 , _Δusp (k)＝ _KP5 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1)-Ysp ₍ k-1))]+ _KI5 ( _Ypv (k)-Ysp(k)). When _f1 ＜ _Ypv (k) _-Ysp (k) _≤f3 , and _h4 ＜ _Ppv (k), _Δusp (k)＝ _{KP6 [} ( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _-Ysp ( _k -1))]+ _KI6 ( _Ypv (k) _{-Ysp (} k)). When _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , and _h4 ＜ _Ppv (k), _Δusp (k)＝ _KP6 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _-Ysp (k-1))]+ _KI6 ( _Ypv ( _k ) _-Ysp (k)). Wherein, _Ppv (k) is the actual value of the harrow torque pressure, _h3 and _h4 are empirical values, _KPi and _KIi are empirical values, and i＝[4,6].

Optionally, when f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , determining Δu _sp (k) according to the actual value of the rake torque pressure includes: when f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , and P _pv (k)＜h ₄ , Δu _sp (k)＝KP ₇ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₇ (Y _pv (k)-Y _sp (k)). When f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , and P _pv (k)≥h ₄ , Δu _sp (k)＝KP ₈ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₈ (Y _pv (k)-Y _sp (k)). Among them, KP ₇ and KI ₇ are experience values.

Optionally, when Y _pv (k)-Y _sp (k)＞f ₅ , determining Δu _sp (k) according to the actual value of the mud layer interface height and the actual value of the rake torque pressure includes: when Y _pv (k)-Y _sp (k)＞f ₅ , Y _pv (k)＜j ₁ , and P _pv (k)＜h ₄ , Δu _sp (k)＝KP ₉ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₉ (Y _pv (k)-Y _sp (k)). When _Ypv (k) _-Ysp (k)＞ _f5 , _Ypv (k)＜ _j1 , and _Ppv (k) _≥h4 , _Δusp (k)＝ _{KP10 [} ( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp(k-1))]+ _KI10 ( _Ypv (k) _-Ysp (k)). When _Ypv (k) _-Ysp (k)＞ _f5 , _Ypv (k) _≥j1 , and _Ppv (k)＜ _h4 , _Δusp (k)＝ _KP11 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1)-Ysp ₍ k-1))]+ _KI11 ( _Ypv ( _k ) _-Ysp (k)). When _Ypv (k) _-Ysp (k)＞f5, _Ypv (k) _≥j1 , and _Ppv (k) _≥h4 , _Δusp (k)＝ _KP12 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _-Ysp (k-1))]+ _KI12 ( _Ypv (k) _-Ysp (k)). Wherein _j1 is an empirical value, _KP1 and _KI1 are empirical values, and i _＝ [9,12].

Optionally, when -f ₄ ≤Y _pv (k)-Y _sp (k)＜-f ₂ , determining Δu _sp (k) according to the actual value of the rake torque pressure includes: when -f ₄ ≤Y _pv (k)-Y _sp (k)＜-f ₂ and P _pv (k)＜h ₃ , Δu _sp (k)＝KP ₁₃ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₁₃ (Y _pv (k)-Y _sp (k)). When _-f4≤Ypv (k) _-Ysp (k)＜- _f2 , and _Ppv (k) _≥h3 , _Δusp (k)＝ _KP14 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI14 ( _Ypv (k) _-Ysp (k)). KPi and KIi are empirical _values , and i＝[13,14].

Optionally, when Y _pv (k)-Y _sp (k)＜-f ₄ , determining Δu _sp (k) according to the actual value of the rake torque pressure includes: when Y _pv (k)-Y _sp (k)＜-f ₄ and P _pv (k)＜h ₃ , Δu _sp (k)＝KP ₁₅ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₁₅ (Y _pv (k)-Y _sp (k)). When Y _pv (k)-Y _sp (k)＜-f ₄ and h ₃ ＜P _pv (k)＜h ₅ , Δu _sp (k)＝KP ₁₆ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₁₆ (Y _pv (k)-Y _sp (k)). When _Ypv (k) _-Ysp (k)＜- _f4 , and _Ppv (k)＞ _h5 , _Δusp (k)＝ _KP17 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI17 ( _Ypv (k) _-Ysp (k)). Here, _h5 , KPi, and KIi are empirical values, and i＝[15,17].

Optionally, the method further comprises: performing output limiting on the setting frequency value of the dosing pump according to KP _i and KI _i :

in, Set the maximum frequency for the dosing pump, /> Set the minimum frequency for the dosing pump, i = [1, 17].

Optionally, stopping the dosing pump according to a stop signal in the washing and sorting production process includes: stopping the dosing pump when all the combined medium densities are less than the density judgment threshold, or the washing and sorting equipment stops, or the transport belt stops.

In the second aspect, the present invention provides a parameter control system for the coal sludge water sedimentation process, including: a starting module, which starts the dosing pump according to the operation signal in the washing production process, and determines the initial frequency setting value of the dosing pump according to the coal type. A data acquisition and processing module, which collects process data, wherein the process data includes mud layer interface height data and rake machine torque pressure data, and pre-processes the process data to obtain the actual value of the mud layer interface height and the actual value of the rake machine torque pressure. A mud layer interface height adjustment module, under the starting working condition and the normal working condition, adjusts the set mud layer interface height according to the actual value of the rake machine torque pressure to obtain the mud layer interface height setting value, wherein the starting working condition is the working condition within a preset time length after the operation signal is obtained. The normal working condition is the working condition after the starting working condition ends, and the mud layer interface height value and the rake machine torque pressure value do not exceed the preset range. The abnormality handling module controls the start and stop of the dosing pump according to the actual value of the mud layer interface height or the actual value of the rake torque pressure under abnormal working conditions, so as to restore the abnormal working conditions to normal working conditions, wherein the abnormal working conditions are the working conditions where the mud layer interface height value or the rake torque pressure value exceeds the preset range after the starting working conditions are completed. The dosing pump setting frequency adjustment module adjusts the current setting frequency value of the dosing pump according to the mud layer interface height setting value, the mud layer interface height actual value and the rake torque pressure actual value under the starting working conditions and normal working conditions, wherein the current setting frequency value of the dosing pump is the initial frequency setting value of the dosing pump when the dosing pump is just started. The stop module stops the dosing pump according to the stop signal in the washing and sorting production process.

In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the parameter control method for the coal slurry water settling process described in any one of the first aspects.

In a fourth aspect, the present invention provides a storage device including a storage medium and a processor, wherein the storage medium stores a computer program, and when the program is executed by the processor, the parameter control method for the coal slurry water sedimentation process described in any one of the first aspects above is implemented.

(III) Beneficial effects

The beneficial effects of the present invention are as follows: a parameter control method for the coal sludge water sedimentation process of the present invention starts and stops the dosing pump according to the operation signal and the stop signal during the coal sludge water concentration and sedimentation process. Taking into account the changes in the rake machine torque pressure and the mud layer interface height, the mud layer interface height setting value is adjusted by the actual value of the rake machine torque pressure. Then, the current setting frequency of the dosing pump is adjusted according to the mud layer interface height setting value, the actual value of the rake machine torque pressure and the actual value of the mud layer interface height to control the amount of flocculant added to the coal sludge water by the dosing pump. The dynamic adjustment and automatic start and stop of the flocculant dosing pump frequency during the concentration and dosing process are realized, and the concentration and dosing process is unmanned and self-regulated. Compared with manual dosing, the concentration and sedimentation effect is improved, and the interval qualification rate of the mud layer height is improved. The incidence of "black running" and rake pressure accidents is reduced, and the reasonable addition of flocculants is achieved.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a parameter control method for a coal slurry water settling process provided by an embodiment of the present invention;

Figure 2 is a schematic diagram of manually setting the dosing pump frequency;

FIG3 is a curve diagram showing the actual value change of the mud layer interface height when the dosing pump frequency is manually set;

FIG4 is a graph showing the setting value of the dosing pump frequency using the parameter control method of the coal slurry water sedimentation process of the present invention;

5 is a curve diagram showing the actual value change of the mud layer interface height when the dosing pump frequency setting value of the present invention is used;

FIG6 is a block diagram of a parameter control system for a coal slurry water settling process according to an embodiment of the present invention.

[Description of Reference Numerals]

1: actual value of mud layer interface height;

2: Upper limit of mud layer interface height setting value;

3: Lower limit of mud layer interface height setting value;

600: Parameter control system of coal slurry water sedimentation process;

601: Start module;

602: data acquisition and processing module;

603: Mud layer interface height adjustment module;

604: exception handling module;

605: Dosing pump frequency adjustment module;

606: Stop module.

Detailed ways

In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

Due to the complex conditions of the coal slurry system, the content of final raw coal in the raw coal fluctuates greatly, the selection rate fluctuates greatly, and the process equipment parameters are unstable, resulting in poor operation of the coal slurry system, especially the coal slurry sedimentation link. Most coal preparation plants add high molecular weight flocculants in the coal slurry water treatment production process to accelerate the sedimentation of coal slurry particles in the coal slurry water.

Since the coal slime water treatment process is a link with large hysteresis and large inertia, the interface of the coal slime layer is difficult to detect accurately, and there is a complex nonlinear relationship with parameters such as torque. It has been difficult to achieve operational control of flocculation and dosing for a long time.

At present, the frequency setting of the flocculant dosing machine in the concentration and sedimentation process is still manually set. The workers use a transparent probe to obtain the sedimentation situation, and then manually adjust the dosing pump frequency based on experience to control the flocculation and sedimentation effect of the coal slurry water. Since it is difficult for workers to measure the mud layer interface in time to adjust the flocculant dosage, it is often the case that too much agent is added, resulting in high bottom flow concentration, high torque, and even "rake pressure" problems; or too little agent causes "black running" problems, making it difficult to ensure the sedimentation effect, and the agent is used irrationally.

In view of this complex industrial process, an embodiment of the present invention proposes a parameter control method for the coal sludge water sedimentation process, and intelligently sets the frequency of the flocculant automatic dosing pump. In the embodiment of the present invention, the experience and knowledge of the job workers are used to automatically identify the production conditions, and the expert experience in different working conditions and the domain knowledge base are combined. The idea of cascade control is adopted, and the mud layer interface height setting value is obtained based on the collected rake machine torque pressure data; through the intelligent switching of different controllers, the PI control + output limit compensation method is adopted to adjust the current set frequency of the dosing pump. At the same time, under abnormal conditions, the dosing pump is automatically started and stopped, and the alarm is realized to ensure that the abnormal conditions are quickly restored to normal conditions.

The parameter control method for the coal slurry water settling process proposed by the present invention realizes the real-time dynamic adjustment and automatic start and stop of the flocculant dosing pump frequency in the concentration dosing process by means of working condition identification and feedback information and rule reasoning.

In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

Example:

Taking the coal slime water treatment process of a coal preparation plant as an example, the coal slime water separated at each level enters the thickening tank through the feed pipe of the thickening tank, and the dosing pump adds an appropriate amount of flocculant in the feed pipe of the coal slime water of the thickening tank. The coal slime particles in the coal slime water settle and concentrate under the action of the agent. After being concentrated by the thickener, the clarified water on the top overflows to the main washing workshop for recycling. The coal slime deposited at the bottom of the thickener is pumped to the plate pressing workshop by the underflow pump under the rotation of the rake machine for the next step of filter pressing. The information that can be detected online includes: the torque pressure of the thickening tank rake machine and the mud layer interface height.

1 , a first aspect of the present invention provides a method for controlling parameters in a coal slurry water settling process, comprising:

S101, starting the dosing pump according to the operation signal in the washing production process, and determining the initial frequency setting value of the dosing pump according to the coal type.

S102, collecting process data, wherein the process data includes mud layer interface height data and rake machine torque pressure data, and preprocessing the process data to obtain actual values of mud layer interface height and rake machine torque pressure.

S103, under the initial working condition and the normal working condition, the set mud layer interface height is adjusted according to the actual value of the rake torque pressure to obtain a set value of the mud layer interface height.

The starting working condition is the working condition within a preset time after the operation signal is obtained. The normal working condition is the working condition where the mud layer interface height value and the rake torque pressure value do not exceed the preset range after the starting working condition ends.

S104, under abnormal working conditions, the start and stop of the dosing pump is controlled according to the actual value of the mud layer interface height or the actual value of the rake torque pressure, so as to restore the abnormal working condition to a normal working condition.

Among them, the abnormal working condition is the working condition in which the mud layer interface height value or the rake torque pressure value exceeds the preset range after the initial working condition ends.

S105, adjusting the current set frequency value of the dosing pump according to the mud layer interface height set value, the mud layer interface height actual value and the rake machine torque pressure actual value under the initial working condition and the normal working condition respectively.

When the dosing pump is just started, the current set frequency value of the dosing pump is the initial frequency setting value of the dosing pump.

S106, stopping the dosing pump according to the stop signal in the washing and selection production process.

This embodiment proposes a parameter control method for the coal sludge water sedimentation process. During the coal sludge water concentration and sedimentation process, the dosing pump is started and stopped according to the operation signal and the stop signal. Taking into account the changes in the rake machine torque pressure and the mud layer interface height, the mud layer interface height setting value is adjusted by the actual value of the rake machine torque pressure. Then, the current setting frequency of the dosing pump is adjusted according to the mud layer interface height setting value, the actual value of the rake machine torque pressure and the actual value of the mud layer interface height to control the amount of flocculant added to the coal sludge water by the dosing pump. The dynamic adjustment and automatic start and stop of the flocculant dosing pump frequency during the concentration and dosing process are realized, and the concentration and dosing process is unmanned and self-regulated. Compared with manual dosing, the concentration and sedimentation effect is improved, and the interval qualification rate of the mud layer height is improved. The incidence of "black running" and rake pressure accidents is reduced, and the reasonable addition of flocculants is achieved.

Optionally, the operating signal includes an actual value of the combined medium density, a washing equipment start signal or a conveyor belt start signal, and the dosing pump is started according to the operating signal in the washing production process, including: starting the dosing pump when any of the combined medium density is greater than the density judgment threshold, or the washing equipment is turned on, or the conveyor belt is turned on.

The density judgment threshold is set to 1.4. Since there are multiple combined medium densities (density of qualified medium) during the washing process, the dosing pump needs to be turned on when any combined medium density is greater than the density judgment threshold.

During the washing and sorting process, one dosing machine has two dosing pumps. Due to uncertain factors such as maintenance or failure of the dosing pump, there is a manual selection of which dosing pump to turn on when turning on the dosing pump. If no selection is made, the dosing pump used before the last shutdown will be automatically turned on by default. The other dosing standby pump will be used as a backup in abnormal operating conditions.

Optionally, the initial frequency setting value of the dosing pump is determined according to the coal type, including: when the coal type is 32 coal, _usp (k)= _e1 . When the coal type is 52 coal, _usp (k)= _e2 . When the coal type is mixed coal, _usp (k)= _e3 . Wherein, _usp (k) is the initial frequency setting value of the dosing pump, and _e1 , _e2 , and _e3 are empirical values.

Optionally, the coal type is determined by a feeding device or manually. Different feeding devices are used for different coal types, so the coal type can be determined by the feeding device. Alternatively, the coal type can be determined by manually sending signals.

Optionally, e ₁ , e ₂ , and e ₃ are 12 Hz, 20 Hz, and 14 Hz, respectively.

Optionally, pre-process the process data, including:

Perform first-order inertial filtering on the process data of the time series within the time window to obtain the filtered value. Perform manual measurement on the process data at n moments at the same time interval within the time window, calculate the error between the manual measurement value and the filtered value corresponding to the n moments, and calculate the average error value, so as to compensate the filtered value with the average error value. The formula is as follows: Y(k) = αX(k) + (1-α)Y(k-1) + V(k) where α is the filter coefficient, X(k) is the process data collected this time, Y(k-1) is the output value of the last filter, Y(k) is the output value of this filter, and V(k) is the average error value. Ya(k) is the manual measurement value of this time.

Due to the burr phenomenon of mud layer interface height caused by the rotation of the rake, the fluctuation in the torque pressure transmission process and the inherent error of the instrument, the collected time series data needs to be preprocessed to improve the data reliability. In the rake torque pressure filtering process, α is 0.1; in the mud layer interface height filtering process, α is 0.01, and n is [5, 15], and the specific value of n is 10.

Optionally, under the initial working condition and the normal working condition, the set mud layer interface height is adjusted according to the actual value of the rake torque pressure to obtain the mud layer interface height setting value, including: calculating the mud layer interface height setting value _ysp (k) according to the following formula: _ysp (k)=[ _yhsp (k)+ _ylsp (k)]/2. In the case of _Ppv (k)＞ _b1 , _yhsp (k)= _Ppv (k)+ _c1 , _ylsp (k)= _Ppv (k) _-d1 . In the case of _b2 ＜ _Ppv (k) _≤b1 , _yhsp (k)= _Ppv (k)+ _c2 , _ylsp (k)= _Ppv (k) _-d2 . In the case of _Ppv (k) _≤b2 , _yhsp (k)= _Ppv (k)+ _c3 , _ylsp (k)= _Ppv (k) _-d3 . Among them, P _pv (k) is the actual value of the rake torque pressure, y _hsp (k) is the upper limit of the mud layer interface height setting value, y _lsp (k) is the lower limit of the mud layer interface height setting value, b ₁ , b ₂ , c ₁ , c ₂ , c ₃ , d ₁ , d ₂ , and d ₃ are empirical values.

Among them, the adjustment cycle of the mud layer interface height setting value is 3 minutes. _b1 and b2 are 2 and ₁ respectively, and _c1 , _c2 , _c3 , _d1 , _d2 , and _d3 are 0.2, 0.1, 0.2, 0.2, 0.3, and 0.1 respectively. Therefore, the mud layer interface height setting value is determined according to the actual value of the rake torque pressure, and the mud layer interface height setting value is adjusted in time according to the actual working conditions, so as to adjust the dosage of the flocculant in combination with the actual value of the mud layer interface height and improve the flocculation and sedimentation effect.

Optionally, under abnormal working conditions, the start and stop of the dosing pump is controlled according to the actual value of the mud layer interface height or the actual value of the rake torque pressure to restore the abnormal working condition to the normal working condition, including: when (Y _pv (k)-Y _sp (k)) is less than -f ₄ , and P _pv (k) is greater than h ₆ , the dosing pump is stopped. Or, when P _pv (k) is greater than h ₇ , the dosing pump is stopped. When P _pv (k) is less than h ₈ , the dosing pump is started. When (Y _pv (k)-Y _sp (k)) is greater than f ₅ , and Y _pv (k) is greater than j ₁ for five minutes, it is determined whether P _pv (k) is less than h _8. When P _pv (k) is less than h ₈ , the dosing standby pump is started, and the dosing frequency of the dosing standby pump is set to 15 Hz. When Y _pv (k) is less than j ₂ , or P _pv (k) is greater than h ₇ , the dosing standby pump is stopped. Among them, _f4 , _f5 , _h6 , _h7 , _h8 , _j1 , and _j2 are empirical values.

_f4 , _f5 , _h6 , _h7 , _h8 , _j1 , _j2 are 0.3, 0.5, 2.4, 3.0, 2.5, 2.2, 2.5 respectively. After the initial working condition is over, the working condition when the torque pressure and mud layer height fluctuate beyond a certain range is defined as an abnormal working condition, which includes the black running accident caused by the increase of mud layer height due to poor flocculation and sedimentation and the rake pressure accident caused by the increase of torque pressure due to excessive flocculation and sedimentation. Under the above two abnormal working conditions, a series of processing work is automatically carried out to realize the automatic start and stop and alarm of the corresponding dosing pump to ensure that the abnormal working condition is quickly restored to the normal working condition. When the mud layer interface height deviation is less than the threshold value _-f4 and the torque pressure feedback is greater than the threshold value _h6 , or the torque pressure feedback is greater than the threshold value _h7 , it is judged that the pressure is too high and there is a risk of rake pressure. At this time, the dosing pump that is dosing is stopped. After waiting for the filter press (plate press or pressurization) link to process the bottom coal slime, when the torque pressure feedback is less than the safety threshold _h8 , the dosing pump that was stopped due to the abnormal working condition is automatically started. Under normal operating conditions, when the mud layer interface height deviation is greater than the threshold value f ₅ and the mud layer interface feedback is greater than the threshold value j ₁ , the software timing is turned on. The timing avoids the misjudgment of short-term mud layer fluctuations caused by coal slurry water inflow fluctuations or bottom flow discharge (this situation can be eliminated in a short time by appropriate dosing). When this condition is met for 5 minutes, it is judged that the mud layer is too high. When the torque pressure feedback is less than the safety threshold value h ₈ , the other dosing pump of the dosing machine is automatically started and the dosing frequency is given. After waiting for the coal slurry water flocculation and sedimentation effect to improve, that is, when the mud layer interface feedback is less than the threshold value j ₂ or the torque pressure feedback is greater than the threshold value h ₇ , the dosing pump started due to abnormal conditions is automatically stopped.

Optionally, under the initial working condition, the current set frequency value of the dosing pump is adjusted according to the mud layer interface height set value, the mud layer interface height actual value and the rake torque pressure actual value, including: when |Y _pv (k)-Y _sp (k)|≤f ₁ and us _p (k)≤g, Δus _sp (k)＝0. When |Y _pv (k)-Y _sp (k)|≤f ₁ and us _p (k)＞g, Δus _sp (k)＝-h′. When |Y _pv (k)-Y _sp (k)|＞f ₁ and P _pv (k)＜h ₁ , Δus _sp (k)＝KP ₁ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₁ (Y _pv (k)-Y _sp (k)). When | _Ypv (k) _-Ysp (k)|＞ _f1 , and _Ppv (k) _≤h2 , _Δusp (k)＝ _KP2 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI2 ( _Ypv (k) _-Ysp (k)). When | _Ypv (k) _-Ysp (k)|＞ _f1 , and _Ppv (k) _≥h2 , _Δusp ( _k )＝ _KP3 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp ₍ k-1))]+ _KI3 ( _Ypv (k) _-Ysp (k)). The current set frequency value of the dosing pump is adjusted according to the following formula: _usp (k)＝ _usp (k-1)+ _Δusp (k). Wherein, suppose the current time is k, Y _pv (k) is the actual value of the mud layer interface height, Y _sp (k) is the set value of the mud layer interface height, u _sp (k) is the set value of the dosing pump frequency, Δus _p (k) is the change in the frequency setting value, P _pv (k) is the actual value of the rake torque pressure, f ₁ , h ₁ , h ₂ , h', g, KPi, KIi are empirical values, and i=[1, 3].

The values of _f1 , _h1 , _h2 , h', g, KP1, _KI1 , _KP2 , _KI2 , _KP3 , and _KI3 are 0.1, 1.0, 1.5, 0.2, 14.0, 1.0, 5.0, 1.0, 5.0, 1.0, and _5.0 respectively. Within 40 minutes after the dosing pump is turned on, it is the starting condition. The adjustment cycle of the dosing pump frequency setting value is 1 minute. When the absolute value of the mud layer interface height deviation is less than or equal to f1, and the delivery pump frequency setting value is less than or equal to g, the current setting value of the dosing machine delivery pump is maintained unchanged. When the absolute value of the mud layer interface height deviation is less than or equal to f1, and the delivery pump frequency setting value is greater than g, reduce the current setting value of the dosing machine delivery pump to save reagents. In other cases, the concentration effect is improved by adjusting the current setting value of the dosing machine delivery pump.

Optionally, under normal working conditions, the current set frequency value of the dosing pump is adjusted according to the mud layer interface height set value, the mud layer interface height actual value and the rake torque pressure actual value, including: when |Y _pv (k)-Y _sp (k)|≤f ₁ and u _sp (k) _≤g , Δu _sp (k)＝0. When |Y _pv (k)-Y _sp (k)|≤f ₁ and u _sp (k)＞g, Δu _sp (k)＝-h′. When f ₁ ＜Y _pv (k)-Y _sp (k)≤f ₃ , or -f ₂ ≤Y _pv (k)-Y _sp (k)＜-f ₁ , Δu _sp (k) is determined according to the rake torque pressure actual value. When f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , Δu _sp (k) is determined according to the rake torque pressure actual value. In the case of Y _pv (k)-Y _sp (k)＞f ₅ , Δu _sp (k) is determined according to the actual value of the mud layer interface height and the actual value of the rake torque pressure. In the case of -f ₄ ≤Y _pv (k)-Y _sp (k)＜-f ₂ , Δu _sp (k) is determined according to the actual value of the rake torque pressure. In the case of Y _pv (k)-Y _sp (k)＜-f ₄ , Δu _sp (k) is determined according to the actual value of the rake torque pressure. The current set frequency value of the dosing pump is adjusted according to the following formula: u _sp (k)＝u _sp (k-1)+Δu _sp (k). Wherein, the current time is assumed to be k, Y _pv (k) is the actual value of the mud layer interface height, Y _sp (k) is the set value of the mud layer interface height, u _sp (k) is the set value of the dosing pump frequency, Δu _sp (k) is the frequency set value change, and f ₁ , f ₂ , f ₃ , f ₄ , f ₅ , g, and h' are empirical values.

_f1 , _f2 , _f3 , _f4 , _f5 , g, h' are 0.1, 0.2, 0.3, 0.3, 0.5, 14.0, 0.2 respectively. The adjustment cycle of the dosing pump frequency setting value is 1min. When the absolute value of the mud layer interface height deviation is less than or equal to _f1 , and the delivery pump frequency setting value is less than or equal to g, the current setting value of the dosing machine delivery pump is maintained unchanged. When the absolute value of the mud layer interface height deviation is less than or equal to _f1 , and the delivery pump frequency setting value is greater than g, reduce the current setting value of the dosing machine delivery pump to save medicine. In other cases, the concentration effect is improved by adjusting the current setting value of the dosing machine delivery pump.

Optionally, when _f1 ＜ _Ypv (k) _-Ysp (k) _≤f3 , or _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , _Δusp (k) is determined according to the actual value of the _rake torque pressure, including: when _f1 ＜ _Ypv (k) _-Ysp (k _{) ≤f3} , and _Ppv (k)＜ _h3 , _Δusp (k)＝ _KP4 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp(k-1))]+KI4(Ypv ( k} ) _-Ysp (k)). When _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , and _Ppv (k)＜ _h3 , _Δusp (k)＝ _KP4 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI4 ( _Ypv (k) _-Ysp (k)). When _f1 ＜ _Ypv (k) _-Ysp (k) _≤f3 , and _h3≤Ppv (k) _≤h4 , _Δusp (k)＝ _{KP5 [} ( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp( _k -1))]+ _KI5 ( _{Ypv (} k) _-Ysp (k)). When _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , and _h3≤Ppv (k) _≤h4 , _Δusp (k)＝ _KP5 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1)-Ysp ₍ k-1))]+ _KI5 ( _Ypv (k)-Ysp(k)). When _f1 ＜ _Ypv (k) _-Ysp (k) _≤f3 , and _h4 ＜ _Ppv (k), _Δusp (k)＝ _{KP6 [} ( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _-Ysp ( _k -1))]+ _KI6 ( _Ypv (k) _{-Ysp (} k)). When _-f2≤Ypv (k) _-Ysp (k)＜- _f1 , and _h4 ＜ _Ppv (k), _Δusp (k)＝ _KP6 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _-Ysp (k-1))]+ _KI6 ( _Ypv ( _k ) _-Ysp (k)). Wherein, _Ppv (k) is the actual value of the harrow torque pressure, _h3 and _h4 are empirical values, _KPi and _KIi are empirical values, and i＝[4,6].

Among them, the values of h ₃ and h ₄ are 1.0 and 2.0 respectively, and the values of KP ₄ , KI ₄ , KP ₅ , KI ₅ , KP ₆ , and KI ₆ are 5.0, 1.0, 5.0, 1.0, 5.0, and 1.0 respectively.

Optionally, when f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , determining Δu _sp (k) according to the actual value of the rake torque pressure includes: when f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , and P _pv (k)＜h ₄ , Δu _sp (k)＝KP ₇ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₇ (Y _pv (k)-Y _sp (k)). When f ₃ ＜Y _pv (k)-Y _sp (k)≤f ₅ , and P _pv (k)≥h ₄ , Δu _sp (k)＝KP ₈ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₈ (Y _pv (k)-Y _sp (k)). Among them, KP ₇ , KI ₇ , KP ₈ , and KI ₈ are experience values.

The values of KP ₇ , KI ₇ , KP ₈ , and KI ₈ are 8.0, 0.4, 8.0, and 0.4 respectively.

Optionally, when Y _pv (k)-Y _sp (k)＞f ₅ , Δu _sp (k) is determined according to the actual value of the mud layer interface height and the actual value of the rake torque pressure, including: when Y _pv (k)-Y _sp (k)＞f ₅ , Y _pv (k)＜j ₁ , and P _pv (k)＜h ₄ , Δu _sp (k)＝KP ₉ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₉ (Y _pv (k)-Y _sp (k)). When _Ypv (k) _-Ysp (k)＞ _f5 , _Ypv (k)＜ _j1 , and _Ppv (k) _≥h4 , _Δusp (k)＝ _{KP10 [} ( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp(k-1))]+ _KI10 ( _Ypv (k) _-Ysp (k)). When _Ypv (k) _-Ysp (k)＞ _f5 , _Ypv (k) _≥j1 , and _Ppv (k)＜ _h4 , _Δusp (k)＝ _KP11 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1)-Ysp ₍ k-1))]+ _KI11 ( _Ypv ( _k ) _-Ysp (k)). When _Ypv (k) _-Ysp (k)＞f5, _Ypv (k) _≥j1 , and _Ppv (k) _≥h4 , _Δusp (k)＝ _KP12 [( _Ypv (k)-Ysp ₍ k))-( _Ypv (k-1) _-Ysp (k-1))]+ _KI12 ( _Ypv (k) _-Ysp (k)). Wherein _j1 is an empirical value, KPi and KIi are empirical values, and i _＝ [9,12].

The values of j ₁ , KP ₉ , KI ₉ , KP ₁₀ , KI ₁₀ , KP ₁₁ , KI ₁₁ , KP ₁₂ , and KI ₁₂ are 2.2, 10.0, 0.5, 10.0, 0.5, 10.0, 0.6, 10.0, and 0.6 respectively.

Optionally, when _-f4≤Ypv (k) _-Ysp (k)＜- _f2 , _Δusp (k ₎ is determined according to the actual value of the rake torque pressure, including: when _-f4≤Ypv (k) _-Ysp (k)＜- _f2 , and _Ppv (k)＜ _h3 , _Δusp (k)＝ _KP13 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _-Ysp (k-1))]+ _KI13 ( _Ypv (k) _-Ysp (k) ₎ . When _-f4≤Ypv (k) _-Ysp (k)＜- _f2 , and _Ppv (k) _≥h3 , _Δusp (k)＝ _KP14 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI14 ( _Ypv (k) _-Ysp (k)). KPi and KIi are empirical _values , and i＝[13,14].

The values of KP ₁₃ , KI ₁₃ , KP ₁₄ , and KI ₁₄ are 5.0, 1.3, 5.0, and 1.3 respectively.

Optionally, when Y _pv (k)-Y _sp (k)＜-f ₄ , determining Δu _sp (k) according to the actual value of the rake torque pressure includes: when Y _pv (k)-Y _sp (k)＜-f ₄ and P _pv (k)＜h ₃ , Δu _sp (k)＝KP ₁₅ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₁₅ (Y _pv (k)-Y _sp (k)). When Y _pv (k)-Y _sp (k)＜-f ₄ and h ₃ ＜P _pv (k)＜h ₅ , Δu _sp (k)＝KP ₁₆ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₁₆ (Y _pv (k)-Y _sp (k)). When _Ypv (k) _-Ysp (k)＜- _f4 , and _Ppv (k)＞ _h5 , _Δusp (k)＝ _KP17 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI17 ( _Ypv (k) _-Ysp (k)). Here, _h5 , _KP1 , and _KI1 are empirical values, and i＝[15,17].

The values of h ₅ , KP ₁₅ , KI ₁₅ , KP ₁₆ , KI ₁₆ , KP ₁₇ , and KI ₁₇ are 1.6, 5.0, 1.2, 5.0, 1.2, 5.0, and 2.0, respectively.

Optionally, the method further includes: performing output limiting on the set frequency value of the dosing pump according to KP _i and KI _i :

in, Set the maximum frequency of the dosing pump, the values are 19.0, 17.0, 14.0, 22.0, 22.0, 18.0, 24.0, 18.0, 25.0, 18.0, 26.0, 18.0, 15.0, 15.0, 13.0, 13.0, 9.0, /> Set the minimum frequency of the dosing pump, and the values are 10.0, 8.0, 6.0, 12.0, 12.0, 6.0, 15.0, 8.0, 17.0, 10.0, 19.0, 12.0, 9.0, 6.0, 8.0, 6.0, 3.0, i = [1, 17].

By limiting the frequency value set for the dosing pump, it is possible to avoid the situation where the frequency is set too high or too low during the frequency adjustment of the dosing pump, thereby ensuring that the coal slurry water concentration and sedimentation process can operate normally.

Optionally, the dosing pump is stopped according to a stop signal in the washing production process, including: when all the combined medium densities are less than the density judgment threshold, or the washing equipment stops, or the transport belt stops, the dosing pump is stopped.

The density judgment threshold is set to 1.4. Since there are multiple combined medium densities (density of qualified medium) in the washing process, the dosing pump can be stopped only when all combined medium densities are less than the density judgment threshold.

As shown in Figure 2, it is the manually set dosing pump frequency, and as shown in Figure 3, it is the actual value change curve of the mud layer interface height when the dosing pump frequency is manually set. It can be clearly seen from the figure that through the manually set dosing pump frequency, the actual value 1 of the mud layer interface height is limited by the upper limit 2 of the mud layer interface height setting value and the lower limit 3 of the mud layer interface height setting value, and the range of up and down fluctuation is too large and unstable. As shown in Figure 4, it is the dosing pump frequency setting value curve of the parameter control method of the coal slurry water sedimentation process of the present invention, and as shown in Figure 5, it is the actual value change curve of the mud layer interface height when the dosing pump frequency setting value of the present invention is adopted. It can be clearly seen from the figure that through the manually set dosing pump frequency, the actual value 1 of the mud layer interface height can be well controlled within the range of the upper limit 2 of the mud layer interface height setting value and the lower limit 3 of the mud layer interface height setting value. Compared with the manual setting effect, the parameter control method of the coal sludge water sedimentation process of the present invention can timely adjust the frequency of the flocculant dosing pump to adapt to the changes in complex working conditions, and better control the mud layer height within the reference range, wherein the interval qualification rate is increased by 13.14% compared with the manual setting, and the flocculant consumption per ton of raw coal is reduced by 0.5%. It effectively guarantees the mud layer height, i.e. the quality of the circulating water, saves the production water added in the process, improves the sedimentation effect, ensures continuous production, and reduces the incidence of rake pressure accidents. It realizes accurate dosing and rational use of drugs, and reduces labor intensity.

In the second embodiment, as shown in FIG6 , the present invention provides a parameter control system 600 for the coal slurry water sedimentation process, comprising: a start module 601, a data acquisition and processing module 602, a mud layer interface height adjustment module 603, an abnormality processing module 604, a dosing pump setting frequency adjustment module 605 and a stop module 606. Among them, the start module 601 starts the dosing pump according to the operation signal in the washing production process, and determines the initial frequency setting value of the dosing pump according to the coal type. The data acquisition and processing module 602 collects process data, wherein the process data includes mud layer interface height data and rake machine torque pressure data, and pre-processes the process data to obtain the actual value of the mud layer interface height and the actual value of the rake machine torque pressure. The mud layer interface height adjustment module 603 adjusts the set mud layer interface height according to the actual value of the rake machine torque pressure under the starting working condition and the normal working condition to obtain the mud layer interface height setting value, wherein the starting working condition is the working condition within the preset time length after the operation signal is obtained. The normal working condition is the working condition where the mud layer interface height value and the rake machine torque pressure value do not exceed the preset interval after the starting working condition ends. The abnormality handling module 604 controls the start and stop of the dosing pump according to the actual value of the mud layer interface height or the actual value of the rake torque pressure under abnormal working conditions, so as to restore the abnormal working conditions to normal working conditions, wherein the abnormal working conditions are the working conditions in which the mud layer interface height value or the rake torque pressure value exceeds the preset interval after the initial working conditions are completed. The dosing pump setting frequency adjustment module 605 adjusts the current setting frequency value of the dosing pump according to the mud layer interface height setting value, the mud layer interface height actual value and the rake torque pressure actual value under the initial working conditions and normal working conditions, wherein, when the dosing pump is just started, the current setting frequency value of the dosing pump is the initial frequency setting value of the dosing pump. The stop module 606 stops the dosing pump according to the stop signal in the washing production process. The parameter control system of the coal slurry water sedimentation process provided by the technical solution of the present invention is used to implement the steps of the parameter control method of the coal slurry water sedimentation process provided by the first aspect of the present invention, so the parameter control system of the coal slurry water sedimentation process has all the technical effects of the parameter control method of the coal slurry water sedimentation process, which will not be repeated here.

In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the parameter control method for the coal slime water sedimentation process of any one of the first aspects.

In a fourth aspect, the present invention provides a storage device including a storage medium and a processor, wherein the storage medium stores a computer program, and when the program is executed by the processor, the parameter control method for the coal slime water sedimentation process of any one of the above-mentioned first aspects is implemented.

In addition, in order to implement the parameter control method of the above-mentioned coal slurry water sedimentation process, this embodiment also provides a control system for the coal slurry water concentration and dosing process that implements the above-mentioned control method. The control system may include: multiple detection devices and control devices.

The first detection device is used to detect the torque pressure information of the rake machine of different concentration tanks. The first detection device can be a pressure gauge. The first detection device is arranged in the central area of the concentration tank.

The second detection device is used to detect the mud layer interface height of the concentration tank. The second detection device can be a mud layer interface meter with a minimum detection cycle of 10s. The second detection device also needs to be arranged in the central area of the concentration tank.

The control program is deployed in the newly added Rockwell PLC. The flocculant preparation and delivery system can use Siemens' S7-200 system, and Profibus DP communication is used to realize data communication between the flocculant preparation and delivery system and the newly added Rockwell PLC. Two mud layer interface height detection devices are used to measure the mud layer interface height of the thickening tank, obtain the thickening tank torque and flocculant flow measurement signals, and connect to the control system.

The process control software and process monitoring software of the control system adopt Studio5000 and RSview32 respectively. On the above software platforms, the intelligent dosing control software of the concentration sedimentation process and the intelligent dosing monitoring software of the concentration sedimentation process are developed respectively.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include these modifications and variations.

Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may alter, modify, replace and modify the above embodiments within the scope of the present invention.

Claims (18)

1. A parameter control method for a coal slurry water settling process, characterized by comprising: Start the dosing pump according to the operation signal in the washing production process, and determine the initial frequency setting value of the dosing pump according to the type of coal; Collecting process data, wherein the process data includes mud layer interface height data and rake machine torque pressure data, and preprocessing the process data to obtain actual values of mud layer interface height and rake machine torque pressure; Under the starting working condition and the normal working condition, the set mud layer interface height is adjusted according to the actual value of the rake torque pressure to obtain the mud layer interface height setting value, wherein the starting working condition is the working condition within the preset time after the operation signal is obtained; the normal working condition is the working condition after the starting working condition ends, when the mud layer interface height value and the rake torque pressure value do not exceed the preset range; Under abnormal working conditions, the start and stop of the dosing pump is controlled according to the actual value of the mud layer interface height or the actual value of the rake torque pressure, so as to restore the abnormal working condition to the normal working condition, wherein the abnormal working condition is the working condition where the mud layer interface height value or the rake torque pressure value exceeds the preset range after the initial working condition ends; Under the initial working condition and the normal working condition, the current set frequency value of the dosing pump is adjusted according to the mud layer interface height set value, the actual value of the mud layer interface height and the actual value of the rake torque pressure. When the dosing pump is just started, the current set frequency value of the dosing pump is the initial frequency setting value of the dosing pump. Stop the dosing pump according to the stop signal during the washing production process. 2. The parameter control method for the coal slime water sedimentation process according to claim 1 is characterized in that the operating signal includes an actual value of the coal medium density, a washing equipment start signal or a conveyor belt start signal, and the dosing pump is started according to the operating signal in the washing production process, comprising: When any of the combined medium density is greater than the density judgment threshold, or the washing equipment is turned on, or the transport belt is turned on, the dosing pump is started. 3. The parameter control method for the coal slurry water sedimentation process according to claim 1 is characterized in that the initial frequency setting value of the dosing pump is determined according to the type of coal, comprising: In the case of coal type 3-2 coal, u _sp (k) = e ₁ ; In the case of coal type 52, u _sp (k) = e ₂ ; When the coal type is mixed coal, u _sp (k) = e ₃ ; Among them, _usp (k) is the initial frequency setting value of the dosing pump, and _e1 , _e2 , and _e3 are empirical values. 4. The parameter control method for the coal slurry water settling process according to claim 1, characterized in that the preprocessing of the process data comprises: Perform first-order inertial filtering on the time series process data within the time window to obtain a filtered value; Perform manual measurements of process data at n times at the same time interval within the time window, calculate the error between the manual measurement value and the filtered value corresponding to the n times, and calculate the average value of the error, so as to compensate the filtered value with the average error value. The formula is as follows: Y(k)＝αX(k)+(1-α)Y(k-1)+V(k) Among them, α is the filter coefficient, X(k) is the process data collected this time, Y(k-1) is the output value of the last filter, Y(k) is the output value of this filter, V(k) is the error average value, Ya(k) is the manual measurement value of this time. 5. The parameter control method for the coal slurry water sedimentation process according to claim 1 is characterized in that, under the initial working condition and the normal working condition, the set mud layer interface height is adjusted according to the actual value of the rake torque pressure to obtain the mud layer interface height setting value, including: The mud layer interface height setting value y _sp (k) is calculated according to the following formula: y _sp (k) = [y _hsp (k) + y _lsp (k)] / 2; In the case of P _pv (k)>b ₁ , y _hsp (k)＝P _pv (k)+c ₁ , y _lsp (k)＝P _pv (k)-d ₁ ; In the case of b ₂ <P _pv (k) ≤ b ₁ , y _hsp (k) = P _pv (k) + c ₂ , y _lsp (k) = P _pv (k) - d ₂ ; In the case of P _pv (k) ≤ b ₂ , y _hsp (k) = P _pv (k) + c ₃ , y _lsp (k) = P _pv (k) - d ₃ ; Among them, P _pv (k) is the actual value of the rake torque pressure, y _hsp (k) is the upper limit of the mud layer interface height setting value, y _lsp (k) is the lower limit of the mud layer interface height setting value, b ₁ , b ₂ , c ₁ , c ₂ , c ₃ , d ₁ , d ₂ , d ₃ are empirical values. 6. The parameter control method for the coal slurry water sedimentation process according to claim 1 is characterized in that, under abnormal working conditions, the start and stop of the dosing pump is controlled according to the actual value of the mud layer interface height or the actual value of the rake torque pressure to restore the abnormal working condition to the normal working condition, including: When (Y _pv (k)-Y _sp (k))<-f ₄ and P _pv (k)>h ₆ , the dosing pump is stopped; or, when P _pv (k)>h ₇ , the dosing pump is stopped; When P _pv (k) < h ₈ , turn on the dosing pump; When (Y _pv (k)-Y _sp (k))>f ₅ and Y _pv (k)>j ₁ for five minutes, determine whether P _pv (k)<h ₈ ; When P _pv (k) < h ₈ , start the dosing standby pump and set the dosing frequency of the dosing standby pump to 15 Hz; In the case of Y _pv (k)<j ₂ , or P _pv (k)>h ₇ , stop the dosing standby pump; Among them, _f4 , _f5 , _h6 , _h7 , _h8 , _j1 , and _j2 are empirical values. 7. The parameter control method for the coal slurry water sedimentation process according to claim 1 is characterized in that, under the initial working condition, the current set frequency value of the dosing pump is adjusted according to the mud layer interface height set value, the mud layer interface height actual value and the rake machine torque pressure actual value, including: When |Y _pv (k)-Y _sp (k)|≤f ₁ and u _sp (k)≤g, Δus _sp (k)＝0; In the case of |Y _pv (k)-Y _sp (k)|≤f ₁ , and u _sp (k)>g, Δus _sp (k)＝-h′; When | _Ypv (k) _-Ysp (k)|> _f1 , and _Ppv (k)< _h1 , _Δusp (k)= _KP1 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI1 ( _Ypv (k) _-Ysp (k)); When | _Ypv (k) _-Ysp (k)|> _f1 , and _Ppv (k) _≤h2 , _Δusp (k)＝ _KP2 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI2 ( _Ypv (k) _-Ysp (k)); When | _Ypv (k) _-Ysp (k)|> _f1 , and _Ppv (k) _≥h2 , _Δusp (k)＝ _KP3 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI3 ( _Ypv (k) _-Ysp (k)); Adjust the current set frequency value of the dosing pump according to the following formula: u _sp (k) = u _sp (k-1) + Δu _sp (k); Wherein, suppose the current time is k, Y _pv (k) is the actual value of the mud layer interface height, Y _sp (k) is the set value of the mud layer interface height, u _sp (k) is the set value of the dosing pump frequency, Δus _p (k) is the change in the frequency setting value, P _pv (k) is the actual value of the rake torque pressure, f ₁ , h ₁ , h ₂ , h', g, KP _i , KI _i are empirical values, and i = [1, 3]. 8. The parameter control method for the coal slurry water sedimentation process according to claim 7 is characterized in that, under normal working conditions, the current set frequency value of the dosing pump is adjusted according to the mud layer interface height set value, the mud layer interface height actual value and the rake machine torque pressure actual value, including: When |Y _pv (k)-Y _sp (k)|≤f ₁ and u _sp (k)≤g, Δus _sp (k)＝0; In the case of |Y _pv (k)-Y _sp (k)|≤f ₁ , and u _sp (k)>g, Δus _sp (k)＝-h′; In the case of f ₁ <Y _pv (k)-Y _sp (k)≤f ₃ , or -f ₂ ≤Y _pv (k)-Y _sp (k)<-f ₁ , Δu _sp (k) is determined according to the actual value of the rake torque pressure; In the case of f ₃ <Y _pv (k)-Y _sp (k)≤f ₅ , Δu _sp (k) is determined according to the actual value of the rake torque pressure; In the case of Y _pv (k)-Y _sp (k)>f ₅ , Δu _sp (k) is determined according to the actual value of the mud layer interface height and the actual value of the rake torque pressure; In the case of -f ₄ ≤Y _pv (k)-Y _sp (k)<-f ₂ , Δu _sp (k) is determined according to the actual value of the rake torque pressure; In the case of Y _pv (k)-U _sp (k)<-f ₄ , Δu _sp (k) is determined according to the actual value of the rake torque pressure; Adjust the current set frequency value of the dosing pump according to the following formula: u _sp (k) = u _sp (k-1) + Δu _sp (k); Wherein, let the current time be k, Y _pv (k) be the actual value of mud layer interface height, Y _sp (k) be the set value of mud layer interface height, u _sp (k) be the set value of dosing pump frequency, Δu _sp (k) be the change of frequency setting value, f ₁ , f ₂ , f ₃ , f ₄ , f ₅ , g, h' be empirical values. 9. The parameter control method for coal slurry water settling process according to claim 8, characterized in that, in the case of _f1 < _Ypv (k) _-Ysp (k) _≤f3 , or _-f2≤Ypv (k) _-Ysp (k)<- _f1 , determining _Δusp (k) according to the actual value _of the rake torque pressure comprises: When _f1 < _Ypv (k) _-Ysp (k) _≤f3 , and _Ppv (k)< _h3 , _Δusp (k)= _KP4 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI4 ( _Ypv (k) _-Ysp (k)); When _-f2≤Ypv (k) _-Ysp (k)<- _f1 , and _Ppv (k)< _h3 , _Δusp (k)= _KP4 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI4 ( _Ypv (k) _-Ysp (k)); When f ₁ <Y _pv (k) - Y _sp (k) ≤ f ₃ , and h ₃ ≤ _{P pv} (k) ≤ h ₄ , _Δusp (k) = KP ₅ [(Y _pv (k) - Y _sp (k)) - (Y _pv (k - 1) - Y _sp (k - 1))] + KI ₅ (Y _pv (k) - Y _sp (k)); When _-f2≤Ypv (k) _-Ysp (k)<- _f1 , and _h3≤Ppv (k) _≤h4 , _Δusp (k)＝ _KP5 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _{-Ysp(k-1))]+KI5(Ypv ( k ) -Ysp} (k) ₎ ; When f ₁ <Y _pv (k)-Y _sp (k)≤f ₃ and h ₄ <P _pv (k), _Δusp (k)=KP ₆ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₆ (Y _pv (k)-Y _sp (k)); When -f ₂ ≤Y _pv (k) - Y _sp (k) < -f ₁ and h ₄ < P _pv (k), _Δusp (k) = KP ₆ [(Y _pv (k) - Y _sp (k)) - (Y _pv (k - 1) - Y _sp (k - 1))] + KI ₆ (Y _pv (k) - Y _sp (k)); Wherein, P _pv (k) is the actual value of the torque pressure of the harrow, h ₃ and h ₄ are empirical values, KP _i and KI _i are empirical values, and i=[4, 6]. 10. The parameter control method for coal slurry water settling process according to claim 9, characterized in that, in the case of f ₃ <Y _pv (k) -Y _sp (k) ≤ f ₅ , determining Δu _sp (k) according to the actual value of the rake torque pressure comprises: When f ₃ <Y _pv (k)-Y _sp (k)≤f ₅ and P _pv (k)<h ₄ , Δus _p (k)=KP ₇ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₇ (Y _pv (k)-Y _sp (k)); When f ₃ <Y _pv (k)-Y _sp (k)≤f ₅ and P _pv (k)≥h ₄ , Δus _p (k)＝KP ₈ [(Y _pv (k)-Y _sp (k))-(Y _pv (k-1)-Y _sp (k-1))]+KI ₈ (Y _pv (k)-Y _sp (k)); Among them, KP ₇ and KI ₇ are experience values. 11. The parameter control method for the coal slurry water settling process according to claim 10, characterized in that, when Y _pv (k) - Y _sp (k)> f ₅ , determining Δu _sp (k) according to the actual value of the mud layer interface height and the actual value of the rake torque pressure comprises: When _Ypv (k) _-Ysp (k)> _f5 , _Ypv (k)< _j1 , and _Ppv ( _k )< _h4 , _Δusp (k)= _KP9 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp(k-1))]+ _KI9 ( _Ypv (k) _-Ysp (k) ₎ ; When _Ypv (k) _-Ysp (k)> _f5 , _Ypc (k)< _j1 , and _Ppc (k) _≥h4 , _Δusp ( _k )= _KP10 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _-Ysp (k-1))]+ _KI10 ( _Ypv (k) _-Ysp (k)); When _Ypv (k) _-Ysp (k)> _f5 , _Ypv (k) _≥j1 , and _Ppv ( _k )< _h4 , _Δusp (k)= _KP11 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1)-Ysp(k-1))]+ _KI11 ( _Ypv (k) _-Ysp ( _k )); When Y _pv (k) - Y _sp (k) > f ₅ , Y _pv (k) ≥ _{j 1} , and P _pv (k) ≥ h ₄ , _Δusp (k) = KP ₁₂ [( _Ypc (k) - _Ysp (k)) - ( _Ypv (k - 1) - _Ysp (k - 1))] + KI ₁₂ ( _Ypc (k) - _Ysp (k)); Among them, _j1 is an empirical value, KP _i and KI _i are empirical values, and i=[9, 12]. 12. The parameter control method for coal slurry water settling process according to claim 11, characterized in that, in the case of -f ₄ ≤Y _pv (k)-Y _sp (k)<-f ₂ , determining Δu _sp (k) according to the actual value of the rake torque pressure comprises: When _-f4≤Ypv (k) _-Ysp (k)<- _f2 , and _Ppc (k)< _h3 , _Δusp (k)= _KP13 [( _Ypv (k) _-Ysp (k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI13 ( _Ypv (k) _-Ysp (k)); When _-f4≤Ypv (k) _-Ysp (k)<- _f2 , and _Ppv (k) _≥h3 , _Δusp (k)＝ _KP14 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI14 ( _Ypv (k) _{-Ysp (} k)); Among them, KP _i and KI _i are empirical values, i=[13, 14]. 13. The parameter control method for the coal slurry water settling process according to claim 12, characterized in that, when Y _pv (k)-Y _sp (k)<-f ₄ , determining Δu _sp (k) according to the actual value of the rake torque pressure comprises: When _Ypv (k) _-Ysp (k)<- _f4 , and _Ppv (k)< _h3 , _Δusp (k)= _KP15 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI15 ( _Ypv (k) _-Ysp (k)); When _Ypv (k) _-Ysp (k)<- _f4 , and _h3 < _Ppv (k)< _h5 , _Δusp (k)= _KP16 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI16 ( _Ypv (k) _-Ysp (k)); When _Ypv (k) _-Ysp (k)<- _f4 , and _Ppv (k)> _h5 , _Δusp (k)= _KP17 [( _Ypv (k)-Ysp(k))-( _Ypv (k-1) _{-Ysp (} k-1))]+ _KI17 ( _Ypv (k) _-Ysp (k)); Among them, h ₅ , KP _i , and KI _i are empirical values, and i=[15, 17]. 14. The parameter control method for the coal slurry water settling process according to claim 13, characterized in that the method further comprises: According to KP _i and KI _i, the dosing pump frequency setting value is output limited: in, Set the maximum frequency for the dosing pump, /> Set the minimum frequency for the dosing pump, i = [1, 17]. 15. The parameter control method for the coal slurry water sedimentation process according to claim 1, characterized in that the dosing pump is stopped according to the stop signal in the washing production process, comprising: When all the densities of the mixed media are less than the density judgment threshold, or the washing equipment stops, or the transport belt stops, the dosing pump is stopped. 16. A parameter control system for coal slurry water settling process, characterized by comprising: The starting module starts the dosing pump according to the operation signal in the washing production process, and determines the initial frequency setting value of the dosing pump according to the coal type; A data acquisition and processing module collects process data, wherein the process data includes mud layer interface height data and rake machine torque pressure data, and pre-processes the process data to obtain the actual value of the mud layer interface height and the actual value of the rake machine torque pressure; The mud layer interface height adjustment module adjusts the set mud layer interface height according to the actual value of the rake torque pressure under the starting working condition and the normal working condition to obtain the mud layer interface height setting value, wherein the starting working condition is the working condition within a preset time after the operation signal is obtained; the normal working condition is the working condition after the starting working condition ends, when the mud layer interface height value and the rake torque pressure value do not exceed the preset range; The abnormality processing module controls the start and stop of the dosing pump according to the actual value of the mud layer interface height or the actual value of the rake torque pressure under abnormal working conditions, so as to restore the abnormal working conditions to normal working conditions, wherein the abnormal working condition is the working condition where the mud layer interface height value or the rake torque pressure value exceeds the preset range after the starting working condition ends; The dosing pump frequency setting adjustment module adjusts the current set frequency value of the dosing pump according to the mud layer interface height set value, the actual value of the mud layer interface height and the actual value of the rake torque pressure under the starting working condition and the normal working condition. In which, when the dosing pump is just started, the current set frequency value of the dosing pump is the initial frequency setting value of the dosing pump; The stop module stops the dosing pump according to the stop signal in the washing and sorting production process. 17. A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the parameter control method for the coal slurry water settling process according to any one of claims 1 to 15 is implemented. 18. A storage device comprising a storage medium and a processor, wherein the storage medium stores a computer program, wherein the processor implements the parameter control method for the coal slurry water sedimentation process according to any one of claims 1 to 15 when executing the computer program.