CN118499757A - Boiler control method, apparatus, storage medium, electronic device, and program product - Google Patents
Boiler control method, apparatus, storage medium, electronic device, and program product Download PDFInfo
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- 238000003303 reheating Methods 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000013178 mathematical model Methods 0.000 claims description 7
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 6
- 239000003546 flue gas Substances 0.000 claims description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
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- KLDZYURQCUYZBL-UHFFFAOYSA-N 2-[3-[(2-hydroxyphenyl)methylideneamino]propyliminomethyl]phenol Chemical compound OC1=CC=CC=C1C=NCCCN=CC1=CC=CC=C1O KLDZYURQCUYZBL-UHFFFAOYSA-N 0.000 description 1
- 238000012935 Averaging Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F22—STEAM GENERATION
- F22B—METHODS OF STEAM GENERATION; STEAM BOILERS
- F22B35/00—Control systems for steam boilers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F22—STEAM GENERATION
- F22G—SUPERHEATING OF STEAM
- F22G5/00—Controlling superheat temperature
- F22G5/20—Controlling superheat temperature by combined controlling procedures
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Abstract
The disclosure relates to a boiler control method, a device, a storage medium, electronic equipment and a program product, and relates to the field of heat energy engineering control. The method comprises the following steps: acquiring operation parameters of a boiler, and determining initial main steam temperature and initial reheat steam temperature of the boiler according to the operation parameters, wherein the operation parameters comprise temperature, pressure and flow in the boiler; acquiring fuel efficiency and emission parameters of the boiler, optimizing the initial main steam temperature according to the fuel efficiency and the emission parameters to obtain a target main steam temperature, and optimizing the initial reheat steam temperature and the target reheat steam temperature according to the fuel efficiency and the emission parameters; and controlling the boiler according to the target main steam temperature and the target reheat steam temperature.
Description
Technical Field
The present disclosure relates to the field of thermal engineering control, and in particular, to a boiler control method, apparatus, storage medium, electronic device, and program product.
Background
The boiler power generation is one of common power generation modes, and is a process of generating high-temperature and high-pressure steam by combusting fuel in a boiler, driving a steam turbine to rotate and further driving a generator to generate power. In the power generation process of the boiler, fuel is combusted in a combustion chamber of the boiler to generate high-temperature and high-pressure combustion gas, the combustion gas transfers heat and water through a heating area in the boiler to generate high-temperature and high-pressure steam, the high-temperature and high-pressure steam drives a steam turbine to rotate, and electric energy is output through a generator connected with a shaft. The boiler power generation has the characteristics of high efficiency, stability and reliability, and is widely applied to the power industry.
In the prior art, a reasonable energy-saving effect cannot be achieved in the control process of the main steam temperature and the reheat steam temperature of the boiler, so that the combustion efficiency of the boiler is low and unstable.
Disclosure of Invention
The purpose of the present disclosure is to provide a boiler control method, a device, a storage medium, an electronic device and a program product, which can control a boiler to achieve a reasonable energy-saving effect in the power generation process.
To achieve the above object, in a first aspect, the present disclosure provides a boiler control method, the method comprising:
Acquiring operation parameters of a boiler, and determining initial main steam temperature and initial reheat steam temperature of the boiler according to the operation parameters, wherein the operation parameters comprise temperature, pressure and flow in the boiler;
acquiring fuel efficiency and emission parameters of the boiler, optimizing the initial main steam temperature according to the fuel efficiency and the emission parameters to obtain a target main steam temperature, and optimizing the initial reheat steam temperature and the target reheat steam temperature according to the fuel efficiency and the emission parameters;
And controlling the boiler according to the target main steam temperature and the target reheat steam temperature.
In a second aspect, the present disclosure provides a boiler control apparatus, the apparatus comprising:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring the operation parameters of a boiler and determining the initial main steam temperature and the initial reheat steam temperature of the boiler according to the operation parameters, and the operation parameters comprise the temperature, the pressure and the flow in the boiler;
The optimizing module is used for acquiring the fuel efficiency and the emission parameter of the boiler, optimizing the initial main steam temperature according to the fuel efficiency and the emission parameter to obtain a target main steam temperature, optimizing the initial reheat steam temperature according to the fuel efficiency and the emission parameter, and optimizing the target reheat steam temperature;
and the control module is used for controlling the boiler according to the target main steam temperature and the target reheat steam temperature.
In a third aspect, the present disclosure provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the boiler control method of the first aspect.
In a fourth aspect, the present disclosure provides an electronic device comprising:
a memory having a computer program stored thereon;
A processor for executing the computer program in the memory to implement the boiler control method according to the first aspect.
In a fifth aspect, the present disclosure provides a computer program product comprising a computer program which, when executed by a processor, implements the boiler control method of the first aspect.
According to the technical scheme, the main steam temperature is optimized through the fuel efficiency and the emission parameters to obtain the target main steam temperature, and the reheat steam temperature is optimized through the fuel efficiency and the emission parameters to obtain the target reheat steam temperature, so that the stability of the boiler in the combustion process is improved on the basis of ensuring the combustion efficiency of the boiler in the process of controlling the boiler according to the optimized main steam temperature and reheat steam temperature, and a reasonable energy-saving effect is achieved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
fig. 1 is a flowchart illustrating a boiler control method according to an exemplary embodiment of the present disclosure.
Fig. 2 is another flowchart illustrating a boiler control method according to an exemplary embodiment of the present disclosure.
Fig. 3 is a block diagram of a boiler control apparatus according to an exemplary embodiment of the present disclosure.
Fig. 4 is another block diagram of a boiler control apparatus according to an exemplary embodiment of the present disclosure.
Fig. 5 is a block diagram of an electronic device, shown in accordance with an exemplary embodiment of the present disclosure.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be noted that, all actions for acquiring signals, information or data in the present disclosure are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
As to the background art, in the prior art, a reasonable energy-saving effect cannot be achieved in the control process of the main steam temperature and the reheat steam temperature of the boiler, so that the combustion efficiency of the boiler is low and unstable. The function of predicting the failure of the boiler is arranged, and potential failure or abnormal conditions of the boiler cannot be found in advance, so that the workload of maintenance personnel is increased, the failure risk of the boiler is increased, and meanwhile, the production efficiency of the boiler is reduced.
In view of the above, the present disclosure provides a method, an apparatus, a storage medium, an electronic device, and a program product for controlling a boiler, which can control a boiler to achieve a reasonable energy-saving effect in a power generation process.
FIG. 1 is a method of controlling a boiler according to an exemplary embodiment of the present disclosure, as shown in FIG. 1, the method may include the steps of:
in step S101, operating parameters of the boiler are obtained, and an initial main steam temperature and an initial reheat steam temperature of the boiler are determined according to the operating parameters, which may include temperature, pressure and flow rate in the boiler.
It is worth noting that the operating parameters of the boiler can be obtained by means of sensors. For example, the temperature in the boiler is obtained by a temperature sensor provided in the boiler; acquiring the pressure in the boiler by a pressure sensor arranged in the boiler; the flow in the boiler is taken up by the flow creation provided in the boiler. The various sensors can be arranged at proper positions in the boiler, the detected parameters can be accurately measured, and the installation positions of the various sensors are not limited in the embodiment of the disclosure.
It should be appreciated that the initial main steam temperature and the initial reheat steam temperature may be optimal values determined based on operating parameters.
In step S102, the fuel efficiency and the emission parameter of the boiler are obtained, and the initial main steam temperature is optimized according to the fuel efficiency and the emission parameter to obtain a target main steam temperature, and the initial reheat steam temperature is optimized according to the fuel efficiency and the emission parameter to obtain a target reheat steam temperature.
In step S103, the boiler is controlled according to the target main steam temperature and the target reheat steam temperature.
Illustratively, the fuel supply amount and the air quantity of the burner in the boiler are controlled according to the target main steam temperature and the target reheat steam temperature, and the opening degree of the reheater control valve and the opening degree of the main steam temperature control valve are controlled to realize the control of the boiler.
In the embodiment of the disclosure, the initial main steam temperature and the initial reheat steam temperature of the boiler are determined according to the operation parameters of the boiler, and then the initial main steam temperature and the initial reheat steam temperature are optimized according to the fuel efficiency and the emission parameters, so that the combustion efficiency of the boiler and the stability of the combustion process are improved, the optimal control of the main steam temperature and the reheat steam temperature of the boiler is realized, the whole process automatically receives data and performs calculation optimization, the manual intervention is avoided, and the operation efficiency of the boiler control and the reliability of the control result are improved.
In order to facilitate a better understanding of the boiler control method provided by the present disclosure by those skilled in the art, the steps of the method are exemplified below.
In one possible embodiment, the operating parameters determining an initial main steam temperature and an initial reheat steam temperature of the boiler may include:
Determining the relevance among the temperature, the pressure and the flow, and the distribution characteristics and the change trend of each of the temperature, the pressure and the flow;
and determining the initial main steam temperature and the initial reheat steam temperature of the boiler according to the relevance, the distribution characteristics and the change trend.
It is worth to say that, before determining the initial main steam temperature and the reheating steam temperature according to the temperature, the pressure and the flow, the data smoothing and the abnormal value removing pretreatment are needed to be carried out on the temperature, the pressure and the flow respectively, so that the influence of noise and errors on the subsequent initial main steam temperature and the initial reheating steam temperature is reduced, and the reliability of the control result is improved.
It is worth noting that the correlation among the temperature, the pressure and the flow rate, the distribution characteristics and the change trend of each of the temperature, the pressure and the flow rate can be determined through a data analysis technology, so that the initial main steam temperature and the initial reheat steam temperature can be determined conveniently.
In a possible embodiment, determining the initial main steam temperature and the initial reheat steam temperature of the boiler according to the correlation, the distribution characteristics and the variation trend may include:
according to the relevance, the distribution characteristics and the change trend, determining a first interval corresponding to the main steam temperature of the boiler and a second interval corresponding to the reheat steam temperature of the boiler;
substituting a first interval value in a first interval into an objective function to obtain a main steam temperature to be selected, and substituting a second interval value in a second interval into the objective function to obtain a reheat steam temperature to be selected;
Taking the main steam temperature to be selected and a first integer constraint condition corresponding to the first interval as inputs, and solving through an integer programming algorithm to obtain an initial main steam temperature;
Taking a second integer constraint condition corresponding to the reheating steam temperature to be selected and a second interval as input, and solving through an integer programming algorithm to obtain an initial reheating steam temperature;
Wherein, the objective function is: z=c 1·x1+c2·x2+…+cn·xn, Z represents the candidate value, c 1~cn represents the weight coefficient, x 1~xn represents the interval value.
It is worth to say that the discrete selection of the first interval value in the first interval is realized through the first integer constraint condition, and the discrete selection of the second interval value in the second interval is realized through the second integer constraint condition; the first integer constraint may be determined from a first interval and the second integer constraint may be determined from a second interval.
Illustratively, the first integer constraint may be:
x1∈{a1、a2、…、ai}；
x2∈{b1、b2、…、bi}；
…
xm∈{z1、z2、…、zi}；
Wherein a i、bi、…、zi is a value discretely selected in a first interval corresponding to the main steam temperature.
The second integer constraint may be:
y1∈{A1、A2、…、Ai}；
y2∈{B1、B2、…、Bi}；
…
ym∈{Z1、Z2、…、Zi}；
wherein, A i、Bi、…、Zi is the discrete selected value in the second section corresponding to the reheat steam temperature.
It is worth to say that the first interval is the value interval corresponding to the main steam temperature of the boiler, and the second interval is the value interval corresponding to the reheat steam temperature of the boiler. Aiming at the main steam temperature, taking an interval value in a first interval corresponding to the main steam temperature and a first integer constraint condition corresponding to the first interval as inputs, and solving through an integer programming algorithm to obtain an initial main steam temperature; and aiming at the reheat steam temperature, taking a section value in a second section corresponding to the reheat steam temperature and a second integer constraint condition corresponding to the second section as inputs, and solving through an integer programming algorithm to obtain the initial reheat steam temperature.
In the embodiment of the disclosure, the objective function is solved through the integer programming algorithm, so that more accurate, practical and interpretable initial main steam temperature and initial reheat steam temperature can be provided, the limitation of a calculation result is avoided, and better support is provided for a subsequent control process.
In a possible embodiment, optimizing the initial main steam temperature and the initial reheat steam temperature to obtain the target main steam temperature and the target reheat steam temperature according to the fuel efficiency and the emission parameter may include:
And inputting the fuel efficiency and the emission parameters into an optimization model to obtain a target main steam temperature and a target reheat steam temperature which are output by the optimization model, wherein the optimization model comprises a mathematical model for representing the relation among the main steam temperature, the reheat steam temperature, the fuel efficiency and the emission parameters.
It is worth noting that the optimization model is verified by historical combustion efficiency and historical emission data. After a mathematical model for representing the relation among the main steam temperature, the reheat steam temperature, the fuel efficiency and the emission data is built, the accuracy and the applicability of the mathematical model are verified through verification data comprising the historical combustion efficiency and the historical emission data, and the mathematical model with the accuracy and the applicability verified is subjected to optimization calculation through an optimization algorithm, so that an optimization model is obtained. The verification process and the optimization algorithm are both in the prior art, and the disclosure is not limited to this.
It should be appreciated that after optimizing the initial main and reheat temperatures based on fuel efficiency and emissions parameters, sensor data may be continuously received, boiler operating conditions continuously monitored, and adjustments and modifications correspondingly, repeated multiple times, to continuously increase the control effects of the main and reheat temperatures of the boiler.
According to the embodiment of the disclosure, the running state of the boiler is continuously monitored, and the running state is adjusted and improved in real time according to the running parameters acquired by the sensors, so that the control effect of the main steam temperature and the reheat steam temperature of the boiler is continuously improved, and meanwhile, the main steam temperature and the reheat steam temperature of the boiler are optimized, so that unstable phenomena such as overheating or supercooling are reduced, and the running stability of the system is maintained.
In a possible embodiment, the method may further include:
Determining input heat information and output heat information of the boiler, and carrying out heat balance analysis on the boiler according to the input heat information, the output heat information and the temperature to obtain target load and target heat load of the boiler;
According to the target load, controlling the heat exchanger of the boiler to recycle the heat energy in the high-temperature flue gas or hot water discharged by the heat exchanger, and adjusting the heat transfer area of the boiler, and the flow and the temperature of the heat transfer medium of the boiler according to the target heat load.
It should be understood that fuels can be generally classified into solid fuels, which require a certain gas flow and a long combustion time during combustion, liquid fuels, which are generally supplied by pumping systems, and gaseous fuels, which are generally supplied by pipes. Therefore, according to the target load and the fuel property, the heat exchanger of the boiler is controlled to recycle heat energy, so that the fuel supply is optimized. The heat transfer area of the boiler, and the flow rate and temperature of the heat transfer medium are adjusted according to the target heat load, thereby optimizing the distribution of the heat load.
It is worth noting that the method also comprises the step of carrying out heat loss analysis on the boiler before optimizing the distribution of the heat load, and specifically comprises the step of carrying out heat loss of exhaust smoke in flue gas and the step of carrying out heat loss of a boiler shell. The heat transfer area of the boiler and the flow and temperature (i.e., combustion parameters) of the heat transfer medium of the boiler are adjusted according to the target heat load in combination with the heat loss of the exhaust gas, the heat loss of the shell and the fuel property, so that the distribution of the heat load is optimized to improve the combustion efficiency and the heat energy utilization efficiency.
It should be noted that the heat transfer efficiency of the boiler can be improved by cleaning the heat transfer surface and periodic maintenance, so that the waste of energy sources can be reduced. In addition, timely maintenance and adjustment can avoid faults and damages, thereby reducing maintenance and replacement costs.
In the embodiment of the disclosure, the heat balance analysis is performed on the boiler, so that the fuel supply and the heat load distribution are optimized, the energy utilization efficiency is improved to the greatest extent, the energy consumption is reduced, and the energy-saving control of the boiler is realized. Specifically, by precisely controlling fuel supply and heat load distribution, the boiler can meet the requirements and avoid excessive heat supply and energy waste, so that the energy consumption and related cost are reduced, and meanwhile, the energy consumption and the greenhouse gas emission are reduced, and the negative influence on the environment can be reduced. And continuously monitoring the running state of the boiler and evaluating the performance, and simultaneously adjusting the target load and the target thermal load, thereby realizing continuous optimization and improvement of boiler control.
In a possible embodiment, the method may further include:
Respectively extracting the characteristics of the temperature, the pressure and the flow to obtain characteristic parameters respectively corresponding to the temperature, the pressure and the flow, wherein the characteristic parameters comprise at least one of an average value, a variance, a maximum value and a minimum value;
And inputting the characteristic parameters corresponding to the temperature, the pressure and the flow into a fault prediction model to obtain fault prediction information output by the fault prediction model, wherein the fault prediction model is used for carrying out fault prediction on the running state of the boiler according to the characteristic parameters of the temperature, the pressure and the flow of the boiler and outputting the fault prediction information.
The fault prediction information may include a boiler fault diagnosis result and a corresponding repair suggestion, among others.
It should be noted that, before the feature extraction is performed on the temperature, pressure and flow, pretreatment is performed, for example, data smoothing and outlier removal are performed, so as to reduce the influence of noise and error on the subsequent initial main steam temperature and initial reheat steam temperature, thereby improving the reliability of the control result. The more the number of feature parameters of the feature extraction, the higher the accuracy of the obtained failure preset information.
According to the method and the device, the operation parameters of the boiler are monitored and analyzed in real time, the failure prediction is automatically carried out, and the failure prediction information is output, so that a worker can respond timely, the boiler parts with the failure can be replaced timely, and the operation time of the boiler can be adjusted timely.
In a possible embodiment, the fault prediction model may be used to output fault prediction information by:
The probability of the average value, the variance, the maximum value and the minimum value corresponding to each characteristic parameter is respectively determined through a probability density function;
Multiplying a plurality of probabilities corresponding to the same characteristic parameter or taking the average value of the probabilities to obtain the fault probability of the corresponding characteristic parameter aiming at each characteristic parameter;
And respectively comparing the fault probability corresponding to each characteristic parameter with a corresponding preset threshold value, determining the boiler fault when the fault probability corresponding to any characteristic parameter is larger than the corresponding preset threshold value, and outputting fault prediction information.
It should be appreciated that the boiler is determined to be normal when the probability of failure corresponding to each of the characteristic parameters is less than or equal to its corresponding preset threshold. The fault probability of each characteristic parameter can be converted into a binary fault prediction result, and the fault prediction result is compared with a corresponding preset threshold value, so that the comparison time is shortened, and the fault prediction efficiency is improved.
It is worth to say that, establishing a corresponding probability distribution model for each characteristic parameter, calculating the probability corresponding to the characteristic of the average value, variance, maximum value and minimum value of the characteristic parameter through a probability density function, and multiplying or averaging the characteristic probabilities to obtain the fault probability corresponding to the characteristic parameter.
It should be noted that, the failure prediction model may be verified by a verification set formed by each historical characteristic parameter, so as to evaluate the prediction performance and accuracy of the failure prediction model, and when the prediction performance and accuracy meet the corresponding preset conditions, the data collected in real time is predicted and diagnosed by the trained failure prediction model.
According to the method and the device for predicting the possible faults of the boiler, the operation parameters of the boiler are monitored and analyzed, so that more accurate fault prediction results can be provided, the possible faults of the boiler can be predicted in advance, the influence caused by the faults can be reduced, the sudden and unexpected occurrence of the faults can be avoided, meanwhile, the fault prediction information can be timely reinforced and transmitted to staff, and the reliability and maintenance efficiency of equipment are improved.
In a possible embodiment, the method may further include:
And generating a line graph or a curve graph according to the change trend of the target main steam temperature, the change trend of the target reheat steam temperature and the control effect of the boiler, and performing visual display.
It is worth to say that the change trend of the target main steam temperature, the change trend of the target reheat steam temperature and the time series change of the control effect of the boiler can be displayed in the form of icons.
It should be understood that all data in the boiler operation process can be stored through the database, including operation parameters acquired by the sensor, parameters in the boiler control process, parameters in the optimization process, parameters in the energy-saving optimization process and parameters in the fault prediction process, so that the operation parameters can be conveniently queried and later retrieved by staff at any time.
In the embodiment of the disclosure, the change trend of the target main steam temperature, the change trend of the target reheat steam temperature and the control effect of the boiler are visually displayed, and through a visual interface, a worker can monitor the states of the main steam temperature and the reheat steam temperature in real time, so that abnormal conditions can be found in time, measures can be actively taken, the occurrence of faults or the expansion of accidents can be prevented, and the safe and stable operation of the boiler can be ensured. And the change trend of the main steam temperature and the reheat steam temperature and the control effect of the boiler are displayed in the forms of a chart, a curve, a broken line and the like, so that the data in the operation process of the boiler are more visual and understandable, the operation parameters of the boiler are convenient to adjust by a worker, all the data are stored in a database, and the later data retrieval of the worker is convenient.
The complete process of the boiler control method provided by the present disclosure can be seen in fig. 2, as shown in fig. 2:
In step S201, operation parameters of the boiler are acquired, and an initial main steam temperature and an initial reheat steam temperature of the boiler are determined according to the operation parameters, wherein the operation parameters include temperature, pressure and flow in the boiler.
In step S202, the fuel efficiency and the emission parameter of the boiler are obtained, and the initial main steam temperature is optimized according to the fuel efficiency and the emission parameter to obtain a target main steam temperature, and the initial reheat steam temperature is optimized according to the fuel efficiency and the emission parameter to obtain a target reheat steam temperature.
In step S203, the boiler is controlled according to the target main steam temperature and the target reheat steam temperature.
In step S204, the input heat information and the output heat information of the boiler are determined, and the boiler is subjected to heat balance analysis according to the input heat information, the output heat information and the temperature, so as to obtain a target load and a target heat load of the boiler.
In step S205, the heat exchanger of the boiler is controlled to recycle the heat energy in the high-temperature flue gas or hot water discharged in alignment according to the target load, and the heat transfer area of the boiler, and the flow rate and the temperature of the heat transfer medium of the boiler are adjusted according to the target heat load.
In step S206, feature extraction is performed on the temperature, the pressure and the flow, so as to obtain feature parameters corresponding to the temperature, the pressure and the flow, respectively, wherein the feature parameters include at least one of an average value, a variance, a maximum value and a minimum value.
In step S207, the characteristic parameters corresponding to the temperature, the pressure and the flow are input into a fault prediction model, so as to obtain the fault prediction information output by the fault prediction model, where the fault prediction model is used for performing fault prediction on the operation state of the boiler according to the characteristic parameters of the temperature, the pressure and the flow of the boiler, and outputting the fault prediction information.
In step S208, a line graph or a graph is generated and visually displayed according to the change trend of the target main steam temperature, the change trend of the target reheat steam temperature, and the control effect of the boiler.
According to the boiler control method in the embodiment of the disclosure, the initial main steam temperature and the initial reheat steam temperature are determined according to the temperature, the pressure and the flow of the boiler, the operation state of the boiler is monitored in real time, the initial main steam temperature is optimized according to the fuel efficiency and the emission parameter to obtain the target main steam temperature, the initial reheat steam temperature is optimized according to the fuel efficiency and the emission parameter to obtain the target reheat steam temperature, the boiler is controlled according to the target main steam temperature and the target reheat steam temperature, and the fuel supply is optimized at the same time, so that the energy consumption of the boiler is reduced, the energy saving effect is achieved, and the operation state of the boiler is subjected to fault prediction through the temperature, the pressure and the flow, so that operators can find the abnormal state of the boiler in time and process the abnormal state of the boiler, the influence caused by faults can be reduced, the sudden occurrence and unexpected occurrence of the faults can be avoided, the operation state of the boiler can be visualized and displayed, and the operators can conveniently retrieve relevant data in the later period.
Based on the same inventive concept, the present disclosure also provides a boiler control device, as shown in fig. 3, including an acquisition module 301, an optimization module 302, and a control module 303.
The acquiring module 301 is configured to acquire an operation parameter of a boiler, and determine an initial main steam temperature and an initial reheat steam temperature of the boiler according to the operation parameter, where the operation parameter includes a temperature, a pressure, and a flow in the boiler.
The optimizing module 302 is configured to obtain a fuel efficiency and an emission parameter of the boiler, optimize an initial main steam temperature according to the fuel efficiency and the emission parameter, obtain a target main steam temperature, and optimize an initial reheat steam temperature and a target reheat steam temperature according to the fuel efficiency and the emission parameter.
The control module 303 is configured to control the boiler according to the target main steam temperature and the target reheat steam temperature.
In the embodiment of the disclosure, the initial main steam temperature and the initial reheat steam temperature of the boiler are determined according to the operation parameters of the boiler, and then the initial main steam temperature and the initial reheat steam temperature are optimized according to the fuel efficiency and the emission parameters, so that the combustion efficiency of the boiler and the stability of the combustion process are improved, the optimal control of the main steam temperature and the reheat steam temperature of the boiler is realized, the whole process automatically receives data and performs calculation optimization, the manual intervention is avoided, and the operation efficiency of the boiler control and the reliability of the control result are improved.
In a possible embodiment, the obtaining module 301 is configured to determine a correlation among the temperature, the pressure, and the flow rate, and a distribution characteristic and a trend of variation of each of the temperature, the pressure, and the flow rate;
and determining the initial main steam temperature and the initial reheat steam temperature of the boiler according to the relevance, the distribution characteristics and the change trend.
In a possible implementation manner, the acquisition module is used for determining a first section corresponding to the main steam temperature of the boiler and a second section corresponding to the reheat steam temperature of the boiler according to the relevance, the distribution characteristics and the change trend;
substituting a first interval value in a first interval into an objective function to obtain a main steam temperature to be selected, and substituting a second interval value in a second interval into the objective function to obtain a reheat steam temperature to be selected;
Taking a first integer constraint condition corresponding to the main steam temperature to be selected and the first interval as input, and solving through an integer programming algorithm to obtain an initial main steam temperature;
Taking a second integer constraint condition corresponding to the reheating steam temperature to be selected and a second interval as input, and solving through an integer programming algorithm to obtain an initial reheating steam temperature;
Wherein, the objective function is: z=c 1·x1+c2·x2+…+cn·xn, Z represents the candidate value, c 1~cn represents the weight coefficient, x 1~xn represents the interval value.
In a possible embodiment, the optimization module 302 is configured to input the fuel efficiency and the emission parameter into an optimization model, and obtain a target main steam temperature and a target reheat steam temperature output by the optimization model, where the optimization model includes a mathematical model for characterizing a relationship between the main steam temperature, the reheat steam temperature, the fuel efficiency and the emission parameter.
In a possible embodiment, as shown in fig. 4, the boiler control device further includes an energy saving module 304, where the energy saving module 304 is configured to determine input heat information and output heat information of the boiler, and perform a heat balance analysis on the boiler according to the input heat information, the output heat information, and the temperature, to obtain a target load and a target heat load of the boiler;
According to the target load, controlling the heat exchanger of the boiler to recycle the heat energy in the high-temperature flue gas or hot water discharged by the heat exchanger, and adjusting the heat transfer area of the boiler, and the flow and the temperature of the heat transfer medium of the boiler according to the target heat load.
In a possible implementation manner, as shown in fig. 4, the boiler control device further includes an early warning module 305, where the early warning module 305 is configured to perform feature extraction on the temperature, the pressure and the flow respectively, so as to obtain feature parameters corresponding to the temperature, the pressure and the flow respectively, where the feature parameters include at least one of an average value, a variance, a maximum value and a minimum value;
And inputting the characteristic parameters corresponding to the temperature, the pressure and the flow into a fault prediction model to obtain fault prediction information output by the fault prediction model, wherein the fault prediction model is used for carrying out fault prediction on the running state of the boiler according to the characteristic parameters of the temperature, the pressure and the flow of the boiler and outputting the fault prediction information.
In a possible embodiment, the fault prediction model is used to output the fault prediction information by:
The probability of the average value, the variance, the maximum value and the minimum value corresponding to each characteristic parameter is respectively determined through a probability density function;
Multiplying a plurality of probabilities corresponding to the same characteristic parameter or taking the average value of the probabilities to obtain the fault probability of the corresponding characteristic parameter aiming at each characteristic parameter;
And respectively comparing the fault probability corresponding to each characteristic parameter with a corresponding preset threshold value, determining the boiler fault when the fault probability corresponding to any characteristic parameter is larger than the corresponding preset threshold value, and outputting fault prediction information.
In a possible embodiment, as shown in fig. 4, the boiler control device further includes a visualization module 306, where the visualization module 306 is configured to generate a line graph or a graph and perform a visual display according to the change trend of the target main steam temperature, the change trend of the target reheat steam temperature, and the control effect of the boiler.
With respect to the boiler control apparatus in the above-described embodiment, the specific manner in which the respective modules perform operations has been described in detail in the embodiment regarding the method, and will not be explained in detail here.
Based on the same inventive concept, the present disclosure also provides an electronic device, including:
a memory having a computer program stored thereon;
and the processor is used for executing the computer program in the memory to realize the boiler control method.
In the embodiment of the disclosure, the initial main steam temperature and the initial reheat steam temperature of the boiler are determined according to the operation parameters of the boiler, and then the initial main steam temperature and the initial reheat steam temperature are optimized according to the fuel efficiency and the emission parameters, so that the combustion efficiency of the boiler and the stability of the combustion process are improved, the optimal control of the main steam temperature and the reheat steam temperature of the boiler is realized, the whole process automatically receives data and performs calculation optimization, the manual intervention is avoided, and the operation efficiency of the boiler control and the reliability of the control result are improved.
Fig. 5 is a block diagram of an electronic device 500, according to an example embodiment. As shown in fig. 5, the electronic device 500 may include: a processor 501, a memory 502. The electronic device 500 may also include one or more of a multimedia component 503, an input/output (I/O) interface 504, and a communication component 505.
Wherein the processor 501 is configured to control the overall operation of the electronic device 500 to perform all or part of the steps of the boiler control method described above. The memory 502 is used to store various types of data to support operation at the electronic device 500, which may include, for example, instructions for any application or method operating on the electronic device 500, as well as application-related data, such as contact data, messages sent and received, pictures, audio, video, and so forth. The Memory 502 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 503 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 502 or transmitted through the communication component 505. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 504 provides an interface between the processor 501 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 505 is used for wired or wireless communication between the electronic device 500 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC) for short, 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding communication component 505 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic device 500 may be implemented by one or more Application-specific integrated circuits (ASIC), digital signal processors (DIGITAL SIGNAL Processor DSP), digital signal processing device (DIGITAL SIGNAL Processing Device DSPD), programmable logic device (Programmable Logic Device PLD), field programmable gate array (Field Programmable GATE ARRAY FPGA), controller, microcontroller, microprocessor, or other electronic components for performing the above-described boiler control method.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the boiler control method described above. For example, the computer readable storage medium may be the memory 502 described above including program instructions executable by the processor 501 of the electronic device 500 to perform the boiler control method described above.
In another exemplary embodiment, a computer program product is also provided, which computer program product comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-mentioned boiler control method when being executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the embodiments described above, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. The various possible combinations are not described further in this disclosure in order to avoid unnecessary repetition.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.
Claims (19)
1. A method of controlling a boiler, the method comprising:
Acquiring operation parameters of a boiler, and determining initial main steam temperature and initial reheat steam temperature of the boiler according to the operation parameters, wherein the operation parameters comprise temperature, pressure and flow in the boiler;
acquiring fuel efficiency and emission parameters of the boiler, optimizing the initial main steam temperature according to the fuel efficiency and the emission parameters to obtain a target main steam temperature, and optimizing the initial reheat steam temperature and the target reheat steam temperature according to the fuel efficiency and the emission parameters;
And controlling the boiler according to the target main steam temperature and the target reheat steam temperature.
2. The boiler control method according to claim 1, wherein determining an initial main steam temperature and an initial reheat steam temperature of the boiler based on the operating parameters comprises:
Determining a correlation between the temperature, the pressure, and the flow rate, and a distribution characteristic and a trend of change for each of the temperature, the pressure, and the flow rate;
and determining the initial main steam temperature and the initial reheat steam temperature of the boiler according to the relevance, the distribution characteristics and the change trend.
3. The boiler control method according to claim 2, wherein determining the initial main steam temperature and the initial reheat steam temperature of the boiler based on the correlation, the distribution characteristics, and the trend of variation, comprises:
determining a first interval corresponding to the main steam temperature of the boiler and a second interval corresponding to the reheat steam temperature of the boiler according to the relevance, the distribution characteristics and the change trend;
Substituting a first interval value in the first interval into an objective function to obtain a main steam temperature to be selected, and substituting a second interval value in the second interval into the objective function to obtain a reheat steam temperature to be selected;
Taking the main steam temperature to be selected and a first integer constraint condition corresponding to the first interval as input, and solving through an integer programming algorithm to obtain an initial main steam temperature;
Taking the reheating steam temperature to be selected and a second integer constraint condition corresponding to the second interval as inputs, and solving through the integer programming algorithm to obtain an initial reheating steam temperature;
wherein the objective function is: z=c 1·x1+c2·x2+…+cn·xn, Z represents the candidate value, c 1~cn represents the weight coefficient, x 1~xn represents the interval value.
4. The boiler control method according to claim 1, wherein optimizing the initial main steam temperature and the initial reheat steam temperature according to the fuel efficiency and the emission parameter results in a target main steam temperature and a target reheat steam temperature, comprising:
And inputting the fuel efficiency and the emission parameters into an optimization model to obtain a target main steam temperature and a target reheat steam temperature which are output by the optimization model, wherein the optimization model comprises a mathematical model for representing the relation among the main steam temperature, the reheat steam temperature, the fuel efficiency and the emission parameters.
5. The boiler control method according to any one of claims 1-4, wherein the method further comprises:
Determining input heat information and output heat information of the boiler, and performing heat balance analysis on the boiler according to the input heat information, the output heat information and the temperature to obtain target load and target heat load of the boiler;
and controlling the heat exchanger of the boiler to recycle heat energy in high-temperature flue gas or hot water discharged by the heat exchanger according to the target load, and adjusting the heat transfer area of the boiler and the flow and the temperature of a heat transfer medium of the boiler according to the target heat load.
6. The boiler control method according to any one of claims 1-4, wherein the method further comprises:
Respectively extracting the characteristics of the temperature, the pressure and the flow to obtain characteristic parameters respectively corresponding to the temperature, the pressure and the flow, wherein the characteristic parameters comprise at least one of an average value, a variance, a maximum value and a minimum value;
and inputting the characteristic parameters corresponding to the temperature, the pressure and the flow into a fault prediction model to obtain fault prediction information output by the fault prediction model, wherein the fault prediction model is used for carrying out fault prediction on the running state of the boiler according to the characteristic parameters of the temperature, the pressure and the flow of the boiler and outputting the fault prediction information.
7. The boiler control method according to claim 6, wherein the failure prediction model is configured to output failure prediction information by:
respectively determining the probability of the average value, the variance, the maximum value and the minimum value corresponding to each characteristic parameter through a probability density function;
multiplying a plurality of probabilities corresponding to the same characteristic parameter or taking the average value of the probabilities to obtain the fault probability corresponding to the characteristic parameter aiming at each characteristic parameter;
And comparing the fault probability corresponding to each characteristic parameter with a corresponding preset threshold value, and determining the boiler fault and outputting fault prediction information when the fault probability corresponding to any characteristic parameter is larger than the corresponding preset threshold value.
8. The boiler control method according to any one of claims 1-4, wherein the method further comprises:
And generating a line graph or a curve graph according to the change trend of the target main steam temperature, the change trend of the target reheat steam temperature and the control effect of the boiler, and performing visual display.
9. A boiler control apparatus, the apparatus comprising:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring the operation parameters of a boiler and determining the initial main steam temperature and the initial reheat steam temperature of the boiler according to the operation parameters, and the operation parameters comprise the temperature, the pressure and the flow in the boiler;
The optimizing module is used for acquiring the fuel efficiency and the emission parameter of the boiler, optimizing the initial main steam temperature according to the fuel efficiency and the emission parameter to obtain a target main steam temperature, optimizing the initial reheat steam temperature according to the fuel efficiency and the emission parameter, and optimizing the target reheat steam temperature;
and the control module is used for controlling the boiler according to the target main steam temperature and the target reheat steam temperature.
10. The boiler control device according to claim 9, wherein the acquisition module is configured to determine a correlation among the temperature, the pressure, and the flow rate, and a distribution characteristic and a trend of change of each of the temperature, the pressure, and the flow rate;
and determining the initial main steam temperature and the initial reheat steam temperature of the boiler according to the relevance, the distribution characteristics and the change trend.
11. The boiler control device according to claim 10, wherein the acquisition module is configured to determine a first interval corresponding to a main boiler steam temperature and a second interval corresponding to a reheat boiler steam temperature according to the correlation, the distribution characteristics, and the trend of variation;
Substituting a first interval value in the first interval into an objective function to obtain a main steam temperature to be selected, and substituting a second interval value in the second interval into the objective function to obtain a reheat steam temperature to be selected;
Taking the main steam temperature to be selected and a first integer constraint condition corresponding to the first interval as input, and solving through an integer programming algorithm to obtain an initial main steam temperature;
Taking the reheating steam temperature to be selected and a second integer constraint condition corresponding to the second interval as inputs, and solving through the integer programming algorithm to obtain an initial reheating steam temperature;
wherein the objective function is: z=c 1·x1+c2·x2+…+cn·xn, Z represents the candidate value, c 1~cn represents the weight coefficient, x 1~xn represents the interval value.
12. The boiler control device according to claim 9, wherein an optimization module is configured to input the fuel efficiency and the emission parameter into an optimization model, to obtain a target main steam temperature and a target reheat steam temperature output by the optimization model, and the optimization model includes a mathematical model for characterizing a relationship between main steam temperature, reheat steam temperature, fuel efficiency, and emission parameter.
13. The boiler control device according to any one of claims 9-12, further comprising an energy saving module for determining input heat information and output heat information of the boiler, and performing a heat balance analysis on the boiler according to the input heat information, the output heat information and the temperature to obtain a target load and a target heat load of the boiler;
and controlling the heat exchanger of the boiler to recycle heat energy in high-temperature flue gas or hot water discharged by the heat exchanger according to the target load, and adjusting the heat transfer area of the boiler and the flow and the temperature of a heat transfer medium of the boiler according to the target heat load.
14. The boiler control device according to any one of claims 9-12, further comprising an early warning module for performing feature extraction on the temperature, the pressure and the flow rate, respectively, to obtain feature parameters corresponding to the temperature, the pressure and the flow rate, respectively, the feature parameters including at least one of a mean value, a variance, a maximum value and a minimum value;
and inputting the characteristic parameters corresponding to the temperature, the pressure and the flow into a fault prediction model to obtain fault prediction information output by the fault prediction model, wherein the fault prediction model is used for carrying out fault prediction on the running state of the boiler according to the characteristic parameters of the temperature, the pressure and the flow of the boiler and outputting the fault prediction information.
15. The boiler control device according to claim 14, wherein the failure prediction model is configured to output failure prediction information by:
respectively determining the probability of the average value, the variance, the maximum value and the minimum value corresponding to each characteristic parameter through a probability density function;
multiplying a plurality of probabilities corresponding to the same characteristic parameter or taking the average value of the probabilities to obtain the fault probability corresponding to the characteristic parameter aiming at each characteristic parameter;
And comparing the fault probability corresponding to each characteristic parameter with a corresponding preset threshold value, and determining the boiler fault and outputting fault prediction information when the fault probability corresponding to any characteristic parameter is larger than the corresponding preset threshold value.
16. The boiler control device according to any one of claims 9-12, further comprising a visualization module for generating a line graph or a graph and visually displaying according to the trend of the target main steam temperature, the trend of the target reheat steam temperature, and the control effect of the boiler.
17. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the method of any of claims 1-8.
18. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the method of any of claims 1-8.
19. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method of any of claims 1-8.
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