CN119049251A - Ship lock structure safety dynamic monitoring model and intelligent early warning method and system - Google Patents
Ship lock structure safety dynamic monitoring model and intelligent early warning method and system Download PDFInfo
- Publication number
- CN119049251A CN119049251A CN202411070942.7A CN202411070942A CN119049251A CN 119049251 A CN119049251 A CN 119049251A CN 202411070942 A CN202411070942 A CN 202411070942A CN 119049251 A CN119049251 A CN 119049251A
- Authority
- CN
- China
- Prior art keywords
- ship lock
- lock structure
- safety
- monitoring
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 116
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000004364 calculation method Methods 0.000 claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims abstract description 25
- 230000008569 process Effects 0.000 claims abstract description 12
- 238000006073 displacement reaction Methods 0.000 claims description 65
- 239000002689 soil Substances 0.000 claims description 23
- 239000000463 material Substances 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 14
- 230000008859 change Effects 0.000 claims description 14
- 238000013178 mathematical model Methods 0.000 claims description 12
- 238000013461 design Methods 0.000 claims description 11
- 238000001914 filtration Methods 0.000 claims description 9
- 238000009795 derivation Methods 0.000 claims description 6
- 230000036961 partial effect Effects 0.000 claims description 5
- 238000007781 pre-processing Methods 0.000 claims description 5
- 238000007665 sagging Methods 0.000 claims description 5
- 230000005483 Hooke's law Effects 0.000 claims description 4
- 238000005457 optimization Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 2
- 238000004422 calculation algorithm Methods 0.000 abstract description 11
- 238000011160 research Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 16
- 238000005259 measurement Methods 0.000 description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 12
- 238000011156 evaluation Methods 0.000 description 9
- 230000008901 benefit Effects 0.000 description 8
- 229910000831 Steel Inorganic materials 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- WABPQHHGFIMREM-UHFFFAOYSA-N lead(0) Chemical compound [Pb] WABPQHHGFIMREM-UHFFFAOYSA-N 0.000 description 7
- 239000010959 steel Substances 0.000 description 7
- 230000004044 response Effects 0.000 description 5
- 230000001133 acceleration Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000005484 gravity Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 230000035945 sensitivity Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000002706 hydrostatic effect Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 239000011148 porous material Substances 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 230000000284 resting effect Effects 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 229910001335 Galvanized steel Inorganic materials 0.000 description 1
- 229910000746 Structural steel Inorganic materials 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 239000008397 galvanized steel Substances 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000011229 interlayer Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003204 osmotic effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 239000010935 stainless steel Substances 0.000 description 1
- 229910001220 stainless steel Inorganic materials 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
- 230000003313 weakening effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02B—HYDRAULIC ENGINEERING
- E02B1/00—Equipment or apparatus for, or methods of, general hydraulic engineering, e.g. protection of constructions against ice-strains
- E02B1/02—Hydraulic models
-
- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02C—SHIP-LIFTING DEVICES OR MECHANISMS
- E02C1/00—Locks or dry-docks; Shaft locks, i.e. locks of which one front side is formed by a solid wall with an opening in the lower part through which the ships pass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/0028—Force sensors associated with force applying means
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/30—Flood prevention; Flood or storm water management, e.g. using flood barriers
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Structural Engineering (AREA)
- Mechanical Engineering (AREA)
- Civil Engineering (AREA)
- Emergency Management (AREA)
- Computing Systems (AREA)
- Business, Economics & Management (AREA)
- Ocean & Marine Engineering (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses a ship lock structure safety dynamic monitoring model, an intelligent early warning method and a system, wherein the method is used for monitoring safety dynamic research and judgment in the service process of the ship lock structure, firstly, an effective deformation statistical parameter capable of reasonably reflecting the real working characteristics of a ship lock structure is obtained based on an original deformation monitoring data interpretation algorithm. And then, carrying out inversion calculation on the effective deformation statistical parameters by adopting a dynamic inverse analysis numerical algorithm of the mechanical parameters of the ship lock structure to obtain important mechanical parameters affecting the safety of the ship lock structure, and finally, further calculating the stable safety coefficient of the structure, wherein the stable safety coefficient is used as a quantitative index for evaluating the safety of the structure, and carrying out dynamic judgment on the safety of the ship lock structure, thus the method is a key problem to be solved in the project study.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring and early warning of a service state of a shipping hub ship lock structure, in particular to a ship lock structure safety dynamic monitoring model, an intelligent early warning method and an intelligent early warning system.
Background
The ship lock is used as an indispensable component in a comprehensive transportation system, has long service life and high bearing traffic pressure, and has great significance in regular detection and management. Incomplete ship lock service state evaluation methods are easy to cause omission of potential safety hazards, so that serious traffic problems are caused.
After the ship lock is put into use, under the common influence of a plurality of factors such as the hydrodynamic force action of filling and draining water, the ship action, the rear soil filling action, the property change of concrete and the like, the mechanical property of the ship lock structure can change along with time, so that the deformation of different degrees of the building is caused, and the use safety of the ship lock structure is threatened. In the process of monitoring deformation characteristics of important parts of a ship lock structure in real time, the deformation monitoring data are affected by a plurality of uncontrollable factors on site, so that random fluctuation, intermittent jump and the like can occur. Due to random fluctuation of data, the early warning system may be difficult to distinguish normal fluctuation and real security threat, which may cause insufficient sensitivity or false alarm of the early warning system, and insufficient dynamic judging capability of the security of the ship lock structure, and difficult to effectively judge the running state of the ship lock structure in real time.
Therefore, a research and judgment method capable of carrying out safety evaluation on the service state of the ship lock is needed, and effective deformation statistical parameters of the real working characteristics of the ship lock structure are reasonably reflected.
Disclosure of Invention
In view of the above, the present invention is to provide a ship lock structure safety dynamic monitoring model and intelligent early warning method, according to the method, a monitoring instrument arranged on the ship lock is utilized to acquire effective deformation parameters of the ship lock structure, and a dynamic inversion analysis mathematical model is constructed to realize safety dynamic judgment.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The invention provides a ship lock structure safety dynamic monitoring model and an intelligent early warning method, which comprise the following steps:
The method comprises the following steps of S1, setting a monitoring instrument on a field of a hub ship lock structure and obtaining monitoring data, wherein the monitoring data is original deformation data obtained by monitoring the ship lock structure on the field in real time;
s2, preprocessing the monitoring data to obtain effective deformation statistical parameters for reflecting the operation of the ship lock structure;
s3, establishing a dynamic inversion analysis mathematical model of the mechanical parameters of the ship lock structure according to the effective deformation statistical parameters, and calculating to obtain important mechanical parameters affecting the safety of the ship lock structure through the dynamic inversion analysis mathematical model;
And S4, constructing a numerical model of the ship lock structure, calculating a structural stability safety coefficient according to important mechanical parameters, dynamically judging the safety of the hub ship lock structure, and early warning according to the judgment result.
Further, the monitoring data is obtained as follows:
The tension wire is arranged at the lock head and the lock wall to acquire a displacement monitoring signal;
setting a double-standard inverted sagging and vacuum laser collimation measuring system on the top of a lock wall of a ship lock to obtain a displacement change signal of a part to be measured of the structure;
acquiring monitoring signals of deformation, cracks and settlement joints of the bedrock by a multipoint displacement meter and a joint meter;
acquiring the basic lifting pressure of the lock wall through an osmometer;
Acquiring a backfill pressure monitoring signal behind a wall through a soil pressure monitor;
Further, in the step S2, the monitoring data is preprocessed to obtain an effective deformation statistical parameter for reflecting the operation of the ship lock structure, which is specifically performed according to the following steps:
s21, carrying out abnormal value adjustment on the monitoring data, wherein the abnormal value adjustment adopts a triple standard deviation method 3 sigma, namely when the monitoring data is in a range of less than X+3 sigma and more than X-3 sigma, the data is normal data meeting the requirements, wherein X represents an average value, and sigma represents a standard deviation;
and S22, carrying out digital filtering on the monitoring data subjected to abnormal value adjustment, wherein the digital filtering adopts a Butterworth filter.
Further, the mathematical model for dynamic inversion analysis of the mechanical parameters of the ship lock structure in the step S3 is established according to the following mode:
Changing the effective deformation statistical parameter into a complex form;
Solving partial derivatives of displacement parameters on each to-be-solved physical and mechanical parameter by adopting a complex variable derivation method;
Adopting a Newton-Raphson iterative optimization method to complete variable updating until a solution meeting the requirements is obtained;
finally, the dynamic inversion analysis process of the mechanical parameters of the ship lock structure is realized.
Further, the numerical model of the lock structure in the step S4 is established as follows:
s41, establishing a three-dimensional lock chamber model by adopting finite element software according to important mechanical parameters of the lock structure safety;
s42, determining material properties in a three-dimensional lock chamber model, wherein a concrete material constitutive relation adopts a generalized Hooke law, and a soil material constitutive relation adopts a Mohr-Coulormb model;
And S43, after the cell grids and the boundary conditions are determined, calculating the load working conditions.
Further, the dynamic security judgment of the hub lock structure in the step S4 is performed according to the following steps:
calculating a stable safety coefficient K of the rear slope, wherein the stable safety coefficient K is in a range of 1.30-1.50, and is in a safety state, and if the stable safety coefficient K exceeds the safety state, a safety early warning signal is sent;
And the stability safety coefficient K of the rear slope is obtained by substituting inversion mechanical parameters into finite elements for calculation.
Further, the dynamic safety evaluation of the hub lock structure in S4 is performed according to the following steps, taking a lock chamber as an example:
And acquiring deformation and displacement monitoring data of the lock chamber structure, inverting the stress state and stress characteristics of the concrete structure, and sending out an early warning signal if the concrete stress value obtained by inversion exceeds the design strength of the concrete structure.
The invention provides a ship lock structure safety dynamic monitoring model and an intelligent early warning system, which comprise a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the method when executing the program.
The invention has the beneficial effects that:
The invention provides a ship lock structure safety dynamic monitoring model, an intelligent early warning method and a system, the method is used for monitoring safety dynamic research and judgment in the service process of the ship lock structure, firstly, an effective deformation statistical parameter capable of reasonably reflecting the real working characteristics of a ship lock structure is obtained based on an original deformation monitoring data interpretation algorithm. And then, carrying out inversion calculation on the effective deformation statistical parameters by adopting a dynamic inverse analysis numerical algorithm of the mechanical parameters of the ship lock structure to obtain important mechanical parameters affecting the safety of the ship lock structure, and finally, further calculating the stable safety coefficient of the structure, wherein the stable safety coefficient is used as a quantitative index for evaluating the safety of the structure, and carrying out dynamic judgment on the safety of the ship lock structure, thus the method is a key problem to be solved in the project study.
The invention aims to reasonably reflect the effective deformation statistical parameters of the real working characteristics of the ship lock structure through a series of means such as multi-source data fusion, intelligent algorithm application, real-time monitoring and early warning system construction, and the like, dynamically judge the safety of the ship lock structure, comprehensively improve the safety performance of the ship lock structure and ensure the safe and stable operation of the ship lock.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objects and other advantages of the invention may be realized and obtained by means of the instrumentalities and combinations particularly pointed out in the specification.
Drawings
In order to make the objects, technical solutions and advantageous effects of the present invention more clear, the present invention provides the following drawings for description:
FIG. 1 is a flow chart of a dynamic monitoring model for the security of a ship lock structure and an intelligent early warning method.
FIG. 2 is a diagram of the layout of the lead-in wires in the left lock cable trench of the ship lock.
Fig. 3 is a schematic diagram of the calculation of the displacement of the lead wires.
Fig. 4 is a schematic diagram of a double-label inverted droop structure.
Fig. 5 is a schematic diagram of the working principle of the vacuum laser collimation system.
FIG. 6 is a side wall of a ship lock and (5) a seepage observation point layout.
Fig. 7 is a layout of the soil pressure gauge.
Fig. 8 is a grid pattern of a lock chamber of a ship lock.
Fig. 9 is a lock chamber displacement cloud of a lock chamber model operating condition.
Fig. 10 is a lock chamber model diagram of a ship lock.
Fig. 11 is a diagram of the calculation of the head pressure.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention for achieving the intended purpose, the following detailed description will refer to the specific implementation, structure, characteristics and effects according to the present invention with reference to the accompanying drawings and preferred embodiments.
Example 1
As shown in fig. 1, the ship lock structure safety dynamic monitoring model and the intelligent early warning method provided by the embodiment are used for intelligent monitoring and early warning of the service state of the ship lock structure of the shipping hub, and comprise the following steps:
The method comprises the following steps of S1, setting a monitoring instrument on a field of a hub ship lock structure and obtaining monitoring data, wherein the monitoring data is original deformation data obtained by monitoring the ship lock structure on the field in real time;
s2, preprocessing the monitoring data to obtain effective deformation statistical parameters for reflecting the operation of the ship lock structure;
the method comprises the steps of obtaining the original deformation data of a ship lock structure, carrying out outlier adjustment-digital filtering processing on the original deformation data obtained on site, and then carrying out an interpretation algorithm on the original deformation monitoring data of the ship lock structure to obtain effective deformation statistical parameters reflecting the real working characteristics of the ship lock structure;
s3, establishing a dynamic inversion analysis mathematical model of the mechanical parameters of the ship lock structure according to the effective deformation statistical parameters, and calculating to obtain important mechanical parameters affecting the safety of the ship lock structure through the dynamic inversion analysis mathematical model;
The embodiment inputs displacement (complex form) at the site monitoring point, then adopts complex variable derivative method to solve partial derivative of displacement parameter to each physical mechanical parameter (such as C, middle and sigma) to be solved, adopts Newton-Raphson iterative optimization method to complete variable update until reaching solution meeting the requirement finally, and finally realizes dynamic inversion analysis process of mechanical parameter of ship lock structure;
And S4, constructing a numerical model of the ship lock structure, calculating a structural stability safety coefficient according to important mechanical parameters, dynamically judging the safety of the hub ship lock structure, and early warning according to the judgment result.
According to the embodiment, a numerical model of the ship lock structure is established, and the ship lock structure safety evaluation index is calculated according to the parameter obtained by inversion to form a ship lock structure safety early warning signal, so that dynamic research, judgment and early warning of the ship lock structure safety are realized;
The monitoring data in this embodiment is acquired as follows:
The tension wire is arranged at the lock head and the lock wall to acquire a displacement monitoring signal;
setting a double-standard inverted sagging and vacuum laser collimation measuring system on the top of a lock wall of a ship lock to obtain a displacement change signal of a part to be measured of the structure;
acquiring monitoring signals of deformation, cracks and settlement joints of the bedrock by a multipoint displacement meter and a joint meter;
acquiring the basic lifting pressure of the lock wall through an osmometer;
Acquiring a backfill pressure monitoring signal behind a wall through a soil pressure monitor;
In step S2 of this embodiment, the monitoring data is preprocessed to obtain statistical parameters for reflecting the effective deformation of the ship lock structure during operation, which specifically includes the following steps:
s21, carrying out abnormal value adjustment on the monitoring data, wherein the abnormal value adjustment adopts a triple standard deviation method 3 sigma, namely when the monitoring data is smaller than And is greater thanThe data in the range are normal data meeting the requirements, wherein X represents the average value and sigma represents the standard deviation;
and S22, carrying out digital filtering on the monitoring data subjected to abnormal value adjustment, wherein the digital filtering adopts a Butterworth filter.
In the step S3 of this embodiment, the mathematical model for dynamic inversion analysis of mechanical parameters of the ship lock structure is established in the following manner:
The numerical model of the lock structure in step S4 of this embodiment is built as follows:
s41, establishing a three-dimensional lock chamber model by adopting finite element software according to important mechanical parameters of the lock structure safety;
s42, determining material properties in a three-dimensional lock chamber model, wherein a concrete material constitutive relation adopts a generalized Hooke law, and a soil material constitutive relation adopts a Mohr-Coulormb model;
And S43, after the cell grids and the boundary conditions are determined, calculating the load working conditions.
The dynamic security judgment of the hub lock structure in step S4 of this embodiment is performed according to the following steps:
Calculating a stable safety coefficient K of the rear slope, wherein the stable safety coefficient K is in a range of 1.30-1.50, and is in a safety state, and if the stable safety coefficient K exceeds the safety state, a safety early warning signal is sent;
And the stability safety coefficient K of the rear slope is obtained by substituting inversion mechanical parameters into finite elements for calculation.
The evaluation may also be performed as follows:
And acquiring deformation and displacement monitoring data of the gate wall and the gate chamber structure, inverting the stress state and stress characteristics of the concrete structure, and sending out an early warning signal if the inverted concrete stress value exceeds the design strength of the concrete structure.
The method can ensure the normal use of the ship lock structure, adopts complex variable derivation and other methods, and inverts parameters required by the calculation of the safety of the ship lock structure according to displacement, stress and other data monitored on site.
Example 2
The embodiment details the specific implementation process of the ship lock structure safety dynamic monitoring model and the intelligent early warning method. The specific process is as follows:
firstly, a monitoring instrument is arranged on site of a hub ship lock structure
1. And (3) monitoring the displacement of the lock head and the lock wall, namely, for monitoring the displacement of structures such as the lock head, the lock chamber wall, the wing wall and the like, developing the following two monitoring schemes:
Scheme one, lead-wire scheme
(1) The monitoring instrument comprises a unidirectional lead wire instrument and a displacement sensor.
(2) Station arrangement and device installation
And selecting a working base point to be respectively arranged at the top part and the lower lock head part of the left lock wall of the ship lock as the end points of the tension lead EX1, simultaneously installing inverted vertical lines IP1 and IP2 at the two end points, and measuring the displacement of the end points of the tension lead at the top part of the lock wall relative to the foundation through the inverted vertical lines to be used as one of parameters for calculating the displacement of the lock wall.
And a tension wire is arranged in a cable pit at the top of the gate wall. Assuming that the line has 11 measuring points in total, a unidirectional tension wire instrument is installed. The fixed end of the tension wire is positioned at the position close to the lambdoidal door at the downstream of the left lock wall of the ship lock, and the weight hanging end is positioned near the lambdoidal door of the upper lock head. The number of the measuring points is EX1-1 to EX1-11 from the upstream to the downstream. The sensor is provided with a stainless steel protection box, steel wires are protected by galvanized steel pipes, all instrument protection pipes are installed and fixed on the wall of a cable trench by adopting angle iron brackets, and a drawing wire layout diagram is shown in fig. 2. FIG. 2 is a diagram of the layout of the lead-in wires in the left lock cable trench of the ship lock.
(3) Principle of operation
The horizontal displacement is measured by adopting a tension wire, namely working base points are built at two ends of the lock wall of the ship lock (the displacement is controlled by using a reverse vertical line), a steel wire is pulled between the two working base points to serve as a datum line, a displacement mark point is established on the lock wall in a segmented mode, an electronic instrument is installed on the displacement mark point, and the displacement change of the lock wall is known by measuring the displacement of the displacement mark point relative to the steel wire.
According to the arrangement of the tension wire measuring points, the weight hanging end is arranged on the lock head on the left lock wall of the ship lock, the displacement of the weight hanging end is provided by the inverted vertical line IP1, and the lower lock head is a fixed end and is controlled by the IP 2. The principal diagram of the displacement calculation of the tension wire is shown in fig. 3, and fig. 3 is the principal diagram of the displacement calculation of the tension wire. AB in fig. 3 is the ship lock lead, with a lead length S0. Taking EX1-6 points as an example, the measurement principle is schematically shown in the figure.
In this embodiment, the displacement is measured by using a lead wire, which is specifically as follows:
1) Tension wire measurement principle:
A lead wire measuring system typically consists of a fixed reference point, one or more measuring points, and a measuring wire (typically a steel wire or strip) connecting the points. By measuring the change in length of the line, the displacement of the measurement point relative to the reference point can be calculated.
2) The measuring process comprises the following steps:
a reference plate or frame is mounted to a fixed reference point of the lock structure.
The measuring disk or frame is mounted on the gate or bottom pivot structure where displacement is to be monitored.
The measuring line (steel wire or steel belt) is led out from the reference disc, passes through the measuring disc and is fixed on the other reference point, so that a closed measuring loop is formed.
3) And (3) displacement monitoring:
The horizontal displacement of the gate or bottom pivoting structure is monitored by measuring the change in length of the line.
A variety of measuring instruments may be used to measure the length change, such as an electronic rangefinder, a laser rangefinder, or a mechanical micrometer.
4) Data acquisition and analysis:
the measurement is performed periodically and the change in length of the measurement line is recorded.
Through data analysis, the displacement trend of the ship lock structure can be monitored, and the stability of the ship lock structure can be estimated.
5) Application of tension wire measurement in ship lock structure:
Measuring discs are arranged on two sides of the lock gate, and the horizontal displacement of the gate is measured through a tension wire.
And a measuring disc is arranged at a key part of the bottom pivot structure, and the displacement of the bottom pivot is monitored to evaluate the stability of the bottom pivot. Tension wire method advantage and disadvantage analysis
The advantages are that:
1) The problem of side refraction influence is avoided, the influence of artificial technology and experience is avoided, the observation can be performed at any time, and the influence of climate and environment is avoided;
2) The automatic monitoring is convenient, the accuracy of monitoring data can be ensured to be higher than 0.1mm, and the accurate monitoring is realized;
3) Maintenance workload is low and successful instances are numerous.
Disadvantages:
Under the action of gravity, the tension wire has a sagging phenomenon in the vertical direction, and the sagging of the wire body is often changed due to various reasons, so that the tension wire cannot be used as a reference for vertical displacement measurement.
Scheme II, vacuum pipeline laser alignment scheme
(1) Monitoring instrument
The double-standard inverted-sag and vacuum laser collimation measurement system, system equipment and double-standard inverted-sag structure are shown in the figure, and the double-standard inverted-sag structure is shown in the figure 4.
Installation of equipment
The vacuum pipeline laser alignment method is to install one vacuumized pipeline in the lock wall and to install laser alignment measuring system.
(2) Principle of operation
The vacuum laser collimation system is adopted to monitor the horizontal displacement of the structure, and the principle is similar to that of a lead wire. The transmitting end and the receiving end of the laser tube are equivalent to the two fixed ends of the lead wire, and the laser beam is a straight line and is equivalent to the steel wire body of the lead wire.
The vacuum laser collimation system adopts a laser to emit a beam of laser, and the laser passes through a wave band plate (Fresnel lens) fixedly connected with a to-be-detected part of the ship lock to form a diffraction light spot on an imaging screen at a receiving end. And measuring the displacement change of the light spot on the imaging screen by using a CCD (charge coupled device) coordinate instrument, and then obtaining the displacement change of the ship lock to-be-measured part relative to the laser axis. The working principle is shown in the figure. Fig. 5 is a schematic diagram of the working principle of the vacuum laser collimation system.
(3) Analysis of advantages and disadvantages
The advantages are that:
1) The vacuum laser collimation method can monitor horizontal displacement and vertical displacement, and has the characteristics of good sealing performance, high precision, good stability and the like, and is not interfered by the outside;
2) The influence of side refraction on measurement when adopting the atmosphere laser scheme can be solved.
Disadvantages:
1) The vacuum pipeline is required to be erected, and the vacuum pump is required to be used for pumping and keeping vacuum, so that the investment is high at one time, the construction difficulty is high, and the maintenance workload after operation is also high;
2) The successful examples in the south of China are not many, and the vacuum tube laser collimation device with a partially built structure is changed into a tension wire after operation failure.
In summary, according to the characteristics of the above monitoring scheme, and in combination with the requirements of the intelligent junction engineering, the tension wire scheme is selected to monitor the displacement change rule of the head and the wall in real time.
2. Bedrock deformation, crack and settlement joint monitoring
(1) Monitoring data
Internal deformation monitoring includes matrix deformation of the structural substrate and relative deformation between the structures.
The monitoring instrument comprises a multipoint displacement meter and a seam meter.
(3) Instrument arrangement
The deformation of bedrock is generally monitored by adopting a multipoint displacement meter, and the arrangement of monitoring points is arranged on a structural section with faults, cracks and interlayers according to engineering geological conditions, and the monitoring positions are arranged in a targeted manner by combining the upper load distribution condition and the poor geological development condition of the structural object.
The relative deformation between structures is generally monitored by a seam meter, which is classified into a one-way, two-way and three-way seam meter. The seam gauges are preferably arranged in the poor geological region, the poor geological and good geological span region and the good geological region respectively, and according to the number of structural segments, the seam gauges can be recommended to be arranged according to 10% -30% of the number of structural seams.
3. Seepage monitoring
(1) Monitoring purposes and data
The monitoring work of the ship lock seepage is mainly to monitor the foundation lifting force of the lock wall, and simultaneously monitor the influence of the change of the seepage field on the adjacent overflow dam section and the influence of the lock chamber bottom plate water stop on the seepage once failure occurs.
The main monitoring data is pore water pressure, and is used for measuring the influence degree of lifting force and groundwater on the stability of a ship lock and a rock mass, and preventing seepage damage of the structure.
(2) The monitoring instrument adopts an osmometer.
(3) Monitoring method
By adopting a scheme of embedding an osmometer in bedrock, seepage monitoring should be arranged according to the type of building, engineering scale, geological conditions and the like.
(4) Osmometer arrangement
The seepage monitoring mainly comprises a downstream monitoring section of an upper lock head and a lower lock head and a section of a lock chamber section perpendicular to the water flow direction. The seepage monitoring section of the ship lock base is mainly a transverse section, wherein the upper lock head and the lower lock head are respectively provided with 1 monitoring section, the lock chamber wall can be provided with the monitoring sections along the seepage-proofing ring according to the interval of 50-150 m, each section is provided with 3-4 measuring points, and the measuring points are arranged as shown in the figure (the number is the measuring point number). FIG. 6 is a side wall of a ship lock and (5) a seepage observation point layout.
4. Soil pressure monitoring
(1) The monitoring instrument adopts a soil pressure gauge to observe data, and backfill soil pressure behind the wall and specific distribution thereof are adopted.
(2) The monitoring method adopts an earth pressure gauge for monitoring.
(3) The soil pressure gauge is arranged, namely backfill soil pressure monitoring is carried out after the wall, measuring points of each monitoring section are arranged from bottom to top, soil pressure gauges are arranged at intervals of 3.0m along the height of the wall, the intervals between the monitoring sections are preferably 50-100 m, the concrete arrangement is shown in fig. 7, and the fig. 7 is a soil pressure gauge arrangement diagram.
Second, interpretation of field monitoring data of structural deformation of ship lock
The method comprises the steps of combining original deformation data obtained by monitoring a ship lock structure in situ in real time, preprocessing the monitored original deformation data based on a random process and a statistical basic theory, and developing an original deformation monitoring data interpretation algorithm of the ship lock structure to obtain effective deformation statistical parameters capable of reasonably reflecting the real working characteristics of the ship lock structure.
1. Outlier adjustment
When the test data is processed, individual data values deviate from expected or a large number of statistical data value results, if the data values and normal data values are put together for statistics, the correctness of the test results is affected, so the data values should be adjusted.
The interference signal generally satisfies the normal distribution, i.e., gaussian distribution, strictly due to the external interference in a normal signal variation. The reliability of the amplitude value satisfies 2 sigma and is more than 95 percent, the reliability of the amplitude value satisfies 2.5 sigma and is more than 98 percent, the reliability of the amplitude value satisfies 3 sigma and is more than 99.7 percent, and the reliability of the amplitude value satisfies 3.3 sigma and is more than 99.9 percent. The measured value with deviation from the average value exceeding three times of standard deviation is called an abnormal value of height abnormality, the abnormal value of height abnormality should be adjusted when data is processed, and the test abnormal data judgment standard is about to select three times of standard deviation method (3 sigma).
Mean value is setGreater thanOr is smaller thanThe data value is an abnormal value, the value in the range is a normal value, and curve fitting can be performed after abnormal value elimination and filling are performed on the field collected data, so that a mat is made for actual measurement data characteristic value statistics. The method has the advantages of clear probability, simple thought and high reliability.
2. Digital filtering
The field data can be mixed with certain noise and other useless signals, so that the useful signals are reserved for eliminating or weakening interference noise, and the frequency of a specific wave band needs to be filtered. The distribution of wave energy weights of different frequency bands can be obtained through Fourier transformation, and the dynamic expected value of the data can be obtained through further filtering of the monitoring signals.
The filter is characterized by having the flattest amplitude characteristic in the channel, and the cut is monotonically decreased along with the rising of the frequency. The Butterworth filter is also known as the "flattest" amplitude-frequency response filter and is also a relatively simple filter.
Dynamic inversion analysis of mechanical parameters of ship lock structure
Based on the effective deformation statistical parameters obtained by the interpretation algorithm, a dynamic inverse analysis mathematical model of the mechanical parameters of the ship lock structure is established, a corresponding dynamic inversion numerical calculation method is developed, and important mechanical parameters (including cohesive force, internal friction angle, pore water pressure, concrete stress and the like) affecting the safety of the ship lock structure are obtained, so that a foundation is laid for further quantitatively evaluating the safety of the ship lock structure.
1. Inversion method
Based on the effective deformation statistical parameters obtained by the interpretation algorithm, the scheme is to select a new mechanical parameter inversion method based on a complex variable derivation method.
The basic principle is that for any real function f (x) with a real variable x, the real variable f (x) is applied with a small imaginary part h (typically h= -20), i.e. expressed as (x+ih) by complex numbers, and for a very small f (x+ih), it can be expanded in Taylor's series as:
The first and second derivatives of the above formula can be expressed as:
Where Im and Re are taken as the imaginary and real parts of f (x+ih), respectively. The derivative of the function can be obtained only through function calculation according to the two formulas, complex derivative calculation is avoided, particularly, the method has the advantages for the situations of very complex functions and difficult derivative calculation, and the method can carry out inverse analysis calculation by using a forward calculation finite element program.
2. Inversion structure important mechanical parameter based on complex variable derivative method
Forward computing displacement (complex form) at measuring point by using elastoplastic finite element method, solving partial derivative of displacement parameter to each physical and mechanical parameter to be solved by complex variable derivative method, namely solving sensitivity matrixAnd (5) completing variable updating by adopting a Newton-Raphson iterative optimization method until a solution meeting the requirements is finally obtained.
In running the program, the following points are noted:
(1) The to-be-solved variable x i adopts a complex form when inputting data, namely x+ih, wherein h=1E-15-1E-20 takes a value;
(2) The displacement value at the measuring point calculated by the finite element is also in a complex form, the real part of the displacement is the displacement at the measuring point, and the imaginary part is exactly used for calculating the sensitivity matrix
(3) Whether inversion calculation meets the requirement or not can be expressed by adopting residual errors of measured displacement and calculated displacement, and the critical value can be 1E-10.
The following is a description of the relationship between the data of real measurement and inversion calculation, and now illustrates the process of inversion calculation to obtain important mechanical parameters of the structure, namely, how to obtain cohesive force, internal friction angle, concrete stress and the like of the soil mass, and specifically the following calculation examples:
(1) Complex variable derivation method:
let function f (x, y, z):
Wherein x, y and z are mechanical parameters of the building, and e is a natural constant.
Derivative of variable x:
Complex variable derivation is adopted:
where h is the imaginary part applied by the real variable f (x) (typically h=10 -20), coshh is the hyperbolic cosine function of h, Sinhh is a hyperbolic sine function of h,Im is taken as the imaginary part of f (x+ih).
(2) Calculation model and parameters
The method comprises the steps of carrying out on-site monitoring on the running state of a ship lock engineering structure, wherein C30 is adopted for concrete, the concrete design strength is 30MPA, and the initial parameters of a slope soil body comprise an elastic modulus of E=21000 MPa, a Poisson ratio mu=0.3, a cohesive force of C=31.5 MPa and an internal friction angle phi=22 degrees.
Table 1 measurement point Displacement (theoretical value) (unit: mm)
When inverting important mechanical parameters based on the complex variable derivative inversion structure, the accurate solution can be solved through 5 iterations.
TABLE 2 cohesive force C inversion calculation results
TABLE 3 inversion calculation results of internal friction angle phi
Table 4 concrete stress σ inversion calculation results
(IV) dynamic security research and judgment and early warning technology for hub ship lock structure
Based on important mechanical parameters affecting the safety of the ship lock structure, which are obtained based on a dynamic inversion algorithm, a numerical model of the ship lock structure is established, and a stable safety coefficient of the structure is calculated and obtained, so that the numerical model is used as a quantization index for evaluating the safety of the structure, and dynamic judgment is carried out on the safety of the ship lock structure.
1. Ship lock structure safety evaluation index
Based on important mechanical parameters affecting the safety of the ship lock structure, which are obtained based on a dynamic inversion algorithm, a numerical model of the ship lock structure is established by utilizing finite element software, finite element result analysis is carried out, data such as maximum stress, maximum displacement and the like of important parts such as a lock head, a lock wall, a lock chamber and the like are obtained through calculation, and then a stable safety coefficient of the structure is calculated by utilizing a finite element method, the stable safety coefficient is used as a quantization index for evaluating the safety of the structure, dynamic judgment is carried out on the safety of the ship lock structure, the finite element model is shown in fig. 8 and 9, a grid diagram of the ship lock chamber model is shown in fig. 8, a cloud diagram of the lock chamber displacement of the ship lock chamber model in the running condition is shown in fig. 9, and a red area represents a region with the maximum structural displacement.
(1) Building three-dimensional finite element model of lock chamber structure of ship lock
According to important mechanical parameters of the safety of the lock structure, namely according to information such as design parameters, geological data, material properties and the like of an actual engineering lock chamber, a three-dimensional lock chamber model is established by adopting finite element software, interaction between a main structure and surrounding soil bodies (rock masses) is simulated, and the design parameters are adjusted to obtain quantitative indexes for evaluating the safety of the structure. Fig. 10 is a lock chamber model diagram of a ship lock.
(2) Defining material properties
In the finite element model, the constitutive relation of the concrete material adopts a generalized Hooke law, and the constitutive relation of the soil material adopts a Mohr-Coulormb model. The physical parameters of the structural materials are shown in the following table, and partial mechanical parameters of the materials can be obtained by calculation of a mathematical model of dynamic inversion analysis of mechanical parameters of a ship lock structure.
Table 5 physical parameters of the ship lock structural materials
(3) Cell meshing
In order to obtain accurate solutions of the lock chambers of the ship, the grids are encrypted at key parts of the model.
(4) Boundary condition definition
The left, right, front and back boundaries of the model are the chain rod constraint vertical to the surface, and the bottom surface is the fixedly connected constraint.
(5) Calculating load conditions
The calculation load combinations can be classified into basic combinations and special combinations. The load applied to the sluice chamber is shown in the following table for the working conditions of the construction, normal water storage level, flood design, maintenance, highest water level and earthquake.
Watch 6 lock chamber load combination watch
① Dead weight load
In the finite element analysis process, in order to simulate the dead load, an acceleration opposite to the acceleration direction of gravity needs to be applied to obtain a gravitational field.
② The calculation formula of the soil pressure is as follows:
K0＝1.35Ka (9)
K0y＝K0sin(α+δ)/tanα (11)
k a represents an active earth pressure coefficient;
K 0 represents the static soil pressure, and K a which is 1.35 times as large as that of the pressure according to JTJ307-2001, 6.11;
K 0x represents the horizontal score of the resting soil pressure coefficient;
k 0Y represents the vertical score of the resting soil pressure coefficient;
α represents the angle between the back of the gate wall and the vertical line, a=35°;
Represents the internal friction angle of the fill;
delta represents the friction angle between the back of the gate wall and the earth,
Beta represents the angle between the surface of the earth and the horizontal plane, and beta=0°.
③ Total hydrostatic pressure per unit width
Wherein P represents hydrostatic pressure, gamma represents water gravity, preferably 9.8kN/m 3, and H represents water depth.
④ Pressure raising force
The lifting force comprises buoyancy and osmotic force, and the calculation diagram is shown in figure 11.
Wherein U is the lifting force, h 1 is the distance from the water level in front of the wall to the bottom plate, h 2 is the water head behind the wall, and B is the width of the bottom plate of the lock chamber.
⑤ Mooring force
The vessel mooring force is calculated according to the following formula:
PB＝6W0.43 (14)
Wherein P B represents the mooring force of the ship, kN and W represents the displacement of the single ship.
⑥ Earthquake force
The earthquake force is calculated according to a bottom shearing method, and the sluice wall is a simple substance point system, and is specifically as follows:
FEK＝α1Gcq (15)
Wherein F EK represents earthquake force, alpha 1 represents earthquake influence coefficient, G cq represents structure dead weight, and the earthquake fortification intensity of the geographical position of the ship lock is 6 degrees according to the specification of building earthquake resistant design Specification GB50011-2001, and the basic earthquake acceleration value is designed to be 0.05G, and the first group is shown in the following table.
TABLE 7 horizontal seismic influence coefficient maximum value table
Note that the bracket numbers are used to design regions where the base seismic acceleration is 0.15g and 0.30g, respectively.
2. Safety pre-warning for ship lock structure
After analyzing the controllability of the dangerous source, one or more parameters which can adjust the dangerous source to a relative safe state from an incident critical state are selected, and the parameters are set as early warning values.
At present, the detection and evaluation of ship lock buildings in China has no corresponding standard, and the safety grade evaluation is mainly carried out by referring to Port building detection and evaluation technical Specification and Water lock safety identification.
Thought one:
In this embodiment, the stable safety coefficient K of the rear side slope may be used as a safety index, and according to the relevant specification, the safety grade is the first-level side slope, the stable coefficient K adopts 1.30-1.50, in this scheme, the critical value K critical of =1.3 is taken, and when the safety index approaches a certain range of the early warning value, or exceeds the early warning value, a safety early warning signal should be sent. The stability and safety coefficient K of the rear slope can be directly obtained through finite element calculation.
The embodiment can judge the relevant parameters according to inversion calculation, can determine the parameters obtained by the inversion calculation according to actual conditions, can directly compare with the design strength of the parameter, can also bring the parameters obtained by the inversion calculation into finite element software to calculate the corresponding safety coefficient, and then judge according to a safety system to generate an early warning signal.
And secondly, inverting the stress state and the stress characteristics of the concrete structure through deformation and displacement monitoring of structures such as a gate wall, a gate chamber and the like, and sending out an early warning signal if the concrete stress value obtained by inversion exceeds the design strength of the concrete structure.
And carrying out early warning on the emergent public events which can possibly occur and can be early warned according to the prediction analysis result. The early warning level is generally divided into five levels, I (particularly serious), II (serious), III (heavier), IV (general) and V (safe) according to the possible hazard degree, emergency degree and development state caused by the sudden public event, and the levels are sequentially represented by red, orange, yellow, blue and green.
The early warning information comprises the category, early warning level, starting time, possible influence range, warning matters, measures to be taken, issuing authorities and the like of the sudden public event.
The response plan is operated by dividing the response range into 5 classes, namely 0-20% or lower, 20-30%, 30-40%, 40-50% and more than 50% of the real-time coefficient value exceeding the critical value K critical, corresponding to class I (particularly serious), class II (serious), class III (heavier), class IV (general) and class V (safe) respectively. When the measured value exceeds more than 50% of the K critical value, the structure is safe to operate, and the warning color is green.
The emergency response plan is prepared by referring to the calculation result of the finite element analysis software and combining the relevant specifications of Port building detection and assessment technical Specification, sluice safety identification and the like as shown in the following table 5.
Emergency response scheme of displacement monitoring and early warning system of lock chamber of hub ship lock of table 8
The present invention is not limited in any way by the above-described preferred embodiments, but is not limited to the above-described preferred embodiments, and any person skilled in the art will appreciate that the present invention can be embodied in the form of a program for carrying out the method of the present invention, while the above disclosure is directed to equivalent embodiments capable of being modified or altered in some ways, it is apparent that any modifications, equivalent variations and alterations made to the above embodiments according to the technical principles of the present invention fall within the scope of the present invention.
Claims (8)
1. The ship lock structure safety dynamic monitoring model and the intelligent early warning method are characterized by comprising the following steps:
The method comprises the following steps of S1, setting a monitoring instrument on a field of a hub ship lock structure and obtaining monitoring data, wherein the monitoring data is original deformation data obtained by monitoring the ship lock structure on the field in real time;
s2, preprocessing the monitoring data to obtain effective deformation statistical parameters for reflecting the operation of the ship lock structure;
s3, establishing a dynamic inversion analysis mathematical model of the mechanical parameters of the ship lock structure according to the effective deformation statistical parameters, and calculating to obtain important mechanical parameters affecting the safety of the ship lock structure through the dynamic inversion analysis mathematical model;
And S4, constructing a numerical model of the ship lock structure, calculating a structural stability safety coefficient according to important mechanical parameters, dynamically judging the safety of the hub ship lock structure, and early warning according to the judgment result.
2. The ship lock structure safety dynamic monitoring model and intelligent early warning method as set forth in claim 1, wherein the monitoring data is obtained in the following way:
The tension wire is arranged at the lock head and the lock wall to acquire a displacement monitoring signal;
setting a double-standard inverted sagging and vacuum laser collimation measuring system on the top of a lock wall of a ship lock to obtain a displacement change signal of a part to be measured of the structure;
acquiring foundation deformation, crack and settlement joint monitoring signals behind the structure through a multipoint displacement meter and a joint meter;
acquiring the basic lifting pressure of the lock wall through an osmometer;
and acquiring a backfill pressure monitoring signal after the wall by using a soil pressure monitor.
3. The ship lock structure safety dynamic monitoring model and intelligent early warning method as set forth in claim 1, wherein the step S2 of preprocessing the monitoring data to obtain the effective deformation statistical parameters for reflecting the operation of the ship lock structure is carried out according to the following steps:
s21, carrying out abnormal value adjustment on the monitoring data, wherein the abnormal value adjustment adopts a triple standard deviation method 3 sigma, namely when the monitoring data is in a range of less than X+3 sigma and more than X-3 sigma, the data is normal data meeting the requirements, wherein X represents an average value, and sigma represents a standard deviation;
and S22, carrying out digital filtering on the monitoring data subjected to abnormal value adjustment, wherein the digital filtering adopts a Butterworth filter.
4. The ship lock structure safety dynamic monitoring model and intelligent early warning method according to claim 1, wherein the ship lock structure mechanical parameter dynamic inversion analysis mathematical model in the step S3 is established according to the following modes:
Changing the effective deformation statistical parameter into a complex form;
Solving partial derivatives of displacement parameters on each to-be-solved physical and mechanical parameter by adopting a complex variable derivation method;
Adopting a Newton-Raphson iterative optimization method to complete variable updating until a solution meeting the requirements is obtained;
finally, the dynamic inversion analysis process of the mechanical parameters of the ship lock structure is realized.
5. The ship lock structure safety dynamic monitoring model and intelligent early warning method according to claim 1, wherein the numerical model of the ship lock structure in the step S4 is established according to the following modes:
s41, establishing a three-dimensional lock chamber model by adopting finite element software according to important mechanical parameters of the lock structure safety;
s42, determining material properties in a three-dimensional lock chamber model, wherein a concrete material constitutive relation adopts a generalized Hooke law, and a soil material constitutive relation adopts a Mohr-Coulormb model;
And S43, after the cell grids and the boundary conditions are determined, calculating the load working conditions.
6. The ship lock structure safety dynamic monitoring model and intelligent early warning method as set forth in claim 1, wherein the step S4 of dynamically judging the safety of the hub ship lock structure is carried out according to the following steps:
calculating a stable safety coefficient K of the rear slope, wherein the stable safety coefficient K is in a range of 1.30-1.50, and is in a safety state, and if the stable safety coefficient K exceeds the safety state, a safety early warning signal is sent;
And the stability safety coefficient K of the rear slope is obtained by substituting inversion mechanical parameters into finite elements for calculation.
7. The ship lock structure safety dynamic monitoring model and intelligent early warning method as set forth in claim 1, wherein the step S4 of dynamically judging the safety of the hub ship lock structure is carried out according to the following steps, taking a ship lock chamber as an example:
And acquiring deformation and displacement monitoring data of the lock chamber structure, inverting the stress state and stress characteristics of the concrete structure, and sending out an early warning signal if the concrete stress value obtained by inversion exceeds the design strength of the concrete structure.
8. A ship lock structure safety dynamic monitoring model and an intelligent early warning system comprise a memory, a processor and a computer program stored on the memory and capable of running on the processor, and are characterized in that the method of any one of the claims 1 to 7 is realized when the processor executes the program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411070942.7A CN119049251A (en) | 2024-08-06 | 2024-08-06 | Ship lock structure safety dynamic monitoring model and intelligent early warning method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411070942.7A CN119049251A (en) | 2024-08-06 | 2024-08-06 | Ship lock structure safety dynamic monitoring model and intelligent early warning method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN119049251A true CN119049251A (en) | 2024-11-29 |
Family
ID=93584427
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411070942.7A Pending CN119049251A (en) | 2024-08-06 | 2024-08-06 | Ship lock structure safety dynamic monitoring model and intelligent early warning method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN119049251A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119962322A (en) * | 2025-04-09 | 2025-05-09 | 江西省水利科学院(江西省大坝安全管理中心、江西省水资源管理中心) | A safety analysis method for sluice structures under cyclic loading |
| CN120628027A (en) * | 2025-08-18 | 2025-09-12 | 中铁二局集团有限公司 | A cantilever scaffolding monitoring system |
-
2024
- 2024-08-06 CN CN202411070942.7A patent/CN119049251A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119962322A (en) * | 2025-04-09 | 2025-05-09 | 江西省水利科学院(江西省大坝安全管理中心、江西省水资源管理中心) | A safety analysis method for sluice structures under cyclic loading |
| CN120628027A (en) * | 2025-08-18 | 2025-09-12 | 中铁二局集团有限公司 | A cantilever scaffolding monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN119049251A (en) | Ship lock structure safety dynamic monitoring model and intelligent early warning method and system | |
| AU2020102166A4 (en) | Intelligent black soil slope farmland erosion self-feedback system and implementation method thereof | |
| CN115324650A (en) | Early warning grading system and method based on intelligent recognition | |
| CN113155186A (en) | Dam safety monitoring management equipment and system thereof | |
| CN113802622A (en) | Method for monitoring construction safety of deep foundation pit near railway | |
| CN116993163A (en) | Water conservancy and hydropower engineering construction safety supervision system and method | |
| CN108280969A (en) | A kind of high slope surface deformation monitoring and warning system and its method for early warning | |
| CN107727737A (en) | One kind excavates the unknown geological structure activation recognition methods of underground engineering under Unloading Effect | |
| CN106295040A (en) | Landslide disaster monitoring and warning earth's surface inclinometer threshold determination method | |
| CN111239254A (en) | Rock mass damage monitoring method in rock foundation pit excavation process | |
| CN118297641A (en) | A slope site selection planning method and system | |
| CN110082833B (en) | Intelligent hydraulic engineering structure safety monitoring system and construction method | |
| CN115164798A (en) | Embedded multi-angle dynamic slope stability monitoring system | |
| CN114001709A (en) | Building settlement monitoring method and system | |
| CN115907453B (en) | Method and system for determining thickness of waterproof rock mass by considering uncertainty of rock mass parameters | |
| CN210775480U (en) | An intelligent self-feedback system for black soil sloping farmland erosion | |
| CN120260246A (en) | A landslide disaster early warning method and system for open-pit mines | |
| CN120176766A (en) | A method and system for monitoring the operation status of a water conservancy project | |
| CN108088632A (en) | The monitoring of leakage device and method of water storage structure | |
| CN119251989A (en) | A limestone mine slope monitoring and early warning device and system | |
| CN119578831A (en) | Safety monitoring and dynamic evaluation method of construction projects based on BIM technology | |
| Ahmadi-Nedushan | Multivariate statistical analysis of monitoring data for concrete dams | |
| CN114659491A (en) | Low-carbon substation monitoring system | |
| Ishizawa et al. | Real-time prediction method for slope failure caused by rainfall using slope monitoring records | |
| Li et al. | Tailings dam breach disaster on-line monitoring method and system realization |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |