Steel dam operation state monitoring method, system and device

By establishing a physical model and a strain stress sensor monitoring system based on the bend arm of the steel dam, the blindness of the steel dam operation state monitoring is solved, and the safety and risk reduction of steel dam operation are improved.

CN119104187APending Publication Date: 2024-12-10YANGZHOU FEILONG PNEUMATIC HYDRAULIC EQUIP CO LTD +1
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Patent Information

Application Number
CN202411041309.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-31
Publication Date
2024-12-10

AI Technical Summary

Technical Problem

The existing technology lacks effective monitoring methods for steel dam operation, resulting in blindness in steel dam operations, high risk of engineering diseases and crashes, affecting safe operation.

Method used

Based on the dynamic characteristics of the bend arm of the steel dam, a physical model is established, and the electrical measurement information is obtained by setting up a strain stress sensor, and the inverse orthogonal solution is performed, and the flexion bearing information is obtained, and the early warning information is generated to improve the reliability of monitoring and Security.

Benefits of technology

It realizes reliable monitoring of steel dam operation, improves operational safety, and reduces the risk of engineering diseases and wreckage.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a steel dam operation state monitoring method which comprises the following steps: (1) establishing a steel dam operation state monitoring physical model based on flexure and tension dynamic characteristics of a steel dam crank arm; (2) arranging a steel dam operation state monitoring device in the test area of the steel dam crank arm; (3) obtaining orthogonal shear stress electrical measurement information of the steel dam crank arm load through a strain stress sensor in the steel dam operation state monitoring device; (4) carrying out anti-orthogonal calculation on the electrical measurement information to obtain flexure and tension bearing information of the crank arm of the steel dam; and (5) analyzing and comparing the flexure and tension bearing information of the crank arm of the steel dam with the working standard of the steel dam to obtain the operation state information of the steel dam, and generating corresponding early warning information. According to the steel dam operation condition monitoring method, the steel dam can be reliably monitored in the operation process, and the safety and reliability of the steel dam are improved. The invention further discloses a steel dam operation state monitoring system and a steel dam operation state monitoring device.
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Description

Technical Field

[0001] The present invention relates to the field of water conservancy facility operation performance monitoring, and in particular to a steel dam operation performance monitoring method, system and device. Background Art

[0002] Steel dam is a kind of dam construction structure in water conservancy and hydropower projects, which has the functions of ecological water diversion, controlled flood control, and water resource allocation. The safety of its turnover operation process directly affects the safety of the project. Affected by complex operating conditions, the operation of steel dams presents complex and changeable characteristics. Due to the lack of effective monitoring methods, the current operation of steel dams is somewhat blind, and the risk of engineering diseases and accidents is high. It is a key technology that needs to be urgently solved for the safe operation of the project. Summary of the invention

[0003] Objectives of the invention: The first objective of the present invention is to provide a method for monitoring the operating performance of a steel dam that can improve the operational safety of the steel dam;

[0004] The second object of the present invention is to provide a steel dam operation performance monitoring system;

[0005] The third object of the present invention is to provide a steel dam operation performance monitoring device.

[0006] Technical solution: A method for monitoring the operating state of a steel dam according to the present invention comprises the following steps:

[0007] (1) Based on the flexion and extension dynamics of the steel dam arm, a physical model for monitoring the operation performance of the steel dam is established;

[0008] (2) Install a steel dam operation performance monitoring device in the test area of ​​the steel dam arm;

[0009] (3) Obtaining the orthogonal shear stress electrical measurement information of the steel dam arm load through the strain stress sensor in the steel dam operation performance monitoring device;

[0010] (4) performing inverse quadrature calculation on the electrical measurement information to obtain the flexural bearing information of the steel dam arm;

[0011] (5) The flexion-tension bearing information of the steel dam arm is analyzed and compared with the steel dam working standard to obtain the steel dam operation status information and generate corresponding early warning information.

[0012] Furthermore, the minimum distance between the boundary of the test area and the reinforcement rib of the steel dam arm is at least 15 cm, and the minimum distance between the boundary of the test area and the load-bearing point of the steel dam arm is at least 15 cm; the monitoring device is arranged on the central axis of the steel dam arm.

[0013] The stress and strain sensors are arranged in n pairs (n is 1, 4, 9, 16 or 25), and the strain gauges of each pair of the stress and strain sensors form a full-bridge four-arm Wheatstone bridge structure, so as to obtain the electrical measurement information of the steel dam arm through formula (1), that is, the voltage change rate

[0014] Furthermore, the voltage change rate The inverse intersection solution is performed by the following steps:

[0015] (4.1) The orthogonal shear stress strain ε is calculated by solving formula (1):

[0016]

[0017] Where: is the resistance change rate of the Wheatstone bridge strain gauge caused by load at the test point, is the voltage change rate caused by the change of the strain gauge resistance, and K is the sensitivity coefficient of the strain gauge material;

[0018] (4.2) Calculate the maximum shear force F on the steel dam arm s | max ,

[0019] because,

[0020]

[0021] According to formula (2) and formula (3), we can get

[0022]

[0023] Where: τ max The maximum shear stress of the steel dam arm, μ is the Poisson's ratio of the strain gauge material, E is the elastic modulus, h is the cross-sectional length of the arm, and b is the cross-sectional width of the arm;

[0024] (4.3) Calculate the driving bending moment M of the steel dam arm,

[0025] M=F s | max ·L (5)

[0026] Where: L is the maximum shear force F on the steel dam arm s | max The moment arm to the spindle;

[0027] (4.4) Perform stability calculation on the steel dam arm.

[0028]

[0029] F p =F s |max ·ctnα (8)

[0030]

[0031] Where: I is the minimum axial inertia moment of the crank arm cross section, h is the length of the crank arm cross section, b is the width of the crank arm cross section, F cr is the critical pressure of the crank arm, η is the critical stress F of the crank arm due to the hinged support at both ends cr The influence coefficient is η = 1, l is the length of the rod, F p is the maximum shear force F s | max The pressure component in the direction of the central axis of the steel dam arm, α is the maximum load shear force F s | max The angle between the central axis of the steel dam arm, n st is the safety factor of the steel dam arm stability.

[0032] The process of analyzing and comparing the flexural bearing information of the steel dam arm with the steel dam working standards includes:

[0033] (5.1) The maximum shear force F of the steel dam arm is calculated. s | max Compare with the maximum allowable working shear force of the steel dam crank arm;

[0034] (5.2) Determine the stability safety factor n of the steel dam arm st Whether it exceeds 5;

[0035] (5.3) The operating behavior of the steel dam is obtained by analysis. If F s | max The maximum allowable working shear force of the steel dam arm is not exceeded, and n st ≥5, the steel dam operates normally, otherwise, the corresponding warning information is generated.

[0036] After multiple monitoring of the steel dam turning arm, the working angle of the steel dam turning arm within the working angle range of [ξ, ξ+90°] was constructed. and the maximum shear stress of the steel dam arm τ max data table, so that the corresponding angle can be directly called by table lookup method The maximum shear stress of the steel dam arm τ max Through the above, the processing time of the processor can be greatly saved and the real-time performance of monitoring can be improved.

[0037] A steel dam operation status monitoring system of the present invention is used to execute the steel dam operation status monitoring method described in the claim, and includes a sensor signal acquisition and processing module, an inverse quadrature solution module, an analysis and comparison module and an early warning module; the sensor signal acquisition and processing module acquires and processes electrical measurement information and converts the electrical signal into a digital signal; the inverse quadrature solution module is used to perform inverse quadrature solution on the information converted by the sensor signal acquisition and processing module; the analysis and comparison module analyzes and compares the flexion-tension bearing information of the steel dam crank generated by the inverse quadrature solution module and determines the operation status of the steel dam; the early warning module determines whether to send early warning information based on the analysis result of the analysis and comparison module.

[0038] A steel dam operation performance monitoring device of the present invention is installed with the above-mentioned steel dam operation performance monitoring system, including strain stress sensors; the stress strain sensors are arranged as n pairs (n is 1, 4, 9, 16 or 25), each of the stress strain sensors includes two orthogonally arranged strain gauges, and the four strain gauges of each pair of the stress strain sensors are respectively a 0° strain gauge, a 90° strain gauge, a 180° strain gauge and a 270° strain gauge, thereby forming a full-bridge four-arm Wheatstone bridge structure.

[0039] Preferably, a plurality of pairs of the stress and strain sensors are arranged along the central axis of the steel dam arm.

[0040] A steel dam operation status monitoring device of the present invention also includes an electrical measurement and transmission module and a processor. The signal output end of the stress and strain sensor is connected to the signal input end of the electrical measurement and transmission module, and the signal output end of the electrical measurement and transmission module is connected to the processor; the electrical measurement and transmission module converts the electrical signal of the stress and strain sensor into a digital signal, and the processor completes inverse intersection solution, analysis comparison and early warning.

[0041] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: The present invention establishes a physical model based on the flexion-extension dynamic characteristics of the steel dam crank arm, collects reliable electrical measurement information through the steel dam operation status monitoring device and its sensor design, obtains the flexion-extension bearing information of the steel dam crank arm through inverse intersection solution, and analyzes and compares the operation status of the steel dam under the current working conditions, thereby realizing reliable monitoring of the steel dam during operation and improving the safety and reliability of the steel dam. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a structural schematic diagram of the steel dam of the present invention;

[0043] Figure 2 It is a schematic diagram of a steel dam operation performance monitoring device of the present invention;

[0044] Figure 3 is a schematic diagram of a Wheatstone bridge of the present invention;

[0045] Figure 4 The circuit diagram of the steel dam operation performance monitoring device of the present invention;

[0046] Figure 5 It is a schematic diagram of the physical model for monitoring the operation performance of a steel dam according to the present invention;

[0047] Figure 6 It is a schematic cross-sectional view of the steel dam arm of the present invention;

[0048] Figure 7 It is a schematic diagram of the actual operation of the steel dam of the present invention. DETAILED DESCRIPTION

[0049] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0050] Embodiment 1:

[0051] like Figures 1 to 2 As shown, the steel dam includes a steel dam gate 1, a steel dam turning arm 2, a main shaft 3, a cylinder support 4, a driving cylinder 5, a turning arm hole 6, and a lower turning arm hole 7. The lower turning arm hole 7 is welded and fixed to the main shaft 3, and a connecting pin 8 is inserted through the turning arm hole 6. Each steel dam turning arm 2 is provided with two groups of force nodes 9 facing back and symmetrically.

[0052] like Figure 1-7 As shown, a method for monitoring the operating performance of a steel dam of the present invention comprises the following steps:

[0053] (1) Based on the flexion and extension dynamics of the steel dam arm, a physical model for monitoring the operation performance of the steel dam is established;

[0054] (2) Install a steel dam operation performance monitoring device in the test area of ​​the steel dam arm;

[0055] (3) Obtaining the orthogonal shear stress electrical measurement information of the steel dam arm load through the strain stress sensor in the steel dam operation performance monitoring device;

[0056] (4) performing inverse quadrature calculation on the electrical measurement information to obtain the flexural bearing information of the steel dam arm;

[0057] (5) The flexion-tension bearing information of the steel dam arm is analyzed and compared with the steel dam working standard to obtain the steel dam operation status information and generate corresponding early warning information.

[0058] Furthermore, the minimum distance between the boundary of the test area and the reinforcement rib of the steel dam arm is at least 15 cm, and the minimum distance between the boundary of the test area and the load-bearing point of the steel dam arm is at least 15 cm; the monitoring device is set on the central axis of the steel dam arm.

[0059] The stress and strain sensors are set to n pairs (n is a positive integer), and the strain gauges of each pair of stress and strain sensors form a Wheatstone bridge structure to obtain the electrical measurement information of the steel dam arm through formula (1), that is, the voltage change rate

[0060] Furthermore, the voltage change rate The inverse intersection solution is performed by the following steps:

[0061] (4.1) The orthogonal shear stress strain ε is calculated by solving formula (1):

[0062]

[0063] Where: is the resistance change rate of the Wheatstone bridge strain gauge caused by load at the test point, is the voltage change rate caused by the change of the strain gauge resistance, and K is the sensitivity coefficient of the strain gauge material;

[0064] (4.2) Calculate the maximum shear force F on the steel dam arm s | max ,

[0065] because,

[0066]

[0067] According to formula (2) and formula (3), we can get

[0068]

[0069] Where: τ max The maximum shear stress of the steel dam arm, μ is the Poisson's ratio of the strain gauge material, E is the elastic modulus, h is the cross-sectional length of the arm, and b is the cross-sectional width of the arm;

[0070] (4.3) Calculate the driving bending moment M of the steel dam arm,

[0071] M=F s | max ·L (5)

[0072] Where: L is the maximum shear force F on the steel dam arm s | max The moment arm to the spindle;

[0073] (4.4) Perform stability calculation on the steel dam arm.

[0074]

[0075]

[0076] Fp =F s | max ·ctnα (8)

[0077]

[0078] Where: I is the minimum axial inertia moment of the crank arm cross section, h is the length of the crank arm cross section, b is the width of the crank arm cross section, F cr is the critical pressure of the crank arm, η is the critical stress F of the crank arm due to the hinged support at both ends cr The influence coefficient is η = 1, l is the length of the rod, F p is the maximum shear force F s | max The pressure component in the direction of the central axis of the steel dam arm, α is the maximum load shear force F s | max The angle between the central axis of the steel dam arm, n st is the safety factor of the steel dam arm stability.

[0079] The process of analyzing and comparing the flexural bearing information of the steel dam arm with the steel dam working standards includes:

[0080] (5.1) The maximum shear force F of the steel dam arm is calculated. s | max Compare with the maximum allowable working shear force of the steel dam crank arm;

[0081] (5.2) Determine the stability safety factor n of the steel dam arm st Whether it exceeds 5;

[0082] (5.3) The operating behavior of the steel dam is obtained by analysis. If F s | max The maximum allowable working shear force of the steel dam arm is not exceeded, and n st ≥5, the steel dam operates normally, otherwise, the corresponding warning information is generated.

[0083] A steel dam operation status monitoring system of the present invention is used to execute the steel dam operation status monitoring method described in the claim, and includes a sensor signal acquisition and processing module, an inverse quadrature solution module, an analysis and comparison module and an early warning module; the sensor signal acquisition and processing module acquires and processes electrical measurement information and converts the electrical signal into a digital signal; the inverse quadrature solution module is used to perform inverse quadrature solution on the information converted by the sensor signal acquisition and processing module; the analysis and comparison module analyzes and compares the flexion-extension bearing information of the steel dam crank generated by the inverse quadrature solution module and determines the operation status of the steel dam; the early warning module determines whether to send early warning information based on the analysis result of the analysis and comparison module.

[0084] A steel dam operation performance monitoring device of the present invention is installed with the above-mentioned steel dam operation performance monitoring system, including a strain stress sensor; the stress strain sensor is arranged in a pair, each stress strain sensor includes two orthogonally arranged strain gauges, and the four strain gauges of each pair of stress strain sensors are respectively a 0° strain gauge 11, a 90° strain gauge 10, a 180° strain gauge 12 and a 270° strain gauge 13, thereby forming a full-bridge four-arm Wheatstone bridge structure.

[0085] A steel dam operation status monitoring device of the present invention also includes an electrical measurement and transmission module and a processor. The signal output end of the stress and strain sensor is connected to the signal input end of the electrical measurement and transmission module, and the signal output end of the electrical measurement and transmission module is connected to the processor; the electrical measurement and transmission module converts the electrical signal of the stress and strain sensor into a digital signal, and the processor completes inverse intersection solution, analysis comparison and early warning.

[0086] Embodiment 2:

[0087] In this embodiment, four pairs of stress and strain sensors are arranged along the central axis of the steel dam arm.

[0088] The inverse intersection solution process of this embodiment is based on multiple monitoring of the steel dam turning arm to construct the working angle of the steel dam turning arm within the working angle range [ξ, ξ+90°] of the steel dam turning arm. and the maximum shear stress of the steel dam arm τ max For details, see Table 1. The corresponding angle can be directly called by the table lookup method. The maximum shear stress of the steel dam arm τ max The numerical value can greatly save the processing time of the processor and ensure the real-time monitoring.

[0089] Table 1 Working angle of steel dam arm and the maximum shear stress of the steel dam arm τ max Data Sheet

[0090]

Claims

1. A method for monitoring the operating performance of a steel dam. It is characterized in that The steps include: (1) Based on the flexion and extension dynamics of the steel dam arm, a physical model for monitoring the operation performance of the steel dam is established; (2) Install a steel dam operation performance monitoring device in the test area of ​​the steel dam arm; (3) Obtaining the orthogonal shear stress electrical measurement information of the steel dam arm load through the strain stress sensor in the steel dam operation performance monitoring device; (4) performing inverse quadrature calculation on the electrical measurement information to obtain the flexural bearing information of the steel dam arm; (5) The flexion-tension bearing information of the steel dam arm is analyzed and compared with the steel dam working standard to obtain the steel dam operation status information and generate corresponding early warning information.

2. The method for monitoring the operation performance of a steel dam according to claim 1, It is characterized in that The minimum distance between the boundary of the test area and the reinforcement rib of the steel dam arm is at least 15 cm, and the minimum distance between the boundary of the test area and the load-bearing point of the steel dam arm is at least 15 cm; the monitoring device is arranged on the central axis of the steel dam arm.

3. The method for monitoring the operation performance of a steel dam according to claim 1, It is characterized in that The stress and strain sensors are arranged in n pairs (n is 1, 4, 9, 16 or 25), and the strain gauges of each pair of the stress and strain sensors form a full-bridge four-arm Wheatstone bridge structure, so as to obtain the orthogonal shear stress electrical measurement information of the steel dam arm under load through formula (1), that is, the voltage change rate 4. The method for monitoring the operation performance of a steel dam according to claim 3, It is characterized in that Voltage change rate The inverse intersection solution is performed by the following steps: (4.1) The orthogonal shear stress strain ε is calculated by solving formula (1): Where: is the resistance change rate of the Wheatstone bridge strain gauge caused by load at the test point, is the voltage change rate caused by the change of the strain gauge resistance, and K is the sensitivity coefficient of the strain gauge material; (4.2) Calculate the maximum shear force F on the steel dam arm s|max , because, According to formula (2) and formula (3), we can get Where: τ max The maximum shear stress of the steel dam arm, μ is the Poisson's ratio of the strain gauge material, E is the elastic modulus, h is the cross-sectional length of the arm, and b is the cross-sectional width of the arm; (4.3) Calculate the driving bending moment M of the steel dam arm, M=F s | max ·L (5) Where: L is the maximum shear force F on the steel dam arm s | max The moment arm to the spindle; (4.4) Perform stability calculation on the steel dam arm. F p =F s | max ·ctnα (8) Where: I is the minimum axial inertia moment of the crank arm cross section, h is the length of the crank arm cross section, b is the width of the crank arm cross section, F cr is the critical pressure of the crank arm, η is the critical stress F of the crank arm due to the hinged support at both ends cr The influence coefficient is η = 1, l is the length of the rod, F p is the maximum shear force F s | max The pressure component in the direction of the central axis of the steel dam arm, α is the maximum load shear force F s | max The angle between the central axis of the steel dam arm, n st is the safety factor of the steel dam arm stability.

5. The method for monitoring the operation performance of a steel dam according to claim 4, It is characterized in that The process of analyzing and comparing the flexural bearing information of the steel dam arm with the steel dam working standards includes: (5.1) The maximum shear force F of the steel dam arm is calculated. s | max Compare with the maximum allowable working shear force of the steel dam crank arm; (5.2) Determine the stability safety factor n of the steel dam arm st Whether it exceeds 5; (5.3) The operating behavior of the steel dam is obtained by analysis. If F s | max The maximum allowable working shear force of the steel dam arm is not exceeded, and n st ≥5, the steel dam operates normally, otherwise, the corresponding warning information is generated.

6. The method for monitoring the operation performance of a steel dam according to claim 1, It is characterized in that After multiple monitoring of the steel dam turning arm, the working angle of the steel dam turning arm within the working angle range of [ξ°, ξ+90°] was constructed. and the maximum shear stress of the steel dam arm τ max data table, so that the corresponding angle can be directly called by table lookup method The maximum shear stress of the steel dam arm τ max Numeric value.

7. A steel dam operation performance monitoring system, used to execute the steel dam operation performance monitoring method according to any one of claims 1 to 6, It is characterized in that It includes sensor signal acquisition and processing module, inverse intersection solution module, analysis and comparison module and early warning module; The sensor signal acquisition and processing module acquires and processes the electrical measurement information and converts the electrical signal into a digital signal; The inverse cross-sectional calculation module is used to perform inverse cross-sectional calculation on the information converted by the sensor signal acquisition and processing module; The analysis and comparison module analyzes and compares the flexure-tension bearing information of the steel dam arm generated by the inverse intersection solution module, and determines the operating state of the steel dam; The warning module determines whether to send a warning message based on the analysis results of the analysis and comparison module.

8. A steel dam operation performance monitoring device, equipped with the steel dam operation performance monitoring system according to claim 7, It is characterized in that It includes strain stress sensors; the stress strain sensors are arranged in n pairs (n is 1, 4, 9, 16 or 25), each of the stress strain sensors includes two orthogonally arranged strain gauges, and the four strain gauges of each pair of the stress strain sensors are respectively a 0° strain gauge, a 90° strain gauge, a 180° strain gauge and a 270° strain gauge, thereby forming a full-bridge four-arm Wheatstone bridge structure.

9. A steel dam operation performance monitoring device according to claim 8, It is characterized in that A plurality of pairs of stress and strain sensors are arranged along the central axis of the steel dam arm.

10. A steel dam operation performance monitoring device according to claim 8, It is characterized in that It also includes an electrical measurement and transmission module and a processor. The signal output end of the stress and strain sensor is connected to the signal input end of the electrical measurement and transmission module, and the signal output end of the electrical measurement and transmission module is connected to the processor; the electrical measurement and transmission module converts the electrical signal of the stress and strain sensor into a digital signal, and the processor completes inverse intersection solution, analysis comparison and early warning.