Method and equipment for monitoring displacement of U-shaped compensation unit for lateral displacement of combined electrical appliance pipeline
A method for monitoring the lateral displacement of combination electrical pipelines by optimizing the thermal expansion coefficient through three-dimensional finite element analysis and inversion algorithm solves the problems of accuracy and timeliness of lateral displacement measurement in combination electrical equipment, and realizes efficient equipment safety monitoring and early warning.
Patent Information
- Application Number
- CN202510607726.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-13
- Publication Date
- 2025-09-12
AI Technical Summary
Existing technologies are unable to perform timely and effective contactless measurement of lateral displacement in combination electrical appliances, resulting in safety hazards in the power supply system. Existing detection methods fail to consider the impact of thermal expansion and contraction on displacement, resulting in low detection accuracy and an inability to eliminate grid hazards in a timely manner.
Three-dimensional finite element analysis is used to construct a structural model. Temperature sensors and displacement sensors are combined to collect temperature distribution and displacement data in real time. The lateral displacement component is calculated through a thermal-mechanical coupling model, and the thermal expansion coefficient is optimized using an inversion algorithm to generate a graded warning signal.
It realizes high-precision, real-time displacement monitoring, can promptly detect equipment anomalies, avoid equipment damage, reduce maintenance costs, and improve the safety and operation and maintenance efficiency of the power supply system.
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Figure CN120632707A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power supply equipment, and in particular to a method and device for monitoring the displacement of a U-shaped compensation unit for the lateral displacement of a combined electrical pipeline. Background Art
[0002] Combined electrical system (GIS) equipment is widely used in modern power systems. During operation, its pipelines expand and contract due to changes in ambient temperature, resulting in lateral displacement. To compensate for this displacement, U-shaped compensation units are typically installed at pipeline corners. These units consist of a bellows compensator and an intermediate connecting cylinder. They rely on long tie rods to withstand internal SF6 gas pressure and absorb horizontal pipeline deformation through vertical segment offset. The bellows in the compensation unit primarily compensate for pipeline thermal expansion and contraction. If the sliding support is obstructed, the fixed support is insufficiently rigid, or the bellows are improperly designed and installed, the actual compensation amount will not match the normal compensation amount, resulting in failure of the compensation function. This can lead to serious accidents such as cylinder cracking and flange surface leakage, affecting equipment operation and threatening power supply safety.
[0003] In recent years, dozens of failures and incidents involving long pipeline assembly equipment caused by ambient temperature fluctuations have occurred. Investigations have revealed that these failures were all caused by displacement changes in GIS equipment. However, these equipment are not factory-installed with components to record displacement changes. Some equipment is simply equipped with a sliding ruler to record displacement changes. However, this simple mechanical ruler has no memory function and cannot generate an alarm signal for operators to handle when displacement exceeds the limit. Furthermore, GIS equipment undergoes continuous tensile or compressive deformation with ambient temperature fluctuations. To be effective, fixed mechanical rulers require on-site personnel to continuously record these changes, requiring high-level observation skills. Millimeter-level changes are also a heavy burden for observers, resulting in a very large recording workload and low inspection accuracy and efficiency. While measuring specific displacement changes is crucial for GIS equipment fault investigation and analysis, an effective method currently lacks.
[0004] In recent years, although the development of sensor technology, wireless transmission and finite element simulation has provided new ideas for GIS equipment status monitoring, such as non-contact measurement to avoid mechanical interference, Internet of Things (IoT) technology to support real-time data collection and remote transmission, and finite element analysis (FEA) combined with measured data to accurately calculate thermal stress and structural safety, existing research has not yet formed an integrated, high-precision, and early warning GIS pipeline displacement monitoring system. The power supply system operation and maintenance efficiency is low, and safety hazards exist for a long time. In addition, the existing detection bin does not consider the impact of thermal expansion and contraction on displacement, the detection accuracy is low, and it is impossible to eliminate grid hazards in a timely manner. Summary of the Invention
[0005] Therefore, the technical problem to be solved by the present invention is to overcome the problem that the existing technology cannot timely and effectively perform contactless measurement of the offset in the combination electrical appliance based on manual inspection, resulting in safety hazards in the power supply system.
[0006] To solve the above technical problems, the present invention provides a method for monitoring the displacement of a U-shaped compensation unit for the lateral displacement of a combined electrical pipeline, comprising: Using three-dimensional finite elements, a structural analysis model is constructed based on the material parameters and geometric structure of the combined electrical pipeline and U-shaped compensation unit to be tested; Real-time collection of temperature distribution data and actual displacement of the combined electrical equipment pipeline to be tested; Map the temperature distribution data to the grid nodes of the structural analysis model to obtain a thermal-mechanical coupling model; The temperature distribution data is input into the thermal-mechanical coupling model as the boundary condition, and the lateral displacement field of the U-shaped compensation unit is solved using the sequential coupling method to obtain the lateral displacement component as the theoretical displacement. The deviation between the theoretical displacement and the actual displacement is calculated. If the deviation exceeds a preset threshold, it is determined that the displacement of the combination electrical pipeline to be detected is abnormal.
[0007] Preferably, the temperature distribution data of the combined electrical equipment pipeline to be tested is obtained by using temperature sensors arranged in an array with equal intervals on the combined electrical equipment pipeline to be tested.
[0008] Preferably, the actual displacement of the combined electrical equipment pipeline to be tested is collected using a displacement sensor installed on the flange surface of a U-shaped compensation unit of the combined electrical equipment pipeline to be tested.
[0009] Preferably, a structural analysis model is constructed based on the material parameters and geometric structure of the combined electrical equipment pipeline and the U-shaped compensation unit to be tested, including: Based on the combination electrical pipeline to be tested, U-shaped compensation unit and supporting connection structure, a geometric model is obtained; Set the material parameters of the combined electrical pipeline and U-shaped compensation unit to be tested, including elastic modulus, thermal expansion coefficient and Poisson's ratio; Set boundary conditions, including full constraint at fixed supports and release of axial displacement at sliding supports; Based on the geometric model, material parameters and boundary conditions, a structural analysis model is obtained.
[0010] Preferably, when the deviation between the theoretical displacement and the actual displacement exceeds a preset threshold, the method further includes: based on the inversion algorithm principle, introducing a learning rate, correcting the thermal expansion coefficient, obtaining a new thermal expansion coefficient and updating the structural analysis model.
[0011] Preferably, the new thermal expansion coefficient is expressed as: ; in, represents the new thermal expansion coefficient, represents the thermal expansion coefficient before updating, represents the learning rate, Indicates the actual displacement, Indicates the theoretical displacement.
[0012] Preferably, the temperature distribution data is input into the thermal-mechanical coupling model as a boundary condition, and the lateral displacement field of the U-shaped compensation unit is solved using the sequential coupling method to obtain the lateral displacement component, including: The temperature distribution data is mapped to the nodes of the thermal-mechanical coupling model using the inverse distance weighted interpolation algorithm to obtain the interpolated temperature of each node; Based on the interpolated temperature of each node and the transient heat conduction equation, the node temperature value of each node is obtained; Based on the thermal expansion coefficient and the node temperature change, the node temperature value is converted into the corresponding thermal strain load; The thermal strain load of each node is applied to the structural analysis model for mechanical analysis to obtain the lateral displacement component of each node.
[0013] Preferably, the temperature distribution data is mapped to the nodes of the thermal-mechanical coupling model using an inverse distance weighted interpolation algorithm to obtain the interpolated temperature of each node, which is expressed as: ; in, Indicates the first The interpolated temperature of each node, Indicates the The temperature value of a temperature sensor, , Indicates the total number of temperature sensors; Indicates the The weight of a temperature sensor is expressed as , Indicates the first Node and The distance between the temperature sensors, represents the smoothing coefficient.
[0014] Preferably, after determining that the displacement of the combination electrical equipment pipeline to be detected is abnormal, the method further includes generating a graded warning signal, including: If the deviation between the theoretical displacement and the actual displacement is greater than the first-level warning threshold, a red warning signal is triggered; If the deviation between the theoretical displacement and the actual displacement is greater than the second-level warning threshold but not greater than the first-level warning threshold, an orange warning signal is triggered; If the deviation between the theoretical displacement and the actual displacement is greater than the preset threshold but not greater than the second-level warning threshold, a yellow warning signal is triggered; The preset threshold value is less than the second-level warning threshold value and less than the first-level warning threshold value.
[0015] This embodiment further provides a device for monitoring the lateral displacement of a U-shaped compensation unit of a combined electrical pipeline, including: The temperature sensor array is arranged in an equidistant array on the combined electrical pipeline to be tested to collect temperature distribution data in real time; The displacement sensor is installed on the flange surface of the U-shaped compensation unit of the combined electrical pipeline to be tested, and collects the actual displacement in real time; A data acquisition module is connected to the temperature sensor array and the displacement sensor, converting the temperature distribution data and the actual displacement into standard RS-485 interface data and outputting the data; The host computer is connected to the data acquisition module and implements the steps of the above-mentioned method for monitoring the lateral displacement of the U-shaped compensation unit of the combined electrical pipeline based on the temperature distribution data and the actual displacement.
[0016] The above technical solution of the present invention has the following beneficial effects compared with the prior art: The method for monitoring the displacement of a U-shaped compensation unit for the lateral displacement of a combined electrical pipeline, described in the present invention, utilizes three-dimensional finite elements to construct a structural analysis model based on the material parameters and geometric structure of the combined electrical pipeline to be tested and the U-shaped compensation unit. This accurately presents the actual characteristics of the combined electrical pipeline and the U-shaped compensation unit, fully considering the effects of material properties and complex geometric shapes on displacement, thereby providing a model foundation for subsequent precise analysis. The present invention maps temperature distribution data to the grid nodes of the structural analysis model to obtain a thermal-mechanical coupling model. Utilizing a sequential coupling analysis method from temperature field to thermal strain to displacement field, the method addresses the problem that traditional single-field analysis cannot reflect thermal-mechanical interactions. Simultaneously, the method comprehensively considers the effects of temperature changes on the mechanical properties of the structure, taking into account the effect of thermal expansion and contraction of materials due to changes in ambient temperature on structural displacement, significantly improving the accuracy of theoretical displacement calculations. This method can promptly detect displacement anomalies, identify and address problems before serious equipment failures occur, and avoid high repair costs and production losses caused by equipment damage.
[0017] The present invention adopts node-level temperature load loading technology to interpolate sensor data to grid nodes through the inverse distance weighted algorithm, reducing the temperature field reconstruction error, providing accurate input for thermal strain calculation, and improving the displacement calculation accuracy, thereby improving the displacement monitoring accuracy.
[0018] The present invention optimizes the thermal expansion coefficient in real time through an inversion algorithm, so that the use error of the model is stable within a fixed range for a long time, eliminating the need for regular calibration and ensuring the accuracy of displacement monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below based on specific embodiments of the present invention in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of the steps of the method for monitoring the lateral displacement of the U-shaped compensation unit of the combined electrical pipeline provided by the present invention; Figure 2 This is a connection diagram of the lateral displacement monitoring device of the U-shaped compensation unit of the combined electrical pipeline provided by the present invention. DETAILED DESCRIPTION
[0020] The present invention will be further described below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention.
[0021] Reference Figure 1 As shown in the flowchart of the method for monitoring the lateral displacement of the U-shaped compensation unit of the combined electrical pipeline of the present invention, the specific steps include: S101: Using three-dimensional finite elements, a structural analysis model is constructed based on the material parameters and geometric structure of the combined electrical pipelines and U-shaped compensation units to be tested; S102: Real-time collection of temperature distribution data and actual displacement of the combination electrical equipment pipeline to be tested; S103: Mapping the temperature distribution data to the grid nodes of the structural analysis model to obtain a thermal-mechanical coupling model; S104: Inputting the temperature distribution data as boundary conditions into the thermal-mechanical coupling model, solving the lateral displacement field of the U-shaped compensation unit using the sequential coupling method, and obtaining the lateral displacement component as the theoretical displacement; S105: Calculate the deviation between the theoretical displacement and the actual displacement. If the deviation exceeds a preset threshold, determine that the displacement of the combination electrical pipeline to be detected is abnormal.
[0022] The displacement measurement method of the U-shaped compensation unit in this application is non-contact, has good environmental adaptability and weather resistance, and does not generate additional force on the structure itself; the stress and deformation calculation of the U-shaped compensation unit of the combination electrical appliance under the action of temperature difference comprehensively considers factors such as fixed support, thermal expansion coefficient of the material, ambient temperature, etc., and uses measured data as input parameters, and the calculation results are accurate.
[0023] In this embodiment, temperature distribution data of the combined electrical equipment pipeline to be tested is obtained by using temperature sensors arranged in an equidistant array on the combined electrical equipment pipeline to be tested; the temperature sensors arranged in an equidistant array ensure the integrity of temperature field monitoring.
[0024] In this embodiment, a displacement sensor mounted on the flange of a U-shaped compensation unit on the test unit's pipeline is used to measure the actual displacement of the unit. The U-shaped compensation unit, consisting of a bellows and a connecting cylinder, is mechanically coupled to the pipeline via a long tie rod. Displacement monitoring points are located at the junction of the vertical section and the horizontal pipeline, a stress concentration area. The displacement at the flange connection directly reflects the effectiveness of the compensation unit, so in this embodiment, the displacement sensor is mounted on the flange.
[0025] In step S101, the construction of the structural analysis model includes: S101-1: Based on the combination electrical pipeline to be tested, U-shaped compensation unit and supporting connection structure, a geometric model is obtained; S101-2: Set the material parameters of the combined electrical pipeline and U-shaped compensation unit to be tested, including elastic modulus, thermal expansion coefficient and Poisson's ratio; S101-3: Set boundary conditions, including applying full constraints at fixed supports and releasing axial displacement at sliding supports; S101-4: Based on the geometric model, material parameters and boundary conditions, obtain the structural analysis model.
[0026] Specifically, this embodiment uses CAD software (such as SolidWorks) or a finite element pre-processing module (ANSYS Design Modeler) to establish a three-dimensional geometric model of the GIS pipeline, including: the main pipeline geometric dimensions (diameter, wall thickness), U-shaped compensation unit structure (bellows, connecting cylinder) and support structure (fixed bracket, sliding support); and uses a hexahedron-dominated hybrid grid for grid division.
[0027] The method for monitoring the displacement of a U-shaped compensation unit for the lateral displacement of a combined electrical pipeline, described in the present invention, utilizes three-dimensional finite elements to construct a structural analysis model based on the material parameters and geometric structure of the combined electrical pipeline to be tested and the U-shaped compensation unit. This accurately presents the actual characteristics of the combined electrical pipeline and the U-shaped compensation unit, fully considering the effects of material properties and complex geometric shapes on displacement, thereby providing a model foundation for subsequent precise analysis. The present invention maps temperature distribution data to the grid nodes of the structural analysis model to obtain a thermal-mechanical coupling model. Utilizing a sequential coupling analysis method from temperature field to thermal strain to displacement field, the method addresses the problem that traditional single-field analysis cannot reflect thermal-mechanical interactions. Simultaneously, the method comprehensively considers the effects of temperature changes on the mechanical properties of the structure, taking into account the effect of thermal expansion and contraction of materials due to changes in ambient temperature on structural displacement, significantly improving the accuracy of theoretical displacement calculations. This method can promptly detect displacement anomalies, identify and address problems before serious equipment failures occur, and avoid high repair costs and production losses caused by equipment damage.
[0028] Specifically, in step S104, the acquisition of the lateral displacement component includes: S104-1: Use the inverse distance weighted interpolation algorithm to map the temperature distribution data to the nodes of the thermal-mechanical coupling model and obtain the interpolated temperature of each node, which is expressed as: ; in, Indicates the first The interpolated temperature of each node, Indicates the The temperature value of a temperature sensor, , Indicates the total number of temperature sensors; Indicates the The weight of a temperature sensor is expressed as , Indicates the first Node and The distance between the temperature sensors, represents the smoothing coefficient; S104-2: Based on the interpolated temperature of each node and the transient heat conduction equation, obtain the node temperature value of each node; S104-3: Based on the thermal expansion coefficient and the node temperature change, the node temperature value is converted into the corresponding thermal strain load; S104-4: Apply the thermal strain load of each node to the structural analysis model for mechanical analysis to obtain the lateral displacement component of each node.
[0029] This embodiment uses node-level temperature loading technology to interpolate discrete sensor data onto grid nodes using an inverse distance weighted (IDW) algorithm. This solves the problem of mapping sparse sensor data to dense grid nodes and avoids stress distortion caused by traditional step-wise loading. This ensures that the temperature field reconstruction error is ≤1.5°C, providing accurate input for thermal strain calculations. The smoothing coefficient is set to prevent sudden changes in sensor data at close range and is typically set to 0.01 m² to balance accuracy and stability.
[0030] Specifically, in this embodiment, after the deviation between the theoretical displacement and the actual displacement exceeds a preset threshold, the method further includes: based on the inversion algorithm principle, introducing a learning rate, correcting the thermal expansion coefficient, obtaining a new thermal expansion coefficient and updating the structural analysis model.
[0031] The new thermal expansion coefficient is expressed as: ; represents the new thermal expansion coefficient, represents the thermal expansion coefficient before updating, represents the learning rate, Indicates the actual displacement, Indicates the theoretical displacement.
[0032] The present invention uses an inversion algorithm to optimize the thermal expansion coefficient in real time and update the structural analysis model, which can stabilize the model's usage error within a fixed range over the long term, greatly improving the accuracy of displacement monitoring and providing more accurate data support for related projects or research. Traditional methods may require regular calibration of the calibration model to ensure accuracy, but the inversion algorithm can adaptively optimize the model in real time, eliminating the need for regular calibration during long-term use. This saves a lot of manpower, material resources, and time costs, improves work efficiency, and reduces equipment downtime and other problems that may be caused by regular calibration, ensuring the continuous and stable operation of the system and guaranteeing the accuracy of displacement monitoring.
[0033] This embodiment can calculate fatigue damage based on Miner's linear cumulative damage theory by monitoring the relative displacement changes of the flanges on both sides of the bellows in real time. The fatigue damage compensation for the bellows is calculated based on the actual displacement changes of the flanges on both sides of the bellows during each fatigue load cycle, which serves as the input condition for the finite element model. The calculation results are accurate and reliable. The operating status of the compensation bellows can be monitored and evaluated online to efficiently, accurately, and promptly identify and report potential risks of excessive offset, solving the problem of difficult-to-measure offset in combination electrical appliances, which seriously threatens power supply safety.
[0034] Specifically, after determining that the displacement of the combination electrical equipment pipeline to be detected is abnormal, it also includes generating a graded warning signal, including: If the deviation between the theoretical displacement and the actual displacement is greater than the first-level warning threshold, a red warning signal is triggered; If the deviation between the theoretical displacement and the actual displacement is greater than the second-level warning threshold but not greater than the first-level warning threshold, an orange warning signal is triggered; If the deviation between the theoretical displacement and the actual displacement is greater than the preset threshold but not greater than the second-level warning threshold, a yellow warning signal is triggered; The preset threshold value is less than the second-level warning threshold value and less than the first-level warning threshold value.
[0035] This embodiment designs a three-level warning mechanism, sets corresponding warning signals based on the deformation amount, realizes a progressive response from "risk warning", "emergency warning" to "emergency shutdown", and realizes advance warning of bellows cracking accidents.
[0036] Based on the above embodiment, an embodiment of the present invention provides a device for monitoring the lateral displacement of a U-shaped compensation unit of a combined electrical pipeline, including: The temperature sensor array is arranged in an equidistant array on the combined electrical pipeline to be tested to collect temperature distribution data in real time; The displacement sensor is installed on the flange surface of the U-shaped compensation unit of the combined electrical pipeline to be tested, and collects the actual displacement in real time; A data acquisition module is connected to the temperature sensor array and the displacement sensor, converting the temperature distribution data and the actual displacement into standard RS-485 interface data and outputting the data; The host computer is connected to the data acquisition module and implements the steps of the above-mentioned method for monitoring the lateral displacement of the U-shaped compensation unit of the combined electrical pipeline based on the temperature distribution data and the actual displacement.
[0037] Specifically, in this embodiment, when setting up the temperature sensor array, it is evenly distributed at intervals of 2m to monitor the axial temperature gradient change of the pipeline; the displacement sensor uses a non-contact laser rangefinder with a measurement accuracy of ±0.1mm.
[0038] Specifically, a shielded twisted pair cable can be used to connect the temperature sensor array and the data acquisition module, and a coaxial cable can be used to connect the displacement sensor and the data acquisition module. After the collected data is converted into standard RS-485 interface data output by the data acquisition module, it is sent to the edge gateway via the RS-485 bus and then wirelessly transmitted to the host computer.
[0039] Reference Figure 2 The figure shows the connection diagram of the lateral displacement monitoring device for the U-shaped compensation unit of a combined electrical pipeline provided by the present invention. Based on the displacement monitoring method for the U-shaped compensation unit of a combined electrical pipeline provided by the present invention, this embodiment develops a software tool for quantitatively calculating stress distribution and safety assessment of combined electrical pipeline structures in substations, based on general finite element analysis software. Simultaneously, a temperature and displacement monitoring system is developed, including the optimized design of detection hardware, data acquisition and transmission hardware, power supply (solar panels), installation auxiliary devices, and related software design. This embodiment installs temperature and displacement sensors and corresponding data acquisition devices on the GIS pipeline barrel to process the detection signals into standard RS-485 interface data. The data is then input to a data transmission radio for wireless transmission. A wireless data transmission radio with the same frequency is used on the host side to receive the signal and input it to a networked computer. Specialized software is installed on the host side to receive and process the data. The processed data can then be directly transmitted to a display terminal via the network and used as input for the quantitative calculation and safety assessment tool for combined electrical pipeline structures. The tool then performs stress calculation and analysis, combining theoretical and experimental analysis data with failure case analysis data to assess and predict structural safety. The results are then transmitted to the client terminal for early warning.
[0040] The method and device for monitoring the lateral displacement of a U-shaped compensation unit for a combined electrical pipeline, as described in the present invention, utilizes three-dimensional finite elements to construct a structural analysis model based on the material parameters and geometric structure of the combined electrical pipeline to be tested and the U-shaped compensation unit. This accurately presents the actual characteristics of the combined electrical pipeline and the U-shaped compensation unit, fully considering the effects of material properties and complex geometric shapes on displacement, thereby providing a model foundation for subsequent precise analysis. The present invention maps temperature distribution data to the grid nodes of the structural analysis model to obtain a thermal-mechanical coupling model. This model utilizes a sequential coupling analysis method from temperature field to thermal strain to displacement field to address the problem that traditional single-field analysis cannot reflect thermal-mechanical interactions. Simultaneously, the method comprehensively considers the effects of temperature changes on the mechanical properties of the structure, taking into account the effect of thermal expansion and contraction of materials due to changes in ambient temperature on structural displacement. This significantly improves the accuracy of theoretical displacement calculations, enables timely detection of displacement anomalies, and allows for the identification and resolution of problems before serious equipment failures occur, thereby avoiding high repair costs and production losses caused by equipment damage. This invention employs node-level temperature loading technology, interpolating sensor data onto grid nodes using an inverse distance weighted algorithm. This reduces temperature field reconstruction errors, provides precise input for thermal strain calculations, and improves displacement calculation accuracy, thereby enhancing displacement monitoring accuracy. This invention uses an inversion algorithm to optimize the thermal expansion coefficient in real time, ensuring the model's operational error remains stable within a fixed range over the long term, eliminating the need for regular calibration and ensuring displacement monitoring accuracy.
[0041] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0042] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0043] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0044] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0045] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.
Claims
1. A method for monitoring the lateral displacement of a U-shaped compensation unit of a combined electrical pipeline, characterized in that: include: Using three-dimensional finite elements, a structural analysis model is constructed based on the material parameters and geometric structure of the combined electrical pipeline and U-shaped compensation unit to be tested; Real-time collection of temperature distribution data and actual displacement of the combined electrical equipment pipeline to be tested; Map the temperature distribution data to the grid nodes of the structural analysis model to obtain a thermal-mechanical coupling model; The temperature distribution data is input into the thermal-mechanical coupling model as the boundary condition, and the lateral displacement field of the U-shaped compensation unit is solved using the sequential coupling method to obtain the lateral displacement component as the theoretical displacement. The deviation between the theoretical displacement and the actual displacement is calculated. If the deviation exceeds a preset threshold, it is determined that the displacement of the combination electrical pipeline to be detected is abnormal.
2. The method for monitoring the lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 1, characterized in that: The temperature distribution data of the combined electrical equipment pipeline to be tested is obtained by using temperature sensors arranged in an equidistant array on the combined electrical equipment pipeline to be tested.
3. The method for monitoring the lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 1, characterized in that: The actual displacement of the combined electrical equipment pipeline to be tested is collected by using a displacement sensor installed on the flange surface of a U-shaped compensation unit of the combined electrical equipment pipeline to be tested.
4. The method for monitoring lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 1, characterized in that: Based on the material parameters and geometric structure of the combined electrical pipeline and U-shaped compensation unit to be tested, a structural analysis model is constructed, including: Based on the combination electrical pipeline to be tested, U-shaped compensation unit and supporting connection structure, a geometric model is obtained; Set the material parameters of the combined electrical pipeline and U-shaped compensation unit to be tested, including elastic modulus, thermal expansion coefficient and Poisson's ratio; Set boundary conditions, including applying full constraints at fixed supports and releasing axial displacement at sliding supports; Based on the geometric model, material parameters and boundary conditions, a structural analysis model is obtained.
5. The method for monitoring the lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 4, characterized in that: When the deviation between the theoretical displacement and the actual displacement exceeds a preset threshold, the method further includes: based on the principle of the inversion algorithm, introducing a learning rate, correcting the thermal expansion coefficient, obtaining a new thermal expansion coefficient and updating the structural analysis model.
6. The method for monitoring lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 5, characterized in that: The new thermal expansion coefficient is expressed as: ; in, represents the new thermal expansion coefficient, represents the thermal expansion coefficient before updating, represents the learning rate, Indicates the actual displacement, Indicates the theoretical displacement.
7. The method for monitoring lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 1, characterized in that: The temperature distribution data is input into the thermal-mechanical coupling model as the boundary condition. The lateral displacement field of the U-shaped compensation unit is solved using the sequential coupling method to obtain the lateral displacement components, including: The temperature distribution data is mapped to the nodes of the thermal-mechanical coupling model using the inverse distance weighted interpolation algorithm to obtain the interpolated temperature of each node; Based on the interpolated temperature of each node and the transient heat conduction equation, the node temperature value of each node is obtained; Based on the thermal expansion coefficient and the node temperature change, the node temperature value is converted into the corresponding thermal strain load; The thermal strain load of each node is applied to the structural analysis model for mechanical analysis to obtain the lateral displacement component of each node.
8. The method for monitoring the lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 7, characterized in that: The temperature distribution data is mapped to the nodes of the thermal-mechanical coupling model using the inverse distance weighted interpolation algorithm to obtain the interpolated temperature of each node, which is expressed as: ; in, Indicates the first The interpolated temperature of each node, Indicates the The temperature value of a temperature sensor, , Indicates the total number of temperature sensors; Indicates the The weight of a temperature sensor is expressed as , Indicates the first Node and The distance between the temperature sensors, represents the smoothing coefficient.
9. The method for monitoring lateral displacement of a U-shaped compensation unit of a combined electrical pipeline according to claim 1, characterized in that: After determining that the displacement of the combination electrical equipment pipeline to be tested is abnormal, it also includes generating a graded warning signal, including: If the deviation between the theoretical displacement and the actual displacement is greater than the first-level warning threshold, a red warning signal is triggered; If the deviation between the theoretical displacement and the actual displacement is greater than the second-level warning threshold but not greater than the first-level warning threshold, an orange warning signal is triggered; If the deviation between the theoretical displacement and the actual displacement is greater than the preset threshold but not greater than the second-level warning threshold, a yellow warning signal is triggered; The preset threshold value is less than the second-level warning threshold value and less than the first-level warning threshold value.
10. A lateral displacement monitoring device for a U-shaped compensation unit of a combined electrical pipeline, characterized in that: include: The temperature sensor array is arranged in an equidistant array on the combined electrical pipeline to be tested to collect temperature distribution data in real time; The displacement sensor is installed on the flange surface of the U-shaped compensation unit of the combined electrical pipeline to be tested, and collects the actual displacement in real time; A data acquisition module is connected to the temperature sensor array and the displacement sensor, converting the temperature distribution data and the actual displacement into standard RS-485 interface data and outputting the data; The host computer is connected to the data acquisition module, and implements the steps of the lateral displacement monitoring method of the U-shaped compensation unit of the combination electrical pipeline according to any one of claims 1 to 9 based on the temperature distribution data and the actual displacement.