Electric power operation risk assessment method and system

Abstract

The invention relates to the technical field of electric power operation risk assessment, in particular to an electric power operation risk assessment method and system, and the method comprises the steps: building an induction power generation numerical simulation model on a simulation platform; setting a first simulation scene to an Nth simulation scene, carrying out simulation for N times, and obtaining a first neural network model through training; monitoring electric power operation construction site data, performing data preprocessing to obtain real-time monitoring data, inputting the obtained real-time monitoring data into the first neural network model to obtain contact object induced electricity prediction data, and obtaining predicted induced voltage Up from the contact object electric charge prediction data through an induced electricity calculation method; and whether an induction electric shock risk exists is judged through calculation and analysis in a preset mode. According to the invention, through artificial intelligence analysis of the monitoring data, efficient operation risk monitoring and evaluation are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power operation risk assessment, and in particular to a power operation risk assessment method and system. Background Art

[0002] In power operations, it is crucial to accurately assess the risks of operations. Power operations involve dangerous factors such as high voltage and strong current. Once an accident occurs, it may pose a serious threat to the life and safety of the operators, and will also cause huge economic losses to enterprises and society.

[0003] At present, the assessment methods for power operation risks are relatively traditional and lack accuracy and efficiency. Traditional risk assessment methods mainly rely on experience and judgment, which is highly subjective. Different assessors may come up with different results and lack unified standards. In addition, traditional methods may also use relatively simple models for assessment, which often make it difficult to fully consider various complex power operation scenarios and parameter changes. For example, in actual power operations, factors such as the operating environment, equipment status, and personnel operation will have an impact on the risk, but traditional methods may not be able to fully consider these factors. At the same time, traditional assessment methods may be more complicated and time-consuming during the calculation process, making it difficult to meet the needs of rapid assessment. This will not only affect the efficiency of the operation, but may also increase the risk due to untimely assessment. Summary of the invention

[0004] (1) Technical issues to be solved

[0005] The purpose of the present invention is to provide a method and system for assessing the risk of power operations, so as to solve the problem that the risk assessment of induced electric shock is inaccurate and inefficient due to insufficient consideration of multiple factors or too complicated calculations in the assessment process.

[0006] (2) Technical solution

[0007] To achieve the above objectives, on the one hand, the present invention provides a method for risk assessment of power operations, the method comprising:

[0008] S1. Read the basic parameters of the numerical model of induction electricity generation, build a numerical simulation model on the simulation platform, and obtain the numerical simulation model of induction electricity generation;

[0009] S2, reading the number of values ​​of each control parameter in the induction power numerical simulation model, calculating the number of simulations N, setting the first simulation scene to the Nth simulation scene, performing N simulations in the electromagnetic field numerical simulation model, and recording the first simulation data group to the Nth simulation data group obtained by the simulation; using the first simulation data group to the Nth simulation data group for training to obtain a neural network model;

[0010] S3, monitoring the construction site data of the power operation to obtain the construction site monitoring data, preprocessing the construction site detection data to obtain real-time monitoring data, inputting the real-time monitoring data into the neural network model to obtain contact object induced electricity prediction data, the contact object induced electricity prediction data includes the predicted electric field strength E p , predicted electric displacement vector D p ; The predicted data of the contact charge is calculated by the induction method to obtain the predicted induced voltage U p ;

[0011] S4. Calculate the predicted induced voltage in a preset manner to obtain a risk assessment result of the induced electricity operation site. If the risk assessment result of the operation site is risky, a risk warning is triggered.

[0012] Further, the method of reading the number of values ​​of each control parameter in the induction electrification numerical simulation model, calculating the number of simulations N, setting the first simulation scene to the Nth simulation scene, performing N simulations in the electromagnetic field numerical simulation model, and recording the first simulation data group to the Nth simulation data group obtained by the simulation includes:

[0013] Read the number n of control parameter values ​​in the induction power numerical simulation model i , let the number of parameters of the numerical simulation model of induction electricity be k, where n i >1, i=1, 2, 3, ..., k, the simulation times N is obtained by the simulation times calculation formula; the simulation times calculation formula is:

[0014] According to the number of values ​​of each control parameter in the numerical simulation model of induction electricity generation, a corresponding number of values ​​are preset for each control parameter to obtain a control parameter preset data group, and the control parameter preset data group is traversed to obtain first simulation input data to Nth simulation input data, and the first simulation input data to Nth simulation input data are input into the numerical simulation model of induction electricity generation to obtain first simulation calculation data to Nth simulation calculation data; the first simulation input data to Nth simulation input data are combined with the first simulation calculation data to Nth simulation calculation data to obtain first simulation data group to Nth simulation data group.

[0015] Furthermore, the method of inputting the first simulation input data to the Nth simulation input data into the induction electrification numerical simulation model to obtain the first simulation calculation data to the Nth simulation calculation data includes:

[0016] The first simulation input data to the Nth simulation input data are sequentially read, and a geometric simulation model of the operation site is obtained through geometric modeling; the geometric simulation model of the operation site is divided by a tetrahedral meshing method to obtain a gridded geometric simulation model; the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions of the gridded geometric simulation model are read, and the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions are analyzed by a finite element method to obtain the electric field intensity E of each grid node and the electric displacement vector D of each grid node;

[0017] The electric displacement vector D of each grid node is calculated by differentiation of Gauss's law to obtain the contact object charge density σ; the contact object charge density is calculated by integration:

[0018] Q = ∫ σdS;

[0019] The charge Q of the contact object is obtained, where S represents the surface area of ​​the contact object;

[0020] The first simulation input data to the Nth simulation input data are sequentially simulated and the obtained data are recorded to obtain the first simulation calculation data to the Nth simulation calculation data.

[0021] Furthermore, the predicted induced voltage U is obtained by applying the predicted data of the contact charge to the induction electric calculation method. P The methods include:

[0022] Assume a and b as the starting point and end point of the path between the contact object and the high-voltage charged body, and calculate the predicted electric field strength by integration to obtain the potential difference U1 between the contact object and the high-voltage charged body. The integration calculation method is:

[0023]

[0024] Where l1 is the path between the contact object and the high-voltage charged body, and E is the electric field strength;

[0025] Assume c and d are the starting point and end point of the path between the contact object and the earth, and calculate the predicted electric field strength by integration to obtain the potential difference U2 between the contact object and the earth. The integration calculation method is:

[0026]

[0027] Where l2 is the path between the contact object and the ground;

[0028] The potential difference between the contact object and the high-voltage charged body and the charge of the contact object are defined by the capacitance Calculate and obtain the capacitance value C between the contact object and the high-voltage charged body; the potential difference between the contact object and the earth and the charge of the contact object are calculated through the capacitance definition formula Get the capacitance value C between the contact object and the earth g ;

[0029] Read the potential difference U between the high-voltage charged body and the earth, and calculate the capacitance between the contact object and the high-voltage charged body and the capacitance between the contact object and the earth through the induced voltage calculation formula Get the predicted induced voltage U p .

[0030] Furthermore, the method of determining the induced electricity prediction data by a preset calculation method to obtain the induced electricity operation site risk assessment result includes:

[0031] Read the insulation coefficient of the wearable article in contact with the contact object to obtain the insulation coefficient ρ of the wearable article; let the effective contact area between the wearable article and the contact object be S v , the equivalent length of the contact object is L, the insulation coefficient of the wearable object, the effective contact area of ​​the contact object, and the equivalent length of the contact object are calculated by the resistance calculation formula Obtaining an insulation resistance value R; calculating the predicted induced voltage and the corresponding insulation resistance value by Ohm's law to obtain a contact induced current I;

[0032] Set the electric shock risk current threshold I m , if I>I m , it is judged that there is a risk of inductive electric shock and a risk warning is issued.

[0033] Based on the same inventive concept, on the other hand, the present invention also provides a power operation risk assessment system, the system comprising:

[0034] A simulation model building module is used to read the basic parameters of the induction power numerical model, build the numerical simulation model on the simulation platform, and obtain the induction power numerical simulation model;

[0035] The first neural network model framework module is used to read the number of values ​​of each control parameter in the induction power numerical simulation model, calculate the number of simulations N, set the first simulation scene to the Nth simulation scene, perform N simulations in the electromagnetic field numerical simulation model, and record the first simulation data group to the Nth simulation data group obtained by the simulation; use the first simulation data group to the Nth simulation data group for training to obtain a neural network model;

[0036] The induced electricity prediction and numerical calculation module is used to monitor the construction site data of the power operation, obtain the construction site monitoring data, pre-process the construction site detection data to obtain real-time monitoring data, input the real-time monitoring data into the neural network model, and obtain the contact object induced electricity prediction data. The contact object induced electricity prediction data includes the predicted electric field strength E p , predicted electric displacement vector D p; The predicted data of the contact charge is calculated by the induction method to obtain the predicted induced voltage U p ;

[0037] The induced electric shock risk assessment and warning module is used to calculate the predicted induced voltage in a preset manner to obtain an induced electric shock operation site risk assessment result. If the operation site risk assessment result is risky, a risk warning is triggered.

[0038] Furthermore, the first neural network model framework module includes:

[0039] A data reading module is used to read the number n of control parameter values ​​in the induction power numerical simulation model. i , let the number of parameters of the numerical simulation model of induction electricity be k, where n i >1, i=1, 2, 3, ..., k, the simulation times N is obtained by the simulation times calculation formula; the simulation times calculation formula is:

[0040] A simulation scenario construction module is used to preset a corresponding number of values ​​for each control parameter according to the number of values ​​of each control parameter in the induction electricity numerical simulation model, obtain a control parameter preset data group, traverse the control parameter preset data group to obtain first simulation input data to Nth simulation input data, input the first simulation input data to Nth simulation input data into the induction electricity numerical simulation model to obtain first simulation calculation data to Nth simulation calculation data; combine the first simulation input data to Nth simulation input data with the first simulation calculation data to Nth simulation calculation data to obtain first simulation data group to Nth simulation data group.

[0041] Furthermore, the simulation scene construction module includes:

[0042] A geometric simulation model module is used to read the first simulation input data to the Nth simulation input data in sequence, and obtain a geometric simulation model of the work site through geometric modeling; divide the geometric simulation model of the work site through a tetrahedral meshing method to obtain a gridded geometric simulation model; read the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions of the gridded geometric simulation model, and obtain the electric field intensity E of each grid node and the electric displacement vector D of each grid node through a finite element analysis method for the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions;

[0043] The charge calculation module is used to calculate the electric displacement vector D of each grid node by differentiating Gauss's law to obtain the charge density σ of the contact object; and calculate the charge density of the contact object by integration:

[0044] Q = ∫σdS;

[0045] The charge Q of the contact object is obtained, where S represents the surface area of ​​the contact object;

[0046] The simulation data recording module is used to record the simulation data obtained from the first simulation input data to the Nth simulation input data in sequence to obtain the first simulation calculation data to the Nth simulation calculation data.

[0047] Furthermore, the induced electricity prediction and numerical calculation module includes:

[0048] The potential difference calculation module is used to set a and b as the starting point and end point of the path between the contact object and the high-voltage charged body, and calculate the predicted electric field strength by integration to obtain the potential difference U1 between the contact object and the high-voltage charged body. The integration calculation method is:

[0049]

[0050] Where l1 is the path between the contact object and the high-voltage charged body, and E is the electric field strength;

[0051] Assume c and d are the starting point and end point of the path between the contact object and the earth, and calculate the predicted electric field strength by integration to obtain the potential difference U2 between the contact object and the earth. The integration calculation method is:

[0052]

[0053] Where l2 is the path between the contact object and the ground;

[0054] The capacitance calculation module is used to calculate the potential difference between the contact object and the high-voltage charged body and the charge of the contact object through the capacitance definition formula Calculate and obtain the capacitance value C between the contact object and the high-voltage charged body; the potential difference between the contact object and the earth and the charge of the contact object are calculated by the capacitance definition formula Get the capacitance value C between the contact object and the earth g ;

[0055] The induction voltage calculation module is used to read the potential difference U between the high-voltage charged body and the earth, and calculate the capacitance value between the contact object and the high-voltage charged body and the capacitance value between the contact object and the earth through the induction voltage calculation formula Get the predicted induced voltage U p .

[0056] Furthermore, the inductive electric shock risk assessment and early warning module includes:

[0057] The induced current calculation module is used to read the insulation coefficient of the wearable object in contact with the contact object to obtain the insulation coefficient ρ of the wearable object; assuming that the effective contact area between the wearable object and the contact object is S v, the equivalent length of the contact object is L, the insulation coefficient of the wearable object, the effective contact area of ​​the contact object, and the equivalent length of the contact object are calculated by the resistance calculation formula Obtaining an insulation resistance value R; calculating the predicted induced voltage and the corresponding insulation resistance value by Ohm's law to obtain a contact induced current I;

[0058] Inductive electric shock warning module, used to set the electric shock risk current threshold I m , if I>I m , it is judged that there is a risk of inductive electric shock and a risk warning is issued.

[0059] (3) Beneficial effects

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] 1. By integrating and considering a variety of complex power operation scenarios and parameters, the adaptability and versatility of induced electric shock risk assessment in power operations are enhanced.

[0062] 2. Build a numerical simulation model of induced electricity generation through simulation flat belt, and solve the simulation results through finite element analysis method. At the same time, use the simulation data to train the neural network, and use the trained neural network model to supervise and reason about the risks of on-site operations, so as to ensure the accuracy of risk assessment of power operations and improve the efficiency of risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A flowchart of a method for risk assessment of power operations according to Embodiment 1 of the present invention;

[0064] Figure 2 This is a schematic diagram of the module composition of a power operation risk assessment system according to Example 2 of the present invention. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] Before giving examples, it is necessary to explain the application scenarios of the present invention. The present invention is used to solve the problem of inaccurate and inefficient risk assessment methods for induced electric shock during power operations.

[0067] Example 1: Figure 1 As shown, this embodiment provides a method for risk assessment of power operations, the method comprising:

[0068] S1. Read the basic parameters of the induction power numerical model, which include the voltage level of the line, the material of the conductor, the surrounding medium, the ambient temperature, the ambient humidity, and the relative positions of the equipment and personnel. Build a numerical simulation model on a commonly used electromagnetic simulation platform (such as Ansys Maxwell, etc.) to obtain the induction power numerical simulation model.

[0069] S2, reading the number of values ​​of each control parameter in the induction power numerical simulation model, calculating the number of simulations N, setting the first simulation scene to the Nth simulation scene, performing N simulations in the electromagnetic field numerical simulation model, and recording the first simulation data group to the Nth simulation data group obtained by the simulation; using the first simulation data group to the Nth simulation data group for training to obtain a neural network model;

[0070] S3, monitoring the construction site data of the power operation to obtain the construction site monitoring data; preprocessing the construction site detection data to obtain real-time monitoring data, inputting the real-time monitoring data into the neural network model to obtain contact object induced electricity prediction data, the contact object induced electricity prediction data includes the predicted electric field strength E p , predicted electric displacement vector D p ; The predicted data of the contact charge is calculated by the induction method to obtain the predicted induced voltage U p ; During actual operation, the power operation construction site data is monitored by various sensors (such as temperature and humidity sensors, magnetic field strength sensors, distance sensors, etc.) arranged at the construction site. The power operation construction site data includes: line voltage level, conductor material, surrounding environment medium, ambient temperature, ambient humidity, equipment and personnel relative positions; the power operation construction site data is subjected to data preprocessing operations such as denoising to obtain real-time monitoring data, and the data is input into the trained neural network model to obtain contact object induced electricity prediction data;

[0071] S4. Calculate the predicted induced voltage in a preset manner to obtain a risk assessment result of the induced electricity operation site. If the risk assessment result of the operation site is risky, a risk warning is triggered.

[0072] Further, the method of reading the number of values ​​of each control parameter in the induction electrification numerical simulation model, calculating the number of simulations N, setting the first simulation scene to the Nth simulation scene, performing N simulations in the electromagnetic field numerical simulation model, and recording the first simulation data group to the Nth simulation data group obtained by the simulation includes:

[0073] Read the number n of control parameter values ​​in the induction power numerical simulation model i , let the number of parameters of the numerical simulation model of induction electricity be k, where n i>1, i=1, 2, 3, ..., k, the simulation times N is obtained by the simulation times calculation formula; the simulation times calculation formula is:

[0074] For example, assuming that the number of simulation model parameters is 6 (for example, including: voltage level, wire material, surrounding medium, ambient temperature, ambient humidity, relative position of equipment and personnel), the number of values ​​of each parameter is as follows: [4, 5, 8, 10, 7, 10], then the number of simulations calculated by the simulation number calculation formula is: 112000;

[0075] According to the number of values ​​of each control parameter in the numerical simulation model of induction electricity generation, a corresponding number of values ​​are preset for each control parameter to obtain a control parameter preset data group, and the control parameter preset data group is traversed to obtain first simulation input data to Nth simulation input data, and the first simulation input data to Nth simulation input data are input into the numerical simulation model of induction electricity generation to obtain first simulation calculation data to Nth simulation calculation data; the first simulation input data to Nth simulation input data are combined with the first simulation calculation data to Nth simulation calculation data to obtain first simulation data group to Nth simulation data group.

[0076] Furthermore, the method of inputting the first simulation input data to the Nth simulation input data into the induction electrification numerical simulation model to obtain the first simulation calculation data to the Nth simulation calculation data includes:

[0077] The first simulation input data to the Nth simulation input data are sequentially read, and a geometric simulation model of the operation site is obtained through geometric modeling; the geometric simulation model of the operation site is divided by a tetrahedral meshing method to obtain a gridded geometric simulation model; the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions of the gridded geometric simulation model are read, and the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions are analyzed by a finite element method to obtain the electric field intensity E of each grid node and the electric displacement vector D of each grid node;

[0078] The electric displacement vector D of each grid node is calculated by differentiating Gauss's law to obtain the contact object charge density σ; the contact object charge density is calculated by integration:

[0079] Q = ∫σdS;

[0080] The charge Q of the contact object is obtained, where S represents the surface area of ​​the contact object;

[0081] The first simulation input data to the Nth simulation input data are sequentially simulated and the obtained data are recorded to obtain the first simulation calculation data to the Nth simulation calculation data.

[0082] Furthermore, the predicted induced voltage U is obtained by applying the predicted data of the contact charge to the induction electric calculation method. p The methods include:

[0083] Assume a and b as the starting point and end point of the path between the contact object and the high-voltage charged body, and calculate the predicted electric field strength by integration to obtain the potential difference U1 between the contact object and the high-voltage charged body. The integration calculation method is:

[0084]

[0085] Where l1 is the path between the contact object and the high-voltage charged body, and E is the electric field strength;

[0086] Assume c and d are the starting point and end point of the path between the contact object and the earth, and calculate the predicted electric field strength by integration to obtain the potential difference U2 between the contact object and the earth. The integration calculation method is:

[0087]

[0088] Where l2 is the path between the contact object and the ground;

[0089] The potential difference between the contact object and the high-voltage charged body and the charge of the contact object are defined by the capacitance Calculate and obtain the capacitance value C between the contact object and the high-voltage charged body; the potential difference between the contact object and the earth and the charge of the contact object are calculated through the capacitance definition formula Get the capacitance value C between the contact object and the earth g ;

[0090] Read the potential difference U between the high-voltage charged body and the earth, and calculate the capacitance between the contact object and the high-voltage charged body and the capacitance between the contact object and the earth through the induced voltage calculation formula Get the predicted induced voltage U p .

[0091] For example, the potential difference between the contact object and the high-voltage charged body is 1000V, and the charge of the contact object is 5C. Then the capacitance value between the contact object and the high-voltage charged body is Potential difference between contact object and earth Assuming that the potential difference between the high voltage charged body and the earth is 1500V, then

[0092] Furthermore, the method of determining the induced electricity prediction data by a preset calculation method to obtain the induced electricity operation site risk assessment result includes:

[0093] Read the insulation coefficient of the wearable article in contact with the contact object to obtain the insulation coefficient ρ of the wearable article; let the effective contact area between the wearable article and the contact object be S v, the equivalent length of the contact object is L, the insulation coefficient of the wearable object, the effective contact area of ​​the contact object, and the equivalent length of the contact object are calculated by the resistance calculation formula Obtaining an insulation resistance value R; calculating the predicted induced voltage and the corresponding insulation resistance value by Ohm's law to obtain a contact induced current I;

[0094] For example, the insulation coefficient of the wearable object is read as p=20000, and the effective contact area between the wearable object and the contact object is S v =0.1, the equivalent length of the contact is L=0.15, then the resistance calculation formula is

[0095] Set the electric shock risk current threshold I m , if I>I m , it is judged that there is a risk of inductive electric shock and a risk warning is issued.

[0096] Embodiment 2: Based on the same inventive concept, Figure 2 As shown, this embodiment also provides a power operation risk assessment system, the system comprising:

[0097] A simulation model building module is used to read the basic parameters of the induction power numerical model, build the numerical simulation model on the simulation platform, and obtain the induction power numerical simulation model;

[0098] The first neural network model framework module is used to read the number of values ​​of each control parameter in the induction power numerical simulation model, calculate the number of simulations N, set the first simulation scene to the Nth simulation scene, perform N simulations in the electromagnetic field numerical simulation model, and record the first simulation data group to the Nth simulation data group obtained by the simulation; use the first simulation data group to the Nth simulation data group for training to obtain a neural network model;

[0099] The induced electricity prediction and numerical calculation module is used to monitor the construction site data of the power operation, obtain the construction site monitoring data, pre-process the construction site detection data to obtain real-time monitoring data, input the real-time monitoring data into the neural network model, and obtain the contact object induced electricity prediction data. The contact object induced electricity prediction data includes the predicted electric field strength E p , predicted electric displacement vector D p ; The predicted data of the contact charge is calculated by the induction method to obtain the predicted induced voltage U p ;

[0100] The induced electric shock risk assessment and warning module is used to calculate the predicted induced voltage in a preset manner to obtain an induced electric shock operation site risk assessment result. If the operation site risk assessment result is risky, a risk warning is triggered.

[0101] Furthermore, the first neural network model framework module includes:

[0102] A data reading module is used to read the number n of control parameter values ​​in the induction power numerical simulation model. i , let the number of parameters of the numerical simulation model of induction electricity be k, where n i >1, i=1, 2, 3, ..., k, the simulation times N is obtained by the simulation times calculation formula; the simulation times calculation formula is:

[0103] A simulation scenario construction module is used to preset a corresponding number of values ​​for each control parameter according to the number of values ​​of each control parameter in the induction electricity numerical simulation model, obtain a control parameter preset data group, traverse the control parameter preset data group to obtain first simulation input data to Nth simulation input data, input the first simulation input data to Nth simulation input data into the induction electricity numerical simulation model to obtain first simulation calculation data to Nth simulation calculation data; combine the first simulation input data to Nth simulation input data with the first simulation calculation data to Nth simulation calculation data to obtain first simulation data group to Nth simulation data group.

[0104] Furthermore, the simulation scene construction module includes:

[0105] A geometric simulation model module is used to read the first simulation input data to the Nth simulation input data in sequence, and obtain a geometric simulation model of the work site through geometric modeling; divide the geometric simulation model of the work site through a tetrahedral meshing method to obtain a gridded geometric simulation model; read the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions of the gridded geometric simulation model, and obtain the electric field intensity E of each grid node and the electric displacement vector D of each grid node through a finite element analysis method for the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions;

[0106] The charge calculation module is used to calculate the electric displacement vector D of each grid node by differentiating Gauss's law to obtain the charge density σ of the contact object; and calculate the charge density of the contact object by integration:

[0107] Q = ∫σdS;

[0108] The charge Q of the contact object is obtained, where S represents the surface area of ​​the contact object;

[0109] The simulation data recording module is used to record the simulation data obtained from the first simulation input data to the Nth simulation input data in sequence to obtain the first simulation calculation data to the Nth simulation calculation data.

[0110] Furthermore, the induced electricity prediction and numerical calculation module includes:

[0111] The potential difference calculation module is used to set a and b as the starting point and end point of the path between the contact object and the high-voltage charged body, and calculate the predicted electric field strength by integration to obtain the potential difference U1 between the contact object and the high-voltage charged body. The integration calculation method is:

[0112]

[0113] Where l1 is the path between the contact object and the high-voltage charged body, and E is the electric field strength;

[0114] Assume c and d are the starting point and end point of the path between the contact object and the earth, and calculate the predicted electric field strength by integration to obtain the potential difference U2 between the contact object and the earth. The integration calculation method is:

[0115]

[0116] Where l2 is the path between the contact object and the ground;

[0117] The capacitance calculation module is used to calculate the potential difference between the contact object and the high-voltage charged body and the charge of the contact object through the capacitance definition formula Calculate and obtain the capacitance value C between the contact object and the high-voltage charged body; the potential difference between the contact object and the earth and the charge of the contact object are calculated by the capacitance definition formula Get the capacitance value C between the contact object and the earth g ;

[0118] The induction voltage calculation module is used to read the potential difference U between the high-voltage charged body and the earth, and calculate the capacitance value between the contact object and the high-voltage charged body and the capacitance value between the contact object and the earth through the induction voltage calculation formula Get the predicted induced voltage U p .

[0119] Furthermore, the inductive electric shock risk assessment and early warning module includes:

[0120] The induced current calculation module is used to read the insulation coefficient of the wearable object in contact with the contact object to obtain the insulation coefficient ρ of the wearable object; assuming that the effective contact area between the wearable object and the contact object is S v , the equivalent length of the contact object is L, the insulation coefficient of the wearable object, the effective contact area of ​​the contact object, and the equivalent length of the contact object are calculated by the resistance calculation formula Obtaining an insulation resistance value R; calculating the predicted induced voltage and the corresponding insulation resistance value by Ohm's law to obtain a contact induced current I;

[0121] Inductive electric shock warning module, used to set the electric shock risk current threshold I m , if I>I m, it is judged that there is a risk of inductive electric shock and a risk warning is issued.

[0122] It should be noted that, regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0123] Finally, it should be noted that: Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for assessing risk of power operations, characterized in that: The method comprises: Read the basic parameters of the numerical model of induction electricity generation, build a numerical simulation model on the simulation platform, and obtain the numerical simulation model of induction electricity generation; Read the number of values ​​of each control parameter in the induction power numerical simulation model, calculate the number of simulations N, set the first simulation scene to the Nth simulation scene, perform N simulations in the electromagnetic field numerical simulation model, and record the first simulation data group to the Nth simulation data group obtained by the simulation; use the first simulation data group to the Nth simulation data group for training to obtain a neural network model; Monitor the construction site data of the power operation to obtain the construction site monitoring data, pre-process the construction site detection data to obtain real-time monitoring data, input the real-time monitoring data into the neural network model to obtain the contact object induced electricity prediction data, the contact object induced electricity prediction data includes the predicted electric field strength E p , predicted electric displacement vector D p ; The predicted data of the contact charge is calculated by the induction method to obtain the predicted induced voltage U p ; The predicted induced voltage is calculated in a preset manner to obtain a risk assessment result of the induced electricity operation site. If the risk assessment result of the operation site is risky, a risk warning is triggered.

2. A method for assessing risk of power operations according to claim 1, characterized in that: The method of reading the number of values ​​of each control parameter in the induction electrification numerical simulation model, calculating the number of simulations N, setting the first simulation scene to the Nth simulation scene, performing N simulations in the electromagnetic field numerical simulation model, and recording the first simulation data group to the Nth simulation data group obtained by the simulation includes: Read the number n of control parameter values ​​in the induction power numerical simulation model i , let the number of parameters of the numerical simulation model of induction electricity be k, where n i >1, i=1, 2, 3, ..., k, the simulation times N is obtained by the simulation times calculation formula; the simulation times calculation formula is: According to the number of values ​​of each control parameter in the numerical simulation model of induction electricity generation, a corresponding number of values ​​are preset for each control parameter to obtain a control parameter preset data group, and the control parameter preset data group is traversed to obtain first simulation input data to Nth simulation input data, and the first simulation input data to Nth simulation input data are input into the numerical simulation model of induction electricity generation to obtain first simulation calculation data to Nth simulation calculation data; the first simulation input data to Nth simulation input data are combined with the first simulation calculation data to Nth simulation calculation data to obtain first simulation data group to Nth simulation data group.

3. A method for assessing risk of power operations according to claim 2, characterized in that: The method of inputting the first simulation input data to the Nth simulation input data into the induction electrification numerical simulation model to obtain the first simulation calculation data to the Nth simulation calculation data includes: The first simulation input data to the Nth simulation input data are sequentially read, and a geometric simulation model of the operation site is obtained through geometric modeling; the geometric simulation model of the operation site is divided by a tetrahedral meshing method to obtain a gridded geometric simulation model; the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions of the gridded geometric simulation model are read, and the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions are analyzed by a finite element method to obtain the electric field intensity E of each grid node and the electric displacement vector D of each grid node; The electric displacement vector D of each grid node is calculated by differentiation of Gauss's law to obtain the contact object charge density σ; the contact object charge density is calculated by integration: Q = ∫σdS; The charge Q of the contact object is obtained, where S represents the surface area of ​​the contact object; The first simulation input data to the Nth simulation input data are sequentially simulated and the obtained data are recorded to obtain the first simulation calculation data to the Nth simulation calculation data.

4. A method for assessing risk of power operations according to claim 1, characterized in that: The predicted induced voltage U is obtained by using the predicted data of the contact charge through the induction electricity calculation method. p The methods include: Assume a and b as the starting point and end point of the path between the contact object and the high-voltage charged body, and calculate the predicted electric field strength by integration to obtain the potential difference U1 between the contact object and the high-voltage charged body. The integration calculation method is: Where l1 is the path between the contact object and the high-voltage charged body, and E is the electric field strength; Assume c and d are the starting point and end point of the path between the contact object and the earth, and calculate the predicted electric field strength by integration to obtain the potential difference U2 between the contact object and the earth. The integration calculation method is: Where l2 is the path between the contact object and the ground; The potential difference between the contact object and the high-voltage charged body and the charge of the contact object are defined by the capacitance Calculate and obtain the capacitance value C between the contact object and the high-voltage charged body; the potential difference between the contact object and the earth and the charge of the contact object are calculated by the capacitance definition formula Get the capacitance value C between the contact object and the earth g ; Read the potential difference U between the high-voltage charged body and the earth, and calculate the capacitance between the contact object and the high-voltage charged body and the capacitance between the contact object and the earth through the induced voltage calculation formula Get the predicted induced voltage U p .

5. The method for risk assessment of power operations according to claim 1, characterized in that: The method of determining the induced electricity prediction data by a preset calculation method to obtain the on-site risk assessment result of the induced electricity operation includes: Read the insulation coefficient of the wearable article in contact with the contact object to obtain the insulation coefficient ρ of the wearable article; let the effective contact area between the wearable article and the contact object be S v , the equivalent length of the contact object is L, the insulation coefficient of the wearable object, the effective contact area of ​​the contact object, and the equivalent length of the contact object are calculated by the resistance calculation formula Obtaining an insulation resistance value R; calculating the predicted induced voltage and the corresponding insulation resistance value by Ohm's law to obtain a contact induced current I; Set the electric shock risk current threshold I m , if I>I m , it is judged that there is a risk of inductive electric shock and a risk warning is issued.

6. A power operation risk assessment system, characterized in that: The system comprises: A simulation model building module is used to read the basic parameters of the induction power numerical model, build the numerical simulation model on the simulation platform, and obtain the induction power numerical simulation model; The first neural network model framework module is used to read the number of values ​​of each control parameter in the induction power numerical simulation model, calculate the number of simulations N, set the first simulation scene to the Nth simulation scene, perform N simulations in the electromagnetic field numerical simulation model, and record the first simulation data group to the Nth simulation data group obtained by the simulation; use the first simulation data group to the Nth simulation data group for training to obtain a neural network model; The induced electricity prediction and numerical calculation module is used to monitor the construction site data of the power operation, obtain the construction site monitoring data, pre-process the construction site detection data to obtain real-time monitoring data, input the real-time monitoring data into the neural network model, and obtain the contact object induced electricity prediction data. The contact object induced electricity prediction data includes the predicted electric field strength E p , predicting the electric displacement vector p; applying the predicted data of the contact charge to the contact object through an induction electric calculation method to obtain a predicted induced voltage U p ; The induced electric shock risk assessment and warning module is used to calculate the predicted induced voltage in a preset manner to obtain an induced electric shock operation site risk assessment result. If the operation site risk assessment result is risky, a risk warning is triggered.

7. The power operation risk assessment system according to claim 6, characterized in that: The first neural network model framework module includes: A data reading module is used to read the number n of control parameter values ​​in the induction power numerical simulation model. i , let the number of parameters of the numerical simulation model of induction electricity be k, where n i >1, i=1, 2, 3, ..., k, the simulation times N is obtained by the simulation times calculation formula; the simulation times calculation formula is: A simulation scenario construction module is used to preset a corresponding number of values ​​for each control parameter according to the number of values ​​of each control parameter in the induction electricity numerical simulation model, obtain a control parameter preset data group, traverse the control parameter preset data group to obtain first simulation input data to Nth simulation input data, input the first simulation input data to Nth simulation input data into the induction electricity numerical simulation model to obtain first simulation calculation data to Nth simulation calculation data; combine the first simulation input data to Nth simulation input data with the first simulation calculation data to Nth simulation calculation data to obtain first simulation data group to Nth simulation data group.

8. The power operation risk assessment system according to claim 7, characterized in that: The simulation scene construction module includes: A geometric simulation model module is used to read the first simulation input data to the Nth simulation input data in sequence, and obtain a geometric simulation model of the work site through geometric modeling; divide the geometric simulation model of the work site through a tetrahedral meshing method to obtain a gridded geometric simulation model; read the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions of the gridded geometric simulation model, and obtain the electric field intensity E of each grid node and the electric displacement vector D of each grid node through a finite element analysis method for the geometric information, material properties, electric field boundary conditions, and magnetic field boundary conditions; The charge calculation module is used to calculate the electric displacement vector D of each grid node by differentiating Gauss's law to obtain the charge density σ of the contact object; and calculate the charge density of the contact object by integration: Q = ∫σdS; The charge Q of the contact object is obtained, where S represents the surface area of ​​the contact object; The simulation data recording module is used to record the simulation data obtained from the first simulation input data to the Nth simulation input data in sequence to obtain the first simulation calculation data to the Nth simulation calculation data.

9. The power operation risk assessment system according to claim 6, characterized in that: The induced electricity prediction and numerical calculation module includes: The potential difference calculation module is used to set a and b as the starting point and end point of the path between the contact object and the high-voltage charged body, and calculate the predicted electric field strength by integration to obtain the potential difference U1 between the contact object and the high-voltage charged body. The integration calculation method is: Where l1 is the path between the contact object and the high-voltage charged body, and E is the electric field strength; Assume c and d are the starting point and end point of the path between the contact object and the earth, and calculate the predicted electric field strength by integration to obtain the potential difference U2 between the contact object and the earth. The integration calculation method is: Where l2 is the path between the contact object and the ground; The capacitance calculation module is used to calculate the potential difference between the contact object and the high-voltage charged body and the charge of the contact object through the capacitance definition formula Calculate and obtain the capacitance value C between the contact object and the high-voltage charged body; the potential difference between the contact object and the earth and the charge of the contact object are calculated by the capacitance definition formula Get the capacitance value C between the contact object and the earth g ; The induction voltage calculation module is used to read the potential difference U between the high-voltage charged body and the earth, and calculate the capacitance value between the contact object and the high-voltage charged body and the capacitance value between the contact object and the earth through the induction voltage calculation formula Get the predicted induced voltage U p .

10. The power operation risk assessment system according to claim 6, characterized in that: The induction electric shock risk assessment and early warning module includes: The induced current calculation module is used to read the insulation coefficient of the wearable object in contact with the contact object to obtain the insulation coefficient ρ of the wearable object; assuming that the effective contact area between the wearable object and the contact object is S v , the equivalent length of the contact object is L, the insulation coefficient of the wearable object, the effective contact area of ​​the contact object, and the equivalent length of the contact object are calculated by the resistance calculation formula Obtaining an insulation resistance value R; calculating the predicted induced voltage and the corresponding insulation resistance value by Ohm's law to obtain a contact induced current I; Inductive electric shock warning module, used to set the electric shock risk current threshold I m , if I>I m , it is judged that there is a risk of inductive electric shock and a risk warning is issued.

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