Method and system for analyzing and evaluating electromagnetic interference in power application environment

Abstract

The invention relates to the technical field of electromagnetic compatibility, in particular to a power application environment electromagnetic interference analysis and evaluation method and system, and the method comprises the following steps: recording the position coordinates of a plurality of power devices based on power grid operation data, collecting the current and voltage data of the operation of the devices, and measuring the electromagnetic field intensity data of a plurality of positions of a power grid; an electromagnetic environment data set is generated. According to the method, the operation data and the electromagnetic field intensity of the power equipment are recorded, the understanding ability of the electromagnetic environment is enhanced, the shielding effect of various materials is accurately evaluated by combining the analysis of the shielding materials, the design and operation of the power equipment are optimized, and the electromagnetic sensitivity of the equipment is evaluated. According to the method, the dynamic distribution of the electromagnetic field is simulated and predicted, the electromagnetic field mode causing a fault is identified, and risk equipment predicted through real-time monitoring and data analysis is combined, so that the stability and safety of a power system are improved, the anti-interference capability is enhanced, and the operation efficiency and function safety of power facilities are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic compatibility, and in particular to an electromagnetic interference analysis and evaluation method and system for an electric power application environment. Background Art

[0002] The field of electromagnetic compatibility technology focuses on ensuring the normal operation of electronic equipment and systems in a variety of electromagnetic environments and preventing equipment from interfering with other equipment in the same environment. It includes the detection, quantification, control and prevention of electromagnetic interference. Through electromagnetic environment testing, electromagnetic shielding design of equipment, identification of interference sources and evaluation of the impact on system performance, it helps to improve the functional safety and reliability of equipment, enhance the equipment's resistance to external interference, comply with international standards and regulations, and improve the stability and functionality of the system.

[0003] Among them, the electromagnetic interference analysis and assessment method for power application environment focuses on the analysis and assessment of electromagnetic interference problems in the power system and its environment. By systematically analyzing the types and degrees of electromagnetic interference encountered by power equipment and infrastructure in various operating environments, it identifies and quantifies the impact of interference on power system performance, and helps engineers and technicians formulate intervention measures, including optimizing equipment design and improving operating protocols, to ensure the stable operation of the power system and improve overall electromagnetic compatibility, and comply with regulatory requirements for electromagnetic compatibility to ensure the safety and efficiency of power facilities.

[0004] Traditional electromagnetic interference analysis and evaluation methods have shortcomings in the actual application of electromagnetic compatibility. The current electromagnetic compatibility technology focuses on static electromagnetic environment testing and preliminary shielding capabilities of equipment design, and it is difficult to achieve dynamic and real-time electromagnetic environment analysis. It ignores the actual performance of the power system in a changeable electromagnetic environment, and cannot fully predict and respond to rapidly changing electromagnetic interference. In the modern environment of complex power networks and high-density electronic equipment operations, it cannot provide sufficient data support to guide the optimization and intervention measures of power equipment in actual operation, resulting in poor response measures when the system encounters unexpected electromagnetic interference. During high load or critical operation periods, the reliability and stability of the system are threatened. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an electromagnetic interference analysis and evaluation method and system for an electric power application environment.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme, a method for analyzing and evaluating electromagnetic interference in an electric power application environment, comprising the following steps:

[0007] S1: Based on the grid operation data, the location coordinates of multiple power equipment are recorded, the current and voltage data of the equipment operation are collected, and the electromagnetic field strength data at multiple locations of the grid are measured to generate an electromagnetic environment data set;

[0008] S2: Based on the electromagnetic environment data set, analyzing the influence of various shielding materials on the electromagnetic field strength, calculating the shielding performance indicators of various materials, and generating shielding effect analysis results;

[0009] S3: According to the shielding effect analysis result, compare the performance attenuation of various power equipment under differentiated electromagnetic environments, evaluate the electromagnetic susceptibility of various power equipment, and generate an electromagnetic susceptibility evaluation result;

[0010] S4: Based on the electromagnetic susceptibility assessment result, by performing spatial distribution analysis on the electromagnetic data, simulating the diffusion and change of the electromagnetic field around the device, calculating the electromagnetic intensity at multiple locations, and generating an electromagnetic field mapping simulation result;

[0011] S5: Analyze the electromagnetic field mapping simulation results, evaluate the impact of the intensity change of the electromagnetic field on the performance of the power system, identify the electromagnetic field mode that causes the power equipment failure, and generate interference impact simulation analysis results;

[0012] S6: Based on the interference impact simulation analysis results, combined with the impact of shielding materials on the electromagnetic environment and real-time equipment operation data, analyze electromagnetic compatibility issues and predict risk equipment to generate interference location prediction information.

[0013] As a further solution of the present invention, the electromagnetic environment data set includes geographic coordinate information of power facilities, voltage and current measurement data, and electromagnetic field strength data records; the shielding effect analysis results include material electromagnetic shielding rate, electromagnetic absorption rate data and shielding effectiveness scores; the electromagnetic sensitivity assessment results include equipment performance attenuation rate, sensitive frequency range and interference tolerance threshold; the electromagnetic field mapping simulation results include spatial electromagnetic field distribution diagrams, magnetic field intensity level classification data and change trend analysis results; the interference impact simulation analysis results include impact degree scores, fault sensitive area locations and power system performance degradation patterns; the interference location prediction information includes fault point location prediction results, electromagnetic compatibility problem types and risk equipment lists.

[0014] As a further solution of the present invention, based on the grid operation data, the location coordinates of multiple power equipment are recorded, the current and voltage data of the equipment operation are collected, and the electromagnetic field strength data of multiple locations of the grid are measured. The steps of generating an electromagnetic environment data set are specifically as follows:

[0015] S101: Based on the power grid operation data, geographical location information of multiple power devices in the power grid is collected, and identifiers for tracking and analysis are assigned to the multiple devices to generate a geographical and identification data set;

[0016] S102: Based on the geographic and identification data sets, real-time operating currents and voltages of multiple devices in the power grid are collected in real time, and electromagnetic field strength data is collected in combination with electromagnetic field measurement equipment to generate real-time power and electromagnetic data;

[0017] S103: Based on the real-time power and electromagnetic data, time synchronization and format alignment are performed on the data, and outliers and noise are removed through data cleaning to optimize the accuracy and consistency of the data and generate an electromagnetic environment data set.

[0018] As a further solution of the present invention, based on the electromagnetic environment data set, the influence of various shielding materials on the electromagnetic field strength is analyzed, the shielding performance indicators of various materials are calculated, and the steps of generating the shielding effect analysis results are specifically as follows:

[0019] S201: Analyze the performance of multiple shielding materials in differentiated electromagnetic field strengths, including high frequency, medium frequency and low frequency, based on the electromagnetic environment data set, identify the attenuation of electromagnetic field strength in multiple materials, and generate an intensity attenuation data set;

[0020] S202: Analyze the intensity attenuation data set, calculate the shielding effectiveness of various shielding materials, including the electromagnetic transmittance and reflectivity of the materials, and generate shielding performance index data;

[0021] S203: Based on the shielding performance index data, the shielding effects of various materials are evaluated by comparing their performance in the target electromagnetic environment, and the materials are sorted according to shielding rate and applicability to generate shielding effect analysis results.

[0022] As a further solution of the present invention, according to the shielding effect analysis results, the performance attenuation of various power equipment in differentiated electromagnetic environments is compared, and the electromagnetic susceptibility of various power equipment is evaluated. The steps of generating the electromagnetic susceptibility evaluation results are specifically as follows:

[0023] S301: According to the shielding effect analysis result, collecting electromagnetic field strength data when the device uses various shielding materials, and recording performance data of the device, including power loss and operating efficiency, to generate basic data of device performance;

[0024] S302: Based on the basic data of equipment performance, calculate the correlation coefficient between electromagnetic field strength and equipment performance, analyze the impact of changes in electromagnetic field strength on equipment performance, including performance degradation and changes in failure rate, and generate equipment electromagnetic impact analysis results;

[0025] S303: Based on the electromagnetic impact analysis result of the equipment, evaluate and quantify the sensitivity of the power equipment under various electromagnetic environments, analyze the equipment failure probability under various electromagnetic interference environments, and generate an electromagnetic sensitivity evaluation result.

[0026] As a further solution of the present invention, the specific formula for calculating the correlation coefficient between the electromagnetic field strength and the equipment performance is:

[0027]

[0028] Among them, R represents the correlation coefficient, which indicates the degree of correlation between electromagnetic intensity and device performance, and w i represents the weight of the i-th data point, which varies according to the distance of the data point from the test center. i represents the electromagnetic field strength of the ith data point, P i represents the device performance of the i-th data point, EM represents the weighted average of the electromagnetic field strengths of all data points, P represents the weighted average of the device performance of all data points, and i represents the index of the data point.

[0029] As a further solution of the present invention, based on the electromagnetic susceptibility assessment result, the steps of performing spatial distribution analysis on the electromagnetic data, simulating the diffusion and change of the electromagnetic field around the device, calculating the electromagnetic intensity at multiple locations, and generating the electromagnetic field mapping simulation result are specifically as follows:

[0030] S401: Based on the electromagnetic susceptibility assessment result, measure the electromagnetic field strength around multiple devices, record the electromagnetic intensity data of multiple positions in the space, and generate an electromagnetic data measurement record;

[0031] S402: performing spatial distribution analysis on the electromagnetic field measurement data according to the electromagnetic data measurement record, analyzing and predicting the electromagnetic intensities of multiple unmeasured locations, optimizing the spatial continuity and integrity of the electromagnetic field data, and generating spatial distribution analysis data;

[0032] S403: Based on the spatial distribution analysis data, simulate the diffusion and change of the electromagnetic field around the device, calculate the electromagnetic field change trend and impact area at multiple locations, and generate an electromagnetic field mapping simulation result.

[0033] As a further solution of the present invention, the steps of analyzing the electromagnetic field mapping simulation results, evaluating the impact of the intensity change of the electromagnetic field on the performance of the power system, identifying the electromagnetic field mode that causes the failure of the power equipment, and generating the interference impact simulation analysis results are specifically as follows:

[0034] S501: Based on the electromagnetic field mapping simulation results, record the performance data of multiple regional devices in the power grid, including power loss and fault frequency, and generate regional device performance data in combination with real-time electromagnetic field strength data;

[0035] S502: Based on the regional equipment performance data, performing correlation analysis on the electromagnetic intensity and equipment performance attenuation data of the target area, analyzing the impact of the change in electromagnetic field intensity on equipment performance, and generating a performance impact assessment result;

[0036] S503: Based on the performance impact assessment result, identify the electromagnetic field pattern that causes the power equipment failure, including periodic interference waves and abnormal electromagnetic pulses, and generate interference impact simulation analysis results.

[0037] As a further solution of the present invention, according to the interference impact simulation analysis results, combined with the impact of shielding materials on the electromagnetic environment and real-time equipment operation data, the electromagnetic compatibility problems are analyzed and risk equipment is predicted, and the steps of generating interference location prediction information are specifically as follows:

[0038] S601: using the interference impact simulation analysis result, analyzing abnormal operation data of the equipment, including abnormal current or voltage fluctuations, and comparing it with known interference patterns, identifying interference types, and generating interference type identification records;

[0039] S602: Based on the interference type identification record, combined with the location and maintenance record information of the device, analyze and predict the location of the interference source, evaluate the range of the affected devices, and generate an interference range analysis result;

[0040] S603: Based on the interference range analysis result, analyze and predict electromagnetic compatibility problems and equipment failures, including estimated failure time and impact degree, and generate interference location prediction information.

[0041] An electromagnetic interference analysis and evaluation system for an electric power application environment, the electromagnetic interference analysis and evaluation system for an electric power application environment is used to perform the above-mentioned electromagnetic interference analysis and evaluation method for an electric power application environment, the system comprising:

[0042] The power grid data acquisition module records the location coordinates and real-time operation data of multiple power equipment based on the power grid operation data, measures the electromagnetic field strength at multiple locations, analyzes the electromagnetic impact of various shielding materials, calculates shielding performance indicators, and generates shielding material evaluation information;

[0043] The performance degradation analysis module uses the shielding material evaluation information to compare and analyze the performance degradation of multiple power devices in differentiated electromagnetic environments, identify the impact of electromagnetic interference on the devices, and generate equipment anti-interference capability information;

[0044] The magnetic field distribution simulation module uses the anti-interference capability information of the device to map the electromagnetic field distribution in the power grid, simulate the diffusion and change of the electromagnetic field around multiple devices, and generate electromagnetic distribution mapping information;

[0045] The electromagnetic impact assessment module analyzes the impact of changes in the electromagnetic field on the performance of the power system based on the electromagnetic distribution mapping information, identifies the electromagnetic field pattern that causes equipment failure, and generates interference degree assessment data;

[0046] The interference source location module uses the interference level assessment data in combination with real-time equipment operation data to analyze electromagnetic compatibility issues, identify interference sources and faulty equipment locations, and generate interference location prediction information.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by recording the operating data and electromagnetic field strength of power equipment, the ability to understand the electromagnetic environment is enhanced, and combined with the analysis of shielding materials, the shielding effects of various materials are accurately evaluated to achieve optimization of power equipment design and operation. By evaluating the electromagnetic sensitivity of the equipment, the dynamic distribution of the electromagnetic field is simulated and predicted, and the electromagnetic field pattern that causes failures is identified, the risk equipment is combined with real-time monitoring and data analysis and prediction, thereby improving the stability and safety of the power system, enhancing the interference capability, and improving the operating efficiency and functional safety of power facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0050] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0051] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0052] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0053] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0054] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0055] Figure 7 This is a detailed flow chart of S6 of the present invention;

[0056] Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0059] See also Figure 1 The present invention provides a technical solution, a method for analyzing and evaluating electromagnetic interference in an electric power application environment, comprising the following steps:

[0060] S1: Based on the grid operation data, the location coordinates of multiple power equipment are recorded, the current and voltage data of the equipment operation are collected, and the electromagnetic field strength data at multiple locations of the grid are measured to generate an electromagnetic environment data set;

[0061] S2: Based on the electromagnetic environment data set, analyze the impact of various shielding materials on the electromagnetic field strength, calculate the shielding performance indicators of various materials, and generate shielding effect analysis results;

[0062] S3: Based on the shielding effect analysis results, compare the performance attenuation of various power equipment in differentiated electromagnetic environments, evaluate the electromagnetic susceptibility of various power equipment, and generate electromagnetic susceptibility evaluation results;

[0063] S4: Based on the electromagnetic susceptibility assessment results, the electromagnetic data is spatially analyzed to simulate the diffusion and change of the electromagnetic field around the device, the electromagnetic intensity at multiple locations is calculated, and the electromagnetic field mapping simulation results are generated;

[0064] S5: Analyze the electromagnetic field mapping simulation results, evaluate the impact of electromagnetic field intensity changes on power system performance, identify electromagnetic field patterns that cause power equipment failures, and generate interference impact simulation analysis results;

[0065] S6: Based on the interference impact simulation analysis results, combined with the impact of shielding materials on the electromagnetic environment and real-time equipment operation data, analyze electromagnetic compatibility issues and predict risk equipment to generate interference location prediction information.

[0066] The electromagnetic environment data set includes the geographic coordinate information of power facilities, voltage and current measurement data, and electromagnetic field strength data records. The shielding effect analysis results include the material electromagnetic shielding rate, electromagnetic absorption rate data and shielding effectiveness score. The electromagnetic sensitivity assessment results include the performance attenuation rate of the equipment, sensitive frequency range and interference tolerance threshold. The electromagnetic field mapping simulation results include the spatial electromagnetic field distribution map, magnetic field intensity level classification data and change trend analysis results. The interference impact simulation analysis results include the impact degree score, fault sensitive area location and power system performance degradation mode. The interference location prediction information includes the fault point location prediction results, electromagnetic compatibility problem type and risk equipment list.

[0067] See also Figure 2 Based on the grid operation data, the location coordinates of multiple power equipment are recorded, the current and voltage data of the equipment operation are collected, and the electromagnetic field strength data at multiple locations of the grid are measured. The specific steps for generating the electromagnetic environment data set are as follows:

[0068] S101: Based on the power grid operation data, geographical location information of multiple power devices in the power grid is collected, and identifiers for tracking and analysis are assigned to the multiple devices to generate a geographical and identification data set;

[0069] In sub-step S101, based on the initial data of power grid operation, the geographic location information of multiple power devices is collected and confirmed, and an identification system is established for the devices by assigning identifiers to generate a geographic and identification data set. The data set records the location of each device and the corresponding identifier, providing basic data for subsequent tracking and analysis. The determination of the geographic location takes into account the regional distribution and environmental characteristics of the power grid where the device is located to ensure the geographic accuracy of the data and the uniqueness of the identification. The generation of each identifier is optimized based on the functional category and operating status of the device so that relevant data can be quickly and accurately called in subsequent operations. Through data integration and analysis, the operating efficiency and safety management of the power grid are optimized.

[0070] S102: Based on the geographic and identification data sets, real-time operating current and voltage of multiple devices in the power grid are collected in real time, and electromagnetic field strength data is collected in combination with electromagnetic field measurement equipment to generate real-time power and electromagnetic data;

[0071] In sub-step S102, based on geographic and identification data sets, the operating current and voltage of multiple devices in the power grid are collected, and the electromagnetic field strength data is collected to generate real-time power and electromagnetic data. For the collection of real-time current and voltage, the system reads data through the installed smart meters. The current and voltage values ​​of each device are recorded at a frequency of once per second. The electromagnetic field strength is synchronously measured at the same frequency by the equipped electromagnetic field monitoring instrument. The data collection process ensures the timeliness and accuracy of the information. The data is ensured to be secure through encrypted transmission. The data is then uploaded to the central server in real time for preliminary formatting processing to provide support for subsequent analysis and decision-making.

[0072] S103: Based on the real-time power and electromagnetic data, the data is synchronized in time and format aligned, and outliers and noise are removed through data cleaning to optimize the accuracy and consistency of the data and generate an electromagnetic environment data set;

[0073] In sub-step S103, time synchronization and format alignment are performed based on real-time power and electromagnetic data. Outliers and noise in the data are removed through data cleaning technology, including outlier detection, noise filtering and data consistency verification, to optimize the quality of the data set and meet the needs of subsequent analysis. Time synchronization ensures that all data points are aligned consistently on the time axis, and format alignment ensures that data remains standardized during storage and processing. The optimized data not only improves the reliability of information, but also enhances the accuracy of data analysis, providing strong data support for power grid management and fault prevention. The accurate generation of electromagnetic environment data sets is a key link in ensuring safe and efficient operation of the power grid.

[0074] See also Figure 3 , based on the electromagnetic environment data set, analyze the impact of various shielding materials on the electromagnetic field strength, calculate the shielding performance indicators of various materials, and generate the shielding effect analysis results in the following steps:

[0075] S201: Based on the electromagnetic environment data set, analyze the performance of various shielding materials in differentiated electromagnetic field strengths, including high frequency, medium frequency and low frequency, identify the attenuation of electromagnetic field strength in various materials, and generate an intensity attenuation data set;

[0076] In sub-step S201, based on the electromagnetic environment data set, the performance of various shielding materials under different electromagnetic field intensities is evaluated, and the various physical properties of the materials, such as magnetic permeability and electrical conductivity, are taken into consideration. By quantitatively measuring the attenuation of the electromagnetic field in various materials, an intensity attenuation data set is generated. The data set records the attenuation effect of the materials at different frequencies. The process uses experimental settings and data recording to ensure the reliability and repeatability of the results. The selection of various shielding materials is based on their performance at different frequencies, which provides a scientific basis for the subsequent in-depth analysis of shielding effectiveness and the optimal selection of shielding materials. The analysis of attenuation data is used to understand the electromagnetic interaction mechanism of materials and provide a data basis for materials engineering.

[0077] S202: Analyze the intensity attenuation data set, calculate the shielding effectiveness of various shielding materials, including the electromagnetic transmittance and reflectivity of the materials, and generate shielding performance index data;

[0078] In the above content, the shielding effectiveness of various shielding materials is calculated according to the formula Calculate the shielding effectiveness S;

[0079] In the formula, S represents shielding effectiveness, P in represents the incident electromagnetic power, P out Represents the transmitted power;

[0080] Detailed explanation of the formula and the process of formula calculation and derivation:

[0081] Assume a shielding material where the incident power P in is 1000 watts, through power P out For 10 watts, the shielding effectiveness is calculated using the formula:

[0082]

[0083] The result S=20 decibels shows that the material has good shielding effect and can significantly reduce the transfer of electromagnetic energy. The analysis is used to evaluate the performance of the material in practical applications.

[0084] S203: Based on the shielding performance index data, the shielding effects of various materials are evaluated by comparing their performance in the target electromagnetic environment, and the materials are sorted according to the shielding rate and applicability to generate shielding effect analysis results;

[0085] In sub-step S203, based on the shielding performance index data, the shielding performance of various materials in different electromagnetic environments is compared and analyzed, and the shielding effects of different materials are measured and analyzed, including the calculation of shielding rate and the evaluation of material applicability. The materials are systematically sorted, and the shielding effect analysis results are generated to clarify the performance advantages and disadvantages of various materials in the actual electromagnetic environment, providing a quantitative basis for material selection and engineering design. The evaluation of shielding effect takes into account various factors, including material cost, processing difficulty and environmental adaptability, providing a comprehensive analysis for material application decisions, ensuring that the selected material can provide the best shielding effect in a specific electromagnetic environment, and achieve enhanced electromagnetic compatibility and safety.

[0086] See also Figure 4 According to the shielding effect analysis results, the performance attenuation of various power equipment in different electromagnetic environments is compared, and the electromagnetic susceptibility of various power equipment is evaluated. The specific steps for generating the electromagnetic susceptibility evaluation results are as follows:

[0087] S301: According to the shielding effect analysis results, collect electromagnetic field strength data when the equipment uses various shielding materials, and record the performance data of the equipment, including power loss and operating efficiency, to generate basic equipment performance data;

[0088] In sub-step S301, based on the shielding effect analysis results, the electromagnetic field strength data is collected when the equipment uses a variety of shielding materials, the power loss and operating efficiency are recorded, and the basic data of equipment performance is generated, including the performance evaluation of the equipment in actual operation, to ensure the accuracy and practicality of the data. The collected electromagnetic field strength data shows the electromagnetic shielding effect of different materials under the same working environment. The power loss data provides the actual performance of material efficiency in energy conversion. The operating efficiency record reflects the performance stability of the equipment under the influence of different shielding materials. The integration and analysis of the data provides reliable baseline information for subsequent performance optimization and failure rate analysis. The recording and analysis of equipment performance is the key to ensuring that the equipment can maintain the optimal operating state under various electromagnetic environments.

[0089] S302: Based on the basic data of equipment performance, the correlation coefficient between the electromagnetic field strength and the equipment performance is calculated, and the impact of the change of the electromagnetic field strength on the equipment performance is analyzed, including the performance attenuation and the change of the failure rate, and the equipment electromagnetic impact analysis result is generated;

[0090] The specific formula for calculating the correlation coefficient between electromagnetic field strength and equipment performance is:

[0091]

[0092] Among them, R represents the correlation coefficient, which indicates the degree of correlation between electromagnetic intensity and device performance, and w irepresents the weight of the i-th data point, which varies according to the distance of the data point from the test center. i represents the electromagnetic field strength of the ith data point, P i represents the device performance of the i-th data point, EM represents the weighted average of the electromagnetic field strengths of all data points, P represents the weighted average of the device performance of all data points, and i represents the index of the data point.

[0093] formula:

[0094]

[0095] Detailed explanation of the formula and the process of formula calculation and derivation:

[0096] This formula is used to calculate the correlation coefficient R between the electromagnetic field strength and the equipment performance. The result is used to evaluate the impact of electromagnetic field changes on the operating performance of the equipment.

[0097] Parameter meaning and setting value:

[0098] w i represents the weight of the i-th data point. Assume that the weights of data points with distances of 5m, 10m, and 15m are It is used to reflect that the data close to the measurement center has a greater impact on the results.

[0099] EM i represents the electromagnetic field strength of the i-th data point. Assuming the measured data are 100μT, 150μT, and 120μT,

[0100] P i represents the equipment performance index of the ith data point. Assume that the equipment performance indexes are 90%, 85%, and 88% respectively. EM and P are the weighted averages of electromagnetic field intensity and equipment performance, respectively.

[0101] Substitute the parameters into the formula for calculation:

[0102] Calculate w i value:

[0103]

[0104] Calculate the weighted average EM and P:

[0105]

[0106] Calculate the correlation coefficient R:

[0107]

[0108] The result R≈-1 indicates that there is a negative correlation between the increase in electromagnetic intensity and the decrease in device performance, reflecting that after considering the distance and impact weight, the increase in electromagnetic intensity will lead to the decrease in the performance of the target device.

[0109] S303: Based on the equipment electromagnetic impact analysis results, evaluate and quantify the sensitivity of power equipment in various electromagnetic environments, analyze the equipment failure probability in various electromagnetic interference environments, and generate electromagnetic sensitivity assessment results;

[0110] In sub-step S303, based on the results of the equipment electromagnetic impact analysis, the sensitivity of the power equipment in various electromagnetic environments is calculated, the probability of equipment failure in different electromagnetic interference environments is analyzed, the performance of the equipment under different electromagnetic conditions is recorded and compared, and statistical and probability analysis is used to analyze the impact of electromagnetic fields of different intensities on the equipment failure rate. The failure sensitivity of the equipment is evaluated, providing key data for equipment design and improvement, ensuring the stable operation and long-term performance of the equipment in complex electromagnetic environments, and generating electromagnetic sensitivity evaluation results.

[0111] See also Figure 5 Based on the results of electromagnetic susceptibility assessment, the spatial distribution of electromagnetic data is analyzed to simulate the diffusion and change of the electromagnetic field around the equipment, and the electromagnetic intensity at multiple locations is calculated. The specific steps to generate the electromagnetic field mapping simulation results are as follows:

[0112] S401: Based on the electromagnetic susceptibility assessment result, measure the electromagnetic field strength around multiple devices, record the electromagnetic intensity data of multiple positions in the space, and generate an electromagnetic data measurement record;

[0113] In sub-step S401, based on the electromagnetic sensitivity assessment results, the electromagnetic field strength around multiple devices is measured. By collecting electromagnetic intensity data at different spatial locations, the electromagnetic field strength at each measurement point is recorded to ensure the accuracy and representativeness of the data. Electromagnetic field measuring instruments are used to cover different spatial areas around the equipment to ensure that the measurement data can fully reflect the electromagnetic environment around the equipment. Each point in the data record is marked according to the predetermined geographic coordinates to ensure accurate docking of subsequent data processing. The measurement provides basic data for spatial distribution analysis. The generated electromagnetic data measurement records provide basic data for evaluating the impact of electromagnetic fields on equipment, which is crucial to ensuring the safe operation of equipment in various environments.

[0114] S402: performing spatial distribution analysis on electromagnetic field measurement data according to electromagnetic data measurement records, analyzing and predicting electromagnetic intensities of multiple unmeasured locations, optimizing spatial continuity and integrity of electromagnetic field data, and generating spatial distribution analysis data;

[0115] In sub-step S402, based on the electromagnetic data measurement records, statistical methods and geographic information system technology are used to perform spatial distribution analysis of the electromagnetic field measurement data, predict the electromagnetic intensity of unmeasured locations, optimize the spatial continuity and integrity of the electromagnetic field data, and use the Kriging interpolation method and the inverse distance weighted method to estimate the electromagnetic field intensity of unknown points to ensure the accuracy and completeness of the spatial distribution of the data. The results of the spatial distribution analysis help understand the behavior and distribution patterns of electromagnetic fields in complex environments, provide a scientific basis for the management and control of electromagnetic fields, and the generated spatial distribution analysis data provides an important reference for equipment design and placement.

[0116] S403: Based on the spatial distribution analysis data, simulate the diffusion and change of the electromagnetic field around the device, calculate the electromagnetic field change trend and impact area at multiple locations, and generate an electromagnetic field mapping simulation result;

[0117] In the above content, the diffusion and change of the electromagnetic field are simulated according to the formula E(x,y,z,t)=E0e -αr cos(ωt-βr) calculates the changing trend E of the electromagnetic field;

[0118] Where E represents the electromagnetic field intensity, x, y, and z represent spatial coordinates, t represents time, E0 is the initial electromagnetic field intensity, α and β are the attenuation coefficient and phase constant, r is the distance from the source point to the observation point, and ω is the angular frequency;

[0119] Detailed explanation of the formula and the process of formula calculation and derivation:

[0120] Assuming the initial electromagnetic field strength E0 is 5V / m, the distance from the source is 3 meters, and the time is 1 second, calculate the electromagnetic field strength:

[0121] E(3,3,0,1)=5e -0.3×3 cos(60×1-1×3)≈3.69

[0122] The result E≈3.69V / m shows that the electromagnetic field strength will decay with increasing distance, and the waveform will change with time and distance. The simulation results are used to design more effective shielding measures and electromagnetic interference management strategies to ensure that the equipment maintains stability and efficiency in an electromagnetically variable environment.

[0123] See also Figure 6 , analyze the electromagnetic field mapping simulation results, evaluate the impact of electromagnetic field intensity changes on power system performance, identify electromagnetic field patterns that cause power equipment failures, and generate interference impact simulation analysis results. The specific steps are:

[0124] S501: Based on the electromagnetic field mapping simulation results, the performance data of multiple regional devices in the power grid are recorded, including power loss and fault frequency, and combined with the real-time electromagnetic field strength data to generate regional device performance data;

[0125] In sub-step S501, based on the electromagnetic field mapping simulation results, the power loss and fault frequency data of multiple devices in the area are collected and recorded. The real-time electromagnetic field strength data is used to generate regional equipment performance data. The data set integrates the correlation information between electromagnetic field strength and equipment performance, providing real-time and accurate input for subsequent analysis. The records of power loss and fault frequency reflect the performance of the equipment under different electromagnetic conditions. The analysis of the data helps to understand the impact of the electromagnetic environment on equipment performance, ensure that the collection of equipment performance data covers the key areas of the power grid, and ensure the accuracy and timeliness of the data through monitoring tools. It provides a scientific basis for performance evaluation and fault diagnosis, and guides the operation and maintenance of the power grid and the formulation of optimization strategies.

[0126] S502: Based on the regional equipment performance data, correlation analysis is performed on the electromagnetic intensity and equipment performance attenuation data of the target area, the impact of the change in electromagnetic field intensity on equipment performance is analyzed, and a performance impact assessment result is generated;

[0127] In the above content, the correlation analysis between electromagnetic intensity and equipment performance attenuation data is carried out, and the equipment performance attenuation is calculated according to the formula ΔP = k·ΔE;

[0128] In the formula, ΔP represents the attenuation of equipment performance, k is the attenuation sensitivity coefficient, and ΔE is the change in electromagnetic field strength;

[0129] Detailed explanation of the formula and the process of formula calculation and derivation:

[0130] Consider the power performance of a group of devices in real-time monitoring data before and after the electromagnetic field strength changes. Assume that the electromagnetic field strength changes from 10V / m to 15V / m, an increase of 5V / m, and the device performance drops from 95% efficiency to 90% efficiency, with a performance attenuation of 5%. Assume that the sensitivity coefficient k is 1% attenuation / every 1V / m increase, and calculate the attenuation:

[0131] ΔP=1%×5=5%

[0132] The results show that when the electromagnetic field strength increases by 5V / m, the equipment performance does decrease by 5%, which is consistent with the prediction model. The analysis is used to understand the specific relationship between electromagnetic fields and equipment performance, providing a basis for taking appropriate protective measures.

[0133] S503: Based on the performance impact assessment results, identifying the electromagnetic field pattern that causes the power equipment failure, including periodic interference waves and abnormal electromagnetic pulses, and generating interference impact simulation analysis results;

[0134] In sub-step S503, based on the performance impact assessment results, by analyzing the association between specific patterns of electromagnetic fields and equipment failures, the impact of different types of electromagnetic interference on equipment operation is analyzed, the periodic interference waves and abnormal electromagnetic pulses that cause equipment failures are identified and recorded, and interference impact simulation analysis results are generated. Based on real-time and historical data, data processing and simulation technology are used to simulate the propagation and impact mechanism of electromagnetic interference, providing a scientific basis for formulating electromagnetic compatibility measures and fault prevention strategies, ensuring the stable operation of power grid equipment in complex electromagnetic environments, and enhancing the reliability and safety of the system.

[0135] See also Figure 7 ,According to the interference impact simulation analysis results, combined with the impact of shielding materials on the electromagnetic environment and real-time equipment operation data, electromagnetic compatibility issues are analyzed and risk equipment is predicted. The specific steps for generating interference location prediction information are as follows:

[0136] S601: using the interference impact simulation analysis results, analyzing the abnormal operation data of the equipment, including abnormal current or voltage fluctuations, and comparing it with known interference patterns, identifying the interference type, and generating an interference type identification record;

[0137] In sub-step S601, the interference impact simulation analysis results are used to analyze the collected voltage and current data to analyze the abnormal current or voltage fluctuations during equipment operation, compare different interference patterns, identify the abnormal signal type that matches the known interference pattern, and use Fourier transform and pattern recognition algorithms to ensure accurate identification of the interference type. The generated interference type identification record provides key information for subsequent interference source location and fault diagnosis, ensuring timely detection and handling of equipment abnormalities caused by electromagnetic interference.

[0138] S602: Based on the interference type identification record, combined with the location and maintenance record information of the equipment, analyze and predict the location of the interference source, evaluate the range of the affected equipment, and generate interference range analysis results;

[0139] In the above content, combined with the location and maintenance record information of the equipment, the location of the interference source is analyzed and predicted according to the formula Calculate the distance d between the interference source and the device;

[0140] Where (x1, y1) represents the coordinates of the device location, and (x2, y2) represents the predicted coordinates of the interference source;

[0141] Detailed explanation of the formula and the process of formula calculation and derivation:

[0142] Assume that the device is located at coordinates (10, 20) and the interference source is located at coordinates (30, 40). The distance between the interference source and the device is calculated using the formula:

[0143]

[0144] The results are used to assess the scope of affected equipment and provide guidance on repair and fault response strategies. Identifying the location of the interference source helps to more effectively implement targeted interference mitigation measures.

[0145] S603: Based on the interference range analysis results, analyze and predict electromagnetic compatibility problems and equipment failures, including estimated failure time and impact degree, and generate interference location prediction information;

[0146] In sub-step S603, based on the interference range analysis results, combined with the location of the interference source and historical fault data, electromagnetic compatibility issues are evaluated, electromagnetic compatibility issues and equipment failures are predicted, including the expected failure time and impact, and interference location prediction information is generated. The prediction information includes the estimated time range for the failure and the severity of the failure. The information is critical for formulating preventive measures and preparing maintenance resources, ensuring the stable operation of power equipment in a complex electromagnetic environment, reducing unexpected downtime and maintenance costs, and improving the overall reliability and efficiency of the system.

[0147] See also Figure 8 , an electromagnetic interference analysis and evaluation system for an electric power application environment, the electromagnetic interference analysis and evaluation system for an electric power application environment is used to perform the above-mentioned electromagnetic interference analysis and evaluation method for an electric power application environment, and the system comprises:

[0148] The power grid data acquisition module records the location coordinates and real-time operation data of multiple power equipment based on the power grid operation data, measures the electromagnetic field strength at multiple locations, analyzes the electromagnetic impact of various shielding materials, calculates shielding performance indicators, and generates shielding material evaluation information;

[0149] The performance degradation analysis module uses shielding material evaluation information to compare and analyze the performance degradation of multiple power devices in differentiated electromagnetic environments, identify the impact of electromagnetic interference on the equipment, and generate equipment anti-interference capability information;

[0150] The magnetic field distribution simulation module uses the device anti-interference capability information to map the electromagnetic field distribution in the power grid, simulate the diffusion and changes of the electromagnetic field around multiple devices, and generate electromagnetic distribution mapping information;

[0151] The electromagnetic impact assessment module analyzes the impact of electromagnetic field changes on the performance of the power system based on electromagnetic distribution mapping information, identifies electromagnetic field patterns that cause equipment failures, and generates interference degree assessment data;

[0152] The interference source location module uses interference level assessment data combined with real-time equipment operation data to analyze electromagnetic compatibility issues, identify interference sources and faulty equipment locations, and generate interference location prediction information.

[0153] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for analyzing and evaluating electromagnetic interference in an electric power application environment, characterized in that: The following steps are involved: Based on the grid operation data, the location coordinates of multiple power equipment are recorded, the current and voltage data of the equipment operation are collected, and the electromagnetic field strength data at multiple locations of the grid are measured to generate an electromagnetic environment data set; Based on the electromagnetic environment data set, analyzing the influence of various shielding materials on the electromagnetic field strength, calculating the shielding performance indicators of various materials, and generating shielding effect analysis results; According to the shielding effect analysis results, the performance attenuation of various power equipment in different electromagnetic environments is compared, the electromagnetic susceptibility of various power equipment is evaluated, and an electromagnetic susceptibility evaluation result is generated; Based on the electromagnetic susceptibility assessment results, by performing spatial distribution analysis on electromagnetic data, simulating the diffusion and change of the electromagnetic field around the device, calculating the electromagnetic intensity at multiple locations, and generating electromagnetic field mapping simulation results; Analyze the electromagnetic field mapping simulation results, evaluate the impact of changes in electromagnetic field intensity on power system performance, identify electromagnetic field patterns that cause power equipment failures, and generate interference impact simulation analysis results; According to the interference impact simulation analysis results, combined with the impact of shielding materials on the electromagnetic environment and real-time equipment operation data, electromagnetic compatibility issues are analyzed and risk equipment is predicted, and interference location prediction information is generated.

2. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 1, characterized in that: The electromagnetic environment data set includes the geographic coordinate information of the power facilities, voltage and current measurement data, and electromagnetic field strength data records; the shielding effect analysis results include the material electromagnetic shielding rate, electromagnetic absorption rate data and shielding effectiveness score; the electromagnetic sensitivity assessment results include the performance attenuation rate of the equipment, the sensitive frequency range and the interference tolerance threshold; the electromagnetic field mapping simulation results include the spatial electromagnetic field distribution map, the magnetic field strength level classification data and the change trend analysis results; the interference impact simulation analysis results include the impact degree score, the fault sensitive area location and the power system performance degradation mode; the interference location prediction information includes the fault point location prediction result, the electromagnetic compatibility problem type and the risk equipment list.

3. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 1, characterized in that: Based on the grid operation data, the location coordinates of multiple power equipment are recorded, the current and voltage data of the equipment operation are collected, and the electromagnetic field strength data at multiple locations of the grid are measured. The specific steps for generating the electromagnetic environment data set are as follows: Based on the grid operation data, the geographic location information of multiple power devices in the grid is collected, and identifiers for tracking and analysis are assigned to multiple devices to generate geographic and identification data sets; Based on the geographic and identification data sets, real-time operating currents and voltages of multiple devices in the power grid are collected in real time, and electromagnetic field strength data is collected in combination with electromagnetic field measurement equipment to generate real-time power and electromagnetic data; Based on the real-time power and electromagnetic data, the data is time synchronized and format aligned, and outliers and noise are removed through data cleaning to optimize the accuracy and consistency of the data and generate an electromagnetic environment data set.

4. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 1, characterized in that: Based on the electromagnetic environment data set, the steps of analyzing the influence of various shielding materials on the electromagnetic field strength, calculating the shielding performance indicators of various materials, and generating the shielding effect analysis results are specifically as follows: Analyzing the performance of various shielding materials in different electromagnetic field strengths, including high frequency, medium frequency and low frequency, based on the electromagnetic environment data set, identifying the attenuation of electromagnetic field strength in various materials, and generating an intensity attenuation data set; Analyzing the intensity attenuation data set, calculating the shielding effectiveness of various shielding materials, including the electromagnetic transmittance and reflectivity of the materials, and generating shielding performance index data; Based on the shielding performance index data, the shielding effects of various materials are evaluated by comparing their performance in the target electromagnetic environment, and the materials are ranked according to shielding rate and applicability to generate shielding effect analysis results.

5. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 1, characterized in that: According to the shielding effect analysis results, the performance attenuation of various power equipment in different electromagnetic environments is compared, and the electromagnetic susceptibility of various power equipment is evaluated. The steps of generating the electromagnetic susceptibility evaluation results are specifically as follows: According to the shielding effect analysis results, the electromagnetic field strength data of the equipment when using various shielding materials is collected, and the performance data of the equipment, including power loss and operating efficiency, is recorded to generate basic equipment performance data; Based on the basic data of equipment performance, the correlation coefficient between electromagnetic field strength and equipment performance is calculated, the impact of changes in electromagnetic field strength on equipment performance is analyzed, including performance attenuation and changes in failure rate, and equipment electromagnetic impact analysis results are generated; Based on the electromagnetic impact analysis results of the equipment, the sensitivity of the power equipment in various electromagnetic environments is evaluated and quantified, the probability of equipment failure in various electromagnetic interference environments is analyzed, and the electromagnetic sensitivity evaluation results are generated.

6. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 5, characterized in that: The specific formula for calculating the correlation coefficient between electromagnetic field strength and equipment performance is: Among them, R represents the correlation coefficient, which indicates the degree of correlation between electromagnetic intensity and device performance, and w i represents the weight of the i-th data point, which varies according to the distance of the data point from the test center. i represents the electromagnetic field strength of the ith data point, P i represents the device performance of the i-th data point, EM represents the weighted average of the electromagnetic field strengths of all data points, P represents the weighted average of the device performance of all data points, and i represents the index of the data point.

7. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 1, characterized in that: Based on the electromagnetic susceptibility assessment results, the steps of performing spatial distribution analysis on electromagnetic data, simulating the diffusion and change of the electromagnetic field around the device, calculating the electromagnetic intensity at multiple locations, and generating the electromagnetic field mapping simulation results are as follows: Based on the electromagnetic susceptibility assessment results, the electromagnetic field strength around multiple devices is measured, the electromagnetic intensity data at multiple locations in the space are recorded, and an electromagnetic data measurement record is generated; According to the electromagnetic data measurement records, performing spatial distribution analysis on the electromagnetic field measurement data, analyzing and predicting the electromagnetic intensities of multiple unmeasured locations, optimizing the spatial continuity and integrity of the electromagnetic field data, and generating spatial distribution analysis data; Based on the spatial distribution analysis data, the diffusion and change of the electromagnetic field around the device are simulated, the electromagnetic field change trend and the affected area at multiple locations are calculated, and the electromagnetic field mapping simulation result is generated.

8. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 1, characterized in that: The steps of analyzing the electromagnetic field mapping simulation results, evaluating the impact of the intensity change of the electromagnetic field on the performance of the power system, identifying the electromagnetic field mode that causes the failure of the power equipment, and generating the interference impact simulation analysis results are specifically as follows: Based on the electromagnetic field mapping simulation results, the performance data of multiple regional devices in the power grid are recorded, including power loss and fault frequency, and combined with the real-time electromagnetic field strength data to generate regional device performance data; Based on the regional equipment performance data, correlation analysis is performed on the electromagnetic intensity and equipment performance attenuation data of the target area, the impact of changes in electromagnetic field intensity on equipment performance is analyzed, and a performance impact assessment result is generated; Based on the performance impact assessment results, the electromagnetic field patterns that cause power equipment failures, including periodic interference waves and abnormal electromagnetic pulses, are identified, and interference impact simulation analysis results are generated.

9. The method for analyzing and evaluating electromagnetic interference in an electric power application environment according to claim 1, characterized in that: According to the interference impact simulation analysis results, combined with the impact of shielding materials on the electromagnetic environment and real-time equipment operation data, the electromagnetic compatibility issues are analyzed and risk equipment is predicted, and the steps of generating interference location prediction information are specifically as follows: Using the interference impact simulation analysis results, analyzing abnormal operation data of the equipment, including abnormal current or voltage fluctuations, and comparing with known interference patterns, identifying interference types, and generating interference type identification records; Based on the interference type identification record, combined with the location and maintenance record information of the equipment, analyze and predict the location of the interference source, evaluate the range of the affected equipment, and generate interference range analysis results; Based on the interference range analysis results, electromagnetic compatibility problems and equipment failures are analyzed and predicted, including the estimated failure time and impact degree, and interference location prediction information is generated.

10. The electromagnetic interference analysis and evaluation system for power application environment is characterized by: According to the method for analyzing and evaluating electromagnetic interference in an electric power application environment according to any one of claims 1 to 9, the system comprises: The power grid data acquisition module records the location coordinates and real-time operation data of multiple power equipment based on the power grid operation data, measures the electromagnetic field strength at multiple locations, analyzes the electromagnetic impact of various shielding materials, calculates shielding performance indicators, and generates shielding material evaluation information; The performance degradation analysis module uses the shielding material evaluation information to compare and analyze the performance degradation of multiple power devices in differentiated electromagnetic environments, identify the impact of electromagnetic interference on the devices, and generate equipment anti-interference capability information; The magnetic field distribution simulation module uses the anti-interference capability information of the device to map the electromagnetic field distribution in the power grid, simulate the diffusion and change of the electromagnetic field around multiple devices, and generate electromagnetic distribution mapping information; The electromagnetic impact assessment module analyzes the impact of changes in the electromagnetic field on the performance of the power system based on the electromagnetic distribution mapping information, identifies the electromagnetic field pattern that causes equipment failure, and generates interference degree assessment data; The interference source location module uses the interference level assessment data in combination with real-time equipment operation data to analyze electromagnetic compatibility issues, identify interference sources and faulty equipment locations, and generate interference location prediction information.

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