Methods, devices, and computer storage media for analyzing power test data

Abstract

This invention discloses a method, apparatus, and computer storage medium for analyzing power test data. The method includes: acquiring target test data corresponding to a target power device according to a standard test data model; determining whether the health status of the target power device is abnormal based on the target test data, a preset test data threshold, and historical test data; if the health status of the target power device is determined to be abnormal, generating a health status analysis result, and generating a fault report corresponding to the target power device based on the health status analysis result. Therefore, implementing this invention can improve the convenience and standardization of electrical test data recording and analysis, thereby improving the accuracy and reliability of power equipment condition evaluation.

Description

Technical Field

[0001] This invention relates to the field of power data processing technology, and in particular to a method, apparatus, and computer storage medium for analyzing power test data. Background Technology

[0002] In the operation and maintenance management of power systems, high-voltage electrical tests are required to detect and assess the insulation performance of power equipment to ensure the safe operation of the power system. Typically, testing personnel use various testing equipment to check the insulation performance and technical specifications of power equipment and record and analyze the electrical test data. However, current methods for recording and analyzing electrical test data suffer from problems such as difficulty in preserving data logbooks, non-standardized data recording, cumbersome data analysis, and inconvenient data retrieval, thus hindering accurate and reliable evaluation of the power equipment's condition. Therefore, existing technologies have certain problems that urgently need to be addressed. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method, device and computer storage medium for analyzing power test data, which can realize standardized test data definition according to standard test data model, and analyze and apply the standardized test data, thereby improving the convenience and standardization of electrical test data recording and analysis, and thus improving the accuracy and reliability of power equipment condition evaluation.

[0004] To address the aforementioned technical problems, the first aspect of this invention discloses a method for analyzing power test data, the method comprising:

[0005] The target test data corresponding to the target power equipment is obtained according to the standard test data model, wherein the target test data is the test data generated by the test equipment to test the target power equipment;

[0006] Based on the target test data, preset test data thresholds and historical test data corresponding to the target power equipment, determine whether the equipment health status of the target power equipment is abnormal;

[0007] If the health status of the target power equipment is determined to be abnormal, a health status analysis result is generated, and a fault report corresponding to the target power equipment is generated based on the health status analysis result.

[0008] As an optional implementation, in the first aspect of the present invention, determining whether the health status of the target power equipment is abnormal based on the target test data corresponding to the target power equipment, a preset test data threshold, and historical test data includes:

[0009] Obtain the current environmental data corresponding to the target power equipment, wherein the current environmental data is the environmental data collected by the test equipment when it conducts the test on the target power equipment;

[0010] Determine the preset test data threshold corresponding to the current environmental data, and calculate the target test data based on the preset test data threshold to obtain the calculation result;

[0011] Based on the historical test data, it is determined whether the calculation result deviates from the preset floating range. If it is determined that the calculation result deviates from the preset floating range, the health status of the target power equipment is determined to be abnormal.

[0012] As an optional implementation, in the first aspect of the present invention, the step of calculating the target test data based on the preset test data threshold to obtain the calculation result includes:

[0013] Determine whether the target test data corresponding to the target power equipment exceeds the preset test data threshold;

[0014] If it is determined that the target test data corresponding to the target power equipment does not exceed the preset test data threshold, then the error value between the target test data and the preset test data threshold is calculated, and the error value is determined as the calculation result.

[0015] As an optional implementation, in the first aspect of the present invention, all target historical data are determined from all historical test data based on the current environmental data, wherein the difference between the historical environmental data corresponding to the target historical data and the current environmental data does not exceed a preset value;

[0016] Based on all the target historical data, a test data threshold range corresponding to the target environmental state is determined, and a preset test data threshold is determined from the test data threshold range according to a preset method, wherein the target environmental state is determined based on the historical environmental data corresponding to the target historical data.

[0017] As an optional implementation, in the first aspect of the present invention, before determining whether the calculation result deviates from the preset floating range based on the historical test data, the method further includes:

[0018] Generate a test data trend curve based on all the historical test data mentioned above;

[0019] The rate of change between historical test data corresponding to the target test is calculated based on the trend curve of the test data, wherein the target test is two adjacent tests among all tests;

[0020] The preset floating range is determined based on the data change values ​​corresponding to the maximum and minimum rates of change among all the rates of change.

[0021] As an optional implementation, in the first aspect of the present invention, after determining whether the calculation result deviates from the preset floating range based on the historical test data, the method further includes:

[0022] If it is determined that the calculation result does not deviate from the preset floating range, the preset test data threshold is updated based on all the target historical data and the target test data.

[0023] As an optional implementation, in the first aspect of the present invention, the target experimental data includes the measurement location information of the target power equipment; the step of generating a fault report corresponding to the target power equipment based on the equipment health status analysis results includes:

[0024] Based on the equipment health status analysis results, the fault attribute information corresponding to the target power equipment is determined, wherein the fault attribute information includes at least one of fault type, fault manifestation and fault level;

[0025] The relative position of the target power equipment within the test area is determined based on the measured location information;

[0026] A fault report corresponding to the target power equipment is generated based on the fault attribute information, the current environmental data, and the relative position of the target power equipment within the test area.

[0027] The measurement location information includes at least the operator's position, the horizontal position of the testing equipment, the measurement direction of the target sensor, and the position of the measurement point; determining the relative position of the target power equipment within the test area based on the measurement location information includes:

[0028] The relative position of the target power equipment within the test area is calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point.

[0029] A second aspect of the present invention discloses an analysis device for power test data, the device comprising:

[0030] The acquisition module is used to acquire target test data corresponding to the target power equipment according to the standard test data model, wherein the target test data is test data generated by the test equipment to test the target power equipment;

[0031] The judgment module is used to determine whether the health status of the target power equipment is abnormal based on the target test data corresponding to the target power equipment, the preset test data threshold and the historical test data.

[0032] The first generation module is used to generate equipment health status analysis results if the judgment module determines that the equipment health status of the target power equipment is abnormal.

[0033] The second generation module is used to generate a fault report corresponding to the target power equipment based on the equipment health status analysis results.

[0034] As an optional implementation, in the second aspect of the present invention, the method by which the judgment module judges whether the health status of the target power equipment is abnormal based on the target test data corresponding to the target power equipment, the preset test data threshold, and the historical test data is as follows:

[0035] Obtain the current environmental data corresponding to the target power equipment, wherein the current environmental data is the environmental data collected by the test equipment when it conducts the test on the target power equipment;

[0036] Determine the preset test data threshold corresponding to the current environmental data, and calculate the target test data based on the preset test data threshold to obtain the calculation result;

[0037] Based on the historical test data, it is determined whether the calculation result deviates from the preset floating range. If it is determined that the calculation result deviates from the preset floating range, the health status of the target power equipment is determined to be abnormal.

[0038] As an optional implementation, in a second aspect of the present invention, the determination module calculates the target test data based on the preset test data threshold, and obtains the calculation result in the following specific manner:

[0039] Determine whether the target test data corresponding to the target power equipment exceeds the preset test data threshold;

[0040] If it is determined that the target test data corresponding to the target power equipment does not exceed the preset test data threshold, then the error value between the target test data and the preset test data threshold is calculated, and the error value is determined as the calculation result.

[0041] As an optional implementation, in the second aspect of the present invention, the method by which the determining module determines the preset test data threshold corresponding to the current environmental data is specifically as follows:

[0042] Based on the current environmental data, all target historical data are determined from all historical test data, wherein the difference between the historical environmental data corresponding to the target historical data and the current environmental data does not exceed a preset value;

[0043] Based on all the target historical data, a test data threshold range corresponding to the target environmental state is determined, and a preset test data threshold is determined from the test data threshold range according to a preset method, wherein the target environmental state is determined based on the historical environmental data corresponding to the target historical data.

[0044] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0045] The third generation module is used to generate an experimental data trend curve based on all the historical experimental data before the judgment module judges whether the calculation result deviates from the preset floating range based on the historical experimental data.

[0046] The calculation module is used to calculate the rate of change between historical test data corresponding to the target test based on the test data trend curve, wherein the target test is two adjacent tests among all tests;

[0047] The determining module is used to determine a preset floating range based on the data change values ​​corresponding to the maximum and minimum rates of change among all the rates of change.

[0048] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0049] An update module is used to update the preset test data threshold based on all the target historical data and the target test data after the judgment module determines whether the calculation result deviates from the preset floating range based on the historical test data.

[0050] As an optional implementation, in the second aspect of the present invention, the target experimental data includes the measurement location information of the target power equipment; the second generation module generates a fault report corresponding to the target power equipment based on the equipment health status analysis results in the following specific manner:

[0051] Based on the equipment health status analysis results, the fault attribute information corresponding to the target power equipment is determined, wherein the fault attribute information includes at least one of fault type, fault manifestation and fault level;

[0052] The relative position of the target power equipment within the test area is determined based on the measured location information;

[0053] A fault report corresponding to the target power equipment is generated based on the fault attribute information, the current environmental data, and the relative position of the target power equipment within the test area.

[0054] The measurement location information includes at least the operator's position, the horizontal position of the testing equipment, the measurement direction of the target sensor, and the position of the measurement point; the second generation module determines the relative position of the target power equipment within the test area based on the measurement location information in the following specific manner:

[0055] The relative position of the target power equipment within the test area is calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point.

[0056] A third aspect of the present invention discloses another apparatus for analyzing power test data, the apparatus comprising:

[0057] Memory containing executable program code;

[0058] A processor coupled to the memory;

[0059] The processor calls the executable program code stored in the memory to execute the power test data analysis method disclosed in the first aspect of the present invention.

[0060] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the power test data analysis method disclosed in the first aspect of the present invention.

[0061] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0062] In this embodiment of the invention, target test data corresponding to the target power equipment is obtained according to a standard test data model; the health status of the target power equipment is determined to be abnormal based on the target test data, preset test data thresholds, and historical test data; if the health status of the target power equipment is determined to be abnormal, a health status analysis result is generated, and a fault report corresponding to the target power equipment is generated based on the health status analysis result. Therefore, implementing this invention can improve the convenience and standardization of electrical test data recording and analysis, thereby improving the accuracy and reliability of power equipment status evaluation. Attached Figure Description

[0063] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 This is a flowchart illustrating a method for analyzing power test data disclosed in an embodiment of the present invention;

[0065] Figure 2 This is a flowchart illustrating another method for analyzing power test data disclosed in an embodiment of the present invention;

[0066] Figure 3 This is a schematic diagram of the structure of a power test data analysis device disclosed in an embodiment of the present invention;

[0067] Figure 4 This is a schematic diagram of the structure of another power test data analysis device disclosed in an embodiment of the present invention;

[0068] Figure 5 This is a schematic diagram of the structure of another power test data analysis device disclosed in an embodiment of the present invention. Detailed Implementation

[0069] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0070] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0071] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0072] This invention discloses a method, apparatus, and computer storage medium for analyzing power test data, which can improve the convenience and standardization of electrical test data recording and analysis, thereby improving the accuracy and reliability of power equipment condition assessment. These are described in detail below.

[0073] Example 1

[0074] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for analyzing power test data disclosed in an embodiment of the present invention. Figure 1 The described method for analyzing power test data can be applied to power test data analysis devices, as well as to test tools, terminal equipment, and servers that perform different types of power tests; the embodiments of this invention are not limited thereto. Figure 1 As shown, the analysis method for this power test data may include the following operations:

[0075] 101. Obtain the target test data corresponding to the target power equipment according to the standard test data model.

[0076] In this embodiment of the invention, the target test data is the test data generated by the test equipment testing the target power equipment. Optionally, the test equipment can be any instrument, meter, device, system, and its required components, parts, and auxiliary equipment used to test the power equipment. Optionally, the target test data may include test items, measurement data, power equipment name, test time, etc. Optionally, the measurement data may include measurement location information.

[0077] In this embodiment of the invention, optionally, the standard test data model is a set of standard test project data templates defined for power test projects. Using the templates of the standard test data model during on-site data collection can unify the data collection format, thereby unifying management differences between different municipal bureaus and data format differences between different equipment and instrument manufacturers, thus facilitating subsequent management and analysis of power test data. Optionally, each power test project has its corresponding standard test data model. Optionally, the templates of the standard test data models corresponding to all power test projects adopt a structured design. Optionally, as long as the power test project is the same, regardless of what new testing equipment is deployed in the power system, equipment templates can be added in the template editor, thereby improving the efficiency of on-site data collection and facilitating subsequent management and analysis of test data. Furthermore, according to their function, power test projects can include insulation tests and characteristic tests. Insulation tests mainly test the insulation defects of power equipment developed under external influences such as operating voltage, overvoltage, humidity, mechanical force, thermal effects, and chemical effects. Characteristic tests mainly test certain electrical and mechanical characteristics of power equipment. Optionally, insulation tests may include insulation characteristic tests (such as insulation resistance and leakage current tests, dielectric loss tangent tests, partial discharge tests, and gas chromatography analysis of insulating oil), and insulation withstand voltage tests (lightning withstand voltage tests, AC withstand voltage tests, DC withstand voltage tests, lightning impulse withstand voltage tests, and switching impulse withstand voltage tests, etc.); optional, characteristic tests may include transformer turns ratio tests, polarity tests, coil DC resistance tests, and circuit breaker conductivity resistance tests, opening and closing time and speed tests.

[0078] As an optional implementation, after obtaining the target test data corresponding to the target power equipment according to the standard test data model, the method further includes:

[0079] Based on the basic equipment information of the target power equipment, determine the target 3D equipment ledger corresponding to the target power equipment from all 3D equipment ledgers;

[0080] Link the target test data to the target three-dimensional equipment ledger corresponding to the target power equipment.

[0081] As can be seen, this optional implementation method can record the test data of each test in a standardized manner, which can help improve the standardization and accuracy of power test data storage and management.

[0082] 102. Determine whether the health status of the target power equipment is abnormal based on the target test data, preset test data thresholds, and historical test data corresponding to the target power equipment.

[0083] In this embodiment of the invention, the preset test data threshold is determined in advance based on historical test data. Optionally, the historical test data refers to test data generated by testing the target power equipment using testing equipment prior to the current test. Optionally, the equipment health status is the health status level of the target power equipment obtained by analyzing the changes in values ​​or parameters reflected in the current test data and historical test data.

[0084] 103. If the health status of the target power equipment is determined to be abnormal, the equipment health status analysis result will be generated.

[0085] In this embodiment of the invention, the equipment health status analysis result generated when the equipment health status of the target power equipment is abnormal is used to indicate that there is an abnormal situation in the current test of the target power equipment.

[0086] In this embodiment of the invention, optionally, if it is determined that the health status of the target power equipment is not abnormal, a health status analysis result will also be generated. Optionally, the equipment health status analysis result generated when the health status of the target power equipment is not abnormal is used to record and display the test data generated by the current test and historical tests.

[0087] 104. Generate fault reports for the target power equipment based on the equipment health status analysis results.

[0088] In this embodiment of the invention, optionally, the fault report is used to record the specific abnormalities existing in the target power equipment during the current test, the environmental conditions of the current test, and the test status of the current test. Optionally, the specific abnormalities include information or data related to equipment faults; optional, the environmental conditions are real-time environmental data of the target power equipment during the current test; optional, the test status of the current test may include data such as the test method and test location of the current test.

[0089] It is evident that implementation Figure 1 The described method for analyzing power test data records and manages field test data through a standard test data model, which improves the convenience and standardization of electrical test data recording and analysis, thereby enhancing the accuracy and reliability of power equipment condition assessment.

[0090] In an optional embodiment, the target experimental data includes measurement location information of the target power equipment; a fault report corresponding to the target power equipment is generated based on the equipment health status analysis results, including:

[0091] Based on the equipment health status analysis results, the fault attribute information corresponding to the target power equipment is determined;

[0092] The relative position of the target power equipment within the test area is determined based on the measured location information;

[0093] A fault report corresponding to the target power equipment is generated based on the fault attribute information, current environmental data, and the relative position of the target power equipment within the test area.

[0094] The measurement location information includes at least the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point; determining the relative position of the target power equipment within the test area based on the measurement location information includes:

[0095] The relative position of the target power equipment within the test area is calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point.

[0096] In this optional embodiment, the fault attribute information includes at least one of fault type, fault manifestation, and fault level. Optionally, the equipment health status analysis results record the test data of the current test and historical tests. Based on pre-set definitions of fault type, fault manifestation, and fault level, the fault type, fault manifestation, and fault level corresponding to the anomalies existing in the current test are determined by analyzing the test data of the current test and historical tests. Optionally, according to the actual engineering needs of power equipment status assessment, the abnormal status of the target power equipment is divided into three levels: attention, abnormal, and severe. The attention status indicates that the equipment has an aging trend and may have certain defects in insulation performance or certain characteristics, and should be closely monitored; the abnormal status indicates that the equipment has aged to a certain extent and has certain defects in insulation performance or certain characteristics, and should be repaired or replaced in a timely manner; the severe status indicates that the equipment has aged to the point of failure and has serious defects in insulation performance or certain characteristics, and should be repaired or replaced as soon as possible. Optionally, the current environmental data is used to represent the real-time environmental factors in the current test. The current environmental data includes at least the temperature and humidity of the area where the target power equipment is located during the test.

[0097] In this optional embodiment, the test distance, test direction, and test location when conducting the current test on the target power equipment can be calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point.

[0098] As can be seen, this optional embodiment can generate a fault report based on a comprehensive analysis and consideration of measurement information, fault information, and environmental information, thereby improving the accuracy of fault confirmation and display. Furthermore, by considering the operator's position, the horizontal position of the testing equipment, the measurement direction of the target sensor, and the position of the measurement point, the accuracy of determining the location of the target power equipment can be improved, thus facilitating the accurate determination of the fault location and fault manifestation.

[0099] Example 2

[0100] Please see Figure 2 , Figure 2 This is a flowchart illustrating a method for analyzing power test data disclosed in an embodiment of the present invention. Figure 2 The described method for analyzing power test data can be applied to power test data analysis devices, as well as to test tools, terminal equipment, and servers that perform different types of power tests; the embodiments of this invention are not limited thereto. Figure 2 As shown, the analysis method for this power test data may include the following operations:

[0101] 201. Obtain the target test data corresponding to the target power equipment according to the standard test data model.

[0102] 202. Obtain the current environmental data corresponding to the target power equipment.

[0103] In this embodiment of the invention, the current environmental data refers to the environmental data collected by the testing equipment when testing the target electrical equipment. Optionally, the current environmental data may include at least the temperature and humidity of the area where the target electrical equipment is located during the test. Further, the current environmental data may also include radiation, mold, etc.

[0104] 203. Determine the preset test data threshold corresponding to the current environmental data.

[0105] In this embodiment of the invention, optionally, since different environmental data have different degrees of impact on power equipment, the preset test data thresholds corresponding to different environmental data are also different.

[0106] 204. Calculate the target test data based on the preset test data threshold and obtain the calculation results.

[0107] In this embodiment of the invention, the calculation result is used to represent the error value between the preset test data threshold and the target test data.

[0108] 205. Determine whether the calculation results deviate from the preset floating range based on historical test data.

[0109] In this embodiment of the invention, the preset floating range is determined based on the changes in historical experimental data generated from historical experiments.

[0110] 206. If the calculation result is found to deviate from the preset floating range, the health status of the target power equipment is determined to be abnormal.

[0111] 207. If the health status of the target power equipment is determined to be abnormal, the equipment health status analysis result will be generated.

[0112] 208. Generate a fault report for the target power equipment based on the equipment health status analysis results.

[0113] For further descriptions of steps 201 and 207-208 in this embodiment of the invention, please refer to the other specific descriptions of steps 101 and 103-104 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0114] It is evident that implementation Figure 2 The described method for analyzing power test data can improve the accuracy of determining changes in the insulation performance or characteristics of target power equipment by comparing the preset test data threshold corresponding to the current environmental data with the target test data collected under the current environmental data. This, in turn, improves the accuracy and reliability of the test data analysis.

[0115] In an optional embodiment, target test data is calculated based on a preset test data threshold to obtain the calculation result, including:

[0116] Determine whether the target test data corresponding to the target power equipment exceeds the preset test data threshold;

[0117] If it is determined that the target test data corresponding to the target power equipment does not exceed the preset test data threshold, then the error value between the target test data and the preset test data threshold is calculated, and the error value is determined as the calculation result.

[0118] In this optional embodiment, if it is determined that the target test data corresponding to the target power equipment exceeds the preset test data threshold, the equipment health status of the target power equipment can be directly determined to be abnormal. That is, it is not necessary to further determine whether the calculation result deviates from the preset floating range based on historical test data, which can help improve the efficiency of determining the abnormal status of power equipment.

[0119] As can be seen, this optional embodiment can further determine the error value between the target test data and the preset test data threshold after determining that the target test data corresponding to the target power equipment does not exceed the preset test data threshold, thereby improving the accuracy and reliability of determining the abnormal state of the target power equipment.

[0120] In another optional embodiment, determining the preset test data threshold corresponding to the current environmental data includes:

[0121] Based on current environmental data, all target historical data are determined from all historical test data;

[0122] Based on all historical data of the target, the test data threshold range corresponding to the target environmental state is determined, and the preset test data threshold is determined from the test data threshold range according to the preset method.

[0123] In this optional embodiment, the difference between the historical environmental data corresponding to the target historical data and the current environmental data does not exceed a preset value. Optionally, the preset value can be derived from previous experience in conducting the same power tests on similar power equipment. Optionally, the historical environmental data includes at least the temperature and humidity of the area where the target power equipment is located during the test. Optionally, the difference between the historical environmental data corresponding to the target historical data and the current environmental data not exceeding the preset value includes the temperature in the historical environmental data and the temperature in the current environmental data not exceeding a preset difference, such as 0.5 degrees Celsius. Optionally, the difference between the historical environmental data corresponding to the target historical data and the current environmental data not exceeding the preset value also includes the humidity in the historical environmental data and the humidity in the current environmental data not exceeding a preset difference.

[0124] In this optional embodiment, the target environmental state is determined based on the historical environmental data corresponding to the target historical data.

[0125] In this optional embodiment, the test data threshold interval is the interval formed by the maximum and minimum values ​​among all target historical data corresponding to the same or similar environmental conditions. Optionally, the preset test data threshold can be the average value of all target historical data within the test data threshold interval. Optionally, the preset test data threshold can also be the sum of the products of each target historical data and its corresponding weight value within the test data threshold interval. Further, the weight value corresponding to each target historical data can be determined based on the difference between the historical environmental data corresponding to the target historical data and the current environmental data. Optionally, the smaller the difference, the larger the weight value of the target historical data.

[0126] As can be seen, this optional embodiment can determine the test data threshold range corresponding to the target environmental state based on historical test data under the same or similar environmental conditions, thereby determining the preset test data threshold, which can improve the accuracy and reliability of the preset test data threshold determination, and thus improve the accuracy and reliability of judging the health status of the target power equipment.

[0127] In yet another optional embodiment, before determining whether the calculation result deviates from the preset floating range based on historical test data, the method for analyzing the power test data further includes:

[0128] Generate experimental data trend curves based on all historical experimental data;

[0129] Calculate the rate of change between historical test data corresponding to the target test based on the test data trend curve;

[0130] The preset floating range is determined based on the data changes corresponding to the maximum and minimum rates of change among all rates of change.

[0131] In this optional embodiment, the target trials are two consecutive trials among all trials.

[0132] In this optional embodiment, the experimental data trend curve is optionally used to visually and clearly view historical experimental conditions. Optionally, if two adjacent experiments are denoted as Experiment A and Experiment B, and Experiment A precedes Experiment B, then the formula for calculating the rate of change is:

[0133]

[0134] Where γ is the rate of change detected in the two experiments A and B, and N B N represents the experimental value corresponding to the experimental data of experiment B. A The experimental values ​​corresponding to the experimental data of Experiment A.

[0135] As can be seen, this optional embodiment can determine a preset floating range based on the rate of change of historical test data, thereby improving the accuracy of judging whether the health status of the target power equipment is abnormal.

[0136] In another optional embodiment, after determining whether the calculation result deviates from the preset floating range based on historical test data, the method for analyzing the power test data further includes:

[0137] If it is determined that the calculation result does not deviate from the preset floating range, the preset test data threshold is updated based on all target historical data and target test data.

[0138] In this optional embodiment, if the calculation result is determined not to deviate from the preset floating range, it indicates that the health status of the target power equipment is not abnormal. Optionally, when the health status of the target power equipment is not abnormal, the test data threshold range can be re-determined based on all target historical data and target test data, thereby determining a new preset test data threshold.

[0139] As can be seen, this optional embodiment can improve the accuracy and reliability of calculating target test data by adjusting and optimizing the preset test data threshold under the influence of specific environmental factors for each power test of the target power equipment.

[0140] Example 3

[0141] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a power test data analysis device disclosed in an embodiment of the present invention. Figure 3 As shown, the analysis device for the power test data includes:

[0142] The acquisition module 301 is used to acquire the target test data corresponding to the target power equipment according to the standard test data model. The target test data is the test data generated by the test equipment to test the target power equipment.

[0143] The judgment module 302 is used to judge whether the health status of the target power equipment is abnormal based on the target test data corresponding to the target power equipment, the preset test data threshold and historical test data.

[0144] The first generation module 303 is used to generate equipment health status analysis results if the judgment module 302 determines that the equipment health status of the target power equipment is abnormal.

[0145] The second generation module 304 is used to generate a fault report corresponding to the target power equipment based on the equipment health status analysis results.

[0146] visible, Figure 3 The described power test data analysis device records and manages field test data through a standard test data model, which can improve the convenience and standardization of electrical test data recording and analysis, thereby improving the accuracy and reliability of power equipment condition evaluation.

[0147] In an optional embodiment, the determination module 302 determines whether the health status of the target power equipment is abnormal based on the target test data corresponding to the target power equipment, the preset test data threshold, and the historical test data, specifically as follows:

[0148] Acquire the current environmental data corresponding to the target power equipment, wherein the current environmental data is the environmental data collected by the test equipment when it conducts the test on the target power equipment;

[0149] Determine the preset test data threshold corresponding to the current environmental data, and calculate the target test data based on the preset test data threshold to obtain the calculation result;

[0150] Based on historical test data, determine whether the calculation result deviates from the preset floating range. If it is determined that the calculation result deviates from the preset floating range, then the health status of the target power equipment is abnormal.

[0151] As can be seen, this optional embodiment can improve the accuracy of determining changes in the insulation performance or characteristics of the target power equipment by comparing the preset test data threshold corresponding to the current environmental data with the target test data collected under the current environmental data, thereby improving the accuracy and reliability of the test data analysis.

[0152] In another optional embodiment, the judgment module 302 calculates the target test data based on a preset test data threshold, and the calculation result is obtained in the following specific way:

[0153] Determine whether the target test data corresponding to the target power equipment exceeds the preset test data threshold;

[0154] If it is determined that the target test data corresponding to the target power equipment does not exceed the preset test data threshold, then the error value between the target test data and the preset test data threshold is calculated, and the error value is determined as the calculation result.

[0155] As can be seen, this optional embodiment can further determine the error value between the target test data and the preset test data threshold after determining that the target test data corresponding to the target power equipment does not exceed the preset test data threshold, thereby improving the accuracy and reliability of determining the abnormal state of the target power equipment.

[0156] In yet another optional embodiment, the determination module 302 determines the preset test data threshold corresponding to the current environmental data in the following specific way:

[0157] Based on the current environmental data, all target historical data are determined from all historical test data, wherein the difference between the historical environmental data corresponding to the target historical data and the current environmental data does not exceed a preset value;

[0158] Based on all historical data of the target, the threshold range of test data corresponding to the target environmental state is determined, and the preset test data threshold is determined from the threshold range of test data according to a preset method. The target environmental state is determined based on the historical environmental data corresponding to the historical data of the target.

[0159] As can be seen, this optional embodiment can determine the test data threshold range corresponding to the target environmental state based on historical test data under the same or similar environmental conditions, thereby determining the preset test data threshold, which can improve the accuracy and reliability of the preset test data threshold determination, and thus improve the accuracy and reliability of judging the health status of the target power equipment.

[0160] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a power test data analysis device disclosed in an embodiment of the present invention. Figure 3 As shown, the analysis device for the power test data also includes:

[0161] The third generation module 305 is used to generate an experimental data trend curve based on all historical experimental data before the judgment module 302 judges whether the calculation result deviates from the preset floating range based on historical experimental data.

[0162] The calculation module 306 is used to calculate the rate of change between historical test data corresponding to the target test based on the test data trend curve, wherein the target test is two adjacent tests among all tests;

[0163] The determination module 307 is used to determine the preset floating range based on the data change values ​​corresponding to the maximum and minimum rates of change among all rates of change.

[0164] As can be seen, this optional embodiment can determine a preset floating range based on the rate of change of historical test data, thereby improving the accuracy of judging whether the health status of the target power equipment is abnormal.

[0165] In yet another optional embodiment, the apparatus for analyzing the power test data further includes:

[0166] The update module 308 is used to update the preset test data threshold based on all target historical data and target test data after the judgment module 302 judges whether the calculation result deviates from the preset floating range based on historical test data.

[0167] As can be seen, this optional embodiment can improve the accuracy and reliability of calculating target test data by adjusting and optimizing the preset test data threshold under the influence of specific environmental factors for each power test of the target power equipment.

[0168] In another optional embodiment, the target experimental data includes the measurement location information of the target power equipment; the second generation module 305 generates a fault report corresponding to the target power equipment based on the equipment health status analysis results in the following specific manner:

[0169] Based on the equipment health status analysis results, the fault attribute information corresponding to the target power equipment is determined. The fault attribute information includes at least one of fault type, fault manifestation and fault level.

[0170] The relative position of the target power equipment within the test area is determined based on the measured location information;

[0171] A fault report corresponding to the target power equipment is generated based on the fault attribute information, current environmental data, and the relative position of the target power equipment within the test area.

[0172] The measurement location information includes at least the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point; the second generation module 305 determines the relative position of the target power equipment within the test area based on the measurement location information in the following specific manner:

[0173] The relative position of the target power equipment within the test area is calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point.

[0174] As can be seen, this optional embodiment can generate a fault report based on a comprehensive analysis and consideration of measurement information, fault information, and environmental information, thereby improving the accuracy of fault confirmation and display. Furthermore, by considering the operator's position, the horizontal position of the testing equipment, the measurement direction of the target sensor, and the position of the measurement point, the accuracy of determining the location of the target power equipment can be improved, thus facilitating the accurate determination of the fault location and fault manifestation.

[0175] Example 4

[0176] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of another power test data analysis device disclosed in an embodiment of the present invention. Figure 5 As shown, the device for analyzing the power test data may include:

[0177] Memory 501 storing executable program code;

[0178] Processor 502 coupled to memory 501;

[0179] The processor 502 calls the executable program code stored in the memory 501 to execute the steps in the power test data analysis method described in Embodiment 1 or Embodiment 2 of the present invention.

[0180] Example 5

[0181] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the power test data analysis method described in Embodiment 1 or Embodiment 2 of this invention.

[0182] Example 6

[0183] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the power test data analysis method described in Embodiment 1 or Embodiment 2.

[0184] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0185] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0186] Finally, it should be noted that the method, apparatus, and computer storage medium for analyzing power test data disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing power test data, characterized in that, The method includes: The target test data corresponding to the target power equipment is obtained according to the standard test data model, wherein the target test data is the test data generated by the test equipment to test the target power equipment; Based on the target test data, preset test data thresholds and historical test data corresponding to the target power equipment, determine whether the equipment health status of the target power equipment is abnormal; If the health status of the target power equipment is determined to be abnormal, a health status analysis result is generated, and a fault report corresponding to the target power equipment is generated based on the health status analysis result. The step of determining whether the health status of the target power equipment is abnormal based on the target test data, preset test data thresholds, and historical test data corresponding to the target power equipment includes: Obtain the current environmental data corresponding to the target power equipment, wherein the current environmental data is the environmental data collected by the test equipment when it conducts the test on the target power equipment; Determine the preset test data threshold corresponding to the current environmental data, and calculate the target test data based on the preset test data threshold to obtain the calculation result; A preset floating range is determined based on the historical test data, and it is determined whether the calculation result deviates from the preset floating range. If it is determined that the calculation result deviates from the preset floating range, the health status of the target power equipment is determined to be abnormal. The target test data includes the measurement location information of the target power equipment; the generation of a fault report corresponding to the target power equipment based on the equipment health status analysis results includes: Based on the equipment health status analysis results, the fault attribute information corresponding to the target power equipment is determined, wherein the fault attribute information includes at least one of fault type, fault manifestation and fault level; The relative position of the target power equipment within the test area is determined based on the measured location information; A fault report corresponding to the target power equipment is generated based on the fault attribute information, the current environmental data, and the relative position of the target power equipment within the test area. The measurement location information includes at least the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point. The current environmental data represents the real-time environmental factors during the current test, and includes at least the air temperature and humidity of the area where the target power equipment is located during the test. Determining the relative position of the target power equipment within the test area based on the measurement location information includes: The relative position of the target power equipment within the test area is calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point. The method further includes: The test distance, test direction, and test location for the current test on the target power equipment are calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point.

2. The method for analyzing power test data according to claim 1, characterized in that, The step of calculating the target test data based on the preset test data threshold to obtain the calculation result includes: Determine whether the target test data corresponding to the target power equipment exceeds the preset test data threshold; If it is determined that the target test data corresponding to the target power equipment does not exceed the preset test data threshold, then the error value between the target test data and the preset test data threshold is calculated, and the error value is determined as the calculation result.

3. The method for analyzing power test data according to claim 1, characterized in that, Determining the preset test data threshold corresponding to the current environmental data includes: Based on the current environmental data, all target historical data are determined from all historical test data, wherein the difference between the historical environmental data corresponding to the target historical data and the current environmental data does not exceed a preset value; Based on all the target historical data, a test data threshold range corresponding to the target environmental state is determined, and a preset test data threshold is determined from the test data threshold range according to a preset method, wherein the target environmental state is determined based on the historical environmental data corresponding to the target historical data.

4. The method for analyzing power test data according to claim 3, characterized in that, Before determining whether the calculation result deviates from the preset floating range based on the historical test data, the method further includes: Generate a test data trend curve based on all the historical test data mentioned above; The rate of change between historical test data corresponding to the target test is calculated based on the trend curve of the test data, wherein the target test is two adjacent tests among all tests; The preset floating range is determined based on the data change values ​​corresponding to the maximum and minimum rates of change among all the rates of change.

5. The method for analyzing power test data according to claim 4, characterized in that, After determining whether the calculation result deviates from the preset floating range based on the historical test data, the method further includes: If it is determined that the calculation result does not deviate from the preset floating range, the preset test data threshold is updated based on all the target historical data and the target test data.

6. An analysis device for power test data, characterized in that, The device includes: The acquisition module is used to acquire target test data corresponding to the target power equipment according to the standard test data model, wherein the target test data is test data generated by the test equipment to test the target power equipment; The judgment module is used to determine whether the health status of the target power equipment is abnormal based on the target test data corresponding to the target power equipment, the preset test data threshold and the historical test data. The first generation module is used to generate equipment health status analysis results if the judgment module determines that the equipment health status of the target power equipment is abnormal. The second generation module is used to generate a fault report corresponding to the target power equipment based on the equipment health status analysis results. The judgment module determines whether the health status of the target power equipment is abnormal based on the target test data, preset test data thresholds, and historical test data, specifically as follows: Obtain the current environmental data corresponding to the target power equipment, wherein the current environmental data is the environmental data collected by the test equipment when it conducts the test on the target power equipment; Determine the preset test data threshold corresponding to the current environmental data, and calculate the target test data based on the preset test data threshold to obtain the calculation result; A preset floating range is determined based on the historical test data, and it is determined whether the calculation result deviates from the preset floating range. If it is determined that the calculation result deviates from the preset floating range, the health status of the target power equipment is determined to be abnormal. The target test data includes the measurement location information of the target power equipment; the specific method by which the second generation module generates a fault report corresponding to the target power equipment based on the equipment health status analysis results includes: Based on the equipment health status analysis results, the fault attribute information corresponding to the target power equipment is determined, wherein the fault attribute information includes at least one of fault type, fault manifestation and fault level; The relative position of the target power equipment within the test area is determined based on the measured location information; A fault report corresponding to the target power equipment is generated based on the fault attribute information, the current environmental data, and the relative position of the target power equipment within the test area. The measurement location information includes at least the operator's position, the horizontal position of the testing equipment, the measurement direction of the target sensor, and the position of the measurement point. The current environmental data represents the real-time environmental factors during the current test, and includes at least the air temperature and humidity of the area where the target power equipment is located during the test. The specific method for determining the relative position of the target power equipment within the test area based on the measurement location information includes: The relative position of the target power equipment within the test area is calculated based on the operator's position, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point. The device is also used to calculate the test distance, test direction, and test location when conducting the current test on the target power equipment based on the position of the operator, the horizontal position of the test equipment, the measurement direction of the target sensor, and the position of the measurement point.

7. An analysis device for power test data, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the power test data analysis method as described in any one of claims 1-5.

8. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the power test data analysis method as described in any one of claims 1-5.

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