Artificial intelligence-based analysis method and device for circulation data

Abstract

The application discloses a kind of based on artificial intelligence's ring flow data analysis method and device, the method includes: according to the scene information of target scene determines the ring flow data needed to be collected, collects the ring flow data in target scene, and the ring flow data is input into ring flow data analysis model and obtains ring flow data analysis result, according to ring flow data analysis result and scene information simulates the running condition of target cable in target scene, according to the running condition of all target cable, it is judged whether there is abnormal cable, if there is, the abnormal reason that the running condition of each abnormal cable does not satisfy safe operation condition is analyzed, for each abnormal cable, according to the abnormal reason of this abnormal cable and ring flow data analysis result, determine the solution matched with this abnormal cable.Accordingly, by the ring flow data analysis model, the ring flow data can be analyzed, which is conducive to improving the accuracy, reliability and intelligence of the ring flow data analysis result.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, and in particular to a method and apparatus for analyzing circulation data based on artificial intelligence. Background Technology

[0002] In real life, with rapid economic development and continuous advancements in science and technology, power grid construction is also progressing, leading to the increasingly widespread use of power cables. However, the safety of cable use is closely related to the daily lives and even personal safety of the general public. Once a cable malfunctions, it can easily cause the temperature of the cable sheath to rise or even lead to a fire.

[0003] During cable operation, circulating current flows through the cable, causing significant energy loss, rapid and excessive temperature rise, and accelerated aging. Therefore, circulating current is closely related to cable safety. However, current methods for collecting and analyzing circulating current data typically rely on manual inspections, which are labor-intensive and inefficient in terms of data analysis accuracy, hindering cable monitoring and maintenance. Therefore, providing a new circulating current data analysis method to improve its efficiency and accuracy is crucial. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a circulation data analysis method and apparatus based on artificial intelligence, which can improve the efficiency of circulation data analysis and improve the accuracy of circulation data analysis.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a method for analyzing circulation data based on artificial intelligence, the method comprising:

[0006] Based on the scene information of the target scene, determine the circulation data that needs to be collected in the target scene, collect the circulation data in the target scene, and input the circulation data into the circulation data analysis model to obtain the circulation data analysis results;

[0007] Based on the circulating data analysis results and the scenario information, simulate the operation of at least one target cable in the target scenario;

[0008] Based on the operating status of all the target cables, determine whether there are any abnormal cables among all the target cables whose operating status does not meet the preset safe operating conditions;

[0009] When the presence of the abnormal cable is determined, analyze the reasons why the operation of each abnormal cable does not meet the preset safe operation conditions.

[0010] For each of the abnormal cables, a matching solution is determined based on the cause of the abnormality and the results of the circulating current data analysis.

[0011] As an optional implementation, in the first aspect of the present invention, the circulating current data includes one or more of the following: grounding current data, cable temperature data, vibration data, transient waveform data, and high-frequency waveform data;

[0012] And, when the circulating current data includes the grounding current data, the circulating current data analysis model includes a circulating current data monitoring and analysis model and / or a circulating current data comparison and analysis model;

[0013] When the circulating current data includes the cable temperature data, the circulating current data analysis model includes a temperature monitoring analysis model;

[0014] When the circulation data includes the vibration data, the circulation data analysis model includes a vibration monitoring analysis model;

[0015] When the circulation data includes the transient waveform data, the circulation data analysis model includes the transient waveform analysis model;

[0016] When the circulation data includes the high-frequency waveform data, the circulation data analysis model includes the high-frequency waveform analysis model.

[0017] As an optional implementation, in the first aspect of the present invention, when the circulating current data includes the grounding current data and the circulating current data analysis model includes the circulating current data monitoring and analysis model and the circulating current data comparison and analysis model, the step of collecting circulating current data in the target scenario and inputting the circulating current data into the circulating current data analysis model to obtain circulating current data analysis results includes:

[0018] Collect three-phase grounding current data and total grounding current data in the target scenario, input the grounding current data of each loop in the three-phase grounding current data and the total grounding current data into the circulating current data monitoring and analysis model to obtain the circulating current data monitoring results;

[0019] Furthermore, for the ground current data of each circuit in the three-phase ground current data, the ground current data of each circuit is input into the circulating current data comparison and analysis model to obtain the circulating current data comparison result. The circulating current data comparison result is used to represent the similarity and difference information between the ground current data of each circuit and the ground current data of each other circuit except for that circuit.

[0020] The circulation data monitoring results and the circulation data comparison results are determined as the circulation data analysis results.

[0021] As an optional implementation, in the first aspect of the present invention, the acquisition of circulation data in the target scene includes:

[0022] According to a pre-set target time interval, the circulation data of the target scene is collected within the pre-set target time interval.

[0023] Furthermore, the method further includes:

[0024] Based on the target duration, the target duration interval, and the circulation analysis results, the change pattern information of the target scenario is determined. The change pattern information is used to represent the change pattern of the operation status of all target cables in the target scenario over time.

[0025] Based on the change pattern information and the circulation analysis results, a circulation data report for the target scene is generated.

[0026] As an optional implementation, in the first aspect of the present invention, simulating the operation of at least one target cable in the target scenario based on the circulating data analysis results and the scenario information includes:

[0027] Based on the scenario information, a target simulation model matching the target scenario is determined, and at least one target cable to be analyzed is identified from all the cables included in the target scenario.

[0028] For each target cable, cable information of the target cable is collected, and the cable information of the target cable and the circulating current data analysis results are input into the target simulation model to obtain the operating status of the target cable;

[0029] The cable information includes one or more of the following: the usage duration of the target cable, the voltage of the target cable, the current of the target cable, and the loss of the target cable.

[0030] As an optional implementation, in the first aspect of the invention, after analyzing the abnormal reasons why the operation of each of the abnormal cables does not meet the preset safe operating conditions, the method further includes:

[0031] Based on the cause of the abnormality of each abnormal cable and the scenario information, determine the fault location of each abnormal cable;

[0032] For each abnormal cable, the degree of impact of the abnormality is determined based on the fault location and the cause of the abnormality.

[0033] Based on the degree of impact of all the aforementioned anomalies, determine whether there is a target abnormal cable among all the abnormal cables, wherein the degree of impact of the target abnormal cable is greater than or equal to a pre-set threshold for the degree of impact.

[0034] When the existence of the target abnormal cable is determined, the abnormal cable information of the target abnormal cable is obtained, and an abnormal cable operation early warning information is generated based on the fault location of the target abnormal cable and the abnormal cable information.

[0035] The abnormal cable information includes one or more of the following: power consumption information, power consumption duration information, cable current information, cable voltage information, and cable loss information.

[0036] As an optional implementation, in the first aspect of the present invention, when the circulating current data includes the cable temperature data, the step of inputting the circulating current data into the circulating current data analysis model to obtain the circulating current data analysis result includes:

[0037] The cable temperature data is input into the temperature monitoring and analysis model to obtain the temperature monitoring and analysis results;

[0038] And, when the circulating current data includes the cable temperature data, the analysis of the abnormal reasons why the operation of each abnormal cable does not meet the preset safe operating conditions includes:

[0039] For each abnormal cable, based on the operating status of the abnormal cable and the temperature monitoring analysis results, the operating temperature information of the abnormal cable is determined, and it is determined whether the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold.

[0040] When it is determined that the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be excessively high cable temperature; and / or

[0041] Based on the operating temperature information of the abnormal cable, determine the rate of temperature change of the abnormal cable within a preset target time period, and determine whether the rate of temperature change of the abnormal cable is greater than a preset rate change threshold.

[0042] When it is determined that the temperature change rate of the abnormal cable is greater than the preset rate change threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be that the cable temperature change rate is too high.

[0043] A second aspect of this invention discloses an artificial intelligence-based circulation data analysis device, the device comprising:

[0044] The determination module is used to determine the circulation data that needs to be collected in the target scene based on the scene information of the target scene;

[0045] The acquisition module is used to acquire circulation data in the target scene and input the circulation data into the circulation data analysis model to obtain circulation data analysis results;

[0046] The simulation module is used to simulate the operation of at least one target cable in the target scenario based on the circulating data analysis results and the scenario information.

[0047] The judgment module is used to determine, based on the operating status of all the target cables, whether there are any abnormal cables whose operating status does not meet the preset safe operating conditions among all the target cables;

[0048] The analysis module is used to analyze the abnormal reasons why the operation of each abnormal cable does not meet the preset safe operation conditions when the judgment module determines that there is an abnormal cable.

[0049] The determining module is further configured to, for each abnormal cable, determine a matching solution for the abnormal cable based on the cause of the abnormality and the results of the circulating current data analysis.

[0050] As an optional implementation, in the second aspect of the present invention, the circulating current data includes one or more of the following: grounding current data, cable temperature data, vibration data, transient waveform data, and high-frequency waveform data;

[0051] And, when the circulating current data includes the grounding current data, the circulating current data analysis model includes a circulating current data monitoring and analysis model and / or a circulating current data comparison and analysis model;

[0052] When the circulating current data includes the cable temperature data, the circulating current data analysis model includes a temperature monitoring analysis model;

[0053] When the circulation data includes the vibration data, the circulation data analysis model includes a vibration monitoring analysis model;

[0054] When the circulation data includes the transient waveform data, the circulation data analysis model includes the transient waveform analysis model;

[0055] When the circulation data includes the high-frequency waveform data, the circulation data analysis model includes the high-frequency waveform analysis model.

[0056] As an optional implementation, in a second aspect of the present invention, when the circulating current data includes the grounding current data and the circulating current data analysis model includes the circulating current data monitoring and analysis model and the circulating current data comparison and analysis model, the acquisition module acquires the circulating current data in the target scenario and inputs the circulating current data into the circulating current data analysis model to obtain the circulating current data analysis results. Specifically, the method is as follows:

[0057] Collect three-phase grounding current data and total grounding current data in the target scenario, input the grounding current data of each loop in the three-phase grounding current data and the total grounding current data into the circulating current data monitoring and analysis model to obtain the circulating current data monitoring results;

[0058] Furthermore, for the ground current data of each circuit in the three-phase ground current data, the ground current data of each circuit is input into the circulating current data comparison and analysis model to obtain the circulating current data comparison result. The circulating current data comparison result is used to represent the similarity and difference information between the ground current data of each circuit and the ground current data of each other circuit except for that circuit.

[0059] The circulation data monitoring results and the circulation data comparison results are determined as the circulation data analysis results.

[0060] As an optional implementation, in the second aspect of the present invention, the acquisition module acquires the circulation data in the target scene in the following specific manner:

[0061] According to a pre-set target time interval, the circulation data of the target scene is collected within the pre-set target time interval.

[0062] Furthermore, the determining module is also used to determine the change pattern information of the target scene based on the target duration, the target duration interval, and the circulation analysis results. The change pattern information is used to represent the change pattern of the operation status of all the target cables in the target scene over time.

[0063] The device further includes:

[0064] The generation module is used to generate a circulation data report for the target scene based on the change pattern information and the circulation analysis results.

[0065] As an optional implementation, in a second aspect of the invention, the simulation module simulates the operation of at least one target cable in the target scenario based on the circulating data analysis results and the scenario information, specifically in the following manner:

[0066] Based on the scenario information, a target simulation model matching the target scenario is determined, and at least one target cable to be analyzed is identified from all the cables included in the target scenario.

[0067] For each target cable, cable information of the target cable is collected, and the cable information of the target cable and the circulating current data analysis results are input into the target simulation model to obtain the operating status of the target cable;

[0068] The cable information includes one or more of the following: the usage duration of the target cable, the voltage of the target cable, the current of the target cable, and the loss of the target cable.

[0069] As an optional implementation, in a second aspect of the present invention, the determining module is further configured to, after the analysis module analyzes the abnormal reasons why the operation of each abnormal cable does not meet the preset safe operation conditions, determine the fault occurrence point of each abnormal cable based on the abnormal reasons of each abnormal cable and the scenario information.

[0070] The determining module is further configured to, for each abnormal cable, determine the degree of abnormal impact of the abnormal cable based on the fault location and the cause of the abnormality of the abnormal cable.

[0071] The judgment module is further configured to determine, based on the degree of influence of all the abnormalities, whether there is a target abnormal cable among all the abnormal cables, wherein the degree of influence of the target abnormal cable is greater than or equal to a preset influence degree threshold.

[0072] The device also includes:

[0073] The acquisition module is used to acquire the abnormal cable information of the target abnormal cable when the judgment module determines that the target abnormal cable exists;

[0074] The generation module is used to generate abnormal operation warning information for the abnormal cable based on the fault location of the target abnormal cable and the abnormal cable information; wherein, the abnormal cable information includes one or more of the following: power consumption information, power consumption duration information, cable current information, cable voltage information, and cable loss information.

[0075] As an optional implementation, in a second aspect of the present invention, when the circulating current data includes the cable temperature data, the acquisition module inputs the circulating current data into the circulating current data analysis model to obtain the circulating current data analysis results in the following specific manner:

[0076] The cable temperature data is input into the temperature monitoring and analysis model to obtain the temperature monitoring and analysis results;

[0077] Furthermore, when the circulating current data includes the cable temperature data, the analysis module analyzes the specific reasons why the operation of each abnormal cable does not meet the preset safe operating conditions in the following ways:

[0078] For each abnormal cable, based on the operating status of the abnormal cable and the temperature monitoring analysis results, the operating temperature information of the abnormal cable is determined, and it is determined whether the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold.

[0079] When it is determined that the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be excessively high cable temperature; and / or

[0080] Based on the operating temperature information of the abnormal cable, determine the rate of temperature change of the abnormal cable within a preset target time period, and determine whether the rate of temperature change of the abnormal cable is greater than a preset rate change threshold.

[0081] When it is determined that the temperature change rate of the abnormal cable is greater than the preset rate change threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be that the cable temperature change rate is too high.

[0082] A third aspect of the present invention discloses another circulation data analysis device based on artificial intelligence, the device comprising:

[0083] Memory containing executable program code;

[0084] A processor coupled to the memory;

[0085] The processor calls the executable program code stored in the memory to execute the artificial intelligence-based circulation data analysis method disclosed in the first aspect of the present invention.

[0086] The fourth aspect of the present invention discloses a computer-storable medium storing computer instructions, which, when invoked, are used to execute the artificial intelligence-based circulation data analysis method disclosed in the first aspect of the present invention.

[0087] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0088] In this embodiment of the invention, based on the scene information of the target scenario, the circulating current data to be collected in the target scenario is determined. The circulating current data in the target scenario is collected and input into a circulating current data analysis model to obtain the circulating current data analysis results. Based on the circulating current data analysis results and scene information, the operation of at least one target cable in the target scenario is simulated. Based on the operation of all target cables, it is determined whether there are any abnormal cables. If so, the abnormality reasons for each abnormal cable's operation not meeting the pre-set safe operation conditions are analyzed. For each abnormal cable, based on the abnormality reasons and the circulating current data analysis results, a matching solution for the abnormal cable is determined. Therefore, implementing this invention enables the analysis of circulating current data based on a circulating current data analysis model, obtaining circulating current data analysis results, and determining abnormal cables and matching solutions for each abnormal cable based on the circulating current data analysis results. This improves the accuracy, reliability, and intelligence of the obtained circulating current data analysis results, and also enhances the safety of cable use. Attached Figure Description

[0089] 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.

[0090] Figure 1 This is a flowchart illustrating an artificial intelligence-based circulation data analysis method disclosed in an embodiment of the present invention;

[0091] Figure 2 This is a flowchart illustrating another artificial intelligence-based circulation data analysis method disclosed in an embodiment of the present invention;

[0092] Figure 3 This is a schematic diagram of the structure of a circulation data analysis device based on artificial intelligence disclosed in an embodiment of the present invention;

[0093] Figure 4 This is a schematic diagram of another artificial intelligence-based circulation data analysis device disclosed in an embodiment of the present invention;

[0094] Figure 5 This is a schematic diagram of another circulation data analysis device based on artificial intelligence disclosed in an embodiment of the present invention. Detailed Implementation

[0095] 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.

[0096] 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.

[0097] 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.

[0098] This invention discloses an artificial intelligence-based circulating current data analysis method and apparatus. It can analyze circulating current data based on a circulating current data analysis model, obtain the analysis results, and determine abnormal cables and matching solutions for each abnormal cable based on the analysis results. This improves the accuracy, reliability, and intelligence of the circulating current data analysis results, and enhances the safety of cable use. Detailed descriptions follow.

[0099] Example 1

[0100] Please see Figure 1 , Figure 1 This is a flowchart illustrating an artificial intelligence-based circulation data analysis method disclosed in an embodiment of the present invention. Figure 1 The described AI-based circulation data analysis method can be applied to AI-based circulation data analysis devices, as well as to cloud servers or local servers for AI-based circulation data analysis; this invention does not limit the application. Figure 1 As shown, this AI-based circulation data analysis method may include the following operations:

[0101] 101. Based on the scene information of the target scene, determine the circulation data that needs to be collected in the target scene, collect the circulation data in the target scene, and input the circulation data into the circulation data analysis model to obtain the circulation data analysis results.

[0102] In this embodiment of the invention, optionally, the target scenario can be a scenario where cables exist. Optionally, the scenario information may include one or more of the following: the location information of the current scenario, the number of cables in the current scenario, and the cable distribution information of the current scenario.

[0103] In this embodiment of the invention, optionally, the circulating current data may include one or more of the following: three-phase grounding current data, total grounding current data, cable temperature data, vibration data, transient waveform data, and high-frequency waveform data. The vibration data may include the vibration status of the cable in the target scenario.

[0104] In this embodiment of the invention, the circulation data analysis model may optionally include one or more of the following: circulation monitoring analysis model, circulation comparison analysis model, temperature monitoring analysis model, vibration monitoring analysis model, transient waveform recording analysis model, and high-frequency waveform recording analysis model.

[0105] In this embodiment of the invention, optionally, the circulation data analysis results may include one or more of the following: circulation monitoring analysis results, circulation comparison analysis results, temperature monitoring analysis results, vibration monitoring analysis results, transient waveform analysis results, and high-frequency waveform analysis results.

[0106] 102. Based on the results of the circulating data analysis and the scene information, simulate the operation of at least one target cable in the target scene.

[0107] In this embodiment of the invention, the target cable can be any cable existing in the target scenario, or it can be a cable in the target scenario that is pre-determined to require operational status testing; this embodiment of the invention does not impose any limitation. Optionally, the number of target cables can be one or more; this embodiment of the invention does not impose any limitation.

[0108] In this embodiment of the invention, optionally, simulating the operation of at least one target cable in the target scenario may include simulating the operation of at least one target cable in the target scenario over a future preset time period. The preset time period may be 1 hour, 24 hours, 7 days, or 1 month; this embodiment of the invention does not impose any limitation.

[0109] 103. Based on the operating status of all target cables, determine whether there are any abnormal cables whose operating status does not meet the preset safe operating conditions.

[0110] In this embodiment of the invention, optionally, the pre-set safe operating conditions may include one or more of the following: safe operating temperature conditions, safe operating power conditions, safe operating duration conditions, and safe operating loss conditions. Specifically, the safe operating temperature condition indicates that the cable operating temperature is within a pre-set temperature range; the safe operating power condition indicates that the cable operating power is within a pre-set operating power range; the safe operating duration condition indicates that the cable operating duration is within a pre-set operating duration range; and the safe operating loss condition indicates that the cable operating loss is below a pre-set loss threshold.

[0111] 104. When an abnormal cable is identified, analyze the reasons why the operation of each abnormal cable does not meet the preset safe operating conditions.

[0112] In this embodiment of the invention, the number of abnormal cables may be one, multiple, or even zero; this embodiment of the invention does not impose any limitations.

[0113] In this embodiment of the invention, optionally, the process can be terminated when it is determined that no abnormal cable exists. More optionally, when it is determined that no abnormal cable exists, circulating current data in the target scene can be continuously collected.

[0114] 105. For each abnormal cable, determine a suitable solution based on the cause of the abnormality and the results of the circulating current data analysis.

[0115] In this embodiment of the invention, optionally, the solution matching each abnormal cable may include one or more of the following: the handling method for the abnormal cable, the handling time for the abnormal cable, the handling duration for the abnormal cable, and the responsible personnel for the abnormal cable. Further optionally, the solution matching each abnormal cable may also include one or more of the following: the operating status of the abnormal cable within a preset time period after the handling operation is completed, and the operating trend of the abnormal cable within a preset time period after the handling operation is completed.

[0116] In this embodiment of the invention, optionally, for each abnormal cable, determining a solution matching the abnormal cable based on the cause of the abnormal cable and the results of the circulating current data analysis may include: extracting the cause keywords of the abnormal cable's abnormality and the result keywords of the circulating current data analysis, selecting the solution with the highest degree of matching with the cause keywords and result keywords from a pre-set solution library, and determining this solution as the solution matching the abnormal cable; or, generating a solution matching the abnormal cable based on the cause keywords of the abnormal cable's abnormality and the result keywords of the circulating current data analysis.

[0117] It is evident that implementation Figure 1 The described AI-based circulating current data analysis method can determine and collect the required circulating current data based on the scene information of the target scenario. The collected circulating current data is then input into a circulating current data analysis model to obtain the analysis results. Based on the analysis results and scene information, the method simulates the operation of at least one target cable in the target scenario. Based on the operation of all target cables, it determines whether any abnormal cables exist. If so, it analyzes the cause of each abnormal cable and determines a matching solution for each abnormal cable. This method combines AI and a circulating current data analysis model to analyze circulating current data, improving the accuracy, reliability, and intelligence of the analysis results. This, in turn, enhances the accuracy and reliability of analyzing the cause of each abnormal cable, and consequently, improves the accuracy and reliability of determining a matching solution for each abnormal cable.

[0118] In one optional embodiment, the circulating current data includes one or more of the following: ground current data, cable temperature data, vibration data, transient waveform data, and high-frequency waveform data;

[0119] In addition, when the circulating current data includes grounding current data, the circulating current data analysis model includes a circulating current data monitoring and analysis model and / or a circulating current data comparison and analysis model;

[0120] When the circulating current data includes cable temperature data, the circulating current data analysis model includes a temperature monitoring analysis model;

[0121] When circulation data includes vibration data, the circulation data analysis model includes a vibration monitoring analysis model;

[0122] When the circulation data includes transient waveform data, the circulation data analysis model includes the transient waveform analysis model;

[0123] When the circulation data includes high-frequency waveform data, the circulation data analysis model includes the high-frequency waveform analysis model.

[0124] In this optional embodiment, the grounding current data may include the three-phase grounding current data of the cable and the total grounding current data. The three-phase grounding current data of the cable includes the A, B, and C phase grounding current data.

[0125] In this optional embodiment, it should be noted that transient waveform recording refers to the process of transitioning from one stable operating state to another. During this transition, the operating parameters change significantly and rapidly. This process of change is called transient waveform recording, and the operating data of this transition process is transient waveform recording data. It should also be noted that high-frequency waveform recording is also known as traveling wave waveform recording data.

[0126] In this optional embodiment, the cable temperature data may optionally include cable temperature data for different phases. Further optionally, a temperature monitoring and analysis model is used to analyze the temperature change trends of the temperature monitoring data for different phases.

[0127] In this optional embodiment, the vibration data may optionally include vibration data for each cable. Further optionally, a vibration monitoring and analysis model is used to analyze the vibration variation trends of the vibration data from different cables.

[0128] As can be seen, implementing this optional embodiment can improve the accuracy and reliability of the circulating current data analysis results when the circulating current data includes multiple types of data, and the circulating current data analysis model also includes multiple analysis models. This can improve the intelligence of the circulating current data analysis results, thereby improving the accuracy and reliability of simulating the operation of the target cable, and further improving the accuracy of analyzing the abnormal causes of abnormal cables and determining the appropriate solutions for abnormal cables.

[0129] In another optional embodiment, when the circulating current data includes ground current data and the circulating current data analysis model includes a circulating current data monitoring and analysis model and a circulating current data comparison and analysis model, circulating current data in the target scenario is collected, and the circulating current data is input into the circulating current data analysis model to obtain the circulating current data analysis results, including:

[0130] Collect three-phase grounding current data and total grounding current data in the target scenario, input the grounding current data of each loop in the three-phase grounding current data and the total grounding current data into the circulating current data monitoring and analysis model to obtain the circulating current data monitoring results;

[0131] Furthermore, for the ground current data of each loop in the three-phase ground current data, the ground current data of each loop is input into the circulating current data comparison and analysis model to obtain the circulating current data comparison results. The circulating current data comparison results are used to represent the similarities and differences between the ground current data of each loop and the ground current data of each other loop except for that loop.

[0132] The results of circulation data monitoring and circulation data comparison are defined as the circulation data analysis results.

[0133] In this optional embodiment, the circulating current monitoring results can be used to represent the analysis results of circulating current detection data for different phases of the grounding current. Further optionally, the three-phase grounding current data includes current data for the loops of the three phases.

[0134] In this optional embodiment, the acquisition of three-phase grounding current data in the target scenario may include: determining a target monitoring point and acquiring three-phase grounding current data in the target scenario at the target monitoring point. This allows for the acquisition of three-phase grounding current data in the target scenario at a single monitoring point, which improves the accuracy of the acquired grounding current data for each loop, and enhances the accuracy and reliability of subsequent circulating current monitoring and comparison results, thereby improving the accuracy and reliability of the obtained circulating current analysis results.

[0135] In this optional embodiment, the difference information between the ground current data of each loop and the ground current data of each other loop may include one or more of the following: current magnitude information of the ground current data of the loop and the ground current data of each other loop; voltage magnitude information of the ground current data of the loop and the ground current data of each other loop; and power magnitude information of the ground current data of the loop and the ground current data of each other loop.

[0136] As can be seen, implementing this optional embodiment enables the collection of three-phase grounding current data and total grounding current data in the target scenario when the circulating current data includes grounding current data and the circulating current data analysis model includes a circulating current data monitoring and analysis model and a circulating current data comparison and analysis model. This allows for the input of these data into the circulating current data monitoring and analysis model to obtain circulating current data monitoring results. Furthermore, the grounding current data of each loop in the three-phase grounding current data is input into the circulating current data comparison and analysis model to obtain circulating current data comparison results. The circulating current data monitoring results and the circulating current data comparison results are then used as the circulating current data analysis results. This improves the accuracy and reliability of obtaining the circulating current data monitoring results and the circulating current data comparison results, thereby enhancing the accuracy of the circulating current data analysis results. This, in turn, improves the accuracy and intelligence of analyzing the causes of abnormal cables and determining solutions, and ultimately enhances safety during cable use.

[0137] Example 2

[0138] Please see Figure 2 , Figure 2 This is a flowchart illustrating an artificial intelligence-based circulation data analysis method disclosed in an embodiment of the present invention. Figure 2 The described AI-based circulation data analysis method can be applied to AI-based circulation data analysis devices, as well as to cloud servers or local servers for AI-based circulation data analysis; this invention does not limit the application. Figure 2 As shown, this AI-based circulation data analysis method may include the following operations:

[0139] 201. Based on the scene information of the target scene, determine the circulation data that needs to be collected in the target scene. Collect the circulation data of the target scene according to the pre-set target time interval within the pre-set target time interval, and input the circulation data into the circulation data analysis model to obtain the circulation data analysis results.

[0140] In this embodiment of the invention, optionally, the preset target time interval can be 1 hour, 24 hours, or 48 hours, and this embodiment of the invention does not limit it.

[0141] 202. Based on the results of the circulating data analysis and the scenario information, simulate the operation of at least one target cable in the target scenario.

[0142] 203. Based on the operating status of all target cables, determine whether there are any abnormal cables whose operating status does not meet the preset safe operating conditions.

[0143] 204. When an abnormal cable is identified, analyze the reasons why the operation of each abnormal cable does not meet the preset safe operating conditions.

[0144] 205. For each abnormal cable, determine a suitable solution based on the cause of the abnormality and the results of the circulating current data analysis.

[0145] 206. Based on the target duration, target duration interval, and circulation analysis results, determine the change pattern information of the target scene.

[0146] In this embodiment of the invention, the change pattern information is used to represent the change pattern of the operating status of all target cables in the target scene over time. Optionally, the change pattern information can be presented in the form of charts, text, curves, videos, audio, etc.

[0147] In this embodiment of the invention, for example, the change pattern information may include the change pattern information of all cables in the target scene, or it may include the change pattern information of some cables in the target scene. This embodiment of the invention does not impose any limitations. For example, the change pattern information may be: the temperature of cable number one in the target scene will rise by 3 degrees Celsius in the next hour.

[0148] 207. Based on the information on the changing patterns and the results of the circulation analysis, generate a circulation data report for the target scenario.

[0149] In this embodiment of the invention, optionally, the circulating current data report may be a circulating current data report including all cables in the target scene, or it may be a circulating current data report including some cables in the target scene. This embodiment of the invention does not limit the scope.

[0150] In this embodiment of the invention, optionally, the circulating current data report of the target scenario may include one or more of the following: cable temperature change pattern report, cable current change pattern report, cable vibration data change pattern report, cable transient waveform data analysis report, and cable high-frequency waveform data analysis report.

[0151] It is evident that implementation Figure 2 The described AI-based circulation data analysis method can periodically collect circulation data in a target scene according to a pre-set target duration interval. Based on the target duration, target duration interval, and circulation analysis results, it determines the changing patterns of the target scene. Based on these changing patterns and the circulation analysis results, it generates a circulation data report for the target scene. This method improves the intelligence of collecting circulation data from the target scene, as well as the accuracy and reliability of determining the changing patterns. This enhances the accuracy and intelligence of generating circulation data reports for the target scene, and consequently, improves the intuitiveness and convenience for relevant personnel to view the circulation data reports.

[0152] In an optional embodiment, based on the circulating current data analysis results and scenario information, the operation of at least one target cable in the target scenario is simulated, including:

[0153] Based on the scene information, determine the target simulation model that matches the target scene, and identify at least one target cable to be analyzed among all the cables included in the target scene;

[0154] For each target cable, the cable information of the target cable is collected, and the cable information and circulating current data analysis results of the target cable are input into the target simulation model to obtain the operating status of the target cable;

[0155] The cable information includes one or more of the following: the usage duration of the target cable, the voltage of the target cable, the current of the target cable, and the loss of the target cable.

[0156] In this optional embodiment, optionally, determining the target simulation model matching the target scene based on scene information includes: determining the scene attributes of the target scene based on the scene information, and determining the target simulation model matching the target scene based on the scene attributes. The scene attributes may include one of the following: forest attributes, urban attributes, mountainous attributes, and rural attributes. Further optionally, different target scenes may correspond to different target simulation models.

[0157] In this optional embodiment, the target cable may be all cables included in the target scenario, or it may be a portion of the cables included in the target scenario. This embodiment of the invention does not impose any limitations.

[0158] In this optional embodiment, the target cable usage duration information may optionally include one or more of the target cable current usage duration information and the target cable total usage duration information; the target cable voltage information may include one or more of the target cable output voltage information and the target cable input voltage information; the target cable current information may include one or more of the target cable output current information and the target cable input current information; and the target cable loss information may include one or more of the following: the cause of the loss, the degree of loss, and the time of loss.

[0159] As can be seen, implementing this optional embodiment can determine the target simulation model and the target cable to be analyzed based on the scenario information. For each target cable, the cable information of the target cable is collected, and the cable information and circulating current data analysis results of the target cable are input into the target simulation model to obtain the operating status of the target cable. This can improve the intelligence, accuracy, and reliability of simulating the operating status of the target cable, thereby improving the accuracy and intelligence of judging whether there are abnormal cables. This, in turn, can improve the intelligence and accuracy of analyzing the causes of abnormalities and determining solutions, and can also improve the safety during the use of cables.

[0160] In another optional embodiment, after analyzing the reasons why the operation of each abnormal cable does not meet the preset safe operating conditions, the method further includes:

[0161] Based on the cause of the abnormality and the scenario information for each abnormal cable, determine the fault location for each abnormal cable;

[0162] For each abnormal cable, determine the degree of its abnormal impact based on the location of the fault and the cause of the abnormality.

[0163] Based on the degree of impact of all anomalies, determine whether there is a target abnormal cable among all abnormal cables. The degree of impact of the target abnormal cable is greater than or equal to the pre-set threshold for the degree of impact.

[0164] When a target abnormal cable is identified, the abnormal cable information of the target abnormal cable is obtained, and an abnormal cable operation early warning information is generated based on the fault location and abnormal cable information of the target abnormal cable.

[0165] The abnormal cable information includes one or more of the following: power consumption information, power consumption duration information, cable current information, cable voltage information, and cable loss information.

[0166] In this optional embodiment, the power consumption information may be used to indicate abnormal power transmission by the cable. Cable voltage information may include one or more of output voltage information and input voltage information; cable current information may include one or more of output current information and input current information; cable loss information may include one or more of the following: the cause of cable loss, the degree of cable loss, and the time of cable loss.

[0167] In this optional embodiment, when it is determined that there is no target abnormal cable, an operation is triggered to determine a matching solution for each abnormal cable based on the cause of the abnormality and the results of the circulating current data analysis.

[0168] In this optional embodiment, the fault location of each abnormal cable may optionally include the location coordinates of the fault in each abnormal cable.

[0169] In this optional embodiment, the abnormal cable operation early warning information may optionally include one or more of the following: the location of the abnormal cable fault, the fault condition of the abnormal cable, the affected area of ​​the abnormal cable, the duration of the abnormal cable fault, the estimated repair time of the abnormal cable, and the estimated repair method of the abnormal cable.

[0170] As can be seen, implementing this optional embodiment can determine the fault location and impact degree of each abnormal cable based on the cause and scenario information of each abnormal cable, determine whether a target abnormal cable exists, and if so, obtain the abnormal cable information of the target abnormal cable. Based on the fault location and abnormal cable information of the target abnormal cable, abnormal cable operation early warning information is generated. This can improve the intelligence and efficiency of generating abnormal cable operation early warning information, as well as the accuracy and reliability of generating abnormal cable operation early warning information. This, in turn, helps to improve the intelligence and accuracy of analyzing the cause of abnormal cable and determining solutions, and also helps to improve the safety during the use of cables.

[0171] In another optional embodiment, when the circulating current data includes cable temperature data, the circulating current data is input into the circulating current data analysis model to obtain the circulating current data analysis results, including:

[0172] The cable temperature data is input into the temperature monitoring and analysis model to obtain the temperature monitoring and analysis results;

[0173] Furthermore, when the circulating current data includes cable temperature data, analyze the reasons why the operation of each abnormal cable does not meet the preset safe operating conditions, including:

[0174] For each abnormal cable, based on the operating status of the abnormal cable and the temperature monitoring analysis results, determine the operating temperature information of the abnormal cable, and determine whether the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold.

[0175] When the abnormal cable's operating temperature information indicates that the cable's operating temperature exceeds a preset cable temperature threshold, the cause of the abnormal cable's failure to meet the preset safe operating conditions is determined to be excessively high cable temperature; and / or

[0176] Based on the operating temperature information of the abnormal cable, determine the rate of temperature change of the abnormal cable within a preset target time period, and determine whether the rate of temperature change of the abnormal cable is greater than a preset rate change threshold.

[0177] When it is determined that the temperature change rate of the abnormal cable is greater than the preset rate change threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be that the cable temperature change rate is too high.

[0178] In this optional embodiment, the temperature monitoring and analysis results may optionally include one or more of the following: the real-time temperature of the cable, and the temperature change of the cable within a preset time period.

[0179] In this optional embodiment, the preset target duration can be one hour, two hours, or 24 hours; the embodiment of the present invention does not impose any limitation.

[0180] As can be seen, implementing this optional embodiment allows cable temperature data to be input into a temperature monitoring and analysis model to obtain temperature monitoring and analysis results. For each abnormal cable, based on its operating status and the temperature monitoring and analysis results, the model determines the operating temperature information of the abnormal cable and judges whether the operating temperature of the abnormal cable exceeds a preset cable temperature threshold. If it does, the cause of the abnormality is determined to be excessively high cable temperature. And / or, based on the operating temperature information of the abnormal cable, the model determines the rate of temperature change of the abnormal cable within a preset target time period and judges whether the rate of temperature change exceeds a preset rate change threshold. If it does, the cause of the abnormality is determined to be excessively high cable temperature change rate. This improves the intelligence and efficiency of analyzing the causes of abnormal cables, and enhances the accuracy and reliability of analyzing the causes of abnormal cables. This, in turn, helps to improve the accuracy and reliability of determining the appropriate solution for the abnormal cable, and ultimately improves the safety during cable use.

[0181] Example 3

[0182] Please see Figure 3 , Figure 3 This is a schematic diagram of another artificial intelligence-based circulation data analysis device disclosed in an embodiment of the present invention. Figure 3 As shown, the AI-based circulation data analysis device may include:

[0183] The determination module 301 is used to determine the circulating data that needs to be collected in the target scene based on the scene information of the target scene;

[0184] The acquisition module 302 is used to acquire circulation data in the target scene and input the circulation data into the circulation data analysis model to obtain circulation data analysis results;

[0185] The simulation module 303 is used to simulate the operation of at least one target cable in the target scenario based on the results of circulating data analysis and scenario information.

[0186] The judgment module 304 is used to determine, based on the operating status of all target cables, whether there are any abnormal cables whose operating status does not meet the preset safe operating conditions among all target cables;

[0187] The analysis module 305 is used to analyze the abnormal reasons why the operation of each abnormal cable does not meet the preset safe operation conditions when the judgment module 304 determines that there is an abnormal cable.

[0188] The determination module 301 is also used to determine a matching solution for each abnormal cable based on the cause of the abnormality and the results of circulating current data analysis.

[0189] It is evident that implementation Figure 3 The described device can determine and collect the required circulating current data based on the scene information of the target scenario. It then inputs the collected circulating current data into a circulating current data analysis model to obtain the analysis results. Based on the analysis results and scene information, it simulates the operation of at least one target cable in the target scenario. Based on the operation of all target cables, it determines whether any abnormal cables exist. If so, it analyzes the cause of each abnormal cable and determines a matching solution for each. By combining artificial intelligence and a circulating current data analysis model, it can improve the accuracy and reliability of the analysis results, as well as their intelligence. This, in turn, enhances the accuracy and reliability of analyzing the cause of each abnormal cable, and consequently, improves the accuracy and reliability of determining a matching solution for each abnormal cable.

[0190] In one optional embodiment, the circulating current data includes one or more of the following: ground current data, cable temperature data, vibration data, transient waveform data, and high-frequency waveform data;

[0191] In addition, when the circulating current data includes grounding current data, the circulating current data analysis model includes a circulating current data monitoring and analysis model and / or a circulating current data comparison and analysis model;

[0192] When the circulating current data includes cable temperature data, the circulating current data analysis model includes a temperature monitoring analysis model;

[0193] When circulation data includes vibration data, the circulation data analysis model includes a vibration monitoring analysis model;

[0194] When the circulation data includes transient waveform data, the circulation data analysis model includes the transient waveform analysis model;

[0195] When the circulation data includes high-frequency waveform data, the circulation data analysis model includes the high-frequency waveform analysis model.

[0196] It is evident that implementation Figure 3 The described device can improve the accuracy and reliability of the circulating current analysis results when the circulating current data includes multiple types of data, and the circulating current data analysis model also includes multiple analysis models. This can improve the intelligence of the circulating current data analysis results, thereby improving the accuracy and reliability of simulating the operation of the target cable, and further improving the accuracy of analyzing the causes of abnormal cables and determining the appropriate solutions for abnormal cables.

[0197] In another optional embodiment, when the circulating current data includes ground current data and the circulating current data analysis model includes a circulating current data monitoring and analysis model and a circulating current data comparison and analysis model, the acquisition module 302 acquires the circulating current data in the target scenario and inputs the circulating current data into the circulating current data analysis model to obtain the circulating current data analysis results. The specific method is as follows:

[0198] Collect three-phase grounding current data and total grounding current data in the target scenario, input the grounding current data of each loop in the three-phase grounding current data and the total grounding current data into the circulating current data monitoring and analysis model to obtain the circulating current data monitoring results;

[0199] Furthermore, for the ground current data of each loop in the three-phase ground current data, the ground current data of each loop is input into the circulating current data comparison and analysis model to obtain the circulating current data comparison results. The circulating current data comparison results are used to represent the similarities and differences between the ground current data of each loop and the ground current data of each other loop except for that loop.

[0200] The results of circulation data monitoring and circulation data comparison are defined as the circulation data analysis results.

[0201] It is evident that implementation Figure 3 The described device, when the circulating current data includes grounding current data and the circulating current data analysis model includes a circulating current data monitoring and analysis model and a circulating current data comparison and analysis model, collects three-phase grounding current data and total grounding current data in the target scenario and inputs them into the circulating current data monitoring and analysis model to obtain circulating current data monitoring results; it then inputs the grounding current data of each loop in the three-phase grounding current data into the circulating current data comparison and analysis model to obtain circulating current data comparison results. The circulating current data monitoring results and the circulating current data comparison results are then determined as circulating current data analysis results. This improves the accuracy and reliability of obtaining the circulating current data monitoring results and the circulating current data comparison results, thereby improving the accuracy of obtaining the circulating current data analysis results. This, in turn, improves the accuracy and intelligence of analyzing the causes of abnormal cables and determining solutions, and also enhances safety during cable use.

[0202] In yet another alternative embodiment, such as Figure 4 As shown, the acquisition module 302 acquires the circulating data in the target scene in the following specific way:

[0203] According to the preset target time interval, collect the circulation data of the target scene within the preset target time interval;

[0204] In addition, the determination module 301 is also used to determine the change pattern information of the target scene based on the target duration, the target duration interval and the circulation analysis results. The change pattern information is used to represent the change pattern of the operation status of all target cables in the target scene over time.

[0205] The device also includes:

[0206] The generation module 306 is used to generate a circulation data report for the target scenario based on the information on the changing patterns and the results of the circulation analysis.

[0207] It is evident that implementation Figure 4 The described device can periodically collect circulation data in a target scene according to a pre-set target duration interval, and determine the change pattern information of the target scene based on the target duration, target duration interval, and circulation analysis results. Based on the change pattern information and circulation analysis results, it generates a circulation data report of the target scene. This improves the intelligence of collecting circulation data of the target scene, as well as the accuracy and reliability of determining the change pattern information of the target scene, and the intelligence of determining the change pattern information. This, in turn, helps to improve the accuracy and intelligence of generating circulation data reports of the target scene, and further improves the intuitiveness and convenience for relevant personnel to view circulation data reports.

[0208] In another optional embodiment, the simulation module 303 simulates the operation of at least one target cable in the target scenario based on the circulating current data analysis results and scenario information, specifically in the following manner:

[0209] Based on the scene information, determine the target simulation model that matches the target scene, and identify at least one target cable to be analyzed among all the cables included in the target scene;

[0210] For each target cable, the cable information of the target cable is collected, and the cable information and circulating current data analysis results of the target cable are input into the target simulation model to obtain the operating status of the target cable;

[0211] The cable information includes one or more of the following: the usage duration of the target cable, the voltage of the target cable, the current of the target cable, and the loss of the target cable.

[0212] It is evident that implementation Figure 4The described device determines the target simulation model and the target cable to be analyzed based on scene information. For each target cable, it collects the cable information and inputs the cable information and circulating current data analysis results into the target simulation model to obtain the operating status of the target cable. This improves the intelligence, accuracy, and reliability of simulating the operating status of the target cable, thereby improving the accuracy and intelligence of judging whether there are abnormal cables. This, in turn, improves the intelligence and accuracy of analyzing the causes of abnormalities and determining solutions, and also improves the safety during the use of cables.

[0213] In yet another alternative embodiment, such as Figure 4 As shown, the determining module 301 is also used to determine the fault location of each abnormal cable based on the abnormal cause and scenario information of each abnormal cable after the analysis module 305 analyzes the abnormal cause of each abnormal cable's operation not meeting the preset safe operation conditions.

[0214] The determination module 301 is also used to determine the degree of abnormal impact of each abnormal cable based on the fault location and the cause of the abnormality of the cable.

[0215] The judgment module 304 is also used to determine whether there is a target abnormal cable among all abnormal cables based on the degree of influence of all abnormalities, and the degree of influence of the target abnormal cable is greater than or equal to a preset influence degree threshold.

[0216] The device also includes:

[0217] The acquisition module 307 is used to acquire abnormal cable information of the target abnormal cable when the judgment module 304 determines that there is a target abnormal cable;

[0218] The generation module 306 is used to generate abnormal operation warning information for the abnormal cable based on the fault location and abnormal cable information of the target abnormal cable; wherein, the abnormal cable information includes one or more of the following: power consumption information, power consumption duration information, cable current information, cable voltage information, and cable loss information.

[0219] It is evident that implementation Figure 4The described device can determine the fault location and impact of each abnormal cable based on its cause and context information, identify the presence of a target abnormal cable, and if so, acquire its information. Based on the fault location and information, it generates an early warning message for abnormal cable operation. This improves the intelligence, efficiency, accuracy, and reliability of generating such warnings, thereby enhancing the intelligence and accuracy of analyzing the causes of abnormal cables and determining solutions, and ultimately improving safety during cable usage.

[0220] In another optional embodiment, when the circulating current data includes cable temperature data, the acquisition module 302 inputs the circulating current data into the circulating current data analysis model to obtain the circulating current data analysis results in the following specific manner:

[0221] The cable temperature data is input into the temperature monitoring and analysis model to obtain the temperature monitoring and analysis results;

[0222] Furthermore, when the circulating current data includes cable temperature data, the analysis module 305 analyzes the specific reasons why the operation of each abnormal cable does not meet the preset safe operating conditions in the following ways:

[0223] For each abnormal cable, based on the operating status of the abnormal cable and the temperature monitoring analysis results, determine the operating temperature information of the abnormal cable, and determine whether the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold.

[0224] When the abnormal cable's operating temperature information indicates that the cable's operating temperature exceeds a preset cable temperature threshold, the cause of the abnormal cable's failure to meet the preset safe operating conditions is determined to be excessively high cable temperature; and / or

[0225] Based on the operating temperature information of the abnormal cable, determine the rate of temperature change of the abnormal cable within a preset target time period, and determine whether the rate of temperature change of the abnormal cable is greater than a preset rate change threshold.

[0226] When it is determined that the temperature change rate of the abnormal cable is greater than the preset rate change threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be that the cable temperature change rate is too high.

[0227] It is evident that implementation Figure 4The described device can input cable temperature data into a temperature monitoring and analysis model to obtain temperature monitoring and analysis results. For each abnormal cable, based on the cable's operating status and the temperature monitoring and analysis results, it determines the cable's operating temperature information and judges whether the operating temperature exceeds a preset cable temperature threshold. If it does, the cause of the abnormality is determined to be excessive cable temperature. And / or, based on the cable's operating temperature information, it determines the rate of temperature change of the abnormal cable within a preset target time period and judges whether the rate of temperature change exceeds a preset rate of change threshold. If it does, the cause of the abnormality is determined to be excessive cable temperature change rate. This improves the intelligence and efficiency of analyzing the causes of abnormal cables, and enhances the accuracy and reliability of analyzing the causes of abnormal cables. This, in turn, helps to improve the accuracy and reliability of determining the appropriate solution for the abnormal cable, and ultimately improves the safety during cable use.

[0228] Example 4

[0229] Please see Figure 5 , Figure 5 This is a schematic diagram of another artificial intelligence-based circulation data analysis device disclosed in an embodiment of the present invention. Figure 5 As shown, the AI-based circulation data analysis device may include:

[0230] Memory 401 storing executable program code;

[0231] Processor 402 coupled to memory 401;

[0232] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the artificial intelligence-based circulation data analysis method described in Embodiment 1 or Embodiment 2 of the present invention.

[0233] Example 5

[0234] This invention discloses a computer-storable medium storing computer instructions, which, when invoked, execute the steps in the artificial intelligence-based circulation data analysis method described in Embodiment 1 or Embodiment 2 of this invention.

[0235] Example 6

[0236] 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 artificial intelligence-based circulation data analysis method described in Embodiment 1 or Embodiment 2.

[0237] 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.

[0238] 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.

[0239] Finally, it should be noted that the circulating data analysis method and apparatus based on artificial intelligence 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 circulation data analysis method based on artificial intelligence, characterized in that, The method includes: Based on the scene information of the target scene, determine the circulation data that needs to be collected in the target scene, collect the circulation data in the target scene, and input the circulation data into the circulation data analysis model to obtain the circulation data analysis results; Based on the circulating data analysis results and the scenario information, simulate the operation of at least one target cable in the target scenario; Based on the operating status of all the target cables, determine whether there are any abnormal cables among all the target cables whose operating status does not meet the preset safe operating conditions; When the presence of the abnormal cable is determined, analyze the reasons why the operation of each abnormal cable does not meet the preset safe operation conditions. For each of the abnormal cables, a matching solution is determined based on the cause of the abnormality and the results of the circulating current data analysis. The circulating current data includes one or more of the following: grounding current data, cable temperature data, vibration data, transient waveform data, and high-frequency waveform data. Furthermore, when the circulating current data includes the grounding current data, the circulating current data analysis model includes a circulating current data monitoring and analysis model and a circulating current data comparison and analysis model; When the circulating current data includes the cable temperature data, the circulating current data analysis model includes a temperature monitoring analysis model; When the circulation data includes the vibration data, the circulation data analysis model includes a vibration monitoring analysis model; When the circulation data includes the transient waveform data, the circulation data analysis model includes the transient waveform analysis model; When the circulating data includes the high-frequency waveform data, the circulating data analysis model includes the high-frequency waveform analysis model; The collection of circulation data in the target scene includes: According to a pre-set target time interval, the circulation data of the target scene is collected within the pre-set target time interval. Furthermore, the method further includes: Based on the target duration, the target duration interval, and the circulating data analysis results, the change pattern information of the target scenario is determined. The change pattern information is used to represent the change pattern of the operation status of all target cables in the target scenario over time. Based on the change pattern information and the circulation data analysis results, a circulation data report for the target scene is generated; The step of simulating the operation of at least one target cable in the target scenario based on the circulating data analysis results and the scenario information includes: Based on the scenario information, a target simulation model matching the target scenario is determined, and at least one target cable to be analyzed is identified from all the cables included in the target scenario. For each target cable, cable information of the target cable is collected, and the cable information of the target cable and the circulating current data analysis results are input into the target simulation model to obtain the operating status of the target cable; The cable information includes one or more of the following: the usage duration of the target cable, the voltage of the target cable, the current of the target cable, and the loss of the target cable.

2. The method for analyzing circulation data based on artificial intelligence according to claim 1, characterized in that, When the circulating current data includes the grounding current data and the circulating current data analysis model includes the circulating current data monitoring and analysis model and the circulating current data comparison and analysis model, the step of collecting circulating current data in the target scenario and inputting the circulating current data into the circulating current data analysis model to obtain circulating current data analysis results includes: Collect three-phase grounding current data and total grounding current data in the target scenario, input the grounding current data of each loop in the three-phase grounding current data and the total grounding current data into the circulating current data monitoring and analysis model to obtain the circulating current data monitoring results; Furthermore, for the ground current data of each circuit in the three-phase ground current data, the ground current data of each circuit is input into the circulating current data comparison and analysis model to obtain the circulating current data comparison result. The circulating current data comparison result is used to represent the similarity and difference information between the ground current data of each circuit and the ground current data of each other circuit except for that circuit. The circulation data monitoring results and the circulation data comparison results are determined as the circulation data analysis results.

3. The artificial intelligence-based circulation data analysis method according to claim 1, characterized in that, After analyzing the reasons why the operation of each abnormal cable does not meet the preset safe operating conditions, the method further includes: Based on the cause of the abnormality of each abnormal cable and the scenario information, determine the fault location of each abnormal cable; For each abnormal cable, the degree of impact of the abnormality is determined based on the fault location and the cause of the abnormality. Based on the degree of impact of all the aforementioned anomalies, determine whether there is a target abnormal cable among all the abnormal cables, wherein the degree of impact of the target abnormal cable is greater than or equal to a pre-set threshold for the degree of impact. When the existence of the target abnormal cable is determined, the abnormal cable information of the target abnormal cable is obtained, and an abnormal cable operation early warning information is generated based on the fault location of the target abnormal cable and the abnormal cable information. The abnormal cable information includes one or more of the following: power consumption information, power consumption duration information, cable current information, cable voltage information, and cable loss information.

4. The artificial intelligence-based circulation data analysis method according to claim 1, characterized in that, When the circulating current data includes the cable temperature data, the step of inputting the circulating current data into the circulating current data analysis model to obtain the circulating current data analysis results includes: The cable temperature data is input into the temperature monitoring and analysis model to obtain the temperature monitoring and analysis results; And, when the circulating current data includes the cable temperature data, the analysis of the abnormal reasons why the operation of each abnormal cable does not meet the preset safe operating conditions includes: For each abnormal cable, based on the operating status of the abnormal cable and the temperature monitoring analysis results, the operating temperature information of the abnormal cable is determined, and it is determined whether the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold. When it is determined that the operating temperature information of the abnormal cable indicates that the operating temperature of the abnormal cable is greater than the preset cable temperature threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be excessively high cable temperature; and / or Based on the operating temperature information of the abnormal cable, determine the rate of temperature change of the abnormal cable within a preset target time period, and determine whether the rate of temperature change of the abnormal cable is greater than a preset rate change threshold. When it is determined that the temperature change rate of the abnormal cable is greater than the preset rate change threshold, the abnormal cause of the cable's failure to meet the preset safe operating conditions is determined to be that the cable temperature change rate is too high.

5. A circulation data analysis device based on artificial intelligence, characterized in that, The device includes: The determination module is used to determine the circulation data that needs to be collected in the target scene based on the scene information of the target scene; The acquisition module is used to acquire circulation data in the target scene and input the circulation data into the circulation data analysis model to obtain circulation data analysis results; The simulation module is used to simulate the operation of at least one target cable in the target scenario based on the circulating data analysis results and the scenario information. The judgment module is used to determine, based on the operating status of all the target cables, whether there are any abnormal cables whose operating status does not meet the preset safe operating conditions among all the target cables; The analysis module is used to analyze the abnormal reasons why the operation of each abnormal cable does not meet the preset safe operation conditions when the judgment module determines that there is an abnormal cable. The determining module is also used to determine a matching solution for each abnormal cable based on the cause of the abnormality and the results of the circulating current data analysis. The circulating current data includes one or more of the following: grounding current data, cable temperature data, vibration data, transient waveform data, and high-frequency waveform data. Furthermore, when the circulating current data includes the grounding current data, the circulating current data analysis model includes a circulating current data monitoring and analysis model and a circulating current data comparison and analysis model; When the circulating current data includes the cable temperature data, the circulating current data analysis model includes a temperature monitoring analysis model; When the circulation data includes the vibration data, the circulation data analysis model includes a vibration monitoring analysis model; When the circulation data includes the transient waveform data, the circulation data analysis model includes the transient waveform analysis model; When the circulating data includes the high-frequency waveform data, the circulating data analysis model includes the high-frequency waveform analysis model; The acquisition module acquires the circulation data in the target scene in the following specific manner: According to a pre-set target time interval, the circulation data of the target scene is collected within the pre-set target time interval. Furthermore, the determining module is also used to determine the change pattern information of the target scene based on the target duration, the target duration interval, and the circulation data analysis results. The change pattern information is used to represent the change pattern of the operation status of all the target cables in the target scene over time. The device further includes: The generation module is used to generate a circulation data report for the target scene based on the change pattern information and the circulation data analysis results. The simulation module simulates the operation of at least one target cable in the target scenario based on the circulating data analysis results and the scenario information, specifically as follows: Based on the scenario information, a target simulation model matching the target scenario is determined, and at least one target cable to be analyzed is identified from all the cables included in the target scenario. For each target cable, cable information is collected, and the cable information and the circulating current data analysis results are input into the target simulation model to obtain the operating status of the target cable. The cable information includes one or more of the following: the usage duration of the target cable, the voltage of the target cable, the current of the target cable, and the loss of the target cable.

6. A circulation data analysis device based on artificial intelligence, 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 artificial intelligence-based circulation data analysis method as described in any one of claims 1-5.

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

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