Methods, apparatus and equipment for testing the performance of cross-linked polyolefin insulated environmentally friendly power cables

Abstract

This application relates to the field of power cable technology, and particularly to a method, apparatus, and equipment for performance testing of cross-linked polyolefin insulated environmentally friendly power cables. The method includes: acquiring information about a section of the cross-linked polyolefin insulated environmentally friendly power cable to be tested; searching a cable database for a cable model corresponding to the section of the cross-linked polyolefin insulated cable to be tested, obtaining target cable information; based on the target cable information, acquiring performance testing data of the target cable from the cable database; performing feature processing on the detection point information to obtain detection features of the section of the cross-linked polyolefin insulated cable; and obtaining the test result of the section of the cross-linked polyolefin insulated cable based on the performance testing data, the detection features, and the performance testing data of the target cable. This method not only improves the efficiency and accuracy of performance testing of cross-linked polyolefin insulated environmentally friendly power cables, but also reduces testing costs.

Description

Technical Field

[0001] This application belongs to the field of power cable technology, and in particular relates to methods, apparatus and equipment for testing the performance of cross-linked polyolefin insulated environmentally friendly power cables. Background Technology

[0002] Cross-linked polyolefin (XLPE) insulated environmentally friendly power cables are cables that use XLPE as the insulation material. This material gives the cables excellent electrical properties, high-temperature resistance, and chemical stability, making them ideal for high-voltage and ultra-high-voltage power transmission. In terms of environmental protection, XLPE insulated cables do not contain harmful heavy metals or halogens, and produce less smoke and toxic gases when burned, thus having a smaller impact on the environment and human health. These cables are widely used in power grids and various industrial and civil facilities, especially in situations requiring reduced environmental impact, such as densely populated urban areas or projects with high environmental protection requirements.

[0003] In existing technologies, cross-linked polyolefin insulated environmentally friendly power cables may be installed underground, underwater, or in other locations where direct access is difficult, making direct testing complex and expensive. For example, underground or overhead cables are located at high altitudes, making it difficult for traditional testing equipment to cover them. Testing the performance of cross-linked polyolefin insulated environmentally friendly power cables requires trained operators and analysts to perform testing tasks and data analysis, increasing human resource costs.

[0004] In summary, testing the performance of cross-linked polyolefin insulated environmentally friendly power cables presents challenges due to the difficulty in location-based testing and high costs. Summary of the Invention

[0005] This application provides a method, apparatus, and equipment for testing the performance of cross-linked polyolefin insulated environmentally friendly power cables, which can solve the problems of difficult location detection and high cost in related technologies when testing the performance of cross-linked polyolefin insulated environmentally friendly power cables.

[0006] In a first aspect, embodiments of this application provide a method for testing the performance of cross-linked polyolefin insulated environmentally friendly power cables, including:

[0007] Obtain information about the cable segment to be tested from a cross-linked polyolefin insulated environmentally friendly power cable; wherein, the information about the cable segment to be tested includes testing point information and the cable model of the cable segment to be tested, and the testing point information includes the performance test data of the cable segment to be tested, the environmental information of the cable segment to be tested, the location information of the cable segment to be tested, and the usage time information of the cable segment to be tested;

[0008] The target cable information is obtained by searching the cable database for the cable model corresponding to the cable segment to be tested; wherein, the cable database is constructed by collecting initial performance test data of different models of cross-linked polyolefin insulated environmentally friendly power cables;

[0009] Based on the target cable information, the performance test data of the target cable are obtained from the cable database;

[0010] The detection point information is processed to obtain the detection features of the cable segment under test;

[0011] The test results of the cable segment under test are obtained based on the performance test data of the cable segment under test, the test characteristics of the cable segment under test, and the performance test data of the target cable.

[0012] The technical solutions described in this application embodiment have at least the following technical effects:

[0013] The performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in this application first obtains information about the cable segment to be tested, facilitating the identification of testing points and cable type. Then, it searches a cable database for the cable type corresponding to the tested segment, obtaining target cable information. Based on this target cable information, it retrieves performance testing data for the target cable from the cable database and performs feature processing on the testing point information to obtain the testing characteristics of the tested cable segment. Finally, based on the performance testing data, the testing characteristics, and the target cable's performance testing data, the test result for the tested cable segment is obtained. This method facilitates the testing of the performance of cross-linked polyolefin insulated environmentally friendly power cables that are geographically difficult to inspect. This method not only improves the efficiency and accuracy of performance testing for cross-linked polyolefin insulated environmentally friendly power cables but also reduces testing costs.

[0014] In one possible implementation of the first aspect, obtaining the cable segment information of the cross-linked polyolefin insulated environmentally friendly power cable to be tested includes:

[0015] Obtain the identification of the cable segment to be tested;

[0016] Based on the identifier of the cable segment to be tested, a retrieval instruction is generated; wherein the retrieval instruction includes the identifier of the cable segment to be tested and an access request.

[0017] Based on the access request, access the cable map database;

[0018] According to the acquisition instruction, the information of the cable segment to be tested corresponding to the identifier of the cable segment to be tested is obtained from the cable map database.

[0019] In one possible implementation of the first aspect, the method further includes:

[0020] The cable mapping system retrieves query requests;

[0021] Based on the query request, the cable map system displays a query box on the interface;

[0022] The cable map system obtains the identifier of the cable segment to be tested through the query box;

[0023] Based on the identification of the cable segment to be tested, the cable map system locates the cable segment to be tested corresponding to the identification on the cable map, and performs a highlighting operation on the cable segment to be tested to obtain a highlighted area;

[0024] The cable map system receives a click command on the highlighted area, and based on the click command, the cable map system displays the information of the cable segment to be tested on the interface.

[0025] In one possible implementation of the first aspect, the step of characterizing the detection point information to obtain the detection features of the cable segment under test includes:

[0026] The environmental information of the cable segment under test is characterized to obtain environmental features;

[0027] The location information of the cable segment under test is characterized to obtain location features;

[0028] The usage time information of the cable segment under test is characterized to obtain time features.

[0029] In one possible implementation of the first aspect, obtaining the test result of the cable segment under test based on the performance test data of the cable segment under test, the test characteristics of the cable segment under test, and the performance test data of the target cable includes:

[0030] The environmental features, location features, time features, and performance testing data of the target cable are input into a first prediction model so that the first prediction model predicts the current performance testing data of the target cable, thereby obtaining target performance testing data; wherein, the first prediction model is a pre-trained machine learning model, and the target performance testing data is ideal performance testing data under the influence of environment, location, and usage time;

[0031] The deviation between the performance test data of the cable segment under test and the target performance test data is calculated, and it is determined whether the deviation is within a preset range to obtain a judgment result; wherein, the judgment result is used to indicate whether the deviation is within the preset range or whether the deviation is not within the preset range;

[0032] Based on the judgment result, the operation corresponding to the judgment result is performed to obtain the operation result; wherein, the operation result includes the life prediction result or the fault detection result;

[0033] The deviation value, the judgment result, and the operation result are integrated to obtain the detection result.

[0034] In one possible implementation of the first aspect, the step of performing an operation corresponding to the judgment result to obtain an operation result includes:

[0035] When the judgment result indicates that the deviation value is within the preset range, the environmental characteristics, the location characteristics, and the performance test data of the cable segment under test are input into the second prediction model so that the second prediction model predicts the lifespan and performance degradation trend of the cable segment under test, and obtains the lifespan prediction result; wherein, the second prediction model is a pre-trained machine learning model;

[0036] When the judgment result indicates that the deviation value is not within the preset range, based on the performance test data of the cable segment under test, fault detection and health assessment are performed on the cable segment under test to obtain the fault detection result.

[0037] In one possible implementation of the first aspect, the step of performing fault detection and health assessment on the cable segment under test based on the performance test data of the cable segment under test to obtain the fault detection result includes:

[0038] Acquire an infrared thermal image of the cable segment under test;

[0039] Based on the performance test data of the cable segment under test and the infrared thermal imaging image, the fault type of the cable segment under test is determined, and fault type information is obtained.

[0040] Based on the performance test data of the cable segment under test and the fault type information, the health status of the cable segment under test is assessed, and a health assessment report is obtained.

[0041] The fault type information and the health assessment report are integrated to obtain the fault detection result.

[0042] In one possible implementation of the first aspect, determining the fault type of the cable segment under test based on the performance test data and the infrared thermal imaging image, and obtaining fault type information, includes:

[0043] Feature extraction is performed on the partial discharge test data in the performance test data of the cable segment under test to obtain partial discharge features, and discharge type information is obtained based on the partial discharge features; wherein, the discharge type information includes internal discharge, surface discharge, surface discharge, and floating potential discharge;

[0044] Feature extraction is performed on the infrared thermal imaging image of the cable segment under test to obtain thermal imaging features, and thermal anomaly type information is obtained based on the thermal imaging features; wherein, the thermal anomaly type information includes local overheating, temperature gradient, temperature abrupt change point, and uneven distribution of hot spots;

[0045] Based on the discharge type information and the thermal anomaly type information, the fault type of the cable segment under test is determined, and the fault type information is obtained.

[0046] In one possible implementation of the first aspect, determining the fault type of the cable segment under test based on the discharge type information and the thermal anomaly type information, and obtaining the fault type information, includes:

[0047] When the discharge type information indicates that the discharge type is internal discharge, and the thermal anomaly type information indicates that the thermal anomaly type is local overheating, the fault type of the cable segment under test is determined to be the first fault type; wherein, the first fault type includes internal insulation fault.

[0048] When the discharge type information indicates that the discharge type is surface discharge, and the thermal anomaly type information indicates that the thermal anomaly type is uneven hot spot distribution, the fault type of the cable segment under test is determined to be the second fault type; wherein, the second fault type includes faults caused by cable surface contamination or moisture;

[0049] When the discharge type information indicates that the discharge type is surface discharge and the thermal anomaly type information indicates that the thermal anomaly type is temperature gradient, the fault type of the cable segment under test is determined to be the third fault type; wherein, the third fault type includes the presence of dirt, salt deposits or water vapor on the insulation surface;

[0050] When the discharge type information indicates that the discharge type is floating potential discharge, and the thermal anomaly type information indicates that the thermal anomaly type is a temperature change point or local overheating, the fault type of the cable segment under test is determined to be the fourth fault type; wherein, the fourth fault type includes poor connection or conductor problem.

[0051] Secondly, embodiments of this application provide a performance testing device for cross-linked polyolefin insulated environmentally friendly power cables, comprising:

[0052] The first acquisition unit is used to acquire the cable segment information of the cross-linked polyolefin insulated environmentally friendly power cable to be tested; wherein, the cable segment information includes detection point information and cable model of the cable segment to be tested, and the detection point information includes the performance test data of the cable segment to be tested, the environmental information of the cable segment to be tested, the location information of the cable segment to be tested, and the usage time information of the cable segment to be tested;

[0053] The lookup unit is used to search for the cable corresponding to the cable model of the cable segment to be tested from the cable database to obtain the target cable information; wherein, the cable database is constructed by collecting the initial performance test data of different models of cross-linked polyolefin insulated environmentally friendly power cables;

[0054] The second acquisition unit is used to acquire performance test data of the target cable from the cable database based on the target cable information;

[0055] The first processing unit is used to perform feature processing on the detection point information to obtain the detection features of the cable segment to be tested;

[0056] The second processing unit is used to obtain the test result of the cable segment under test based on the performance test data of the cable segment under test, the test characteristics of the cable segment under test, and the performance test data of the target cable.

[0057] Thirdly, embodiments of this application provide a performance testing device for cross-linked polyolefin insulated environmentally friendly power cables, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in any of the embodiments of the first aspect.

[0058] It is understood that the beneficial effects of the second and third aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0060] Figure 1 This is a schematic flowchart of a method for testing the performance of cross-linked polyolefin insulated environmentally friendly power cables according to an embodiment of this application;

[0061] Figure 2 This is a schematic diagram of the implementation process of step S100 in the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0062] Figure 3 This is a partial flowchart of a method for testing the performance of cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0063] Figure 4This is a schematic diagram of the implementation process of step S400 in the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0064] Figure 5 This is a schematic diagram of the implementation process of step S500 in the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0065] Figure 6 This is a schematic diagram of the implementation process of step S530 in the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0066] Figure 7 This is a schematic diagram of a portion of the implementation process of step S532 in the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0067] Figure 8 This is a schematic diagram of the implementation process of step S5322 in the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0068] Figure 9 This is a schematic diagram of the implementation process of step S53223 in the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application;

[0069] Figure 10 This is a schematic diagram of the performance testing device for cross-linked polyolefin insulated environmentally friendly power cables provided in this application embodiment;

[0070] Figure 11 This is a schematic diagram of the performance testing equipment for cross-linked polyolefin insulated environmentally friendly power cables provided in this application embodiment. Detailed Implementation

[0071] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0072] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0073] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0074] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0075] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0076] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0077] In related technologies, cross-linked polyolefin insulated environmentally friendly power cables may be installed underground, underwater, or in other locations where direct access is difficult, making direct testing complex and expensive. For example, underground or overhead cables are located at high altitudes, making it difficult for traditional testing equipment to cover them. Testing the performance of cross-linked polyolefin insulated environmentally friendly power cables requires trained operators and analysts to perform testing tasks and data analysis, increasing human resource costs.

[0078] To address the aforementioned issues, this application provides a method, apparatus, and equipment for testing the performance of cross-linked polyolefin insulated environmentally friendly power cables.

[0079] This method first obtains information about the cross-linked polyolefin insulated environmentally friendly power cable segment to be tested, which helps determine the testing point information and cable model of the segment. Then, it searches a cable database for the cable corresponding to the cable model of the segment to be tested, obtaining the target cable information. Based on this target cable information, it retrieves the performance testing data of the target cable from the cable database and performs feature processing on the testing point information to obtain the testing characteristics of the segment to be tested. Finally, based on the performance testing data, the testing characteristics, and the performance testing data of the target cable, the testing result of the segment to be tested is obtained. This method facilitates the testing of the performance of cross-linked polyolefin insulated environmentally friendly power cables that are difficult to test due to geographical location. This method not only improves the efficiency and accuracy of performance testing of cross-linked polyolefin insulated environmentally friendly power cables but also reduces testing costs.

[0080] The performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in this application embodiment can be applied to cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment. In this case, the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment is the subject of execution of the cross-linked polyolefin insulated environmentally friendly power cable performance testing method provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment.

[0081] For example, a performance testing device for cross-linked polyolefin insulated environmentally friendly power cables may include testing point equipment, infrared thermal imaging equipment, and a control device that communicates with the testing point equipment and the infrared thermal imaging equipment. The testing point equipment is capable of detecting the performance, environment, location, and usage time of the cable segment under test of the cross-linked polyolefin insulated environmentally friendly power cable; it may include electrical performance sensors, strain sensors, environmental sensors, timers, etc. The infrared thermal imaging equipment is capable of capturing images of the temperature distribution of the cable segment under test; it may include handheld infrared thermal imagers, fixed infrared thermal imaging cameras, laboratory infrared thermal imaging equipment, etc. The control device is capable of data processing and controlling the testing point equipment and the infrared thermal imaging equipment; it may be a WLAN station (STAION, ST), a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant. Mobile devices such as assistants (PDAs), desktop computers, smart screens, smart TVs, handheld devices with wireless communication capabilities, computing devices or other processing devices connected to a wireless modem, computers, laptops, handheld communication devices, handheld computing devices, satellite wireless devices, customer premises equipment (CPE), and / or other devices used for communication over wireless systems, as well as next-generation communication systems, such as mobile terminals in 5G networks or mobile terminals in future evolved Public Land Mobile Network (PLMN) networks.

[0082] To better understand the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in this application, the specific implementation process of the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables provided in this application will be described below by way of example.

[0083] Figure 1 This paper presents a schematic flowchart of a performance testing method for cross-linked polyolefin insulated environmentally friendly power cables according to an embodiment of this application. The performance testing method for cross-linked polyolefin insulated environmentally friendly power cables includes:

[0084] S100: Obtain the information of the cable segment to be tested from the cross-linked polyolefin insulated environmentally friendly power cable. The cable segment information includes testing point information and the cable model of the cable segment. The testing point information includes performance test data of the cable segment, environmental information of the cable segment, location information of the cable segment, and usage time information of the cable segment.

[0085] It is understandable that the performance test data of the cable segment under test can include electrical performance data, mechanical performance data, and partial discharge data. Electrical performance data includes current, voltage, resistance, and insulation resistance; mechanical performance data includes strain and vibration; and partial discharge data includes discharge intensity and discharge frequency.

[0086] The environmental information of the cable segment to be tested can include the environmental conditions of the cable segment, including temperature, humidity, climate conditions (such as being exposed to the elements or buried underground) and chemical environment (such as whether it is exposed to acidic or alkaline substances).

[0087] The location information of the cable segment to be tested can be the specific installation location of the cable segment, including geographical coordinates, installation height (such as overhead cable, underground cable) and relative position with other equipment.

[0088] The usage time information of the cable segment under test can include the installation time, years of use, and cumulative operating time of the cable segment under test.

[0089] The cable model of the cable segment to be tested may include the cable type, specifications (such as voltage rating, cross-sectional area, etc.), manufacturer and production batch information.

[0090] For example, the performance test data and environmental information of the cable segment under test can be obtained by sensors, the location information of the cable segment under test can be obtained by GPS or other positioning sensors, and the usage time information of the cable segment under test can be obtained by a counter.

[0091] Current sensors can be used to measure the current transmitted through a cable and monitor its load; voltage sensors can be used to measure the voltage at both ends of the cable and monitor its voltage level and fluctuations; online resistance sensors can be used to detect changes in cable resistance and determine its conductivity and contact condition; and insulation resistance sensors can be used to assess the integrity of the cable insulation and detect whether there is insulation aging or damage.

[0092] Strain sensors can be used to measure the mechanical stress and deformation of cables during operation, thereby assessing the mechanical stability of the cables; vibration sensors can be used to monitor the vibration of cables, especially the vibration response under the influence of mechanical equipment or external environment.

[0093] Partial discharge sensors can be used to detect partial discharge activity inside or on the surface of cables, assessing the health of cable insulation; and record the frequency of partial discharge events to help identify potential areas of insulation degradation.

[0094] Environmental sensors can be used to detect the environment surrounding the cable segment under test. For example, a temperature sensor can be used to detect the temperature around the cable segment under test, and a humidity sensor can be used to detect the humidity around the cable segment under test.

[0095] Sensor technology plays a crucial role in cable performance testing, providing direct data on electrical, mechanical, and environmental aspects. It not only facilitates real-time monitoring of cable operating status but also enables long-term health assessments and fault prediction, ensuring the safety and reliability of cable systems.

[0096] In one possible implementation, please refer to Figure 2 S100, Obtain the cable segment information of the cross-linked polyolefin insulated environmentally friendly power cable to be tested, including:

[0097] S110, Obtain the identification of the cable segment to be tested.

[0098] Understandably, barcode or QR code labels can be affixed to each segment of the cable. These labels contain coded cable segment information, such as model number, production batch number, and installation date.

[0099] RFID tags can be used to identify cables, and cable information can be read remotely through a specialized RFID reader without direct visual contact.

[0100] For example, mobile applications can be developed or adopted, enabling field technicians to scan cable tags using smartphones or tablets to instantly access and update cable segment information. Cloud services can be used to synchronize and back up cable data, ensuring secure and reliable access to information.

[0101] S120 generates an acquisition command based on the identifier of the cable segment under test. The acquisition command includes the identifier of the cable segment under test and the access request.

[0102] For example, determining the basic information elements that the instruction needs to include may include the identifier of the cable segment under test and the access request type. The type of access request is specified, such as a query, update, or delete operation. JSON (JavaScript Object Notation) can be used as the instruction format because it is easy to read and write and is widely supported in various programming environments. XML (eXtensible Markup Language) can also be used, especially when compatibility with legacy systems is required. A function in the backend system can be implemented to automatically generate instructions in the selected format based on the cable segment identifier.

[0103] S130, based on the access request, access the cable map database.

[0104] As can be understood, an access request is used to define the specific operation for interacting with the database, such as querying, updating, or deleting data. In this step, the access request will be specified as retrieving data from the cable map database.

[0105] For example, one or more API interfaces can be defined. These API interfaces will be used to receive access requests and interact with the cable map database. The API interfaces should specify the request format, required parameters, structure of the returned data, and possible error responses. Ensure all access requests are strictly authenticated and authorized. Use modern authentication mechanisms such as OAuth and JWT (JSON Web Tokens) to control access permissions and protect data from unauthorized access. The interfaces need to be able to correctly parse requests from the front end or other systems, extract key information (such as cable segment identifiers and request types), and perform appropriate database operations, such as querying, updating, or deleting data, based on the request type. Query statements for the cable map database can be optimized to ensure efficient execution, especially when handling large amounts of data, which may involve index creation, query optimization, and appropriate caching strategies. When processing requests, ensure all database operations are executed correctly within a single transaction to maintain data consistency and integrity.

[0106] S140, according to the acquisition instruction, retrieve the information of the cable segment to be tested corresponding to the identifier of the cable segment to be tested from the cable map database.

[0107] For example, before executing a query, the validity of the cable segment identifier can be verified, the identifier format can be checked to ensure it conforms to predetermined rules, and its existence can be checked in the database. This helps to avoid executing invalid or erroneous queries and improves the efficiency and security of the system.

[0108] Based on the parsed cable segment identifiers, database queries are constructed using a specific query language, such as SQL, to locate entries in the cable map database that match the cable segment identifiers. Data retrieved from the database may require further processing to conform to output specifications. For example, dates and times may need to be converted to a more general format, or the data structure may need to be adjusted for API consumption. If the cable segment information is related to other data (such as maintenance history, related facilities, or ancillary equipment information), additional queries may be needed to aggregate all relevant information, ensuring that the returned data is comprehensive and useful.

[0109] The processed data is encapsulated into a structured response format, such as JSON or XML, and then sent back to the requester via the API. Ensure the response contains sufficient information to meet the requester's needs while maintaining the security of data transmission.

[0110] By following these steps, we can ensure that the required cable segment information is obtained accurately and efficiently from the cable map database, while maintaining the overall performance of the system and user satisfaction.

[0111] In one possible implementation, please refer to Figure 3 The performance testing methods for cross-linked polyolefin insulated environmentally friendly power cables also include:

[0112] S101, the cable map system receives a query request.

[0113] For example, creating a cable mapping system requires collecting and organizing all relevant data, including: cable segment identifiers (unique identifiers for each cable segment); cable type (specific model and specifications); performance test data (such as resistance, insulation resistance, temperature, and current); environmental conditions (temperature, humidity, and chemical composition of the environment where the cable is located); location information (geographic coordinates and installation depth of the cable); and usage time (the time the cable has been in use since installation). A database containing all the above data should be created. This can be a relational database (such as MySQL or PostgreSQL) or a NoSQL database (such as MongoDB). The database table structure should be designed to store and manage information for all cable segments. A Geographic Information System (GIS) can be used to create the cable map. The cable segment information can be imported into the GIS system, ensuring that each cable segment has a unique identifier and geographic coordinates. The path of each cable segment can be drawn on the GIS platform. Existing map data can be used as a background, or a custom map layer can be created as needed. Attributes can be added to each cable segment, including cable type, performance test data, environmental conditions, location information, and usage time.

[0114] A query interface can be developed or the built-in functions of the GIS system can be utilized to allow users to query cable segment information based on identifiers. Users can click on a cable segment on the map to view its detailed information; users can also enter a cable identifier to locate and view the information of the corresponding cable segment on the map.

[0115] When a user logs into the cable map system, the user can click the query button on the cable map system's display interface. At this time, a query request is generated and sent to the cable map system's backend, and the cable map system receives the query request.

[0116] S102, Based on the query request, the cable map system displays a query box on the interface.

[0117] For example, after receiving a query request, the cable map system provides an intuitive query box on the display interface, which is used to input cable segment identifiers or other relevant search criteria.

[0118] The query box can be designed to be easy to access and use, providing clear instructions on what types of information users can enter (such as cable segment identification, location information, etc.).

[0119] S103, the cable map system obtains the identification of the cable segment to be tested through the query box.

[0120] For example, when a user enters the identifier of the cable segment to be tested through a query box, the cable map system needs to process the input, verify whether the identifier of the cable segment to be tested is in the correct format, and confirm whether the identifier of the cable segment to be tested exists in the database.

[0121] S104. Based on the identification of the cable segment to be tested, the cable map system locates the cable segment to be tested corresponding to the identification on the cable map and performs a highlighting operation on the cable segment to be tested to obtain the highlighted area.

[0122] For example, a cable mapping system locates the corresponding cable segment on a cable map based on the cable segment identifier provided by the user. This may involve complex spatial queries, especially in large or detailed map datasets. The cable mapping system highlights the located cable segments, which can be distinguished using different colors or bold lines to ensure easy identification by the user.

[0123] S105, the cable map system obtains the click command for the highlighted area, and based on the click command, the cable map system displays the information of the cable segment to be tested on the interface.

[0124] For example, the highlighted areas can support user interaction, such as clicking. When a user clicks on a highlighted cable segment, the cable map system can capture this click command and trigger the corresponding function.

[0125] After the user clicks on the highlighted area, the cable mapping system displays detailed information about the cable segment under test on the interface, including the cable type, usage time, and relevant performance data. The information can be displayed in a sidebar, pop-up window, or dedicated information panel, providing a clear and easy-to-read visual layout.

[0126] The cable mapping system should provide help or prompts to guide users on how to correctly use the query and map functions. Ensure the cable mapping system functions effectively on various devices, especially those with different resolutions and screen sizes. Ensure that only authorized users can access sensitive or critical cable information to prevent data leakage.

[0127] Through these steps, the cable map system can provide users with an efficient, intuitive, and highly interactive query and data display platform, greatly improving user experience and operational efficiency.

[0128] S200: The system searches the cable database for the cable model corresponding to the cable segment under test, obtaining the target cable information. The cable database is constructed by collecting initial performance test data of different models of cross-linked polyolefin insulated environmentally friendly power cables.

[0129] For example, before executing a query, one can understand the structure of the cable database, including the organization of various data fields and related data tables, such as model number, performance test data, and manufacturing date. Based on the structure of the cable database, an effective query strategy can be developed, which may include querying directly by model number or using join queries to aggregate information from different data tables. The cable model number can be used as a key index to execute queries to retrieve corresponding cable information, including basic model information, initial performance test data, etc. Ensure the retrieved data is complete and error-free; all important fields should be fully populated. Compare the information in the database with field records or the cable's own identification to ensure data accuracy and consistency with the cable model number.

[0130] This step allows for the effective retrieval of the target cable corresponding to the cable segment model under test from the cable database, thus providing a foundation for subsequent acquisition of performance testing data for the target cable.

[0131] S300 retrieves performance test data of the target cable from the cable database based on the target cable information.

[0132] For example, determine which performance indicators need to be retrieved, which may include electrical performance (such as current, insulation resistance, etc.), mechanical performance (such as strain, vibration, etc.), and partial discharge (such as discharge intensity, discharge frequency, etc.). Define the required data range, such as the initial factory test results. Use the acquired target cable information (such as model number, batch number, etc.) as search keywords to ensure that the retrieved data matches the required cable model.

[0133] Constructing complex queries may require combining multiple fields for conditional queries to obtain complete performance test records. Execute queries in the cable database to retrieve performance test data matching the target cable model. Verify the completeness and accuracy of the query results, ensuring all necessary performance indicators have been retrieved. Extract necessary performance data from the query results, which may require converting data formats or units for analysis and reporting. Check the data's reasonableness and consistency, confirming the absence of errors or omissions.

[0134] Data can be presented in the form of charts, tables, or reports to ensure that the information is clear and easy to understand in order to support further decision-making and analysis.

[0135] S400 performs feature processing on the detection point information to obtain the detection features of the cable segment under test.

[0136] For example, standardizing data from different sources or different units makes the information at the detection points comparable, removes redundant information, corrects erroneous data, and handles missing values, thus ensuring the integrity and accuracy of the data.

[0137] Extract fundamental features from the raw data, such as direct measurements like current, voltage, insulation resistance, and discharge intensity. Calculate statistical characteristics of the data, such as mean, maximum, minimum, standard deviation, and rate of change. Integrate data from different sources, for example, combining performance testing data with environmental, location, and usage time information to form a comprehensive dataset. Fuse different types of data features together to form a high-dimensional feature vector. Analyze the correlation between each feature and cable performance, selecting those features that have a significant impact on performance evaluation. Dimensionality reduction techniques (such as Principal Component Analysis (PCA)) can be used to reduce the dimensionality of features, retaining the most representative features while reducing redundant information. Label the extracted features, noting the physical meaning and calculation method of each feature for subsequent analysis and interpretation. Store the processed feature data in a feature library for easy retrieval and use.

[0138] This step allows for the systematic and scientific characterization of the detection point information, resulting in detailed detection characteristics of the cable segment under test. This not only helps in gaining a deeper understanding of the cable's performance status but also provides a solid data foundation for subsequent analysis and decision-making.

[0139] In one possible implementation, please refer to Figure 4 S400 performs feature processing on the detection point information to obtain the detection features of the cable segment under test, including:

[0140] S410 performs feature processing on the environmental information of the cable segment under test to obtain environmental features.

[0141] For example, environmental data (environmental information) of the cable segment under test can be preprocessed to remove irrelevant or abnormal data, correct erroneous records, and standardize data from different units to the same scale for easy comparison. Statistical indicators such as mean, standard deviation, and extreme values ​​can be calculated to analyze the changing trends and fluctuations of environmental parameters, such as seasonal variations and diurnal temperature ranges. The frequency and duration of extreme environmental events, such as high temperature, high humidity, and exposure to corrosive gases, can be recorded.

[0142] S420 performs feature processing on the location information of the cable segment under test to obtain location features.

[0143] For example, ensure the accuracy of geographic coordinates and location information, and correct any errors or inconsistencies in the data. Extract the geographic regional characteristics of the cable segment, such as altitude, geological conditions, and climate zones. Analyze the spatial relationship between the cable segment and other key facilities, such as the distance to substations, transmission towers, and underground pipelines. Consider the special environmental impacts of the cable location, such as wind loads for overhead cables, soil conditions for underground cables, and water depth and current velocity for underwater cables.

[0144] S430 performs feature processing on the usage time information of the cable segment under test to obtain time features.

[0145] For example, duplicate or erroneous records can be removed to ensure the accuracy of time recording. Feature extraction is performed on the usage time information of the cable segment under test, including time characteristics, aging characteristics, and maintenance frequency. The total operating time, average working time, and downtime of the cable are calculated; the performance change trend of the cable over time is analyzed, such as increased resistance and decreased insulation resistance; the frequency of maintenance and repairs and their impact on cable performance are calculated.

[0146] Through the above steps, environmental information, location information, and usage time information are characterized to obtain environmental characteristics, location characteristics, and time characteristics, respectively. These characteristics can be combined to comprehensively assess the performance status of the cable segment under test, predict potential failure risks, and formulate corresponding maintenance and management strategies.

[0147] S500 obtains the test results of the cable segment under test based on the performance test data of the cable segment under test, the test characteristics of the cable segment under test, and the performance test data of the target cable.

[0148] For example, performance test data of the cable segment under test can be compared with the initial performance data of the target cable to identify performance differences. For instance, parameters such as current, voltage, and insulation resistance can be compared to determine if they are within normal ranges. The test characteristics (environmental, location, and time characteristics) of the cable segment under test can be compared with the standard environmental conditions of the target cable to assess the impact of environmental factors on performance. The operating time and maintenance history of the cable segment under test can be analyzed to assess its potential impact on cable performance.

[0149] The performance data comparison results are integrated with the feature comparison analysis results to form comprehensive evaluation data. The performance deviation of the cable segment under test is calculated to determine whether it is within the normal range of the target cable. Statistical methods, such as mean, standard deviation, and confidence intervals, can be used to assess the performance deviation. Based on the test characteristics, the impact of environmental conditions and usage time on cable performance is evaluated. For example, prolonged high-temperature environments may lead to a decline in insulation performance. According to predetermined judgment criteria (such as industry standards and company specifications), the performance of the cable segment under test is determined to be qualified, and the test results are classified, such as "qualified," "requires repair," and "unqualified."

[0150] Detailed test reports can be prepared, including: basic information, identification and model of the cable segment under test; performance comparison results, comparison of various performance parameters; impact analysis, assessment of the impact of environment, location and usage time on performance; comprehensive evaluation, assessment results of comprehensive performance deviation and characteristic effects; conclusions and recommendations, final test conclusions and recommended maintenance measures.

[0151] Based on the test results and feedback, the testing methods and judgment standards can be continuously improved to enhance the accuracy and effectiveness of cable testing.

[0152] By taking into account the performance test data and characteristics of the cable segment under test and the performance test data of the target cable, comprehensive and accurate test results of the cable segment under test can be obtained, providing a scientific basis for subsequent maintenance and management.

[0153] In one possible implementation, please refer to Figure 5 S500, based on the performance test data of the cable segment under test, the test characteristics of the cable segment under test, and the performance test data of the target cable, obtains the test results of the cable segment under test, including:

[0154] S510, environmental characteristics, location characteristics, time characteristics, and the performance testing data of the target cable are input into the first prediction model, so that the first prediction model predicts the current performance testing data of the target cable, thus obtaining the target performance testing data. Here, the first prediction model is a pre-trained machine learning model, and the target performance testing data is the ideal performance testing data under the influence of environment, location, and usage time.

[0155] For example, environmental condition information, location information, usage time, initial performance test data, and target performance test data can be collected. The target performance test data is the performance data obtained through actual testing after a certain period of time, such as increased resistance or insulation degradation, which will be used as the prediction target of the model.

[0156] Transform raw data into features usable by the model, such as extracting runtime from dates or encoding location information as categorical variables; remove or fill missing values ​​and handle outliers; standardize or normalize data to eliminate the influence of units, especially for models involving distance calculations (such as K-nearest neighbors, support vector machines, etc.).

[0157] Predictive models can be selected, such as linear regression, decision trees and random forests, gradient boosting machines (GBM), neural networks, etc. Data is divided into training, validation, and test sets. K-fold cross-validation is used to evaluate the model's stability and reliability. Grid search or random search is used to find the optimal model parameters. Mean squared error (MSE), root mean squared error (RMSE), and coefficient of determination (R²) are used. 2 To evaluate the accuracy of the model, consider factors such as decision trees and random forests. For models like decision trees and random forests, assess which variables have the greatest impact on the prediction results and use feature importance scores to interpret the model's behavior. Regularly check the model's predictive accuracy and update the model based on new data.

[0158] The system can preprocess environmental characteristics, location characteristics, time characteristics, and initial performance test data of the target cable to ensure that the data format is consistent with the input format of the prediction model. The processed environmental characteristics, location characteristics, time characteristics, and initial performance test data of the target cable are then input into the first prediction model. The model is run to predict the performance test data of the target cable under the current environmental, location, and usage time conditions. The model output is the target performance test data, which reflects the ideal performance of the cable under the current conditions. The target performance test data output by the model is checked to ensure its rationality and accuracy.

[0159] S520 calculates the deviation between the performance test data of the cable segment under test and the target performance test data, and determines whether the deviation is within a preset range, obtaining a judgment result. The judgment result indicates whether the deviation is within or outside the preset range.

[0160] For example, for each performance indicator, the difference between the actual value (performance test data of the cable segment under test) and the target value (target performance test data) is calculated using the formula: Deviation = Actual Performance Test Data - Target Performance Test Data. The allowable deviation range for each performance indicator can be determined based on industry standards, company specifications, or experience. For example, the allowable deviation range for resistance could be ±5%.

[0161] If the deviation value is within the preset range, the performance indicator is considered normal. For example, if the preset range for resistance is ±5%, and the deviation between the actual resistance and the target resistance is within this range, the resistance indicator is normal. If the deviation value exceeds the preset range, the performance indicator is considered abnormal, requiring further inspection or corrective action. For example, if the resistance deviation value exceeds ±5%, the resistance indicator is abnormal. If the deviation values ​​of all performance indicators are within the preset range, the overall judgment result is normal, and the system can display or record "All performance indicators are normal". If the deviation value of any one or more performance indicators is outside the preset range, the overall judgment result is abnormal, and the system should display or record which specific performance indicators are abnormal.

[0162] Record the deviation value of each performance indicator and the judgment result of whether the deviation value is within the preset range for subsequent analysis and auditing. Output the overall judgment result to indicate the performance status of the cable segment under test.

[0163] S530: Based on the judgment result, execute the operation corresponding to the judgment result to obtain the operation result. The operation result includes the life prediction result or the fault detection result.

[0164] For example, if the deviation value is within a preset range, a pre-trained lifespan prediction model can be used to predict the remaining lifespan of the cable based on current performance testing data and historical operating data. The current performance testing data, environmental characteristics, location characteristics, and usage time characteristics are input into the lifespan prediction model. The model outputs the estimated remaining lifespan of the cable, and the lifespan prediction results are recorded and provided to the maintenance team for long-term planning and maintenance.

[0165] If the judgment result indicates that the deviation value is outside the preset range, a pre-trained fault detection model can be used to analyze the cause of the fault based on the abnormal performance detection data. The abnormal performance detection data and related characteristics (environment, location, time) are input into the fault analysis model. The model outputs possible fault types and causes, such as insulation damage, conductor breakage, and environmental influences, and provides corresponding maintenance suggestions or repair measures, such as replacing cable sections, strengthening insulation protection, and improving environmental conditions. The model records and outputs the fault detection results, including the fault type, cause analysis, and maintenance suggestions.

[0166] Optionally, please refer to Figure 6 S530, based on the judgment result, execute the operation corresponding to the judgment result to obtain the operation result, including:

[0167] S531, when the judgment result indicates that the deviation value is within the preset range, the environmental characteristics, location characteristics and performance test data of the cable segment to be tested are input into the second prediction model so that the second prediction model can predict the life and performance degradation trend of the cable segment to be tested and obtain the life prediction result; wherein, the second prediction model is a machine learning model pre-trained.

[0168] Understandably, the second prediction model is a pre-trained machine learning model that can predict the lifespan and performance degradation trend of cable segments based on the input environmental features, location features, and performance testing data.

[0169] For example, environmental characteristics, location characteristics, and performance test data of the cable segment under test are input into a second prediction model. The second prediction model predicts the remaining service life of the cable segment under test and the performance change trend of the cable segment under test in the future, such as increased resistance and decreased insulation performance.

[0170] Record and output the predicted remaining lifespan and performance degradation trend charts or data.

[0171] S532, when the judgment result indicates that the deviation value is not within the preset range, based on the performance test data of the cable segment under test, fault detection and health assessment are performed on the cable segment under test to obtain the fault detection result.

[0172] For example, based on performance test data, possible fault types, such as insulation damage or conductor breakage, can be identified, and possible causes of performance deviations, such as environmental factors or mechanical damage, can be analyzed to assess the overall health of the cable segment and determine whether immediate maintenance or replacement is necessary.

[0173] Record fault types, cause analysis, maintenance recommendations, and health assessment results to provide a comprehensive health score or status indication for the cable segment.

[0174] Through these steps, based on the results of the deviation assessment, corresponding lifespan prediction or fault detection operations can be performed, thereby obtaining comprehensive cable segment inspection and evaluation results.

[0175] For example, please refer to Figure 7 In step S532, based on the performance test data of the cable segment under test, fault detection and health assessment are performed on the cable segment under test to obtain fault detection results, including:

[0176] S5321, acquire infrared thermal imaging image of the cable segment under test.

[0177] For example, an infrared thermal imaging device is used to capture an image of the temperature distribution on the surface of the cable segment under test, resulting in an infrared thermal image. The clarity and resolution of the infrared thermal image should be ensured to be suitable for fault detection and analysis.

[0178] S5322: Based on the performance test data and infrared thermal imaging image of the cable segment under test, determine the fault type of the cable segment under test and obtain fault type information.

[0179] For example, performance test data (such as current, voltage, insulation resistance, and discharge strength) of the cable segment under test are combined with infrared thermal imaging images for analysis. By analyzing the temperature distribution and abnormal hot spots in the infrared thermal imaging images, potential fault areas are identified. By combining outliers and trends in the performance test data, the fault type is further determined. Based on the extracted features and analysis results, the specific fault type is determined, such as localized overheating, insulation aging, or conductor breakage.

[0180] Optionally, please refer to Figure 8 S5322, Based on the performance test data and infrared thermal imaging image of the cable segment under test, determine the fault type of the cable segment under test and obtain fault type information, including:

[0181] S53221 extracts features from partial discharge test data in the performance testing data of the cable segment under test to obtain partial discharge features, and obtains discharge type information based on the partial discharge features. The discharge type information includes internal discharge, surface discharge, surface discharge, and floating potential discharge.

[0182] It is understandable that internal discharge typically exhibits high amplitude, low frequency discharge characteristics, with a relatively sharp waveform. Surface discharge exhibits medium amplitude and frequency, with a relatively smooth waveform and a longer duration. Surface discharge has a higher frequency, medium amplitude, and its waveform characteristics propagate along the cable surface. Floating potential discharge has a high frequency, low amplitude, and its waveform characteristics are characterized by multiple small discharges.

[0183] For example, some discharge test data in the performance test data of the cable segment under test can be cleaned and standardized to ensure the integrity and consistency of the data.

[0184] Extract the amplitude of each discharge to analyze the discharge intensity; count the number of discharges per unit time to analyze the frequency and periodicity of the discharge; analyze the shape, rise time, duration, and other characteristics of the discharge waveform. Based on these partial discharge characteristics, determine the discharge type information.

[0185] S53222 extracts features from the infrared thermal imaging image of the cable segment under test to obtain thermal imaging features, and obtains thermal anomaly type information based on the thermal imaging features. The thermal anomaly type information includes localized overheating, temperature gradients, temperature abrupt changes, and uneven hotspot distribution.

[0186] It is understandable that localized overheating appears as a distinctly high-temperature area in the thermal imaging image, with a significant temperature difference from the surrounding area. A temperature gradient indicates an uneven temperature distribution in the thermal imaging image, showing a clear temperature gradient. A temperature abrupt change point is a point in the thermal imaging image where the temperature suddenly changes, with a large temperature difference from the surrounding area. Uneven hotspot distribution refers to multiple small hotspots scattered across the thermal imaging image, resulting in an overall uneven temperature distribution.

[0187] For example, infrared thermal imaging images can be processed to enhance image clarity and contrast. The temperature distribution across the entire cable segment can be analyzed to identify areas of localized overheating. The temperature gradient on the cable surface can be calculated to identify areas of drastic temperature changes. Points with rapid temperature changes may indicate potential faults. The uniformity of hotspot distribution can be analyzed to identify unevenly distributed hotspot areas.

[0188] S53223, based on the discharge type information and thermal anomaly type information, determines the fault type of the cable segment under test and obtains the fault type information.

[0189] For example, discharge type information and thermal anomaly type information are combined to cross-validate identified defects and fault points. Partial discharge testing identifies minute discharge activity within the cable insulation, while infrared thermal imaging detects localized overheating caused by the discharge. Fault points are precisely located, and fault types are classified based on the characteristics of partial discharge and thermal imaging, such as insulation aging, localized damage, or poor conductor connections.

[0190] For example, please refer to Figure 9 S53223, based on discharge type information and thermal anomaly type information, determines the fault type of the cable segment under test, and obtains fault type information, including:

[0191] S532231, when the discharge type information indicates that the discharge type is internal discharge, and the thermal anomaly type information indicates that the thermal anomaly type is local overheating, the fault type of the cable segment under test is determined to be the first fault type. The first fault type includes internal insulation faults.

[0192] For example, if the discharge type is internal discharge, that is, a large discharge amplitude and the waveform is in the middle region of the phase angle, and the thermal anomaly type is local overheating, it can be determined that the fault type of the cable segment under test is internal insulation fault, that is, there are air bubbles or voids inside the insulation material, which may cause local insulation damage.

[0193] S532232, when the discharge type information indicates that the discharge type is surface discharge, and the thermal anomaly type information indicates that the thermal anomaly type is uneven hot spot distribution, the fault type of the cable segment under test is determined to be the second fault type. The second fault type includes faults caused by cable surface contamination or moisture.

[0194] For example, the discharge type is surface discharge, that is, small amplitude high frequency discharge, the waveform is at both ends of the phase angle, the thermal anomaly type is uneven hot spot distribution, and it can be determined that the fault type of the cable segment under test is a fault caused by cable surface contamination or moisture.

[0195] S532233, when the discharge type information indicates that the discharge type is surface discharge, and the thermal anomaly type information indicates that the thermal anomaly type is temperature gradient, the fault type of the cable segment under test is determined to be the third fault type. The third fault type includes the presence of dirt, salt deposits, or moisture on the insulation surface.

[0196] For example, the discharge type is surface discharge, that is, irregular discharge signal with a wide range, and the thermal anomaly type is temperature gradient. This can determine that the fault type of the cable segment under test is the presence of dirt, salt deposits or water vapor on the insulation surface.

[0197] S532234, when the discharge type information indicates a floating potential discharge and the thermal anomaly type information indicates a temperature abrupt change or localized overheating, the fault type of the cable segment under test is determined to be the fourth fault type. The fourth fault type includes poor connection or conductor problems.

[0198] For example, the discharge type is floating potential discharge, that is, a concentrated and continuous discharge signal, and the thermal anomaly type is a temperature change point or local overheating. This can determine that the fault type of the cable segment under test is poor connection or conductor problem, that is, loose internal conductor, poor connection or conductor breakage.

[0199] By combining the results of partial discharge testing and infrared thermal imaging, a more comprehensive understanding of the cable's health status can be obtained, fault types can be accurately classified and identified, and a scientific basis can be provided for maintenance and repair.

[0200] S5323 assesses the health status of the cable segment under test based on performance test data and fault type information, and obtains a health assessment report.

[0201] For example, all performance testing data is analyzed to assess the overall performance and current condition of the cable. Using identified fault type information, the severity of the faults and their impact on cable health are evaluated. Based on the comprehensive analysis results, a health score is assigned to the cable segment, reflecting its overall health condition. A health assessment report is prepared, including the health score and a detailed health assessment analysis. Based on the health condition, maintenance or replacement recommendations are provided.

[0202] S5324 integrates fault type information and health assessment reports to obtain fault detection results.

[0203] For example, fault type information is integrated with health assessment reports to ensure consistency and completeness of information. Detailed records are kept of the fault type, location, severity, and health score. Based on the assessment results, specific maintenance, repair, or replacement recommendations are provided to ensure the safe and reliable operation of the cable system.

[0204] Fault detection results reports may include: infrared thermal imaging image analysis, detailed thermal imaging analysis results and identified fault areas; performance test data analysis, comprehensive performance test data and anomaly analysis; fault type information, specific fault type and description; health assessment report, health score of cable segment and detailed assessment results; maintenance recommendations, specific recommendations and action plans based on the assessment results.

[0205] Through these steps, infrared thermal imaging images and performance testing data can be used to comprehensively analyze the fault types and health status of cable segments, providing a scientific basis and specific recommendations for cable maintenance and management.

[0206] S540 integrates the deviation value, judgment result, and operation result to obtain the detection result.

[0207] For example, the deviation value of each performance indicator, the judgment result of each performance indicator, and the life prediction result or fault detection result are recorded, including the predicted remaining life or fault type and maintenance recommendations. The deviation values, judgment results, and operational results are integrated to form a comprehensive inspection report. The comprehensive inspection report includes: basic information, such as the identification, model, and inspection date of the cable segment under test; performance test data, a comparison between actual test data and target performance data, including deviation values; judgment results, the judgment result (normal or abnormal) for each performance indicator; and operational results, including the life prediction result or fault detection result, including specific predicted data or fault analysis and recommendations. Based on the recommendations in the report, specific maintenance action plans can be developed to ensure the reliable operation of the cable system.

[0208] Through these steps, machine learning models can be used to predict the ideal performance of cables under current conditions, and the condition of cables can be accurately assessed by comparing actual test data, enabling scientific lifespan prediction or fault detection.

[0209] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0210] Corresponding to the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables described in the above embodiments, this application also provides a performance testing device for cross-linked polyolefin insulated environmentally friendly power cables. Each unit of this device can realize each step of the performance testing method for cross-linked polyolefin insulated environmentally friendly power cables. Figure 10 The diagram shows a structural block diagram of the performance testing device for cross-linked polyolefin insulated environmentally friendly power cables provided in the embodiments of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0211] Reference Figure 10 The device includes:

[0212] The first acquisition unit is used to acquire the cable segment information of the cross-linked polyolefin insulated environmentally friendly power cable to be tested; wherein, the cable segment information includes the test point information and the cable model of the cable segment to be tested, and the test point information includes the performance test data of the cable segment to be tested, the environmental information of the cable segment to be tested, the location information of the cable segment to be tested, and the usage time information of the cable segment to be tested;

[0213] The lookup unit is used to search the cable database for the cable model corresponding to the cable segment under test, and obtain the target cable information; the cable database is constructed by collecting the initial performance test data of different models of cross-linked polyolefin insulated environmentally friendly power cables.

[0214] The second acquisition unit is used to acquire the performance test data of the target cable from the cable database based on the target cable information;

[0215] The first processing unit is used to perform feature processing on the detection point information to obtain the detection features of the cable segment to be tested;

[0216] The second processing unit is used to obtain the test results of the cable segment under test based on the performance test data of the cable segment under test, the test characteristics of the cable segment under test, and the performance test data of the target cable.

[0217] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0218] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0219] This application also provides a performance testing device for cross-linked polyolefin insulated environmentally friendly power cables. Figure 11 This is a schematic diagram of the structure of a performance testing device for cross-linked polyolefin insulated environmentally friendly power cables provided in an embodiment of this application. The device includes testing point equipment, infrared thermal imaging equipment, and a control device communicatively connected to the testing point equipment and the infrared thermal imaging equipment; such as... Figure 11 As shown, the control device 6 of the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment of this embodiment includes: at least one processor 60 ( Figure 11 Only one is shown in the image), at least one memory 61 ( Figure 11 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, it causes the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment to perform the steps in any of the above-described cross-linked polyolefin insulated environmentally friendly power cable performance testing method embodiments, or causes the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment to perform the functions of each unit in the above-described device embodiments.

[0220] Exemplarily, the computer program 62 can be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program 62 in the control device 6 of the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment.

[0221] The control device 6 of the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment can be a desktop computer, laptop, handheld computer, or cloud server, etc. This cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 11 This is merely an example of a performance testing device for cross-linked polyolefin insulated environmentally friendly power cables and does not constitute a limitation on such a device. It may include more or fewer components than shown in the illustration, or a combination of certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0222] The processor 60 can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0223] In some embodiments, the memory 61 may be an internal storage unit of the control device 6 of the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment, such as the hard disk or memory of the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment. In other embodiments, the memory 61 may also be an external storage device of the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment. Further, the memory 61 may include both internal storage units and external storage devices of the cross-linked polyolefin insulated environmentally friendly power cable performance testing equipment. The memory 61 is used to store operating systems, applications, bootloaders, data, and other programs, such as the program code of the computer program. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0224] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0225] This application provides a computer program product that, when run on a cross-linked polyolefin insulated environmentally friendly power cable performance testing device, enables the cross-linked polyolefin insulated environmentally friendly power cable performance testing device to implement the steps in any of the above method embodiments.

[0226] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to the performance testing equipment for cross-linked polyolefin insulated environmentally friendly power cables, recording media, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0227] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0228] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0229] In the embodiments provided in this application, it should be understood that the disclosed cross-linked polyolefin insulated environmentally friendly power cable performance testing device, equipment, and method can be implemented in other ways. For example, the embodiments of the cross-linked polyolefin insulated environmentally friendly power cable performance testing device and equipment described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, and may be electrical, mechanical, or other forms.

[0230] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0231] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application 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 this application, and should all be included within the protection scope of this application.

Claims

1. A method for detecting the performance of a cross-linked polyolefin insulated environmentally friendly power cable, characterized by, The method comprises the following steps: obtaining the information of a cable section to be tested of a cross-linked polyolefin insulation environmentally friendly power cable to be tested; wherein the information of the cable section to be tested comprises detection point information and a cable model of the cable section to be tested, and the detection point information comprises performance detection data of the cable section to be tested, environmental information of the cable section to be tested, location information of the cable section to be tested, and use time information of the cable section to be tested; finding a cable corresponding to the cable model of the cable section to be tested from a cable database to obtain target cable information; wherein the cable database is constructed by collecting initial performance detection data of cross-linked polyolefin insulation environmentally friendly power cables of different models; obtaining performance detection data of a target cable from the cable database based on the target cable information; performing feature processing on the detection point information to obtain detection features of the cable section to be tested; wherein the detection features comprise environmental features, location features, and time features; obtaining a detection result of the cable section to be tested according to the performance detection data of the cable section to be tested, the detection features of the cable section to be tested, and the performance detection data of the target cable; wherein the obtaining of the detection result of the cable section to be tested according to the performance detection data of the cable section to be tested, the detection features of the cable section to be tested, and the performance detection data of the target cable comprises: inputting the environmental features, the location features, the time features, and the performance detection data of the target cable into a first prediction model to enable the first prediction model to predict current performance detection data of the target cable to obtain target performance detection data; wherein the first prediction model is a machine learning model obtained by pre-training, and the target performance detection data is ideal performance detection data under the effects of environment, location, and use time; calculating a deviation value of the performance detection data of the cable section to be tested and the target performance detection data, and determining whether the deviation value is within a preset range to obtain a determination result; wherein the determination result is used to indicate that the deviation value is within the preset range or the deviation value is not within the preset range; performing an operation corresponding to the determination result according to the determination result to obtain an operation result; wherein the operation result comprises a life prediction result or a fault detection result; integrating the deviation value, the determination result, and the operation result to obtain a detection result.

2. The method for detecting the performance of the crosslinked polyolefin environmentally friendly power cable insulation according to claim 1, characterized in that, The obtaining of the information of the cable section to be tested of the cross-linked polyolefin insulation environmentally friendly power cable to be tested comprises: obtaining a cable section to be tested identifier; generating an acquisition instruction based on the cable section to be tested identifier; wherein the acquisition instruction comprises the cable section to be tested identifier and an access request; accessing a cable map database based on the access request; obtaining the information of the cable section to be tested corresponding to the cable section to be tested identifier from the cable map database according to the acquisition instruction.

3. The method for detecting the performance of the crosslinked polyolefin environmentally friendly power cable insulation according to claim 1, characterized in that, The feature processing of the detection point information to obtain the detection features of the cable section to be tested comprises: performing feature processing on the environmental information of the cable section to be tested to obtain environmental features; performing feature processing on the location information of the cable section to be tested to obtain location features; The time information of the to-be-tested cable section is characterized to obtain time characteristics.

4. The method for detecting the performance of the crosslinked polyolefin environmentally friendly power cable according to claim 1, characterized in that, The operation result is obtained by performing an operation corresponding to the judgment result according to the judgment result. When the judgment result indicates that the deviation value is within the preset range, the environmental characteristics, the location characteristics, and performance detection data of the to-be-tested cable section are input into a second prediction model, so that the second prediction model predicts the service life and performance degradation trend of the to-be-tested cable section to obtain the service life prediction result; the second prediction model is a machine learning model trained in advance. When the judgment result indicates that the deviation value is not within the preset range, fault detection and health assessment are performed on the to-be-tested cable section based on the performance detection data of the to-be-tested cable section to obtain the fault detection result.

5. The method for detecting the performance of the crosslinked polyolefin environmentally friendly power cable insulation according to claim 4, characterized in that, The fault detection result is obtained by performing fault detection and health assessment on the to-be-tested cable section based on the performance detection data of the to-be-tested cable section, including: An infrared thermal imaging image of the to-be-tested cable section is obtained. A fault type of the to-be-tested cable section is determined according to the performance detection data of the to-be-tested cable section and the infrared thermal imaging image to obtain fault type information. A health status of the to-be-tested cable section is evaluated according to the performance detection data of the to-be-tested cable section and the fault type information to obtain a health assessment report. The fault type information and the health assessment report are integrated to obtain the fault detection result.

6. The method for detecting the performance of the crosslinked polyolefin environmentally friendly power cable insulation according to claim 5, characterized in that, The fault type information is obtained by determining the fault type of the to-be-tested cable section according to the performance detection data of the to-be-tested cable section and the infrared thermal imaging image, including: Partial discharge test data in the performance detection data of the to-be-tested cable section are feature-extracted to obtain partial discharge characteristics, and discharge type information is obtained according to the partial discharge characteristics; the discharge type information includes internal discharge, surface discharge, surface discharge, and suspended potential discharge. The infrared thermal imaging image of the to-be-tested cable section is feature-extracted to obtain thermal imaging characteristics, and thermal anomaly type information is obtained according to the thermal imaging characteristics; the thermal anomaly type information includes local overheating, temperature gradient, temperature mutation point, and uneven hot spot distribution. The fault type of the to-be-tested cable section is determined according to the discharge type information and the thermal anomaly type information to obtain the fault type information.

7. The method for detecting the performance of the crosslinked polyolefin environmentally friendly power cable insulation according to claim 6, characterized in that, The fault type of the to-be-tested cable section is determined according to the discharge type information and the thermal anomaly type information to obtain the fault type information, including: When the discharge type information indicates that the discharge type is internal discharge, and the thermal anomaly type information indicates that the thermal anomaly type is local overheating, the fault type of the to-be-tested cable section is determined to be a first fault type; the first fault type includes internal insulation failure. When the discharge type information indicates that the discharge type is surface discharge, and the thermal anomaly type information indicates that the thermal anomaly type is uneven hot spot distribution, the fault type of the to-be-tested cable section is determined to be a second fault type; the second fault type includes cable surface contamination or moisture-induced failure. when the discharge type information indicates that the discharge type is surface discharge, and the thermal anomaly type information indicates that the thermal anomaly type is temperature gradient, determining that the fault type of the to-be-tested cable section is a third fault type; wherein the third fault type includes that dirt, salt deposition or water vapor exists on the insulation surface; when the discharge type information indicates that the discharge type is floating potential discharge, and the thermal anomaly type information indicates that the thermal anomaly type is temperature mutation point or local overheating, determining that the fault type of the to-be-tested cable section is a fourth fault type; wherein the fourth fault type includes poor connection or conductor problem.

8. A device for detecting the properties of a cross-linked polyolefin insulated environmentally friendly power cable, characterized by The cross-linked polyolefin insulation environment-friendly power cable performance detection device for implementing the method of any one of claims 1 to 7 comprises: A first acquisition unit is configured to acquire to-be-tested cable section information of a to-be-tested cross-linked polyolefin insulation environment-friendly power cable; wherein the to-be-tested cable section information includes detection point information and a cable model of the to-be-tested cable section, and the detection point information includes performance detection data of the to-be-tested cable section, environment information of the to-be-tested cable section, position information of the to-be-tested cable section and use time information of the to-be-tested cable section; A searching unit is configured to search for a cable corresponding to the cable model of the to-be-tested cable section from a cable database to obtain target cable information; wherein the cable database is constructed by collecting initial performance detection data of cross-linked polyolefin insulation environment-friendly power cables of different models; A second acquisition unit is configured to acquire performance detection data of the target cable from the cable database based on the target cable information; A first processing unit is configured to perform feature processing on the detection point information to obtain detection features of the to-be-tested cable section; A second processing unit is configured to obtain a detection result of the to-be-tested cable section according to the performance detection data of the to-be-tested cable section, the detection features of the to-be-tested cable section and the performance detection data of the target cable.

9. A cross-linked polyolefin insulated environmentally friendly power cable performance testing apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method of any one of claims 1 to 7.

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