Fault detection methods, devices, computer equipment, and storage media for power equipment

Abstract

This application relates to a method, apparatus, computer device, and storage medium for fault detection of power equipment. The method includes: acquiring equipment operation information and geographical location information of the power equipment; adjusting the baseline fault judgment conditions for each fault to be detected based on the geographical location information to obtain individual fault judgment conditions for each fault; performing fault detection on the power equipment based on the equipment operation information and each fault judgment condition to obtain a fault detection result; if the fault detection result indicates that the power equipment has a fault, and the fault is a remotely repairable fault, determining a fault repair strategy for the power equipment based on the fault; and performing remote repair on the power equipment based on the fault repair strategy. This method can improve the accuracy of fault detection in power equipment.

Description

Technical Field

[0001] This application relates to the field of power equipment management technology, and in particular to a method, apparatus, computer equipment, storage medium and computer program product for fault detection of power equipment. Background Technology

[0002] Power equipment is a mobile device that uses batteries as its power source. It can directly convert stored electrical energy into mechanical kinetic energy to achieve mobility. With the rapid development of new energy technologies, the application of power batteries in vehicles is becoming more and more widespread. Power equipment such as electric vehicles and hybrid vehicles. How to ensure the operational safety and stability of power equipment is a core issue that the power equipment industry needs to overcome in its development.

[0003] Currently, the common technical solution for fault detection in power equipment is to obtain the operating information of the power equipment and analyze the fault to determine whether the power equipment has a fault. However, in complex operating scenarios, the fault detection method of analyzing the fault through the equipment operating information is prone to inaccurate fault detection. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for detecting power equipment faults that can improve the accuracy of power equipment fault detection, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for fault detection of power equipment. The method includes:

[0006] Obtain equipment operation information and geographical location information of power equipment;

[0007] Based on the geographical location information, the baseline fault judgment conditions for each fault to be detected are adjusted for geographical adaptability to obtain the fault judgment conditions for each fault to be detected.

[0008] Based on the equipment operation information and each of the fault judgment conditions, the power equipment is fault detected to obtain the fault detection result of the power equipment.

[0009] If the fault detection result indicates that the power equipment has a fault, and the fault is a remotely repairable fault, then a fault repair strategy for the power equipment is determined based on the fault.

[0010] The power equipment is remotely maintained based on the fault repair strategy.

[0011] In the above embodiments, by adjusting the baseline fault judgment conditions for each fault to be detected based on the geographical location information of the power equipment, the fault judgment conditions for each fault to be detected can be made more consistent with the actual environmental conditions of the power equipment's location. Subsequently, fault detection of the power equipment is performed based on equipment operation information and fault judgment conditions that are highly compatible with the environment in which the power equipment is located. This couples the internal operation and external environment of the power equipment to determine whether a fault exists, effectively improving the accuracy of fault detection. If a fault is determined, it is further determined whether the fault is remotely repairable. If a remotely repairable fault exists, a fault repair strategy is determined based on the fault. Remote repair of the power equipment based on this strategy can effectively reduce the complexity of power equipment maintenance and improve the efficiency and convenience of fault repair.

[0012] In one embodiment, the step of adjusting the baseline fault judgment conditions for each fault to be detected based on the geographical location information to obtain the respective fault judgment conditions for each fault to be detected includes:

[0013] Obtain the baseline fault judgment conditions for each fault to be detected;

[0014] For each of the aforementioned faults to be detected, a geographically associated parameter is determined that has a geographical correlation with the baseline fault judgment condition of the fault to be detected.

[0015] Based on the geographic association parameters, information is extracted from the geographic location information to obtain the geographic association information corresponding to the geographic association parameters;

[0016] Based on the geographic association information, the baseline fault judgment conditions are adjusted for geographic adaptability to obtain the fault judgment conditions for the fault to be detected.

[0017] In the above embodiments, by determining the geographic correlation parameters that are geographically related to the baseline fault judgment conditions, and by adjusting the baseline fault judgment conditions for geographic adaptation based on the geographic correlation information corresponding to the geographic correlation parameters, the fault judgment conditions can be obtained, thereby improving the accuracy and efficiency of the geographic adaptation adjustment.

[0018] In one embodiment, the step of adjusting the baseline fault judgment conditions based on the geographic association information to obtain the fault judgment conditions for the fault to be detected includes:

[0019] Fault judgment parameters are extracted from the benchmark fault judgment conditions to obtain the fault judgment parameters of the fault to be detected;

[0020] Invoke the adjustment value mapping relationship that matches the fault judgment parameter. The adjustment value mapping relationship is used to characterize the correspondence between each geographic association information and each adjustment value.

[0021] Based on the adjustment value mapping relationship, the adjustment value that matches the geographic association information is determined as the parameter adjustment value of the fault judgment parameter;

[0022] The baseline fault judgment conditions are adjusted according to the parameter adjustment values ​​to obtain the fault judgment conditions for the fault to be detected.

[0023] In the above embodiments, by pre-setting a matching adjustment value mapping relationship for the fault judgment parameters, the corresponding parameter adjustment values ​​for the fault judgment parameters can be quickly determined based on geographical association information, thereby improving the speed and accuracy of adjusting the geographical adaptability of the baseline fault judgment conditions.

[0024] In one embodiment, the fault repair strategy includes at least one fault repair parameter and a parameter adjustment method corresponding to the fault repair parameter;

[0025] The remote maintenance of the power equipment based on the fault repair strategy includes:

[0026] Obtain the adjustment permission level for the fault repair parameters;

[0027] When the adjustment permission level is greater than the automatic adjustment level threshold, the power equipment is digitally authenticated using the digital key of the power equipment.

[0028] If the digital key authentication is successful, a remote maintenance command is generated based on the fault repair parameters and the parameter adjustment method corresponding to the fault repair parameters.

[0029] A digital certificate is issued for the remote maintenance instruction, and the digital certificate and the remote maintenance instruction are sent to the equipment control system of the power equipment.

[0030] In the above embodiments, when it is determined that the adjustment permission level of the fault maintenance parameters is greater than the automatic adjustment level threshold, the issuance of remote maintenance commands is subject to dual authentication, namely digital key authentication and digital certificate authentication, so as to improve the security of remote fault maintenance of power equipment and reduce the possibility that the equipment operation control of the power equipment will be abnormal due to external information tampering, which will affect the safety of equipment operation.

[0031] In one embodiment, the method further includes:

[0032] When the remote maintenance of the power equipment is completed, the maintenance result of the power equipment is verified based on the maintenance verification mechanism corresponding to the equipment fault, and the maintenance verification result is obtained.

[0033] If the maintenance verification result indicates that the power equipment has been successfully repaired remotely for the equipment fault, a remote maintenance success message is generated.

[0034] The successful remote maintenance notification message is sent to the display terminal of the power equipment.

[0035] In the above embodiments, after the remote maintenance is completed, the equipment management system can also use the maintenance verification mechanism corresponding to the equipment fault to verify the remote maintenance results of the power equipment, which can close the loop of remote maintenance of the power equipment and realize the real-time availability of remote maintenance.

[0036] In one embodiment, the method further includes:

[0037] If the maintenance verification result indicates that the remote maintenance of the power equipment for the equipment fault is unsuccessful, the number of times remote maintenance is required for the equipment fault is determined.

[0038] If the number of repairs is less than the preset repair threshold, return to the step of remotely repairing the power equipment based on the fault repair strategy, and increase the repair count by one.

[0039] If the number of repairs equals the preset repair number threshold, parameter recovery processing is performed on the power equipment based on the backup parameters saved for the power equipment before remote repair.

[0040] In the above embodiments, when the number of repairs has not reached the preset repair threshold, multiple callbacks can effectively improve the success rate of remote repairs and reduce the probability of repair failures due to occasional reasons. When the number of repairs reaches the preset repair threshold, canceling the remote repair operation and restoring the equipment parameters of the power equipment can restore the power equipment to its initial fault state, eliminating the need for re-fault detection and providing information for subsequent repairs.

[0041] In one embodiment, the method further includes:

[0042] Identify a remote professional repair terminal that matches the fault of the equipment;

[0043] A remote assistance repair instruction is generated based on the fault detection result corresponding to the equipment fault, and the remote assistance repair instruction is sent to the remote professional repair terminal; the remote assistance repair instruction is used to instruct the remote professional repair terminal to perform remote assistance repair on the power equipment in response to the equipment fault.

[0044] In the above embodiments, when the equipment management system determines that it is unable to perform remote maintenance on the power equipment, it can connect professional maintenance personnel to assist in the maintenance, thereby improving the efficiency and complexity of fault repair of the power equipment.

[0045] In one embodiment, the method further includes:

[0046] If the fault detection result indicates that the power equipment has a fault, and the fault is not a fault that can be repaired remotely, then based on the fault and the geographical location information, the maintenance resources that match the location of the power equipment are determined.

[0047] Based on the maintenance resources, maintenance suggestions for the equipment failure are generated and sent to the display terminal of the power equipment.

[0048] In the above embodiments, when the equipment failure of the power equipment is not a remotely repairable failure, maintenance resources that match the location of the power equipment can be determined based on geographical location information. Maintenance suggestions can be generated based on the maintenance resources that match the location of the power equipment, which can provide users with maintenance suggestions that meet their actual needs and increase the probability of the suggestions being adopted.

[0049] In one embodiment, the method further includes:

[0050] If the fault detection result indicates that the power equipment does not have a fault, the operating area of ​​the power equipment is determined based on the geographical location information.

[0051] Based on the equipment operating area and the dynamic fault distribution model, the geographically related faults existing in the equipment operating area are determined;

[0052] Based on the geographically related faults, a fault early warning analysis is performed on the power equipment to obtain the fault early warning analysis results of the power equipment.

[0053] In the above embodiments, when there is no equipment failure and there is a need to perform fault warning analysis on the power equipment, the power equipment can be divided into equipment operating areas, and the geographically related faults that occur frequently in the equipment operating areas can be identified. Fault warning analysis can be performed only on geographically related faults, which can reduce the analysis resources consumed by large-scale fault warning analysis and improve the efficiency of fault warning analysis while ensuring the safe and stable operation of the power equipment.

[0054] In one embodiment, the geographic location information includes climate information and road condition information; the step of determining the geographically related faults existing in the equipment operating area based on the equipment operating area and the dynamic fault distribution model includes:

[0055] Obtain a dynamic fault distribution model, and determine the initial geographically related faults existing in the equipment operating area based on the dynamic fault distribution model;

[0056] The climate information and the road condition information are respectively subjected to feature mapping to obtain the climate feature vector and the road condition feature vector of the location of the power equipment;

[0057] By inputting the climate feature vector and the road condition feature vector into the fault probability model, the fault probability distribution of the location of the power equipment is obtained.

[0058] If, based on the fault probability distribution, it is determined that there is a new geographically related fault at the location of the power equipment, the dynamic fault distribution model is updated according to the new geographically related fault.

[0059] The initial geographic correlation fault and the newly added geographic correlation fault are identified as geographic correlation faults existing in the operating area of ​​the device.

[0060] In the above embodiments, updating the dynamic fault distribution model by using the real-time geographical location information collected from the power equipment can effectively maintain the accuracy of the fault distribution information in the dynamic fault distribution model, providing an accurate data foundation for subsequent fault early warning analysis.

[0061] In one embodiment, the method further includes:

[0062] If the device operating area includes an electronic fence area, the battery health monitoring activation area of ​​the electronic fence area is determined based on the geographical location information.

[0063] When the power equipment enters the battery health monitoring activation area, the sampling frequency for battery health monitoring of the power equipment is increased.

[0064] In the above embodiments, by setting a corresponding battery health monitoring start area for the electronic fence area, preparations can be made in advance before the power equipment enters the electronic fence area, increasing the sampling frequency of battery health monitoring for the power equipment. This enables high-frequency sampling of the power equipment during operation within the electronic fence area, providing data collection support for the healthy operation of the power equipment within the electronic fence area, effectively improving the battery health of the power equipment and extending the battery life of the power equipment.

[0065] Secondly, this application also provides a fault detection device for power equipment. The device includes:

[0066] The information acquisition module is used to acquire equipment operation information and geographical location information of the power equipment;

[0067] The geographic adaptation adjustment module is used to adjust the baseline fault judgment conditions of each fault to be detected according to the geographic location information, so as to obtain the fault judgment conditions of each fault to be detected.

[0068] The fault detection module is used to perform fault detection on the power equipment based on the equipment operation information and each of the fault judgment conditions, and obtain the fault detection result of the power equipment.

[0069] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the above-described method.

[0070] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the above-described method.

[0071] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the above-described method.

[0072] The aforementioned fault detection method, apparatus, computer equipment, storage medium, and computer program product for power equipment acquires equipment operation information and geographical location information of the power equipment. The equipment operation information reflects the operating status of the power equipment, while the geographical location information reflects the environmental characteristics of the power equipment's location. Based on the geographical location information, the baseline fault judgment conditions for each fault to be detected are adjusted for geographical adaptability, resulting in individual fault judgment conditions for each fault. Fault detection of the power equipment is then performed based on the equipment operation information and these fault judgment conditions, yielding the fault detection results. This method, by adjusting the baseline fault judgment conditions for each fault to be detected using the power equipment's geographical location information, ensures that the fault judgment conditions for each fault are more consistent with the actual environmental conditions of the power equipment's location. Subsequent fault detection based on the equipment operation information and fault judgment conditions that highly match the power equipment's environment allows for the coupling of information from both the internal operation and external environment dimensions to determine whether a fault exists in the power equipment, effectively improving the accuracy of fault detection. Attached Figure Description

[0073] Figure 1 This is a diagram illustrating the application environment of a fault detection method for power equipment in one embodiment.

[0074] Figure 2 This is a flowchart illustrating a fault detection method for power equipment in one embodiment;

[0075] Figure 3 This is a flowchart illustrating how, in one embodiment, the baseline fault judgment conditions for each fault to be detected are adjusted for geographic adaptability based on geographic location information to obtain the respective fault judgment conditions for each fault to be detected.

[0076] Figure 4 This is a flowchart illustrating the process of adjusting the baseline fault judgment conditions based on geographic association information to obtain the fault judgment conditions for the fault to be detected in one embodiment.

[0077] Figure 5 This is a schematic diagram of a process for remotely maintaining power equipment based on a fault repair strategy in one embodiment;

[0078] Figure 6 This is a flowchart illustrating a fault detection method for power equipment in another embodiment;

[0079] Figure 7 This is a flowchart illustrating a fault detection method for power equipment in another embodiment;

[0080] Figure 8 This is a flowchart illustrating a fault detection method for power equipment in another embodiment;

[0081] Figure 9 This is a flowchart illustrating the process of determining geographically related faults in a device's operating area based on the device's operating area and a dynamic fault distribution model, as shown in one embodiment.

[0082] Figure 10 This is a flowchart illustrating a fault detection method for power equipment in another embodiment;

[0083] Figure 11 This is a flowchart illustrating the fault repair steps in one embodiment;

[0084] Figure 12 This is a flowchart illustrating the maintenance result verification steps in one embodiment;

[0085] Figure 13 This is a flowchart illustrating the fault warning analysis steps in one embodiment;

[0086] Figure 14This is a structural block diagram of a fault detection device for power equipment in one embodiment;

[0087] Figure 15 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0088] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0089] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0090] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least some of the embodiments of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0091] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0092] In the description of the embodiments of this application, the technical terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0093] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0094] Fault detection of power equipment, such as electric vehicles and hybrid vehicles, is the core of the full life cycle management of power equipment, which can effectively improve the operational safety and stability of power equipment.

[0095] Currently, the common technical approach for fault detection in power equipment is to analyze operational information to determine if a fault exists. For example, acquiring operational information during the power equipment's operation and inputting this information into a pre-trained fault model yields the fault detection result. However, the operational safety of power equipment is not solely affected by its internal operating status. Analyzing faults based on a single piece of operational information can easily lead to inaccurate fault detection in complex operating scenarios, resulting in false alarms or missed detections, thus affecting the safe and stable operation of the power equipment.

[0096] To improve the accuracy of fault detection in power equipment, during fault detection, equipment operation information and geographical location information can be obtained. Equipment operation information reflects the equipment's operational status, while geographical location information reflects the environmental characteristics of the power equipment's location. Based on the geographical location information, the baseline fault judgment conditions for each fault to be detected are geographically adapted, resulting in individual fault judgment conditions for each fault. Fault detection is then performed on the power equipment based on the equipment operation information and these fault judgment conditions, yielding the fault detection results. This method, by geographically adapting the baseline fault judgment conditions for each fault to be detected using the power equipment's geographical location information, ensures that the fault judgment conditions for each fault are more consistent with the actual environmental conditions of the power equipment's location. Subsequent fault detection based on equipment operation information and fault judgment conditions that highly match the power equipment's environment can couple information from both the internal operation of the power equipment and its external environment to determine whether a fault exists, effectively improving the accuracy of power equipment fault detection.

[0097] The fault detection method for power equipment provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, the equipment management system 102 communicates with the equipment control system 1041 and the geographic information acquisition component 1042 in the power equipment 104 via a network. The data storage system can store the data that the equipment management system 102 needs to process. The data storage system can be integrated into the equipment management system 102 or placed in the cloud or on other network servers. The equipment management system 102 can obtain the equipment operation information of the power equipment 104 through the equipment control system 1041, and obtain the geographic location information of the power equipment 104 through the geographic information acquisition component 1042 mounted on the power equipment 104. Based on the geographic location information, the baseline fault judgment conditions for each fault to be detected are adjusted for geographic adaptability to obtain the respective fault judgment conditions for each fault to be detected. Subsequently, based on the equipment operation information and each fault judgment condition, fault detection is performed on the power equipment 104 to obtain the fault detection result of the power equipment 104.

[0098] The equipment management system 102 is a comprehensive file management system for remotely managing the power equipment 104. It can manage the basic information, battery parameters, usage records, and maintenance records of the power equipment 104. In the remote management of the power equipment 104, the common approach is to manage related equipment information through different systems, resulting in severe data silos. Taking an electric vehicle as an example, the vehicle's driving records might be stored in the onboard equipment, maintenance records in the maintenance system, and insurance information in the insurance system, lacking a unified management platform. In this application, the equipment management system 102 can collect file data from various related systems of the power equipment 104 through standardized interfaces and protocols, such as the vehicle's onboard equipment, battery management unit (BMU), battery management system (BMS), manufacturing execution system (MES), and work order system, achieving comprehensive remote management of the power equipment 104. Understandably, the device management system 102 can be implemented using a standalone server or a server cluster consisting of multiple servers, or it can be implemented through a cloud server.

[0099] The power equipment 104 can be any type of battery-powered mobile device, such as an electric vehicle, a hybrid vehicle, or a powered transportation device. The power equipment 104 is equipped with a device control system 1041 and a geographic information acquisition component 1042.

[0100] The equipment control system 1041, also known as the battery management system in the power equipment 104, is primarily responsible for the comprehensive monitoring, management, and protection of the battery system within the power equipment 104, ensuring its safe, efficient, and stable operation. During operation, the equipment control system 1041 monitors the battery's operating status in real time, obtaining the equipment's operational information.

[0101] The geographic information acquisition component 1042 is mounted on the power equipment 104 and is used to acquire geographic information about the location of the power equipment. The specific form of the geographic information acquisition component 1042 is related to the type of information contained in the geographic information. For example, when the geographic information includes environmental information, the geographic information acquisition component 1042 may include environmental information acquisition components, such as temperature sensors and humidity sensors. When the geographic information includes road condition information, the geographic information acquisition component 1042 may include a positioning system, such as the vehicle's Global Positioning System (GPS). Through the positioning system, the road condition information of the location of the power equipment can be quickly determined, such as slope, curvature, and congestion index.

[0102] In one embodiment, such as Figure 2 As shown, a fault detection method for power equipment is provided, which can be applied to... Figure 1 Taking the equipment management system 102 as an example, the following steps are included:

[0103] S202, Obtain equipment operation information and geographical location information of power equipment.

[0104] The equipment operation information of the power equipment refers to data characterizing its operational status. This data can be a set of battery performance parameters and motor system parameters reflecting the operating state of the power equipment during operation. For example, battery performance parameters may include cell-level monitoring parameters such as cell voltage and cell or module temperature for thermal runaway detection; system-level status parameters such as total voltage, state of charge (SOC), and state of health (SOH) for range estimation and battery pack health diagnosis; dynamic performance parameters such as maximum charge / discharge current and instantaneous power for fast charging / acceleration performance assessment; and safety indicators such as insulation resistance and pressure relief valve trigger status for high-voltage safety monitoring. Similarly, motor system parameters may include mechanical output parameters such as speed and torque for understanding the overall power distribution; electrical characteristic parameters such as phase current and winding temperature for determining overload protection and efficiency optimization; and controller status parameters such as state of charge junction temperature and switching frequency for inverter reliability assessment.

[0105] The geographic location information of the power equipment is used to characterize the current location of the power equipment and the environmental conditions of the location. The current location can include absolute location and relative location. The absolute location can include the specific spatial location of the power equipment, such as latitude, longitude, and altitude. The relative location is the positional relationship with a selected reference point, such as the distance to the nearest charging station / repair point.

[0106] The environmental information of the location can include climate information and road condition information. Climate information reflects the natural climate of the location of the power equipment, such as temperature, humidity, atmospheric pressure, light intensity, wind speed, and wind direction. Road condition information reflects the road conditions of the location of the power equipment, such as road surface slope, curvature, congestion index, and roughness.

[0107] In some embodiments, the equipment management system can obtain the equipment operation information of the power equipment during operation through the equipment control system of the power equipment, and obtain the geographical location information of the power equipment through the geographic information acquisition component mounted on the power equipment.

[0108] S204. Based on the geographical location information, the baseline fault judgment conditions for each fault to be detected are adjusted for geographical adaptability to obtain the fault judgment conditions for each fault to be detected.

[0109] The "faults to be detected" are pre-set sets of potential faults that need to be actively monitored during the operation of the power equipment. Equipment managers can pre-set corresponding faults to be detected for the power equipment based on its actual fault monitoring needs, enabling comprehensive fault detection during operation. These faults can include SOC calibration errors, equalization circuit anomalies, charging strategy mismatches, diagnostic misjudgments, coolant leaks, bearing wear, rotor eccentricity, battery power limitations, motor overheat protection, and decreased charging efficiency.

[0110] Each fault to be detected has its own corresponding baseline fault judgment condition. The baseline fault judgment condition is a fault trigger threshold or logic rule set for the fault to be detected, assuming that the power equipment is in a standard environment, such as an environment with a temperature of 25°C. Taking the fault to be detected as an engine power fault as an example, the baseline fault judgment condition for a generator power fault is that the engine output power is less than 80% of the rated power for 5 seconds, which determines that the power equipment has an engine power fault. If the power equipment is traveling in a high-altitude area, such as a plateau, and the baseline fault judgment condition is still used for fault detection, frequent fault reports are likely to occur. This is because the power of naturally aspirated engines naturally decreases by 40% at high altitudes. Therefore, after determining the current altitude of the power equipment based on geographical location information, the equipment management system can dynamically adjust and correct the baseline fault judgment condition based on the altitude, so that the adjusted fault judgment condition can conform to the actual situation of the power equipment's location and reduce the probability of false alarms.

[0111] Geographic adaptation adjustment is a process of dynamically correcting the baseline fault judgment conditions for the fault to be detected based on the real-time geographic location information of the power equipment. By adjusting the baseline fault judgment conditions to be geographically adapted, fault judgment conditions for the fault to be detected are obtained. When subsequent fault judgment conditions with higher adaptability to the location of the power equipment are used for fault detection, geographical interference in the fault detection process can be effectively eliminated, and the accuracy of fault detection can be improved.

[0112] In some embodiments, the equipment management system can obtain each fault to be detected that has been pre-set for the power equipment. After obtaining the geographical location information of the power equipment, it can adjust the baseline fault judgment conditions of each fault to be detected according to the geographical location information to obtain the fault judgment conditions of each fault to be detected.

[0113] In some embodiments, the equipment management system can determine the corresponding faults to be detected for each power equipment based on its equipment type. Designers can design the faults to be detected according to the equipment type of the power equipment, enabling customized fault design for each power equipment from the perspective of equipment type, thereby improving the fault detection efficiency of power equipment.

[0114] In some embodiments, the equipment management system can determine each fault to be detected that matches the equipment identifier of the power equipment. By configuring the fault to be detected for each power equipment on a one-to-one basis, the fault detection matching and fault detection efficiency of the power equipment can be improved.

[0115] In some embodiments, the equipment management system has a pre-set correction model. The equipment management system can sequentially input the geographical location information of the power equipment and the baseline fault judgment conditions of each fault to be detected into the correction model to obtain the fault judgment conditions after geographical adaptation adjustment.

[0116] S206, based on equipment operation information and various fault judgment conditions, perform fault detection on the power equipment and obtain the fault detection results of the power equipment.

[0117] Fault detection refers to the process of determining whether power equipment has any of the faults to be detected by using geographically adapted fault judgment conditions. The equipment management system can use the geographically adapted fault judgment conditions to perform fault detection on the power equipment and obtain the fault detection results.

[0118] Fault detection results are information used to characterize whether a power equipment has a fault and what kind of fault it is. They can include whether the power equipment has a fault, and if so, the fault information, which may include fault identification, fault severity, and fault analysis process.

[0119] In some embodiments, after obtaining the fault judgment conditions after geographical adaptation adjustment, the equipment management system can use the real-time collected equipment operation information, combined with the fault judgment conditions after geographical adaptation adjustment, to perform fault detection on the power equipment, determine the operating status of the power equipment, determine whether the power equipment has each fault to be detected, and obtain the fault detection result of the power equipment.

[0120] In some embodiments, the equipment management system is equipped with a pre-trained fault detection model. The equipment management system can input the equipment operation information and the fault judgment conditions after geographical adaptation adjustment into the fault detection model in sequence to obtain the fault detection results for each fault to be detected, and thus obtain the overall fault detection results of the power equipment.

[0121] In some implementations, the equipment management system can determine the fault judgment parameters required for each fault judgment condition, and determine the judgment parameter information corresponding to the fault judgment parameters from the equipment operation information based on the fault judgment parameters. If the power equipment meets the fault judgment conditions based on the judgment parameter information, it is determined that the power equipment has a fault to be detected corresponding to the fault judgment conditions. If the power equipment does not meet the fault judgment conditions based on the judgment parameter information, it is determined that the power equipment does not have a fault to be detected corresponding to the fault judgment conditions.

[0122] In some embodiments, when the equipment management system determines that there is a fault to be detected corresponding to the fault judgment condition of the power equipment, it can continue to determine the fault severity of the power equipment for the fault to be detected based on the judgment parameter information, and generate a fault detection result based on the fault severity and the fault identifier of the fault to be detected.

[0123] In the aforementioned fault detection method for power equipment, the equipment operation information and geographical location information of the power equipment are obtained. The equipment operation information reflects the operating status of the power equipment, while the geographical location information reflects the environmental characteristics of the power equipment's location. Based on the geographical location information, the baseline fault judgment conditions for each fault to be detected are adjusted geographically to obtain individual fault judgment conditions for each fault. Fault detection of the power equipment is then performed based on the equipment operation information and these fault judgment conditions to obtain the fault detection results. This method, by adjusting the baseline fault judgment conditions for each fault to be detected using the power equipment's geographical location information, ensures that the fault judgment conditions for each fault are more consistent with the actual environmental conditions of the power equipment's location. Subsequent fault detection based on the equipment operation information and fault judgment conditions that highly match the power equipment's environment allows for the coupling of information from both the internal operation and external environment dimensions to determine whether a fault exists in the power equipment, effectively improving the accuracy of fault detection.

[0124] Adjusting the baseline fault diagnosis criteria for geographical adaptability is a key step in improving the accuracy of power equipment fault detection. In some embodiments, such as... Figure 3 As shown in S204, based on geographical location information, the baseline fault judgment conditions for each fault to be detected are adjusted for geographical adaptability to obtain the fault judgment conditions for each fault to be detected, including:

[0125] S302, obtain the baseline fault judgment conditions for each fault to be detected.

[0126] In some embodiments, the device management system can obtain the baseline fault judgment conditions that match each fault identifier from the baseline fault judgment condition storage area based on the fault identifier of each fault to be detected.

[0127] S304, For each fault to be detected, determine the geographic correlation parameters that have a geographic correlation with the baseline fault judgment conditions of the fault to be detected.

[0128] Geographic correlation refers to the characteristic that the baseline fault judgment condition is affected by geographical factors. Geographic correlation parameters, which are geographically correlated with the baseline fault judgment condition, are geographical environmental variables that influence the baseline fault judgment condition. For example, when the fault judgment parameter of the baseline fault judgment condition includes the cell temperature threshold, this baseline fault judgment condition may be affected by the ambient temperature of the location of the power equipment. In this case, the ambient temperature of the power equipment location can be determined as a geographically correlated parameter with the baseline fault judgment condition of the fault to be detected.

[0129] In some embodiments, for each fault to be detected, the device management system may determine a geographic association parameter that is geographicly related to the baseline fault judgment conditions of the fault to be detected.

[0130] In some embodiments, when configuring baseline fault judgment conditions for a fault to be detected, the equipment administrator can determine geographic association parameters that are geographically related to the baseline fault judgment conditions. The equipment management system can determine the geographic association parameters that match the fault to be detected based on the fault identifier of the fault to be detected and the preset correspondence between each fault identifier and each geographic association parameter, and identify them as geographic association parameters that are geographically related to the baseline fault judgment conditions.

[0131] S306, Extract geographic location information based on geographic association parameters to obtain geographic association information corresponding to the geographic association parameters.

[0132] Information extraction refers to the process of extracting information corresponding to geographic parameters from the information set corresponding to geographic location information. Information extraction can be achieved through preset information extraction methods such as keyword matching and regular expressions.

[0133] Among them, geographic association information is geographic information data extracted from the information set that corresponds to the geographic association parameter. For example, when the geographic association parameter is ambient temperature, the geographic association information can be the ambient temperature value of the location of the power equipment, which is extracted from the geographic location information.

[0134] In some embodiments, the device management system can extract geographic location information based on geographic association parameters to obtain geographic association information corresponding to the geographic association parameters.

[0135] S308, Based on geographic association information, the baseline fault judgment conditions are adjusted for geographic adaptability to obtain the fault judgment conditions for the fault to be detected.

[0136] In some embodiments, the device management system may adjust the baseline fault judgment conditions for geographic adaptability based on the obtained geographic association information to obtain the fault judgment conditions for the fault to be detected.

[0137] In the above embodiments, by determining the geographic correlation parameters that are geographically related to the baseline fault judgment conditions, and by adjusting the baseline fault judgment conditions for geographic adaptation based on the geographic correlation information corresponding to the geographic correlation parameters, the fault judgment conditions can be obtained, thereby improving the accuracy and efficiency of the geographic adaptation adjustment.

[0138] In some embodiments, such as Figure 4 As shown in step S308, the baseline fault judgment conditions are adjusted for geographic adaptability based on geographic association information to obtain the fault judgment conditions for the fault to be detected, including:

[0139] S402, extract fault judgment parameters from the baseline fault judgment conditions to obtain the fault judgment parameters of the fault to be detected.

[0140] Among them, fault judgment parameters are judgment parameters in the baseline fault judgment conditions that can be corrected by geographic association information. For example, if the baseline fault judgment condition is that the engine output power is continuously less than 80% of the rated power for 5 seconds, the fault judgment parameters in the baseline fault judgment condition may include the output power fault judgment threshold. In the baseline fault judgment condition, the output power fault judgment threshold is 80% of the rated power. It can be understood that the baseline fault judgment condition may include one or more fault judgment parameters.

[0141] In some embodiments, the equipment management system can extract fault judgment parameters from the baseline fault judgment conditions to extract the fault judgment parameters of the fault to be detected.

[0142] In some embodiments, when configuring baseline fault judgment conditions, the equipment manager can mark the fault judgment parameters. After obtaining the baseline fault judgment conditions, the equipment management system can extract the fault judgment parameters of the fault to be detected from the baseline fault judgment conditions based on the marking information of the fault judgment parameters.

[0143] S404 invokes the adjustment value mapping relationship that matches the fault judgment parameters.

[0144] The adjustment value mapping relationship is used to characterize the correspondence between each geographic association information and each adjustment value. It can be understood that different geographic association information corresponds to different degrees of parameter adjustment, i.e., different parameter adjustment values. Taking the output power fault judgment threshold as an example, the higher the altitude, the greater the reduction in the output power fault judgment threshold; the lower the altitude, the smaller the reduction in the output power fault judgment threshold. Therefore, equipment managers can pre-bind each geographic association information with its corresponding adjustment value to obtain the adjustment value mapping relationship.

[0145] In some embodiments, the device management system can retrieve the adjustment value mapping relationship that matches the parameter identifier from the mapping relationship storage area based on the parameter identifier of the fault judgment parameter.

[0146] S406, based on the adjustment value mapping relationship, the adjustment value that matches the geographic association information is determined as the parameter adjustment value of the fault judgment parameter.

[0147] Among them, the parameter adjustment value is the parameter value that the fault judgment parameter needs to be adjusted to so that the benchmark fault judgment condition can match the environmental conditions of the location of the power equipment.

[0148] In some embodiments, the device management system can find the adjustment value mapping relationship based on geographic association information, and determine the adjustment value that matches the geographic association information as the parameter adjustment value of the fault judgment parameter.

[0149] S408, adjust the baseline fault judgment conditions according to the parameter adjustment values ​​to obtain the fault judgment conditions for the fault to be detected.

[0150] In some embodiments, the equipment management system can adjust the fault judgment parameters according to the parameter adjustment value, update the baseline fault judgment conditions based on the adjusted parameter values, and obtain the fault judgment conditions for the fault to be detected.

[0151] Taking engine power failure as an example, the geographical correlation parameter that is geographically related to the baseline fault judgment condition of engine power failure is the altitude of the location of the power equipment. The equipment management system can extract the altitude value corresponding to the altitude from the geographical location information and use it as the geographical correlation information. The fault judgment parameter in the baseline fault judgment condition of engine power failure is the output power failure judgment threshold. When the parameter adjustment value of the output power failure judgment threshold is determined to be 70% of the rated power based on the altitude value, the baseline fault judgment condition can be adjusted and updated from "engine output power for 5s < 80% of rated power" to "engine output power for 5s < 70% of rated power".

[0152] In the above embodiments, by pre-setting a matching adjustment value mapping relationship for the fault judgment parameters, the corresponding parameter adjustment values ​​for the fault judgment parameters can be quickly determined based on geographical association information, thereby improving the speed and accuracy of adjusting the geographical adaptability of the baseline fault judgment conditions.

[0153] When a fault is detected in the power equipment, the user typically handles the troubleshooting and repair themselves. To reduce the complexity of fault repair and improve its efficiency and success rate, some embodiments of the power equipment fault detection method further include: if the fault detection result indicates a fault in the power equipment, and the fault is remotely repairable, determining a fault repair strategy based on the fault. Then, remote repair of the power equipment is performed based on the fault repair strategy.

[0154] Among them, remotely repairable faults refer to equipment faults that can be repaired by issuing remote commands without on-site manual intervention. For example, remotely repairable faults may include equipment faults such as SOC calibration errors, equalization circuit abnormalities, charging strategy mismatches, and diagnostic misjudgments.

[0155] A fault repair strategy is a repair plan developed for fault types that can be repaired remotely, and may include specific repair technologies, safety constraints, resource requirements, etc.

[0156] In some embodiments, when the equipment management system determines that there is a fault in the power equipment and the fault is remotely repairable, it can generate a corresponding fault repair strategy based on the fault and perform remote repair on the power equipment based on the fault repair strategy.

[0157] In some embodiments, when configuring faults to be detected for power equipment, equipment managers can assign fault identifiers to each fault and classify them as either remotely repairable or non-remotely repairable, binding the fault identifiers to the classification results. When the equipment management system determines that a fault exists in the power equipment, it can directly determine whether the fault is remotely repairable based on the fault identifier.

[0158] In some embodiments, when the equipment management system determines that the equipment failure is a remotely repairable failure, it can obtain the repair principle matching the equipment failure from the maintenance knowledge base based on the failure identifier of the equipment failure. Then, based on the equipment operation information of the power equipment and the repair principle, it can customize the maintenance strategy for the power equipment to obtain the failure maintenance strategy corresponding to the equipment failure.

[0159] For example, when equipment malfunctions include SOC calibration errors, the repair principle involves correcting the SOC-SOH mapping relationship through an online calibration algorithm. When equipment malfunctions include equalization circuit abnormalities, the repair principle can be to dynamically adjust equalization strategy parameters to suppress individual cell voltage deviations. When equipment malfunctions include charging strategy mismatches, the repair principle can be to dynamically optimize the charging curve based on the battery's health status. When equipment malfunctions include diagnostic misjudgments, the repair principle can be to update model parameters online.

[0160] In the above embodiments, when it is determined that the power equipment has a fault, it is further determined whether the fault is a remotely repairable fault. If the fault is remotely repairable, a fault repair strategy for the power equipment is determined based on the fault. Based on the fault repair strategy, the power equipment is remotely repaired, which can effectively reduce the complexity of power equipment repair and improve the efficiency and convenience of power equipment fault repair.

[0161] In some embodiments, the fault repair strategy includes at least one fault repair parameter and a parameter adjustment method corresponding to the fault repair parameter, such as... Figure 5 As shown, remote maintenance of power equipment based on a fault-based maintenance strategy includes:

[0162] S502, Obtain the permission level for adjusting fault repair parameters.

[0163] Among these, fault repair parameters are key variables that need to be adjusted during remote maintenance of equipment faults, directly affecting the effectiveness of remote maintenance. The corresponding parameter adjustment methods represent the specific technical paths for adjusting fault repair parameters.

[0164] For example, if the equipment failure includes SOC calibration error, the corresponding fault repair parameters may include temperature compensation coefficient and charge / discharge efficiency. If the equipment failure includes balancing circuit abnormality, the corresponding fault repair parameters may include balancing current threshold and balancing duty cycle. If the equipment failure includes charging strategy mismatch, the corresponding fault repair parameters may include charging cut-off voltage and constant current phase duration. If the equipment failure includes diagnostic misjudgment, the corresponding fault repair parameters may include feature extraction weights and anomaly thresholds.

[0165] The adjustment authority level for fault maintenance parameters is a parameter used to characterize the correlation between fault maintenance parameters and the actual operation and control of power equipment. The higher the adjustment authority level of a fault maintenance parameter, the stronger the correlation between the parameter adjustment process and the operational safety of the power equipment. Arbitrary adjustments may lead to uncontrolled equipment operation, thereby causing operational risks. Examples include battery discharge power protection values ​​and maximum output torque thresholds.

[0166] In some embodiments, the equipment management system can determine the adjustment permission level of fault maintenance parameters based on the parameter identifier of the fault maintenance parameters.

[0167] S504: When the adjusted permission level is greater than the automatic adjustment level threshold, the power equipment is authenticated using the digital key of the power equipment.

[0168] The automatic adjustment level threshold is a preset threshold used to determine whether the conditions for fault maintenance parameters require dual authentication. If the adjustment permission level is greater than the automatic adjustment level threshold, it indicates that the fault maintenance parameter is a power equipment operation control parameter. If parameter adjustment is required, both the power equipment and the equipment management system need to perform dual authentication to improve the security of parameter adjustment and thus enhance the operational safety of the power equipment. If the adjustment permission level is less than or equal to the automatic adjustment level threshold, it can be considered that the equipment management system can directly adjust the fault maintenance parameter without affecting the operational safety of the power equipment.

[0169] Among them, the digital key for power equipment is a virtual key based on digital technology that enables equipment unlocking, starting, and various control functions. It can communicate with power equipment via mobile devices such as smartphones and smartwatches, replacing traditional physical keys. When the power equipment is in operation, the equipment management system can obtain the digital key of the power equipment by calling the equipment control system, and then use the digital key to authenticate the power equipment.

[0170] Digital key authentication is a secure access control mechanism that uses digital technology to replace traditional physical keys. The equipment management system can obtain the digital key of the power equipment and initiate an authorization request to the user based on the digital key to perform digital key authentication. If the user authorizes and verifies the authentication through the user terminal, the digital key authentication is considered successful; otherwise, the digital key authentication is considered to have failed.

[0171] In some embodiments, the equipment management system can compare the adjustment permission level of the fault maintenance parameters with the automatic adjustment level threshold. If the adjustment permission level is greater than the automatic adjustment level threshold, the equipment management system can obtain the digital key of the power equipment and perform digital key authentication on the power equipment based on the digital key.

[0172] S506, upon successful digital key authentication, generates remote maintenance instructions based on fault maintenance parameters and the corresponding parameter adjustment methods.

[0173] In some embodiments, when digital key authentication is successful, it indicates that the equipment management system can adjust the fault repair parameters without affecting the safe operation of the power equipment. The equipment management system generates remote maintenance instructions based on the fault repair parameters and the corresponding parameter adjustment methods.

[0174] S508 issues digital certificates for remote maintenance commands and sends the digital certificates and remote maintenance commands to the equipment control system of the power equipment.

[0175] Digital certificates are electronic documents issued by the equipment management system for remote maintenance commands. They are used to verify the identity of entities in the network environment and ensure the data security and integrity of the communication process. By binding the digital signature of the certificate issuing authority, digital certificates provide trusted identity verification for both parties in network communication—the equipment management system and the equipment control system of the power equipment.

[0176] In some embodiments, after generating a remote maintenance instruction, the equipment management system can issue a digital certificate for the remote maintenance instruction and send the digital certificate and the remote maintenance instruction together to the equipment control system of the power equipment. The remote maintenance instruction instructs the power equipment to adjust the fault maintenance parameters on its own, thereby realizing remote maintenance of the equipment fault.

[0177] In the above embodiments, when it is determined that the adjustment permission level of the fault maintenance parameters is greater than the automatic adjustment level threshold, the issuance of remote maintenance commands is subject to dual authentication, namely digital key authentication and digital certificate authentication, so as to improve the security of remote fault maintenance of power equipment and reduce the possibility that the equipment operation control of the power equipment will be abnormal due to external information tampering, which will affect the safety of equipment operation.

[0178] In some embodiments, such as Figure 6 As shown, the fault detection method for power equipment also includes:

[0179] S602, when the remote maintenance of the power equipment is completed, the maintenance result of the power equipment is verified based on the maintenance verification mechanism corresponding to the equipment fault, and the maintenance verification result is obtained.

[0180] The maintenance verification mechanism is the verification method used to verify the maintenance results of equipment faults. Understandably, different equipment faults correspond to different maintenance verification mechanisms.

[0181] Among them, the maintenance verification result is used to reflect whether the remote maintenance of the power equipment for equipment failure is successful. The maintenance verification result can include whether the maintenance was successful or the maintenance failed.

[0182] In some embodiments, the maintenance verification mechanism can be a tiered verification mechanism, meaning it can include three verification stages: real-time data verification, diagnostic model verification, and operational condition verification. Taking a balanced circuit anomaly as an example of equipment failure, in the real-time data verification stage, the equipment management system can compare the consistency of the adjusted power equipment battery voltage. If the decrease in voltage standard deviation reaches a threshold, the real-time data verification is considered successful, and the system proceeds to the diagnostic model verification stage. For example, if the threshold is 5mV, and the voltage standard deviation decreases from 8mV to 3mV, the real-time data verification is considered successful. In the diagnostic model verification stage, the equipment management system can run the improved fault detection model to obtain the model's false alarm rate. If the decrease in false alarm rate reaches a threshold, the diagnostic model verification is considered successful. For example, if the false alarm rate decreases from 12% to 3%, the diagnostic model verification is considered successful, and the system proceeds to the operational condition verification stage. In this stage, the equipment management system can simulate high and low temperature environment tests to determine whether the balanced current fluctuation range under the simulated environment meets the standard, such as whether the fluctuation range is within ±5%. If it does, the operational condition verification is considered successful, meaning the maintenance verification result for the balanced circuit anomaly is considered a successful remote maintenance.

[0183] In some embodiments, when the remote maintenance of the power equipment is completed, the equipment management system can determine the maintenance verification mechanism corresponding to the equipment fault, and verify the maintenance result of the power equipment based on the maintenance verification mechanism to obtain the maintenance verification result of the power equipment.

[0184] In some embodiments, after the equipment control system of the power equipment adjusts the fault maintenance parameters according to the corresponding parameter adjustment method in response to the remote maintenance command, it can send a remote maintenance completion signal to the equipment management system. When the equipment management system receives the remote maintenance completion signal sent by the equipment control system, it can determine that the remote maintenance of the power equipment has ended.

[0185] S604: If the maintenance verification results indicate that the power equipment has been successfully repaired remotely for the equipment fault, a remote repair success message will be generated.

[0186] In some embodiments, when the maintenance verification result indicates that the power equipment has been successfully repaired remotely for a fault, the equipment management system can generate a remote repair success message to notify the user that the remote repair of the power equipment has been successfully completed.

[0187] S606 sends a successful remote maintenance notification to the power equipment's display terminal.

[0188] Among them, the display terminal of the power equipment is a terminal component with display function installed on the power equipment, such as the instrument panel or intelligent display screen installed on the power vehicle.

[0189] In some embodiments, the equipment management system may send the generated remote maintenance success notification message to the display terminal of the power equipment.

[0190] In the above embodiments, after the remote maintenance is completed, the equipment management system can also use the maintenance verification mechanism corresponding to the equipment fault to verify the remote maintenance results of the power equipment, which can close the loop of remote maintenance of the power equipment and realize the real-time availability of remote maintenance.

[0191] In addition to successful remote repairs, in some embodiments, such as Figure 7 As shown, the fault detection method for power equipment also includes:

[0192] S702, when the maintenance verification results indicate that remote maintenance of the power equipment for equipment faults is unsuccessful, determine the number of times remote maintenance should be performed for the equipment faults.

[0193] The number of repairs refers to the number of repairs performed remotely for equipment malfunctions. If the remote repair is successful, the number of repairs will be reset to zero.

[0194] In some embodiments, when the equipment management system determines that the maintenance verification result indicates that the power equipment was not successfully repaired remotely for the equipment fault, it can determine the number of times remote repair was performed for the equipment fault.

[0195] S704, if the number of repairs is less than the preset repair number threshold, return to the step of performing remote repairs on the power equipment based on the fault repair strategy, and increase the repair number by one.

[0196] The preset repair count threshold is a limit set to prevent infinite callbacks. If the number of repair attempts is less than the preset threshold, it can be assumed that the remote repair failure is due to an occasional error, and there is still a possibility of successful remote repair. If the number of repair attempts equals the preset threshold, it can be assumed that the equipment fault cannot be repaired remotely.

[0197] In some embodiments, the equipment management system compares the number of repairs with a preset repair count threshold. If the number of repairs is less than the preset repair count threshold, it can return to re-execute the steps of remotely repairing the power equipment based on the fault repair strategy, and increment the repair count by 1.

[0198] S706, when the number of repairs equals the preset repair number threshold, performs parameter restoration processing on the power equipment based on the backup parameters saved for the power equipment before remote repair.

[0199] Among them, backup parameters are the parameter values ​​corresponding to the fault repair parameters before the power equipment is remotely repaired. Backup parameters can be stored in the equipment control system of the power equipment, such as the ferroelectric random access memory (FRAM) of the BMS.

[0200] In some embodiments, when the number of repairs equals a preset repair count threshold, the equipment management system can generate a remote repair operation cancellation instruction and send the remote repair operation cancellation instruction to the equipment control system of the power equipment, instructing the equipment control system to perform parameter restoration processing on the power equipment according to the backup parameters, and cancel the remote repair operation performed on the power equipment.

[0201] In the above embodiments, when the number of repairs has not reached the preset repair threshold, multiple callbacks can effectively improve the success rate of remote repairs and reduce the probability of repair failures due to occasional reasons. When the number of repairs reaches the preset repair threshold, canceling the remote repair operation and restoring the equipment parameters of the power equipment can restore the power equipment to its initial fault state, eliminating the need for re-fault detection and providing information for subsequent repairs.

[0202] In other embodiments, the fault detection method for power equipment further includes: determining a remote professional maintenance terminal that matches the equipment fault; generating a remote assistance maintenance instruction based on the fault detection result corresponding to the equipment fault; and sending the remote assistance maintenance instruction to the remote professional maintenance terminal.

[0203] Among them, the remote professional maintenance terminal is the user terminal used by professional maintenance personnel. It is understandable that different equipment faults require different professional maintenance personnel. Therefore, it is necessary to determine the remote professional maintenance terminal that matches the equipment fault.

[0204] Among them, the remote assistance maintenance instruction is an instruction message used to instruct a remote professional maintenance terminal to perform remote assistance maintenance on power equipment in response to equipment failure.

[0205] In some embodiments, the equipment management system can determine the remote professional maintenance terminal that matches the fault identifier of the equipment fault, generate a remote assistance maintenance instruction based on the fault detection result corresponding to the equipment fault, and send the remote assistance maintenance instruction to the remote professional maintenance terminal to instruct the professional maintenance personnel of the remote professional maintenance terminal to perform remote assistance maintenance for the equipment fault.

[0206] In some embodiments, professional maintenance personnel can send professional maintenance information for equipment failure to the equipment management system. The equipment management system generates remote professional maintenance assistance instructions based on the professional maintenance information and sends the remote professional maintenance assistance instructions to the equipment control system of the power equipment, instructing the equipment control system to perform remote maintenance operations on the power equipment according to the remote professional maintenance assistance instructions.

[0207] In some embodiments, the device management system can also send diagnostic code Ox1A3F to a remote professional maintenance terminal via a communication bus (CAN bus) to trigger a remote assistance mode for the professional maintenance personnel application, that is, the professional maintenance personnel can remotely guide the user to complete the fault repair through the application.

[0208] In the above embodiments, when the equipment management system determines that it is unable to perform remote maintenance on the power equipment, it can connect professional maintenance personnel to assist in the maintenance, thereby improving the efficiency and complexity of fault repair of the power equipment.

[0209] In addition to remotely repairable equipment faults, power equipment may also experience non-repairable equipment faults. Therefore, in some embodiments, the fault detection method for power equipment further includes: when the fault detection result indicates that the power equipment has a fault, and the fault is not remotely repairable, determining maintenance resources suitable for the location of the power equipment based on the fault and geographical location information; generating maintenance suggestions for the equipment fault based on the maintenance resources; and sending the maintenance suggestions to the display terminal of the power equipment.

[0210] Maintenance resources refer to the total resources of technical elements, material support, and service systems required to support the entire process of equipment fault repair.

[0211] In some embodiments, when the fault detection results indicate that the power equipment has a fault, and the fault is not remotely repairable, the equipment management system can determine the types of maintenance resources required to repair the fault, such as maintenance sites, maintenance personnel, and maintenance tools. Then, based on geographical location information, it determines the location of the power equipment and searches for the necessary maintenance resource types outwards from the power equipment's location. After obtaining the relative positions of the maintenance resource types with respect to the power equipment's location, it generates maintenance suggestions based on each maintenance resource type and its relative position to the power equipment's location. These suggestions may include maintenance resource type information, relative position information of the maintenance resource types, maintenance routes for the power equipment, and a maintenance value assessment. The equipment management system can then send the generated maintenance suggestions to the power equipment's display terminal to provide maintenance advice to the user.

[0212] In some embodiments, when there are multiple maintenance resources for the same maintenance resource category, the equipment management system can generate maintenance suggestions based on the relative positions of each maintenance resource category, with the aim of minimizing the time required for successful repair of the power equipment.

[0213] In the above embodiments, when the equipment failure of the power equipment is not a remotely repairable failure, maintenance resources that match the location of the power equipment can be determined based on geographical location information. Maintenance suggestions can be generated based on the maintenance resources that match the location of the power equipment, which can provide users with maintenance suggestions that meet their actual needs and increase the probability of the suggestions being adopted.

[0214] Besides the situations mentioned above, the power equipment may not be experiencing any temporary equipment failure. However, in order to improve the operational safety and reliability of the power equipment, in some embodiments, such as... Figure 8 As shown, the fault detection method for power equipment also includes:

[0215] S802, if the fault detection results indicate that there is no equipment fault in the power equipment, determine the operating area of ​​the power equipment based on the geographical location information.

[0216] The equipment operating area refers to the location of the power equipment during operation. The area of ​​the equipment operating area can be determined based on the actual management precision of the equipment management personnel and the actual operating route of the power equipment.

[0217] In some embodiments, the geographic location information includes the origin and destination of the power equipment, and the equipment management system can determine the operating area of ​​the power equipment based on its location and destination.

[0218] In some embodiments, the equipment management system can determine the equipment operating area of ​​the power equipment based on the location of the power equipment and a preset area division range, with the location of the power equipment as the center and according to the preset area division range.

[0219] In some embodiments, if the fault detection results indicate that there is no equipment fault in the power equipment, the equipment management system can determine the operating area of ​​the power equipment based on geographical location information.

[0220] S804, based on the equipment operating area and dynamic fault distribution model, determines the geographically related faults existing in the equipment operating area.

[0221] Among them, the dynamic fault distribution model is a spatiotemporal distribution map of fault probability based on real-time data updates, used to reflect the dynamic distribution of equipment faults in various regions. For example, the dynamic fault distribution model can be a visual model based on a 3D map, with dynamic fault distribution information as surface annotation information. Another example is a fault heatmap.

[0222] Geographically related failures refer to equipment failures that are related to geographical location and environmental factors. These failures exhibit significant spatial clustering. Therefore, geographically related failures can also be considered as clusters of equipment failures caused by environmental factors in specific geographical locations. For example, in high-humidity areas, the probability of short circuits in power equipment circuit boards increases significantly, and in high-altitude areas, the probability of engine power failures also increases significantly.

[0223] In some embodiments, the equipment management system can map the fault distribution area corresponding to the equipment operating area on a dynamic fault distribution model based on the equipment operating area, and then perform fault search on the fault distribution area to determine the equipment faults distributed in the fault distribution area as geographically related faults existing in the equipment operating area.

[0224] S806, based on geographically related faults, performs fault early warning analysis on power equipment and obtains the fault early warning analysis results of power equipment.

[0225] Among them, fault early warning analysis is an analytical process for predicting the fault risk of power equipment. When there is no equipment fault in the power equipment, targeted fault early warning analysis can be carried out on the power equipment based on the high-incidence faults in the equipment's operating area. This can not only ensure the safe and stable operation of the power equipment, but also reduce the analytical resources consumed by large-scale fault early warning analysis.

[0226] Among them, the fault early warning analysis results can characterize whether the power equipment has a fault risk for geographically related faults, and the level of fault risk.

[0227] In some embodiments, after identifying geographically related faults, the equipment management system can perform fault warning analysis on the power equipment based on the geographically related faults to obtain the fault warning analysis results of the power equipment.

[0228] In some embodiments, the equipment management system has a pre-set fault early warning analysis model. The equipment management system can select geographically related faults and input the equipment operation information of the power equipment into the fault early warning analysis model corresponding to the geographically related faults to obtain the fault early warning analysis results of the power equipment.

[0229] In some embodiments, similar to the fault detection steps, the equipment management system can adjust the baseline fault warning conditions for geographically related faults based on geographical location information to obtain fault warning conditions for geographically related faults. Based on the equipment operation information and the fault warning conditions, the system can perform fault warning analysis for geographically related faults on the power equipment to obtain the fault warning analysis results for the power equipment in response to geographically related faults.

[0230] In the above embodiments, when there is no equipment failure and there is a need to perform fault warning analysis on the power equipment, the power equipment can be divided into equipment operating areas, and the geographically related faults that occur frequently in the equipment operating areas can be identified. Fault warning analysis can be performed only on geographically related faults, which can reduce the analysis resources consumed by large-scale fault warning analysis and improve the efficiency of fault warning analysis while ensuring the safe and stable operation of the power equipment.

[0231] In some embodiments, geographic location information includes climate information and road condition information. For example... Figure 9 As shown in S804, based on the equipment operating area and the dynamic fault distribution model, the geographically related faults existing in the equipment operating area are determined, including:

[0232] S902, Obtain the dynamic fault distribution model, and determine the initial geographically related faults existing in the equipment operating area based on the dynamic fault distribution model.

[0233] Climate information refers to the meteorological and environmental conditions of the location of the power equipment. Climate information may include temperature, humidity, air pressure, wind speed, etc. Road condition information refers to the physical and load conditions of the area where the power equipment operates, such as the slope, curvature, bump index, congestion index, and road surface type of the power equipment's operating path.

[0234] Initial geographic-related faults refer to the geographic-related faults in the equipment's operating area before the dynamic fault distribution model is updated based on climate and road condition information of the power equipment's location.

[0235] In some embodiments, the equipment management system can acquire a dynamic fault distribution model, perform fault search on the dynamic fault distribution model based on the equipment operating area, and determine the initial geographically related faults existing in the equipment operating area.

[0236] S904 performs feature mapping on climate information and road condition information respectively to obtain the climate feature vector and road condition feature vector of the location of the power equipment.

[0237] Feature mapping is the process of transforming information data into processable numerical vectors. Its purpose is to compress the information dimension while retaining the actual physical meaning of the information, such as mapping high pressure to specific pressure values ​​and rainstorm weather to precipitation intensity values.

[0238] In some embodiments, the equipment management system can perform feature mapping on climate information and road condition information respectively to obtain climate feature vectors and road condition feature vectors of the environment in which the power equipment is located.

[0239] S906 inputs the climate feature vector and road condition feature vector into the fault probability model to obtain the fault probability distribution of the location of the power equipment.

[0240] The fault probability model is a machine learning-based fault probability prediction function. Based on input climate and road condition feature vectors, it determines the potential equipment faults (i.e., probable faults) at the location of the power equipment, along with the probability of those faults occurring, given the input climate and road condition feature vectors. Understandably, the fault probability distribution model can be trained by equipment managers using historical fault distribution data, historical climate feature vectors, and historical road condition feature vectors.

[0241] The fault probability distribution is a spatial map representing the likelihood of equipment failures occurring at the current location of the power equipment. The fault probability distribution can include possible equipment failures and the probability of each failure occurring.

[0242] In some embodiments, the equipment management system can input climate feature vectors and road condition feature vectors into the fault probability model to obtain the fault probability distribution of the location of the power equipment. Understandably, the fault probability distribution can be displayed in the form of a fault probability distribution table or a fault probability heatmap.

[0243] S908, when it is determined that there is a new geographically related fault at the location of the power equipment based on the fault probability distribution, the dynamic fault distribution model is updated according to the new geographically related fault.

[0244] Among them, newly added geographic correlation faults refer to geographic correlation faults that are different from the initial geographic correlation faults.

[0245] In some embodiments, the equipment management system can determine whether there are any new geographically related faults at the location of the power equipment based on the probability distribution. If it is determined that there are new geographically related faults, the dynamic fault distribution model is updated according to the new geographically related faults to obtain the updated dynamic fault distribution model.

[0246] In some embodiments, the equipment management system can determine the possible equipment faults at the location of the power equipment based on the probability distribution, remove the initial geographically related faults from the possible equipment faults to obtain the remaining possible faults, and identify the remaining possible faults whose probability of occurrence is greater than a preset probability threshold as new geographically related faults.

[0247] S910 identifies the initial geographic correlation fault and the newly added geographic correlation fault as geographic correlation faults existing in the equipment operating area.

[0248] In some embodiments, the device management system may identify initial geographic correlation faults and newly added geographic correlation faults together as geographic correlation faults existing in the device operating area.

[0249] In the above embodiments, updating the dynamic fault distribution model by using the real-time geographical location information collected from the power equipment can effectively maintain the accuracy of the fault distribution information in the dynamic fault distribution model, providing an accurate data foundation for subsequent fault early warning analysis.

[0250] In some embodiments, the fault detection method for power equipment further includes: when the equipment operating area includes an electronic fence area, determining the battery health monitoring activation area of ​​the electronic fence area based on geographical location information. When the power equipment enters the battery health monitoring activation area, increasing the sampling frequency for battery health monitoring of the power equipment.

[0251] An electronic fence is a technical boundary defined based on virtual geographic location. A specific area is set through software or hardware systems, and when a power device enters this area, the system automatically triggers battery health monitoring. This electronic fence can be a continuous downhill or uphill area, etc. After entering the electronic fence area, the power device will automatically monitor battery health. If any behavior affecting battery performance is detected, battery parameters will be optimized in a timely manner to extend battery life and improve battery health. For example, when entering a long downhill section, voltage can be limited in advance to reduce the risk of damage to fuse components due to overvoltage.

[0252] The battery health monitoring activation zone can be considered a preparation area before entering the electronic fence area. Once the power equipment enters the battery health monitoring activation zone, it indicates that the equipment is about to enter the electronic fence area. At this point, the sampling frequency for battery health monitoring of the power equipment can be increased, triggering high-precision battery health monitoring. Understandably, the size of the battery health monitoring activation zone is set by the equipment administrator according to actual needs.

[0253] The sampling frequency of battery health monitoring refers to the number of times key parameters of battery health are collected per unit time. By increasing the sampling frequency of battery health monitoring for power equipment, the real-time performance and accuracy of battery health monitoring can be effectively improved.

[0254] In some embodiments, when the device management system determines that the device operating area includes an electronic fence area, it can determine the battery health monitoring activation area of ​​the electronic fence area based on geographical location information. For example, it can determine the area range of the device operating area based on geographical location information, then determine the area range of the battery health monitoring activation area based on the area range, and finally determine the battery health monitoring activation area of ​​the electronic fence area based on the area range of the battery health monitoring activation area and the electronic fence area. Real-time location monitoring of the power equipment is performed, and when the power equipment enters the battery health monitoring activation area, the sampling frequency for battery health monitoring of the power equipment is increased, providing data collection support for the healthy operation of the power equipment within the electronic fence area.

[0255] In the above embodiments, by setting a corresponding battery health monitoring start area for the electronic fence area, preparations can be made in advance before the power equipment enters the electronic fence area, increasing the sampling frequency of battery health monitoring for the power equipment. This enables high-frequency sampling of the power equipment during operation within the electronic fence area, providing data collection support for the healthy operation of the power equipment within the electronic fence area, effectively improving the battery health of the power equipment and extending the battery life of the power equipment.

[0256] In some embodiments, a fault detection method for power equipment is provided, and the application of this method to fault detection of electric vehicles is illustrated as an example. Figure 10 As shown, the method specifically includes the following steps:

[0257] S1001, acquire equipment operation information, geographical location information, and baseline fault judgment conditions for each fault to be detected of the power equipment.

[0258] The geographic location information includes climate information and road condition information.

[0259] S1002, for each fault to be detected, determine the geographic correlation parameters that have a geographic correlation with the baseline fault judgment conditions of the fault to be detected.

[0260] S1003, extract information from geographic location information based on geographic association parameters to obtain geographic association information corresponding to the geographic association parameters.

[0261] S1004, extract fault judgment parameters from the baseline fault judgment conditions to obtain the fault judgment parameters of the fault to be detected.

[0262] S1005, invoke the adjustment value mapping relationship that matches the fault judgment parameters.

[0263] S1006, Based on the adjustment value mapping relationship, the adjustment value that matches the geographic association information is determined as the parameter adjustment value of the fault judgment parameter.

[0264] S1007, Adjust the baseline fault judgment conditions according to the parameter adjustment values ​​to obtain the fault judgment conditions for the fault to be detected.

[0265] S1008, based on equipment operation information and various fault judgment conditions, performs fault detection on the power equipment and obtains the fault detection results of the power equipment.

[0266] S1009, determine whether there is a fault in the power equipment. If there is, execute the fault repair steps; if not, execute the fault warning analysis steps.

[0267] like Figure 11 As shown, the troubleshooting steps include:

[0268] S1101, determine whether the equipment failure of the power equipment is a remotely repairable failure. If yes, proceed to S1102; otherwise, proceed to 1110.

[0269] S1102, determine at least one fault maintenance parameter of the power equipment and the parameter adjustment method corresponding to the fault maintenance parameter based on the equipment fault.

[0270] S1103, Obtain the permission level for adjusting fault repair parameters.

[0271] S1104, determine whether the adjustment permission level is greater than the automatic adjustment level threshold. If not, execute S1105; if so, execute S1107.

[0272] S1105 generates remote maintenance commands based on fault maintenance parameters and the corresponding parameter adjustment methods.

[0273] S1106 sends remote maintenance instructions to the equipment control system of the power equipment.

[0274] S1107, Digital key authentication of power equipment based on the digital key of the power equipment.

[0275] S1108, upon successful digital key authentication, generates remote maintenance instructions based on fault maintenance parameters and the corresponding parameter adjustment methods.

[0276] S1109 issues digital certificates for remote maintenance instructions and sends the digital certificates and remote maintenance instructions to the equipment control system of the power equipment.

[0277] S1110, based on equipment malfunction and geographical location information, determines the maintenance resources suitable for the location of the power equipment.

[0278] S1111 generates maintenance suggestions for equipment failures based on maintenance resources and sends the maintenance suggestions to the display terminal of the power equipment.

[0279] like Figure 12 As shown, when remote maintenance of power equipment is completed, the fault detection method for power equipment also includes a maintenance result verification step.

[0280] S1201, Based on the maintenance verification mechanism corresponding to equipment failure, the maintenance results of the power equipment are verified to obtain the maintenance verification results.

[0281] S1202, if the maintenance verification result indicates that the power equipment has been successfully repaired remotely for the equipment fault, a remote repair success message is generated.

[0282] S1203 sends a successful remote maintenance notification to the power equipment's display terminal, and resets the maintenance count to zero.

[0283] S1204, when the maintenance verification results indicate that remote maintenance of the power equipment for equipment faults is unsuccessful, determine the number of times remote maintenance should be performed for the equipment faults.

[0284] S1205, determine whether the number of repairs is less than the preset repair number threshold. If it is less, increment the repair number by 1 and return to execute S1201. If it is not less, execute S1206.

[0285] The preset repair frequency threshold can be 3 times.

[0286] S1206 performs parameter restoration processing on the power equipment based on the backup parameters saved for the power equipment prior to remote maintenance.

[0287] S1207, Determine the remote professional maintenance terminal that matches the equipment fault.

[0288] S1208 generates a remote assistance repair instruction based on the fault detection results corresponding to the equipment fault, and sends the remote assistance repair instruction to the remote professional repair terminal.

[0289] like Figure 13 As shown, the fault early warning analysis steps include:

[0290] S1301, determine the operating area of ​​the power equipment based on geographical location information.

[0291] S1302, Obtain the dynamic fault distribution model, and determine the initial geographically related faults existing in the equipment operating area based on the dynamic fault distribution model.

[0292] Among them, the dynamic fault distribution model is a fault distribution model generated based on a 3D map, which can dynamically display the distribution of fault types on the 3D map.

[0293] S1303 performs feature mapping on climate and road condition information to obtain the climate feature vector and road condition feature vector of the location of the power equipment.

[0294] S1304. Input the climate feature vector and road condition feature vector into the fault probability model to obtain the fault probability distribution of the location of the power equipment.

[0295] S1305, if it is determined from the fault probability distribution that there is a new geographically related fault at the location of the power equipment, the dynamic fault distribution model is updated according to the new geographically related fault.

[0296] S1306, the initial geographic correlation fault and the newly added geographic correlation fault are identified as geographic correlation faults existing in the equipment operating area.

[0297] S1307, perform fault early warning analysis on power equipment based on geographically related faults, and obtain the fault early warning analysis results of power equipment.

[0298] The aforementioned fault detection method for power equipment supports dynamic loading of parameter adjustment strategies when there are remotely repairable faults, eliminating the need to recall faulty vehicles. It also achieves closed-loop control of fault warning, cloud detection, edge execution, and repair verification. Furthermore, it realizes a three-dimensional map display of dynamic fault type distribution through geographic feature encoding.

[0299] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0300] Based on the same inventive concept, this application also provides a power equipment fault detection device for implementing the above-described power equipment fault detection method. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more power equipment fault detection device embodiments provided below can be found in the limitations of the power equipment fault detection method described above, and will not be repeated here.

[0301] In one embodiment, such as Figure 14 As shown, a fault detection device 1400 for power equipment is provided, including: an information acquisition module 1401, a geographical adaptation adjustment module 1402, and a fault detection module 1403, wherein:

[0302] The information acquisition module 1401 is used to acquire equipment operation information and geographical location information of the power equipment.

[0303] The geographic adaptation adjustment module 1402 is used to adjust the baseline fault judgment conditions of each fault to be detected based on the geographic location information, so as to obtain the fault judgment conditions of each fault to be detected.

[0304] The fault detection module 1403 is used to perform fault detection on the power equipment based on the equipment operation information and various fault judgment conditions, and obtain the fault detection results of the power equipment.

[0305] In some embodiments, the geographic adaptability adjustment module 1402 is used to: obtain the baseline fault judgment conditions for each fault to be detected; for each fault to be detected, determine the geographic association parameters that have a geographic correlation with the baseline fault judgment conditions of the fault to be detected; extract information from the geographic location information according to the geographic association parameters to obtain the geographic association information corresponding to the geographic association parameters; and perform geographic adaptability adjustment on the baseline fault judgment conditions based on the geographic association information to obtain the fault judgment conditions for the fault to be detected.

[0306] In some embodiments, the geographic adaptability adjustment module 1402 is used to: extract fault judgment parameters from the baseline fault judgment conditions to obtain fault judgment parameters for the fault to be detected; call the adjustment value mapping relationship that matches the fault judgment parameters, the adjustment value mapping relationship being used to characterize the correspondence between each geographic association information and each adjustment value; based on the adjustment value mapping relationship, determine the adjustment value that matches the geographic association information as the parameter adjustment value of the fault judgment parameters; and adjust the baseline fault judgment conditions according to the parameter adjustment value to obtain the fault judgment conditions for the fault to be detected.

[0307] In some embodiments, the fault detection device for power equipment further includes: a remote maintenance module, used to determine a fault maintenance strategy for the power equipment based on the fault when the fault detection result indicates that there is a fault in the power equipment and the fault is a remotely repairable fault; and to perform remote maintenance on the power equipment based on the fault maintenance strategy.

[0308] In some embodiments, the fault repair strategy includes at least one fault repair parameter and a parameter adjustment method corresponding to the fault repair parameter. The remote repair module is used to: obtain the adjustment permission level of the fault repair parameter; when the adjustment permission level is greater than the automatic adjustment level threshold, authenticate the power equipment using the power equipment's digital key; if the digital key authentication is successful, generate a remote repair instruction based on the fault repair parameter and the corresponding parameter adjustment method; issue a digital certificate for the remote repair instruction; and send the digital certificate and the remote repair instruction to the power equipment's equipment control system.

[0309] In some embodiments, the fault detection device for power equipment further includes: a maintenance verification module, used to verify the maintenance result of the power equipment based on the maintenance verification mechanism corresponding to the equipment fault when the remote maintenance of the power equipment is completed, and obtain the maintenance verification result; when the maintenance verification result indicates that the power equipment has successfully performed remote maintenance for the equipment fault, generate a remote maintenance success prompt message; and send the remote maintenance success prompt message to the display terminal of the power equipment.

[0310] In some embodiments, the maintenance verification module is further configured to: determine the number of times remote maintenance is required for the equipment fault when the maintenance verification result indicates that the power equipment is unsuccessful in remote maintenance; return to the step of performing remote maintenance on the power equipment based on the fault maintenance strategy and increase the number of maintenance times when the number of maintenance times is less than the preset maintenance time threshold; and perform parameter recovery processing on the power equipment based on the backup parameters saved for the power equipment before remote maintenance when the number of maintenance times is equal to the preset maintenance time threshold.

[0311] In some embodiments, the fault detection device for power equipment further includes: a professional maintenance assistance module, used to determine a remote professional maintenance terminal that matches the equipment fault; generate a remote assistance maintenance instruction based on the fault detection result corresponding to the equipment fault, and send the remote assistance maintenance instruction to the remote professional maintenance terminal; the remote assistance maintenance instruction is used to instruct the remote professional maintenance terminal to perform remote assistance maintenance on the power equipment for the equipment fault.

[0312] In some embodiments, the fault detection device for power equipment further includes: a maintenance suggestion generation module, used to determine maintenance resources suitable for the location of the power equipment based on the equipment fault and geographical location information when the fault detection result indicates that the power equipment has a fault and the equipment fault is not a remotely repairable fault; generate maintenance suggestions for the equipment fault based on the maintenance resources; and send the maintenance suggestions to the display terminal of the power equipment.

[0313] In some embodiments, the fault detection device for power equipment further includes:

[0314] The equipment operating area determination module is used to determine the operating area of ​​the power equipment based on geographical location information when the fault detection results indicate that there is no equipment fault in the power equipment.

[0315] The geographic correlation fault determination module is used to determine the geographic correlation faults existing in the equipment operating area based on the equipment operating area and the dynamic fault distribution model.

[0316] The fault early warning analysis module is used to perform fault early warning analysis on power equipment based on geographically related faults, and obtain the fault early warning analysis results of the power equipment.

[0317] In some embodiments, geographic location information includes climate information and road condition information. The geographic correlation fault determination module is used to: acquire a dynamic fault distribution model; determine initial geographic correlation faults existing in the equipment operating area based on the dynamic fault distribution model; perform feature mapping on the climate information and road condition information respectively to obtain climate feature vectors and road condition feature vectors of the power equipment's location; input the climate feature vectors and road condition feature vectors into a fault probability model to obtain the fault probability distribution of the power equipment's location; if, based on the fault probability distribution, it is determined that a new geographic correlation fault exists at the power equipment's location, update the dynamic fault distribution model according to the new geographic correlation fault; and determine the initial geographic correlation fault and the new geographic correlation fault as geographic correlation faults existing in the equipment operating area.

[0318] In some embodiments, the fault detection device for power equipment further includes:

[0319] The battery health monitoring module is used to determine the battery health monitoring activation area of ​​the electronic fence area based on geographical location information when the equipment operating area includes the electronic fence area; and to increase the sampling frequency of battery health monitoring for the power equipment when the power equipment enters the battery health monitoring activation area.

[0320] Each module in the aforementioned fault detection device for power equipment can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0321] In one embodiment, a computer device is provided, which may be a server integrating a device management system, and its internal structure diagram may be as follows: Figure 15 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data such as device operating information, geographical location information, fault diagnosis conditions, and fault detection results. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements a fault detection method for power equipment.

[0322] Those skilled in the art will understand that Figure 15 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0323] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the specific steps of the above-described embodiment of the fault detection method for power equipment.

[0324] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the specific steps of the above-described embodiment of the fault detection method for power equipment.

[0325] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the specific steps of the above-described embodiment of the fault detection method for power equipment.

[0326] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the acquisition, storage, processing, and transmission of the data all comply with relevant laws and regulations.

[0327] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0328] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0329] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A fault detection method for power equipment, characterized in that, The method includes: Acquire equipment operation information and geographic location information of the power equipment; the geographic location information includes climate information and road condition information. Based on the geographical location information, the baseline fault judgment conditions for each fault to be detected are adjusted for geographical adaptability to obtain the fault judgment conditions for each fault to be detected. Based on the equipment operation information and each of the fault judgment conditions, the power equipment is fault detected to obtain the fault detection result of the power equipment. If the fault detection result indicates that the power equipment has a fault, and the fault is a fault that can be repaired remotely, a fault repair strategy for the power equipment is determined based on the fault. The power equipment is remotely maintained based on the aforementioned fault repair strategy. If the fault detection result indicates that the power equipment does not have a fault, the operating area of ​​the power equipment is determined based on the geographical location information. Obtain a dynamic fault distribution model, and determine the initial geographically related faults existing in the equipment operating area based on the dynamic fault distribution model; The climate information and the road condition information are respectively subjected to feature mapping to obtain the climate feature vector and the road condition feature vector of the location of the power equipment; By inputting the climate feature vector and the road condition feature vector into the fault probability model, the fault probability distribution of the location of the power equipment is obtained. If, based on the fault probability distribution, it is determined that there is a new geographically related fault at the location of the power equipment, the dynamic fault distribution model is updated according to the new geographically related fault. The initial geographic-related faults and the newly added geographic-related faults are identified as geographic-related faults existing in the equipment operating area; the dynamic fault distribution model is a spatiotemporal distribution map of fault probability updated based on real-time data, used to reflect the dynamic distribution of equipment faults in each of the equipment operating areas; the geographic-related faults refer to equipment faults whose occurrence is related to geographical location and environmental factors. Based on the geographically related faults, a fault early warning analysis is performed on the power equipment to obtain the fault early warning analysis results of the power equipment.

2. The method according to claim 1, characterized in that, The step of adjusting the baseline fault judgment conditions for each fault to be detected based on the geographical location information to obtain the fault judgment conditions for each fault to be detected includes: Obtain the baseline fault judgment conditions for each fault to be detected; For each of the aforementioned faults to be detected, a geographically associated parameter is determined that has a geographical correlation with the baseline fault judgment condition of the fault to be detected. Based on the geographic association parameters, information is extracted from the geographic location information to obtain the geographic association information corresponding to the geographic association parameters; Based on the geographic association information, the baseline fault judgment conditions are adjusted for geographic adaptability to obtain the fault judgment conditions for the fault to be detected.

3. The method according to claim 2, characterized in that, The step of adjusting the baseline fault judgment conditions based on the geographic association information to obtain the fault judgment conditions for the fault to be detected includes: Fault judgment parameters are extracted from the benchmark fault judgment conditions to obtain the fault judgment parameters of the fault to be detected; Invoke the adjustment value mapping relationship that matches the fault judgment parameter. The adjustment value mapping relationship is used to characterize the correspondence between each geographic association information and each adjustment value. Based on the adjustment value mapping relationship, the adjustment value that matches the geographic association information is determined as the parameter adjustment value of the fault judgment parameter; The baseline fault judgment conditions are adjusted according to the parameter adjustment values ​​to obtain the fault judgment conditions for the fault to be detected.

4. The method according to claim 1, characterized in that, The fault repair strategy includes at least one fault repair parameter and the parameter adjustment method corresponding to the fault repair parameter; The remote maintenance of the power equipment based on the fault repair strategy includes: Obtain the adjustment permission level for the fault repair parameters; When the adjustment permission level is greater than the automatic adjustment level threshold, the power equipment is digitally authenticated using the digital key of the power equipment. If the digital key authentication is successful, a remote maintenance command is generated based on the fault repair parameters and the parameter adjustment method corresponding to the fault repair parameters. A digital certificate is issued for the remote maintenance instruction, and the digital certificate and the remote maintenance instruction are sent to the equipment control system of the power equipment.

5. The method according to claim 1, characterized in that, The method further includes: When the remote maintenance of the power equipment is completed, the maintenance result of the power equipment is verified based on the maintenance verification mechanism corresponding to the equipment fault, and the maintenance verification result is obtained. If the maintenance verification result indicates that the power equipment has been successfully repaired remotely for the equipment fault, a remote maintenance success message is generated. The successful remote maintenance notification message is sent to the display terminal of the power equipment.

6. The method according to claim 5, characterized in that, The method further includes: If the maintenance verification result indicates that the remote maintenance of the power equipment for the equipment fault is unsuccessful, the number of times remote maintenance is required for the equipment fault is determined. If the number of repairs is less than the preset repair threshold, return to the step of remotely repairing the power equipment based on the fault repair strategy, and increase the repair count by one. If the number of repairs equals the preset repair number threshold, parameter recovery processing is performed on the power equipment based on the backup parameters saved for the power equipment before remote repair.

7. The method according to claim 6, characterized in that, The method further includes: Identify a remote professional repair terminal that matches the fault of the equipment; A remote assistance repair instruction is generated based on the fault detection result corresponding to the equipment fault, and the remote assistance repair instruction is sent to the remote professional repair terminal; the remote assistance repair instruction is used to instruct the remote professional repair terminal to perform remote assistance repair on the power equipment in response to the equipment fault.

8. The method according to claim 1, characterized in that, The method further includes: If the fault detection result indicates that the power equipment has a fault, and the fault is not a fault that can be repaired remotely, then based on the fault and the geographical location information, the maintenance resources that match the location of the power equipment are determined. Based on the maintenance resources, maintenance suggestions for the equipment failure are generated and sent to the display terminal of the power equipment.

9. The method according to claim 1, characterized in that, The method further includes: If the device operating area includes an electronic fence area, the battery health monitoring activation area of ​​the electronic fence area is determined based on the geographical location information. When the power equipment enters the battery health monitoring activation area, the sampling frequency for battery health monitoring of the power equipment is increased.

10. A fault detection device for power equipment, characterized in that, The device includes: The information acquisition module is used to acquire equipment operation information and geographical location information of the power equipment; the geographical location information includes climate information and road condition information. The geographic adaptation adjustment module is used to adjust the baseline fault judgment conditions of each fault to be detected according to the geographic location information, so as to obtain the fault judgment conditions of each fault to be detected. The fault detection module is used to perform fault detection on the power equipment based on the equipment operation information and each of the fault judgment conditions, and obtain the fault detection result of the power equipment. The remote maintenance module is used to determine a fault maintenance strategy for the power equipment based on the fault when the fault detection result indicates that the power equipment has a fault, and the fault is a fault that can be repaired remotely; and to perform remote maintenance on the power equipment based on the fault maintenance strategy. The equipment operating area determination module is used to determine the equipment operating area of ​​the power equipment based on the geographical location information when the fault detection result indicates that the power equipment does not have a fault. A geographic correlation fault determination module is used to acquire a dynamic fault distribution model, and based on the dynamic fault distribution model, determine the initial geographic correlation faults existing in the equipment operating area; perform feature mapping on the climate information and the road condition information respectively to obtain the climate feature vector and road condition feature vector of the location of the power equipment; input the climate feature vector and the road condition feature vector into the fault probability model to obtain the fault probability distribution of the location of the power equipment; if it is determined that there are new geographic correlation faults at the location of the power equipment according to the fault probability distribution, update the dynamic fault distribution model according to the new geographic correlation faults; determine the initial geographic correlation faults and the new geographic correlation faults as geographic correlation faults existing in the equipment operating area; the dynamic fault distribution model is a fault probability spatiotemporal distribution map updated based on real-time data, used to reflect the dynamic distribution of equipment faults in each of the equipment operating areas; the geographic correlation faults refer to equipment faults whose occurrence is correlated with geographical location and environmental factors. The fault early warning analysis module is used to perform fault early warning analysis on the power equipment based on the geographically related faults, and obtain the fault early warning analysis results of the power equipment.

11. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 9.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 9.

13. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 9.

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