High-speed equipment detection method and device based on intelligent power supply and distribution box

Abstract

The invention is suitable for the technical field of intelligent transportation, and provides a high-speed equipment detection method and device based on an intelligent power supply and distribution box. In the embodiment of the invention, an intelligent power supply and distribution box determines whether the equipment has a fault according to the operation data information of the high-speed equipment and an equipment strategy, and if so, the operation data information of the high-speed equipment and the operation time when the information is collected are sent to an intelligent cloud platform for secondary detection; the smart cloud platform judges whether a fault occurs or not through the trained machine detection model, and performs corresponding processing after determination, such as giving an alarm, adjusting equipment parameters or starting an emergency plan and the like. Therefore, all-weather and all-directional monitoring of the high-speed tunnel equipment is realized, and the problem of fault false alarm caused by long service time of the equipment is solved.

Description

Technical Field

[0001] The present application relates to the field of intelligent transportation technology, and in particular to a high-speed equipment detection method and device based on an intelligent power supply distribution box. Background Art

[0002] In modern transportation construction, high-speed tunnels are key facilities connecting important transportation hubs, and their safety and operating efficiency are of vital importance. High-speed tunnels are equipped with a large number of high-speed equipment, such as ventilation systems, lighting systems, monitoring systems, and emergency rescue facilities. The stable operation of these equipment is directly related to the safe passage of vehicles in the tunnel and the emergency response capabilities in emergency situations.

[0003] However, high-speed tunnel equipment is in a complex and changeable operating environment for a long time, such as high humidity, high dust, electromagnetic interference, etc. These factors can easily lead to equipment performance degradation or even failure. Traditional equipment detection methods usually rely on manual inspections and regular maintenance. This method is not only inefficient and difficult to cover all equipment, but also difficult to detect and deal with potential faults in a timely manner, increasing the safety risks of tunnel operation.

[0004] With the rapid development of technologies such as the Internet of Things, big data, and cloud computing, the application of smart cloud platforms in the field of traffic management is becoming increasingly widespread. By integrating functions such as data collection, processing, analysis, and decision-making, smart cloud platforms can achieve remote monitoring and intelligent management of high-speed tunnel equipment. However, the existing smart cloud platforms still face some challenges in the detection of high-speed tunnel equipment, such as insufficient detection accuracy and a single processing strategy. For example, as the use time of the equipment gradually increases, the actual rated current of the equipment will also change. If this change is not taken into account when detecting faults, false alarms may occur. Summary of the invention

[0005] In view of this, the present application provides a high-speed equipment detection method and device based on an intelligent power supply distribution box to achieve all-weather, all-round monitoring of high-speed tunnel equipment, and solve the problem of false fault alarms caused by the equipment being used for a long time.

[0006] In a first aspect, the present application provides a high-speed device detection method based on an intelligent power distribution box, which is applied to a smart cloud platform. The smart cloud platform pre-assigns a corresponding device strategy to each high-speed device. The method includes:

[0007] Collecting the operation data information of the target high-speed equipment through the intelligent power distribution box, and determining the equipment strategy of the target high-speed equipment through the smart cloud platform;

[0008] Determine whether the target high-speed device fails by using the operation data information and the device policy, and when a failure is determined, determine the operation time of the target high-speed device;

[0009] Generate device detection information through the operation data information and the operation time, and send the device detection information to the smart cloud platform, wherein the device detection information includes the operation data information corresponding to each operation time;

[0010] The smart cloud platform performs secondary detection based on the device detection information to obtain the final detection result of the target high-speed device, and performs corresponding processing on the target high-speed device based on the final detection result.

[0011] Optionally, the performing secondary detection according to the device detection information includes:

[0012] The device detection information is preprocessed and feature extracted to obtain target feature data of the target high-speed device, and the target feature data is input into a pre-trained machine detection model, and the final detection result of the target high-speed device is determined by the machine detection model.

[0013] Optionally, the training process of the machine detection model includes:

[0014] Determine historical equipment detection information according to historical operation data information and operation time of the target high-speed equipment, and pre-process the characteristics of the historical equipment detection information to obtain historical characteristic data;

[0015] Determine a training set, a test set, and a validation set of the machine detection model according to the historical feature data;

[0016] The machine detection model is trained using the training set data, and after each training, the performance of the machine detection model is evaluated through the validation set and the parameters of the machine detection model are adjusted to obtain a target machine detection model;

[0017] The target machine detection model is evaluated through a test set, and after passing the evaluation, the target machine detection model is determined as a trained machine detection model.

[0018] Optionally, before generating the device detection information using the operation data information and the operation time, the method further includes:

[0019] Environmental data is obtained through sensors on the intelligent power supply distribution box, and device detection information is generated through the environmental data, the operating data information and the operating time, wherein the device detection information is used to characterize the operating conditions of the target high-speed device under different operating times and environments, the sensor includes a temperature sensor or a humidity sensor, and the environmental data includes the temperature or humidity of the target high-speed device.

[0020] Optionally, the performing corresponding processing on the target high-speed device according to the final detection result includes:

[0021] Determine whether the target high-speed device can be remotely repaired based on the final detection result, and remotely repair it if determined;

[0022] When it is determined that remote repair is not possible, the operation and maintenance personnel will be notified to repair it.

[0023] The second aspect of the present application provides a high-speed equipment detection device based on an intelligent power distribution box, which is applied to a smart cloud platform. The smart cloud platform pre-assigns a corresponding equipment strategy to each high-speed equipment. The device includes:

[0024] A data collection unit, used to collect operation data information of the target high-speed device through the intelligent power distribution box, and determine the device strategy of the target high-speed device through the smart cloud platform;

[0025] A first fault detection unit, configured to determine whether the target high-speed device has a fault by using the operation data information and the device policy, and when a fault is determined, determine the operation time of the target high-speed device;

[0026] A device detection information generating unit, configured to generate device detection information through the operation data information and the operation time, and send the device detection information to the smart cloud platform, wherein the device detection information includes the operation data information corresponding to each operation time;

[0027] The second fault detection unit is used for the smart cloud platform to perform secondary detection based on the device detection information to obtain the final detection result of the target high-speed device, and perform corresponding processing on the target high-speed device according to the final detection result.

[0028] Optionally, the second fault detection unit performing secondary detection according to the device detection information includes:

[0029] The device detection information is preprocessed and feature extracted to obtain target feature data of the target high-speed device, and the target feature data is input into a pre-trained machine detection model, and the final detection result of the target high-speed device is determined by the machine detection model.

[0030] Optionally, the training process of the machine detection model in the second fault detection unit includes:

[0031] Determine historical equipment detection information according to historical operation data information and operation time of the target high-speed equipment, and pre-process the characteristics of the historical equipment detection information to obtain historical characteristic data;

[0032] Determine a training set, a test set, and a validation set of the machine detection model according to the historical feature data;

[0033] The machine detection model is trained using the training set data, and after each training, the performance of the machine detection model is evaluated through the validation set and the parameters of the machine detection model are adjusted to obtain a target machine detection model;

[0034] The target machine detection model is evaluated through a test set, and after passing the evaluation, the target machine detection model is determined as a trained machine detection model.

[0035] Optionally, before the device detection information generating unit generates the device detection information by using the operation data information and the operation time, the apparatus further includes:

[0036] An environmental data determination unit is used to obtain environmental data through sensors on the intelligent power supply distribution box, and then generate equipment detection information through the environmental data, the operating data information and the operating time, wherein the equipment detection information is used to characterize the operating conditions of the target high-speed equipment under different operating times and environments, the sensor includes a temperature sensor or a humidity sensor, and the environmental data includes the temperature or humidity of the target high-speed equipment.

[0037] Optionally, the second fault detection unit performing corresponding processing on the target high-speed device according to the final detection result includes:

[0038] Determine whether the target high-speed device can be remotely repaired based on the final detection result, and remotely repair it if determined;

[0039] When it is determined that remote repair is not possible, the operation and maintenance personnel will be notified to repair it.

[0040] In the embodiment provided by the present application, the intelligent power distribution box first determines whether the equipment has failed according to the operation data information and equipment strategy of the high-speed equipment. When it is determined, the operation data information of the high-speed equipment and the operation time when the information is collected are sent to the smart cloud platform for a second detection; the smart cloud platform determines whether it has failed through the trained machine detection model, and performs corresponding processing after the determination, such as issuing an alarm, adjusting equipment parameters, or starting an emergency plan, etc. This realizes all-weather and all-round monitoring of high-speed tunnel equipment, and solves the problem of false fault alarms caused by the longer use time of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flow chart of the method provided in the embodiment of the present application;

[0042] Figure 2 A structural diagram of a device provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0045] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0046] It should be understood that although the terms first, second, third, etc. may be used in the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0047] The present application provides a high-speed equipment detection method based on an intelligent power supply distribution box to achieve all-weather, all-round monitoring of high-speed tunnel equipment and solve the problem of false fault alarms caused by high-speed equipment as the use time increases.

[0048] The technical solution of the present application is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0049] like Figure 1 As shown, it is a flow chart of a high-speed device detection method based on an intelligent power distribution box provided by the present application. The method is applied to a smart cloud platform. The smart cloud platform pre-assigns corresponding device policies to each high-speed device. The process may include the following steps:

[0050] Step S101, collecting operation data information of the target high-speed equipment through the intelligent power supply distribution box, and determining the equipment strategy of the target high-speed equipment through the smart cloud platform.

[0051] In this embodiment, the intelligent power distribution box can replace the original power supply and network supply equipment to provide power supply and network supply for more than ten kinds of front-end power-consuming equipment such as hand-held alarms, cameras, millimeter-wave radars, Ethernet switches, broadcasts, emergency phones, etc. in highway tunnels to realize their communication functions. The intelligent power distribution box includes an Internet of Things network edge computing gateway, which is connected to each high-speed device through the gateway and obtains the operating data information of each high-speed device in real time, such as the voltage, current, power consumption, power consumption, network connection status, network rate, and uplink device status of each input and output circuit. For different high-speed devices, different parameters can be set as their operating data information.

[0052] In this embodiment, the device strategies of various high-speed devices are pre-set on the smart cloud platform, such as timed cooling, timed standby, etc. The smart power distribution box determines the device strategies of various high-speed devices through the smart cloud platform, so that corresponding fault judgment can be made according to different device strategies when collecting data.

[0053] Step S102, determining whether the target high-speed device has a fault through the operation data information and the device policy, and when a fault is determined, determining the operation time of the target high-speed device.

[0054] For example, for high-speed equipment whose device strategy is timed standby, when it enters the standby state, the operating data information of the equipment will inevitably be greatly reduced. At this time, the intelligent power supply distribution box needs to make adjustments according to the time when the high-speed equipment enters standby when making fault judgments. For example, if a high-speed equipment is on standby from 00:00 to 05:00 every day, the operating data information collected by the intelligent power supply distribution box during this time period should be the operating data information during standby, otherwise it can be determined that a fault has occurred. Similarly, if the operating data information of the high-speed equipment is collected during standby in other time periods, it can also be determined that a fault has occurred.

[0055] For the running time of high-speed equipment, the intelligent power distribution box can record the startup time of each high-speed equipment each time it is started, and compare the current time with the startup time when it is determined that a fault has occurred, so as to determine the current running time. The running time can also be recorded by each high-speed equipment, and the intelligent power distribution box obtains the running time from the high-speed equipment when it determines that a fault has occurred. The running time of each high-speed equipment can also be recorded through the smart cloud platform. There are many specific methods for determining the running time of high-speed equipment, and this application does not limit this.

[0056] Step S103, generating device detection information through the operation data information and the operation time, and sending the device detection information to the smart cloud platform, wherein the device detection information includes the operation data information corresponding to each operation time.

[0057] In this embodiment, after the intelligent power supply distribution box determines that a fault has occurred, it can collect multiple operating data information periodically or in real time, and encapsulate each operating time and the corresponding operating data information into equipment detection information and send it to the smart cloud platform, so that the smart cloud platform can determine whether the high-speed equipment has a fault based on the operating data information at a certain operating time or a certain time interval, such as the changing trend of the operating data information for 1 hour.

[0058] In another embodiment, before generating the device detection information using the operation data information and the operation time, the method further includes:

[0059] Environmental data is obtained through sensors on the intelligent power supply distribution box, and device detection information is generated through the environmental data, the operating data information and the operating time, wherein the device detection information is used to characterize the operating conditions of the target high-speed device under different operating times and environments, the sensor includes a temperature sensor or a humidity sensor, and the environmental data includes the temperature or humidity of the target high-speed device.

[0060] In this embodiment, the intelligent power distribution box can also monitor environmental data, and add the environmental data as a basis for fault diagnosis to the equipment detection information, so that the secondary detection of the smart cloud platform can reduce false alarms caused by environmental factors, thereby making the detection more accurate.

[0061] In step S104, the smart cloud platform performs secondary detection based on the device detection information to obtain a final detection result of the target high-speed device, and performs corresponding processing on the target high-speed device based on the final detection result.

[0062] In this embodiment, the fault diagnosis and repair function of the intelligent power supply distribution box will change the traditional high-speed tunnel maintenance work. For basic faults such as abnormal tripping, abnormal voltage, communication equipment crash, front-end equipment crash, etc., the intelligent power supply distribution box can perform remote one-click repairs. Therefore, when the secondary detection of the smart cloud platform also determines that the high-speed equipment has a fault, it can first determine whether the cause of the fault can be repaired by the intelligent power supply distribution box. When it is determined, it will be repaired. When it is determined that it cannot be repaired, it will be reported to the back-end staff.

[0063] In another embodiment, performing secondary detection according to the device detection information includes:

[0064] The device detection information is preprocessed and feature extracted to obtain target feature data of the target high-speed device, and the target feature data is input into a pre-trained machine detection model, and the final detection result of the target high-speed device is determined by the machine detection model.

[0065] In this embodiment, the machine detection model can be used to record the characteristic data of each high-speed device under different operating times and different environmental factors. The characteristic data includes both characteristic data of various failures and characteristic data of non-failures. By inputting the target characteristic data of the high-speed device into the machine detection model, it can be determined whether the current failure of the high-speed device is a false alarm caused by environmental factors, a false alarm caused by operating time, or a failure has occurred.

[0066] The training process of the above machine detection model includes:

[0067] Determine historical equipment detection information according to historical operation data information and operation time of the target high-speed equipment, and pre-process the characteristics of the historical equipment detection information to obtain historical characteristic data;

[0068] Determine a training set, a test set, and a validation set of the machine detection model according to the historical feature data;

[0069] The machine detection model is trained using the training set data, and after each training, the performance of the machine detection model is evaluated through the validation set and the parameters of the machine detection model are adjusted, such as the learning rate, regularization coefficient, number of network layers and number of neurons, to obtain a target machine detection model;

[0070] The target machine detection model is evaluated through a test set, and after passing the evaluation, the target machine detection model is determined as a trained machine detection model.

[0071] In this embodiment, different abnormal data can be preprocessed by different methods. For example, missing values ​​can be processed by deletion, filling or prediction; abnormal values ​​can be identified by statistical methods or based on domain knowledge; and duplicate values ​​can be deleted. After the processing is completed, feature extraction is performed to generate historical feature data.

[0072] After feature extraction, the historical feature data is split into training set, validation set and test set. Common split ratios are 70% training set, 15% validation set, 15% test set, or 80% training set, 10% validation set, 10% test set.

[0073] So far, completed Figure 1 The process shown.

[0074] In the embodiment of the present application, the intelligent power distribution box first determines whether the equipment has failed based on the operating data information and equipment strategy of the high-speed equipment. When it is determined, the operating data information of the high-speed equipment and the operating time when the information is collected are sent to the smart cloud platform for a second detection; the smart cloud platform determines whether it has failed through the trained machine detection model, and performs corresponding processing after determination, such as issuing an alarm, adjusting equipment parameters, or starting an emergency plan, etc. This realizes all-weather and all-round monitoring of high-speed tunnel equipment, and solves the problem of false fault alarms caused by the longer use time of the equipment.

[0075] like Figure 2 As shown, the present application also provides a high-speed equipment detection device based on an intelligent power distribution box, which is applied to a smart cloud platform. The smart cloud platform pre-assigns corresponding equipment strategies to each high-speed equipment. The device includes:

[0076] The data collection unit 201 is used to collect the operation data information of the target high-speed device through the intelligent power distribution box, and determine the device strategy of the target high-speed device through the smart cloud platform;

[0077] A first fault detection unit 202, configured to determine whether the target high-speed device has a fault by using the operation data information and the device policy, and when a fault is determined, determine the operation time of the target high-speed device;

[0078] The device detection information generating unit 203 is used to generate device detection information according to the operation data information and the operation time, and send the device detection information to the smart cloud platform, wherein the device detection information includes the operation data information corresponding to each operation time;

[0079] The second fault detection unit 204 is used for the smart cloud platform to perform secondary detection according to the device detection information to obtain the final detection result of the target high-speed device, and perform corresponding processing on the target high-speed device according to the final detection result.

[0080] In another embodiment, the second fault detection unit performing secondary detection according to the device detection information includes:

[0081] The device detection information is preprocessed and feature extracted to obtain target feature data of the target high-speed device, and the target feature data is input into a pre-trained machine detection model, and the final detection result of the target high-speed device is determined by the machine detection model.

[0082] In another embodiment, the training process of the machine detection model in the second fault detection unit includes:

[0083] Determine historical equipment detection information according to historical operation data information and operation time of the target high-speed equipment, and pre-process the characteristics of the historical equipment detection information to obtain historical characteristic data;

[0084] Determine a training set, a test set, and a validation set of the machine detection model according to the historical feature data;

[0085] The machine detection model is trained using the training set data, and after each training, the performance of the machine detection model is evaluated through the validation set and the parameters of the machine detection model are adjusted to obtain a target machine detection model;

[0086] The target machine detection model is evaluated through a test set, and after passing the evaluation, the target machine detection model is determined as a trained machine detection model.

[0087] In another embodiment, before the device detection information generating unit generates the device detection information by using the operation data information and the operation time, the apparatus further includes:

[0088] The environmental data determination unit 205 is used to obtain environmental data through sensors on the intelligent power supply distribution box, and then generate equipment detection information through the environmental data, the operating data information and the operating time, wherein the equipment detection information is used to characterize the operating conditions of the target high-speed equipment under different operating times and environments, the sensor includes a temperature sensor or a humidity sensor, and the environmental data includes the temperature or humidity of the target high-speed equipment.

[0089] In another embodiment, it is characterized in that the second fault detection unit performs corresponding processing on the target high-speed device according to the final detection result, including:

[0090] Determine whether the target high-speed device can be remotely repaired based on the final detection result, and remotely repair it if determined;

[0091] When it is determined that remote repair is not possible, the operation and maintenance personnel will be notified to repair it.

[0092] The above embodiment of the present invention provides a high-speed equipment detection method based on an intelligent power supply distribution box, and based on this method, provides a high-speed equipment detection device based on an intelligent power supply distribution box. Through the above method and device, all-weather and all-round monitoring of high-speed tunnel equipment can be achieved, and the false alarm of faults caused by the prolonged use of equipment can be solved.

[0093] This embodiment also discloses a computer device, such as Figure 3As shown, the computer device includes a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement any of the above-mentioned high-speed equipment detection methods based on the intelligent power supply distribution box.

[0094] In addition, in the above-mentioned example implementation of the high-speed equipment detection device based on the intelligent power supply distribution box, the logical division of each program module is only an example. In actual application, the above-mentioned functions can be assigned to different program modules as needed, for example, for the convenience of corresponding hardware configuration requirements or software implementation. That is, the internal structure of the high-speed equipment detection device based on the intelligent power supply distribution box is divided into different program modules to complete all or part of the functions described above.

[0095] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A high-speed equipment detection method based on an intelligent power supply distribution box, characterized in that: Applied to a smart cloud platform, the smart cloud platform pre-assigns corresponding device policies to each high-speed device, and the method includes: Collecting the operation data information of the target high-speed equipment through the intelligent power distribution box, and determining the equipment strategy of the target high-speed equipment through the smart cloud platform; Determine whether the target high-speed device fails by using the operation data information and the device policy, and when a failure is determined, determine the operation time of the target high-speed device; Generate device detection information through the operation data information and the operation time, and send the device detection information to the smart cloud platform, wherein the device detection information includes the operation data information corresponding to each operation time; The smart cloud platform performs secondary detection based on the device detection information to obtain the final detection result of the target high-speed device, and performs corresponding processing on the target high-speed device based on the final detection result.

2. The method according to claim 1, characterized in that The performing secondary detection according to the device detection information includes: The device detection information is preprocessed and feature extracted to obtain target feature data of the target high-speed device, and the target feature data is input into a pre-trained machine detection model, and the final detection result of the target high-speed device is determined by the machine detection model.

3. The method according to claim 2, characterized in that The training process of the machine detection model includes: Determine historical equipment detection information according to the historical operation data information and operation time of the target high-speed equipment, and pre-process the characteristics of the historical equipment detection information to obtain historical characteristic data; Determine a training set, a test set, and a validation set of the machine detection model according to the historical feature data; The machine detection model is trained using the training set data, and after each training, the performance of the machine detection model is evaluated through the validation set and the parameters of the machine detection model are adjusted to obtain a target machine detection model; The target machine detection model is evaluated through a test set, and after passing the evaluation, the target machine detection model is determined as a trained machine detection model.

4. The method according to claim 1, characterized in that: Before generating the device detection information by using the operation data information and the operation time, the method further includes: Environmental data is obtained through sensors on the intelligent power supply distribution box, and device detection information is generated through the environmental data, the operating data information and the operating time, wherein the device detection information is used to characterize the operating conditions of the target high-speed device under different operating times and environments, the sensor includes a temperature sensor or a humidity sensor, and the environmental data includes the temperature or humidity of the target high-speed device.

5. The method according to claim 1, characterized in that: The performing corresponding processing on the target high-speed device according to the final detection result includes: Determine whether the target high-speed device can be remotely repaired based on the final detection result, and remotely repair it if determined; When it is determined that remote repair is not possible, the operation and maintenance personnel will be notified to repair it.

6. A high-speed equipment detection device based on an intelligent power supply distribution box, characterized in that: Applied to a smart cloud platform, the smart cloud platform pre-assigns corresponding device policies to each high-speed device, and the device includes: A data collection unit, used to collect operation data information of the target high-speed device through the intelligent power distribution box, and determine the device strategy of the target high-speed device through the smart cloud platform; A first fault detection unit, configured to determine whether the target high-speed device has a fault by using the operation data information and the device policy, and when a fault is determined, determine the operation time of the target high-speed device; A device detection information generating unit, configured to generate device detection information through the operation data information and the operation time, and send the device detection information to the smart cloud platform, wherein the device detection information includes the operation data information corresponding to each operation time; The second fault detection unit is used for the smart cloud platform to perform secondary detection based on the device detection information to obtain the final detection result of the target high-speed device, and perform corresponding processing on the target high-speed device according to the final detection result.

7. The device according to claim 6, characterized in that The second fault detection unit performing secondary detection according to the device detection information includes: The device detection information is preprocessed and feature extracted to obtain target feature data of the target high-speed device, and the target feature data is input into a pre-trained machine detection model, and the final detection result of the target high-speed device is determined by the machine detection model.

8. The device according to claim 7, characterized in that The training process of the machine detection model in the second fault detection unit includes: Determine historical equipment detection information according to the historical operation data information and operation time of the target high-speed equipment, and pre-process the characteristics of the historical equipment detection information to obtain historical characteristic data; Determine a training set, a test set, and a validation set of the machine detection model according to the historical feature data; The machine detection model is trained using the training set data, and after each training, the performance of the machine detection model is evaluated through the validation set and the parameters of the machine detection model are adjusted to obtain a target machine detection model; The target machine detection model is evaluated through a test set, and after passing the evaluation, the target machine detection model is determined as a trained machine detection model.

9. The device according to claim 6, characterized in that Before the device detection information generating unit generates the device detection information by using the operation data information and the operation time, the apparatus further includes: An environmental data determination unit is used to obtain environmental data through sensors on the intelligent power supply distribution box, and then generate equipment detection information through the environmental data, the operating data information and the operating time, wherein the equipment detection information is used to characterize the operating conditions of the target high-speed equipment under different operating times and environments, the sensor includes a temperature sensor or a humidity sensor, and the environmental data includes the temperature or humidity of the target high-speed equipment.

10. The device according to claim 6, characterized in that The second fault detection unit performs corresponding processing on the target high-speed device according to the final detection result, including: Determine whether the target high-speed device can be remotely repaired based on the final detection result, and remotely repair it if determined; When it is determined that remote repair is not possible, the operation and maintenance personnel will be notified to repair it.

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