Equipment health evaluation method and device based on hydraulic power plant startup and shutdown process analysis

Abstract

The invention provides an equipment health evaluation method and device based on hydraulic power plant startup and shutdown process analysis, and relates to the technical field of equipment detection.The method comprises the steps that equipment in a hydraulic power plant unit is controlled to execute startup and shutdown tasks, and execution data of all subtasks in the startup and shutdown tasks are obtained; performing independent operation on each sub-task and determining a health degree reference value corresponding to each sub-task; determining the health degree of each sub-task in the startup and shutdown task according to each health degree reference value; and determining an abnormal device according to the health degree. By controlling the equipment in the hydraulic power plant unit to execute the startup and shutdown tasks, acquiring the execution data of each subtask and determining the health degree, the operation state of the equipment can be monitored more accurately. The real-time monitoring is helpful for finding potential problems in time, so that the operation efficiency and safety of the equipment are improved.

Description

Technical Field

[0001] The present application relates to the technical field of equipment detection, and in particular to an equipment health evaluation method and device based on analysis of the start-up and shutdown processes of a hydropower plant. Background Art

[0002] The start and stop of the hydropower plant units is the coordinated action of the various components of the generator under the control of the monitoring automatic program to achieve the parallel or disconnection of the units. The entire process involves the most complete and extensive automation components, machinery, and primary equipment. Through the analysis of this process, equipment abnormalities can be discovered in time, and monitoring and maintenance guidance can be provided to operators and maintenance personnel. If this process is analyzed manually, the results will be inaccurate due to the technical level and working status of the analysts, and it will also take a lot of time. Summary of the invention

[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first purpose of this application is to propose an equipment health assessment method based on the analysis of the start-up and shutdown processes of a hydropower plant.

[0005] The second object of the present application is to provide a device.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth objective of the present application is to provide a computer-readable storage medium.

[0008] A fifth object of the present application is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes an equipment health evaluation method based on the analysis of the start-up and shutdown process of a hydropower plant, comprising:

[0010] Controlling the equipment in the hydropower plant unit to execute the start-up and shutdown tasks, and obtaining the execution data of each subtask in the start-up and shutdown tasks;

[0011] Perform separate operations on each subtask and determine the health reference value corresponding to each subtask;

[0012] Determine the health of each subtask in the startup and shutdown task according to each health reference value;

[0013] An abnormal device is determined according to the health level.

[0014] Optionally, the obtaining of execution data of each subtask in the startup and shutdown task includes:

[0015] Determine the corresponding subtask according to the action device in the startup and shutdown task;

[0016] Obtain the start event, end event, start time point, and end time point of each subtask;

[0017] The travel time and the bumpiness of the subtask are determined according to the start event point and the end time point, wherein the execution data includes: a start event, an end event, a start time point, an end time point, a travel time, and a bumpiness.

[0018] Optionally, determining the travel time of the subtask and the bumpiness of the subtask according to the start event point and the end time point includes:

[0019] Obtaining the time interval between the start time point and the end time point corresponding to the last end event as the travel time;

[0020] The total number of the end events is used as the bumpiness of the subtask.

[0021] Optionally, the performing individual operations on each subtask and determining a health reference value corresponding to each subtask includes:

[0022] Perform multiple single-step operations on each subtask in the start-stop task to obtain the travel time and bumpiness corresponding to the subtask;

[0023] The average value of the travel time is used as the travel time health reference value, and the bumpiness with the largest value is used as the bumpiness health reference value. The health reference value includes the travel time health reference value and the bumpiness health reference value.

[0024] Optionally, determining the health of each subtask in the startup and shutdown task according to each health reference value includes:

[0025] Dividing the travel time of each subtask in the start-stop task by the travel time health reference value to obtain time health;

[0026] The jerking degree of each subtask in the startup and shutdown task is subtracted from the jerking degree health reference value to obtain the jerking health, wherein the health of the subtask includes the time health and the jerking health.

[0027] Optionally, determining an abnormal device according to the health level includes:

[0028] Determine the subtask whose time health is greater than a preset first threshold, and treat the device corresponding to the subtask as an abnormal device; or,

[0029] Determine the subtask whose bump health is greater than a preset second threshold, and define the device corresponding to the subtask as an abnormal device.

[0030] To achieve the above-mentioned purpose, the second embodiment of the present application proposes an equipment health evaluation device based on the analysis of the start-up and shutdown process of a hydropower plant, comprising:

[0031] A data acquisition module is used to control the equipment in the hydropower plant unit to execute the start-up and shutdown tasks, and to obtain the execution data of each subtask in the start-up and shutdown tasks;

[0032] A reference value acquisition module is used to perform individual operations on each subtask and determine the health reference value corresponding to each subtask;

[0033] A health calculation module, used to determine the health of each subtask in the startup and shutdown task according to each health reference value;

[0034] An abnormality detection module is used to determine abnormal devices according to the health status.

[0035] To achieve the above-mentioned purpose, the third aspect of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0036] The memory stores computer-executable instructions;

[0037] The processor executes the computer-executable instructions stored in the memory to implement the method as described in any one of the first aspects.

[0038] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer-readable storage medium is stored computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the method as described in any one of the first aspects.

[0039] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, which implements any method in the first aspect when executed by a processor.

[0040] The equipment health evaluation method, device, electronic device and storage medium provided in this application based on the analysis of the start-up and shutdown process of a hydropower plant can achieve the following beneficial effects:

[0041] Improve equipment operation efficiency and safety: By controlling the equipment in the hydropower plant units to perform start-up and shutdown tasks and obtaining the execution data of each subtask, the operating status of the equipment can be monitored more accurately. This real-time monitoring helps to detect potential problems in a timely manner, thereby improving the operating efficiency and safety of the equipment.

[0042] Enhanced fault diagnosis accuracy: By operating each subtask individually and determining the health reference value, a health benchmark can be established for each subtask. This helps to more accurately identify abnormal situations in subsequent operations by comparing actual operation data with the health reference value, thereby improving the accuracy of fault diagnosis.

[0043] Enables preventive maintenance: By determining the health of each subtask, the health of the equipment can be assessed in real time. This assessment can help the maintenance team predict potential failures and performance degradation, thereby enabling preventive maintenance and reducing the risk of unexpected downtime.

[0044] Optimize resource allocation and scheduling: After determining abnormal devices based on their health, resources and attention can be prioritized to those devices with low health. This helps optimize the allocation of maintenance resources and improve the efficiency of maintenance work.

[0045] Extend equipment life: By continuously monitoring and maintaining the health of equipment, wear and tear and failure of equipment can be effectively reduced, thereby extending the service life of the equipment.

[0046] Improve economic benefits: Reducing unexpected downtime and failures can significantly improve the economic benefits of hydropower plants. Through preventive maintenance and timely troubleshooting, maintenance costs and downtime losses can be reduced, thereby improving economic benefits.

[0047] Improve the level of automation: The application of automatic control technology can reduce manual intervention and improve the level of automation of hydropower stations. This can not only improve the safety of operation, but also reduce labor intensity and improve labor efficiency.

[0048] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0050] Figure 1 A flow chart of a method for evaluating equipment health based on analysis of the start-up and shutdown process of a hydropower plant provided in an embodiment of the present application;

[0051] Figure 2 A schematic diagram of the structure of an equipment health evaluation device based on the analysis of the start-up and shutdown processes of a hydropower plant provided in an embodiment of the present application. DETAILED DESCRIPTION

[0052] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0053] The start and shutdown of the hydropower plant units is the coordinated action of the various components of the generator under the control of the monitoring automatic program to achieve the parallel or decoupling of the units. The entire process involves the most complete and extensive automation components, machinery, and primary equipment. Through the analysis of this process, equipment abnormalities can be discovered in a timely manner, and monitoring and maintenance guidance can be provided to operating personnel and maintenance personnel. If this process is analyzed manually, the results will be inaccurate due to the technical level and working status of the analysts, and a lot of time will be consumed. This paper proposes an equipment health evaluation method based on the analysis of the start-up and shutdown process of hydropower plants. By computer means, a process analysis model based on equipment is established, key quantities are extracted, and the health level of the equipment is evaluated.

[0054] At present, the analysis of the startup and shutdown process is all done by manual statistical analysis. Due to the uneven level of personnel, working conditions, and the large amount of signals generated in the process, the analysts are often overwhelmed by the information, resulting in inaccurate results. At the same time, this analysis is only a single one, and cannot analyze the action characteristics of a certain equipment in multiple startup and shutdown processes, and cannot provide cracking warnings. Only when the equipment really has problems, resulting in the failure of startup and shutdown, and producing consequences, can the health level of the equipment be reflected.

[0055] The present invention proposes an equipment health evaluation method based on the analysis of the start-up and shutdown process of a hydropower plant. A process analysis model based on equipment is established by computer means, key quantities are extracted, and the health level of the equipment is evaluated. Professional and technical personnel analyze the start-up and shutdown process, decompose the process into several equipment execution tasks, establish an equipment task model, extract the execution time, task events, and process key quantities of these equipment execution tasks, and use the variables of the same equipment extracted multiple times to analyze the equipment cracking, and compare it with the reference quantity at the time of equipment health, so as to judge the health level of each device of the generator. Except for the task model established by professionals, the rest of the process is executed by the computer system, and the analysis results will not be distorted due to the user's ability, working status, etc.

[0056] The present application embodiment provides an equipment health evaluation method based on the analysis of the start-up and shutdown process of a hydropower plant. Figure 1 A flow chart of a method for evaluating equipment health based on the analysis of the start-up and shutdown process of a hydropower plant provided in an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0057] Step 101, controlling the equipment in the hydropower plant unit to execute the start-up and shutdown tasks, and obtaining the execution data of each subtask in the start-up and shutdown tasks;

[0058] Step 102, perform individual operations on each subtask and determine the health reference value corresponding to each subtask;

[0059] Step 103, determining the health of each subtask in the startup and shutdown task according to each health reference value;

[0060] Step 104: determine abnormal devices according to the health status.

[0061] Optionally, the step 101 of obtaining the execution data of each subtask in the startup and shutdown task includes:

[0062] Determine the corresponding subtask according to the action device in the startup and shutdown task;

[0063] Obtain the start event, end event, start time point, and end time point of each subtask;

[0064] The travel time and the bumpiness of the subtask are determined according to the start event point and the end time point, wherein the execution data includes: a start event, an end event, a start time point, an end time point, a travel time, and a bumpiness.

[0065] Optionally, determining the travel time of the subtask and the bumpiness of the subtask according to the start event point and the end time point includes:

[0066] Obtaining the time interval between the start time point and the end time point corresponding to the last end event as the travel time;

[0067] The total number of the end events is used as the bumpiness of the subtask.

[0068] In this embodiment, each subtask in the startup and shutdown task is {p1, p2, p3....p n}, where p is the start-stop task, p n is a subtask included in p, and the subtask corresponds to the action device one by one;

[0069] The subtasks include (s n， r n ), where s n For p n The start event corresponds to the start time t n1 ; r n For p n The end event of n2 .

[0070] During the execution of each subtask in the startup and shutdown task, there may be bumps. Specifically, a subtask contains multiple end events. The bumps may be caused by the following reasons:

[0071] Equipment failure or aging: As equipment ages, its performance may gradually decline, resulting in multiple unexpected shutdowns or restarts when performing subtasks, increasing the number of end events. For example, the failure of a generator set may cause the entire hydropower plant to be unable to effectively provide power. In this case, if the fault is not handled in time, it may cause the unit to shut down unexpectedly or even burn out the bearing.

[0072] Improper operation: If the operator performs improper operation when performing startup and shutdown tasks, the equipment may not operate normally, thereby triggering multiple termination events. For example, if the operator does not operate correctly according to the regulations, the equipment may fail to start or abnormalities may occur during operation.

[0073] System design defects: If there are defects in the control system design of the hydropower plant, it may lead to the inability to effectively monitor and control each subtask during the startup and shutdown process, thereby increasing the turbulence. For example, the early hydropower station monitoring system may be based on conventional control devices and supplemented by computers. The disadvantage of this control method is that the function and performance are relatively low, which may limit the improvement of the automation level of the entire hydropower station.

[0074] If multiple r are generated during the subtask n , then the time is recorded as t n3 ,t n4 ...t nk , subtask p n The travel time is t n , t n =t nk -t n1 ; k is subtask p n The bump is denoted as k n .

[0075] Optionally, the step 102 performs separate operations on each subtask and determines a health reference value corresponding to each subtask, including:

[0076] Perform multiple single-step operations on each subtask in the start-stop task to obtain the travel time and bumpiness corresponding to the subtask;

[0077] The average value of the travel time is used as the travel time health reference value, and the bumpiness with the largest value is used as the bumpiness health reference value. The health reference value includes the travel time health reference value and the bumpiness health reference value.

[0078] In this embodiment, multiple single-step operations are performed on the n subtasks in the process of starting and stopping task P. The cth operation is performed with s n For p n Start event, time is T c n1 ; r n For p n The end event, time is recorded as T c n2， If multiple r are generated during the process n , the time is recorded as T c n3 ,T c n4 ...T c nk , p n The travel time health reference value of the subtask is denoted as T c n , T c n =T c nk -T c n1 . Subtask p n The travel time health reference value T n Take the average of c times:

[0079]

[0080] Subtask p n The reference value of the bumpiness health degree Kn takes the maximum value of c times:

[0081] Kn=max(k 1 , k 2 , k 3 , k 4 .....k c )

[0082] Optionally, the step 103 determines the health of each subtask in the startup and shutdown task according to each health reference value, including:

[0083] Dividing the travel time of each subtask in the start-stop task by the travel time health reference value to obtain time health;

[0084] The jerking degree of each subtask in the startup and shutdown task is subtracted from the jerking degree health reference value to obtain the jerking health, wherein the health of the subtask includes the time health and the jerking health.

[0085] In this embodiment, the subtask pn The time health of the corresponding device n is recorded as α, and the bump health is recorded as β, and its value is calculated as follows:

[0086]

[0087] β n =k n -K n

[0088] α n The larger the value is, the longer it takes for the device n to reach its destination, indicating that the device may be stuck or blocked. n The larger the value, the more frequent the critical action of the device n, indicating that there is a problem with the sensor mechanism or the setting value is unreasonable. However, it may also be caused by changes in the operating conditions of the equipment. When the health degree exceeds the threshold, the corresponding equipment will be alarmed to remind the operation and maintenance personnel that there may be problems with the relevant equipment.

[0089] Optionally, the step 104 determines abnormal devices according to the health level, including:

[0090] Determine the subtask whose time health is greater than a preset first threshold, and treat the device corresponding to the subtask as an abnormal device; or,

[0091] Determine the subtask whose bump health is greater than a preset second threshold, and define the device corresponding to the subtask as an abnormal device.

[0092] In order to implement the above-mentioned embodiment, the present application also proposes an equipment health evaluation device based on the analysis of the start-up and shutdown process of a hydropower plant. Figure 2 A schematic diagram of the structure of an equipment health evaluation device based on the analysis of the start-up and shutdown process of a hydropower plant provided in an embodiment of the present application. Figure 2 As shown, the device comprises:

[0093] The data acquisition module 210 is used to control the equipment in the hydropower plant unit to execute the start-up and shutdown tasks, and to obtain the execution data of each subtask in the start-up and shutdown tasks;

[0094] A reference value acquisition module 220 is used to perform a separate operation on each subtask and determine a health reference value corresponding to each subtask;

[0095] A health calculation module 230, used to determine the health of each subtask in the startup and shutdown task according to each health reference value;

[0096] The abnormality detection module 240 is used to determine abnormal devices according to the health status.

[0097] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory connected to the processor in communication; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided in the above embodiments.

[0098] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0099] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0100] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0101] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0102] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0103] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0104] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0105] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0106] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0107] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0108] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0110] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for evaluating equipment health based on the analysis of the start-up and shutdown process of a hydropower plant, characterized in that: The following steps are involved: Controlling the equipment in the hydropower plant unit to execute the start-up and shutdown tasks, and obtaining the execution data of each subtask in the start-up and shutdown tasks; Perform separate operations on each subtask and determine the health reference value corresponding to each subtask; Determine the health of each subtask in the startup and shutdown task according to each health reference value; An abnormal device is determined according to the health level.

2. The method according to claim 1, characterized in that The step of obtaining the execution data of each subtask in the startup and shutdown task includes: Determine the corresponding subtask according to the action device in the startup and shutdown task; Obtain the start event, end event, start time point, and end time point of each subtask; The travel time and the bumpiness of the subtask are determined according to the start event point and the end time point, wherein the execution data includes: a start event, an end event, a start time point, an end time point, a travel time, and a bumpiness.

3. The method according to claim 2, characterized in that The determining the travel time and the bumpiness of the subtask according to the start event point and the end time point includes: Obtaining the time interval between the start time point and the end time point corresponding to the last end event as the travel time; The total number of the end events is used as the bumpiness of the subtask.

4. The method according to claim 3, characterized in that The performing individual operations on each subtask and determining the health reference value corresponding to each subtask includes: Perform multiple single-step operations on each subtask in the start-stop task to obtain the travel time and bumpiness corresponding to the subtask; The average value of the travel time is used as the travel time health reference value, and the bumpiness with the largest value is used as the bumpiness health reference value. The health reference value includes the travel time health reference value and the bumpiness health reference value.

5. The method according to claim 4, characterized in that The determining the health of each subtask in the startup and shutdown task according to each health reference value includes: Dividing the travel time of each subtask in the start-stop task by the travel time health reference value to obtain time health; The jerking degree of each subtask in the startup and shutdown task is subtracted from the jerking degree health reference value to obtain the jerking health, wherein the health of the subtask includes the time health and the jerking health.

6. The method according to claim 5, characterized in that The determining of abnormal devices according to the health level includes: Determine the subtask whose time health is greater than a preset first threshold, and treat the device corresponding to the subtask as an abnormal device; or, Determine the subtask whose bump health is greater than a preset second threshold, and define the device corresponding to the subtask as an abnormal device.

7. An equipment health evaluation device based on the analysis of the start-up and shutdown process of a hydropower plant, characterized in that: include: A data acquisition module is used to control the equipment in the hydropower plant unit to execute the start-up and shutdown tasks, and to obtain the execution data of each subtask in the start-up and shutdown tasks; A reference value acquisition module is used to perform individual operations on each subtask and determine the health reference value corresponding to each subtask; A health calculation module, used to determine the health of each subtask in the startup and shutdown task according to each health reference value; An abnormality detection module is used to determine abnormal devices according to the health status.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

Images