Electrical equipment operation data management method and system

Abstract

The invention discloses an electrical equipment operation data management method and system, and the method comprises the steps: defining all operation data in a sliding window as risk operation data, intercepting a certain operation data sequence according to the risk operation data through employing a preset interception rule, and storing the intercepted operation data in a sliding window; obtaining at least one operation data sub-sequence corresponding to a certain operation data sequence, respectively selecting target operation data from the at least one operation data sub-sequence, and obtaining a target position of the corresponding operation data sub-sequence where the target operation data is located; and associating each piece of target operation data with the at least one operation data sub-sequence to obtain a first association relationship, obtaining an equipment position of the electrical equipment corresponding to the target operation data, and associating the at least two operation data sub-sequences according to the equipment position and the target position to obtain a second association relationship. And the workload that the data identification model needs to identify the operation data of each piece of electrical equipment at each moment is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of power equipment data management, and in particular, relates to an electric equipment operation data management method and system. Background Art

[0002] During the operation of electrical equipment, a large amount of operation data is generated, such as voltage, current, power, speed, equipment temperature, number of operation executions, etc. Therefore, in order to ensure the normal operation of the equipment, the operation data of the electrical equipment will be monitored. At this time, the authenticity and stability of the operation data are important factors affecting the monitoring results of the electrical equipment.

[0003] In the prior art, the operating data of electrical equipment at each moment needs to be uploaded to the system and input into the model within the system for identification. If data identification is performed on multiple electrical equipment in an area at the same time, data redundancy will result, which will affect the management efficiency of the operating data and may even cause the system to crash. Summary of the invention

[0004] The present invention provides an electrical equipment operation data management method and system, which are used to solve the technical problem that when multiple electrical equipment in an area are simultaneously identified, data redundancy will be caused, which will affect the management efficiency of the operation data.

[0005] In a first aspect, the present invention provides a method for managing operation data of an electrical device, comprising:

[0006] Acquire operation data of each electrical device within a preset time period, and sort each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device;

[0007] Aligning the at least one operation data sequence in parallel, sliding on the at least one operation data sequence according to a preset sliding window, and determining whether a data difference between any two operation data in the sliding window is less than a preset threshold value during each sliding;

[0008] If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and according to the risk operation data, a certain operation data sequence is intercepted by using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence;

[0009] Selecting target operating data respectively from the at least one operating data subsequence, and obtaining a target position of the target operating data corresponding to the operating data subsequence;

[0010] Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, acquiring a device position of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices;

[0011] Each target operating data is input into a preset data recognition model, and the data recognition model outputs a data recognition result corresponding to the each target operating data, and the at least one operating data subsequence is recognized based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical equipment.

[0012] In a second aspect, the present invention provides an electrical equipment operation data management system, comprising:

[0013] An acquisition module is configured to acquire operation data of each electrical device within a preset time period, and sort each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device;

[0014] a judgment module configured to align the at least one operation data sequence in parallel, and slide on the at least one operation data sequence according to a preset sliding window, and judge whether the data difference between any two operation data in the sliding window is less than a preset threshold value during each sliding;

[0015] The interception module is configured to define each operation data in the sliding window as risk operation data if it is less than a preset threshold, and intercept a certain operation data sequence using a preset interception rule according to the risk operation data to obtain at least one operation data subsequence corresponding to the certain operation data sequence;

[0016] a selection module configured to select target operation data from the at least one operation data subsequence, and obtain a target position of the target operation data corresponding to the operation data subsequence;

[0017] an associating module, configured to associate each target operating data with the at least one operating data subsequence to obtain a first association relationship, and obtain a device position of the electrical device corresponding to the target operating data, and associate at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices;

[0018] The output module is configured to input each target operating data into a preset data recognition model, and the data recognition model outputs a data recognition result corresponding to the each target operating data, and recognizes the at least one operating data subsequence according to the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical device.

[0019] According to a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the electrical equipment operation data management method of any embodiment of the present invention.

[0020] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the steps of the method for managing operation data of electrical equipment of any embodiment of the present invention.

[0021] The electrical equipment operation data management method and system of the present application define each operation data in the sliding window as risk operation data, and according to the risk operation data, a certain operation data sequence is intercepted by using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence, and target operation data is respectively selected in at least one operation data subsequence, and the target position of the target operation data corresponding to the operation data subsequence is obtained, each target operation data is associated with at least one operation data subsequence to obtain a first association relationship, and the device position of the electrical equipment corresponding to the target operation data is obtained, and at least two operation data subsequences are associated according to the device position and the target position to obtain a second association relationship. The first association relationship and the second association relationship can reduce the amount of data recognition, thereby reducing the workload of the data recognition model required to recognize the operation data of each electrical equipment at each moment. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 A flowchart of an electrical equipment operation data management method provided by an embodiment of the present invention;

[0024] Figure 2A structural block diagram of an electrical equipment operation data management system provided by an embodiment of the present invention;

[0025] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] See also Figure 1 , which shows a flow chart of an electrical equipment operation data management method of the present application.

[0028] like Figure 1 As shown, the electrical equipment operation data management method specifically includes the following steps:

[0029] Step S101, obtaining operation data of each electrical device within a preset time period, and sorting each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device.

[0030] In this step, the collection time of each operating data of a certain electrical device is obtained, and the various operating data of the certain electrical device are sorted according to the order of the collection time to obtain a certain operating data sequence. Specifically, the operating data can be the operating temperature data of the electrical device.

[0031] For example, for electrical equipment A, operation data a is collected at 8 a.m., operation data b is collected at 9 a.m., operation data c is collected at 10 a.m., operation data d is collected at 11 a.m., and operation data e is collected at 12 a.m. Therefore, the operation data is sorted based on the collection time, and the order is an operation data sequence of operation data a, operation data b, operation data c, operation data d, and operation data e.

[0032] Step S102, aligning the at least one operation data sequence in parallel, and sliding on the at least one operation data sequence according to a preset sliding window, and determining whether the data difference between any two operation data in the sliding window is less than a preset threshold during each sliding.

[0033] In this step, one operation data sequence corresponds to one electrical device, so each operation data sequence is aligned in parallel, and a sliding window is used to slide on each operation data sequence, so that the operation data of each electrical device at the same time can be analyzed. By judging whether the data difference between any two operation data in the sliding window is less than a preset threshold at each sliding, it is possible to determine as much as possible whether there is a potential anomaly in the operation data of each electrical device at the same collection time. Specifically, the width of the sliding window is one operation data, so the operation data in the sliding window are all operation data of different electrical devices. And the step length of each sliding of the sliding window is one operation data, so that the sliding window can traverse all the operation data.

[0034] In a specific embodiment, after judging whether the data difference between any two running data in the sliding window is less than a preset threshold value each time the sliding is performed, if the data difference between any two running data in the sliding window is less than the preset threshold value, it is further judged whether the data difference between any two running data in the next sliding window is less than the preset threshold value.

[0035] Step S103: If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and according to the risk operation data, a certain operation data sequence is intercepted using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence.

[0036] In this step, the target position of each risk operation data in a certain operation data sequence, the initial position of the first operation data, and the terminal position of the last operation data are obtained; all operation data from the initial position to the first target position are intercepted to obtain a first operation data subsequence, and all operation data from the second target position to the terminal position are intercepted to obtain a second operation data subsequence, wherein the first target position is adjacent to the initial position, and the second target position is adjacent to the terminal position; all operation data from the third target position to the first target position are intercepted to obtain a third operation data subsequence, until all target position operation data subsequences are traversed and intercepted to obtain at least one operation data subsequence corresponding to a certain operation data sequence, wherein the third target position is adjacent to the first target position, and the third operation data subsequence and the first operation data subsequence both contain the first risk operation data corresponding to the first target position.

[0037] For example, a certain operation data sequence is divided into a first operation data subsequence (operation data a, operation data b, operation data c), a second operation data subsequence (operation data c, operation data d, operation data e), and a third operation data subsequence (operation data e, operation data f). By dividing a certain operation data sequence into partially overlapping operation data subsequences, it is possible to facilitate the subsequent establishment of more second association relationships.

[0038] Step S104 , respectively selecting target operating data from the at least one operating data subsequence, and obtaining a target position of the target operating data in the corresponding operating data subsequence.

[0039] In this step, a first data value corresponding to the first operating data in a certain operating data subsequence and a second data value corresponding to the second operating data are obtained, and the size of the second data value and the first data value is determined, wherein the first operating data is the first operating data in a certain operating data subsequence, and the second operating data is the last operating data in a certain operating data subsequence; when the first data value is greater than the second data value, the first operating data is selected as the target operating data; when the first data value is less than the second data value, the second operating data is selected as the target operating data; when the first data value is equal to the second data value, the first operating data or the second operating data is selected as the target operating data.

[0040] Step S105, associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, and obtaining a device position of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices;

[0041] In this step, at least two operation data subsequences are associated according to the device position and the target position to obtain a second association relationship, including: obtaining a first position of a first electrical device corresponding to the first operation data sequence, and obtaining a second operation data sequence of a second electrical device at a second position, wherein a distance between the second position and the first position is less than a preset distance threshold; determining whether a first target position where the first target operation data in the first operation data subsequence is located is the same as a second target position where the second target operation data in the second operation data subsequence is located, wherein the first operation data subsequence is an operation data subsequence in the first operation data sequence, the second operation data subsequence is an operation data subsequence in the second operation data sequence, and when the first operation data sequence and the second operation data sequence are aligned in parallel, the first operation data subsequence and the second operation data subsequence are at the same position; if they are the same, the first operation data subsequence is associated with the second operation data subsequence to obtain a second association relationship; if they are not the same, the first operation data subsequence is not associated with the second operation data subsequence.

[0042] Since the locations of the electrical devices are close to each other and their environmental factors are similar, the second association relationship is obtained by associating the operation data subsequences of all the electrical devices with similar locations based on the target location, which can improve the efficiency of overall identification of the operation data of the electrical devices while ensuring the identification accuracy as much as possible. For example, the distance between electrical device A and electrical device B is less than the preset distance threshold.

[0043] After the division from step S101 to step S103, the operation data subsequences corresponding to the electrical device A are: operation data subsequence a, operation data subsequence b, and operation data subsequence c; the operation data subsequences corresponding to the electrical device B are: operation data subsequence 1, operation data subsequence 2, and operation data subsequence 3. According to the preset interception rule, it can be obtained that the operation data subsequence a is aligned with the operation data subsequence 1, the operation data subsequence b is aligned with the operation data subsequence 2, and the operation data subsequence c is aligned with the operation data subsequence 3.

[0044] Assuming that the target operating data of operating data subsequence a is the first one in operating data subsequence a, and the target operating data of operating data subsequence 1 is the first one in operating data subsequence 1, it means that the target positions of the two target operating data are the same, so a second association relationship is established between operating data subsequence a and operating data subsequence 1. If the target operating data of operating data subsequence a is the first one in operating data subsequence a, and the target operating data of operating data subsequence 1 is the last one in operating data subsequence 1, it means that the target positions of the two target operating data are different, so a second association relationship is not established between operating data subsequence a and operating data subsequence 1.

[0045] Step S106, input each target operating data into a preset data recognition model, the data recognition model outputs a data recognition result corresponding to the each target operating data, and identifies the at least one operating data subsequence based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical equipment.

[0046] In this step, it is determined whether the data recognition result of a certain target operation data is abnormal; if it is abnormal, based on the first association relationship corresponding to the certain target operation data, a certain operation data subsequence is obtained, and the other operation data in the certain operation data subsequence are respectively input into the data recognition model, and the data recognition model outputs the data recognition results corresponding to the other operation data, wherein the certain target operation data is the operation data in the certain operation data subsequence, and the other operation data is the operation data in the certain operation data subsequence except the certain target operation data; based on the second association relationship corresponding to the certain operation data subsequence, other operation data subsequences are obtained, and the operation data in the other operation data subsequences are respectively input into the data recognition model, and the data recognition model outputs the data recognition results corresponding to the other operation data; if it is normal, based on the first association relationship, the data recognition result of a certain target operation data is directly used as the data recognition result of each operation data in the certain operation data subsequence.

[0047] It should be noted that the data recognition model can be obtained by training a convolutional neural network through historical operation data and labels corresponding to the historical operation data.

[0048] In summary, the method of the present application defines each operating data in the sliding window as risk operating data, and according to the risk operating data, a preset interception rule is used to intercept a certain operating data sequence to obtain at least one operating data subsequence corresponding to the certain operating data sequence, and target operating data is selected in at least one operating data subsequence, and the target position of the target operating data corresponding to the operating data subsequence is obtained, each target operating data is associated with at least one operating data subsequence to obtain a first association relationship, and the device position of the electrical equipment corresponding to the target operating data is obtained, and at least two operating data subsequences are associated according to the device position and the target position to obtain a second association relationship. The first association relationship and the second association relationship can reduce the amount of data recognition, thereby reducing the workload of the data recognition model required to identify the operating data of each electrical equipment at each moment.

[0049] See also Figure 2 , which shows a structural block diagram of an electrical equipment operation data management system of the present application.

[0050] like Figure 2 As shown, the electrical equipment operation data management system 200 includes an acquisition module 210 , a judgment module 220 , an interception module 230 , a selection module 240 , an association module 250 and an output module 260 .

[0051] Among them, the acquisition module 210 is configured to acquire the operation data of each electrical device within a preset time period, and sort each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device; the judgment module 220 is configured to align the at least one operation data sequence in parallel, and slide on the at least one operation data sequence according to a preset sliding window, and judge whether the data difference between any two operation data in the sliding window is less than a preset threshold value during each sliding; the interception module 230 is configured to define each operation data in the sliding window as risk operation data if it is less than the preset threshold value, and according to the risk operation data, intercept a certain operation data sequence using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence; the selection module 240 is configured to select a subsequence of the at least one operation data sequence. The target operating data are respectively selected from the subsequences, and the target position of the corresponding operating data subsequence of the target operating data is obtained; the association module 250 is configured to associate each target operating data with the at least one operating data subsequence to obtain a first association relationship, and obtain the device position of the electrical equipment corresponding to the target operating data, and associate at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical equipment; the output module 260 is configured to input each target operating data into a preset data recognition model, the data recognition model outputs a data recognition result corresponding to the each target operating data, and identifies the at least one operating data subsequence according to the data recognition result, the first association relationship and the second association relationship to obtain a data recognition result of each electrical equipment.

[0052] It should be understood that Figure 2 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects are also applicable to Figure 2 The modules in it will not be described in detail here.

[0053] In some other embodiments, the embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor is caused to execute the electrical equipment operation data management method in any of the above method embodiments;

[0054] As an implementation mode, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows:

[0055] Acquire operation data of each electrical device within a preset time period, and sort each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device;

[0056] Aligning the at least one operation data sequence in parallel, sliding on the at least one operation data sequence according to a preset sliding window, and determining whether a data difference between any two operation data in the sliding window is less than a preset threshold value during each sliding;

[0057] If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and according to the risk operation data, a certain operation data sequence is intercepted by using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence;

[0058] Selecting target operating data respectively from the at least one operating data subsequence, and obtaining a target position of the target operating data corresponding to the operating data subsequence;

[0059] Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, acquiring a device position of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices;

[0060] Each target operating data is input into a preset data recognition model, and the data recognition model outputs a data recognition result corresponding to the each target operating data, and the at least one operating data subsequence is recognized based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical equipment.

[0061] The computer-readable storage medium may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required by at least one function; the data storage area may store data created according to the use of the electrical equipment operation data management system, etc. In addition, the computer-readable storage medium may include a high-speed random access memory, and may also include a memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the electrical equipment operation data management system via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0062] Figure 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 3 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 3 The example of the bus connection is taken. The memory 320 is the computer-readable storage medium mentioned above. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, the electrical equipment operation data management method of the above method embodiment is implemented. The input device 330 can receive input digital or character information, and generate key signal input related to user settings and function control of the electrical equipment operation data management system. The output device 340 may include a display device such as a display screen.

[0063] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0064] As an implementation mode, the electronic device is applied to an electrical equipment operation data management system and is used for a client, and includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can:

[0065] Acquire operation data of each electrical device within a preset time period, and sort each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device;

[0066] Aligning the at least one operation data sequence in parallel, sliding on the at least one operation data sequence according to a preset sliding window, and determining whether a data difference between any two operation data in the sliding window is less than a preset threshold value during each sliding;

[0067] If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and according to the risk operation data, a certain operation data sequence is intercepted by using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence;

[0068] Selecting target operating data respectively from the at least one operating data subsequence, and obtaining a target position of the target operating data corresponding to the operating data subsequence;

[0069] Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, acquiring a device position of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices;

[0070] Each target operating data is input into a preset data recognition model, and the data recognition model outputs a data recognition result corresponding to the each target operating data, and the at least one operating data subsequence is recognized based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical equipment.

[0071] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for managing operation data of electrical equipment, characterized in that: include: Acquire operation data of each electrical device within a preset time period, and sort each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device; Aligning the at least one operation data sequence in parallel, sliding on the at least one operation data sequence according to a preset sliding window, and determining whether a data difference between any two operation data in the sliding window is less than a preset threshold value during each sliding; If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and according to the risk operation data, a certain operation data sequence is intercepted by using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence; Selecting target operating data respectively from the at least one operating data subsequence, and obtaining a target position of the target operating data corresponding to the operating data subsequence; Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, acquiring a device position of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices; Each target operating data is input into a preset data recognition model, and the data recognition model outputs a data recognition result corresponding to each target operating data, and the at least one operating data subsequence is recognized based on the data recognition result, the first association relationship, and the second association relationship to obtain a data recognition result for each electrical device.

2. The method for managing electrical equipment operation data according to claim 1, characterized in that: The step of sorting the various operation data according to a preset sorting rule to obtain at least one operation data sequence comprises: Acquiring the collection time of each piece of operating data of a certain electrical device, and sorting the each piece of operating data of the certain electrical device according to the sequence of the collection time, to obtain a certain operating data sequence.

3. The method for managing electrical equipment operation data according to claim 1, characterized in that: After determining whether the data difference between any two running data in the sliding window is less than a preset threshold value during each sliding, the method further includes: If it is less than the preset threshold, continue to determine whether the data difference between any two running data in the next sliding window is less than the preset threshold.

4. The method for managing electrical equipment operation data according to claim 1, characterized in that: According to the risk operation data, a certain operation data sequence is intercepted by using a preset interception rule to obtain at least one operation data subsequence corresponding to the certain operation data sequence, including: Obtain the target position of each risk operation data in a certain operation data sequence, the initial position of the first operation data, and the end position of the last operation data; intercepting all the operation data from the initial position to the first target position to obtain a first operation data subsequence, and intercepting all the operation data from the second target position to the end position to obtain a second operation data subsequence, wherein the first target position is adjacent to the initial position, and the second target position is adjacent to the end position; All operating data from the third target position to the first target position are intercepted to obtain a third operating data subsequence, until all target position operating data subsequences are traversed and intercepted to obtain at least one operating data subsequence corresponding to the certain operating data sequence, wherein the third target position is adjacent to the first target position, and the third operating data subsequence and the first operating data subsequence both contain the first risk operating data corresponding to the first target position.

5. The method for managing electrical equipment operation data according to claim 1, characterized in that: The selecting target operating data from the at least one operating data subsequence comprises: Obtaining a first data value corresponding to a first operating data and a second data value corresponding to a second operating data in a certain operating data subsequence, and determining a magnitude between the second data value and the first data value, wherein the first operating data is the first operating data in the certain operating data subsequence, and the second operating data is the last operating data in the certain operating data subsequence; When the first data value is greater than the second data value, selecting the first operation data as the target operation data; When the first data value is less than the second data value, selecting the second operating data as the target operating data; When the first data value is equal to the second data value, the first operating data or the second operating data is selected as the target operating data.

6. The method for managing electrical equipment operation data according to claim 1, characterized in that: The associating at least two operation data subsequences according to the device position and the target position to obtain a second association relationship comprises: Acquire a first position of a first electrical device corresponding to a first operation data sequence, and acquire a second operation data sequence of a second electrical device at a second position, wherein a distance between the second position and the first position is less than a preset distance threshold; determining whether a first target position where the first target operating data in the first operating data subsequence is located is the same as a second target position where the second target operating data in the second operating data subsequence is located, wherein the first operating data subsequence is an operating data subsequence in the first operating data sequence, the second operating data subsequence is an operating data subsequence in the second operating data sequence, and when the first operating data sequence and the second operating data sequence are aligned side by side, the first operating data subsequence and the second operating data subsequence are in the same position; If they are the same, the first operation data subsequence is associated with the second operation data subsequence to obtain a second association relationship.

7. The method for managing electrical equipment operation data according to claim 1, characterized in that: The identifying the at least one operation data subsequence according to the data identification result, the first association relationship and the second association relationship to obtain the data identification result of each electrical device includes: Determine whether the data recognition result of a certain target operation data is abnormal; If it is abnormal, based on the first association relationship corresponding to the certain target operating data, a certain operating data subsequence is obtained, and other operating data in the certain operating data subsequence are respectively input into the data recognition model, and the data recognition model outputs data recognition results corresponding to the other operating data, wherein the certain target operating data is the operating data in the certain operating data subsequence, and the other operating data is the operating data in the certain operating data subsequence excluding the certain target operating data; Based on the second association relationship corresponding to the certain operation data subsequence, other operation data subsequences are obtained, and the operation data in the other operation data subsequences are respectively input into the data recognition model, and the data recognition model outputs data recognition results corresponding to the other operation data.

8. The method for managing electrical equipment operation data according to claim 1, characterized in that: After determining whether a data recognition result of a certain target operation data is abnormal, the method further includes: If normal, based on the first association relationship, the data identification result of the certain target operating data is directly used as the data identification result of each operating data in the certain operating data subsequence.

9. An electrical equipment operation data management system, characterized in that: include: An acquisition module is configured to acquire operation data of each electrical device within a preset time period, and sort each operation data according to a preset sorting rule to obtain at least one operation data sequence, wherein one operation data sequence corresponds to one electrical device; a judgment module configured to align the at least one operation data sequence in parallel, and slide on the at least one operation data sequence according to a preset sliding window, and judge whether the data difference between any two operation data in the sliding window is less than a preset threshold value during each sliding; The interception module is configured to define each operation data in the sliding window as risk operation data if it is less than a preset threshold, and intercept a certain operation data sequence using a preset interception rule according to the risk operation data to obtain at least one operation data subsequence corresponding to the certain operation data sequence; a selection module configured to select target operation data from the at least one operation data subsequence, and obtain a target position of the target operation data corresponding to the operation data subsequence; an associating module, configured to associate each target operating data with the at least one operating data subsequence to obtain a first association relationship, and obtain a device position of the electrical device corresponding to the target operating data, and associate at least two operating data subsequences according to the device position and the target position to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices; The output module is configured to input each target operating data into a preset data recognition model, and the data recognition model outputs a data recognition result corresponding to the each target operating data, and recognizes the at least one operating data subsequence according to the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical device.

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