Electrical equipment operation data management method and system

Abstract

The present invention discloses a method and system for managing operating data of electrical equipment. The method includes: defining each operating data in a sliding window as risk operating data, and based on the risk operating data, using a preset interception rule to intercept a certain operating data sequence to obtain at least one operating data subsequence corresponding to the certain operating data sequence; selecting target operating data from the at least one operating data subsequence, and obtaining the target position of the target operating data in the corresponding operating data subsequence; associating each target operating data with the at least one operating data subsequence to obtain a first association relationship; and obtaining the device position of the electrical equipment corresponding to the target operating data, and associating at least two operating data subsequences based on the device position and the target position to obtain a second association relationship. This reduces the workload of the data recognition model required to identify the operating data of each electrical equipment at each moment.

Description

Technical Field

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

[0002] During operation, electrical equipment generates a large amount of operational data, such as voltage, current, power, speed, device temperature, number of operations performed, and so on. Therefore, to ensure the normal operation of the equipment, the operational data of the electrical equipment is monitored. The authenticity and stability of the operational data are crucial to the monitoring results of the electrical equipment.

[0003] In the existing technology, 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, it will lead to data redundancy, which will affect the management efficiency of 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 for solving the technical problem that simultaneous data identification of multiple electrical equipment in an area will lead to data redundancy and affect the management efficiency of operation data.

[0005] In a first aspect, the present invention provides a method for managing operating 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 operating data sequence in parallel, sliding a preset sliding window on the at least one operating data sequence, and determining whether a data difference between any two operating data in the sliding window is less than a preset threshold during each sliding operation;

[0008] If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and a certain operation data sequence is intercepted 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;

[0009] 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;

[0010] Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, obtaining a device location of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device location and the target location 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 identified based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical device.

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

[0013] an acquisition module 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 operating data sequence in parallel, slide a preset sliding window over the at least one operating data sequence, and judge whether a data difference between any two operating data in the sliding window is less than a preset threshold during each sliding operation;

[0015] a truncation module configured to define each operating data in the sliding window as risk operating data if the value is less than a preset threshold, and to truncate a certain operating data sequence using a preset truncation rule based on the risk operating data to obtain at least one operating data subsequence corresponding to the certain operating data sequence;

[0016] a selection module configured to select target operating data from the at least one operating data subsequence, and obtain a target position of the target operating data in the corresponding operating 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, obtain a device location of the electrical device corresponding to the target operating data, and associate at least two operating data subsequences based on the device location and the target location 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, 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 device.

[0019] In 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 electrical equipment operation data management method 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, use preset interception rules to intercept a certain operation data sequence to obtain at least one operation data subsequence corresponding to the certain operation data sequence, select target operation data in at least one operation data subsequence, and obtain the target position of the target operation data corresponding to the operation data subsequence, associate each target operation data with at least one operation data subsequence to obtain a first association relationship, and obtain the device position of the electrical equipment corresponding to the target operation data, and associate at least two operation data subsequences 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 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 is a brief introduction to 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 any creative work.

[0023] Figure 1 A flowchart of a method for managing electrical equipment operation data provided by one embodiment of the present invention;

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

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

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall 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 : acquiring 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 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 device A, operating data a is collected at 8:00 AM, operating data b is collected at 9:00 AM, operating data c is collected at 10:00 AM, operating data d is collected at 11:00 AM, and operating data e is collected at 12:00 AM. Therefore, the operating data is sorted based on the collection time, and the order is operating data a, operating data b, operating data c, operating data d, and operating data e.

[0032] Step S102: align the at least one operating data sequence in parallel, and slide the at least one operating data sequence according to a preset sliding window, and determine whether the data difference between any two operating data in the sliding window is less than a preset threshold during each sliding.

[0033] In this step, each operating data sequence corresponds to a single electrical device. Therefore, the individual operating data sequences are aligned and a sliding window is used to slide across them, enabling analysis of the operating data of each electrical device at the same moment. By determining whether the difference between any two operating data points within the sliding window is less than a preset threshold during each slide, it is possible to determine, to the greatest extent possible, whether there are potential anomalies in the operating data of each electrical device at the same time of collection. Specifically, the width of the sliding window is one operating data point, so the operating data within the sliding window represents the operating data of different electrical devices. Furthermore, the step size of each sliding window is one operating data point, allowing the sliding window to traverse all operating data points.

[0034] In a specific embodiment, after determining whether the data difference between any two operating data in the sliding window is less than a preset threshold during each sliding, if it is less than the preset threshold, continue to determine whether the data difference between any two operating data in the next sliding window is less than the preset threshold.

[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 a certain operation data sequence is intercepted according to the risk operation data 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 both the third operation data subsequence and the first operation data subsequence contain the first risk operation data corresponding to the first target position.

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

[0038] Step S104 : Select target operating data from the at least one operating data subsequence, and obtain 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 and a second data value corresponding to the second operating data in a certain operating data subsequence are obtained, and the size of the second data value relative to 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, obtaining a device location of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences based on the device location and the target location to obtain a second association relationship, wherein the at least two operating data subsequences correspond to different electrical devices;

[0041] In this step, associating at least two operating data subsequences according to the device position and the target position to obtain a second association relationship includes: obtaining a first position of a first electrical device corresponding to the first operating data sequence, and obtaining a second operating 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; and determining whether a first target position of first target operating data in the first operating data subsequence is the same as a second target position of second target operating data in the second operating data subsequence, wherein the first operating data subsequence is an operating data subsequence in the first operating data sequence, and 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 at the same position; if they are the same, associating the first operating data subsequence with the second operating data subsequence to obtain a second association relationship; if they are not the same, not associating the first operating data subsequence with the second operating data subsequence.

[0042] Because electrical devices are located close together and their environmental factors are similar, the second association relationship is derived by associating the operating data subsequences of all similarly located electrical devices based on the target location. This improves the overall efficiency of identifying the operating data of the electrical devices while ensuring identification accuracy as much as possible. For example, the distance between electrical device A and electrical device B is less than a preset distance threshold.

[0043] After the division from steps S101 to S103, the operating data subsequences corresponding to electrical device A are: operating data subsequence a, operating data subsequence b, and operating data subsequence c; and the operating data subsequences corresponding to electrical device B are: operating data subsequence 1, operating data subsequence 2, and operating data subsequence 3. Using the preset truncation rules, it can be obtained that operating data subsequence a is aligned with operating data subsequence 1, operating data subsequence b is aligned with operating data subsequence 2, and operating data subsequence c is aligned with operating data subsequence 3.

[0044] Assuming that the target operating data of operating data subsequence a is the first in operating data subsequence a, and the target operating data of operating data subsequence 1 is the first in operating data subsequence 1, it is indicated that the target positions of the two target operating data are the same, and thus 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 in operating data subsequence a, and the target operating data of operating data subsequence 1 is the last in operating data subsequence 1, it is indicated that the target positions of the two target operating data are different, and thus 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, and the data recognition model outputs a data recognition result corresponding to 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 device.

[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 excluding 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 the 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 using historical operating data and labels corresponding to the historical operating 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, adopts a preset interception rule to intercept a certain operating data sequence to obtain at least one operating data subsequence corresponding to the certain operating data sequence, selects target operating data in at least one operating data subsequence, and obtains the target position of the corresponding operating data subsequence where the target operating data is located, associates each target operating data with at least one operating data subsequence to obtain a first association relationship, and obtains the device position of the electrical equipment corresponding to the target operating data, and associates at least two operating data subsequences 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, and reduce 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 operating data of each electrical device within a preset time period, and sort each operating data according to a preset sorting rule to obtain at least one operating data sequence, wherein one operating data sequence corresponds to one electrical device; the judgment module 220 is configured to align the at least one operating data sequence in parallel, and slide on the at least one operating data sequence according to a preset sliding window, and judge whether the data difference between any two operating data in the sliding window is less than a preset threshold value during each sliding; the interception module 230 is configured to define each operating data in the sliding window as risk operating data if it is less than the preset threshold value, and intercept a certain operating data sequence according to the risk operating data using a preset interception rule to obtain at least one operating data subsequence corresponding to the certain operating data sequence; the selection module 240 is configured to select a subsequence of the at least one operating 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 for 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 also apply to Figure 2 The modules in it will not be described in detail here.

[0053] In other embodiments, 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 embodiment, 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 operating data sequence in parallel, sliding a preset sliding window on the at least one operating data sequence, and determining whether a data difference between any two operating data in the sliding window is less than a preset threshold during each sliding operation;

[0057] If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and a certain operation data sequence is intercepted 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;

[0058] 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;

[0059] Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, obtaining a device location of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device location and the target location 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 identified based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical device.

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

[0062] Figure 3 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. 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 uses a bus connection. Memory 320 is the aforementioned computer-readable storage medium. Processor 310 executes the various server functional applications and data processing by running the non-volatile software programs, instructions, and modules stored in memory 320, thereby implementing the electrical equipment operation data management method described in the aforementioned method embodiment. 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. Output device 340 can 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 fully described in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0064] As an embodiment, the electronic device is applied to an electrical equipment operation data management system and is used for a client, 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 to enable the at least one processor to:

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

[0067] If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and a certain operation data sequence is intercepted 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;

[0068] 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;

[0069] Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, obtaining a device location of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device location and the target location 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 identified based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical device.

[0071] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or certain 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 various embodiments of the present invention.

Claims

1. A method for managing operating 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 operating data sequence in parallel, sliding a preset sliding window on the at least one operating data sequence, and determining whether a data difference between any two operating data in the sliding window is less than a preset threshold during each sliding operation; If it is less than a preset threshold, each operation data in the sliding window is defined as risk operation data, and a certain operation data sequence is intercepted 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; 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; Associating each target operating data with the at least one operating data subsequence to obtain a first association relationship, obtaining a device location of the electrical device corresponding to the target operating data, and associating at least two operating data subsequences according to the device location and the target location 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 the each target operating data, and the at least one operating data subsequence is identified based on the data recognition result, the first association relationship and the second association relationship to obtain the data recognition result of each electrical device.

2. The method for managing electrical equipment operation data according to claim 1, wherein: The step of sorting the various operating data according to a preset sorting rule to obtain at least one operating data sequence includes: 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 order of the collection time, to obtain a certain operating data sequence.

3. The method for managing electrical equipment operation data according to claim 1, wherein: After determining whether the data difference between any two pieces of operating data in the sliding window is less than a preset threshold during each sliding operation, 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, wherein: The method of intercepting 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 includes: 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 running data from the initial position to a first target position to obtain a first running data subsequence, and intercepting all running data from a second target position to the end position to obtain a second running 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, wherein: The selecting target operating data from the at least one operating data subsequence includes: Obtaining a first data value corresponding to first operating data and a second data value corresponding to 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 operating data as the target operating 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, wherein: The associating at least two operating data subsequences according to the device position and the target position to obtain a second association relationship includes: Acquire a first position of a first electrical device corresponding to a first operating data sequence, and acquire a second operating 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 of first target running data in a first running data subsequence is the same as a second target position of second target running data in a second running data subsequence, wherein the first running data subsequence is a running data subsequence in the first running data sequence, the second running data subsequence is a running data subsequence in the second running data sequence, and when the first running data sequence and the second running data sequence are aligned side by side, the first running data subsequence and the second running data subsequence are in the same position; If they are the same, the first operating data subsequence is associated with the second operating 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 operating 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 there is an abnormality, based on the first association relationship corresponding to the certain target operating data, a certain operating data subsequence is obtained, and the 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, wherein: After determining whether a data recognition result of a certain target operation data is abnormal, the method further includes: If normal, the data identification result of the target operating data is directly used as the data identification result of each operating data in the operating data subsequence based on the first association relationship.

9. An electrical equipment operation data management system, characterized in that: include: an acquisition module 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 operating data sequence in parallel, slide a preset sliding window over the at least one operating data sequence, and judge whether a data difference between any two operating data in the sliding window is less than a preset threshold during each sliding operation; a truncation module configured to define each operating data in the sliding window as risk operating data if the value is less than a preset threshold, and to truncate a certain operating data sequence using a preset truncation rule based on the risk operating data to obtain at least one operating data subsequence corresponding to the certain operating data sequence; a selection module configured to select target operating data from the at least one operating data subsequence, and obtain a target position of the target operating data in the corresponding operating 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, obtain a device location of the electrical device corresponding to the target operating data, and associate at least two operating data subsequences based on the device location and the target location 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, 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 device.

Images