Method and device for optimizing electric power near-field operation and maintenance based on open source gap, and medium

Abstract

The invention relates to the technical field of power operation and maintenance, and discloses a method for optimizing power near-field operation and maintenance based on an open source gap, and the method comprises the steps: S1, collecting the power data of power equipment; s2, encoding the power equipment in the power data, generating a unique identity mark two-dimensional code of the power equipment, and storing the unique identity mark two-dimensional code in a power equipment information ledger of an open-source Gao Mongolia power system; s3, identifying the two-dimensional code of the identity label in the electrical equipment information ledger in combination with a two-dimensional code image identification and correction algorithm, and inputting and filling in information; s4, monitoring the power data in real time on the power big data processing platform according to a time sequence analysis algorithm, and generating a predictive maintenance strategy; and S5, power near-field operation and maintenance are optimized in combination with a predictive maintenance strategy. The invention further discloses electronic equipment and a computer readable storage medium.

Description

Technical Field

[0001] The present invention relates to the field of power operation and maintenance technology, and in particular to a method, device, and medium for optimizing power near-field operation and maintenance based on open source Hongmeng, which is used to optimize power near-field operation and maintenance based on the open source power Hongmeng system. Background Art

[0002] In the field of contemporary power systems, with the increasing demand for electricity and the complexity of the grid structure, the distribution network, as a key link in the power system, has a direct impact on the reliability and economy of power supply through the efficiency and accuracy of its operation and maintenance management. Traditional distribution network operation and maintenance relies on regular manual inspections and experience-driven fault handling, which is not only inefficient but also incapable of handling complex faults. In recent years, the application of artificial intelligence technology in power systems has become increasingly widespread. Its advantages in data processing, pattern recognition, and decision support have provided new possibilities for the optimization of distribution network operation and maintenance management systems.

[0003] The present invention provides a method, device, and medium for optimizing near-field operation and maintenance of electric power based on open source Hongmeng. Based on the open source electric power Hongmeng system, it optimizes near-field operation and maintenance of electric power, including the use of various wireless communication methods to perform self-discovery, self-handshake, self-organizing networking and other seamless connections between operation and maintenance terminals and other equipment in distribution rooms and substations, data interconnection, and the transformation of screenless devices into small screens and small screens into large screens. Summary of the invention

[0004] The present invention provides a method, device, and medium for optimizing near-field operation and maintenance of electric power based on open source Hongmeng, which is used to optimize near-field operation and maintenance of electric power based on the open source electric power Hongmeng system.

[0005] The present invention is implemented by the following technical solution: A method for optimizing power near-field operation and maintenance based on open source Hongmeng, comprising the following steps:

[0006] Step S1, collecting power data of power equipment;

[0007] Step S2, encode the power equipment in the power data, generate a unique identity QR code for the power equipment, and store it in the power equipment information ledger of the open source Hongmeng power system;

[0008] Step S3, identifying the identity mark QR code in the power equipment information ledger in combination with the QR code image recognition and correction algorithm and entering and filling in the information;

[0009] Step S4, monitoring the power data in real time on the big data platform according to a time series analysis algorithm, and generating a predictive maintenance strategy;

[0010] Step S5, optimizing power near-field operation and maintenance in combination with the predictive maintenance strategy.

[0011] In order to better implement the present invention, further, the step S1 includes:

[0012] The power equipment includes power distribution rooms, operation and maintenance terminals and other equipment in substations;

[0013] The power data includes data of operation and maintenance terminals and other equipment in distribution rooms and substations.

[0014] In order to better implement the present invention, further, step S2 includes:

[0015] According to the basic data information of the electric equipment, and based on the equipment identification code information of the electric equipment, encoding is performed to generate a unique identity mark QR code of the electric equipment;

[0016] The basic data information of the electric power equipment includes information about the unit to which it belongs, name information, number information, and type information.

[0017] In order to better implement the present invention, further, the calculation method of the two-dimensional code image recognition correction algorithm in step S3 includes:

[0018] In the two-dimensional code image recognition correction algorithm, let (x, y) be the forward-shot image under good environmental conditions, (u, v) be the oblique-shot image under bad conditions, Z be the original matrix, and M be the transformation matrix. The general transformation algorithm is as follows:

[0019]

[0020] Among them, a 11 Represents the first row and first column in the matrix. Similarly, a 12 ...a 33 Represents the elements in three rows and three columns in the matrix

[0021] Solving and normalizing the general transformation algorithm can obtain the optimized transformation formula, which can be expressed as:

[0022]

[0023] By optimizing the parameters in the transformation formula, the scanning results are improved, the identity QR code of the power equipment is accurately identified, and relevant information is retrieved.

[0024] In order to better implement the present invention, further, the method for entering and filling in information in the power equipment information ledger in step S3 includes:

[0025] For the power equipment that has been put into operation, an equipment identification code shall be generated once in the power equipment information ledger; for the newly added power equipment, it shall be entered into the power equipment information ledger through on-site collection.

[0026] In order to better implement the present invention, further, step S4 includes:

[0027] It is assumed that the operating state of the power equipment can be represented as a time series Y(t), where t represents time, and the time series is obtained in real time through various sensors;

[0028] Using an autoregressive moving average model in the time series analysis algorithm to analyze the power data in the time series, and obtaining parameter data of the time series;

[0029] predicting the future state of the power equipment based on the parameter data of the time series;

[0030] A warning threshold is set. When the predicted future state of the power equipment exceeds the warning threshold, it indicates that the power equipment has the risk of failure or performance degradation.

[0031] A predictive maintenance strategy is generated based on the future state of the electrical equipment.

[0032] In order to better implement the present invention, further, step S4 also includes:

[0033] The autoregressive moving average model is expanded by introducing exogenous variables in the time series analysis algorithm to further predict the future state of the power equipment.

[0034] In order to better implement the present invention, further, the optimization of near-field power operation and maintenance in step S5 includes:

[0035] Setting maintenance reminder time and maintenance plan according to the maintenance strategy in the predictive maintenance strategy to optimize the maintenance of the power equipment in the power near field;

[0036] According to the communication strategy in the predictive maintenance strategy, various wireless communication methods are used to perform non-sensing connections such as self-discovery, self-handshake, self-organizing networking, and data interconnection between the power equipment.

[0037] The present invention also provides an electronic device, which includes a processor and a memory; the processor includes the open source power Hongmeng system recorded in the second aspect above.

[0038] The present invention also provides a computer-readable storage medium, which includes instructions; when the instructions are executed on the electronic device described in the third aspect, the electronic device executes the method described in the first aspect.

[0039] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0040] (1) The present invention provides a method, device, and medium for optimizing near-field operation and maintenance of electric power based on open source Hongmeng. Based on the open source electric power Hongmeng system, the method optimizes near-field operation and maintenance of electric power, including the use of various wireless communication methods to perform self-discovery, self-handshake, self-organizing networking and other seamless connections between operation and maintenance terminals and other equipment in distribution rooms and substations, data interconnection, and the transformation of screenless devices into small screens and small screens into large screens. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention is further described in conjunction with the following drawings and embodiments, and all the concepts and innovations of the present invention should be regarded as the disclosed contents and the protection scope of the present invention.

[0042] Figure 1 A method flow chart of a method, device, and medium for optimizing near-field power operation and maintenance based on open source Hongmeng provided in an embodiment of the present application;

[0043] Figure 2 A structural diagram of using an open source Hongmeng power system to optimize power near-field operation and maintenance in a method, device, and medium based on open source Hongmeng for optimizing power near-field operation and maintenance provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions 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. It should be understood that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments, and therefore should not be regarded as limiting the scope of protection. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technical personnel in this field without making creative work are within the scope of protection of the present invention.

[0045] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "disposed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] The open source power Hongmeng system, referred to as "power Hongmeng system" or "power Hongmeng OS", is a new generation of smart terminal Internet of Things operating system. The open source power Hongmeng system has the following characteristics: First, it is a unified system with flexible assembly. A set of systems covers large and small devices, realizing the unification of power equipment systems; second, it is a unified standard, with standardized equipment interfaces and data protocols, "ending the seven countries and eight systems, and unifying the language of equipment", so that equipment data can be interoperable; third, it is the interconnection of all things, and the interconnection of all things is realized through a distributed soft bus, so that the connection between devices is freer, human-machine interconnection, machine-machine interconnection, and multi-machine interconnection, and the equipment operation and maintenance realizes "no screen becomes small screen, small screen becomes large screen"; fourth, it is safe and reliable. Through software package signature management, equipment startup security verification and other multi-technical verification, it ensures the safety of equipment startup and the credibility of the entire application link of the equipment, improves the system resilience and anti-attack ability, and realizes the safety and reliability of the entire power Internet of Things. It is understood that the open source power Hongmeng system can be applied to equipment in power production links such as power generation, transmission, substation, distribution, power consumption, dispatching, new energy, and water storage. For example, terminals for inspection, environmental monitoring, online monitoring, ranging, imaging, cable monitoring, positioning, etc. in power transmission scenarios, and environmental acquisition terminals, equipment acquisition terminals, circuit breakers, monitoring, security, and line monitoring terminals in power distribution scenarios. Optimize near-field power operation and maintenance, including the use of various wireless communication methods for self-discovery, self-handshake, self-organizing network, and other non-sensing connections between operation and maintenance terminals and other equipment in distribution rooms and substations, data interconnection, and the transformation of screenless devices into small screens and small screens into large screens. The near-field range can refer to a scenario involved in operation and maintenance, such as substations, distribution rooms, and operating areas within a short distance such as on power poles and underground in power wells.

[0047] Embodiment 1:

[0048] A method, device, and medium for optimizing near-field power operation and maintenance based on open source Hongmeng in this embodiment The present invention is based on the open source Hongmeng system for power (i.e., the Hongmeng system for power, also known as the Hongmeng OS for power), and optimizes near-field power operation and maintenance, including the use of various wireless communication methods for self-discovery, self-handshake, self-organizing network and other senseless connections between operation and maintenance terminals in distribution rooms and substations and other devices, data interconnection, and the transformation of screenless devices into small screens and small screens into large screens. The scope of the near field can refer to a scene involved in operation and maintenance, such as a substation, a distribution room, and an operation area within a close range such as on a power pole tower and underground a power well.

[0049] like Figure 1 - Figure 2As shown in the figure, in order to efficiently collect power data, it is first necessary to quickly and easily obtain information from the operation and maintenance terminals and other equipment in the distribution room and substation. Taking advantage of the convenience of mobile terminals, combined with cutting-edge technologies such as QR code image recognition and wireless communication, we have integrated a variety of software and hardware resources and combined them with professional application software (such as SCD and SSD file analysis software, setting list comparison analysis software, and fault recording file analysis software, etc.). Using the identity QR code of the relay protection equipment as the basic identification method and wireless communication technology as the data transmission method, the identity identification QR code of the power equipment is scanned by the smart mobile terminal within the power near field, so as to collect and record the power equipment information.

[0050] The equipment information collected by the smart mobile terminal will be automatically synchronized with the identity identification QR code data after deep retrieval, mining, coupling analysis and data mining identification by the big data processing platform. A flow chart tree-style retrieval and comparison will be performed in the equipment information library, and finally the basic information such as the equipment type, model, manufacturer, etc. corresponding to the power equipment will be intelligently and automatically filled and synchronized to the equipment information ledger. The staff responsible for operation and inspection only need to record the operating information of the power equipment at the work site. During the operation and maintenance process, they can view and maintain the equipment information, operation and maintenance records and operation and maintenance requirements by scanning the code, which greatly improves the maintenance efficiency of the power plant equipment. Finally,

[0051] Embodiment 2:

[0052] This embodiment is further optimized on the basis of embodiment 1. The identity of the power equipment in the power grid is unique. The two-dimensional code technology and radio frequency identification technology are applied to the management of power equipment. The work of procurement, installation, commissioning, operation, defect handling, and maintenance can be integrated, so that the on-site personnel can retrieve the relevant management information such as the operation status, defect records, and test reports of the power equipment in real time. When the two-dimensional code technology is applied, the unit, name, number, and type of the power equipment (including power tools) are used as data information. Based on the equipment identification code of the power equipment, a unique identity mark two-dimensional code is generated and stored in the power equipment information ledger in the open source power Hongmeng system. As the unique identity mark of the power equipment, a unified power equipment information ledger is established to uniformly manage the equipment identification codes of the commissioned power equipment and the newly added power equipment, because the equipment identification code is directly related to the two-dimensional code corresponding to the power equipment. The power equipment information ledger is deployed in the management system of the open source power Hongmeng system, and has the function of receiving the information of the relay protection statistical analysis system and the maintenance status of the power grid equipment, so as to query the operation status and equipment maintenance status of the power equipment by scanning the unique identity mark two-dimensional code of the power equipment.

[0053] For the power equipment that has been put into operation, the equipment identification code should be generated once in the power equipment information ledger. For the newly added power equipment, it should be entered through on-site collection. Once the equipment identification code of all power equipment is determined, it is not allowed to be changed. After the equipment is retired and scrapped, the same equipment identification code is not allowed to be used again. Correspondingly, the data of retired and scrapped power equipment will not be deleted in the power equipment information ledger and will be retained permanently. The power equipment information ledger can use the factory information library to simplify the information entry operation of newly added power equipment and automatically fill in the existing attribute values ​​in the factory information library. Manual modification is not allowed for the attribute values ​​automatically filled in using the factory information library.

[0054] The operating environment of power equipment is complex and diverse. For example, in a substation, when the lighting conditions are poor on cloudy or rainy days or at night, the scanning of the equipment identity mark QR code requires optimized image processing capabilities under adverse environments.

[0055] In the two-dimensional code image recognition correction algorithm, let (x, y) be the forward-shot image under good environmental conditions, (u, v) be the oblique-shot image under bad conditions, Z be the original matrix, and M be the transformation matrix. The general transformation algorithm is as follows:

[0056]

[0057] Among them, a 11 Represents the first row and first column in the matrix. Similarly, a 12 ...a 33 Represents the elements in three rows and three columns in the matrix

[0058] Solving the above equation and normalizing it yields:

[0059]

[0060] By optimizing the parameters in the transformation formula, the scanning results can be improved, the identity QR code of the power equipment can be accurately identified, and relevant information can be retrieved.

[0061] The other parts of this embodiment are the same as those of Embodiment 1, and thus will not be described in detail.

[0062] Embodiment 3:

[0063] This embodiment is further optimized on the basis of the above-mentioned embodiment 1 or 2, and the identity recognition, smart mobile terminal, and power big data platform construction are closely related to the application of wireless communication technology in optimizing the near-field operation and maintenance of electric power. Wireless communication technology connects the QR code, smart mobile terminal and big data platform to realize data communication. The operation and maintenance personnel receive and execute countermeasure tasks through the smart mobile terminal, and feedback the execution results to the big data platform to form a closed-loop management. The big data platform can track the progress of tasks and improve the efficiency of operation and maintenance. The platform supports real-time and dynamic visual management of relay protection equipment, solves the problem of technical differences among operation and maintenance personnel, provides electronic data query, and reduces the inconvenience of carrying paper materials. The smart mobile terminal records the equipment status, defects and inspection results, and synchronizes them to the platform to reduce the workload of manual transcription.

[0064] The other parts of this embodiment are the same as any of the above embodiments 1-2, so they are not repeated here.

[0065] Embodiment 4:

[0066] This embodiment is further optimized on the basis of any one of the above embodiments 1-3. In optimizing the near-field operation and maintenance of electric power, an algorithm based on time series analysis is introduced to monitor the status of power equipment in real time, and a predictive maintenance strategy is implemented accordingly. The core of this algorithm is to use historical data and real-time data to predict the future performance and potential failures of equipment, thereby realizing proactive operation and maintenance management.

[0067] The operating status of the operation and maintenance terminals and other equipment in the distribution room and substation can be expressed as a time series Y(t), where t represents time. This time series can be obtained in real time through various sensors, such as current, voltage, temperature and other indicators. To analyze this data, we use the autoregressive moving average (ARMA) model, which is a commonly used method in time series analysis.

[0068] The ARMA model can be expressed as:

[0069]

[0070] Where φ1, φ2, φ p are the parameters of the autoregressive (AR) part, θ1, θ2, θ qare the parameters of the moving average (MA) part, and ∈t is the white noise term. These parameters are estimated by analyzing the historical data of Y(t). Once the parameters are determined, the model can be used to predict the future status of the power equipment Y(t+1), Y(t+2). On this basis, an early warning threshold is set. When the predicted future state exceeds this threshold, it indicates that the power equipment may be at risk of failure or performance degradation. The operation and maintenance team can take measures to implement proactive maintenance before the problem occurs. In addition, in order to more accurately predict the equipment status, environmental factors and changes in equipment load must also be considered, which can be achieved by introducing exogenous variables X(t). Therefore, the extended autoregressive moving average model (ie, ARMAX model) can be expressed as:

[0071]

[0072] In this way, the ARMAX model not only considers the historical operating data of the equipment itself, but also integrates the influence of external environmental factors to more accurately predict the future status of the equipment. Using this model to monitor and analyze the status of equipment in real time, potential problems can be discovered in a timely manner, and preventive maintenance can be performed before problems occur, which greatly improves the reliability and efficiency of power near-field operation and maintenance, significantly reduces maintenance costs, and improves the stability and security of power supply.

[0073] The other parts of this embodiment are the same as any one of the above embodiments 1-3, so they are not repeated here.

[0074] Embodiment 5:

[0075] This embodiment is further optimized on the basis of any one of the above embodiments 1-4. By setting the maintenance reminder time and maintenance plan in the maintenance module, the maintenance information of the power equipment can be optimized. This includes setting the maintenance plan preparation, maintenance personnel management, maintenance plan update, maintenance plan approval, etc. The maintenance reminder can be automatically generated through the maintenance plan, and the maintenance personnel can also manually enter it in the public platform on the smart mobile terminal. The purpose of the maintenance reminder is to allow the maintenance personnel to perform maintenance operations on the equipment in a timely manner. The functions mainly include setting reminder strategies, reminder strategy management, and maintenance reminder viewing. Setting the maintenance reminder time and maintenance plan can remind the maintenance personnel at the specified time based on the preset reminder strategy to prevent the maintenance personnel from forgetting to perform maintenance operations on the equipment.

[0076] The other parts of this embodiment are the same as any one of the above embodiments 1-4, so they are not repeated here.

[0077] Embodiment 6:

[0078] The present invention also provides an electronic device, which includes a processor and a memory; the processor includes the open source power Hongmeng system recorded above.

[0079] Embodiment 7:

[0080] The present invention also provides a computer-readable storage medium, which includes instructions; when the instructions are executed on the electronic device described in the above embodiment, the electronic device executes the method described in the above embodiment. Optionally, the computer-readable storage medium may be a memory.

[0081] The processor involved in the embodiments of the present application may be a chip. For example, it may be a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on chip (SoC), a central processor unit (CPU), a network processor (NP), a digital signal processor (DSP), a microcontroller unit (MCU), a programmable logic device (PLD), or other integrated chips.

[0082] The memory involved in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0083] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0084] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0085] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, power equipment and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0086] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0087] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one device or distributed on multiple devices. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0088] In addition, each functional module in each embodiment of the present application may be integrated into one device, or each module may exist physically separately, or two or more modules may be integrated into one device.

[0089] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loading and executing a computer program instruction on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable power equipment. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or may contain one or more servers, data centers and other data storage devices that can be integrated with a medium. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)).

[0090] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification or equivalent change made to the above embodiment based on the technical essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for optimizing power near-field operation and maintenance based on open source Hongmeng, characterized in that: The following steps are involved: Step S1, collecting power data of power equipment; Step S2, encode the power equipment in the power data, generate a unique identity QR code for the power equipment, and store it in the power equipment information ledger of the open source Hongmeng power system; Step S3, identifying the identity mark QR code in the power equipment information ledger in combination with the QR code image recognition and correction algorithm and entering and filling in the information; Step S4, monitoring the power data in real time on the power big data processing platform according to a time series analysis algorithm, and generating a predictive maintenance strategy; Step S5, optimizing power near-field operation and maintenance in combination with the predictive maintenance strategy.

2. According to claim 1, a method for optimizing power near-field operation and maintenance based on open source Hongmeng is characterized in that: The step S1 includes: The power equipment includes power distribution rooms, operation and maintenance terminals and other equipment in substations; The power data includes data of operation and maintenance terminals and other equipment in distribution rooms and substations.

3. According to claim 1, a method for optimizing power near-field operation and maintenance based on open source Hongmeng is characterized in that: The step S2 comprises: According to the basic data information of the electric equipment, and based on the equipment identification code information of the electric equipment, encoding is performed to generate a unique identity mark QR code of the electric equipment; The basic data information of the electric power equipment includes information about the unit to which it belongs, name information, number information, and type information.

4. According to claim 1, a method for optimizing power near-field operation and maintenance based on open source Hongmeng is characterized in that: The calculation method of the two-dimensional code image recognition correction algorithm in step S3 includes: In the two-dimensional code image recognition correction algorithm, let (x, y) be the forward-shot image under good environmental conditions, (u, v) be the oblique-shot image under bad conditions, Z be the original matrix, and M be the transformation matrix. The general transformation algorithm is as follows: Among them, a 11 Represents the first row and first column in the matrix. Similarly, a 12 ...a 33 The elements in three rows and three columns in the matrix are solved and normalized to obtain the optimized transformation formula, which is expressed as: By optimizing the parameters in the transformation formula, the scanning results are improved, the identity QR code of the power equipment is accurately identified, and relevant information is retrieved.

5. According to a method for optimizing power near-field operation and maintenance based on open source Hongmeng according to claim 1, it is characterized in that: The method for entering and filling in information in the power equipment information ledger in step S3 includes: For the power equipment that has been put into operation, an equipment identification code shall be generated once in the power equipment information ledger; for the newly added power equipment, it shall be entered into the power equipment information ledger through on-site collection.

6. According to a method for optimizing power near-field operation and maintenance based on open source Hongmeng according to claim 1, it is characterized in that: The step S4 comprises: It is assumed that the operating state of the power equipment can be represented as a time series Y(t), where t represents time, and the time series is obtained in real time through various sensors; Using an autoregressive moving average model in the time series analysis algorithm to analyze the power data in the time series, and obtaining parameter data of the time series; predicting the future state of the power equipment based on the parameter data of the time series; A warning threshold is set. When the predicted future state of the power equipment exceeds the warning threshold, it indicates that the power equipment has the risk of failure or performance degradation. A predictive maintenance strategy is generated based on the future state of the electrical equipment.

7. According to claim 6, a method for optimizing power near-field operation and maintenance based on open source Hongmeng is characterized in that: The step S4 further comprises: The autoregressive moving average model is expanded by introducing exogenous variables in the time series analysis algorithm to further predict the future state of the power equipment.

8. According to claim 1, a method for optimizing power near-field operation and maintenance based on open source Hongmeng is characterized in that: Optimizing the near-field operation and maintenance of electric power in step S5 includes: Setting maintenance reminder time and maintenance plan according to the maintenance strategy in the predictive maintenance strategy to optimize the maintenance of the power equipment in the power near field; According to the communication strategy in the predictive maintenance strategy, various wireless communication methods are used to perform non-sensing connections such as self-discovery, self-handshake, self-organizing networking, and data interconnection between the power equipment.

9. An electronic device, characterized in that: Comprising a processor and a memory; the processor includes the open source electric power Hongmeng system as described in claim 1.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes instructions; when the instructions are executed on the electronic device as claimed in claim 9, the electronic device is caused to execute the method as claimed in any one of claims 1-8.

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