Electric power mobile operation digital system and working method

Abstract

The invention relates to an electric power mobile operation digital system and a working method. The system comprises a mobile operation terminal carrying an electric power gap OS kernel, a distributed soft bus protocol stack and an equipment management module. A radio frequency identification module is arranged in the mobile operation terminal and is used for interacting with power equipment to obtain equipment information; the distributed soft bus protocol stack comprises a protocol self-adaptive conversion engine, and the protocol self-adaptive conversion engine comprises a protocol characteristic olfactory masking unit, a dynamic analyzer and a real-time conversion channel; the protocol feature olfactory masking unit automatically determines a protocol type through equipment information identification, the dynamic analyzer loads a corresponding protocol template according to an equipment feature code, and the real-time conversion channel generates a communication channel according to the protocol type and the protocol template to communicate with corresponding power equipment; and the equipment management module is used for generating equipment analysis information according to real-time data obtained by communication with the power equipment, and generating a processing work order according to the equipment analysis information.

Description

Technical Field

[0001] The present invention relates to a digital system and working method for electric mobile operation, belonging to the technical field of electric power automation. Background Art

[0002] Currently, there are a large number of devices of different types and manufacturers in the power system. These devices use different communication protocols, such as IEC 61850, Modbus, DL / T 645, etc., which leads to severe challenges in system integration and data interoperability.

[0003] Chinese invention patent publication number CN115134385A discloses a custom network system supporting the interconnection of all things. This system uses adaptive adapters to identify and convert the communication protocols of execution terminals, enabling adaptive communication between the execution terminals and a central control platform. However, this system still lacks deep adaptation and real-time performance for power-specific protocols, making it difficult to meet the complex and ever-changing communication needs of power plants. Summary of the Invention

[0004] In order to solve the problems existing in the above-mentioned prior art, the present invention proposes a digital system and working method for electric mobile operations to solve the problems in the existing electric Internet of Things system caused by the wide variety of devices, complex and non-uniform protocols, which lead to complex and costly data sharing and system deployment and operation, and realize automatic matching of device connections, adaptive conversion of communication protocols and intelligent management of the system.

[0005] The technical solutions of the present invention are as follows:

[0006] On the one hand, the present invention proposes a digital system for mobile power operations, including a mobile operation terminal equipped with the power Hongmeng OS kernel, a distributed soft bus protocol stack, and a device management module;

[0007] The mobile operation terminal is provided with a radio frequency identification module for interacting with the power equipment to obtain equipment information;

[0008] The distributed soft bus protocol stack includes a protocol adaptive conversion engine, which includes a protocol feature sniffing and masking unit, a dynamic parser, and a real-time conversion channel; the protocol feature sniffing and masking unit automatically determines the protocol type through device information identification, the dynamic parser loads the corresponding protocol template according to the device feature code, and the real-time conversion channel generates a communication channel based on the protocol type and protocol template to communicate with the corresponding power device;

[0009] The device management module is used to generate device analysis information based on real-time data obtained through communication with the power equipment, and to generate a processing work order based on the device analysis information.

[0010] As a preferred embodiment, the mobile operation terminal is also provided with an infrared thermal imaging sensor, an image acquisition device and a national secret security chip; the infrared thermal imaging sensor and the image acquisition device are used to collect infrared thermal images and visible light images of the power equipment respectively, and the national secret security chip is used to encrypt the real-time data obtained through communication.

[0011] As a preferred embodiment, the equipment management module is further provided with a defect recognition unit, which is used to obtain infrared thermal images and visible light images of the power equipment, input them into a pre-trained defect recognition model, and output equipment defect recognition results.

[0012] As a preferred embodiment, the device management module is further provided with a work order management unit for dynamically calculating the work order processing priority according to the device information and the work order creation information.

[0013] As a preferred embodiment, the equipment management module is further provided with a resource scheduling optimization unit for allocating work orders based on the spatiotemporal correlation among the generated multiple work orders, the matching degree of personnel skills and the equipment information.

[0014] As a preferred embodiment, the distributed soft bus protocol stack further includes a streaming data compression module, which uses a DEFLATE algorithm to compress the real-time data obtained during communication.

[0015] On the other hand, the present invention also provides a working method of a digital system for electric mobile operations, comprising the following steps:

[0016] Carry the mobile operation terminal close to the target power equipment and read the equipment information of the target power equipment through the radio frequency identification module;

[0017] Based on the equipment information, the mobile operation terminal establishes a communication channel with the target power equipment through the distributed soft bus protocol stack;

[0018] After the communication channel is generated, the mobile operation terminal communicates with the power equipment to obtain real-time data and uploads it to the equipment management module. The equipment management module generates equipment analysis information and processes work orders and returns them to the mobile operation terminal.

[0019] On the other hand, the present invention also proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the operating method of the electric mobile operation digitalization system as described in any embodiment of the present invention is implemented.

[0020] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the working method of the electric mobile operation digital system as described in any embodiment of the present invention.

[0021] The present invention realizes automatic matching of device connections and adaptive conversion of communication protocols through a mobile operation terminal equipped with a customized electric power Hongmeng OS and a distributed soft bus protocol stack, solving the problems of a wide variety of devices, complex and non-uniform protocols in the existing technology, greatly simplifying the data sharing and system deployment and operation process, and reducing the system construction and maintenance costs.

[0022] Additional aspects and advantages of the present invention will be set forth in the following description, and some of them will be obvious from the description, or may be learned by practicing the present invention. In addition, the various aspects and advantages of the present invention may be realized and obtained by the method steps and combinations particularly pointed out in the appended claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a schematic diagram of the system structure of the first embodiment of the present invention;

[0024] Figure 2 This is a schematic diagram of the method flow of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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.

[0026] It should be understood that the step numbers used herein are only for convenience of description and are not intended to limit the order in which the steps are to be executed.

[0027] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0028] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0029] The term "and / or" refers to and includes any and all possible combinations of one or more of the associated listed items.

[0030] Example 1:

[0031] See also Figure 1 This embodiment proposes a digital system for electric mobile operations, including a mobile operation terminal equipped with the electric Hongmeng OS kernel, a distributed soft bus protocol stack and a device management module.

[0032] Among them, the mobile operation terminal is equipped with a radio frequency identification module for interacting with power equipment to obtain equipment information; the terminal body adopts an IP68 protection level design, can withstand a drop from a height of 1.5 meters, and has an operating temperature range of -20°C to 60°C, meeting the requirements of the harsh environment of the power site.

[0033] Specifically, the RFID module supports dual-band identification at 13.56MHz high frequency and 900MHz ultra-high frequency, with a read range of up to 3 meters and the ability to simultaneously identify up to 50 tags. The module utilizes a directional antenna design, improving recognition accuracy in metallic environments. It supports multiple standard protocols, including ISO 14443A / B, ISO 15693, and EPC Gen2, enabling rapid identification and information collection of substation equipment.

[0034] The power-focused HarmonyOS kernel is deeply customized based on the open-source HarmonyOS system and specifically optimized for the power industry. It includes a power equipment driver library, a power data model, and a security reinforcement framework. The system kernel utilizes a microkernel architecture, supports real-time scheduling, and has an interrupt response time of less than 5 microseconds, meeting the real-time requirements of power plants. The system integrates a dedicated power app store, offering specialized applications for equipment inspection, fault diagnosis, and emergency response, and supports remote push updates.

[0035] The distributed soft bus protocol stack includes a protocol adaptive conversion engine, which includes a protocol feature sniffing and masking unit, a dynamic parser and a real-time conversion channel; the protocol feature sniffing and masking unit automatically determines the protocol type through device information identification, the dynamic parser loads the corresponding protocol template according to the device feature code, and the real-time conversion channel generates a communication channel according to the protocol type and protocol template to communicate with the corresponding power equipment.

[0036] In some embodiments, the protocol feature sniffing unit automatically determines the protocol type by identifying the first byte pattern of the message, uses a feature code matching algorithm to perform pattern matching on the first 8 bytes of the received data packet, and compares it with the built-in protocol feature library to determine the protocol type.

[0037] In some embodiments, the protocol feature sniffing unit uses a deep learning enhanced feature recognition algorithm to extract message features through a convolutional neural network.

[0038] In some embodiments, the dynamic parser loads the corresponding protocol template according to the device feature code, has built-in protocol parsing templates for more than 500 types of power equipment, supports hot updates of templates, and can adapt to protocol changes brought about by device firmware upgrades.

[0039] In some embodiments, the dynamic parser is provided with a self-learning function, which can automatically construct a temporary parsing template by analyzing the communication mode of an unknown protocol, and add it to the protocol template library after verification in the cloud.

[0040] In some implementations, the real-time conversion channel implements mapping conversion of data fields between multiple protocols, and uses zero-copy technology to reduce data transmission overhead, supports a maximum data throughput of 100Mbps, and can simultaneously process up to 32 protocol conversion tasks.

[0041] In some implementations, the real-time conversion channel is configured with an optimized memory management mechanism and a flow control function to prevent protocol storms from causing system overload.

[0042] The device management module is used to generate device analysis information based on real-time data obtained through communication with the power equipment, and to generate a processing work order based on the device analysis information.

[0043] As a preferred implementation of this embodiment, the mobile operation terminal is also provided with an infrared thermal imaging sensor, an image acquisition device and a national secret security chip.

[0044] The infrared thermal imaging sensor and image acquisition device are used to collect infrared thermal images and visible light images of power equipment, respectively. The infrared thermal imaging sensor uses an uncooled vanadium oxide microbolometer, capable of detecting thermal anomalies in the temperature range of -20°C to 650°C. The sensor integrates an automatic temperature calibration algorithm and performs zero drift compensation every 60 seconds to ensure temperature measurement accuracy during long-term operation.

[0045] The national secret security chip is used to encrypt real-time data acquired during communications. It utilizes the SM2 / SM3 / SM4 algorithm suite, supports 256-bit elliptic curve cryptography, and features a built-in true random number generator (TRNG) with differential power analysis resistance reaching 10^6. The chip also features a tamper-resistant design that automatically erases key material upon detecting physical intrusion, ensuring secure transmission and storage of power data.

[0046] In some embodiments, the mobile operating terminal is also equipped with an electromagnetic compatibility enhancement circuit, which includes a three-level electromagnetic shielding structure: a conductive rubber liner, a metallized ceramic coating, a permalloy inner shell, and a dynamic impedance matching network. The conductive rubber liner is made of silver powder-filled silicone rubber material, with a shielding effectiveness greater than 60dB at a frequency of 100MHz. The metallized ceramic coating is a copper-nickel double-layer sputtering process with a coating thickness of 15 microns and an adhesion greater than 15N / mm. 2 , with a surface resistance of less than 0.05Ω / □. The Permalloy inner shell is made of an 80% nickel-20% iron alloy, is 0.5mm thick, has an initial magnetic permeability μi greater than 80,000, and a saturation magnetic induction intensity Bs of 0.8 Tesla, providing excellent shielding against low-frequency magnetic fields. The dynamic impedance matching network, consisting of a variable inductor, variable capacitor, and a microcontroller, dynamically adjusts the matching network parameters by real-time monitoring of input signal characteristics, ensuring a stable input impedance within the range of 50±5Ω within the 10kHz-1GHz frequency band. This effectively suppresses electromagnetic interference and improves the reliability of the mobile terminal in strong electromagnetic environments.

[0047] As a preferred implementation of this embodiment, a defect recognition unit is also provided in the equipment management module. The defect recognition unit is used to obtain infrared thermal images and visible light images of the power equipment, and input them into a pre-trained defect recognition model to output equipment defect recognition results. The pre-trained defect recognition model can adopt a YOLOv7 model.

[0048] As a preferred implementation of this embodiment, the device management module is further provided with a work order management unit for dynamically calculating the work order processing priority based on the device information and the work order creation information. Specifically, the work order management unit involves a dynamic calculation model of the work order priority, which is represented by the company as follows:

[0049] Priority = 0.4 Fault Level +0.3·e (-t / T) +0.3 Resource Utilization

[0050] Among them, Priority represents the calculated work order priority characteristic value, Fault Level Indicates the fault level, which is divided into 5 levels (0-1). The larger the value, the more serious the fault. t represents the retention time of the work order from its creation to the current time, in hours. T is the preset time constant, which is set according to different work order types and generally ranges from 4 to 24 hours. Utilization Indicates resource utilization, with a value range of 0-1, reflecting the availability of resources required to execute the work order.

[0051] The above model comprehensively considers the severity of the fault, timeliness, and resource utilization efficiency in a weighted manner to calculate the work order priority. The value range is 0-1, and a larger value indicates a higher priority.

[0052] As a preferred implementation of this embodiment, the device management module is further provided with a resource scheduling optimization unit for allocating work orders based on the spatiotemporal correlations among the generated work orders, the matching of personnel skills, and the equipment information. Specifically, the resource scheduling optimization unit transforms the work order allocation problem into an optimization problem and solves it using a quantum annealing algorithm. The optimization objective is:

[0053] min(∑ i w i x i x+∑ i c i x i );

[0054] Among them, w i represents the association weight between work order i and work order j, x i and x represent the decision variables of work order i and work order j respectively, c i is the linear weight coefficient of work order i.

[0055] This optimization objective takes into account the spatiotemporal correlation between work orders, the matching of personnel skills, and the constraints of equipment availability. It is solved using a D-Wave quantum computer or quantum simulator. Compared with traditional genetic algorithms, the optimization efficiency and resource utilization of scheduling schemes are improved.

[0056] As a preferred implementation of this embodiment, the distributed soft bus protocol stack also includes a streaming data compression module that uses the DEFLATE algorithm to compress real-time data acquired during communication. The DEFLATE algorithm supports a hierarchical compression strategy, automatically adjusting the compression level based on data importance and network conditions, prioritizing the transmission of critical data in bandwidth-constrained situations.

[0057] Example 2:

[0058] This embodiment provides a working method for the power mobile operation digital system in the first embodiment, including the following steps:

[0059] S100: Bring the mobile operating terminal close to the target power equipment and read the target power equipment's device information through the radio frequency identification module. When the mobile operating terminal approaches the power equipment, the radio frequency identification module detects the RFID tag on the equipment and automatically activates the relevant application. The RFID tag stores information such as the device's unique identification code, device signature code, and communication protocol type.

[0060] S200, the mobile operation terminal, establishes a communication channel with the target power equipment via the distributed soft bus protocol stack based on the device information. The distributed soft bus automatically selects the appropriate protocol adapter, such as IEC 61850, Modbus, or DL / T 645, based on the protocol type information provided by the RFID tag. The protocol signature sniffing unit of the protocol adaptive conversion engine analyzes the first data packet returned by the device to confirm the actual protocol version and features. The dynamic parser loads the corresponding parsing template from the protocol template library based on the device signature code.

[0061] S300: After the communication channel is generated, the mobile operation terminal communicates with the power equipment to obtain real-time data and uploads it to the equipment management module. The equipment management module generates equipment analysis information and processes a work order and returns it to the mobile operation terminal.

[0062] For example, the mobile operation terminal uses an infrared thermal imaging sensor to perform thermal imaging scans on the template power equipment and collect temperature distribution data. The system calculates the difference ΔT between the highest temperature point on the equipment surface and the ambient temperature. The normal value range is 5°C-40°C. Exceeding this range indicates a possible overheating fault. At the same time, the mobile operation terminal obtains the electromagnetic characteristics of the equipment in real time through the communication channel and extracts the main frequency component f max (usually in the range of 50Hz-2kHz), electromagnetic radiation standard deviation σ e □ (reflects the stability of radiation intensity) and voltage total harmonic distortion rate THD v (Normal values ​​should be less than 5%). These four parameters together constitute the equipment health status vector H, which comprehensively reflects the thermal state and electrical characteristics of the template power equipment. The data collection process lasts 15-30 seconds, with a sampling frequency of 10Hz to ensure the representativeness and reliability of the data.

[0063] The device management module compares the currently received health state vector H with the historical benchmark data H0 of the device and calculates the health state degradation degree:

[0064] δH=||H-H0|| / ||H0||

[0065] That is, the normalized Euclidean distance between the current health state vector and the baseline health state vector. The equipment management module sets three thresholds: 0.15 (minor abnormality), 0.3 (moderate abnormality) and 0.5 (serious abnormality). When δH exceeds the corresponding threshold, the equipment management module automatically generates an early warning work order of the corresponding level according to the degree of abnormality. The work order contains basic equipment information, abnormal parameter details, historical maintenance records and preliminary diagnostic suggestions. In addition, the equipment management module uses a dynamic calculation model for work order priority to determine the work order priority and push the work order to the mobile operation terminal for processing. For serious abnormalities, the equipment management module will also trigger SMS and application push notifications to ensure that maintenance personnel can respond in a timely manner.

[0066] Example 3:

[0067] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the operating method of the electric mobile operation digital system as described in any embodiment of the present invention is implemented.

[0068] Example 4:

[0069] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the operating method of the electric mobile operation digital system as described in any embodiment of the present invention is implemented.

[0070] In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can represent: a, b, c, a and b, a and c, b and c or a and b and c, where a, b, c can be single or multiple.

[0071] Those skilled in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented using a combination of electronic hardware, 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. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0072] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0073] In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), magnetic disk or optical disk, and other media that can store program code.

[0074] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention's description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A digital system for electric mobile operations, characterized by: It includes a mobile operation terminal equipped with the Hongmeng OS kernel for electric power, a distributed soft bus protocol stack, and a device management module; The mobile operation terminal is provided with a radio frequency identification module for interacting with the power equipment to obtain equipment information; The distributed soft bus protocol stack includes a protocol adaptive conversion engine, which includes a protocol feature sniffing and masking unit, a dynamic parser, and a real-time conversion channel; the protocol feature sniffing and masking unit automatically determines the protocol type through device information identification, the dynamic parser loads the corresponding protocol template according to the device feature code, and the real-time conversion channel generates a communication channel based on the protocol type and protocol template to communicate with the corresponding power device; The device management module is used to generate device analysis information based on real-time data obtained through communication with the power equipment, and to generate a processing work order based on the device analysis information.

2. The electric mobile operation digital system according to claim 1, characterized in that: The mobile operation terminal is also provided with an infrared thermal imaging sensor, an image acquisition device and a national secret security chip; the infrared thermal imaging sensor and image acquisition device are used to collect infrared thermal images and visible light images of power equipment respectively, and the national secret security chip is used to encrypt real-time data obtained through communication.

3. The electric mobile operation digital system according to claim 1, characterized in that: The equipment management module is also provided with a defect recognition unit, which is used to obtain infrared thermal images and visible light images of the power equipment, input them into a pre-trained defect recognition model, and output equipment defect recognition results.

4. The electric mobile operation digital system according to claim 1, characterized in that: The device management module is also provided with a work order management unit for dynamically calculating the work order processing priority based on the device information and the work order creation information.

5. The electric mobile operation digital system according to claim 1, characterized in that: The equipment management module is also provided with a resource scheduling optimization unit for allocating work orders based on the temporal and spatial correlations among the generated multiple work orders, the matching of personnel skills and the equipment information.

6. The electric mobile operation digital system according to claim 1, characterized in that: The distributed soft bus protocol stack further includes a streaming data compression module, which uses a DEFLATE algorithm to compress the real-time data acquired during communication.

7. A method for operating a digital power mobile operation system according to any one of claims 1 to 6, characterized in that: The following steps are involved: Carry the mobile operation terminal close to the target power equipment and read the equipment information of the target power equipment through the radio frequency identification module; Based on the equipment information, the mobile operation terminal establishes a communication channel with the target power equipment through the distributed soft bus protocol stack; After the communication channel is generated, the mobile operation terminal communicates with the power equipment to obtain real-time data and uploads it to the equipment management module. The equipment management module generates equipment analysis information and processes work orders and returns them to the mobile operation terminal.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the operating method of the electric mobile operation digital system according to claim 7 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the operating method of the electric mobile operation digital system as claimed in claim 7 is implemented.

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