CN-122017340-A - Intelligent management electric energy metering box with multiple safety protection and metering method

CN122017340ACN 122017340 ACN122017340 ACN 122017340ACN-122017340-A

Abstract

The invention provides an intelligent management electric energy metering box with multiple safety protection and a metering method. Belongs to the technical field of intelligent power grid and electricity consumption information acquisition. The method comprises the steps of carrying out double-channel electricity larceny prevention sensing network deployment based on the physical structure of a novel standard metering box of a national network to generate electricity larceny prevention sensing layout data, integrating a current abnormality detection sensor and a magnetic field disturbance monitoring sensor according to the electricity larceny prevention sensing layout data to construct a double-channel electricity larceny prevention behavior sensing network, and remarkably improving the safety and reliability of electric energy metering through integrating double-channel electricity larceny prevention sensing, multi-parameter edge monitoring, light AI diagnosis, block chain storage and active operation and maintenance strategies.

Inventors

YU ZHE
FEI GUIHUAI
ZHU JIANBO
YANG YULE

Assignees

深圳市先行电气技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260210

Claims (10)

1. An intelligent management electric energy metering method with multiple safety protection, which is characterized by comprising the following steps: s1, based on the physical structure of a novel standard metering box of a national network, carrying out double-channel electricity larceny prevention sensing network deployment to generate electricity larceny prevention sensing layout data; S2, carrying out multi-parameter edge monitoring node configuration according to a dual-channel electricity stealing behavior sensing network, collecting multi-source data and generating multi-source electrical parameter monitoring data; S3, loading a lightweight AI diagnosis model based on the structured edge monitoring data, carrying out electricity stealing behavior pattern recognition and real-time diagnosis on electrical hidden danger, and generating electricity stealing risk early warning data and equipment health state evaluation data; S4, encrypting and storing the four-level early warning instruction set through the blockchain node to generate an early warning event chain which cannot be tampered; S5, executing an active operation and maintenance strategy according to the analysis result of the early warning event chain and the cloud management platform to generate a dynamic operation and maintenance task work order; S6, based on operation and maintenance effect data fed back by the dynamic operation and maintenance task work order, iteratively optimizing the parameters of the lightweight AI diagnosis model and the blockchain certification strategy to form a self-adaptive safety protection closed-loop system, and continuously enhancing the safety defense capacity and operation and maintenance efficiency of the electric energy metering device.
2. The method for intelligently managing electric energy metering with multiple safety protection according to claim 1, wherein the step S1 comprises: s11, analyzing the space layout of the SMC/PC+ABS nonmetallic box body, and determining the installation position and distribution rule of core components; S12, screening current abnormality detection sensors and magnetic field disturbance monitoring sensors which are adapted to different rated current ranges of the metering box, planning installation intervals and fixing modes of the sensors, the isolating switch and the miniature circuit breaker, and ensuring that original electrical connection and heat dissipation of the metering box are not influenced; s13, performing parameter calibration on the two sensors to enable the detection precision to be matched with the operation parameter interval of the metering box, and eliminating errors caused by electromagnetic interference of the nonmetallic box body; S14, integrating and installing the calibrated sensor according to layout data to form a dual-channel electricity stealing behavior sensing network covering a critical area of the box body.
3. The method for intelligently managing power metering with multiple safety guards according to claim 1, wherein S2 comprises: s21, aiming at key components in the metering box, deploying multi-parameter edge monitoring nodes, synchronously collecting current, voltage, temperature, partial discharge and arc characteristic signals through the edge monitoring nodes, and summarizing to form multi-source electrical parameter monitoring data; S22, processing the acquired data by adopting a digital filtering algorithm, and eliminating invalid information generated by box body vibration and environmental electromagnetic interference; S23, extracting core characteristic quantities related to electricity stealing behaviors and equipment faults from the data; S24, time axis alignment is carried out on time sequence data of different monitoring nodes, data acquisition frequency and format standards are unified, and the filtered data and core feature quantity are integrated to generate structured edge monitoring data.
4. The method for intelligently managing power metering with multiple safety guards according to claim 1, wherein S3 comprises: s31, loading a lightweight AI diagnostic model adapting to the operation scene of the metering box, and importing historical operation data and fault cases of metering boxes of different types; S32, the model learns the change rule of the electric parameters corresponding to different electricity stealing behaviors through deep learning, synchronously learns the characteristic expression of common hidden danger, and perfects diagnostic logic; s33, inputting the structured edge monitoring data into a model, and calculating to generate electricity stealing risk early warning data and equipment health state evaluation data; S34, carrying out grading judgment on the early warning data and the evaluation data according to the threshold value, and generating a four-level early warning instruction set, wherein the four-level early warning instruction set comprises treatment priority.
5. The method for intelligently managing power metering with multiple safety guards according to claim 1, wherein S4 comprises: s41, distributing a four-level early warning instruction set to distributed blockchain nodes according to the time stamp sequence, wherein the blockchain nodes encrypt the instruction set by adopting an asymmetric encryption algorithm to generate an encrypted data packet which cannot be tampered with; S42, encrypting data of all nodes in series to form a continuous and traceable early warning event chain, and recording early warning occurrence time, grade and associated monitoring data; S43, extracting core information directly related to metering precision and equipment state from the structured edge monitoring data, and eliminating redundant data; S44, synchronously uploading core information to a cloud management platform according to a preset transmission protocol and a data format, so as to ensure data transmission stability; S45, constructing a real-time communication link of the edge monitoring node and the cloud management platform, integrating data flow paths of end side acquisition, side processing and cloud analysis, and constructing end, side and cloud collaborative data flows.
6. The method for intelligently managing power metering with multiple safety guards according to claim 5, wherein S41 comprises: S411, arranging a four-level early warning instruction set, extracting the generation time information of each instruction, and sequencing according to the time stamp sequence; S412, analyzing the current load state of each node of the distributed block chain, and distributing the ordered instruction set according to a load balancing principle; S413, receiving corresponding instructions by all block chain link points, checking the instruction identification codes and the integrity of the content, and eliminating damaged data; S414, starting an asymmetric encryption algorithm by the nodes, carrying out encryption operation on the verified instructions, converting the encrypted instructions into a ciphertext form, and summarizing single instruction ciphertext encrypted by each node to integrate the single instruction ciphertext to form an encrypted data packet.
7. The method for intelligently managing power metering with multiple security protections as set forth in claim 6, wherein said S412 comprises: Collecting real-time operation data of each node of the distributed block chain, and generating a node load state data set; Based on the load state data set, calculating the current load pressure value of each node, and setting a load balancing reference threshold value; Comparing the load pressure value of each node with a reference threshold value, and dividing three types of node grades of light load, medium load and heavy load; counting the single instruction data quantity and processing complexity of the ordered instruction set, and marking the load requirement of each instruction; Matching the instruction load demands with the node grades, and formulating a distribution rule for distributing heavy load instructions to light load nodes and medium load instructions to medium load nodes; planning data transmission paths among nodes, avoiding transmission channels of heavy load nodes, and accurately distributing ordered instruction sets to corresponding block chain nodes according to rules.
8. The method for intelligently managing power metering with multiple safety guards according to claim 1, wherein S5 comprises: S51, a cloud management platform receives an early warning event chain and structured edge monitoring data, and comprehensively analyzes by combining historical operation and maintenance records and model characteristics of the metering box; s52, aiming at heavier and higher-grade electricity stealing risks, automatically triggering a remote control signal, controlling the isolating switch to switch on and off, and cutting off an illegal electricity utilization loop; s53, the hidden danger of the equipment is docked, an early warning prompt is generated, the aging residual life of the equipment is predicted based on the operation data of the transformer, the switching action frequency and the temperature change trend, and the parts to be replaced are marked in advance; s54, determining the execution priority and operation flow of each operation and maintenance task according to the risk level, the equipment importance and the operation and maintenance resource condition; S55, integrating the remote control instruction, the hidden danger early warning prompt, the life prediction result and the operation and maintenance priority to generate a dynamic operation and maintenance task work order.
9. The method for intelligently managing power metering with multiple safety guards according to claim 1, wherein S6 comprises: S61, collecting execution effect data fed back by a dynamic operation and maintenance task work order, comparing monitoring data before and after operation and maintenance, and analyzing deviation rate, omission rate and misjudgment rate of a lightweight AI diagnostic model in electricity larceny identification and hidden danger judgment; s62, adjusting internal algorithm parameters of the model based on analysis results, optimizing feature recognition weights of electricity stealing behaviors and hidden equipment hazards, and optimizing encryption algorithm and data synchronization frequency of block chain nodes; And S63, adjusting a risk assessment threshold and an early warning grading standard by combining the actual operation and maintenance effect to enable the early warning instruction to be more fit with the on-site operation and maintenance requirement, and integrating a model parameter optimization result, a blockchain storage strategy adjustment scheme and a threshold revision standard to form the self-adaptive safety protection closed-loop system.
10. A batch meter for implementing the intelligent power metering method with multiple safety guards according to claim 1, wherein the batch meter comprises: The network deployment module is used for carrying out double-channel electricity larceny prevention sensing network deployment based on the physical structure of the national network new standard metering box to generate electricity larceny prevention sensing layout data; The data acquisition module is used for carrying out multi-parameter edge monitoring node configuration according to the dual-channel electricity stealing behavior sensing network, acquiring multi-source data and generating multi-source electric parameter monitoring data; The grading module is used for loading a lightweight AI diagnosis model based on the structured edge monitoring data, carrying out electricity stealing behavior pattern recognition and real-time diagnosis on the electrical hidden danger, generating electricity stealing risk early warning data and equipment health state evaluation data; the platform management module is used for encrypting and storing the four-level early warning instruction set through the blockchain node to generate an early warning event chain which cannot be tampered with; the dynamic operation and maintenance module executes an active operation and maintenance strategy according to the analysis result of the early warning event chain and the cloud management platform to generate a dynamic operation and maintenance task work order; And the security defense module is used for iteratively optimizing the parameters of the lightweight AI diagnostic model and the blockchain certification strategy based on the operation and maintenance effect data fed back by the dynamic operation and maintenance task work order to form a self-adaptive security protection closed loop system, and continuously enhancing the security defense capacity and operation and maintenance efficiency of the electric energy metering device.

Description

Intelligent management electric energy metering box with multiple safety protection and metering method Technical Field The invention provides an intelligent management electric energy metering box with multiple safety protection and a metering method, and belongs to the technical field of intelligent power grid and electricity consumption information acquisition. Background At the moment of rapid development of smart power grids, electric energy metering is used as a core link of electric power transaction and management, and the safety and reliability of the smart power grids are directly related to stable operation of the power grids and legal rights and interests of users. However, even if the traditional electric energy metering box is designed according to a new standard of the national network, as shown in HW-SX/PX series, the traditional electric energy metering box is still single in protection dimension, mainly depends on mechanical lead sealing and a simple circuit breaker, and is difficult to effectively identify hidden means such as meter winding electricity larceny, shunt electricity larceny and the like. Meanwhile, state sensing has obvious lag, monitoring of electrical hidden troubles such as temperature rise, partial discharge, electric arc and the like depends on manual inspection, real-time early warning cannot be achieved, and operation and maintenance risks and cost are increased. In addition, the data security aspect is weak link, the collected data is transmitted in a plaintext form, and the collected data is extremely easy to be attacked by a man-in-the-middle or tampered locally, so that the authenticity and the integrity of the data are threatened. In the operation and maintenance mode, the traditional method is in a passive state, depends on user repair, and is difficult to predict gradual faults such as switch aging, connector loosening and the like, so that fault treatment is not timely, and power supply quality is affected. In view of this, the prior art needs to break through, and a novel electric energy metering method integrating physical security, electric protection, intelligent monitoring and trusted computing is constructed, so as to realize a five-dimensional protection system of 'end-side-cloud' cooperation, and improve the security, reliability and operation and maintenance efficiency of electric energy metering. Disclosure of Invention The invention provides an intelligent management electric energy metering box with multiple safety protection and a metering method, which are used for solving the problems mentioned in the background art: the invention provides a method for intelligently managing electric energy metering with multiple safety protection, which comprises the following steps: s1, based on the physical structure of a novel standard metering box of a national network, carrying out double-channel electricity larceny prevention sensing network deployment to generate electricity larceny prevention sensing layout data; S2, carrying out multi-parameter edge monitoring node configuration according to a dual-channel electricity stealing behavior sensing network, collecting multi-source data and generating multi-source electrical parameter monitoring data; S3, loading a lightweight AI diagnosis model based on the structured edge monitoring data, carrying out electricity stealing behavior pattern recognition and real-time diagnosis on electrical hidden danger, and generating electricity stealing risk early warning data and equipment health state evaluation data; S4, encrypting and storing the four-level early warning instruction set through the blockchain node to generate an early warning event chain which cannot be tampered; S5, executing an active operation and maintenance strategy according to the analysis result of the early warning event chain and the cloud management platform to generate a dynamic operation and maintenance task work order; S6, based on operation and maintenance effect data fed back by the dynamic operation and maintenance task work order, iteratively optimizing the parameters of the lightweight AI diagnosis model and the blockchain certification strategy to form a self-adaptive safety protection closed-loop system, and continuously enhancing the safety defense capacity and operation and maintenance efficiency of the electric energy metering device. The invention provides a metering box for realizing the intelligent management electric energy metering method with multiple safety protection, which comprises the following steps: The network deployment module is used for carrying out double-channel electricity larceny prevention sensing network deployment based on the physical structure of the national network new standard metering box to generate electricity larceny prevention sensing layout data; The data acquisition module is used for carrying out multi-parameter edge monitoring node configuration according to the dual-channel electricity stea