919 results about "Electricity meter" patented technology

The invention discloses an electric energy meter error real-time monitoring and intelligent calibration system and method, and relates to the technical field of electric energy meter calibration, and the system comprises a target power data calculation module which is used for collecting voltage and current signals in real time, and carrying out the calculation to obtain target power data; the reference power data calculation module is used for performing real-time calculation to obtain reference power data; the error vector acquisition module is used for acquiring an error vector; the error prediction result generation module is used for carrying out modeling analysis on the error vector and generating an error prediction result; and the target electric energy value output module is used for outputting the target electric energy value. The technical problem that the metering accuracy is insufficient due to the fact that the electric energy meter lacks an effective error analysis and prediction means and a dynamic calibration mechanism in a bidirectional power flow scene in the prior art is solved, and the purposes of real-time monitoring, error analysis and prediction and dynamic calibration of the forward and reverse power data of the electric energy meter are achieved. And the metering accuracy of the electric energy meter in a bidirectional power flow scene is improved.

The invention relates to the technical field of electric energy metering and electric power system safety, and discloses an electricity larceny prevention method and system for multi-source data fusion of an electric energy meter, and the method comprises the steps: obtaining and preprocessing current and voltage waveform data and user electricity consumption behavior data; generating multi-dimensional power consumption characteristic parameters, performing screening to form a characteristic vector set, and constructing an abnormal power consumption detection reference set; dynamically verifying power utilization data based on the reference set, and analyzing a phase relation and a mismatch state of current and voltage signals; and generating an electricity consumption behavior deviation index to judge an electricity stealing behavior. The system comprises a multi-source data acquisition module, a feature modeling analysis module, an electrical relation verification module and an electricity stealing judgment module. According to the invention, through multi-source data fusion and multi-dimensional feature analysis, accurate detection of electricity larceny behaviors is realized, accuracy and reliability of electricity larceny prevention are improved, and the method is suitable for power utilization safety management of a smart power grid.

The invention discloses an electricity meter adaptive error compensation method, system and device based on multi-physical coupling and hidden variable modeling and a storage medium, and relates to the technical field of electric energy metering and detection, and the method comprises the steps: constructing a multi-physical coupling basis vector containing a single variable and a cross variable based on a sensing output signal; hidden variable joint modeling is carried out based on the multi-physical coupling basis vector and parasitic capacitance change, magnetic conductivity drift and shunt resistance offset, and a compensation mapping relation of electromagnetic, thermal and stress coupling is formed; generating a compensation coefficient by adopting the compensation mapping relation, and applying the compensation coefficient in an ammeter metering link to complete an error compensation process; according to the method, voltage, current and phase compensation coefficients are generated through multi-physical coupling basis vector and hidden variable modeling, dynamic description and self-adaptive correction of error sources are achieved, dynamic accurate correction of voltage, current and phase is achieved, and it is ensured that the ammeter keeps high-precision metering for a long time under the complex environment and the device drift condition.

The invention relates to a single-phase load identification intelligent ammeter, which relates to the technical field of ammeters, and comprises an ammeter body, a terminal cover and a fixing piece, the ammeter body is provided with a wiring area, a display area and a drainage channel penetrating through two sides of the ammeter body, and the terminal cover is hinged on the ammeter body and covers the wiring area and the drainage channel. The fixing member is used for detachably fixing the terminal cover on the ammeter body. The plugging part is arranged on the terminal cover, the plugging groove is arranged in the wiring area, the fixing piece is taken down from the plugging part to form an air guide flow channel between the plugging part and the wiring area, and the air guide flow channel is communicated with the drainage channel. Air is supplied to the plugging part through external air supply equipment, dust removal air can be blown into the wiring area along the air guide flow channel and is discharged through the drainage channel, dust in the wiring area can be cleaned under the condition that the terminal cover is not opened, the dust removal efficiency is improved, and the maintenance risk is reduced.

The invention provides an intelligent electric energy meter service life prediction method and device and a readable storage medium, and belongs to the technical field of device service life prediction.The method comprises the steps that multi-dimensional input is constructed by fusing key environment data and an operation time sequence, and the microcosmic, periodic and long-term characteristics of the input are extracted through multi-scale convolution support; the feature combination is dynamically optimized through an adaptive fusion module; constructing a time sequence prediction model, embedding a convolution attention mechanism in an encoder, and compressing redundant information of key features by combining sparse self-attention distillation through key features of feature combination of channel-space double attention dynamic enhancement optimization; the decoder adopts a mask probability sparse attention and iterative prediction strategy to generate an error prediction sequence based on the global features of the encoder to avoid future information interference; and calculating the residual life according to the intersection point of the error prediction sequence and the failure threshold. According to the method, the long sequence prediction precision, the key feature utilization rate and the calculation efficiency are improved, and reliable support is provided for preventive maintenance of the intelligent electric meter.

The invention relates to the technical field of distribution network management, in particular to a distribution network management electricity meter state analysis method and system. According to the technical scheme, the distribution network management electricity meter state analysis method comprises the following steps that S1, multiple layers of edge computing nodes are deployed in a power distribution network, first-level nodes are deployed in a power distribution station, second-level nodes are deployed in an electricity meter concentrator, and computing resource distribution of the edge nodes is dynamically adjusted based on electricity meter distribution density and real-time loads; s2, through a collaborative acquisition mechanism of the first-level node and the second-level node, acquiring operation data of the electric meter in real time; and S3, transmitting the classified and marked data by adopting a multi-modal compression strategy: compressing the periodic monitoring data by using difference value coding, and extracting the sudden abnormal data by using a feature abstract. By constructing a multi-level edge collaborative acquisition mechanism and a 5G network slice transmission channel, the real-time bottleneck of traditional manual inspection and fixed-period acquisition is broken through.

The invention relates to the technical field of intelligent detection of power equipment, in particular to a complex illumination low-voltage electricity meter frequency sensing detection method, system and equipment and a medium, and aims to solve the problems of high-frequency noise interference, intra-class feature difference, insufficient edge end energy efficiency and the like existing in electricity meter detection in a high-brightness environment. Proposing a dynamic frequency domain compensation mechanism to suppress light noise and recover signal details, and optimizing dense scene feature consistency in combination with adaptive filtering and a multi-scale sampling strategy; the boundary fuzzy problem is solved through dynamic feature alignment and an edge compensation mechanism, and parallel acceleration of frequency domain decomposition and dynamic resampling is realized by adopting a heterogeneous hardware architecture; a multi-modal data training framework and a cross-domain transfer learning strategy are fused to enhance the generalization ability of the model; according to the invention, collaborative optimization of detection precision, real-time performance and low power consumption is realized in a complex illumination scene, and high-robustness technical support is provided for intelligent power grid inspection.

The invention provides a line loss reason analysis and positioning method and system based on artificial intelligence and a medium, and relates to the technical field of power system management.The method comprises the steps that when the bus loss rate of a target station area exceeds a preset line loss threshold value, an excitation sequence is issued to a general meter, a circuit breaker and a user electricity meter of the target station area, respectively obtaining corresponding transient response data, and further constructing a dynamic topological graph of the target transformer area; and a topological structure is optimized by combining a graph neural network and an attention mechanism, and abnormal connection points are detected. And determining downstream associated user electric meters, and calculating the power utilization abnormity score based on the load data. And injecting a steep front traveling wave signal into the electric meter with the highest score to obtain a reflection characteristic parameter. And performing iterative analysis by using a Double DQN reinforcement learning algorithm, determining a fault point, a line loss reason type and confidence, and realizing efficient and accurate line loss reason positioning and analysis. According to the invention, efficient and accurate troubleshooting of line loss reasons is realized.

The invention discloses an electric meter historical data restoration method based on a multi-dimensional incidence relation, and relates to the technical field of electric power data management and intelligent restoration, the accuracy and traceability of data restoration are realized by establishing a multi-source exception type library and an element time-varying degradation model, and the accuracy and traceability of data restoration are improved for multi-source data conflicts. The method comprises the following steps: pre-defining a plurality of abnormal mode combinations and corresponding repair strategies, positioning a fault source through mode matching of a real-time index and an abnormal type library, selecting reference data in combination with a historical average deviation rate of a target ammeter and an associated ammeter, avoiding deviation caused by single judgment, and for nonlinear degradation, firstly determining fault elements of a shunt and an ADC chip, a resistance degradation model and a conversion error model are constructed, a theoretical correction value is calculated, a result is optimized through a machine learning model trained by historical normal data, meanwhile, original readings, model parameters and calculation bases are stored in an associated mode, a traceable log is formed, and the repair accuracy is guaranteed.

The invention discloses a low-voltage distribution area topology identification method, system and device and a storage medium, and the method comprises the following steps: deploying a synchronous measurement unit in a low-voltage distribution area, and obtaining the outgoing line current phasor and voltage phasor data with a synchronous time scale of a whole network; constructing an incoming line and outgoing line current phasor set, and performing adaptive descending sorting according to amplitudes; determining that the nodes corresponding to the incoming line current phasors and the found nodes corresponding to the one or more outgoing line current phasors are in a father-son relationship, and iterating the process until all sets are empty, thereby completing the identification of the topological relationship of the power distribution side; and according to the equipment number contained in the obtained voltage phasor data, determining a meter box connected with the user electricity meters, and then clustering the user electricity meters connected to the same meter box according to the voltage phase angle to obtain the connection phase sequence of each user electricity meter. The problem of key information missing is solved from a data source, and accurate and efficient identification of topology is realized by fusing physical constraints.

The present invention provides a control method, device and equipment for a software electronic seal of a smart electricity meter, and relates to the technical field of smart electricity meters. The present invention realizes real-time monitoring and processing of electricity theft by the smart electricity meter by setting an electronic seal in a software manner in the smart electricity meter, and combining it with the event record monitoring of the smart electricity meter. When suspected electricity theft is discovered, the system sends abnormal alarm information to the monitoring center, receives instructions from the monitoring center, and processes whether the smart electricity meter is powered off, thereby realizing remote monitoring and processing of electricity theft by the smart electricity meter. The present invention solves the problem of difficulty in identifying electricity theft when threaded seals and snap-on seals are damaged or imitated through electronic seals, and can timely discover and process electricity theft.

The utility model provides an electric energy meter calibrating device comprising a calibrating box body, the calibrating box body comprises a first plate and a second plate which are arranged at intervals along a first direction, and at least one of the first plate and the second plate is provided with at least one first air port; the second air opening is formed in the plate body for connecting the first plate and the second plate; the supporting partition plate is arranged in the verification box body in the first direction, and the space in the verification box body is divided into a first cavity and a second cavity by the supporting partition plate; the plurality of direct-current circuit boards are connected with the supporting partition plate, the direct-current circuit boards are arranged in the first cavity, and at least one direct-current circuit board is provided with a first heating piece; the at least one first fan is arranged on the supporting partition plate, and the first fan and the first heating piece are oppositely arranged; and the plurality of alternating-current circuit boards are connected with the supporting partition plate and are arranged in the second cavity. According to the technical scheme, the direct current circuit board and the alternating current circuit board are arranged in a layered mode, the heat dissipation capacity of the device is remarkably improved, and the temperature of the whole system is kept stable.

The invention discloses a low-voltage distribution area wire user identification method and system based on an improved clustering algorithm, and belongs to the field of low-voltage distribution area wire user identification. According to the method, multi-dimensional information such as voltage amplitude time sequence data, current time sequence data, phase sequence information of each user, primary branch feeder data and the like of a low-voltage bus and each user electric meter in a low-voltage distribution area is comprehensively considered, so that the limitation of dependence on single voltage data is overcome; using an Euclidean distance algorithm to screen and identify head-end user electricity meters, and eliminating the interference of the head-end electricity meters on clustering; the characteristic that the DTW distance algorithm can better process the similarity measurement of the time sequence data is utilized, and the DTW distance algorithm and the clustering algorithm are combined, so that the recognition accuracy is improved; and finally, line user identification is carried out from a global angle, so that the accuracy of line user identification in the low-voltage distribution area is improved, and the problem of low accuracy of line user identification in the low-voltage distribution area caused by dependence on single data and neglect of interference of a head-end ammeter in the prior art is solved.

A meter socket adapter (MSA) for connecting a battery energy storage system (BESS) to a household microgrid through a meter combo load center. The MSA includes: a housing matching an electricity meter and a meter socket in the meter combo load center; a plurality of power conductors that connect among the electricity meter, the meter socket, and BESS; a meter interconnection device (MID) switch for connecting a utility grid or one or more distribution energy resource (DER) devices to supply power to household loads in the household microgrid; a MID driving circuit for driving the MID switch to close or open; and a MID connection detection circuit to verify an electrical connection of a closed MID switch.

The invention discloses an electric energy meter intelligent load control method based on electricity utilization behavior analysis, and relates to the technical field of electric power metering, and the method comprises the steps: collecting current waveform data and power parameters through an electric energy meter metering chip; according to the current waveform data, zero crossing point moment information of the alternating current is determined; generating a load control instruction according to a comparison result of the power parameter and a preset power threshold value; and determining a switch control moment according to the zero-crossing moment information and the action delay parameter of the built-in switch, and controlling the built-in switch to execute on-off operation at the zero-crossing moment according to the load control instruction and the switch control moment. By capturing the current zero crossing point moment, arc-free on-off control of the built-in switch is achieved, energy loss and electromagnetic interference in the switch action process are reduced, and the service life of the switch is prolonged; and meanwhile, a periodic detection mechanism is adopted, power supply is automatically recovered on the premise of ensuring power utilization safety, and the power supply reliability and the user experience are improved.

The invention discloses an electric energy meter precision degradation evaluation system and device based on sampling unit fault features, and relates to the technical field of electric energy meters, the system comprises a reading module which extracts a sampling log of a target sampling unit, and obtains current and voltage input and response data; the recognition module extracts features, recognizes impact modes such as surge, short circuit and high-frequency overload, and establishes response feature mapping; the first prediction module inputs the impact mode and the response feature into a time sequence channel to generate a preliminary fault prediction result; the second prediction module constructs a test database based on the preliminary result, performs fault verification and outputs a final prediction result; and the degradation evaluation module fuses the working state data and the prediction result to complete multi-factor precision degradation evaluation. Therefore, the technical effects of multi-dimensional prediction fusion, prediction accuracy improvement and prediction efficiency optimization are achieved.

The invention provides a power system electric quantity compensation method and system based on abnormal gateway analysis, relates to the technical field of abnormal gateway analysis, and aims to solve the problems that the prior art is not suitable for complex scene coverage and poor in dynamic applicability, real-time performance and robustness, and system data is directly called and analyzed, so that the power consumption is low. Data relevance is insufficient, reliability and accuracy of analysis results are not high, and efficiency is low. The method comprises the following steps: acquiring electricity meter bottom data of a related gateway from a constructed power system model in real time, and inputting the electricity meter bottom data and telemetering data into an analysis model for correlation analysis; according to a correlation analysis result, a suspected abnormal gateway is judged; acquiring equipment elements with abnormal line loss rates of the corresponding gateways from the power system model, and further judging the equipment elements as abnormal gateways; and calculating the compensation electric quantity according to the error ratio of the two data and the line loss rate of the corresponding equipment. According to the invention, problems in the prior art are solved, effective electric quantity compensation is realized, and the operation efficiency, accuracy and transparency of a power system are improved.

The invention discloses an electricity meter dial plate recognition method based on computer vision. An original electricity meter dial plate image is generated; inputting the original electric meter dial image into the super-resolution-illumination joint enhancement network to obtain an enhanced electric meter dial image; inputting the enhanced ammeter dial image into an improved YOLOv8 target detection network to obtain an ammeter structure detection result; constructing a pointer direction vector and outputting each pointer angle value through an angle regression model; calculating the reading of each dial position based on the angle value of the pointer and the excircle specification parameter of the dial plate to obtain a digital window image; inputting the digital window image into an optical character recognition model to obtain a digital window recognition result; and executing time sequence consistency smoothing processing on the reading results passing the verification in the continuous acquisition period, and outputting smooth reading results. According to the method, the reading precision can be improved under different electric meter types and multi-disk heterogeneous structures through combined verification in multiple links of detection, regression and identification.

The invention provides an electric energy meter dynamic metering calibration method and system, and relates to the technical field of electric energy meter calibration, and the method comprises the steps: collecting the multi-source metering data of an electric energy meter, constructing an error propagation topology network according to the error influence relation of the multi-source metering data of the electric energy meter, carrying out the quantification of the error of each node in a node set, and carrying out the calculation of the error propagation topology network. Acquiring an error propagation energy field; the method comprises the following steps: constructing an error propagation energy field model, generating an error propagation energy evolution sequence based on time evolution, extracting an energy evolution feature vector, identifying a current evolution state, generating a calibration trigger time window if the current evolution state is detected to be in a critical evolution state, and executing metering calibration on the electric energy meter. The technical problem that dynamic change of errors is difficult to reflect in real time due to the fact that the electric energy meter is calibrated by adopting a fixed period or a fixed time node in the prior art is solved. The technical effects of dynamically determining the calibration time node and improving the metering precision and the resource utilization efficiency are achieved.

The invention discloses a non-standard ammeter anomaly detection method based on a parameterized protocol model, and the method comprises the steps: firstly constructing a parameterized protocol model which comprises test point models corresponding to a plurality of test points; loading the parameterized protocol model, and determining a detection execution sequence; generating a request frame for any test point according to communication information configured in the parameterized protocol model, sending the request frame to a tested ammeter, performing communication interaction with the tested ammeter, and receiving a response frame returned by the tested ammeter; performing verification on the response data, and performing field-level analysis and data conversion according to a verification result to obtain an actual detection value of the test point; and performing fault judgment according to the actual detection value and generating a detection report. According to the method, non-standard electricity meters of different models and different protocol formats can be adapted under the condition that detection program codes do not need to be modified.

The utility model relates to a mobile code scanning electricity meter storage cabinet, which belongs to the technical field of storage equipment and comprises a cabinet body, the front end and the rear end of the cabinet body are open, a plurality of placing plates are fixedly connected inside the cabinet body at intervals from top to bottom, and a plurality of isolating bars are fixed at the top ends of the placing plates at intervals along the length direction of the placing plates. An accommodating groove for placing an electric meter is formed between any two adjacent isolating bars; a moving mechanism is arranged at the rear end of the cabinet body, the moving mechanism comprises a moving vertical rod which can be driven by a driving mechanism to move in the length direction of the cabinet body, a code scanning device used for scanning a bar code on an electricity meter is arranged at the top end of any placing plate, and the code scanning device is connected with the moving vertical rod through a connecting rod. According to the utility model, electricity meters can be conveniently stored, the storage efficiency can be effectively improved, and the electricity meters are convenient to take and use.

The invention discloses a line loss analysis method and system based on transformer area topology identification and terminal equipment. The line loss analysis method comprises the steps of obtaining first power data and load data of a plurality of ammeters and second power data of a plurality of transformers in a transformer area; determining a target transformer to which each electricity meter belongs based on the first power data and the second power data, if each electricity meter belongs to the same target transformer, determining a phase group to which each electricity meter belongs based on the first current data and the second voltage data, and determining a branch box group to which each electricity meter belongs based on the first voltage data between the electricity meters, determining an initial topology result based on the target transformer, the phase group and the branch box group; and checking the initial topology result based on the load data to determine a target topology result, and performing line loss analysis based on the target topology result to obtain a transformer area line loss result. According to the invention, the accuracy of topology identification and line loss analysis can be improved.

The invention discloses an uninterruptible power meter changing metering box and an electric meter changing method thereof, and the uninterruptible power meter changing metering box comprises a box body, a wiring device and a short circuit device. An electric meter position is arranged in the box body; the wiring device comprises an electricity meter connecting terminal which is arranged in the electricity meter position and used for installing an electricity meter. The electricity meter connecting terminal comprises a plurality of expansion terminals. The short-circuit device comprises a driving assembly mounted on the box body, and a short-circuit assembly and an expansion assembly which are connected with the driving assembly, the driving assembly is used for being driven to a first driving state or a second driving state, the first driving state of the driving assembly is used for driving the short-circuit assembly to short-circuit the expansion terminals with the same phase, and the second driving state of the driving assembly is used for driving the expansion terminals with the same phase; meanwhile, the expansion assembly is driven to drive the expansion terminal to contract; the second driving state of the driving assembly is used for driving the short-circuit assembly to break away from the expansion terminal and driving the expansion assembly to drive the expansion terminal to open. According to the metering box capable of replacing the meter without power failure, the electric meter can be rapidly replaced in a non-power-failure state, and misoperation is avoided.

The invention discloses a dynamic adaptive operation, maintenance and metering optimization method for an electric energy metering box, and the method comprises the steps: collecting electrical parameters, environmental parameters and box body state parameters in real time, constructing a three-dimensional data set through preprocessing, and carrying out the local storage and preliminary analysis through edge calculation; the condensation occurrence probability is calculated based on the environmental parameters, and self-adaptive regulation and control are triggered and a ventilation structure is linked; abnormal features are extracted, abnormity is recognized in a rule judgment and trend analysis double-engine mode, and graded early warning is carried out; performing comprehensive state scoring in combination with the three-dimensional data set, and matching a differentiated inspection mechanism; presetting a metering error reference value of a temperature and humidity interval, calculating a compensation value in real time and remotely correcting parameters of the electric energy meter; and establishing a shared data platform of the power supply and the power consumption, and realizing full-process data tracing and automatic report generation. According to the method, the condensation prevention and control accuracy is improved, the abnormal false alarm rate is reduced, the operation and maintenance resource allocation is optimized, the metering accuracy is improved, and the data collaboration and tracing capability is enhanced.

The invention discloses a temperature drift compensation method for an intelligent electric meter, and the method carries out the gradual optimization according to levels: constructing a basic temperature drift compensation model at the first layer, and preliminarily offsetting the influence of temperature on the measurement precision; in the second layer, a temperature change rate item is introduced into a compensation formula, the temperature change rate is calculated through a weighted sliding window algorithm, and an instantaneous metering error caused by local instantaneous temperature rise caused by sudden load change is compensated; in the third layer, temperature sensors are independently arranged in a high-heat area (a metering chip) and a low-temperature area (a current transformer) in the ammeter respectively, and a corresponding temperature drift compensation model is established based on temperature data of each area to adapt to the temperature difference of the areas; and the fourth layer respectively constructs deep learning networks for the high-heat area and the low-temperature area, inputs the temperature time sequence data of each area, the operation duration of the electricity meter and the environment temperature into the corresponding networks, and outputs model updating parameters to realize the dynamic updating of the model. According to the invention, the metering precision of the intelligent electric meter in steady and dynamic working conditions and long-term operation can be obviously improved.

The utility model relates to a relay and an electric meter. The relay comprises an electromagnetic pushing system, the electromagnetic pushing system comprises a coil and an armature assembly, the armature assembly is located on one side of the coil in the first direction, and the axis direction of the coil is in the third direction; the contact system is located on the third direction side of the electromagnetic pushing system and comprises a static contact unit and a movable contact unit which are arranged in the third direction, the movable contact unit is connected with the armature assembly, one end of the movable contact unit is fixed to the relative position of the static contact unit, and the other end of the movable contact unit is suitable for being driven by the armature assembly to be close to or away from the static contact unit; the terminal group is positioned on one side, deviating from the electromagnetic pushing system, of the contact system and is connected with the static contact unit and the movable contact unit; wherein the first direction is perpendicular to the third direction. According to the invention, the space layout of the relay is more reasonable, the structure is more compact, the occupied space is effectively reduced, the relay can be better matched with other parts, and the applicability is good.

The invention discloses an electric arc dynamic suppression method for hot plugging of an electric meter connector, relates to the technical field of electric energy metering equipment, and aims to solve the problems of electric arc generation, overproof metering error and the like caused by passive protection and lack of dynamic cooperative control in the prior art. The core of the method is that gap distance and power grid voltage phase signals are acquired in real time through a microcontroller, and the plugging speed, the signal injection and the position fine adjustment are dynamically regulated and controlled in three stages of pre-contact, low-current transition and full connection; and a machine learning model is combined to optimize a parameter threshold value, a redundancy safety mechanism and a multi-phase electric meter cooperative control strategy, so that double management and control of arc peak energy and metering errors are realized. The method can actively inhibit arc generation, avoid connector ablation and insulation deterioration, guarantee metering continuity and accuracy, adapt to complex power grid and environment working conditions, and meet the precision requirement of the intelligent electric meter.

The invention discloses a state management system for a single-phase ammeter, and relates to the technical field of electrical variable measurement, the state management system comprises an acquisition module, a monitoring module and an early warning decision module, the acquisition module acquires initial data of the single-phase ammeter, transmits the initial data to the monitoring module, carries out distributed processing on the initial data through a monitoring unit, obtains a comparison result, and sends the comparison result to the early warning decision module; the method comprises the following steps: comparing a plurality of data, transmitting the data to an early warning decision module, carrying out distributed collaborative decision according to a comparison result, generating an early warning signal and a control instruction, realizing data local processing and distributed storage through multi-node edge calculation, and reducing the false alarm and missing report rate by relying on a dynamic differentiation threshold and historical data calibration. Parameter linkage risks are captured by means of time sequence correlation analysis and an abnormal path atlas, alarm storm is avoided through hierarchical decision-making and hierarchical early warning, data management is optimized by combining Hash fragmentation storage and combination key retrieval, traditional bottlenecks are comprehensively broken through, the monitoring reliability, accuracy and intelligence of an electric meter are improved, and novel electricity utilization ecological requirements are met.

The invention relates to the technical field of electric power measurement, in particular to a novel intelligent electric meter box electricity larceny prevention system and an application method. The electricity larceny prevention system comprises a microcontroller, a data transmission module, a data storage module, a camera, a box door detection switch, various sensors, an electricity larceny detection and remote control alarm module, an identity recognition module, a circuit breaker module and a strong magnetic and strong electric shock detection module. The application method comprises the following steps: starting and self-checking the system; judging and processing a self-checking result; real-time monitoring and event monitoring are carried out; an abnormal event response process; a remote instruction response process; recovering monitoring; the electric energy metering box is economical, practical, safe and reliable, real-time monitoring, electricity stealing behavior detection and alarm can be carried out on the electric energy metering box, remote control over the electric energy metering box can be further achieved, the identity of a box opening person can be effectively recognized, and protection over the metering box is achieved.

The invention relates to the technical field of electric energy metering device structures, in particular to a modularized assembled electric energy metering box which comprises a box body, a plurality of electronic modules located in the box body and a plurality of connecting structures used for fixing the electronic modules. By means of the mode that a plurality of right-angle clamping grooves in two vertical strips are used for clamping a plurality of clamping bodies, only the clamping bodies can be allowed to move in the vertical direction, the clamping bodies are limited in the vertical direction in cooperation with blocking arms, and therefore the connecting table and the first base are completely connected together, and the rapid assembly mode of the electronic module is achieved; due to the fact that the electronic module can push the blocking arm to rotate obliquely when moving horizontally, and the electronic module can be automatically staggered with the blocking arm when moving in the vertical direction, the electronic module can be automatically limited in the vertical direction through the blocking arm capable of automatically rebounding and resetting, the operation mode is simple, and the needed operation space is small.