565 results about "Ammeter" patented technology

The invention relates to the technical field of ammeter monitoring, in particular to a detection method and system for ammeter load optimization, and the method comprises the following steps: collecting voltage and current data based on a load access terminal, judging synchronous offset, recognizing a dominant channel change mode, adjusting sampling rhythm configuration, and constructing amplitude mapping between voltage and power; and analyzing a multi-cycle response trend and classifying load states to obtain a load feature distribution label. According to the invention, by constructing a time sequence comparison structure of voltage and current signals in the same period, the identification capability of channel synchronization characteristics is enhanced, the interference of periodic rhythm drift on data sampling is avoided, the channel dominant trend is judged according to the spacing change proportion, the difference source has clear guidance, and the fluctuation identification precision is improved. In combination with a dynamic regulation and control strategy of a sampling rhythm, adaptive distribution of sampling frequency bands of key channels is realized, the detection granularity is improved, linkage expression among multi-channel signals is completed, and the depiction depth of a load response structure is enhanced.

The invention relates to the technical field of electricity meter metering, and discloses an electricity meter adaptive error compensation method and system, and the method comprises the steps: calibrating an electricity meter, collecting baseline data under different environment conditions, and recording a measurement error; environment data and ammeter data are collected in real time through an ammeter, and key features are extracted; constructing an error model, and predicting the error of the current ammeter data; and performing real-time correction and parameter adjustment according to the prediction error, and outputting the corrected measurement data. By introducing a real-time error prediction and dynamic compensation mechanism based on environmental data and combining a particle swarm optimization algorithm to optimize regularization parameters in a ridge regression model, the measurement precision of the electric meter under a complex environmental condition is effectively improved. The method can adaptively adjust the measurement data of the electric meter, reduces errors caused by environmental factors, improves the accuracy and stability of electric power measurement, and provides more reliable data support for an electric power management and monitoring system.

The invention relates to the technical field of electricity meters, and particularly discloses a relay and an electricity meter thereof, comprising a mounting plate: a clamping frame is fixedly mounted on the front surface of the mounting plate, sliding grooves are formed in the upper and lower ends of the clamping frame, sliding plates are slidably connected to the inner sides of the sliding grooves, and heat dissipation fins of a heat conduction aluminum plate are attached to electronic components in the electricity meter. The n-pentane heat-conducting medium in the liquid storage box is heated and vaporized, the heat is absorbed, the heat dissipation capability is improved, the heat pushes the air cylinder to open the heat dissipation window, the air velocity in the electric meter is improved, the heat dissipation is enhanced, the temperature is continuously increased, and the heat-conducting medium is further vaporized, so that the inner current-conducting plate and the outer current-conducting plate are attached; and after the temperature is reduced, the heat-conducting medium is condensed, the air cylinder shrinks to block the heat dissipation window, the heat dissipation fan does not need to be automatically triggered by a temperature sensor, the consumption is reduced, the stability is improved, the cost is reduced, and the protection and moisture-proof performance is improved by the blocking window when the heat dissipation device is not used.

The utility model relates to the technical field of circuits capable of automatically changing measuring ranges, in particular to a multi-measuring-range automatic switching circuit, which comprises measuring range control circuits with a plurality of measuring ranges, and is characterized in that each measuring range control circuit is used for carrying out current measurement in a corresponding measuring range so as to be displayed on an ampere meter; the current detection circuit is connected with each range control circuit and is used for detecting the current of each range control circuit; and the MCU main controller is respectively connected with the current detection circuit and each range control circuit and is used for comparing the current of each range control circuit with the corresponding set current and controlling whether each range control circuit is conducted or not according to the result. The situation that ampere meters with different measuring ranges are manually replaced can be reduced.

The invention relates to the technical field of electric meter data transmission, in particular to an intelligent electric meter multi-mode communication low-power-consumption control and data compression combined processing method. If the ammeter temperature is greater than the temperature threshold, calculating the heat dissipation coefficient of the ammeter according to the heat dissipation parameter; determining the maximum operation power of the ammeter according to the heat dissipation coefficient; judging whether the state of the electricity meter is abnormal or not according to the operation parameters, if the electricity meter works normally, selecting an LPWAN technology for data transmission and selecting a data compression mode according to a data change period, responding to the abnormal work of the electricity meter, adjusting the emission frequency according to the accumulation amount of key data, and after the adjustment of the emission frequency is completed, performing data compression. And determining a data compression and communication mode according to the maximum operation power. By calculating the heat dissipation coefficient and determining the maximum operation power according to the heat dissipation coefficient, the electric meter can operate in a safe power range, so that the operation stability of the electric meter is improved.

The invention relates to the technical field of clip-on ammeters, and discloses an intelligent clip-on ammeter which comprises a clip-on ammeter body, a clip-on head is rotatably connected in the clip-on ammeter body, a wrench is fixedly connected to the left side of the clip-on head, and a fixing mechanism is arranged on the periphery of the clip-on ammeter body. The clamp-type ammeter comprises a clamp-type ammeter body, a fixing mechanism is arranged at the bottom of the clamp-type ammeter body, a handheld mechanism is arranged at the rear side of the clamp-type ammeter body, a limiting mechanism is arranged at the bottom of the fixing mechanism, and the fixing mechanism comprises a fixing assembly and a pressing assembly. When the clamp-on ammeter is used, the clamp-on ammeter body is fixed under the action of the base, the fixing frame and the concave frame, and the connecting shaft is connected with the fixing sleeve, so that the clamp-on ammeter body can be lifted under the action of the supporting rod, and the clamp-on ammeter body can measure the current of a cable at a high position.

The invention relates to the technical field of energy storage systems, and discloses a multi-type ammeter mixing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the ammeter types of a plurality of ammeters connected to the same communication port; configuring a communication address for each electricity meter according to the type of the electricity meter and a preset serial number or configuring a communication address for each electricity meter according to an address label; and establishing communication for each electricity meter according to the communication address. According to the invention, the same communication port can be compatible with the access requirements of different types of ammeters, the method is suitable for a complex scene in which multiple ammeters coexist, the tolerance of the energy storage system to different ammeters is improved, and the problem that the same communication port is difficult to adapt to the mixed use requirements of multiple types of ammeters is solved.

The invention discloses an ammeter fault prediction method based on multi-modal fusion, and the method comprises the steps: collecting and preprocessing the multi-modal operation data of an ammeter and associated equipment, and constructing a unified input data set; inputting into a variational auto-encoder for fusion feature extraction, generating a latent variable vector and reconstructing original data; constructing an improved conditional probability graph model, and modeling and reasoning an abnormal label based on a latent variable and a topological structure; jointly training a variational auto-encoder and a graph model, and optimizing the discrimination capability of a latent variable on a structured tag; and inputting real-time data, generating latent variable characteristics, reasoning an abnormal label and confidence of the electric meter, and outputting early warning. According to the method, the variational auto-encoder and the improved conditional probability graph model are fused, so that high-precision prediction and real-time early warning of faults of the electric meter and associated equipment thereof are realized.

The invention relates to the technical field of resource recovery and waste treatment, and discloses an automatic treatment system for a scrapped ammeter, and the system comprises an ammeter recognition and modeling module which is used for carrying out the structure scanning of the scrapped ammeter, recognizing the spatial layout and connection relation of the internal components of the ammeter, and building a topology model representing the connection between the components; the multi-target optimization module is used for carrying out optimization calculation on the disassembly path according to target requirements of efficiency, energy consumption and resource recovery rate and generating an optimal path, the invention further provides an automatic processing method of the scrapped ammeter, and the method comprises the following steps: identifying and modeling the ammeter, scanning the scrapped ammeter to identify the spatial layout and the connection relation of the components, and carrying out automatic processing on the scrapped ammeter; and establishing a topological model. Through the combination of multi-objective optimization, dynamic topology updating and a real-time feedback mechanism, the efficiency and flexibility of scrapped ammeter processing and the comprehensive improvement of the resource recovery rate are realized.

The invention discloses a fault identification method and system of an intelligent electric meter, and belongs to the field of fault identification of the intelligent electric meter, and the method comprises the following steps: collecting the electric parameter data of a historical electric meter and the power consumption parameter of each electric device, and obtaining the standby power consumption parameter of the electric device; setting standby power consumption base lines in different time periods including working days and rest days, and triggering early warning when the deviation between the real-time power consumption and the base lines exceeds a preset threshold value; performing fault prediction according to the triggered early warning to obtain a specific fault; obtaining an abnormal reason of an abnormal point in the historical electricity meter electric parameter data, carrying out correlation analysis on the historical abnormal point and a predicted fault, obtaining the abnormal reason of the abnormal point with the highest correlation, and taking the abnormal reason as a fault reason after verification and outputting the abnormal reason; according to the invention, through obtaining the ammeter data, the power consumption of each device and the standby power consumption, the personalized baseline is established in combination with different time periods, time and seasons, the abnormality of the ammeter is accurately identified, and fault misjudgment caused by high standby power of the device is effectively avoided.

The invention provides a three-phase unbalanced load adjusting method based on an improved mayfly naiad algorithm, and the method comprises the steps: obtaining and cleaning the voltage and current data of a general meter of a transformer area and all user ammeters in the transformer area, and obtaining the voltage time sequence and current time sequence of the general meter and all user ammeters; based on the voltage time sequence, the phase of each user electric meter is judged through a dynamic time warping algorithm; based on the current time sequence and the phases where the user electricity meters are located, with the minimum three-phase unbalance degree and the minimum number of adjusted user electricity meters as targets, the load of the phases is adjusted by adjusting the positions of the user electricity meters on all the phases through an improved mayfly naiad algorithm, and a final three-phase unbalance load adjusting scheme is obtained through optimization. According to the method, the problem of dependence on manual adjustment experience of the three-phase imbalance condition at present is solved, the three-phase imbalance condition of the transformer area can be adjusted in time, and the labor cost is greatly reduced.

The invention discloses an electric meter load real-time monitoring method based on edge calculation. The method comprises the following steps: acquiring load data in real time at an electric meter end and constructing an initial hidden layer network structure; determining an initial reference threshold value of the load data change event; detecting load data change in real time by using an event triggering mechanism and generating a triggering signal; dynamically adjusting a hidden layer node structure based on real-time load data; updating the output weight matrix by adopting a sequential learning method and predicting load data in real time; identifying a key data event according to a prediction result and executing compression packaging; and uploading the packaged key data to a remote monitoring center. According to the invention, local real-time processing of load data is realized, data transmission delay is effectively reduced, and monitoring precision and real-time performance are improved.

The invention, which relates to the technical field of the power system, discloses a transformer area ammeter metering error estimation method and system, comprising the following steps: collecting power utilization information data of transformer area users, and carrying out data preprocessing; establishing an energy conservation law of the intelligent electric meter; a data matching problem of new energy access is considered; constructing an intelligent electric meter error estimation model according to an energy conservation principle; a biased estimation method based on Neumann series is adopted to solve the constructed model; and calculating an ammeter error value by adopting a window sliding mechanism. The method provided by the invention solves the problems that the line loss volatility and randomness of the transformer area are large, and the transformer area is easily affected by the ill-conditioned condition of a data matrix under the condition that the new energy is connected into the intelligent electric meter, guarantees the accuracy of error estimation, improves the operation efficiency of the electric meter, and is practical.

The invention discloses an inverter system anti-countercurrent communication architecture. The architecture comprises a communication network, and a three-phase ammeter, an anti-countercurrent controller and a plurality of inverters which are in communication connection with the communication network. The detection module is used for detecting electric quantity information of a power grid side of the inverter system; the anti-countercurrent controller is suitable for receiving electric quantity information detected by the three-phase electric meter; the anti-countercurrent controller is suitable for selecting part of inverters as main inverters and sending an anti-countercurrent instruction; the main inverter is suitable for receiving the anti-countercurrent instruction and forwarding the anti-countercurrent instruction to the other inverters. The beneficial effects of the application are that the main inverter is arranged in the plurality of inverters and communicates with the anti-reflux controller through the communication bus, and the other inverters communicate with the main inverter, so that information interference when the anti-reflux controller communicates with all inverters can be avoided; therefore, the accuracy of anti-reflux control can be effectively improved.

The utility model relates to a guide rail type ammeter verification tool. The technical problem to be solved by the utility model is to provide a guide rail type ammeter verification tool with high verification efficiency. According to the technical scheme, the tool comprises a tool bottom plate, a verification butt-joint box, stand columns, an air cylinder, an electric meter limiting plate and a pin assembly, the pin assembly comprises pins, reset springs and nuts, verification through holes are formed in the verification butt-joint box, the pins are electrically connected with the verification through holes, operation plates are arranged at the upper ends of the two stand columns, and the operation plates are connected with the reset springs. An air cylinder action switch is arranged on the operation plate, a limiting plate inserting opening is formed in the middle of the electric meter limiting plate, and an upper positioning block and a side positioning block are arranged on the front portion of the tool bottom plate. Compared with the prior art, the tool has the advantages that the checking speed of the guide rail type ammeter can be increased, the tool can be conveniently butted with checking equipment, the guide rail type ammeter can be accurately and reliably placed and limited, and the stable and reliable contact of the guide rail type ammeter when the guide rail type ammeter is placed can be effectively ensured through the structural design of the contact pin assembly.

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 provides an electricity meter phase identification method and system, a storage medium and an acquisition and analysis device, and belongs to the technical field of electricity meter phase identification. In the application, firstly, each inlet phase signal of three-phase electricity at an inlet of a meter box is sampled to obtain a meter box current sequence and a meter box voltage sequence; and an ammeter current sequence and an ammeter voltage sequence of ammeter phase signals in the three-phase electricity flowing through the ammeter in the ammeter box are obtained. Then, according to the meter box current sequence, the meter box voltage sequence, the electric meter current sequence and the electric meter voltage sequence, obtaining a difference index and a correlation index between each inlet phase signal and each electric meter phase signal; and finally, according to the difference index and the correlation index, obtaining a discrimination coefficient between each inlet phase signal and each electric meter phase signal, and according to the discrimination coefficient, identifying the connection relation between the meter box and the electric meter. Therefore, the identification of the connection relation is realized through the voltage and current data of each ammeter, and additional communication devices and the like do not need to be installed, so that the identification cost is reduced.

The invention provides a microgravity metal fuse wire additive melt directional transfer and liquid bridge transition maintaining device and method. A forming substrate is installed on a multi-axis motion platform; the multi-axis motion platform customizes a three-dimensional motion track path according to three-dimensional data in additive manufacturing; the two current clamps are respectively fixed between the metal wire and the forming substrate, a current path is formed between the metal wire and the forming substrate through a direct-current power supply, and an ampere meter is connected in series in the current path; the electromagnetic coil is arranged in the circumferential direction of the metal wire, and the magnetic conductive bars are connected with the electromagnetic coil and distributed at the symmetrical positions of the two sides of the end of the metal wire. The AC power supply provides an alternating electric field for the electromagnetic coil; the wire feeding mechanism and the driving motor feed the metal wire to the action range of the light spot emitted by the laser source quantitatively at a constant speed; the laser acts on the forming substrate, and a liquid molten pool is formed on the forming substrate; the metal wire and the forming substrate form a liquid bridge connection mode through the liquid melt. The air hole defect of the component can be reduced.

The invention relates to the technical field of electric power communication module meter reading test, and discloses an electric power communication module meter reading test method and system, and the method comprises the steps: sending a to-be-tested module into a conveyor belt, carrying out the light supplement after the to-be-tested module enters a detection region, collecting an image, and recognizing display data. If the data display is abnormal, further judging whether bright spots exist or not, and if not, removing abnormal modules; and if yes, adjusting the light supplementing strategy and re-collecting the image until the bright spots disappear. And comparing and synthesizing the newly collected image and the original image, and determining whether the ammeter is qualified after determining that the data is accurate. Light supplementing adjustment is based on analysis of the bright spot position, the light supplementing effect is optimized by controlling the position of a light supplementing lamp, and the accuracy of detection data is ensured. The method can effectively improve meter reading accuracy and reduce manual intervention, and is suitable for automatic production line detection of intelligent electric meters.

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 invention discloses a behavior baseline-based ammeter state monitoring method, system, equipment and medium, and relates to the technical field of equipment behavior anomaly detection, and the method comprises the steps: collecting operation parameter time sequence data of an intelligent ammeter in a preset monitoring region during operation, carrying out the combined processing of the operation parameter time sequence data, extracting the multi-dimensional features of the region, and carrying out the detection of the behavior baseline; based on regional multi-dimensional features in a historical normal state, a regional behavior baseline is established through unsupervised learning, regional multi-dimensional features at a current monitoring moment are acquired, a regional consistency index is generated through matching degree calculation with the regional behavior baseline, and an abnormal ammeter is identified according to an individual deviation degree. And based on the region consistency index and a preset period, triggering update maintenance of the region behavior baseline. According to the method, visual visualization and a model self-evolution mechanism are combined, and the state of the industrial electric meter is changed from passive warning to active, accurate and large-scale predictive intelligent operation and maintenance.

The utility model discloses a guide rail type ammeter with arc identification, which relates to the technical field of guide rail type ammeters and comprises a shell, a sensor and a mounting plate, the sensor and the mounting plate are positioned on two sides of the shell, and moving assemblies are arranged at one end of the shell and one side of the sensor and the mounting plate; the moving assembly comprises two moving rods, a mounting shell, a fixed cover and a driving mechanism, the driving mechanism is arranged on one side of the sensor and one side of the mounting plate, the two moving rods are slidably mounted at the top end of the shell and fixedly mounted on the two sides of the mounting shell, and the fixed cover is fixedly mounted at the top end of the mounting shell through bolts; according to the technical scheme provided by the utility model, by arranging the moving assembly, when the sensor detects a fault arc, the interior of the electric meter can be powered off, and the driving mechanism is controlled to drive the moving rod to ascend, so that the connector is separated from the connecting end, the electric meter can be separated from the connecting wire, and the damage to the electric meter caused by high temperature at the connecting part of the connecting wire and the electric meter is reduced; and the safety is improved.

The present application relates to the technical field of cable waterproof detection, and specifically discloses a high flame-retardant cable waterproof grade detection device, which includes a bending disc. The bending disc includes a semi-circular part and a rectangular part. A bending assembly is arranged inside the semi-circular part, and a spraying group is also arranged inside the semi-circular part. A driving mechanism is arranged on the mounting seat. The two ends of the cable are respectively connected to the positive and negative electrodes of the power supply and are connected with an ammeter. The bending assembly in the present application bends the part of the cable located in the semi-circular part, amplifies the relatively small gaps existing on the cable. After amplification, the sprayed water can more directly contact the metal wires inside the cable, thereby affecting the resistance of the cable, and the value of the ammeter will change, so the detection result is more accurate. The driving mechanism in the present application can clamp and rotate the cable and clamp and move the cable. By using the clamping rotation and clamping movement, the outer insulating layer of the entire cable can be stretched, so a comprehensive waterproof detection of the cable can be carried out.

The invention discloses an active power distribution area line loss prediction method, system and device and a storage medium, and relates to the technical field of line loss detection, and the method comprises the steps: decomposing the historical line loss data of an active power distribution area into the line loss data of each ammeter in the active power distribution area; performing correlation analysis on the active power distribution area line loss influence factors and the electric meter line loss data to obtain the weight of each influence factor on the influence of the electric meter line loss data; and predicting the line loss of the electric meter by adopting a multi-classifier and a bidirectional long-short-term memory network, and carrying out superposition and reconstruction to obtain a line loss prediction result of the active power distribution area. According to the invention, accurate prediction of the line loss of the active power distribution area with high-proportion DG access is realized.

The invention discloses a physics teaching experiment auxiliary device, and relates to the technical field of teaching auxiliary equipment. The device comprises a bottom plate, and the top of the bottom plate is provided with a magnet and an ampere meter. A switching mechanism is arranged at the top of the bottom plate and comprises a vertical plate fixedly connected to the top of the bottom plate and a motor rotationally connected to one side of the vertical plate. Through cooperation of the conversion mechanism and the rotation adjusting mechanism, key variables such as the magnetic field intensity, the number of coil turns and the magnet insertion speed can be flexibly adjusted, students can visually observe the influence of different variables on induction current, the quantitative relation of electromagnetic induction is deeply understood, the device supports demonstration of various experiment scenes, and the teaching efficiency is improved. Comprise the current change when the magnet is inserted into or pulled out of the coil, the influence of the magnetic field intensity change on the induction current, the induction current difference under different coil turns and the like, the teaching content is enriched, and the diversity and interestingness of the experiment are improved.

The invention discloses an ammeter phase sequence deviation rectifying method, and relates to an ammeter phase sequence deviation rectifying device, the device comprises an ammeter, a current transformer and an upper computer, the ammeter is provided with an MCU, the current transformer is connected with the MCU of the ammeter and is used for being installed on an electric wire in a sleeving mode to sense the current of the electric wire, and the ammeter is in communication connection with the upper computer through the MCU; the method comprises the following three conditions: the first condition is connection detection of the current transformer; the second condition is reverse connection correction of the current transformer; and the third condition is line sequence deviation correction of the current transformer. According to the invention, the connection state of the current transformer can be detected, and the detection accuracy and stability are improved; when the current transformer is reversely connected, the power utilization data can be corrected, so that the detection accuracy is ensured, the current transformer does not need to be reconnected, and the operation is convenient; when the current transformer is wrongly connected, the current sampling channel corresponding to the current transformer can be adjusted, the current transformer does not need to be reconnected, and the operation is flexible.

The utility model discloses a calibration device for a track circuit dynamic detection system, and relates to the technical field of track circuit dynamic detection. The device comprises a signal source module, a power amplifier, a load resistor and an ampere meter, the controller outputs a control signal to the signal generator; the signal generator outputs a current signal to the gain regulator based on the control signal; the gain regulator outputs the current signal after gain regulation to the power amplifier based on the current signal; the power amplifier outputs an amplified current signal to the load resistor based on the current signal after gain adjustment; according to the utility model, the precision and the stability of the output current signal can be improved, and the stability, the accuracy and the efficiency of the calibration of the track circuit dynamic detection system can be improved.

The utility model discloses a device for corona discharge phenomenon teaching demonstration and volt-ampere characteristic measurement, which comprises an experiment box body, an experiment table is arranged on the experiment box body, a transparent cover and an electrode spacing adjusting mechanism are arranged on the experiment table, and the transparent cover can be selectively opened or buckled on the experiment table. An electrode bracket is arranged on the electrode distance adjusting mechanism, and an electrode is mounted on the electrode bracket; a power supply, a voltmeter and an ammeter are arranged in the experiment box body; an output electrode of the power supply is connected with an electrode on the electrode bracket through a wire; an ampere meter is arranged between the output electrode of the power supply and the electrode on the electrode support, and the ampere meter can be selectively connected to or disconnected from a circuit; the voltmeter is connected in parallel between the two output electrodes of the power supply. The device for corona discharge phenomenon teaching demonstration and volt-ampere characteristic measurement disclosed by the utility model has the advantages of simple experimental device, convenient operation, easy adjustment of experimental parameters, easy observation of experimental phenomena and the like.

The invention discloses an electric energy meter operation state inspection and evaluation method and system, and relates to the technical field of electric power metering safety, and the method comprises the steps: collecting and preprocessing the electrical working data of an electric energy meter, obtaining the reference current and working current of the electric energy meter, extracting error features, and generating a current error signal; carrying out voiceprint collection on the electric energy meter, and capturing a voiceprint signal of the ammeter; converting the voiceprint signal into a discrete pulse sequence through a coding algorithm, and obtaining a standardized pulse sequence through dimension conversion and optimization compression; performing feature extraction on the standardized pulse sequence by applying a pulse neural network, and obtaining fault probability distribution through synaptic weight calculation and neuron state updating after obtaining pulse sequence features; the feedback control signal and the electric energy meter evaluation report are generated based on the fault probability distribution, and the problem of poor real-time performance of fault mode recognition is solved.

The invention relates to the technical field of intelligent electric meters, in particular to an intelligent electric meter correction method and system based on an error source, and aims to improve the correction accuracy of the intelligent electric meter. According to the main scheme, if an ammeter error probability value in a current time period is greater than a preset probability value and an error influence value is greater than a preset influence value, an error source of the intelligent ammeter is determined according to time sequence data of the intelligent ammeter; respectively calculating corresponding target compensation values according to the shunt fault error, the reference source fault error, the phase fault error and / or the aging fault error and the corresponding adjustment coefficients; compensating the original measurement value of the intelligent electric meter through the target compensation value to obtain a corrected measurement value; calculating a residual error according to the corrected measurement value and the electric energy value of the standard meter; and if the residual error is greater than a preset precision threshold, adjusting the adjustment coefficients corresponding to the shunt fault error, the reference source fault error, the phase fault error and / or the aging fault error.