559 results about "Electricity meter" patented technology

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 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 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 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.

Techniques for smart electricity meter operation and management of open-switch events are described. In an example, a voltage value of a transformer-side of a service site is measured. Power consumption at the service site is measured. Based at least in part on the voltage value being non-zero and the power consumption being zero, it is determined that an open-switch event occurred. That is, because the utility company is supplying typical voltage to the electricity meter, and because the power consumption is zero, a breaker switch may have tripped. Accordingly, a customer of the service site is notified of the open-switch event.

The invention relates to the field of electricity meter monitoring and management, and relates to an electricity charge management method and device based on electricity meter data, and the method comprises the steps: obtaining electricity meter image information, time-space stamp information corresponding to an electricity meter image, and historical electricity data of a user; identifying the electricity meter image information to obtain a preliminary identification result; performing fusion processing according to the preliminary identification result, the historical power consumption data of the user and the time-space stamp information corresponding to the electric meter image to obtain a credible reading report attached with a confidence level and an abnormal type label; according to the credible reading report, dynamic routing decision processing based on a confidence level and an abnormal type is carried out, and electric charge settlement processing decisions of different abnormal types are obtained; according to the invention, the intelligence and reliability of electricity charge management are effectively improved, the error rate of electricity charge settlement is reduced, and the efficiency of electricity charge settlement and the rationality of resource allocation are improved.

The invention provides an ammeter metering abnormity identification method and system based on multi-mode power utilization data fusion, and relates to the technical field of electric power metrology, and the method comprises the steps: collecting an actual power consumption set of intelligent power utilization equipment of a target user in a preset time zone, and carrying out the matching to obtain an equipment association degree set; according to the actual power consumption set and the equipment association degree set, predicting to obtain predicted total power consumption; performing analysis based on the intelligent electric equipment type set and the equipment association degree set to obtain prediction confidence; calculating a threshold adjustment coefficient according to the load fluctuation characteristics, the environment fluctuation characteristics and the prediction confidence in the preset time zone, correcting the initial error threshold, and outputting an adaptive error threshold; and calculating the electric quantity deviation amplitude according to the meter display consumed electric quantity of the electric energy meter of the target user in the preset time zone and the predicted total consumed electric quantity, and if the electric quantity deviation amplitude exceeds an adaptive error threshold, executing abnormal early warning. The technical problems of high false alarm rate and poor reliability of electricity meter metering abnormity identification in the prior art are solved.

The invention provides a synchronous acquisition method for the internal temperature of a user ammeter in a low-voltage transformer area, and belongs to the technical field of electric meter reading. Comprising the following steps: identifying an ammeter communication protocol and address when an ammeter module is initialized, and detecting whether the ammeter supports a temperature detection function; the terminal establishes and maintains an ammeter information database according to a detection result of the ammeter module, and records an ammeter protocol type, a communication address and a temperature measurement function state; the terminal broadcasts a freezing instruction and specifies the ammeter to freeze electric energy data at a target moment; the ammeter module analyzes the freezing instruction to obtain a target moment; for the ammeter supporting temperature measurement, an ammeter module reads the internal temperature of the ammeter at a target moment and returns the internal temperature when a subsequent terminal requests; for an electricity meter which does not support temperature measurement, an electricity meter module collects electric energy in a preset time period before a target moment and time sequence data of the temperature of the electricity meter module, and returns the time sequence data when a subsequent terminal requests; and the terminal predicts the internal temperature of the electric meter at the target moment according to the corresponding time sequence data before the target moment of the electric meter.

The utility model discloses a relay, an electric control assembly and an electricity meter, the relay is used for being connected with an electric control board, the relay comprises a relay body, a load terminal and a sampling pin, the load terminal and the sampling pin are both located outside the first side of the relay body along the Y-axis direction, and the sampling pin is connected with the load terminal and the electric control board; an isolation part which is located between the load terminal and the electric control board and used for at least partially separating the load terminal from the electric control board is arranged on the first side, in the Y-axis direction, of the relay body in a protruding mode, and the isolation part is provided with first through holes corresponding to the sampling pins. The electric control assembly comprises the relay. The electric meter comprises the electric control assembly. When the electronic control board is applied, the space utilization rate of the electronic control board is high, the area is small and the cost is lower.

The invention discloses an electric meter intelligent communication detection method and system based on a power line carrier, and relates to the technical field of electric meter communication detection, and the method comprises the steps: collecting the communication data of an electric meter at different time periods, inputting an electric meter communication state dynamic sensing model, analyzing features, and obtaining an initial evaluation result; channel characteristic parameters are calculated by using a carrier channel characteristic dynamic estimation algorithm based on the result, and the channel characteristic parameters are input into a power carrier signal demodulation optimization algorithm to generate an optimized demodulation scheme; signals are demodulated and data are verified according to the scheme, related results are uploaded to an electricity meter communication performance optimization management platform, and the platform evaluates performance and generates optimization suggestions and fault early warning. The system comprises a data acquisition unit, a state analysis unit, a channel calculation unit, a demodulation optimization unit, a data processing unit and a performance management unit which operate cooperatively. The communication state can be dynamically sensed, the channel characteristics can be accurately estimated, the demodulation process can be optimized, the integrated management of the communication performance can be realized, and the accuracy and reliability of the electric meter communication can be improved.

The invention discloses an electricity meter box abnormity early warning method and system based on Internet of Things data, and relates to the technical field of electricity meter box early warning. An electric meter box abnormity early warning system based on Internet of Things data comprises an electric meter box intelligent monitoring terminal, and the electric meter box intelligent monitoring terminal comprises an Internet of Things data acquisition unit, an electric meter box monitoring unit and an electric meter box early warning unit. According to the invention, by introducing a multi-source fusion mechanism based on Internet of Things data, real-time cooperative calculation of electrical parameters, environmental conditions and video monitoring information is realized; through full-dimension sensing of the operation state of the electric meter box, high stability and high precision identification capability can be maintained under complex electrical and environmental working conditions, so that the monitoring coverage and data reliability of the electric meter box are remarkably improved.

The invention discloses an error traceability analysis method and system for an electric energy meter, and relates to the technical field of electric energy metering error analysis, and the method comprises the steps: constructing a multi-source error data set covering the full operation cycle of the electric energy meter, and the multi-source error data set comprises field operation errors, indoor verification errors and full-life state data; performing time alignment and space mapping on the set to generate a space-time associated error data cube; calling a pre-training model to perform hierarchical analysis on the data cube, and extracting features to obtain a multi-dimensional error feature vector and a preliminary traceability hypothesis; quantifying the error contribution degree, and identifying key influence factors; and iteratively optimizing the traceability path, and generating a final traceability conclusion and a confidence evaluation report. According to the method, the problems of single data and inaccurate traceability in the prior art are solved, and the integrity and reliability of error traceability are improved.

This invention relates to the field of electricity meter operation monitoring technology, specifically to an intelligent analysis system for electricity meter operation faults based on sensor monitoring. The system includes: an operation status acquisition module, which collects the voltage, current, active power, reactive power, and power factor of the electricity meter and obtains the operation status at each moment; a periodic analysis module, which uses active power as a load parameter and obtains a basic period based on the load parameters within a preset time period, then segments the preset time period to obtain different time periods and obtains the period fit at each moment; and a fault monitoring module, which obtains the comprehensive rationality of the load linkage deviation at each moment; and uses the comprehensive rationality of the load linkage deviation at a moment and the period fit to correct the squared Mahalanobis distance corresponding to the data points composed of voltage, current, reactive power, and power factor at that moment, and uses the corrected squared Mahalanobis distance for fault monitoring. This application can effectively monitor the operation faults of electricity meters.

This utility model relates to an intelligent prefabricated MABR wastewater treatment equipment with enhanced denitrification effect. It includes a housing and an intelligent control system. The housing is internally divided by partitions and perforated walls into an influent buffer tank, an anaerobic tank, a MABR membrane tank, an aerobic tank, a sedimentation buffer tank, a sedimentation tank, a return tank, a disinfection tank, and an equipment room. The intelligent control system includes a cabinet housing a touch screen, circuit breaker, electricity meter, fuse, DIN rail socket, fuse terminal, power module, CPU module, isolator, distribution terminal, electromagnetic relay, DTU, contactor, thermal relay, incoming line terminal, and distribution terminal. This utility model overcomes the problems of low denitrification efficiency, high energy consumption, large footprint, low level of intelligence, and inconvenience for internal equipment maintenance and replacement associated with traditional integrated wastewater treatment equipment. It is mainly used for small-scale, decentralized domestic wastewater treatment with high total nitrogen and low carbon-to-nitrogen ratio.

This utility model discloses a universal communication module for electricity meters, relating to the field of communications. The universal communication module for electricity meters provided by this solution automatically collects the electricity data of the meter through an MCU, which greatly improves the efficiency of data collection compared to manual data collection. Furthermore, considering that the power supply system monitoring requires real-time acquisition of electricity data from all meters, this solution incorporates a wireless communication module and an antenna in the universal communication module. Because the wireless communication module has a long transmission distance, covering a range of several kilometers or even tens of kilometers, it can solve the long-distance communication needs that traditional communication technologies cannot meet. Therefore, after the MCU collects the electricity data from the meter, it sends it to the wireless communication module, converts it into a corresponding radio frequency signal, and accurately uploads it to the communication network through the antenna. This communication network enables the collection of electricity data over a long range, thus meeting the long-distance communication requirements of the electricity meter.

The invention belongs to the technical field of low-voltage transformer area topology identification, and particularly relates to an electricity-obtaining data-based electricity meter topology automatic hitching method and system. Comprising the following steps: acquiring an opening event of an intelligent tail-end circuit breaker through an intelligent fusion terminal of a low-voltage transformer area; the intelligent fusion terminal issues a closing instruction to the plurality of intelligent tail end circuit breakers in sequence according to a set time interval T; the intelligent fusion terminal receives the electricity obtaining time of the household meters reported after the household meters are electrified, and collects the closing time recorded by the intelligent tail end circuit breakers or the measuring switches; and carrying out clustering comparison on the electricity obtaining time of the household meters and the closing time recorded by the intelligent end circuit breakers or the measuring switches, and determining the hooking object of each household meter. According to the method, the electricity obtaining time of the household meters and the closing time recorded by the intelligent tail end circuit breakers or the measuring switches are subjected to clustering comparison, the hooking object of each household meter is determined, automatic hooking of the household meters is achieved based on the determined hooking objects, and the intelligence and automation degree of precise topology construction is improved.

1. Name of the product in this design: Electricity meter box. 2. Purpose of this design: This design is used for meter boxes for installing electricity meters. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses an engine connecting rod small head elliptical horn hole detection device and method, which comprises a supporting plate and a detection assembly; the detection assembly comprises a small hole detection head, the bottom of the small hole detection head is installed at the upper end of a first lifting assembly; a profile gauge needle in an L shape with a profile gauge is installed in the inner cavity of the small hole detection head, one end of the profile gauge needle is installed at the upper end of the first lifting assembly, and the other end penetrates through the small hole detection head and elastically abuts against the inner wall of the elliptical horn hole of the connecting rod to be detected; four air channels are arranged in the small hole detection head, one end of the air channels extends to the bottom of the small hole detection head; one end of the two air channels opposite in the radial direction is connected with the air outlet pipe of the gas-electricity meter through a tee joint, and the other end extends to the side surface of the small hole detection head respectively. The application has the advantages that the long and short axis sizes of the elliptical hole and the accurate measurement of the horn hole profile line can be simultaneously detected through one-time clamping, and the detection precision and the detection efficiency are greatly improved.

A feeder cabinet convenient to install a metering device comprises a cabinet body, the front side of the cabinet body is provided with a front door, the rear side of the cabinet body is provided with a rear door, the rear door is provided with an installation plate, the installation plate is provided with a plurality of metering watt-hour meters, the installation plate is provided with a plurality of wiring holes corresponding to the metering watt-hour meters, and a wiring area is formed between the wiring holes and the front door. As the mounting plate of the metering watt-hour meter is fixedly mounted on the cabinet rear door, that is, the metering watt-hour meter with 2-8 loops is arranged on the fixed mounting plate from top to bottom, so that the problems of mounting, wiring, overhauling and the like at present can be effectively solved; moreover, the wiring of a secondary terminal on the left side behind the cabinet, the outgoing line of a primary cable, and the installation and fixation of a current transformer at an outgoing line end are not affected. The installation mode is helpful for ensuring safe, reliable and efficient power distribution and ensuring safe operation.

The invention discloses a self-adaptive calibration method applied to an intelligent electric meter, and the method comprises the steps: collecting environment magnetic field data of the electric meter, and determining a magnetic field interference level based on the environment magnetic field data; and the calibration mode of the corresponding magnetic field grade is switched based on the magnetic field interference grade so as to adapt to a variable application environment, reduce the influence of the external magnetic field on the metering of the electricity meter, consider the metering precision and the operation efficiency, and avoid adopting a complex algorithm to calibrate under the condition that the influence of the external magnetic field is relatively small. The method comprises the following steps: S1, initializing an intelligent electric meter, acquiring metering data, and storing a standard waveform sequence, an initial metering parameter, standard power and a preset fitting coefficient; s2, acquiring and storing magnetic field data through a three-dimensional magnetic field sensor, and determining a magnetic field interference level based on the magnetic field data; s3, switching to a corresponding calibration mode according to the determined magnetic field interference level; and S4, collecting data and calculating electric energy according to the switched calibration mode.

1. Name of the product in this design: Rail-mounted energy meter housing. 2. Purpose of this design: For use in the housing of an electricity meter. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. Other situations requiring explanation: In the 3D diagram 1, parts A, B, and C are all transparent.

The invention provides a communication state test method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a communication configuration parameter corresponding to a test instruction in response to the test instruction; establishing a communication connection with a preset ammeter device according to the communication configuration parameter, and reading an electric power parameter of the ammeter device according to a preset time interval to obtain a reading result; and obtaining a communication state test result between the test equipment and the electric meter equipment according to the number of times of reading the electric power parameters by the test equipment and the reading result obtained by each time of reading. By applying the method provided by the embodiment of the invention, the communication state of the electric meter equipment can be effectively evaluated.

This invention relates to the field of electricity meter mounting equipment, and more particularly to a hook and an electricity meter using the same. The hook includes a hook body for mounting on the rear shell of the device. A long, narrow hole is formed in the middle of the hook body along its length. Length graduation lines are evenly spaced on the hook body outside the long, narrow hole. A nut is fixedly embedded inside the rear shell at a position corresponding to the long, narrow hole. A screw passes through the long, narrow hole, with its inner end threaded to the nut. The inner side of the screw's head abuts against the hook body. A horizontal groove is formed on the outer side of the screw's head, flush with the length graduation lines. This invention achieves stepless adjustment of the hook on the electricity meter with high precision, meeting the installation requirements of electricity meters in various scenarios.

The present invention relates to a method and system for identifying the wiring configuration and voltage rating of an electricity meter. The method involves measuring various voltage values, including phase and line voltages, relative to a virtual neutral point. A controller calculates effective values and phase angles from the measured voltages and performs a multidimensional analysis, including voltage ratio analysis, phase angle analysis, and zero-sequence voltage analysis, to determine the wiring configuration, such as a three-phase three-wire or three-phase four-wire configuration. The method also incorporates a voltage spectrum analysis, utilizing a Fast Fourier Transform (FFT), to determine the voltage rating. Multiple iterations of the identification process are performed to confirm the accuracy of the results. The system includes a voltage measurement unit, a processor, and a memory for executing the method. The invention improves reliability in wiring configuration identification and enables anomaly detection.