The invention discloses a fingerprint identification-based new energy car charging pile and a charging method. The fingerprint identification-based new energy car charging pile comprises a public charging pile, a fingerprint identification module is arranged on the charging pile and is used for collecting the fingerprint of a user, and automatically achieving recharge, the charging pile is provided with an automatic charging system for vehicle charging, the automatic charging system is controlled to open and close through the charging pile; the fingerprint identification module is integrated on the control system of the charging pile through an interface; the charging pile further comprises a communication module which is used for remotely transmitting data to an operator server, and receiving the executive signal of the operator server; the operator server is used for receiving the fingerprint information transmitted from the charging pile, and is provided with a memorizer which is used for storing the fingerprints. According to the fingerprint identification-based new energy car charging pile and the charging method, fingerprints are used as a basis, so APP is not needed to be downloaded for complex operations, such as registration, real name authentication, recharge and code scanning, and the charging operation process of the new energy car user can be greatly convenient.

Fingerprint identification-based new energy car charging pile and charging method

The invention discloses a sorting device and method for power meters taken down and back. The sorting device comprises a computer unit, a pressure joint unit, a vision unit, a printing unit, a standard signal unit and an error calculation unit, wherein the computer unit is used for having control over the other units, the pressure joint unit is used for carrying out automatic electrical connection on the different specifications of power meters taken down and back, the vision unit is used for photographing the power meters taken down and back, the printing unit is used for printing the sorting results on labels and attaching the labels on the bodies of the power meters taken down and back, the standard signal unit is used for generating standard signals, and the error calculation unit is used for measuring the errors of the power meters taken down and back. According to the sorting method, the power meters taken down and back are each placed on a pressure joint meter support to be photographed, the pressure joint unit carries out automatic pressure joint on each power meter taken down and back and the pressure joint meter support, the computer unit carries out all item tests on the power meters taken down and back and determines the sorting results, and then the printing unit prints the sorting results on the labels and attaches the labels on the bodies of the power meters taken down and back.

Sorting device and method for power meters taken down and back

The invention discloses a low-voltage diagnosis system on the basis of data acquired by an intelligent electric meter in real time The low-voltage diagnosis system comprises a data acquisition device, a data analysis module, a low-voltage cause case base and a diagnosis module The data acquisition device acquires the data by the aid of the intelligent electric meter, the low-voltage cause case base is constructed by the aid of low-voltage working condition data clustering standards determined by the data analysis module, and low-voltage causes and probability are intelligently diagnosed for to-be-diagnosed low-voltage working condition data by the diagnosis module on the basis of the low-voltage working condition data clustering standards and the low-voltage cause case base by the aid of big data feature comparison methods The low-voltage diagnosis system has the advantages that the intelligent electric meter in an intelligent power grid can be sufficiently utilized, the low-voltage cause case base can be scientifically and quickly formed by the aid of the tremendous data acquired by the intelligent electric meter, and features are compared with one another, so that the low-voltage causes can be intelligently diagnosed, and the probability can be computed

Low-voltage diagnosis system on basis of data acquired by intelligent electric meter in real time

A multifunctional electricity meter storage and transport vehicle is composed of a trolley portion, a damping structure and a box body. The box body comprises an upper portion and a lower portion, wherein an electricity meter taking and storage unit is arranged in the upper portion, and is structurally characterized in that the interior space is divided into a front portion and a rear portion by a partition plate, the two ends of a spring are fixed to the partition plate and the rear wall of a cavity respectively, and the partition plate has the tendency of forward compression; a pull rope is pulled, and therefore the partition plate moves backwards; a tract supporting body is arranged in the cavity, and a limiting structure and a rapid locking structure are arranged between the tract supporting body and the inner wall of the cavity; and a top plate and a cover are arranged on the upper top face of the cavity, and a drawer is arranged in the lower portion of the cavity. According to the multifunctional electricity meter storage and transport vehicle, first-in first-out of an electricity meter can be achieved, and an electricity meter storage area is naturally formed and is placed in a classified manner; area fixing is achieved; and when the electricity meter is taken and used, the first-in first-out principle of the electricity meter is achieved, and the deficiency existing in the previous scheme is overcome.

Multifunctional electricity meter storage and transport vehicle

The invention relates to an electric energy meter fault prediction method and apparatus. The method comprises the following steps: acquiring real-time running data of an electric energy meter, inputting the real-time running data into a preset fault judgment model and determining whether a fault occurs or not; if yes, converting currently determined fault information into a logic item adapting to a pre-built fault diagnosis excavation model which is an association rule model constructed by using an algorithm excavating the frequent item set of a Boolean association rule based on the historical fault information of the electric energy meter; and matching the logic item corresponding to the current fault information with the association rule in the fault diagnosis excavation model, and obtaining the fault prediction information corresponding to the current fault of the electric energy meter based on a matching result. The electric energy meter fault prediction method and apparatus can predict the running fault of the electric energy meter.

Electric energy meter fault prediction method and apparatus

The invention relates to an automatic detecting system and method for collection terminal functions. The system comprises a host, a program controlled power source, an analog meter and a detected device. The host is used for sending a control signal, receiving a detection result and analyzing a record. The program controlled power source receives the control signal sent by the host and outputs a detection electrical signal. The analog meter receives the detection electrical signal sent by the program controlled power source according to the detection mode of the host and generates an analog result. The detected device is connected with the host and the analog meter, and returns an analog result produced by the analog meter to the host. Compared with the prior art, the automatic detecting system and method have the advantages that repeated manual work is avoided, and the detection efficiency and accuracy are improved.

Automatic detecting system and method for collection terminal functions

The invention relates to an intelligent diagnosis system based on metering device failures. The intelligent diagnosis system comprises a data collecting and monitoring module, a meta event information generating module and a failure diagnosing and decision making module, wherein the data collecting and monitoring module is used for collecting and uploading related data according to collection frequency and transmission modes, the meta event information generating module is connected with the data collecting and monitoring module and used for comprehensively analyzing and preprocessing the related data collected through the data collecting and monitoring module, matching the collected related data according to the archival information of a user and generating meta event information through a meta event diagnosing model; the failure diagnosing and decision making module is connected with the meta event information generating module and used for carrying out relevance matching according to the meta event information provided by the meta event information generating module to achieve intelligent diagnosing of the metering device failures. Compared with the prior art, the intelligent diagnosis system has the advantages that information is effectively integrated, redundant information is removed, the diagnosing efficiency is improved, and the diagnosing accuracy is high.

Intelligent diagnosis system based on metering device failures

The invention relates to an operating data monitoring system and method for intelligent ammeters. By acquiring data of an electrical information collection system and a marketing business system and operating data of the intelligent ammeters, remote monitoring of the intelligent ammeters is achieved. The operating data monitoring system comprises a detection platform, an intelligent ammeter collection device and a communication network. The detection platform is connected with the electrical information collection system and the marketing business system through an internal network and used for remotely acquiring the operating data of the intelligent ammeters and performing analysis and evaluation. The intelligent ammeter collection device is used for performing on-site collection on the operating data of the intelligent ammeters distributed at different positions and transmitting the data to the detection platform. The communication network comprises a GPRS network, the Ethernet and a router. The far-end intelligent ammeter collection device is in communication with the detection platform through the communication network. Compared with the prior art, the operating data monitoring system and method for the intelligent ammeters have the advantages of remote real-time spot check setting and data collection and the like.

Operating data monitoring system and method for intelligent ammeters

The invention relates to a method for fault classification of a smart electric meter based on cluster analysis and a cloud model. The method comprises a step 1) of obtaining historical smart electric meter fault data sample points, and adopting a K-means algorithm to divide historical smart electric meter fault data sample points into K large fault classes and central values corresponding to each large class; a step 2) of taking the central values corresponding to each large class as sample means, taking smart electric meter fault data sample points contained in each large fault class as data points, and generating a corresponding K-class electric meter fault cloud model; a step 3) of adopting a reverse normal cloud generator to calculate the electric meter fault cloud model, and obtaining qualitative cloud characteristics of the electric meter fault cloud model; and a step 4) of subdividing the K large fault classes into a plurality of small fault classes according to the qualitative cloud characteristics. Compared with the prior art, the method has the advantages of qualitative analysis and fine classification.

Method for fault classification of smart electric meter based on cluster analysis and cloud model

The invention relates to the technical field of electric power. A vehicle identity identification automatic billing charging pile comprises an electric vehicle charging pile main body, wherein an identity identification system is arranged in the electric vehicle charging pile main body; the identity identification system comprises a non-contact radio-frequency identification device; the non-contact radio-frequency identification device is an NFC (Near Field Communication) reading device for acquiring information on an NFC sensing chip in a mobile phone of a user; the NFC sensing chip stores the identity information of a vehicle used by a user; a charging system for charging the vehicle is arranged in the electric vehicle charging pile main body; a signal input end of the charging system is connected with a master control system; the master control system is connected with the identity identification system; the master control system acquires the identity information of the vehicle through the identity identification system, and judges and analyzes a charging mode of the charging system. According to the vehicle identity identification automatic billing charging pile, the vehicle identity is identified in a non-contact NFC identification mode instead of the traditional contact IC (Integrated Circuit) card, so that the identification accuracy of the identity identification system is improved, and the identification range of the identity identification system is enlarged.

Vehicle identity identification automatic billing charging pile

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