191 results about "Coulombmeter" patented technology

The invention discloses a battery capacity predicting device and a battery capacity predicting method. A battery pack is built in or externally connected with the battery capacity predicting device. The battery capacity predicting device comprises a battery capacity algorithm equation. A data base is memorized by means of a microprocessor executing equation and memorized in an overwriting non-volatile memorizer. An open loop voltage meter, a current gain meter and a capacity transformation equation are built in the data base. A predicted battery discharge curve is calculated according to measured load current and battery temperature by means of the battery capacity algorithm equations, and then the data base is amended according to a coulombmeter, the battery discharge curve and battery terminal voltage.

The invention discloses a fiscal electricity meter for measuring energy supplied to a load. The load current flows through the primary coil of a sensor and induces an EMF (Electromotive Force) that can represent the current flowing in the secondary coil. The secondary coil includes a sensing winding arranged to couple more strongly to the primary coil and a canceling compensation winding having the same and opposite multi-turn conductor areas so as to provide an inactive response to an external magnetic field. The windings are arranged so that their magnetic axes are coaxial and aligned so that they also provide ineffective response to external magnetic fields with field gradients.

The invention relates to an electric atomizer, in particular to an electric atomizer capable of utilizing solar energy and electric energy to provide energy. The electric atomizer comprises an electric atomizer main unit and an atomizing rod, the electric atomizer main unit comprises a drug box, a solar cell panel, a control circuit board, a storage battery, a diaphragm pump, a socket, a coulombmeter, a power source switch, a pressure adjusting knob, a voice prompting loudspeaker and a back strap, the control circuit board, the storage battery and the diaphragm pump are all arranged at the bottom of the drug box, a water inlet of the diaphragm pump is connected with a water outlet of the diaphragm pump, a water outlet of the diaphragm pump is connected with a soft atomizing pipe, the solar cell panel and the socket are both in circuit connection with the storage battery, and the storage battery is sequentially connected with the power source switch and the control circuit board. The problem that existing electric atomizers are long in charging time and short in working time is solved, and the objective of atomizing can be achieved by taking the electric energy converted from the solar energy which is a natural resource as a power source, so that energy resources are saved, and high automation level and high efficiency are realized; atomizing can be controlled by directly utilizing the electric energy to prevent weather from influencing electricity supply.

The invention relates to a method and system for determining the loss of a low-voltage transformer area based on power consumption collection data, and the method comprises the steps: obtaining the power consumption high-frequency collection data of each user sub-meter in a first preset time period, and obtaining the power supply metering value of a transformer area total meter in each second preset time period, obtaining freezing power consumption of each user sub-table in each second preset time period; determining a transformer area line loss expression of the low-voltage transformer area in each second preset time period; determining a statistical line loss equation of the low-voltage transformer area in each second preset time period; establishing a statistical line loss equation set,and solving according to the power consumption high-frequency acquisition data, the power supply metering value and the frozen power consumption so as to determine the metering error of each user sub-meter in the low-voltage transformer area, the fixed loss of the transformer area and the equivalent resistance of each branch; and substituting the metering error of each user sub-meter in the low-voltage transformer area and the equivalent resistance of each branch into a transformer area line loss expression, and determining the transformer area line loss of the low-voltage transformer area.

The invention provides a battery management system power calculation method comprising the following steps: S1, detecting the charging and discharging characteristics of a battery under different preset temperature ranges and different preset charging and discharging ratios, and establishing a charging and discharging chemical model through a database based on obtained test data; S2, determining a series of battery state-of-charge change values under different preset temperature ranges and/or different preset charging and discharging ratios according to the charging and discharging chemical model database; and S3, calculating the battery power and selecting a corresponding battery state-of-charge change value according to the current temperature and charging and discharging ratio in order to calibrate the battery power. Compared with the prior art, the electrochemical model of the battery under the influence of temperature and the electrochemical model of the battery under the influence of ratio are established, the two factors are intelligently associated with the state of charge of the battery, and accurate and intelligent power calculation can be achieved in practical use.

The invention discloses a battery remaining capacity detecting method of a mobile terminal and a device thereof. The battery remaining capacity detecting method includes the following steps that: A, the open-circuit voltage of a battery is calculated according to the temperature of the battery, the value of the internal resistance of the battery and the current of the battery at present; and B, a preset temperature, voltage and capacity relationship matrix is queried according to the temperature of the battery and the open-circuit voltage, so that a corresponding battery remaining capacity percentage can be obtained. With the battery remaining capacity detecting method of the mobile terminal and the device thereof of the invention adopted, the battery remaining capacity percentage can be still obtained without a coulombmeter; cost can be decreased; space can be saved for a circuit board; and the problems of high cost and space occupation of the circuit board of an existing mobile terminal which are caused by a situation that the existing mobile terminal can accurately display battery remaining capacity percentages assuredly only with an expensive coulombmeter required can be solved.

The invention discloses a coulombmeter case, which comprises at least two case bodies, a case cover and other assembly devices, wherein the lower part of each case body is provided with a routing channel, a routing channel clapboard and a switch base; the routing channel clapboard divides the routing channel into an upper layer and a lower layer; moreover, the lower end of each case body is divided into a wire lead-in chamber and a wire lead-out chamber through a vertical clapboard and a wire-pressing block. The coulombmeter case has the characteristics of safety, economical efficiency, electricity stealing prevention, multiple functions, simple manufacturing process, strong commonality and flexible configuration, etc.

The invention discloses a method for measuring the daily line loss of medium-voltage user equipment; by the accurate medium-voltage user daily electric quantity, the precise numerical value of daily line loss of the medium-voltage user equipment is obtained. The method comprises the concrete steps: obtaining a standing book of a medium-voltage user ammeter; obtaining an intraday reading of the medium-voltage user ammeter from a usage and collection system; under normal circumstances, directly calculating to obtain a daily normal electric quantity of the medium-voltage user according to a electric quantity computational formula; considering specially for a special state of the ammeter; applying the obtained daily electric quantity of the medium-voltage user to line loss computation, so as to obtain the accurate daily line loss of the medium-voltage user equipment. According to the method, by the accurate daily electric quantity of the medium-voltage user, the precise numerical value of the daily line loss of the medium-voltage user equipment is obtained, and a powerful basis is provided for loss reduction analysis.

The invention discloses a transformer loss detection device, comprising a high-voltage gauge, a low-voltage gauge, a signal receiver, and an information processing apparatus. The high-voltage gauge comprises a first voltmeter, a first ammeter, a first coulombmeter, and a first signal emitter. The low-voltage gauge comprises a second voltmeter, a second ammeter, a second coulombmeter, and a second signal emitter. The first signal emitter and the second signal emitter respectively communicate with the signal receiver in a remote manner. The signal receiver communicates with the information processing apparatus. The external part of the information processing apparatus is provided with a display and an alarm device. Through the above method, the transformer loss detection device monitors energy consumption, voltage, and current data of the input end and the output end of a transformer, and the data is transmitted to the information processing apparatus through the signal emitters, so as to analyze the data and warn, providing convenience for finding problems of abnormal loss and circuit overload, adjusting the problems in time, and preventing damages of the transformer.

A method for calculating electricity quantity and electric charge based on time intervals is characterized by comprising the steps of calculating the electricity quantity and calculating the electric charge, wherein the electricity quantity calculating step comprises the sub-steps of reading the electricity quantity, calculating lost electricity quantity of a transformer and lost electricity quantity of a line, and the electric charge calculating step comprises the sub-steps of calculating electrical degree charge, calculating basic electric charge, calculating power rate electric charge and adding up customer electric charge. By adopting the method for calculating the electricity quantity and the electric charge based on the time intervals, a method for calculating the electric charge monthly is broken, and the purpose of calculating the electricity quantity and the electric charge based on the time intervals, such as seconds, minutes and hours is achieved.

The invention discloses a domestic electricity intelligent monitoring system based on an intelligent electric meter. The system comprises an STM32 controller, a WIFI wireless communication module, a Zigbee coordinator, a network server and a coulombmeter, wherein the coulombmeter is in wireless connection with the Zigbee coordinator, the STM32 controller is respectively in communication with the WIFI wireless communication module and the Zigbee coordinator, and the network server is respectively in wireless connection with a mobile terminal and the WIFI wireless communication module. The coulombmeter collects the power consumption condition of electric appliances, the network server sends the power consumption condition to the mobile terminal, so that a user can timely know the power consumption of the electric appliances, thereby providing convenience for the user to manage the electric appliances. The system can be used in the technical field of smart home.

The invention discloses an intelligent electric meter for recording electric energy transactions based on a blockchain technology. The intelligent electric meter comprises an electric quantity module,a blockchain application module, a data storage module and a control module. The electric quantity module is used for metering the electric quantity of the intelligent electric meter; the block chainapplication module is used for managing and controlling power transactions of the intelligent electric meter in a block chain network; and the data storage module is used for electric quantity metering of the electric quantity module and storage of electric power transaction data in the block chain application module. The block chain technology is adopted to broadcast the electric energy transactions in the block chain, transaction data cannot be tampered, traceability is achieved, resource waste caused by mining of block chain nodes is effectively avoided, and the system can operate more cleanly and efficiently.

The invention discloses a metering method based on distributed electric energy, an error detection method and an error detection device. The metering method comprises the steps of: sampling electric energy parameters in a system according to the pre-set sampling period, so that a sampling value is obtained; for the start time and the end time, performing interpolation calculation by respectively utilizing the sampling value, so that a theoretical sampling value is obtained; multiplying the active power corresponding to the sampling interval by the sampling interval to obtain the sampling electric energy, and multiplying the active power corresponding to the start time by the time from the start time to the first sampling time point to obtain electric energy at the start time; multiplying the active power corresponding to the end time by the time from the start time to the last sampling time point to obtain electric energy at the end time; and adding the sampling electric energy, the electric energy at the start time and the electric energy at the end time, so that the electric energy metering value in the electric energy metering time is obtained. By means of the metering method based on distributed electric energy, the error detection method and the error detection device in the invention, the distributed electric energy metering accuracy and reliability can be improved; and simultaneously, field check of an electricity meter can be realized.

The invention discloses a power distribution cabinet coulombmeter automatic identification device and identification method based on image processing. The device is mainly composed of two parts: a hardware device based on an embedded MCU processor and a FreeRTOS operating system, and a novel straight line segment image detection algorithm program running on the hardware device. Software programs mainly comprise a FreeRTOS operating system and a novel straight line segment image detection algorithm program running on the operating system. Compared with the prior art, the real-time performance and effectiveness of data processing are improved, and meanwhile, in a ubiquitous electric power internet-of-things scene, through high-definition image acquisition and modularized circuit design, two steps of acquisition and image recognition are separated, acquisition is performed at the front end, recognition is performed at the rear end server, therefore, the invention can be applied to the embedded field in a large scale, and meanwhile, in the reading process of the pointer type instrument, operation such as complicated information input is not needed, and the purposes of high automation and high precision are achieved.

The present invention relates to a virtualization structure for a power/power amount and power quality analyzing apparatus, and a method for acquiring, transmitting and processing meter data using same, whereby an IoT sensor, provided to each inlet line of each distribution board of a facility, transmits, via at least one gateway installed on a network, power data corresponding to power consumed by electrical devices electrically connected to each of the distribution boards, and the power data acquired from each of the IoT sensors are analyzed, and thus electrical physical quantities, such as power/the power amount consumed in the facility and/or power quality, are remotely analyzed and provided.

The present invention relates to the technical field of battery detection, and in particular, to a battery detection method, comprising: step S1, selecting, within a preset voltage interval, a preset number of voltage calibration values according to a rated parameter of a battery; step S2, performing charge and discharge tests on the battery, and recording a coulometer reading and a charge and discharge curve, corresponding to each voltage calibration value, of the battery; and step S3, calibrating the charge and discharge curve on the basis of the coulometer readings. The technical solution can acquire an accurate battery charge and discharge curve, is not limited by the calibration platform provided by the manufacture, can adapt to various battery models, and has high reliability and real-time performance.

The invention discloses an energy consumption metering method and device and an electric appliance. The energy consumption metering method comprises the following steps of acquiring working data of aunit, judging whether the working data contains electric meter electric quantity data or not, if not, inputting operation data in the working data into a preset energy consumption metering model to obtain a power consumption calculation value, and taking the power consumption calculation value as actual power consumption, and if so, correcting the preset energy consumption metering model accordingto the operation data in the working data and the electric meter electric quantity data by taking the electric meter electric quantity data as actual power consumption. According to the method, the energy consumption metering model is continuously corrected and optimized in the operation process of the electric appliance, and the actual power consumption of the electric appliance is accurately and quickly metered.

The invention discloses a lithium ion battery capacity detection method. According to the method, first voltage at two ends of a battery is obtained when the battery is full of electricity and the first voltage is sent to an analog-digital converter; analog signals of the first voltage are converted into digital voltage values through the analog-digital converter, and average calculation is carried out on a preset quantity of continuously sampled digital voltage values to obtain first average voltage corresponding to the first voltage; and available voltage of the battery is determined according to a difference value between the first average voltage and preset discharging termination voltage, and a total capacity of the battery is calculated according to a preset voltage-capacity corresponding table. The invention furthermore discloses a lithium ion battery capacity detection device and a readable storage medium. According the lithium ion battery capacity detection method and device and the readable storage medium, the total capacities of batteries can be estimated according to voltage of the batteries without using a coulombmeter, so that the power management design is simple andreliable and the capacity estimation is close to real value, thereby reducing the material cost and time cost of electronic products.

The invention relates to a residential electricity consumption load prediction method based on multi-model fusion, a medium and equipment, and the prediction method comprises the following steps: constructing a plurality of prediction models for residential electricity consumption prediction, obtaining residential electricity consumption data xi (i = 1, 2,..., t-1) as a training set, and training each prediction model by using the training set; each prediction model predicts and obtains the predicted electricity consumption at the moment t based on the resident electricity consumption data xi, i = 1, 2,..., t-1, the moment t has known real electricity consumption, and the corresponding relative error of each prediction model is calculated based on the predicted electricity consumption and the real electricity consumption; calculating a confidence factor of each prediction model based on the relative error of each prediction model; each prediction model performs prediction based on the resident electricity consumption data xi, i = 1, 2,..., t to obtain a resident electricity consumption prediction result at the t + 1 moment; and performing fusion processing based on the confidence factor of each prediction model and the resident electricity consumption prediction result to obtain a final prediction result at the t + 1 moment. Compared with the prior art, the method has the advantages of wide application range, high prediction precision and the like.

The invention belongs to the technical field of electric power system dispatching operation, and discloses an intra-day rolling optimization scheduling method considering electric quantity coordination. By introducing a goal planning method, maximum new energy consumption, tracking of a day-ahead output plan, tracking of a day-ahead electric quantity plan including contract decomposition electric quantity and minimum electric quantity plan completion rate deviation are taken as multiple targets, and power grid and unit state information, new energy prediction output information and daily plan electric quantity completion conditions which are acquired in real time are comprehensively considered. A dynamic rolling intra-day optimization scheduling model enables the power generation plan after rolling correction to improve the absorption of new energy, achieves the balance control of the completion progress of the unit daily electric quantity plan, solves the problems that the unit daily electric quantity control is difficult to adapt to the change of a power grid operation environment and is highly dependent on manual intervention, and ensures effective and fair execution of the daily electric quantity plan of the power plant.

The invention discloses an electricity consumption statistical method and device, equipment and a storage medium. The method comprises the following steps: acquiring original electric energy data for metering the electricity consumption of an electricity consumer; determining electric energy data with abnormal numerical fluctuation in comparison with preset reference electric energy data in the original electric energy data as abnormal electric energy data; querying the number of electricity users using the same metering device to represent the types of the electricity users; calculating an electric quantity difference between the abnormal electric energy data and the reference electric energy data based on the type; and performing exception processing on the electricity consumption of the electricity consumer according to the electricity quantity difference. According to the scheme, electric quantity metering data checking is carried out for different electricity user types, data disorder in the electric quantity statistics process can be avoided, the electric quantity differences corresponding to the different electricity user types are calculated, the electricity consumption data of the electricity users are automatically corrected through the electricity consumption differences, metering faults can be recovered in time, and the manpower and material resource cost in the electric quantity data statistics process is saved.