1000 results about "Current electric" patented technology

The invention discloses a dynamic power distribution method for charging equipment of an electric vehicle charging station. The method comprises the following steps: acquiring real-time state data of an electric vehicle through a vehicle sensor and a charging equipment communication interface; obtaining the charging priority of the current electric vehicle based on the real-time state data; based on the charging priority and the real-time state data, the power distribution proportion of each vehicle is calculated by adopting a weighted distribution algorithm, and an initial power distribution scheme is obtained; obtaining an available power interval of a charging station based on peak-valley state data of a current time period monitored by a power grid monitoring system; and based on the initial power distribution scheme and the available power interval of the charging station, an adjusted power distribution scheme is obtained, and dynamic power distribution of the charging equipment of the electric vehicle charging station is completed. According to the invention, efficient utilization of charging station resources and intelligent scheduling of vehicle charging demands can be realized, and charging efficiency and user satisfaction are improved.

The invention discloses an accurate zero crossing point control method for a built-in relay of a large-current electric energy meter, which relates to the technical field of power electronics and intelligent metering and comprises the following steps of: receiving a power grid voltage digital signal, determining a voltage zero crossing point by comparing symbol changes of adjacent sampling values, establishing a phase corresponding relation between voltage and current, and calculating a current phase corresponding relation; generating current zero crossing point prediction data; when a relay switching instruction is received, the specific moment of the next current zero crossing point is calculated, and the control signal sending moment is determined; a relay driving control signal is sent, the actual action completion moment of the relay is collected, the deviation from the expected zero crossing moment is calculated, and the mechanical action delay time parameter of the relay is corrected. By predicting the current zero-crossing time and considering the mechanical action delay characteristic of the relay, accurate switching of the built-in relay at the actual current zero-crossing point is achieved, meanwhile, the self-adaptive adjusting capacity is achieved, the arc energy during large-current switching is reduced, the service life of the relay is prolonged, and the reliability of the electric energy meter is improved.

The invention relates to a self-moving device and a motion control method and system thereof, in particular to a motion control method and system suitable for a self-moving device of a double-wheel independent driving structure, the self-moving device and a medium, and aims to solve the problem that when the self-moving device of the double-wheel independent driving structure runs in a complex environment, the motion of the self-moving device cannot be controlled. The technical problem that a finer control strategy is needed in the face of core challenges such as violent load change, strong motor protection requirement and high motion stability requirement is solved. According to the motion control method of the self-moving equipment, the current rotating speeds and current currents of motors on the two sides are monitored in real time, the rotating speeds of the motors on the two sides are dynamically adjusted, the maximum output power is limited, constant acceleration smooth processing is adopted, the expected rotating speed in unit time is calculated, and it is ensured that the speed change is stable; and dynamically coordinating the rotating speeds of the motors on the two sides by utilizing a speed ratio adjusting strategy to keep a motion posture.

The invention discloses a direct-current hollow electrode hydrogen plasma furnace mineral powder smelting system and method and application, and belongs to the technical field of hydrogen metallurgy. The system comprises a hollow electrode gas powder injection hydrogen plasma gun system, a direct current bottom electrode ore-smelting electric furnace system, a fine ore and hydrogen supply system and the like. The hollow electrode and the furnace bottom electrode form a direct-current arc, hydrogen carrying mineral powder is sprayed into an arc area to generate high-temperature hydrogen plasma, mineral powder reduction is achieved, and metal and slag are separated. According to the method, hydrogen serves as a reducing agent, carbon emission is reduced, the reaction efficiency is high, energy consumption is low, and the method can be used for steelmaking, smelting of micro-carbon ferromanganese and titanium slag and recovery of valuable metal in nonferrous smelting waste slag and has good green metallurgy application prospects.

The invention discloses an intelligent charging and discharging strategy optimization method for a ship battery, and particularly relates to the technical field of battery management. Propulsion power data, auxiliary equipment power data and environment disturbance parameters generated in the ship operation process are collected, a high-frequency time sequence working condition input sequence is built, a load nonlinear evolution model is built through a multi-scale dynamic modeling algorithm, and a disturbance perception prediction sequence is generated; a heterogeneous state characteristic matrix is constructed by combining historical charging and discharging state records of a target battery and current sensing data, voltage sensing data and temperature sensing data, and then the state of charge and the state of health of the battery are evaluated; generating a multi-dimensional strategy candidate set by constructing an energy scheduling constraint map according to the evaluation results of the state of charge and the state of health of the battery; and selecting an optimal strategy path from the multi-dimensional strategy candidate set, outputting a target charging and discharging control instruction, and realizing comprehensive optimization control of dynamic sensing, state driving and strategy self-adaption of the ship battery.

The invention provides a vehicle control method and device, a vehicle and a storage medium, the method is applied to the technical field of hybrid power control, and the method comprises the steps that based on the current electric quantity of a power battery of the vehicle and the whole vehicle demand power of the vehicle, an initial driving mode of the vehicle is firstly determined; calculating the total power consumption corresponding to each of multiple candidate power distribution proportions in the initial driving mode, determining a target power distribution proportion in the multiple candidate power distribution proportions according to the total power consumption corresponding to each of the multiple candidate power distribution proportions, and finally determining the target power distribution proportion in the multiple candidate power distribution proportions based on the target power distribution proportion. And correcting the initial driving mode to obtain a target driving mode, and controlling the vehicle to run in the target driving mode. According to the method, the energy utilization efficiency of the whole vehicle can be maximized, it is ensured that the engine and the motor operate in respective efficient intervals as much as possible, and more stable power output can be provided for the vehicle under different road conditions.

The invention provides a multi-scale self-adaptive cooperative network construction type energy storage frequency modulation control system and method, and the system comprises a constant-voltage energy storage power supply which is used for providing DC electric energy; the three-phase inverter circuit is used for converting the direct-current electric energy into alternating-current electric energy and outputting the alternating-current electric energy to a power grid or absorbing the electric energy; the power calculator is used for calculating active power and reactive power output to the power grid by the three-phase inverter circuit; the battery SOH dynamic evaluation controller is used for outputting an SOH attenuation rate signal; the active loop controller is used for generating multi-scale adaptive frequency modulation data and sending the multi-scale adaptive frequency modulation data to the pulse adjustment controller; the reactive power ring controller is used for generating reactive power regulation data according to the power grid voltage deviation signal and sending the reactive power regulation data to the pulse regulation controller; and the pulse regulation controller is used for outputting a final pulse regulation instruction and a multi-scale cooperative control command to the three-phase inverter circuit. The oscillation risk is reduced, and long-term stable operation of the power system is guaranteed.

The invention discloses a high-precision charging pile direct-current electric energy metering method based on ripple compensation, and relates to the technical field of charging pile control. Dual-path signal acquisition and processing are executed to obtain a direct-current component metering result and ripple characteristic parameters; averaging the sampling points to obtain a high-frequency direct current component; subtracting the high-frequency direct-current component from the original sampling signal to obtain a pure ripple signal, performing FFT conversion and time domain analysis on the pure ripple signal, and extracting ripple characteristic parameters; according to the charging pile direct-current electric energy high-precision metering method based on ripple compensation, a main metering path and ripple analysis path dual-path architecture is adopted, the main path guarantees the direct-current component metering precision through a low-sampling-rate and high-precision ADC, the ripple path only extracts features rather than reconstructs waveforms, high hardware cost is not needed, and the charging pile direct-current electric energy metering precision is improved. Metering errors caused by ripples can be reduced to meet and be superior to national standard requirements. The transient scene is defined through the ripple mutation coefficient Ktrans and the ripple decay time tau, and the problem that the transient precision of a traditional method is out of control is solved.

The invention provides a state of charge estimation method, electronic equipment, a storage medium and a program product, which are applied to a battery system of a pure electric heavy truck. The method comprises the following steps: acquiring current temperatures, open-circuit voltages and current currents of a plurality of single batteries of a battery pack in a battery system, and a working mode of a battery box; aiming at each single battery, according to the current temperature and the open-circuit voltage, respectively determining a state-of-charge initial value and available capacity from a first mapping table and a second mapping table; according to the current, the state-of-charge initial value and the available capacity, determining a state-of-charge target value of the single battery; determining a first charge state estimated value of the battery pack according to the charge state target values of all the single batteries; and based on the working mode and a preset correction requirement, carrying out correction processing on the first charge state estimation value to obtain a second charge state estimation value of the battery pack. According to the invention, the battery system management efficiency of the pure electric heavy truck is optimized by improving the precision and adaptability of SOC estimation.

The invention provides an air-ground integrated reconfigurable intelligent surface energy transmission system, and belongs to the technical field of wireless power supply systems, and the system comprises a visual perception module which is used for obtaining image information of a monitoring area, carrying out the recognition and positioning of an energy receiving target based on the image information, and outputting a target coordinate; the control calculation module calculates phase regulation and control parameter coordinates required for driving the reconfigurable intelligent surface based on the received target; the energy transmission module dynamically adjusts the wavefront phase of the electromagnetic wave based on the phase regulation and control parameter coordinates to form an energy focus point at the position of the energy receiving target; the energy receiving module is arranged on an energy receiving target and used for receiving the electromagnetic energy at the energy focus point and converting the electromagnetic energy into direct-current electric energy. According to the invention, the three technical fields of high-precision real-time sensing, intelligent signal processing and advanced electromagnetic beam control are deeply integrated, and remote, high-efficiency and automatic charging for a plurality of freely moving devices is realized.

The invention relates to the technical field of electrical parameter measurement, in particular to an SOC prediction method and system applied to a lithium battery. The method comprises the following steps: collecting an electrical variable parameter set of the lithium battery in a current operation period, and determining an electric quantity change value and a change trend of terminal voltage; dividing a voltage response state of the lithium battery in each operation stage to determine an operation state mapping relation; predicting the state of charge of the lithium battery in the current operation period by using the operation state mapping relation; in response to the first change of the operation condition of the lithium battery, collecting a current electrical variable parameter set of the lithium battery to correct the operation state mapping relation; and predicting the state of charge of the lithium battery after the first change of the operation condition according to the corrected operation state mapping relation. The method is beneficial for dynamically adapting to unsteady state behaviors of the lithium battery in different working states, SOC prediction lag and fluctuation caused by working condition changes are effectively reduced, and the dynamic response capability and reliability of prediction are improved.

The invention discloses a sampling current calibration method and device of a power supply, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: collecting a current current value of the power supply; if the current value meets a preset calibration condition, obtaining a plurality of current sampling values under each load point in the power supply, obtaining a current average value based on the plurality of current sampling values, and comparing the current average value with a preset current theoretical value to obtain a linear relation between the current average value and the preset current theoretical value; and determining a current correction coefficient based on the linear relationship, and correcting the current value by using the current correction coefficient to obtain a calibrated current sampling value. The technical problem that the sampling current value of a traditional voltage calibration method has deviation and the accuracy of power supply control is reduced is solved, and the technical effect of improving the accuracy of power supply monitoring is achieved by correcting the sampling current value of the power supply.

The invention provides a bus voltage adjusting method of a compressor, the compressor and electronic equipment. The bus voltage adjusting method of the compressor comprises the steps that the current current of the quadrature axis of a motor corresponding to the compressor and the current rotating speed corresponding to the compressor are collected; determining whether the current meets a first preset condition or not, and determining whether the current rotating speed meets a second preset condition or not; and when one of the first preset condition and the second preset condition is met, increasing the bus voltage of the compressor. According to the bus voltage adjusting method of the compressor, one of the current current of the quadrature axis of the electrode corresponding to the compressor and the current rotating speed of the compressor serves as a reference, so that the bus voltage is increased, the rotating speed of the compressor can be guaranteed, and the overall efficiency and performance are improved.

The invention discloses a dynamic electromagnetic shielding method for a complex electromagnetic environment and a shielding device thereof, and the method comprises the steps: obtaining real-time voltage data in the complex electromagnetic environment, carrying out the voltage feature analysis, outputting a feature vector of a real-time voltage signal, and analyzing the type of an interference source of a current electric field according to the feature vector, performing interference trend time sequence prediction processing on the feature vector through a pre-trained LSTM model according to the interference source type to obtain a time domain voltage value and a phase deviation value, and performing composite loss coefficient calculation on the time domain voltage value and the phase deviation value to obtain a composite loss coefficient; and performing reverse offset signal synthesis processing on the voltage interference signal according to the calculated composite loss coefficient, performing coil dynamic activation processing on a preset multi-coil array according to the synthesized reverse offset signal, generating a directional offset magnetic field corresponding to the real-time electromagnetic interference, and performing electromagnetic offset shielding on the current electromagnetic interference. According to the invention, transient interference can be responded in time, and the electromagnetic shielding effectiveness can be improved.

The invention discloses a high-efficiency charging method and system for a storage battery, and relates to the technical field of battery charging, and the method comprises the following steps: S1, detecting the state of the battery, firstly detecting the current electric quantity, voltage, temperature state and charge-discharge cycle index information of the battery before charging, S2, setting charging parameters, and according to the state information of the battery, determining the charging time of the battery; current and voltage are set, when the electric quantity of the battery is low, large charging current is adopted for rapid charging, and the charging current is gradually reduced along with the increase of the electric quantity; s3, real-time monitoring and adjustment are carried out, in the charging process, the electric quantity, voltage and temperature information of the battery are monitored in real time, and the charging current and voltage are dynamically adjusted according to the monitoring information; and S4, charging completion detection is carried out, and charging is automatically stopped. According to the invention, the battery parameters are monitored and fed back in real time, the parameters in the charging process are adjusted in real time, the problems of overheating and overcharging of the battery are effectively avoided, and the service life of the battery is prolonged.

The invention discloses a low-voltage distribution box temperature rise abnormity identification method based on an improved fuzzy clustering algorithm. The method comprises the following steps: S1, generating a temperature-current synchronous acquisition data set according to a time sequence; s2, constructing a load-temperature difference weight matrix in combination with the current current amplitude; s3, obtaining a current membership matrix and a cluster center set; s4, calculating the membership slip amount of each measuring point according to the current membership matrix and the membership matrix at the previous moment, and generating a temperature rise trend state sequence; s5, judging whether the temperature rise trend state sequence has a measuring point which continuously slides from the normal cluster to the risk cluster or not; if yes, corresponding cluster centers in the corresponding cluster center sets are extracted and mapped to the physical coordinates according to the measuring point index table, and positioning information containing the measuring point numbers, the types of the electrical parts and the risk levels is generated. According to the invention, the fault positioning accuracy and the operation and maintenance efficiency are greatly improved.

The invention discloses an electronic equipment power consumption management method and device, a storage medium and electronic equipment.The electronic equipment power consumption management method comprises the steps that the current battery electric quantity and the current electric quantity threshold value of the electronic equipment are obtained, and the current electric quantity threshold value comprises a first threshold value and a second threshold value; comparing the current battery electric quantity with a first threshold value and a second threshold value respectively; when the current battery electric quantity is greater than a first threshold value, keeping normal operation of all service modules; when the current battery electric quantity is smaller than or equal to a first threshold value and larger than a second threshold value, the branch service module is closed, and the working frequency and the DDR frequency of the main service module are reduced; and when the current battery electric quantity is smaller than a second threshold value, further reducing the working frequency and the DDR frequency of the main service module. According to the scheme, the cruising ability of the electronic equipment can be enhanced.

The invention discloses an electric spark nondestructive testing evaluation method for the integrity of a waterproof layer of a cable trench, and belongs to the technical field of nondestructive testing, and the method comprises the following steps: applying a multi-frequency electric signal through a preset moving electrode; the initial contact pressure of the moving electrode and the surface of the waterproof layer is obtained in real time, the pressure of the contact position of the moving electrode is adjusted, an electric spark signal generated at the defect position of the cable trench waterproof layer by a multi-frequency electric signal applied by the moving electrode is captured, and characteristic parameters of the electric spark signal are extracted to generate current electric spark characteristic data; utilizing the current electric spark characteristic data to distinguish defect types so as to generate a defect evaluation result; and outputting defect distribution information and triggering an acousto-optic alarm according to a defect evaluation result. According to the method, a detection mode of combining multi-frequency electric signal excitation and electric spark signal feature extraction and analysis is adopted, waterproof layer defect types can be distinguished, the severity of the waterproof layer defects can be evaluated, and the detection accuracy is improved.

The invention relates to a control method of an electric cleaning brush and the electric cleaning brush. The control method of the electric cleaning brush comprises the steps that the current current of a motor in the electric cleaning brush is obtained, and comparison current is obtained; comparing the current current with the comparison current to obtain a comparison result; and adjusting working parameters of the motor according to a comparison result. According to the control method of the electric cleaning brush, the current actual rotating speed condition of the motor can be obtained by obtaining and comparing the working current of the motor, the action parameters of the motor are adjusted, and the rotating speed of the motor is stabilized. Therefore, when the cleaning condition of the electric cleaning brush is changed, such as the change of the cleaning target surface or the change of the smudginess degree, the resistance of the brush head is changed, and the rotating speed of the motor is changed, the control method of the electric cleaning brush can adjust the motor in time, and the cleaning effect is ensured.

The invention relates to the technical field of electricity testing devices, in particular to a non-contact electricity testing device for alternating current and direct current overhead line mixing and an electricity testing method.The non-contact electricity testing device comprises a moving plate and an electrode plate, the moving plate is rotationally arranged, and the moving plate and the electrode plate are arranged in the extending direction of the rotating axis of the moving plate; metal coatings are arranged on the surfaces, close to and away from the movable plate, of the electrode plates. Through the design that the moving plate and the electrode plate are arranged in the direction of the rotating axis, the double-sided metal coating structure of the electrode plate is combined, the alternating-current and direct-current electric field is detected through one device, integration of the electricity testing device is achieved, and the operation efficiency is improved.

The embodiment of the invention provides tumor electric field treatment equipment. The tumor electric field treatment equipment according to the embodiment of the invention comprises an AC signal generator configured to generate an AC electric signal with a specific frequency; an AC signal controller configured to generate a control signal to alternately apply the AC signal generated by the AC signal generator to at least two pairs of electrodes; and the at least two pairs of electrodes are configured to generate an alternating electric field used for tumor treatment based on the alternating current electric signal, the alternating current electric signal has a descending stage of which the amplitude is reduced along with time, and in the descending stage, the amplitude of the alternating current electric signal is reduced along with time. The decreasing rate of the amplitude of the alternating-current electric signal is increased along with the decreasing of the amplitude of the alternating-current electric signal.

The invention discloses an NFC trigger control method integrating wireless charging and automatic data backup, and relates to the field of data backup. The method comprises the following steps: realizing equipment identity authentication and electric quantity information acquisition through an NFC trigger mechanism, dynamically calculating target charging power based on the current electric quantity, and monitoring the equipment temperature in real time in a wireless charging process. By calculating the difference value between the working upper limit temperature and the real-time temperature of the storage chip, a pre-trained reading frequency determiner is used for intelligently generating a real-time reading frequency parameter, and the working state of the storage chip in the data backup process is dynamically regulated and controlled. A cloud collaborative optimization mechanism is further introduced, the confidence coefficient weight of each determination unit is dynamically adjusted according to historical accuracy data, and self-adaptive optimization of the reading frequency determiner is achieved. According to the method and the device, the problem of equipment overheating during concurrent execution of wireless charging and data backup is effectively solved, the balance of charging efficiency, backup safety and equipment thermal management is realized, and the user experience is remarkably improved.

The invention discloses a heavy-load freight direct-current electric locomotive on-board platform and a train operation curve calculation method. Step-by-step iterative optimization is carried out through a dynamic programming algorithm. Presetting operation steps and step lengths, and defining a selectable action set in each step length; and with the current state of the train as a starting point, evaluating each action in the action set in each iteration step, and calculating the next train state which may be transferred to. And evaluating all possible train state changes by adopting a target cost function, sorting according to the cost values from small to large, and preferentially selecting the action with the minimum cost value for subsequent calculation. And if all the action cost values of the current step exceed the limit, backtracking to the previous iteration step for reselection. And after iteration to the maximum step number, storing all train state changes, and finally obtaining an optimal train operation curve under the constraint of the target function. The method optimizes a control strategy through a dynamic programming algorithm, improves prediction precision, optimizes action selection, accelerates convergence, reduces redundancy, and improves operation stability, safety and algorithm efficiency.

According to the hydrogen fuel heavy truck energy management method provided by the invention, according to the current electric quantity of a power battery, the optimization objectives of reducing or maintaining the temperature of a battery cell group of the power battery and reducing the hydrogen consumption of a fuel battery system are taken; according to the minimum value of the power system boundary power, the power battery boundary power, the fuel cell system boundary power and the management strategy boundary power as the fuel cell system target power in the current state, the output power of the fuel cell system is adjusted within the minimum variable power time allowed by the fuel cell system; and the endurance of the whole vehicle is prolonged while the dynamic property is considered.

The invention provides a battery changing cabinet charging power adjusting method and device, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining the current electric quantity of a rented battery; the rented battery is a battery which is being used in an operation area corresponding to the battery changing cabinet; and based on the current electric quantity of the rented battery, adjusting the charging power of each to-be-rented battery in the battery replacement cabinet. According to the method and the device provided by the invention, the battery replacement cabinet can meet the use requirement of a user on the battery in time, the waiting time of the user for replacing the battery is shortened, the operation efficiency is improved, and the user experience is improved.

The invention discloses a range-extending power generation control device and method for a range-extending vehicle, and the method comprises the steps: enabling the vehicle to enter a mute mode when responding to a mute instruction, enabling a range extender to operate at an NVH optimized working condition point through responding to a first torque request and a first rotating speed request, and enabling the range extender to operate at an NVH optimized working condition point; meanwhile, the range extender is controlled to be switched to a sub-mode in a mute mode according to the current electric quantity state of the battery; and when the mute instruction is not responded, the vehicle enters a normal mode, the range extender is made to operate at the minimum oil consumption rate working condition point by responding to the second torque request and the second rotating speed request, and meanwhile the range extender is controlled to be switched to a sub-mode in the normal mode according to the current electric quantity state of the battery. The problems of high noise and poor user experience caused by neglecting the NVH demand in the power generation control of the existing extended-range automobile are solved, and meanwhile, the low oil consumption demand and battery protection are considered.

The utility model relates to the technical field of automobile steering, and discloses a multi-stage gear type all-electric power steering device which comprises a control module and a power steering module. The control module comprises at least two steering control units which are connected with each other through SPI (Serial Peripheral Interface) signals; the power-assisted steering module comprises a power-assisted motor, a gear transmission mechanism, a planetary gear mechanism, a worm and gear mechanism, a shell, an input shaft and an output shaft, the power-assisted motor is arranged on the shell, the gear transmission mechanism, the planetary gear mechanism and the worm and gear mechanism are arranged in the shell, and the power-assisted motor is in transmission connection with the gear transmission mechanism; the planetary gear mechanism is connected with the gear transmission mechanism, and the worm and gear mechanism is connected with the planetary gear mechanism. The multi-stage gear type all-electric power steering device solves the limitation of an existing electric power steering device in the application field of commercial vehicles, and the pure electric steering device which is efficient, energy-saving, light and convenient in steering and good in controllability can be provided for passenger and goods commercial vehicles.

The invention discloses a transformation control method of an electronic transformer for a microwave oven, and belongs to the technical field of transformation control of electronic transformers, the method comprises the following steps: continuously collecting voltage data points through a sensor, carrying out time division according to a voltage range, and continuously obtaining use state data of an electric appliance; establishing a voltage-time relation model, fitting daily periodic fluctuation, and generating a predicted voltage fluctuation curve; before the microwave oven is used, the use time point is aligned with the voltage fluctuation curve, the predicted voltage is compared with the actual voltage of the current electric appliance use state, the voltage deviation is obtained, the obtained voltage deviation is used for correcting the preset heating power parameter, and the corrected parameter is used for rapidly switching the element to drive the electronic transformer. According to the method, the electronic transformer can adapt to power grid fluctuation in advance, the power deviation caused by voltage jump is effectively reduced by pre-judging the power grid state and adjusting the switch time sequence parameters in advance, and the control logic in different voltage scenes is optimized.

The invention discloses a method for improving the precision of a measuring circuit based on an intelligent fusion terminal, a concentrator and an electric energy meter. The method comprises the following steps: controlling the intelligent fusion terminal to obtain current power consumption data, current current phase data and current voltage phase data in a subordinate electric energy meter corresponding to the intelligent fusion terminal; obtaining a first phase difference between current and voltage in the electric energy meter according to the current current phase data and the current voltage phase data; obtaining a power utilization compensation coefficient corresponding to the first phase difference according to the first phase difference and a phase difference-compensation coefficient function relationship; compensating the current power consumption data according to the power consumption compensation coefficient to obtain actual power consumption; and controlling to send the actual electricity consumption and the corresponding electric energy meter to a concentrator for data processing. The power consumption is compensated, so that the precision of the measuring circuit is improved.

The invention discloses an intelligent prompting method and system based on a high-protection intelligent electric energy meter, and the method comprises the steps: obtaining a current detection time interval corresponding to an intelligent prompting instruction, and obtaining a temperature sequence, a humidity sequence and a corrosion degree value sequence corresponding to the current detection time interval, so as to form a current electric energy meter environment parameter sequence; after sequence feature analysis is carried out in combination with a current electric meter environment parameter sequence collected by the high-protection intelligent electric energy meter, intelligent analysis is carried out on a current electricity utilization data set collected in a current detection time interval and the current electric meter environment parameter sequence in the high-protection intelligent electric energy meter, an edge server or a cloud server; therefore, the remote automatic detection of the fault of the high-protection intelligent electric energy meter and the timely intelligent fault prompt can be realized.