128results about How to "Reduce complaints" patented technology

The invention relates to power distribution network fault processing equipment applied to the technical field of power distribution, and aims to improve the fault prediction, diagnosis and processing capabilities of a power system. The equipment comprises a pre-training module, a neural network architecture module, a data acquisition layer, an edge calculation layer, a core processing layer, a context learning module, a reasoning processing module, an output and interaction layer and a continuous learning and improvement layer, and is characterized in that a large-scale pre-trained Transform model is utilized, and professional knowledge of a power system is combined; according to the method, deep understanding and analysis of a complex power grid state are realized, through multi-source data fusion, edge calculation and central cooperative processing, the equipment can monitor the power grid state in real time, accurately predict potential faults and provide intelligent diagnosis and repair suggestions, and model pre-training and optimization are performed by adopting self-supervised learning and federated learning technologies; using reinforcement learning to optimize a fault response strategy; the interpretability of the model is realized, and the decision transparency is improved.

The invention relates to a woolen sweater defect detection method. The method is characterized by comprising the following four main steps: a data preprocessing step, a model construction step, a model training step and a defect detection step. Wherein in the model construction step, strategies such as an attention mechanism and a network structure optimization are introduced, so that the identification capability of the model on woolen sweater defects is improved; in the detection process, automatic positioning and classification of defect areas are realized through a series of key functions. The method is high in detection efficiency, low in comprehensive detection cost and high in detection accuracy.

The invention provides an evaporation system leakage fault diagnosis method and a storage medium, and belongs to the technical field of automobile fuel oil equipment control. The method comprises the steps that firstly, signals are collected, whether fault diagnosis conditions are met or not is judged according to the signals, diagnosis working condition request conditions are entered, and evaporation system leakage fault diagnosis is conducted after the fault diagnosis conditions are met and the diagnosis working condition request conditions are entered; moreover, in the process of diagnosing the leakage fault of the evaporation system, if the condition of quitting the working condition coordination is met, the diagnosis is interrupted. Evaporation system leakage fault diagnosis can be carried out in the running state, the diagnosis completion probability is increased, the driving cycle diagnosis frequency is reduced, and NVH complaints caused by engine starting and running during parking or pre-stopping (low vehicle speed) are reduced. In addition, the number of times of interruption diagnosis is reduced, the one-time diagnosis completion rate is increased, and the IUPR rate is increased.

The invention provides a method for predicting and continuously monitoring electric power marketing risks. The method comprises the following steps: acquiring a business process with the maximum risk event occurrence probability; in the prior risk early warning stage, risk early warning evaluation is carried out on the acquired business process; in the in-event risk control stage, modeling is carried out on the obtained business process to obtain a directed graph model used for representing a circulation relationship among a plurality of process nodes, and further according to a risk checking algorithm, the process nodes with risk scores greater than a preset threshold value are determined and strategy optimization is carried out; and in the post risk processing stage, continuously monitoring the risk scores of all the process nodes after strategy optimization, and automatically triggering the emergency strategy for correction after monitoring that at least one risk score of a certain process node is still greater than a preset threshold value. By implementing the method and the system, various risk events of the power marketing business network can be covered in an all-around manner in three stages, i.e., before, during and after, so that the risk response capability and the business robustness of an enterprise are improved.

The invention relates to the technical field of power system control, and discloses a flexible load control technical method based on a high-current switch built-in electric energy meter, which comprises the following steps: monitoring current and voltage in real time, and inputting data into a fuzzy logic control system; formulating a fuzzy rule, and judging a current state through fuzzy logic control; implementing a safe load removal and reset strategy for a super-capacitance power utilization scene, and executing an overcurrent opening operation; setting a maximum load threshold value according to different power utilization environment characteristics, and formulating a load control strategy; and a multi-stage power control scheme is implemented, and a load control security authentication mechanism is established. According to the method, electricity utilization characteristic research in typical application scenes is carried out, a load flexible control technology is researched in combination with a switch built-in scheme, a multi-scene and multi-cost control strategy is made through multi-stage power control, overcurrent opening and self-adaptive closing functions, flexible control over power consumers is achieved, and the electricity utilization management level is improved.

The invention provides a wafer testing method and system and a testing machine, belongs to the technical field of semiconductors, and can improve the accuracy and efficiency of wafer testing. The method comprises the steps that a test machine receives a calibration starting signal from a test board, the calibration starting signal is used for indicating that a wafer is placed at a designated position, and the designated position is a position where the wafer does not make contact with the test board and the distance between the wafer and the test board is smaller than or equal to a distance threshold value; the test machine sends an open circuit calibration instruction to the test board, wherein the open circuit calibration instruction is used for eliminating adverse effects of stray capacitance between the wafer and the test board on wafer test; the test machine receives the capacity value of the stray capacitor from the test board; and the test machine sends an open circuit calibration success signal to the test board, and the open circuit calibration success signal is determined according to the capacity value of the stray capacitance and is used for indicating that the open circuit calibration of the wafer is successful and indicating a probe of the test board to contact the wafer so as to test the wafer.

The invention discloses a drilling method for a right-angle square groove, and relates to the field of printed circuit board processing, and the drilling method comprises the following steps: 1, determining the selection of a minimum drill bit according to the thickness of a processed board body and the number of laminated boards, determining the size of the drill bit supported by the thickness and the number of laminated boards, enabling the drill bit with a smaller diameter to generate a smaller R angle, and enabling the drill bit with a smaller diameter to generate a smaller R angle; the drilled right-angle square groove looks closer to an ideal right-angle shape; secondly, the drill bit determined in the first step serves as the minimum drill bit size, namely the first drill bit, the four corners of the groove body are determined through the drill bit, the R angle is reduced to the maximum extent, and the first drill bit serves as the first tool for machining, so that the outline of the right-angle square groove is closer to the perfect right-angle shape. According to the drilling method for the right-angle square groove, by optimizing drill bit selection, the machining sequence and technological parameters, the machined R angle is effectively reduced, the precision and consistency of the right-angle groove are improved, and the requirement of the industry for the high-precision right-angle groove is met.

The invention discloses a textile color fastness washing liquor staining degree intelligent rating system, which comprises an equipment main body, a touch screen and a PC terminal, and is characterized in that a washing liquor test vessel is placed in the equipment main body; a touch screen is arranged on the equipment main body, and the equipment main body is also connected with the PC terminal; a light splitting test module is arranged in the equipment main body, and the test module is used for collecting spectral transmittance information of different wavebands of the washed soap liquid and the washed soap liquid, and converting color information through the information; both the touch screen and the PC terminal are provided with conversion rating modules; the conversion rating module is used for calculating a color difference delta E00 and a brightness difference delta L00 according to CIEDE2000, performing data conversion on a gray sample card GB / T251 for evaluating staining, and establishing a mathematical model for staining rating of the washing liquor; and automatically rating the staining degree of the textile color fastness washing liquor by the mathematical model for the staining rating of the washing liquor according to the calculated color difference delta E00 and lightness difference delta L00. According to the invention, the staining degree of the clothing textile color fastness washing liquid can be automatically graded, and the detection is faster and more accurate.

The invention provides a general bypass reconciliation and early warning system based on big data, which belongs to the technical field of information, adopts a layered architecture design and comprises a data acquisition layer, a data processing layer, an intelligent reconciliation layer, an early warning decision-making layer and a user interaction layer. All the layers carry out efficient data exchange and instruction transmission through standardized interfaces, it is ensured that all function modules of the system can work cooperatively, and automatic account checking and abnormal early warning of cross-system and cross-platform transaction data are achieved.

The invention provides a weld leg structure, a glass assembly and a vehicle. The weld leg structure comprises a welding part, soldering tin and a limiting protrusion. The welding part is provided with a welding face used for being close to glass and has a first heat conductivity coefficient, and the soldering tin is fixed to the welding face. The limiting protrusion is at least partially fixed to the welding face, the limiting protrusion and the welding part are of a split structure, the limiting protrusion has a second heat conductivity coefficient, and the second heat conductivity coefficient is smaller than the first heat conductivity coefficient. According to the welding leg structure, the limiting protrusions are additionally arranged, the distance between the welding face and the glass in the welding process is guaranteed, it is guaranteed that the welding part does not make direct contact with the glass in the welding process, meanwhile, the thickness of soldering tin is guaranteed, and the welding strength is improved; the influence of sudden temperature change on the glass is reduced, and the problem of sheet cracking caused by welding is reduced.

The invention provides a communication operator network optimization method and device and a readable storage medium, and relates to the technical field of networks, and the method comprises the steps: obtaining at least one region which needs to be expanded in an application scene; calculating the priority of each region according to the current people flow density, the predicted user number, the current network load, the user experience score and the service type score of each region in the at least one region needing to be expanded; based on the sequence of the priorities, path planning is conducted on at least one area needing to be expanded through an A star algorithm, so that the optimal path of movement of the signal optimization trolley is obtained; and in the process that the signal optimization trolley travels according to the optimal path, a reinforcement learning RL method is adopted to determine whether to continue capacity expansion or leave the scene in the current area. According to the method, the device and the readable storage medium, the problems that an existing communication operator network optimization method is insufficient in flexibility, low in efficiency and difficult to cope with human traffic changes in a scene, and consequently capacity expansion is inaccurate and not timely can be solved.

The invention relates to an electric appliance fault simulation test bench for a pure electric bus, and the test bench integrates all subsystems of the pure electric bus through a rack system. Comprising a test bed assembly, a power battery system, a high-voltage power supply system, a cockpit control system, a power driving system, a braking system, a steering system, a light signal system, an air conditioning system, a cooling system, a low-voltage power distribution system, a BMS battery management system, an OBD automobile fault diagnosis system, an LPDS fault injection module, a remote monitoring system and a whole automobile control system. All high and low voltage wire harnesses and communication wire harnesses are connected according to the use state of the whole vehicle, high voltage electricity is supplied to the rack system through external three-phase electricity transformation processing, 24V low voltage electricity is supplied through a storage battery, and the rack system completely simulates the low-speed state operation of the whole vehicle. According to the invention, rapid reproduction and solution simulation verification of various faults can be realized, dependence on manpower and material resources such as vehicles, sites and drivers is reduced, efficiency is improved, and cost is reduced.

This invention relates to the field of vehicle air conditioning control technology, providing a control circuit, method, and rail vehicle for an air conditioning system. The control circuit includes a power supply, an air conditioning controller, and a ventilation switching relay, with the power supply and air conditioning controller forming a first circuit. It also includes a first time relay and a second time relay, with the power supply, ventilation switching relay, first time relay, and second time relay forming a second circuit. The first and second time relays are respectively used to start timing when the air conditioning controller is powered on. If the air conditioning controller fails to start after power-on, and the second time relay has timed for a second duration, the second time relay controls the first circuit to disconnect. After the first time relay has timed for a third duration, the first time relay controls the second time relay to de-energize, thereby reconnecting the first circuit. This invention achieves automatic hard-wired restart in the event of an air conditioning controller failure to start after power-on.

The present invention discloses a method, device, electronic device and storage medium for recommending charging piles in a distribution network, including: receiving a charging request from a car owner, determining a candidate charging pile based on a first position and a drivable distance of a vehicle to be charged, obtaining the charging habit characteristics of the car owner and determining a direct transformer of the candidate charging pile, obtaining the total load and user type of the direct transformer of users other than the charging pile at a target charging time, calculating the load rate using the total load and rated power, and judging whether the load rate is greater than a load rate threshold; if so, calculating the score of the candidate charging pile according to the charging habit characteristics, the charging amount, the first position, the target charging time, the load rate, and the user type, determining the target charging pile according to the score and recommending it to the car owner, so that the recommended charging pile not only meets the charging habit of the car owner, improves the car owner's satisfaction with the charging service, but also reduces the impact of the charging pile on the power supply of the distribution network when it is connected to the distribution network, so that the charging pile recommendation is more complete.

The invention relates to the technical field of anti-pinch metro doors, and discloses a safety anti-pinch metro door, a control driving box is mounted at the top of a door frame, an opening and closing mechanism is arranged in the box, and the safety anti-pinch metro door comprises a guide strip, a machine base, a servo motor, a main gear, a rotating gear, a connecting shaft, a connecting rod, a linkage arm, a rotating seat, a left push block, a right push block, a door plate seat and a door plate. By arranging the infrared detector and the pressure sensor, the barrier in front of the door plate and the contact pressure between the door plate and the barrier can be monitored in real time, so that the closing action of the door is stopped or the door is opened reversely when the barrier is detected, passengers or articles are effectively prevented from being pinched, and the getting-on and getting-off safety of the passengers is remarkably improved. While the safety of passengers is ensured, the operation efficiency and reliability of the subway door are improved, and good application prospects and market value are achieved.

The invention discloses a new energy automobile energy chain diagnosis method and system based on cloud big data. Determining a plurality of use scenes according to the vehicle driving environment and the vehicle condition; screening out energy consumption data of key components in each use scene from the cloud big data; obtaining an energy consumption distribution probability density feature set of each key component in each use scene according to the energy consumption data of the key component; obtaining an energy consumption distribution characteristic value of each key part of the vehicle according to the energy consumption data of each key part of the vehicle to be subjected to energy chain diagnosis, the use scene and the energy consumption distribution probability density characteristic set corresponding to the use scene during the driving period; and when the energy consumption distribution characteristic value of a certain key component is lower than a set threshold value, considering that the energy consumption of the key component is abnormal. According to the invention, the vehicle with abnormal energy consumption can be checked at the vehicle offline detection stage, so that fault vehicles are prevented from flowing into the terminal; faults and positions of the faults can be quickly and accurately determined in a user use stage, and enterprises are assisted to monitor the faults.

The present invention belongs to the technical field of gearboxes, and specifically relates to an integrated manual transmission control assembly. In order to solve the technical problems that the shift booster of the existing transmission control assembly is far away from the shift dial, which affects the overall rigidity of the control and the consistency of the gear shifting performance of the transmission, and the shift force is light after adding the shift booster, which may lead to shifting without stepping on the clutch and damage the synchronizer, the present invention provides an integrated manual transmission control assembly for transmission operation. An integrated manual transmission control assembly of the present invention includes a control housing with a control window, an inner shaft, an outer shaft and a shift booster; the inner shaft is arranged in the control housing through, and the outer shaft is sleeved between the inner shaft and the control housing; the control window is arranged at one end close to the shift booster; an interlocking groove is arranged at the end of the inner shaft away from the shift booster; and a locking mechanism is arranged at a position corresponding to the interlocking groove on the control housing.

The present invention discloses an additive for reducing the number of pinholes in copper foil and a method for using the additive, and relates to the technical field of copper foil production process. The additive includes an acid copper strong moving agent, sodium polydisulfide dipropane sulfonate and gelatin, and the method for using the additive includes the steps of S1: additive concentration configuration; S2: production debugging; S3: visual inspection; S4: stable production. When producing ultra-thin electrolytic copper foil, adding the additive of the present invention according to the method of the present invention can greatly reduce the number of light-transmitting points and pinholes on the ultra-thin copper foil. The number of light-transmitting holes or pinholes on the copper foil produced using the additive and process can be reduced to less than 5 per square meter, avoiding the occurrence of slurry penetration, improving the physical properties of the copper foil, improving the quality of the copper foil, and reducing the time required for dragging the waste copper foil, greatly improving the yield and production efficiency of the copper foil.

The invention relates to the technical field of drying devices, and particularly provides a peculiar smell removal control method, control device and system of a drying device and a medium. The method comprises the steps that before clothes start to be dried, the peculiar smell degree in the drying device is obtained; judging whether the peculiar smell degree is higher than a preset threshold value or not; if yes, the drying device is controlled to remove odor. The system comprises a drying device; and a control device. According to the invention, peculiar smell can be effectively removed, and user experience is improved.

The invention discloses a hotel intelligent clothes protection machine based on the Internet of Things, and relates to the technical field of hotel intelligent clothes protection machines, and the method comprises the following steps: collecting various parameter information generated when an ultrasonic analysis device analyzes clothes materials in real time during the operation of the ultrasonic analysis device, wherein acoustic impedance characteristic information and signal scattering characteristic information are included. According to the invention, by introducing the intelligent evaluation system based on machine learning, the ultrasonic analysis equipment can identify the clothing material more accurately, and especially under the condition of foreign matter interference, abnormality evaluation and risk division are carried out by collecting acoustic impedance and signal scattering characteristic information in real time, so that the nursing program is optimized. Meanwhile, potential problems can be found in time through dynamic monitoring and an intelligent early warning mechanism of the equipment, the misjudgment risk is reduced, the operation efficiency and maintenance cost management are improved, and the service life of the equipment and the service quality of the hotel are ensured.

The embodiment of the invention provides an air speed control method of an air conditioner, a controller, a draught fan, the air conditioner and a medium, and the method comprises the following steps that firstly, the indoor environment temperature, the indoor set temperature and the noise reduction coefficient are obtained, and the noise reduction coefficient is determined by the historical set air speed; then, the initial air speed of the air conditioner is determined according to the indoor environment temperature and the indoor set temperature; and then, the target air speed of the air conditioner is determined according to the noise reduction coefficient and the initial air speed. According to the embodiment of the invention, the previous set wind speed behavior, namely the historical set wind speed, of the user can be recorded, the noise reduction coefficient corresponding to the user is generated based on the historical set wind speed, and the wind speed of the automatic wind is individually adjusted by using the noise reduction coefficient, so that the differentiated requirements of different users on the noise of the air conditioner can be considered, and the user experience is improved. And user complaints can be effectively reduced.

The invention relates to the technical field of PCBs (Printed Circuit Board), in particular to a design method for improving an overclocking problem of a PCB, which comprises the following steps of: S1, designing PNL board edges, and keeping the PNL board edges unchanged according to a conventional parallel design, namely keeping four edges of the PNL parallel and equidistant; and S2, internal PCS rotation: in the PNL, each PCS is rotated. The PCB solves the problems that the PNL layout of the traditional PCB design is conventional parallel layout layout production, a substrate and a PP material used in the actual production process of a factory are made of resin and glass fiber cloth, the glass fiber cloth is made of a longitudinal and latitudinal matched skeleton and the middle is completely soaked with the resin, and when the PCB adopts the conventional parallel layout layout, the production efficiency is greatly improved, and the production cost is reduced. In the prior art, a part of circuits and hole sites are arranged on the warps or wefts of the glass fabric and are parallel and overlapped with the warps or wefts of the glass fabric, so that the circuit signal transmission is influenced and the signal loss is caused in the overclocking process, and the problems of poor overclocking effect and influence on the electrical reliability of a PCB (Printed Circuit Board) are solved.

The invention discloses a method for binding order numbers of three-in-one products in LCD (liquid crystal display) module production, which comprises the following steps of: 1, when a preset model production order of an LCD module is received, writing an order number code containing model information corresponding to the model product into a background system; 2, the LCD module product to be processed is fed into a three-in-one automatic machine table, a product two-dimensional code on the LCD module product is scanned through a code scanning gun arranged on the three-in-one automatic machine table, and the scanned product two-dimensional code is transmitted to an upper computer of the three-in-one automatic machine table; and step 3, the upper computer sends the received product two-dimensional code to a background system. Compared with a traditional mode, order number recognition is added in three-in-one software, the situation that production line workers misplace products is intercepted, and the method has the following effects that the use probability of secondary burning is reduced; the product scrapping probability is reduced; customer complaints are reduced, and the quality of company products is improved; the cost and the reworking cost are reduced.

The invention relates to the technical field of terminals, particularly provides a pocket state judgment method, terminal equipment and a storage medium, and aims to solve the technical problem of how to accurately judge whether the terminal equipment is in a pocket or not. In order to achieve the purpose, the method is applied to the terminal equipment and comprises the steps that acceleration sensor data are obtained through an acceleration sensor, and distance sensor data are obtained through a distance sensor; the acceleration sensor data comprises acceleration values in three different axial directions of an orthogonal coordinate system of the terminal device, and the distance sensor data comprises the distance between the terminal device and a shelter; and when the acceleration sensor data meets the acceleration preset condition and the distance sensor data is located in the first distance interval, determining that the terminal device is in a pocket state. According to the embodiment, whether the terminal equipment is in the pocket or not can be accurately judged according to various sensor data and the composite judgment condition, and the method has very high robustness for the change of the external environment.

The application discloses a control method, device and equipment of an active pop-up hood and a medium, and belongs to the technical field of vehicle safety. The control method comprises the following steps: obtaining the collision acceleration and the collision pressure of a vehicle; if the collision acceleration is greater than an acceleration threshold or the collision pressure is greater than a pressure threshold, determining whether the vehicle is running on a water road or a non-water road; if the vehicle is running on a non-water road, controlling the active pop-up hood to pop up; and if the vehicle is running on a water road, obtaining the wading depth of the vehicle; if the wading depth is less than a first depth threshold, controlling the active pop-up hood to pop up. When it is preliminarily determined that the vehicle may collide with a pedestrian, the wading depth of the vehicle is further determined to know whether the collision is caused by the vehicle running in water, and whether the active pop-up hood pops up can be more accurately controlled, the false pop-up rate of the active pop-up hood is reduced, and the maintenance cost of the vehicle is reduced.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to an intelligent household appliance state monitoring method, device and equipment and a storage medium, and the method comprises the steps: after receiving a use request sent by a user, obtaining an operation instruction sent by the user through a user terminal again, and after a server detects that the intelligent household appliance does not operate the operation instruction, sending the operation instruction to a server; the intelligent household electrical appliance can be determined to be in the offline state. According to the method, the situation that the intelligent household electrical appliance cannot be successfully started after the user pays and places an order is avoided, normal use of the user is ensured, the satisfaction degree of the user to the intelligent household electrical appliance is improved, and complaints and refund are reduced to the maximum extent.

The invention relates to the technical field of gas supply monitoring management, in particular to an internet-based intelligent gas cloud platform, which comprises a server, the server is in communication connection with a data acquisition unit, a gas pipeline monitoring unit, a gas meter operation analysis unit, a gas flow monitoring unit, a gas quality monitoring unit, an early warning feedback analysis unit, a user terminal, a control terminal and a cloud storage library. According to the invention, through modes of symbolized calibration, coordinate model establishment, statistical analysis of a change curve, formulation calculation and threshold comparison, judgment and analysis of a user gas pipeline state and a user gas flow are realized, and corresponding early warning feedback and control operation are carried out based on an abnormal state; the timeliness and effectiveness of user gas pipeline leakage detection are improved, the influence range of pipeline leakage is reduced to the maximum extent, the life and property safety of a user is effectively guaranteed, the problems of resource waste and potential safety risks caused by abnormal gas consumption behaviors of the user are avoided, and the gas consumption stability is improved.

The invention discloses a commodity warehouse logistics intelligent scheduling system for an e-commerce platform, and relates to the field of commodity warehouse logistics intelligent scheduling for the e-commerce platform, and the system comprises a data collection module, a financial analysis module, a market analysis module, a grading calculation module, an inventory early warning module and a distribution matching module. The financial net present value score value, the electronic commodity financial performance value score value, the electronic commodity market priority value score value and the beneficiated commodity level set are obtained according to the financial information and the market sales information of the electronic commodities, and then the weekly required stock of the warehouse is obtained by analyzing and judging the stock information of the electronic commodities. Through analysis of distribution information of a distribution unit, a distribution alternative level set is obtained, and corresponding early warning and alarm of stock and replenishment are obtained through analysis, various financial and market information of electronic commodities can be comprehensively considered, an alarm is given when stock and stockout abnormity occurs in the commodities, and the corresponding distribution alternative level set is matched.

The embodiment of the invention relates to the technical field of semiconductor manufacturing, and discloses a method for improving back surface handwriting absorption of a silicon wafer. The method comprises the following steps: preprocessing a silicon wafer; attaching an anti-handwriting permeable membrane on the back surface of the pretreated silicon wafer; carrying out curing treatment on the silicon wafer to which the anti-handwriting permeable membrane is attached; and carrying out secondary treatment based on the cured silicon wafer. The technical problems that a Poly film on the back surface of a silicon wafer can generate a mark when being in contact with a suction pen, the mark is easy to be damaged, the mark on the back surface appears after an extension link, and customer complaints are caused can be solved at least.

The utility model relates to the technical field of energy monitoring, in particular to a smart energy cabinet and an energy monitoring system comprising the same. The smart energy cabinet comprises an outdoor waterproof power supply and an outdoor waterproof case; the outdoor waterproof case comprises a power distribution lightning protection system, an edge monitoring gateway and a standby battery system, the outdoor waterproof power supply is connected with the power supply input end of the smart energy cabinet, and the edge monitoring gateway is connected with the standby battery system. The smart energy cabinet can operate under severe conditions of remote mountainous areas, can provide sufficient standby power endurance even if power failure occurs, can accurately calculate the endurance duration and the residual endurance duration, is convenient to maintain, can reduce KPI complaints, and improves user perception; especially, the edge monitoring gateway is additionally arranged, compared with a traditional intelligent energy cabinet, the endurance state of equipment can be more accurately seen, and the battery endurance duration and the remaining endurance duration can be calculated in real time.