103results about How to "Implementation status" patented technology

The invention discloses a complex scene multi-source heterogeneous data acquisition and monitoring diagnosis method and device, and the method comprises the steps: collecting multi-source heterogeneous data of an object to be monitored and diagnosed, and carrying out the data cleaning, data preprocessing, feature extraction and fusion of the multi-source heterogeneous data, so as to obtain a feature data set; and constructing and training a causal decoupling representation learning model based on input and output driving by using the feature data set and the data after data cleaning, so as to extract decoupling representation of a to-be-monitored diagnosis object, deduce a causal relationship between variables, and obtain a to-be-monitored diagnosis object. Wherein the causal decoupling characterization learning model comprises an external source control conversion network and a double-view evolution modeling and causal inference network, and the trained causal decoupling characterization learning model is used as a heterogeneous signal monitoring and diagnosis model and is used for monitoring the state of an object to be monitored and diagnosed and diagnosing the root cause of a fault of the object to be monitored and diagnosed. According to the invention, data acquisition, state monitoring and fault reason diagnosis can be integrally realized, the cost is saved, and the application prospect is wide.

The invention relates to the technical field of new energy vehicles, in particular to a driving and braking control method for a front and rear axle dual-motor driving pure electric commercial vehicle. Comprising the following steps: acquiring historical working condition data of the dual-motor pure electric vehicle; establishing a vehicle speed prediction model; setting network parameters of the vehicle speed prediction model, and training the prediction model; adjusting network parameters according to the predicted precision to obtain a vehicle speed prediction model; establishing a dual-motor pure electric vehicle model; establishing an improved DDPG proxy model based on a truncated triple Q network and learning rate scheduling; setting a state, an action and a reward function of the improved DDPG proxy model; training a control energy management model based on the training data set; validating the energy management model using the data set; and the trained model is embedded into a whole vehicle controller, and according to the current vehicle speed, the battery electric quantity SOC and the battery health state SOH, the distribution coefficient of the torque of the front axle and the rear axle of the vehicle is calculated in real time to control the operation of the vehicle.

The invention discloses an automatic verification device and method for a weighing coal feeder device. The automatic verification device comprises a weight calibration system, a weight verification control system, a sensor calibration system and a weighing coal feeder. According to the invention, the weight of the standard weight most suitable for the current calibration requirement is dynamically calculated and selected through the weight calibration system based on historical data, environmental parameters and the like of the weighing sensor, so that the calibration precision and flexibility are greatly improved, and variable working condition requirements can be met; according to the invention, an automatic weight verification control system is designed, horizontal displacement, lifting adjustment and state switching of the weight are realized, and the calibration process is fully automatic; the output data of the sensor are collected in real time through the sensor calibration system, dynamic correction is carried out in combination with multiple times of weighing error calculation and historical data, drift and error trends of the weighing sensor are analyzed in real time in combination with parameters such as temperature, humidity and vibration, and error correction values are generated, so that the accuracy of weighing data is ensured.

The invention discloses a method and system for monitoring and optimizing the state of a three-dimensional smart park. The method comprises the following steps: step 1, acquiring a park image video; extracting unit areas in the park video image by using the management prediction model, endowing each unit area with a dynamic identifier, and constructing a time sequence of the dynamic identifiers of each unit area according to a time sequence of each frame; judging the real-time state of the unit area in combination with the state variable quantity of the unit area in the current frame sequence; analyzing a state change trend of the unit region by using the management prediction model; according to an analysis result, generating an optimization suggestion, associating the optimization suggestion with the dynamic identifier of the unit region, and generating an optimization data sequence; mapping the dynamic identifiers, the real-time states and the optimization suggestions of the unit areas to the corresponding unit areas in the three-dimensional live-action model; and in combination with dynamically updated unit area state data, highlighting an abnormal area in a three-dimensional model in a dynamic identification manner, synchronously updating remote notification contents, and triggering a corresponding emergency management mechanism.

The invention discloses a uniform stranding device for aluminum alloy stranded cable processing, which comprises two stranding discs, an adjusting assembly, a limiting plate, support frames, a stranding disc and a die sleeve, and is characterized in that a plurality of support frames which are uniformly and annularly distributed and are used for mounting pay-off discs are arranged between the two stranding discs, and the adjusting assembly comprises a first gear, a second gear and an inner gear ring; the multiple second gears are located among the first gear, the second gears and the inner gear ring and are engaged with the first gear and the inner gear ring, the second gears and the supporting frame are fixedly connected and are rotationally connected with the first wire twisting disc, and the limiting plate is provided with a positioning rod used for positioning the first gear and the inner gear ring; according to the uniform stranding device for aluminum alloy stranded cable processing, a second gear in an adjusting assembly is limited through a positioning rod of a limiting plate, the rotating state of a supporting frame on a first stranding disc is adjusted, back-twist stranding processing and non-back-twist stranding processing of the aluminum alloy stranded cable are achieved, and the uniform stranding device is suitable for stranding processing requirements of aluminum alloy wire cores with different cross sections.

The invention discloses a CAN (Controller Area Network) bus test experiment system, which relates to the technical field of data processing and comprises a data acquisition and processing module for acquiring data frames from a CAN bus, adding timestamps and executing tasks such as data analysis, synchronization, filtering and caching; the control and display module is used for generating and sending a control instruction according to the vehicle state data and obtaining and updating the state information of the vehicle; the experimental report generation unit is used for sorting experimental data such as bit error rate, time sequence analysis and waveform detection into an experimental report; a plurality of test functions and experiment modules are integrated, and comprehensive support is provided for teaching and research of the CAN bus.

The present invention provides a fuel monitoring system and a monitoring method, which relate to the technical field of fuel monitoring, and include a data acquisition module: used to use a target sensor to collect first characteristic data of a target fuel in real time; a data processing module: used to preprocess the first characteristic data to obtain target characteristic data; a monitoring module: used to realize abnormal state detection and prediction of the target fuel based on the analysis of the target characteristic data, and generate a corresponding fuel monitoring report; an alarm module: used to realize state alarm and early warning functions of the target fuel based on the fuel monitoring report. By using different sensors to collect the characteristic data of the target fuel in real time and analyze it, abnormal state detection and prediction of the target fuel are realized, and the state alarm and early warning functions of the target fuel are realized through the generated fuel monitoring report, which can realize effective supervision of fuel quality and ensure fuel production safety and high efficiency.

The utility model discloses a sensing type emulsion driving system which comprises a box body arranged in a mine, a driving mechanism used for forming an emulsion driving structure, a lubricating mechanism used for forming a lubricating oil distribution structure and a monitoring mechanism used for forming a combined monitoring structure, the driving mechanism is arranged on one side of the interior of the box body, the lubricating mechanism is assembled on one side, far away from the driving mechanism, of the interior of the box body, and the monitoring mechanism is arranged on the driving mechanism and the lubricating mechanism. The lubricating system is guaranteed to run stably, the use safety of the lubricating system is guaranteed, automatic lubrication on multiple devices at fixed time, fixed point and fixed quantity is achieved, a monitoring mechanism is arranged, and a pressure sensor, a weighing sensor, a grease sensor and a proximity switch are matched to detect the residual amount of lubricating grease and the working state of the lubricating system in real time, so that the working efficiency is improved. And potential safety hazards are reduced.

A kind of department operational performance data real-time display and target dynamic benchmarking method and device belong to hospital management information technology field, to solve department operational performance data display lag, target adjustment after benchmarking state update not timely and early warning index detailed positioning efficiency low problem, the present application is by periodically obtaining department operational raw data, generates department operational index data, multi-benchmarking result, dashboard display data and early warning judgment result, and after receiving adjusted target value, corresponding benchmarking, early warning and display data are regenerated, can improve the continuity of department operational index display, target dynamic benchmarking and detailed data query, it is suitable for hospital department operational performance data display, target benchmarking, index early warning and detailed query etc. field.

The invention discloses a power cable state on-line monitoring platform, which acts on a multi-phase power cable, and the multi-phase power cable comprises a cable A phase, a cable B phase and a cable C phase. The power cable state online monitoring platform comprises a magnetic induction sensor module, a data processing unit, a serial output port, a LoRa module, a relay server and a receiving terminal. The invention further discloses a power cable fault data identification method, and according to the method, the fault type and the fault position of the multiphase power cable are judged according to the data collected by the power cable state on-line monitoring platform in combination with the data of the multiphase power cable in normal use and the preset degree coefficient. Compared with the prior art, the online monitoring platform provided by the invention is installed in a power cable line section, and by adopting the method provided by the invention, on the premise that an outer insulating layer of the cable is not damaged, rapid identification and positioning of faults can be realized, the state of the power cable can be fed back in real time, and the measurement precision is high.

The invention discloses an underground equipment train self-moving controller system based on a wireless technology. The underground equipment train self-moving controller system comprises an electro-hydraulic control device, a wireless signal acquisition device, a driving device, a wireless remote control system and a sound-light alarm device. The system monitors clamping, braking and pushing states of a train in real time through a wireless pressure sensor and a distance measuring sensor, and intelligent self-moving operation of the train and a track is achieved in combination with a logical algorithm. And the controller adopts Ethernet communication and can be externally connected with a mining camera, so that video signal transmission and real-time equipment monitoring are realized. The design of the wireless sensor greatly reduces the installation difficulty, improves the installation flexibility, and reduces the cable dependence and the system power consumption. The warning lamp is integrated with a wireless communication module, does not need to be additionally provided with a wireless receiving module, and has the functions of sound-light alarm and remote control. The whole self-moving process achieves full-automatic operation through logic control and real-time data feedback, manual intervention is not needed, the device adapts to the complex underground environment, and the operation efficiency and safety are remarkably improved.

The invention relates to the technical field of image processing, and discloses an image processing method and system for CCD image localization, and the method comprises the steps: collecting a plurality of charging tray images from a fixed angle through a CCD camera, and constructing a center-of-gravity position sequence of a to-be-processed workpiece image of each charging tray; constructing a center-of-gravity offset sequence of the to-be-processed workpiece image of each tray; judging whether the placement of the charging trays is standard or not according to the gravity center point offset sequence, generating an initial offset evaluation value of each charging tray according to the offset in the gravity center point offset sequence, and adjusting the initial offset evaluation value according to the average offset to obtain a final offset evaluation value; determining an offset evaluation identification level according to the offset evaluation final value level; and storing and displaying the center-of-gravity position sequence, the center-of-gravity offset sequence, the offset evaluation final value and the offset evaluation identification level on CNC loading and unloading equipment. According to the invention, the monitoring process is simplified while the positioning precision is improved, and efficient and reliable automatic production can be realized.

The present invention discloses a safe lock, which is characterized in that a lock core sleeve is fixedly provided on the lock body, a turntable is provided on the lock core, the turntable rotates synchronously with the lock core, a clamping slot is provided on the turntable, the clockwise rotation of the turntable drives a connecting rod to pull a lock tongue to realize unlocking, the gap between the outer diameter of the turntable and the inner diameter of the lock core sleeve is smaller than the diameter of the buckle, and the reverse rotation of the turntable squeezes the buckle out of the opening of the slot to realize locking. The present invention mainly arranges a turntable on the lock body, and connects the lock tongue and the turntable through a connecting rod. Therefore, as long as the lock core is rotated, the turntable can be rotated, so that the lock tongue can realize a locked or unlocked state.

This utility model discloses a data processing board for trackside equipment, belonging to the technical field of subway trackside equipment. It includes a data processing module, a soft-start output module, a power-down voltage monitoring module, an RTC real-time clock module with a first energy storage capacitor, a power supply module with a second energy storage capacitor, and a data interface module. The data processing module is electrically connected to the other modules. The power supply module provides the operating voltage to the board, and its second energy storage capacitor temporarily supplies power to the data processing module during brief external power outages to record the voltage status data at the moment of power failure. The first energy storage capacitor of the RTC real-time clock module maintains clock operation for a preset duration after power failure. This utility model solves the problems of easy data loss and clock failure during power failures in traditional boards. It features high structural integration, stable operation, and accurate recording of power-down fault conditions, meeting the data continuity requirements of subway trackside equipment.

The application discloses an industrial robot predictive maintenance system based on machine learning, and relates to the technical field of industrial robot maintenance.The application comprises a data acquisition module, a preprocessing module, a feature engineering module, a hybrid prediction model unit, a meta-learning and field adaptation module, a federal learning coordination module, a digital twin sample generation module and a dynamic decision engine unit.The application has the following advantages: through the collaborative mechanism of the meta-learning and field adaptation module, a model-agnostic meta-learning algorithm is used to train a cross-brand general feature extractor;different brand data distributions are confused by combining an adversarial field adaptation network;the "data gap" caused by the definition of sensor parameters and the difference in sampling frequency in traditional modeling is broken through;the model is collaboratively trained under the premise that the data of each brand is not out of the local;the global model containing the commonness of cross-brand faults is generated;and the "data island" problem caused by commercial security requirements in the industrial scene is solved.

The invention discloses a current transformer on-site verification auxiliary wiring robot, which comprises a clamping jaw cylinder, a tensioning device and a pre-wiring line, and is characterized in that the upper part of the clamping jaw cylinder is provided with two clamping jaws capable of moving in opposite directions, the clamping jaws are respectively connected with an extension block, and the upper part of the extension block is provided with a semicircular gap; a mounting frame is connected to the upper portion of the clamping jaw air cylinder, a hexagonal sleeve is arranged on the upper portion of the mounting frame, a circular sleeve is welded to the lower portion of the hexagonal sleeve, a rotating sleeve is welded to the lower portion of the circular sleeve, and a through hole allowing the rotating sleeve to penetrate through is formed in the mounting frame. According to the invention, through integrated application of the magnetic device, the camera and other components, automatic selection and state monitoring of pre-wiring are realized. In the process, the magnetic device utilizes the electromagnet to adsorb the pre-connection wire, the camera is responsible for capturing the state information of the pre-connection wire, and through accurate control of the clamping jaw air cylinder, the advantage of accurate movement and positioning of the pre-connection wire is achieved.

The utility model provides a vehicle-mounted charger with a replaceable billboard, and belongs to the technical field of vehicle-mounted charging equipment. The vehicle-mounted charger comprises a power taking module; one end of the spring wire is connected with the output end of the power taking module; a vehicle-mounted support; the input end of the charging module is connected with the other end of the spring wire, and the charging module is mounted on the vehicle-mounted bracket; one end of the charging wire is provided with a first charging interface and a second charging interface, and the other end of the charging wire is connected with the output end of the charging module; the charging module comprises a lower shell, an upper shell, a charging mainboard, a loudspeaker, a human body sensor, a switch button, a two-dimensional code support, a two-dimensional code board and an advertising board. The vehicle-mounted charger has the advantage that the functionality of the vehicle-mounted charger is greatly improved.

The utility model relates to the technical field of intelligent logistics and cooperative scheduling control, and particularly provides an intelligent logistics transfer device. The device comprises a transferring device, a swing arm structure, a grabbing mechanism and an intelligent cooperative scheduling module. The system integrally supports task state feedback, path obstacle avoidance and cluster scheduling execution, is suitable for flexible storage, intelligent carrying and multi-target material circulation scenes, and has the remarkable technical advantages of intelligent control, path optimization, task collaboration and the like.

The invention provides a bridge quasi-static influence surface determination method and device, a terminal and a medium. The method comprises the following steps: acquiring bridge floor vehicle passing video data and deflection response data; according to the bridge deck vehicle passing video data and the deflection response data, obtaining a bridge driving vehicle type, a historical vehicle structure response data set and current vehicle structure response data; self-adaptive grid division is carried out on the bridge floor area through the historical vehicle structure response data set, and self-adaptive grid node information is obtained; obtaining an influence surface recognition model according to the bridge driving vehicle type, the grid discretization method, the adaptive grid node information and the historical vehicle structure response data set; and inputting the current vehicle structure response data into the influence surface recognition model to obtain a current bridge quasi-static influence surface. The non-contact, low-cost, high-precision and dynamic tracking bridge influence surface change without traffic interruption is realized, and data support is provided for long-term tracking and service performance evaluation of a bridge structure state.

The invention provides a control device for a zero-point positioning foundation plate of a rotary table type machine tool, and the control device comprises a rotary table type machine tool workbench which is used for installing a zero-point positioning system foundation plate; the movable gas path propelling device is mounted on a linear shaft guide rail protection plate of the rotary table type machine tool, and when the machine tool works, the movable gas path propelling device only moves linearly along with a guide rail of the machine tool; the fixed gas path receiving and distributing device is mounted on the rotary table type machine tool worktable, can rotate together with the rotary table type machine tool worktable, and is used for butt joint transfer and distribution of gas paths; meanwhile, the invention further provides a control system and method for the zero-point positioning foundation plate of the rotary table type machine tool.

The present invention relates to the technical field of automobile injection molding repair, and in particular to a defect repair device for automobile interior injection molding. The present invention includes a supporting device, a fixture, a preparatory processing device and an injection device. A material moving device is installed on one side of the supporting device, and a shaping device and a monitoring device are also installed on the supporting device. The supporting device is used to support other structures to facilitate processing operations. The fixture is used to install and fix molds and injection moldings that need to be repaired, which is convenient for repair operations on injection moldings and avoids displacement of injection moldings during processing. The material moving device is used to transfer and transport injection moldings to be repaired, which is convenient for automatic loading and improves equipment processing efficiency. The preparatory processing device is used to perform preliminary processing and repair on the injection moldings to be repaired, which is convenient for subsequent repair and shaping operations. The injection device is used to inject hot melt material into the area to be repaired of the injection molding to achieve automatic material replenishment and repair.

The invention provides dual-system intelligent sensing disinfection and sterilization equipment, and belongs to the technical field of sterilizers. The equipment comprises a sterilization bin and an equipment bin, and the sterilization bin is provided with a sterilization boiler, a microwave generator, a shredding machine, a conveyor, a lifting machine, an air collecting device, a hydraulic station, a microwave power source and an operation box. A water softener, a first water tank, a second water tank, a steam boiler, a cooling-water machine, a heat exchanger, a vacuum pump, a circulating water pump, a filtering sterilizing box, a biological filter and a gas-liquid separator are respectively arranged on the equipment cabin. By means of the steam generator, the sterilization boiler, the microwave generator, the biological filter, the heat exchanger, the water circulation vacuum pump, the first water tank, the second water tank, the water pump, the water filter and the gas-liquid separator, medical waste sterilization without waste water can be achieved, water resources of the system are completely internally circulated, saturated steam is recycled, and residual heat is completely recycled.

The application relates to the field of power equipment installation operation, and aims at the problem of multi-source heterogeneous perception data fusion and automatic path replanning under environmental mutation, and provides a power equipment installation adaptive adjustment method based on digital twinning. The method collects multi-source data through a laser radar, an IMU, vision and environment sensors, realizes fusion modeling of nodes, relations and states through space-time alignment and semantic topological structuring, further compares historical versions through a directed acyclic graph, extracts a minimum change set, combines a cause-effect chain to lock an affected path, replans a path under engineering rule constraints for a local dynamic topological subgraph, generates an executable adjustment instruction set according to the path, drives an execution mechanism to complete function correction, and realizes adaptive closed-loop control of perception-decision-execution. The scheme improves the environmental adaptability, response speed and operation safety of power equipment installation.

The invention provides a device and a method for predicting the service life of a super capacitor under a high-current overload condition. The method comprises the following steps: constructing a large-current test platform; based on the test platform, carrying out charging and discharging test on the super-capacitor module, and recording test parameters of the super-capacitor module; according to the test parameters, a data set including a super-capacitor life change function and a super-capacitor monomer capacitance value distribution function is constructed, the life change function is used for representing the change relation of the total internal resistance and the total capacity of the super-capacitor along with the working times, and the capacitance value distribution function is used for representing the voltage distribution characteristics of the super-capacitor monomer; collecting operation data of the super capacitor module, wherein the operation data comprises a total internal resistance value, a total capacity value and a current value; and based on the service life change function and the capacitance value distribution function in the data set, combining the operation data, and calculating the number of residual service lives of the super capacitor module. According to the invention, accurate prediction of the service life of the super-capacitor system under the heavy current overload condition is realized, and the prediction precision and reliability are improved.

The invention discloses a rare earth magnesium alloy wire material electroplastic roller breaking early warning and alarming device for electric arc additive materials. The device comprises a closed box body, a sliding guide rail module, a multi-dimensional detection module, a main control unit and a sound-light alarming assembly. The sliding guide rail module adopts a modular design and can flexibly adjust the position of the sensor; the multi-dimensional detection module collects wire operation parameters in real time, and the main control unit analyzes data through a multi-source information fusion algorithm and accurately recognizes wire breakage and potential risks. The device has high sensitivity and high reliability, can realize wire breakage early warning and instant alarm shutdown, effectively reduces material waste and equipment damage, improves the stability and automation level of the magnesium alloy wire electroplastic roller drawing process, and provides high-quality wire guarantee for electric arc additive manufacturing.

This invention belongs to the field of multi-agent cooperative intelligent control technology, specifically relating to a multi-manipulator cooperative control method for unknown disturbances. The method includes: establishing a dynamic model of a strictly feedback nonlinear multi-manipulator cooperative system; constructing the system's communication topology through a virtual coupling mechanism; building a unified system cooperative error model; introducing a preset time function and a globally preset performance function to map errors to an adjustable constraint performance space, ensuring dynamic convergence of all error signals within the user-defined performance range; designing task-level shape control forces and pose control forces within a distributed gradient descent framework to construct an overall task-level control force, driving the multi-manipulators to move cooperatively and maintain a stable formation in the task space; and designing a joint-level distributed adaptive control law under unknown disturbances using the passive characteristics of the nonlinear system. This invention enables multi-manipulator systems to achieve cooperative convergence and stable control within a preset time under unknown disturbances.

The invention relates to the technical field of municipal safety, discloses a telescopic embedded displacement monitoring sensor, and realizes comprehensive improvement of the performance of the displacement monitoring sensor through innovative design. The elastic force adjustable mechanism prevents the sensing string wire from being stressed for a long time, and the graphite clamping piece and the protective corrugated pipe are combined, so that the long-term stability and durability are remarkably improved. The integrated excitation-sensing design and the displacement amplification mechanism greatly improve the monitoring sensitivity and the signal-to-noise ratio. The sensor has an initial spacing adjusting capability, supports rapid replacement of the string wire, and is good in installation adaptability and simple and convenient to maintain. And meanwhile, intelligent monitoring and state self-diagnosis are realized through remote controllable excitation and self-adaptive tension maintenance. The whole structure is firm and reliable, and an embedded monitoring solution which is high in precision, high in reliability and easy to maintain is provided for the safety of municipal infrastructures.

The utility model relates to the technical field of aromatherapy machines, in particular to an intelligent aromatherapy machine which comprises a shell, a partition plate is arranged in the shell and divides the interior of the shell into an equipment cavity and a placing cavity, a controller is installed in the equipment cavity, the controller is in signal connection with an air pump and a communication module, and a touch screen and a light bar which are installed on the side wall of the shell. And the shell is also provided with an adjustable handle mechanism. Compared with the prior art, the aromatherapy machine has the advantages that a user can conveniently regulate and control various functions of the aromatherapy machine through the built-in controller and the built-in touch screen, use convenience and personalized experience are greatly improved, the aromatherapy machine can be connected with an intelligent device supporting a corresponding communication protocol due to the fact that the communication module is added, and the aromatherapy machine is convenient to use. According to the aromatherapy device, remote control or state monitoring is achieved, the intelligent experience is further enhanced, the aromatherapy bottle limiting mechanism is used, it is ensured that the aromatherapy bottle is stably placed in the aromatherapy process, and potential safety hazards caused by shaking or toppling over are avoided.

The invention provides a boiler device for waste heat recovery, which relates to the field of waste heat recovery and comprises a boiler body, and a tube bundle heat exchange mechanism and a rotary heat tube mechanism which are connected in sequence. The tube bundle heat exchange mechanism is provided with a first tube bundle arranged in the flue gas channel; a smoke inlet of the rotating heat pipe mechanism is communicated with a smoke outlet of the pipe bundle heat exchange mechanism, and a rotating shaft with a second pipe bundle and a built-in heat pipe is arranged in the rotating heat pipe mechanism. And the flue gas backflow mechanism communicates the flue gas outlet of the rotary heat pipe mechanism with the hearth through a backflow pipeline and a fan. The self-cleaning mechanism comprises a flow guide plate arranged on the inner wall of the shell, a scraping plate which is fixed on the rotating shaft and is in contact with the flow guide plate, and an ash bucket at the bottom. Efficient and lasting waste heat recovery is achieved through heat exchange combination of the rotary heat pipe and the pipe bundle; the self-cleaning mechanism automatically removes dust; the flue gas backflow mechanism regulates and controls low-temperature flue gas to return to the hearth, and deep energy recovery is achieved. The system integrates monitoring and safety mechanisms, operation controllability and stability are guaranteed, and the heat efficiency of the boiler is integrally improved.

The invention discloses photovoltaic energy storage equipment, and relates to the technical field of new energy. The front ventilation assembly is arranged on the front side in the box body; the rear ventilation assembly is arranged on the rear side in the box body; according to the ventilation requirement, the interior of the box body is in an air circulation phenomenon, and heat is dissipated, so that an internal system is protected.