5250 results about "Electrical control" patented technology

The invention discloses a pallet protection corner automatic putting machine. The pallet protection corner automatic putting machine comprises a top protection corner putting combination machine and aside face protection corner putting combination machine; the top protection corner putting combination machine comprises a bottom circulation base and a pair of top protection corner single machines,the side face protection corner putting combination machine comprises a bottom fixed base and four side face protection corner single machines, the top face protection corner single machines are provided with electrical control parts, top protection corner containing grooves, limiting mechanisms, and top protection corner mounting claws, the top protection corner mounting claws grab protection corners in the top protection corner containing grooves, and put the protection corners on four edges of the top of a packaging box, each side face protection corner single machine comprises a second electrical control part, a side protection corner containing groove, and a side protection corner mounting claw, and the side protection corner mounting claws grab the protection corners in the side protection corner mounting grooves and put the protection corners on the four sides of the side face of the packaging box. The pallet protection corner automatic putting machine is reasonable in layout,smooth in operation, high in adaptation, automatic in full process, free of artificial duty and capable of greatly improving protection corner putting and threading packaging capacity.

An energy storage device (100), an energy storage system (2000), and a charging network (1000). The energy storage device (100) comprises a control module (30), a plurality of compartment bodies (10), and a plurality of energy units (2). The plurality of compartment bodies (10) are arranged in a first direction of the compartment bodies (10). The plurality of energy units (2) are accommodated in at least one compartment body (10). The control module (30) is used for electrically controlling the plurality of energy units (2). The size of at least one compartment body (10) among the plurality of compartment bodies (10) in the first direction is smaller than the size of one standard container in the first direction, the sum of the sizes of the plurality of compartment bodies (10) in the first direction is larger than the sum of the sizes of one or more standard containers in the first direction, and the first direction is the length direction, the width direction or the height direction of the compartment bodies (10).

The embodiment of the utility model provides a container, an energy storage device, an energy storage system and a charging network. The energy storage device comprises a container, a control module and a heat management module. The number of the containers is m, m is larger than or equal to 2, and the m containers are arranged in the first direction of the containers. In the first direction, the size of the container is smaller than that of a standard container. The container comprises a container body and a plurality of single batteries, and the plurality of single batteries are accommodated in the container body. And the control module is arranged in the box body and is used for electrically controlling the plurality of single batteries in the m containers. And the heat management module is arranged in the box body and is used for managing the temperature of the plurality of single batteries of the m containers. According to the energy storage device provided by the embodiment of the invention, the convenience in the transportation process of the container is improved, the transportation cost of the container and the energy storage device using the container is reduced, the space in the container can be fully utilized, the integration degree is high, and the assembly efficiency is improved.

The present invention discloses a defect detection method, device and equipment for a high-altitude fall prevention system, wherein the method includes: regionalizing the high-voltage electric control components and multi-layer composite insulation structures in the high-altitude fall prevention equipment; determining the high-voltage pulse parameters of each functional area and applying pulses according to environmental parameters and electromagnetic interference data; applying progressively increasing mechanical tension to the suspected stratified area; applying multiple thermal stress excitations to the target area; performing high-resolution acoustic imaging scanning to generate defect location information. The technical solution of the present invention can effectively cope with complex electromagnetic interference and extreme climatic conditions in high-altitude environments, and through a multi-dimensional and multi-stage detection process, accurately identify and locate microscopic stratified defects in high-altitude fall prevention systems, providing important guarantees for the safety of high-altitude operations.

The invention provides a coordination control method for a photovoltaic off-grid hydrogen production system, which comprises the following steps of: acquiring voltage and current time domain signals of a photovoltaic array, constructing an impedance frequency characteristic mapping model through tensor decomposition and a radial basis function network, and calculating converter control parameters; based on converter control parameters and environment data, temperature-sensing-free self-correction photovoltaic characteristic prediction is achieved through electrical parameter indirect temperature estimation, and an MPPT reference track and a power prediction track are generated; multi-time-scale data coordination processing of millisecond-level electrical control, second-level pressure regulation and minute-level temperature optimization is executed, potential conflicts are solved, and an execution instruction set is generated; and generating and issuing a system comprehensive control instruction by adopting a double-layer deep reinforcement learning network. According to the method, the system efficiency and stability are improved, and the performance is excellent especially under the illumination fluctuation working condition.

The embodiment of the invention provides a grid-connected inverter control mode switching method and device, equipment, a medium and a product, and is applied to the technical field of electrical control. The method comprises the following steps: acquiring a control mode switching signal of the grid-connected inverter, and determining a switching direction of a control mode based on the switching signal; when the switching direction indicates that the current control mode is switched from the GFL mode to the GFM mode, setting an initial value of an integrator of a power synchronization loop of the GFM mode as a phase angle value of a phase-locked loop corresponding to the GFL mode; switching the control mode from the GFL mode to the GFM mode based on a first preset path and a step-by-step switching mode; when the switching direction indicates that the current control mode is switched from the GFM mode to the GFL mode, acquiring a power steady-state output value of the GFM mode, and setting a power reference value of the GFL mode as the power steady-state output value; and switching the control mode from the GFM mode to the GFL mode based on the second preset path and the step-by-step switching mode. The technical effect of improving the control mode switching fluency is achieved.

Electro-Hydraulic Steering System and Method An electro-hydraulic steering system (1) includes a steering wheel (2) for setting a steering demand and a hydraulic steering actuator (11) for turning the steered wheel in response to the steering demand. An electrically controlled hydraulic valve (26) is arranged to supply pressurised fluid to the hydraulic steering actuator to turn the steered wheel according to a variable steering ratio. An electronic control unit (21) receives an angular position of the steering wheel and an angular position of the steered wheel. The control unit is operative to determine an angular misalignment between the steering wheel and the steered wheel and carry out a realignment procedure. The realignment procedure comprises calculating a compensation angle based on the angular misalignment and controlling the steering ratio based on the compensation angle by controlling the hydraulic valve to adjust the supply of pressurised fluid to the hydraulic steering actuator.

The invention discloses an electrical control circuit fault adaptive diagnosis system and method based on deep learning. The system comprises a data acquisition module, a preprocessing module, a feature extraction module, a diagnosis model module, an adaptive optimization module and a visual interaction module. Based on an improved Transform architecture, a time convolution operator is embedded to enhance the local feature perception capability of a self-attention mechanism, high-dimensional time sequence features are extracted, a dual-channel deep residual network is constructed, electrical features and thermal-mechanical features are analyzed respectively, a fault classification result is output after fusion, and model parameters are updated through online incremental learning. And on the basis of a transfer learning controller, new fault sample distribution characteristic transfer pre-training parameters are adapted, and a genetic algorithm is utilized to dynamically optimize the network depth and the convolution kernel size so as to improve the generalization ability. The method has the advantages that high-precision and multi-dimensional information fusion is realized through an improved Transform architecture and a self-adaptive optimization mechanism in combination with time convolution and transfer learning, and the method can quickly adapt to new fault types.

The present invention relates to the technical field of control cabinets, and provides an electrical control cabinet for a thermal power plant, comprising an electrical control cabinet, wherein the electrical control cabinet is provided with a plurality of ventilation openings, a heat absorption plate is fixedly mounted on an inner wall of the electrical control cabinet, a heat dissipation structure is mounted on the heat absorption plate, four connecting bases are symmetrically and fixedly mounted on a top side of the electrical control cabinet, a ventilation structure is mounted on the four connecting bases, two mounting frames are symmetrically and fixedly mounted on the top side of the electrical control cabinet, and an anti-snow structure is mounted on the two mounting frames. According to the present invention, heat dissipation is achieved by means of a combination of heat conduction and air cooling, thereby further improving the heat dissipation effect of the electrical control cabinet. When the present invention is used in winter, if the ambient temperature is low, a fan and an electric heating tube can be turned on to heat internal equipment within the electrical control cabinet, so as to prevent any impact on the operation of the equipment due to excessively low temperatures; when the present invention is used outdoors, a protective metal roof can be employed for snow protection. Furthermore, the present invention also includes a snow removal function.

The invention discloses a modularized intelligent tubular column conveying system based on digital twinning and self-adaptive control, and belongs to the technical field of digital twinning. The modularized intelligent tubular column conveying system is characterized in that a digital twinning model integrating a mechanical structure, electrical control and hydraulic power attributes is constructed; acquiring multi-source sensing data including an image sequence, a three-dimensional point cloud and vibration acceleration in real time, driving the digital twin model to perform synchronous simulation, and calculating a deviation value between the digital twin model and internal simulation data; on the basis of the deviation value, a control logic parameter adjusting instruction is generated through a predefined mapping rule, then updated control logic parameters are executed, and a complete pipe column conveying process is simulated to generate a predictive system state sequence; and finally, the safety-related state subsets are issued to a field controller to guide and execute preventive actions. According to the invention, deep fusion and closed-loop control of digital twinning and physical entities are realized, and the debugging efficiency, the environmental adaptability and the operation safety of a tubular column conveying system are effectively improved.

The invention discloses an outboard engine box bearing press-fitting device, and relates to the technical field of bearing mounting equipment, the outboard engine box bearing press-fitting device comprises an equipment underframe, a press-fitting working table is arranged at the upper end of the equipment underframe, a press-fitting bottom plate is mounted at the upper end of the press-fitting working table, and a box press-fitting tray is detachably mounted on the press-fitting bottom plate; a supporting frame is installed at the upper end of the press-fitting working table at the rear portion of the press-fitting bottom plate, an installation frame is installed at the front end of the supporting frame, a servo lifting electric cylinder is installed on the installation frame, a lifting plate is installed at the output end of the servo lifting electric cylinder, a box press-fitting quick-change head is detachably installed at the lower end of the lifting plate, and a press-fitting program operation panel is installed at one end of the installation frame. According to the device, the servo lifting electric cylinder is electrically controlled through the press-fitting program operation panel, the box body press-fitting quick-change head is driven to act, the device can quickly and accurately press a bearing into a crankshaft box body, the box body press-fitting quick-change head can be quickly replaced according to the crankshaft box body of the corresponding model, and the production efficiency is greatly improved.

A vehicle electrical control system for a vehicle includes a first battery having a first nominal voltage and a second battery having a second nominal voltage that is lower than the first nominal voltage. A single battery management system is electrically connected to both the first and second batteries. Both the first and second batteries are referenced to a single ground terminal. The first battery may be a starting battery and the second battery may be a house battery.

The invention discloses a vehicle-mounted electrical control unit (ECU) debugging simulation system and method based on digital twinning. The system is composed of a data aggregation and time reference module, a consistency evaluation module, a synchronization and correction module, a semantic communication and scheduling module, an arbitration and security debugging module, and a cross-layer adaptive degradation and execution and iteration module. Channel-level time delay is estimated through a unified time reference, a consistency difference spectrum containing amplitude, time sequence, event and derivative components is constructed, confidence is given, time delay compensation and event-level alignment are calculated, and deterministic and priority scheduling is implemented according to semantic benefits; actions such as parameter recharge, message injection, task rhythm perturbation and environmental stimulation are generated and limited under the constraint of a security invariant set, control right soft handover and gating are realized based on confidence, and grading and degrading are performed when the confidence is low or the constraint is triggered; millisecond-level bidirectional collaborative debugging of twin and physical ECUs is realized, and consistency convergence, safety and bandwidth time arrival are improved.

The invention relates to the technical field of industrial equipment intelligent simulation, and discloses a simulation model construction method and system, and the method comprises the following steps: 1, analyzing the electrical control logic of industrial equipment, and converting the electrical control logic into a mixed integer nonlinear programming problem containing a discrete Boolean variable and a continuous variable; 2, modeling the physical field based on a tensor network decomposition algorithm, and generating a compressed low-rank tensor network model; 3, dynamically adjusting parameters of the tensor network model by adopting a hierarchical optimization strategy, wherein the hierarchical optimization strategy switches a global search algorithm and a local optimization algorithm according to an error convergence state; 4, allocating and executing symbol calculation, tensor network operation and parameter optimization tasks through a heterogeneous calculation system; and 5, collecting production line sensor data in real time. According to the method, different physical field sub-models are dynamically activated through Boolean variables, and the accuracy of joint simulation in a complex industrial scene is remarkably improved.

The invention provides a photovoltaic energy-saving electrical control cabinet, and relates to the photovoltaic field. Comprising a cabinet; the supporting top plate is fixedly mounted at the top of the cabinet body, and a photovoltaic panel is fixedly mounted on the top surface of the supporting top plate; the protection mechanism is installed at the front end of the supporting top plate, the protection mechanism comprises a winding and unwinding assembly and a protection belt, and the protection belt is driven by the winding and unwinding assembly and is switched between the two states of covering and shielding the top face of the photovoltaic panel or leaving the top face of the photovoltaic panel; the end part of the protective belt is fixedly connected with a carrying strip, and the bottom of the carrying strip is provided with bristles used for brushing and cleaning the top surface of the photovoltaic panel. The cleaning part is arranged in the carrying strip, and the cleaning part can blow airflow for cleaning to the bristles. Through the arrangement of the protection mechanism, the protection belt can automatically cover the top surface of the photovoltaic panel or leave the top surface of the photovoltaic panel, the effect of protecting the photovoltaic panel in severe weather is achieved, and meanwhile in daily use, the photovoltaic panel can be brushed and cleaned by driving bristles, and cleanliness of the photovoltaic panel is guaranteed.

The invention relates to the technical field of transmission electron microscope in-situ experiments, in particular to a transmission electron microscope in-situ multi-field coupling experiment platform which comprises a sample rod, a carrying table, a thermoelectric chip, a magnetic field generating device and a flexible circuit board. A first mounting groove and a second mounting groove are formed in the carrying table; the thermoelectric chip is arranged in the first mounting groove, and a carrying part, an electrical control unit and a temperature control unit are arranged on the thermoelectric chip; the magnetic field generating device is arranged in the second mounting groove and can generate a controllable magnetic field on the carrying part; the carrying part is used for carrying a sample, the electrical control unit is configured to load and measure an electrical signal of the sample, the temperature control unit is configured to control and measure the temperature of the carrying part, and the transmission electron microscope in-situ multi-field coupling experiment platform provided by the invention realizes cooperative application and accurate control of an electric field, a magnetic field and a temperature field.

The invention discloses an intelligent fireproof electrical control cabinet operation method, and the method comprises the steps: building a multi-source data set in which a physical position is strongly bound with a network topology label through the distributed collection of multiple types of sensors, and achieving the precise normalization, noise suppression and unified feature calibration of original data; and an abnormal resonance identification algorithm and causal inference are further adopted to extract an equipment transaction association mode, a dynamic equipment trust map is constructed based on Bayesian updating and an attention mechanism, and a map neural network is utilized to intelligently predict a risk diffusion path and high-risk node distribution. The system automatically triggers and issues a graded alarm and protection plan according to a risk cascade threshold value to realize active prevention and control of physical isolation, load degradation and the like, and meanwhile, periodically corrects a risk relationship and model parameters by means of an execution feedback mechanism. High-precision, whole-process dynamic optimization and self-adaptive evolution of power distribution network risk identification can be realized, and the group intelligent protection level and the system stability are effectively improved.

The invention relates to the technical field of engineering machinery control, and discloses a carry-scraper electrical control system and method based on intelligent control, and the system comprises a sensor module, a man-machine interaction module, a control module, an execution module, and a communication module. The method comprises the following steps: collecting real-time operation data and an operator instruction, generating a predictive deterministic map by a control module, and outputting a final control instruction for energy consumption optimization according to the predictive deterministic map to drive the carry-scraper. And meanwhile, the system continuously monitors the state of the equipment to realize fault early warning, calculates an energy consumption optimization index, and finally graphically displays the operation data, the fault early warning and the energy consumption index through the man-machine interaction module. According to the invention, an intelligent algorithm is integrated, so that accurate control and early warning of faults can be realized, energy consumption is optimized, and safety and economy are improved; and through simplified man-machine interaction, the defects of poor adaptability, complex operation and high energy consumption of a traditional system are overcome.

The invention provides an energy-saving electrical equipment control cabinet, which belongs to the technical field of electric control cabinet cooling, and comprises a cabinet body, a circulating cooling assembly, a trigger cooling assembly and an electromagnetic reset assembly, the temperature sensor monitors the temperature of the cabinet body in real time and cooperates with the circulating fan and the exhaust fan to realize energy-saving heat dissipation control; the high-heat-conduction particles ensure that the high heat conduction performance can be maintained under different working conditions, even if the environment temperature or the air flowing state is changed, heat can still be transferred, and the heat dissipation effect is ensured; the trigger cooling assembly controls liquid nitrogen release according to the temperature of the cabinet body, automatically triggers liquid nitrogen cooling when the temperature rises to a certain degree, and automatically stops after the temperature is reduced, so that liquid nitrogen is prevented from being excessively used, and an expected heat dissipation effect can be achieved even if the external temperature is relatively high; liquid nitrogen and air are promoted to be fully mixed through the spiral blades, meanwhile, gas-liquid separation can be promoted, a stable low-temperature operation environment is provided for electrical equipment, and damage to the equipment due to too high temperature and moisture is reduced.

The invention relates to the technical field of semiconductor electrical equipment cooling, and discloses an electrical control cabinet cooling device and a control method thereof. The thermal load trend, the maximum temperature rise expected value and the temperature rise rate change interval in the electrical control cabinet can be predicted in real time based on historical operation data training and the current operation state. The method comprises the following steps: carrying out prospective evaluation on a cooling demand by combining a feature extraction mechanism and a time sequence modeling capability so as to output a more refined predictive control parameter, and finally generating a multi-dimensional cooling control instruction according to the predictive control parameter and a current operation state so as to realize dynamic scheduling of a cooling assembly. And the response timeliness and the energy efficiency matching degree are obviously improved.

An integrated circuit includes a first transistor coupled between a power input and a power output, the first transistor being an N-type transistor and having a first transistor control input; a first amplifier stage having a reference input, a feedback input, and a first amplifier output, the feedback input coupled to the power output; a second amplifier stage having an amplifier input and a second amplifier output, the amplifier input coupled to the first amplifier output, and the second amplifier output coupled to the first transistor control input; and a first biasing circuit coupled to the first transistor control input, the first biasing circuit having an electrical control input coupled to the power output.

The invention relates to the technical field of laser welding, in particular to a laser welding tool for multi-size battery machining, which comprises a machining box body and a moving assembly for driving a laser welding head, a base frame is fixedly mounted at the top of the machining box body, and a pushing feeding assembly is arranged in the base frame. And the driving assembly is used for driving the battery bodies to achieve interval type horizontal transferring, a concentric-square-shaped moving plate in the pushing feeding assembly is responsible for gradually feeding the battery bodies step by step, moving blocks are fixedly installed at the two ends of the concentric-square-shaped moving plate, and upper and lower belt material assemblies are arranged in the moving blocks. According to the full-automatic battery top end cover welding machine, time sequence coupling of the four functions of clamping, conveying, taking and placing and cleaning is achieved, multi-process cooperation is completed, the electrical control complexity and cost are greatly reduced, absolute synchronization of takt time among the processes is fundamentally ensured, extremely high repeated positioning precision and anti-interference capacity are achieved, and the welding quality of a battery top end cover is improved.

The invention provides a three-phase transformer parameter estimation method and device, computer equipment and a medium, and belongs to the field of electrical control, and the method comprises the steps: obtaining synchronous phasor data of a target three-phase transformer; an improved LASSO algorithm is constructed; preprocessing the data through an improved LASSO algorithm; constructing a positive sequence component equivalent model of the target three-phase transformer; based on the positive sequence component equivalent model, determining a correlation among a plurality of circuit parameters of the target three-phase transformer, and determining the plurality of circuit parameters; and estimating structure parameters and magnetic circuit parameters of the target three-phase transformer based on the circuit parameters to obtain corresponding estimation results. Thus, complex specific experiments do not need to be carried out on the target three-phase transformer, on one hand, loss is low, the application range is wide, the parameters of the target three-phase transformer can be comprehensively estimated, on the other hand, better adaptability is achieved for complex conditions such as nonlinear characteristics of the transformer, and parameter evaluation is more accurate.

The present invention provides a general control method for a transformer and reactor comprehensive test system, which relates to the field of electrical control technology, including deploying a multi-dimensional sensor array to obtain power evolution data; establishing a multi-scale digital twin model to generate a power feature mapping matrix; using a graph neural network to realize cross-domain feature extraction, establishing a self-calibration optimization algorithm to generate an evolutionary power digital twin model; and constructing a hybrid power-classical fault diagnosis system to realize fault prediction and intelligent diagnosis. The present invention improves the accuracy and efficiency of transformer and reactor testing, and realizes the intelligence of multi-domain coupling analysis and fault prediction.

The invention relates to the technical field of electric appliance control, in particular to electric appliance equipment and a control system thereof, and the system comprises a feature extraction module, a distribution alignment module, a parameter trend modeling module, a sensitivity analysis module and an operation strategy optimization module. According to the method, through accurate screening of environment parameters and sparse basis vector calculation of characteristic parameters, data redundancy is remarkably reduced, the analysis efficiency and pertinence are improved, data consistency is optimized by combining statistical adjustment of differentiation time interval distribution with equipment performance parameters, accurate adaptive capacity is provided for complex working conditions, and the method is suitable for large-scale popularization and application. According to the dynamic characteristic modeling based on the time sequence trend, future change prediction of environmental parameters is realized, the pre-judgment capability and the regulation and control efficiency of the system are effectively enhanced, the influence of each characteristic parameter is clear through sensitivity weight distribution, cooperative control among equipment is optimized, balance between performance and energy consumption is achieved, and dynamic optimization of multifunctional linkage is realized.

The invention discloses a power plant electrical automation control system and method based on hierarchical management, and relates to the technical field of power plant electrical control, and the system comprises a dynamic resource distribution coordination mechanism, a fault self-healing mechanism, and a local optimization control and energy efficiency optimization strategy based on edge calculation. The resource output of the dynamic resource allocation coordination mechanism is used as the optimized resource input of the local optimization control based on the edge computing, and the energy efficiency optimization mechanism is used as a dynamic interaction layer of the dynamic resource allocation coordination mechanism and the local optimization control based on the edge computing. The fault self-healing mechanism is used as a result execution mechanism of the energy efficiency optimization strategy. By designing a dynamic resource allocation coordination mechanism, the resource load dynamic allocation function of the power plant equipment is realized, the problems of unbalanced resource utilization, equipment overload or low-efficiency operation and incapability of quickly responding to resource requirements in a traditional power plant are solved, resource allocation is optimized, and the operation efficiency of the whole system is improved.

An electrically actuated propeller pitch control system includes a propeller hub assembly, a propeller assembly, and a crosshead drive system. The propeller hub assembly rotates about the central axis during operation of watercraft. The propeller assembly is configured to selectively rotate a propeller blade. The crosshead drive system includes an electric motor, a transmission, and a lead screw that rotates about the central axis.

The present invention discloses a micro-mounted detection device for UAV flight indicators, belonging to the technical field of UAVs; it includes a multi-configuration mounting tooling, a high-precision integrated navigation module, an electrical control board, a wireless communication module, an antenna receiving and RF module, a storage module, a power management module, and a ground processing module. The present invention has higher precision, better real-time performance and reliability, faster operation speed, especially optimized the integration and power consumption, extremely light weight and extremely small size, minimizing the impact on the center of gravity position and flight performance of the UAV after mounting, meeting the payload capacity of most micro, light, and small UAVs, and is very suitable for the quantitative detection of the flight performance of micro light and small UAVs; adopting an integrated design, configuring flexible tooling fixtures, convenient to install and use.

The invention discloses a safety interlocking testing device for a quick-opening pressure vessel, which is characterized by comprising a first pipeline system, a second pipeline system and an electrical control system, the first pipeline system and the second pipeline system are both connected with the electrical control system; the first pipeline system comprises a first pipeline body and a first pressure sensor; the second pipeline system comprises a second pipeline body and a second pressure sensor; when a functional test is carried out on the safety interlocking device under the condition that a door or a cover of the quick-opening-door pressure container is not closed in place, the first pipeline system and the second pipeline system are connected with a third electromagnetic valve of the quick-opening-door pressure container. Whether the safety interlocking function is normal or not is judged by judging readings of the first pressure sensor and the second pressure sensor; when functional testing is carried out on the safety interlocking device under the condition that internal pressure of the quick-opening pressure container is not completely released, the first pipeline system is connected with a pressure gauge of the quick-opening pressure container, the under-pressure working condition of the quick-opening pressure container is simulated, and whether the safety interlocking function is normal or not is judged according to whether a door or a cover of the quick-opening pressure container is opened or not. The beneficial effects of the invention are that the system can safely and rapidly carry out the functional testing of the safety interlocking device, and is effective, safe, energy-saving and applicable.

The invention discloses an automatic electrical control box capable of rapidly dissipating heat, and relates to the technical field of electrical equipment, the automatic electrical control box comprises a box body, a baffle plate and a protection box, the top of the box body is provided with a heat exchange box, the heat exchange box is internally provided with a heat exchange mechanism, and the heat exchange mechanism is composed of an electric push rod, a mounting rack, an extrusion plate, an air bag, an exhaust pipe and an air inlet pipe; the output end of the electric push rod is connected with the mounting frame, the whole mounting frame is of a U-shaped structure, an extrusion plate is mounted at the end of the extending end of the mounting frame, and air bags are mounted on the left side of the extrusion plate at intervals. Hot air in the box body is sucked into the air bag through the air inlet pipe and then exhausted through the exhaust pipe, external air is sucked from the air inlet of the box body, heat dissipation operation is conducted on the interior of the box body, heat in the box body is rapidly exhausted, and the safety of the interior of the box body is improved.