11572 results about "Air compressor" patented technology

The invention relates to the technical field of air compressors, and discloses a centrifugal air compressor surge suppression method and device.The method comprises the steps that pressure pulsation feature extraction is conducted on a pressure signal of a centrifugal air compressor, and pressure pulsation features are obtained; extracting a flow statistical feature and a frequency band energy feature of the flow signal to obtain a surge early warning feature space; carrying out characteristic decomposition on the bearing vibration signal, and extracting a characteristic frequency to obtain a surge early warning characteristic set; inputting the surge early warning feature set into a three-channel neural network for surge early warning prediction to obtain a surge early warning level; according to the surge early warning grade, control parameters of a guide vane angle controller, an anti-surge valve opening controller and a return valve opening controller are generated, the guide vane angle, the anti-surge valve opening and the return valve opening are synchronously adjusted, and a surge margin value is calculated. According to the method, accurate control over the guide vane angle, the anti-surge valve opening and the return valve opening is achieved, the surge margin value is calculated, and the control accuracy of the guide vane angle, the anti-surge valve opening and the return valve opening is improved. And real-time optimization and adjustment of the control strategy are ensured.

The invention discloses an air compressor frequency conversion and energy saving control method and system based on data analysis, and particularly relates to the technical field of air compressor control. Aiming at the problems of frequency jitter and motor instability of the permanent magnet variable-frequency screw air compressor in a high-frequency air consumption fluctuation scene, the method comprises the following steps of: acquiring exhaust pressure, air consumption flow, motor current, frequency converter output frequency and environment temperature data in real time, performing trend prediction by utilizing a data analysis model, and constructing a multi-dimensional working condition characteristic curve; a gas consumption fluctuation mode is accurately recognized, and predictive judgment is made before frequency fluctuation is about to exceed the limit; according to a prediction result, a frequency converter control strategy is dynamically adjusted, the frequency response rate is buffered in advance, an energy-saving mode is automatically triggered when the load change trend is abnormal, rotating speed control is optimized in real time, and according to the method, the operation stability and response precision of the air compressor are effectively improved, energy consumption is remarkably reduced, and the service life of equipment is prolonged; the method is suitable for the intelligent energy-saving operation requirement in a high-beat and high-precision manufacturing scene.

The invention relates to an air compressor remote fault diagnosis system and method based on a CNN and a type-2 fuzzy algorithm, and belongs to the field of intelligent recognition, and the system comprises a signal acquisition system, a data transmission system, a remote monitoring system and the CNN and type-2 fuzzy algorithm. According to the system, parameters such as pressure, temperature, rotating speed, vibration frequency and amplitude of the air compressor are monitored in real time through the sensor and transmitted to the server for processing, fault diagnosis and prediction are conducted through the CNN and the type-2 fuzzy algorithm, and the function of remotely monitoring and diagnosing the faults of the air compressor is achieved. In this way, the feature extraction capability can be better improved, so that the classification performance is improved, and the accuracy of fault diagnosis is improved. Meanwhile, when sensor noise causes fluctuation of fault features, the type-2 fuzzy algorithm can adjust a classification decision according to an uncertainty range of a fuzzy membership function, so that interference of noise on fault classification is reduced, and better robustness is achieved.

The invention relates to the technical field of grinding regulation and control, in particular to a tool alignment control and grinding machining method suitable for an air compressor shell. According to the method, an initial grinding point of a grinding tool is determined for grinding according to the local distribution condition of the height and thickness of the surface of the shell; according to the grinding temperature and the grinding depth of the grinding wheel and the time sequence change degree in the grinding process, the grinding strength value of the surface of the machine shell is analyzed, and a grinding change trend index is obtained; according to the height and thickness deviation change and the vibration amplitude of the contact area in the grinding process, in combination with a grinding change trend index, parameter adjustment factors of grinding parameters are determined, and the combination of the rotating speed and the feeding speed of a grinding wheel is adjusted in real time for grinding. According to the method, the real-time parameter adjustment factors in the grinding process are determined by combining the grinding real-time strength change with the shell surface quality, correlation adjustment is carried out on the grinding parameters, and the surface adaptability and the grinding effect in the grinding process are improved.

The invention relates to an air compressor energy-saving control method, device and equipment based on an AI algorithm, and the method comprises the steps: collecting the operation data of an air compressor in real time; the real-time energy efficiency ratio of each air compressor is dynamically calculated according to the energy consumption and the gas production rate, and the air compressors with the energy efficiency ratios lower than 75% are marked as low-efficiency equipment; on the basis of the historical gas consumption data, the production line schedule, the environmental parameters and the equipment state, the gas consumption demand in the future time period and the future efficiency of the air compressor are predicted through the air pressure demand prediction model and the EER prediction model; on the premise of meeting the gas demand in the future period, with the goal of minimizing the total energy consumption and the constraint conditions that the total gas production rate meets the predicted gas demand and the load rate of the frequency converter is limited to be 50%-100%, an optimal switch combination and load distribution scheme is obtained, and a corresponding control instruction is generated and executed, so that the production demand is accurately matched, and meanwhile, the production efficiency is improved. The energy consumption of the system is reduced, the equipment management efficiency is improved, and the purpose of refined and intelligent energy-saving control of the air compression system is achieved.

Systems and methods disclosed herein include a portable air pump and inflator system comprising an electric air compressor, a compressor housing enclosing the electric air compressor, an air hose attached or attachable to an air outlet of the electric air compressor, and a housing base attached to the compressor housing. The housing base comprises a rigid base portion that is attached to the compressor housing and a plurality of flexible foot extensions that extend from the rigid base portion. The flexible foot extensions are configured to support the portable air pump and inflator system on a surface and dampen vibrations caused by the operation of the electric air compressor.

The invention discloses a screw air compressor dynamic adjustment method and system based on multi-sensor feedback, and relates to the technical field of air compressor adjustment. The method comprises the steps that N air compressor key parts of a target screw air compressor are obtained through division, and a screw air compressor adjusting platform is built according to the N air compressor key parts; n multi-source heterogeneous operation parameters of the N air compressor key parts are collected, state prediction modeling is conducted on the N multi-source heterogeneous operation parameters, and N air compressor state prediction models are generated; feedback regulation analysis is conducted on the N air compressor state prediction models, and target air compressor regulation parameters are determined; and based on matching of the target air compressor adjusting parameters and the adjusting executing mechanism, the adjusting mechanism combination is activated, and air compressor operation dynamic adjusting is executed. The technical problems that in the prior art, a screw type air compressor is insufficient in adjusting precision and lags behind in adjusting response are solved, and the technical effect that accurate dynamic adjusting of the screw type air compressor is achieved based on multi-sensor feedback is achieved.

The invention discloses a solid-state hydrogen storage fuel cell system and a control method. The solid-state hydrogen storage fuel cell system comprises a fuel cell stack and a solid-state hydrogen storage module, the solid hydrogen storage module provides hydrogen for the fuel cell stack; the solid hydrogen storage module is provided with a first heat dissipation mechanism, and the fuel cell stack is provided with a second heat dissipation mechanism; the first heat dissipation mechanism and the second heat dissipation mechanism exchange heat through the first heat exchanger; an inlet of the first heat dissipation mechanism is provided with a PTC1 heater; an outlet of the first heat dissipation mechanism is provided with a first temperature sensor; the first heat dissipation mechanism is connected with the air compressor through a cooling liquid circulation pipeline; the air compressor, the intercooler, the humidifier and the tail gas silencer are sequentially connected through air ducts; the humidifier interacts gas with the fuel cell stack; heat generated by the fuel cell stack and waste heat of the air compressor are used for supplying heat to solid hydrogen storage and release, so that a radiator of the air compressor is omitted, and the integration difficulty of the solid hydrogen storage fuel cell system is reduced.

The invention discloses a deep fusion air pressure intelligent optimization control method and system. The method comprises the steps that the air load of a user side is obtained; calculating plan parameters of the air compressor by adopting a feed-forward intelligent control strategy based on the air load; calculating target parameters of the air compressor by adopting a PLC feedback control strategy based on the planned parameters of the air compressor and the real-time pressure of the system; the air compressor plan parameters comprise the opening number of the air compressors, the opening degree of an inlet adjusting valve, the closing degree of an emptying adjusting valve and the operation frequency; the target parameters of the air compressor comprise the opening number, the operation frequency and the opening degree of an inlet adjusting valve of the air compressor; accurate control and adjustment of the operation process of the air compression system are achieved, the problems that due to manual control, the output pressure fluctuation of the air compression system is large, stable operation of the system cannot be guaranteed, and the energy consumption and the air supply cost of the air compression system are high are solved, energy efficiency fluctuation is accurately analyzed, potential energy consumption problems are predicted, and the energy efficiency of the air compression system is improved. The overall operation efficiency is improved, and the optimal energy efficiency is achieved.

The present application relates to the technical field of safety management, in particular to a mine air compressor safe operation management method and system based on deep learning, comprising the following steps: collecting output pressure and input current, calculating slope change rate and direction switching frequency, clustering fluctuation amplitude and frequency by time period, generating working condition fluctuation label, identifying state mutation point and duration, calculating risk level label, analyzing load fluctuation coefficient, judging periodic fatigue early warning, combining synchronous rate to identify abnormal section, judging the need to switch state and generating instruction set. In the present application, by constructing the load risk level sequence on the basis of state duration and mutation point identification, the quantitative identification of multi-period load deviation is realized, the early warning period is marked by combining risk level and fatigue deviation ratio, and the abnormal load trend is judged according to the change direction of pressure and return gas flow, which strengthens the capture ability of abnormal operation section and improves the accuracy of operation safety risk identification and the adaptability of response strategy.

The invention provides a full-automatic air compressor system integrating intelligent monitoring and fault diagnosis, and relates to the technical field of air compressor diagnosis. The management main system comprises an AI intelligent interaction module, an AR visual presentation module, a multi-source data fusion module, an intelligent diagnosis decision module, a fault prediction and prevention module, a user feedback learning module, an equipment linkage coordination module and a system core regulation and control unit. Operating parameters and microstructure change data of the air compressor are collected, and a high-precision comprehensive data vector is generated in cooperation with an algorithm based on tensor decomposition and generative adversarial network fusion. Compared with a traditional remote monitoring mode which depends on a single traditional sensor, the system can sense micro fault characteristics of a molecular level, and in cluster operation and maintenance of the air compressors in a factory, micro cracks of the air inlet valve are detected in advance, so that the problem of insufficient air pressure caused by delayed sensing is avoided.

The invention relates to the technical field of underground engineering groove wall stability physical simulation, and discloses a model test device and method for stratum excavation and grouting reinforcement, and the model test device comprises a grooving construction module, a grouting support module and a dynamic monitoring module. The device adopts a pressing plate method to simulate a grooving excavation process, so that the device conforms to an actual excavation working condition from top to bottom; a servo motor drives a power lead screw to drive a model groove to move downwards, so that a free face is formed in a sand layer, and the actual excavation working condition is simulated; a water tank for storing fresh slurry is pressurized by using an air compressor, so that the slurry overflows from the hollow model groove section, and the permeation and invasion process of the slurry is simulated; and a water and soil pressure gauge and a matched acquisition device are arranged in the sand layer, and a soil displacement field is obtained by utilizing a particle image velocity measurement system, so that the visualization of the whole process of excavation-grouting-invasion is realized. It is ensured that simulation results are highly matched with actual working conditions, and accuracy and reliability are improved.

The invention relates to the technical field of pneumatic ash conveying devices, and provides an anti-blocking pneumatic ash conveying device and a method thereof. The conveying pipe is installed at a discharging port of the charging barrel, an air guide pipe is installed at an air inlet of the charging barrel, an air compressor is installed at an air inlet of the air guide pipe, and a driving motor is installed at the discharging port of the charging barrel; and the cleaning mechanism is located in the conveying pipe and used for cleaning the interior of the conveying pipe. According to the device, the crusher is arranged, so that caked materials can be guided to the inner side of a sliding ring through an inner side slope in the scraping process of a conical scraping block in the conveying pipe, the caked materials can be conveniently crushed by two crushing rollers, and the interior of the conveying pipe is prevented from being blocked in the conveying process; therefore, normal operation of the conveying pipe is guaranteed, the interior of the conveying pipe can be dredged without shutdown, and the overall operation efficiency of the device is improved.

The invention discloses a medical oxygen generator with sterilization and dust removal functions, and relates to the technical field of oxygen generators, the medical oxygen generator comprises an oxygen generator shell, a handle, a touch screen, an oxygen generator bottom plate, an air inlet pipe, a dust removal and sterilization device, an air compression device, a heat dissipation pipe, an adsorption tower, a heat dissipation device, a cleaning device and a humidification cup, the air compression device can suck air and compress air, the dust and bacteria removal device can remove pollutants such as dust and bacteria in the air and prevent the pollutants from entering the air compressor to affect the quality of oxygen inhaled by a patient, the heat dissipation device rapidly dissipates heat of the air in the heat dissipation pipe, the adsorption effect of the adsorption tower is improved, and the service life of the adsorption tower is prolonged. The cooled air enters the adsorption tower, the adsorption tower adsorbs nitrogen in the air, the separated oxygen is decompressed and then conveyed into the humidifying cup, and the oxygen humidified by the humidifying cup is conveyed into an oxygen catheter of a patient.

The invention belongs to the technical field of fuel cells, and particularly relates to a high-dimensional multi-target multi-working-condition optimization method and system for a fuel cell centrifugal air compressor, and the method comprises the steps: constructing a fuel cell air compressor performance analysis and optimization system, a comprehensive performance test platform is built, a multi-physics field coupling CFD simulation model is built, and the simulation and optimization efficiency is improved in combination with a machine learning algorithm; the pressure ratio and isentropic efficiency are defined as optimization targets based on fuel cell system requirements, and the performance of the air compressor is evaluated through experiment and simulation data; a multi-objective multi-population optimization method, an archive sharing technology, a genetic algorithm and the like are fused to establish an MMPS algorithm, and high-dimensional multi-objective optimization is carried out on related structure parameters of an impeller, a volute and a diffuser. The technical problems that the multi-target collaborative optimization requirement of an existing fuel cell centrifugal air compressor is difficult to meet, the high-dimensional variable optimization difficulty is large, and complex flow characteristic control is difficult are solved.

The invention belongs to the technical field of fuel cells, and particularly relates to a fuel cell centrifugal air compressor irreversible loss prediction method and system, and the method comprises the steps: collecting performance data based on a fuel cell centrifugal air compressor comprehensive performance test platform, and building and verifying a multi-physics coupling CFD simulation model; defining an irreversible loss type and related structure parameters, constructing an integrated CFD simulation framework, generating a parameter combination table through an orthogonal test, and performing simulation calculation; an RL-GHEM method is provided, the weight and combination strategy of a base model are optimized, linear and nonlinear combination modes are dynamically switched, and irreversible loss prediction models under different working conditions are constructed. The hybrid integrated model based on reinforcement learning guidance is provided, the model combination strategy is dynamically optimized through the reward mechanism, the base model with the optimal performance is optimized, the prediction precision, stability and robustness are improved, precise prediction of the irreversible loss of the air compressor is achieved, and the problem that in the prior art, the prediction precision is insufficient under variable working conditions is solved.

A powered fastener driver includes a housing, a nosepiece, a driver blade movable within the nosepiece between a ready position and a driven position, a piston coupled to the driver blade, a driver cylinder within which the piston is movable, a storage chamber cylinder containing pressurized gas therein and in fluid communication with the driver cylinder, a lifting mechanism for moving the driver blade to the ready position, and a motor coupled to the lifting mechanism to drive the lifting mechanism. An onboard air compressor is driven by the motor and is driven while the lifting mechanism is driven. A feed system is in fluid communication with the onboard air compressor and includes a primary feed mechanism adjacent the nosepiece and a secondary feed mechanism adjacent the nosepiece. The primary feed mechanism and the secondary feed mechanism are actuated by compressed air received from the onboard air compressor.

The present invention discloses an intelligent self-powered active suspension with multi-level adjustable height in the automotive field and a working method thereof. The rod ends of the cylinder rod extending into the oil cylinder are all guide ends composed of a guide, a screw and a nut. There is no seal between the outer wall of the guide and the inner wall of the oil cylinder. The screw and the cylinder rod are provided with oil guide grooves that penetrate the rodless cavity and the rod cavity, and there is no need to consider the sealing problem. A non-closed working oil circuit is adopted, and a suspension height adjustment device comprises a first and a second height adjustment oil and gas cylinders with unequal volumes. The first height adjustment oil and gas cylinder, a third solenoid valve, a high-pressure gas storage tank, a first non-return valve, an electric air compressor unit and a low-pressure gas storage tank are connected in series in sequence, and energy can be pre-stored in advance. Four-speed height control is achieved by two parallel-connected height adjustment oil and gas cylinders with different volumes, so that the vehicle body can be at a low height when the vehicle is driving at high speed, at a normal height when the vehicle body is in urban conditions, and at a height when the vehicle body is driving on bumpy roads. The vehicle body can also be rescued from a pit when the wheel is stuck in it.

The invention discloses a split type vehicle-mounted intelligent oxygen supply system based on the VPSA technology and a control method, and the system comprises an air compressor which is arranged at the inner side of a wheel cover protection plate of a rear wheel of a vehicle and is used for compressing air and discharging the compressed air to a molecular sieve assembly; the molecular sieve assembly is arranged below a spare tire in a trunk of the vehicle and is used for separating nitrogen from oxygen in the air to generate oxygen; the oxygen conveying pipe is arranged on the inner side of the vehicle roof and connected with an oxygen outlet of the molecular sieve assembly, and an oxygen outlet is formed in the position, located above each seat, of the oxygen conveying pipe; the detection module comprises an altitude sensor and an oxygen concentration sensor, the altitude sensor is installed on the molecular sieve assembly, and the oxygen concentration sensor is arranged on a ceiling in a vehicle compartment; distributed arrangement is adopted, all parts of the oxygen supply system are installed at different positions of the vehicle, the space occupied by the oxygen generation system can be reduced, and meanwhile directional oxygen supply to specific seats is achieved through the distributed oxygen outlets.

An integrated hydrogen-electric engine includes, an air compressor system; a hydrogen fuel source; a fuel cell; an elongated shaft connected to the air compressor system or a propulsor; and a motor assembly disposed in electrical communication with the fuel cell, wherein the air compressor system includes a plurality of electrically driven compressors configured to run in series or parallel.

The invention relates to an air compressor fault diagnosis method and system and electronic device.The air compressor fault diagnosis method comprises the steps that current operation parameters of an air compressor are obtained, the current operation parameters are preprocessed, and input data are obtained, the operation parameters comprise a vibration parameter, a temperature parameter, an input pressure, an output pressure and a working current of the motor; according to the historical operation parameters and historical fault type data of the air compressor, a Transform model is trained to obtain a fault diagnosis model, the fault diagnosis model comprises multiple attention modules, and the multiple attention modules are used for calculating attention scores; and the state of the air compressor is diagnosed according to the input data and the fault diagnosis model, a diagnosis result is obtained, target data concerned during diagnosis is obtained according to the attention score, and supplementary interpretation is conducted on the diagnosis result.

The invention provides an energy-saving optimization control method and system for an air compressor and a readable storage medium. The method comprises the steps that operation parameters of the air compressor and the current air use requirement of an air use end are obtained in real time; the current compression capacity of the air compressor is obtained through analysis according to the operation parameters; key operation parameters of the air compressor are dynamically adjusted according to the current air consumption demand and the current compression capacity so that the current compression capacity can be matched with the current air consumption demand, and the key operation parameters comprise the motor rotating speed, the air compressor load rate and the motor starting and stopping time. According to the energy-saving optimization control method for the air compressor, on the basis of real-time monitoring and analysis of the operation parameters of the air compressor and the current air consumption demand of the air consumption end, the key operation parameters of the air compressor are dynamically adjusted, so that the air production capacity of the air compressor is accurately matched with the actual air consumption demand, energy waste is avoided, and the energy conservation and emission reduction effects are achieved. Meanwhile, the stable operation and the service life of the equipment are considered, and the overall energy-saving optimization target is achieved.

The invention provides an air compressor with a filter element cleaning system, and relates to the field of air compressors. The air compressor with the filter element cleaning system comprises a bottom plate and an air compressor body fixedly connected to the upper side of the bottom plate, a connecting rod is arranged on the upper side of the bottom plate, a filter cylinder is fixedly connected to the upper end of the connecting rod, a filter element body and a cleaning unit are arranged on the inner side of the filter cylinder, and a switch is fixedly connected to the upper side of the filter cylinder. The outer side of the filter cylinder is fixedly connected with a connecting platform, and an air inlet pipe is fixedly connected between the filter cylinder and the air compressor body. By arranging the filter cartridge, the filter element main body, the annular box, the annular pipe, the absorption pipe, the air suction pipe, the filter box, the air suction box, a vertical plate, a top ring, a moving rod, a moving ring and an elastic scraper, the elastic scraper on the moving ring can conveniently scrape dust on the surface of the filter element main body, and the scraped dust is absorbed through the annular pipe and the absorption pipe; the dust cleaning effect on the filter element main body is improved.

Assemblies, apparatuses, and methods to extract or convey a material from a source of the material may include a vacuum generation and sound attenuation assembly. The vacuum generation and sound attenuation assembly may include a compressor housing having a vacuum source, a cooling system, and a vacuum controller. The vacuum source may include a compressor powered by an electric motor and positioned to cause a vacuum flow between the source of the material, and the vacuum generation and sound attenuation assembly. The vacuum generation and sound attenuation assembly may further include a sound attenuation chamber positioned to receive at least a portion of the vacuum flow from, and attenuate sound generated by, the vacuum source. The compressor housing and sound attenuation chamber of the vacuum generation and sound attenuation assembly may be arranged compactly on a common chassis for ease of transport and deployment.

The invention relates to a magnetic suspension air separation expansion machine system and an operation method thereof. The system comprises a base, a magnetic suspension bearing assembly, a rotor assembly and a control module. The magnetic suspension bearing assembly is arranged on the base, comprises an expansion end radial magnetic suspension bearing, a brake end radial magnetic suspension bearing and an axial thrust magnetic suspension bearing, and is used for supporting radial and axial forces of the rotor assembly; the rotor assembly is arranged in the machine body and connected with the machine body through the magnetic suspension bearing assembly, and non-contact suspension is achieved. The control module is electrically connected with the magnetic suspension bearing assembly and used for controlling the magnetic suspension bearing assembly to suspend the rotor. The operation method comprises the steps of self-checking before starting, electrifying to suspend the rotor, starting the air compressor to pressurize, adjusting flow to drive the expansion impeller, carrying out split-flow cooling on gas, and collecting data in real time to maintain stable suspension of the rotor. The device has the advantages of high efficiency, stability, energy conservation and the like and is suitable for the field of air separation.

The invention belongs to the technical field of aviation second power systems, and provides a dual-fuel aircraft combined power system which comprises an air compressor, a heat regenerator, a main combustion chamber, a gas turbine, a PEM fuel cell and a starting / power generator, the starting / power generator, the air compressor and the gas turbine are of a coaxial structure, air compressed by the air compressor is divided into two paths, and the two paths are communicated with each other. One path of compressed air enters the main combustion chamber through the cold end of the heat regenerator, and the rear end of the main combustion chamber is connected with a gas turbine; the other path of compressed air enters the PEM fuel cell, the PEM fuel cell supplies power to the electric bus bar, and the reaction rear end of the PEM fuel cell is connected with the gas turbine; the gas turbine is jointly driven by the main combustion chamber and the PEM fuel cell, and an exhaust channel of the gas turbine passes through the hot end of the heat regenerator. The fuel cell power generation unit composed of the H2 fuel tank, the PEM fuel cell and the secondary combustion chamber is used for receiving high-temperature compressed gas from the gas compressor, the high-temperature and high-pressure gas of the gas compressor can conduct hot air purging on cold start of the fuel cell, low-temperature start of the PEM fuel cell is helped, and the fuel cell power generation efficiency is improved. And meanwhile, high-temperature and high-pressure air at the outlet of the compressor is humidified and cooled through cooling of liquid water, and the requirement for system accessories is simplified.

The invention belongs to the technical field of energy storage, and relates to a compressed air and water coupled multi-energy co-production energy storage system and method, comprising an air compressor, a first heat exchanger, a second heat exchanger, an air turbine and a cooling module; a circulating medium of the first circulating loop is fused salt; the circulating medium of the second circulating loop is water, and the second circulating loop comprises a low-temperature water tank, a first booster pump, a second heat exchanger, a high-temperature water tank, a flash tank, a third heat exchanger, a steam turbine high-pressure cylinder and a heating module which are sequentially communicated end to end. Compression heat generated by compressed air can be stored in fused salt and water, special geographical conditions needed for storing high-pressure air are avoided, meanwhile, in the energy release stage, the stored water is used for flash evaporation and fused salt heating and then enters a steam Rankine cycle to do work, combined heat and power generation can be achieved in winter, combined cooling and power generation can be achieved in summer, and the energy-saving effect is achieved. Therefore, combined supply of different kinds of energy in different seasons is achieved, and the energy supply efficiency is improved.

The invention discloses a salt cavern gravity compressed air energy storage system which comprises a salt cavern, a vertical shaft is vertically formed in the top of the salt cavern and communicated to the ground surface, a sealing film is arranged on the side wall of an inner cavity of the salt cavern and divides the salt cavern into a water storage cavity and an air storage cavity, and the bottom of the air storage cavity is connected with one end of an air pipe. A piston is arranged in the vertical shaft, a gravity block is arranged at the top of the piston, a water pipe communicated with the water storage cavity is arranged at the bottom of the water storage pool, and a water conservancy generator set is arranged on the water pipe. Liquid gravity is matched with salt cavern gas storage, liquid can be matched with the irregular shape of a salt cavern, construction is reduced, energy density is increased, construction difficulty can be reduced through ground surface construction, the problem that a traditional compressed air energy storage system is large in investment cost is solved, and meanwhile the problem that salt cavern resources are reused is solved.

The invention relates to an environment-friendly container type digital energy air compression station based on air floating shaft driving, and belongs to the technical field of digital energy air compression stations. A ventilation and heat dissipation module of an air treatment system is designed to comprise an airflow distribution modeling unit, an adjustable fan array, a distributed sensor network and an intelligent control unit; the airflow distribution modeling unit generates an initial airflow distribution diagram in a container body through computational fluid mechanics simulation based on container structure parameters, arranges an adjustable fan array in an airflow distribution non-uniform area in the container body according to the airflow distribution diagram, deploys a vector fan in a dead area, feeds back data in real time in combination with a sensor network, and establishes an airflow distribution model in the container body. A nonlinear relation function of the temperature, the airflow speed and the fan rotating speed is output and established, an airflow dead zone is eliminated, a temperature field in the box is balanced, and the problem that in the prior art, when an axial flow fan and a flow guide plate are arranged for ventilation and heat dissipation, system heat dissipation is insufficient is solved.

The present invention provides a device for automatic demolding of a transformer part for an air compressor after forming, which is used for disassembling a mold outside an epoxy resin product. The mold comprises a base, a fixing support, tightening screws, and clamping plates. The device comprises: an upper detaching assembly used for synchronously detaching the plurality of vertically arranged tensioning screws on the periphery of the mold; and a first side detaching assembly which is used for loosening the clamping plates from the side of the mold, arranged on a front panel, and in transmission connection with the upper detaching assembly. According to the present invention, by means of cooperation between the upper detaching assembly and the first side detaching assembly, a plurality of tensioning screws can be detached synchronously and the clamping plates can be loosened synchronously, thereby improving the mold disassembly efficiency and reducing the intensity of manual labor.