6678 results about "Air compressor" patented technology

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 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 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 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.

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 the technical field of state monitoring, in particular to an energy-saving air compressor running state monitoring system and method, and the system comprises a pressure slope analysis module, a deviation trend judgment module, an error fitting acquisition module, an error trend analysis module and an alarm triggering module. According to the method, a pressure range is calculated by dividing time slices, a slope ratio is generated, a dynamic threshold algorithm is combined to successively compare and capture an offset trend, frequency and current waveform data are synchronously acquired to match a timestamp to calculate a difference value, an error vector is generated in a standardized manner, and a periodic mean value is extracted to verify an incremental relationship to identify progressive anomaly. The cross validation slope ratio and error vector positioning wear or coordination abnormity, the dynamic threshold value is adjusted along with the mean value coefficient at the initial period to reduce fluctuation interference, the timestamp matching enhances the composite fault detection capability, and the range division operation quantifies the matching degree to provide an energy efficiency optimization basis. And a standardized error vector and mean value incremental mechanism improves the prediction precision and reduces false alarm and missing alarm.

The invention discloses a dynamic target pressure generation method based on multi-source pressure characteristics and an energy efficiency curve, and belongs to the technical field of energy-saving control of industrial air compression systems. According to the method, the minimum value, the maximum value, the average value and the mode of tail end pressure are counted, the dynamic range of gas consumption requirements is accurately represented, and the dynamic target pressure is generated. The air compressor energy efficiency curve library is set, the optimal continuous pressure interval is screened instead of single-point optimization, the operation stability and the energy efficiency advantage are considered, finally, the target pressure of each air compressor is distributed through the multi-target optimization algorithm, energy consumption waste caused by pressure overlapping is avoided, and the energy efficiency of the air compressor is improved. The global energy efficiency is optimal, and the problems that due to frequent loading and unloading of the air compressors of an existing air compression station, energy consumption is wasted, the tail end air pressure requirement is lower than the air compressor set value, and the redundancy of the pressure set value is too high when the multiple air compressors operate in parallel are solved.

The invention discloses a high-pressure type oil-free scroll compressor which comprises a compressor body composed of a first static scroll plate, a first dynamic scroll plate, a second dynamic scroll plate and a second static scroll plate, and the back face of the first dynamic scroll plate and the back face of the second dynamic scroll plate are arranged in an attached mode. The front face of the first orbiting scroll and the front face of the second orbiting scroll are meshed with the back face of the first static scroll and the back face of the second static scroll respectively, and the orbiting scrolls and the static scrolls are matched with each other to form a compression cavity. The scroll compressor further comprises four eccentric pins, an eccentric pin eccentric section is integrally formed in the middle of the outer surface of each eccentric pin, and the eccentric pin eccentric sections of the four eccentric pins are rotationally connected to the four corners of the first movable scroll plate and the four corners of the second movable scroll plate through movable plate bearings respectively. The oil-free scroll air compressor solves the problem that the exhaust pressure of the oil-free scroll air compressor is difficult to reach 1.2 Mpa or above.

The invention provides a zinc-nickel air flow battery energy storage cabinet. The zinc-nickel-air flow battery energy storage cabinet comprises a control module and a plurality of flow battery energy storage modules, each flow battery energy storage module comprises a plurality of supporting layers, an electrolyte storage tank is fixed to a first supporting layer in the supporting layers in a limited mode, a galvanic pile is fixed to a second supporting layer above the first supporting layer in a limited mode, and the control module is connected with the control module. The third supporting layer above the second supporting layer is used for installing an electric pile sensor module, a liquid delivery pump is arranged below the first supporting layer, and the electric pile, the liquid delivery pump and the electrolyte storage tank are connected through a liquid circulation pipeline; the control module comprises an air compressor; the air compressor is connected with the electric pile through an air pipeline; the control module further comprises an electric energy management system, and the electric energy management system comprises an energy management system, a power conversion system and a battery management module. According to the embodiment provided by the invention, the integration of the zinc-nickel air flow battery is realized.

The invention relates to the technical field of data processing, in particular to a screw air compressor state monitoring method, which comprises the following steps: acquiring monitoring data of M dimensions of each monitoring object in an air compressor to obtain multi-dimensional real-time monitoring data and multi-dimensional historical monitoring data; screening suspected real multi-dimensional monitoring data from the multi-dimensional historical monitoring data, and obtaining the data real degree of each dimension in the suspected real multi-dimensional monitoring data; n reference dimensions of any monitoring object at the current moment are obtained, and the data authenticity of each reference dimension in each piece of suspected real multi-dimensional monitoring data and the difference between each piece of suspected real multi-dimensional monitoring data and the multi-dimensional real-time monitoring data are calculated according to the data authenticity of each reference dimension in each piece of suspected real multi-dimensional monitoring data. Obtaining the state voting weight of each piece of suspected real multi-dimensional monitoring data for any monitoring object; and according to the state voting weight of each piece of suspected real multi-dimensional monitoring data, a state evaluation result of any monitoring object at the current moment is obtained by utilizing a KNN algorithm, and the running state of the current air compressor is accurately obtained.

The invention belongs to the technical field of air compressor filters, and particularly relates to a compressor front air inlet oil removal filter which comprises a shell, an upper end cover and a lower end cover are fixedly connected to the upper end and the lower end of the shell respectively, a through medium inlet and a through medium outlet are formed in the two sides of the shell respectively, and a partition plate is fixedly connected into the shell; two pressing rings are rotationally connected to the partition plate, an impeller is fixedly connected to the bottom of each pressing ring, a filter cylinder is fixedly connected into each impeller, the impellers rotate at a high speed to conduct centrifugation so that airflow can flow outwards from the interiors of the filter cylinders, a driving part is arranged below each impeller, and an oil removing and cleaning part is arranged in each filter cylinder. A back flushing cleaning mode that the impeller and the filter cartridge synchronously rotate at a high speed is adopted, the static pressure is higher, the effect is more continuous, meanwhile, air pressure distribution at all positions in the filter cartridge is more uniform, airflow can fully penetrate through the filter cartridge, and more comprehensive and efficient back flushing cleaning work is achieved.

The invention discloses an intelligent energy-saving control method for an air compression system based on data driving. The intelligent energy-saving control method is suitable for an industrial air compression station with multiple parallel units. According to the method, operating parameters of all air compressors and pressure and flow data of a header pipe are collected in real time, an energy efficiency model of the output flow and the gas-electricity ratio of all frequency converters is established, and the future flow requirement of the header pipe is dynamically predicted in combination with the characteristics of a fixed frequency machine. Based on a prediction result and a single-machine energy efficiency model, the basic load and the fluctuation load are distributed according to the overall energy efficiency optimization principle of the system, the start-stop sequence and the rotating speed of each unit are determined, and stable main pipe pressure, continuous gas supply, rapid response and good operation flexibility are achieved. By means of the method, the energy efficiency difference of all the units can be fully utilized, energy consumption fluctuation and equipment abrasion caused by frequent starting and stopping are reduced, and the overall energy utilization rate of the air compression system and the reliability of the industrial production process are improved.

The invention relates to an oil-proof emulsification control method and system for an air compressor of an urban rail vehicle, and solves the problem of lubricating oil emulsification caused by insufficient working efficiency of the air compressor and environment humidity change by constructing a comprehensive control system comprising the compressor, an oil-proof emulsification device and a controller. The system monitors lubricating oil temperature and environment humidity in real time through a temperature sensor and a humidity sensor; the working rate of the air compressor is accurately calculated, wherein the vehicle operation time t2 takes the operation speed larger than 10 km / h as the calculation starting point; the controller comprehensively judges whether the oil-proof emulsification device is started or not based on temperature, humidity and working rate data, and the control strategy comprises the step of dynamically adjusting the working rate judgment node according to the real-time temperature and humidity. According to the method, accurate and reliable control over the oil-proof emulsification process is achieved, emulsification of the lubricating oil is effectively prevented, and energy consumption and maintenance cost can be reduced.

The invention relates to the technical field of air compressor optimization, and discloses an intelligent air compressor optimization control method and system based on an IOE control system.The intelligent air compressor optimization control system comprises a collection unit, a preprocessing unit, an analysis unit and an optimization unit, rich operation data such as air inlet pressure, flow, exhaust pressure and temperature are comprehensively collected in real time, denoising is conducted through a moving average method, and data accuracy is ensured; normal, overload and abnormal fluctuation modes are clearly divided, accurate judgment is performed by means of a preset interval and reasonable calculation, and powerful support is provided for control decision making; in a normal mode, intelligent regulation is performed according to a parameter average value, and operation efficiency and stability are improved; the valve opening degree is adjusted according to the deviation degree in the overload mode, the load is effectively reduced, and equipment is protected; in the abnormal fluctuation mode, a PID control algorithm is used, the opening degree, the cooling amount and the like of the valve are flexibly adjusted according to deviation and the change rate, and parameters are rapidly recovered to be stable. The fault rate and the maintenance cost can be greatly reduced, and the working efficiency is remarkably improved.

The invention discloses a motor control method and device, a motor, an air compressor, a storage medium and a computer program product, and the method comprises the steps: carrying out the processing of the components of the stator voltage of the motor on the alpha and beta axes and the components of the stator current of the motor on the alpha and beta axes through a preset sliding mode observer module, and carrying out the control of the motor; the components of the counter electromotive force estimated value of the motor on the alpha and beta axes are obtained; based on the components of the back electromotive force estimation value of the motor on the alpha axis and the beta axis, after a preset phase-locked loop module and a preset staged angle compensation module are used for processing, a rotor electrical angular speed estimation value of the motor and a rotor electrical angular position estimation value of the motor are obtained, and control over the motor is achieved. According to the scheme, by combining the sliding mode observer module, the phase-locked loop module and the staged angle compensation module, the rotor electrical angular velocity estimation value and the rotor electrical angular position estimation value of the motor are determined, sensorless control over the motor is achieved, and the control performance of the motor is improved.

The utility model provides a split mountain drilling machine which comprises a first module, a second module and a remote gas conveying pipe, and the first module and the second module are arranged in a split mode; the first module comprises a hydraulic submodule and a power head assembly which are connected, the hydraulic submodule is used for conveying hydraulic oil to the power head assembly, and the power head assembly is used for driving a drill rod; the second module comprises an air compressor sub-module, the air compressor sub-module is connected with the first module through a remote air conveying pipe, and the air compressor sub-module is used for remotely conveying compressed air to the power head assembly. Through the arrangement, when drilling operation is carried out, after the first module is carried to a drilling operation point, the second module does not need to be carried to the same position along with the first module, the drilling operation can be smoothly carried out by remotely conveying compressed air to the first module through the second module, and the moving distance of the second module is greatly reduced; and personnel allocation for drilling operation can be reduced, single well consumption is reduced, and the drilling working efficiency is improved.

The invention discloses a plug flow type mechanical pressurization cyanobacteria control ship, which belongs to the field of ecological environment governance, and mainly comprises a ship body, an algae collection head, a buoyancy cabin, a water collection tank, a pressurization treatment cabin and a pressurization assembly, the lever principle and the electric push rod are used for pressurizing, so that compared with a mode of directly pressurizing a water body by using an air compressor, a water pump and the like, the treatment energy consumption is low, and the pressurizing speed is higher; through the combined design of the dustpan-shaped algae collecting head, the algae inlet position, the pressurization treatment bin layering and the like, the entering and the discharging of high-algae-content water are realized by utilizing the ship advancing power and the water impeller, the operation energy consumption is greatly reduced compared with the water pump sampling, and the device can be suitable for blue-green algae prevention and control in water areas such as lakes, reservoirs, water sources, landscape water bodies and the like.

The utility model discloses a rotary screening machine with a rotary blowing device for screening powder, which comprises a rotary screening device and a rotary blowing device, and a cylindrical screen distributed along a first direction is arranged in the rotary screening device; the rotary air blowing device comprises a hollow ventilation cylinder and an air compressor which are arranged in the first direction, one end of the hollow ventilation cylinder is connected with the air compressor, the other end of the hollow ventilation cylinder extends into the cylindrical screen, a plurality of air blowing openings are formed in the side wall of the hollow ventilation cylinder, and air is pressurized through the air compressor and then fed into the hollow ventilation cylinder. And the powder is blown out at high pressure through the plurality of air blowing ports, so that the high-pressure air flow directly acts on the powder in the cylindrical screen mesh, the powder is disturbed and pushed to keep a flowing state, powder accumulation caused by static or gravity action is reduced, the powder is promoted to flow out through the cylindrical screen mesh, the phenomenon that the powder blocks the cylindrical screen mesh in the screening process is reduced, and the screening efficiency is improved. And the shutdown cleaning frequency caused by blockage is reduced.

The invention discloses a PSA oxygen production and nitrogen recovery cooperative control method and system, and relates to the technical field of gas separation. The method comprises the following steps: establishing a dynamic multi-target evaluation function comprising a plurality of performance indexes such as air compressor energy consumption, vacuum pump energy consumption, oxygen purity and nitrogen recovery rate, and collecting pressure, temperature, gas components and flow data in an adsorption tower in real time; in the adsorption stage, based on the real-time data and the current oxygen demand, a first machine learning model is used for generating and executing a dynamic pressure adjusting strategy for the air compressor; in a desorption stage, predicting an optimal vacuum degree curve based on historical desorption data by utilizing a second machine learning model, generating a start-stop and pumping rate control strategy of the vacuum pump according to the optimal vacuum degree curve, and determining the recovery rate of the vacuum pump according to a comparison result of the real-time nitrogen concentration and a preset recovery concentration threshold value. And desorption airflow is controlled to enter the nitrogen recovery pipeline or be directly discharged through the valve.

The invention relates to the field of casting, and discloses a casting mold and a casting process for an air compressor gearbox shell, and the casting mold comprises a fixed mold, a movable mold, an electromagnetic vacuum valve communicating with a mold cavity, and a local extrusion mechanism arranged on the movable mold; the local extrusion mechanism comprises an air cylinder and a movable block, and an ejection mechanism is installed on the fixed die. The casting process comprises the following steps: before casting, exhausting air from the cavity through the electromagnetic vacuum valve; injecting molten metal; when the molten metal is in a pasty solidification period, the air cylinder pushes the movable block to carry out forced feeding; during forced feeding, the electromagnetic vacuum valve is quickly opened and closed, so that residual gas is discharged; and after the workpiece is solidified, the movable block is pushed again through the air cylinder at the moment of opening the mold, and the workpiece is stripped from the movable mold and stays on the fixed mold. The problems of casting air holes, shrinkage porosity defects and workpiece adhesion to the movable mold are solved, and the casting compactness and the workpiece strength are improved.

The invention discloses polishing equipment for machining a shaft rod for manufacturing an air compressor, and relates to the technical field of polishing equipment. Comprising a sliding block which is slidably connected with a moving assembly, a square plate is fixedly connected to the top of the sliding block, a circular block is rotatably connected to the outer surface of the square plate, a through hole is formed in the outer side of the end, away from the square plate, of the circular block, and a fixing part is slidably connected into the through hole. According to the polishing equipment for shaft rod machining for air compressor manufacturing, electric push rods work to push clamping blocks to move towards the shaft rod in the middle in through holes, so that the multiple clamping blocks clamp and fix the two ends of the shaft rod, the two ends are fixed to provide bidirectional constraint for a shaft, radial and axial displacement of the shaft during rotation or stress is reduced, and the polishing effect is improved. And meanwhile, various shaft workpieces can be flexibly adapted by adjusting parameters such as the distance between the two sliding blocks and the size of the chuck, and equipment does not need to be frequently replaced or special tools do not need to be customized.

The invention relates to an experimental device and an experimental method for simulating CO2 storage in a coexistence space of a coal seam and a goaf of an abandoned mine, the device comprises a gas source module and a pressurization module, the pressurization module comprises an air compressor and a gas booster pump; the simulation module comprises a high-pressure gas buffer tank, a simulation coal seam module and a simulation goaf module, and the high-pressure gas buffer tank is connected with the gas booster pump; wherein the simulation coal seam module comprises a coal seam tank, the coal seam tank is coated with a heat insulation layer, a coal sample, a temperature sensor I and a pressure sensor I are arranged in the coal seam tank, a strain test part is arranged on the surface or in the coal sample, an inlet of the coal seam tank is connected with a gas booster pump, and an outlet is connected with the analysis module; the mined-out simulation module comprises a cavity tank, a temperature sensor II and a pressure sensor II are arranged in the cavity tank, an inlet of the cavity tank is connected with an outlet of the coal seam tank and the gas booster pump through valves, and the outlet of the cavity tank is connected with the analysis module.

The invention relates to a methanol internal combustion engine high-temperature fuel cell hybrid power system based on double-path waste heat gradient utilization. The invention relates to the technical field of internal combustion engine waste heat recovery and new energy power system integration. The system comprises a fuel tank, a first pump body, a heat exchanger, a methanol internal combustion engine, a turbine, a gas compressor, an air compressor, a reformer, a high-temperature proton exchange membrane fuel cell, an evaporator and a second pump body. A methanol-water vapor mixture generated by heat exchange of a mixed solution of methanol and water and a high-temperature fuel cell stack coolant in a heat exchanger is introduced into a reforming reactor and is subjected to catalytic reforming to produce hydrogen by utilizing waste heat of high-temperature tail gas of an engine, and the produced hydrogen is directly supplied to an anode of a high-temperature fuel cell. Through a double-path methanol distribution strategy, collaborative design of internal combustion engine waste heat recovery, electric pile heat management and reforming hydrogen production is realized, and the comprehensive energy efficiency of the system is improved.

The invention relates to a compressor and an air compressor system.The compressor comprises a machine shell, an air compressor, an air compressor, an air compressor, an air compressor and an air compressor, the first volute assembly is installed on one side of the machine shell in the axial direction, the first volute assembly is provided with an inner cavity, and a sealing separation part is arranged in the inner cavity; the rotor shaft is rotatably arranged in the accommodating cavity, and part of the rotor shaft is arranged in the inner cavity in a penetrating manner; the first impeller is arranged in the containing cavity and fixedly arranged on the rotor shaft in a sleeving mode. The second impeller is arranged in the containing cavity and fixedly arranged on the rotor shaft in a sleeving mode. Wherein the first impeller and the second impeller are arranged in a back-to-back mode and are in rotary sealing fit with the sealing separation part, the sealing separation part, the first impeller and the second impeller jointly divide the inner cavity into a first compression cavity and a second compression cavity, at least blades of the first impeller are arranged in the first compression cavity, and blades of the second impeller are arranged in the second compression cavity. According to the compressor, the occupied axial space is reduced, and the length of the rotor shaft can be shortened.

The invention relates to the technical field of cold-chain logistics transportation and storage temperature control, in particular to an air compressor vehicle-mounted refrigeration and refrigeration house collaborative temperature control system based on AI scheduling, which comprises a multi-dimensional state sensing module used for collecting real-time temperature field data, environmental meteorological parameters, compressor operation states and goods category information in a refrigerator car and a refrigeration house, and sending the real-time temperature field data to a server; a structured multi-dimensional state vector is output; and the thermodynamic evolution prediction module is used for setting a prediction time domain with a finite length based on the multi-dimensional state vector, and calling and constructing a mathematical model of a heat balance relationship between the refrigerating capacity generated by the operation frequency of the compressor and the environment and the cargo heat load. According to the method, the comprehensive cost function fusing the energy consumption, the cargo quality loss and the equipment wear is constructed, and the hidden quality attenuation is converted into the dominant economic cost by using the Arrhenius model, so that the global operation benefit maximization of the system on the premise of ensuring the cargo safety is realized.

The invention relates to the technical field of industrial compressed air system intelligent control, in particular to a digital air compression station intelligent control method and system based on AI self-learning, and the system comprises a data collection layer, an AI prediction layer, an optimization control layer and an execution layer. The data acquisition layer realizes accurate acquisition and preprocessing of multi-dimensional data through a three-stage high-precision sensor network and an edge computing node; the AI prediction layer adopts an XGBoost and LSTM mixed model to be combined with an online learning mechanism to realize accurate prediction of the gas consumption demand and the energy efficiency ratio within 1-24 hours; the optimization control layer completes air compressor operation combination optimization and pressure dynamic control based on an improved NSGA-II algorithm and self-adaptive PID adjustment; the execution layer realizes control instruction landing through frequency converter and cluster cooperative scheduling. Meanwhile, an equipment health degree monitoring module, a multi-source data fusion correction module and a waste heat-gas consumption collaborative optimization module are innovatively introduced, and the problems that a traditional air compression station is low in energy efficiency, poor in self-adaption, insufficient in prediction precision and lack of equipment management are solved.

The invention relates to the technical field of air compressor regulation and control, particularly discloses an interstage pressure and temperature flexible control system of an oil-free screw air compressor, and aims to solve the problems that an existing system is fixed in interstage parameter, lagged in thermal inertia response, free of real-time control of compression efficiency, poor in load adaptability, prone to causing overtemperature potential safety hazards, insufficient in energy-saving potential and low in operation economy. The system comprises a first pneumatic adjusting module, a second pneumatic adjusting module, a temperature and pressure monitoring module, a PLC (Programmable Logic Controller) control module, a grading adjusting module and an opening adjusting module. Precise and flexible control over the pressure and temperature between the first stage and the second stage is achieved, then the problem that the minimum energy-saving rotating speed is limited due to the fact that the first-stage exhaust temperature is too high when the oil-free screw air compressor is loaded at the low rotating speed is solved, and the purposes that a unit operates safely at the lower rotating speed, and the energy-saving effect is further improved are achieved.

The invention discloses an air compressor control method and device, a controller and a storage medium. According to the specific implementation scheme, the method comprises the steps that under the condition that the internal pressure of the air compressor meets the use requirement of the vehicle, a temperature signal, working time and the rotating speed of the air compressor corresponding to the air compressor are determined; inputting the temperature signal, the working time and the rotating speed of the air compressor into a water content model to obtain the water content of the engine oil of the air compressor; and according to the water content of the engine oil of the air compressor, the operation state of the air compressor is controlled. The temperature signal, the working time and the rotating speed of the air compressor are input into the water content model, the water content of the engine oil of the air compressor is calculated, the water content of the engine oil of the air compressor is monitored in real time, the running state of the air compressor is controlled through the water content of the engine oil of the air compressor, and the problem that the water content of the engine oil of the air compressor cannot be actively controlled in the prior art is solved. The problem of engine oil emulsification in the operation process of the air compressor is solved, and resource waste is reduced.

The invention provides an oilless air compressor operation fault detection method, electronic equipment and a storage medium, and the method comprises the steps: determining an operation data list corresponding to each type of data sensor according to a plurality of operation data collected by a plurality of types of data sensors of an oilless air compressor in a target time period, obtaining a prediction data list corresponding to the target data list; according to the matching degree of the prediction data list and the target data list, determining an adjustment confidence coefficient corresponding to the target data list; according to the operation data lists corresponding to the plurality of types of data sensors, obtaining the key confidence degree of the anomaly detection result of each type of data sensor; according to the method, the corresponding operation detection result of the oilless air compressor in the target time period is determined according to the sum of the multiple key confidence coefficients, the initial confidence coefficient and the multiple adjustment confidence coefficients, and the determined operation state is more accurate by conducting comprehensive judgment on the combined data among the multiple types of data sensors of the oilless air compressor.