304results about How to "Realize closed-loop control" patented technology

The invention provides a new material production process parameter optimization method and system based on artificial intelligence, and relates to the technical field of parameter optimization, and the method comprises the steps: constructing a multi-dimensional process parameter feature space, collecting and preprocessing process parameters, extracting correlation features through a deep convolutional neural network, and building a parameter feature space model; generating a technological parameter collaborative optimization model, constructing a multi-objective optimization function, and performing iterative optimization by using reinforcement learning and an improved ant colony algorithm; and performing process parameter adaptive control, constructing a dynamic control interval, collecting parameters in real time and performing adaptive adjustment to realize closed-loop control and model dynamic update.

The invention provides an electromagnetic-assisted nickel-based alloy laser melting deposition crack inhibition method and system, relates to the technical field of automatic control, constructs an intelligent control system, carries out deep fusion and real-time prediction on multi-source heterogeneous sensing data, generates a prediction result, sets a reward function and an action-value network, and improves the performance of the nickel-based alloy laser melting deposition crack inhibition system. Solving to obtain an optimization control strategy and analyzing and outputting the optimization control strategy; and constructing a three-dimensional electromagnetic field distribution matrix. In combination with real-time feedback of the shape of the molten pool, the molten pool is stimulated to flow directionally and oscillate non-linearly according to the resonance effect, oscillation parameters are obtained, thermodynamic behaviors corresponding to the molten pool are predicted according to the oscillation parameters, and a thermodynamic prediction result is fed back to the central control unit; the method comprises the following steps: detecting the surface appearance of a part, extracting defect characteristic parameter vectors, inverting defect influence factors, generating a dynamic regulation and control curve, dispersing the dynamic regulation and control curve into multi-dimensional control instruction vectors, updating a preset regulation and control model, outputting optimized regulation and control model parameters, and carrying out crack suppression operation again.

The invention provides an intelligent cold chain transportation information management method, system and device and a storage medium, and the method comprises the steps: recognizing the type of transported goods and environment demands through a task recognition module, and determining and configuring a target sensor of a cold chain vehicle through a sensor configuration module; the target sensor collects environment data, the vehicle-mounted GPS module collects position information and a driving state, the RFID tag records a cargo loading state, and all data are sent to the central management platform. The platform constructs a multi-dimensional feature vector, the multi-dimensional feature vector is compressed into a low-dimensional feature representation through an encoder, a reconstruction data vector is obtained through reconstruction of a decoder, and a reconstruction error is calculated. And by analyzing the reconstruction error, the platform generates an analysis result, and the environment control equipment in the vehicle is automatically adjusted according to the result, so that the stability of cargo transportation is ensured.

The invention relates to the technical field of force feedback handles, in particular to a remote surgical robot control system based on a force feedback handle and a control method thereof. The method comprises the following steps: carrying out multi-dimensional force data acquisition on an end effector of the surgical robot, and carrying out contact force size, direction and time sequence feature extraction to obtain multi-dimensional force feature data; performing surgical operation safety baseline analysis according to the multi-dimensional force feature data to generate surgical operation safety baseline data; performing dynamic force feedback threshold calculation according to the surgical safety operation baseline data to obtain force feedback threshold range data; and performing adaptive compression processing on different force feedback signals according to the force feedback threshold range data to obtain dynamic force feedback control parameters. Through real-time control instruction optimization and a closed-loop feedback strategy, the system can quickly respond to an operation intention, early warning is carried out on potential risks, and it is ensured that the operation process is safer and more reliable.

The invention relates to the technical field of image processing, and discloses a graphite composite insulation board production process control method and system and a storage medium. The control method comprises the following steps: carrying out characteristic analysis and proportion optimization on raw materials to obtain pretreated raw materials; and monitoring the reaction state of the pretreated raw material, regulating process parameters, and generating a modified raw material. And performing formula optimization and performance prediction based on the material parameters of the modified raw material to obtain an optimized formula material. And forming process parameters of the optimized formula material are analyzed, a forming process is regulated and controlled, and a forming material is generated. And the curing process is optimized through the state parameters of the forming material, and a cured product is formed. And finally, evaluating the quality according to the detection data of the cured product, and generating a production control scheme. By establishing a multi-dimensional data acquisition and processing system, intelligent control over the whole production process is achieved, and therefore the stability and consistency of product quality are improved.

The invention relates to the technical field of medicine information management, in particular to a traceability method and system based on a medicine consumable traceability code. The method comprises the following steps: acquiring medicine purchasing information data; generating a unique code for the number of medicine purchasing information so as to generate a medicine warehousing traceability code; performing drug information association on the drug purchase information data according to the drug warehousing traceability code to generate a drug warehousing associated traceability code; storing the medicine warehousing associated traceability code in an information base to generate a medicine warehousing traceability code information base; performing scanning access mode division on the medicine warehousing traceability code, and generating a medicine dispensing scanning request mode and a medicine returning scanning request mode; and performing drug splitting tracing on the drug warehousing tracing code in a drug dispensing scanning request mode to generate drug splitting tracing data. According to the invention, through full-process closed-loop management, data association enhancement, intelligent scheduling optimization and drug return tracing improvement, the efficiency and precision of the drug consumable traceability code tracing method are improved.

The invention discloses an efficient variable-frequency low-temperature compressor system and a compression method thereof. The method comprises the steps that the actual oil-gas separation efficiency is obtained; inputting the working condition parameters of the compressor into a preset neural network prediction model to obtain an oil-gas separation efficiency prediction value and a theoretical solubility reference value; according to the actual oil-gas separation efficiency, the oil-gas separation efficiency predicted value and the theoretical solubility reference value, working condition deviation data is calculated, the comprehensive performance of the compressor at different frequency points is evaluated and calculated through an optimization algorithm, and a frequency adjustment curve is generated; according to the frequency adjusting curve, the operation frequency of the compressor is divided into a plurality of adjusting intervals, the operation frequency is adjusted in a stepped mode according to the adjusting intervals, the temperature and vibration parameters of the bearing are monitored in the adjusting process, and frequency adjusting feedback data are obtained; and according to the frequency adjustment feedback data, oil-gas separation efficiency deviation is periodically calculated, and compensation adjustment is conducted on the frequency adjustment curve. According to the technical scheme, insufficient lubrication and energy efficiency reduction of the compressor can be avoided.

The invention relates to the field of flight simulation, and discloses a multi-degree-of-freedom motion control method for flight driving rocker and accelerator simulation, which comprises the following steps: receiving attitude data from flight simulation software in real time, constructing a rotation matrix based on the attitude data, and calculating displacement data of platform angular points; the target stroke of the linear electric cylinders is calculated in combination with the displacement data, and the target stroke is optimized, so that movement of the multiple electric cylinders is coordinated, and the mechanical stroke range of the electric cylinders is met; meanwhile, dynamic feedback data including vibration feedback and damping feedback are generated based on the flight environment parameters, the dynamic feedback data are superposed into the control instruction, and an electric cylinder is driven to adjust the attitude of the platform; the platform motion state is detected and updated in real time through a closed-loop control system, and it is ensured that platform motion and a flight simulation software scene are highly synchronized. The system has the advantages of high-precision attitude control, real-time dynamic response and good system stability, can adapt to various flight simulation scenes, and provides real flight simulation experience.

The invention relates to the technical field of wind power generation control, in particular to a generator device and a control method thereof. The method comprises the following steps of performing real-time monitoring on noise frequency, amplitude and phase when a generator device operates, and generating a noise characteristic data set; extracting the main frequency and phase characteristics of a noise source from the noise characteristic data set, and performing reverse analysis on the data to generate reverse sound wave signal data opposite to the phase of the noise source; and the reverse sound wave generating device transmits the reverse sound wave signal data to the generator device, outputs reverse sound waves through a broadband loudspeaker, superposes the reverse sound waves and original noise in the space, and monitors the noise after noise reduction in real time to obtain noise reduction effect feedback data. According to the invention, noise characteristics are monitored in real time, matched reverse sound wave signals are extracted and reversely generated, reverse sound wave characteristics are dynamically adjusted, closed-loop adaptive control is formed, and efficient and stable noise reduction of a generator device is realized.

The invention discloses a high-altitude autonomous paint spraying method based on a multi-rotor unmanned aerial vehicle, and relates to the technical field of high-altitude paint spraying, the multi-rotor unmanned aerial vehicle is provided with a binocular camera and spraying equipment, and the autonomous paint spraying method comprises the following steps: step S1, unmanned aerial vehicle self-inspection; s2, after self-inspection is qualified, preliminary spraying work is conducted according to a set paint spraying task route, obstacles are avoided in the flying process, and image information is collected; s3, the unmanned aerial vehicle flies back to the starting point where paint spraying work starts, the original route is repeated once, machine vision carrying a Yolov5 neural network is added, and paint spraying defects occurring during primary paint spraying work are checked; s4, a spraying coefficient is selected according to the defect type, and the regional paint spraying defect is improved; and S5, the unmanned aerial vehicle autonomously returns along the historical path. According to the high-altitude autonomous paint spraying method based on the multi-rotor unmanned aerial vehicle, the paint spraying effect can be evaluated and fed back in real time, the paint spraying effect is optimized, and the quality and effect of operation completion are guaranteed.

The invention provides a measurement and jet printing integrated device and method for a complex curved surface, and belongs to the field of advanced manufacturing, and the device comprises a motion module, a jet printing and measurement module, an integrated control module, a voltage control module and an air pressure control module. And the motion module can move independently, so that the functions of measuring and jet printing function switching and jet printing height adjustment according to the measured height are realized. The jet printing and measuring module is used for achieving the functions of pattern jet printing and jet printing height detection in the technological process. According to the method, the mode that the actual height of the jet printing needle and the surface of the workpiece is measured multiple times in the jet printing process and the height of the spray head is adjusted is adopted, the height change of the spray head in the complex curved surface jet printing process is reduced, the defects caused by inaccurate digital analog in the complex curved surface jet printing machining process are reduced, and the production efficiency is improved. The problems that in a complex curved surface application scene, the jet printing height of an existing jet printing method cannot be changed according to the curved surface height, so that the jet printing quality is low, and defects are serious are solved, and the jet printing quality is improved.

The invention discloses an aviation main shaft tester for applying an impact load and a continuous centrifugal load and a centrifugal loading method for simulating an engine bearing test in a blade falling state, and relates to the technical field of impact tests. The problems that an existing aviation main shaft bearing testing device can only apply stable loads and cannot apply impact loads and centrifugal loads at the same time are solved. One end of a spindle is connected with a spindle motor driving shaft through a flexible coupler, the spindle is rotationally connected with a base through a first accompanying test bearing and a tested bearing, a centrifugal loading unit is located on the side, close to the spindle motor, of the tested bearing, a permanent magnet is installed at the upper end of a straight rod, a coil assembly and the permanent magnet are arranged correspondingly, and the lower end of the straight rod is connected with a thrust block. The slopes on the two sides of the thrust block make contact with the two centrifugal blocks correspondingly, and the two centrifugal blocks are connected with the main shaft through the two compression springs correspondingly. The method is used for evaluating the reliability of the engine main shaft bearing which bears the instantaneous impact load and the continuous centrifugal load in the simulated rotor blade falling state.

The invention discloses an automatic driving vehicle dynamic drift obstacle avoidance control method based on working condition identification, which belongs to the field of automatic driving vehicle control, and comprises the following steps: sensing multi-dimensional dynamic characteristics of a vehicle and a surrounding environment, predicting information entropy of historical multi-dimensional dynamic characteristics by using a graph neural network, and determining the dynamic drift obstacle avoidance of the automatic driving vehicle. The sampling frequency of the sensor is adaptively adjusted according to the prediction error; based on the sensor sampling data after self-adaptive adjustment, a fuzzy logic enhanced time sequence convolutional neural network is adopted to judge whether the vehicle is in a drifting critical zone or not; adaptively adjusting a state weight matrix and a control weight matrix of a model prediction controller according to whether the vehicle is in a drifting critical zone or not, and calculating to obtain a vehicle front wheel steering angle and rear wheel driving force control instruction; and the control instruction is sent to a steering actuator and a driving actuator, and vehicle obstacle avoidance and trajectory tracking are achieved. The invention aims to improve the control capability and safety of the automatic driving vehicle under complex working conditions and improve the overall dynamic performance of the vehicle.

The precision workbench comprises a rotary workbench capable of rotating along the B axis and a cradle body, the cradle body is arranged below the rotary workbench, and the two ends, away from the rotary workbench, of the cradle body are connected with A-axis main shafts capable of rotating along the A axis respectively; the outer edge of the A-axis main shaft is connected with a first torque motor, and the first torque motor can drive the cradle body to rotate along the A axis; a second torque motor is connected to the outer side of a rotating shaft of the rotating table and can drive the rotating table to rotate along the B axis. The double rotating shafts are arranged and are directly driven by the torque motors, so that the double rotating shafts have high positioning precision, the torque motors are built-in torque motors, other internal spaces can provide installation spaces for other parts, the internal spaces can be fully utilized, the height of the rotating table is reduced, and the rotating table is convenient to use. And the whole rotary table is more compact in structure.

The invention provides a motor and application, and the motor comprises a first housing which is provided with a main control circuit board; the second shell is positioned in the first shell and is provided with a driving circuit board and a motor body; wherein the driving circuit board is electrically connected with the main control circuit board and the motor body, the main control circuit board is used for outputting a control signal to the driving circuit board, and the driving circuit board is used for outputting a driving signal to the motor body based on the received control signal; wherein the driving circuit board is located at the end of the motor body, the driving circuit board is provided with two opposite surfaces, one surface is provided with a driving circuit, the other surface is provided with a sensing element, and the driving circuit is electrically connected with a main control circuit of the main control circuit board and the motor body. The sensing element is used for detecting the position of the motor body and outputting a detection signal to the driving circuit. The stability and reliability of the motor are improved.

The invention belongs to the technical field of engines, and discloses a silencing ring gap control method, a supercharger and a vehicle. The noise reduction ring gap control method comprises the steps that a noise reduction ring gap calibration value is obtained based on the current engine working condition; the silencing ring is adjusted, so that the silencing ring gap is equal to the silencing ring gap calibration value; the calibration method of the noise reduction ring gap calibration value comprises the steps that supercharger noise corresponding to different noise reduction ring gaps is tested under the working condition of a to-be-tested engine; and extracting the width value of the silencing ring gap when the noise is minimum under the working condition of the to-be-tested engine, calibrating the width value as the silencing ring gap calibration value under the working condition of the to-be-tested engine, and obtaining the corresponding relationship between the working condition of the engine and the silencing ring gap. According to the noise reduction ring gap control method, accurate control over the noise reduction ring gap can be achieved, the problem of supercharger noise caused by improvement of the engine performance is solved, and effective balance between the engine performance and noise control can be achieved.

The invention discloses an electromagnetic lock running-in and friction torque automatic test system and method, and relates to the field of electromagnetic lock testing, and the system comprises a test bench which comprises a fixed base, an electromagnetic lock, a first coupling, a torque and rotating speed sensor, a second coupling and a servo motor. An electromagnetic lock fixing assembly and a servo motor fixing assembly are fixed on the fixed base, a stator part of the servo motor is fixedly connected to the servo motor fixing assembly, and a stator part of the electromagnetic lock is fixedly connected to the electromagnetic lock fixing assembly; a rotor part of the electromagnetic lock is fixedly connected with the torque and rotating speed sensor through a first coupler, and the torque and rotating speed sensor is fixedly connected with an output shaft of the servo motor through a second coupler. The problem that an existing electromagnetic lock friction torque testing system cannot meet the requirements for accuracy and efficiency of electromagnetic lock friction torque measurement is solved.

The invention relates to the technical field of coherent optical communication, in particular to a Dither signal generation and feedback acquisition circuit and method and a coherent optical module, and the circuit comprises an MCU and a DAC chip. The MCU comprises a disturbance generator, an SPI (Serial Peripheral Interface), an on-chip ADC (Analog to Digital Converter), an automatic bias controller and two DMA channels; the first DMA channel, the SPI interface and the DAC chip are connected in sequence, the disturbance generator is connected with the SPI interface, and the DAC chip is connected to a laser and used for sending Dither signals to the laser; the on-chip ADC is connected with the second DMA channel and the laser and used for collecting feedback signals under driving of the second DMA channel, and the on-chip ADC is sequentially connected with the automatic bias controller and the disturbance generator and used for sending optimized and adjusted Dither signal parameters to the disturbance generator. The running efficiency of the MCU can be improved, and the internal resource utilization rate of the MCU is also improved.

The invention discloses a Mini LED module application method, a controller, a medium and a product. The method comprises the steps that the environment temperature, the environment humidity, the environment illumination intensity and the air particulate matter concentration are collected; determining a temperature adaptation coefficient, a condensation risk coefficient, a pollution risk coefficient and a light intensity adaptation coefficient; calculating weighted scores of the temperature adaptation coefficient, the condensation risk coefficient, the pollution risk coefficient and the light intensity adaptation coefficient to obtain a Mini LED environment adaptation index; when the Mini LED environment adaptation index is larger than a preset threshold value, a power source is connected to the Mini LED module through a relay; and when the Mini LED environment adaptation index is smaller than or equal to a preset threshold value, a power source is connected to the traditional vehicle tail lamp module through a relay. By implementing the method, the environmental adaptability of the Mini LED module is improved, and the optimal performance of the Mini LED module is ensured.

The present application discloses a vision-based automatic straightening control system and method for hydraulic supports in a comprehensive mining working face, the system comprising: a cooperative target, a straightness detection camera, an edge computing terminal, a data transmission device, a hydraulic support electro-hydraulic control system and a digital push cylinder; wherein the cooperative target is installed on the front bridge of the base of each hydraulic support and is affixed with a reflective marker; the straightness detection camera is installed on the top of the hydraulic support of the comprehensive mining working face and its field of view is toward the direction of the hydraulic support; the edge computing terminal determines the target distance of the control; the hydraulic support electro-hydraulic control system controls each hydraulic support to move; the digital push cylinder monitors the movement and pressure information of the digital push cylinder. The technical solution provided by the present invention can realize the automatic detection and automatic adjustment control of the straightness of the hydraulic support, and does not require manual intervention, and has high straightening accuracy.

The invention discloses a full-automatic horizontal machining center, and belongs to the technical field of machine tools, the full-automatic horizontal machining center comprises a square frame, a cutter feeding system, a cradle, a left supporting seat, a right supporting seat, a servo rotation driving device and a brake device, the cutter feeding system is arranged on the square frame, the cradle is used for clamping and bearing a machined workpiece, and the left supporting seat is arranged on the right supporting seat; the left supporting seat and the right supporting seat are arranged at the left end and the right end of the square frame, a left supporting shaft on the cradle is installed on the left supporting seat through a bearing, a right supporting shaft on the cradle is installed on the right supporting seat through a bearing, the left supporting shaft and the right supporting shaft are coaxially installed, and the servo rotation driving device is used for driving the left supporting shaft to rotate. The brake device is used for limiting rotation of the right supporting shaft. The cradle is of a latticed frame plate structure made of materials which are light in weight and high in bearing capacity. According to the cradle, the latticed frame plate structural design is adopted, a horizontal rotating system of the cradle is moved away, the weight of the cradle is greatly reduced, the moving inertia is reduced, the displacement precision of the cradle is improved, and therefore the machining precision and stability of the machining center are improved.

The invention discloses a grid-connected automatic detection and adjustment system for a generator car, and relates to the technical field of power supply equipment. The system comprises a real-time monitoring module at the output end of the generator and an adjusting module of the transformer, and achieves the precise control of the grid-connected output voltage and current. According to the system, the heat dissipation design based on cooling liquid phase change circulation is adopted, a multi-heat-source heat dissipation mechanism of an internal combustion engine negative pressure fan and a gas guide channel is combined, and the heat dissipation efficiency and the equipment operation stability are guaranteed. In addition, by means of the sliding disc transmission design of the internal combustion engine and the generator, optimization of anti-seismic performance and axis alignment is achieved. The planetary gear is controlled through the adjusting motor, stepless transmission ratio adjustment is completed, and the operation efficiency and the adaptive capacity are greatly improved.

The invention provides a composite material automatic fiber placement defect real-time detection and quality control method, which comprises the following steps: performing real-time detection and identification on fiber placement defects in a composite material automatic fiber placement process, and obtaining the types and sizes of the defects in real time; according to the types and sizes of the defects, accumulation is conducted on the mechanical property reduction degree variable S, caused by the defects, of the composite material forming workpiece, when S reaches a threshold value Smax, laying is stopped, the laid structure of the composite material forming workpiece is maintained, fiber laying process parameters are adjusted till laying is completed, and the maintained defects are not used for accumulation of the variable S any more. Quality control is carried out on the machining process of the composite material part according to the reduction degree of the mechanical property of the part, and closed-loop control from defect detection to quality control is achieved.

The invention relates to a parking regeneration control method and system for a range extender DPF of a diesel engine, and belongs to the technical field of automobile engines. According to the technical scheme, the parking regeneration control method for the diesel engine range extender DPF comprises the steps that S1, whether the parking regeneration condition is met or not is judged; s2, the exhaust temperature of the engine is increased, and the DOC upstream temperature reaches the set temperature value; s3, after-injection is started, the exhaust temperature of the engine is further increased, carbon deposit in the DPF is combusted, and a vehicle power battery is charged in the operation process; and S4, when the carbon loading amount of the DPF is lower than the set carbon loading amount, the engine is shut down after the temperature is reduced. According to the method, the engine utilizes the generator to provide loads, exhaust temperature increase is accelerated, DPF regeneration is promoted, meanwhile, energy generated by engine operation during DPF regeneration is recycled, the aftertreatment temperature is kept to meet the regeneration requirement, parking regeneration time is shortened, noise, loss and oil consumption are reduced, the system energy efficiency is improved, and the negative influence of parking regeneration is reduced.

The invention discloses a voltage compensation method, a voltage compensation circuit and electronic equipment. The voltage compensation method comprises the following steps: acquiring bus voltage in a power switch circuit and energy storage current in an energy storage compensation circuit; obtaining a bus amplitude limiting voltage target value by using the bus voltage target value and the bias adjustment value, and subtracting the bus voltage from the bus amplitude limiting voltage target value to obtain a bus amplitude limiting voltage error value; performing proportional integral operation and amplitude limiting processing on the bus amplitude limiting voltage error value to obtain an energy storage current target value, and subtracting the energy storage current from the energy storage current target value to obtain an energy storage current error value; performing proportional integral operation on the energy storage current error value to obtain a current regulation output value; and a compensation control signal is obtained by using the current regulation output value and is used for triggering the energy storage compensation circuit to change the charging and discharging states, so that the bus voltage is compensated and regulated to a set threshold range. Through the above mode, the voltage compensation method can effectively stabilize the bus voltage within the set threshold range, and the control logic is simple.

The invention discloses an RH one-key refining system based on machine vision, and belongs to the technical field of metallurgical engineering and intelligent manufacturing, the RH one-key refining system based on machine vision comprises a data acquisition module, a data processing module, a data storage module, a splashing prediction module and an automatic regulation and control module, the data acquisition module is used for acquiring images before and after splashing in a vacuum tank of the RH furnace and parameters of the RH furnace in an operation process, the data processing module is used for extracting texture features of the images of the vacuum tank of the RH furnace, and the data storage module is used for storing all acquired data. The splashing prediction module is used for recognizing and predicting the splashing phenomenon by building a splashing prediction model, the automatic regulation and control module is used for regulating the RH circulation flow, the oxygen supply flow and the vacuum degree, and real-time monitoring and prediction of splashing are achieved by building the splashing prediction model and replacing manual observation based on the actual working condition.

The invention discloses a mining pipe grabber pipeline grabbing method based on multi-sensor fusion, a mining pipe grabbing robot is used for grabbing a pipeline, the mining pipe grabbing robot comprises a mechanical arm, a control unit and a driving unit for driving the mechanical arm to act, and a depth camera is arranged at the tail end of the mechanical arm; the pipeline grabbing method comprises the following steps of S1, model configuration, S2, hand-eye calibration, S3, coarse positioning, S4, fine positioning, S5, path planning, S6, motion control and S7, grabbing operation. By fusing data of various sensors such as the depth camera, the laser radar, the encoder and the pressure sensor, accurate positioning and grabbing of the pipeline are achieved, and the working efficiency and safety are improved.

The embodiment of the invention provides a light source driving circuit and a light source system. The light source driving circuit comprises a processing module, a current setting module, a constant current driving module, a current acquisition module and a light source module, the processing module obtains a control instruction and outputs a control signal to the current setting module according to the control instruction; the current setting module receives the control signal, selects a first voltage signal corresponding to the control signal from the multiple paths of voltage signals and outputs the first voltage signal to the constant current driving module; the constant-current driving module receives the first voltage signal and controls the working current of the light source module according to the first voltage signal so as to control the light source brightness of the light source module; the current acquisition module acquires a second voltage signal of the light source module, processes the second voltage signal to obtain a second digital signal, and transmits the second digital signal to the processing module; the processing module also receives the second digital signal, obtains the working current of the light source module according to the second digital signal, and adjusts the output of the current setting module based on the working current of the light source module.

The utility model relates to the technical field of rehabilitation medical treatment, and discloses a high-low oxygen training system which comprises an air compressor, a heat exchanger, a filtering device, an air separation device, an air storage bag and an exhalation valve assembly used for being connected with a breathing mask, and the air compressor, the heat exchanger, the filtering device, the air separation device, the air storage bag and the exhalation valve assembly are sequentially connected. The exhalation valve assembly is provided with an oxygen concentration sensor used for detecting the real-time oxygen concentration in the exhalation valve assembly, the oxygen concentration sensor is in signal connection with the flow control valve so as to send the measured real-time oxygen concentration to the flow control valve, and the flow control valve is used for adjusting the flow of oxygen and nitrogen entering the air storage bag. The flow control valve and the oxygen concentration sensor achieve closed-loop control, the flow of oxygen and the flow of nitrogen entering the gas storage bag can be adjusted according to the real-time oxygen concentration in the exhalation valve assembly, and therefore the oxygen concentration of gas in the gas storage bag is adjusted, namely the oxygen concentration of gas output by the exhalation valve assembly is adjusted. Accurate adjustment of low oxygen concentration and high oxygen concentration is achieved, and adaptability is higher.

This invention relates to the field of pulverized coal conveying and dust removal technology, specifically to a pulverized coal dust removal method, comprising: S1: Constructing a dust removal system: setting up a dust cover on a conveyor belt, setting up a pressure-reducing chamber on the dust cover, installing wear-resistant baffles at the bottom of the dust cover, and installing a dust curtain inside the dust cover; installing a dust collector at the top of the dust cover; S2: Coal conveying and primary dust removal: starting the conveyor belt to transport coal, the coal falls onto the conveyor belt, and the generated dust-laden gas forms a local high-pressure zone under the obstruction of the dust curtain, causing a portion of the dust-laden gas to undergo primary filtration through the filter components on the pressure-reducing chamber; S3: Secondary dust removal: the remaining dust-laden gas in the dust cover is sucked into the dust collector, the dust-laden gas enters below the liquid surface of the dust collector, causing the pulverized coal particles to settle and form coal slurry, which is then transported outside the dust collector, and the purified gas is discharged through the outlet. This method achieves closed-loop control of the entire process from source dust suppression to end-of-pipe treatment through two-stage synergistic dust removal, improving the dust removal effect.