499 results about "Pressure controlled method" patented technology

The invention relates to the technical field of compression molding of carbon fiber prepregs, in particular to a partitioned pressurization control method and system for compression molding of the carbon fiber prepregs and a molding process. S2, initial pressure calculation; s3, gradient pressurization control; s4, dynamic pressure adjustment; and S5, a global pressure maintaining stage: when the resin curing degree alpha reaches 0.6-0.8, switching to a full-screen pressure maintaining mode, and maintaining the pressure of each region to be 90%-95% of the current maximum pressure value until curing is completed. The invention provides a zoning pressurization control method and system for compression molding of carbon fiber prepreg and a molding process, and realizes the compression molding method and system with accurate zoning pressure regulation and control and directional discharge of volatile components. And by integrating intelligent sensing, multi-channel hydraulic control and a data driving optimization algorithm, the limitation of a traditional process is broken through, and a technical support is provided for efficient forming of the high-performance carbon fiber composite material.

According to the new energy automobile brake pressure control method based on dynamic environment perception, a multi-window environment perception dynamic time warping algorithm is constructed, so that the similarity of different driver brake sequences is analyzed more meticulously; according to the method, a pavement adhesion coefficient observer for optimizing variable structure Kalman filtering based on a deep reinforcement learning algorithm is provided to calculate a pavement adhesion coefficient; secondly, a slip rate dynamic adjustment factor is obtained through calculation based on a wheel dynamics model, a vehicle density correction coefficient is obtained through calculation based on vehicle density, a road adhesion correction coefficient is obtained based on a road adhesion correction parameter constraint expression, and influences of different external environments on the road adhesion coefficient can be fully considered; the brake pressure calculation is more reasonable, and the driving safety is improved. According to the method, classification results of different drivers are combined, a comprehensive self-adaptive brake pressure calculation model is constructed to cope with different types of drivers, and corresponding final brake pressure is obtained.

The invention relates to the technical field of gas steel cylinder pressure control, in particular to a gas steel cylinder multi-stage pressure control method based on a self-adaptive threshold value, which can dynamically correct the influence of ambient temperature on a pressure reference value through a constructed pressure-temperature compensation function, eliminate measurement errors caused by temperature drift, and improve the accuracy of pressure control. A pressure fluctuation entropy value is calculated in real time based on a sliding window algorithm, a self-adaptive threshold value adjustment coefficient alpha is generated in combination with historical working condition database matching, a control threshold value is dynamically adjusted along with gas flow velocity fluctuation and equipment aging degree, and the pressure over-limit risk is reduced; according to the method, fuzzy neural network control is introduced in a critical adjustment stage through a multi-stage pressure adjustment strategy, an improved radial basis function dynamic updating mechanism can adapt to a pressure sudden change mode online, the control response speed is increased, and the steady-state error is controlled within + / -1.5%.

The invention provides a pressure control method of a chamber and semiconductor process equipment. The method comprises the following steps: monitoring the pressure of the chamber, monitoring the current opening degree of a pressure control valve of the chamber, and determining the actual flow introduced into the chamber based on the pressure of the chamber and the current opening degree; after the target pressure of the cavity is updated, the target opening degree of the pressure control valve is determined based on the actual flow currently introduced into the cavity and the target pressure, and the pressure control valve is controlled to be opened to the target opening degree; and performing closed-loop control on the pressure control valve based on the chamber pressure and the target pressure. According to the pressure control method for the cavity, the influence of the target pressure on the opening degree of the pressure control valve in open-loop control is considered, the influence of the real-time air inlet flow of the cavity on the opening degree of the pressure control valve is also considered, the open-loop control precision is improved, the opening degree of the pressure control valve in the open-loop control is close to the final steady-state opening degree position, and the pressure control accuracy is improved. The adjustment time of subsequent closed-loop control is shortened, the pressure control time of the cavity is shortened, and the process efficiency is improved.

The invention provides a small-capacity air bag blood pressure detection system and a precise pressure control method thereof. A micro air pump is communicated with an air inlet of a small-capacity air bag through a pipeline, and a linear proportional valve is arranged on an air release opening of the small-capacity air bag and used for controlling the opening, closing and flow of the air release opening of the small-capacity air bag; the miniature air pump is normally opened and provides stable-flow input air flow for the small-capacity air bag, the valve opening degree of the linear proportional valve is changed by executing a self-adaptive differential constant-pressure control algorithm, then the air release speed of an air release opening of the small-capacity air bag is changed, and pressure adjustment of the small-capacity air bag is achieved by changing the difference between the inflation speed and the deflation speed. According to the invention, rapid pressure stabilization can be realized, and pressure overshoot is hardly generated after the pressure is stabilized; the pressure control precision of 1mmHg at any pressure regulation step length is realized; the problem that the traditional single-parameter closed-loop control cannot meet the precise control of each pressure interval is solved; the production cost is further reduced, and the out-of-hospital scene adaptability and the popularization degree of the equipment are improved.

The invention discloses a steam pipeline pressure control method, which comprises the following steps of: acquiring operation information of each key position of a pipe network in real time by constructing a data acquisition system and deploying an execution unit; a multivariable analysis method is utilized, topological structure characteristics of a steam pipeline are combined, a load change model of a steam consumption unit is constructed, the pressure change process caused by operation of different devices is recognized in advance, and a long-term pressure control strategy is made; meanwhile, an accumulative deviation curve is constructed based on a prediction and actual measurement residual evolution sequence, the potential fault risk of the system is identified in an auxiliary manner, and structured alarm output is formed, so that the safety guarantee capability of pipe network operation is enhanced. The steam pipeline pressure control method is suitable for the application scene that the overall steam use requirement is stable, but the local high-frequency disturbance behavior exists, the tiny pressure fluctuation trend can be accurately predicted under the high-disturbance working conditions such as frequent starting and stopping, and it is guaranteed that the steam pressure is stable.

The invention relates to the technical field of annealing furnace control, in particular to an annealing furnace pressure control method and system.The method comprises the steps that pressure data in all furnace sections of a continuous bright annealing furnace, temperature data of furnace walls at all the furnace sections and flow data at outlets of pressure regulating valves used at all the furnace sections are collected in real time; presetting an adjusting period of a proportion parameter in a PID controller used by a pressure adjusting valve used by each furnace section to obtain each adjusting moment of the proportion parameter; obtaining each synchronous change moment of each furnace section in a time period between each adjustment moment and an adjacent previous adjustment moment, and obtaining a pressure characteristic value of each furnace section at each adjustment moment; obtaining a trend similar characteristic value of each furnace section at each adjustment moment; and obtaining the value of the proportion parameter in the PID controller in the time interval between each adjustment moment and the next adjustment moment adjacent to the adjustment moment so as to control the furnace pressure in each furnace section. The invention aims to improve the control precision of the furnace pressure.

The invention discloses an intelligent pressure regulation and control method and system for artery compression, and the method comprises the steps: collecting the arterial blood pressure waveform and vascular elasticity parameters of a puncture part of a patient in real time, and the multi-dimensional pressure data of a pressure sensor; constructing an initial pressure parameter set containing a pressure distribution gradient and a vascular response coefficient through a dynamic feature extraction algorithm; carrying out collaborative analysis on the initial pressure parameter set and blood flow characteristic parameters obtained through blood flow monitoring, and generating a regulation and control matrix containing an optimal compression force range and a time decay function; performing multi-target optimization processing on the regulation and control matrix through a parallel optimization algorithm to generate a real-time pressure control instruction set; based on the deviation value of the real-time pressure execution data fed back by the user interface and the blood flow monitoring data, a grading alarm mechanism is triggered, and a compression strategy is automatically corrected. By utilizing the embodiment of the invention, accurate regulation and control of the artery compression process can be realized, and the hemostatic effect is optimized and the medical quality is improved on the premise of ensuring the safety of a patient.

The invention relates to the field of welding pressure control, in particular to a friction stir welding pressure control method, system and equipment and a storage medium. A three-axis acceleration sensor is used for monitoring the vibration acceleration of a main shaft to start a pressure compensation algorithm, a thermal infrared imager is used for collecting temperature field distribution of a welding area to dynamically correct welding pressure, and after welding is completed, control parameters are reversely optimized through ultrasonic flaw detection to form a self-learning control loop. The invention further comprises a corresponding control system, electronic equipment and a computer readable storage medium. The technical effects that the friction stir welding pressure is accurately controlled, the pressure can be adjusted in real time according to factors such as material characteristics, vibration and temperature, the welding process is optimized, the welding seam quality is improved, and the control parameters are continuously improved through self-learning are achieved.

The invention discloses a wafer polishing laser interference closed-loop pressure control method, and relates to the technical field of semiconductor manufacturing, and the method comprises the following steps: S1, triggering an automatic measurement program after a ceramic plate and a wafer are overturned; s2, driving a laser interference measuring head to perform non-contact scanning on T2 / T4 point positions of the wafer through a six-axis mechanical arm positioning system to obtain thickness distribution data; s3, fitting the thickness distribution data by adopting a Zernike polynomial to generate a three-dimensional distribution diagram, and calculating a pressure correction amount based on a process dynamic model and a pressure prediction model constructed by a support vector machine regression algorithm; s4, detecting a data outlier in real time through an exception handling module, and triggering an equipment protection strategy when the deviation exceeds a set threshold value; and S5, a pressure control instruction is transmitted to the polishing head through the PROFINET bus by means of the PLC. Through non-contact laser interference measurement, the laser interference technology is applied to thickness detection of the polished wafer for the first time, the single measurement time is shorter than 20 seconds, and the detection efficiency is remarkably improved.

The invention relates to a micro-pressure oxygen cabin self-adaptive pressure control method and system based on iterative optimization, belongs to the technical field of pressure control, and aims at solving the problems that existing micro-pressure oxygen cabin pressure control depends on manual repeated debugging, the efficiency is low, and self-adaptive optimization cannot be achieved. The method comprises the steps that in the pressure stabilizing stage of the micro-pressure oxygen cabin, the pressure in the cabin is monitored in real time, and when the pressure exceeds the upper limit or the lower limit of a preset pressure interval, a pressure stabilizing wave crest section or wave trough section opening degree adjusting algorithm is executed so as to adjust the opening degree of an electric exhaust valve. And after the single oxygen therapy process is finished, executing an iterative optimization step: automatically analyzing the pressure data of the current pressure stabilization stage by the system, and iteratively updating the control parameters for the next oxygen therapy process according to the pressure data. According to the method, self-learning and evolution of control parameters are realized through a closed-loop mechanism of real-time adjustment and redisk optimization, the parameters can be quickly converged to the optimal state within multiple times of operation, the debugging period is shortened, and the stability of pressure control is improved.

The embodiment of the invention provides a dicing saw cutting pressure control method and device based on dynamic pressure prediction and a dicing saw. The method comprises the steps that S1, real-time material characteristic parameters on a cutting path are obtained through a multi-source sensor; s2, based on the material characteristic parameters, a dynamic mapping model of material characteristics and cutting pressure is established, and output parameters are predicted pressure compensation values; s3, before a cutting tool reaches a pressure sudden change area, cutting pressure is adjusted in advance according to a predicted pressure compensation value output by the dynamic mapping model, meanwhile, an actual pressure value is detected in real time through a force sensor, and pressure deviation is corrected in combination with a control algorithm; and S4, carrying out staged pressure loading on the non-uniform doping region in the heterogeneous material. According to the method, the pressure sudden change point is predicted through the dynamic mapping model, the pressure is adjusted in advance in combination with a control algorithm, and the characteristics of the adaptive heterogeneous material are loaded in stages, so that the shear mark uniformity is remarkably improved, and the material damage risk is reduced.

The invention discloses an air pressure control method for microwave plasma chemical vapor deposition diamond, and particularly relates to the technical field of microwave plasma chemical vapor deposition, and the method comprises the steps of S1, spectrum real-time monitoring, S2, machine learning prediction, S3, multi-stage air pressure regulation and control, S4, multi-parameter cooperative control, and S5, air pressure closed-loop control. According to the method, high-precision prediction of the optimal air pressure value is achieved through combination of spectrum real-time monitoring and a machine learning model, the diamond deposition quality is effectively improved by means of a multi-stage air pressure regulation and control and multi-parameter cooperative control strategy, the surface flatness and crystallinity are remarkably improved, meanwhile, precise air pressure closed-loop control and efficient gas flow are coordinated, and the precision of the diamond deposition is improved. In addition, all the modules of the system are in close fit, the stability of the deposition environment is guaranteed, the process fluctuation is reduced, the stability and reliability of the whole deposition process are enhanced, and powerful guarantee is provided for high-quality and high-efficiency production of diamonds.

The invention relates to the technical field of material transportation, in particular to a conveying pressure control method and device of a powder and particle pneumatic conveying system. The method comprises the steps that the material humidity, the conveying pressure and the air speed of a frequency conversion fan are obtained; determining a humidity adjusting coefficient; in the pressurization stage, a suppression coefficient is determined according to the current wind speed and the target wind speed; according to the humidity adjustment coefficient and the inhibition coefficient, inhibiting the proportionality item to obtain a target proportionality coefficient; enhancing the differential term in combination with the humidity adjustment coefficient and the pressure deviation to obtain a target differential coefficient; in the pressure reduction stage, the standard humidity is compared with the air speed and the conveying pressure under the material humidity at the current sampling moment and the humidity adjusting coefficient, the integral item is adjusted, and a target integral coefficient is obtained; and adjusting the conveying pressure based on the adjusted PID coefficient. The problem of asymmetry of bidirectional adjustment of pressurization and depressurization can be solved, the adjustment logic is optimized, and the conveying efficiency and stability of pneumatic conveying of powder and particle materials are improved.

The invention relates to a pressure control method and system and a storage medium. The method comprises the steps that the monitored current angle of a butterfly valve and the monitored current pressure of a process cavity are obtained; determining the current air inflow of the process chamber according to the current angle and the current pressure of the butterfly valve; determining the predicted pressure of the process chamber at the next moment according to the current angle of the butterfly valve and the current air inflow; according to the set target pressure, the predicted pressure at the next moment and the current air inflow, the target angle of the butterfly valve is determined; and the operation path of the butterfly valve reaching the target angle of the butterfly valve in the shortest time is planned, and the butterfly valve is controlled according to the operation path so that pressure control over the process cavity can be achieved. The real-time air inflow is automatically estimated, the future pressure is accurately predicted, pressure overshoot is reduced, and the stabilization time is shortened; and the opening switching speed of the butterfly valve is maximized, the target angle is reached as soon as possible within the hardware bearing range, and then the pressure response speed is increased.

The invention relates to the technical field of bag type dust removal, in particular to a supersonic speed injection pulse injection pressure control method and system, which are used for evaluating the effectiveness of single ash removal operation and optimizing the subsequent injection pressure, and the method comprises the following steps: when at least one injection unit of a bag type dust removal system executes injection operation, the injection pressure of at least one injection unit of the bag type dust removal system is controlled; a pressure monitoring device arranged on a blowing gas path of the blowing unit is used for collecting a pressure signal in the blowing gas path to obtain pressure waveform data, and the pressure waveform data represents the pressure change at the moment of blowing; extracting at least one preset dynamic characteristic parameter from the pressure waveform data, wherein the dynamic characteristic parameter reflects the blowing airflow state or the air permeability change of the filter bag; the problems that in the prior art, dust removal control is extensive, and fine evaluation and adjustment cannot be achieved are solved by collecting a pressure signal of a blowing gas path, extracting dynamic characteristic parameters, evaluating the effectiveness grade of dust removal, adjusting the blowing pressure accordingly and updating the mapping relation online at the same time.

The invention discloses a plastic pipe crack positioning method, which belongs to the technical field of nondestructive inspection, and comprises the following steps: constructing a pipe three-dimensional coordinate system, setting a three-dimensional contour scanning method, generating an effective point cloud, calculating the surface curvature of the effective point cloud, planning a detection path, generating an optimal detection path, and avoiding mechanical collision between a probe and a pipe structure. The optimal detection path is converted into a control signal, a pressure control method is set, the pre-tightening force of the position to be detected is calculated, pressure compensation is carried out on the hardened abnormal surface, so that the thin-walled tube is prevented from being damaged by pressure or the hard surface is prevented from being scratched, and the contact pressure is dynamically adjusted; transmitting sound waves to the to-be-detected position, setting a crack positioning method, performing crack detection, judging whether the to-be-detected position has defects or not, calculating a crack confidence coefficient, setting a threshold value to judge a true crack, setting a crack evaluation method, calculating a risk score of the crack, and generating a three-dimensional network model of the pipe. And the precision, efficiency and safety of plastic pipe detection are improved.

There are provided a pressure control method and apparatus and a semiconductor process device. The method includes: acquiring an actual pressure value in a process chamber in real time (S1); calculating a pressure variation of the actual pressure value (S2); and comparing the pressure variation with a preset value set in advance, controlling, in a case where the pressure variation is less than or equal to the preset value, an actuator of a pressure regulating valve to maintain a current frequency, controlling, in a case where the pressure variation is greater than the preset value, a frequency of the actuator to decrease according to a preset functional relationship until the actual pressure value reaches a target pressure value (S3), and controlling an opening change of the pressure regulating valve based on the frequency. The method solves a problem of pressure overshoot in a rapid control process of a chamber pressure, and reduces an influence of a pressure fluctuation on the process.

The invention discloses a servo pressure control method and device, equipment and a storage medium. The method comprises the steps that a pressure part is controlled to move from an initial first preset position to a second preset position; collecting a pressure feedback value of the pressure sensor; after the pressure component reaches the second preset position, inputting a preset pressure value and a pressure feedback value to the closed-loop controller to obtain a target position, and controlling the pressure component to move towards the target position; and when the pressure component moves and the pressure feedback value is detected to be equal to the preset pressure value, the pressure component is controlled to stop pressurizing. According to the method, position control is adopted in the pressing stage, the speed mode does not need to be switched, the closed-loop controller is connected after the second preset position is reached in the pressing stage, and the pressing process is smoother. A closed-loop controller based on an admittance model is adopted, the closed-loop controller outputs a target position, and the precision of controlling the pressure by controlling the target position is far higher than the precision of controlling the pressure through given speed.

The invention provides a pressure control method and system based on temperature identification, and the method comprises the following steps: obtaining the environment temperature of a space where each air bag is located, detecting the surface of each air bag, obtaining the surface temperature of each air bag, and generating a temperature distribution diagram based on the environment temperature and the surface temperature of each air bag; according to the temperature distribution diagram, determining a pressure adjustment area and pressure adjustment data of the pressure adjustment area; the invention discloses a pressure control method based on temperature identification, and the method can timely identify a potential pressure concentration area through monitoring the skin temperature change in real time, achieves the early warning, remarkably improves the timeliness and accuracy of pressure injury prevention, and effectively reduces the risk of pressure injury caused by human negligence. Precise decompression of a specific area can be achieved, the precise decompression mechanism helps to avoid the problem of excessive decompression or insufficient decompression, comfort of a patient in the decompression process is ensured, and meanwhile pressure injury is effectively prevented.

The invention discloses a solid-gas coupling hydrogen storage system and a flow and pressure coordinated regulation and control method thereof. The system comprises a gaseous hydrogen storage tank, a solid hydrogen storage tank, a hydrogen coupling regulation and control device, a hydrogen buffer tank, a solid hydrogen storage thermal management system, a high-pressure proportional valve, a low-pressure proportional valve, a three-way valve and a hydrogen storage valve. The gaseous hydrogen storage tank is connected with the hydrogen coupling regulation and control device through a pipeline, and high-pressure hydrogen is conveyed to the high-pressure inlet end of the hydrogen coupling regulation and control device. The low-pressure inlet end of the hydrogen coupling regulation and control device is connected with the solid hydrogen storage tank through a pipeline, and the outlet end of the hydrogen coupling regulation and control device is connected with the hydrogen buffer tank through a pipeline; and the pipelines of the gaseous hydrogen storage tank and the solid hydrogen storage tank are simultaneously connected with the three-way valve. According to the system, efficient and safe hydrogen storage and supply are achieved through the synergistic effect of all the components, and reliable technical innovation and support are provided for hydrogen energy application.

The invention relates to the technical field of valve control, and discloses a butterfly valve and a pressure control method thereof.The method comprises the steps that the butterfly valve is started multiple times, data of the pressure, the opening degree and the air exhaust rate of a plurality of sets of butterfly valves are obtained, and a three-dimensional power function model is established based on the pressure opening degree and the air exhaust rate; the pressure of the butterfly valve is collected in real time for multiple times in the opening and closing process of the butterfly valve, and the pressure change rate is calculated; the target pressure of the butterfly valve is set, and the ideal pressure change buffering rate of the butterfly valve is calculated based on the collected current pressure of the butterfly valve; calculating the opening degree of the butterfly valve under the target pressure; and the butterfly valve is controlled to move to the calculated target opening degree to complete control adjustment of the butterfly valve. Pressure data are collected in real time; updating butterfly valve air exhaust model parameters in a learning mode; calculating the position of a target valve and adjusting in advance; and system parameters are continuously optimized, and high precision and quick response capability of the system are ensured.

The invention discloses a federated learning-based air pressure control method for a predictive drive type household respirator, which relates to the technical field of household sleep respirators and comprises the following steps of: training a double-layer long-short-term memory network model by using a self-adaptive moment estimation optimizer to obtain a tidal volume prediction model; aggregation optimization is carried out on the tidal volume prediction models of the breathing machine ends through federal learning, and an optimized global tidal volume prediction model is obtained; the physiological data collected by the respirator end in real time are predicted, and the tidal volume of the patient is obtained; the air pressure output of the breathing machine is adjusted based on the tidal volume. Through cooperative work of the cloud end and the breathing machine end, the neural network model is optimized by using the federated learning algorithm, on the premise of ensuring data privacy, the prediction precision and control performance of the breathing machine are continuously improved, the model used in the breathing machine can be ensured to be more accurately matched with breathing events of different groups, and the breathing efficiency is improved. And the prediction precision and the control effect are improved.

The invention relates to the technical field of medical instruments, and discloses a flexible ureteroscope sheath device and a pressure control method thereof.The flexible ureteroscope sheath device is characterized in that one end of a connector tube seat is connected with a sheath tube, the other end of the connector tube seat is provided with three connectors, the first connector is connected with a pressure relief device and a control device, the second connector is used for a flexible ureteroscope and perfusion, and the third connector is used for negative pressure suction; a central channel is arranged in the sheathing canal, and passage type pressure measuring sensors are axially and uniformly arranged around the channel; the control device comprises an adjusting key, a digital display, an indicating lamp and a buzzer, and is electrically connected with the pressure measuring sensor and the pressure relief device; the control device comprises an automatic pressure relief module which is used for collecting analog voltage signals and converting the analog voltage signals into pressure data values, and when a detection value reaches a set threshold value, the electric control pressure relief device automatically relieves pressure. According to the invention, real-time and continuous detection and control of the pressure in the cavity are realized.

The invention discloses a safe ureter dilatation guide wire system and a progressive pressure control method, and relates to the technical field of medical instruments.The safe ureter dilatation guide wire system comprises a guide wire body and a pressure sensor, the guide wire body comprises a water bag structure and a double-cavity structure which are communicated, the water bag structure is made of an elastic structure, and the double-cavity structure is made of an elastic material; the interior of the water bag structure is used for being filled with expansion liquid and expanding according to the target volume so as to expand the narrow position of the ureter. A guide wire cavity and a liquid injection cavity which are independently arranged are formed in the double-cavity structure, the guide wire cavity and the liquid injection cavity are both communicated with the water bag structure, the guide wire cavity is used for allowing the identification light source to penetrate through, and the liquid injection cavity is used for providing expansion liquid for the water bag structure; the pressure sensor is installed outside the water bag structure so as to detect the pressure of the inner wall tissue of the ureter in real time. According to the technical scheme, the problem that an existing ureter guide wire cannot monitor the deformation state of narrow tissue in real time is solved.

The invention discloses a water supply pipe network dynamic pressure control method and system based on multi-parameter fusion, and relates to the technical field of water supply pipe network control, and the method comprises the steps: carrying out the standardization processing and topological optimization of pipe network geographic information system data, and constructing an urban pipe network topological graph; identifying a pressure sensitive node and a distance sensitive node based on a hydraulic calculation result of the mechanism calculation model; performing association coding on historical monitoring data of the key nodes and a topological connection relationship, and training a machine learning model fusing pipe network topological constraints; collecting real-time monitoring data, inputting the real-time monitoring data into the mechanism calculation model and the machine learning model, and respectively obtaining offline adjustment parameters and online adjustment parameters; and determining a final adjusting instruction through consistency verification to control water supply pump set equipment. According to the method, the calculation precision of the mechanism model and the response speed of the machine learning model are fused, organic unification of accuracy and real-time performance is achieved, and the control stability and reliability under the abnormal working condition are improved.

The invention belongs to the technical field of laser welding, and particularly relates to a synchronous laser plastic welding pressure control method and device.The method comprises the following steps that S1, in the presetting stage, target welding pressure is set for a laser welding system; s2, a preparation stage: driving a lifting platform to move through a servo motor so as to link a lower mold to ascend and to be assembled with an upper mold, so that the pressing force of the first welding piece and the second welding piece reaches target welding pressure; s3, in the welding stage, a laser device is started, laser welding is conducted on the first welding piece and the second welding piece, the torque of a servo motor is adjusted through a PID control algorithm, so that the first welding piece and the second welding piece keep constant pressure, and the laser welding depth is gradually increased; s4, a pressure maintaining stage, wherein the pressure maintaining process is executed on the target workpiece, so that the laser welding depth of the target workpiece is slightly increased; and S5, a feedback stage: calculating the actual welding depth of the target workpiece and feeding back the actual welding depth to a control system to judge whether the actual welding depth meets the welding standard or not.

The invention provides a self-adaptive air pressure control method for semiconductor polishing, and relates to the technical field of polishing control, the method comprises the following steps: obtaining a cascade air pressure control module of chemical mechanical polishing equipment; constructing an original three-dimensional model and a preset polishing target three-dimensional model of the semiconductor wafer to be processed; performing space alignment fitting to generate a to-be-polished model; neighborhood clustering is carried out according to multi-point polishing requirements; based on the multiple clustering areas and the polishing demand identification information, in combination with preset polishing solution information, polishing air pressure optimization is carried out, and multiple optimal polishing air pressure parameters of the multiple clustering areas are obtained; and based on the first air pressure regulator, air pressure control signals are generated according to the multiple optimal polishing air pressure parameters for polishing control, and feedback optimization control is conducted through the second air pressure regulator. According to the invention, the technical problem that the polishing parameter setting is not accurate enough in the prior art can be solved, and the technical effect of improving the semiconductor polishing accuracy and efficiency is achieved.

According to the turnover device capable of adjusting the pressure of the machine head of the floor machine and the pressure control method of the turnover device, in the device, the extension rod of the linear driving module is rigidly connected with the pressure adjusting rod of the elastic pressure adjusting module, and double springs with different rigidities are matched, so that the pressure of the machine head can be flexibly adjusted, and various floor treatment requirements are met; the shaft pin weighing sensor accurately detects the pressure of the machine head through a stable structure and feeds back the pressure, and a basis is provided for adjustment of the central control unit. The machine head roll-over stand is hinged to the elastic pressure regulating module shell, so that the flexibility of the machine head is improved; according to the pressure control method, in the pressure adjusting stage, the central control unit accurately adjusts the pressure by means of real-time feedback of a sensor in combination with a positive pressure mode, a negative pressure mode and a PID (Proportion Integration Differentiation) algorithm; in the lifting execution stage, the lifting angle is limited; the target pressure calculation formula is scientific and reasonable, a reliable scheme is provided for efficient, accurate, stable and diversified pressure control of the floor machine, and the floor processing quality and effect are improved.

The invention relates to the technical field of high-end equipment manufacturing, in particular to a friction stir welding system pressure control method and system, electronic equipment and a storage medium, and the method comprises the steps that real-time sensor data in the welding process is obtained, and a controller preset algorithm module is used for analyzing and processing to obtain a real-time pressure value; and meanwhile, a plurality of modules such as a self-adaptive control algorithm module, a pressure prediction model, an online parameter identification model, a multi-mode switching module, an abnormal prediction model and an equipment health state evaluation model are further arranged to realize dynamic adjustment and control. The effects that the working pressure value of the friction stir welding system can be continuously and dynamically adjusted, the welding process is kept stable, self-adaptive control and precise control are achieved, the welding quality stability is improved, abnormity is early warned, parameters are adjusted, and the fault-tolerant threshold value is dynamically adjusted to maintain the control precision are achieved.