3802 results about "Pressure sensing" patented technology

The invention relates to the technical field of automatic welding control, and particularly discloses a multi-station automatic welding cooperative control method for electric iron accessories, which realizes full-closed-loop accurate control of a welding process through multi-sensor data fusion and an intelligent optimization algorithm. According to the method, an infrared thermal imager, an acoustic emission sensor and an ultrasonic thickness measuring device are adopted to collect molten pool temperature field, sound wave frequency spectrum and fusion depth data in real time, after feature extraction, the data are input into a multi-target optimization model, and a Pareto optimal solution set is generated with the fusion depth, the width of a heat affected zone and phase change latent heat as optimization targets; dynamically adjusting a segmented welding-back path and process parameters on the basis of an optimization result, and triggering model iterative correction through ultrasonic online monitoring; the central control unit adopts space voxelization monitoring and a three-level collision avoidance strategy to coordinate operation of the multiple mechanical arms, and collision emergency protection is achieved in combination with flexible pressure sensing.

The invention provides a seat comfort optimization calculation method based on a sensor and AI modeling, and the method comprises the steps: collecting the pressure distribution data of the sitting posture of a passenger and a spine contact area in real time through an attitude sensor and a pressure sensor which are disposed on a seat; a seat supporting area is divided into a cervical vertebra area, a thoracic vertebra area, a lumbar vertebra area and a sacrococcygeal area, and a pressure distribution prediction model of each area is established; constructing an input vector based on the average pressure, the maximum pressure, the pressure gravity center, the body type parameter and the pathological weight factor, and outputting a target support pressure value, a pressure avoiding curve and a neighbor cell migration proportion of each partition by using an artificial intelligence model; dynamic adjustment is achieved through the partitioned air bag and the driving unit, and secondary fine adjustment and protection are achieved in combination with feedback monitoring. The system comprises a posture sensing module, a pressure sensing module, a data processing module, a model building module, a regulation and control execution module and a feedback monitoring module, and self-adaptive regulation and control of different areas of the spine of a passenger can be achieved.

The invention provides a dynamic monitoring method for a soil mass seepage field of a power transmission tower slope. According to the method, related data of the slope are acquired through multi-source data acquisition and technologies of pressure sensing and static pressure measurement, displacement monitoring, multi-sensor fusion, Beidou / GPS positioning, resistivity method exploration, soil moisture content monitoring and the like; fusing the collected multi-source data, analyzing the dynamic change of the seepage field by using a risk assessment model and a machine learning algorithm, and predicting the evolution trend of the seepage field; a lightweight model is deployed at a monitoring terminal to realize local rapid processing of data, alarm information is immediately sent out once an abnormal state is monitored, and scientific and reasonable decision support is provided for protection and treatment of a transmission tower slope according to early warning information in combination with a pre-made decision scheme; according to the invention, the accuracy and timeliness of transmission tower slope soil seepage field monitoring can be effectively improved, and the threat of landslide and other disasters to a transmission line is reduced.

The invention discloses an energy-saving control method based on a building group spatial form, which relates to the technical field of energy-saving control, and comprises the following steps: constructing an airflow track analysis region based on a region with hot pressure difference direction change in a spatial pressure covering sensing matrix, and collecting continuous wind direction and wind speed data; judging whether the airflow direction is abnormal or not according to the change of the flow direction consistency entropy; performing spatial coincidence processing on the spatial pressure shielding sensing matrix and the airflow direction abnormal region, and generating an air outlet ventilation and heat extraction efficiency evaluation index based on the heat conduction rate in the coincidence region and the stability of an airflow output path; and on the basis of the ventilation and heat removal efficiency evaluation index of the exhaust outlet, an exhaust response condition matrix containing a space pressure shielding parameter, an airflow disturbance level and a heat retention level is constructed, and a ventilation control judgment sequence is generated. According to the method, the problem of air exhaust failure under pressure shielding interference is solved, ventilation efficiency accurate judgment and energy-saving regulation and control optimization are achieved, and the ventilation stability and the energy utilization efficiency of the building group are guaranteed.

The invention discloses a dynamic geological survey system and a construction simulation method. The dynamic geological survey system comprises an intelligent sensing and data acquisition module and a multi-source data fusion processing module, the intelligent sensing and data acquisition module comprises a Raman scattering optical fiber strain sensor array, a three-component seismometer monitoring network and a distributed optical fiber pressure sensing subsystem; the Raman scattering optical fiber strain sensor array, the three-component seismometer monitoring network and the distributed optical fiber pressure sensing subsystem form a multi-dimensional sensing network for shield construction geological monitoring. By means of the integrated intelligent sensing and data acquisition module, geological changes in the shield construction process can be monitored. The Raman scattering optical fiber strain sensor array, the three-component seismometer monitoring network and the distributed optical fiber pressure sensing subsystem jointly form a multi-dimensional sensing network, geological strain, microseismic events, pore water pressure and other key information can be captured, and comprehensive geological data support is provided for construction.

The invention relates to the technical field of gas cylinder detection, in particular to a gas cylinder airtightness detection device which comprises a base, a clamping rotating structure is arranged at the upper end of the base, a gas cylinder is clamped on the clamping rotating structure, a lifting structure is arranged at the upper end of the base, and a sealing shell arranged on the outer side wall of the gas cylinder in a sleeving mode is installed on the lifting structure. An air pressure sensing structure is installed at the upper end of the sealing shell, four air bag shells are arranged on the bottom of an inner cavity of the sealing shell in a circumferential array mode, the outer wall of a gas cylinder is clamped through the four sealing gaskets and the air bags, effective sealing can be conducted when the outer wall of the gas cylinder is uneven, and the detection accuracy is improved; and meanwhile, the outer surface of the gas cylinder is cleaned by the cylindrical gas bag through expansion rotation of the cylindrical gas bag, when the gas bag is wizened, self-cleaning can be achieved when the gas bag rotates through sagging of the gas bag, gaps between the sealing gaskets can be filled when the gas bag is subjected to secondary expansion, and the result stability is improved.

The invention provides a multi-signal fusion massage glove teaching system and a control method, and the system comprises a glove body, and a pressure sensing module, a motion sensing module and a myoelectricity sensing module which are disposed on the glove body, and is in electric signal connection with the pressure sensing module, the motion sensing module and the myoelectricity sensing module through a control unit. The control unit is used for analyzing the collected massage pressure, motion trail and electromyographic signals, and synchronous and in-situ collection of force-motion-physiology multi-dimensional information of massage manipulation in a real clinical environment is achieved. The design overcomes the limitation that in the prior art, a real operation scene is separated, and only single-aspect measurement can be carried out, and a hardware foundation is laid for comprehensive and objective quantitative evaluation of the massage manipulation. The integrated structure greatly facilitates the use of an operator, and the system can evaluate the manipulation quality online and give guidance immediately, thereby greatly improving the teaching efficiency and the training effect.

The invention discloses a high-precision pressure sensing and self-calibration system, and relates to the technical field of pressure sensing, the system comprises a pressure sensing module, an environment monitoring module, a data processing module, a digital twinning module and a self-calibration module, the pressure sensing module collects and converts pressure signals through a high-precision sensor, and the environment monitoring module obtains environment parameters in real time; the data processing module carries out amplification, filtering, analog-to-digital conversion and timely frequency domain analysis on the initial electric signal, and outputs preprocessed data in combination with environmental parameter dynamic compensation. The digital twin module constructs a sensor virtual model, and simulates and outputs an ideal pressure predicted value; and the self-calibration module compares the predicted value with the preprocessed data, generates a final pressure value through deviation calculation, iterative learning and data fusion, and can also calculate the health index of the sensor and perform early warning maintenance. The system realizes high-precision pressure induction and real-time self-calibration, improves the measurement accuracy and prolongs the service life of the sensor.

Ultrasound probes, ultrasound systems, and ultrasound methods with pressure measurement capabilities for detecting and determining if bodily tissue is over-compressed during ultrasound imaging procedure. An ultrasound probe can include a probe body, an articulating probe head attached to the probe body, and a pressure-sensing device housed in an articulating area between the articulating probe head and the probe body. A method can include placing the articulating probe head of the ultrasound probe on a skin surface of a patient and moving the articulating probe head of the ultrasound probe over the patient while ultrasound signals are emitted into the patient from the articulating probe head. The method can also include monitoring for measured pressure values induced on the patient by the articulating probe head to determine whether a threshold pressure value has been exceeded.

The invention discloses a surgical operation system with a training or auxiliary function, particularly relates to the field of intelligent surgical operation systems, and cooperatively works through five modules including multi-modal sensing, layered AI decision making, dynamic feedback, closed-loop learning and an expansion interface. MEMS pressure sensing and biological signal fusion sensing are adopted, strategic layer three-dimensional navigation and execution layer magneto-rheological damping control are combined, and an operation whole-process optimization system is constructed; a multi-source data persistent evolution model is integrated through federal learning, and precise man-machine interaction is realized by matching eye movement tracking AR and a variable stiffness touch glove. According to the system, the intraoperative risk identification accuracy is improved, the operation efficiency is improved, third-party equipment extension and doctor skill quantitative evaluation are supported, and the operation safety and the training standardization level are remarkably improved.

The invention discloses a temperature and pressure sensor for a new energy automobile, and belongs to the technical field of sensor equipment, the temperature and pressure sensor comprises a plug assembly, a shell and a protective sleeve, a support seat, a circuit board, a temperature sensing probe and a pressure sensing element are arranged in the shell, the protective sleeve is arranged at the lower waist part of the support seat, and the temperature sensing probe is located in the protective sleeve and is in electric signal connection with the circuit board; a square groove for containing the pressure sensing element and the circuit board is formed in the top of the support base, the pressure sensing element is arranged at the bottom of the circuit board and is in electric signal connection with the circuit board, and a pressure transmission channel is further arranged in the shell. The pressure transmission channel comprises a gap part defined by a protective sleeve and a shell and a special-shaped channel formed in the support base, a circular pressure groove is formed in the square groove, the circular pressure groove is matched with the pressure sensing element to form a pressure cavity which is eccentrically designed relative to the shell in the axial direction, and the special-shaped channel is formed in a medium leading-in area. Therefore, the medium entering surface area can be increased through the eccentric design, and the response speed of medium pressure measurement is ensured.

The invention provides a warp-knitted interval sensing fabric and a preparation method and application thereof, a pressure sensor, a pressure sensing foot pad and a plantar pressure value acquisition system, and belongs to the technical field of flexible sensors. The warp-knitted interval sensing fabric comprises an electrode layer, a monofilament interval layer and a sensing layer which are sequentially laminated; the warp-knitted interval sensing fabric is of an integrally formed structure; the electrode layer is provided with a full-penetrating double-comb structure and comprises a plurality of conductive strips which are arranged in parallel, and an insulating strip is arranged between every two adjacent conductive strips; the monofilament spacing layer is formed by mutually connecting fiber coils, and the electrode layer and the sensing layer are connected through the fiber coils; the sensing layer has a full-penetration double-comb weave and is obtained by weaving sensing yarns. According to the warp-knitted spacer sensing fabric pressure sensor, the electrode layer, the monofilament spacer layer and the sensing layer are integrally formed, the process is simple, the cost is low, and large-scale production and practical application are facilitated.

The invention provides a packaging and sintering control method and device for a power semiconductor device, and the method comprises the steps: achieving the monitoring of a dynamic stress field of a chip and a substrate interface through an embedded pressure sensing array, and obtaining the real-time stress distribution data. And in combination with a material characteristic database, multivariable collaborative optimization is performed on sintering process parameters, so that dynamic adjustment of the parameters is realized. The temperature and pressure curves of all the areas of the sintering platform are dynamically adjusted according to the optimized technological parameters by means of the micro induction heating element and the piezoelectric actuator, and refined self-adaptive multi-area sintering control is achieved. The sintering interface is subjected to real-time nondestructive testing, the interface quality index is obtained and serves as a feedback parameter to be input into the optimization process, closed-loop control is formed, and the accuracy of the sintering process is improved. The problems of uneven stress distribution and inconsistent bonding strength in the prior art are solved through a comprehensive real-time monitoring and dynamic regulation and control method, and the packaging quality and reliability of the power semiconductor device are remarkably improved.

The invention discloses an intelligent pressure self-adaptive anti-bedsore nursing mattress system which comprises a flexible pressure sensing layer configured on the surface of a mattress and used for monitoring pressure distribution data of all parts of the body of a lying person in real time; the multi-air-chamber dynamic adjusting structure comprises a plurality of independent air chambers capable of being inflated and deflated, and the air chambers are distributed in the mattress and used for adjusting the supporting pressure of the corresponding areas according to instructions; the edge intelligent control module analyzes data based on a preset artificial intelligence algorithm to predict a bedsore occurrence risk area, and generates a control instruction according to a prediction result to drive the multi-air-chamber dynamic adjustment structure to adjust the pressure of each air chamber; and the environment regulation and control system comprises a temperature and humidity sensor and a microenvironment regulation device. Through real-time body pressure monitoring, AI risk prediction, dynamic pressure regulation and temperature and humidity coordinated regulation and control, local pressure can be remarkably reduced, a high-risk area can be early warned in advance, and a local microenvironment is improved, so that bedsores are effectively prevented, and nursing dependence is reduced.

The invention provides a wheel tread derailment detection method and system for a railway vehicle. According to the method, jacking driving devices with jacking rotating wheels are symmetrically arranged on the two longitudinal sides of a track, a pressure sensing unit is arranged between the two jacking rotating wheels, optical detection units with orthogonal optical paths are installed on the outer sides, and displacement measurement units are integrated on the jacking rotating wheels, so that a three-dimensional detection network is formed. During detection, a top rotating wheel lifts a wheel step by step, a blocking signal, tread pressure and a vertical displacement parameter are synchronously collected, and a space mapping relation between a pressure decreasing path and a displacement abnormal point is established; converting the blocking signal into a blocking release rate, and calculating a displacement accumulated value in combination with a space mapping relation; and when the displacement accumulated value is continuously increased and the blocking release rate exceeds a threshold value, wheel-rail separation is judged, and jacking is controlled to be stopped. Through cooperative detection and analysis of multiple sensors, accurate judgment and self-adaptive jacking control of the wheel-rail separation state are achieved, and the problem of wheel diameter adaptability of a traditional fixed jacking mode is effectively solved.

The utility model provides a flexible temperature-pressure dual-mode sensor for battery expansion force detection. The flexible temperature-pressure dual-mode sensor comprises an upper-layer substrate, a pressure sensitive layer, an upper temperature sensitive layer, an electrode layer, a middle-layer substrate, a lower temperature sensitive layer and a lower-layer substrate which are sequentially arranged from top to bottom, the electrode layer comprises a pressure sensing electrode layer and a temperature sensing electrode layer; the pressure spacing layer is connected with the upper-layer substrate and the middle-layer substrate so as to form a space between the upper-layer substrate and the middle-layer substrate, the pressure sensing electrode layer is arranged on the middle-layer substrate, and the pressure sensitive layer and the pressure sensing electrode layer are separated from each other; the upper temperature sensitive layer and the lower temperature sensitive layer are connected in series through the temperature sensing electrode layer. By applying the technical scheme, the flexible temperature-pressure dual-mode sensor for detecting the expansion force of the battery can be provided, the temperature and pressure changes during expansion of the battery can be accurately measured, the process complexity is reduced, and the practical application range is widened.

The utility model discloses a temperature and pressure sensor for a new refrigerant, which comprises a shell with a built-in pressure sensing component, the shell is externally connected with an electric appliance connector connected with the pressure sensing component, and the shell is internally provided with an NTC (Negative Temperature Coefficient) thermistor connected with the pressure sensing component; the pressure sensing component is a five-pin ceramic capacitor, two pins of the five-pin ceramic capacitor are temperature measuring pin bodies which penetrate through a ceramic capacitor body and are connected with the NTC thermistor, and a pressure-resistant protective ring which surrounds the temperature measuring pin bodies is arranged between the pressure sensing component and the shell in an extruding manner. According to the utility model, the five-pin ceramic capacitor is used as a pressure sensing component, two pins for temperature measurement are designed to be of a straight-through type structure, and the withstand voltage protection ring with a double-ring-layer withstand voltage protection structure is arranged, so that the withstand voltage capability of the temperature and pressure sensor is improved.

The invention discloses a high-reliability pressure-isolating and pressure-picking type optical fiber pressure sensor and a measuring method.The high-reliability pressure-isolating and pressure-picking type optical fiber pressure sensor comprises a sensor component, a first optical fiber, a second optical fiber, a temperature compensation boss and a diaphragm, the first optical fiber, the second optical fiber, the temperature compensation boss and the diaphragm are located in the sensor component, and the sensor component comprises a cylinder, a fixing piece and a sealing component and forms a pressure-isolating cavity; the first optical fiber is arranged in a temperature compensation boss connected with the fixing piece, the second optical fiber is connected with the fixing piece, the second optical fiber and the cylinder body form a synchronous microcavity temperature compensation structure, the diaphragm is arranged in the cylinder body, the diaphragm and the first optical fiber form a Fabry-Perot cavity, and the sensor component and the temperature compensation boss form a temperature self-compensation structure; according to the sensor, single pressure sensing of the diaphragm is achieved through the design of the pressure isolation cavity, the influence of temperature on the cavity length is greatly reduced through the temperature self-compensation structure and the synchronous microcavity temperature compensation structure, different measurement ranges are met by reasonably designing size parameters of the diaphragm, the creep deformation problem of the diaphragm is restrained through the diaphragm with the homogenized stress, and the measurement accuracy is improved. And the reliability and the stability of the sensor are improved.

The invention provides an automobile seat massage adjusting method and adjusting system, and belongs to the technical field of automobile seat intelligent massage control. The method comprises the steps that seat multi-area pressure sensing data are collected, and a pressure feature matrix and a massage mode classification model set are constructed; setting a user body type parameter adjustment category set, and establishing a parameter fusion association model based on historical use data; current pressure and vibration characteristic parameters are extracted, and an optimized parameter set is generated through characteristic optimization; and updating massage control logic and calibrating a parameter matching position. The system comprises a data acquisition module, a model construction module, a feature optimization module and a calibration module. By dynamically fusing real-time data and historical parameters, self-adaptive adjustment of massage intensity is achieved, the problem that a traditional fixed mode cannot be matched with personalized requirements is solved, meanwhile, the parameter calibration precision is improved through a coordinate mapping algorithm, and user experience is improved.

A composite structure for a pressure sensor, a pressure sensor, a method of pressure sensing using the pressure sensor, and a method of fabricating a composite structure for a pressure sensor. The method of fabricating a composite structure for a pressure sensor comprises the steps of forming an array of microstructures made from an elastomeric material; and forming a flexible conductive coating on the array of microstructures such that a surface morphology of microstructures is substantially maintained for the coated array of the microstructures; wherein the conductive coating exhibits a Young's modulus that is higher than that of the elastomeric material.

A laminated three-dimensional pressure sensing device disclosed by the present invention comprises a force sensitive part, an insulating part and an electrode, the force sensitive part and the insulating part are sheet-shaped, the force sensitive part is formed by stacking at least two flexible piezoresistive conductive layers, the insulating part is arranged between every two flexible piezoresistive conductive layers, and the electrode is arranged between the insulating part and the force sensitive part. The insulating part is made of an insulating elastic deformable material, a plurality of electrodes are arranged on the periphery of each flexible piezoresistive conducting layer, and the electrodes are used for leading out resistance distribution data in each flexible piezoresistive conducting layer through wires. On the basis, the laminated three-dimensional pressure sensing equipment has the characteristics that the structure is simple, the whole body is made of a full-flexible material, electrodes and wires only need to be arranged on the periphery, no wire is needed in the interior, good attachment can be achieved according to the shape of a curved surface, a flat touch interface can be achieved, and the application range is wide. And the three-dimensional pressure measuring range is very wide, and the sensitivity is higher, so that the sensitivity and the measuring range of three-dimensional force measurement are improved.

The invention discloses a diamond piezoresistive material and pressure sensing application thereof, and particularly relates to a boron-doped diamond-based piezoresistive material and an application method thereof in a sensor, a gradient doping structure and heterogeneous layer design are adopted, and the diamond piezoresistive material with high sensitivity, high linearity, temperature stability, corrosion resistance and radiation resistance is constructed; by optimizing a CVD process and a pattern etching structure, stable piezoresistive response in an environment of-60 DEG C to 250 DEG C is realized, the cycle life exceeds 10 times, and the high-reliability piezoresistive sensor is suitable for high-reliability sensing devices under extreme working conditions such as aerospace engines, deep sea detection equipment and nuclear reactors.

The invention belongs to the technical field of batteries, and discloses a battery pack, a sealing structure and a design method thereof, and the method comprises the steps: obtaining three-dimensional point cloud data of a sealing interface of the battery pack through a three-dimensional scanner, constructing a digital twin model, importing constitutive parameters of a sealing material, recognizing a curvature mutation region, executing differential grid division, and generating a compression ratio distribution cloud picture. Marking the early warning coordinates of which the compression ratio is lower than a set threshold value; calculating a local thickness increment by adopting a gradient compensation algorithm based on the geometrical characteristics of the early warning coordinates to construct gradient thickness sealing gasket parameters; a gradient thickness sealing gasket with a built-in pressure sensing film is manufactured through 3D printing equipment, and the gradient thickness sealing gasket is assembled to the entity battery pack for a multi-working-condition sealing test; dynamic pressure distribution data and a leakage rate curve in a multi-working-condition sealing test are collected, an LSTM neural network is trained to construct a time-varying aging prediction model, an anti-aging thickness compensation coefficient matrix is output, and the design reliability of the battery pack sealing structure is improved.

The invention discloses high-efficiency motor iron core laminating equipment which comprises a base, a support fixedly mounted at the top of the base, a top plate fixedly mounted at the top of the support, an air cylinder mounted at the top of the top plate, a punch structure mounted on an output shaft of the air cylinder, and a stepping motor mounted in the center of the inner wall of the base. A rotating shaft is mounted on an output shaft of the stepping motor, and the rotating shaft and the base are rotationally mounted through a bearing; and the stamping disc is rotationally installed at the top of the base, a groove is formed in the bottom of the stamping disc, and the inner wall of the groove and the top of the rotating shaft are fixedly installed. According to the device, through three core technologies of electromagnetic-mechanical composite driving, a multi-stage buffer structure and precise rotation positioning, the positioning repetition precision, the controllable damping characteristic of the magnetorheological fluid damper and closed-loop control formed by a pressure sensing feedback system, the lamination quality consistency is remarkably improved, electromagnetic limiting and electromagnetic stripping of a motor iron core are facilitated, and the production efficiency is improved. The use effect is good and the efficiency is high.

The invention discloses a seat, a seat control method, an intelligent cabin and a terminal, and is applied to the technical field of vehicle-mounted equipment. The seat comprises a seat body, a mounting part and a first pressure sensing module, the mounting part is fixedly connected with the seat body, the first pressure sensing module is arranged on the mounting part, the first pressure sensing module comprises a plurality of film pressure sensing units, and the film pressure sensing units are distributed on the side, facing a seat back of the seat, of the mounting part. The first pressure sensing module is used for collecting pressure data. According to the seat, the mounting part is arranged at the seat back of the seat, and the first pressure sensing module is arranged on the mounting part, so that the pressure data at the seat back of the seat can be monitored, whether a passenger behind the seat is extruded by the seat or not can be better known, and the riding safety of the passenger is improved. By means of the thin and light characteristics of the thin film pressure sensing unit, pressure data can be accurately obtained, meanwhile, the attractiveness of the seat is not affected, and the riding safety can be improved.

The invention relates to the technical field of intelligent control of injection molding machines, in particular to an injection molding machine closed-loop mold adjustment control system and method based on multi-sensor fusion and a self-adaptive algorithm, and the system comprises a sensing layer which adopts a multi-sensor fusion closed-loop feedback architecture and comprises a pressure sensing array, a displacement sensing unit and a temperature sensing array. The data acquisition module is used for synchronously acquiring mold clamping force, position and temperature data of a mold, constructing a three-dimensional error compensation model and realizing dynamic correction of the parallelism of the mold through space force field analysis; the execution layer comprises a servo motor, a belt wheel and a ball screw and is used for adjusting the position of the template; a double-closed-loop control module is arranged in the control layer, the double-closed-loop control module comprises outer ring mold clamping force control and inner ring position control, mold clamping force deviation serves as input of an outer ring, position correction is generated through a self-adaptive PID algorithm, the inner ring converts the position correction into a servo motor rotation angle instruction, and therefore precise control over the mold clamping force is achieved.

The invention discloses a critical patient pressure sore intelligent early warning and automatic turning-over system based on pressure sensing, and relates to the technical field of intelligent medical monitoring. Comprising a data acquisition and fusion module used for acquiring pressure-blood oxygen time sequence data of a patient after alignment processing; the risk assessment module is used for calculating the blood oxygen decline rate and generating a dynamic quantitative score by combining the blood oxygen decline rate with the pressure intensity value; the dynamic adjustment and optimization module is used for obtaining historical intervention data of the patient, performing personalized dynamic adjustment and optimization and generating a multi-level risk threshold value; the threshold judgment module is used for comparing the dynamic quantitative score with a multi-level risk threshold and generating an intervention instruction; the strategy generation module is used for generating self-adaptive turning parameters according to the score and historical data; the execution feedback module is used for executing body position adjustment and collecting the blood oxygen recovery rate to update historical data. According to the invention, dynamic and quantitative evaluation and personalized automatic intervention of the pressure sore risk are realized, and the accuracy and safety of critical care are effectively improved.

The invention relates to the technical field of photovoltaic module manufacturing, in particular to a lamination process parameter self-adaptive regulation and control system and method. Comprising a multi-source sensing module, an edge calculation module and a dynamic execution module, and temperature, pressure and thickness data of a lamination process are collected in real time through an infrared thermal imaging unit, a distributed pressure sensing unit and an ultrasonic thickness monitoring unit; the edge calculation module adopts a CNN-LSTM hybrid model to perform spatial-temporal feature fusion analysis on the multi-source data, predicts a defect risk level and generates a regulation and control instruction; the dynamic execution module achieves dynamic parameter adjustment through the partition temperature control unit, the hydraulic servo unit and the emergency braking unit, the problems of parameter stiffness, defect detection lag and the like of a traditional lamination process are solved, the AOI spot check defect rate is reduced to 0.6% from 1.3%, the lamination period is shortened by 3 minutes, and the production efficiency and the product quality are remarkably improved.

The invention relates to the technical field of easy-to-open cap production control, and discloses a beverage easy-to-open cap production line control system and method. A sensing monitoring module of the system collects a cover deformation sensing data flow and an assembly pressure sensing data flow in real time; the quality feature detection module performs geometric feature analysis on the basis of a preset cover deformation constraint condition in combination with the cover deformation sensing data stream to generate cover mass distribution feature information; the process decision-making module generates a primary process decision-making scheme based on an embedded process decision-making space and a process fitness constraint condition in combination with cover body mass distribution characteristic information and an assembly pressure sensing data flow; a trend prediction module performs production trend prediction on the two types of data to obtain predicted quality distribution characteristic information and predicted assembly pressure data; the process compensation module compensates and optimizes the primary process decision scheme based on the prediction data to generate an optimized process decision scheme; and the execution control module controls the punch forming mechanism based on the optimization scheme.

The invention discloses a wearable plantar pressure and three-dimensional gait analysis system, and relates to the technical field of gait analysis, the system comprises a wearable in-shoe plantar pressure analysis subsystem and a three-dimensional gait analysis subsystem; the wearable in-shoe plantar pressure analysis subsystem comprises a pressure sensor module, a pressure integration module, an intelligent transmission module, a detection software module, a power supply module, an instantaneous pressure and balance detection module, a standing balance detection module, a balance and gait detection module and a cloud server; the three-dimensional gait analysis subsystem comprises a hardware unit and a software unit; according to the invention, a wearable plantar pressure and three-dimensional gait analysis collaborative system is constructed, bidirectional verification compensation is realized by means of data fusion of two subsystems, and traditional single-dimensional limitation is broken; pressure sensing and a double-view reconstruction technology are fused, data are dynamically captured, and bidirectional error correction is carried out; the limitation of traditional equipment is solved, the evaluation accuracy and robustness are improved, and a quantitative basis is provided for clinical diagnosis, rehabilitation and the like.