2804 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 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 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.

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 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 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.

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 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 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.

The utility model relates to an armored temperature and pressure integrated sensor, and the sensor comprises an armored housing which comprises a housing body and a sleeve connected with the housing body, and the sleeve is internally provided with a closed cavity; the circuit board is arranged in the armored shell; the temperature sensing element is mounted in the closed cavity; the support is arranged in the armored shell and comprises a support body, a metal terminal is arranged in the support body, one end of the metal terminal extends into the armored shell to be connected with the temperature sensing element, and the other end of the metal terminal extends out of the support body to be connected with the circuit board; and the pressure sensing element is mounted in the bracket and connected with the circuit board, and the pressure sensing element is used for detecting the pressure of an external pressure source. While temperature and pressure are measured synchronously, the excellent performance of the armored shell effectively protects internal elements from external physical impact, electromagnetic interference, severe temperature fluctuation and the like, it is ensured that the sensor can work stably and reliably in a complex environment and a complex medium, and the measurement precision is ensured.

The embodiment of the invention discloses a pressure touchpad and a pressure sensing detection method thereof, and relates to the technical field of touchpads, the pressure touchpad comprises a substrate layer, an FPC, a touch layer, a touch sensing layer and a piezoelectric layer; the touch layer is arranged above the touch control sensing layer; the touch sensing layer is arranged above the substrate layer; the piezoelectric layer is arranged below the substrate layer; the FPC is arranged on one side of the substrate layer, and the FPC is electrically connected with the touch net and the piezoelectric layer; wherein the piezoelectric layer vibrates under the excitation of an electric signal of the FPC; the piezoelectric layer receives external force above the piezoelectric layer to deform and generate an electric signal; and the touch sensing layer is used for sensing capacitance change to generate an electric signal. The pressure touch panel is simple in structure, the thickness is greatly reduced, and the cost is also reduced.

The invention provides a low-coupling flexible self-powered multi-mode sensor and a preparation method and application thereof, and belongs to the technical field of flexible electronic materials. Comprising a temperature sensing layer, a pressure sensing layer and a humidity sensing layer which are stacked in sequence. The temperature sensing layer is made of a PEDOT: PSS / MWCNT composite material and outputs a temperature response signal through resistance change; the pressure sensing layer is formed by combining a PDMS layer with a micro-nano structure and a PET layer, and outputs a pressure response voltage signal based on a triboelectric effect; the humidity sensing layer is composed of PVA / CA composite matrix and EGaIn liquid metal, and humidity response signals are output through hygroscopicity induced resistance change. The sensor realizes simultaneous detection of three physical quantities of temperature, pressure and humidity, has low coupling degree among the sensing units, and can be applied to the fields of robot interaction, wearable health monitoring and environment monitoring.

The invention discloses an intelligent bathroom falling early warning system based on an intelligent sensing system, and relates to the technical field of intelligent bathrooms, the system comprises an early warning management center, the early warning management center is in communication connection with the following modules: a multi-modal sensing module, which is used for collecting user behavior data in a bathroom environment through the intelligent sensing system, the intelligent sensing system comprises a millimeter wave radar, a distributed pressure sensing ground mat and an inertial measurement unit. Through multi-mode sensing fusion of the millimeter-wave radar, the distributed pressure sensing ground mat and the inertial measurement unit, a dead-corner-free environment monitoring network is constructed, user behavior data are captured from multiple dimensions of kinematics, dynamics and physiological features, and a falling recognition model optimized by a fruit fly algorithm is combined, so that the falling recognition accuracy is improved. Fall and daily actions similar to fall can be accurately distinguished, false alarm and missing alarm caused by limitation of a single sensor or unreasonable algorithm threshold are greatly reduced, and therefore high-reliability fall identification capacity is provided.

The invention relates to the technical field of medical ultrasonic imaging, and particularly discloses an ultrasonic probe pressure real-time feedback system fused with elastography. The system comprises an ultrasonic probe integrated with a multi-dimensional pressure sensing array, an elastic imaging processing module, a central processing unit and a multi-mode feedback module. The probe synchronously collects pressure and echo signals; the central processing unit executes a pressure-elasticity coupling analysis algorithm, dynamically evaluates a scanning state and generates a feedback signal; and the feedback module provides real-time guidance for the operator through the tactile, visual and auditory units. According to the invention, real-time and quantitative monitoring and intelligent feedback of the pressure of the ultrasonic probe are realized, the problem of large variability of an elastic measurement result caused by difference of operation techniques is effectively solved, and the standardization degree, the result accuracy and the clinical universality of examination are improved.

The invention relates to an intelligent eyelid fixing and tear flow guide composite device, which belongs to the technical field of medical instruments and comprises an arc-shaped main body frame, a multi-section pressure sensing fixing wing, a miniature liquid guide groove, a humidity compensation module and a central control unit. The multi-section pressure sensing fixed wing can be dynamically attached to the shape of an eyelid and is matched with the flexible contact layer to achieve biomechanical self-adaptive adjustment, and contact pressure is evenly dispersed. The miniature liquid guide groove serves as an efficient tear drainage path, and tears are rapidly discharged in combination with negative pressure suction. The humidity compensation module accurately covers the cornea surface through an annular atomization nozzle, and the ocular surface is kept moist. And the central control unit is used for monitoring in real time and adjusting fixed pressure, atomization intensity and negative pressure parameters in a linkage manner to form an intelligent feedback closed loop. The device solves the problems that a traditional rigid eye speculum is uneven in pressure distribution, low in tear management efficiency, poor in dissection adaptability and the like, the steady state maintaining effect of the ocular surface microenvironment in an ophthalmologic operation can be improved, and tissue damage and operation interruption are reduced.

The invention provides an intelligent detection method and system for an urban sewer pipeline, and the method comprises the steps: synchronously collecting pipeline data through laser, vision, ultrasound and a pressure sensing array, and generating aligned multi-source data through space-time registration; edge end defect preliminary screening is realized by using a lightweight AI model, and high-risk data is screened and uploaded to a cloud end; a pipeline digital twin model is constructed based on point cloud splicing and feature recognition, a multi-modal fusion neural network is adopted to realize accurate defect diagnosis, and a detection path is dynamically optimized in combination with an ant colony algorithm. According to the method, the technical problems that the adaptability is poor and the omission ratio is high in a complex sewer pipeline environment and multi-source data fusion analysis and active early warning cannot be realized by a traditional method can be solved.

The invention provides a device and method for measuring the flow velocity and flow of gas in a pipeline, and particularly relates to the technical field of measuring instruments, and the device comprises a flow field optimization assembly, a flow velocity sensing assembly and a signal processing assembly. The flow field optimization assembly comprises a plurality of air duct partition plates and straight pipe sections, and the gas conveying pipeline is divided into a plurality of independent divided air ducts; the flow velocity sensing assembly comprises a rectification assembly and a pressure sensing assembly, the rectification assembly comprises a pore plate and / or a grid, and the pressure sensing assembly comprises a plurality of uniformly distributed pressure sensing elements; the signal processing assembly comprises a differential pressure sensing transmitter, a static pressure sensing transmitter, a temperature sensing transmitter, an atmospheric pressure sensing transmitter and a data processing module. The pressure sensing element detects differential pressure signals, the differential pressure sensing transmitter converts the signals, the data processing module calculates the average flow velocity and flow of gas based on the signals and measurement data, and the measurement precision and accuracy are improved.

The invention discloses a badminton player action posture analysis system and method based on multi-sensor fusion, and relates to the technical field of athletic training auxiliary systems.The system comprises a wearable sensing subsystem, an environment sensing subsystem and a central processing and feedback subsystem; the wearable sensing subsystem is arranged on an inertia measurement unit and a pressure sensing insole of a body to collect movement inertia and plantar pressure data; the environment perception subsystem collects global videos through multiple cameras. The central processing and feedback subsystem performs synchronous processing on multi-source data, adopts a hierarchical fusion algorithm, restrains inertia integral drift by utilizing a plantar contact state, reconstructs a three-dimensional skeleton posture and a motion trail in combination with visual key points and skeleton restraint, drives a digital twin model, compares with a standard motion model, and performs three-dimensional motion control on the three-dimensional skeleton posture and the motion trail. Quantitative evaluation results such as joint angle deviation, time sequence difference and pressure center track are generated, and visual feedback is performed through a display device and an augmented reality terminal for badminton training evaluation and technical deviation correction.

The invention relates to the technical field of sensors, and particularly discloses a pressure, temperature and flow sensor probe which comprises a probe body and a detection piece, the detection piece comprises a pressure sensing unit, a temperature sensing unit and a flow sensing unit, one end of the probe body is fixedly connected with a display panel, and the outer surface of the probe body is sleeved with a support assembly. Impurities in fluid can be prevented from directly impacting the sensor probe through the protection assembly, meanwhile, the situation that the impurities are attached to the shielding rod and affect data monitoring is avoided, and therefore the accuracy of monitored data is improved; according to the invention, the sensor probe is arranged on the support assembly, the service life of the probe is prevented from being affected due to long-term large-amplitude vibration of the probe, an alarm can be given in time when the probe generates large-amplitude vibration, rapid maintenance by workers is facilitated, the sensor probe can be flexibly supported through the support assembly, and inclination of the sensor probe is avoided.

The invention relates to the technical field of wellhead protection, and particularly discloses an oil production wellhead pressure self-adaption protection device which comprises a protection shell, an indicator lamp is installed on the protection shell, the protection shell comprises a shell body, and a main pipeline is arranged on the inner side of the shell body. A partition cavity, a pressurizing groove and a pressure sensing groove are sequentially formed in the outer side of the main pipeline from top to bottom, the partition cavity is a multi-angle deep groove, a partition assembly is installed in the partition cavity, one end of the partition assembly is installed on a hydraulic input pipe, and the hydraulic input pipes are communicated through hydraulic oil communication holes; by arranging the partition assembly, when blowout occurs, a pressure sensor collects pressure information, an electric signal controls a hydraulic assembly to extend, the sharp ends of triangular fault blocks pierce the interior of a pipeline, multi-direction pressure synchronous operation is formed among the four triangular fault blocks, the pipeline is rapidly cut off, and the pipeline cannot transport oil again; and rapid and complete plugging in the pipeline is realized.

The invention relates to the technical field of intelligent old-age care and health monitoring. The invention provides a tumble detection and emergency response system for the elderly at home based on multi-modal sensing fusion, and the system comprises a sensing module which is used for collecting the multi-modal data of the elderly and at least comprises a depth camera array, an inertial measurement unit, a millimeter wave radar, an audio sensor array, and a pressure sensing pad; the decision-making module is used for receiving, synchronizing and processing the multi-modal data, comprises a dynamic confidence fusion engine and is used for calculating a dynamic confidence score for the data streams acquired by the sensing module in real time and carrying out information fusion through a collaborative game algorithm based on the dynamic confidence score of each data stream to obtain a multi-modal data fusion result; generating a fall detection decision with a situation tag; and the response module is used for executing grading emergency response operation and comprises a local alarm unit, a remote communication unit and an interface unit linked with a community service and emergency center.

The invention discloses a visual tactile sensor based on a magnetic imaging principle. The visual tactile sensor comprises a shell, an image acquisition module, a magnetic pole display film, an elastic body and a magnetic film, the magnetic pole display film, the elastic body and the magnetic thin film are arranged in the shell from top to bottom, and the image acquisition module is located above the magnetic pole display film and used for acquiring an image of the magnetic pole display film; when the sensor is used for pressure sensing, the position with the maximum gray level variation of the magnetic pole display film image is the pressure acting position, and the pressure is equal to the result that the gray level variation of the magnetic pole display film image is divided by the magneto-optical conversion coefficient of the magnetic pole display film and the product thereof. The magnetic induction intensity in the center range of the surface of the magnetic film, the initial distance between the magnetic film and the magnetic pole display film and the equivalent elastic coefficient of the magnetic film and the elastic body are related. The sensor converts a mechanical signal into a magnetic field signal and then converts the magnetic field signal into an optical image, high-sensitivity sensing of tiny pressure is achieved, and meanwhile the sensor has the higher signal-to-noise ratio, stability and anti-interference capacity.

The invention discloses an intelligent mine pressure sensing and safety early warning method for a coal mine fully-mechanized caving face, and relates to the technical field of mine safety monitoring and intelligent early warning, which comprises the following steps of: arranging mine pressure monitoring equipment on the coal mine fully-mechanized caving face, acquiring related data of mine pressure by adopting various sensing technologies, and carrying out standardization processing on each data source; and uniform data formats are ensured. Through multi-sensor combined monitoring and data processing, the accuracy and reliability of mine pressure monitoring are improved, and the influence of errors of a single sensor is avoided. And in combination with a deep learning model, the prediction capability of mine pressure abnormity is enhanced, risks can be identified in advance, early warning can be given out, and the probability of accidents is reduced. The integration of the safety early warning and the response mechanism ensures that multistage early warning can be quickly triggered when the mine pressure changes suddenly, provides a corresponding emergency scheme, timely deals with the mine safety risk, improves the safety management level of the mine, and guarantees the life safety of miners and the safety of mine facilities.

The invention discloses a flexible pressure sensor based on ionized hydrogel and a preparation method thereof. The sensor adopts a sandwich layered structure of a flexible composite electrode, an ionized water gel dielectric layer and a flexible composite electrode, ionized water gel is used as a dielectric layer, and an upper flexible electrode and a lower flexible electrode are prepared from a multi-walled carbon nanotube / polydimethylsiloxane (MWCNTs / PDMS) composite material; the surface, making contact with the dielectric layer, of the electrode is copied through an abrasive paper template method to form a micron-sized rough structure. Under the action of external pressure, the effective contact area between the microstructure electrode and the ionized water gel dielectric layer and the equivalent electrode distance change, so that the interface electric double-layer capacitance is regulated and controlled, and high-sensitivity conversion from a pressure signal to a capacitance signal is realized. The flexible pressure sensor is simple in structure and excellent in flexibility, can be further integrated into a pressure sensing array, and is suitable for the fields of wearable electronics, electronic skin, man-machine interaction and the like.

The invention discloses an analysis method of a cilia magnetic sensor, and relates to the technical field of sensors, and the analysis method comprises the following steps: carrying out a tensile experiment on cilia with different magnetic powder contents in a selected scene to obtain Young modulus of the cilia with different magnetic powder contents in the selected scene; obtaining the optimal magnetic powder content of the cilia in the selected scene based on the Young modulus of the cilia with different magnetic powder contents in the selected scene; the optimal cilium height, the optimal cilium diameter and the optimal cilium spacing of the cilium in the selected scene are obtained through finite element simulation analysis; performing a normal pressure sensing experiment on the cilia magnetic sensor in the selected scene, performing a sliding sensing experiment on the cilia magnetic sensor in the selected scene, and performing a non-contact sensing experiment on the cilia magnetic sensor in the selected scene; according to the invention, the design and application scenarios of the cilium magnetic sensor can be optimized.