272 results about "Force transducer" patented technology

The invention relates to the technical field of industrial automation control, in particular to a container liquid level measurement method, system and equipment of a pressure sensor and a medium, and provides a method for eliminating gas phase pressure influence based on a double-sensor differential measurement mechanism and dynamically correcting liquid density and sensor drift errors in combination with a temperature compensation model. The temperature data are linked in real time through a three-dimensional compensation function, density calculation and drift correction are synchronously adjusted, and multi-parameter dynamic decoupling and self-adaptive compensation are achieved; a collaborative measurement mechanism is adopted to integrate bottom and top sensor data, and a built-in temperature probe and a preset threshold are combined to complete multi-source signal fusion and compensation calculation; a dynamic calibration method is designed, and system errors are eliminated through reference pressure point calibration and structure coefficient correction; constructing a closed-loop signal processing flow, and integrating high-precision analog-to-digital conversion, digital filtering and real-time algorithm to output a compensated liquid level value; the method improves the measurement precision and stability, and is suitable for temperature change, gas phase pressure fluctuation and multi-medium scenes.

The invention provides a multichannel gas ultrasonic flowmeter, which relates to the technical field of flow measurement and comprises a hardware layer and a software layer, the hardware layer comprises a pipeline, a connecting mechanism, a multichannel ultrasonic transducer, a pressure sensor, a temperature sensor, a wiring terminal box and a control box with an LCD display screen; the software layer comprises a data acquisition module, a preprocessing module, a multichannel speed measurement module, a data fusion module, a dynamic parameter compensation module, a flow calculation module, a man-machine interaction module, a communication module and a storage module. Pipeline section flow velocity information is collected through a multichannel ultrasonic transducer array, and a complex flow state is fitted in combination with a weighted fusion algorithm; the flow is dynamically compensated and corrected based on pressure and temperature; reliable operation of the system is guaranteed by means of hardware redundancy and a software verification diagnosis mechanism, the problems that a traditional flowmeter is low in measurement precision and poor in working condition adaptability are solved, and high-precision and stable gas flow measurement is achieved.

The invention relates to the technical field of water supply pipeline detection, and discloses an underground water supply pipeline health grade evaluation and risk prediction method, which comprises the following steps: sensor arrangement: arranging a flow sensor, a pressure sensor and a sonic sensor at key positions of an underground water supply pipeline; and data acquisition: acquiring signals of the sensor in real time through a data acquisition module, wherein the signals comprise flow, pressure and sound wave signals. Preprocessing the data: carrying out preprocessing such as denoising and normalization on the collected signals; and multi-source data fusion: inputting flow, pressure and sound wave signals into a deep neural network model, and performing feature extraction and fusion analysis. And health level assessment: assessing the health level of the pipeline based on the output result of the deep neural network model. And risk prediction: predicting abnormal working conditions possibly occurring in the future and risk levels of the abnormal working conditions by analyzing the current pipeline state and historical data. And abnormal positioning: accurately positioning an abnormal position in combination with the propagation time of the sensor signal and a positioning model of the deep neural network.

The invention discloses a satellite antenna dynamic pointing calibration method and system based on satellite autonomous gradient optimization, relates to the technical field of satellite communication, and realizes closed-loop calibration without ground intervention by processing signal to noise ratio (SNR) data uploaded by a ground station on a satellite in real time and combining a multi-physical field coupling model of a temperature and stress sensor. And the pointing error in a dynamic environment is reduced from more than 2.0 degrees of a traditional scheme to less than 0.3 degrees.

The invention discloses a self-adaptive settlement monitoring and compensation construction integrated system, and belongs to the technical field of foundation settlement monitoring and compensation integration. The system comprises a monitoring module, an intelligent control module, a compensation construction module and a digital twinning module. The monitoring module comprises a settlement sensor group, a stress sensor, a three-dimensional displacement sensor and a micro geological radar which are arranged according to a bionic root topology; the micro geological radar realizes layered scanning in an underground range by adopting a multi-band synthetic hole technology; the intelligent control module comprises an integrated settlement prediction algorithm, a multi-stage early warning unit and a seepage-stress coupling analysis model. The output end of the seepage-stress coupling analysis model and the compensation construction module form closed-loop control. The drainage efficiency is remarkably improved through intelligent association of the flow guide pipe and the pore water pressure, the digital twin module constructs a multi-source data interaction platform, dynamic mapping of a physical entity and a virtual model is achieved, the settlement control precision can be improved, and meanwhile the construction cost is reduced.

The invention provides a novel multi-source information and damage coupled coal mine rock burst prediction method. The method comprises the following steps that rock mass fracture signals, a three-dimensional stress field and acoustic emission parameters are collected in real time through a micro-seismic monitoring array, an optical fiber stress sensor and a rock sound probe; an LSTM-attention fusion module is adopted to carry out spatio-temporal feature extraction on the collected multi-source data, an attention weight coefficient is generated, and a weighted fusion feature vector is output; calculating the rock mass damage degree based on a statistical damage mechanics Weibull distribution theory; based on the law of conservation of energy and the damage mechanics theory, a dynamic energy threshold function is constructed, the mining time effect and the rock mass damage state are incorporated into a quantitative evaluation system, and a dynamic energy accumulation rate threshold function is established by introducing a time accumulation effect and a damage coupling term; when the real-time energy accumulation rate is larger than or equal to the energy accumulation rate threshold value and the time derivative of the energy accumulation rate is larger than the sudden change threshold value, third-level early warning is triggered. According to the invention, advanced accurate early warning of the rock burst can be realized.

The invention provides a self-adaptive fitting method and system for a substrate deformation measurement system based on a fiber bragg grating (FBG), and the method comprises the steps: reading an output signal of an FBG sensor network, respectively collecting the wavelength data of a grating sensor and the stress data of a stress sensor at the same position as the grating sensor, and constructing a stress-wavelength data set; fBG data points with most sensitive deformation response are automatically identified, and a dynamic sensitive point set is formed and then preprocessed; a set needing to be continuously monitored is analyzed and determined, a specific point is selected to execute an adaptive segmentation fitting algorithm, segmentation points and fitting polynomial coefficients of all subintervals are output, and a final fitting model is constructed; according to the sub-interval of the wavelength value measured by the FBG sensor, calling a sub-interval fitting model, calculating a corresponding stress value, and further obtaining the deformation quantity of the measured object. According to the invention, the contradiction between the monitoring efficiency and precision of the traditional uniform layout in a complex stress scene is solved, and the technical path and the application target have remarkable industry uniqueness.

The invention relates to the field of air tightness testers, and discloses an automatic data calibration method and system for an air tightness tester, and the method comprises the steps: obtaining a temperature sensor value T, a pressure sensor value P and a humidity sensor value H from the air tightness tester; performing three-dimensional coordinate positioning in the three-dimensional coordinate space to obtain a coordinate position C1; mapping the coordinate position C1 to a distribution model for coordinate mapping by using a coordinate transformation matrix M; obtaining a compensation parameter set S1 based on the error characteristic value E and the compensation parameter combination S; adjusting the compensation weight of each environment parameter according to the compensation parameter set S1; fusing the adjusted compensation weight with the error characteristic value E and the compensation parameter combination S to obtain a comprehensive compensation coefficient Kc; and performing correction processing on the original measurement data by using the comprehensive compensation coefficient Kc. The method has the advantages that automatic extraction and dynamic adjustment of calibration parameters are achieved when the test environment changes.

The invention relates to the technical field of flexible electronic sensing, and particularly discloses a composite fiber membrane-based capacitive flexible pressure sensor integrated system and a preparation method thereof. The sensor is composed of a composite fiber membrane sensitive layer, an interlayer type electrode structure, a multi-channel signal acquisition module and an intelligent data processing system. Wherein the composite fiber membrane is prepared through an electrostatic spinning technology, polyvinylidene fluoride serves as a matrix, ionic liquid with the mass ratio of 40%-70% is evenly dispersed, a three-dimensional porous structure is formed, and a pressure signal is converted into capacitance change through the double-electric-layer capacitance effect; the signal acquisition module adopts a high-precision capacitance digital converter to cooperatively work with a microcontroller, 9-channel parallel data acquisition is realized, the resolution reaches 6aF, and data is transmitted through an anti-interference bus protocol; and the data processing system dynamically analyzes the pressure-capacitance relationship based on an exponential function model, suppresses noise to be below 0.1 aF RMS in combination with a filtering algorithm, and synchronously generates a visual pressure distribution map.

The invention relates to the technical field of wireless communication equipment, and discloses a self-adaptive dynamic adjustment slope stress monitoring device which comprises an anchor rod, a connecting sleeve, a pedestal, three stress sensors and three anchoring pipes, and the three stress sensors and the three anchoring pipes are sequentially connected. The anchoring pipe is provided with two-way prefabricated tongue plates with opposite openings and matched with boss nuts with opposite threads, a pedestal comprises a pressure release type supporting air cylinder and a sealing ring, when the device is used, the device is inserted into a drilled hole, an anchor rod is rotated to enable the prefabricated tongue plates to be clamped with a rock stratum, and grouting solidification is conducted through the anchor rod; the stress sensor monitors stress changes caused by rock stratum cracks in real time so as to accurately position the cracks, pressure is released for dynamic adjustment when the stress borne by the air cylinder exceeds a threshold value, the device can prevent the stress sensor from being interfered, overload damage is prevented, monitoring accuracy and self-adaptive protection are both considered, the slope monitoring reliability is greatly improved, and the service life of equipment is greatly prolonged.

The invention relates to the technical field of digital information transmission, in particular to an intelligent force transducer data remote transmission method and system based on the Internet of Things, and the method comprises the steps: obtaining the measurement data of a plurality of force transducers, calculating a multi-dimensional rate vector, and obtaining a multi-dimensional rate vector based on the multi-dimensional rate vector in a historical time window; calculating a differential entropy to determine an instantaneous fluctuation index, determining a predictive risk gradient in combination with the historical trend of the instantaneous fluctuation index, evaluating the effective throughput of the data transmission network online, and coupling the predictive risk gradient to determine a risk-aware transmission cost factor, fusing the predictive risk gradient with the transmission cost factor, and determining the risk-aware transmission cost factor. And jointly determining a dynamic transmission strategy level, and executing hierarchical adaptive data transmission operation according to the dynamic transmission strategy level. According to the method, intelligent balance of transmission efficiency and data reliability is realized.

The utility model discloses a recoverable impact type sounding system device, and belongs to the technical field of geological exploration equipment. The device is composed of a take-up and pay-off winch, a guide pulley, an ejection device, an impact sounding probe and a measurement and control cable. A winch is automatically controlled through a winch control unit, the take-up and pay-off speed is fed back and adjusted through a tension sensor, and dual-mode control is adopted for different operation water depths of 0-5 m and 5-50 m. The ejection device energizes the probe through the energy storage spring, and the locking mechanism achieves automatic locking and releasing. The impact sounding probe adopts a standard structure and is provided with various sensors, so that data can be stably acquired and wirelessly transmitted. The device can accurately control probe putting, is suitable for operation at different water depths, has good recoverability, effectively overcomes the defects of traditional sounding equipment, and improves the efficiency of geological exploration and the accuracy of data.

The invention relates to the technical field of micro-electro-mechanical system sensors, in particular to an MEMS pressure sensor which comprises a shell, an induction diaphragm and an ASIC signal processing unit, an induction mounting cavity and a signal processing cavity are formed in the shell, an air inlet is formed in the lower end face of the shell, a detection channel and a buffer cavity are formed in the shell, and the detection channel is communicated with the signal processing cavity. The buffer cavity is designed to be gradually expanded from bottom to top; pulse airflow firstly enters the detection channel through the air inlet, and direct disordered impact of the airflow is avoided; then the airflow enters the buffer cavity, the airflow speed and the pressure peak value are gradually reduced and the pulse energy is dispersed by utilizing the characteristic that the cross sectional area of the cavity is gradually increased, and the originally concentrated strong impact force is converted into gentle pressure transmission, so that the abrasion and damage risks caused by the fact that the sensing diaphragm frequently bears the violent pressure are reduced; the structure stability and the sensing sensitivity of the sensing diaphragm can be maintained, and the accuracy of pressure detection and the reliability of long-term work of the MEMS pressure sensor can be guaranteed.

The application relates to the technical field of power fault positioning, and discloses a power fault area positioning precision identification method based on Beidou technology, which comprises the following steps: collecting power grid line data, filling in missing values according to contexts, and constructing a target area power network topology; constructing a regional convergence access equipment deployment optimization objective function and solving the function to obtain an optimal access equipment deployment position scheme and deploy the scheme; converging target area power sensor data by using the deployed access equipment, constructing a power fault identification model, and identifying and positioning power faults of the target area converged power sensor data. The application carries out information fusion based on the position information of adjacent power sensors and the time sequence information of power sensor data, obtains a feature vector representing the abnormal state of the power sensor data, identifies power faults of the power sensor data, and positions the power faults according to the transmission direction of the power sensor data by the access equipment.

The invention discloses a rubber O-shaped ring compression stress relaxation test device which comprises an O-shaped ring mounting base, four circles of annular grooves are sequentially formed in the center of the O-shaped ring mounting base from outside to inside, a rubber O-shaped ring is arranged in the fourth circle of annular groove, a gasket is arranged above the rubber O-shaped ring, a force measuring sensor is arranged on the gasket, and the force measuring sensor is connected with the O-shaped ring mounting base. The force measuring sensor is tightly connected with the O-shaped ring mounting base through a fixing piece and a plurality of counterbores; the force measurement sensor is in wireless or wired connection with the data acquisition system; two flow guide holes and a temperature measuring hole are formed in the groove bottom of the second ring of annular groove, a temperature measuring sensor is inserted into the temperature measuring hole, the head of the temperature measuring sensor penetrates into the second ring of annular groove, and the tail of the temperature measuring sensor is connected with a thermodetector through a temperature measuring data connecting line; the oil temperature machine is communicated with the two flow guide holes through an oil conveying pipeline, and an oil pump is arranged on the oil conveying pipeline. The environment temperature of the rubber O-shaped ring can be controlled, and the actual working condition of the rubber O-shaped ring in lubricating oil can be simulated.

The invention relates to the technical field of electronics, and discloses a wading dangerous rock mass early warning method, device and equipment based on multi-source stress fusion, a wading dangerous rock mass comprises a tensile stress concentration area and a compression-shear sensitive area, and the tensile stress concentration area and the compression-shear sensitive area are determined by conducting finite element stress simulation on a three-dimensional geologic model of the wading dangerous rock mass. A tension fracture stress sensor is arranged in the tension stress concentration area, a compression-shear stress sensor is arranged in the compression-shear sensitive area, and a microseismic acoustic emission sensor is arranged in a preset area of a main control structural plane in the wading dangerous rock body. The method comprises the following steps: acquiring first stress data acquired by a tension fracture stress sensor, second stress data acquired by a compression-shear stress sensor and acoustic emission energy data acquired by a microseismic acoustic emission sensor; performing data fusion processing on the first stress data, the second stress data and the acoustic emission energy data to obtain an early warning coefficient value; and early warning is performed on the wading dangerous rock mass based on the early warning coefficient value, so that the early warning precision is effectively improved.

The invention discloses a piezoelectric driving micro-nano scratching instrument, and belongs to the technical field of material mechanical property detection. The scratch tester comprises a piezoelectric driving system, a multi-mode detection system and a control and data processing system. The core is that the piezoelectric driving system is completely driven by piezoelectric elements, and a displacement table adopts a clamping type stepping mechanism based on a flexible hinge, so that the combination of nanoscale motion precision and large stroke is realized; the multi-mode detection system innovatively integrates an electrical impedance detection loop composed of a conductive pressure head and a sample, can sensitively capture microscopic damage and failure behaviors of a material in the scratching process, and carries out synchronous fusion analysis with signals of a force sensor and a displacement sensor. According to the invention, the defects of insufficient precision and single detection means of the traditional scratch tester are overcome, and the accuracy and reliability of detecting the interface bonding strength and other mechanical properties of materials such as films and coatings are remarkably improved.

The present invention belongs to the technical field of flutter tests for rotorcrafts, and discloses a ground whirl flutter test system and test method for a rotorcraft. The ground whirl flutter test system for the rotorcraft comprises a hardware part and a software part. The hardware part comprises a rotor test article, a support system, force loading devices, vibration signal sensors, load cells, vibration signal acquisition cards, an industrial control computer, force signal output cards, a power amplifier and load cell signal acquisition cards. The software part of the ground whirl flutter test system for the rotorcraft comprises a rotor force and moment calculation program and a multi-input multi-output force control program running on the industrial control computer. The method can reserve all dynamic characteristics of the aircraft structure, is not restricted by the size of a wind tunnel test chamber section, does not require dynamic scaling of aircraft structures.

The invention provides a rock mass section area measuring device in a point load test, and relates to the technical field of geotechnical engineering and engineering geology. Comprising an external model framework, a profiling support mechanism, a pressure sensing positioning unit and a data acquisition and analysis system, the profiling supporting mechanism and the pressure sensing positioning unit are fixed in the integral external frame; the profiling supporting mechanism is clamped on the upper portion in a frame through the difference of the inner diameter and the outer diameter of the external model frame to form mechanical interlocking, and the lower portion of the profiling supporting mechanism is arranged above the pressure sensing positioning unit through a reserved positioning hole. The pressure sensing and positioning unit is a distributed array pressure sensor combination, and the data acquisition and analysis system is connected with the pressure sensing and positioning unit to reflect monitoring data. Pressure distribution data of a rock contact area are collected in real time through the pressure sensing and positioning unit, and the data collection and analysis system is combined with signal processing, shape recognition and 3D modeling technologies to achieve rock shape analysis and visual visualization and calculate the sectional area of the rock contact area in real time.

The invention belongs to the field of ocean instrument metering calibration, and particularly relates to a temperature compensation type ocean pressure sensor calibration device and method, and the device comprises a standard constant temperature system, a standard constant pressure system, a data collection system, and a data processing unit. The standard constant temperature system is used for providing a controllable and monitorable constant temperature environment for the calibrated sensor; the standard constant pressure system is used for providing a controllable standard pressure source; the data acquisition system synchronously acquires temperature, standard pressure and sensor output signals; and the data processing unit establishes a temperature-pressure mathematical relationship model based on the acquired data and generates temperature compensation correction parameters. According to the calibration method, a plurality of standard pressures are applied at different temperature points, synchronous data are acquired, and a temperature compensation function is obtained through fitting by using a least square method, so that high-precision compensation of the ocean pressure sensor in a wide temperature gradient environment is realized. The measurement precision of the ocean pressure sensor in the temperature range is effectively improved, and the method is suitable for high-precision scenes such as ocean hydrological observation.

The invention discloses a low-temperature liquid storage tank pressure prediction method based on a non-thermal equilibrium state model, and aims to improve the calculation speed of a pressure evolution law so as to reduce the time required for predicting the pressure of a storage tank. The method comprises the steps that firstly, a pressure sensor, a temperature sensor and a liquid level meter are used for collecting the temperature of a current gas phase and liquid phase area of the low-temperature liquid storage tank, the pressure in the storage tank, the vacuum degree of a heat insulation layer and the real-time liquid level; secondly, transmitting signal data obtained by monitoring of the sensor to a processor, and checking the density, phase change latent heat and thermodynamic energy of gas and liquid phases in the storage tank through REFPROP software; then establishing a three-dimensional model and a heat and mass transfer relationship of the storage tank, and performing heat transfer analysis on gas-phase and liquid-phase media in the storage tank; secondly, performing energy analysis on a gas phase region, a liquid phase region and a gas-liquid interface in the storage tank according to the established three-dimensional model and a heat transfer analysis result, and selecting a proper time step to perform iterative calculation so as to ensure the calculation precision of each step; storing the calculation result of the previous step, and searching and taking thermodynamic parameters of the next time step through REFPROP software according to the parameters obtained through calculation; finally, the safe storage time of the storage tank under the current liquid filling volume and the heat insulation performance is calculated, and safe work of the storage tank is guaranteed.

The invention provides a crossing sluice intelligent regulation and control method and system based on multi-sensor data fusion, and the method comprises the steps: obtaining multi-source synchronous data collected by a water level sensor, a flow sensor and a structural stress sensor; evaluating whether a gate overload risk exists in the current working condition according to the multi-source synchronous data; when the overload risk exists, the dynamic model is used for obtaining the target gate opening degree; the gate opening degree is regulated and controlled according to the target gate opening degree; and the regulated gate opening degree is obtained to optimize the dynamic model. Through multi-source sensor data fusion and dynamic model prediction control, real-time early warning and self-adaptive regulation and control of the gate overload risk are realized, a closed-loop optimization system is formed, and compared with a traditional method, the control precision is remarkably improved.

The invention relates to the technical field of pronunciation control, and provides a non-contact Hall drumhead vibration sensing and intelligent pronunciation control method and system, and the method comprises the steps: collecting an original Hall sensing electric signal generated when a user knocks a drumhead through a Hall sensor array in a drumhead, carrying out the signal preprocessing of the original Hall sensing electric signal, and obtaining a pre-processed signal; a standard Hall sensing electric signal is obtained, physical characteristic parameters are extracted, and a first tympanic membrane tension parameter, a damping coefficient and a striking position are obtained; obtaining an initial tympanic membrane tension parameter through a tympanic membrane stress sensor, carrying out the comparative analysis of the first tympanic membrane tension parameter and the initial tympanic membrane tension parameter, obtaining a tension decay value, and obtaining a pitch parameter based on a pre-constructed tension decay value-pitch mapping relation. According to the invention, through signal preprocessing and physical characteristic parameter extraction, key quantities reflecting the physical state of the tympanic membrane, such as a tympanic membrane tension parameter, a damping coefficient and a striking position, are systematically extracted, and a real and accurate physical basis is provided for sound generation.

The invention relates to the technical field of aircraft dynamic model testing, and discloses a method for testing lift force and resistance of an aircraft with a power system through a dynamic model test, which comprises the following steps: step 1, mounting an acceleration sensor and a corresponding data acquisition module on a rail car in a fastening manner, and recording acceleration data of the rail car; secondly, a support is fastened and installed on the rail car, and an aircraft with a power system is installed on the support; step 3, installing a two-dimensional force transducer; 4, debugging and starting a power system; and step 5, data processing: through the obtained acceleration data and the lift force data and resistance data of each fulcrum, the speed, lift force and resistance corresponding to each moment are obtained through data processing. According to the invention, the lift force and resistance of the aircraft can be simply, efficiently and accurately tested.

The application provides a stress detection system and method based on active and passive dual modes, and relates to the technical field of stress detection.The system comprises a stress sensor and a data processing module in communication connection.The stress sensor comprises a first coil assembly, a second coil assembly and a three-axis magnetic sensor.The first coil assembly is configured to apply a square wave current to the first coil assembly by an excitation source to generate an ACSM effect.The data processing module is configured to collect a voltage signal and a phase signal of the second coil assembly under the ACSM effect, collect a magnetic field signal of the three-axis magnetic sensor, perform feature extraction on the voltage signal, the phase signal and the magnetic field signal to obtain feature data, and input the feature data into a joint feature decoupling mathematical model to determine a pipeline stress value of a to-be-detected pipeline, so as to solve the problems that the current stress sensor has a large error when detecting in a low stress area, and the detection result has low accuracy due to environmental magnetic field interference.

The invention relates to a whole vehicle six-component test method, which comprises the following steps: determining an adaptive six-component sensor configuration unit according to the wheel size of a test vehicle; installing the six-component sensor configuration unit on the test vehicle, and connecting the six-component sensor configuration unit with the test equipment; generating a wheel channel oscillogram based on preset wheel six-component parameters; under the test working condition, generating a wheel fault oscillogram based on the six-component data and the wheel channel oscillogram collected by the test equipment; judging whether the wheel fault oscillogram is normal or not; if yes, ending the test and storing six-component test data; otherwise, checking abnormal reasons. The corresponding six-component sensor configuration unit is determined according to the wheel size requirement of the test vehicle, the wheel fault oscillogram is generated, traditional troubleshooting depending on experience is converted into accurate diagnosis driven by data, data deviation caused by manual operation errors and equipment differences is reduced, and the accuracy of six-component measurement is improved.

The invention discloses a device for ground testing of a satellite two-dimensional radar mechanism. The device comprises a housing frame; a first driving motor and a second driving motor; a first speed reducer and a second speed reducer; the spherical parallel mechanism comprises a first transmission assembly, a second transmission assembly and a movable platform, the first transmission assembly is connected with the first speed reducer and the movable platform, and the second transmission assembly is connected with the second speed reducer and the movable platform; the two ends of the first pressure sensor and the second pressure sensor are connected with the movable platform and the output support respectively, and the first pressure sensor and the second pressure sensor are perpendicular to each other in the normal direction on the mounting surface of the movable platform; the information processor is connected with the first pressure sensor, the second pressure sensor, the first driving motor and the second driving motor; the radar mechanism driver is connected with the information processor and the radar mechanism; and the upper computer is connected with the radar mechanism driver and the information processor. The synchronous force increasing device has the advantage that synchronous force increasing of the radar mechanism can be achieved.

The present application relates to the technical field of soft coal seam drilling, and discloses an intelligent control drill rod and blowout hole device for soft coal seam drilling, which comprises a front-end sensing unit, a relay sensing unit, a hydraulic servo motor, a frequency converter, a shape memory alloy framework, a thermal-responsive polymer expansion gel layer and a control unit. The device can expand to 3 times the original diameter within 2 seconds through thermal triggering, forming a multi-stage labyrinth seal. The control unit is installed with an embedded AI chip to run an LSTM pressure time sequence prediction model, and combines temperature and vibration multi-source data fusion to judge the blowout risk level, solving the problems of lack of real-time gas pressure dynamic monitoring capability of traditional drill rods, reliance on artificial experience to judge blowout risk, and response lag. The single position pressure sensor is easily disturbed by local rock layer mutation, has a high false alarm rate, and cannot distinguish between normal pressure fluctuations and blowout precursors, so the device realizes early blowout warning and actively suppresses blowout accidents.

This invention relates to a dynamic feedback system for tunnels in earthquake-prone areas based on real-time monitoring. The system includes a monitoring module, a data processing module, a feedback module, and an execution module, designed to collect data on surrounding rock deformation, crown settlement, and seismic vibration during tunnel construction in real time. The monitoring module acquires data using devices such as stress sensors, accelerometers, and displacement gauges, and transmits the data to the data processing module via a wireless communication module. The data processing module predicts the stability of the surrounding rock and generates optimized support suggestions. The feedback module generates optimized support schemes based on the analysis results. The execution module implements the optimized schemes in on-site construction and dynamically adjusts support measures using automated equipment. Through real-time monitoring and dynamic feedback mechanisms, this system effectively improves the safety, stability, and emergency response capabilities of tunnel construction, and is particularly suitable for tunnel construction under earthquake-prone and complex geological conditions, showing broad application prospects.

This application discloses a multimodal microwave sensor and a multi-parameter decoupling measurement method. The sensor includes a first metal layer, a dielectric layer, a second metal layer, and a transmission unit. The first metal layer is provided with a first microstrip line feed line, a second microstrip line feed line, and a three-mode resonant coupling structure. By setting the transmission unit to connect with a single-end fixed beam, the non-uniform elastic deformation of the single-end fixed beam under pressure causes synchronous asymmetric coupling changes in the three-mode resonant coupling structure. This simultaneously excites two sensing parameters, namely the change in resonant frequency difference and the change in transmission amplitude, to respond independently. Dual-parameter fusion sensing can be achieved without additional circuitry, effectively suppressing temperature drift and environmental electromagnetic interference, improving the anti-interference capability and measurement reliability of the entire microwave pressure sensor, and enhancing the pressure measurement accuracy and the stability of the device.