189 results about "Force transducer" patented technology

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 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 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 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 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 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 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 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.

The application discloses a kind of rock mass hydraulic fracturing test device and method based on flexible hydraulic pillow stress monitoring, comprising: the rock mass to be tested, is provided with the fracturing hole that penetrates normal direction on it;Hydraulic pillow, including flexible normal load loading hydraulic pillow, horizontal load loading hydraulic pillow and longitudinal load loading hydraulic pillow, through hole is arranged on normal load loading hydraulic pillow, water injection fracturing device, including high-pressure water pump, and the fracturing assembly of high-pressure water pump is connected by high-pressure pipeline, the fracturing assembly is set in the fracturing hole of the rock mass to be tested by through hole;Data acquisition system includes hydraulic pillow pressure sensor connected with hydraulic pillow, waterway pressure sensor being arranged on high-pressure pipeline and data acquisition terminal being electrically connected with hydraulic pressure sensor and waterway pressure sensor.The application can perfectly fit the surface of rock mass to realize flexible loading, the additional stress generated by sealing reinforcement measure is considered, and then the precision of triaxial loading is improved.

The present invention relates to a system and a related method for detecting and measuring mechanical deformation associated with a component (10, 20, 30, 400, 500) of a vehicle braking system, the mechanical deformation being caused by a force or torque generated during a braking event. The system comprises: at least one component of a vehicle braking system, the component comprising a body (1) made of a piece of material that is susceptible to deformation due to a reaction force applied to the component of the braking system during a braking event corresponding to a braking force and / or a braking torque, such that the component comprises a piece of material (PM) of said piece of material, the deformation of the material part locally represents the braking force and / or the braking force torque applied to the braking system; at least one deformation sensor and / or stress sensor (2, 2 '), which is applied to the deformable material part corresponding to the respective predetermined and fixed position, at least one deformation sensor and / or stress sensor is printed directly on the body of a component of the brake system by means of an aerosol jet printing method and is configured to detect a deformation and / or stress (DEF) locally acting in the respective position, and generating at least one corresponding electrical signal (S) representative of the detected deformation and / or stress; electronic interrogation and detection means (3) operatively associated with the at least one deformation sensor and / or stress sensor, such that deformation and / or stress can be detected and at least one electrical signal can be received by means of the at least one deformation sensor and / or stress sensor; an electronic data transmission / reception unit (4) connected to the electronic inquiry and detection means; the electronic data transmission / reception unit is configured to transmit at least one first signal (S1) representing the electrical signal, analog or digital; a remote control unit (5) located outside a component of the vehicle braking system and connected to the electronic data transmission / reception unit for receiving the at least one first signal; the remote control unit is configured to process the at least one first signal to obtain and provide a measurement of a deformation induced on a component of the brake system corresponding to a braking force and / or a braking torque.

The invention relates to a measurement and control device for a ship model wind power boosting model test, and the device comprises a testing device which comprises a fan unit which comprises a fan driving motor, fan blades which are driven by the fan driving motor to rotate, and a driver which is connected with the fan driving motor; the supporting piece is used for supporting the fan unit; the rotating platform, the supporting piece and the rotating connecting platform are fixed and can drive the supporting piece to rotate; the upper end of the force transducer is fixed with the mounting seat of the rotating platform; the lower end of the base is fixed with the ship, and the lower end of the force transducer is fixed with the upper end of the base; the measurement and control device further comprises a control cabinet which is connected with the driver of the fan unit and the rotation driving mechanism of the rotation platform. And the data collector is connected with the force transducer. According to the measurement and control device for the ship model wind power boosting model test, the defect that data in the state change process of the device cannot be tested due to the fact that the windward angle of an existing testing device is manually adjusted is overcome.

The invention relates to the technical field of power system automation, and particularly discloses a power network fault early warning method based on a large model, and the method comprises the steps: directly mapping the data of a high-frequency power sensor into a time sequence soft prompt vector which can be understood by the large model through a lightweight encoder and a linear projection technology; deep alignment of continuous signals and discrete semantics is realized, and information loss and efficiency bottleneck caused by numerical textualization are avoided. And then, directionally retrieving an operation and maintenance knowledge base by using the soft prompt vector, introducing a cross-modal affinity matrix to construct a semantic gating mechanism, dynamically screening and enhancing retrieved key knowledge fragments according to real-time waveform characteristics, and automatically inhibiting redundant text noise irrelevant to the current working condition. And finally, deep attention interaction and reasoning are performed on a composite sequence formed by an instruction, enhanced knowledge and soft prompt through a large model, a control signal containing fault classification and disposal suggestions is output, and real-time accurate early warning considering high-frequency signal sensitivity and expert knowledge logicality is realized.

A user force-application measurement system comprising: a base portion including: at least one cavity defining at least one surface; an upper portion including: at least one plunger assembly operably coupled to a rigid plate; and at least one force transducer. The at least one force transducer may be disposed between the at least one plunger assembly and the at least one surface of the at least one cavity when the at least one plunger assembly is received within the at least one cavity.

This application discloses a sensor assembly, including an insulating substrate comprising a first surface and a second surface disposed opposite to each other; a surface acoustic wave (SAW) pressure sensor disposed on the first surface, the SAW pressure sensor comprising a piezoelectric lithium niobate layer and two pairs of interdigital transducers disposed on the surface of the piezoelectric lithium niobate layer, the piezoelectric lithium niobate layer having a cavity and a corresponding thinned sensitive membrane region, the two pairs of interdigital transducers being disposed around the thinned sensitive membrane region in mutually perpendicular directions; and a platinum resistance temperature sensor and an interdigital capacitance humidity sensor disposed on the second surface. By having the SAW pressure sensor, platinum resistance temperature sensor, and interdigital capacitance humidity sensor disposed opposite to each other on the insulating substrate, combined with the cavity formed on the piezoelectric lithium niobate layer, and the two pairs of interdigital transducers disposed in mutually perpendicular directions, the detection accuracy is improved and crosstalk is reduced.

The application relates to the technical field of micro-electro-mechanical system sensors, in particular to a MEMS pressure sensor which comprises a shell, a sensing diaphragm and an ASIC signal processing unit, the shell is internally provided with a sensing installation cavity and a signal processing cavity, 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 buffer cavity is designed in a gradually expanding mode from bottom to top; pulse airflow first enters the detection channel through the air inlet to avoid direct and disordered airflow impact; then the airflow enters the buffer cavity, the gradually increasing cross-sectional area of the cavity body is utilized to gradually reduce airflow speed and pressure peak value, disperse pulse energy, convert the originally concentrated strong impact force into gentle pressure transmission, thereby reducing the abrasion and damage risk of the sensing diaphragm caused by frequently bearing intense pressure, helping to maintain the structural stability and sensing sensitivity of the sensing diaphragm, and guaranteeing the accuracy of the MEMS pressure sensor in pressure detection and the reliability of long-term work.

The invention discloses a digital parameter management and control system and a quality tracing method for a plate spring heat treatment process, and the system comprises a sensing layer which is provided with a plate spring station positioning sensor, a high-temperature-resistant temperature sensor, a high-temperature-resistant stress sensor and a medium atmosphere sensor, and the station positioning sensor is bound with the unique identification of the plate spring. The high-temperature-resistant temperature sensor for layered acquisition is arranged on the sensing layer, the surface layer, the core part and the secondary surface layer are arranged in combination with the acquisition frequency not lower than 10 Hz, temperature changes of different parts of the plate spring can be accurately captured, a multi-parameter coupling analysis model of the edge calculation layer is fused with a PID optimization algorithm and a material thermophysical property parameter library, and the temperature change of different parts of the plate spring can be accurately captured. Differentiation regulation and control instructions can be generated based on temperature, stress and medium atmosphere parameters collected in real time, the defects of uneven hardness, cracking and the like of the plate spring due to parameter fluctuation are effectively avoided, and the heat treatment quality stability is remarkably improved.

The invention discloses an intelligent bullet recording magazine terminal and an intelligent monitoring method for the residual amount of bullets in a magazine. The terminal comprises a shell, a thin film pressure sensor, a laser distance measuring sensor, a control chip, a positioning module and an output unit. The shell is connected with the bottom of the magazine; the film pressure sensor is used for detecting deformation pressure of a spring in the magazine; the laser ranging sensor is used for measuring the distance of a pressing block in the magazine; the control chip is used for judging the bullet allowance in the magazine according to the information detected by the sensor; and the output unit is used for outputting the state information in the magazine outwards. According to the invention, direct and multi-dimensional perception of the internal state of the magazine is realized, the structure is compact, installation is convenient, bullet allowance information can be output in real time, the real-time performance and accuracy of monitoring are significantly improved, and the magazine state and positioning information can be conveniently sent to a mobile terminal by using a remote data transmission technology so as to analyze historical time sequence data. And predictive maintenance and early warning implementation are realized.

The invention provides a ground simulation test device for a navigation body water outlet experiment, and belongs to the field of navigation body model water outlet experiments. The problems that underwater testing cost is high, parameters are difficult to obtain, the spraying angle is fixed, and various experimental data cannot be obtained are solved. The device comprises a shell, a gas generating device used for generating gas is arranged in the shell, and the gas generating device is provided with a second pressure sensor; the inlet end of the gas collection chamber is connected with the outlet end of the gas production device, an electromagnetic valve is arranged in the gas collection chamber, a plurality of exhaust ports are formed in the peripheral wall, and each exhaust port is connected with an exhaust pipe with an adjustable exhaust angle; the first pressure sensors are distributed at a plurality of exhaust ports of the gas collection chamber; the control system is connected with the gas production device, the first pressure sensor, the electromagnetic valve, the second pressure sensor and / or a power supply system, and the power supply system is used for supplying power to parts needing power supply. The device is mainly used for a navigation body ground simulation test.

This invention discloses an intelligent control method for automatic guiding, conveying, and stacking of container loading equipment, belonging to the field of automated transportation equipment technology. The method specifically includes the following steps: S1, System initialization and historical big data collection: Inputting container dimensions, cargo box dimensions, and preset parameters; collecting historical big data including AGV operation data, diversion control data, stacking and lifting data, and equipment status data; S2, Historical big data preprocessing: Preprocessing the historical big data by removing outliers, filling in missing values, deduplicating, and standardizing data. By combining dual-laser radar scanning with the "AGV alignment compensation coefficient" output by the intelligent model, the method improves the cargo box collision problem caused by large deviations in traditional mechanical positioning. It compensates for cargo box size fluctuations based on the "lifting height correction value," and combines pressure sensors to detect stacking uniformity, thereby reducing stacking errors, improving layer recognition accuracy, and avoiding the risk of cargo box tipping due to skewed stacking.