2795 results about "Pressure sensor" 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 discloses a device judging whether or not an earth pressure balance shield earth chamber is full. The device comprises a pressure detector disposed on the upper portion of a front shield earth chamber of the earth pressure balance shield; the signal output end of a pressure sensor is connected with an upper computer; the upper computer judges whether or not the chamber is full; if not, a warning signal is sent to an alarm unit. The device has the advantages that whether or not the earth chamber is full can be judged anytime during earth pressure balance shield tunneling, full-chamber shield tunneling can be ensured and the application of full-chamber tunneling decreases the danger of collapse ahead.

The invention discloses a temperature compensation method and system, and the method comprises the steps: receiving a valve block temperature signal collected by a temperature sensor integrated with a pressure sensor in a closed gas supply unit, and an electronic element temperature and environment temperature signal collected by a temperature sensor on a control unit PCB, generating an initial temperature-working condition data set by combining the power of the air pump and the working duration of the electromagnetic valve; performing thermal resistance network modeling on the initial temperature-working condition data set, constructing a multi-node thermal characteristic matrix, and decomposing the matrix into a plurality of sub-matrixes; performing real-time operation on the sub-matrix by using a dynamic heat balance algorithm to generate a temperature estimation result of the key component; and generating a temperature compensation control instruction according to the temperature estimation result of the key component. According to the embodiment of the invention, the temperature of the key component can be accurately estimated, dynamic compensation is realized, and the control precision and stability of the closed gas supply unit are improved.

The invention discloses a gas pipeline operation risk dynamic evaluation system based on big data analysis, and relates to the technical field of gas pipeline safety monitoring, and the system comprises a multi-source data processing module, a feature extraction module, a local risk modeling module, a risk evolution prediction module and a dynamic early warning module. The multi-source data processing module is used for acquiring original multi-source time sequence data from a pressure sensor, a flow sensor, a temperature sensor, a geological monitoring device and a third-party construction disturbance data interface of a gas pipeline network, and performing time alignment, abnormity elimination, normalization and characteristic standardization processing on the data; a uniform input feature vector is formed; and the feature extraction module is used for decomposing the normalized time series data into a low-frequency trend component and a high-frequency residual signal by using discrete wavelet decomposition. The gas pipeline risk assessment system solves the problems of low gas pipeline risk assessment precision, insufficient risk propagation modeling and lack of dynamic early warning and emergency strategies in the prior art.

The invention relates to the technical field of wind tunnel tests, in particular to a large-scale model wind tunnel test device and a debugging method thereof. The scale model wind tunnel test device comprises a supporting device which comprises an upper supporting truss, a lower supporting truss and a plurality of supporting stand columns, the upper supporting truss and the lower supporting truss are composed of main beams and anchoring structures, the supporting stand columns are connected with the upper supporting truss and the lower supporting truss, and sliding rails are symmetrically arranged on the upper supporting truss and the lower supporting truss. The large-scale model is connected between the two sliding rails through a line spacing adjusting device and an inclination angle adjusting device, large-scale model assemblies are fixed to the upper end and the lower end of the large-scale model through detachable force transmission plates, and the force transmission plates are connected with a force measuring balance; the large-scale model is provided with a pressure measuring hole, and the scale ratio of the large-scale model is greater than 1: 20; a wind pressure sensor is arranged in the data acquisition device, the data acquisition device is connected with the pressure measuring hole of the large-scale model through a pressure measuring pipe, and wind pressure is transmitted to the wind pressure sensor of the data acquisition device through the pressure measuring pipe. The large-scale model wind tunnel test device and the debugging method thereof are convenient and fast to install and flexible to adjust.

The invention discloses a fire-fighting pipe network pressure dynamic monitoring method and system combined with the Internet of Things and a medium, and relates to the technical field related to pressure monitoring, and the method comprises the steps: deploying a pressure sensor and an auxiliary sensor at a fire-fighting pipe network monitoring node, and building a topology sensing structure through wireless Internet of Things communication; carrying out adaptive sampling adjustment and then establishing a node sampling data set; transmitting the data to a multi-time window pressure evolution model to execute sliding differential analysis, and calculating an abnormal trend index; configuring a neighborhood broadcast request and performing broadcast consistency verification; abnormal trend index enhancement correction is carried out, and group resonance detection is carried out to establish linkage cooperative early warning; and a fire-fighting pipe network pressure abnormity early warning signal is reported. The technical problems that in the prior art, dynamic abnormal data of the fire-fighting pipe network are difficult to sense in real time, cooperation is lacked, response lags, and pressure monitoring accuracy and reliability are poor are solved, and the technical effects that real-time and accurate dynamic monitoring is achieved, and the pressure monitoring accuracy and reliability of the fire-fighting pipe network are improved are achieved.

The invention provides an optimization method of a magnesium slag sensible heat recovery system, which comprises the following steps: acquiring particle size distribution data of magnesium slag particles, and judging whether the problem of non-uniform particle size distribution exists or not according to a preset particle size threshold value; aiming at the problem of non-uniform particle size distribution, magnesium slag particles are classified by adopting a clustering algorithm, and the distribution areas of large particles and small particles are determined; according to the distribution area of the large particles, the rotating speed of the cooling roller is dynamically adjusted, and the accumulation probability of the large particles in the roller is reduced; the temperature change trend of the inner wall of the cooling roller is monitored in real time, and if it is detected that the local temperature abnormally rises, it is judged that local hot spots exist; when a local hot spot is detected, a spraying cooling system in the roller is started, and intensified cooling is conducted on a local area; pressure and temperature data of high-pressure and high-temperature water are collected in real time through a pressure sensor and a temperature sensor, and whether fluctuation exists or not is judged.

The invention discloses an aero-engine compressor outlet static pressure sensor fault diagnosis method, which comprises the steps of constructing an aero-engine general model, correcting parameters in the aero-engine general model according to test run data of an aero-engine, and obtaining a special model of an engine of a specified model; according to the special model, calculating a residual value of a gas compressor outlet pressure measured value and a gas compressor outlet pressure simulation value of the engine of the specified model; according to the technical requirements of the engine of the specified model, a residual error threshold value of the outlet pressure of a gas compressor is set; and when the absolute value of the residual error value is greater than the residual error threshold value, diagnosing that the static pressure sensor at the outlet of the gas compressor is faulty, and triggering an alarm signal. According to the method, a special model is constructed through an engine mechanism, diagnosis is performed in combination with actually measured data, the model precision is improved, rapid identification of early faults is realized, dynamic changes of the engine under different working conditions are adapted, and the robustness of a diagnosis result is improved.

The invention discloses a metal mine production big data intelligent analysis method and device and a medium, and relates to the technical field of intelligent mine information, and the device comprises an acquisition and modeling module, an analysis module, a prediction and optimization module and a visualization module; the data acquisition unit is provided with a vibration sensor, a temperature sensor and a geological pressure sensor, and is used for acquiring mine equipment operation parameters, mineral processing process indexes and geological environment parameters in real time to obtain multi-source data; the data preprocessing unit is used for performing timestamp alignment, missing value compensation, noise elimination and unit normalization processing on the multi-source data to obtain standardized multi-source data; the feature extraction unit adopts a multi-head Transform network, performs space-time modeling and semantic feature fusion on standardized multi-source data, and outputs a tensor embedding vector, the risk identification result is converted into an executable process adjustment strategy, the crossing from passive early warning to active optimization is realized, and the efficiency and the intelligent level are enhanced.

The invention relates to the technical field of flexible electronics and sensing, in particular to a capacitive flexible pressure sensor based on a barium titanate composite dielectric layer, which sequentially comprises a lower electrode layer, an upper electrode layer, a lower electrode layer and an upper electrode layer from bottom to top, the composite dielectric layer is arranged on the lower electrode layer and is formed by compounding an elastic polymer matrix and a high-dielectric-constant barium titanate (BaTiO3) filler; the upper electrode layer is made of a flexible conductive material and is arranged on the composite dielectric layer; the lower electrode layer and the upper electrode layer are connected with an external capacitance measuring circuit through wires. According to the sensor disclosed by the invention, the comprehensive performance of high sensitivity, wide detection range, low hysteresis and excellent cycle stability is realized by optimizing the shape of the barium titanate filler, surface modification and composite structure design.

A system for detecting the presence of a wafer on a wafer handling robot. The system includes a robot having an end effector with a ledge portion having an opening; a vacuum pump; a conduit fluidly coupling the vacuum pump to the opening in the ledge portion; a pressure sensor located along the conduit to determine whether a measured pressure is within a target pressure range; and a wafer configured to be supported by the at least one end effector and spaced apart from the ledge portion by an air gap. When the wafer is supported by the at least one end effector in a proper position, the measured pressure is within the target pressure range. When the wafer is not supported by the wafer support structure or is supported by the wafer support structure in an improper position, the measured pressure is outside of the target pressure range.

The invention relates to the technical field of screw and bolt performance testing, in particular to a screw and bolt torsion resistance detection device which comprises a workbench, a concave containing groove is formed in the workbench, and a clamping mechanism used for clamping a bolt workpiece is arranged in the containing groove; a guide seat is fixedly mounted on the workbench, a movable frame is slidably connected to the guide seat, an electric push rod is fixedly mounted on the guide seat, an annular pressure sensor is fixedly arranged at the top of the rear side of the movable frame, and a piston rod of the electric push rod slidably penetrates through the rear end of the movable frame and an inner ring of the annular pressure sensor. The top and the middle of a piston rod of the electric push rod are fixedly connected with limiting blocks correspondingly. According to the invention, the rotating ring is matched with the plurality of L-shaped plates, switching mechanisms of different types of bits are carried, and rapid and accurate automatic switching of the bits is realized in combination with the driving part, so that the detection requirements of bolt workpieces with different notch types are met, and the equipment universality and the detection efficiency are improved.

The invention relates to the technical field of electric heater preheating, in particular to an electric heater preheating system and method. Wherein the electric heater comprises a shell, an electric heating tube and a junction box; the preheating device comprises a hot air module, a control module, a pressure sensor, a temperature and humidity sensor and a switch valve. The hot air module comprises a draught fan, a heating piece and a connecting air pipe, and the connecting air pipe is connected with the first pipe opening so that hot air generated by the hot air module can be input into the shell through the first pipe opening. The second pipe orifice is used for discharging air, the pressure sensor and the temperature and humidity sensor are arranged at the second pipe orifice to detect a pressure value, a temperature value and a humidity value, and the switch valve is arranged at the second pipe orifice to adjust the opening and closing and / or the opening degree of the second pipe orifice. When the electric heater is in a shutdown state, the external preheating device is connected with the electric heater to form a preheating system, energy of a molten salt system does not need to be depended on, non-internal circulation air is utilized, and preheating and moisture removal of the electric heater are achieved.

The invention provides an inflatable package air tightness detection device and detection method, and relates to the technical field of package detection. A top cover is arranged at the top of the detection box, a pressure sensor is arranged at the bottom of the top cover, a negative pressure pipe is arranged on the detection box and communicated with a negative pressure system, an outer cover is arranged in the detection box and connected with the top cover, a plurality of detection covers are connected to the inner side of the outer cover, and the detection covers are sequentially and tightly connected into a whole. All the detection covers are connected to form an enclosed shape which is matched with the side part and the top of the detected inflatable package, the detection covers and the top of the outer cover are communicated with a detection pipe, the top end of the detection pipe is open, the detection pipe is provided with a detection sleeve, and the detection sleeve is provided with a photoelectric detection assembly. According to the invention, whether bubbles pass through an optical signal path or not is detected through photoelectric sensing, manual eye detection is replaced, the bubble detection accuracy is improved, and detection errors are avoided.

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 belongs to the technical field of expiration detection, and particularly relates to an intelligent expiration tail end gas sampling device and method. The device specifically comprises a shell, a circuit board, a carbon dioxide sensor, a pressure sensor, a baffle, a top cover, a suspension plate, an air pump, a relay, a breathing mask, a mask connector with an internal small cavity, a thermal desorption tube, a TD tube, a Bluetooth module, an air path channel, a silicone tube and the like. End-expiratory gas collection is achieved through accurate triggering and flow control, and dead space gas mixing is avoided; collected gas is directly enriched into a thermal desorption (TD) adsorption tube, so that the loss of VOCs in the transmission and storage process is reduced; and through quantitative sampling volume control and an optimized pipeline material / structure, the adsorption / release and background pollution of the device body to the sample are reduced, so that the representativeness and sensitivity of sampling and the repeatability among different operators / different places are improved.

The invention provides a temperature tactile collaborative response flexible pressure sensor and a preparation method thereof, and the sensor comprises an upper electrode which is used for transmitting a capacitance or resistance signal; the conductive nano composite material layer is used for forming a conductive path with the upper electrode and transmitting a resistance signal; the temperature sensitive insulating layer is arranged between the upper electrode and the conductive nano composite material layer and is used for preventing the upper electrode from being in contact with the conductive nano composite material layer; and the conformal electrode microstructure array is arranged below the conductive nano composite material layer and is used for forming a capacitor with the upper electrode and forming a conductive path with the upper electrode and the conductive nano composite material layer. Whether the environment temperature reaches the dangerous temperature or not is determined according to the type of an electric signal output by the sensor, and active adjustment of touch is achieved through temperature stimulation.

The invention provides a massage chair control method based on a vehicle-mounted air source, belongs to the technical field of control, and is applied to a massage chair control system comprising the vehicle-mounted air source, an air bag, a pressure sensor, a human body posture sensor and a controller. The method comprises the following steps: acquiring an initial massage strategy; a body pressure distribution model is constructed by combining the real-time posture data and the air bag pressure value, a fatigue feature area is recognized, a strategy is dynamically corrected, and a personalized massage sequence is generated; and dynamically calibrating the massage strategy according to the posture change of the user. According to the method, the layout of the system is optimized by multiplexing the vehicle-mounted air source, accurate massage is realized by utilizing dynamic modeling and self-adaptive adjustment, the method can adapt to the characteristics of the vehicle-mounted environment, the individuation and safety of massage can be improved, and the user experience is effectively improved.

The invention discloses a multi-source navigation signal switching and fusion method and a navigation system thereof, and the method comprises the steps: carrying out the quality evaluation of signals from different navigation source GNSS, and determining a main navigation source based on a quality evaluation result; when the quality score of the main navigation source is lower than a preset threshold value or the GNSS observation information meets a preset switching condition, switching between the main navigation source and the standby navigation source is carried out, and smoothing processing is carried out on the new navigation solution and the old navigation solution in the switching process of the main navigation source and the standby navigation source; and performing multi-source data fusion and state estimation on the data of the navigation source GNSS, the inertial measurement unit, the geomagnetic sensor and the air pressure sensor through a filtering algorithm, and outputting a navigation result. According to the navigation system, a plurality of multi-constellation GNSS receiving chips, an inertial measurement unit, a geomagnetic sensor, an air pressure sensor and a micro-control unit are vertically interconnected in a single package through a wafer-level heterogeneous integration process. According to the invention, the positioning precision and robustness in a complex environment can be improved.

The invention relates to a multi-channel air pressure monitoring method, an adaptive monitoring circuit and computer equipment, and the method comprises the steps: synchronously collecting an original air pressure signal set in a target region through a multi-channel air pressure sensor, and carrying out the signal optimization processing, thereby obtaining an air pressure signal set; performing data analysis on a signal cluster divided by the air pressure signal set according to a channel grouping relationship to obtain an air pressure monitoring value of each channel, and calculating a differential pressure value between the channels in the cluster; and inputting the air pressure monitoring value and the differential pressure value into a two-dimensional data anomaly monitoring model of a dual-threshold system established based on historical data and environment auxiliary parameters, and outputting an anomaly judgment result and an anomaly weight ratio, so as to solve the problems of asynchronous monitoring data and high anomaly misjudgment rate in the traditional single-channel monitoring method, and improve the accuracy of the monitoring result. And the environmental stability of the target area is ensured.

The application provides a blood pressure measuring device and an electronic device. The blood pressure measuring device comprises a main body, a processor, an air bag, an air supply and exhaust device, a driving device, an air pressure sensor and a flow meter. The main body comprises a cavity, the air bag has an air cavity, and the air bag is fixed to one end of the main body; the air supply and exhaust device is connected to the air cavity of the air bag through a first air path; the air pressure sensor is connected to the air cavity of the air bag through a second air path; the flow meter is used for detecting the gas flow value between the air supply and exhaust device and the air bag, or for detecting the gas flow value between the air pressure sensor and the air bag; and the processor can compensate the air pressure value detected by the air pressure sensor according to the gas flow value detected by the flow meter and the corresponding relationship between the gas flow value and the air pressure compensation value, so that the influence of the blood pressure measuring device on the measurement value of the air pressure sensor during the air charging and discharging process can be effectively reduced, and the blood pressure measurement result is relatively accurate.

Disclosed herein are systems and methods to obtain representative formation pore pressure and formation mobility from pressure measurements with a formation testing tool. In some embodiments, the method includes performing a first pre-test in which a pressure sensor measures a drawdown pressure and a buildup pressure, calculating a statistical value for the measured buildup pressure, determining if the statistical value is above or below a threshold, shutting down a mud pulser if the statistical value is above or below the threshold, and performing a second pre-test in which the pressure sensor measures a second drawdown pressure and a second buildup pressure. In embodiments, the second pre-test includes a formation fluid drawdown flow rate that is different than a formation fluid drawdown flow rate in the first pre-test.

The invention relates to the technical field of atmospheric monitoring, and discloses an atmospheric dry-wet deposition automatic sampling and monitoring device, which comprises: a dry hopper for collecting atmospheric dry deposition; the wet hopper is used for collecting atmospheric wet deposition; the shielding mechanism can shield the wet hopper when the dry hopper collects the atmospheric dry deposition, can also monitor whether rain and snow exist in the environment, and collects the atmospheric wet deposition through the wet hopper and shields the dry hopper at the same time after the rain and snow are monitored; the driving mechanism can drive the shielding mechanism to be switched between the dry hopper and the wet hopper; the at least two vibration mechanisms can detect whether animals stay on the dry hopper or the wet hopper or not, and the vibration mechanisms can drive the animals staying on the dry hopper and the wet hopper in the process that the driving mechanism drives the shielding mechanism to be switched between the dry hopper and the wet hopper. According to the automatic sampling and monitoring device for atmospheric dry and wet deposition, animal staying can be detected through the vibration mechanism with the built-in pressure sensor, and then the driving mechanism drives the vibration mechanism to shake and expel.

A vacuum cleaner includes a main body, a suction motor in the main body, an extension pipe, a suction head, connected to the suction motor through an extension pipe and including a suction port through which the foreign substances are sucked, a brush inside the suction head, a brush motor configured to rotate the brush, a pressure sensor configured to detect a pressure of air flowing through the suction port, a memory configured to store reference data used to identify the type of surface to be cleaned and a learning model to update the reference data, and a controller configured to determine a suction pressure based on the detected pressure and an atmospheric pressure, and identify the type of surface using the determined suction pressure, a load of the brush motor, and the stored reference data, and to update the stored reference data based on a predetermined update condition.

The invention discloses an air pressure sensor communication control method and system based on PFM pulse frequency modulation, in a multi-sensor networking scene, environmental parameters are converted into analog electric signals through signal conditioning and then mapped into a unique pulse change sequence, and coding optimization is carried out for the matching degree of the pulse sequence and the parameter variable quantity. High-fidelity and low-power-consumption data expression and transmission are realized; anti-interference filtering is implemented through a communication link in combination with a signal transmission protocol, and original parameter data is restored through inverse mapping after the integrity of a pulse sequence is ensured; then, the data of the multi-source sensor is integrated in the main control unit to form a networking parameter data set, abnormal deviation is judged through comparison logic, a control instruction is generated and fed back to a terminal to execute accurate adjustment, a complete link from sensing and optimized transmission to closed-loop regulation and control is formed, and finally high-reliability real-time monitoring and self-adaptive intelligent regulation and control of environmental parameters are achieved.

The invention discloses a through needle temperature and pressure sensor and an assembly process, and relates to the technical field of temperature and pressure sensors, and the sensor comprises a ceramic pressure core body and an NTC assembly. An NTC (Negative Temperature Coefficient) through needle for outputting a temperature signal is arranged on the ceramic pressure core body in a penetrating manner; the NTC assembly comprises an NTC chip, a lead wire sleeve, a fixing seat and a metal sheath, a lead wire of the NTC chip is sleeved in the lead wire sleeve and extends out to be arranged through the fixing seat, and the metal sheath is sleeved outside the lead wire sleeve and the NTC chip and is fixed on the fixing seat; the lead of the NTC chip is connected with the NTC through pin through electric resistance welding, so that the connection reliability is improved, and meanwhile, the soldering tin rosin is prevented from sputtering to pollute the fixed seat and the ceramic pressure core body; the structure of the temperature pressure sensor is simplified, the reliability of electric connection is improved, and a signal path is rationalized through lead wire arrangement, metal sheath protection and electric resistance welding direct connection; the problems of complex structure, circuit virtual connection and low reliability of the existing temperature and pressure sensor are effectively solved.

A negative pressure wound therapy device can include a negative pressure source configured to be connected, via a fluid flow path, to a wound, a valve positioned in the fluid flow path and configured to, in an open state, permit supply of negative pressure from the negative pressure source upstream of the valve and, in a closed state, block supply of negative pressure from the negative pressure source upstream of the valve, a flow restrictor positioned in the fluid flow path, and a pressure sensor configured to measure a pressure differential across the flow restrictor. The device can include control circuitry configured to, in a normal operational mode, cause the valve to be in the open state and, in a test mode, perform at least one of a leak test, a flow test, or an excessive pressure test.

The invention provides a desiccant back flushing control method and device and an air suspension system.The method includes the steps that a controller of the air suspension system calculates the mass of air sucked from the outside by a high-pressure air tank according to the pressure value and the temperature value of the high-pressure air tank, and then the mass of the air sucked from the outside by the high-pressure air tank is calculated according to the maximum mass of the air capable of being adsorbed when the desiccant reaches the complete saturation state; the saturation rate of the drying agent is obtained, the state of the drying agent is judged based on the saturation rate, and when it is determined that the drying agent reaches the saturation state, the back flushing program is started. As the pressure value and the temperature value of the high-pressure air tank can be obtained by using the original pressure sensor and the original temperature sensor in the air suspension system, a humidity sensor and a flow sensor do not need to be additionally arranged, the system cost can be reduced, and the system reliability is improved. The saturation rate of the drying agent is judged by accurately calculating the mass of air accumulated by the air tank and sucked from the outside, and accurate control over back flushing of the drying agent can be achieved.

The invention discloses an elastic piece continuous punch forming device and technology, and relates to the technical field of punching, the elastic piece continuous punch forming device comprises a control module, an alarm module, an upper die assembly and a lower die assembly, and the lower die assembly is provided with a punched hole matched with the upper die assembly; through holes are formed in the lower die assembly and correspond to the positions, below the plane of the stamped residual material belt and the plane of the stamped formed product, of the lower die assembly. The material jumping prevention assembly is arranged at the bottom of the lower die assembly, comprises a negative pressure plate, a first negative pressure cavity, a second negative pressure cavity, a first air pressure sensor, a second air pressure sensor, a sealing part, a plurality of telescopic assemblies and an on-off assembly, can prevent a material belt from driving waste materials to jump, can also perform blanking detection on punched and formed products, can also perform monitoring and alarming on jumping of the material belt, and is high in practicability. And a punch in the upper die assembly can be cleaned and cooled.

The invention relates to the technical field of intelligent network connection automobile testing, in particular to a foggy day simulation control method and system for a vehicle expected function safety test, and the method comprises the following steps: S1, setting a target visibility value and a visibility deviation threshold value; s2, acquiring measurement values of a plurality of visibility sensors arranged in the test tunnel along the driving direction in real time, and acquiring a real-time water pressure value of a pressure sensor in a water supply main pipeline of the atomization unit; s3, comprehensively analyzing the measured values of the plurality of visibility sensors, and determining the current average visibility; s4, comparing the target visibility value with the current average visibility, and determining the visibility deviation; s5, executing a hierarchical control strategy according to a comparison result of the visibility deviation and a threshold value; and S6, circularly executing the steps S2 to S5 until the simulation test task is finished. According to the invention, a control logic of closed-loop feedback and hierarchical decision is constructed, and a reliable environment reference is provided for SOTIF testing.