3504 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 relates to the technical field of power transmission line safety monitoring, and particularly discloses a self-adaptive calibration method for an ultrasonic wind speed sensor, which comprises the following steps of: arranging an orthogonal ultrasonic probe array at the top of a tower, and compensating probe offset caused by swinging of a tower body in real time through GNSS / IMU (Global Navigation Satellite System / Inertial Measurement Unit) fusion positioning; integrating a temperature, humidity and pressure sensor and vibration spectrum analysis to construct an environmental parameter compensation model; double-frequency ultrasonic waves are adopted to detect the ice accumulation thickness of the protective cover and correct the sound path distance; deploying a lightweight LSTM model at an edge computing unit to realize minute-level dynamic parameter adjustment; electromagnetic interference is suppressed by combining linear frequency modulation spread spectrum and beam forming technologies; and establishing a three-height-layer wind speed gradient model to generate a galloping early warning. The problem of measurement distortion caused by tower deformation, icing and parameter solidification of a traditional sensor is solved, all-working-condition operation from-40 DEG C to 60 DEG C is supported, and the monitoring reliability in a strong electromagnetic environment is remarkably improved.

The invention is applicable to the technical field of concrete deformation measurement, and particularly relates to a non-contact concrete deformation testing system and method based on a laser ranging technology, and the system comprises a laser ranging unit which is provided with a double-frequency phase modulation laser, an optical transceiver antenna and a phase detection circuit; the environmental parameter acquisition unit comprises a temperature sensor, a humidity sensor and an air pressure sensor; and the data processing unit carries an atmospheric refractive index calculation module, a Kalman filtering algorithm and a three-level early warning module, and supports wired / wireless data transmission. The distance measurement precision is high, and the concrete micro-deformation monitoring requirement is met; non-contact characteristic: non-damage monitoring on the concrete surface is realized through a diffuse reflection target; intelligent data processing: structural deformation and environmental noise are effectively distinguished, and the early warning reliability is improved; automatic monitoring is achieved, and the manual inspection cost is greatly reduced.

The invention relates to the technical field of sensitive elements, in particular to a sensitive element of a multi-gradient interlocking structure, a preparation method and a flexible pressure sensor. The sensitive element comprises a packaging layer and a functional layer, and the packaging layer is used for maintaining the form of the functional layer. The functional layer comprises an upper electrode layer, an ionic medium layer and a lower electrode layer which are sequentially arranged from top to bottom. A plurality of first protrusions are arranged on the side, facing the ionic dielectric layer, of the upper electrode layer, and a plurality of second protrusions are arranged on the side, facing the upper electrode layer, of the ionic dielectric layer. The heights of the first protrusions are gradually increased from left to right, and the heights of the second protrusions are gradually reduced from right to left. The first protrusions and the second protrusions are arranged in a staggered mode so as to form a capacitance change area of a multi-gradient interlocking structure. The flexible pressure sensor made of the sensitive element has high sensitivity on the basis of a wide detection range, and is suitable for application scenes such as human health information monitoring and wearable equipment.

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 welding mistake proofing device for a new energy automobile welding part, and relates to the technical field of welding equipment. The laser welding device comprises a base, an adjusting ring is arranged on the top of the base, and a laser welding head is installed in the adjusting ring; a detection assembly is arranged at the top of the base and comprises a supporting shell installed on one side of the adjusting ring. Through the synergistic effect of the detection assembly and the adjusting assembly, real-time monitoring and angle dynamic adjustment of the fitting degree of two sets of pipeline workpieces are achieved, a pressure sensor can accurately recognize the eccentricity or dislocation problem during pipeline butt joint through pulley stress feedback, a driving motor is matched with a belt transmission system to drive an adjusting ring to rotate, and the fitting degree of the two sets of pipeline workpieces is adjusted. Compared with a traditional single-pipeline clamping device, the alignment problem during double-pipeline splicing is effectively solved, the problems of insufficient weld joint strength, poor sealing performance and the like caused by eccentricity are avoided, and the welding quality and the reliability of a new energy automobile pipeline system are remarkably 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 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 a gait monitoring algorithm which is used for a traditional four-foot walking aid, a six-axis gyroscope is installed in the middle of four feet of the walking aid, pressure sensor data is installed at the bottom of a handle and the bottoms of the four feet, and the gait monitoring algorithm comprises a sensor data acquisition module used for acquiring original sensor data related to gaits of a user, acquiring three-axis acceleration information; acquiring triaxial angular velocity information according to gyroscope sensor data; acquiring handle pressure and ground contact pressure information according to data of a pressure sensor; the gait feature extraction system is used for extracting gait features from original sensor data and comprises a gait feature extraction module used for extracting gait feature values from the original sensor data, the gait feature values comprise stride frequency, and the number of steps per second is calculated by analyzing periodic fluctuation of pressure or acceleration; and calculating the distance between the two steps through acceleration integration or the ground contact interval between the left foot and the right foot.

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 discloses an organic biomass aerobic fermentation oxygen supply control method based on multi-sensor fusion and state observation, and the method comprises the steps: arranging a temperature sensor, a humidity sensor, a pressure sensor, a flow sensor and a weighing device in a fermentation device, and collecting inlet and outlet air parameters and material temperature and mass in real time; the method comprises the following steps: dynamically calculating the moisture evaporation amount based on humid air science and mass conservation, estimating the fermentation heat release amount in combination with a heat balance model, fusing multi-source data through a Kalman filter, dynamically correcting the mass of organic matters and the state quantity of the heat release amount, and realizing accurate estimation of oxygen consumption without an oxygen probe; according to the method, through a residual driving weight adjustment mechanism, measured value correction is enhanced in the fermentation temperature rising period to avoid insufficient oxygen supply, model trust is enhanced in the stationary period to inhibit excessive aeration, closed-loop aeration control is achieved, the scheme gives consideration to energy efficiency, stability and suitability, and oxygen supply accuracy and fermentation efficiency are remarkably improved.

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 discloses a carbon dioxide geological sequestration leakage monitoring and early warning system. The system comprises a sensor arrangement module, a data acquisition and processing module, a prediction and early warning module and a linkage control module. The sensor laying module is used for laying pressure sensors, temperature sensors and microseism monitoring equipment on an injection well, a monitoring well and the ground surface, and real-time collection of pressure and temperature of a reservoir and a shaft is achieved by combining distributed optical fiber temperature measurement. And the data acquisition and processing module performs dynamic fitting and trend analysis on the multi-source monitoring data, and calculates to obtain a pressure evolution function. The prediction and early warning module predicts a future pressure state through a threshold value judgment and prediction model and automatically sends out an early warning signal when the future pressure state is close to a critical value, the linkage control module is combined with the injection control unit, the injection rate can be automatically adjusted or adjusted in an auxiliary mode according to an early warning result, risks are reduced, and safety is improved. The system can significantly improve the safety and reliability of carbon dioxide geological sequestration.

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.

The invention discloses a volume type hydrogen compressor cylinder body structure and a hydrogen compressor system, and belongs to the technical field of compressors, the compressor system comprises the cylinder body structure, the cylinder body structure comprises a cylinder body, piston assemblies and a piston rod, and the piston assemblies comprise the first piston assembly and the second piston assembly; each of the first piston assembly and the second piston assembly comprises a piston ring and a guide ring; an air guide hole is formed in the piston rod, an annular groove is formed between the first piston assembly and the second piston assembly, and one end of the air guide hole communicates with the annular groove; the pressure sampling device further comprises a pressure sampling cylinder, a cavity is formed in the pressure sampling cylinder, and when the piston assembly is in the gas compression stroke, the other end of the gas guide hole is communicated with the cavity. And the pressure sensor is used for measuring the pressure in the cavity. According to the structural design provided by the scheme, online monitoring of the sealing condition of the piston assembly and the air cylinder wall can be achieved, and compared with technologies based on vibration monitoring, sound wave monitoring and the like, adverse effects of the data extraction and analysis process on the monitoring result can be avoided.