9375 results about "Pressure sensor" patented technology

The invention discloses an intelligent temperature compensation method for a pressure sensor, and relates to the technical field of sensor equipment. Comprising the following steps: constructing a temperature response characteristic model, collecting temperature data in real time, loading a temperature compensation algorithm on the temperature data collected in real time, updating the temperature response characteristic model in real time, performing real-time temperature compensation correction in output of a pressure sensor, and establishing an error prediction and early warning mechanism. And carrying out adaptive optimization and long-term calibration on the temperature compensation method. According to the intelligent temperature compensation method for the pressure sensor, through temperature response characteristic modeling, a temperature compensation algorithm, real-time model updating and other methods, the measurement precision and long-term stability of the sensor in a complex environment are remarkably improved, and rapid temperature difference changes and nonlinear errors can be adaptively coped with. Meanwhile, it is ensured that the temperature compensation algorithm can be continuously optimized along with environment changes and sensor aging, high applicability and expandability are achieved, and technical guarantee is provided for application of the sensor under severe working conditions.

A pressure sensor calibration method based on environmental interference compensation relates to the technical field of pressure sensor calibration, and comprises the following steps: acquiring an output value and environmental data of a target pressure sensor, marking acquisition time, and setting an acquisition period; performing statistical analysis on the environmental data of the target sensor in each historical acquisition period to obtain key values of each type of environmental parameters; a feature database is constructed, a simulation experiment is carried out based on the environment feature sets in the feature database, and pressure deviation values under different environment feature set conditions are obtained; and constructing a deviation output model, inputting the environmental data of the current acquisition period into the feature database for feature matching, and performing compensation adjustment on the target pressure sensor based on the deviation output model according to a feature matching result, or performing flexible compensation adjustment operation on the target pressure sensor. Therefore, the measurement precision, the stability and the adaptability of the pressure sensor are obviously improved.

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

The invention relates to the technical field of slope stability data identification, and particularly provides a multi-sensor fusion slope stability intelligent analysis system and an edge calculation method.The system comprises an environment sensing subsystem, a data processing subsystem and an edge calculation subsystem, the environment sensing subsystem monitors the change of the soil moisture content through a soil humidity sensor, and micro movement data of a slope are obtained through a displacement sensor; using a pressure sensor to sense the change of the ground pressure; meanwhile, pre-screening out abnormal data to form a fused data set; the data analysis subsystem is used for converting abnormal data of the fusion data set into a quantitative index of slope stability, and deducing a potential sliding risk of the slope by analyzing the relevance of the soil water content, the tiny movement data or the ground pressure; and the decision support subsystem provides specific reinforcement countermeasures according to the analysis result of the potential sliding risk. According to the method, the potential sliding risk of the side slope is comprehensively deduced by analyzing the relevance of the soil water content, the tiny movement data and the ground pressure.

The invention relates to the technical field of parameter adjustment, and discloses a low-temperature evaporative crystallization machine parameter adjustment method, device and equipment and a storage medium, and the method comprises the steps: collecting M groups of temperature sensor data and N groups of pressure sensor data of a low-temperature evaporative crystallization machine, calculating a first uncertainty representation of temperature parameter measurement and a second uncertainty representation of pressure parameter measurement; performing data fusion to obtain an optimal estimated value of a temperature state and an optimal estimated value of a pressure state; parallel prediction is carried out through the thermodynamic equilibrium model, the crystallization kinetic model and the system response model, and a crystallization process prediction result is obtained; according to the technical scheme of the invention, the interference of the feeding fluctuation, the environmental change and the like can be effectively handled, and the real-time updating of the control strategy and the accurate adjustment of the temperature and pressure parameters can be realized.

The invention relates to the field of building settlement monitoring, and discloses a multi-source data-artificial intelligence fused building deviation rectification settlement prediction method and system, and the method comprises the following steps: multi-source data collection: obtaining multi-class sensor data related to building settlement, the multiple types of sensors comprise a level gauge, a total station, an underground water level sensor and a soil body pressure sensor, and multi-modal data input is formed; the invention also discloses a multi-source data-artificial intelligence fused building deviation rectification settlement prediction system. The system comprises a data acquisition module, a data processing module, a deep learning prediction module, a model optimization module, an intelligent early warning module and a user interaction module. According to the invention, by dynamically adjusting the settlement risk threshold and introducing a multi-stage early warning signal and an intelligent decision support system, accurate early warning and real-time decision support of the settlement risk are realized, and the adaptability, accuracy and response efficiency of the system are significantly improved.

The invention provides an active control method and device for a pantograph, and relates to the technical field of locomotive pantographs, and the method comprises the steps: obtaining the real-time operation parameters of a train through a train network interface; matching a corresponding pantograph control curve based on the real-time operation parameters and the configuration information; according to the current speed of the train and the matched pantograph control curve, the target pressure of an air bag is determined; receiving the actual pressure in the air bag continuously monitored by the air pressure sensor; and comparing the actual pressure with the target pressure to control the airbag pressure. According to the pantograph active control method and device provided by the invention, the pantograph net contact force detection and the pantograph controller are fused to realize the closed-loop active control function of the high-speed pantograph, the pantograph net active controller is optimized, the pantograph net current collection performance of the high-speed motor train unit is improved, and the pantograph net contact force detection and the pantograph controller are integrated to realize the closed-loop active control function of the high-speed pantograph. And a good effect is achieved through experimental research on an actual line, and related design and performance requirements can be met.

According to the technical scheme, the automatic feeding system comprises a feeding bin, a pneumatic conveying pipeline, an air source device and a discharging bin, and further comprises a distributed sensor set used for monitoring the flux, pressure, temperature and vibration frequency spectrum of a preset point of the pneumatic conveying pipeline; comprising a flow sensor, a pressure sensor, a temperature sensor and a vibration acceleration sensor which are arranged at a plurality of preset points of a conveying pipeline, and a digital twin model building module which is used for building three-dimensional modeling of the pneumatic conveying pipeline and mapping state parameters of all positions of a pipeline distribution sensor group in real time; the blockage analysis module is used for marking a blockage position to three-dimensional modeling in real time based on data acquired by the distributed sensor group, extracting a multi-parameter change curve in a time period T before blockage, constructing a blockage feature library, and generating a blockage risk level through a weight change rate difference value of a feeding bin and a discharging bin; and the graded dredging execution module is configured with a differentiated dredging strategy, and the differentiated dredging strategy is started according to the blockage risk grade.

The invention relates to the technical field of directional drilling track control, and discloses a coal mining underground directional drilling track control method and system, and the method comprises the steps: carrying out the fusion track analysis of a drilling machine based on sensor data, drilling parameters and pre-obtained geological hardness parameters, and obtaining a reference track of the drilling machine, a sensor, an azimuth angle sensor and a bit pressure sensor are used for synchronously collecting drill bit attitude data of a drilling machine to generate a real-time track of the drilling machine, then track offset calculation is carried out to obtain inclination angle deviation and azimuth angle deviation, and dynamic gain adjustment analysis is carried out on the drilling machine to obtain adjustment parameters of the drilling machine. And finally, the drill bit posture of the drilling machine is adjusted based on the adjusting parameters. According to the method, the directional control accuracy of the underground drilling track can be improved.

The invention discloses a lower limb exoskeleton gait track prediction method based on an LSTM-KAN fusion model, and the method comprises the steps: collecting human motion data through a sensor assembly, and carrying out the filtering, missing value processing and normalization of the human motion data; then constructing an overall architecture of a prediction model based on an LSTM-KAN network, optimizing parameters of the prediction model by using a particle swarm optimization (PSO) algorithm, extracting key features in the preprocessed data as a training data set, and inputting the training data set into the prediction model for training; and finally, collecting current human body motion data, pre-processing the current human body motion data, inputting the pre-processed current human body motion data into the trained prediction model, and outputting future human body gaits and tracks by the prediction model. And the controller takes a future gait track generated by the prediction model as a reference track to generate a driving signal and sends the driving signal to the actuator so as to realize accurate control of the actuator. By adopting the gyroscope sensor, the acceleration sensor and the pressure sensor for gait estimation, exoskeleton motion control can be effectively improved, and man-machine interaction experience is effectively improved.

A post-construction settlement prediction and risk assessment system for a soft soil foundation comprises a data acquisition module which is arranged at a key position of the soft soil foundation and comprises a soil humidity sensor, a pressure sensor and a displacement sensor; the data analysis module is used for preprocessing the data acquired by the data acquisition module, extracting key features from the preprocessed original data and taking the key features as model input; the settlement prediction module comprises a finite element model and a prediction model, inputs the model into the finite element model, outputs settlement results under different load conditions, and outputs corresponding settlement curves and prediction trends in combination with the prediction model; and the risk assessment module is used for outputting a corresponding risk level according to a set threshold value based on the prediction trend of the settlement prediction module. An efficient technical means is provided for monitoring and predicting the settlement risk, a scientific basis is provided for decision making in the construction process, and the safety and economical efficiency of engineering are improved.

The invention discloses a karst-rich geological pile foundation construction quality detection method, and belongs to the technical field of engineering construction quality detection. The method comprises the following steps before construction: constructing a digital three-dimensional model of a site and a geologic structure; creating an ideal construction model based on the constructed digital three-dimensional model; a special tracing material is used in the construction process and is used for tracing the flowing state and the distribution condition of the pouring material in real time; a pressure sensor, a displacement sensor, a tilt angle sensor and a detector specially used for detecting a tracing material are uniformly arranged along a construction area to form an omnibearing monitoring network; in the construction process, monitoring data are analyzed in real time to recognize an abnormal mode, and construction parameters are dynamically adjusted according to the abnormal mode; the construction process is visually presented, and potential problems are predicted; the construction quality is comprehensively evaluated by utilizing a tracing material in combination with a multi-source detection technology, so that the existing defect problem is accurately positioned.

The utility model belongs to the technical field of pipelines, and particularly relates to an anti-leakage detection device for a municipal road drainage pipeline, which comprises a body, sealing structures are symmetrically arranged on two sides of the body, and the sealing structures can be attached to the inner wall of a drainage pipe; the driving wheel is arranged below the body and is used for driving the device to move in the drainage pipe; the air supply assemblies are arranged on the two sides of the body and used for sealing air pressure between the structures; the auxiliary structures are uniformly distributed at the outer end of the sealing structure in the circumferential direction and are symmetrically arranged front and back; wherein an air pressure sensor is arranged on the body and used for detecting the air pressure between the sealing structures when the device works. The effects of improving the detection accuracy and avoiding the missing detection phenomenon are achieved.

The invention relates to the technical field of mine equipment monitoring and maintenance, and discloses a mine equipment state monitoring and maintenance method based on the Internet of Things, which comprises the following steps: S1, multi-source data acquisition: synchronously acquiring equipment operation parameters and environmental parameters through vibration, temperature and pressure sensors and environmental sensors deployed on mine equipment; s2, edge calculation processing: performing filtering and anomaly detection on the sensor data at a mine edge gateway to generate a compressed data packet; s3, online learning and model dynamic updating; s4, new equipment is accessed; s5, maintenance decision and resource scheduling; and S6, performing closed-loop feedback optimization. High-error historical sub-trees are dynamically eliminated, new sub-trees are generated, model parameters are adjusted in combination with maintenance feedback data, on the basis that historical effective knowledge is reserved, equipment dynamic features are extracted, accurate matching of prediction results and maintenance strategies is ensured, and the self-learning ability and maintenance decision reliability of the model are remarkably improved.

The embodiment of the invention provides a construction hoist height measurement method and device based on double correction, and the method comprises the steps: building a pressure height mapping model for initial calibration through fusing the data of a high-precision air pressure sensor and a six-axis gyroscope; the weight of the sensor is dynamically adjusted by adopting a motion state evaluation matrix, and error correction is realized by combining null drift reference point records. And constructing a state transition equation and an observation equation by using an extended Kalman filter, and obtaining a high fusion result through a prediction updating step. Meanwhile, the system has the functions of abnormal state monitoring and sensor mode automatic switching, and double guarantees of measurement precision and reliability are achieved. The method effectively solves the problem that a traditional single sensor measurement scheme is unstable in precision in a complex environment.

The invention relates to the field of settlement monitoring, and particularly discloses a laser measurement target and a settlement monitoring device thereof, and the laser measurement target comprises a reflecting surface which is made of a high-reflectivity material and is used for efficiently reflecting a laser measurement signal and ensuring the accuracy and stability of the measurement signal; the built-in sensor module comprises a temperature sensor, a humidity sensor and a pressure sensor and is used for monitoring the temperature, humidity and pressure changes of the surrounding environment of the target in real time so as to provide comprehensive environmental parameter data; the data processing unit is used for receiving sensor data and calculating the influence of the environment on the measurement precision so as to correct a laser measurement value; the temperature, humidity and pressure changes of the environment can be monitored in real time through the sensor module arranged in the target, and comprehensive environment parameter data are provided for measurement. And the data processing unit is responsible for receiving the data, calculating the influence of the environment on the measurement precision through an algorithm module, and correcting the laser measurement value, so that the measurement accuracy is further improved.

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

The invention discloses an underground water level monitoring method and system, and belongs to the technical field of water level monitoring, and the method specifically comprises the steps: arranging a pressure sensor and a temperature sensor in to-be-monitored underground water, initializing the sensors, carrying out the calibration, collecting the pressure and temperature data in an underground water well in real time, and carrying out the real-time monitoring of the pressure and temperature data; the height of the underground water level is calculated and corrected according to the pressure and temperature data, filtering calibration processing is conducted on the corrected height of the underground water level, environmental noise and sensor errors are eliminated, modeling and analysis are conducted on stored historical data of the underground water level, and the future change trend of the underground water level is predicted; transmitting the finally estimated underground water level data and the predicted change trend of the underground water level, storing the data in real time and monitoring the data in real time; model parameters can be dynamically adjusted according to historical data, high-precision prediction is performed on short-term and long-term trends of the underground water level, and the method adapts to underground water level characteristics of different regions and different time periods, so that abnormal fluctuation of the underground water level is monitored in real time.

The invention relates to the technical field of urban drainage management, and discloses a municipal sewage pipe network dynamic drainage system and a control method, and the system comprises a sewage pipe network, a central controller, a pump station, a valve and an edge control terminal; the control method comprises the following steps that real-time data are obtained from a plurality of sensors arranged in a sewage pipe network, the plurality of sensors comprise a flow sensor, a water level sensor, a pressure sensor and a rainfall sensor, and the obtained real-time data comprise the sewage flow, the water level, the pipeline pressure and the external rainfall inflow in the pipe network; based on the collected real-time data, dynamic hydraulic modeling is carried out on the sewage pipe network through a central controller, a mathematical model for describing the hydraulic state change of the pipe network is established, and the mathematical model comprises spatio-temporal evolution of flow, water level and pressure. According to the invention, by constructing a drainage scheduling mechanism based on real-time data modeling and edge control linkage, dynamic adjustment and stable control of the running state of the sewage pipe network are realized.

The invention discloses a method for determining the plugging thickness of a silt rock stratum based on temperature-pressure field simulation, which comprises the following steps: judging that the fracture pressure of a shale reservoir is smaller than the minimum starting pressure of an overlying silt rock stratum, and carrying out the following steps: wrapping the side surface of a roof rock sample by using a heat insulation sealing material; heating and pressurizing devices and temperature and pressure sensors are arranged on the bottom surface of the rock sample, and a plurality of pressure sensors are arranged on the side surface of the rock sample at set intervals; heating the rock sample by using a heating device until the bottom temperature is the set temperature, pressurizing the rock sample by using a pressurizing device until the bottom pressure is the set pressure, stabilizing the temperature and the pressure until the measured values of the sensors are stable, and determining the lowest position where the pressure of the rock sample is not higher than the second set pressure according to the measured values of the sensors; determining the lower limit of top plate plugging thickness according to the distance from the position to the bottom surface; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the plugging thickness of the top and bottom plates of the shale reservoir through joint simulation of the temperature field and the pressure field.

The invention provides a small-bending-radius pipe push-bending device and a using method thereof.The small-bending-radius pipe push-bending device comprises an upper supporting plate, a push rod, a hydraulic pressurizing pipe, a guide sleeve, a push-bending mold, a sealing joint, a sealing ring, a rubber ball, a pressure sensor, a hydraulic pushing cylinder, a movable ball joint and a hydraulic pressurizer. The using method comprises the following steps that firstly, a straight pipe needing to be machined is installed on the inner side of the push-bending mold; the guide rod is attached to the guide sleeve; a plurality of rubber balls are filled in the inner cavity of the straight pipe; a gap of an inner cavity of the straight pipe is filled through the hydraulic pressurizer; starting the press to apply downward pressure to the push rod; the liquid filling pressure is set to pressurize and support the interior of the pipe, and the pipe begins to be bent and formed along with descending of the push rod; and after 90-degree bending forming is completed, the liquid filling pressure is gradually increased for pressurization shaping. By adopting the mode of filling gaps with rubber balls and hydraulic pressure, the supporting pressure in the pipe is improved; and by adopting a differential friction form, the length of a linear section is increased, and meanwhile uniform stress in the bending process is achieved.

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

The invention discloses a moisture flow measuring method based on vortex street frequency-disturbance wave frequency dual-mode detection, an adopted measuring device comprises an annular electrode pair, a pressure sensor, a temperature sensor and a vortex street flowmeter, and the annular electrode pair is used for obtaining a liquid film thickness sequence; the pressure sensor is used for collecting working condition pressure, the temperature sensor is used for collecting working condition temperature, and the vortex shedding flowmeter is used for collecting vortex shedding signals; the measurement method comprises the following steps: (1) establishing a moisture measurement model; (2) a Newton iteration format with the actual value of the gas phase flow in the moisture as a parameter is obtained; and (3) iteratively solving the gas volume flow.

Herein are described methods and systems for characterizing noise and noise level during downhole pressure testing and / or sampling operations. Methods and systems may identify and quantify the noise level of a formation pressure testing and / or sampling operations by measuring pressures with the probe pressure sensor and the tool pressure sensor with and without extension of the dual probe and closing the bubble point valve that connects the probe fluid passageway to the tool fluid passageway.

The invention discloses a method for determining the plugging thickness of a complex lithologic layer based on simplified lithologic combination, and the method comprises the steps: determining the vertical superposition relation of a silty rock layer and a shale layer and the total thickness of the silty rock layer and the shale layer according to the lithologic longitudinal distribution characteristics of an overlying stratum; integrally forming and preparing a roof rock sample by combining the properties of siltstone and shale; arranging a plurality of groups of temperature sensors, pressure sensors and strain sensors on the side surface of the rock sample at set intervals; heating the rock sample until the bottom temperature is the set temperature, pressurizing until the bottom pressure is the set pressure, applying stress to the bottom of the rock sample step by step from small to large until the set stress, and stabilizing at the temperature, the pressure and the stress until the measured value of the sensor is stable; determining the lower limit of the roof plugging thickness according to the measured value of each sensor and the up-and-down superposition relationship; and similarly, determining the bottom plate plugging thickness lower limit. According to the method, through simplified lithology and combined simulation of a temperature field, a pressure field and a stress field, the lower limit of the plugging thickness of the shale reservoir complex lithology roof and floor is reasonably quantified.

The invention relates to the field of medical equipment, and discloses an intracavity radiofrequency ablation system. The system includes a radio frequency generator, a catheter with a heating element, a pressure sensor, and a temperature sensor, a processor, and a display. By monitoring the temperature and the pressure in real time and dynamically adjusting the radio frequency energy output power, the safety and the accuracy of the treatment process are ensured. The system can automatically adjust treatment parameters according to the real-time contraction condition of the cavity tissue, prevent overheating, reduce damage to normal tissue, provide visual tissue contraction feedback and improve the treatment effect.

The invention relates to the technical field of multi-oil-vane-tile detection, and discloses a multi-oil-vane-tile inner hole shape line detection method and a detection system, the detection system comprises a placing cylinder, a multi-oil-vane-tile is arranged on the outer side of the placing cylinder in a sleeving manner, the detection system further comprises a detection cylinder, a telescopic arm, a rotating motor and a control unit, and the detection cylinder is arranged on the upper portion in the placing cylinder in a transverse translation manner; the telescopic arm translates in the radial direction of the detection cylinder, the rotating motor drives the detection cylinder to rotate, the pressurization cavity and the detection cavity are each provided with a pressure sensor, and the telescopic arm comprises an arm body, a detection head and a piezoelectric sensor. The detection method comprises the following steps: S1, centering and positioning; S2, measuring the radius of a circular section of the inner hole; S3, measuring the radius of a circle of the inner hole; and S4, obtaining the shape line of the inner hole. The objective of the invention is to solve or at least alleviate the problems of complex operation and need of recalibration and positioning when a three-coordinate measuring instrument is adopted to carry out multi-oil-vane-tile inner hole shape line detection, and at the same time, the measurement accuracy can be guaranteed.

The invention discloses a method for determining the plugging thickness of a complex lithologic layer based on temperature-pressure field simulation, and the method comprises the steps: determining the vertical superposition relation of a silty rock layer and a shale layer and the total thickness of the silty rock layer and the shale layer according to the lithologic longitudinal distribution characteristics of an overlying stratum in a set range; respectively obtaining formulas for preparing siltstone and shale through experimental fitting; integrally forming and preparing a roof rock sample; arranging multiple groups of temperature sensors and pressure sensors on the side surface of the rock sample at set intervals; heating the rock sample until the bottom temperature is the set temperature, pressurizing the rock sample until the bottom pressure is the set pressure, and stabilizing at the temperature and the pressure until the measured value of the sensor is stable; determining the lower limit of the roof plugging thickness according to the measured value of each sensor and the up-and-down superposition relationship; and similarly, determining the bottom plate plugging thickness lower limit. According to the method, the lower limit of the plugging thickness of the shale reservoir complex lithology top and bottom plates can be reasonably quantified through simplified lithology and joint simulation of a temperature field and a pressure field.

The invention discloses a gas flow sensor combination device based on temperature and pressure compensation and a flow correction method. The gas flow sensor combination device comprises a flow sensor combination, a pipeline mechanism, a data processing terminal, an environment pressure sensor and an environment temperature sensor. The pipeline mechanism comprises an air inlet pipeline and an air outlet pipeline, and a plurality of branches arranged in parallel are connected between the two pipelines; the flow sensor combination comprises laminar flow sensors arranged on the branches respectively and electromagnetic valves used for controlling the branches to be opened and closed, and the laminar flow sensors comprise laminar flow elements arranged on the corresponding branches. The laminar flow element is provided with a pressure difference sensor device used for measuring the pressure difference of an inlet and an outlet, a tail pressure sensor used for measuring the pressure and the temperature of fluid flowing through the laminar flow element, and a tail temperature sensor. The laminar flow sensor is used for measuring parameters such as temperature, pressure and pressure difference of fluid in real time, the parameters are calculated and corrected to obtain the flow in a standard state, and measured flow data are more scientific and accurate through temperature and pressure compensation.

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.