85 results about "Reference sensor" patented technology

The invention relates to the technical field of gas detection, in particular to a gas detection system and method based on an AI technology, and the system comprises a differential sensing module, a drift compensation processor, a dynamic risk assessment unit and a cloud-edge collaborative learning framework. Compared with the prior art which adopts a single-sensor independent compensation scheme and has the defects that the false alarm rate is high and long-term drift is difficult to correct under environmental interference, the scheme innovatively introduces a dual-mode differential sensing architecture and an adaptive drift compensation algorithm, a reference sensor is packaged in an inert gas environment, and the reference sensor and a main sensor are subjected to real-time collaborative analysis; the pre-trained lightweight neural network is combined to dynamically eliminate temperature and humidity cross interference, the detection precision and stability under complex working conditions are remarkably improved, and the aging distortion problem of the semiconductor sensor is effectively solved.

The present disclosure relates to a method and system for monitoring the road condition by a machine learning system and to a method for training the machine learning system. The methods include: providing or acquiring data by a sensor system of a vehicle, wherein the sensor system captures the surroundings of the vehicle (2) as training input data X; providing or acquiring data which characterize the road condition by means of a reference sensor fitted in or on the vehicle as training target values, and training the machine learning system. Training data, which include training input data X and training target values corresponding to these training input data X, are provided. The training data are used to adjust parameters of the machine learning system in such a manner that the machine learning system generates output data similar to the training target values when the training input data are input.

The invention discloses an integrated cabinet testing device and a detection method thereof, particularly relates to the technical field of integrated cabinet state detection, and is used for solving the problem that in the prior art, gradual drift of a signal monitoring unit under transient electromagnetic interference cannot be quantized, and consequently equipment degradation characteristics and measurement errors are difficult to decouple. A high-strength transient electromagnetic interference environment conforming to switch operation physical characteristics is simulated in a cabinet; the acquisition end of the signal monitoring unit is connected with a high-precision reference sensor in parallel to realize millisecond-level synchronous acquisition of double-track signals; generating a difference sequence representing drift; self-adaptive fault excitation is dynamically generated based on the interference characteristic frequency band of the difference value sequence; performing covariance matrix orthogonal decomposition on the mixed signal, separating a drift feature vector and a fault feature vector, and calculating a projection scalar value; and finally, the historical reference output drift interference coefficient and the three-level fault confidence report are combined, so that the credibility of predictive maintenance of the intelligent power distribution system is remarkably improved.

Methods and systems are disclosed for a vehicle audio system including, in one example, a method for noise cancellation in a vehicle having a reference sensor configured to acquire a reference signal, a plurality of speakers configured to emit a noise cancellation signal, and a plurality of error microphones configured to acquire a residual signal. The method processes the reference signal with a time domain adaptive weight filter to produce the noise cancellation signal, estimates a frequency domain filtered virtual microphone signal from the noise cancellation signal and the residual signal, and a frequency domain filtered reference signal from the reference signal. The method decomposes the frequency domain filtered virtual microphone signal and the frequency domain filtered reference signal into a plurality of frequency domain subband signals, and updates the time domain adaptive weight filter based on a weight transformation of a plurality of frequency domain subband adaptive filter weights.

The invention discloses an intelligent gas sensor module and method based on self-diagnosis and drift compensation, and particularly relates to the technical field of gas sensors, and the method comprises the following steps: S1, a main sensor signal and a reference sensor signal are obtained, and an environmental parameter signal is synchronously collected; the method comprises the following steps: S1, a main sensor and a reference sensor are connected, a differential signal is obtained, S3, a normal floating interval of a differential signal base line is established, S4, the health state of the main sensor and the health state of the reference sensor are judged, and S5, the real-time differential signal is compensated through the base line value of the differential signal, and a compensated gas concentration signal is obtained. The common-mode environment interference of the sensor is reduced, the stability and accuracy of detection data are improved, the misdiagnosis probability of the sensor module during self-diagnosis is reduced, meanwhile, the fault reason of the sensor can be rapidly analyzed, and workers can be helped to rapidly maintain the sensor.

The invention provides an automatic calibration method and system for an inertial measurement unit, and electronic equipment, and relates to the technical field of sensors, the method comprises the following steps: building an IMU multi-modal calibration environment, and deploying multiple groups of reference sensors; designing a working environment test parameter table, performing simulation test on the to-be-calibrated IMU, and synchronously recording IMU multi-modal test data and multi-modal reference data; establishing an error parameter model; and constructing a calibration multi-objective function, performing minimization solution on the error parameter model, and performing closed-loop optimization correction on the to-be-calibrated IMU. According to the method and the device, the technical problems that in the prior art, as IMU error calibration is usually carried out in an ideal environment state, complex coupling errors caused by a multi-factor coupling effect are neglected, the compensation precision of calibration parameters under complex actual working conditions is seriously reduced, and IMU output drift is remarkably increased are solved; and the output precision of the IMU in a full working condition environment and the robustness of calibration parameters are improved.

Methods and apparatus for providing self-contained guidance, navigation, and control (GN&C) functions for a vehicle moving through an environment on or near the ground, in the air or in space without externally provided information are disclosed. More particularly, one embodiment of the present invention includes a Heading Sensor (36), an Absolute Location Sensor (38), a timer (40), a Range Doppler Processor (42), a Navigation Reference Sensor (44), an Area Range and a Velocity Sensor (46) which provide enhanced navigation information about a universal reference frame (22) and one or more targets (20).

The invention discloses an active noise reduction method and device for an automobile electromagnetic compatibility test. The method comprises the following steps: acquiring an original interference noise signal through a pre-arranged reference sensor array; processing the original interference noise signal through a pre-constructed intelligent noise reduction model to obtain a noise reduction control signal; a noise reduction signal is emitted according to the noise reduction control signal, and an electromagnetic field counteracting the original interference noise signal is formed; detecting the offset resultant field intensity signal in real time through a pre-arranged error sensor; and performing parameter optimization on the intelligent noise reduction model according to the synthesized field intensity signal. According to the method, the problem that the test accuracy is seriously influenced by environmental background noise and electromagnetic interference generated by test equipment in an automobile electromagnetic compatibility test can be solved.

A method for optimizing the environment sensing for a driving assistance system having sensor data fusion using an additional reference sensor system. The method includes: using a sensor for environment sensing as a reference sensor; creating a first environment model on the basis of sensor data from the reference sensor; creating a second environment model on the basis of sensor data from the sensor data fusion; and comparing the first environment model with the second environment model.

The invention relates to a calibration and calibration method of a multichannel elevator transportation quality tester. The calibration and calibration system is included. The calibration and calibration system is adopted to calibrate and calibrate the elevator transportation quality testers, and the calibration and calibration method comprises the following steps that S1, the multiple elevator transportation quality testers are installed on the fixing tool; s2, acquiring acceleration signals of the plurality of reference sensors through the acquisition unit; s3, the control unit outputs a control signal based on the acceleration value of the top reference sensor; s4, when the deviation between the acceleration value of the bottom reference sensor and the acceleration value of the top reference sensor is within a preset error threshold value; and S5, updating the set calibration amplitude to the next calibration point a. According to the calibration and calibration method for the multi-channel elevator transportation quality testers, the elevator transportation quality testers are arranged on the fixing tool, and efficiency is improved through calibration and calibration.

The invention discloses a transformer partial discharge positioning method and system based on an energy accumulation method and a Chan algorithm. The method comprises the steps that threshold energy of a partial discharge signal sequence is obtained through calculation; sampling points are inserted into the front end and the rear end of the sensor, and an energy inflection point of the partial discharge signal after the sampling points are inserted is solved by using an improved energy accumulation method; calculating the signal arrival time difference of the reference sensor and the non-reference sensor; and based on an improved Chan algorithm, constructing a general solution containing a positioning error variable and a target optimization function, obtaining an optimal solution of the positioning error variable by solving the target optimization function, obtaining a linear propagation distance from the partial discharge signal to the reference sensor based on the optimal solution, and substituting the linear propagation distance into the general solution to obtain a positioning result. According to the method, time difference calculation errors are solved, and the defect that a closed solution of a traditional Chan algorithm is sensitive to measurement errors is overcome. The positioning precision is greatly improved in a complex scene in the transformer, and the actual requirement of engineering for the positioning accuracy is met.

The invention discloses a seismic source positioning method considering the influence of an abnormal value and a dynamic wave velocity, and the method comprises the steps: arranging sensors to detect sound waves emitted by a seismic source, and observing the time when the sound waves reach each sensor; subtracting the control equation established based on the reference sensor from the control equation established based on the measurement sensor, and carrying out linearization and matrix representation on a nonlinear equation line obtained by subtraction; the matrix is solved, an analytic solution enabling the sum of squares of the residual errors to be minimum is found, the obtained analytic solution is substituted into an overdetermined matrix equation to obtain a fitting model, and weight estimation is conducted according to the relation between the residual errors and weights; iteration is carried out between weight estimation and overdetermined matrix solving, after optimal weight estimation is obtained, overdetermined matrix solving is completed according to the optimal weight, and a final seismic source positioning result is obtained based on an analytical solution. According to the method, the technical problem that the influence of abnormal values and wave velocity measurement errors on the seismic source positioning precision in a complex engineering environment is large is solved, and the fault tolerance and the real-time performance of seismic source positioning are improved.

The invention relates to a sensor assembly (1) for determining a concentration of a target gas, wherein the sensor assembly (1) includes a measurement sensor (2) comprising a metal oxide material for gas detection. In order to achieve a high degree of usability, according to the invention the sensor assembly (1) comprises a reference sensor (3), which comprises a metal oxide material for gas detection, which metal oxide material has substantially the same composition as the metal oxide material of the measurement sensor (2), wherein the metal oxide material of the measurement sensor (2) is functionalised with nanoparticles (5) such that the measurement sensor (2) has a modified sensitivity with respect to the target gas in order to compensate for drift behaviour of the measurement sensor (2) at least in part by measuring the difference between the measurement sensor (2) and the reference sensor (3). The invention also relates to a method for determining a concentration of a target gas using a sensor assembly (1).

This disclosure relates to an inspection trolley (10) of a hydraulic valve (1) for shutting off a flow into a body of water, the valve comprising: a body (2), a guide rail (5) and a counter-guide rail (4), a sealing plate (19) substantially parallel to the counter-guide rail (4) or to the guide rail (5), in which the inspection trolley (10) comprises: a guide train (11) and a counter-guide train (12), a measuring frame (7) disposed between the guide train (11) and the counter-guide train (12), a reference sensor (18) configured to measure a distance between the inspection trolley (10) and the sealing plate (19), a guide sensor (21) and / or a counter-guide sensor (22), and a means for measuring a distance between the inspection trolley (10) and a horizontal reference plane (25). Abbreviated figure: Fig. 2

The invention discloses an open caisson real-time posture monitoring system and method based on the hydraulic communication principle, and belongs to the field of open caisson posture monitoring. The open caisson real-time posture monitoring system based on the hydraulic communication principle comprises an open caisson body, and open caisson inner sensors located at the same height are arranged in the open caisson body; an earth surface reference sensor, a liquid storage tank and data recording and processing equipment are arranged on the open caisson body, the open caisson inner sensors are used for collecting water pressure data of the same height in the open caisson, and the liquid storage tank communicates with the earth surface reference sensor and the open caisson inner sensors through liquid transmission pipelines. And the earth surface reference sensor and the in-open caisson sensor are connected with the data recording and processing equipment through data lines. According to the open caisson real-time attitude monitoring system and method based on the hydraulic communication principle, the problems that in the prior art, precision is low, arrangement is complex, the anti-interference capacity is weak, maintenance is difficult, and manual guarding is needed can be solved.

The invention relates to the technical field of automatic control, and provides an external parameter calibration method of a sensor, a cleaning robot, a cleaning system, a computer readable storage medium and electronic device.The method comprises the steps that in the movement process of the cleaning robot, reference local sensing data of a reference sensor for each movement interval are obtained, and the reference local sensing data of the reference sensor for each movement interval are obtained; acquiring auxiliary local sensing data of each to-be-calibrated sensor for each motion interval; determining a first conversion matrix from each sensor to be calibrated to the reference sensor according to the reference local sensing data and the auxiliary local sensing data; obtaining a second conversion matrix from the reference sensor to the odometer coordinate system, and determining a candidate conversion matrix from each to-be-calibrated sensor to the odometer coordinate system according to the first conversion matrix and the second conversion matrix; and optimizing each candidate conversion matrix to obtain a final conversion matrix from each sensor to be calibrated to the odometer coordinate system. The external parameters of the sensor can be accurately calibrated at low cost.

Embodiments of methods, systems, and computer program products for calibrating actuators are disclosed herein. For example, a method may include controlling an electronically rectified motor to drive an actuator member away from a mechanical stop until a reference sensor is triggered by the actuator member of the actuator; determining the position of the electronically rectified motor from which the actuator member triggered the reference sensor; controlling the electronically rectified motor to repeatedly reciprocate the actuator member at various search distances from that position toward the mechanical stop until two reciprocating search distances (which are separately at least part of the rectification steps of the electronically rectified motor) are detected from that position, thereby resuming the triggering of the reference sensor; and determining a distance for precisely positioning the actuator member toward the mechanical stop based on the two reciprocating search distances.

The invention discloses a noise control system, method and device and a vehicle, relates to the technical field of noise control, and is used for realizing active noise reduction in a static scene of the vehicle. Wherein the noise control system comprises a reference sensor, an error sensor and a loudspeaker, the reference sensor is arranged outside the cabin, and the error sensor and the loudspeaker are arranged in the cabin. According to the noise control system, the environment noise outside the cabin can be used as the reference signal, and the reference signal and the noise heard by the user in the cabin are combined to determine the anti-phase noise for reducing the noise of the user in the cabin, so that the noise of the user in the cabin can be reduced under the condition of comprehensively considering the actual listening condition of the user in the cabin. And active noise reduction is performed on the environmental noise outside the cabin in a targeted manner. Even if the vehicle is in a static scene, the noise influence of a noise source outside the cabin on a user in the cabin can be effectively reduced, the sound environment in the cabin is purified, and the riding experience of the user is improved.

The application discloses a method for correcting linear misalignment error between sensors in a three-axis fluxgate sensor array, aiming at solving the problem of poor consistency of multi-sensor output signals caused by misalignment error between sensors. Firstly, in the case of pure geomagnetic background noise, the sensor array is rotated around the center, and the magnetic signal data of each sensor at different angles is collected; then, an error correction model of each sensor is established, the parameters of the error correction model of each sensor are solved by using the collected geomagnetic background signals at different angles, and the signals measured by each sensor are corrected; a sensor is selected as a reference sensor, a linear misalignment error correction model of other sensors relative to the reference sensor is established, and the model parameters are solved; finally, the measurement data of other sensors are substituted into the linear misalignment error correction model, and the corrected magnetic signal data are obtained. By using the corrected signals for difference or gradient operation, the signal-to-noise ratio of the difference signal or the gradient signal can be improved.

The invention provides a gas detection alarm method and system based on multi-point automatic calibration. The method comprises the following steps: acquiring gas concentration data of a plurality of detection points in a working area and space coordinates of each detection point; correcting the gas concentration data output by the sensor at each detection point based on the environmental parameters and the reference sensor data; identifying a main leakage point and a main diffusion point according to the corrected gas concentration data; according to the dangerous conditions of the main leakage points and the main diffusion points, graded alarm signals are generated, a multi-point automatic calibration mechanism is introduced, the drifting problem of the sensor caused by environment change or long-term use is effectively eliminated, and the accuracy and reliability of gas concentration data are remarkably improved; through clustering analysis and a gas diffusion model, the system can intelligently identify main leakage points and diffusion paths, and provides graded alarm and optimal evacuation guidance, so that alarm information is more accurate, and emergency response efficiency and personnel safety are greatly improved.

A device assembly for calibrating a single-use sensor before, during or after a biopharmaceutical manufacturing process step including a single-use process equipment assembly for performing at least a part of the process step. The single-use process equipment assembly includes a flow line through which a medium flows in a defined direction during the process step and an integrated single-use sensor for measuring or detecting a property at a measurement location in the flow line. The device assembly includes a calibration line and a switch inserted into the flow line upstream of the measurement location. The switch includes a flow line inlet, a flow line outlet, and a calibration line inlet connected to the calibration line. The switch selectively switches between a first (main) flow path and a second (calibration) flow path. The device assembly includes a dedicated reference sensor, reference source, or reference standard solution in the calibration line.

The invention provides a reverse power source type cementing power system. The reverse power source type cementing power system comprises a cementing frame and a single-drive servo motor arranged above the cementing frame through a support. The gear belt conveying structure, the gear belt transmission structure and the encoder are arranged on the cementing frame; a gear belt conveying structure is directly driven by an upper-arranged independent-drive servo motor, and a reverse power source type mechanical structure which transmits power to a bottom power distribution structure at the same time is adopted, so that the problem of large motor load fluctuation in a traditional driving mode is solved. The invention further provides a position control method for the system. The method comprises the following steps that the reference sensor senses and triggers a signal; and acquiring a position value as a reference encoder value b, determining a coordinate system offset compensation amount according to a preset sensor reference position value a, and converting an absolute position A in combination with a position value B fed back by the encoder. Through intelligent combination of reference sensor triggering and encoder sampling, a set of position sensing system independent of the absolute origin of the encoder is constructed.

The application discloses a kind of self-adapting transfer function equalization vector sensor background noise measurement method and system, belong to underwater acoustic sensor technical field.The output signal of the vector sensor to be measured and the reference signal of reference sensor are obtained;Based on the reference signal input to adaptive filter, the weight coefficient of adaptive filter is dynamically updated by adaptive algorithm, to establish the time-varying transfer function model from reference sensor to the sensor to be measured;Based on time-varying transfer function model, the reference signal is processed, and the result that input signal is transferred to the sensor to be measured by reference sensor transfer function compensation is obtained;The output signal of the vector sensor to be measured and the compensated signal are input into DHCM algorithm, and the background noise estimation of the sensor to be measured is obtained.The application is used to solve the problem that indirect measurement algorithm for different sensors will be distorted, aims at effectively improving the accuracy and environmental adaptability of low-frequency band background noise measurement.

The present application relates to cargo handling equipment, more particularly to the technical field of freight aircraft, and discloses a stable freight carrying type unmanned aerial vehicle, which comprises a freight unmanned aerial vehicle, a control cabinet for packaging an unmanned aerial vehicle control module is arranged on the freight unmanned aerial vehicle, a supporting part is installed on the freight unmanned aerial vehicle, a bearing part is installed on the supporting part, a gravity center part is connected to the bearing part, and a balance part is connected to the gravity center part; the air floating plate with an arc-shaped wedge surface is matched with the symmetrically arranged magnetorheological damper assembly; the air floating plate realizes the preliminary decoupling of the load and the fuselage by means of the air flow to form the aerodynamic buoyancy; various sensors integrated in the magnetorheological damper body detect the deflection state of the air floating plate in real time, drive the damper to output the reverse torque by the on-board decoupling controller, the attitude reference sensor calibrates the detection data to eliminate the interference of the fuselage inclination, and the active attitude stabilization of the freight load and the dynamic decoupling effect of the load and the fuselage of the unmanned aerial vehicle are realized.

The invention discloses an energy-saving modularized dust collector with an air inlet detection function, which comprises a dust collector main machine, a dust collector air inlet detection device, a dust collector air inlet detection device and an air outlet detection device, the dust cup module comprises a dust cup shell and a filtering assembly, the filtering assembly is detachably installed in the dust cup shell, an air inlet connector is arranged on the dust cup shell, and an air inlet channel communicated to an inner cavity of the dust cup shell is arranged in the air inlet connector; the thermal type wind speed sensor is electrically connected with the controller, and the thermal type wind speed sensor comprises a heating sensor and a reference sensor which are symmetrically arranged on the two sides of the air inlet channel; the battery pack is detachably installed on the shell, a first notch matched with the connecting base in shape is formed in the end of the battery pack, the end face of the first notch is a first arc face, and the first arc face makes contact with the surface of the dust cup shell. Compared with the prior art, the problems of high power consumption and short endurance time caused by the fact that an existing handheld dust collector cannot automatically adjust motor power are solved.

The present application relates to the technical field of data fusion, in particular to a cable-stayed bridge supporting facility state monitoring data fusion method and system. The method determines the basic correlation coefficient according to the correlation of the monitoring data of the internal sensor of the sensor; analyzes the oscillation performance of the sensor to determine the reference oscillation degree; combines the basic correlation coefficient of all sensor pairs and the reference oscillation degree in the historical period of the current section to determine the overall correlation performance of the current section; analyzes the basic correlation coefficient of the sensor pair containing the reference sensor, the overall correlation performance and the reference oscillation degree to determine the correlation collapse index of the reference sensor; combines the correlation collapse index of the sensor in the current section and the basic correlation coefficient of the sensor pair to determine the cooperative abnormal strength of the current section; and fuses the cooperative abnormal strength of all sections of the cable-stayed bridge to obtain the abnormal evaluation value of the cable-stayed bridge. The present application improves the data reliability and safety evaluation accuracy during the state monitoring of the cable-stayed bridge.

An elevator device includes: a car which travels through a hoistway; a code tape suspended in the hoistway; a code read sensor which reads a code described in the code tape; a code tape elongation / contraction detection unit which detects an amount of elongation or contraction of the code tape; a reference marker which is installed in the hoistway and which indicates a reference position of the car; a reference sensor which is installed in the car and which detects the reference marker; and a control unit which, when a condition based on the amount of elongation or contraction is satisfied, moves the car to the reference position in accordance with a detection result of the reference sensor, causes position information of the car to be read as reference position information, calculates compensatory position information based on the reference position information, and controls the car using the compensatory position information.

The application discloses a portable switch cabinet dehumidification and temperature and humidity rapid field calibration device and method, which comprises a portable temperature and humidity environment cavity, a calibration installation unit, a standard reference unit, an air flow circulation unit and an intelligent control unit; the intelligent control unit is provided with a self-checking module, a data acquisition module, a calibration judgment module and a calibration locking module; the self-checking module determines an abnormal reference sensor through data comparison logic; the data acquisition module synchronously acquires data and constructs a sliding window data set; the calibration judgment module calculates space uniformity indexes and time stability indexes, compares the space uniformity indexes and the time stability indexes with space uniformity threshold values and time drift threshold values, and judges the environment stability; the calibration locking module calculates an environment reference true value, calculates errors of sensors to be calibrated, and generates a calibration report; the application reduces the volume and weight of the calibration equipment, reduces the deviation caused by local air flow disturbance in the calibration chamber, automatically judges the calibration environment, and improves the calibration quality.

The invention discloses a side slope anti-tipping forcible entry robot structure and an operation method thereof.The forcible entry robot structure comprises a chassis mechanism, a swing mechanism and a platform mechanism, the swing mechanism is arranged on the chassis mechanism, the platform mechanism is arranged on the swing mechanism, and a first tilt angle sensor, a vehicle controller and a first wireless transceiver are arranged on the platform mechanism; the vehicle controller is connected with the first tilt angle sensor and the first wireless transceiver through data transmission lines. The operation method comprises the following steps: S1, setting an inclination angle coordinate; s2, determining a reference sensor; s3, judging a deflection angle; and S4, setting a tipping alarm value. The side slope inclination angle of the forcible entry robot is determined according to the angle information of the chassis mechanism, and the rotating position of the platform mechanism is determined according to the angle difference between the platform mechanism and the chassis mechanism. Through cooperation of the first tilt angle sensor and the second tilt angle sensor, the tilt state of the forcible entry robot can be correctly reflected, and the tipping risk is effectively avoided.

The invention relates to the technical field of image sensors, and provides a common-view area-based sensor external parameter determination method and system, and electronic equipment. According to the invention, the sensor external parameters of the reference sensor relative to the vehicle terminal are obtained, and the reference sensor and the target sensor are determined according to the common-view area, so that the pose relative relation between the reference sensor and the target sensor is determined through the common-view matching point of the common-view area. And the sensor external parameters corresponding to the reference sensor are calculated according to the pose relative relation to obtain the sensor external parameters corresponding to the target sensor, so that the target sensor does not need to carry out an independent external parameter calibration algorithm, the dependence of the image sensor on the independent calibration algorithm is reduced, and the calibration accuracy is improved. The external parameter error of the target sensor is limited in the geometric constraint range of the common-view area, so that the stability of the external parameter of the sensor during calibration is enhanced, and the reliability requirement in the field of automobiles is met.