110 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.

A measuring system for characterizing a multilayered structure with layer-by-layer different ohmic properties, having a sensor module, an electrical switching device, and a measuring electronics unit. The sensor module has more than two planar coils arranged in a stack, and the electrical switching device is contacted with the planar coils and is configured to connect these coils to the measuring electronics unit such that the coils are switchable between a measuring configuration and a reference configuration. In the measuring configuration, the planar coils at least partially form an optionally inductive or capacitive measuring sensor, with the detection area extending outside the sensor module for determining a property of a low and / or high-resistance layer of the structure. In the reference configuration, the planar coils at least partially form an optionally inductive or capacitive reference sensor, with the detection area extending essentially inside the sensor module for determining a sensor module property.

Systems and methods for measuring an axial position of a phonic wheel or other rotating component are provided. The system includes a phonic wheel rotatable about a rotation axis and translatable along the rotation axis, a first sensor, a second sensor and a computer. The phonic wheel includes an inclined tooth having an axially non-uniform radial height and a reference tooth having an axially uniform radial height. The first sensor generates a positioning signal indicative of a gap between the inclined tooth and the first sensor. The second sensor generates a reference signal indicative of a gap between the reference tooth and the reference sensor. The first and second sensors have different orientations. The computer generates an output indicative of the axial position of the phonic wheel based on the positioning signal and the reference signal.

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.

An elevator device (1) is provided with: a car (3) that runs in a hoistway (2); a code tape (11) that is suspended from the hoistway (2); a code reading sensor (13) that reads a code described on the code tape (11); a code tape stretch detection section (20, 30, 40) that detects a stretch amount (S5) of the code tape (11); a reference mark (16) that is provided to the hoistway (2) and indicates a reference position of the car (3); a reference sensor (15) that is provided to the car (3) and detects the reference mark (16); and a control section (10) that, in a case where a condition based on the stretch amount (S5) is satisfied, moves the car (3) to the reference position based on a detection result of the reference sensor (15), reads position information (S4) of the car (3) as reference position information, calculates correction position information based on the reference position information, and controls the car (3) using the correction position information.

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 disclosure relates to systems and methods for enhancing active noise cancellation (ANC) in a vehicle, particularly for addressing challenges associated with broadband noise control. The present disclosure introduces a novel approach of subband adaptive filtering (SAF) that significantly reduces computational load and improves noise cancellation within a wide spectrum. The noise elimination system comprises a reference sensor, an adaptive weight filter, a loudspeaker, an error microphone, a signal processing unit, a sub-band processing module, a gradient determination module, an adaptive step size determination module, a sub-band adaptive weight updating module and a weight transformation module. By reducing complexity and improving convergence rate and stability of adaptive filter weights, the disclosed methods enable ANC to be implemented in environments with limited processing capabilities without sacrificing performance.

A system and method for enhancing an in-vehicle acoustic experience is provided, including obtaining and transmitting sensor data by a sensor module, a sound scene generation module receiving the sensor data and referring to the sensor data to generate a sound scene audio signal. Then, a mixed audio signal formed by mixing the generated sound scene audio signal and an audio source signal provided by a vehicle-mounted entertainment module is played in the space in the vehicle through at least one loudspeaker, so that the acoustic experience in the vehicle can be enhanced under the condition that the driving of the vehicle is not influenced, a driver and passengers are helped to relax, the concentration degree is improved, and the safety of the vehicle is improved. And the immersive acoustic experience is enjoyed while the noise is further masked.

The invention relates to the technical field of automatic fluid treatment, and provides a fluid sample loading dynamic calibration method and system based on a sensor, and the method comprises the following steps: after executing calibration operation on a bioreactor, obtaining a first sensing signal output in a transition fluid disturbance observation stage by controlling the sensor of a fluid sample loading unit; acquiring a second sensing signal output in a stable sample physical property evaluation stage by controlling a sensor of a fluid sample loading unit; performing feature comparison on the first sensing signal and the second sensing signal, and determining a disturbance compensation amount according to a comparison result; performing feature comparison on the second sensing signal and a historical reference sensing signal, and determining a drift compensation amount according to a comparison result; according to the disturbance compensation amount and the drift compensation amount, differential compensation adjustment is carried out on driving parameters or sensor interpretation logic of the fluid sample loading unit. The method has the effect of continuously and accurately reflecting the sample loading volume of the undisturbed sample state.

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 present invention discloses an active array composite muffler, comprising an array muffler and an active muffler system. The array muffler comprises a plurality of muffler columns arranged in an array. The active muffler system comprises a controller, a reference sensor adjacent to the array muffler inlet, a secondary speaker embedded within the muffler columns, and an error sensor adjacent to the array muffler outlet. The array muffler and the active muffler system are integrated together in a segmented or non-segmented composite manner. By combining active muffler technology with a traditional array muffler, the present invention overcomes the limitations of traditional passive mufflers in their poor low-frequency noise control, effectively improving the muffler's low-frequency noise reduction and achieving broadband muffler performance.

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 present invention discloses a full-band silencer system and a silencer method thereof, comprising: a silencer outer shell connected to a pipeline, the silencer outer shell comprising an air inlet pipe and an air outlet pipe; an inner guide seat, the guide seat being fixedly mounted inside the silencer outer shell; a silencer structure, the silencer structure comprising a plurality of reference sensors, a secondary sound source located on the right side of the reference sensor and connected to the inner guide seat, an error sensor arranged on the side of the inner guide seat close to the air outlet pipe, an active control system is adopted to reduce the noise value in the pipeline, and the active noise control algorithm for suppressing secondary sound feedback proposed in this case adopts a dual-reference microphone array method to indirectly estimate the actual reference signal after suppressing the feedback sound signal, thereby providing more accurate noise information for the active noise control system, and stimulating the secondary sound source arranged in the pipeline to achieve a more superior noise reduction effect at the error point.

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.