91results about "Automatic recalibration" patented technology

The invention discloses a precise environment monitoring and early warning system, and belongs to the technical field of environment monitoring. Aiming at the problems that an existing system is fixed in threshold value, poor in adaptability and complex in calibration, the system integrates a temperature sensor, a humidity sensor, a vibration strength sensor and a structural stress sensor through a multi-parameter acquisition module, and environment parameter data are obtained in real time; the central processing module operates a dynamic threshold adjustment algorithm to automatically update the dynamic threshold of each parameter, triggers a multi-sensor calibration mechanism when detecting the sudden change of the parameter, and automatically corrects the reference value of the corresponding parameter after calibration; the early warning execution module responds immediately when any parameter exceeds a dynamic threshold value. According to the system, through the dynamic threshold optimization and automatic calibration technology, the environmental parameter monitoring precision and the system adaptability are remarkably improved, and the system can be widely applied to real-time safety monitoring and early warning in the fields of prefabricated building hoisting operation, building construction, ultra-deep foundation pit supporting and the like.

The invention, which relates to the technical field of highway traffic safety monitoring, discloses an expressway pavement ice condensation monitoring system comprising a data acquisition module for acquiring environmental data and pavement icing state information on an expressway pavement; and the self-calibration module is connected with the data acquisition module, performs self-calibration on the data acquisition module according to the environment data acquired in real time and the road surface icing state information, and corrects sensor errors caused by external environment factors. According to the highway pavement ice condensation monitoring system, a self-calibration function is added in monitoring equipment and an intelligent algorithm is introduced, so that the monitoring system can automatically correct measurement errors caused by external environment changes in real time, and a machine learning model is combined to predict pavement conditions more accurately; the working stability of the system in severe weather can be improved, and the risk of icing of the road surface can be found earlier, so that more accurate early warning information is provided for a traffic management department, and the probability of traffic accidents is reduced.

The invention provides a photovoltaic array installation error detection and automatic correction system, and relates to the field of photovoltaic technology. The photovoltaic array installation error detection and automatic correction system comprises a data acquisition layer, the data acquisition layer is connected with an edge processing layer, the edge processing layer is connected with a central processing layer, the central processing layer is connected with an execution layer, the execution layer is connected with a user interaction layer, and the user interaction layer is connected with a management and maintenance layer. Through dynamic reference generation and self-learning optimization, an optimal angle reference can be intelligently generated according to real-time environment change, an error detection and correction algorithm can be continuously optimized, prediction and advanced adjustment functions are combined, calculation is carried out in advance, a correction instruction is issued, it is ensured that the photovoltaic panel is always located at the optimal power generation position, and the power generation efficiency is improved. And meanwhile, an unattended automation technology is utilized, so that the maintenance cost and the manpower demand of the system are reduced, and the overall operation efficiency and reliability are improved.

The invention discloses a self-healing sensing method and a self-healing sensing device, and aims to improve the reliability and the accuracy of a sensor under the condition that a fault exists or the performance is reduced. According to the basic principle of the method, a self-detection and self-healing mechanism is started in time by monitoring the difference between sensor output and target physical quantity in real time, so that the stability of the system and the reliability of data are ensured. According to the self-healing sensing method and device, data unreliability caused by sensor faults can be effectively handled, and the self-adaptive capacity and robustness of the system are improved. Through the combination of real-time monitoring and machine learning, the system can automatically adjust the output when the sensor fails, and reduces the need of human intervention, thereby improving the stability and data quality of the whole system. The innovative method has wide application prospects in the fields of intelligent sensors, automatic control, Internet of Things and the like.

The invention provides a method for calibrating a sensor (20) of a vehicle (18). In this case, a sensor measurement value is received with the aid of a data processing device (10) together with a measurement position and a measurement time. If the measurement time of the sensor measurement value and the reference measurement time deviate from each other by a maximum of 30 minutes, the sensor measurement value is assigned to at least one reference measurement value based on the measurement position and the measurement time, which reference measurement value has been determined with the aid of a reference sensor (26) of a reference vehicle (24) at a reference position and at a reference measurement time. In addition, at least one reference calibration value of the reference sensor (26) is transmitted to the vehicle and / or provided to the vehicle, so that the current calibration value of the sensor (20) can be matched based on the reference calibration value. Overall, an improved method for calibrating the sensor (20) can be provided.

The invention relates to the technical field of industrial equipment state monitoring, in particular to an equipment state monitoring method and system based on automatic working condition calibration and multi-dimensional signal analysis. The full-link automatic closed-loop monitoring of the equipment operation state from calibration to diagnosis to abnormal response is realized, the real-time performance, accuracy and intelligent level of the equipment state monitoring process are remarkably improved, the problems of inaccurate working condition identification, single feature analysis dimension and insensitive abnormal state identification in the prior art are solved, and the method is suitable for popularization and application. The operation reliability of the equipment is practically improved, and the fault risk and the maintenance cost are reduced.

A sensor comprises a sensing unit and an adaptation unit. The sensing unit is configured to detect a measured quantity and generate a measurement signal representing the detected quantity. The adaptation unit is configured to determine at least one indicator for at least one environmental condition of the sensor and to adjust a manipulated variable that influences the measured quantity based on this at least one indicator for the at least one environmental condition of the sensor such that the ratio of the measurement signal generated by the sensing unit to the noise of the measurement signal lies within a predetermined range.

The invention relates to the technical field of sensor calibration, and discloses an intelligent calibration system and method for a sensor, and the system comprises a hardware integrated host, a main control module, a calibration data storage module, a communication interface module, a sensor type recognition module and PC end detection software. The method is applied to the system. According to the invention, through the multi-channel design of the hardware integrated host, convenient access and real-time calibration of multiple types of sensors are realized, and the time consumption of equipment switching is reduced; a segmented compensation model is matched through a sensor type identification module based on impedance characteristics and a voltage range, so that the problem of wide-temperature-range nonlinear compensation is solved, and the calibration precision of sensors such as platinum resistors and thermocouples is improved; the standard source data is integrated through the calibration data storage module and PC end detection software to generate a calibration report, and full-life-cycle data management and quality tracing are realized, so that the adaptability to various sensors is improved, and the calibration efficiency, the data consistency and the expandability are improved.

The invention provides an automatic sensor calibration management system and method based on data visualization, relates to the field of sensor calibration, and adopts a data analysis technology based on artificial intelligence to extract deep implicit features from temperature time sequence deviation data. The method comprises the following steps: firstly, generating a precise small-amplitude adjustment suggestion in combination with semantic coding characteristics of the calibrated temperature sensor, visually displaying the suggestion on a display screen, and finally, automatically calibrating the calibrated temperature sensor based on the calibration adjustment suggestion and a mechanical arm, similarly, referring to a calibration mode of the temperature sensor, and automatically calibrating the calibrated temperature sensor. And the humidity sensor and the pressure sensor are automatically calibrated. Therefore, the calibration efficiency and the intelligent level of the sensor can be effectively improved.

A measuring device may be used to measure a position of at least one current collector arranged in an articulated manner on a current collector trolley of a current collector unit relative to the current collector trolley. The measuring device may include at least one sensor unit having at least one sensor and may be arranged on the current collector trolley. A permanent magnet may be arranged on at least one of the current collectors The at least one sensor may be a Hall sensor whose sensor signal may be used in determining a position of at least one of the current collectors, which may be fitted with permanent magnets.

A micropore array grating temperature and pressure sensor disclosed by the present invention comprises an optical waveguide, a micropore array grating and a microcavity array grating, an optical transmission channel is arranged in the optical waveguide, and the micropore array grating and the microcavity array grating are formed in the optical transmission channel of the optical waveguide in parallel. The micropore array grating is communicated with the external environment, and the microcavity array grating is isolated from the external environment. The micropore array grating temperature and pressure sensor can avoid mutual influence of environment temperature and environment pressure during measurement so as to realize simultaneous measurement of different environment temperatures and different environment pressures. The invention also provides a preparation method and a test calibration method of the micropore array grating temperature and pressure sensor.

The invention relates to the technical field of encoders, and discloses a system and a method for recording and recovering a power failure position of a virtual multi-turn absolute value encoder. The system comprises: a virtual multi-turn absolute value encoder; the nonvolatile storage module is used for storing a multi-circle real-time record and a multi-circle actual numerical value of the recovery algorithm module at each power-off moment; the multi-turn real-time recording and recovery algorithm module comprises an initialization compensation unit and a real-time calculation recording unit, and the initialization compensation unit is used for reading the multi-turn actual numerical value of the multi-turn real-time recording and recovery algorithm module at the last power-off moment from the nonvolatile storage module in the power-on initialization stage and calculating the real-time calculation recording unit according to the multi-turn actual numerical value of the multi-turn real-time recording and recovery algorithm module. The real-time calculating and recording unit is used for calculating a multi-circle actual value at the current moment and a multi-circle position actual value at the current moment according to the multi-circle compensation value; and feeding back the actual value of the multi-circle position at the current moment to the external equipment and recording the actual value of the multi-circle position at the current moment into the nonvolatile storage module.

A mobile environmental sensor system includes a first mobile environmental sensor, a controller, and a network transmitter disposed on a transport unit. The controller is in electronic communication with the first mobile environmental sensor and the network transmitter. The controller includes a processor and a memory. The processor is configured to trigger a measurement from the first mobile environmental sensor. A sensed value is received from the first mobile environmental sensor. The processor compares the sensed value as received from the first mobile environmental sensor to a reference sensed value received by the controller via the network transmitter. The processor calibrates the first mobile environmental sensor based on the comparison of the sensed value as received and the reference sensed value as received. The calibration includes a normalization between the sensed value as received and the reference sensed value as received. The normalization includes a time dependent component.

Sensor calibration device (103) comprising: a base frame (201) comprising a primary base member (301) and a secondary base member (303) transversely secured to the primary base member (301) within a predetermined tolerance, the base frame (201) further comprising a first holder (307) and a second holder (309); a stand frame (203) operable to couple to the base frame (201) by engaging the first holder (307), the stand frame (203) comprising a hinge (507), a primary stand member (501), and a secondary stand member (503) transversely secured to the primary stand member (501) within a predetermined tolerance; a measuring frame (205) comprising a primary measuring member (701) and a secondary measuring member (703) secured transversely to the primary stationary member (501) within a predetermined tolerance, the measuring frame (205) being operable to couple to the stationary frame (203) such that the primary measuring member (701) is substantially parallel to the primary stationary member (501) within a predetermined tolerance; a cross member (207) configured for releasable coupling to the measuring frame (205), the cross member (207) being within a predetermined tolerance transverse to the primary measuring member (701) when coupled; a target (215) configured for releasable coupling to the cross member (207), the target (215) having a predetermined configuration suitable for sensor calibration; and a guide rail frame (209) operable to be releasably coupled to the base frame (201) by engaging the second holder (309), the guide rail frame (209) comprising a primary guide rail member (801) and a secondary guide rail member (803) transversely secured to the primary guide rail member (801) within a predetermined tolerance.

The invention relates to the technical field of heat-not-burn appliance testing, and provides a heat-not-burn appliance calibration method and device, an upper computer and a computer program product. The method comprises the following steps: acquiring each appliance parameter of the heat-not-burn appliance; detecting whether each appliance parameter meets a calibration condition or not; and if each appliance parameter meets the calibration condition, calibrating the heat-not-burn appliance. In the process, before the upper computer calibrates the appliance, whether the appliance parameters meet the calibration conditions or not is judged firstly, and the upper computer calibrates the appliance only when the appliance parameters meet the calibration conditions, so that the problem that the appliance parameters do not meet the calibration conditions in the appliance calibration process is avoided, and the calibration accuracy of the appliance is improved. Therefore, the situation of calibration failure of the appliance can be reduced, waste of operation time of production line staff is reduced, and the first pass yield of a production line is improved.

Aspects are provided for a connected monitoring device for monitoring and reporting measurements. The monitoring device includes a plurality of sockets, each socket configured to receive a smart probe including a memory storing calibration information for the smart probe. The monitoring device includes a touch screen display configured to display a current measurement based on a received input signal from the smart probe and the calibration information. The monitoring device includes a wireless modem configured to periodically transmit one or more measurements to a remote server via a wireless network.

The present invention relates to a self-calibration method for positioning of a light fixture and a light fixture. An absolute encoder for indicating the rotation angle of the light fixture and a driving device for driving the light fixture to rotate are included. The method includes steps of: S1. setting a plurality of preset positioning reference points around the circumference of the absolute encoder; driving the light fixture to rotate by the driving device and acquiring a corresponding first output value of the absolute encoder at each preset positioning reference point; S2. driving the light fixture to rotate by the driving device and acquiring a second output value of the absolute encoder, and when the second output value is equal to the corresponding first output value at a certain preset positioning reference point, taking the preset positioning reference point as a calibrated positioning reference point; and S3. positioning the light fixture according to the calibrated positioning reference point. According to the present invention, the light fixture does not need to rotate in a certain direction to a limit position to be stopped by colliding to find an initial position, which thus makes positioning fast, and avoids large noise due to colliding, thereby improving the experience of use.

In a described example, a position sensor can include a first magnetic field sensor unit having a first sensor output, a second magnet field sensor unit having a second sensor output, one or more coils having one or more footprints overlapping the first and second magnetic field sensor units, and a processing circuit having a first sensor input, a second sensor input, a current terminal, and a sensing output, the first sensor input coupled to the first sensor output, the second sensor input coupled to the second sensor output, and the current terminal coupled to the one or more coils.

A method and system of calibration of one or more sensors are provided in a given environment. In a reliable calibration phase, in a first time period after calibration of the sensor, the method determines an environment response function based on a known sensor response function. The environment response function is a spatio-temporal response of the environment representing the environmental response operating on the event to result in the measurand field. Subsequently, in an unreliable calibration phase, in a second time period after the first time period, the method estimates a current sensor response function based on the environment response function determined in the reliable calibration phase. The method outputs a calibration function based on the estimated current sensor response function for updating calibration of the sensor.

A management apparatus comprises: an acquisition unit that acquires first measurement information from a plurality of first sensors configured to measure a physical quantity related to environment in each of a plurality of areas, and acquires second measurement information from at least one second sensor configured to be mounted on at least one mobile object and to a measure physical quantity related to environment in each of the plurality of areas; an identification unit that identifies an abnormal area, where the physical quantity shows an abnormal value, based on each of the first measurement information and the second measurement information; and an authentication unit that authenticates that consistency between the first measurement information and the second measurement information is high when an abnormal area identified unit based on the first measurement information is an area identical to an abnormal area identified based on the second measurement information.

A method for calibrating a linearization function for correcting an output of a position sensor providing a continuous output position signal is described. The method adds a new linearization point to the linearization function by detecting the maximum error at the output of the position sensor and applying the new linearization function to the output of the position sensor and repeat the adding new linearization points until all available linearization points have been defined.

For an object having a plurality of sensors, motion measurement data of a first sensor of a pair of sensors and motion measurement data of a second sensor of the pair of sensors is transformed into a common coordinate system. Residual data for the transformations of the motion measurement data of the pair of sensors is determined by applying a distance function to the transformations of the motion measurement data. This is repeated for all unique pairs of sensors including the first sensor, and the residual data for each pair of sensors is collected in a residual motion vector data. A relative pose for the first and second sensors is determined based on the residual motion vector data. Sensor data of the first and second sensors may be adjusted based at least in part on the relative pose.

This invention relates to the field of position calibration technology, specifically to a method and apparatus for calibrating a position sensor for a motor. The method involves obtaining the absolute position information of the motor through feedback of a PWM signal; providing an orthogonal signal to the motor; providing an electrical angle of the motor in a first direction; recording a first relative angle fed back by the orthogonal signal; obtaining a first calibration mapping table mapping the first relative angle to the electrical angle based on the mapping relationship between the first relative angle and the electrical angle; and setting the first calibration mapping table as the calibrated mapping table for the position sensor to perform calibration. This invention solves the problems of existing sensor position calibration being easily affected by interference and inaccurate position information by utilizing the lag absolute angle fed back by PWM information to calibrate a relative angle with better real-time performance, thus avoiding missed steps.

A computer-implemented method of maintaining a deployed sensor unit is provided. The method receives (410) a raw sensor data stream from the deployed sensor unit (210). The method further receives (420) a set of calibration measurements associated with the deployed sensor unit, the set of calibration measurements being taken by a mobile reference sensor unit (220) whilst in proximity to the deployed sensor unit during a calibration period. The method determines (430) a drift of the deployed sensor unit based on the raw sensor data and the set of calibration measurements. The method further determines (440) whether the deployed sensor unit should be replaced based, at least in part, on the determined drift. The method schedules (460) a replacement of the deployed sensor unit in response to determining that the deployed sensor unit should be replaced and schedules (450) a further calibration of the deployed sensor unit in response to determining that the deployed sensor unit should not be replaced. The further calibration is to be undertaken by a mobile reference sensor unit whilst in proximity to the deployed sensor unit during a further calibration period to take a further set of calibration measurements.

Sensor calibration device (103) comprising: a base frame (201); a stand frame (203) operable to couple to the base frame (201) such that the stand frame (203) is within a predetermined tolerance transverse to the base frame (201); a measuring frame (205) comprising a primary measuring member (701) and a secondary measuring member (703) mounted transversely to a primary stationary member (501) within a predetermined tolerance, the measuring frame (205) being operable to couple to the stationary frame (203) such that the primary measuring member (701) is substantially parallel to the primary stationary member (501) within a predetermined tolerance; a mounting support (213) comprising an elongated member, the mounting support (213) being operable for releasably coupling to the measuring frame (205) such that the mounting support (213) is parallel to the primary measuring member (701) within a predetermined tolerance; a cross member (207) configured for releasable coupling to the mounting support (213); and a target (215) configured for releasable coupling to the cross member (207), the target (215) having a predetermined configuration for sensor calibration; wherein the sensor calibration device (103) is operatively mounted when the target (215) is coupled to the cross member (207), the cross member (207) is coupled to the mounting support (213), the mounting support (213) is coupled to the measuring frame (205), the measuring frame (205) is coupled to the stand frame (203), and the stand frame (203) is coupled to the base frame (201).

A method, an unmanned mobile entity and a computer program are provided for evaluating a performance of a first sensor unit which is arranged to measure a physical property of its environment at a location. An unmanned mobile entity transports a reference sensor unit to the location and the reference sensor unit is arranged to measure the physical property at the location. The performance of the first sensor unit is evaluated based on a comparison of the measurements of the first and reference sensor units.

The invention relates to a method for calibrating an orientation / position sensor with which the orientation / position of a component of an equipment of a mobile working machine can be detected, with the following method steps: - at least two orientations / positions of the equipment component are selected and the distance of the at least two orientations / positions from one another is predetermined; - the at least two orientations / positions of the equipment component are identified independently of the orientation / position sensor; - a calibration parameter for the orientation / position sensor is determined from the signals emitted by the orientation / position sensor in the at least two orientations / positions of the equipment component and the predetermined distance of the at least two orientations / positions.

The invention relates to a method for operating a sensor (3) in a vehicle (1), wherein vehicle electronics (2) of the vehicle (1) measure at least one parameter of a traffic object (5, 5') different from the vehicle (1) by means of the sensor (3), and output at least one measured value on the basis of a sensor setting, and wherein the vehicle electronics (2) receive at least one data set from at least one traffic object (5, 5') different from the vehicle (1). The vehicle electronics (2) determine or calculate at least one comparison value of the parameter on the basis of the at least one data set, and the sensor setting is calibrated on the basis of the comparison value.

A sensor circuit (620) for measuring physical quantities, comprising: a signal acquisition circuit (640) including sensors (621, 622) for providing input signals (v1, v2) related to the physical quantity; and a processing circuit (650) for receiving the input signals (v1, v2) and providing an output signal (θ) representing the physical quantity. 校正 The processing circuitry includes a closed loop comprising: a first sub-circuit (660) arranged to receive the input signals (v1, v2) and feedback signals (fbi, fbq), and configured to provide a first signal (θ). 估计 ); a frequency correlation filter (632) for receiving and filtering the first signal (θ) 估计 ), and is used to provide the output signal (θ) 校正 ); a second sub-circuit (670), which is used to receive the filtered signal (θ) 校正 ) and use a nonlinear function to filter the signal (θ) 校正 ) are converted into the feedback signals (fbi, fbq).