20 results about "Zero drift" patented technology

The invention provides an MEMS acceleration sensor null drift determination method and device and a terminal, and relates to the technical field of MEMS acceleration sensors. According to the invention, the first accelerometer and the second accelerometer which are relatively fixed in position and different in measuring range are arranged and synchronously move in the use process, and the real-time zero-offset drift distance of the wide-range accelerometer is determined based on the difference between the monitoring values of the small-range accelerometer and the wide-range accelerometer by utilizing the accuracy of the small-range accelerometer. Therefore, the wide-range accelerometer can be corrected in real time by using the zero-offset drift amount, and the accuracy of the measured value of the acceleration sensor is improved in a relatively wide range. In addition, the two accelerometers move synchronously in the using process, the two accelerometers are the same in environment and inclination angle, the zero offset drift distance of the large-range accelerometer is determined based on the monitoring value of the small-range accelerometer, the influence of environment vibration can be avoided, the influence of gravity components of the inclination angles of the accelerometers can also be avoided, and the accuracy of determining the zero offset drift distance is improved.

The invention discloses a multi-modal load prediction computing power center dynamic energy-saving scheduling method and system, and relates to the technical field of energy-saving scheduling, and the method comprises the following steps: executing long-tail fractal filtering based on service load data in a steady state for a long time in a computing power center, extracting a steady-state energy spectrum, and constructing a zero-drift contrast base plane; applying micro-amplitude random phase disturbance on the zero-drift contrast base plane, and enhancing weak disturbance characteristics in the steady-state energy spectrum in combination with an entropy gradient amplification strategy; and converting the enhanced precursor micro-fluctuation characteristics into a time sequence difference energy cloud picture. According to the method, zero-drift contrast base surface enhancement perturbation identification is constructed, and multi-scale energy analysis and Bayesian confidence correction are combined, so that accurate prediction and quantification of the burst load are realized; during surge triggering, a fractal slicing and low-power-consumption parallel scheduling strategy is adopted, high response is ensured, meanwhile, energy consumption is reduced, and the method is suitable for a computing power center scene with high performance and energy efficiency requirements.

The invention discloses a visual tactile sensor zero drift compensation method, device, equipment and program product. The method comprises the following steps: acquiring a tactile measurement value and an acceleration value of a visual tactile sensor; determining a zero drift error value of the visual tactile sensor according to the acceleration value and a preset zero drift detection model, and performing error compensation on the tactile measurement value according to the zero drift error value to obtain a tactile output value; or inputting the tactile measurement value and the acceleration value into a tactile perception model based on tactile input and acceleration joint optimization to obtain a tactile output value. According to the invention, zero drift compensation can be carried out on non-contact deformation of the elastic body caused by inertia force or direction-changing gravity, so that the measurement precision of the visual tactile sensor is improved, and the method can be applied to the technical field of sensors.

The application is suitable for the technical field of Hall sensor correction, and provides a Hall sensor correction method and an energy storage system.The Hall sensor correction method comprises the following steps: when a to-be-measured loop is switched from a pass-through state to an open-circuit state, in a process of environmental temperature drop, the measurement values of a target Hall sensor at multiple time points and a first environmental temperature are collected; the target Hall sensor is used for measuring a physical quantity of the to-be-measured loop; based on the measurement values at the multiple time points and the first environmental temperature, a zero drift correction table of the target Hall sensor is updated; the zero drift correction table comprises multiple preset second environmental temperatures and first zero drift correction values corresponding to each second environmental temperature respectively; when the to-be-measured loop is in the pass-through state, the target Hall sensor is corrected based on the zero drift correction table.The application can make the Hall sensor always correct through the latest zero point drift corresponding to the current temperature, thereby improving the accuracy of the measurement result of the Hall sensor under very low temperature.

The invention discloses a sensor zero drift calculation system and method based on small sample experiment data, and belongs to the technical field of ship power system monitoring and state prediction. The system for calculating the zero drift of the sensor based on the small sample experimental data comprises an accelerated degradation test module, a physical model parameter identification module, a real-time data acquisition module, an accumulated damage calculation and drift prediction module and a drift compensation and output module. The performance zero drift calculation system comprises a temperature sensor, a pressure sensor and the like. According to the invention, based on small sample accelerated degradation experiment data and in combination with an Arranius physical model, quantitative prediction and real-time compensation are carried out on cumulative performance drift of the sensor caused by long-term working at different operating temperatures. According to the method, the physical model and the data model are subjected to hybrid modeling, and the advantages of real-time adaptive prediction of sensor drift, low modeling cost, high physical fidelity and accurate prediction are realized.

The application discloses a power center dynamic energy-saving scheduling method and system for multi-modal load prediction, relates to the technical field of energy-saving scheduling, and comprises the following steps: based on the business load data of the power center in a stable state for a long time, performing long-tail fractal filtering, extracting the steady-state energy spectrum, and constructing a zero-drift reference surface; applying a small random phase disturbance to the zero-drift reference surface, and combining an entropy gradient amplification strategy to enhance the weak disturbance characteristics in the steady-state energy spectrum; and converting the enhanced precursor microwave fluctuation characteristics into a time series difference energy cloud chart. The application enhances micro-disturbance identification by constructing a zero-drift reference surface, combines multi-scale energy analysis and Bayesian confidence correction, realizes accurate prediction and quantification of sudden load, adopts fractal slicing and low-power parallel scheduling strategies when the load surges, ensures high response while reducing energy consumption, and is suitable for power center scenes with high performance and energy efficiency requirements.

This invention proposes an online gyroscope zero-drift calibration method, apparatus, and readable storage medium based on the steady-state of the position loop of a servo system. The method is applied to a servo system containing position and velocity closed loops. The position closed loop is set to a pure proportional (P) control mode. The servo system is controlled to move from a first motion direction and an opposite second motion direction to the same position reference point, reaching first and second steady-state states respectively in P control mode. The first and second steady-state position deviations are acquired and recorded. Finally, the first and second steady-state position deviations are averaged, and the gyroscope zero-drift value is determined based on the average deviation value and the proportional gain of the position loop. This invention utilizes a bidirectional approximation averaging method, mathematically eliminating the interference of static friction of the servo system on the calibration results. It achieves online, high-precision, and interference-resistant gyroscope zero-drift calibration without external equipment and provides a closed-loop verification mechanism.

The invention provides a high-precision servo drive analog quantity zero drift calibration method, which is applied to the technical field of servo system zero drift calibration, and is characterized in that a specific analog quantity control signal is utilized to drive a servo motor in an analog quantity servo control system to rotate, and the variation of the position of the servo motor is obtained based on an encoder; and the integral of the specific analog quantity control signal within a certain time is a fixed value to carry out online calibration on the comprehensive null drift of the analog quantity servo control system. The calculation formula is shown in the specification, the comprehensive null drift, the initial position of the encoder and the end position of the encoder are included, and A is the integral of the analog quantity control signal within a certain time t. Based on an existing analog quantity servo control system, additional physical components do not need to be added, and the comprehensive null drift of an analog quantity signal generating end and an analog quantity signal receiving end can be conveniently, rapidly and online calibrated in real time at the same time.

This invention discloses a method, apparatus, device, and storage medium for determining zero-drift current. The method includes: acquiring the voltage curve of the power circuit when the current is zero during the power-on phase, measured by a sensor; sampling the voltage curve to determine a sequence of estimated zero-drift current values; using the estimated zero-drift current values ​​in the sequence to determine the median zero-drift current estimate and the average zero-drift current estimate; under a first condition, using the median zero-drift current estimate as the zero-drift current; and under a second condition, using the average zero-drift current estimate as the zero-drift current. Using the proposed method, the zero-drift current can be accurately determined. Furthermore, this method is applicable to zero-drift compensation in different scenarios, exhibiting strong versatility.

The application discloses a zero drift automatic compensation method, device and system of a breathing machine and a medium. The method comprises the following steps: acquiring an end-expiratory volume of the breathing machine, confirming whether a flow rate baseline deviates from zero according to the end-expiratory volume, when the flow rate baseline deviates from zero, dynamically adjusting a current AD offset according to the end-expiratory volume, and compensating the collected flow rate AD value according to the adjusted AD offset, converting the compensated flow rate AD value into a compensated flow rate, reacquiring a new end-expiratory volume based on the compensated flow rate and confirming whether the flow rate baseline deviates from zero, if the flow rate baseline deviates from zero, continuously dynamically adjusting the AD offset until the flow rate baseline returns to zero. The AD offset is dynamically adjusted by the end-expiratory volume to realize flow rate compensation, without the need of reverse lookup table of flow rate to AD value, so that the deviation of the end-expiratory flow rate in a stable state can be corrected, and the flow rate deviation efficiency is effectively improved.

The embodiment of the application belongs to the technical field of force sensing, and relates to a method, device and equipment for online elimination of zero drift of a force / tactile sensor. The method comprises the following steps: obtaining a current physical field during measurement of external force on an object by the force / tactile sensor; obtaining a similarity index between the current physical field and an unloaded physical field; judging whether external force is currently loaded based on the similarity index; if it is judged that no external force is loaded, replacing the unloaded physical field with the current physical field to obtain an updated unloaded physical field; and if it is judged that external force is loaded, repeating the above method steps. The technical scheme adopted by the application can effectively eliminate zero drift of the sensor.

The application discloses a force balance hemispherical resonator gyro zero drift compensation method and device, electronic equipment and computer readable storage medium, and the method comprises the steps of setting the hemispherical resonator gyro in a force balance mode, pushing the mode azimuth to a damping simple vibration axis, and making the sensitive axis of the hemispherical resonator gyro vertically upward; changing the environment temperature of the hemispherical resonator gyro; collecting the gyro circuit temperature, the measured resonant frequency and the zero drift output measurement value in real time; constructing a regression model according to each circuit temperature and the corresponding measured resonant frequency and zero drift output measurement value; solving the regression model to obtain fitting parameters; substituting the fitting parameters into a zero drift output compensation model; and calculating the compensated zero drift output value according to the zero drift output compensation model. The circuit sampling temperature reflects the amplification difference of the circuit, and the zero drift is estimated and compensated simultaneously according to the two characteristics, so that the compensated gyroscope can basically inhibit the influence of the zero drift.

The application discloses an ultra-high precision zero drift optimization method based on fiber loop tail fiber strain control, and belongs to the field of fiber optic gyroscope and optical measurement technology. Its characteristics are: under a certain temperature change rate, using polarization maintaining OFDR combined with multi-parameter decoupling technology to test the temperature and thermal strain in the loop; performing loop zero drift prediction to obtain the zero drift value of each temperature point; setting the length of strain control, adjusting the tail fiber value in the test data, calculating the strain control value and direction of each temperature point; under the same temperature condition, using the electric control tension platform to apply the corresponding temperature point strain in the corresponding direction to accurately correct the zero drift of each temperature point. The method realizes ultra-high precision full-temperature zero drift optimization through active tail fiber strain control, and can theoretically achieve quantitative ultra-high precision (10 ‑5 order of magnitude) zero drift optimization, and can be used for development of an ultra-high precision gyro system, online zero drift compensation, and plays an important role in performance improvement of the gyro system.

This application discloses a zero-point drift correction method, apparatus, device, and storage medium, applied to an ultrasonic gas device. The ultrasonic gas device includes a timing module, a first counting module, a second counting module, and an accumulation module. The method includes: activating the correction function of the ultrasonic gas device based on an interrupt signal from the timing module, controlling the ultrasonic gas device to be in a target sampling mode; determining the flight time difference based on the upstream flight time and downstream flight time; acquiring the first count value from the first counting module, the second count value from the second counting module, and the accumulated value of the flight time difference from the accumulation module; compensating the flight time difference based on the first count value and / or the second count value, the flight time difference, the accumulated value of the flight time difference, and a preset compensation parameter to obtain the target flight time difference, thereby ending the correction function, controlling the ultrasonic gas device to exit the target sampling mode, and setting the zero-point drift correction task status to a correction completion state.

The application belongs to the technical field of analog integrated circuits, and discloses a zero drift architecture of an improved chopping plus self-stable zero structure. The zero drift architecture comprises two loops, and the two loops are in a ping-pong mode. The loop comprises an operational amplifier AMP1, an operational amplifier AMP2, a clock switch group and a dummy switch, and the operational amplifier AMP1 and the operational amplifier AMP2 are electrically connected. The clock switch groups of the two loops are strictly non-overlapping with each other. The clock switch group comprises a switch d1 and a switch d2, the on-off states of the switch d1 and the switch d2 are opposite, the clocks of the switch d1 and the switch d2 are in a complementary relationship, and the dummy switch corresponds to the switch d2. In the prior art, the LPF compresses the signal bandwidth and cannot completely eliminate the high-frequency glitches. At the same time, the residual offset (tens of nV to hundreds of nV) is caused, and the absolute zero offset cannot be realized. Compared with the prior art, the application realizes the direct current precision close to zero offset and the low-ripple output signal, does not sacrifice the signal bandwidth, and reduces the design difficulty of the subsequent circuit.

The invention discloses a zero drift compensation method of an MEMS gyroscope, which comprises the following steps: Kalman filtering processing is carried out on output data of the MEMS gyroscope, and a state estimation equation adopted in the Kalman filtering processing process can also be called as an optimal estimation value at the moment k and can also be called as a state estimation quantity at the moment k-1, zk is an observed quantity at the moment k, and zk is an observed quantity at the moment k-1; k is a predetermined constant, and the determination mode of K is as follows: the MEMS gyroscope is arranged on a fixed test platform; kalman filtering processing is carried out on output data of the MEMS gyroscope, and a state estimation equation adopted in the Kalman filtering processing process is as follows: respectively representing state estimators at moments k and k-1, zk is an observed quantity at the moment k and is input of a Kalman filter, H is a conversion matrix from a state variable to an observed variable, and Kk is a variable; representing a Kalman gain generated by iteration in a Kalman filtering processing process; and if it is judged that the Kalman gain Kk generated by iteration converges to a fixed value within a predetermined interval, the fixed value is regarded as K.

The invention discloses a gas sensor zero drift compensation method based on a Koopman operator, and belongs to the technical field of sensor data processing, and the method specifically comprises the steps: collecting and processing an original output curve of a gas sensor, constructing a state matrix and a time migration state matrix, carrying out the feature extension through a plurality of primary function combinations, and carrying out the zero drift compensation of the gas sensor. The method is used for solving a finite-dimensional approximate matrix of a Koopman operator, calculating a prediction state matrix of a next sliding window, reversely mapping the prediction state matrix back to an original space, taking the prediction state matrix as zero drift data, and deducting the zero drift data from a real-time output curve of the gas sensor to complete zero drift compensation of the gas sensor. The method is remarkably superior to a traditional compensation method in the aspects of compensation precision, universality, real-time performance, stability and the like, and an efficient and reliable solution is provided for solving the problem of zero drift of the gas sensor.

The invention discloses a zero drift correction type gas collection method and device based on environmental compensation, and the method comprises the steps: presetting empirical parameters of zero correction, the empirical parameters comprising datum reference data, a preset compensation threshold value, a channel switching condition and a re-calibration threshold value; the method comprises the following steps: acquiring current original data and beacon frames of each Zigbee channel through an upper computer, issuing a target calibration point through the upper computer, and reading back an ADC original code of the target calibration point; and performing zero correction operation based on the empirical parameters. By presetting empirical parameters, after the original data, the beacon frame and the ADC original code are obtained, the zero point correction operation is executed, zero drift compensation, channel switching operation and two-point automatic re-calibration are realized, and the problem that the existing gas analyzer is not accurate in calibration during pilot scale test is effectively avoided. The zero-point voltage drift of the gas concentration sensor is caused by the fluctuation of the environment temperature and humidity, and the continuous calibration fails due to the channel interference.

The invention discloses a mining area water quality multi-parameter test method and system based on a water quality sensor group, and the method comprises the steps: S1, evaluating the zero drift and range drift of the water quality sensor group, and obtaining a zero drift rate alpha, a zero drift amount delta Zi and a range drift confidence interval CI; s2, compensating the zero drift value of the water quality sensor group based on the zero drift amount delta Zi to obtain a compensated zero drift amount Zi '; s3, constructing a multi-modal performance attenuation function D (t) and a Weibull distribution failure probability model Pf (t), and determining the calibration period, the failure standard and the remaining service life of the water quality sensor group according to the multi-modal performance attenuation function D (t) and the Weibull distribution failure probability model Pf (t); s4, monitoring the water quality of the mine in real time, calibrating the water quality sensor group according to the calibration period and the failure standard obtained in the S3, and monitoring the water quality of the mine in real time by adopting the calibrated water quality sensor group to obtain a multi-parameter water quality analysis result; the technical problem of low accuracy of a mining area water quality multi-parameter test analysis method in the prior art is solved.

The invention discloses a graded early warning method and system based on pressure trend analysis and null drift discrimination, and relates to the technical field of intracranial pressure monitoring. The method comprises the steps that pressure data of the intracranial pressure monitoring equipment are collected in real time to obtain a pressure data sequence, and the running state of the intracranial pressure monitoring equipment is obtained; performing trend analysis on the pressure data sequence to obtain a change trend result; performing null drift correction processing on the pressure data sequence to obtain a corrected pressure data sequence; and performing early warning on the intracranial pressure state according to the change trend result and the corrected pressure data sequence. According to the method, the problem of early warning lag caused by lack of trend pre-judgment in traditional monitoring is solved, false alarm caused by signal drift is avoided through zero drift correction, and the accuracy of intracranial pressure early warning is improved.