33 results about "Zero drift" patented technology

The invention relates to the technical field of sensors, and discloses a zero drift calibration method and device for a sensor and a computer readable storage medium, and the method comprises the steps: obtaining environment information data of a target sensor; wherein the environment information data comprises gas concentration, environment temperature and humidity and illumination intensity; determining whether to perform zero drift calibration on the target sensor according to the acquired environment information data; and under the condition of determining to perform zero drift calibration on the target sensor, according to the real-time gas concentration of the target sensor, calculating to obtain a zero drift reference value so as to calibrate the measurement value of the calibration target sensor. According to the method, the environment information data is used as a basis for judging calibration, so that the reliability of calibration can be improved. When the reliability of environmental data is high, zero drift calibration is carried out based on the real-time gas concentration, and the calibration precision is ensured. Therefore, the sensor can realize automatic calibration, and the calibration accuracy is ensured.

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 invention discloses a measurement control method, a control module and a control system.The measurement control method comprises the steps that a Coriolis flow meter is controlled to conduct pre-operation, two paths of first collection signals of the Coriolis flow meter in the pre-operation process are obtained, and the Coriolis flow meter is controlled to conduct re-operation; zero compensation is conducted on two paths of second collection signals of the Coriolis flowmeter in the re-operation process based on the two paths of first collection signals, and the mass flow is calculated based on the zero compensation result. According to the measurement control method, the control module and the control system, the Coriolis flow meter is pre-operated, the first acquisition signal in the pre-operation process is recorded, the zero drift condition of the Coriolis flow meter in the early working stage is obtained, the zero drift condition comprises the influence caused by various factors such as temperature and machinery, and then when the Coriolis flow meter is started again, the first acquisition signal is acquired. Therefore, zero compensation can be comprehensively carried out in real time based on the known zero drift condition, so that the real flow condition of the flow tube is accurately tracked, and the measurement accuracy is ensured.

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 provides a zero compensation method, a zero compensation device and zero compensation equipment for an MEMS (Micro Electro Mechanical System) gyroscope and a storage medium. The method comprises the following steps: respectively acquiring zero data of the MEMS gyroscope at different temperatures; optimizing the distribution position of each interpolation point according to a preset number of interpolation points and a preset fitting error range to obtain an optimal distribution position of each interpolation point; based on the optimal distribution position of each interpolation point, performing spline interpolation on the zero data of the MEMS gyroscope at different temperatures, and fitting to obtain a zero drift polynomial; and determining current zero data of the MEMS gyroscope according to the current temperature of the MEMS gyroscope and the zero drift polynomial, and determining a zero compensation value according to the current zero data. According to the invention, high-precision zero compensation can be realized, and the calculation and storage cost can be reduced.

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.

The present invention belongs to the field of piezoelectric actuator characteristic measurement, and relates to a method for modeling and compensating dynamic composite hysteresis of a piezoelectric actuator under a time-varying large load. A dynamic hysteresis characteristic test system of the piezoelectric actuator is built to collect load and displacement signals. Based on the improved asymmetric slope Prandtl-Ishlinskii algorithm, the asymmetry and zero drift characteristics of the hysteresis loop are modeled, the static hysteresis loops of force-displacement and voltage-displacement are fitted, and superimposed into a static composite hysteresis model; aiming at the wide-frequency excitation requirement of the actuator, a dynamic composite hysteresis model is established, and an ASPI parameter controller is designed based on the LSTM algorithm to dynamically regulate the slope and threshold of the model; a fault tolerance mechanism of the parameter controller is designed to constrain the model instability caused by mutation disturbance and control overshoot, and ensure high-precision real-time hysteresis prediction; by solving the inverse model of the dynamic composite hysteresis model and inputting the desired displacement, the calculation of the real-time control voltage and the compensation of dynamic hysteresis are realized.

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 belongs to the field of geometric quantity measurement, and discloses a compensation method for zero drift in the preheating process of a laser tracker. The method comprises the following steps: firstly, synchronously measuring temperature and reference point coordinates so as to calibrate a zero drift curve of a laser tracker measurement coordinate system; secondly, establishing a correlation function of the surface temperature difference and the zero drift curve of the laser tracking instrument by using a polynomial fitting method; and finally reconstructing the transformation matrix and compensating the zero drift of the starting preheating process of the laser tracker every time. The compensation method can effectively compensate zero drift in each preheating process, can improve the precision and stability of measuring point coordinates, can be applied to reference coordinate zero drift compensation in large component manufacturing under the condition of rapid preheating, and serves any measurement scene where a laser tracker needs to be used.

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.

A direct wind measurement radar zero point position real-time correction method and a wind measurement laser radar system, comprising obtaining coherent detection channel data, first direct detection channel data and second direct detection channel data; inverting the coherent detection channel data to obtain corresponding first direct detection ideal data and second direct detection ideal data; fitting the first direct detection ideal data and the first direct detection channel data to obtain a first preliminary correction value under each range gate, and fitting the second direct detection ideal data and the second direct detection channel data to obtain a second preliminary correction value under each range gate; correcting the first direct detection channel data using a first final correction value screened from the first preliminary correction value under each range gate, and / or correcting the second direct detection channel data using a second final correction value screened from the second preliminary correction value under each range gate. The measurement error of the direct wind measurement laser radar caused by zero point drift is corrected.

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 present invention provides an online zero drift correction method for an ultrasonic water meter, and belongs to the technical field of water meter error correction. A new U-shaped ultrasonic water meter structure with an inlet valve and an outlet valve is proposed. The zero drift calibration signal is sent through a host computer platform according to a certain time period. After the ultrasonic water meter receives the calibration signal, the zero drift calibration process is started in real time, which is convenient and quick. During the measurement process, in order to create a static water measurable environment, the switch of the two valves and the calculation of the uplink and downlink time are used to fully eliminate the influence of pipeline bubbles and the like on the zero drift measurement. The present invention realizes systematic measurement of zero drift problems caused by transducer aging and surface contamination through simple structural design and algorithm, realizes online periodic measurement of zero drift values ​​and compensation, fully solves the problem of decreased measurement performance and accuracy of ultrasonic water meters after running for a period of time, and can further improve the metering accuracy during the long-term operation of the water meter.

The present application discloses a method, device and electronic device for zero drift correction of a gravimeter, belonging to the field of gravimeter correction. The method for zero drift correction of the gravimeter includes: obtaining standard comparison data and actual monitoring data of the gravimeter; determining a plurality of differences between the actual monitoring data and the standard comparison data; determining whether there are inflection points among the plurality of differences; if there are no inflection points among the plurality of differences, correcting the plurality of differences; if there are inflection points among the plurality of differences, using the inflection points as demarcation points and respectively correcting the differences on both sides of the demarcation points.

The present invention discloses a geodetic surveying method based on two-way round-trip zero drift rate correction of a gravimeter, relates to the technical field of surveying and mapping, and is used to solve the problem that a surveying path may be affected by factors such as the environment, and that the zero drift error of a gravimeter may gradually accumulate over time, resulting in systematic deviations in measurement data, which requires regular correction. The method comprises collecting analysis data required for the surveying path, including the symmetry of the path and the real-time environment of the path, pre-processing the data and storing the data in a database; retrieving data from the database to respectively evaluate the symmetry and real-time environment of the path; and using TOPSIS to comprehensively analyze the symmetry and real-time environment of the path, thereby selecting a suitable surveying path. By real-time monitoring of the zero drift rate of the gravimeter, setting a reasonable threshold, and dynamically adjusting the regular correction time according to the zero drift rate, the accuracy and reliability of gravity measurement data can be effectively improved.

The invention provides an audio playing method and system based on calibration, head-mounted equipment and a storage medium, and relates to the field of audio processing. The calibration-based audio playing method is applied to a processor of the head-mounted device. The head-mounted device is connected with at least one wireless device through wireless communication, and the calibration-based audio playing method comprises the following steps: determining relative azimuth information between the head-mounted device and the wireless device based on the wireless communication connection between the head-mounted device and the wireless device; calibrating a null drift parameter of the IMU based on the relative azimuth information; the zero drift parameter is a parameter influenced by zero drift; acquiring a current calibration pose of the head-mounted device from the IMU after the zero drift parameter is calibrated; and according to the current calibration pose, adjusting orientation features in audio data to be played and sending the orientation features to the loudspeaker for playing. The calibration-based audio playing method is beneficial to improving the three-dimensional effect of audio data playing.

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 aims to provide a null drift correction method for a pressure sensor of a DCT (Discrete Cosine Transformation) transmission, which aims to overcome the corresponding defects in the prior art, and comprises the following steps of: setting a plurality of variable quantity thresholds and a plurality of pressure calculation formulas, and comparing the variable quantity of a voltage value of the pressure sensor of the DCT transmission with the variable quantity thresholds, so as to correct the null drift of the pressure sensor of the DCT transmission. According to the comparison result, the pressure of the clutch is calculated through a pressure calculation formula, the output result of the pressure sensor can be corrected, no additional correction element needs to be additionally arranged, in other words, the cost of the whole vehicle is not increased, the pressure error (within the altitude range of 0-5000 m) generated due to the influence of the altitude can be reduced to the maximum extent, and the reliability of the whole vehicle is improved. And the maximum value of the pressure error is not greater than or equal to 0.5 bar, so that the problem that the output precision of the pressure sensor is reduced due to null drift abnormity of the pressure sensor in the DCT transmission in negative pressure environments such as high altitude and the like is effectively solved.

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.