128results about How to "Reduce calibration costs" patented technology

The invention discloses a vehicle work order verification method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining a work order picture detection result and a work order text extraction result corresponding to a to-be-verified vehicle work order; carrying out alias conversion processing on the work order text extraction result based on a pre-configured alias library to obtain a converted work order text extraction result; performing data consistency verification based on the work order picture detection result and the converted work order text extraction result to obtain an image-text data verification result; and extracting image features and text features from the image-text data verification result, and determining a reexamination verification result of the to-be-verified vehicle work order based on the image features and the text features. According to the embodiment of the invention, work order verification can be automatically carried out, the verification cost is reduced, and the verification efficiency and the accuracy of the verification result are improved.

The invention discloses a three-dimensional reconstruction method based on linear structure light spot set monomer kinematics calibration, and the method comprises the steps: enabling an area-array camera and a linear structure light emitter to be rigidly combined, and enabling the area-array camera and the linear structure light emitter to be installed on a motion platform; calibrating structural parameters of a motion platform of the measuring device by using the radius standard value of the standard ball and the linear structured light scanning data; calibrating the spatial position relation of the line scanning point set by taking the calibrated center position of the standard ball and the standard radius of the standard ball as constraints; controlling the five-axis motion platform to move and acquiring scanning data of the measured piece under different poses; and the scanning data and the real-time point cloud calibration matrix are utilized to complete the multi-pose scanning high-quality three-dimensional model reconstruction of the measured piece. The system comprises a device fixing module, a calibration module, a point cloud calibration module, a scanning module and a point cloud reconstruction module. According to the invention, the reconstruction precision of the line structured light three-dimensional point cloud model can be improved. The method can be widely applied to the field of three-dimensional reconstruction.

The utility model relates to the technical field of pipeline settlement detection, in particular to a pipeline settlement detection device which comprises a pipeline supporting assembly, the pipeline supporting assembly comprises a pipeline base, a hoop is fixedly arranged at the top of the pipeline base, the hoop comprises two pipe clamps which are symmetrically connected in an abutting mode, a pipeline is arranged in the hoop, and the pipeline is arranged on the pipeline base. Bolts are arranged on the hoop to fasten the two pipe clamps, mounting through holes are vertically formed in wing plates at the two ends of the hoop, detection assemblies are arranged in the mounting through holes, and limiting protection shells are arranged outside the detection assemblies; according to the pipeline settlement detection device, the position of the pipeline is detected through the detection assemblies arranged at the two ends of the underground pipeline supporting assembly, data transmission is conducted through the displacement sensor, detection is conducted in combination with a computer, manual work, station arrangement, observation and recording are not needed in the measurement process, the influence of weather conditions is avoided, and the detection efficiency is improved. The device is high in detection efficiency, simple in structure, low in cost and low in maintenance and calibration cost.

The invention provides a bus-based inertial measurement unit batch calibration method and system, and the method comprises the steps: placing inertial measurement units under different temperature conditions, executing a calibration test of preset attitude change and preset angular velocity change under each temperature condition, and obtaining test data; transmitting test data of all the inertial measurement units to a calibration system in batches through a bus; in the calibration system, obtaining test data of each inertial measurement unit according to the storage path, and calculating calibration parameters of each inertial measurement unit based on the test data; and downloading the generated calibration parameters to each inertial measurement unit in batches through a bus. According to the invention, the bus is adopted to calibrate the inertial measurement units in batches, so that the limitation of the traditional serial communication interface on the data transmission rate and the connection number is overcome, the calibration period is remarkably shortened and the calibration cost is reduced by improving the calibration efficiency and scale, and powerful support is provided for the large-scale production and application of the IMU.

The invention belongs to the technical field of semiconductor equipment calibration, and particularly relates to a wafer position error detection method and a wafer position error detection device, which are characterized in that a single position detection sensor is arranged on the side of a wafer transmission path so as to record and scan the non-circle center chord length and the endpoint position of the non-circle center chord length on a wafer; meanwhile, the position of the standard wafer is used as a reference standard system, so that the position coordinates of the end point positions, scanned by the position detection sensor, of the standard wafer and the to-be-detected wafer in the reference coordinate system are restored, and the deviation value of the circle center of the to-be-detected wafer in the second cavity and the circle center of the standard wafer is obtained; the position of the wafer to be measured is calibrated according to the deviation value, so that the process quality of wafer manufacturing can be improved; compared with a multi-sensor detection scheme, the wafer position calibration can be realized only by adopting a single position detection sensor, the calibration cost is lower, and replacement and maintenance are easy.

The invention discloses an intelligent plunger pump fault diagnosis system and a diagnosis method, which realize accurate monitoring of the tilt angle of a swash plate, can adjust and accurately control the output flow of a pump in real time in combination with a built-in control operation unit, and meanwhile, outputs pressure data in cooperation with a proportional pressure reducing valve, and compares the pressure data with a threshold value in a first fault diagnosis module, so that the fault diagnosis accuracy is improved. Judging whether a proportional pressure reducing valve and a variable adjusting mechanism of the pump are abnormal or not; and in cooperation with shell pressure data, whether the leakage amount of the pump is abnormal or not is judged by comparing the pressure data with a threshold value in the second fault diagnosis module, and faults caused by flow fluctuation or abnormality are effectively prevented. And whether the volumetric efficiency of the pump is too low or not is judged by comparing with a threshold value in the third fault diagnosis module, so that the universality and accuracy of a volumetric efficiency diagnosis algorithm are remarkably improved.

The invention discloses an MEMS three-axis gyroscope thermal drift error calibration method based on segmented calibration, which comprises the following steps: forming an inertial system by using a three-axis accelerometer and a gyroscope, rotating an inertial unit according to a designed rotation scheme by using a low-cost indexing mechanism, and collecting data of the three-axis gyroscope and the accelerometer in a temperature rising process; and carrying out segmentation processing on rotation data in the temperature rise process, calibrating each piece of segmented data in a proposed 24-dimensional system state, and finally obtaining a zero-offset temperature drift curve of the MEMS gyroscope and a temperature drift curve of a non-orthogonal transformation matrix component. According to the method, the application precision of the MEMS three-axis gyroscope is improved, the calibration cost is reduced, and the positioning precision of intelligent mobile terminals such as an unmanned aerial vehicle and a mobile robot can be improved.

The invention provides a structure multi-parameter rapid calibration method capable of simultaneously meeting multi-scene operation requirements, and belongs to the field of structure design, and the method comprises the steps: S1, inputting a multi-parameter initial value of a to-be-calibrated structure; s2, successively carrying out finite element pre-processing, solving and post-processing on an operation scene of the structure to obtain a finite element simulation result of the structure; s3, performing data acquisition, data alignment and data alignment according to a structural finite element simulation result in combination with standard data; s4, performing data comparison through multiple methods to obtain a comparison result; s5, constructing a structure credibility evaluation system, performing confidence evaluation on a comparison result, if the comparison result is credible, ending calibration, and otherwise, turning to S6; and S6, carrying out sensitivity analysis on the parameters, giving out calibration values of the parameters, inputting the calibration values into S1, and repeating the steps S1 to S6 until the confidence coefficient is credible. According to the method, calibration of multiple parameters of the structure in multiple operation scenes can be completed in a short time, and the method has high accuracy and reliability.

The invention relates to the technical field of vehicles, and discloses a vehicle tail gate motion calibration method and device, electronic equipment and a storage medium, and the method comprises the steps: displaying a vehicle model data interface to obtain input vehicle model data of a vehicle tail gate to be calibrated, and displaying a tail gate motion calibration demand interface to obtain calibration demand data of the vehicle tail gate to be calibrated; and in response to the data input completion operation of the vehicle type data and the calibration demand data, obtaining and displaying an output result, and in response to the data downloading operation, transmitting the output result to a target controller of the vehicle, so that the target controller controls the to-be-calibrated vehicle tail door to perform vehicle tail door movement according to the output result. According to the vehicle tail gate calibration method and device, the algorithms, such as the preset vehicle tail gate motion calibration algorithm, of which the output results are obtained through calculation are deployed on the third party outside the target controller to calibrate the vehicle tail gate, on one hand, calibration cost is saved, on the other hand, the algorithm of the target controller does not need to be updated when the algorithm is modified, cost is low, and implementation is easy.

The invention discloses a camera external parameter calibration method and terminal based on epipolar constraint, and the method comprises the steps: obtaining a baseline length between two to-be-calibrated cameras, and respectively shooting a target scene through the two to-be-calibrated cameras to obtain a left image and a right image; performing feature extraction and feature matching on the left image and the right image to obtain feature point pairs; performing epipolar constraint calculation according to the internal parameters of the two cameras to be calibrated and the feature point pairs to obtain a target rotation matrix and an original translation vector of the two cameras to be calibrated; and performing scale recovery on the original translation vector through the baseline length to obtain a target translation vector. According to the invention, precise calibration of the external parameters of the binocular camera can be realized in a long-distance scene.

A calibration device and method for a wide-band resistor voltage divider angle difference, comprising: a wide-band power acquisition and analysis system, comprising: a main control computer, a PXI controller and a digitizer; the PXI controller is respectively connected to the main control computer and the digitizer; the wide-band power acquisition and analysis system is used to perform high-speed synchronous sampling of the analog small signal passing through the voltage divider, and then transmit the data to the main control computer, and the signal is analyzed and processed by the compiled upper computer program; an electric power standard source is respectively connected to the main control computer, the voltage divider and the digitizer; the electric power standard source uses high-order harmonics to simulate the wide-band signal output to apply a working voltage to the voltage divider; the voltage divider is respectively connected to the electric power standard source and the digitizer as a device to be tested. The present invention adopts high-order harmonic simulation technology to generate a wide-band signal input to achieve accurate calibration of the voltage divider angle difference at different frequencies.

The invention provides a laser radar point cloud-based pose determination method and device, equipment and a medium. In the scheme, the reference point cloud and the real-time point cloud are screened to obtain a feature point set corresponding to the reference point cloud and a feature point set corresponding to the real-time point cloud, and the relative pose of the real-time point cloud is determined based on the feature point sets of the reference point cloud and the real-time point cloud. According to the method, the problem of pose calibration errors caused by pose changes in the working process of the laser radar is effectively solved, a laser radar pose determination scheme which is high in calibration efficiency, high in scale precision and low in calibration cost is provided, high-precision sensing of the laser radar can be achieved, and the overall performance of a vehicle-road cooperation system is improved.

The present invention relates to a calibration method for a TOF camera and a calibration device for a TOF camera. The calibration method for a TOF camera comprises the following steps: fixing a TOF camera and a calibration plate so that a fixed distance d0 is provided between the TOF camera and the calibration plate; adjusting the phase difference of the TOF camera to a first phase difference #imgabs0# and obtaining a first measurement distance d1 through the TOF camera; adjusting the phase difference of the TOF camera to a second phase difference #imgabs1# and obtaining a second measurement distance d2 through the TOF camera; performing several measurement steps to obtain a third measurement distance d3 to an nth measurement distance d n ; Calculate the moving distance △d corresponding to the TOF camera under the second phase difference #imgabs2#; Calculate the actual distance according to the moving distance △d; Calibrate the TOF camera based on the corresponding relationship between the measured distance and the actual distance. The present invention reduces the calibration cost of the TOF camera, shortens the calibration time of the TOF camera, and improves the calibration accuracy of the TOF camera.

The invention is suitable for the field of in vitro diagnostic equipment, and discloses a sample analyzer and a control method of an ultrasonic device in the sample analyzer. The sample analyzer comprises a sample distribution device, a reagent distribution device, an ultrasonic device, a determination device and a control device, the control device is configured to control the ultrasonic device to execute the following calibration operations: controlling the ultrasonic device to transmit ultrasonic waves to the first reference medium, and obtaining a first working parameter of the ultrasonic device; controlling the ultrasonic device to transmit ultrasonic waves to a second reference medium, and acquiring a second working parameter of the ultrasonic device; obtaining a calibration coefficient of the ultrasonic device at least according to the first working parameter and the second working parameter; and the control device is further configured to control the ultrasonic device to execute the following ultrasonic mixing operation: determining a target parameter according to the calibration coefficient, and driving the ultrasonic device to perform ultrasonic mixing on the target liquid according to the target parameter. According to the invention, on-machine automatic calibration of the ultrasonic device is realized, and the calibration cost of the ultrasonic device is reduced.

The invention discloses an illuminance sensor multi-point calibration method based on big data, particularly relates to the technical field of illuminance sensor calibration, and aims to screen out a faulty illuminance sensor based on the transmissivity, time null drift and zero temperature drift of the illuminance sensor, exclude subsequent calibration and effectively save the calibration cost of the illuminance sensor. The correlation coefficient set of the illuminance sensor is obtained by analyzing big data, and the illuminance sensor is calibrated based on the correlation coefficient set, so that the illuminance sensor is calibrated more scientifically, and the measurement accuracy and stability of the illuminance sensor are improved; more calibration times are set for the illuminance sensor with a large comprehensive quality coefficient, more resources can be applied to the sensor with better performance, and scientific management of the illuminance sensor is facilitated; the problems that in the prior art, the calibration cost of an illuminance sensor is high, and the illuminance sensor cannot be calibrated scientifically are solved.

This invention provides a method and system for reconstructing the full-band electrochemical impedance spectroscopy (EIS) of lithium-ion batteries. The method includes: performing distributed relaxation time (DRT) analysis on each group of battery EIS samples to obtain DRT spectra; aligning the DRT spectra on the logarithmic time constant axis and performing ensemble statistics, selecting peaks and / or valleys that stably appear under multiple operating conditions based on statistical stability, and mapping them to obtain a set of conditionally invariant characteristic frequencies; selecting characteristic frequency points that satisfy the sampling budget from the set of conditionally invariant characteristic frequencies, and performing sparse EIS measurements on the target battery at these characteristic frequency points to obtain sparse complex impedance inputs; generating a full-band complex impedance sequence based on the sparse complex impedance inputs using an autoregressive reconstruction model; and performing battery state estimation and fault diagnosis based on the full-band complex impedance sequence. This invention significantly improves the continuity of the spectral shape and the generalization ability across operating conditions under sparse sampling conditions, while reducing the full-spectrum testing time and sampling burden.

The invention discloses a liquid drop comparison and calibration method / device, and belongs to the technical field of ultrasonic pipetting. According to the comparison calibration method, the standard steel ball is bounced to the air to simulate the process that a micro-droplet is excited to the air, an industrial camera is adopted to shoot a flight image of the standard spherical steel ball, the contour of the standard steel ball is recognized, and the size of the steel ball is calculated based on the constructed rotational symmetry model of the steel ball. The measurement result is compared with the standard value of the standard steel ball, and the micro-droplet volume measurement error combined with the industrial camera is evaluated.

The application discloses a temperature compensation method and system suitable for insulation resistance sensors. The application aims to solve the problem that it is difficult to simultaneously consider single-board compensation accuracy and temperature calibration cost in a wide temperature and wide resistance range. The method comprises the following steps: selecting a plurality of sample sensors to calculate sample error data and converting the sample error data into an error feature vector; based on the error feature vector, the sample sensors are clustered and divided to form a plurality of sensor categories; a basic compensation model library is constructed according to the categories; the error feature vector of a sensor to be calibrated, except the sample sensors, is calculated; the error feature vector is compared with the feature center of each category in the basic compensation model library, and a matching category is determined according to the comparison result; a single-board correction parameter is solved in combination with the basic compensation model; and based on the basic compensation amount and the single-board correction parameter, an insulation resistance value after compensation is output. The application can realize effective compensation of single-board temperature drift difference in mass production only at a small number of calibration points.

The present invention relates to the technical field of roadside sensors, and specifically discloses an automatic joint calibration method for roadside sensors based on a grid map. The roadside sensor includes a millimeter wave radar and a camera. The millimeter wave radar is used to receive radar points of a target, and the camera is used to receive an image. By establishing a millimeter wave radar grid map A and an image grid map B, and by associating the millimeter wave radar grid map A with the image grid map B, the joint calibration of the roadside sensors is achieved. The present invention can automatically complete the calibration without manual work, and has high efficiency; the method of the present invention does not require characteristic markers, and can automatically perform road test sensor calibration by detecting vehicle targets traveling normally on the road, and has low cost.

The invention discloses a high-precision SINS (Strapdown Inertial Navigation System) aerial calibration method for an unmanned aerial vehicle. The calibration process sequentially comprises the following steps: carrying an SINS and a satellite navigation system on the unmanned aerial vehicle; the product is powered on, output data of the SINS and the satellite navigation system of the whole flight sortie are collected, and initialization and alignment are carried out after the output data of the SINS and the satellite navigation system are valid; after initialization and alignment are completed, real-time pure inertial navigation is carried out; in the navigation process, when effective satellite navigation output data is collected, data fusion is performed on the navigation results through a Kalman filter, and integrated navigation calculation of the whole sortie is completed; the estimated zero values are recorded and fed back to the SINS, iterative calculation is carried out three times again according to the process, the zero values estimated three times are added, and a final SINS air calibration result is obtained. According to the calibration method, the SINS air calibration can be completed only by carrying the sensor and collecting the output data of the sensor of one sortie, the zero position of the SINS can be estimated very accurately, and the calibration precision is high.

This utility model discloses a product calibration device for an assembly line, relating to the field of product calibration technology. The product calibration device for the assembly line includes a base, a transmission mechanism, and a calibration mechanism. The transmission mechanism includes a drive component mounted on the base and a placement component disposed within the base. The drive component drives the placement component to transmit relative to the base. The calibration mechanism includes a fixing ring mounted on the base and a threaded shaft disposed within the fixing ring. The fixing ring is fixedly connected to the front side of the base, and a connecting rod is provided on the calibration mechanism. This mechanism can continuously transmit products within the base without requiring manual movement of products below the workstation, resulting in higher work efficiency. Furthermore, since both the mechanism and the calibration mechanism are mounted on the base, no additional transmission equipment is needed, reducing calibration costs. Additionally, the mechanism is detachable, facilitating cleaning of dust from the surface of the second track by workers.

A kind of cable-driven parallel mechanism pose forward solution method based on cable tension measurement belongs to the field of parallel mechanism kinematics. With the tension value measured directly by force sensor installed in each cable transmission link as input, a force-position coupling constraint model containing pulley kinematics is established, a static force balance residual function is constructed, and its analytical Jacobian matrix is derived, based on Levenberg-Marquardt algorithm to solve the complete six-degree-of-freedom pose of the moving platform iteratively. The invention avoids the dependence on cable length in traditional methods, and eliminates the long-term accuracy drift problem caused by cable material creep and time-varying elastic modulus. Theoretical analysis proves that the potential energy function corresponding to the residual function is strictly convex within the force-closed workspace, ensuring the global uniqueness of the pose forward solution. The method is suitable for redundant drive, fully constrained and under-constrained cable-driven parallel mechanism configurations, and the computational complexity is only positively linearly related to the number of cables, with high computational efficiency.

The invention provides a user coordinate system calibration method, a robot and a storage medium, the method is applied to the robot, and the method comprises the steps that an initial reference point is determined according to the initial position of a laser displacement sensor, and the initial position represents any position when a light spot of laser emitted by the laser displacement sensor falls in a center circle; determining a target circle on a target plane parallel to the calibration plate according to the initial reference point and a preset radius; the manipulator is controlled to move along the circumference of the target circle, multiple target height values are determined from multiple candidate height values collected by the laser displacement sensor, and the multiple target height values represent the distances between the laser displacement sensor and the bottoms of the multiple grooves; taking the positions where the laser displacement sensor is located when the plurality of target height values are collected as a plurality of calibration points; and determining an original point and a coordinate axis of the user coordinate system according to the plurality of calibration points. According to the method, the calibration efficiency of the user coordinate system used in the product calibration process can be improved.

The invention is applicable to the field of in vitro diagnostic equipment, and discloses a control method of a sample analyzer and the sample analyzer, and the control method of the sample analyzer comprises the following steps of: controlling a first sample dispensing assembly to add a calibrator into a first reaction container; controlling an incubation assembly to incubate a mixture at least containing a calibration product and a reagent to obtain a first to-be-detected solution; obtaining a first optical measurement result of the optical measurement assembly on the first to-be-measured liquid; obtaining first calibration data according to the first optical measurement result and the known concentration of the target object in the calibrator; obtaining second calibration data according to the first calibration data and a deviation function; the control method further comprises the following steps: obtaining a detection result of the target object in the first sample according to the second optical measurement result and the first calibration data; and obtaining a detection result of the target object in the second sample according to the third optical measurement result and the second calibration data. According to the invention, the consumption of calibrators and the project calibration duration can be reduced.

This invention discloses an IoT-based electronic hardware system for agricultural environmental monitoring, aiming to solve problems such as low monitoring accuracy, weak anti-interference capability, and poor adaptability in different agricultural scenarios. The system adopts a core architecture of multispectral coupled sensing, layered anti-interference packaging, dual-mode communication, and neural network self-calibration, making it adaptable to various scenarios such as desert oases, tea gardens, and northern arid lands. By optimizing the sensing unit, strengthening the protective structure, and implementing adaptive power supply and real-time calibration algorithms, it achieves accurate monitoring of multiple dimensions, including temperature and humidity, soil / water quality parameters, and crop status. Its simple structure, convenient installation, strong resistance to interference from wind, sand, freeze-thaw cycles, and high humidity, and stable data transmission provide reliable data support for precise agricultural production management, adapting to various agricultural environmental monitoring needs.

The invention provides a crane lifting rope position calibration method and system and a crane, and the crane lifting rope position calibration method comprises the following steps: S10, lifting a lifting hook to a cut-off action position of an anti-overwinding switch, enabling the lifting hook to stop moving, and obtaining the length LA of a lifting rope between a winch and the lifting hook in a current state; s20, according to the LA, the number NA of remaining winding turns and / or the number NB of remaining unwinding turns of the hoisting rope on the winch in the current state are / is calculated; and S30, according to the NA and / or the NB, the number of remaining turns of the lifting rope and / or the number of unrolling turns of the lifting rope in the current state are / is calibrated for a lifting rope position sensor on the winch. According to the crane lifting rope position calibration method, the lifting rope on the winch does not need to be completely released, the operation steps and the calibration mode are simplified, the consumption of manpower and material resources is reduced, the calibration cost is saved, and the operation is safer.

The invention provides a radar calibration method, device and system and a vehicle, and relates to the technical field of vehicles, and the method comprises the steps: obtaining the position information and driving parameters of the vehicle, judging whether the vehicle meets a preset calibration condition or not according to the position information and driving parameters, and when the vehicle meets the preset calibration condition, carrying out the calibration of the vehicle. A calibration instruction is sent to the radar controller through the gateway controller, the calibration instruction is used for controlling the radar controller to carry out radar parameter calibration, radar parameters returned by the radar controller through the gateway controller are received, and a radar calibration result is obtained. Data communication is carried out through the whole vehicle network architecture, cooperative work of the vehicle terminal, the gateway controller and the radar controller is realized, whether the vehicle meets the calibration condition is rapidly judged, the calibration instruction is automatically generated, instruction and data forwarding is carried out through the gateway controller, cross-network-segment data interaction is realized, the calibration efficiency is improved, and the calibration efficiency is improved. And calibration cost is reduced, thereby ensuring high-efficiency production of vehicles.

The application discloses an automatic calibration method and system using human body and boiling water, comprising the following steps: obtaining a timing mode calibration instruction; in response to the timing mode calibration instruction, obtaining a human body surface temperature as a low-temperature calibration reference temperature value and obtaining a boiling water temperature as a high-temperature calibration reference temperature value; obtaining a low-temperature calibration coordinate point according to the low-temperature calibration reference temperature value, obtaining a high-temperature calibration coordinate point according to the high-temperature calibration reference temperature value, calculating a fitted temperature curve, then converting, obtaining new Knew and Bnew, replacing original sensor calibration parameters and storing, then bringing into a linear formula between sensor measurement values and true temperatures to calibrate the temperature measuring module of the range hood. The application can accurately solve the temperature drift problem of the range hood, has strong calibration timeliness, is suitable for multiple scenes with double reference points, has high practicability, realizes automatic calibration, is convenient to operate, is low in cost and can be adapted to embedded hardware.

The invention relates to the technical field of data processing, in particular to an associated transaction submission method and device, equipment and a medium, which are used for improving the efficiency and accuracy of associated transaction submission. According to the method, the transaction information of any associated transaction party is stored in the same aggregation transaction record, and the aggregation transaction record has information submission items corresponding to a plurality of supervision systems, so that information redundancy caused by repeated storage for different supervision systems is avoided, the verification cost is reduced, and the information data quality is improved; according to the method and the device, the submission rule of any supervision system matched with the transaction information contained in the aggregation transaction record is determined, the information submission items corresponding to the supervision system are obtained from the aggregation transaction record according to the submission rule and submitted to the supervision system, manual filling and reporting are not needed, and the efficiency and accuracy of associated transaction submission are greatly improved.

The invention discloses a stable isotope mass spectrometry system based on reduction reaction, which is applied to the field of stable isotope mass spectrometry, and is characterized in that a first sample introduction module continuously introduces inert gas into an oxidation module, and the inert gas enters a gas mixing module through the oxidation module; the second sample introduction module introduces to-be-detected gas into the gas mixing module, the to-be-detected gas and the inert gas pass through the reduction module together and are introduced into the stable isotope mass spectrometer, and the isotope ratio of the to-be-detected gas is obtained; the first vacuum module is used for enabling the gas mixing module to be in a vacuum state before the inert gas and the gas to be detected enter the gas mixing module; the second vacuum module is used for enabling the reduction module to be in a vacuum state before the inert gas and the to-be-detected gas enter the reduction module. According to the method, the isotope calibration cost of nitrogen, nitrous oxide, nitric oxide and carbon dioxide is effectively reduced, and the method is suitable for isotope calibration of most laboratories.