94results about How to "High data accuracy" patented technology

The invention relates to the technical field of digital twinning, and discloses a digital twinning modeling method, device and equipment, a storage medium and a product, and the method comprises the steps: building a static environment model through selecting a corresponding processing technology based on the characteristics of a fixed facility and the characteristics of an operation machine, obtaining the point cloud data of a material pile through a multi-source sensor and a two-dimensional laser radar, and obtaining the point cloud data of the material pile; obtaining a virtual material pile irregular triangulation network model through a point-by-point insertion algorithm based on the material pile point cloud data, extracting material pile surface data from the virtual material pile irregular triangulation network model, and constructing a dynamic scene model based on the material pile surface data according to the material pile boundary and the material pile surface data; and a digital twin bulk cargo model is obtained by integrating the static environment model and the dynamic scene model. According to the invention, based on the fixed facility features, the operation machinery features and the two-dimensional laser radar, the static environment model and the dynamic scene model are integrated, so that the bulk cargo modeling data precision and the model real-time mapping stability are improved.

The invention relates to a park equipment operation monitoring method and system, computer equipment and a storage medium, and the method comprises the steps: carrying out the real-time collection of operation parameters of energy nodes in a park, carrying out the denoising and standardization processing of the operation parameters through signal processing, and obtaining standard parameter data; obtaining a park task list, monitoring the standard parameter data in real time based on a preset operation rule, and generating a state evaluation report of the power distribution system; key operation data in the ground source heat pump system are collected, evaluation is carried out through a trend analysis algorithm in combination with historical operation data, and an equipment operation prediction report is generated; acquiring real-time environment monitoring data and video monitoring data of a preset important area, performing environment state evaluation and safety state evaluation on the park, and generating an environment safety monitoring report; and constructing a virtual three-dimensional model of the park, and integrating the monitoring parameters to the virtual three-dimensional model. The method and the device have the effect of improving the monitoring efficiency of the equipment in the park.

The invention discloses a thermal tracing test device and method for determining the comprehensive hydrogeological condition of an aquifer, and the device comprises a water storage system, a medium groove, a heating system, and a distributed optical fiber data collection system. The device is simple in structure and intelligent and convenient to operate, instantaneous / continuous linear heat source excitation can be achieved through the heating system, and the water pressure and temperature change conditions of all positions are monitored in real time through the distributed optical fiber data acquisition system; the comprehensive hydrogeological parameters such as the flow velocity, the flow direction, the permeability coefficient, the thermal diffusion coefficient, the thermal capacity and the heat conductivity coefficient of underground water are studied, the heating system and the distributed optical fiber data acquisition system can be used for indoor tests and field tests, operation is easy and convenient, data precision is high, and practicability is high.

The invention relates to the technical field of three-dimensional visualization park management, and particularly discloses a three-dimensional visualization-based smart park management platform, which comprises a self-adaptive sensor calibration module for dynamically calculating a sensor data accuracy coefficient to ensure the precision of data acquisition; the multi-dimensional data fusion and three-dimensional modeling module is used for calculating an adaptation coefficient to evaluate the response capability of the system to environmental change by integrating multi-source data; the intelligent image data registration module optimizes a matching precision coefficient and improves the space docking precision of the image data and the three-dimensional model; the real-time error monitoring and feedback optimization module uses a machine learning algorithm to correct an error between the sensor and the three-dimensional model, dynamically calculates an error correction coefficient, and ensures data consistency; and the comprehensive performance evaluation module calculates a sensor data accuracy coefficient, an adaptation coefficient, a matching precision coefficient and an error correction coefficient through normalization to obtain a comprehensive performance coefficient, and optimizes a system operation strategy in real time.

The invention discloses a multi-source data fusion PM2.5 monitoring method based on a neural network model. The method specifically comprises the following steps: S1, performing super-resolution processing on remote sensing image data to obtain first image data; s2, error correction is carried out on pollutant output data of the obtained Slam model to obtain second image data; and S3, taking the first image data and the second image data as multi-source fusion data, and carrying out PM2.5 analysis and detection.

The utility model provides a probe type Reynolds combination experimental device, and belongs to the technical field of experimental devices. The probe type Reynolds combination experiment device comprises an experiment table, a manometer, a measurer and a connecting pipe fitting. A flow guide piece is arranged below one side of the experiment table, the pressure gauges are arranged on the top face of the experiment table, the measurer is installed on a wall of a laboratory, the connecting pipe fitting comprises an experiment pipeline, a backflow pipe, two hoses and two silicone tubes, the two pressure gauges are located on one sides of two pipeline measuring points respectively, and the two hoses are connected with the silicone tubes. And damping parts are arranged in the two silicone tubes. According to the utility model, the two pipeline measuring points on the experimental pipeline are connected with the experimental cup through the silicone tube, so that data are gentle and not easy to fluctuate greatly, the pressure gauge can measure the pressure of the measuring points in real time, the data accuracy is verified through comparison, on-way and Reynolds experiments can be carried out, the pipeline does not need to be replaced, and convenience and rapidness are realized; and the data accuracy is greatly ensured.

The invention belongs to the technical field of buoys, and discloses a multi-parameter water quality buoy with a cleaning probe structure and a cleaning method thereof.The multi-parameter water quality buoy comprises a buoy body, an equipment box is fixedly installed at the top end of the buoy body, and a protective net located on the inner side face of the buoy body is fixedly installed at the bottom end of the equipment box; and stainless steel mounting cylinders located in the protective net are fixedly mounted on the left side and the right side of the bottom end of the equipment box, sensor probes are mounted in the stainless steel mounting cylinders through bolts, and probe cleaning assemblies are arranged at the bottom ends of the sensor probes. Water flow in a water body is utilized, the water flow in a water area is directly pumped, the water flow is distributed through a water inlet assembly and a three-way valve, meanwhile, the water flow is directly sprayed to the detection end of a sensor probe through pressurization, the auxiliary cleaning process is completed, and the whole process is automatically completed; manual disassembly and cleaning are not needed, and the cleaning efficiency is remarkably improved.

A method for obtaining key attributes of canopy trees based on unmanned aerial vehicle oblique photography relates to the field of image data processing, and comprises the following steps: S1, unmanned aerial vehicle oblique photography, S2, DSM data splicing, S3, DEM data obtaining, S4, data processing, and S5, forest key factor extraction. According to the method, a large area can be covered in a short time, the image data of the forest trees can be rapidly collected, indoor data analysis is carried out, key attribute elements of the trees are obtained, the cost is only one tenth of that of traditional manual investigation, and almost no personnel safety risk exists. And simultaneously. Position signals are obtained in the air, the positioning precision is high, the tree tip position is recognized through an algorithm, the geographic coordinates and the height of the tree are obtained, and the data precision is high; image data are collected through different angles such as inclination, the tree height and crown breadth are identified through an algorithm, manual intervention is greatly reduced, and the investigation efficiency and precision are improved.

The invention belongs to the technical field of building construction, and particularly relates to a building ground flatness detection device which comprises a first ruler body and a second ruler body which are arranged side by side, and the second ruler body is rotationally connected to one end of the first ruler body. U-shaped grooves are formed in the first ruler body and the second ruler body, a rectangular sliding groove is formed by the two U-shaped grooves, and the measuring part is assembled in the rectangular sliding groove. The driving motor is started, so that the shell drives the detection wheel to roll on the ground, in the process that the detection wheel fluctuates along with the ground, the second distance sensor detects the moving distance of the detection wheel in the vertical direction, a monitoring signal is transmitted to the processing element in real time, then the ground flatness is detected, the detection process is simplified, and the detection efficiency is improved. The detection efficiency is improved, and the validity of detection data is ensured.

The invention provides a micro-scale steady-state meniscus model construction method and device, equipment and a medium, and belongs to the field of micro-scale in-pore flow simulation calculation. According to the method, a micro-scale pore meniscus molecular model containing an upper flat plate, a lower flat plate and a left fixed flat plate is constructed, and liquid is filled in the micro-scale pore meniscus molecular model; the method comprises the following steps: performing energy minimization to obtain a liquid static structure, moving a flat plate to obtain a steady-state structure, performing stress analysis on the steady-state meniscus structure, and counting horizontal tangential force borne by the flat plate under the unit length of a liquid-solid interface within preset time. By constructing the micro-scale pore meniscus molecular model, fluid dynamic behaviors of a three-phase contact line area under the micro-scale can be simulated, data which is difficult to obtain in experiments such as a three-phase interface liquid molecule migration mechanism and the like can be obtained, and the problem that a current experimental method is difficult to reveal a micro-nano liquid-solid interface flow mechanism is solved.

This utility model discloses a tool for detecting the verticality of on-site wall and column formwork, relating to the field of building construction. The technical solution includes an F-shaped measuring rod, which consists of a vertical section, a top horizontal bar fixedly mounted at the top of the measuring rod, and a middle horizontal bar fixedly mounted in the middle of the measuring rod. A plumb bob is tied to one end of the top horizontal bar near the measuring rod, and an inverted triangular positioning plate is integrally connected to the other end. A scale plate is fixedly mounted at the lower end of the vertical section of the measuring rod. The scale plate is arc-shaped, with its center coaxial with the mounting axis of the plumb bob, and scale lines are provided on the scale plate. The beneficial effects of this utility model are: simplifying the data measurement process at the top of the formwork, improving data accuracy, avoiding personnel climbing the scaffold, and reducing safety risks.

The invention discloses an enterprise management method based on a large model, particularly relates to the technical field of large models, and comprises an enterprise evaluation information acquisition step, a text preprocessing step, an evaluation information analysis step, a comprehensive analysis step, a comprehensive judgment step and an intelligent feedback step. The method comprises the steps of obtaining a first evaluation text corresponding to a target enterprise area and performing text preprocessing operation to obtain a first evaluation data set; the evaluation module is used for obtaining an intelligent model, inputting the first evaluation data set into the intelligent model to obtain a second evaluation data set, importing the second evaluation data set into a comprehensive analysis model to obtain a comprehensive evaluation reasonable value, and obtaining a preset comprehensive evaluation reasonable value. And the comprehensive evaluation reasonable value is compared with the preset comprehensive evaluation reasonable value, and feedback is performed, so that the time cost and the labor cost can be reduced, and the accuracy and the comprehensiveness of the enterprise management evaluation rate are greatly improved.

The invention belongs to the technical field of wind tunnel tests, and discloses a model pose video measurement system calibration device and a positioning method thereof. An XYZ-direction linear displacement driving mechanism and a three-degree-of-freedom angle adjusting mechanism are sequentially fixed above a multifunctional chassis of the calibration device, a calibration plate is fixed on the three-degree-of-freedom angle adjusting mechanism, and a communication module is fixed on the side surface of the multifunctional chassis; the manual operator sends a control instruction to the communication module, then transmits the control instruction to the upper computer and converts the control instruction into a control signal, the control signal is transmitted to the communication module, and finally each mechanism is driven to adjust the position of the calibration plate. The positioning method comprises the steps that all the linear displacement mechanisms are operated in place; adjusting the grating encoder; dividing a test area; the calibration device is operated in place; adjusting the position of the multifunctional chassis; acquiring an image of the calibration plate; calibrating a test area I; calibrating all test areas; and removing the calibration device. The calibration device and the positioning method thereof solve the problems of low efficiency and data errors caused by manual arrangement of the calibration plate, and have engineering practical value.

The invention relates to an intelligent target system for a vertical target density test based on optical vision positioning measurement, and solves the problems existing in current vertical target density measurement. Comprising a high-quality imaging system, a high-speed image acquisition, storage and transmission system, a calculation and analysis system and a report system, the high-quality imaging system comprises a camera module, the trigger controller issues a photographing instruction to the camera module, and the camera module photographs the target plate to obtain a high-quality clear target plate orthographic image and target center calibration; the high-speed image acquisition and storage system is used for acquiring and storing shot target surface image data before and after each shot; the calculation and analysis system performs geometric distortion correction on the acquired image, automatically extracts and identifies the bullet hole and quickly calculates the coordinates of the bullet hole; and the report subsystem is used for generating, displaying and exporting the analyzed data. The method can greatly reduce the labor intensity of workers, improve the labor efficiency, improve the data precision and reduce the safety risk, and can also be expanded to other similar tests.

The present invention provides a continuous gravity detection method, medium and system based on a seafloor crawler, which belongs to the field of geophysical technology, and includes: using a seafloor crawler equipped with an absolute gravimeter and a relative gravimeter to perform grid detection of a test area. First, the relative gravity data of the center point of each grid unit is obtained to establish a relative gravity matrix. Then, the Bayesian probability model and the Markov chain Monte Carlo method are used to determine the abnormal points, boundary points and transition points of the relative gravity data. These feature points are clustered to obtain multiple cluster centers and flying points. Next, the seafloor crawler is controlled to traverse the path of the cluster centers and flying points to obtain absolute gravity data. Finally, in combination with the relative gravity matrix, the Kriging interpolation method is used to calculate the absolute gravity matrix of the entire test area as the gravity detection result. The present invention solves the technical problem that the prior art is difficult to achieve the detection of high-precision seafloor gravity data.

The invention relates to a solid-state battery pressurization test device and system. The device comprises a sealing box and a pressurization test module, the sealing box is used as a water-free oxygen environment for the pressurization test of the to-be-tested battery; operation gloves are arranged on the sealing box and are used for assembling a to-be-tested battery in the sealing box; the pressurization test module is arranged in the sealing box and comprises a shell, a clamp assembly, a pressurization assembly and a positioning assembly; the clamp assembly is used for fixing the assembled to-be-tested battery; the pressurizing assembly is arranged on the shell and is used for applying preset pressure to the to-be-tested battery on the clamp assembly; and the positioning assembly is used for positioning the to-be-tested battery on the clamp assembly and butting the to-be-tested battery with the pressurizing assembly. In the embodiment of the invention, the whole process of the battery pressurization test is completed by controlling each component by the control module in the sealing box, the sealing problem does not need to be considered, the material for sealing the battery and the time for sealing the battery are saved, and the battery test efficiency is improved.

The utility model provides a kind of ground impedance detection device based on harmonic analysis, belong to ground impedance detection technical field, including main frame assembly, the inner wall of main frame assembly is connected with ground impedance detector, the outer wall of main frame assembly is fixedly connected with limiting component, the outer wall of main frame assembly is provided with honing component, the outer wall of main frame assembly is provided with side support component, the outer wall of main frame assembly is provided with take-up assembly;The utility model is provided with take-up assembly, in use, by take-up motor driving take-up rod rotation, and then realize the orderly winding of the wire connected with probe or ground electrode test point, avoid multiple wires between each other cross each other, improve the accurate detection of ground impedance detector in field use;By the setting of limiting component, in use, start and control rotary motor use, drive press plate rotation, so that multiple spring barrels are above ground impedance detector.

This application discloses a data-processing-based intelligent management method and system for thermal power fuel, comprising the following steps: collecting multi-dimensional data of the entire life cycle of thermal power fuel; cleaning, standardizing, and fusing the collected multi-dimensional data to obtain pre-processed fuel data; constructing a multi-dimensional analysis model to analyze the pre-processed fuel data, comparing the analysis results with preset condition information, generating procurement adjustment instructions, inventory scheduling instructions, coal blending execution instructions, and equipment operation and maintenance early warning instructions, and pushing the instructions to the corresponding execution terminals, collecting feedback data in real time during the instruction execution process; obtaining instruction execution status data based on the feedback data, visualizing the instruction execution status data, fuel data, and analysis results, and generating multi-dimensional statistical reports; this invention establishes a unified data collection and integration mechanism, breaks down data barriers at each stage, and forms a complete data link for the entire fuel life cycle.

The invention discloses a regional multi-microgrid cluster-oriented collaborative operation system, which relates to the technical field of power system dispatching and control, and comprises an asynchronous sensing fusion module, an asynchronous receiving and time axis reconstruction module, a time axis reconstruction module and a time axis reconstruction module, which are used for carrying out asynchronous receiving and time axis reconstruction on operation state data reported by a plurality of microgrid nodes; the credibility level is determined based on the communication link state and the data integrity, and weighted merging is carried out in the same time window according to the credibility level to form a unified state view; and the prediction difference modeling module is used for extracting state change characteristics among micro-grid nodes based on the state view, determining state offset information and a historical change boundary thereof, and taking the state offset information and the historical change boundary as numerical constraints of scheduling calculation. According to the system provided by the invention, through the asynchronous sensing fusion module, time axis reconstruction is realized on the basis of asynchronous data receiving, the credibility level of each piece of data is dynamically evaluated in combination with a communication link state and data integrity, and then weighted fusion is carried out in a unified time window.

The application discloses a kind of detergent decontamination power quick test device and method, it is related to detergent cleaning test technical field.In the application: including stain box, washing test box, displacement component, lifter, lifting plate and test rod with test ring groove and smooth ring surface.Wherein, stain box contains multiple independent stain cavities, configure distance probe and filling tube.Washing test box is equipped with flow cavity, shunt channel and ultrasonic vibrator.Displacement component includes guide rod, linear motor, travel switch.The application method is attached to different stains by test rod simultaneously, after being washed by washing liquid flow and ultrasonic vibration under unified condition, the decontamination effect is evaluated by detecting stain residue.The application realizes the synchronous test of multiple stains, reduces manual operation and batch deviation, stabilizes control washing parameter, improves test efficiency, repeatability and result reliability.

The invention discloses a method for testing and evaluating the lateral stiffness of a small box girder bridge, and belongs to the field of bridge structure safety detection. The method comprises the following steps: a deflection sensor collects deflection values ​​of measuring points based on a loading process of a loading vehicle; a longitudinal bridge deflection influence line of each measuring point is obtained based on the deflection values ​​of the measuring points and an information matrix of the loading vehicle; an interpolation method is adopted based on the longitudinal bridge deflection influence line to obtain a transverse bridge deflection influence line of the small box girder bridge; and a stiffness evaluation is performed based on the transverse bridge deflection influence line of the small box girder bridge to obtain a stiffness evaluation result.

The present invention relates to a method, device, electronic device and storage medium for establishing a knowledge base for landslide identification. The method comprises: using InSAR technology to analyze SAR image data sets of each target area, and determining a time series deformation map and a cumulative deformation map of each target area; based on the slope map and the slope aspect map of the target area, jointly applying hotspot clustering technology and spatial clustering analysis technology, analyzing deformation points in the time series deformation map of the target area, and determining the landslide boundary of the target area; based on a pre-set interpretation mark, performing remote sensing visual interpretation on the optical image data set, the time series deformation map, the cumulative deformation map and the landslide boundary of the target area, and determining the landslide attribute information of the target area. The present invention takes into account the influence of slope aspect and slope on landslide identification, improves the accuracy of the acquired landslide attribute information, and then improves the data accuracy of the landslide identification knowledge base, and lays a good foundation for subsequent AI automatic identification.

The utility model discloses an unmanned aerial vehicle airborne equipment self-adaptive adjusting and quick dismounting device, which comprises a radar mounting plate, an airborne computer carrying plate, a clamping mechanism and an angle adjusting mechanism, and is characterized in that the clamping mechanism is arranged at the bottom of the airborne computer carrying plate and is used for clamping and separating from an unmanned aerial vehicle; a first stand column set and a second stand column set are arranged on the airborne computer carrying plate, a rotating shaft is arranged on the first stand column set, one end of the radar mounting plate is arranged on the first stand column set through the rotating shaft, and the other end of the radar mounting plate is arranged on the second stand column set through an angle adjusting mechanism. The angle adjusting mechanism is used for adjusting and locking the pitching angle of the radar mounting plate, and a placing space for placing an airborne computer is formed between the radar mounting plate and the airborne computer carrying plate. The device has the advantages of compact structure, high operation efficiency and capability of realizing real-time online processing of radar data.

The invention discloses an equestrian competition performance prediction system based on multi-modal monitoring, and relates to the technical field of equestrian sport monitoring and intelligent prediction. The system comprises an acquisition module, a processing module, a prediction module, a display module and a data closed-loop optimization mechanism. The acquisition module is used for acquiring horse video and physiological and environmental multi-modal data through multiple types of equipment; the processing module is used for realizing data fusion processing, gait behavior recognition and facial expression emotion evaluation; the prediction module outputs a competitive performance quantitative score and risk early warning based on a machine learning model; the display module provides a visual interaction interface; and the data closed-loop optimization mechanism realizes model iterative optimization through competition result return. According to the method, the problems of single monitoring dimension, data splitting, lack of prediction capability and the like in the prior art are solved, comprehensive perception of horse states and accurate prediction of competitive performance are realized, the scientific level of training management is improved, and the method has wide practical prospects and industrialization values.

The application provides an underground tunnel crack repairing intelligent drilling device, a mechanical arm and a method, relates to the field of underground intelligent repairing equipment, and aims to solve the problems of low intelligence degree and easy damage of a detection assembly caused by drilling impact during drilling of a crack in an underground project. A matched detection assembly is arranged on a drilling assembly, crack state parameters can be collected during drilling, and auxiliary positioning can be performed. The detection assembly is installed on a support plate through a sliding pair with a resilient piece. When vibration occurs during construction, part of the vibration can be absorbed by the resilient piece. The direction of action of the resilient piece is consistent with the drilling direction, so that the impact effect generated during drilling is improved, and the detection equipment is protected.

The invention relates to the technical field of bridge detection, and discloses bridge construction displacement detection equipment which comprises a cross beam, a main beam is fixed to the tops of the two ends of the cross beam, first reflection targets are fixed to the bottoms of the two sides of the main beam, a mounting plate is fixed to the surface of the cross beam, and an indicator plate is fixed to the bottom of the mounting plate. According to the bridge construction displacement detection equipment, the first laser transmitter corresponds to the first reflection target, the displacement deviation between the main beam and the cross beam in the length direction is detected, the second laser generator corresponds to the second reflection target, the displacement deviation between the main beam and the cross beam in the width direction is detected, and the displacement deviation between the main beam and the cross beam in the length direction is detected. The main beam can be accurately hung on the top of the cross beam due to the displacement deviation between the main beam and the cross beam, then the accuracy of main beam installation is improved, meanwhile, after installation is completed, the installation plate and the installation frame can be conveniently disassembled, and then the convenience of disassembling detection equipment during construction is reduced.

The invention relates to the technical field of photovoltaic monitoring, and discloses a photovoltaic power station intelligent inspection method, which comprises the following steps: acquiring an environment data set and a power generation data set corresponding to each pre-divided photovoltaic area; integrating the time period information into an effective working time period, and integrating each power generation data set into a photovoltaic data segment; determining standard data of each photovoltaic area, and determining doubt data in the photovoltaic data segment of the corresponding photovoltaic area according to the standard data; removing weather abnormal data in the doubt data to convert the doubt data into abnormal data; determining an inspection priority of the corresponding photovoltaic area according to the abnormal data; and determining the inspection area of the current round according to the inspection priority. The data exception condition of each photovoltaic area is analyzed in combination with the environment data and the power generation data, then the routing inspection priority is determined according to the data exception condition, routing inspection is performed on more needed photovoltaic areas preferentially under the condition of limited manpower and material resources, and faults can be found in time.

The utility model relates to a blood pumping device and a blood pumping shell. The blood pumping device comprises a blood pumping shell and a sensor, wherein the outer side wall of the blood pumping shell is provided with a containing space; a space opening is formed in the side, close to the outer surface of the blood pumping shell, of the containing space. The detection part of the sensor is arranged in the accommodating space, and the detection part of the sensor is arranged close to or towards the space opening. The utility model further provides a blood pumping shell. According to some blood pumping devices provided by the invention, sensors in the blood pumping devices can be effectively protected, meanwhile, the blood vessel wall or other biological tissues are protected from being scratched by the convex structures, a blood static stagnation region can be prevented from being formed, and the thrombus formation risk is reduced.

The utility model discloses an electroencephalogram signal acquisition device, including: including first flexible band and second flexible band, be equipped with cavity on the first flexible band, the cavity is located first flexible band middle position, be equipped with control panel and battery in the cavity, be equipped with wire groove on the first flexible band, wire groove is located two ends of the cavity, be equipped with flexible wire in wire groove, the flexible wire is connected control panel with battery, the cavity top of first flexible band is equipped with second flexible band, second flexible band is embedded and is equipped with electrode piece, one surface of electrode piece exposes second flexible band outside, and the other surface of electrode piece is connected with flexible wire in wire groove. The utility model is convenient to assemble, and the structure is simple, can adapt to different head type and head circumference, avoids wearing discomfort, and electrode detection site layout design is reasonable, can gather the forehead, side forehead and brain back etc. The ring head part multi -point electroencephalogram signal of department, improves signal coverage range and data precision, provides more comprehensive support for electroencephalogram analysis.

The present invention proposes a method for judging the stage of tobacco leaf baking process, which belongs to the technical field of tobacco leaf baking. The method for judging the stage of tobacco leaf baking process, before actual baking, inputs preset baking parameters of the entire baking process through the control end of the baking room; in the entire baking process of actual baking, according to the calibrated data collection time t of the baking process stage, collects the hyperspectral information of tobacco leaf state index X; and establishes characteristic spectral data of tobacco leaf state index X at the collection time t through the hyperspectral information collected at the time t; compares the characteristic spectral data of tobacco leaf state index X at the actual baking time t with the pre-calibrated hyperspectral information; and judges the stage of the current tobacco leaf baking process through the comparison result. The automation of the stage judgment of the tobacco leaf baking control process can be realized, and the efficiency of judging the stage of the baking process can be improved.