90 results about "Experimental data analysis" patented technology

The invention provides a fight simulation system generating military strength based on a computer and a simulation method and relates to the technical field of simulative training in battlefields. The fight simulation system comprises a data inputting module, a data analysis module and an output evaluation module. The flight simulation method comprises the following steps that during system initialization, path planning of different scenes, tactics strategies and character and terrain cooperating relation are input, and a planning algorithm and information of an operator are input; after initialization data is input, an experimental data analysis and system modeling stage is executed; after data modeling, the data is output to evaluate the model, earnings and price are calculated to ratiocinate whether the proportion of the earnings to the price is reasonable or not, and results are output. By conducting enough modeling on human behaviors, a CGF can automatically make response on events and states in a simulative battlefield environment without human interaction, and possible results in real fights can be simulated.

The invention discloses a robot spraying and track setting method for a cabochon curved surface transition area between smooth curved surfaces. The method includes the steps: building plane spraying coating thickness accumulation mathematic models corresponding to specific spraying devices by the aid of theoretical analysis and experiment data analysis; performing treatment for curved surfaces needing to be sprayed by the aid of a CATIA (computer-graphics aided three-dimensional interactive application); analyzing out a symmetric center curve and two boundary curves of a cabochon curved surface according to curvature change; taking the center curve and the two boundary curves to serve as a robot running track reference line. Robot spraying track plan and spraying parameter setting of the later cabochon curved surface transition area depends on the three curves by the aid of the built coating thickness accumulation mathematic models on the freeform curved surface. According to the robot spraying and track setting method, analysis accuracy is improved, and previous spraying track plan time is shortened. By the aid of a plane experiment, the built coating thickness accumulation mathematic models on the freeform curved surface and ROBCAD spraying simulation functions, parameter setting accuracy is improved, and engineering debugging time is shortened.

The invention discloses a lithium-ion battery SOC estimation method. According to analysis on experimental data of the lithium-ion battery rebound voltage at high or low temperature, a lithium-ion battery residual capacity prediction model of a self-adaption nerve fuzzy inference system is built. The rebound voltage and environment temperature are determined as input of the lithium-ion battery residual capacity prediction model while the lithium-ion battery residual capacity is determined as output. In the platform of MATLAB, according to the experimental data, the lithium-ion battery residual capacity prediction model of the self-adaption nerve fuzzy inference system is trained and verified. The obtained model is applied to predication and verification of the residual capacity of different battery packs. According to the method, the model is adaptable to being embedded into the existing battery management systems at present to realize accurately estimating the residual capacity of the battery so as to prevent overcharge and overdischarge of the battery; and thus, service life of the battery is prolonged, cost of users is lowered and the method has great economic benefit and social benefit.

The invention discloses a dynamic work workshop scheduling simulation modeling method based on eM-Plant software. The method includes the steps of setting up a target, collecting data, setting up a model, running a simulation experiment, analyzing experimental data, finding out influence factors and analyzing the influence factors. According to the dynamic work workshop scheduling simulation modeling method based on the eM-Plant software, simulation is conducted on the product order batched change process through the eM-plant software, a running order system is optimized and assembled, and therefore accurate evaluation on various strategies is achieved; device parameters are customized through a typical production device object base in the eM-Plant software, and rapid and efficient modeling is conducted with a special application target base serving as the typical scheme; the design cycle of traditional design is shorted in terms of time, the complexity of design work is shortened, the probability that a workshop production system is successfully designed is greatly increased, and design cost and design risks are reduced.

The invention provides a method for analyzing the aging degree of silicone rubber according to the relative content of silicon hydroxyl, belonging to the technical field of a method for analyzing the aging degree of silicone rubber. The method for analyzing the aging degree of silicone rubber according to the relative content of silicon hydroxyl comprises the following four steps: performing a thermo-oxidative aging experiment of silicone rubber, carrying out X-diffraction photoelectron spectroscopy (XPS) testing and nuclear magnetic resonance (NMR) testing on aged test pieces, analyzing the XPS and NMR testing results, and representing an aging mechanism according to the relative content of silicon hydroxyl. The method fills the blank of research on the silicone rubber aging mechanism, and can be used for predicting the aging mechanism of silicone rubber by analyzing the change of the relative content of silicone hydroxyl according to experimental data of NMR and XPS experiments. The method is a simple and practical silicone rubber mechanism analysis method, and has great significance for studying a silicone rubber aging mechanism in the future.

The invention provides a restrictive value delivery method and device applied to thread-level speculative parallelism, and when a conflict happens, the total execution time of a system can be reduced in a method of value delivery, i.e. a conflict thread can receive needed data only when a specific condition is met, and otherwise execution is conducted only according to the mode of the original system. The method disclosed by the invention is a lightweight class value delivery method, and compared with a complete value delivery and value prediction method, the method has the advantage of low hardware and protocol complexity, but under an ordinary condition, the performance is inferior to that of complete value delivery and value prediction. Through experimental data analysis, compared with a value prediction model, a restrictive value delivery model does not have large performance loss. The device is realized and verified on a LogSPoTM model, and is also suitable for other thread-level systems.

The invention discloses a simple detection device for detecting the slip resistance of a scaffold right-angle coupler, which consists of a testing device and a power loading device. A force transfer device applied onto a cross bar is arranged on the cross bar; the force transfer device is connected with the power loading device; the force transfer device consists of a top plate, two supporting dowel bars arranged between the top plate and the cross bar and force application components which are respectively arranged at the bottoms of the two supporting dowel bars and are movably connected with the cross bar. The invention also provides a method for detecting the slip resistance of the scaffold right-angle coupler. According to the invention, materials required by the simple detection device and the method are all obtained from the construction site; the simple detection device is simple to process and manufacture, has low test cost and obvious test effect and has high cost performance; the stress condition of a connecting joint of the coupler is well simulated; and by analysis on experimental data, each mechanical performance index can be well reflected. The simple detection device is simple to manufacture, is convenient to test, is easy to obtain the materials and can be manufactured by each construction organization; the quality of the coupler of the construction organization can be well controlled; and the safety of a formwork supporting system is ensured.

The invention provides an optimization method for metal 3D printing technology parameters. The method comprises the steps of determining a quality characteristic Y value of this experiment; selectingcontrollable factors and all factor levels; designing an experiment orthogonal table and collecting experiment data based on a Taguchi method; analyzing the experiment data; selecting and estimating an optimal condition; determining the experiment reliability of the present stage; carrying out an experiment summary of the present stage and carrying out analysis. According to the optimization method for the metal 3D printing technology parameters, based on the Taguchi method, the experiment frequency is reduced, and the cost of optimizing the technology parameters is lowered. The rule of the influence of the controllable technology parameters such as powder spreading layer thickness, laser power, scanning speed and scanning line spacing distance on the specific density of a metal 3D printing part is disclosed.

The invention discloses a gear box composite fault diagnosis method based on reverse editing. The method comprises the steps of: performing initial phase identification, editing, inversion and vectorsuperposition on an original vibration signal according to energy differences of a gear fault signal, a bearing fault signal and noise and conjugate symmetry of Fourier transform, so that effective noise reduction of the signal and division of different energy components in the signal are achieved; applying an amplitude level decomposition method based on the maximum between-cluster variance to automatically decompose energy difference features in the signal to achieve effective separation of composite faults; and performing Hilbert envelope demodulation analysis on the separated fault signalsagain, and finally achieving fault feature extraction and diagnosis. Through simulation analysis of the composite fault signal, effectiveness of the method is verified. Experimental data analysis results also show that the method can effectively separate and diagnose the bearing and gear composite fault in the gear box.

The invention discloses an experimental device for interaction between a steel catenary riser and soil. According to the experimental device, by researching movements in the transverse, longitudinal and vertical directions of a test tube, the test tube is closer to engineering practice and is used for acquiring experimental data, so that an experimental data analysis result obtained by a three-dimensional experiment can preferably promote the theoretical research and numerical analysis so as to guide the integral design and analysis of the riser and guarantee the safe and reliable application of the riser in deepwater oil and gas exploitation. The experimental device comprises a soil box, the test tube, a computer, a servo motor and a data acquisition unit, wherein the data acquisition unit comprises a laser data acquisition unit, the soil in a certain thickness is paved at the bottom in the soil box, the test tube is horizontally paved at the upper surface of the soil, one end of the test tube is fixedly arranged on the inner wall of the soil box, the other end of the test tube is connected to a three-dimensional moving machine, and a three-dimensional coordinate track path acquisition mechanism is arranged on the test tube. The experimental device is mainly applied to a design technique of a deepwater steel catenary riser.

The invention discloses a method for quickly computing a Bode plot and a Nyquist plot of rotary mechanical vehicle starting and parking processes. The method is based on rotor vibration signals and key-phase signals, which are measured by an eddy current sensor, of the rotary mechanical vehicle starting and parking processes, and the Bode plot and the Nyquist plot of the vehicle starting and parking processes are quickly computed; and an integral computing process is based on Hilbert transform processing for the vibration signals of the vehicle starting and parking processes, and is combined with phase-retaining filtering processing for the vibration signals and extraction of periodic information in the key-phase signals, so that the Bode plot and the Nyquist plot of the rotary mechanical vehicle starting and parking vibration signals are quickly computed. Experimental data analysis results show that Bode plot and Nyquist plot curves computed by the method are smooth, vibration peak values and vibration phases which are obtained by the method are more accurate, phase computational precision is unaffected by rotation speed, and the method is a good method for computing Bode plots and Nyquist plots of rotary mechanical vehicle starting and parking unsteady signals.

The invention provides a method for analyzing the aging degree of silicone rubber according to the relative content of silicon hydroxyl, belonging to the technical field of a method for analyzing the aging degree of silicone rubber. The method for analyzing the aging degree of silicone rubber according to the relative content of silicon hydroxyl comprises the following four steps: performing a thermo-oxidative aging experiment of silicone rubber, carrying out X-diffraction photoelectron spectroscopy (XPS) testing and nuclear magnetic resonance (NMR) testing on aged test pieces, analyzing the XPS and NMR testing results, and representing an aging mechanism according to the relative content of silicon hydroxyl. The method fills the blank of research on the silicone rubber aging mechanism, and can be used for predicting the aging mechanism of silicone rubber by analyzing the change of the relative content of silicone hydroxyl according to experimental data of NMR and XPS experiments. The method is a simple and practical silicone rubber mechanism analysis method, and has great significance for studying a silicone rubber aging mechanism in the future.

The invention discloses a synchronous monitoring and experimental system for video communication and signal processing and an implementation method thereof. The system comprises a synchronous monitoring communication and control device, an Ethernet switch, an experimental data analysis and real-time control proxy host machine, a general wireless packet communication device, a center control host machine and a holder control system. The implementation method includes steps as follows: the synchronous monitoring communication and control device real-time automatically monitors the whole process of student video communication processing experiments and records experiment codes and experiment data of students synchronously, a mobile terminal or the center control host machine real-time obtains the experiment codes, the experiment data and image files from the communication and control device through the proxy host machine and realize real-time video communication, the proxy host machine receives and analyzes commands sent by the center control host machine, sends control commands to the appointed synchronous monitoring communication and control device and necessarily locks and unlocks an experimental box, and the holder control system receives holder control commands transferred by the experimental box and controls movement of a holder and a camera.

The invention discloses a laboratory intelligent response system and a control method thereof. The system comprises a reaction device, an automatic control device and a central monitoring platform, wherein the reaction device is connected with the automatic control device; the automatic control device is connected with the central monitoring platform by virtue of a communication interface. The control method of the laboratory intelligent response system is a design method for selecting a suitable chemical reaction system from an experimental design method library. The control method comprises the following steps: setting corresponding experimental process parameters and transmitting the corresponding experimental process parameters to corresponding controllers, automatically controlling reaction process parameters, collecting and sorting experimental data, and analyzing the data by selecting a corresponding analysis method from an experimental data analysis method library after the experiment is ended. By virtue of the laboratory intelligent response system, integration for designing experiment, controlling experimental processes and processing experimental results is realized; the influence on the experimental processes caused due to manual operation is reduced to the maximum limit; an optimal experimental condition combination is quickly found; the experiment time is shortened; the experiment efficiency is improved.

The invention discloses an actual photosynthetic efficiency-based LED light supplement control system and a control method thereof. According to maximum utilization of plant on light, the brightness of an LED light supplement lamp is dynamically adjusted in real time, so that maximum utilization ratio of the plant on the light is achieved on the premise of ensuring photosynthetic ratio of the plant. Light luminous flux density FFPD(Y) required when the photosynthetic efficiency of the plant reaches a set value Lambda under different temperatures and humidity is analyzed and calculated by a large amount of experimental data, the photosynthetic efficiency of the plant is fed back in real time by a fluorescent sensor, and the illumination intensity of an LED is fed back and controlled in real time by pulse width modulation (PWM) digital dimming. By the light supplement method, real-time, accurate and energy-saving light supplement can be achieved from the demand of the plant.

The invention discloses a reservoir permeability model building method based on stress sensitivity analysis. The porosity and the permeability are analyzed by means of core stress experimental data; on the basis of the intersection relationship between the core porosity and the core permeability, a permeability calculation model is built. The permeability and the core analysis permeability are calculated through logging, and the permeability and the core analysis are well related.

The present invention provides a method for analyzing the driver's curve trajectory based on the influence of multiple factors, including step S1, proposing the influencing factors and evaluation indicators of the driver's curve trajectory: the influencing factors include objective factors and subjective factors, and the objective factors include driving The driving speed of the driver and the curvature of the curve, the subjective factors include the driving experience of excellent drivers, and the evaluation indicators include objective evaluation and subjective evaluation; step S2, establish an orthogonal table according to the orthogonal test method; step S3, according to the obtained orthogonal table Carry out the test of the driver's curve driving trajectory; step S4, the obtained test data is subjected to variance analysis, and the significance analysis of the influencing factors is carried out. The present invention proposes an analysis method that combines objective factors and subjective factors that affect the driver's driving track on a curve, analyzes the significance of the objective factors and subjective factors based on the orthogonal test method, and ranks the significance of the proposed influencing factors, It lays the foundation for the research on the humanoid control of intelligent vehicles under curve conditions.

The invention discloses a neural network based rock destroy strength determination method. The method is characterized in that a neural network is used to research the rock strength criterion under a uniaxial or triaxial loading condition, various collected rock related data are randomly divided into training and verifying subsets, the compressive strength and the smallest principal stress are used as input values and the largest principal stress value is used as an output value to train the neural network, and the trained neutral network is used to predict largest principal stress value during the test rock destroy. The method mainly comprises a step of experiment data analysis and a step of ANN based largest principal stress value prediction. The method shows the mean square deviation of the neutral network prediction result is reduced by 30-40%, and the determination coefficient is increased by 0.05-0.08 and is more close to 1. The use of the ANN to predict the rock strength has a wide adaptive loading range, so the method is suitable for rock-kind-changeable complex non-linear conditions, and is flexible and accurate.

The invention discloses a cable crimping point and crimping fitting temperature rise experiment method comprising the following steps that step one, the experiment environment is selected; step two, test equipment is selected; step three, an experiment crimping cable sample is prepared; step four, a crimping cable test point is selected; step five, a cable temperature rise experiment measurement component is selected; step six, corresponding temperature rise test current is selected according to the cables of different specifications; step seven, the cable crimping point and connecting fitting temperature rise experiment data are analyzed; step eight, temperature rise of the measurement point is calculated; and step nine, the cable crimping point and connecting fitting temperature rise experiment result is judged. According to the cable crimping point and crimping fitting temperature rise experiment method, the accuracy and the reliability of the temperature rise experiment can be enhanced, the experiment material and time cost can be reduced and the locomotive maintenance quality and safe operation can be guaranteed.

The invention discloses a chemical experiment evaluation system based on a virtual reality technology and a method thereof, and relates to the virtual reality technology. The system comprises an experiment teaching outline text analysis server (10), a virtual reality analysis server (20), an intelligent behavior analysis server (30) and an experiment data analysis server (40), the connection relationship is that the experiment teaching outline text analysis server (10), the virtual reality analysis server (20) and the behavior intelligent analysis server (30) are respectively connected with the experiment data analysis server (40). The method comprises the following steps of (1) respectively carrying out the experimental teaching outline text analysis, virtual reality analysis and behavior intelligent analysis; 2, carrying out experimental data analysis. The system is stable in performance, is easy for distributed deployment, is capable of processing multiple paths of data in parallel, is high in universality and is suitable for the virtual reality equipment and the video acquisition equipment of each manufacturer, is high in transportability and flexible in expansibility, evaluates the chemical experiment intelligently, and promotes the chemical experiment teaching quality improvement.

The invention discloses a method for analyzing validity of degradation data on the basis of failure physics. The method comprises steps as follows: 1, a thermo-oxidative aging test is performed on nitrile rubber; 2, a compressive stress relaxation test and a Fourier transform infrared spectrum test are performed on an aged sample; 3, infrared spectrum and compressive stress relaxation test results of the aged sample are analyzed; 4, inspection is performed with a method based on data consistency. By means of the steps, whether a failure mechanism of the sample in the aging accelerating process changes is judged through analysis of related experimental data of the infrared spectrum test performed on the accelerated aging nitrile rubber sample, so that whether experimental data in the compressive stress relaxation test are valid is determined; invalid data are eliminated, and the fitting degree of valid data reaches 0.99 through data fitting and is far higher than original 0.93. By means of the method, the blank about analysis of validity of the degradation data of the nitrile rubber before is filled up, and the method has great significance for accuracy and precision of follow-up life prediction.

The invention relates to the field of molecular biology, in particular to a method for detecting a klenow fragment repetition position in a saccharomyces cerevisiae chromosome.By combining genomic sequencing with endoreduplication backcrossing, the position of repeated klenow fragment genome DNA in the chromosome is confirmed quickly.Through the endoreduplication backcrossing method, the position of the repeated klenow fragment genome DNA in the saccharomyces cerevisiae chromosome can be detected efficiently and quickly and repaired, repeated klenow fragment genome DNA is deleted, there is no need to precisely confirm the position of a klenow fragment repetition site or conduct cumbersome experimental data analysis on saccharomyces cerevisiae to be detected, operation is easy, and the experimental period is short.

The invention discloses an in vitro preparation method of a pancreas islet beta cell. The method is that an exosome continuously incubates to induce stem cell differentiation, and comprises the following steps: (1) extracting the exosome; (2) observing the exosome by an electron microscope; (3) analyzing expression of an exosome marker by Western blotting; (4) inducing directional differentiationof iPSCs by the exosome; (5) verifying functions of the beta cell; and (5) verifying functions of miRNA of the exosome of the pancreas islet beta cell. Experiment results show that miRNA plays an important role in differentiating the iPSCs into the beta cell; according to experiment data analysis and miRNA function screening and verification, the condition that the miR-212 / 132 in the exosome has afunction of promoting directional differentiation of the iPSCs to the pancreas islet beta cell is found.

The invention is applicable to the technical field of data processing, and particularly relates to an open field experiment data analysis method and system and terminal equipment. The open field experiment data analysis method comprises the following steps: acquiring an experiment video containing a target open field, and extracting each video frame corresponding to the experiment video; converting each video frame into a corresponding binary image, and intercepting a region image corresponding to the target open field from each binary image; obtaining a first coordinate corresponding to eachpixel point of the experimental animal in each regional image, and determining a second coordinate corresponding to the mass center of the experimental animal in each regional image according to the first coordinate corresponding to each pixel point; and establishing a coordinate system according to the contour boundary of the target open field in the regional image, and drawing the motion trail of the experimental animal in the coordinate system according to the second coordinates corresponding to the centroids, so as to reduce the time cost in open field experimental data analysis and improve the analysis efficiency and accuracy of open field experimental data analysis.

The invention discloses a testbed and method for testing a state of a wireless sensor network. The testbed comprises a tested network and a monitor platform. A controller node is connected with the monitor platform through a serial port, commands sent by the monitor platform are sent to other nodes, and meanwhile data sent by other nodes are received. A coordinator node is responsible for setting up a ZigBee network, and a routing node assists the communication between the controller node and a remote node. All nodes except for the controller node record experimental data in a node communication process and upload the experimental data to the controller node, and the controller node analyzes network performance according to the experimental data. According to the method, when a user wants to test the change of the network performance of a tested node, the monitor platform sends experimental parameters to the controller node to set an operation, and testing on the network is achieved.

The invention provides a curve colored pavement design method based on excellent driver driving trajectories. The method determines the shape of a curved colored pavement according to the driving trajectory law of excellent drivers at the curve. The method includes: selecting excellent drivers as the experiment objects; designing and implementing a driver curve experiment to collect the driving trajectory data of the excellent drivers at the curve to obtain experiment data; analyzing the experiment data to obtain the driving trajectory law, namely curve man-simulation trajectory reference lines, of the excellent drivers at the curve; designing the shape of the curve colored pavement according to the driving trajectory law of the excellent drivers at the curve. The method has the advantagesthat the driving trajectory features of the excellent drivers at the curve are applied to unmanned vehicles in the form of colored pavement, construction convenience is achieved while a complex routeplanning process is avoided, and man-simulated-trajectory driving of the unmanned vehicles at the curve can be achieved by directly following the boundary line of the colored antiskid pavement.

The invention discloses a bearing composite fault diagnosis method based on minimum correlation local non-negative matrix factorization. The method comprises the following steps: firstly, introducing a grasshopper optimization algorithm to optimize variational modal decomposition parameters, adaptively determining an optimal modal number and a penalty factor, inputting the optimal parameters into variational modal decomposition to decompose a vibration signal to obtain a plurality of modal components, and reconstructing the modal components to obtain an input matrix; secondly, introducing the minimum correlation constraint into a local non-negative matrix to form a minimum correlation local non-negative matrix factorization algorithm, reconstructing a plurality of modal components and an original signal into a modal matrix, and calculating the optimal dimension of the minimum correlation local non-negative matrix factorization; then performing optimal dimensionality decomposition on the input matrix by using a minimum correlation local non-negative matrix decomposition algorithm to obtain a basis matrix W and a coefficient matrix H, and finally performing envelope spectrum analysis on the basis matrix W to separate coupled bearing composite fault signals. The effectiveness of the method is verified through simulation analysis of the composite fault signal. The experimental data analysis result also shows that the method can effectively separate and diagnose the bearing composite fault.

The invention discloses an improved self-adaptive frequency modulation mode decomposition time-frequency analysis method. According to the improved self-adaptive frequency modulation mode decomposition, a conditional entropy optimization self-adaptive frequency modulation mode decomposition threshold value and a polynomial frequency modulation transformation estimation initial instantaneous frequency method are adopted to process relatively close and weak signal components. Compared with a traditional time frequency detection method, the improved self-adaptive frequency modulation mode decomposition can effectively solve the problem that interference exists between gear box vibration signal components under the strong interference condition. The improved self-adaptive frequency modulation mode decomposition can effectively extract fault characteristics and generate a high-resolution time-frequency representation result, clearly represent characteristic components related to faults in vibration signals, and effectively identify local faults of the planetary gearbox. The effectiveness of the method is verified through simulation analysis of fault signals of the variable-speed gearbox. Experimental data analysis results also show that the method can effectively diagnose faults in the variable-speed gearbox.

The invention relates to the technical field of mineral geological exploration and particularly discloses an environmental index method for dividing epigenetic alteration of in-situ leaching sandstonetype uranium ore rocks. The method comprises steps of 1, setting a rock environment index sample; 2, performing field on-site sampling; 3, carrying out experimental analysis on the sample, feeding the sample into a laboratory in time after sample sampling, and carrying out rock specific potential determination delta Eh, low-valence sulfur S2- analysis and organic carbon Cy analysis; and 4, analyzing, sorting and utilizing experimental data. The method is advantaged in that three kinds of rock environment index analysis data such as the rock specific potential delta Eh, low-valence sulfur S2-and organic carbon Cy which are slightly influenced by air are selected for combined judgment, the rock geochemical environment can be accurately judged, the rock epigenetic alteration intensity can be determined, zoning property of a rock epigenetic alteration zone of the in-situ leaching sandstone type uranium ore is researched, judged and divided, quantitative gamma logging data is combined, uranium-bearing property and uranium enrichment factors are analyzed, and the uranium ore occurrence position is accurately captured.

The invention discloses a civil engineering experiment detection system based on a cloud computing technology. The civil engineering experiment detection system comprises an online data input module,a construction period reminding module, an experiment out-of-tolerance judgment module, an experiment data analysis module, an experiment result judgment module, an experiment report arrangement module, an experiment instrument account recording module and an experiment detection account arrangement module. The detection process comprises the steps of sending the detection parameter information and the corresponding experiment operation regulations, matters needing attention and other information to a cloud center, using the cloud center to send the information to a detector through GPRS / GSM,and enabling the detector to receive the experiment information through a mobile phone APP and then conduct an experiment. Meanwhile, the experimental data in the detection process are tracked, judged and analyzed in the whole process, so that the authenticity and the uniqueness of the data in the experiment detection process are effectively controlled, meanwhile, the automatic error correction of the experiment data and the intelligent judgment of the experiment results can be achieved, the experiment process can be effectively controlled, the experiment detection time can be saved, and a large amount of manpower and financial resource input can be saved.