97 results about "Data processing software" patented technology

The invention relates to the technical field of garbage recognition, and particularly discloses an intelligent garbage recognition system and method based on multi-modal fusion, a hardware sensing unit is composed of a three-dimensional vision module, a touch sensing module and a near infrared spectrum module, and point cloud data, a pressure distribution matrix and spectrum data of garbage are obtained respectively; and an edge computing unit is equipped to carry an NPU acceleration chip for data processing. And the software module realizes multi-modal feature fusion by using ResNet-50, LSTM (Long Short Term Memory), 1D-CNN (Convolutional Neural Network) and Transform Encoder, and is also provided with a multi-sensor timestamp synchronous controller. And the dynamic feature database starts online learning to update the material feature library when the garbage recognition confidence coefficient is lower than 85%. During feature fusion, a cross-modal feature mapping relation is established, the weight is adjusted through an attention mechanism, and dynamic learning adopts a model lightweight method based on knowledge distillation. And starting an arbitration mechanism to correct the classification result when different modal identification results conflict. According to the method, the advantages of different modal data are fully utilized, and the recognition capability in a complex environment is improved.

The invention discloses a mining-while-digging earthquake advanced detection system based on distributed optical fiber acoustic sensing. Relates to the technical field of seismic exploration. On the basis of a distributed optical fiber acoustic sensing technology, mining-while-digging seismic detection of a working face is realized by utilizing vibration generated by cutting a coal rock stratum by mining machinery. In the production process, the detector collects vibration data of mining machinery and transmits the vibration data to the server through a network; optical cables are arranged on two sides of a coal face upper and lower crossheading or two sides of a driving face roadway; the demodulator emits pulse laser and transmits the pulse laser to the working face optical cable through the industrial looped network or the independent fiber core, vibration of measuring points at equal intervals of the optical cable is measured, and a measuring data packet is returned to the demodulator through the industrial looped network or the independent fiber core; the demodulator demodulates vibration waveform data and uploads the vibration waveform data to the server; server data processing software carries out noise reduction processing on the waveform, then stores and images the waveform, carries out real-time intelligent interpretation, and realizes detection of a geological structure and an abnormal area in front of a working face.

The invention relates to a method for extracting the mass center of a laser spot image based on laser size and gray scale, and relates to the technical field of digital image processing, optical testing and Matlab programming. The method comprises the following steps: step 1, obtaining a fourth grayscale image; 2, processing the generated fourth gray level image, and solving an X coordinate value and a Y coordinate value of the mass center of each image in the test time period; and step 3, obtaining a final centroid coordinate value. According to the method for extracting the mass center of the laser spot image based on the laser size and the gray level, the influence of noise points, stray light and the like on the overall measurement result is reduced to the maximum extent, meanwhile, the numerical image processing process is clear in logic and reasonable in analysis, the actually obtained result meets the expectation, data calculation is simple, and the processing process is efficient and rapid. And adopted data processing software is also universal and common, and is easy to popularize.

The invention discloses an ethylene oxide detection and analysis method, which belongs to the technical field of detection and analysis, and comprises the following steps: weighing a sample to be detected, adding deuterated internal standard ethylene oxide-D4, and dissolving the sample with a low-temperature mixed solvent to obtain a sample solution; uniformly mixing the sample solution, adding a purifying material for purifying, uniformly mixing and centrifuging to obtain supernate; putting a part of the supernate into a small solid-phase microextraction bottle, adding sodium chloride, and uniformly mixing to obtain a solution to be detected; placing the small solid-phase microextraction bottle filled with the solution to be detected on a gas chromatograph-tandem mass spectrometer with a CTC automatic solid-phase microextraction sampling device, and extracting and detecting the prepared solution to be detected; and analyzing the data acquired by the mass spectrum by utilizing Agilent MassHunter data processing software. According to the method, volatile components in a sample are enriched, concentrated and then detected, the residual amount of ethylene oxide in the fat-soluble plant extract can be directly and quantitatively analyzed, the sensitivity is high, and the accuracy is good.

The invention discloses a microstructure digital processing method and system for a metal material EBSD result, and the method comprises the steps: defining the physical orientation of a material, namely describing the orientation of a crystal through three continuous rotations; performing image processing on the acquired microstructure image to obtain a distribution rule of crystal grains; the microstructure of the material is re-identified and combined, and small crystal grains which cannot be identified in EBSD data processing software are eliminated; assigning the microstructure image obtained by re-identification to obtain a material microstructure segmentation result; and linking the crystal grains with Euler angle orientation exported from EBSD data processing software to obtain orientation distribution data of the microstructure of the material. On the basis of EBSD data processing software, grain distribution and Euler angle orientation information in the EBSD data processing software are extracted, the Euler angle orientation information can be used for subsequent cellular automaton model and theoretical analysis, the resolution can be adjusted according to needs, and the recognition precision is improved.

The invention belongs to the technical field of laser additive manufacturing, and discloses a preparation process for additive manufacturing of a pure titanium part, the pure titanium part and application. The preparation process for additive manufacturing of the pure titanium part comprises the steps that a three-dimensional model diagram of the pure titanium part is created, and an STL file is generated; the STL file is imported into data processing software to be subjected to hierarchical slicing processing, and a scanning path is generated; pure titanium powder is adopted as raw material powder, laser powder bed melting additive manufacturing is carried out, and a blank is obtained; the blank is subjected to heat treatment and surface treatment, and the additive manufacturing pure titanium part is obtained; wherein the heat treatment sequentially comprises first-stage heat treatment and second-stage heat treatment; the surface treatment comprises surface polishing. According to the preparation process for additive manufacturing of the pure titanium part, internal defects can be reduced, grains are refined, residual stress is reduced, and the surface quality is improved, so that the plasticity (elongation after fracture) and the fatigue performance of the pure titanium part are remarkably improved.

The invention relates to the technical field of signal communication, in particular to a city domain railway millimeter wave signal coverage model construction method and device, and the method comprises the steps: S1, environment feature parameter extraction; the method comprises the following steps: (1) geographic information acquisition: performing preliminary analysis on landforms along urban railways by using data of a high-precision geographic information system (GIS) through professional geographic data processing software, and extracting rough topographic contours including position information of tunnels, open areas, platform scenes and the like; (2) building information collection: for buildings around a ground road section, rapidly and accurately obtaining distribution, height and material information of the buildings by using a three-dimensional laser scanning technology, accurately analyzing signal propagation loss, and combining a channel state prediction model constructed by LSTM to obtain building information; according to the method, the coverage range and the signal strength of the millimeter wave signal in different scenes and the future channel state can be predicted more accurately, and more accurate data support is provided for design and optimization of a communication system.

The invention belongs to the technical field of underground pipeline positioning and classification, and discloses an automatic underground pipeline identification and classification system. According to the method, a multi-parameter evaluation system of pipeline contour integrity, pipeline diameter volatility, waveform distortion degree and hyperbola deformation condition is constructed, so that the covering condition is comprehensively judged; the covering condition caused by factors such as pipeline overlapping and medium interference is effectively identified, and leak detection of deep or shielded pipelines is avoided; according to the method, the convex hull filling rate is used as a judgment basis, the area lower than the threshold value is judged as a misrecognition cavity through quantitative calculation of three-dimensional data processing software, the situation that an underground cavity is misjudged as a pipeline is avoided, and the data authenticity is improved; according to the method, inclined secondary scanning is carried out on the suspected covering area, two inclined scanning paths are designed, directional detection of the deep covered pipeline is achieved, the view angle limitation of traditional vertical scanning is broken through, and the detection success rate in a complex laminated pipeline scene is remarkably improved.

The invention discloses a circuit board general online test method and system. The system comprises a master control system, a tool box, an online conveying device, an automatic docking device and a circuit board general test device. A general control system, an automatic docking device and a circuit board universal testing device are arranged on the side of the near end of the online conveying device, the automatic docking device is located on the other side, and the general control system is in communication connection with the online conveying device, the automatic docking device and the circuit board universal testing device; the tool box loaded with the circuit board to be tested is conveyed to the automatic butt joint device through the online conveying device, and the automatic butt joint device automatically achieves electrical butt joint between the tool box and the circuit board universal testing device. Test and data processing software is arranged in the circuit board general test device, and the test software is used for testing voltage, current, resistance, frequency and / or waveform of different circuit boards and carrying out data acquisition, statistical analysis, test report generation and the like. According to the invention, automatic on-line testing of different circuit boards is realized.

The invention discloses a DNA molecular marker rapid detection system and method based on imaging spectrum light splitting, and belongs to the technical field of molecular biological detection. The system comprises an exciting light array 1, a receiving and transmitting integrated detection light path 2, an optical fiber transmission array 3, a light splitting module 4, spectral data processing software 5 and a push-broom structure 6. The excitation light array 1 realizes excitation of different labeled samples; the receiving and transmitting integrated detection light path 2 reflects and focuses the array exciting light to a sample and converges fluorescence generated by the sample to an optical fiber input end; the optical fiber transmission array 3 realizes single-row multi-sample fluorescence transmission; the light splitting module 4 is used for dispersing exciting light and fluorescent light of multiple samples in a single row; the spectral analysis processing software 5 is used for acquiring and preprocessing data; the push-sweeping mechanism 6 realizes row-by-row detection of multiple rows of samples. According to the technology, high-throughput, high-sensitivity and rapid detection of the DNA molecular marker is realized. The method is suitable for the fields of fake material evidence identification, food and biological safety and the like, and has the advantages of simplicity and convenience in operation, strong anti-interference performance and the like.

The invention relates to the technical field of insulation rope detection, and discloses a high-precision measurement and surface defect identification insulation rope full-automatic detection system, which comprises a take-up and pay-off module, a laser measurement module, an AI visual detection module, a tension control module, a data transmission module and a data processing module, and is characterized in that the take-up and pay-off module comprises an active take-up and pay-off mechanism; the laser measuring module comprises a high-precision laser diameter measuring instrument; the AI visual detection module comprises a YOLOv8 visual detection system; the tension control module comprises a pneumatic tension controller; the data transmission module comprises an industrial Ethernet, and the data processing module comprises an industrial computer and professional data processing software. According to the full-automatic insulation rope detection system with high-precision measurement and surface defect identification, full-process automation of insulation rope detection is realized, and the problems of low efficiency, poor precision and high false alarm rate of traditional manual detection are solved.

The invention discloses a pluggable software three-party equipment access method, and relates to the technical field of chromatographic data processing software systems. The software automatically scans the configuration file under the specified directory in the starting process; if yes, loading the data into a memory; analyzing the configuration file according to a preset analysis rule; the software receives the equipment which is selected by the user through the software interface and needs to be connected, finds the information structure body corresponding to the equipment selected by the user, and communicates and controls the equipment through the control logic in the information structure body; and after the equipment responds, the software collects response data through the data interaction logic in the information structure body and displays the response data to the user. By defining a standardized equipment access specification, equipment driver development and software main body implementation are separated, so that a third-party equipment developer can independently develop an equipment driver module according to the specification, a real plug-and-play function is realized, and the flexibility, expandability and maintenance efficiency of the system are remarkably improved.

The utility model relates to the technical field of heat supply pipe detection, and discloses a heat supply pipeline leakage monitoring device. The objective of the utility model is to solve the technical problems of high manual inspection cost, untimely water leakage point discovery, insufficient detection data accuracy and lack of remote monitoring capability in the prior art. The device comprises a temperature sensor and a liquid level sensor, the detection signal output end is connected with the microcontroller through the signal processing circuit so as to collect temperature and liquid level data of the sensing module, and the microcontroller is connected with the application module through the wireless transmission module; the application module comprises a data processing part and a display interaction part, the data processing part comprises a computer provided with data processing software, and the display interaction part comprises a display screen arranged in the examination room and mobile electronic equipment provided with a client. The system can monitor whether the pipeline leaks or not, reduces energy loss, reduces inspection cost, and is efficient in early warning, high in detection speed and high in precision.

The application discloses a kind of multi-beam outlier automatic filtering methods combined with uncertainty and density clustering algorithm, belong to multi-beam sounding data processing technical field.The application constructs grid node absorbable water depth point selection model according to CUBE filtering algorithm, and gridding is carried out to sounding data;The one-dimensional clustering of node absorbable water depth value is carried out using DBSCAN clustering algorithm, a plurality of water depth hypotheses are constructed according to the difference between water depth values, then the water depth hypothesis and uncertainty of node are updated using Kalman filter;Finally, the water depth hypothesis with higher reliability is selected from a plurality of water depth hypotheses as the real water depth value of node.The application can provide a kind of multi-beam sounding data automatic cleaning algorithm selection for domestic multi-beam sounding data processing software.

The invention relates to the field of active phased arrays, and provides a digital array ground installation pattern test method and system, and the method comprises the steps: achieving the time synchronization of a digital array and a test control system through a synchronization pulse; under time synchronization, a radio frequency digital chip in the digital array completes test data acquisition and storage according to a control instruction; and reading the stored test data, and obtaining a digital array installation directional diagram in each working mode through offline calculation in data processing software. The invention provides an effective solution for radio frequency digital integrated multifunctional digital array directional diagram test, and can be expanded to be used for digital array G / T value test.

The invention discloses a centrifugal switch vibration signal acquisition and analysis method, and relates to the technical field of centrifugal switch testing, and the method comprises the steps: designing a vibration signal acquisition circuit frame which comprises a vibration sensor, a signal conditioning circuit, a band-pass filter, a high-speed data acquisition circuit and data processing software; establishing a signal conditioning circuit, wherein the signal conditioning circuit comprises a constant current source module, a signal blocking module, a buffering and amplifying module, a direct current bias level adjusting module and a low-pass filtering module; building a band-pass filter, and using an active second-order low-pass filter and an active second-order high-pass filter to improve the bandwidth of the band-pass filter; a high-speed data acquisition circuit is established, and a high-precision AD sampling chip is adopted to acquire data; analyzing the collected data through data processing software by using a wavelet transformation algorithm and a sliding window standard deviation algorithm to obtain a vibration signal starting moment; when the vibration signals are collected, the precision is high, and the vibration time is accurately judged.

The application discloses a method for analyzing the existence form of As elements in pyrite based on a combination of multiple methods, which comprises the following steps: S1, selecting pyrite particles containing multiple ring zones as the object to be detected; S2, performing electron probe analysis to circumscribe the further analysis area; S3, judging the substitution property of As to Fe or S to preliminarily determine the existence form of As elements; S4, performing focused ion beam processing and spherical aberration transmission electron microscope analysis to shoot HAADF and ABF images; and S5, analyzing the spherical aberration transmission electron microscope images by using DigitalMicrograph data processing software to analyze the intensity difference of Z contrast microscopic images of different atomic sites and the abnormal atomic space occupation of heavy elements and light elements in the ABF images. The application is based on the combination of electron probe and spherical aberration transmission electron microscope, can finely analyze the existence form of As elements in pyrite from the micron to nanometer scale, and has high reliability and sufficient substantial evidence.

Suturing simulation systems and related methods comprising a table, a membrane housing associated with the table, a suturing membrane attached to the membrane housing, an internal camera disposed within the membrane housing, and at least one sensor associated with the table, wherein the internal camera and the at least one sensor are configured to collect suturing data. Other systems and methods include a data collection software module configured to synchronize the suturing image data from the internal camera and the suturing sensor data from the at least one sensor, thereby resulting in synchronized suturing data, and further can include a data processing software module configured process and extract metrics from the synchronized suturing data.

The application provides a kind of primary neuron cell golgi staining method and application based on lipid, comprising the following steps: 1) extracting, culturing and fixing primary neuron cell;2) selecting one kind of lipid in phosphatidylcholine, phosphatidylethanolamine, sphingomyelin, cholesterol, lecithin;3) the selected lipid is evenly covered on the cell surface, and Golgi staining solution is added for staining;4) remove Golgi staining solution, and use reducing agent for developing reaction;5) optical microscope imaging observation and / or simultaneous radiation X-ray imaging observation;6) the imaging data is analyzed and processed using data processing software.The application successfully stains primary neuron cell, and under the simultaneous radiation X-ray imaging technology, neuron dendrite and morphology can be observed, which lays a good research foundation for using simultaneous radiation X-ray to quantitatively study neuron complete three-dimensional structure and complete three-dimensional fine structure of neuron.

The application discloses a kind of detection Zanhuang triploid jujube flower honey by ultra-high performance liquid chromatography fingerprint method, belong to analytical chemistry technical field.The application is extracted to the sample to be measured by trifluoroacetic acid, acetonitrile, after concentration and redissolving, the fingerprint of sample solution is determined by high performance liquid chromatography under 213nm wavelength, using traditional Chinese medicine fingerprint similarity software compares and calculates the similarity of sample and Zanhuang jujube flower honey control fingerprint, according to the similarity of sample is identified.Therefore, the detection method of the application can simultaneously analyze the overall composition and proportion relationship of multiple components, form the overall "fingerprint", improve the accuracy of identification.At the same time, the detection method of the application is more efficient, a large amount of chemical information can be obtained by instrument analysis once.Combined with automatic sample pretreatment equipment and intelligent data processing software, high-throughput screening can be realized, more suitable for market supervision and large-scale quality control.

The different-height intersection road building method, device, equipment and readable storage medium, the different-height intersection road building method includes: using simulation scene software to build multiple branches with inconsistent heights, forming an intersection according to the traffic logic of each branch, and importing the three-dimensional data of the intersection into a three-dimensional data processing software; using the three-dimensional data processing software to modify the intersection based on the three-dimensional data of the typical intersection, fill the gaps between the roads in each intersection, and generate a new three-dimensional model of the intersection, convert the new three-dimensional model of the intersection into an OpenCRG file describing the micro features of the road and a general three-dimensional model file using a conversion module, and modify the intersection built in the simulation scene software simultaneously; import the new three-dimensional model of the intersection and the OpenCRG file into the simulation scene software of the built branches, perform coordinate conversion and adaptation, superimpose the built branches and intersections in the simulation scene software, the new three-dimensional model of the intersection and the OpenCRG file, and complete the simulation building of the intersection road.

A method for constructing artificial pillars in large goaf areas using controlled blasting and slotting includes the following steps: S1. Based on three-dimensional laser scanning and ground pressure monitoring data, a three-dimensional digital model is generated using data processing software to identify potential high ground pressure instability risk areas and determine the location, shape, and size parameters of the artificial pillars; S2. Main blasting holes, cutting holes, and auxiliary holes are arranged in the corresponding area of ​​the goaf roof to form a controlled blasting slotting design; S3. A reinforcing cage is installed at the bottom of the goaf, and the pillar mold is installed and assembled; S4. Using a micro-delay detonation method, the cutting holes, auxiliary holes, and main blasting holes are detonated sequentially, causing the roof rock to directionally collapse and fall into the reinforcing cage directly below, filling and compacting to form a composite artificial pillar; then, the outer mold is removed, completing the construction of the artificial pillar. This invention achieves an integrated and coordinated process of blasting pressure relief, crushed stone utilization, and pillar construction, with advantages of simplified procedures, minimal disturbance, and high stability.

The invention is suitable for the field of additive manufacturing, and provides an integral turbine integral forming additive manufacturing method which comprises the following steps: establishing a three-dimensional digital model of an integral turbine part by utilizing three-dimensional modeling software; adding support to the whole turbine part by using data processing software; slicing and layering the model by utilizing subdivision software, planning a scanning path, and importing the scanning path into control software of electron beam powder bed melting equipment; tiAl alloy powder and a substrate are put into electron beam equipment to complete leveling preparation, and a gun chamber and a forming chamber are vacuumized and filled with a certain amount of helium; according to the method, through three-dimensional modeling, targeted supporting design, precise slicing and scanning path planning, and in combination with substrate preheating, layered powder laying and presintering, melting forming and heat preservation, vacuum cooling and cleaning and hot isostatic pressing treatment, the TiAl alloy microstructure can be optimized, the high-temperature strength, creep resistance and durability of parts are improved, the manufacturing period is shortened, and the cost is reduced; and the forming qualification rate is improved.

The invention relates to the technical field of high-strength steel production, in particular to an ultrahigh-strength steel cold-rolled material constitutive hardening model construction method. Simulating rolling; measuring mechanical properties; data processing and drawing; and performing linear fitting. The method has the advantages that based on the idea of combining physical experiments and mathematical modeling, a constitutive model is established through the systematized process of'simulated rolling + mechanical property measurement + double logarithmic linear fitting ', data processing software is adopted for data processing and linear regression, a power function hardening model is obtained, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. The method shows excellent fitting precision in 980MPa and 1180MPa ultrahigh strength steel, the model has clear statistical support, and the prediction accuracy and reliability of the material hardening behavior are remarkably improved; the whole modeling process is clear in step and conventional in equipment, only a conventional two-roller cold rolling mill, a universal tensile testing machine, a wire cutting machine and general data processing software are needed to complete the modeling process, and the whole process from sample preparation to model output is high in standardization degree.

The present application relates to a kind of fA grade weak current signal software filtering method, electronic equipment and storage medium, filtering method includes the following steps: setting sampling parameter, calculate sampling point number preset target value;Start AD data acquisition, when sampling point number reaches preset target value, trigger data processing software interrupt, and carry out first-stage filtering processing;Call back secondary filtering processing function, carry out secondary filtering processing, obtain filtered voltage value, first-stage filtering uses arithmetic average filtering algorithm, secondary filtering uses recursive average filtering algorithm.The present application, by arithmetic average filtering algorithm superimposed recursive average filtering algorithm of two-stage software filtering algorithm can be sequentially effectively filtered out periodic and aperiodic interference in weak current signal, realize the effective extraction of system thermal noise in micro-current signal and filter out, and to the greatest extent, retain signal dispersion, make the fitting curve after filtering and actual curve further coincide, effectively improve measurement accuracy.

The present invention discloses a method for measuring the flatness of the bottom plate of open-pit bench blasting based on three-dimensional laser scanning, which includes the following steps: collecting the coordinates of base station control points, collecting the coordinates of bottom plate boundary points, scanning the bottom plate, obtaining the initial model, obtaining the final model, obtaining the data of uneven areas, drawing the graphics of uneven areas, and calculating the proportion of uneven areas. The beneficial effects of the present invention are as follows: through the three-dimensional lidar scanner, the surface coordinate data of the bottom plate of open-pit mine bench blasting can be quickly obtained, and then using the supporting data processing software and post-processing software, the areas that do not meet the requirements are selected in combination with the flatness requirements of the floor, and the proportion of the uneven areas in the bench bottom plate is calculated. This method can effectively improve the measurement efficiency, save manpower and reduce labor intensity, and can also effectively improve the measurement accuracy. The proportion of uneven areas in the bench bottom plate can be used as the basis for judging whether it is necessary to carry out leveling work, and can be used to guide the leveling construction of the bench bottom plate when necessary.

The invention discloses a troposphere delay modeling method based on multi-source data, a storage medium and equipment, and the method comprises the steps: estimating first troposphere delay data through GNSS data processing software, and recording the position information and observation time of each GNSS observation station; calculating second troposphere delay data based on observation data of each weather station, and recording position information and observation time of each weather station; constructing a troposphere delay polynomial model according to the position information of the GNSS observation station and the position information of the weather station; constructing a training sample according to the position information of each GNSS observation station, the first troposphere delay data, the position information of each meteorological station and the second troposphere delay data under the same observation time, and optimizing and solving polynomial parameters of a troposphere delay polynomial model; and calculating troposphere delay data at any specified position by using the troposphere delay polynomial model under the optimal polynomial parameters. According to the invention, high-precision and high-temporal-spatial-resolution troposphere delay modeling is realized.

The invention provides a mass geometric point quick searching method and device based on a two-dimensional non-uniform grid, and belongs to the technical field of seismic data processing software. According to the method, ordered two-dimensional non-uniform grid indexes are established according to the sorting of the X and Y coordinates of all geometric points in the two-dimensional plane scatter diagram, then searching is carried out in the X and Y directions, the positions of the geometric points in the seismic data array can be rapidly positioned, corresponding seismic data information is obtained and processed, and the larger the data size is, the larger the data size is, the larger the data size is. Compared with a conventional searching method, the method has higher efficiency, is very suitable for interactive application scenes such as quickly searching seismic data information on massive two-dimensional plane scatter graphs in a seismic data processing system, and can provide quick and stable interactivity, and a man-machine interface is used for displaying and processing the seismic data information, so that the method is more convenient to use. The interaction response time of the seismic data processing system is greatly reduced, and the efficiency and stability of the seismic data processing system are improved.

The invention relates to a license processing method, device, system and equipment for seismic data processing software. The method comprises the following steps: acquiring the number of system licenses corresponding to the seismic data processing software and the number of current operation request users; judging whether the number of system licenses is smaller than the number of current job request users or not, if yes, sorting the job requests of the users to generate a queuing sequence, and sequentially distributing the licenses with the number of the system licenses to the users according to the sequence of the queuing sequence; obtaining an operation result of the seismic data processing application software corresponding to the user with the distributed license; and when the running result is running end or running error, taking back the license permission of the user and distributing the license permission to the next user in the queuing sequence. Therefore, after the operation of occupying the permission by the user is finished, the permission can be recycled for redistribution, so that the idle permission is reduced, the utilization efficiency of the permission can be improved, and the waiting time of the subsequent user is reduced.

The invention belongs to the technical field of rock-soil thermal response tests, and discloses a rock-soil thermal response test device and an intelligent data processing method.The rock-soil thermal response test device comprises a buried pipe water circulation system and a data acquisition and control system; the buried pipe water circulation system comprises a double-U-shaped buried pipe, a heating box, a water tank and a circulating water pump and is used for providing power for water circulation in the double-U-shaped buried pipe and heating circulating water according to set power. The data acquisition and control system comprises a plurality of data acquisition units, a temperature measuring line, a controller, a gateway, an antenna and a touch screen, and is used for acquiring real-time data of each monitoring point in the test process, uploading test data to the cloud platform and controlling start and stop and power adjustment of the circulating water pump and the heating box; and data processing software preset in the cloud platform can perform analysis processing, parameter calculation and result output on test data after the test, so that intelligent processing of the test data is realized, and the efficiency of obtaining the result of the rock-soil thermal response test is greatly improved.