435results about How to "Easy to compare" patented technology

The invention relates to the technical field of database establishment, in particular to a book library establishment method and system based on multi-version annotation. Preprocessing the data; comparing and analyzing the book contents of different versions by using a text comparison algorithm to generate a version difference report; performing preliminary annotation association; annotations between versions are traced and associated, a multi-version annotation comparison function is provided, a user can check annotations in different versions at the same position at the same time, and comparison and analysis are facilitated; storing data; designing a user interface, and providing functions of book version selection, content browsing and annotation viewing; recommending and optimizing intelligent annotations; authority control; according to the method, through intelligent annotation recommendation and optimization functions, a user can efficiently manage annotation information, repeated labor is avoided, and the utilization rate and management efficiency of annotation are improved.

The invention relates to a soil health evaluation method and device based on soil multifunction, and the method comprises the steps: collecting a soil health index value of a to-be-evaluated region according to a preset collection index; performing function division on the collection indexes to obtain a plurality of soil function categories; respectively calculating soil function scores corresponding to a plurality of soil function categories according to the soil health index values; performing clustering analysis on the plurality of soil function categories of the to-be-evaluated region to obtain weight distribution of the soil function categories; according to the weight distribution and the soil function score, calculating to obtain a soil multifunctional index of the to-be-evaluated region; and performing soil health evaluation on the to-be-evaluated area according to the soil multifunctional index to obtain an evaluation grade. According to the invention, the performance of the soil in different functional aspects can be reflected more accurately, and the soil health condition can be evaluated accurately.

The invention relates to the technical field of image recognition, in particular to a deep learning method and system for printed circuit board defect recognition. The method comprises the following steps: obtaining an original image set of the printed circuit board and carrying out image enhancement to obtain an enhanced image set of a circuit board main body; identifying the circuit board main body enhanced image set to obtain a circuit board level function module image set; performing convolution extraction based on the circuit board hierarchical function module image set to obtain defect area image hierarchical feature data; correcting the defect image set of the hierarchical function module to obtain an actual defect image set of the hierarchical function module; identifying according to the actual defect image set of the hierarchical function module to obtain defect mode data of the circuit board; and performing defect mode feature extraction based on the circuit board defect mode data to obtain a defect mode feature vector set, and performing classifier construction according to the defect mode feature vector set to obtain a printed circuit board defect identification model. According to the invention, the defect identification efficiency can be improved.

The invention discloses an intelligent security monitoring and early warning method and system for an industrial control network, relates to the technical field of network security monitoring, and can collect multi-dimensional data such as network traffic, user behaviors and equipment states in real time through a data acquisition module and a system to ensure the timeliness and comprehensiveness of monitoring. Therefore, potential security threats can be quickly identified, and the overall security protection capability is improved. And the data preprocessing module cleans and standardizes the collected data, so that the data quality and consistency are improved, a reliable basis is provided for subsequent risk assessment, and misjudgment caused by data inconsistency is reduced. And the risk assessment module calculates a comprehensive risk index through a multi-dimensional assessment formula, different types of security threats can be identified more accurately, and a scientific basis is provided for a subsequent early warning mechanism. The multi-level early warning mechanism module divides the risk into a low level, a middle level and a high level according to the comprehensive risk index, and a targeted response strategy can be realized.

The invention relates to the technical field of tower checking, in particular to an electric tower standing book checking method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of groups of satellite remote sensing images in a to-be-checked region, carrying out the image processing of the plurality of groups of satellite remote sensing images, and obtaining a tower panoramic satellite image of the to-be-checked region; tower feature recognition is carried out on the tower panoramic satellite image, and tower image recognition feature information of all towers in the to-be-checked area is obtained; the tower image recognition feature information comprises tower center point coordinates, tower height and tower type; on the basis of the tower image recognition feature information, conducting wire feature recognition on the tower panoramic satellite image, and conducting power line connection on the basis of a wire feature recognition result to obtain a power line distribution diagram in the to-be-checked area; according to the method, errors and missing information in the tower standing book can be found and corrected in time, and accurate and reliable power grid architecture and equipment condition information can be provided for operation and maintenance personnel.

The invention discloses a combined retrieval optimization method and system based on artificial intelligence, relates to the technical field of artificial intelligence, and solves the problem that artificial intelligence only simply outputs retrieval contents associated with retrieval texts and cannot determine extended texts of the retrieval texts based on historical records. According to the method, the input retrieval text is subjected to initial processing, internal useless vocabularies and related symbols are removed, the corresponding keyword text is obtained, other combined texts with related vectors are recognized from historical retrieval records on the basis of the related vectors of the keyword text, and the retrieval efficiency is improved. According to the method, a combined text is obtained, vector position confirmation, vector length proportion and retrieval times are sequentially confirmed on the combined text, a similar text closest to the retrieval text is locked, and the similar text and the retrieval text are synchronously retrieved, so that normal retrieval of the retrieval text can be guaranteed, and the effect of combined retrieval is achieved synchronously.

The invention discloses a method and a system for estimating the running state of a low-voltage power distribution network, and provides a comprehensive evaluation strategy for the running state of the power distribution network in consideration of the increase of the probability that the low-voltage power distribution network runs in an unsafe and normal state after large-scale distributed photovoltaic access to the low-voltage power distribution network. The method is used for accurately and efficiently knowing the operation state of the high-proportion distributed photovoltaic low-voltage power distribution network. According to the method, the combined weighting method is adopted, the subjective weight and the objective weight are adopted as upper and lower limits of the combined weight, and the variable coefficient maximization combined weighting method is adopted, so that the low-voltage power distribution network operation state evaluation results have relatively large differences, evaluated objects can be effectively distinguished, the evaluation results are conveniently compared, and the evaluation efficiency is improved. And the evaluation result is more accurate.

The invention relates to the technical field of pilot state monitoring, in particular to a pilot state monitoring and flight data real-time synchronous fusion system, which comprises an information acquisition module used for acquiring physiological state information of a pilot and flight data information of an airplane in real time; the intelligent control module is used for controlling the operation of the camera, the electroencephalogram acquisition device and the electrocardiograph; the information processing module is used for carrying out preprocessing operation on the collected pilot physiological state information and the collected aircraft flight data; and the data fusion module is used for fusing the physiological state information of the pilot and the flight data parameters of the aircraft. The early warning assistance module is used for immediately sending out an early warning signal when an abnormality is found; and positioning information and rescue guidance are provided for a pilot under the emergency condition that the aircraft encounters danger. According to the current attention state and the task requirement of the pilot, the system can dynamically adjust the collection frequency and the collection position of the electroencephalogram collection device so as to improve the efficiency and the pertinence of data collection.

The invention relates to the technical field of data processing, in particular to an intelligent recommendation system fusing big data and AI, and the system comprises a scheme obtaining module which obtains a plurality of target marketing schemes; the scheme analysis module analyzes a plurality of target marketing schemes to determine a plurality of marketing features; the data acquisition module collects a plurality of historical behavior data of a user; the data analysis module analyzes a plurality of historical behavior data to determine user characteristics; the association determination module analyzes association between the user features and the plurality of marketing features based on the initial association AI model, and determines prediction priorities of the plurality of target marketing schemes based on an association analysis result; a recommendation module constructs a user recommendation page based on the predicted priority, and determines target priorities of a plurality of target marketing schemes based on the real-time behavior data of the user; and the feedback module compares a comparison result of the prediction priority and the target priority to adjust the initial association AI model to obtain a target association AI model. According to the invention, the accuracy of personalized marketing scheme recommendation of the user is improved.

The invention relates to an underground pipe network leakage position monitoring method and device, a computer program product and electronic equipment, and belongs to the field of remote sensing monitoring. According to the method, the underground pipe network leakage position in a large-area range of a city is detected by utilizing a remote sensing means. The monitoring method provided by the invention comprises the following steps: determining a bare soil backscattering coefficient of a to-be-monitored area; inputting the bare soil backscattering coefficient into a target soil moisture identification model, and determining the soil mass moisture content of the to-be-monitored area through the target soil moisture identification model; and comparing the soil mass water content of the to-be-monitored area with the leakage soil mass water content threshold value of the to-be-monitored area, and determining the leakage point of the pipeline in the to-be-monitored area. The monitoring method provided by the invention is low in cost, low in manufacturing cost and small in loss, and has the advantages of rapid, lossless and automatic detection of the leakage position point of the pipe network in a large-area range.

The invention relates to the technical field of automobile mold detection, and particularly discloses a visual detection system and detection method based on an automobile mold, the detection system comprises an image acquisition module, a data processing module, a target analysis module and a result output module; the method specifically comprises the steps that historical standard image information of the surface of a standard automobile mold is collected through an image sensor, a three-dimensional vision model is input for construction, standard image contour data are output, historical image contour data and standard image contour data of the same batch of automobile molds are collected for digital processing, and an image matrix of the automobile molds is obtained; constructing a preset analysis model, collecting an image matrix of the current batch of automobile molds in real time to carry out factor matching analysis on a problem area, obtaining a target problem risk strategy, carrying out risk assessment on a simulation operation surface problem state of the current batch of automobile molds, and matching a corresponding adjustment strategy, and outputting a real-time processing adjustment mode corresponding to the automobile die adjustment strategy and outputting an early warning signal.

The invention discloses an invoicing method and device for invoices of multiple invoice types, electronic equipment and a medium, and relates to the technical field of electronic invoices, and the method comprises the steps: obtaining invoicing application information, and generating invoice configuration templates of different invoice types of an invoicing company according to the invoicing application information; determining a target invoice configuration template in the multiple invoice configuration templates, and obtaining an invoice file format rule and a tax rate rule corresponding to the target invoice configuration template; according to the invoice file format rule, rendering to obtain an invoice style file, and according to the tax rate rule and the invoicing application information, determining each invoice amount data; and rendering the invoicing application information and the invoice amount data into an invoice style file to generate a target invoice file. By adopting the method, the problems of low invoicing efficiency and low accuracy can be solved, invoicing of multiple types of invoices can be realized, and the invoicing efficiency and accuracy are improved.

The invention relates to the technical field of energy storage risk prediction, and particularly discloses an electrochemical energy storage risk prediction method, which comprises the following steps of: determining a risk characteristic value of an electrochemical energy storage system, obtaining an abnormal deviation value of an operation environment of the electrochemical energy storage system, and obtaining a risk judgment threshold value of the electrochemical energy storage system; according to the method, the real-time operation state of the electrochemical energy storage system is monitored, whether the electrochemical energy storage system has risks or not is judged by combining a risk judgment threshold value of the electrochemical energy storage system, and the risk level of the electrochemical energy storage system with the risks is determined. According to the method, the problems that the existing risk management system is not easy to carry out and is lack of comprehensive analysis are solved, rapid response and implementation of effective rectification measures are facilitated, the accident occurrence probability is remarkably reduced, the efficiency and pertinence of maintenance work are improved, a perfect risk judgment threshold system is established, potential risks can be systematically identified and evaluated, and the overall risk management capability is improved.

The invention discloses an impact resistance detection device and method for light guide film production, and relates to the technical field of film production. The device comprises a supporting frame and a light guide film which are arranged on a supporting base, and further comprises a positioning unit which is arranged on the supporting base and comprises a positioning assembly and a pushing assembly; the impact unit provided with an impact ball is arranged on the positioning unit and comprises a deflection assembly, an impact assembly and a distance adjusting assembly, the deflection assembly is used for adjusting the angle of the impact assembly, and the distance adjusting assembly is used for adjusting the stroke of the impact ball according to the deflection angle to achieve equal-force impact. The device has the advantages that multi-angle impact resistance detection can be carried out on the light guide film, the detection range is wider, the impact stroke of the impact ball is flexibly adjusted according to the inclination angle after the inclination angle is adjusted, the impact force of the impact ball impacting the light guide film at different inclination angles is kept the same, drop point deviation cannot occur under the action of gravity, and the detection accuracy is improved. And the detection result is more accurate.

The invention discloses a data annotation supply chain collaborative management system and method based on big data analysis, and relates to the technical field of supply chain collaborative management, and the system comprises a data annotation presetting module, a manufacturing progress analysis module, a supply progress analysis module, a distribution progress analysis module and a supply chain completion degree analysis module. The method comprises the steps of setting a preset data label for a supply chain, marking a supply chain name on the preset data label, collecting a product manufacturing process of the supply chain, analyzing the manufacturing process and then converting the manufacturing process into a manufacturing data label, collecting a total product sales progress of the supply chain, analyzing the total sales progress and then converting the total sales progress into a sales data label, and collecting a product sub-sales progress of the supply chain. After the sub-sales progress is converted into the sub-sales data annotation, the sub-sales data annotation is filled with the preset annotation, the unique data annotation of any supply chain is generated, and the predicted production capacity of the next production cycle is stipulated through the data annotation, so that a mode of predicting the production capacity required by the supply chain is provided, the market demand is met, and the product retention time is shortened.

The invention discloses a turbine shell mold with a detachable sand core loose piece, and belongs to the technical field of mold equipment. The turbine shell mold with the detachable sand core movable block comprises a base, a workbench is fixedly connected to the right side of the upper end face of the base, a lower mold is fixedly connected to the upper end face of the workbench, and a demolding mechanism used for ejecting a formed casting out is arranged on the workbench. The casting can be ejected out of the mold cavity through the demolding mechanism to achieve demolding work, so that the process that the casting is manually taken out by workers is omitted, and convenience is achieved; by means of the rotary positioning type placing mechanism, after the castings are ejected out, the castings can be arranged on the limiting columns in a sleeving mode, a worker can stand on one side of the rotary disc, the castings on the limiting columns are inspected one by one in a continuous rotating mode of the rotary disc, unqualified castings can be conveniently found and treated in time, and the unqualified castings are prevented from flowing into the subsequent machining procedure.

The invention discloses a model display control method and device based on a digital twin system, and a medium. The method comprises the following steps: acquiring comprehensive information of a model; performing polygon simplification on the components of the model according to the simplification rate of the components in the comprehensive information to obtain a simplified component set; and rendering the component set according to the attribute data of the component set, and performing display control on the component set of the rendered model. According to the model display control method and device based on the digital twin system and the medium, accurate polygon simplification is performed on model components by using the simplification rate, and the model data volume is remarkably reduced, so that the loading speed is increased, and the system performance is improved; according to the method, rendering and display control are carried out by utilizing the attribute data of the component set, so that the model can still present a high-quality visual effect after being simplified, and the problem that the loading speed of the model is difficult to improve so as to carry out effective display control on the model can be solved.

The invention discloses a river and lake sediment environment quality background value determination and evaluation method, and belongs to the technical field of environment pollution evaluation. Collecting soil of a river and lake to be evaluated or a river and lake buffer zone in the same watershed for analysis to obtain control group data, and taking the control group data as a background reference value; selecting an evaluation point location from the river and lake to be evaluated, collecting sediments and benthonic animals of the evaluation point location, analyzing species composition of the sediments and the benthonic animals to obtain detection group data, and taking the detection group data as an evaluation value; comparing the evaluation value with a background reference value to obtain a pollution value; setting a score assignment standard to assign scores to the pollution value and the benthonic animal diversity, and calculating the score of the evaluation value through a score assignment result; and constructing a river and lake sediment environment quality evaluation index according to the score, and determining the river and lake sediment environment quality condition based on the river and lake sediment environment quality evaluation index. Therefore, the river and lake sediment environment quality condition is comprehensively reflected by improving the accuracy of the background reference and establishing a multi-dimensional index system.

The invention provides a method for screening a potential neoantigen of a tumor from a transposon element. The method comprises the following steps: collecting tumor tissue transcriptome sequencing data and normal tissue transcriptome sequencing data; identifying a TE transcript new type TEtrans based on a TE splicing event; performing feature analysis on the TEtrans; the TEtrans with the potential coding capability is screened out; and identifying the new antigen epitope peptide from the TEtrans: hydrolyzing all open reading frames of the to-be-selected TEtrans into 9 peptides which are mutually overlapped, removing annotated peptide fragments contained in Uniprot, defining the new antigen epitope peptide from the TEtrans according to allele typing of a tumor sample, further comparing the new antigen from the TEtrans with three common new antigens from genomic variation sources, and identifying the new antigen from the TEtrans. And screening to obtain the tumor potential new antigen. According to the invention, a brand new intergene region TE source transcript is successfully identified, and the transcript can be uniquely positioned and accurately quantified, so that a tumor specific transcript is screened as a potential tumor new antigen, and the method has huge potential in the aspect of developing tumor new antigen vaccines, especially tumors with low mutation load.

The invention relates to a salt cavern compressed air energy storage simulation test system and test method. The test system comprises a test model, a ground stress loading system, an air circulation charging and discharging system, a brine drainage system and a data monitoring and collecting system. The test model comprises a surrounding rock model and a salt cavern model, the surrounding rock model comprises a peripheral rock block and an internal salt block, the peripheral rock block is arranged on the outer side of the internal salt block, and the internal salt block is provided with a cavity; the salt cavern models are at least partially arranged on the two sides of the inner salt block in the axial direction, and the salt cavern models can seal the cavity and transmit the load borne by the inner salt block to the peripheral rock block; the ground stress loading can apply a load in a direction from a peripheral rock block to an internal salt block to the test model; the air circulation charging and discharging system is communicated with the cavity, the air circulation charging and discharging system can convey and monitor high-pressure gas, the brine drainage system is communicated with the cavity, and the brine drainage system can convey and monitor brine; the data monitoring and acquisition system comprises a monitoring instrument and a data acquisition instrument.

The invention discloses a line loss monitoring method and system based on load anomaly analysis, and relates to the technical field of power grid monitoring. According to the monitoring method, a monitoring platform assigns field inspection equipment through a field inspection work order for an abnormal user whose electricity utilization is abnormal through analysis, the field inspection equipment comprises data receiving equipment and line load detection equipment, the data receiving equipment receives load data of an abnormal user load metering device in real time, and the line load detection equipment detects the load data of the abnormal user load metering device; and the line load detection equipment receives a data synchronization instruction issued by the monitoring platform, and the line load detection equipment uploads a field load detection result to the monitoring platform in real time under the data synchronization instruction, so that the problem that the monitoring result is influenced by personal behaviors in the monitoring process is solved.

The invention discloses a laser optical fiber polarizer system suitable for compact ring plasma, which comprises a laser, a first optical fiber coupler, a circularly polarized light generation module, a first collimator, a second collimator, a second optical fiber coupler, a second polarizer, a photoelectric converter and a data processing module, according to the laser fiber polarimeter system, non-contact elements for diagnosing and testing the compact ring plasma are reasonably arranged, so that high-precision testing of density and magnetic field information of the compact ring plasma is realized. According to the invention, the reference signal is compared with the measurement signal passing through the plasma, the phase difference between the signals can be extracted through phase demodulation, and then the density and magnetic field information can be obtained according to the Faraday effect; in addition, the use of open optical devices is reduced, the cost is greatly reduced, the platform building time is shortened, and meanwhile, the interference of the external environment in the experiment process is also reduced.

The embodiment of the invention provides a method for displaying and generating a multi-pass travel ticket buying scheme and a computer program product, and the method comprises the steps: initiating a search request of the multi-pass travel ticket buying scheme to a server of a travel service platform when the method is applied to a client of the travel service platform, the search request at least comprises a departure place and at least two travel destinations; at least two groups of multi-pass travel ticket buying schemes returned by the server are received, each group of multi-pass travel ticket buying schemes corresponds to a travel route formed by the departure place and the at least two travel destinations, and the arrangement sequences of the at least two travel destinations in different travel routes are different; and displaying at least one part of the received multi-trip ticket buying scheme.

The invention discloses a city planning scheme optimization method and device based on climate environment risk assessment in the technical field of city planning, and the device comprises a climate environment monitoring device and an assessment planning system which are in signal connection. The climate environment monitoring device comprises a stand column, an accumulated water monitoring assembly, a terrain scanning assembly, a flight detection assembly, a wireless assembly, a fixed monitoring assembly and an electric control box, the electric control box is in electric signal connection with the terrain scanning assembly and the flight detection assembly, and the wireless assembly is in signal connection with the flight detection assembly. The invention provides a climate environment monitoring device capable of monitoring various climates and a method combined with an evaluation planning system, comprehensive monitoring of various climate environment elements is realized by establishing a plurality of base station devices, the data is integrated to the evaluation planning system for centralized processing, and a scientific and reasonable city planning optimization scheme is provided.

The invention discloses a business process guide method based on a visualization algorithm, and the method comprises the following steps: collecting and sorting business process data, including each process step, task distribution, role responsibility and dependency; the data is converted into a standardized graphic model by using an advanced graphic algorithm, and two-dimensional or three-dimensional visual display is realized through an embedding algorithm and a data dimension reduction technology. The system displays the model in a business guide interface and provides an interaction function, and a user can zoom and drag nodes and customize a view. Real-time data updating is achieved through a simulation algorithm, the future state of the process is predicted, and a guide map is automatically adjusted according to actual data. A multi-level view switching function and an intelligent optimization algorithm are provided, a flow path and resource configuration are optimized by analyzing data association, finally an optimization result is stored, and a user is allowed to compare and backtrack historical flow versions. According to the method, the visual management and optimization efficiency of the business process is remarkably improved.

The invention relates to the technical field of medicine capsule detection, in particular to a capsule medicine solubility detection device which comprises an obstacle module, a liquid pumping module, a vibrator, a constant temperature controller, a temperature sensor, a visual sensor and a central control assembly. The method comprises the following steps: analyzing each acid real-time image, performing primary judgment on a target capsule medicine according to an analysis result to determine whether to start a disturbance mode, and performing secondary judgment on the target capsule medicine based on the disturbance mode to obtain a secondary judgment result; determining whether to perform second-class detection on the target capsule medicine or not according to the secondary judgment result; receiving each alkalinity real-time image monitored by the visual sensor in real time in the second-class detection process; analyzing each alkalinity real-time image so as to judge the target capsule medicine for three times; based on the third judgment result, the central control assembly outputs a final detection report of the target capsule medicine in combination with the first judgment result and the second judgment result.

The invention belongs to the technical field of beam stranding machines, and particularly relates to a copper conductor beam stranding machine which comprises a workbench, a first supporting plate is fixedly connected to the right side of the upper end face of the workbench, a first rotating disc is rotatably arranged on the upper side of the left end face of the first supporting plate, and first clamping plates are slidably connected to the two sides of the left end face of the first rotating disc. A second rotating disc is rotationally arranged on the right end face of the connecting plate, second clamping plates are slidably connected to the two sides of the right end face of the second rotating disc, and an anti-winding type placing mechanism for placing the bunch-stranded copper wires is arranged on the workbench. According to the invention, by using the anti-winding placement mechanism, when a group of copper conductors are twisted, the wiring terminals fall onto the placement seat for placement, so that the process of manually taking down each group of twisted copper conductors by a worker is omitted, the labor intensity of the worker is reduced, and each group of copper conductors are independently placed and cannot be wound with each other, so that the production efficiency of the wiring terminals is improved. And subsequent unified transportation is facilitated.

The invention discloses a mining ultra-clean fresh air individual supply protection system and method. According to the system, the air inlet end of an air supply barrel is arranged in an air supply roadway, and the air outlet end of the air supply barrel extends into a tunneling roadway; two air supply modes of a local ventilator and an underground compressed air system are adopted; the local fan is mounted at the air inlet end of the air supply cylinder; the compressed air system is arranged along the roadway; the fresh air filter is arranged in a tunneling roadway, a multi-stage filtering assembly is connected with an air supply barrel through a fresh air device air inlet pipe and connected with an ultra-clean air flow bin through an ultra-clean air flow air supply pipe, and a carbon monoxide absorption device and a fresh air device air pump are arranged in the ultra-clean air flow air supply pipe. The individual air supply pipeline is connected with the ultra-clean air flow bin, and the one-way valve, the flow adjusting device and the breathing mask are sequentially arranged on the individual air supply pipeline. The method comprises the steps that fresh air is supplied into the air supply barrel through the local ventilator; the fresh air is deeply purified through the fresh air filter and conveyed into the breathing mask through the individual air supply pipeline. According to the system and the method, personalized clean air supply can be carried out.

The invention discloses an LED screen anti-scratch performance detection device, and particularly relates to the technical field of LED screen performance detection.The LED screen anti-scratch performance detection device comprises an operation table, a moving mechanism is fixedly connected to the middle of the upper end of the operation table, a detection mechanism is fixedly connected to the right side of the upper end of the operation table, and a fixing mechanism is slidably connected to the middle of the upper end of the operation table; the left side of the upper end of the console is fixedly connected with a pushing mechanism. According to the LED screen anti-scratch performance detection device, the positions of the rubber protruding block and the soft brush can be converted through cooperation of the first gear and the third rack, the LED screen can be cleaned before an experiment is started, the LED screen can be pushed out and discharged after the experiment is finished, the angle of the detection pen is converted through cooperation of the first rack and the second gear, and the detection efficiency is improved. And meanwhile, the round roller rotates through the cooperation of the rack II and the gear III, so that the position of the LED screen can be adjusted after one test, two scratches are not at the same position, and the performance of the LED screen scratched by different hardness can be conveniently compared.

The invention relates to the technical field of geological exploration sampling analysis, in particular to a geological exploration sampling device and a sampling analysis method. The method comprises the steps of firstly obtaining geological exploration data of a target sampling position; further acquiring a local time domain window at a target acquisition moment; further acquiring a local speed change rate, a rock stratum number and a torque accumulation parameter in a local time domain window at each acquisition moment, and forming a feature vector of a target sampling position according to a time sequence of the sampling moments; further obtaining a data anomaly coefficient of the target sampling position according to the difference characteristics of the feature vector of the target sampling position and the feature vectors of other sampling positions in combination with the distance between the target sampling position and other sampling positions; and finally, screening out abnormal sampling positions according to outlier distribution characteristics of data abnormal coefficients of all sampling positions.