262results about How to "Build accurately" patented technology

The invention belongs to the technical field of multi-agent collaboration, and provides an electric power cross-modal knowledge fusion multi-agent collaboration processing method and system, and the technical scheme is as follows: analyzing a task execution command instruction input by a user; key elements of the task are extracted, the task is decomposed into a plurality of sub-tasks according to the extracted key elements, and logic association and priorities among the sub-tasks are identified; according to the logical association and priority among the subtasks, allocating the subtasks to the corresponding agents; each agent executes the corresponding subtask according to a set execution path, the executed task result is shared to other agents to cooperatively complete the complex task, and finally a cooperative processing result is obtained through integration. Efficient execution of complex tasks such as document generation, review and management is realized, and smooth completion of the tasks is ensured.

The invention relates to the technical field of data analysis, and discloses an intelligent decision and response method and system based on data analysis, and the method comprises the steps: collecting and preprocessing multi-scene monitoring video data based on a security camera, and obtaining preprocessed image data; performing multi-scale feature extraction and L2 regularization feature selection to obtain a target multi-scale feature set; performing scene classification and object recognition to obtain a scene classification result and an object recognition result; performing three-dimensional scene reconstruction and scene graph sequence modeling to obtain a three-dimensional scene model and a scene change prediction result; performing multi-dimensional scene error analysis and reinforcement learning to obtain a plurality of candidate monitoring action strategies; according to the method, adaptive parameter calibration of space-time fusion is carried out, and target monitoring action parameters of the security camera are generated, so that misrecognition and false detection in a complex environment are effectively reduced, and the anti-interference capability of the system is improved.

The invention discloses a containerized resource dynamic allocation method for a power distribution network system and electronic equipment. The method comprises the following steps: judging that resource use data is greater than a preset resource threshold value by monitoring the resource use condition of each physical node in a power distribution network system; if yes, calculating a load balancing index of each physical node, and generating a container migration task list based on the load balancing index, the service priority and the service quality requirement information; packaging container data corresponding to the to-be-migrated container in the migration task list, and determining container state snapshot information and network connection information of the to-be-migrated container; establishing a secure channel between the source node and the target node based on the network connection information, and transmitting container data and container state snapshot information of the source node to the target node; reconstructing a container operation environment on the target node, and generating a target container; and suspending the to-be-migrated container on the source node, and activating the target container on the target node. And efficient migration of the container is realized.

The invention provides a knowledge graph construction system and method based on cue words, and the method comprises the steps: determining a mapping relation corresponding to an obtained unstructured document set through a data collection module, and transmitting the mapping relation to a vector data storage module; sending the obtained rule extraction file to an automatic cue word generation module to obtain a target template, and distributing the target template to a problem auditing module and a cue word judgment module; the vector data storage module obtains vectorized data based on the mapping relation and stores the vectorized data to a vector database; the problem auditing module audits a drawing instruction input by a user according to the template, and if the auditing is passed, the drawing instruction is sent to the cue word judgment module, so that the cue word judgment module inputs the corresponding template and the drawing instruction into the intelligent reasoning and executing module, the drawing instruction is embedded into the template and then is transmitted into a preset large language model, the drawing instruction is disassembled, and the drawing instruction is sent to the intelligent reasoning and executing module. And according to a disassembling result, querying a vector database and calling related tools, so that efficient and accurate knowledge graph construction is realized.

The invention belongs to the technical field of intelligent document management and auditing in the electric power industry, and provides an electric power document autonomous review method and system fusing causal reasoning and compliance review. According to the technical scheme, obtained electric power document data is subjected to semantic analysis, and semantic representation of a document is obtained; based on the semantic representation of the document, performing event extraction on each sentence recognized in the document, and encoding each event to obtain the semantic representation of the event; constructing an initial event causal chain based on the semantic representation of the event; verifying the constructed initial event causal chain by adopting a causal reasoning algorithm, comparing each event in the verified causal chain and the incidence relation between the events with a power industry compliance rule, calculating a compliance score, and calculating the incidence relation between the events of which the compliance score is lower than a set score value or the incidence relation between the events of which the compliance score is lower than the set score value; and generating a correction suggestion, and generating a review report. And the efficiency and the accuracy of document review are obviously improved.

The invention belongs to the technical field of information recommendation, and discloses a financial information recommendation method and system based on multi-channel distribution, and the method comprises the steps: collecting behavior data of multiple channels of a user, carrying out the cross-platform data integration, and forming a complete user behavior data set; constructing a multi-dimensional user portrait, establishing a financial information database, and marking a keyword tag for each piece of financial information; according to the keyword matching degree of the user portrait and the information content, using content recommendation and financial information conforming to user preferences, and based on historical behavior data of the user and behavior habits of similar users, using collaborative filtering to recommend financial information in which the user is interested to obtain a financial information recommendation list; according to the use habits of the user at different terminals, cross-platform information distribution is performed on the financial information recommendation list through multiple channels, so that the accurate recommendation capability of financial information is improved, and the user experience is improved.

The invention provides a tumor type bone defect reconstruction method and system. The method comprises the following steps: acquiring bone defect information; constructing a bone defect restoration; constructing a bone defect three-dimensional model; and bone defect simulation surgery. According to the method, the bone defect information is obtained by evaluating the illness state of the patient, meanwhile, the anatomical structure of the bone tumor of the patient is subjected to structural evaluation through modern medical imaging, and the bone defect restoration is constructed in combination with the corresponding bone defect information; then, according to preset prosthesis design data, carrying out repair design on the bone defect prosthesis and obtaining three-dimensional skeleton data of a patient in real time, then, according to the obtained three-dimensional skeleton data, constructing a three-dimensional bone defect model and carrying out a bone defect simulation operation, and finally, predicting and optimizing the implantation position, direction and angle of the bone defect prosthesis. The effect of improving the construction accuracy of the bone defect prosthesis is achieved, and the problem that in the prior art, the construction accuracy of the bone defect prosthesis is low is solved.

The invention provides an AI-based three-light image type fire detector, and relates to the technical field of data processing, and the detector comprises a flame spectrum collection module which is used for obtaining multispectral image data of a monitoring area; the preprocessing module is used for preprocessing the multispectral image data to generate multispectral data; the feature extraction module is used for generating multidimensional feature data according to the multispectral data; the environmental condition acquisition module is used for acquiring environmental condition data of a monitoring area; the AI classification module is used for carrying out layer-by-layer analysis and classification processing on the multi-dimensional feature data by a multi-layer neural network model to generate a preliminary fire recognition result; the background adaptation module is used for receiving the preliminary fire recognition result and the environmental condition data and processing the preliminary fire recognition result to obtain fire recognition data; the alarm triggering module is used for receiving the fire identification data and judging whether a preset fire alarm condition is met or not; the method has a good detection effect.

The invention relates to a method and a system for realizing channel characteristic simulation of a wireless channel model of an unmanned ship based on an unmanned aerial vehicle. The method comprises the following steps: constructing the wireless channel model of the unmanned ship by the unmanned aerial vehicle; the unmanned ship wireless channel model comprises the steps of generating a channel impulse response, generating an unmanned aerial vehicle random track, generating an unmanned ship random track, generating an evaporation waveguide model, generating an evaporation waveguide model, generating small-scale parameters and updating the small-scale parameters; calculating channel statistical characteristics; the channel statistical characteristics comprise time delay power spectrum density, a space-time correlation function, a stationary interval and root-mean-square time delay extension. The method can better correspond to a track in a real environment, and the randomness of the track is realized.

The invention relates to an electric power virtual simulation optimization method based on a digital twin technology, and the method comprises the following steps: S1, deploying sensors at key nodes of an electric power system, and integrating an intelligent electric meter, weather forecast, social media information and market data to form a comprehensive data pool; s2, constructing a digital twinborn model of the power system; s3, optimizing the digital twin physical model based on a Bayesian optimization method and an adversarial neural network; s4, applying a bee colony algorithm to formulate a cooperation strategy, and optimizing transmission and load adjustment of power in different areas; s5, introducing an adaptive neural fuzzy inference system, and further optimizing a cooperation strategy; and S6, based on the optimized digital twinborn model and the operation strategy, performing large-scale distributed simulation by using cloud resources. According to the invention, accurate construction of the electric power simulation model and accurate implementation of electric power virtual simulation are realized.

The invention relates to the technical field of computer image processing, in particular to an oral cavity three-dimensional model construction and tooth occlusion feature analysis method. The method comprises the following steps: carrying out imaging scanning processing and three-dimensional model construction on an oral cavity structure of a patient to generate an oral cavity internal structure three-dimensional space model; performing tooth segmentation and tooth feature analysis on the oral cavity internal structure three-dimensional space model, and performing inter-tooth contact evaluation analysis to obtain oral cavity inter-tooth arrangement contact condition data; performing tooth occlusal point positioning analysis and tooth occlusal surface connection division on the oral cavity internal structure three-dimensional space model to generate an oral cavity tooth occlusal connection surface; and performing tooth occlusion characteristic analysis on the oral tooth occlusion connection surface to obtain a tooth occlusion surface parallelism and a tooth occlusion surface contour shape, and performing tooth occlusion adjustment processing to generate an oral tooth occlusion surface adjustment scheme. According to the invention, rapid reconstruction of an oral cavity structure and accurate analysis of tooth occlusion characteristics can be realized.

The invention discloses a risk early warning method based on a food operation risk information base. The risk early warning method relates to the technical field of food safety data processing, and comprises the following steps: inputting food operation data; constructing a food operation risk information base; constructing a risk prediction model; and optimizing the model and adjusting and optimizing parameters. The food management data in the food management process are collected in real time and risk assessment is carried out, the food management risk information base is constructed according to the risk assessment result, the risk prediction model is constructed according to the risk early warning demand, and the performance of the constructed risk prediction model is assessed according to the cross validation method. And finally, performing model optimization on the constructed risk prediction model according to a performance evaluation result, and performing parameter optimization by using a Bayesian optimization method, thereby achieving an effect of improving the operation risk prediction precision in the food operation process, and solving a problem of low operation risk prediction precision in the food operation process in the prior art.

The invention belongs to the technical field of three-dimensional modeling systems, and particularly relates to an urban geological complex geologic body three-dimensional modeling system which comprises urban geological database construction, three-dimensional model construction and underground space resource development potential evaluation. The urban geology database construction comprises the steps that the database construction target is to establish an urban geology and underground space database; the system is positioned as a basic data center on which urban geology and underground space depend, a convergence place of various data required by accident emergency processing, an information management and control center of various geology and underground space built in the whole life cycle of a city, a data exchange hub and an auxiliary support data center. In the aspect of database construction, efficient management and comprehensive application of urban geological data are realized through standard architecture, classified storage, safety measures and a reasonable updating mechanism.

The invention belongs to the technical field of gene engineering, and discloses a schizochytrium limacinum gene engineering strain capable of efficiently producing EPA (Eicosapentaenoic Acid). The gene engineering strain is obtained by replacing key catalytic structural domains orfA, orfB-KSB / CLF in a schizochytrium limacinum PKS pathway with corresponding functional domains in a heterologous EPA type PKS pathway. The gene engineering strain can improve the proportion of polyunsaturated fatty acid in the gene engineering strain, especially eicosapentaenoic acid. EPA generated after fermentation of the obtained schizochytrium limacinum genetic engineering strain orfA:: PfaA and KSB / CLF:: PfaC reaches 4.24% and 10.19% of the total grease content respectively, the EPA content is increased by 2.52 and 7.47 times respectively, and compared with an existing schizochytrium limacinum wild type strain, the EPA yield is greatly increased, which shows that the method provided by the invention has extremely high application potential.

The invention belongs to the technical field of genetic engineering, and discloses a Yarrowia lipolytica engineering strain capable of efficiently producing eicosapentaenoic acid through a cofactor strategy, Yarrowia lipolytica Po1f is used as an original strain, and genes of delta 9 elongase, delta 8 desaturase, delta 5 desaturase and delta 17 desaturase are over-expressed, so that the eicosapentaenoic acid can be efficiently produced. And simultaneously overexpressing glucose-6-phosphate dehydrogenase (G6PDH) and malic enzyme (ME) to obtain the gene. The construction method is suitable for constructing a genetic engineering strain for producing eicosapentaenoic acid, the aim of simply, conveniently, effectively and accurately constructing the strain is achieved, the constructed engineering strain is further applied to production of eicosapentaenoic acid, and an effective way is provided for commercially producing eicosapentaenoic acid by applying yarrowia lipolytica.

The invention discloses a five-phase permanent magnet motor multi-objective optimization method and a control system thereof, and belongs to the technical field of motor body design optimization and motor control. According to the multi-objective optimization method for the five-phase permanent magnet motor, the optimal optimization value of the motor parameters is obtained based on the genetic aggregation response surface and the multi-objective genetic algorithm, the design variables of the motor are comprehensively considered, and the optimization accuracy is improved; according to the control system of the five-phase permanent magnet fault-tolerant motor, iterative learning control serves as a current control technology and is used for recovering the performance of the five-phase permanent magnet motor under the fault condition, the advantages of iterative learning control and counter electromotive force control are combined, high-performance operation of the motor can be ensured under the fault condition, and the reliability of the five-phase permanent magnet fault-tolerant motor is improved. Ripple-free torque output is realized, and ohmic loss is minimized. The fault diagnosis module of the control system diagnoses short-circuit faults and open-circuit faults by using a time sequence neural network and a Kalman filter, and has real-time performance and strong adaptive ability.

The invention discloses an enterprise management system question and answer control method and system based on a large language model. The method is described. The method comprises the following steps: constructing a pre-training model; managing the knowledge base; managing cache knowledge; and controlling questions and answers. According to the method, the pre-training model is constructed through the enterprise management system question input by the user to be questioned and answered and in combination with the corresponding text data, and then the content of the preset management system knowledge base is managed and updated through the pre-training model and in combination with the set access permission to obtain the question and answer data set; performing parameter management on the first parameter information data in the pre-training model according to the question and answer data set, and finally obtaining the first answer data in combination with the first parameter information data after parameter management, so as to improve the association degree between the enterprise management system question and answer and the user feedback. The problem of low association degree between enterprise management system questions and answers and user feedback in the prior art is solved.

The invention belongs to the field of artificial intelligence and the field of financial science and technology, and relates to a knowledge graph construction method and device based on artificial intelligence, computer equipment and a storage medium. Performing preprocessing to obtain an insurance knowledge text; performing entity extraction on the insurance knowledge text based on an entity extraction model to obtain an insurance entity; performing attribute extraction on the insurance knowledge text and the insurance entity based on an entity attribute extraction model to obtain an attribute value of the insurance entity; performing relation extraction on the insurance knowledge text based on a relation extraction model to obtain an insurance relation; based on the entity link model, performing data mapping processing on the ontology model by using the insurance entity, the attribute value of the insurance entity and the insurance relationship to obtain a mapping result; and performing knowledge storage processing on the mapping result based on the graph database to obtain a target knowledge graph. In addition, the target knowledge graph may be stored in a blockchain. According to the invention, the construction efficiency and the construction accuracy of the knowledge graph are improved.

The invention relates to the technical field of optical fiber communication, in particular to an optical fiber optical frequency transmission field optical fiber link noise simulation method and system, and the method comprises the steps: dividing laser generated by a laser into reference light and simulation light; modulating the analog light, performing field optical fiber transmission, and performing optical frequency processing on the analog light and the reference light to obtain a radio frequency signal; performing phase processing on the radio frequency signal to obtain continuous phase information and frequency conversion data; the method comprises the following steps: constructing an optical fiber optical frequency transmission field optical fiber noise simulation model, converting phase information and frequency conversion data into voltage data by using the noise simulation model, setting a modulation depth parameter according to the voltage data, performing modulation according to the modulation depth parameter, and adjusting the length of a laboratory winding optical fiber according to a modulation result to realize noise simulation. According to the method, different types and different magnitudes of field optical fiber link noise can be simulated.

The invention relates to the technical field of seismic data interpretation, and discloses a method and system for recovering a three-dimensional paleostructure, and the method comprises the steps: constructing an isochronous stratigraphic framework according to a three-dimensional seismic data body and logging data, estimating and supplementing the denudation thickness of a target horizon interface, and restoring the target horizon interface. A plurality of longitudinal sections vertically penetrating through a fault are taken on an isochronous stratigraphic framework, on the longitudinal sections, a target horizon interface is leveled in a sliding mode along the sections, whether seismic reflection events of other stratigraphic interfaces on the two sides of the sections have coordination consistency or not is judged, and when the seismic reflection events of the other stratigraphic interfaces on the two sides of the sections have coordination consistency, the target horizon interface is judged to be in a normal state. And sliding the target horizon interface along the section body space until the target horizon interface is leveled to obtain a paleotectonic geologic model of horizon below the target horizon interface. According to the method, the three-dimensional paleostructure can be accurately recovered by establishing the effective isochronous stratigraphic framework.

The embodiment of the invention discloses a cable tunnel intelligent operation and maintenance method and device based on a digital twinning technology. A specific embodiment of the method comprises the steps of obtaining a point cloud data set and a tunnel drawing; constructing an initial three-dimensional cable tunnel model according to the point cloud data set and the tunnel drawing; according to each sensor arranged in the target cable tunnel, real-time sensing data corresponding to each sensor is obtained, and each piece of real-time sensing data is obtained; generating cable operation analysis information for the target cable tunnel according to the real-time sensing data; generating a cable twinborn model for the target cable tunnel according to the real-time sensing data and the cable operation analysis information; and executing at least one operation and maintenance processing task by using the cable twinning model. According to the implementation mode, the cable twinborn model can be accurately generated, so that intelligent operation and maintenance of the cable tunnel are realized, and cable accidents are avoided.

The invention provides a method and a system for constructing and optimizing an environment map based on an ultra wide band (UWB). The method and the system are suitable for an extreme environment. The method comprises the following steps: firstly, initializing a two-dimensional grid map by a system, and collecting signal data through UWB equipment; when the LOS path is determined, the corresponding grid is defined to be in a free state, and otherwise, the corresponding grid is marked to be in an occupied state. For NLOS features, obstacle locations are mapped onto a map. Then, the map is refined through a mean filter, a morphological filter and a region growing algorithm, and the accuracy of obstacle representation is improved; and finally, the optimized map information is utilized, and the weight of a positioning algorithm is adjusted through a weighted least square (WLS) method, so that the positioning precision is improved. The method has the advantages that environment obstacle information can be effectively constructed, the environment obstacle information is suitable for navigation after being refined, and a map can be normally constructed in dark light and smog environments. The system only depends on a UWB sensor, and accurate positioning is achieved in an obstacle environment.

The invention relates to the technical field of photovoltaic power generation prediction, and discloses a photovoltaic power plant power generation power prediction method comprising the following steps: obtaining historical photovoltaic output data and corresponding historical meteorological data; performing multi-dimensional feature extraction on the historical meteorological data to generate first-level meteorological features, verifying the first-level meteorological features, calculating the contribution degree of each first-level meteorological feature to photovoltaic power generation, and screening to generate second-level meteorological features; constructing a photovoltaic power generation power prediction model based on the secondary meteorological characteristics and historical photovoltaic output data; and obtaining meteorological data of the target prediction time period, and generating a generation power prediction result of the photovoltaic power plant through the photovoltaic generation power prediction model. In combination with the multi-dimensional analysis and deep learning technology of meteorological data, the accuracy and real-time performance of power generation prediction of the photovoltaic power plant are improved by dynamically adjusting model parameters.

The invention discloses a pest migration path simulation analysis method and system based on data analysis, and relates to the technical field of agricultural pest control, and the main scheme is as follows: obtaining the historical migration path, geographic information and agricultural planting data of pests, and calculating the length, direction and regional attraction index of the migration path according to the historical migration path data; obtaining a historical migration path score; calculating the terrain and landform complexity according to the historical migratory flight geographic information data to obtain a historical migratory flight geographic information score; calculating a crop attraction index, a food resource stability index and an agroecological suitability index through historical migratory agricultural planting data, and further obtaining a historical migratory agricultural planting score; and constructing an initial model by taking the three scores as input features and the historical actual migration flight path as output features, carrying out iterative updating to obtain a standard model, inputting future score data into the standard model, and simulating the future migration flight path of the pests.

The invention relates to a power enterprise data full-link fault positioning method based on data consanguinity. The method comprises the following steps: step 1, constructing a data consanguinity map; 2, based on the data consanguinity map constructed in the step 1, metadata consanguinity full links are collected and monitored in real time; 3, based on the data blood relationship map constructed in the step 1 and the real-time monitoring data collected in the step 2, a state transition matrix is constructed by analyzing state change information, and a Markov chain model is defined; by using the Markov chain model, the system can identify potential fault points and carry out accurate positioning. According to the invention, the problems of high data link complexity, difficulty in fault positioning, low troubleshooting efficiency and the like in the prior art can be solved.

The invention discloses a photoetching simulation model construction method, device and equipment, a medium and a program product, and relates to the technical field of semiconductors. The method comprises the steps that multiple photoetching simulation parameters are obtained, the multiple photoetching simulation parameters at least comprise the key size between a first test pattern and a second test pattern in a photoetching simulation mask, and the second test pattern is an adjacent pattern of the first test pattern; determining a target diffusion coefficient of a target photochemical reaction substance in the exposed photoresist based on the plurality of photoetching simulation parameters; based on the target diffusion coefficient, a target reaction diffusion model of the target photochemical reaction substance in the post-baking process of photoetching simulation is constructed, and the target reaction diffusion model is used for simulating the reaction diffusion process of the target photochemical reaction substance in the post-baking process. According to the embodiment of the invention, the photoetching simulation model in the photoetching simulation post-baking process can be accurately constructed, so that the simulation accuracy of a strict photoetching simulation system in the post-baking process can be effectively improved.

The invention relates to the technical field of cable production, and particularly discloses a cable insulation layer eccentricity calibration method, which comprises the following steps: S1, on a cable production line, multiple groups of optical sensors are uniformly arranged around a cable at certain angle intervals, and the optical sensors are used for measuring distance information of different positions on the surface of the cable; s2, acquiring data of the sensor in real time by using a high-speed data acquisition card, and transmitting the data to a computer for processing; and S3, constructing a three-dimensional shape model of the cable insulation layer by using the collected distance data through a triangulation method. According to the cable insulation layer eccentricity correction method, eccentricity calculation under different scales, including local eccentricity and overall eccentricity, is considered, the non-uniformity of the insulation layer can be better reflected, more comprehensive information is provided for quality control, and compared with the prior art, the cable insulation layer eccentricity correction method has the advantage that the calculation efficiency is improved. The system can accurately position a local problem area so as to adjust production parameters in a targeted manner, and can be used as an early warning system to timely discover potential problems.

The invention discloses an intelligent reply method and device fusing a large language model and a knowledge graph. The method comprises the following steps: judging whether a target user has a second question or not; if yes, judging whether a time interval between the first question and the second question is within a first preset duration or not; if yes, extracting a first keyword set of the first question and a second keyword set of the second question; whether the keyword repetition rate between the first keyword set and the second keyword set is larger than a repetition rate threshold value or not is judged; if yes, screening out a target knowledge graph from a preset knowledge graph database; filling the preset cue word structure framework with the plurality of first retrieval results to obtain a first text; obtaining a second text; and inputting the second text into a preset large language model to obtain a target reply corresponding to the first question of the target user. The invention belongs to the field of intelligent customer service. According to the invention, the hit rate of large language model answering can be improved.

The invention relates to a model construction method, system and device for flood forecasting of a small water conservancy facility, and the method comprises the steps: obtaining original water conservancy data of a target drainage basin of the small water conservancy facility, and carrying out the analysis of the drainage basin, and obtaining the corresponding hydrometeorological data; obtaining geographic data, and carrying out feature parameter analysis to obtain a corresponding drainage basin feature parameter set; acquiring facility information, and performing parameter setting on a preset WRF-Hydro model in combination with the drainage basin feature parameter set to obtain an initial flood model; performing multi-target parameter calibration processing on the initial flood model according to the hydro-meteorological data to obtain a flood forecasting model; performing scene simulation on the flood forecasting model to obtain a scene simulation result; and optimizing the flood forecasting model according to the model optimization parameters to obtain an optimized flood forecasting model. According to the method, the flood forecasting precision can be improved, and a more reliable basis is provided for disaster prevention and reduction.

The invention provides a rock-soil boundary division method, device and equipment and a storage medium, and belongs to the field of rock-soil boundary division, and the method comprises the steps: obtaining an engineering area drilling database, determining a rock-soil boundary characteristic value of a space boundary, and setting a threshold value and a conditional variable. A matrix is constructed and normalized through data description, training and verification data are divided randomly, and a prediction model is established by using a neural network. And randomly generating a prediction point in the boundary, calculating a second characteristic value, generating a first rock-soil boundary surface and a second rock-soil boundary surface, and comparing the difference between the first and second rock-soil boundary surfaces. If the difference value is not smaller than the threshold value, updating the database and repeating the steps; and if yes, outputting a division result. According to the method, prediction points and actual data are combined, and the rock-soil boundary surface model is accurately constructed.