145results about How to "Easy to share" patented technology

The invention discloses an automatic DCMM evaluation system based on a multi-source heterogeneous data integration mechanism, and relates to the technical field of data quality management.The automatic DCMM evaluation system comprises a data source management module, a data integration module, a data quality evaluation module, a data quality diagnosis module and a data quality monitoring module which are connected through electric signals; and the data source management module is used for accessing various types of data sources and collecting original multi-source heterogeneous data from a plurality of data sources. By comprehensively monitoring and evaluating the data quality, the accuracy and integrity of the data are improved, the abnormal early warning coefficient is calculated, the potential data quality risk is recognized in time, and when it is detected that the data quality is abnormal, an early warning mechanism is automatically triggered, and an alarm is sent to inform related personnel, so that the data quality is ensured to be abnormal. Therefore, the data quality problem can be found and solved at the first time, so that the reliability and credibility of the data are improved.

The invention relates to the technical field of breach image processing, in particular to a breach rapid situation awareness method and system based on multi-source data. The method comprises the following steps: acquiring dam monitoring station data; performing hydrological sensor network setting on the dam monitoring station data to obtain dam hydrological sensor network data; performing ultrasonic water level change trend analysis on the dam hydrological sensor network data to generate an ultrasonic water level change trend chart; performing breach node sensing on the dam hydrological sensor network data according to the ultrasonic water level change trend chart to generate breach node data and breach prediction node data; and according to the breach node data, macroscopic disaster risk analysis is carried out on the breach area, and a breach area macroscopic disaster risk schematic diagram is generated. According to the invention, through real-time data integration, comprehensive risk assessment, unmanned aerial vehicle monitoring, dynamic prediction model and multi-party cooperative response, the accuracy and response speed of breach rapid situation awareness are improved.

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 discloses a cross-domain data fusion method and system for distribution network middle stations based on a knowledge graph, and particularly relates to the technical field of data processing and fusion based on the knowledge graph. Firstly, intelligent gateway equipment is adopted to collect operation, fault, maintenance and other data of all systems and all lines related to distribution network operation, the data are transmitted to a data processing and storage module through a 5G communication protocol port transmission technology, and data cleaning, data integration, data conversion and other operations are carried out; classifying and storing the data, and then constructing a mapping knowledge domain in the distribution network; according to the method, a 5G communication protocol port transmission technology and a composite model are specifically adopted to perform knowledge extraction and knowledge fusion of graph construction, so that the technical problems of data islands and other data processing in a distribution network are solved, data sharing, service sharing and resource integration are effectively realized, and the reliability of the distribution network is improved. The problem that data between distributed systems in the current distribution network field is difficult to cooperate is solved, semantic integration and sharing of data between multiple systems are achieved, and the operation and maintenance efficiency and the intelligent level of a power distribution network are improved.

The invention discloses a shield forming tunnel form data processing system and method, and relates to the technical field of tunnel data processing. The shield forming tunnel form data processing method specifically comprises the following steps: S1, collecting and preprocessing data of a plurality of sections in a shield forming tunnel; s2, calculating the offset of the center of each segment; s3, continuously measuring and analyzing a deformation trend; s4, predicting offset change by using a linear regression model; s5, predicting the final offset of the duct piece by using the trained model; the removed abnormal values are recorded and analyzed, so that abnormal factors of segments in the tunnel can be screened, potential problems can be found and solved in time, further deterioration of the problems is prevented, and safety and stability of the tunnel are ensured; the deformation is calculated and the deformation trend is analyzed by using a time sequence, so that the deformation trend can be found in time, a subsequent detection plan can be formulated, the deformation problem can be found and processed in time through continuous monitoring, and the stability and the safety of the tunnel are ensured.

The invention discloses a lake and reservoir inflow and outflow scheduling scheme optimization method and system based on a three-dimensional hydrodynamic force-water quality-water ecological model, and the method comprises the steps: firstly constructing a three-dimensional hydrodynamic force-water quality-water ecological model of a target lake and reservoir, setting a scheduling constraint, a scoring constraint, a scoring single item, and a comprehensive scoring weight by a decision maker, stratified sampling and one-dimensional uniform random sampling are carried out on each flow range of a water replenishing port, a flow outlet and a water suction pump station which can be regulated and controlled manually according to scheduling constraints set by a decision maker, and a plurality of inflow and outflow scheduling schemes are generated; and performing big data mining on the model calculation results of all the access flow scheduling schemes, performing comprehensive scoring according to the scoring single item and the comprehensive scoring weight, and selecting the access flow scheduling scheme with the highest comprehensive score as an optimal scheduling scheme for recommendation. The method has the advantages of high simulation precision, flexible decision support, multi-target comprehensive balance and the like, and a scientific and efficient technical solution can be provided for lake and reservoir inflow and outflow scheduling.

The invention discloses a digital twin model evolution method and system based on constructional engineering. The invention relates to the technical field of constructional engineering. Related data of the long-distance water conveyance project are collected, wherein the related data comprise BIM model data, oblique photography three-dimensional model data and GIS data; meanwhile, the data are preprocessed, including format conversion, coordinate unification and denoising, so that the quality and consistency of the data are ensured. A three-dimensional BIM model of the engineering facility is constructed based on Autodesk Revit according to a design drawing and collected data, the facility and equipment in the BIM model are coded according to a KKS coding rule, and a coding database is updated; according to the method, the BIM model data, the oblique photography three-dimensional model data, the GIS data and other multi-source data are fused, a refined three-dimensional scene model is constructed, and comprehensive integration of engineering facility information is achieved. Therefore, data sharing and collaboration among different departments and professions are facilitated, and the overall working efficiency is improved.

The invention belongs to the technical field of optical fiber sensing, and discloses a high-speed Fabry-Perot signal demodulation method and system based on a sparse spectrum. The method comprises the following steps: selecting a cavity length range of a Fabry-Perot cavity, and generating a cavity length sequence; repeating simulation to obtain reflection spectrums of the Fabry-Perot cavity under all cavity lengths in the cavity length sequence; adding noise to the reflection spectrum to obtain an analog acquisition spectrum; selecting a channel according to the output wavelength of the wavelength division multiplexer, obtaining a sparse spectrum, and constructing a data set; training the neural network model through the data of the data set; after training is completed, a reflection signal of the Fabry-Perot cavity is obtained through a wavelength division multiplexer and a photoelectric detector array and converted into a sparse spectrum; and inputting the obtained sparse spectrum into the neural network model to obtain the cavity length of the optical fiber Fabry-Perot sensor and realize Fabry-Perot signal demodulation. The demodulation rate and the monitoring efficiency of the optical fiber Fabry-Perot sensor are improved, and an efficient and reliable remote monitoring solution is provided for multiple fields.

The invention relates to an Internet of Things cooperative sensing method based on encryption protection, and belongs to the technical field of Internet of Things. According to the method, security protection of sensitive data in communication transmission and cloud computing processes is ensured by using a fully homomorphic encryption algorithm, and a convolutional neural network model framework is designed to perform data prediction and abnormal source identification in combination with multi-source factor data. The model fuses a space environment topological structure and content features, and is beneficial for improving the scientificity of collaborative perception decision-making in the scene of the Internet of Things. According to the invention, through combination of the fully homomorphic encryption technology and the graph convolutional neural network, data security and sharing problems in an Internet of Things data integration processing process are solved, security sharing application of cross-regional perception information is realized, and the depth decision level of Internet of Things monitoring management is improved.

The invention discloses a television intelligent maintenance decision-making method, and the method comprises the following steps: obtaining historical work order information which at least comprises a television type, a fault description, a fault reason, a maintenance scheme, a maintenance category and used spare parts; constructing an intelligent fault library containing standard faults according to the historical work order information; establishing a knowledge graph according to the historical work order information and the intelligent fault database; acquiring new work order information, performing fault matching with the intelligent fault library according to fault information in the new work order information, and performing maintenance scheme recommendation according to the matched fault based on the knowledge graph; the invention also discloses a television intelligent maintenance decision-making system and a computer program. The intelligent, automatic and personalized television maintenance process can be realized, the quality and efficiency of the maintenance service can be greatly improved, the operation cost can be reduced, and the high-quality and reliable maintenance experience can be provided for the user.

The invention relates to a multi-modal human intention understanding system based on brain cognition inspiration, which comprises a multi-modal information acquisition unit, an intercrossing attention enhancement unit, a self-crossing attention enhancement unit, a source modal updating unit, a self-adaptive multi-modal information fusion unit and a continuous-dimension emotional intention understanding unit, and a fine-grained behavior intention understanding unit. Compared with the prior art, the method has the advantages that effective feature semantics from language, audio and video modalities are fully fused, efficient multi-modal modeling is realized by utilizing attention mechanisms in different strengthening and updating units, and human emotion and behavior intention understanding in a multi-task mode is further completed; the problems of low human intention understanding accuracy, insufficient multi-mode utilization rate, poor system robustness and the like in a real application scene are effectively solved.

The invention provides an engineering safety management method and system based on a BIM model, and relates to the technical field, and the method comprises the steps: obtaining engineering information, constructing an engineering BIM model, carrying out the monitoring region division of the engineering BIM model, obtaining an engineering model monitoring region, and obtaining the region group association information; calculating an area scheme influence coefficient to obtain a risk area, and calculating a type influence coefficient of each engineering monitoring type to obtain a risk type; calculating an engineering cumulative risk influence coefficient, comparing the engineering cumulative risk influence coefficient with a preset cumulative influence threshold value, obtaining cumulative risk judgment of the engineering BIM model, and further obtaining risk influence early warning information; according to the risk early warning information, the abnormal risk monitoring type and the risk area information, reversely obtaining the wind direction source information, and adjusting the risk source information until the risk early warning information does not exist, the method can comprehensively and accurately identify and evaluate the potential risk in the project, and realizes real-time monitoring and effective early warning.

The invention discloses a tracking and tracing system based on big data analysis. The system comprises a data quality verification module, an anonymization technology module, a multi-dimensional supervision module and a cooperative ecological module. According to the invention, cleaning and verification of original data are realized through the data quality verification module, wrong, redundant and missing data are removed, consistency verification is carried out on data of different data sources by using a data comparison algorithm, and the accuracy and consistency of the data are ensured; through data encryption and authority control, confidentiality of data in storage and transmission processes is ensured, and data leakage and unauthorized access are prevented; an early warning mechanism and a problem solving scheme are designed, so that related personnel can be timely notified to solve problems, and the timeliness and efficiency of supervision are improved; a cooperation relationship and a data sharing platform are established, cooperation and information sharing among participants are promoted, a preferential policy and a reward mechanism are designed, all parties are stimulated to actively participate in system construction and data sharing, and the power and effect of cooperation are enhanced.

The invention discloses an intelligent nursing safety management skin management reckoning disc which comprises a chart module of a multilayer concentric circle structure, a calculation model and intelligent analysis algorithm module, a touch operation interface, a data recording and exporting module and an implementation module. The reckoning disc adopts a chart module of a multi-layer concentric circle structure, through different colors and layered display of skin stages, clinical manifestation, nursing measures and prevention strategies, nursing personnel can obtain information visually and conveniently, a skin health score calculation model, a treatment scheme recommendation algorithm, a nursing effect prediction model and a risk early warning algorithm are integrated in the system, and the system is convenient to use. The skin condition of the patient is accurately evaluated based on multiple skin health indexes, and the nursing suggestions are updated in real time, so that the nursing efficiency is improved, and the misjudgment risk is reduced.

The invention discloses a smart watch health information monitoring and management system based on an AI technology, and relates to the technical field of smart watch health information monitoring, and the system comprises a data collection module which collects various physiological and environmental data; the data preprocessing module is used for processing data by using improved mean filtering, linear interpolation and normalization; the health state analysis module is used for constructing a model by using various neural networks, analyzing the health state according to the multi-data feature vector and predicting the disease risk; the health information management module is used for storing data, building archives, giving personalized suggestions to the user and being in butt joint with a third-party platform; and the interaction module comprises a plurality of interaction devices, can check information, set parameters and receive notices, and is additionally provided with units such as exercise data acquisition and model optimization to assist the realization of system functions. The multi-element high-precision sensor is integrated to accurately collect data, the AI algorithm accurately analyzes the health state and the disease risk, double storage guarantees data safety, sharing is facilitated, the multi-interaction mode is convenient to operate, and user health is comprehensively protected.

The invention discloses a takeoff and landing weight calculation method for a multi-aircraft-type aircraft based on a micro-service architecture, and belongs to the technical field of data processing, and the method comprises the following steps: S1, calling airport data, aircraft-type data and meteorological data to generate a * *. In file required by a performance analysis software package by using a Java program; the problem of deployment of a C / S program client and the problem of difficulty in upgrading of the C / S program are solved only by introducing the scapubus.dll and the ARJALLLLPublic. Dll in a back-end server program, a server module is added when the calculation amount is large, the problem of single-machine performance is solved, the program can be expanded to more types, the use of a user is not influenced, and the problem of compatibility of multiple types is solved.

The invention provides a resident data processing method and device, and the method comprises the steps: obtaining resident data from a plurality of domains, and injecting the resident data into a summary sheet; performing data cleaning on the resident data in the summary sheet; performing matching calculation on the resident data in the summary sheet, and dividing the resident data in the summary sheet into a plurality of groups; performing data integration on the resident data of each group to generate corresponding resident health archives and resident identifiers; wherein different groups correspond to different resident identifiers. By building a unique resident identifier, the medical service efficiency can be improved in the regional medical field, a medical institution can quickly identify patient information through the unique identifier, and resource waste caused by repeated information input is reduced; accurate and coherent medical services can be obtained in the medical treatment process of residents; meanwhile, through the unique identification, resident information interconnection and intercommunication between medical institutions can be promoted, and sharing and integration of medical data are promoted.

The invention provides a railway green performance data knowledge extraction method. The method comprises the steps of data collection and preprocessing, knowledge graph construction and data standardized storage. The method comprises the following steps: collecting and classifying key data of a full life cycle of a railway; constructing an ontology by a top-down method, extracting knowledge, and storing the knowledge in a graph database; storing the structured data based on the metadata, sorting and classifying the unstructured data, binding the unstructured data with the knowledge graph, and storing the unstructured data; according to the method, the environment-friendly degree of railway engineering can be improved, information management is optimized, the data driving force of decision support is increased, data sharing and communication are promoted, the sustainability of railway projects is improved, compliance of environmental protection rules and policies is achieved, and the timeliness and dynamic updating capacity of data are improved; not only are knowledge extraction efficiency and accuracy improved, but also monitoring and improvement of key performance indexes of the railway engineering are more scientific and systematic, and energy conservation, consumption reduction and ecological environmental protection of the railway engineering are further promoted.

The invention particularly relates to a method for uniformly processing to-be-handled tasks of multiple service systems. The method comprises the following steps: acquiring to-be-handled task data of each service system and service data corresponding to the to-be-handled task data through a standard interface defined by WebService; integrating the to-do task data and the corresponding business data into a to-do list; and linking to a corresponding business system through the to-do list to carry out corresponding to-do task processing, and carrying out to-do list flow circulation through a unified flow service. The invention further relates to a system for uniformly processing the to-do tasks of the multi-service system. According to the method and the system, the problems that single sign-on cannot be realized among all the business systems, data cannot be fused among all the process engines and all the databases are incompatible are solved, and unified processing of to-do tasks of all the business systems is realized, so that the task processing efficiency is improved.

The invention discloses a multi-modal file data co-processing management system, which relates to the technical field of file management and comprises a data input layer, a data storage layer, a data processing layer, a business logic layer, an application layer, an integration layer, a security monitoring layer and an infrastructure layer. The method not only supports management and processing of various data types, improves data inclusivity and processing capability, but also has real-time cooperation and version control functions, improves team cooperation efficiency, reduces data conflicts, ensures data integrity and consistency, simplifies data entry, classification, filing and retrieval processes through automatic tools and algorithms, and improves the efficiency of team cooperation. And meanwhile, an intelligent search function is provided, required data can be quickly positioned, a user can remotely access archive data from any place with network connection, the accessibility of the data is improved, the system also supports cross-department data sharing, and the circulation and collaboration of information are promoted.

The invention discloses a miniature missile weapon combat system based on an ad hoc network, and relates to the technical field of weapon equipment, the miniature missile weapon combat system comprises at least one investigation terminal and at least one striking terminal, and the striking terminal is connected with a grenade launcher; each investigation terminal can form an ad hoc network with all the striking terminals and / or all the investigation terminals within the communication range of the investigation terminal, and communication and data transmission are carried out on the investigation terminal and all the striking terminals and / or all the investigation terminals; the investigation terminal is used for measuring and resolving coordinate data of the target and sending the coordinate data of the target to the striking terminal in the ad hoc network; the striking terminal is used for solving the relative position of a bullet target according to the coordinate data of the target and judging whether the relative position of the bullet target is within a striking range or not, if so, providing a recommended firing direction and a recommended firing angle range, and allowing to execute a firing action; and if not, reselecting to hit the terminal or cancel the hit task. According to the invention, a decentralized ad hoc network mode is formed through the investigation terminal and the strike terminal, so that the fault tolerance and flexibility of the system are enhanced.

The invention discloses a marine environment spatial data retrieval method, which comprises the following steps of: acquiring to-be-processed initial data of a marine environment, preprocessing the to-be-processed initial data, and storing the preprocessed to-be-processed initial data in a uniform data format required in a network mapping process to obtain initial data; performing network mapping processing according to the initial data to obtain a corresponding grid index; according to the method, the to-be-retrieved data is obtained, retrieval is performed according to the to-be-retrieved data and the grid index, and the corresponding retrieval result is obtained, so that comprehensive coverage and fine division of the marine environment spatial data are realized, and a solid foundation is provided for rapid retrieval of the marine environment spatial data; the system can realize conversion with information systems under various existing technical systems, and is convenient for cross-industry and cross-department information sharing and efficient service.

The invention discloses a method for carrying out simultaneous transmission call translation by using an earphone, relates to the field of call translation, and solves the problem that in the process of simultaneous transmission call translation, if only the paraphrase of original voice is rigidly transmitted in a target language, the connotation and context of an original text cannot be fully captured and expressed, and the interpretation of the original text cannot be fully captured and expressed. The problems of serious information distortion and connotation loss are often caused; by simulating the mood of a speaker, the quality of simultaneous transmission call translation can be remarkably improved, the emotion expression is enhanced, the information accuracy is improved, the communication effect is enhanced, and the user experience is improved; in the aspect of technology implementation, the speech synthesis and sentiment analysis technology can provide powerful support, so that tone simulation is more natural and real; according to the method, voice data of different accent, different speakers, different background noise and different speech speeds are collected, a more robust and accurate voice recognition model can be trained, the method is suitable for diversified voice input, and the generalization ability of the method in different scenes is improved.

The invention discloses a park closing method based on multi-dimensional data fusion. The park closing method comprises the following steps of 1, collecting environment related parameter information of a park through environment sensor equipment; step 2, acquiring access control related information in the park through access control equipment; 3, collecting image information of the park through an image collection device; 4, processing the environment related parameter information to obtain environment abnormity warning information; 5, processing the access control related information to obtain access control abnormity warning information; step 6, processing the image information of the park to obtain image analysis prompt information; and step 7, after the environment abnormity warning information is generated, acquiring access control equipment information, and when the access control equipment information is abnormal, generating first access control information. According to the invention, more comprehensive and intelligent closed management of the park can be realized.

The invention belongs to the technical field of geographic information management, and particularly relates to a grass germplasm resource geographic information management system. Comprising a data collection and integration module, a spatial distribution analysis module, an ecological suitability evaluation module, a protection area planning module, a resource monitoring and early warning module, a data updating and maintenance module, a multi-scale analysis module, a model integration and simulation module and a user interaction and visualization module. By integrating a plurality of modules, such as data collection and integration, spatial distribution analysis, ecological suitability evaluation and the like, a comprehensive tool is provided for geographic information management of grass germplasm resources, data from different sources can be collected and integrated, and the management efficiency of the grass germplasm resources is improved. And the distribution and dynamic change of grass germplasm resources can be analyzed and predicted by utilizing a GIS technology and combining a model of deep learning, a graph neural network and transfer learning.

The invention relates to the field of precision measurement and calibration, and discloses a control method for reference voltage divider calibration, which comprises the following steps: carrying out environment calibration on a current calibration environment based on correction data in a historical correction database, carrying out pre-detection on a to-be-referenced voltage divider to obtain pre-detection characteristics, and carrying out pre-detection on the to-be-referenced voltage divider according to the historical correction data. The reference voltage divider is subjected to thermal stabilization according to the current calibration environment, the reference voltage divider is calibrated after thermal stabilization is completed, the calibration module is controlled to calibrate the reference voltage divider according to data output by the reference voltage divider in the calibration process, and the reference voltage divider is calibrated after calibration is completed. Obtaining the output uncertainty of the calibrated reference voltage divider; and if the output uncertainty of the calibrated reference voltage divider is not greater than the standard output uncertainty of the reference voltage divider, the reference voltage divider is stable, and the calibration of the reference voltage divider is completed. According to the invention, through the automatic and intelligent calibration process, the calibration precision and efficiency are significantly improved.

The utility model belongs to a liquid cooling assembly, a battery module and a battery pack in the technical field of power batteries. The liquid cooling assembly comprises a cold plate group which comprises at least two liquid cooling plates, an accommodating space is formed between the adjacent liquid cooling plates, and cooling channels are arranged in the liquid cooling plates; the head end and the tail end of each liquid cooling plate are respectively provided with an independent current collector, a current collecting channel is arranged in each current collector, and the current collecting channels are communicated with the cooling channels in the corresponding liquid cooling plates; the head ends and the tail ends of the plurality of liquid cooling plates of the same cold plate group are directly assembled and connected through a plurality of corresponding current collectors, and the current collecting channels of the plurality of current collectors connected with at least one end are communicated. The independent current collectors are arranged at the head end and the tail end of each liquid cooling plate, so that the liquid cooling plates can be mounted in sequence to reduce the assembly difficulty, pipelines can be shared, the on-off of cooling channels among the liquid cooling plates can be flexibly arranged, and the requirement for diversification of the flowing direction of a cooling medium is met.

The invention provides a circuit board design method, a design tool sharing method, equipment and a storage medium, the circuit board design method is applied to a first client, the first client is in communication connection with a server, the server is configured with a shared folder, and the server is also in communication connection with a second client. The shared folder comprises at least one circuit board design tool file developed in the second client. The method comprises the following steps: monitoring a starting operation event of a first client, and mapping a shared folder in a server to a local driver; and monitoring the starting operation event of the circuit board design application in the first client, and mounting the shared folder in the file access path of the circuit board design application, so that the circuit board design application calls the circuit board design tool file in the shared folder to carry out circuit design, thereby realizing shared use of the tool, and improving the circuit design efficiency. And the tool use timeliness is improved.

This utility model provides a crab and bass polyculture device, relating to the field of aquaculture technology. It includes a pumping device, an outer box, and an inner box coaxially arranged with a clearance fit. Two limiting grooves are formed inside the inner box. A water pump is fixedly connected inside the inner box, and rotary joints are connected to both ends of the water pump. The other end of each rotary joint is connected to a circular box slidably connected to the limiting grooves. A motor drives a synchronous pulley and a synchronous belt to drive the circular box to slide within the limiting grooves, allowing the water inlets on the circular box to connect with water pipes in different directions. Combined with the power of the water pump, this enables bidirectional water flow between the two ponds, constructing a bidirectional water exchange system between the crab and bass ponds. This improves water resource utilization, prevents water quality deterioration in a single pond, promotes the sharing of beneficial substances between the two ponds, and reduces aquaculture costs.

The invention discloses a live-action three-dimensional geological outcrop route roaming method, and relates to the technical field of network geographic information. The method comprises a geological outcrop route construction logic process and a geological outcrop route roaming logic process which are sequentially carried out after geological outcrop data acquisition, modeling and storage are completed, the geological outcrop route construction logic process comprises a geological outcrop model screening sub-process, a geological outcrop hot spot screening sub-process, a geological outcrop model and hot spot sorting sub-process and a geological outcrop route storage sub-process; the geological outcrop route roaming logic process comprises a geological outcrop route macroscopic preview sub-process, a geological outcrop model and hotspot display sub-process and a geological outcrop model information display sub-process, so that a user can carry out good'cloud science 'geological investigation, and friendly operability and three-dimensional interactive experience are achieved; and therefore, the real-scene three-dimensional geological outcrop route roaming requirement of the user can be met, and practical application and popularization are facilitated.