Natural resource big data aided decision-making system based on virtual geographic environment

Abstract

The invention relates to the technical field of big data auxiliary decision-making systems, and discloses a natural resource big data auxiliary decision-making system based on a virtual geographic environment. According to the method, multi-level and multi-angle analysis of the natural resource big data is realized, a flexible automatic data processing mode greatly improves the working efficiency, the accuracy and authenticity of the natural resource big data analysis result are ensured, and a decision basis is provided for protecting cultivated land resources, strictly managing natural resources and strengthening the macroscopic regulation and control of national economy. According to the characteristics and types of the environmental perception data, a visualization system of the environmental perception data in a virtual geographical environment lake is provided, different visualization methods are adopted to express monitoring data of an environmental wireless sensor, and a vector field construction method is utilized to realize dynamic change of vector data in a virtual geographical environment world. Real-time environment sensing video monitoring images and virtual geographical environment scenes are fused, and real-time observation and monitoring of the birds and the water body in the Poyang Lake are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of big data decision-making assistance systems, and in particular to a natural resource big data decision-making assistance system based on a virtual geographic environment. Background Art

[0002] Virtual geographic environment represents the unification of virtual assets and physical assets in product life cycle management. With the development of computer technology and virtual geographic environment technology, virtual geographic environment has been applied to various industries such as manufacturing, automobile industry, energy sector, agriculture, water conservancy industry, etc. Real-time sensor data visualization is an important part of building a virtual geographic environment world. The purpose of this construction is to build a virtual geographic environment environment that is virtual and real with the actual physical environment. In addition, obtaining real-time environmental sensor data is the key to reflecting the real-time changes of the real physical world in the virtual geographic environment world.

[0003] Environmental sensor data comes from a wide range of sources and is difficult to integrate, manage, analyze, and visualize in a virtual geographic environment world. At present, many researchers have attempted to manage and visualize real-time monitoring data or to construct a virtual geographic environment for a watershed. In terms of environmental sensor data visualization, Wan et al. constructed an ecological environment information system for Dongting Lake based on a two-dimensional map. The system consists of monitoring data such as water, air, and soil environmental monitoring, and pollution prevention and control. In addition, Jeffrey et al. proposed a web-based interactive activity visualization framework called Interactive Catchment Explorer for managing and visualizing environmental data sets based on two-dimensional maps and charts. Another paper by Brendel et al. developed an application, Stream Hydrology and Precipitation Knowledge System, to visualize hydrological and meteorological time series data. In addition, Steed et al. proposed a desktop-based software application for visualization of large environmental data sets and model outputs, called the Exploratory Data Analysis Environment. In terms of virtual geographic environment watersheds, Huang et al. developed a Jingjiang River Basin Simulation System to implement hydraulic model management and attribute information query functions. Yan et al. constructed a simulated watershed system for the Weihe River Basin to provide auxiliary decision support for watershed management departments. In addition, Qin et al. designed a web-based virtual geographic environment platform and applied it to the Chaohu Basin to provide decision support for integrated basin management. Finally, Eidson et al. designed the South Carolina Digital Watershed to manage real-time environmental and hydrological sensor data.

[0004] Although the above studies have visualized environmental perception data, they are also based on charts and cannot perform all-round, multi-angle data visualization and analysis. It is difficult to integrate users' prior knowledge and explore the hidden characteristic laws in environmental perception data. Some visualizations based on two-dimensional maps have certain limitations and cannot meet the needs of building a virtual geographic environment world. Some visualization applications are independent applications, and their interactivity and expertise are limited. At present, it is still difficult to go beyond traditional environmental perception data visualization methods and realize multi-dimensional and multi-perspective display of environmental perception data in the twin world.

[0005] Natural resources refer to natural conditions in nature that can be used by humans, usually including mineral resources, natural resources, water resources, climate resources and biological resources. It is closely related to human society. It is not only an important basis for human survival, but also a necessary condition and place for the raw materials, fuel sources and production layout of social production. At present, it is a very necessary task to summarize and analyze the results of natural resource change surveys. Since the new change survey mechanism was put into use, after the inspection of the results of the natural resource change survey is completed each year, it is necessary to complete the county, city and provincial results summary based on the annual change survey results, calculate the area and changes of each type of land, and summarize the final results of the annual natural resource utilization changes; At present, the summary method of change survey results is mainly manual summary. Although this method can complete the analysis of natural resource utilization change data, it has high labor costs, low work efficiency, poor reusability and scalability, and the summary results cannot be published and shared in time. Today, virtual geographic environment technology has been proven to be indispensable. IoT sensors make virtual geographic environments cost-effective, so they may become a necessary condition for Industry 5.0 and play a major role in understanding, analyzing and optimizing physical objects. The natural environment is perceived by humans, and their replicas (i.e., virtual geographic environments) are perceived by sensors. Humans perceive the natural environment through their five senses, while virtual geographic environments perceive changes in the natural environment through sensors. The perception data returned by sensors needs to be presented to humans in a user-friendly form (i.e., visualization) so that the human brain can analyze the sensor monitoring data. This paper studies how to use the data obtained by sensors to enrich the visualization of environmental perception data in virtual geographic environments, lakes or similar scenes, and better display them to humans in virtual geographic environments facing lakes, and can form information that the human brain can recognize, helping humans to make predictions, analyses and decisions. In view of this, a natural resource big data decision-making system based on virtual geographic environments is proposed. Summary of the invention

[0006] The purpose of the present invention is to provide a natural resource big data decision-making auxiliary system based on a virtual geographic environment to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: a natural resource big data decision-making auxiliary system based on a virtual geographic environment, comprising a decision-making system, wherein the decision-making system comprises an application layer, a presentation layer, a system function logic layer, a data support layer and a basic layer; Preferably, the presentation layer includes summary statistical reports, abnormal analysis reports, data analysis reports and trend analysis charts.

[0008] Preferably, the system functional logic layer includes a data management module, an auxiliary decision-making module and an operation and maintenance management module.

[0009] Preferably, the data management module includes: Data storage unit, this module is used to check and store the original data required for summary analysis; Data management unit, which is used to query, manage and maintain all stored data in the database; Data classification and coding management module: This module provides the configuration of data processing solutions. According to the configured data processing rules, it automatically searches for the original data required for processing from the summary analysis basic database based on the data classification codes in the rules, and then uses the corresponding processing methods in the rules to extract and analyze the original data to form the data required for summary analysis.

[0010] Preferably, the auxiliary decision-making module includes: a data processing model, a data processing and analysis unit, a summary verification model, a summary result output unit, an abnormality analysis unit, an analysis report unit, a thematic map making unit and a trend analysis unit; Wherein, the analysis report unit is based on the summary results, pre-configured with a report template, automatically extracts changes from the summary results, and fills them into the natural resources survey data analysis report template, and outputs the analysis summary report in Word format; The summary result output unit is used to display and distribute data processing results, data summary reports and data analysis reports; The trend analysis unit summarizes and counts the quantity, distribution, and change status of various natural resources based on natural resource surveys; The thematic map production unit uses a spatial fusion method to extract the thematic data of construction land, cultivated land, etc. in each district and county to form a single area element, and then combines all the area elements of all districts and counties in the province into a surface element set, and produces a thematic map of the changes in construction land and cultivated land by rendering; The analysis and reporting unit manually adds thresholds for rules such as agricultural land changing to unused land, excessive traffic, and construction land changing to non-construction land through this module, and stores them uniformly in the database; The abnormal analysis unit uses pre-set rules to compare and analyze the traffic data of the entire province. The system automatically analyzes and extracts the traffic data that exceeds the rule threshold to form an abnormal traffic statistical results table.

[0011] Preferably, the operation and maintenance management module includes: Data dictionary management unit, which implements the management of data naming specifications and data storage structure specifications; The permission management unit provides user management functions, mainly realizing the control of system operation function permissions and data access permissions.

[0012] Preferably, the data support layer includes a troubleshooting data management library, a temporary data service library, an auxiliary decision service library and an impact database.

[0013] The virtual geographic environment is used to assist the management and decision support of the big data of natural resources in the Poyang Lake wetland. The environmental perception data visualization system for the virtual geographic environment lake is of reference significance for the construction of the virtual geographic environment lake. It can realize the diversified expression of lake environmental perception data, analyze and visualize data from multiple angles and directions, and enrich the visualization method of environmental sensor data in the virtual geographic environment world of the lake. At the same time, the system can be applied not only to the virtual geographic environment lake, but also to all similar deployments of environmental perception devices or other virtual geographic scenes.

[0014] The invention proposes a natural resource big data decision-making support system based on a virtual geographic environment, which has the following beneficial effects: the invention realizes multi-level and multi-angle analysis of natural resource survey results, and the flexible automatic data processing mode greatly improves work efficiency, ensures the accuracy and authenticity of natural resource survey and analysis results, and provides decision-making basis for protecting cultivated land resources, strictly managing natural resources, and strengthening macroeconomic regulation of the national economy. It realizes the description, monitoring, prediction, exercise and pre-planning of its physical space. This system discusses how to obtain real-time environmental sensor data in the virtual geographic environment of Poyang Lake. A framework for realizing the visualization of Poyang Lake environmental sensor data in a virtual geographic environment is proposed. These research results are applied to the construction of Poyang Lake digital twins and the integration and management of real-time environmental sensor data. Environmental sensor data is associated with the virtual geographic environment of Poyang Lake. In addition, different visualization methods are used to express the monitoring data of environmental wireless sensors. The multi-dimensional time changes of environmental wireless sensor monitoring data are represented by graphs, and the spatial continuity expression of scalar data in the virtual geographic environment is realized by interpolation methods. On the other hand, the dynamic changes of vector data in the virtual geographic environment are realized by the vector field construction method. These visualization methods enrich the representation of environmental sensor data of Poyang Lake. The real-time environmental sensor video surveillance images are integrated with the virtual geographic environment scene to achieve real-time observation and monitoring of birds and water bodies in Poyang Lake. In addition, this approach also strengthens the integration of virtual environment and real space, saves time for video surveillance location identification, and improves the work efficiency of supervisors. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a principle block diagram of the present invention; Figure 2 It is a principle block diagram of the presentation layer of the present invention; Figure 3 It is a principle block diagram of the system function logic layer of the present invention; Figure 4 This is a principle block diagram of the data support layer of the present invention.

[0016] Figure 5 It is a visualization system for Poyang Lake environmental perception data in a virtual geographic environment.

[0017] Figure 6 The overall framework of the Poyang Lake virtual geographic environment wetland natural resources big data visualization system. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] For example, please refer to Figure 1-4 The present invention provides a technical solution: a natural resource big data decision-making assistance system based on a virtual geographic environment, including a decision-making system, the decision-making system includes an application layer, a presentation layer, a system function logic layer, a data support layer and a basic layer; the Poyang Lake wetland natural resource big data auxiliary management system based on a virtual geographic environment includes three levels: an environmental perception layer, an environmental perception data layer, and a method and application layer.

[0020] The application layer enables users to interact with the database through different permissions; the presentation layer realizes the effective management and display of data results; the system function logic layer is used to complete the statistical analysis of change survey data; the data support layer stores and manages various types of natural resource change survey data, and provides data support for data aggregation and analysis; the basic layer is the basic guarantee for system construction, and through the construction of comprehensive basic settings, it lays a good foundation for the comprehensive construction of the overall application system.

[0021] The presentation layer includes summary statistics reports, abnormal analysis reports, data analysis reports and trend analysis charts; The system functional logic layer includes a data management module, an auxiliary decision-making module and an operation and maintenance management module.

[0022] The data management module includes: a data storage unit, a data management unit and a data classification and coding management module; The data entry unit is used to check and enter the original data required for summary analysis, including the entry of basic data related to natural resources and administrative district and indicator data. During the entry process, detailed information on the source of the data will be recorded; the data management unit is used to query, manage and maintain all the data entered in the database, including data archiving, label management and data retrieval; the data classification and coding management module provides the configuration of the data processing solution, and according to the configured data processing rules, automatically searches for the original data required for processing from the summary analysis basic database based on the data classification coding in the rules, and then uses the corresponding processing methods in the rules to extract and analyze the original data to form the data required for summary analysis; data processing mainly includes data preprocessing, data attachment, spatial analysis, area recalculation, area recalculation, and data aggregation.

[0023] The auxiliary decision-making module includes: a data processing model, a data processing and analysis unit, a summary verification model, a summary result output unit, an abnormality analysis unit, an analysis report unit, a thematic map production unit and a trend analysis unit; Among them, the analysis report unit is based on the summary results, and the report template is pre-configured. The changes are automatically extracted from the summary results, including the changes in cultivated land, construction land, agricultural land to unused land and other change data, and filled into the natural resources survey data analysis report template, and the analysis summary report is output in Word format; the summary result output unit is used to realize the display and distribution of data processing results, data summary reports and data analysis reports; the trend analysis unit analyzes the trend of natural resource utilization changes through relevant data models based on the quantity, distribution and change status of various natural resources such as cultivated land and basic farmland in different years summarized and counted by natural resources survey, and uses line charts, bar charts and other charts to intuitively display the trend of natural resource utilization changes over the years, so as to provide help for predicting the direction of future natural resource utilization changes; the thematic map production unit uses spatial fusion methods to extract the construction land, cultivated land and other special data of each district and county. The topic data constitute a single surface element respectively, and then all the surface elements of all districts and counties in the province are combined into a surface element set. Thematic maps of construction land and cultivated land changes are produced by rendering, which intuitively display the distribution of changes in thematic data such as construction land and cultivated land in the province; the analysis and reporting unit manually adds thresholds for rules such as agricultural land changing to unused land, super-large traffic, and construction land changing to non-construction land through this module, and stores them in the database in a unified manner; the abnormal analysis unit uses pre-set rules to compare and analyze the traffic data of the whole province, and the system automatically analyzes and extracts traffic data that exceeds the rule threshold to form an abnormal traffic statistical results table.

[0024] The operation and maintenance management module includes: a data dictionary management unit and a rights management unit; The data dictionary management unit is used to implement the management of data naming specifications and data storage structure specifications; organize the natural resource survey data and related data involved, clarify the classification logic, build a data dictionary table, and on this basis, store the naming method of data objects in the database, unify the data naming specifications, and record the data coding at the same time to facilitate the management and reading of the data after it is stored in the database; the permission management unit is used to provide user management functions, mainly to realize the control of system operation function permissions and data access permissions.

[0025] The data support layer includes a survey data management library, a temporary data service library, an auxiliary decision service library and an image database; Among them, the survey data management library is used to store system tables (such as user information tables, system logs, etc.), business data, and data related to system management and maintenance; the temporary data business library is used to store external auxiliary data (land industry data); the auxiliary decision-making business library is used to store the result data generated by data analysis and processing, data processing process logs, and system configuration tables; the image database is used to store the image data of various counties and districts issued by the state.

[0026] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0027] Poyang Lake Virtual Geographic Environment Natural Resources Big Data Visualization Reference Figure 5 ,The visualization system is divided into three parts, namely, the Internet of Things perception layer, the environmental perception data layer, and the environmental perception data visualization method and application layer, as described below: IoT perception: IoT perception refers to the environmental perception equipment built in the Poyang Lake area, which usually includes a perception platform and a monitoring platform. The monitoring platform uses various sensors equipped with station buildings, patrol boats, and floating platforms to conduct real-time perception and monitoring of the ecological environment of Poyang Lake from the aspects of air, meteorology, hydrology, and water environment. The monitoring platform is based on poles and tower bases that are higher than the lake surface during the flood season and are equipped with various high-definition cameras to conduct real-time perception video monitoring of Poyang Lake.

[0028] Environmental perception data: Environmental sensor monitoring data is transmitted through the Internet of Things to form time-series, heterogeneous environmental perception monitoring data and environmental perception video monitoring data. Environmental perception monitoring data includes common time-series change data (including both spatial coordinate features and time features of long-term changes), scalar data of multiple attribute features, and vector data with direction and speed; environmental perception video monitoring data is associated with the location of the monitoring site, and the data is transmitted in the form of video streams or historical videos are stored in MP4 format.

[0029] Visualization methods and applications of environmental perception data: Different visualization methods are used according to the characteristics of different data types, and the coordinates of environmental perception data are processed and matched with the virtual space coordinates, so that the environmental perception data can be displayed in the digital twin world of Poyang Lake in multiple angles and dimensions. For time-varying data, the form of charts can better display the time-varying characteristics of the data; for scalar data, regular grids are generated by interpolation, and the scalar field is displayed after matching with the coordinates of the virtual digital twin space; vector data has position and direction, and can be visualized in the digital twin world through vector fields; real-time video surveillance data uses billboard mode and projection video mode to display the actual spatial position of video surveillance and the status of video surveillance in the actual physical space.

[0030] Design and development of a big data visualization system for natural resources in the virtual geographic environment of Poyang Lake Figure 6 , including three levels: data layer, service layer and application layer.

[0031] (1) Data layer: In the Poyang Lake Twin World environmental perception data visualization architecture, the data layer involves data including IoT perception data and Twin World basic geographic data. The basic scenes of the Poyang Lake Twin World include basic geographic data and online map services. DEM data and high-resolution images are used to construct the twin world of the main areas of Poyang Lake. The basic map comes from the OGC network map service (Tiandi Map, OpenStreetMap, etc.); environmental perception data includes Poyang Lake natural environment monitoring data. The monitoring data is mainly based on the real-time monitoring screen of Poyang Lake. The monitoring data comes from the real-time monitoring of different environmental monitoring sensors at the monitoring site and the multi-dimensional dynamic data transmitted and stored by the Internet of Things.

[0032] (2) Service layer: The service layer includes online servers and data servers. The online servers carry the twin world to build online services, publish and manage geospatial data based on SuperMap iServer, and realize online service calls and Web twin world interactions. The data server stores monitoring and surveillance data and returns the front-end Web twin world calls in JSON or GeoJSON format to realize the performance and visualization of twin world perception data.

[0033] (3) Application layer: The application layer is a Web-based twin world basic scene, which combines the display and visualization of environmental perception data to realize the simulation of the twin world scene of Poyang Lake and the mechanism of natural environment change. A virtual twin world of the natural environment of Poyang Lake was created based on Cesium (https: / / cesium.com / platform / cesiumjs), SuperMap iServer, SuperMap iClient3D (https: / / www.supermap.com / ), etc., and the visualization of the environmental perception data of Poyang Lake in the twin world was realized using Web open source plug-ins such as Echarts.js (https: / / echarts.apache.org / zh / index.html) and Kriging.js (http: / / oeo4b.github.io / ). The twin scene uses digital elevation models and high-resolution image data to realize the simulation of the real natural environment of Poyang Lake. The environmental perception data is displayed in the twin scene in multiple dimensions in the form of charts, scalar fields, vector fields, video fusion, etc., realizing the access, interactive visualization and analysis of the environmental perception data of the twin world.

Claims

1. A natural resource big data decision-making system based on a virtual geographic environment, characterized in that: The decision-making system includes an application layer, a presentation layer, a system function logic layer, a data support layer and a basic layer. The Poyang Lake Wetland Natural Resources Big Data Auxiliary Management System based on a virtual geographic environment includes three levels: an environmental perception layer, an environmental perception data layer, and a method and application layer.

2. The natural resource big data decision-making auxiliary system based on virtual geographic environment according to claim 1 is characterized by: The presentation layer includes summary statistics reports, abnormal analysis reports, data analysis reports and trend analysis charts. The digital lake-oriented environmental perception data visualization system applies different visualization methods to different types of environmental perception data to achieve visualization in the virtual geographical environment of Poyang Lake.

3. The natural resource big data decision-making auxiliary system based on virtual geographic environment according to claim 2 is characterized by: The system functional logic layer includes a data management module, an auxiliary decision-making module and an operation and maintenance management module.

4. The natural resource big data decision-making auxiliary system based on virtual geographic environment according to claim 3 is characterized by: The data management module comprises: Data storage unit, this module is used to check and store the original data required for summary analysis; Data management unit, this module is used to query, manage and maintain all the stored data in the database; Data classification and coding management module: This module provides the configuration of data processing solutions. According to the configured data processing rules, it automatically searches for the original data required for processing from the summary analysis basic database based on the data classification codes in the rules, and then uses the corresponding processing methods in the rules to extract and analyze the original data to form the data required for summary analysis.

5. The natural resource big data decision-making auxiliary system based on virtual geographic environment according to claim 4 is characterized by: The auxiliary decision-making module includes: a data processing model, a data processing and analysis unit, a summary verification model, a summary result output unit, an abnormality analysis unit, an analysis report unit, a thematic map production unit and a trend analysis unit, and a wetland environment perception big data visualization; Wherein, the analysis report unit is based on the summary results, pre-configured with a report template, automatically extracts changes from the summary results, and fills them into the natural resources survey data analysis report template, and outputs the analysis summary report in Word format; The summary result output unit is used to display and distribute data processing results, data summary reports and data analysis reports; The trend analysis unit summarizes and counts the quantity, distribution, and change status of various natural resources based on natural resource surveys; The thematic map production unit uses a spatial fusion method to extract the thematic data of construction land, cultivated land, etc. in each district and county to form a single area element, and then combines all the area elements of all districts and counties in the province into a surface element set, and produces a thematic map of the changes in construction land and cultivated land by rendering; The analysis and reporting unit manually adds thresholds for rules such as agricultural land changing to unused land, excessive traffic, and construction land changing to non-construction land through this module, and stores them uniformly in the database; The abnormal analysis unit uses pre-set rules to compare and analyze the traffic data of the entire province. The system automatically analyzes and extracts the traffic data that exceeds the rule threshold to form an abnormal traffic statistical results table.

6. The wetland environment perception big data visualization uses the data obtained by sensors on the Poyang Lake wetland environment perception data to enrich the visualization method of environmental perception data in virtual geographical environment lakes or similar scenarios, better display it to humans in a virtual geographical environment facing the lake, and can form information that can be recognized by the human brain, helping humans to perform predictive analysis and decision-making.

7. The natural resource big data decision-making auxiliary system based on virtual geographic environment according to claim 5 is characterized by: The operation and maintenance management module includes: Data dictionary management unit, which implements the management of data naming specifications and data storage structure specifications; The permission management unit provides user management functions, mainly realizing the control of system operation function permissions and data access permissions.

8. The natural resource big data decision-making auxiliary system based on virtual geographic environment according to claim 6 is characterized by: The data support layer includes a survey data management library, a temporary data service library, an auxiliary decision service library and an impact database.

9. The Internet of Things perception includes Internet of Things perception, that is, environmental perception equipment built in the Poyang Lake area, which usually includes a perception platform and a monitoring platform.

10. The environmental perception data layer includes time-series, heterogeneous environmental perception monitoring data and environmental perception video surveillance data formed after transmission through the Internet of Things.

11. The method and application layer include using different visualization methods according to the characteristics of different data types, processing the coordinates of the environmental perception data and matching them with the virtual space coordinates, so that the environmental perception data can be displayed in multiple angles and dimensions in the virtual geographical environment world of Poyang Lake.

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