Water conservancy survey cloud data interaction and auxiliary mapping system

Abstract

This application relates to a cloud-based data interaction and assisted mapping system for water conservancy surveying, and falls within the field of water conservancy surveying data processing and mapping technology. It includes a data integration module, a standardization processing module, a multi-layer visualization module, and an interactive query module. The data integration module collects regional geological data, hydrogeological data, geomorphological data, and exploration data. The standardization processing module unifies the coordinates, scale, and attribute standards of the data. The multi-layer visualization module includes at least five geographic information layers. The interactive query module includes a base map switching submodule, a data import submodule, and a parameter query submodule. This system can process scattered and diverse regional basic data, enabling rapid querying, visualization, and comprehensive analysis of regional data. It facilitates the acquisition of electronic visualization results of various existing data to assist in engineering design and decision-making at various stages of water conservancy projects, including preliminary planning, feasibility studies, and preliminary design.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of water conservancy survey data processing and mapping, in particular to a water conservancy survey cloud data interaction and auxiliary mapping system. BACKGROUND

[0002] In the field of water conservancy engineering, the preliminary survey work is crucial for the planning, design and subsequent construction of the project. Accurate geological information can help predict potential geological problems during construction and reduce the risk of geological disasters. With the development of technology, digital technology has gradually attracted attention in water conservancy survey. The cross-integrated application of water conservancy survey and computer technology to realize the electronic, visual display and analysis of related data has become an important way to improve the efficiency and quality of water conservancy survey. At the same time, due to the similarity of the survey industry, the related technical achievements can also be popularized to civil construction survey, power survey, railway survey, highway survey and other geological survey industries under the national land system, and have a wide application prospect. In the past, to solve the query and application problems of water conservancy survey data, the Geological Surveying and Mapping Institute of China under the support of the Ministry of Land and Resources and the China Geological Survey developed the geological cloud service. The service is free of charge for the public through the web page, mainly focusing on macro visual query services, supporting decision-making for geological resource management and national spatial planning. It provides visual query services from a macro perspective, mainly displaying small-scale regional maps in the entire large area of China. In addition, the traditional water conservancy survey data collection method is relatively scattered, and part of the data is still in paper form. Although part of the data has been converted into electronic form, there are problems such as distortion and deformation of scanned images, poor image quality, and differences in scale, coordinate system and attribute standards of data from different sources, which brings difficulties to the integration and application of data. Therefore, in view of the above status, it is urgent to develop a water conservancy survey cloud data interaction and auxiliary mapping system to overcome the shortcomings in current practical applications. SUMMARY

[0003] In order to solve the defects in the above-mentioned technology, the application provides a water conservancy survey cloud data interaction and auxiliary mapping system.

[0004] The water conservancy survey cloud data interaction and auxiliary mapping system provided by the application adopts the following technical scheme: The water conservancy survey cloud data interaction and auxiliary mapping system comprises a data integration module, a standardization processing module, a sub-layer visualization module and an interactive query module; the data integration module is used to collect regional geological data, hydrogeological data, topographic data and exploration data; the standardization processing module is used to unify the coordinates, scale and attribute standards of the data; the sub-layer visualization module comprises at least five geographic information layers; and the interactive query module comprises a base map switching submodule, a data import submodule and a parameter query submodule.

[0005] Beneficial effects: This system can unify and standardize scattered and diverse regional basic data to form a complete and accurate regional database, enabling rapid querying, visualization, and comprehensive analysis of regional data. It provides basic general data for the planning and design of water conservancy projects with relatively low initial costs, helps predict potential geological problems during project construction, reduces the risk of geological disasters, improves surveying and production efficiency, and facilitates the acquisition of electronic visualization results of various existing data to assist in the engineering design and decision-making at each stage of water conservancy project planning, feasibility study, and preliminary design.

[0006] In one optional implementation, the standardization processing module includes a coordinate transformation unit and a scale matching unit. The coordinate transformation unit converts raw data from different coordinate systems into a preset unified coordinate system, and the scale matching unit converts raw data from different scales into preset unified scale data through a spatial interpolation algorithm.

[0007] Beneficial effects: The coordinate transformation unit converts raw data from different coordinate systems into a preset unified coordinate system, ensuring accurate matching and seamless connection between different data, which facilitates regional geological research and engineering planning; the scale matching unit converts raw data from different scales into preset unified scale data through spatial interpolation algorithms, which can improve the universality and consistency of the data.

[0008] In one optional implementation, the layered visualization module includes a regional geological layer, a regional hydrological layer, a regional structural layer, a regional geomorphological layer, and an exploration data layer, and each layer supports transparency adjustment and overlay display functions.

[0009] Beneficial effects: The data integration module collects regional geological, hydrogeological, geomorphological, and exploration data. The standardization module unifies coordinates, scale, and attribute standards. The layered visualization module displays regional geological, hydrological, structural, geomorphological, and exploration data in layers. Each layer supports transparency adjustment and overlay display, enabling visualized layered display and flexible viewing of regional data. This improves the utilization efficiency of regional basic data and provides strong data support for geological research, engineering construction, and resource development.

[0010] In one optional implementation, the data import submodule is configured with a KML file parsing interface and an SHP file parsing interface, and supports automatically converting the spatial coordinates of the imported data into the unified coordinate system and then overlaying it onto the corresponding layer.

[0011] Beneficial effects: By configuring KML and SHP file parsing interfaces, it is possible to import KML and SHP files. It supports automatically converting the spatial coordinates of imported data into a unified coordinate system and then overlaying them onto the corresponding layer. It can closely integrate the specific location of the project with the regional data for interactive display, avoiding further processing and improving ease of use. It can also solve the problem of inconsistent coordinates in basic data, enabling accurate matching and seamless connection of data from different sources.

[0012] In one optional implementation, the exploration data layer includes a borehole location coordinate field, a lithological description field, and a groundwater depth field, and is configured with a field retrieval engine to enable cross-queries based on geographical location or geological features.

[0013] Beneficial effects: This system collects regional geological, hydrogeological, geomorphological, and exploration data, standardizes coordinates, scales, and attributes, transforms raw data from different coordinate systems and scales, displays the data in geographic information layers with adjustable transparency and overlay capabilities, and configures KML and SHP file parsing interfaces to import data and automatically convert spatial coordinates to overlay on the corresponding layers. The exploration data layers include borehole location coordinates, lithological descriptions, and groundwater depth fields. The field retrieval engine enables cross-referencing by geographical location or geological features, improving the efficiency of exploration data utilization, facilitating the acquisition of necessary information, avoiding duplication of work and unnecessary cost consumption, and providing more accurate and effective data support for water conservancy project planning and design.

[0014] In one optional implementation, the parameter query submodule further includes a seismic motion parameter query submodule, which is configured with a peak ground acceleration database and a response spectrum period database, and includes a coordinate positioning and parameter matching algorithm.

[0015] Beneficial effects: The data integration module collects regional geological, hydrogeological, geomorphological, and exploration data; the standardization module unifies the coordinates, scale, and attribute standards of the data; the layered visualization module includes at least five geographic information layers; and the interactive query module includes sub-modules for base map switching, data import, and parameter query. Based on this, the seismic motion parameter query sub-module is configured with a peak ground acceleration database and a response spectrum period database. Combined with coordinate positioning and parameter matching algorithms, it allows designers to overcome the inconvenience of traditionally querying earthquake data using standards. Through electronic queries, they can quickly obtain peak ground acceleration and response spectrum characteristic periods, greatly improving production efficiency.

[0016] In one optional implementation, the parameter query submodule further includes a templated map generation module, which is configured with a preset map frame template library and supports the automatic generation of scale markers, north arrow markers, and map sheet latitude and longitude coordinate labels.

[0017] Beneficial effects: The system's data integration module collects regional geological, hydrogeological, geomorphological, and exploration data; the standardization processing module unifies the coordinates, scale, and attribute standards of the data; the layered visualization module includes multiple geographic information layers; the interactive query module includes base map switching, data import, and parameter query sub-modules; the seismic motion parameter query sub-module is equipped with relevant databases and algorithms; and the templated mapping module is configured with a preset map frame template library and can automatically generate scale markers, north arrow markers, and map sheet latitude and longitude coordinate labels. It can realize rapid query, visualization, and comprehensive analysis of regional data, reduce manual drawing workload, improve mapping efficiency and accuracy, and provide accurate and standardized base map data for water conservancy project planning and design.

[0018] In one optional implementation, the system is configured with a three-level access control system, which includes data viewing permissions, data editing permissions, and system management permissions, and is equipped with an intranet data isolation device to prevent core data from being transmitted outside.

[0019] Beneficial effects: The system's three-level access control system can grant different users data viewing, editing, and system management permissions, achieving precise control at different levels; the intranet data isolation device can prevent core data from being transmitted outside, ensuring that core data is "usable but not leaked," thus improving system data security.

[0020] In one alternative implementation, the base map switching submodule integrates at least eight different types of base map data, including Tianditu imagery, vector base map, topographic base map, dimensional base map, daytime street map, nighttime street map, light canvas base map, and dark canvas base map.

[0021] Beneficial effects: It integrates at least eight different types of base map data, enabling rich display of various base map data.

[0022] In one optional implementation, the interactive query module further includes a surveying tool set, which includes a distance measurement unit, an area measurement unit, a graphic annotation unit, and a dynamic positioning unit, and the graphic annotation unit supports point, line, surface, and polygon drawing functions.

[0023] Beneficial effects: The system can perform distance measurement, area measurement, graphic annotation, and dynamic positioning. The graphic annotation can also draw points, lines, surfaces, and polygons, providing users with diverse surveying tools, facilitating the measurement and annotation of geographic information, improving the system's practicality and convenience, and contributing to the efficient conduct of water conservancy surveying work.

[0024] In summary, this application includes at least one of the following beneficial technical effects: 1. To address the issues of scattered and incomplete sources of basic data, a data integration module is used to collect regional geological, hydrogeological, geomorphological, and exploration data to form a complete and accurate regional database; 2. To resolve the issue of inconsistent scales and coordinates in basic data, the standardization processing module can unify the coordinates and scales of the data, improving the universality and consistency of the data, and ensuring accurate matching and seamless integration of different data. 3. To address the issue of inconsistent attribute standards for basic data, the standardization processing module unifies the attribute standards of the data, establishes unified data standards, and improves the quality and usability of the data; 4. To address the issue of low efficiency in the reuse of exploration data, the exploration data layer is configured with a field retrieval engine, which enables cross-queries based on geographical location or geological features, thereby improving the utilization efficiency of exploration data. 5. To address the issue of inconvenience in use, the interactive query module includes sub-modules for base map switching, data import, and parameter query. It also integrates a surveying toolset, enabling rapid querying, visualization, and comprehensive analysis of regional data. Furthermore, the system is a web-based platform, reducing the computer hardware requirements and learning burden for users. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the overall process of the water conservancy survey cloud data interaction and assisted mapping system provided in the embodiments of this application; Figure 2 This is a schematic diagram of the interactive query module provided in an embodiment of this application; Figure 3 This is a flowchart illustrating the parameter query submodule provided in this application embodiment. Detailed Implementation

[0026] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0027] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0028] In the description of this application, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0029] Furthermore, the technical features involved in the different embodiments of this application described below can be combined with each other as long as they do not conflict with each other.

[0030] The following is in conjunction with the appendix Figure 1 This application will be described in further detail.

[0031] The present invention provides the following embodiments: Example 1

[0032] refer to Figures 1-2 The water conservancy survey cloud data interaction and assisted mapping system provided in this application includes a data integration module, a standardization processing module, a layered visualization module, and an interactive query module. These modules work in sequence to integrate, process, display, and query dispersed water conservancy survey data, meeting the design and decision-making needs of various stages of water conservancy projects. This is because the data integration module collects various types of data, providing a foundation for subsequent processing; the standardization processing module unifies data standards, facilitating data integration and application; the layered visualization module displays data in layers for easy user viewing; and the interactive query module provides multiple query methods, improving the efficiency of data acquisition for users.

[0033] Specifically, the data integration module includes a data collection unit and a data storage unit. The data collection unit is used to collect regional geological data, hydrogeological data, geomorphological data, and exploration data. The data collection unit can collect data in various ways, such as retrieving it from a database, reading it from a file, or receiving it via a network interface. Taking regional geological data as an example, it can be the original data of Shanxi Province regional maps, national administrative division vector data, and geological maps of various sub-regions of Shanxi Province obtained from the database of geological survey departments, or it can be data obtained by processing scanned paper documents. The data storage unit is used to store the collected data. It can be a local database or a cloud storage system. The data storage unit can use relational databases or non-relational databases to store the data to adapt to different types of data storage needs.

[0034] The data collection unit and the data storage unit are connected via a data transmission interface. The data collection unit transmits the collected data to the data storage unit for storage. The data storage unit can classify and store the data, for example, storing regional geological data in one table and hydrogeological data in another table, to facilitate subsequent processing and querying.

[0035] The standardization processing module includes a coordinate transformation unit and a scale matching unit. The coordinate transformation unit converts raw data from different coordinate systems into a preset unified coordinate system. This unit can utilize the coordinate transformation function in Geographic Information System (GIS) software to convert raw data from different coordinate systems into the preset unified coordinate system. For example, it converts raw data from the WGS84 coordinate system into data from the CGCS2000 coordinate system. The scale matching unit converts raw data from different scales into data at the preset unified scale using spatial interpolation algorithms. This unit can employ spatial interpolation algorithms such as bilinear interpolation and cubic spline interpolation to convert raw data from different scales into data at the preset unified scale. For example, it converts raw data at a 1:10000 scale into data at a 1:50000 scale. The coordinate transformation unit and the scale matching unit are connected through a data processing interface. The coordinate transformation unit transmits the converted coordinate data to the scale matching unit, which performs scale conversion on the coordinate data. The standardization processing module may also include an attribute standardization unit to standardize the attribute standards of the data, such as standardizing field names, formats, and value ranges.

[0036] The layered visualization module includes regional geological layers, regional hydrological layers, regional structural layers, regional geomorphological layers, and exploration data layers. Each layer supports transparency adjustment and overlay display functions. The regional geological layer displays regional geological information, such as strata, rocks, and geological structures. Different colors and symbols can be used to represent different geological information for user viewing. The regional hydrological layer displays regional hydrological information, such as rivers, lakes, and groundwater. Different lines and colors can be used to represent different hydrological information for user viewing. The regional structural layer displays regional structural information, such as faults and folds. Different lines and symbols can be used to represent different structural information for user viewing. The regional geomorphological layer displays regional geomorphological information, such as mountains, plains, and hills. Different colors and grayscale levels can be used to represent different geomorphological information for user viewing. The exploration data layer displays exploration data information, such as borehole locations, lithological descriptions, and groundwater depths. Exploration data layers can use different symbols and colors to represent different exploration data information for easier viewing. Layers can be managed through a layer management interface, allowing users to adjust the transparency and stacking order of each layer as needed. The layer visualization module also provides a layer query function, allowing users to search for specific layer information by entering keywords or selecting criteria.

[0037] The interactive query module includes a base map switching submodule, a data import submodule, and a parameter query submodule. The base map switching submodule integrates at least eight different types of base map data, including Tianditu imagery, vector base maps, topographic base maps, 3D base maps, daytime street maps, nighttime street maps, light-colored canvas base maps, and dark-colored canvas base maps. This submodule provides a base map selection interface, allowing users to choose different types of base map data as needed. The data import submodule is configured with KML and SHP file parsing interfaces and supports automatically converting the spatial coordinates of imported data to a unified coordinate system before overlaying it onto the corresponding layer. This submodule provides a data import interface where users can select the KML or SHP file to import; the submodule will automatically parse the file and overlay the data onto the corresponding layer. The parameter query submodule is used to query various parameter information, such as seismic motion parameters and exploration data. This submodule provides a parameter query interface where users can input query conditions to retrieve specific parameter information.

[0038] The base map switching, data import, and parameter query submodules are managed through a query management interface, allowing users to perform operations such as base map switching, data import, and parameter querying. The interactive query module also provides search and location functions, enabling users to locate specific areas by entering keywords or selecting a location, and to perform mapping on the map.

[0039] The implementation principle of this embodiment is as follows: The water conservancy survey cloud data interaction and assisted mapping system of this embodiment collects various types of water conservancy survey data through the data integration module, providing a rich data foundation for subsequent processing. The standardization processing module unifies the coordinates, scale, and attribute standards of the data, solving the problem of inconsistent standards in traditional water conservancy survey data and facilitating data integration and application. The layered visualization module divides the data into at least five geographic information layers for display and supports transparency adjustment and overlay display functions, allowing users to view different types of geographic information as needed. The interactive query module provides functions such as base map switching, data import, and parameter query to meet diverse user query needs. Through the collaborative work of each module, the entire system achieves unified standard integrated display of water conservancy survey data, improves survey production efficiency, and provides strong data support for various stages of water conservancy engineering projects, such as early planning, feasibility studies, and preliminary design. Compared with existing technologies, it solves problems such as scattered and incomplete sources of basic data, inconsistent scales and coordinates, inconsistent attribute standards, low efficiency of exploration data reuse, and inconvenience of use, and plays an important role in promoting the digital transformation of the water conservancy survey industry. Example 2

[0040] refer to Figures 1-3 The difference between this embodiment and the previous embodiment lies in that the interactive query module includes a seismic motion parameter query submodule and a templated mapping module. The seismic motion parameter query submodule is configured with a peak ground acceleration (PGA) database and a response spectrum period database, and includes coordinate positioning and parameter matching algorithms. Based on the user-input geographical location information, the seismic motion parameter query submodule can query the corresponding seismic motion parameter information from the PGA database and the response spectrum period database using the coordinate positioning and parameter matching algorithms. The templated mapping module is configured with a preset map frame template library and supports the automatic generation of scale markers, north arrow markers, and map sheet latitude and longitude coordinate labels. Based on the map frame template selected by the user, the templated mapping module can automatically generate a map including scale markers, north arrow markers, and map sheet latitude and longitude coordinate labels.

[0041] The implementation principle of this embodiment is as follows: Based on Embodiment 1, this embodiment adds a seismic ground motion parameter query submodule and a templated mapping module. The seismic ground motion parameter query submodule provides users with the function of quickly obtaining seismic ground motion parameter information, eliminating the inconvenience of traditionally querying earthquake data using standards and improving production efficiency. The templated mapping module can automatically generate maps that conform to standards, reducing the workload of manual map drawing and improving mapping efficiency and quality. The addition of these two modules further improves the functionality of the water conservancy survey cloud data interaction and auxiliary mapping system, enabling it to better meet the actual needs of water conservancy engineering projects. Compared with existing technologies, it provides a more convenient and efficient solution for seismic ground motion parameter query and mapping, enhancing the system's practicality and value.

[0042] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this application.

Claims

1. A cloud-based data interaction and assisted mapping system for water conservancy surveying, characterized in that: It includes a data integration module, a standardization processing module, a multi-layer visualization module, and an interactive query module. The data integration module is used to collect regional geological data, hydrogeological data, geomorphological data, and exploration data. The standardization processing module is used to unify the coordinates, scale, and attribute standards of the data. The multi-layer visualization module includes at least five geographic information layers. The interactive query module includes a base map switching submodule, a data import submodule, and a parameter query submodule.

2. The water conservancy survey cloud data interaction and assisted mapping system according to claim 1, characterized in that: The standardization processing module includes a coordinate transformation unit and a scale matching unit. The coordinate transformation unit converts the original data of different coordinate systems into a preset unified coordinate system, and the scale matching unit converts the original data of different scales into preset unified scale data through a spatial interpolation algorithm.

3. The water conservancy survey cloud data interaction and assisted mapping system according to claim 2, characterized in that: The layered visualization module includes regional geological layers, regional hydrological layers, regional structural layers, regional geomorphological layers, and exploration data layers, and each layer supports transparency adjustment and overlay display functions.

4. The water conservancy survey cloud data interaction and assisted mapping system according to claim 3, characterized in that: The data import submodule is configured with KML file parsing interface and SHP file parsing interface, and supports automatically converting the spatial coordinates of the imported data into the unified coordinate system and then overlaying it onto the corresponding layer.

5. The water conservancy survey cloud data interaction and assisted mapping system according to claim 4, characterized in that: The exploration data layer includes borehole location coordinates, lithological description, and groundwater depth fields, and is equipped with a field retrieval engine to enable cross-queries based on geographical location or geological features.

6. The water conservancy survey cloud data interaction and assisted mapping system according to claim 5, characterized in that: The parameter query submodule also includes a ground motion parameter query submodule, which is configured with a peak ground acceleration database and a response spectrum period database, and includes coordinate positioning and parameter matching algorithms.

7. The water conservancy survey cloud data interaction and assisted mapping system according to claim 6, characterized in that: The parameter query submodule also includes a templated map generation module, which is equipped with a preset map frame template library and supports the automatic generation of scale markers, north arrow markers, and map sheet latitude and longitude coordinate labels.

8. The water conservancy survey cloud data interaction and assisted mapping system according to claim 7, characterized in that: The system is equipped with a three-level access control system, which includes data viewing permissions, data editing permissions, and system management permissions, and is also equipped with an intranet data isolation device to prevent core data from being transmitted outside.

9. The water conservancy survey cloud data interaction and assisted mapping system according to claim 8, characterized in that: The base map switching submodule integrates at least eight different types of base map data, including Tianditu imagery, vector base map, topographic base map, dimensional base map, daytime street map, nighttime street map, light canvas base map, and dark canvas base map.

10. The water conservancy survey cloud data interaction and assisted mapping system according to claim 9, characterized in that: The interactive query also includes a surveying tool group, which includes a distance measurement unit, an area measurement unit, a graphic annotation unit, and a dynamic positioning unit. The graphic annotation unit supports point, line, surface, and polygon drawing functions.

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