Dynamic multi-terminal application method and system for geographic information complex service investigation

Abstract

The invention discloses a dynamic multi-terminal application method for geographic information complex business investigation, and belongs to the technical field of geographic information data processing. Creating a uniformly managed space layer and table data through a spatio-temporal data management center, and defining fields and association relationships of the space layer and the table data; dynamically configuring a logic check rule and a main table-sub table calculation rule based on the defined fields and the association relationship, and supporting dynamic updating in a business process; in the off-line mode, the mobile terminal loads the defined fields, the association relation, the configured logic check rule and the calculation rule, and collaborative collection of spatial data and non-spatial data is executed; and pushing the data change acquired by the mobile terminal to the Web terminal through an incremental synchronization mechanism, and receiving a data structure and a rule dynamically updated by the Web terminal. The universal integrated survey method capable of covering the spatial data and the table data is designed, the survey work is completed through a unified set of tools, and the problem of tool fragmentation is solved.

Description

Technical Field

[0001] The present invention belongs to the field of geographic information data processing technology, and specifically relates to a dynamic multi-terminal application method and system for complex geographic information business surveys. Background Art

[0002] Work in the field of geographic information application involves a large amount of field survey work, involving the collection of complex spatial layers (also called spatial data) and tabular data (also called non-spatial data); among them, spatial layers refer to graphic data with geographic coordinates, such as: the boundary graphics of a plot, field, or forest farm and its attribute information; tabular data refers to data reflected in a structured table with multiple columns of factors, such as: factor information such as seedlings and labor used in the design of forest tending operations in forestry.

[0003] In the current field survey work in the field of geographic information application, complex business scenarios require the simultaneous processing of two types of heterogeneous data sources: spatial data and non-spatial data. Spatial data is represented by graphical layers with geographic coordinates (such as plot boundaries and forest vector maps), while non-spatial data is represented by structured tables with multiple columns of factors (such as statistics on the types of seedlings and labor used in forest cultivation). In the common industry operation mode, the method is generally: define spatial data as layers and define fields, define tabular data as tables or Excel and define data columns. Spatial data can be surveyed using some survey tools that support graphics, and tabular data can be filled in using developed table tools or Excel. Since the developed table tools and Excel can support different structures, this method has a certain degree of versatility. Its advantages are relatively simple processes, good applicability to various survey structures, and low requirements for tools. However, the above method also has three shortcomings, which limit the efficiency of the survey and the quality of the survey work, as described below: First, the fragmentation of tools forces investigators to frequently switch software, and the operation process is redundant and error-prone; second, the logical association between spatial layers and tables (such as the binding of plot IDs to seedling statistics tables) lacks an automated verification mechanism, and data quality relies on manual verification; third, when teams conduct collaborative surveys, task distribution and rule changes cannot be synchronized to offline terminals in real time, and data aggregation requires manual merging, which is inefficient and difficult to ensure consistency.

[0004] While existing technical solutions attempt to address these issues, fundamental bottlenecks remain. Spatial data collection tools only support graphical drawing and cannot integrate tabular data collection and associated logic control. Table management systems can define primary and foreign key relationships, but are limited to purely tabular data and cannot be extended to spatial topological relationships (such as spatial constraints on the location of forest sites within a plot). Offline collection applications, while capable of operating in a network-free environment, require static pre-defined data structures and validation rules, preventing dynamic adjustments during business execution. These limitations have led to core issues that remain unresolved for a long time: the lack of a unified management framework for spatial and non-spatial data, rigid data association rules and quality control logic, and the inability to achieve real-time coordination of rules and data between offline terminals and online platforms.

[0005] Given the current state of the industry and the shortcomings of existing technologies, there is an urgent need to overcome three major technical contradictions: first, a unified definition framework that accommodates spatial layers and non-spatial tables must be established to support users in dynamically creating data structures and fields based on business needs; second, the limitations of traditional primary and foreign key relationships must be overcome to achieve the integrated definition and joint quality inspection of spatial topological relationships (such as containment and adjacency) and table hierarchical relationships; and finally, an incremental collaboration mechanism must be established to enable offline terminals to dynamically receive rule updates and task distribution, ensuring real-time consistency between data structure, verification logic, and collected data during team surveys. Breaking through these bottlenecks is the key to improving the efficiency of complex geographic information business surveys. Summary of the Invention

[0006] The present invention addresses the above-mentioned problems, remedies the deficiencies of the prior art, and provides a dynamic multi-terminal application method and system for complex geographic information business surveys. The present invention solves the problems of inconsistency in spatial data and non-spatial data acquisition tools, inability to dynamically configure data association rules and quality inspection logic, and inability to synchronize rule and data changes in real time between offline terminals and online platforms in complex geographic information business surveys.

[0007] To achieve the above objectives, the present invention adopts the following technical solutions.

[0008] In one aspect, the present invention provides a dynamic multi-terminal application method for complex geographic information business surveys, comprising the following steps: S1. Create unified spatial layers and table data through the spatiotemporal data management center, and define the fields and relationships between the two. S2. Based on the fields and relationships defined in step S1, dynamically configure logic check rules and master-sub-table calculation rules to support dynamic updates during the business process; S3. In offline mode, the mobile terminal loads the fields and associations defined in step S1, and the logic check rules and calculation rules configured in step S2, and performs collaborative collection of spatial data and non-spatial data; S4. Push the data changes collected by the mobile terminal to the Web terminal through the incremental synchronization mechanism, and receive the data structure and rules dynamically updated by the Web terminal.

[0009] Furthermore, the association relationship in step S1 includes: a topological association relationship between spatial layers; a primary and foreign key association relationship between spatial layers and tabular data; and a primary and sub-table hierarchical association relationship between tabular data.

[0010] Furthermore, the dynamic configuration in step S2 includes: adding, modifying or deleting logic check rules in real time during business execution; and dynamically defining aggregation calculation rules for sub-table data to the main table based on the association between the main and sub-tables.

[0011] Furthermore, the collaborative collection in step S3 is specifically as follows: the mobile terminal operates the spatial graphics and table data based on the same interface, and applies the logic check rules and main table-sub-table calculation rules defined in step S2 in real time.

[0012] Furthermore, the topological association relationship includes a spatial containment, adjacency or intersection relationship, which is used to trigger data integrity verification or automatically fill in attribute fields.

[0013] Furthermore, the incremental synchronization mechanism in step S4 specifically includes: generating a unique identification code for each data record; marking incremental data packets based on the operation timestamp and change type; and synchronizing only the changed part to the Web-side spatiotemporal database.

[0014] Furthermore, the dynamic multi-terminal application method for complex geographic information business surveys also includes: the Web terminal uniformly distributes survey tasks to mobile terminals, and dynamically pushes data structure updates to offline terminals.

[0015] Furthermore, the incremental data packet includes a rule update instruction for dynamically updating the logic check rules and calculation rules when the mobile terminal is offline.

[0016] Furthermore, the spatial layer is vector graphics data with geographic coordinates, and the table data is a structured table with multiple columns of factors.

[0017] On the other hand, the present invention also provides a dynamic multi-terminal application system for complex geographic information business surveys, which includes: a spatiotemporal data management center module, a dynamic rule engine module, a multi-terminal collaboration module, and an incremental synchronization module; The spatiotemporal data management center module is used to create unified management of spatial layers and tabular data, and define the fields and relationships between the two; The dynamic rule engine module is used to dynamically configure logic check rules and master table-sub table calculation rules based on the fields and association relationships defined by the spatiotemporal data management center module, supporting dynamic updates during business processes; The multi-terminal collaboration module is used to load the fields and associations defined by the spatiotemporal data management center module and the logic check rules and calculation rules configured by the dynamic rule engine module on the mobile terminal in offline mode to perform collaborative collection of spatial data and non-spatial data; The incremental synchronization module is used to push data changes collected by the mobile terminal to the Web terminal and receive data structures and rules dynamically updated by the Web terminal.

[0018] Beneficial effects of the present invention: The present invention constructs a unified definition framework that accommodates spatial layers and non-spatial tables, supports users to dynamically create data structures and fields according to business needs, designs a universal, integrated survey method that can cover spatial data and tabular data, and can freely define geographic information business survey services according to business needs, implement a unified set of tools to complete the survey work, and solve the problem of tool fragmentation; the present invention realizes the fusion definition and joint quality inspection of spatial topological relationships and tabular hierarchical relationships, breaking through the limitation that the association between master and child tables is limited to the primary and foreign key routes, and on this basis realizes the dynamic calculation and data quality inspection of spatial and tabular data of complex businesses based on relationship definitions, thereby improving the automation level and data quality of data association constraints. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0020] Figure 1 This is a flow chart of a dynamic multi-terminal application method for complex geographic information business surveys of the present invention.

[0021] Figure 2 This is a schematic structural diagram of a dynamic multi-terminal application system for complex geographic information business surveys of the present invention.

[0022] Markings in the figure: 200 is the spatiotemporal data management center module, 201 is the dynamic rule engine module, 202 is the multi-terminal collaboration module, 203 is the incremental synchronization module, and 204 is the dynamic multi-terminal application system. DETAILED DESCRIPTION

[0023] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0024] like Figure 1 As shown, an embodiment of the present invention provides a dynamic multi-terminal application method for complex geographic information business survey, including the following steps: S1. Create unified spatial layers and table data through the spatiotemporal data management center, and define the fields and relationships between the two. Specifically, the association relationship in step S1 includes: topological association relationship between spatial layers; primary and foreign key association relationship between spatial layers and table data; primary and sub-table hierarchical association relationship between table data; The topological association relationship includes spatial inclusion, adjacency or intersection relationship, which is used to trigger data integrity verification or automatically fill in attribute fields.

[0025] S2. Based on the fields and relationships defined in step S1, dynamically configure logic check rules and master-sub-table calculation rules to support dynamic updates during the business process; Specifically, the dynamic configuration in step S2 includes: adding, modifying or deleting logic check rules in real time during business execution; and dynamically defining aggregation calculation rules for sub-table data to the main table based on the association between the main and sub-tables.

[0026] S3. In offline mode, the mobile terminal loads the fields and associations defined in step S1, and the logic check rules and calculation rules configured in step S2, and performs collaborative collection of spatial data and non-spatial data; Specifically, the collaborative collection in step S3 is as follows: the mobile terminal operates the spatial graphics and table data based on the same interface, and applies the logic check rules and main table-sub-table calculation rules defined in step S2 in real time.

[0027] S4. Through the incremental synchronization mechanism, the data changes collected by the mobile terminal are pushed to the Web terminal, and the dynamically updated data structure and rules of the Web terminal are received; the survey factor structure and data inspection method are dynamically updated during the survey, and unified data distribution and results collection are achieved.

[0028] Specifically, the incremental synchronization mechanism in step S4 includes: generating a unique identification code for each data record; marking incremental data packets based on the operation timestamp and change type; synchronizing only the changed part to the Web-side spatiotemporal database; The incremental data packet includes a rule update instruction for dynamically updating logic check rules and calculation rules when the mobile terminal is offline.

[0029] Specifically, the dynamic multi-terminal application method for complex geographic information business surveys also includes: the Web terminal uniformly distributes survey tasks to mobile terminals, and dynamically pushes data structure updates to offline terminals.

[0030] Specifically, the spatial layer is vector graphics data with geographic coordinates, and the table data is a structured table with multiple columns of factors.

[0031] Through the technical solutions described in steps S3 to S4, a field data management mechanism that synchronizes offline surveys with online data is implemented, achieving unified task distribution, unified structure updates, and unified data management. In the unified spatiotemporal data management, spatial layers and data tables generate a unique identification code for each data record, and mark incremental data packets based on operation timestamps and change types, thereby realizing the ability to conduct offline field surveys, push survey content changes, and upload and summarize survey results online.

[0032] like Figure 2 As shown, an embodiment of the present invention provides a dynamic multi-terminal application system for complex geographic information business surveys. The dynamic multi-terminal application system 204 includes: a spatiotemporal data management center module 200, a dynamic rule engine module 201, a multi-terminal collaboration module 202, and an incremental synchronization module 203; The spatiotemporal data management center module 200 is used to create unified management of spatial layers and tabular data, and define the fields and relationships between the two; The dynamic rule engine module 201 is used to dynamically configure logic check rules and master table-sub-table calculation rules based on the fields and association relationships defined by the spatiotemporal data management center module, supporting dynamic updates during business processes; Specifically, the spatiotemporal data management center module 200 is used to create spatial data (i.e., spatial layers) and tabular data, and manage the relationship between the data. Based on this, the corresponding layers, tables and their field definitions are defined. On this basis, the logical inspection rules of each layer or table are defined, and based on the association between the main and sub-tables, the calculation relationship between the main table and the sub-table is further defined; for example: summarizing from the sub-table, taking the average, and other methods are automatically calculated to the main table. These definitions can be dynamically changed as needed during the business process.

[0033] The multi-terminal collaboration module 202 is used to load the fields and associations defined by the spatiotemporal data management center module and the logic check rules and calculation rules configured by the dynamic rule engine module on the mobile terminal in offline mode to perform collaborative collection of spatial data and non-spatial data; The incremental synchronization module 203 is used to push the data changes collected by the mobile terminal to the Web terminal, and receive the data structure and rules dynamically updated by the Web terminal.

[0034] Specifically, through the cooperation of the multi-terminal collaboration module 202 and the incremental synchronization module 203, a multi-terminal survey framework of mobile terminal + Web terminal is established to provide support for dynamic customized applications and provide field survey support for conducting dynamic fixed investment business surveys.

[0035] The present invention has the following technical advantages: (1) By using the technical solutions of the above embodiments of the present invention, geographic information business surveys can be freely defined according to business needs, and a unified set of tools can be used to complete them, thus solving the problem of tool fragmentation. With versatility, users can customize survey content, covering surveys of spatial data and tabular data. (2) By using the technical solutions of the above embodiments of the present invention, it is applicable to the data association relationship of spatial data and tabular data, breaking the limitation that the master-subtable association is limited to the primary and foreign key routes, and realizing the dynamic calculation and data quality inspection of spatial and tabular data based on the relationship definition of complex business; (3) By using the technical solutions of the above embodiments of the present invention, offline field surveys that can meet the needs of complex geographic information services, online data structure and logic rule updates, and online team task collection and management can be achieved, ensuring data consistency in this process.

[0036] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "preferred embodiments," "specific implementations," or "preferred implementations" means that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, illustrative uses of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0037] It can be understood that the above specific description of the present invention is only used to illustrate the present invention and is not limited to the technical solutions described in the embodiments of the present invention. Those skilled in the art should understand that the present invention can still be modified or replaced by equivalents to achieve the same technical effects; as long as the use requirements are met, they are within the scope of protection of the present invention.

Claims

1. A dynamic multi-terminal application method for complex geographic information business surveys, characterized by: The following steps are included: S1. Create unified spatial layers and table data through the spatiotemporal data management center, and define the fields and relationships between the two. S2. Based on the fields and relationships defined in step S1, dynamically configure logic check rules and master-sub-table calculation rules to support dynamic updates during the business process; S3. In offline mode, the mobile terminal loads the fields and associations defined in step S1, and the logic check rules and calculation rules configured in step S2, and performs collaborative collection of spatial data and non-spatial data; S4. Push the data changes collected by the mobile terminal to the Web terminal through the incremental synchronization mechanism, and receive the data structure and rules dynamically updated by the Web terminal.

2. The dynamic multi-terminal application method for complex geographic information business survey according to claim 1 is characterized by: The association relationships in step S1 include: topological association relationships between spatial layers; primary and foreign key association relationships between spatial layers and tabular data; and primary and sub-table hierarchical association relationships between tabular data.

3. The dynamic multi-terminal application method for complex geographic information business survey according to claim 1 is characterized by: The dynamic configuration in step S2 includes: adding, modifying or deleting logic check rules in real time during business execution; and dynamically defining aggregation calculation rules for sub-table data to the main table based on the association between the main and sub-tables.

4. The dynamic multi-terminal application method for complex geographic information business survey according to claim 1 is characterized by: The collaborative collection in step S3 is specifically as follows: the mobile terminal operates the spatial graphics and table data based on the same interface, and applies the logic check rules and main table-sub-table calculation rules defined in step S2 in real time.

5. The dynamic multi-terminal application method for complex geographic information business survey according to claim 2 is characterized by: The topological association relationship includes a spatial containment, adjacency or intersection relationship, which is used to trigger data integrity verification or automatically fill in attribute fields.

6. The dynamic multi-terminal application method for complex geographic information business survey according to claim 1 is characterized by: The incremental synchronization mechanism in step S4 specifically includes: generating a unique identification code for each data record; marking incremental data packets based on the operation timestamp and change type; and synchronizing only the changed parts to the Web-side spatiotemporal database.

7. The dynamic multi-terminal application method for complex geographic information business survey according to claim 1 is characterized by: The dynamic multi-terminal application method for complex geographic information business surveys also includes: the Web terminal uniformly distributes survey tasks to the mobile terminal, and dynamically pushes data structure updates to offline terminals.

8. The dynamic multi-terminal application method for complex geographic information business survey according to claim 6 is characterized by: The incremental data packet includes a rule update instruction for dynamically updating logic check rules and calculation rules when the mobile terminal is offline.

9. The dynamic multi-terminal application method for complex geographic information business survey according to any one of claims 1 to 8, characterized in that: The spatial layer is vector graphics data with geographic coordinates, and the table data is a structured table with multiple columns of factors.

10. A dynamic multi-terminal application system for complex geographic information business surveys, characterized by: The dynamic multi-terminal application system includes: spatiotemporal data management center module, dynamic rule engine module, multi-terminal collaboration module, and incremental synchronization module; The spatiotemporal data management center module is used to create unified management of spatial layers and tabular data, and define the fields and relationships between the two; The dynamic rule engine module is used to dynamically configure logic check rules and master table-sub table calculation rules based on the fields and association relationships defined by the spatiotemporal data management center module, supporting dynamic updates during business processes; The multi-terminal collaboration module is used to load the fields and associations defined by the spatiotemporal data management center module and the logic check rules and calculation rules configured by the dynamic rule engine module on the mobile terminal in offline mode to perform collaborative collection of spatial data and non-spatial data; The incremental synchronization module is used to push data changes collected by the mobile terminal to the Web terminal and receive data structures and rules dynamically updated by the Web terminal.

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