Regional planning processes and associated redevelopment projects can be complex due to the vast amount of diverse data involved. However, all of this data shares a common geographical reference, especially in the renaturation of former open-cast mining areas. To ensure safety, it is crucial to maintain a comprehensive overview of the interrelated data and draw accurate conclusions. This requires special tools and can be a very time-consuming process. A geographical information system (GIS) is well-suited for this purpose, but even a GIS has limitations when dealing with multiple data types and sources. Additional tools are often necessary to process and view all the data, which can complicate the planning process. Our paper describes a system architecture that addresses the aforementioned issues and provides a simple, yet flexible tool for these activities. The architecture is based on microservices using Docker and is divided into a backend and a frontend. The backend simplifies and generalizes the integration of different data types, while a graph database is used to link relevant data and reveal potential new relationships between them. Finally, a modern web frontend displays the data and relationships.

翻译：区域规划流程及相关重建项目因涉及大量多样化数据而变得复杂。然而，这些数据共享共同的地理参考信息，特别是在前露天采矿区复垦项目中。为确保安全，必须全面掌握相互关联的数据并得出准确结论。这需要专门的工具，且过程可能十分耗时。地理信息系统（GIS）非常适合此目的，但即使GIS在处理多种数据类型和来源时也存在局限。通常需要额外工具来处理和查看所有数据，这会使规划过程复杂化。本文描述了一种能够解决上述问题的系统架构，并为这些活动提供了简单而灵活的工具。该架构基于Docker的微服务设计，分为后端和前端两部分。后端简化并概括了不同类型数据的集成，同时使用图数据库来关联相关数据并揭示它们之间潜在的新关系。最后，现代Web前端展示这些数据和关系。