GIS Data Record Interface Plug-in Conversion
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Solution Overview
Problem
Geographical information systems, such as weather interactive processing systems, face challenges in integrating diverse and ever-changing weather-related data types from various sources, making it difficult to utilize all available data efficiently.
Innovation Solution
A computing system with a data record interface that converts data types using plug-ins, allowing new data types to be added or existing ones modified without altering the underlying GIS, by invoking specific plug-ins to handle unique data types and convert them into a common format suitable for the GIS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the geographical information system is modified to handle new data types, then data compatibility is improved, but system complexity and development time increase
Solution Approach 1:
The system segments data type handling into separate plug-ins, where each plug-in is responsible for a specific data type. This allows the GIS to maintain a simple core structure while handling diverse data types through independent, interchangeable components.
Solution Approach 2:
Plug-ins act as intermediary components between external data sources and the geographical information system. They translate and convert data from various formats into the standard internal format of the GIS, eliminating the need to modify the core system for each new data type.
2Adaptability or versatility
If the geographical information system is modified to handle new data types, then data compatibility is improved, but development time and costs increase
Solution Approach 1:
By segmenting data type handling into separate plug-ins, the system enables parallel development and testing of new data type handlers without affecting the core GIS or other data type implementations, significantly reducing overall development time.
Solution Approach 2:
The system uses template-based plug-in creation where new data type handlers can be generated by copying and adapting existing plug-in structures, reducing development effort and time for new data type implementations.
3Adaptability or versatility
If existing plug-ins are modified to handle changed data record structures, then data compatibility is maintained, but system stability decreases
Solution Approach 1:
The system segments data type handling into isolated plug-ins, so that modifications to one plug-in's data record structure handling do not propagate to other parts of the system, maintaining overall stability while allowing individual adaptations.
Solution Approach 2:
The system employs dynamic plug-in loading and unloading mechanisms, allowing data type handlers to be updated or replaced at runtime without restarting the entire GIS, thus maintaining stability while enabling adaptation to changing data formats.
Data Source
AI summary
According to one embodiment of the disclosure, a computing system generally includes a geographical information system that is coupled to a data record interface. The data record interface is operable to receive a data record having a data type that is different from a second data type used by the geographical information system. The data record may then determine the data type of the data record and accordingly invoke a particular plug-in that is operable to convert the first data type to the second data type. The data record interface may then transmit the converted data record to the geographical information system.