Using GIS to research on valve management
Valve management plays a crucial role in water distribution system operations. The ability to open and close valves is essential for isolating sections of the network during maintenance or emergencies, directly affecting service to end users. However, traditional manual methods face significant challenges, such as locating valves accurately, determining their operational status, identifying which valves need to be closed during a failure, and assessing the impact on customers. These issues are difficult to address with conventional approaches, making the integration of computerized systems a necessity.
Computer-based valve management offers a more efficient solution. One common method involves creating a valve database and an MIS (Management Information System). This approach uses standard database tools like FoxPro or Oracle, which are simple to implement but lack graphical interfaces and advanced analytical capabilities. In contrast, a GIS (Geographic Information System) allows for the integration of spatial and attribute data, enabling users to perform bidirectional queries—searching from maps to data and vice versa. This makes it easier to locate valves, view their details, and understand their impact on the network.
In Shenzhen, the Water Supply Company implemented a GIS-based valve management system. It includes over 8,000 pipelines, 3,000 major users, and detailed valve information. The system was developed through several key steps: first, collecting original data by digitizing 1:10,000 scale maps and marking all valves with unique identification cards. Next, building a database for valves, users, and pipelines using FoxPro format, ensuring ease of querying and statistical analysis.
The next step involved preparing accurate map graphics and establishing proper network topology using AUTOMAP software. This ensured that each node, pipeline, and valve was correctly connected. Then, the system linked the graphical elements with the underlying databases, allowing users to query valve numbers, pipe segments, and user data efficiently.
Finally, a burst-tube valve closure analysis program was developed using AUTOLISP, an embedded language in AUTOMAP. This module enables users to input a failure point, and the system automatically identifies affected valves, pipes, and users. It provides visual feedback, highlights critical components, and generates reports for further action. The system also supports continuous valve closure analysis, data retrieval, and graphic printing, while maintaining the ability to reset and recalculate strategies as needed.
This comprehensive approach enhances operational efficiency, reduces downtime, and improves customer service by providing accurate, real-time information during emergencies.
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