基于分类树的长距离引水工程多源数据管理系统设计

针对目前长距离引水工程在运行管理过程中存在的监测和检测数据异构、数据种类繁多、管理不规范、效率低下等问题,通过对多源数据种类及获取方式进行分析,构建了基于分类树的数据管理体系,并结合数据库技术,对数据库表结构进行设计,实现对多源数据的优化分类管理。基于此设计了基于B/S架构的长距离引水工程运行期多源数据管理系统,该系统严格按照数据管理体系进行设计,层次明确、结构严谨,方便了系统用户对数据进行统一、高效的管理,为引水工程运行期多源数据管理提供了一种新的解决方法。目前该系统已在某引水工程中投入使用,运行效果良好。

Design of multi-source data management system for long-distance water diversion projects based on classification tree

Aiming at the problems existing in the operation and management of long-distance water diversion projects, such as heterogeneous data of monitoring and testing, various types of data, nonstandard management and low efficiency, a data management system based on classification tree was constructed by analyzing the types and acquisition methods of multi-source data. Combined with database technology, the database table structure of the management system was constructed, in order to optimize the classification management of multi-source data. Based on this, a multi-source data management system for long-distance water diversion projects in operation period was established based on B/S (browser/server) architecture. This system was designed in strict accordance with the data management system with clear hierarchy and strict structure, which facilitates the unified and efficient management of data by system users, and provides a new solution for multi-source data management during the operation period of water diversion projects. At present, the system has been put into use in a water diversion project with satisfactory operation effect.