Real-time hydraulic information based dynamic division and control method of city water supply zone

Abstract

The invention discloses a real-time hydraulic information based dynamic division and control method of a city water supply zone, which belongs to the technical field of water conservancy monitoring. The dynamic division and control method comprises the following steps: an SCADA (Supervisory Control And Data Acquisition) system is used for collecting the pressure data of nodes, such as pressure measurement points, water works, pump stations and the like, from a water supply network; then data is preprocessed by a data mining means; then, pressure data samples are subjected to system cluster analysis; according to a cluster result and a block scale, zone scale indexes are clustered; and finally the blocks are combined and divided by a geographical connected graph to form a final division result. Based on data information obtained from pressure measuring points and in consideration of the practical geographical conditions, the dynamic division and control method can be used for reasonably dividing the city water supply zone and controlling the block scale so that the block scale meets the requirement, thereby bringing convenience for management. The dynamic division and control method can be widely applied to managing, monitoring and controlling the large city water supply dispatching system.

Description

Technical field [0001] The invention relates to a method in the technical field of water conservancy monitoring, in particular to a method for dynamically dividing urban water supply areas based on real-time water pressure information. Background technique [0002] With the improvement of industrial production capacity, the scale of urban water supply system is constantly expanding, and the complexity of water supply network is also increasing. But what followed was an increasing number of various pipe burst accidents, and many users had insufficient water pressure. According to the monitoring data of the central urban pipe network, the clustering method is used to divide these measurement points according to their pressure values ​​and pressure change trends to determine the average water pressure zone. For example, the water pressure 160kPa is the critical low pressure area; 160kPa<Water pressure< 180kPa is the low-pressure warning zone; 180kPa<water pressure<300kP...

AI Technical Summary

Problems solved by technology

Second, the number of iterations needs to be set manually, and the clustering results are also sensitive to this

Third, after obtaining the clustering results, the hierarchical nature of the cluster distribution cannot be obtained, sometimes this is not enough

However, in the traditional K-Mean clustering technique, in some cases, the expected clustering results cannot be obtained, that is, clustering results close to human intuition

For example, in this paper, the classification results cannot well satisfy the relevant geographical information

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