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Distributed reliability estimation method for urban river water level

A distributed and reliable technology, applied in engine lubrication, service based on specific environment, network topology, etc.

Active Publication Date: 2019-05-31
HANGZHOU DIANZI UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The present invention provides a distributed reliability estimation method for urban river water levels based on sensor networks, aiming at the fact that the current urban river water level monitoring system in my country cannot provide timely and accurate early warning and prevention.

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  • Distributed reliability estimation method for urban river water level
  • Distributed reliability estimation method for urban river water level
  • Distributed reliability estimation method for urban river water level

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Embodiment Construction

[0106] Such as figure 1 As shown, each sensor of the present invention obtains measurement information directly from the urban river channel, and also obtains measurement information from adjacent sensors at the same time. After the sensors acquire the information, they pass the information to their respective estimators.

[0107] The concrete steps of the inventive method are:

[0108] 1. Establish the topology structure of urban river water level monitoring system based on sensor network.

[0109] In the present invention, N sensors are arranged in urban rivers where the water level needs to be monitored. The number N of sensors can be selected according to actual needs, and the water level, water velocity and water flow of the urban rivers are measured respectively. According to the positions of the N sensors and the communication links between them, a sensor network with N nodes is formed, and it is represented by a directed graph G=(N,E,C), where N={1, 2,...,N} represe...

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Abstract

The invention discloses a distributed reliability estimation method for urban river water level. At present, it is difficult for a domestic urban river water level monitoring system to directly measure water status information such as a water level, a water pressure and a flow rate in river channel, the domestic urban river water level monitoring system is influenced by the random change of parameters of an estimator to bring great difficulty for the reliability estimation of the urban river water level, and an efficient reliability estimation method is lack at present. Based on a wireless sensor network, a convex optimization method is employed to easily design a distributed state estimator through the linear matrix inequality. The difficulty of reliability estimation of the urban drainage system preventing waterlogging is solved, and the safety and the accuracy requirements of the actual reliability estimation are met, and therefore, the distributed reliability estimation method forthe urban river water level facilitates safe and reliable monitoring of the urban river water level system.

Description

technical field [0001] The invention belongs to the technical field of automatic control, and relates to a state estimation of urban river water levels by using a sensor network, and a corresponding distributed reliability state estimator is designed, which can be used in the modern urban drainage industry. Background technique [0002] The change of urban river water level is mainly caused by the increase and decrease of water volume. It is the most intuitive factor to reflect the water regime of urban water body. Therefore, the real-time estimation and monitoring of river water level has become the guarantee of safe production and life in modern cities. [0003] With the rapid development of urbanization, the rapid increase of urban population, the urban industrial and domestic drainage surge, the monitoring of urban river water level has become more and more important. Every summer, due to heavy rainfall or continuous rainfall, the water level of rivers in many cities in ...

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Application Information

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IPC IPC(8): G01F23/00H04W4/38H04W84/18
Inventor 陈云陈聪薛安克王建中
Owner HANGZHOU DIANZI UNIV