Basin rainfall monitoring wireless sensor network node optimization layout method

Abstract

The invention relates to a basin rainfall monitoring wireless sensor network node optimization layout method comprising the steps of correlation calculation; regression analysis; redundant site removing; additional arrangement of sites; additionally arranged site layout optimization calculation; and similarity calculation so that the optimal scheme of site layout can be obtained. The conventional site extraction method is improved, site network analysis is performed on existing rainfall site points based on the improved site extraction method, the redundant sites are removed, based on which the limitation of the road network on the feasibility of the site layout is directly considered, an optional area for additional arrangement of the sites is determined, the sites are additionally arranged in the optional area, a site layout optimization model is established with regression Kriging variance acting as a target function by comprehensively utilizing the correlation between the target variable rainfall and latitude and longitude, elevation, gradient, slope direction and other environmental variables, and the optimized layout of the rainfall monitoring sites is realized by solving the site layout optimization model in a high-performance way based on a parallel designed simulated annealing algorithm.

Description

Technical field [0001] The invention relates to a method for optimizing the layout of wireless sensor network nodes for water cycle monitoring in a river basin, and is a method for reasonably arranging precipitation monitoring stations. Background technique [0002] Precipitation is an important driving factor of the water cycle in the basin, and its accurate monitoring has important practical value for flood control and disaster reduction, water resources management, and hydrological forecasting and dispatching. At present, precipitation mainly depends on traditional ground monitoring and satellite remote sensing such as weather stations, precipitation monitoring stations, hydrological stations, etc. In traditional station network monitoring, the cost of station construction and maintenance is high, and it is difficult to establish a high-density precipitation monitoring station network, especially in mountain and valley areas. It is difficult to deploy stations. It is very diff...

AI Technical Summary

Problems solved by technology

Due to the unbalanced regional development and the unreasonable planning of the early precipitation monitoring station network, some regional precipitation monitoring station networks are difficult to capture the distribution of regional precipitation and there are redundant stations. It is necessary to optimize the layout of precipitation monitoring stations

At present, the traditional pumping method is often used in the optimal layout of the precipitation monitoring station network to analyze the density of the station network for station optimization, and there are the following shortcomings in the application: (1) The average value of the precipitation data obtained by the traditional pumping method is used as the approximate true value of the precipitation in the area , using this as a standard to calculate the relative error of the combined station precipitation mean value relative to the approximate true value, simplify the existing dense precipitation monitoring station network within the allowable error range, and eliminate redundant stations. This method only considers the size of precipitation and ignores (2) On the basis of streamlining the existing stations, how to select effective methods and consider reasonable constraints to optimize the layout and add precipitation monitoring stations according to the precipitation characteristics of alpine and hilly areas, has become a digital Key points and difficulties in research on watershed information acquisition; (3) Although heuristic algorithms such as simulated annealing algorithm and genetic algorithm can improve the efficiency of site layout optimization, they take a long time and the calculation efficiency needs to be further improved

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