A Distributed Sparse Optimal Detection Method for Water Regime Information

Abstract

The invention discloses a distributed sparse optimization detection method of water regime information, which combines sparse optimization with distributed water regime information monitoring, and on the basis of providing a theoretical framework for distributed water regime information sparse optimization, on the one hand proposes a water The distributed sparse optimization detection method of situational information expands the new application of sparse optimization in distributed networks; on the other hand, based on the distributed block coordinate descent method, a joint sparse signal reconstruction method is given. Simulation experiments show that the proposed method can quickly converge to an approximate optimal solution, and it is robust to calculation errors caused by inaccurate averaging and uncertain factors in the network.

Description

technical field [0001] The invention relates to a distributed sparse optimization detection method of water regime information, which belongs to the technical field of water regime information monitoring. Background technique [0002] Water regime information monitoring is the measurement, analysis and evaluation of surface water, groundwater, atmospheric precipitation, water body sediment, organisms, water pollution, etc., including the monitoring of water level, flow, water temperature, precipitation, ice, evaporation, pollution sources and pollutants content. At present, water regime monitoring has developed into an important technical support for natural water disaster forecasting, pollution control and governance, and water environment planning and management. [0003] In recent years, my country has invested a lot of money to establish infrastructures such as various monitoring points, monitoring stations and monitoring networks, forming a monitoring system with measu...

AI Technical Summary

Problems solved by technology

[0004] (1) It is difficult to accurately and comprehensively detect, express and restore regionally distributed water regime information

[0005] (2) It is difficult to efficiently utilize limited transmission spectrum resources

[0006] On the one hand, these two problems indicate the complexity of water regime information acquisition, and on the other hand, they also reflect that there are still large gaps in the accuracy, coverage, real-time performance, and continuity of existing water regime monitoring technologies. Adopt new technologies and methods to improve and improve the overall performance of the existing water regime monitoring system

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