Model and method for water conservancy scene analysis based on internet of things

Abstract

The invention discloses a model and method for water conservancy scene analysis based on the internet of things. According to the model, relevant information of a data center is extracted and integrated at a time by a water conservancy scene construction module according to an assigned region, assigned time and identification based on all or part of objects in a scene, so that a scene mode under a specific time-space dimension is formed; each water conservancy object is coded by a water conservancy object coding module; a water conservancy scene analysis module selects the corresponding region and time, searches the region for the corresponding object, determines the granularity of each object and comprehensively inquires and organizes attributes of all the objects, so that water conservancy scene information is obtained. According to the method, a specific region in a natural scene is determined, all the water conservancy objects in the region are searched for and coded, and therefore the water conservancy scene is constructed; the attributes of certain or all the objects in the constructed scene are selected to serve as the characteristics of the scene, scene analysis such as scene deduction, scene similarity analysis, scene correlation analysis, scene change and scene reappearance are conducted on the scene, and finally the scene state is displayed in a scene visualized mode.

Description

technical field [0001] The invention relates to a water conservancy scene analysis model based on the Internet of Things and an implementation method thereof for a water conservancy data center. The invention relies on the resources of the water conservancy data center to construct a new application mode combining causal analysis and correlation analysis. The invention belongs to the field of computer technology applications, in particular to the application of water conservancy internet of things. Background technique [0002] With the rapid development of information collection technology and network, especially the "extensive perception" brought by high-resolution air-space remote sensing and the Internet of Things, water conservancy information is constantly enriched both in quantity and type. The era of water conservancy big data is becoming arrival. The construction of smart water conservancy also puts forward higher requirements for the analysis and application of w...

AI Technical Summary

Problems solved by technology

[0003] Traditional water conservancy data analysis is mainly aimed at a specific water conservancy object. The mining analysis based on structured data, such as hydrological time series similarity search, flood peak magnitude prediction, etc., does not combine the comprehensive analysis of all surrounding water conservancy objects, that is, the analysis of water conservancy scenes. The comprehensive analysis and processing of unstructured data such as video and images are not considered, which makes the elements of water conservancy object analysis and processing insufficient, and the prediction accuracy is not high, which affects the choice of high-level water conservancy decision-making

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