A water conservancy scene analysis model and method based on the Internet of Things

Abstract

The invention discloses a water conservancy scene analysis model working method based on the Internet of Things. The water conservancy scene analysis model comprises a water conservancy scene construction module, a water conservancy object coding module, and a water conservancy scene analysis module. The water conservancy scene construction module is used to extract and integrate data center-related information once based on identification of all or a part of objects in a scene according to a specific area and a specific moment, and is used to form a scene mode in a specific time-space dimension. The water conservancy object coding module is used to code every water conservancy object. The water conservancy scene analysis module is used to select the corresponding area and the corresponding moment, is used to fine the objects in the area, and is used to determine the particle sizes of the objects, and is used to query and organize the attributes of all of the objects in a comprehensive way to form water conservancy scene information. The water conservancy scene analysis model working method comprises steps that by determining a specific area of a natural scene, all of the water conservancy objects in the area are searched and coded, and the water conservancy scene is constructed; the attributes of all or a part of the objects in the constructed scene are selected as the characteristics of the scene, and scene deduction, scene similarity analysis, association analysis, scene transformation, and scene reproduction, and other scene analysis are carried out, and finally, a scene state is displayed by scene visualization.

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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