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Research And Design Of Intelligent Greenhouse Remote Monitoring Platform Based On WebGL

Posted on:2020-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:Y R ShanFull Text:PDF
GTID:2393330596978677Subject:Computer technology
Abstract/Summary:
Facility agriculture is a method of agricultural cultivation that is vigorously promoted by European countries.These countries have gradually formed a modern agricultural industrial park of a certain scale.In recent years,China’s facility agriculture has developed rapidly and has gradually become a dominant industry.Its development model is extensive production.Therefore,China is a big country in facilities agriculture,but it is not a strong country in facilities agriculture.Greenhouse cultivation is a major form of facility agriculture.In the traditional greenhouse agricultural planting process,human activities are confined to the site of the planting area.As the size of the greenhouse expands,the problem of labor depletion and increased production costs is increasing.The project was commissioned by the local government and related enterprises in the Wuling Mountain area.Internet of Things technology is applied in greenhouse cultivation.Combining information technology and 3D visualization technology,create a intelligent greenhouse platform with mechanized production and high labor efficiency.The platform has increased local agricultural productivity and addressed pressing issues in local greenhouse cultivation.It has more practical significance and role for local agricultural development.Based on existing greenhouse agricultural research data and feedback information.Combine traditional single information systems with control systems.Display information through 3D visualization.With the goal of remote monitoring,the research and design of the greenhouse remote monitoring platform is carried out combing WebGL three-dimensional visualization.The main research work is as follows:(1)Pre-processing greenhouse three-dimensional visualization data.First,establish a three-dimensional model of the greenhouse and related data according to different categories.Perform an experimental quantitative analysis of the time-consuming rendering of the original files in the model during page loading.The traditional model mesh compression algorithm is improved by combining different interests of users.A mesh compression algorithm based on user interest is formed.Design simulation experiments after the simplified rough mesh model is obtained.The experimental results show that the algorithm has a good effect on the model preprocessing.(2)Design an optimized rendering model based on WebGL.Based on the research of the browser rendering mode,the rough grid model data is quantitatively compared in the page loading rendering time.Then analyze the main problems of the traditional WebGL rendering mode.In the process of rendering the full scene 3D model,the buffer consumes more,and is optimized by the direct canvas mode.For the performance mode test two indicators,design experiments and verify the advantages of the optimized rendering mode in the frame rate and memory footprint,improve the performance of WebGL loading rendering.(3)Based on the above theoretical research,after solving the three-dimensional visualization data preprocessing and optimizing the WebGL rendering model two key issues.Apply its key technologies to the project platform.Realize interactive roaming of greenhouse landscape.Complete platform functions such as greenhouse data collection,video monitoring,greenhouse facility control,and video device control.In the platform testing phase,platform performance is evaluated through performance testing.Verify the effectiveness and comprehensiveness of the platform through platform user experience research.The platform has been well received by the local government and related enterprises in the Wuling Mountain area.
Keywords/Search Tags:intelligent greenhouse, WebGL, remote control, grid compression, rendering mode
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