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Visual Design of Landscape Architecture Based on High-Density Three-Dimensional Internet of Things

机译:基于高密度三维互联网的景观架构的视觉设计

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Since different equipment manufacturers may define a set of data transmission protocols of their own types, the high-density three-dimensional Internet of Things landscape garden landscape platform needs to provide a unified data transmission interface for the business system. It needs to complete the analysis, storage, and reformatting of different data transmission protocols on the high-density three-dimensional Internet of Things landscape service platform. In this paper, based on the conversion analysis between the MLD model of the landscape perception layer of the high-density three-dimensional Internet of Things landscape and the automata scheduling model, the conversion of the MLD model of the entire landscape perception layer of the high-density three-dimensional IoT landscape and the automata scheduling model is realized. Based on the hierarchical automata high-density three-dimensional Internet of Things landscape, this paper studies the global task scheduling and control automata model and the local scheduling automata model in the task, as well as the landscape perception layer rapid scheduling mechanism of independent scheduling strategy. This can be used for different levels of systems to ensure that the perception layer system is orderly, reliable, and fast. They complete the construction of jdk environment, web server, Mongo DB server, MQTT server, JMS server, etc., on the cloud platform. Combined with the landscape, a set of test platforms was built to test the functions and performance indicators of the visualization system cloud platform. The test results show that the cloud platform can realize cross-platform terminal access, end-to-end instant messaging, heterogeneous data processing and storage, etc. It has strong scalability and high processing performance and has application and reference value.
机译:由于不同的设备制造商可以定义自己类型的一组数据传输协议,因此高密度三维内容园林景观平台需要为业务系统提供统一的数据传输接口。它需要完成对景观服务平台的高密度三维互联网上不同数据传输协议的分析,存储和重新格式化。本文基于景观知识层的MLD模型的转换分析,高密度立体互联网景观和自动化调度模型,整个景观感知层的MLD模型的转换实现了高密度三维物联网景观和自动化调度模型。基于分层自动机高密度三维内容景观,本文研究了全局任务调度和控制自动机模型以及任务中的本地调度自动机模型,以及独立调度的景观感知层快速调度机制战略。这可用于不同级别的系统,以确保感知层系统有序,可靠,快速。它们完成云平台上的JDK环境,Web服务器,Mongo DB服务器,MQTT服务器,JMS服务器等的构建。结合景观,建立了一组测试平台,以测试可视化系统云平台的功能和性能指标。测试结果表明,云平台可以实现跨平台终端访问,端到端即时消息,异构数据处理和存储等。它具有强大的可扩展性和高处理性能,具有应用和参考值。

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