智能水环境监测平台的设计与实现
Design and Implementation of Intelligent Water Environment Monitoring Platform
摘要: 水环境污染目前已经成为中国东部沿海发达地区重点关注的问题。河流水环境恶化与水生态丧失已成为严重影响人们正常生产生活的重要因素,不断恶化的水环境也制约了经济的快速健康发展。水体环境越来越复杂,测试的数据也越来越庞大,这也使得传统的直面数据的水质分析方法使用起来越来越费时费力,且效果欠佳。因此使用数据可视化的手段对数据进行建模而后分析的方法越来越受到大家的青睐,已然成为水质分析的重要手段。本文设计的基于Vue和Tornado的水环境监测系统,通过结合GIS与数据可视化技术,创新的采用多维度彩色渲染算法建立水体模型,将复杂数据转化为一些简洁明了的图像变换与颜色变化,通过系统可快速的掌握水体的现实状态,从而更有效的对水体进行治理,不仅大大的提升了工作的效率,也为当前的水环境的治理提供了更为创新的方案。
Abstract: Water environment pollution has become a key concern in the developed coastal areas of eastern China. The deterioration of river water environment and the loss of water ecology have become important factors that seriously affect people’s normal production and life. The deteriorating water environment has also restricted the rapid and healthy development of the economy. The water environment is becoming more and more complex, and the test data is becoming larger and larger. This has also made the traditional water quality analysis method of face-to-face data more and more time-consuming and laborious to use, and the results are not good. Therefore, using data visualization to model the data and then analyze it has become more and more popular, and it has become an important means of water quality analysis. The water environment monitoring system based on Vue and Tornado designed in this paper, through the combination of GIS and data visualization technology, innovatively uses a multi-dimensional color rendering algorithm to build a water body model, and converts complex data into some simple and clear image transformations and color changes. It can quickly grasp the actual state of the water body, so that the water body can be more effectively treated, which not only greatly improves the work efficiency, but also provides more innovative solutions for the current water environment treatment.
文章引用:赵鹏泽, 沈炜, 黄少杰, 任富彬, 王梦珂. 智能水环境监测平台的设计与实现[J]. 软件工程与应用, 2020, 9(1): 72-81. https://doi.org/10.12677/SEA.2020.91009

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