基于PyEcharts的尾气排放数据可视化监控平台构建及应用分析

Construction and application analysis of visualization monitoring platform for exhaust emission data based on PyEcharts

为实现对高排放车辆尾气的实时监控,研究搭建了一套基于B/S模式的尾气排放数据可视化监控平台,以服务于相关部门的监管和决策。该平台采用基于Python的Django Web三层框架,调用PyEcharts第三方库实现了B/S模式下的数据可视化监控。借助Python的数据处理和分析技术,使数据能够通过PyEcharts组件绘制成图表,然后将数据存储至数据库中。前端则依托常用的Bootstrap框架,使用HTML、CSS和JavaScript技术完成用户的前端交互页面。随着物联网、大数据技术和可视化编程技术的发展,数据可视化监控平台的开发与应用可在数据在线共享、可视化图表分析等方面提供强有力的技术保证。

In order to realize the real-time monitoring of high-emission vehicle exhaust,a set of visualization monitoring platform for exhaust emission data based on the B/S model was researched and built to serve the supervision and decision-making of relevant departments.The platform uses Python’s Django Web three-tier web framework and calls the PyEcharts third-party library to realize data visualization monitoring in B/S mode.With the help of Python’s data processing and analysis technology,the data can be drawn into a chart through the PyEcharts component,and then the data is stored in the database.The front-end relies on the commonly used Bootstrap framework and uses HTML,CSS and JavaScript technologies to complete the user’s front-end interactive page.With the development of the internet of things,big data technology and visual programming technology,the development and application of the data visualization monitoring platform can provide a strong technical guarantee in terms of online data sharing and visual chart analysis.