基于机器视觉的在用柴油车烟度测量方法

Measuring Method for Smoke Emission of In-use Diesel Vehicles Based on Machine Vision

摘要:

使用柴油发动机为动力的车辆，以其优良的动力、经济耐用等优点，在生产与运输中得到广泛的应用。然而柴油车带来的环境污染问题一直被社会各界诟病，特别是一些排放黑烟却仍然上路的柴油车，对环境的污染十分严重。传统的在用柴油车烟度测量采用测量人员现场目测的方法，不仅测量结果会受检测人员自身的状态影响而不准确，而且测量人员身心健康也会受到严重的损害。一种基于机器视觉的在用柴油车烟度测量方法，包括硬件测量平台的搭建，使用OpenCV作为图像处理算法基础，进行VC++应用程序的开发，经过实验的验证，短时间即可测量出在用柴油车的烟度级别，具有操作便捷、测量快速、结果准确等特点。

Abstract:

Vehicles powered by diesel engine are widely used in production and transportation because of the excellent power, economy and durability. The environmental pollution caused by diesel cars has been criticized by all sectors of society. The traditional measurement of smoke emission in in-use diesel vehicles by the on-site visual measurement of surveyors is not only affected by surveyors' own state, which leads to inaccurate, but bad for seriously surveyors' physical and mental health. A method of measuring the degree of smoke emission in diesel cars based on machine vision will be proposed. By building hardware measurement platform, using OpenCV as image processing algorithms, and developing VC++ application, the smoke level of diesel cars can be measured in a short time after the experimental verification. It has the characteristics of convenient operation, fast measurement and accurate results.