Visual Detection Of Construction Equipment Emission

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Visual Detection Of Construction Equipment Emission Yi Liu Abstract Construction industry has great impact in the environment, especially in the pollutant gas emission. Measuring the emission is a vital part for us to take actions in order to enhance the compliance with environmental regulations and achieve the environmental goals. Most of the previous researches only focus on the operation phase of emission instead of the construction phase. But the fact is that more than 50% of the emissions come from the construction site equipment. In this paper, a new method has been presented to help solve the problem by visual monitoring the equipment activity and calculating the total emission based on the emission factor. In order to realize…show more content…
The fact that more than 50% emissions have been generated from the construction equipment that has been neglected. In order to calculate the total emission of the construction phase, equipment classification will be very helpful. However, the traditional method of classifying the action is time consuming[1] and is prone to the human error. In order to improve the productivity and enhance the accuracy of this practice, a new method in visual monitoring of equipment activity can be adopted. After that, the total emission can be the multiplier of the emission factor and activity duration. In this paper, the first section will be the overview of the industry and related previous work. Next, the possible solution will be presented including the feature localization and recognition. It is also accompanied with the experiment test of the algorithm. After that, the emission factor of different equipment activity will be gathered and presented. The potential benefits and limitation of the method will be discussed afterwards. Conclusion and future development will be in the last section. 2. Background and related work 2.1 Equipment recognition and tracking Many construction companies are still using the tradition ways, including the crew balance chart, the five minutes rating and etc., to observe the site productivity[12]. Although these methods are beneficial to improve the performance, the large amount manual data collection is time-consuming[1] and
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