Unmanned Ground Vehicle for Detection of Permissible Exposure to Crude Oil Fume

Crude oil is extremely flammable & can cause eye, skin, gastrointestinal, and respiratory irritation. Breathing the fumes from crude oil are known to cause chemical pneumonia, irritation of the nose, throat, & lungs, etc.. In the shipyard, workers are exposed to the fumes of crude oil while doing maintenance on ships. Their safety & health can be at risk while doing their job. This research aims to develop a device that will detect & assess specific types of gases in order to determine the permissible and impermissible time of work for employees' safety precaution. Unmanned ground vehicle is the machine that operates while in contact with the ground and without an on-board human presence. By gathering the data from the sensors who has a specific sensitivity on the substances in crude oil fumes, the data will then convert to a gas concentration in a unit of ppm where distinct values can be analyzed. Using data sets and Gradient Boost Algorithm, the system can train data based on the output of the acquired signal which eventually will be more accurate in determining the permissible exposure limit of a worker to the crude oil fume. Results shows Gradient Boost Algorithm has an average accuracy of 93.75% with a failure rate of 0.0823. The time response of the design is 2.98 seconds. It is recommended that the device used for getting the input gas sensor should be accurate to the gas decomposition of the oil / petroleum you are trying to test.