Abstract
Malaysia is a developing country and currently experiences a new emerging safety issue, which considered as critical. Country likes Malaysia is in aggressive mission to develop its country by year 2020. In the effort to achieve developed country, it requires development in each industry. There will be more works should be done by workers in the same duration compares to the last few years. With lots of tasks, people get stress out and this will lead to mistakes. Unsafe action sometimes cause accidents, worst may cause death. Especially hazardous works such as professional that need to work in manhole, low oxygen level confined space, underwater and fire fighter. This people need to be monitored during their operation to ensure their safety, thus the operation can complete successfully. In this study, we focus on the personal monitoring for fire fighter during their rescue operation. An agent based monitoring system using type-1 fuzzy logic is simulated to see the effect on personal's parameters, such as breathing rate, breathing air level and body motion. A case study has been done to get the real fuzzy data which gathered by sensors to be tested using Mamdani type-1 fuzzy method. The result produced a reliable crisp output which then processed by the system to alerts the fire fighter any predicted accident that might happen. Intelligent agent adopted in this engine helps monitoring system act autonomously and process a reliable decision. This engine generate precise and reliable output from fuzzy input as we deal with human lives. As the result, injuries or fatality during works can be reduced.
Highlights
Personal safety is very important for individual whose work is classified as dangerous
Prometheus supports the internal design of intelligent agent and that makes it suitable for this research where type-2 fuzzy algorithm embedded in the intelligent system
We design an architecture of intelligent agent embed with type-1 fuzzy algorithm to handle monitoring problem and calculate the forecast acceptable solutions for the incidents that might happen during the hazardous operation
Summary
Personal safety is very important for individual whose work is classified as dangerous. The example of hazardous works, such as being a fire fighter who needs to rescue victims in fire, sewerage professional who need to fix problem in manhole, engineers checks the underground electric generation plant, SCUBA rescuer. These professional, when enter their work place, they need to wear an apparatus called SelfContain Breathing Apparatus (SCBA) or Self-Contain Underwater Breathing Apparatus (SCUBA). Artificial intelligent has offers several method to solve those complex engineering system, such as, expert system, genetic algorithm, neural network and software agent. In this research we combine two main methods in order to solve this issue; they are intelligent agent and type-2 fuzzy logic. The agent technology has developed and we choose the intelligent agent to be built together with type-2 fuzzy algorithm
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