Analytical Study of Piezoelectric Power Generation and Security Using Soft Computing Based Fuzzy Logic Algorithm

Ever since the time electricity was used for day to today purposes mankind has searched for more efficient and possibly everlasting sources of energy. This search has yielded the vast field of renewable energy as a viable solution. Among the newly explored field of renewable energy there exist an option whose potential has not yet been fully tapped, namely piezo electric generation. In times when supply of energy is unavailable or in cases of sudden blackouts, in addition to day to day use of energy, the security of a consumer is also affected. Even the most efficient inverters or batteries will run out after a certain amount of time. This brings about a need to de velop a smart and efficient security system that determines threat and operates only when needed. The development of such intelligent systems is now possible due to the concept of soft computing which involves fuzzy logic, artificial neural networks and concepts of machine learning.