Internet of Things Enabled Intelligent Energy Management and Control System for Heavy Equipment Industrial Park and Fuzzy Assessment of Its Schemes

In order to solve the problems of poor information flow, low energy utilization rate and consumption data reuse in heavy equipment industrial park, Internet Things (IoT) technology is applied construct intelligent management control system (IEMCS). The application architecture function module planning are analyzed designed. Furthermore, IEMCS scheme not unique due fuzziness customer demand understanding deviation designer design stage. Scheme assessment great significance for normal subsequent implementation system. A fuzzy method alternatives proposed achieve selection. Fuzzy group decision using triangular number express vague experts adopted determine index value. TOPSIS modified by replacing Euclidean distance with contact vector alternative assessment. An experiment eight a park given validation. result shows that can be assessed. Through comparisons other methods, reliability results obtained discussed.