Research Of Intelligent Elevator Group Control System Based On Multi-objective Planning Algorithm

With the prevalence of modern intelligent buildings, elevator has become more and more important as the main conveyance between floors. The people's demands to the elevator system' functions are also more and more high. The increasing of the number of elevators merely not only couldn't meet the multi- target need, but also causes serious problems of the environmental pollution, the energy cost and the low operating efficiency.In order to improve the elevator's operating efficiency and service quality, this paper designs an elevator group control system based on the multi-objective planning intelligent dispatching algorithm. The main contents of the research are as follows:1. The elevator traffic determines the dispatching strategy of the elevator group control system. This paper analyses the characters of elevator traffic system firstly, put forward to identify the real-time traffic pattern by the fuzzy logic, which lays the foundation for Realization of the multi-objective planning intelligent dispatching algorithm.2. After systematically studying and researching the characters of elevator group control system, group control dispatching algorithm and multi-objective planning, this paper proposes a new mathematic model for elevator group control algorithm based on multi-objective planning, and establishes an multi-objective evaluate function, considering the average waiting time, average riding time, the crowded degree of the car and the power consumption of the system. A multi-objective planning algorithm is designed which can be applied different traffic patterns.3. Considering the advantages and disadvantages of RS485 bus, an elevator group control net based on Ethernet and CAN bus technology is constructed and its corresponding hardware is designed. Besides, Modular programming designing idea and C program language are adopted in the process of system software designing, and the software is debugged.4. The least waiting time and multi-objective planning algorithm are embedded in the simulating software and environment which are programmed with Visual Basic. The simulating result proves the superiority of multi-objective planning algorithm. The last, the testing platform is built, on which the group control system's dispatch experiments are carried on.