As buildings become taller and more complex, establishing clear evacuation routes becomes very important in the event of a fire or other emergency. In this paper, Wireless Sensor Networks (WSN), Radio Frequency Identification (RFID) and real time escape route guidance are integrated to accomplish a real-time fire evacuation system to guide along an evacuation route. When the emergency event occurs, the system provides evacuation route guidance to people for them to be able to avoid danger. Moreover, in the proposed system, an intelligent evacuation route is provided by indicating in digital signage the best evacuation route as well as pertinent information to improve the chances of survival for users. The proposed system also supplies real time environmental information to fire fighters assuring better efficiency in their rescue operations.

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This paper is to discuss how Python can be used in designing a cluster parallel computation environment in numerical solution of some block predictor-corrector method for ordinary differential equations. In the parallel process, MPI-2(message passing interface) is used as a standard of MPICH2 to communicate between CPUs. The operation of data receiving and sending are operated and controlled by mpi4py which is based on Python. Implementation of a block predictor-corrector numerical method with one and two CPUs respectively is used to test the performance of some initial value problem. Minor speed up is obtained due to small size problems and few CPUs used in the scheme, though the establishment of this scheme by Python is valuable due to very few research has been carried in this kind of parallel structure under Python.