Automatic Fire Detection System Using Adaptive Fusion Algorithm for Fire Fighting Robot

Multisensor fire detection algorithm (MSFDA) is one of the current important research issues for intelligent building. First, we design a fire fighting robot with extinguish for the intelligent building. The fire fighting robot is constructed using aluminium frame. The contour of the robot is cylinder. The diameter is 40 cm, and height is about 80 cm. There are six systems in the fire fighting robot, including structure, avoidance obstacle and driver system, software development system, fire detection, remote supervise system and others. We design the fire detection system using three flame sensors in the fire fighting robot. The adaptive fusion method is proposed for tire detection of fire fighting robot. We use computer simulation to improve the method to be adequate for fire detection. We design the fire detection system in the fire fighting robot, and program the tire detection and fighting procedure using sensor based method. Finally, we implement the fire detection system using fire fighting robot. If fire accident is true, the robot can find out fire source using the proposed method by fire detection system, and move to fire source to fight the fire using extinguish.

[1]  Xia Rui-li On Intelligent Building , 2008 .

[2]  Lynne E. Parker,et al.  Cooperative multi-robot observation of multiple moving targets , 1997, Proceedings of International Conference on Robotics and Automation.

[3]  M.R. Finley,et al.  Survey of intelligent building concepts , 1991, IEEE Communications Magazine.

[4]  A. Neubauer Genetic algorithms in automatic fire detection technology , 1997 .

[5]  A. Bradshaw The UK Security and Fire Fighting Advanced Robot project , 1991 .

[6]  Li-Chen Fu,et al.  Holonic supervisory control and data acquisition kernel for 21st century intelligent building system , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[7]  Ren C. Luo,et al.  Fire detection and isolation for intelligent building system using adaptive sensory fusion method , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[8]  Heinrich Ruser,et al.  Fire detection with a combined ultrasonic-microwave Doppler sensor , 1998, 1998 IEEE Ultrasonics Symposium. Proceedings (Cat. No. 98CH36102).

[9]  Hobart R. Everett,et al.  An Advanced Telereflexive Tactical Response Robot , 2001, Auton. Robots.

[10]  A. Kujuro,et al.  Systems evolution in intelligent buildings , 1993, IEEE Communications Magazine.

[11]  Hobart R. Everett,et al.  A Supervised Autonomous Security Response Robot , 1999 .

[12]  Xiao Jianmei,et al.  A ship fire alarm system based on fuzzy neural network , 2000, Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393).

[13]  N. Ansari,et al.  Adaptive fusion by reinforcement learning for distributed detection systems , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[14]  A.T.P. So,et al.  Building automation in the 21st century , 1997 .

[15]  Myung Hwangbo,et al.  A stable target-tracking control for unicycle mobile robots , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[16]  Hisato Kobayashi,et al.  Moving object detection by an autonomous guard robot , 1995, Proceedings 4th IEEE International Workshop on Robot and Human Communication.

[17]  R.C. Luo,et al.  The development of a multisensor based intelligent security robot: Chung Cheng #1 , 2005, IEEE International Conference on Mechatronics, 2005. ICM '05..

[18]  M. Azegami,et al.  A systematic approach to intelligent building design , 1993, IEEE Communications Magazine.

[19]  S. Fujie,et al.  Construction aspects of intelligent buildings , 1991, IEEE Communications Magazine.

[20]  B.M. Flax Intelligent buildings , 1991, IEEE Communications Magazine.

[21]  Ren C. Luo,et al.  Intelligent security robot fire detection system using adaptive sensory fusion method , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[22]  S. Yuta,et al.  Some results of the test operation of a security service system with autonomous guard robot , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[23]  Glenn Healey,et al.  A system for real-time fire detection , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[24]  Nirwan Ansari,et al.  Adaptive decision fusion for unequiprobable sources , 1997 .