A dynamic safety system based on sensor fusion

被引:16
作者
Karlsson, B
Karlsson, N
Wide, P [1 ]
机构
[1] Univ Orebro, Dept Technol, Orebro, Sweden
[2] Linkoping Univ, Dept Phys & Measurement Technol, S-58183 Linkoping, Sweden
[3] Def Res Estab, Foa, Div Sensor Technol, Linkoping, Sweden
关键词
safety system; sensors; sensor data fusion; fuzzy logic;
D O I
10.1023/A:1008922330419
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Machines in industry, including industrial robots, have in many cases dramatically reduced the man-made work and improved the work environment. New machines introduce, however, new risk factors. Traditionally machines are safeguarded by means that more or less rigidly separates the machines from the personnel. This works well in many traditional areas, i.e., where industrial robots are involved. There is however a risk that the safety system limits the valuable flexibility of the robot, which can be considered as a quality that tends to become even more valuable in the progress of programming possibilities and sensor technology. This article shows an example how a safety system can be designed to achieve increased flexibility in co-operation between human and production safety strategy. The proposed safety system is totally based on sensor information that monitors the working area, calculate the safety level and improve the system dynamically, e.g., reduce the robot capability in conjunction to the system safety level. The safety system gain information from the sensors and calculates a risk level which controls the robot speed, i.e., the speed is reduced to achieve a sufficiently low risk level. The sensor data is combined with fuzzy-based sensor fusion and fuzzy rules. The safety system is based on sensor information, hence it automatically adjusts to changes in the guarded area as long as the functionality of the sensors is maintained. Finally, we present a system implementation in an industrial robot application.
引用
收藏
页码:475 / 483
页数:9
相关论文
共 16 条
[1]   Safety and reliability assessment techniques in robotics [J].
Dhillon, BS ;
Fashandi, ARM .
ROBOTICA, 1997, 15 :701-708
[2]  
*EUR STAND, 775 EN CEN
[3]   A FUZZY-LOGIC APPROACH FOR SAFETY AND COLLISION-AVOIDANCE IN ROBOTIC SYSTEMS [J].
GRAHAM, JH .
INTERNATIONAL JOURNAL OF HUMAN FACTORS IN MANUFACTURING, 1995, 5 (04) :447-457
[4]   Fuzzy measures for sensor data fusion in industrial recycling [J].
Karlsson, B .
MEASUREMENT SCIENCE AND TECHNOLOGY, 1998, 9 (06) :907-912
[5]  
KARLSSON B, 1998, P SPIE C INT SYST DE, P303
[6]   A capacitance sensor for safeguarding operators of industrial robots [J].
Karlsson, N .
ROBOTICA, 1999, 17 :33-39
[7]  
KARLSSON N, 1993, P IEEE INSTR MEAS TE
[8]  
KILMER RD, 1985, ROBOT SAFETY, P223
[9]  
KUIVANEN R, 1992, ERGONOMICS OF HYBRID AUTOMATED SYSTEMS III, P475
[10]  
Lasserre V, 1998, IEEE IMTC P, P837, DOI 10.1109/IMTC.1998.676843