Download now Free registration required
Particle Swarm Optimization (PSO) is extended to model swarm robots for search on the gas outburst spot in coal mines. The fusion of intermittent cry-for-help, periodic RF wave and continuous gas is employed to guide robots to approach victim. The authors introduce detecting-success binary logic and sensing event into describing the sense process. Based on statistical properties, detecting range, localization type and estimate precision of signals, the decision sensor is determined with information entropy.
- Format: PDF
- Size: 236.8 KB