Study of Dust Sampler System Based on Single Neuron PID

The sampling flow will be decreased by the weakness of filterable membrane permeability after the dust sampler working for period of time. It seriously affects the measurement accuracy, so keeping the dust sampler working under the constant gas flow is important. Gas flow can be adjusted accurately in time to ensure constant flow based on single neuron adaptive PLC algorithm and PWM technique. Apply ZigBee wireless communication technology on indoor positioning and remote monitoring.