Abstract:In nuclear power plant construction，the prolonged operation of dust suppression cannons leads to the wastage of water and electricity resources. Leveraging an integrated Internet of Things （IoT） gateway，a dust prediction and control algorithm is designed through the collection and integration of information from multiple sources. This algorithm quantitatively studies dust generation and dust reduction measures based on the construction site and environmental conditions， establishing a dust prediction model. The model predicts dust dispersion and，based on the forecast results，controls the duration of operation for the dust suppression cannons to achieve the goals of early dust reduction and energy conservation. Comparative experiments conducted at the nuclear power site demonstrates that，under unchanged dust reduction effectiveness，the algorithm achieved an about 60% reduction in water and electricity consumption.