An energy-saving control method and system for air conditioning based on crowd density perception model

Abstract

The invention discloses an air conditioner energy-saving control method and system based on a crowd density perception model, which includes the following steps: Step S1: establishing a crowd density perception model based on deep learning; Step S2: transmitting the video stream data of surveillance cameras in each area to the server; step S3: the server analyzes and processes all the video stream data using the crowd density perception model to obtain the number of people: step S4: the system generates a corresponding control signal according to the number of people; step S5: transmits the control signal back to each corresponding area Air conditioner, adjust the switch, temperature and wind power of the air conditioner in each area in real time, so that the air conditioner in each area can be intelligently adjusted according to the distribution of the crowd, maximize the efficiency of the air conditioner, and greatly reduce energy waste. The invention intelligently adjusts according to the crowd distribution, maximizes the air-conditioning efficiency, and greatly reduces energy waste.

Description

technical field [0001] The invention relates to the technical field of intelligent energy-saving control, in particular to an air-conditioning energy-saving control method and system based on a crowd density perception model. Background technique [0002] With the rapid growth of the world population and the rapid development of urbanization, public events are increasing, such as: sports events, concerts and parades. This has led to an increase in the flow of people in public places, such as shopping malls, sports venues, stations, and the like. And various devices in these places need to consume huge electric energy. In view of the shortage of resources and energy waste in the current world, the necessity of effective energy saving and environmental protection is becoming more and more important. In public places, through the effective real-time perception of crowd density and the control of equipment in the place according to the flow of people, a large amount of electri...

AI Technical Summary

Problems solved by technology

[0003] At present, most air conditioners, especially central air conditioners, switch on and off uniformly, and adjust the temperature and intensity uniformly. In public places, this mechanism may have the following problems: the temperature and intensity of each air conditioner or air outlet are consistent, and can only be adjusted manually by manpower. Inability to fully utilize the efficiency of the air conditioner

This method can automatically adjust the temperature and wind force according to the set target, but it cannot automatically adjust according to the crowd distribution of the scene

The technology disclosed in the patent CN103778442B controls the central air conditioner by detecting the number of people in the video. This technology realizes the adjustment of the air conditioner according to the distribution of the number of people, and the energy saving effect is better. However, the method of counting the number of people in this technology is a traditional foreground extraction method, and the calculation is complicated. The speed and accuracy are not high, and there are many complex environments such as high crowd density, overlapping pedestrians, light changes, scene changes, pedestrian scales, and angle changes in real scenes. Existing methods cannot achieve fast and accurate crowd estimation. Realize the intelligent control of air conditioner

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