Indoor environment comfort level intelligent adjusting system based on edge computing

Abstract

The invention discloses an indoor environment comfort level intelligent adjusting system based on edge computing. The indoor environment comfort level intelligent adjusting system comprises an environment data acquisition module, an edge equipment module, an environment adjustment execution module, a cloud platform management module and a mobile terminal module, and intelligent adjustment of the indoor environment comfort level can be achieved so that the optimal comfort level of a human body can be achieved. The indoor environment air quality is automatically improved, the indoor air pollutant concentration is reduced, the indoor environment comfort level is improved, the problems that in the prior art, the intelligent degree is low and the function is simplex in the indoor environment adjusting process are solved, and meanwhile energy consumption of the intelligent adjusting system is reduced. In addition, the computing task is processed through local edge computing, the delay of a computing system is reduced, the data transmission bandwidth is reduced, the pressure of a cloud computing center is relieved, and the data security and privacy of the system are improved.

Description

technical field [0001] The invention relates to the technical field of intelligent adjustment of indoor environment comfort, in particular to an intelligent adjustment system of indoor environment comfort based on edge computing. Background technique [0002] With the development of the economy and the progress of society, people in today's society spend more than 80% of their time working and living indoors, and the quality of the indoor environment directly affects people's work efficiency and health. [0003] During the research and practice of the prior art, the inventors of the present invention found that the current indoor environment adjustment mainly depends on the air conditioning system for adjustment, and the adjustment method only adjusts the indoor temperature parameters, while other indoor parameters, such as humidity and air The cleanliness cannot be adjusted. At the same time, after the air conditioner is turned on, the operating parameters cannot be automat...

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Problems solved by technology

[0003] During the research and practice of the prior art, the inventors of the present invention found that the current indoor environment adjustment mainly depends on the air conditioning system for adjustment, and the adjustment method only adjusts the indoor temperature parameters, while other indoor parameters, such as humidity and air The cleanliness cannot be adjusted. At the same time, after the air conditioner is turned on, the operating parameters cannot be automatically adjusted according to the indoor and outdoor environmental conditions, and the energy consumption is high.

On the other hand, in the traditional cloud computing model, computing tasks are all uploaded to the cloud center for processing, resulting in the defects of high pressure on cloud computing and low data security, and cloud computing also requires high data transmission bandwidth. , requires high data transmission costs, and the delay of the computing system is large, which reduces the availability of the cloud computing model

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