Automatic heating and ventilation system

Abstract

The invention discloses an automatic heating and ventilation system. The system involves a sensor group, a sensor working condition access module, a data fusion module, a data feature extraction module, an indoor environment analysis module and a scheduling decision-making module, wherein the sensor group is adhered to an indoor wall through pressure-sensitive adhesive; the data fusion module is used for carrying out data fusion on a cluster head of a controller by adopting a fuzzy nearness degree algorithm; the data feature extraction module is sued for extracting feature data by adopting a MapReduce; the indoor environment analysis module is used for evaluating the current indoor environment condition based on the feature data by a support vector machine with a network format searching method; the scheduling decision module is used for collecting current weather parameters on a weather forecast base station through a network crawler module, and then adopting a PCA-BP neural network model to realize scheduling decision-making of the current heating and ventilation system based on the analysis result of the weather parameters and the indoor environment analysis module. According tothe system, the indoor environment parameters and personnel conditions can be automatically detected, so that the operation power of an air conditioner can be adjusted based on the PCA / BP neural network according to different conditions, and the automation degree is high.

Description

technical field [0001] The invention relates to the technical field of HVAC control, in particular to an automatic HVAC system. Background technique [0002] HVAC is the system or related equipment responsible for heating, ventilation and air conditioning in buildings or vehicles. The HVAC system can adjust and control the temperature, humidity, cleanliness, speed, pressure and other parameters of the air to improve the comfort in the target space, especially an important part in medium and large industrial buildings or office buildings (such as skyscrapers); In addition, in fields and industries such as pharmaceuticals, electronics, and oil and gas, the role of HVAC is also very important. [0003] In the current building automation system of intelligent buildings, HVAC is a key component; generally speaking, the HVAC system in the building can be switched manually or based on a preset time interval; compare Typical situations include the situation in office buildings and...

AI Technical Summary

Problems solved by technology

This is not "intelligently" adjusted according to the effective use of the target space in the building automation system, which cannot meet the needs of system optimization and energy saving

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