Vehicle-mounted air conditioner intelligent adjusting method and system based on Internet of Vehicles and big data

Abstract

The invention discloses a vehicle-mounted air conditioner intelligent adjusting method and system based on the Internet of Vehicles and big data. The method comprises the following steps: 1) obtainingdata collected by all modules of a vehicle body through a vehicle-mounted terminal, wherein the data comprise the longitude, latitude, time, in-vehicle temperature, out-vehicle temperature, air conditioner setting mode, air conditioner setting temperature and air conditioner setting air volume; 2) establishing an intelligent adjustment model of the vehicle-mounted air conditioner, and enabling the vehicle-mounted air conditioner intelligent adjusting model to learn the habit of using the air conditioner of a user through a large amount of data and speculating air conditioner setting parameters expected by the user according to the environment inside and outside the vehicle and weather conditions; 3) obtaining the air conditioner setting parameters expected by the user by taking the collected data as input of the model; and 4) sending the air conditioner setting parameters to a control terminal to complete intelligent air conditioner adjustment. The air conditioner setting most suitable for the user can be predicated according to the data uploaded by the vehicle-mounted terminal of the user in real time to achieve intelligent vehicle-mounted air conditioner adjustment.

Description

technical field [0001] The present invention relates to intelligent network connection technology, in particular to a vehicle-mounted air conditioner intelligent adjustment method and system based on the Internet of Vehicles and big data. Background technique [0002] With the development of information technology and automobile technology, the new "four modernizations" represented by electrification, networking, intelligence, and sharing are rewriting the automobile industry. In the future, intelligent networked vehicles will change the way people travel. [0003] The Internet of Vehicles is an important intersection of the two fields of the Internet of Things and intelligent vehicles in strategic emerging industries. With the help of a new generation of information and communication technology, the Internet of Vehicles realizes all-round network connections in the car, between cars, between cars and roads, between cars and people, and between cars and service platforms, so...

AI Technical Summary

Problems solved by technology

However, the working conditions of automotive air conditioners are relatively harsh, such as sun exposure, rain, snow, cold wind, etc. The external environment has a strong influence on the thermal comfort parameters in the vehicle interior, and changes in the external environment will have a severe impact on the temperature field and velocity field in the vehicle interior. disturbance

Moreover, the space inside the car is small, and the temperature and humidity in the car change rapidly after the air conditioner is turned on. The driver often needs to adjust the air conditioner frequently to find the most satisfactory air conditioner setting in a stable state.

Moreover, comfort is a personal issue. People’s definition of comfort is relatively complicated and vague. At the same time, the control logic of the internal system of the automotive air conditioner is also very complicated. Therefore, it is necessary to establish an accurate mathematical model or a very accurate control model for the automotive air conditioner. very difficult

Analyze the shortcomings of the current car air conditioner: (1) Frequent operation of the air conditioner will affect the driver's attention and driving safety, and the intelligence needs to be improved; (2) Adjusting the air conditioner proves that the driver is not satisfied with the current car environment, and the comfort experience needs to be improved ; (3) There may be an overshoot stage in the adjustment process, which will cause unnecessary energy consumption

At present, by studying the status quo of vehicle air-conditioning control systems, it is rare to find an intelligent air-conditioning control system that does not require human intervention and adjustment at all. The most advanced vehicle-mounted air-conditioning systems only stay in the state of adjustment based on user settings, and do not have the function of learning user habits.

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