Vehicle-mounted air conditioner intelligent control system and method based on fuzzy instructions and user preferences

Abstract

The invention discloses a vehicle-mounted air conditioner intelligent control method based on fuzzy instructions and user preferences; the method is characterized by comprising the following steps of: querying a current attribute value according to a fuzzy instruction, locating a corresponding row position of a data storage library, marking the position as a main row, and obtaining a weight of jumping to other attribute values or intervals; obtaining the user preferences according to the jump attribute weights of the adjacent rows multiplied by an adjustment factor vm, vm being within the range of [0, 1], and m representing the number of rows away from the main row; according to the weight of jumping to other attribute values or intervals, calculating the probability of jumping to each attribute value or interval, so that drop point judgment is performed through a random number, and the drop point is converted into an accurate instruction; and changing the temperature or the air volume according to the accurate instruction. The method does not need online calculation and does not depend on network connectivity and quality, so that the time delay is short, and the response speed of the fuzzy instruction can be greatly improved.

Description

Technical field[0001]The present invention belongs to the field of in-vehicle air conditioning control, and in particular, the present invention relates to a car air conditioning intelligent control system and method based on fuzzy instructions and user.Background technique[0002]At this stage, the development of the smart cockpit and the network platform is dominated. On the one hand, it highlights the smart technology. On the other hand, let the user liberate your hands, passing instead of touch, safer during driving. At the same time, intelligent technology such as gesture recognition is also transplanted into the vehicle, so that the vehicle control is more diversified. In summary, intelligent is a major trend.[0003]However, existing speech recognition, gesture control, etc., does not completely replace touch control. Decidive commands such as speech recognition, gesture control are not sufficient to convey the accurate instructions to the driver. In terms of car air conditioning...

AI Technical Summary

Problems solved by technology

1. Good network connection requirements: Cloud computing technology requires online networking. After users issue instructions, they need to report to the cloud, and the cloud feedbacks precise control instructions, which inevitably delays, so a good network connection is required; 2. Frequent use of data traffic: cloud computing In-depth learning requires a large number of training sets to record user data. If it is real-time transmission, frequent data interaction is required, or recording, timing or quantitative transmission, which is easily affected by vehicle power-off and data loss; 3. Overall use The degree of cost-effectiveness is low. Using this technology, the final purpose is to confirm the exact instructions. This is not cost-effective in the field of vehicle air-conditioning control as a whole. The control range of vehicle-mounted air-conditioning is extremely limited. It is not cost-effective to use this technology just for this purpose

Images