Method for making decisions in server and method for obtaining decisions in device

Abstract

Current decision makings are locally performed on a user device. This invention provides a method for making decisions in a server and method for obtaining decisions in a device. The device obtains sensor signals using an equipped sensor and transmits the sensor signals to a remote server through the Internet of Thing; and the remote server obtains decisions through a separated or an integrated expert system, wherein the decision is based on the sensor signals and existing regulations, and returns the decision to the device through the Internet of Thing. In the invention, the remote server can serve a plurality of users in order to make the user device support the expert system without powerful functions. Furthermore, upgrading the decision making on the remote server is far more convenient and economical than upgrading each user device. Besides, the architecture of the Internet of Thing is very light, which is beneficial for the device to quickly access the remote server and obtain the decision in real time.

Description

technical field [0001] The present invention relates to computer-aided decision-making technology and Internet of Things technology. Background technique [0002] In some scenarios, in a complex working environment, users are required to make decisions quickly and perform corresponding operations immediately. One such example is cooking, while another is driving a vehicle on the road. However, making decisions and responding purely by the human brain has some potential drawbacks. First, there is too much information in a complex environment, which makes the human brain too burdened to focus on making the most appropriate decision. Second, decision-making is closely tied to the user's experience and physical conditions, and thus is often unreliable. [0003] In order to solve this problem, the scheme of using sensor technology and expert system to make decisions has been developed. Currently, decision making using sensors is done locally, requiring the integration of sens...

AI Technical Summary

Problems solved by technology

However, having a purely human brain to make decisions and react has some potential drawbacks

First, the amount of information in a complex environment is too much, which makes the human brain too burdened to focus on making the most appropriate decision

Second, decision making is closely tied to the user's experience and physical conditions and is therefore often unreliable

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