Artificial intelligence in design / manufacturing

What does artificial intelligence have to do with control engineering?

Answer: One way artificial intelligence relates to control engineering is when embedded software helps with situational awareness. Suppose a car were left running in a parking garage .If the car were in a closed space without ventilation, a CO sensors combined with an area sensor could automatically shut down a running vehicle with in a very short period , potentially saving lives. In manufacturing machine running web- based process may have similar situation awareness. There may be a perfectly good reason to leave the machine running when the last material runs through the rollers and an operator is standing in a certain location.

David A. Sanders outlines seven AI tools have proved to be useful with sensor systems: Knowledge-based systems, fuzzy logic, automatic knowledge acquisition, neural networks, genetic algorithms, case-based reasoning, and ambient-intelligence.

Sanders and co-author Alexander Gegov also explain in another article how robotics, cars, and wheelchairs are among the beneficiaries of artificial intelligence.

AI helps computing in four ways:

1. Natural language understanding to improve communication.

2. Machine reasoning to provide inference, theorem-proving, cooperation, and relevant solutions.

3. Knowledge representation for perception, path planning, modeling, and problem solving.

4. Knowledge acquisition using sensors to learn automatically for navigation and problem solving.

Artificial intelligence's ability to function as a safety measure and provide another set of eyes, so to speak, can be extremely beneficial to worker safety in manufacturing.

Article Title: Artificial intelligence in manufacturing

Publication Date: November 09, 2015

Website Title: Control Engineering

URL: http://www.controleng.com/single-article/artificial-intelligence-in-manufacturing/999f49613e37696b9899115aa36e788e.html

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