How Does IoT and AI going to Transform The Factories

Fourth industrial revolution encourages the “smart workspace or smart factory”. To attain this, technical advancements like the internet of things, cloud computing, artificial intelligence, cyber-physical systems are incorporated with the existing system. IoT is the first feature to be implemented in the factory setups to collect the vast amount of data interconnected within the machines and people and send them for technical assistance and to decentralized decisions.

iot and ai

Artificial intelligence is used in Wearable devices that can be worn on the human body with sensors and software to collect and analyze user data, sending messages to other technologies about the users to make their life easier and more comfortable. The implementation of IoT and AI can benefit the various operations of the industries. Some of them are

Production and Analysis:

With new technologies the analysis team able to create new tools virtually and able to test and analyze them virtually. This reduces the manufacturing cost and time spent with actual product testing. Artificial intelligence leads the analysis team to check for the problems created and try to resolve them at the simulation stage by receiving feedback in real time through wearable Augmented Reality (AR) glasses. In the production phase with artificial intelligence and IoT sensors the defected product is identified at the production level itself. This helps the technical people to reject them or rectify their problems in the production phase which helps in delivering the quality product.

Automation

The manufacturing units are atomized with IoT and AI. The new robots are built with image and voice recognition, they also do complex human works. In automation, the most advantage is that robots are able to do work in dangerous conditions where human life will be in danger.   Moreover, the robots will do exact jobs for what they have been programmed.

Design

Artificial intelligence plays a vital role in designing sector of the industries. With the algorithms, a designer can create a design with the data collected and automatic design correction suggestion. They can check whether a new device is to be designed or any adjustments can be made to the existing system which helps in satisfying future production needs. This saves a lot to the companies in reality.

Predictive Maintenance

The sensors attached with the machines continuously collect data from them. This helps in monitoring the equipment. When there is some fault there will be some intimation or alarm by the sensors to notify or pinpoint the problems. This helps in necessary measures to be taken to avoid the complete breakdown of the system.

Now wearables are used with sensors which warn the employee when their working condition is likely to be harmful to them, this protects their life from danger. With artificial intelligence and machine learning algorithms, the data collected in the working environment suggest the maintenance team whether the maintenance is required or not at that particular time. This, in addition, saves the interval maintenance cost to the company.

Conclusion

Besides making the plant floor smart, use of AI and other technologies will extend their influences on other related factors like supply and demand, weather predictions and environmental issues like pollution etc. identifying the right technology for the business will be the challenge to the manufacturing companies to keep them in the forefront.