Predictive Maintenance of Machine Health by S-NODE Using AR

The integration of augmented reality (AR) technology with the principles of Industry 4.0 aims to improve industrial processes’ efficiency and productivity. The following research paper is in association of a project which follows similar principle. The research work in discussion integrates the concept of augmented reality with industry 4.0. The research work is done in context of a device named S-NODE (designed and produced by Dotcom IoT llp) which is able to sense the physical parameters which are helpful to predict the maintenance of the machine; it is mounted on and stores the data on a live MS SQL database. The stored data is to be used as training data for a machine learning model providing the feature of predictive maintenance to it. The S-NODE device is classified into different types based on the sensors mounted in it. The different types of device have different parameters which are mentioned along with the device UID in the MS SQL database. To get the device type, a query is used to get the device from MS SQL database. The end goal is to create an application using unity which could track the S-NODE device as a model target. With the help of augmented reality, the device is tracked along with a QR code which holds the UID of the device and demonstrates the data stored on the MS SQL database, as per the device type and its parameters.