Asset Sensor and Diagnostic Connectivity via the IoT
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It is easier to embed micro computers in many devices and assets. The device will also be expected to easily connect and exchange data with other systems and centralized data repositories that will focus on analysis of exception and aggregate data in different dimensions. By relating the intelligence gathered to the different 3D model areas, engineers can use performance data, not only to diagnose issues, but also to enhance future designs.
The ability to easily connect each device or asset to centralized or remote data processing capabilities using common internet networking protocols. This type of device connectivity is referred to as the Internet of Things (IoT).
Benefits for the company
We will be able to improve product service if we can remotely monitor the product and apply advanced analytics to predict potential issues before they happen. We can optimize maintenance based on sensor and usage statistics versus prescribed intervals.
Feasability
Low
Type of expertise/ AI domain
Predictive analytics, Anomalies Detection, Forecasting, Recommendation System
The increased capacity and lower cost of data storage makes it possible to store huge amounts of data. But these streams of data from sensors and diagnostic feeds need to be managed. Platforms for data management includes strategies for how much to store, locally versus centrally, raw versus aggregated, and for how long for different process orchestration, record keeping and analytical purposes.