Use Cases Automotive Asset Health Management (AHM)

Asset Health Management (AHM)

Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components: 1) Monitoring: Tracking the current operating status of the asset. 2) Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies. 3) Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
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Digitize Railway with Deutsche Bahn
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Buoy Status Monitoring with LoRa
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
 Transcode Creates a Vehicle Fleet Management solution with Intel IoT Gateway
Transcode Creates a Vehicle Fleet Management solution with Intel IoT Gateway
Problem: Inefficient vehicle fleet management hinders business efficiency, employee productivity, and revenue growth opportunities. - Difficult to manage fleet operations, particularly in tracking their daily activities- Challenge for business owners to monitor their drivers’ behavior and daily productivity. Business owners need to ensure that their drivers are following business rules and policies. 

From 2013 to 2022, the market for overall asset efficiency improvements potentially accumulates to USD 2.5 trillion.

Source: Cisco

Erik Walenza-Slabe
CEO
Adapt-N
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