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Asset Health Management (AHM)
Overview
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.
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Discrete Manufacturing
- Maintenance
Market Size
From 2013 to 2022, the market for overall asset efficiency improvements potentially accumulates to USD 2.5 trillion.
Source: Cisco
Case Studies.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”
Case Study
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.
Case Study
Danish Cell Controller Project
Prior to 1990, most Danish electric power was produced at large, centralized generation plants from which it was transmitted and distributed to commercial, industrial, and residential consumers. Since then, thousands of distributed generators have been added such that the installed generation capacity at the distribution level exceeds the generation capacity at the transmission level. The distributed generation (DG) assets include dispersed combined heat and power (CHP) plants and wind turbines, creating a “carpet” of generation at the low and medium voltage levels of the distribution system (see inset). These distributed resources provide renewable and flexible energy production and support local thermal heating loads but were designed to operate only while grid-connected and could not be used in the case of a major power outage. The high penetration of variable wind generation also created the situation where the transmission system had to balance all the local variability of wind (both real and reactive power).