With efficient #assetmanagement, companies in the #Utility industry ensure that: 1. Scheduled maintenance can take place 2. The assets are in good condition 3. The total costs of owning and operating the assets are minimized

#Utilities rely on many different assets, each of which plays a crucial role in the delivery of services. Here is a list of some of the types of assets used in the various industry segments: Pipes Networks Buildings Pumps, Machines, Systems Operators, Equipment Tools, #RealEstate

The Digital Renaissance provides utilities with many technological solutions to address the requirements and needs of both businesses & consumers: Sustainability Flexible resources Transforming #businessmodel Growth in #SmartCity A strategic approach to market enforcement

Here’s a roadmap with best practices for #assetmanagement throughout their life cycle.

Be aware of the condition and importance of the assets This understanding of assets is about determining what needs #maintenance and whether it should not be replaced.

Work #proactively Does a fully equipped and modernized asset management system in #utilities requires huge amounts of resources to create? The reality is a little different, and it turns out that businesses need to do more work with fewer #resources and tighter budgets.

Create a harmonized, measurable #risk framework consistent with organizational values ​​and goals It allows a comparison of potential opportunities and new plans related to the exploitation of assets.

Take advantage of the data available to make high-value decisions The transition to an optimized approach for #businessmanagement and development leads to a rethinking of data collection for services.

Continuous measurement and adjustment of the implementation of the strategy Establish a feedback cycle based on objectified risk measures using reliable data. It helps all employees involved in asset management to continuously improve the system and related processes #BigData

Check out this shocking stat about #predivtivemaintenance by UpKeep: Predictive maintenance is highly cost-effective, saving roughly 8% to 12% over preventive maintenance, and up to 40% over reactive maintenance (according to the U.S. Department of Energy).

Find the full list of Predictive and Preventive Maintenance Statistics here: onupkeep.com/learning/maint… #IoT #ArtificialIntelligence

Can you define what predictive maintenance is? Predictive maintenance is a technique that uses condition-monitoring tools and techniques to track the performance of equipment during normal operation to detect possible defects and fix them before they result in failure. #LowCode

What is the ideal balance that #PdM can achieve? Ideally, predictive maintenance allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance, without incurring costs associated with doing too much preventive maintenance.

How does Predictive maintenance work? It uses condition-monitoring equipment to evaluate an asset’s performance in real-time. A key element in this process is the #IoT. It allows for different assets and systems to connect, work together, and share, analyze, and action data.

What are the benefits of #predictivemaintenance? When it's working effectively as a maintenance strategy, maintenance is only performed on machines when it is required. That is, just before failure is likely to occur. This brings several cost savings:

These are some of the most used predictive maintenance tools to monitor asset health and prevent its’ breakdown: Thermal replica, Vibration analysis, Ultrasonic detection, Oil analysis, Emission test. #maintenance #IIoT #IoT

Thermal replica works through an infrared connection. It allows you to take a picture of the equipment to identify the hottest spots. Both worn components and defective electrical circuits will emit heat that is reflected on the screen.

You can use vibration analysis or monitors that are integrated into the machine, which will make it possible to control vibration. It often happens that some components, such as shafts or bearings, wear out quickly and become damaged.

Like vibration analysis, ultrasound detection reveals dysfunctions that might otherwise go unnoticed. The equipment will emit sounds that are not perceived by the human ear and can be analyzed as soon as they appear, thus avoiding many problems.

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