Lovion RATING can be used to evaluate assets and asset groups in order to derive appropriate measures. The evaluation is based on configurable rating models that describe the state and significance of equipment. Based on this evaluation, meaningful measures can be prioritized for medium-term planning using a RCM (Reliability Centered Maintenance) diagram.
The Lovion system is capable of processing asset data from various sources. The data foundation for Lovion RATING can derive from third-party systems such as GIS or ERP as well as from Lovion ASSET models. As data often needs to be easily accessible in a short period of time, the Lovion CONNECT SUITE offers configurable file formats for integrating basic data. This data can then be evaluated in the system.
The core component of Lovion RATING is the evaluation system, which is individually configured for each asset class or asset group. A matrix with predefined attributes describes the state and significance of each class. Each attribute is weighted to prioritize state and significance. Individual field values of an attribute, such as material or nominal value, can be viewed separately to further differentiate state and significance. Furthermore, scoring models are included for various asset categories. They can be customized to suit your needs.
Asset evaluations also include predefined evaluation classes. Evaluation classes range from neutral, green, yellow to red and their distribution is used to plan measures for assets. These, for example, can include closer observations or a complete replacement. Evaluation classes are defined in a configuration where different characteristics can be assigned to each class and the RCM diagram.
Mapping complex grid and plant structures plays an important role in asset management. Assessing medium voltage power lines based on individual cable sections or local network stations based on the building, transformer and medium as well as low voltage switchgear are practical examples. These structures are represented as parent-child structures in Lovion RATING.
The evaluation system can be adapted and customized based on available data. In addition to asset inventory, damages, conditions, and geographic data, other data such as business data, target grid parameters and importance can be included in the modeling process. Furthermore, versioning options are available to enable historical views and configurations for different evaluation schemes applied on the data.
The consistency of assessment models is essential for transparent and comprehensive evaluations. Validation functions support users during the configuration process and whilst defining different parameters. Validation functions are integrated into the configuration dialog so that validation messages can be evaluated immediately. As consistent and complete data sets are often not available, Lovion provides additional functions for creating substitute values that seem reasonable.
The technical evaluation of assets in Lovion RATING is complimented by the function to calculate estimated costs for replacing equipment. These estimated costs are depicted for each asset type. Plants can be represented by lump sums whereas power lines are depicted based on their segment length. Furthermore, a more detailed differentiation, e.g. by material or pipe diameter allows a more precise cost analysis to be carried out in the evaluation.
Conditions and damages play a central role in asset evaluations. Integrating asset management into other processes such as maintenance and outage management has the advantage of directly accessing relevant information without using an additional interface. Data on the quality of assets can be transferred to Lovion RATING and furthermore, also be used for asset evaluation.
For many technical decisions, it makes sense to provide information about evaluated assets to everyone involved. This is especially true for grid assets, where high civil engineering costs require good and sensible decision-making for upcoming measures. In Lovion RATING, assets are depicted in thematic maps and in colors based on the classification system in the evaluation. This provides all relevant employees with helpful evaluation data for asset management.
The interactive Reliability Centered Maintenance (RCM) diagram in Lovion Asset Management provides an optimal representation of evaluated assets combined with a meaningful classification. In the diagram, each piece of equipment is displayed in two dimensions depending on its importance and condition. By depicting assessment classes as areas in the RCM diagram, a quick and clear asset classification is possible.
In many cases, prioritizing evaluated equipment forms the foundation for deriving measures for grids and plants. The RCM diagram supports users in evaluating how assessed equipment should be prioritized. Criteria such as conditions and importance, which are weighted, as well as defining evaluation classes help to set priorities in the evaluation.
Deriving measures for replacing run-down equipment is often dependent on the available budget. Specifying a budget for replacing equipment incorporates a business perspective in setting priorities.
Prioritization results are displayed in thematic maps and interactive lists. Furthermore, configurable reports can be created to filter data. These results can also be exported to MS Office products where further editing is possible.
Once assets have been identified to be included in future construction measures based on their evaluation results, they can be grouped together in packages. These packages take into account technical classifications as well as individual estimated costs. Packages can be configured flexibly, for example, to represent a sector, type of measure and reference year.
Packages for measures based on asset evaluation results can be integrated into the Lovion INVEST budget planning. This supports asset managers in planning costs and annual budgets and furthermore, incorporating these costs into the future economic planning.
Evaluated assets derived from the Asset Management solution can be directly linked to a construction project or sub-project in Lovion PROJECT. This ensures transparency when making decisions within specific measures. Evaluated assets that are assigned to a measure are directly available to users including all related and evaluation data. In addition, geographic information regarding equipment, such as pipeline routes and plant locations adds a helpful geographic dimension to planning activities. As a result, dependencies and synergy potentials between involved departments can be identified.
Lovion GmbH
Phoenixseestraße 6
44263 Dortmund
© 2024 Lovion GmbH. All rights reserved.
Leider ist unsere Website nicht für den Internet Explorer konzipiert. Für eine optimale Darstellung empfehlen wir Ihnen einen aktuellen Browser zu verwenden!
