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Inlibra Advantage








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Customers find Inlibra Suite is surprisingly easier to use than competitors’ products. Our software features and improved methodology distinguish our product and services.

Inlibra Interface
Inlibra’s Interfaces diagram.

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Software Feature Advantages

Automatic gross error detection: Often a plant’s metered values are sufficiently incorrect that they shouldn’t be factored into the balancing algorithm. Inlibra Suite not only identifies those meters for you, it also automatically excludes them prior to generating reconciled values. Competitors’ products may indicate that values are wrong, but they leave too much of the effort to you -- and often invalidate the initial balance. Inlibra Suite finds and excludes erroneous meters before balancing, ensuring useful results on the first run. Automation of gross error detection is indispensable. Software that relies on human intuition to identify and remove faulty measurements is subject to errors. Mechanization of the process of detecting and removing faulty measurements also ensures that results are consistent regardless of who is operating the software.

Intuitive graphical user interface: Inlibra provides a comprehensive object-oriented graphical user interface (GUI) with drag-and-drop functionality for building and viewing your plant model. Some competitors’ products are table-based, without a graphical interface. Other competitors' GUIs are impaired by a lack of some or many of Inlibra’s features.

Modular plant modeling: Inlibra Suite permits you to break a graphical picture of your plant into multiple screens that are interconnected and balanced as one model. Inlibra Suite provides “Model Connector” objects that serve as a navigational and logical flow connection between screens.

Uncluttered plant modeling: Model Connectors also allow you to connect parts of your diagram that are on the same display but physically far apart. The Model Connector ensures that the model knows there is flow between the plant model objects that are linked in this fashion.

Rapid model navigation: The “Navigator” objects permit you to jump quickly between related parts of your diagram even when no stream flows explicitly between them. Navigators are like Model Connectors without flow.

Validated stream categorization: During the plant reconciliation the streams are analyzed and validated for inclusion within the finalized reconciled data. The streams are then color-coded within the model for quick identification of problem areas. Streams are identified as follows:
logo bug  Gross errors (treated as unmeasured)
logo bug  Unmeasured
logo bug  Out of service (zero flow)
logo bug  Measured and reconciled

Extensible formula calculations: Inlibra Suite incorporates our “Smart Objects,” which enables you to use Excel-like mathematical formulas within the plant model. Through these formulas, your configuration objects become Smart Objects with built-in intelligence that exceeds and complements what’s available from your data historian. Smart Objects let you:
logo bug  Calculate and display key performance indicators.
logo bug  Modify measured values by algorithm before using them as input to the balance.

Component balance (using constraints): Inlibra Suite incorporates our “Smart Constraints,” which lets you add constraints that force your balance to respect overall mass balance as well as component balances and stoichiometric relationships (reaction ratios). They are called Smart Constraints because, like Smart Objects, they use formulas.
logo bug  This feature uses the Excel-like mathematical formula capability described above for Smart Objects, which provides great flexibility.
logo bug  Inlibra’s constraints let you enforce a component balance on widely separated streams without having to calculate component flow on all intermediate streams.
logo bug  The constraints are implemented in a way that does not significantly change overall calculation time or calculability.
logo bug  Inlibra permits you to optionally perform a volume (rather than a mass balance) or to simultaneously enforce both a volume and a mass balance, where the results of one balance are simultaneously used to help correct the other. (Use only when corrected volume is conserved.)

Automatic movement detection: Inlibra can use tank level changes to infer movements between tanks, eliminating the need for tank movement data entry.

Practical data inferencing: Inlibra Suite implements many practical methods to incorporate human estimates into the configuration for areas of the plant with little or no measurement. For example, you can distribute flows proportionally by percentage to a series of parallel output streams if you know what the relative proportions should be. Or, as another example, you can supply an estimated flow rate for an unmeasured stream that will influence the amount of flow automatically assigned to it.

Flexible period definition: Inlibra Suite permits you to define your period length and end time. The usual setting is one day, midnight to midnight, but this is fully customizable.

Powerful data trending: Measured and reconciled values from previous days are kept in the Inlibra database. You have one-click access to a graphical trend so you can compare previous days' values to today’s.

Expandable decision support: Inlibra enables you to easily copy the configuration and any desired amount of historical data into an MS Access database – so you can make an offline copy of the Inlibra database (independent from Oracle or SQL Server) for individual experimentation, development, or troubleshooting.

Open data access: Inlibra offers multi-user access by using a full relational database management system (RDBMS) package rather than local data files. Both Oracle and SQL server are supported as the underlying data storage.

Inclusive third party support: Inlibra has built-in support for the three most popular real-time data historians: Honeywell PHD, ApenTech InfoPlus21 and OSIsoft PI. In addition, Inlibra can retrieve from and store data in any data source accessible through OLEDB. Multiple interfaces to multiple systems can be defined and used at once.

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Methodology Advantages

Quality Assurance: Prior to any attempt to commission, we test the model with at least two months of real-time and lab data to prove that every day within that two-month period can be balanced. We don’t rely on tests that use plant throughput design data or data from an ideal day.

High Fidelity: We avoid simplification. Unlike vendors who provide less reliable results and less functional GUIs, Inlibra is not afraid of complex models. A fully detailed, accurate model turns out to be easier to maintain, because when the physical plant deviates from the detailed DR model, the engineer who reviews the DR results will notice right away and be able to keep the model current.

Rigorous Analysis: Inlibra will complete reconciliation of the previous day’s data and perform reasonable verification of the reconciled data in less than an hour per day, on average. You don't want to waste your engineers' time, and neither do we. The software lists probable measurement errors in a way that lets engineers see data problems or unusual results quickly; and we help you create summary report screens that quickly identify which parts of the plant require investigation. Such investigations – and resolutions -- can usually be done within a half hour, even on models with 4000 streams.

Extensive Design: Components of streams must also balance. This is a powerful way to increase mass balance accuracy when a plant’s number of flow measurements don’t ensure accurate mass balance.

Unbeatable Service: Inlibra projects are delivered by qualified professionals who guarantee success.

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