METHOD AND APPARATUS FOR CHEMICAL DATA REPOSITORY

Abstract

Methods for chemical management, observing the effectiveness of an industrial facility, or of organizing the assets of a business organization. The method is computerized and may involve receiving specification data for pieces of equipment and organizing the equipment into data structures of templates. The templates may be organized in a hierarchical structure where the lowest levels correspond to templates for a single piece of equipment and higher levels correspond to categories of pieces of equipment.

Description

PRIORITY CLAIM

The present application is a continuation of co-pending U.S. Patent Application Ser. No. 12/899,250, filed Oct. 6, 2010, the disclosure of which is hereby incorporated by reference in its entirety.

BACKGROUND

Certain embodiments of the invention relate generally to a system and method for the collection analysis and application of data in a chemical plant. Chemical and industrial facilities utilize a variety of complex equipment, which are often subject to harsh chemical and physical conditions. As such, a number of technologies have been developed to monitor the condition, efficiency, and expected lifespan of the equipment. Such technologies include historian systems, which collect and archive data from various sources within the chemical plant.

Monitoring equipment typically involves a system in which a variety of process variables are measured and recorded. One such system is described in US Published Patent Application 2009/0149981 A1. Such systems however often produce massive amounts of data of which only a small portion of which is usefully tracked to detect abnormal conditions and the information gleaned from those systems is of limited practical use.

Thus there is clear need and utility for system and method for the collection, analysis, and application of data in a chemical plant. The art described in this section is not intended to constitute an admission that any patent, publication or other information referred to herein is “prior art” with respect to this invention, unless specifically designated as such. In addition, this section should not be construed to mean that a search has been made or that no other pertinent information as defined in 37 CFR §1.56(a) exists.

BRIEF SUMMARY

Certain embodiments of the invention are directed towards a computer-implemented chemical management method. The method includes receiving, by a computer, specification data collected from multiple assets associated with a business organization. Each asset corresponds to a piece of equipment. The method also includes inputting, for each asset, the received specification data into a data structure of a template. The templates for the assets are organized into a hierarchy. The hierarchy includes templates for single assets at a lowest level of the hierarchy and templates for categories of assets at a higher level of the hierarchy. The different templates at the lowest level of the hierarchy are defined for different types of equipment. The method also includes determining an aggregate specification value for a category of assets associated with a template at a higher level of the hierarchy. The aggregate specification value is based on specification values for individual assets within the category of assets for the template at the higher level of the hierarchy.

Certain embodiments of the invention are directed towards a computer-implemented method for observing the effectiveness of an industrial facility. The method includes providing, by a computer, multiple templates arranged in a hierarchy. The multiple templates include multiple templates at a lowest level of the hierarchy and multiple templates at a higher level of the hierarchy. The multiple templates at the lowest level of the hierarchy define data structures receiving specification data collected from multiple assets associated with a business organization. Each of the assets corresponds to a piece of equipment. The multiple templates at the higher level of the hierarchy define data structures for categories of assets. The method also includes receiving the specification data collected from the multiple assets so as to provide collected specification data. The method includes inputting the collected specification data into the plurality of templates at the lowest level of the hierarchy. The method also includes determining an aggregate specification value for a category of assets associated with the multiple templates at the higher level of the hierarchy. The aggregate specification value being based on collected specification data for individual assets within the category of assets for a template at the higher level of the hierarchy. The method includes displaying data associated with the plurality of assets in the hierarchy so that a user can compare data at different levels of the hierarchy.

Certain embodiments of the invention are directed towards a computer-implemented method. The method includes identifying multiple assets associated with a business organization. Each asset is a piece of equipment from which specification data is collected. The method includes providing multiple lower-hierarchy templates, where each lower-hierarchy template defines a data structure for a given type of asset. The data structure is configured to receive data that includes specification data collected from the given type of asset. The method also includes providing multiple higher-hierarchy templates, where each higher-hierarchy template defines a data structure for a given category of assets. The method includes organizing the multiple lower-hierarchy templates and the multiple higher-hierarchy templates into a hierarchy for the multiple assets associated with the business organization. The hierarchy defines a sequential relationship from a smaller unit of organization to a larger unit of organization for the multiple assets of the business organization.

At least one embodiment of the invention is directed towards a method for efficiently observing the effectiveness of an industrial facility. The method comprises: inputting one or more specs from one or more data sources relating to the physical attributes of two or more assets into a computer, organizing the assets according to a hierarchy, and displaying the data in a format allowing the user to compare the specs by asset type, spec type, or position within the hierarchy.

The spec may be spec is selected from the list consisting of: pH, temperature, voltage, age, viscosity, density, weight, salinity, concentration of a particular composition of matter, or any combination thereof. The hierarchy may be selected from the list consisting of: asset category, geographic location, unit of ownership, time of operation, cost of operation, and any combination thereof. The method may further comprise the steps of: scoring at least one spec by determining if they fall within an acceptable range of values, aggregating at least some of the specs of at least one asset and determining if the aggregate spec falls within an acceptable range of values, providing an unequal weight to certain specs, and/or determining an overall rating by aggregating the specs of multiple assets.

The operation of at least one asset may involve at least two specs, altering the value of each spec directly causes a specific change in the cost of operating or maintaining the asset, and altering one spec mitigates the costs associated with altering another spec, wherein the method further comprises the step of displaying the associated costs of various possible alterations of one or more of the specs. The asset may be operated in accordance with the maintenance of the specs in conformance with the lowest possible cost combination. At least one asset may be selected from the list consisting of: boilers, heat exchangers, cooling towers, conduit pipes, crude oil refinery units, reaction vessels, mills, storage tanks, mixing tanks, pumps, valves, water treatment facilities, and any combination thereof.

The changes in the costs of operating or maintaining the asset may be the change in cost of an item selected from the list consisting of: energy, feedwater, industrial chemicals, scale control chemicals, corrosion mitigating chemicals, waste consuming microorganisms, time offline, repair costs, component replacement costs, lost sales, opportunity cost, and any combination thereof. The display may include the revenue to be earned from operating at least one asset according to the displayed specs.

The method may further comprise implementing at least two specs in at least one asset based on rationally selecting a desired ratio of costs to revenue. The implementation may be accomplished according to one item selected from the list consisting of: a manual human operation, an automated response by process control equipment receiving the data, and any combination thereof.

BRIEF DESCRIPTION OF THE DRAWINGS

A detailed description of the invention is hereafter described with specific reference being made to the drawings in which:

FIG. 1 is a flowchart illustrating at least one embodiment of the inventive method.

FIG. 2 is a diagram of hierarchy logic in at least one embodiment of the inventive method.

DETAILED DESCRIPTION

In at least one embodiment, a chemical management system is provided which comprises at least one computer and at least one source of data, which is input into the computer. The data source comprises at least one source of raw data related to the item(s) under management selected from: control systems output, wet chemistry test results, manual observation data, data collected by handheld equipment, laboratory management systems (LIMS), gauges, transmitters, statistical process control, statistical quality control, inventory management software, and any combination thereof. This information is stored by the computer and indexed by time. The data sources may also include information collected by a process historian such as but not limited to that described by US 2009/0149981.

The collected data is various readings of various specifications (or specs) of relevance various assets. Collected specs include but are not limited to temperature, pressure, pH, voltage, density, viscosity, and concentration of one or more materials of interest. The specs are collected from various “assets” including but not limited to specific boilers, heat exchangers, cooling towers, conduit pipes, reaction vessels, mills, storage tanks, mixing tanks, pumps, valves, and the like, and any combination thereof. Each spec for each asset is recorded at a specific time. A data quantum containing a spec, an asset, and a time is referred to as raw data. Calculations are then performed on the raw data to rate it relative to known performance parameters of the particular asset. The parameters are acceptable measurements for given assets based on industry standards, determined best practice, or proprietary information. FIG. 1 illustrates at least one example of collecting specs for various assets.

The raw data is allocated to a template. For purposes of this application the definition of “template” is a commonly defined data structure for a given type of equipment in which the definition is such that it encompasses all examples of that equipment irrespective of such variables as location, construction, and customer, without having to modify the data structure.

In at least one embodiment the template corresponds to a client specific hierarchy. For purposes of this application the definition of “hierarchy” is the sequential relationship from a smaller or more local unit of organization (such as a single asset) to increasingly larger units of organization (such as all of a particular asset of a large corporation or government, or all facilities of an industry in a continent). Templates can be organized within data structures such as arrays, queues, link lists, object-oriented programming structures, or any other form suitable for of data organization. In at least one embodiment, the hierarchy comprises various units measuring time-specs within assets, assets within areas, and areas within industries. The template contains at least one hierarchy defining data item (such as a single asset or a category of assets) and at least one spec for that item (such as pH in that asset). Templates and assets can also be limited to only those pieces of equipment designated for particular tasks or involved in producing particular products.

For example, a corporation having multiple oil refineries in various locations could have a low in the hierarchy template corresponding to one or more specs for a single distillation column in one particular refinery. It could also have various intermediate in the hierarchy templates referring one or more specs for some or all of the distillation columns in its various facilities. It could have a highest-level in the hierarchy template referring to one or more specs for every distillation column (or even every asset) in all of its facilities. The templates can be organized at least according to: asset type, location, problem the asset(s) addresses, problem the asset(s) face, and time.

In at least one embodiment a score is provided to one or more of the various specs of a template. The score can be a determination if one or more specs of the template are within an acceptable margin or not, and if not by how large the deviation is.

In at least one embodiment a user can obtain useful knowledge by “rolling” up or down the hierarchy. When rolling, a user selects one or more specs and then observes templates that are higher or lower in the hierarchy and compares the changes in spec(s) between the templates. The specs for higher-in-the-hierarchy templates are aggregate values of the individual assets within that template's definition. This method allows a user to determine if one particular asset is exceptionally over or under performing relative to the user's business organization as a whole. This method is also useful in observing and predicting organization wide trends and can be used to initiate pre-emptive or other countermeasures.

FIG. 2 illustrates a possible hierarchy for a user. The Customer template includes specs for all the user's Sites. Each Site in turn contains specs for that Site's Process Areas. The Process Areas contain specs for particular Units. The Units contain specs for the various pieces of equipment for that unit such as Boilers or Cooling Towers. Rolling up and down this hierarchy allows the user to modulate between useful global views and technically specific local views.

In at least one embodiment a user can obtain useful knowledge by observing one or more composite specs. A composite spec is a weighted valuation of multiple specs, which may or may not be directly related (such as for example scale deposit, leakage, and pH). Composite specs are useful for determining if an overall maintenance or reliability problem exists or if quality standards as a whole are being observed. High hierarchy composite specs can provide insights into company wide quality success or failures and can be used over time to gauge organization wide changes in quality.

In at least one embodiment process control equipment is constructed and arranged to respond to a message indicating a low scoring specs in one or more assets by initiating a countermeasure. The response can be automated, a manually enacted human response, or any combination thereof. In at least one embodiment the process control equipment includes chemical feeding and mixing apparatus such as those described in U.S. Pat. No. 7,550,060.

In at least one embodiment the invention utilizes the benchmarking methods and algorithms disclosed in U.S. Pat. No. 7,233,910 and/or US published patent application 2008/0201181 A1. In at least one embodiment target variables, first principle characteristics, usable characteristics are all determined and organized for the asset level and at various higher and lower hierarchical levels. Furthermore analysis models, developed characteristics, constraints, and equivalency factors are made to glean information at various different hierarchical levels.

In at least one embodiment a data display or “dashboard” utilizes the collected information to display the various costs and benefits of alternative uses of assets and templates. For example, the system can collect and display the current degree of corrosion in one or more assets. It can utilize information to extrapolate the rate and effects of further corrosion, in particular the inefficiencies the corrosion causes, the costs of corrosion mitigating chemicals, and the reduction in quality of resulting product. The system can also obtain information regarding cost of repairs and replacements at the present time or at one or more future times loss due to repairs. The system can compare that information with data regarding the profit that can be generated from producing a particular product with one or more of the assets. The display would them show a user the real time actual cost of deferring repairs versus the benefits of continuing production and allow the user to make up to date actual business decisions using information at the asset level.

In at least one embodiment a production “sweet spot” can be determined. In general more profit can be obtained by continually producing a valuable product. At the same time however, if one or more of the production assets are impaired (for example by corrosion issues), more costs are also incurred because ever greater amounts of remediation strategies (such as corrosion compensating chemicals) must be applied, the system must be taken offline longer to effect more comprehensive repairs, and/or one or more components of the system may become irreparably damaged and must ultimately be replaced. This can vary by product because different products impose different degrees impairment on their production facilities.

The sweet spot is the degree of production just before a point of diminishing return exists where even highly profitable products display shrinking profit margins due to compounded impairment costs. For example it might be profitable to run production for a particular product until just before a key component fails because the cost of corrosion remediation chemicals is outweighed by the product's market value but the market value does not outweigh the cost of replacing that component. In at least one embodiment the data is used to assure that production is run up until a particular reduction in profit is about to manifest and no further.

This ability to correlate the factors needed to make rational business decisions allows the user to recognize the opportunity costs of various decisions. For example if doubling or tripling production would double or triple revenues but would only increase corrosion costs by a lesser amount, increasing production makes sense. If however corrosion mediation costs increase at a rate greater than the increase in revenues of increased production, but corrosion costs decrease by an even greater amount by decreasing production, continuing production at a reduced rate makes sense. By allowing the user to see in real time the true costs of various production options and the financial consequences of those options, useful decisions can be made. In at least one embodiment the costs of corrosion remediation includes at least in part the costs of using the methods and compositions disclosed in U.S. Pat. Nos. 5,326,482 and 5,252,524.

In at least one embodiment the cost of continuing production includes but is not limited to the cost of scale reducing chemicals used, the cost of scale removal, and the energy cost due to reduced efficiency in the asset. These costs themselves can vary by asset due to the utility (water, electricity, gas, waste disposal), labor, raw material, transportation, and climate based costs due to the specific location of an asset. These costs can also vary by asset based on age of an asset or the particular technology used by that asset. In at least one embodiment the asset-by-asset analysis of cost versus benefit is displayed or generated in a data format and determines which assets should continue production, which should increase and which should decrease and/or cease production. In at least one embodiment the data is used to determine opportunity costs of various production options for crude oil refinery units.

In at least one embodiment the system is constructed and arranged to determine the opportunity costs of various options of operating industrial boilers. Boilers operate under various constraints. At low cycle levels large amounts of feedwater are used and wear and tear on the system is reduced but feedwater costs increase. At high cycle levels, as the same water is cycled again and again through the system, less feedwater is used but the water in the system becomes increasingly harsh and scale or corrosion is more likely to result and scale or corrosion chemicals must be used. Furthermore the temperature that the water is maintained at determines which of either corrosion or scale build up is more likely to occur. The particular temperature at which either scale or corrosion occurs however is unique for each asset. Furthermore temperature changes also involve different energy costs. In at least one embodiment the system is constructed and arranged to determine what the cost of feedwater is, the cost of scale control, and the cost of corrosion remediation and to display such information. In at least one embodiment the user adjusts the cycle level and boiler temperature to utilize the lowest possible cost combination of feedwater, scale control chemicals, and corrosion control chemicals.

In at least one embodiment the system is constructed and arranged to determine the opportunity costs of various options of operating cooling towers. Similar to boilers, cooling towers have the constraints of controlling for feedwater cycle costs and corrosion and scale costs. In addition cooling towers utilize fill packing to increase the surface area of the water to better cool it. Fill packing however over time becomes damaged and losses efficiency. To compensate fans must blow longer to achieve equal amounts of cooling thereby greater energy costs are incurred. In at least one embodiment the system is constructed and arranged to keep track of the fill packing efficiency and to use that information to compute the energy costs of fan use. The system then displays the various costs of changing feedwater cycles, corrosion remediation rates, scale remediation rates, and fan energy use to determine the opportunity costs of various settings for the cooling tower. The system can also display the cost differential for continuing to operate the cooling tower as-is or to take the tower offline and replace damaged fill packing.

In at least one embodiment the system is constructed and arranged to determine the opportunity costs of various options of operating heat exchangers. With heat exchangers typically a cost benefit decision needs to be made comparing the cost of taking an exchanger offline to re-tube or otherwise repair it or to operate it at a less efficient manner and thereby incur additional energy costs. In at least one embodiment the system displays the comparative opportunity costs of continuing to operate a heat exchanger versus re-tubing or otherwise repairing it.

In at least one embodiment the system is constructed and arranged to determine the opportunity costs of various options of operating a wastewater facility. Wastewater facilities often utilize various microorganisms to break down waste products in water and then discharge the water. Adding particularly hot liquids to the wastewater facility kills at least some of the microorganisms. As a result conflicting costs constrains involving how vital the microorganisms are (how large or healthy is the population of microorganisms and how much added heat can that population handle before it is impaired or even completely killed off), the cost of replacing the microorganisms, and the cost of storing and diverting water needing treatment until the water either cools enough or the microorganisms are vital enough to process the water. In at least one embodiment the system displays the costs of admitting various amounts of waster into a treatments facility and/or a diversionary storage facility.

In at least one embodiment the system is constructed and arranged to display the costs of operating one or more assets according to the methods and procedures in U.S. Pat. Nos. 7,448,230 and 6,957,153.

In at least one embodiment the system is constructed and arranged to display the opportunity costs and opportunity benefits of idling, operating (at one or more possible capacities producing one or more products), remediating, and/or repairing one or more or all of one or more kinds of assets within the hierarchy versus the opportunity costs. For purposes of this application “remediating” means adding chemicals to an asset specifically for the purpose of limiting, mitigating, or counteracting a phenomenon occurring during its operation which is harmful or damaging to some or all of one or more assets. Examples of remediation are scale control, corrosion control, acid neutralization, base neutralization, microbial control, microbial preservation, and any combination thereof. Products include but are not limited to chemicals, fuel, oil, petroleum, diesel fuel, hydrocarbon products, refined goods, manufactured goods, processed commodities, and any other industrial product subject to fluctuating prices in some market. Costs include but are not limited to solid, liquid or gas pollution costs and damages, carbon taxes, raw materials costs, utility costs, transportation costs, loss of time, loss of market share, labor costs, safety costs, and any combination thereof.

While this invention may be embodied in many different forms, there are shown in the drawings and described in detail herein specific preferred embodiments of the invention. The present disclosure is an exemplification of the principles of the invention and is not intended to limit the invention to the particular embodiments illustrated. All patents, patent applications, scientific papers, and any other referenced materials mentioned herein are incorporated by reference in their entirety. Furthermore, the invention encompasses any possible combination of some or all of the various embodiments described herein and incorporated herein.

The above disclosure is intended to be illustrative and not exhaustive. This description will suggest many variations and alternatives to one of ordinary skill in this art. All these alternatives and variations are intended to be included within the scope of the claims where the term “comprising” means “including, but not limited to”. Those familiar with the art may recognize other equivalents to the specific embodiments described herein which equivalents are also intended to be encompassed by the claims.

All ranges and parameters disclosed herein are understood to encompass any and all subranges subsumed therein, and every number between the endpoints. For example, a stated range of “1 to 10” should be considered to include any and all subranges between (and inclusive of) the minimum value of 1 and the maximum value of 10; that is, all subranges beginning with a minimum value of 1 or more, (e.g. 1 to 6.1), and ending with a maximum value of 10 or less, (e.g. 2.3 to 9.4, 3 to 8, 4 to 7), and finally to each number 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 contained within the range.

As noted above, embodiments of a chemical management system may be implemented via a computer that is adapted to store and perform calculations on raw data. Accordingly, it is therefore known and understood that the techniques described in this disclosure may be implemented, at least in part, in hardware, software, firmware or any combination thereof. For example, various aspects of the described techniques may be implemented within one or more processors, including one or more microprocessors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or any other equivalent integrated or discrete logic circuitry, as well as any combinations of such components. The term “processor” may generally refer to any of the foregoing logic circuitry, alone or in combination with other logic circuitry, or any other equivalent circuitry.

Such hardware, software, and firmware may be implemented within the same device or within separate devices to support the various operations and functions described in this disclosure. In addition, any of the described units, modules or components may be implemented together or separately as discrete but interoperable logic devices. Depiction of different features as modules or units is intended to highlight different functional aspects and does not necessarily imply that such modules or units must be realized by separate hardware or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware or software components, or integrated within common or separate hardware or software components.

The techniques described in this disclosure may also be embodied or encoded in a non-transitory computer-readable medium, such as a computer-readable storage medium, containing instructions. Instructions embedded or encoded in a computer-readable storage medium may cause a programmable processor, or other processor, to perform the method, e.g., when the instructions are executed. Non-transitory computer readable storage media may include volatile and/or non-volatile memory forms including, e.g., random access memory (RAM), read only memory (ROM), programmable read only memory (PROM), erasable programmable read only memory (EPROM), electronically erasable programmable read only memory (EEPROM), flash memory, a hard disk, a CD-ROM, a floppy disk, a cassette, magnetic media, optical media, or other computer readable media.

This completes the description of the preferred and alternate embodiments of the invention. Those skilled in the art may recognize other equivalents to the specific embodiment described herein which equivalents are intended to be encompassed by the claims attached hereto.

Claims

1. A computer-implemented chemical management method comprising:

receiving, by a computer, specification data collected from a plurality of assets associated with a business organization, wherein each asset of the plurality of assets is a piece of equipment;

inputting for each asset of the plurality of assets, by the computer, received specification data into a data structure of a template, wherein templates for the plurality of assets are organized into a hierarchy, the hierarchy including templates for single assets at a lowest level of the hierarchy and templates for categories of assets at a higher level of the hierarchy, wherein different templates at the lowest level of the hierarchy are defined for different types of equipment; and

determining, by the computer, an aggregate specification value for a category of assets associated with a template at a higher level of the hierarchy, the aggregate specification value being based on specification values for individual assets within the category of assets for the template at the higher level of the hierarchy.

2. The method of claim 1, wherein the business organization is a corporation having multiple oil refineries.

3. The method of claim 2, wherein the plurality of assets include a plurality of distillation columns.

4. The method of claim 2, wherein a single asset at the lowest level of the hierarchy is a distillation column at one particular oil refinery and a category of assets at the higher level of the hierarchy includes multiple distillation columns at multiple oil refineries.

5. The method of claim 1, wherein the plurality of assets include one or more of a boiler, a heat exchanger, a cooling tower, a conduit pipe, a reaction vessel, a mill, a storage tank, a mixing tank, a pump, and a valve.

6. The method of claim 5, wherein the specification data include one or more of temperature, pressure, pH, voltage, density, viscosity, and concentration of one or more materials of interest.

7. The method of claim 1, wherein the hierarchy is selected from the group consisting of asset category, geographic location, unit of ownership, time of operation, cost of operation, and combinations thereof.

8. The method of claim 1, further comprising determining, by the computer, a score for each asset of the plurality of assets based on specification data collected from each asset.

9. A computer-implemented method for observing the effectiveness of an industrial facility, the method comprising:

providing, by a computer, a plurality of templates arranged in a hierarchy, wherein the plurality of templates include a plurality of templates at a lowest level of the hierarchy and a plurality of templates at a higher level of the hierarchy, wherein the plurality of templates at the lowest level of the hierarchy define data structures receiving specification data collected from a plurality of assets associated with a business organization, each asset of the plurality of assets being a piece of equipment, and wherein the plurality of templates at the higher level of the hierarchy define data structures for categories of assets;

receiving, by the computer, specification data collected from the plurality of assets so as to provide collected specification data;

inputting, by the computer, the collected specification data into the plurality of templates at the lowest level of the hierarchy;

determining, by the computer, an aggregate specification value for a category of assets associated with the plurality of templates at the higher level of the hierarchy, the aggregate specification value being based on collected specification data for individual assets within the category of assets for a template at the higher level of the hierarchy; and

displaying, by the computer, data associated with the plurality of assets in the hierarchy so that a user can compare data at different levels of the hierarchy.

10. The method of claim 9, wherein the plurality of assets include a plurality of distillation columns.

11. The method of claim 10, wherein a single asset at the lowest level of the hierarchy is a distillation column at one particular oil refinery and a category of assets at the higher level of the hierarchy includes multiple distillation columns at multiple oil refineries.

12. The method of claim 9, wherein the plurality of assets include one or more of a boiler, a heat exchanger, a cooling tower, a conduit pipe, a reaction vessel, a mill, a storage tank, a mixing tank, a pump, and a valve.

13. The method of claim 12, wherein the collected specification data include one or more of temperature, pressure, pH, voltage, density, viscosity, and concentration of one or more materials of interest.

14. The method of claim 9, wherein receiving specification data comprises receiving specification data from a process historian.

15. The method of claim 9, wherein the hierarchy is selected from the group consisting of asset category, geographic location, unit of ownership, time of operation, cost of operation, and combinations thereof.

16. A computer-implemented method, comprising:

identifying a plurality of assets associated with a business organization, wherein each asset of the plurality of assets is a piece of equipment from which specification data is collected;

providing a plurality of lower-hierarchy templates, each lower-hierarchy template defining a data structure for a given type of asset, the data structure being configured to receive data that includes specification data collected from the given type of asset;

providing a plurality of higher-hierarchy templates, each higher-hierarchy template defining a data structure for a given category of assets; and

organizing, by a computer, the plurality of lower-hierarchy templates and the plurality of higher-hierarchy templates into a hierarchy for the plurality of assets associated with the business organization, wherein the hierarchy defines a sequential relationship from a smaller unit of organization to a larger unit of organization for the plurality of assets of the business organization.

17. The method of claim 16, wherein the plurality of lower-hierarchy templates are configured to determine a score for the given type of asset, the score indicating whether specification data collected from an assets is within an acceptable margin.

18. The method of claim 16, wherein the plurality of higher-hierarchy templates are configured to determine a composite specification, the composite specification being a weighted valuation of multiple specification data collected from the plurality of assets.

19. The method of claim 16, wherein the hierarchy is selected from the group consisting of asset category, geographic location, unit of ownership, time of operation, cost of operation, and combinations thereof.

20. The method of claim 16, wherein the plurality of assets include one or more of a boiler, a heat exchanger, a cooling tower, a conduit pipe, a reaction vessel, a mill, a storage tank, a mixing tank, a pump, and a valve.