Fluid Meter Certification System and Associated A Posteriori Database

Abstract

Embodiments of the disclosed inventions relate to a platform configured for evaluating and profiling metering technologies such as water meters using information derived from a plurality of fluid meter test systems deployed in a plurality of environments and in communication with a centralized data storage system. The inventions teach the establishment of an A Posteriori Database (APD) using “laboratory data” and “field data” derived from user entries and meter tests using a network of certified fluid meter test benches where the field data is based on evaluations of meters removed from a known metering environment.

Description

TECHNICAL FIELD

The invention relates to developing a centralized data collection platform in communication with a plurality of test systems deployed in a plurality of locations for generating an A Posteriori Database (APD) used to generate performance predictions for metering technology.

BACKGROUND OF THE INVENTION

No fluid measuring device (such as a water meter and water meter test system) are ideal instruments capable of providing error-free measurements. There will always be metering errors. The best one can do is develop a measurement process that provides repeatable results and adjust such process over time to make it as accurate as possible. With regard to water meters used to measure the flow of water, every water meter, no matter its type, has limited measuring ability. Consequently, either part of the water consumption will not be registered (resulting in undercharging—lost revenue) or there ill be an over registration of the water consumption (resulting in overcharges). In either case, particularly in the area of metering water consumption, it is important to be capable of quantifying the magnitude of these measuring errors and determining what causes them so that entities that purchase such meters can make informed decisions regarding the type of meter to purchase for a particular environment. Such requires data collected from a variety of trusted sources deployed in a plurality of locations using known good data collection processes.

There are at least two basic types of data that are useful when considering the best item to purchase: (1) “laboratory” data and (2) field data. Laboratory data is simply data collected under controlled conditions. Measuring horsepower is a good example. It should be appreciated, however, horsepower values will not tell one how fast a vehicle will be on a given track. For such information, one needs field data. Field data is data collected from an item under/after normal use. Thus, laboratory data predicts how an item will work in the real world, while field data tells one how an item worked in the real world.

Currently, there is a general lack of organized information regarding laboratory data and field data with regard to water meters that could be used to provide insight into the real effect of environmental parameters on the performance of water meters. Such information would allow water utility personnel responsible for selecting metering technology to evaluate or estimate water meter accuracy for a target environment. Further, what has been clearly indicated form experiments and real-life experience is that not every water meter has the same sensitivity to the environmental parameters that affect meter accuracy over time. Thus, it is not only important to select the most adequate metering technology type (based on laboratory data/manufacturer specifications) but also the right construction that best suits the target environment (i.e. the specific characteristics of the water supply system).

What is needed is a data collection system comprising both field and laboratory data related to the factors that can affect water meter accuracy for both, domestic and industrial meter types. One way to assemble such information is to create a centralized data storage system generated from a plurality of trusted sources using verified data collection processes and equipment in a plurality of environments.

The present invention teaches the establishment of an A Posteriori Database (APD) using “laboratory data” and “field data” derived from meter tests using a network of certified fluid meter test benches where the field data is based on evaluations of meters removed from a known metering environment.

SUMMARY OF THE INVENTION

Some of the objects and advantages of the invention will now be outlined in the following description, while other objects and advantages of the invention may be obvious from the description or may be learned through practice of the invention.

Broadly speaking, a principal object of the present invention is to provide a centralized database comprising meter data collected using a plurality of certified test systems configured for verifying the accuracy of fluid meters.

Another object of the invention is to provide a network of certified fluid meter test systems associated with a global centralized data storage system.

Still another object of the invention is to develop an A posteriori database comprising testing information for a plurality of meters deployed in a plurality of environments.

A still additional object of the invention is to generate meter profiles that include predictions for metering performance that are environment specific.

A further object of the invention is to track the individual components of metering systems and track performance and durability data for such individual components.

Additional objects and advantages of the present invention are set forth in the detailed description herein or will be apparent to those skilled in the art upon reviewing the detailed description. Also, it should be further appreciated that modifications and variations to the specifically illustrated, referenced, and discussed steps, or features hereof may be practiced in various uses and embodiments of this invention without departing from the spirit and scope thereof, by virtue of the present reference thereto. Such variations may include, but are not limited to, the substitution of equivalent steps, referenced or discussed, and the functional, operational, or positional reversal of various features, steps, parts, or the like. Still further, it is to be understood that different embodiments, as well as different presently preferred embodiments, of this invention, may include various combinations or configurations of presently disclosed features or elements, or their equivalents (including combinations of features or parts or configurations thereof not expressly shown in the figures or stated in the detailed description).

Those of ordinary skill in the art will better appreciate the features and aspects of such embodiments, and others, upon review of the remainder of the specification.

BRIEF DESCRIPTION OF THE DRAWINGS

A full and enabling description of the present subject matter, including the best mode thereof, directed to one of ordinary skill in the art, is set forth in the specification, which refers to the appended figures, in which:

FIG. 1 is a top plan view of an exemplary fluid meter test bench;

FIG. 2 is a side elevational view of an exemplary fluid meter test bench;

FIG. 3 is a block diagram representation of a plurality of test benches associated with a centralized storage system.

FIG. 4 is a top plan view of an exemplary fluid meter comprising a register and housing;

FIG. 5 is a side elevational view of the meter in FIG. 3;

FIG. 6 is a partially exploded side perspective view of an exemplary meter housing (minus the bottom plate) and internal measuring components (no register) associated with a tracking element; and

FIG. 7 is a side perspective view of an exemplary meter with a tracking element associated with the housing and register.

Repeat use of reference characters throughout the present specification and appended drawings is intended to represent the same or analogous features or elements of the present technology.

DISCLOSURE OF THE INVENTION

Detailed Description

Reference now will be made in detail to the embodiments of the invention, one or more examples of which are set forth below. Each example is provided by way of explanation of the invention, not limitation of the invention. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the scope or spirit of the invention. For instance, features illustrated or described as part of one embodiment can be used on another embodiment to yield a still further embodiment. Thus, it is intended that the present invention covers such modifications and variations as come within the scope of the appended claims and their equivalents. Other objects, features, and aspects of the present invention are disclosed in or may be determined from the following detailed description. Repeat use of reference characters is intended to represent same or analogous features, elements or steps. It is to be understood by one of ordinary skill in the art that the present discussion is a description of exemplary embodiments only and is not intended as limiting the broader aspects of the present invention.

Construction Aids

For the purposes of this document two or more items are “mechanically associated” by bringing them together or into relationship with each other in any number of ways including a direct or indirect physical “releasable connections” (snaps, screws, Velcro®, bolts, etc.—generally connections designed to be easily and frequently released and reconnected), “hard-connections” (welds, gluing, rivets, macular bonds, generally connections that one does not anticipate disconnecting very often if at all and that is “broken” to separate), and/or “moveable connections” (rotating, pivoting, oscillating, etc.).

Similarly, two or more items are “electrically associated” by bringing them together or into a relationship with each other in any number of ways including (a) a direct, indirect or inductive communication connection and (b) a direct/indirect or inductive power connection. Additionally, while the drawings may illustrate various electronic components of a system connected by a single line, it will be appreciated that such lines may represent one or more signal paths, power connections, electrical connections and/or cables as required by the embodiment of interest.

For the purposes of this document, unless otherwise stated, the phrase “at least one of A, B, and C” means there is at least one of A, or at least one of B, or at least one of C or any combination thereof (not one of A, and one of B, and one of C).

As used herein, unless stated otherwise, the terms “first,” “second,” and “third” may be used interchangeably to distinguish one component from another and are not intended to signify location or importance of the individual components.

As used herein, the terms “upstream” and “downstream” refer to the relative location of components in a fluid pathway. For example, component A is upstream of component B if fluid flows from component A to component B. Conversely, component B is downstream of component A if component B receives a fluid flow from component A.

An a posteriori database contains data based on experience or empirical evidence accumulated from testest systems. Notably, an a posteriori database may also include a priori knowledge and entries.

This document includes headers that are used for place markers only. Such headers are not meant to affect the construction of this document, do not in any way relate to the meaning of this document nor should such headers be used for such purposes.

DESCRIPTION

While the particulars of the present invention and associated technology may be adapted for use with any system configured to measure a parameter, the examples discussed herein are primarily in the context of test benches configured to verify the accuracy of fluid meters such as water meters.

Embodiments of the present invention relate to a platform 10 configured for evaluating and profiling metering technologies from information derived from a plurality of fluid meter test systems 12 deployed in a plurality of environments and in communication with a centralized data storage system 14.

It seems useful to initially consider a fluid meter test system used to collect the real-world meter data. It should be appreciated that much (but not all) of the fluid meter test bench system technology depicted in FIG. 1 and FIG. 2 has been developed over the past forty plus years by the applicant who started developing fluid meter test bench systems in the early 1980s. As is well known, fluid meters are configured to measure the volume of a fluid flowing through the meter. Utility companies use fluid meters to measure fluid consumption for billing purposes. Such fluid meters require testing to verify accuracy. A fluid meter test system pushes fluid through both a fluid Meter-Under-Test (MUT) and a very accurate “reference meter”. Restated, all the fluid that flows during a test flows through both the MUT (meter under test) and a reference meter. The reference meter is configured to generate a very accurate reference-volume reading (which is considered to be the correct reading). The MUT measures the volume of fluid that flows through its measuring chamber and generates a MUT-volume reading. Ideally, the reference-volume reading is perfectly accurate. If a MUT is also perfectly accurate, the MUT-volume reading will be identical to the reference-volume reading. How much the MUT-volume reading varies from the reference-volume reading is considered the MUT metering error. Further, a fluid meter would ideally have the same meter error at all flow rates. However, in the real world, the meter error is different depending on the flow rate and a fluid meter may measure a 2 gallons/minute flow rate more accurately than 5 gallons/minute flow rate (for example). Thus, meters are typically tested at a plurality of flow rates.

Arguably, the most accurate way to test water meters is with a gravimetric system. Thus, the “reference meter” described above is actually a gravimetric system that generates the previously described reference-volume reading. While called a gravimetric system, such a system may use both gravimetric and volumetric technologies.

Referring now to FIG. 1 and FIG. 2, an electronically controlled Test Bench System 12 configured for testing the accuracy of fluid flow meters is presented. While the fluid could be any fluid, for the embodiments discussed herein, the fluid is water. The test bench system 12 is preferably electronically controlled and comprises a control console 16 that houses control wiring, a computer, and scale interface hardware (to communicate automatically with the scales). Such components collectively define a controller 16 used to control the test bench system 12 to test fluid meters and serve as an operator interface for computerized and manually controlled tests. The test bench system 12 comprises a source tank 18 containing enough water to perform the desired test (e.g. 200 gallons). Source tank 18 is in fluid communication with a supply pump 20 that is in fluid communication with and supplies fluid to, test bench 22.

As best seen in FIG. 2, test bench 22 comprises a plurality of vertical support rails 24 mechanically associated with lower support rails 26 and upper support rails 28. Preferably, lower support rails 26 are associated with the vertical support rails 24 a predefined distance from the vertical rail endpoints 30 to provide a toe space 32. Water from source tank 18 is pumped to and through the MUT 34 and through output path 36 to a measurement tank 38, which rests on scales 40. The scales 40 are used to measure the weight of the water pumped through the MUTs 34 during the test and into the measurement tank 38 where such weight is used (at least in part) to determine a reference-volume value. Such reference-volume value is compared to that of the volumes registered on the various MUTs 34 to determine their respective accuracy.

After the reference-volume has been measured and the test is complete, the fluid in measurement tank 38 is drained via return lines 42 and returned to the source tank 18 using return pump 44 allowing the fluid to be reused in subsequent tests. One of ordinary skill in the art will appreciate, however, that the source tank 18 may be replaced with any suitable water source and the test fluid may simply be drained from the measurement tank 38 and discarded eliminating the need for return lines 42 and return pump 44.

As can be seen in FIG. 1, a plurality of MUTs 34 are connected in series, allowing the plurality of meters to be tested simultaneously. The input and output of each meter are associated with an adapter apparatus 36 which is further associated with a bench-to-apparatus interface 38 associated with a test bench flow path. Notably, the inputs and outputs of MUT 34 could be connected with a flow path defined by test bench 12 using typical prior art metering couplings; however, such requires much more work and time compared to using a specially made adapter apparatus for coupling a fluid meter to the fluid flow path of a test system.

Reviewing now more particularly to FIG. 3, an exemplary platform 10 configured for evaluating and profiling metering technologies using information derived from a plurality of fluid meter test systems 12 deployed in a plurality of environments and in communication with a centralized data storage system 14 is presented. The platform 10 comprises a plurality of test bench systems 12 characterized by test system data 48 and deployed in a plurality of environments. Each of the plurality of test bench systems 12 are configured with a controller 16 comprising a computing device 16c for automatically controlling its respective test bench system 12 to measure the accuracy of fluid meters 34. The computing device preferably defines an integral interface 16i or is in communication with an interface 16i that controls its respective test bench 22. Each controller is in communication with a centralized data storage system 14 either directly or indirectly via a device such as a webserver 50. A local user 52 with direct access to the controller 16 or remote user 54 connected to a controller 16 via a webserver 60 my conduct or monitor testing. Notably, a remote user 54 may be in communication with webserver 50 or the centralized data storage system 14 using an application executed by a device such as a smartphone.

The test system software is loaded on each computing device 16c or is operably associated with each computing device 16c (e.g. software as a service). The test software is configured to provide a user interface to allow either a local user 52 or a remote user 54 to communicate with the controller 16 components to conduct fluid meter testing and generate meter data for the meters under test 34. For this document, meter data comprises meter type data 56, meter test data 58 and meter environmental data 60. The test system software is further configured to transfer at least part of the test system data 48 and the meter data to a centralized data storage system 14 which will be described in more detail below. It should be appreciated that the test system software may be loaded locally on computer 16c or it may be software made available over a network via a “software as a service” system as well as a mixture of the two. Software as a service is simply software that is accessed over a network. The platform 10 is configured to use the centralized meter data and test system data to define a prior knowledge and derive a posterior knowledge to provide a profile for each meter tested.

As noted above, meter data comprises meter type data, meter test data, and meter environmental data.

Meter Type Data

The first data type considered is the meter type data. Exemplary meter type data is provided in Table 1 below.

TABLE 1
Meter Type Data
Name                       Description
Manufacturer               Who manufactured the meter
Manufactured Date          When the meter was manufactured
Date Placed in Service     When the meter was placed in service
Manufacturer Contact       Manufacturer website, phone contacts,
Information                electronic contacts
Meter Housing element      The material used to construct housing
                           and housing ID number
Meter Register element     Type of register and date register
                           associated with housing
Meter measurement elements Type of measurement elements and when
                           measurement elements were associated
                           with housing
Meter transmitter element  If a transmitter is present, transmitter
                           identifying information
Meter ID                   Meter Identification Number
Meter Size                 Size of the meter
Meter Type                 Metering technology
K Factor                   Correction factor
User Defined               Any data a user might wish to record and
                           monitor

As Table 1 above indicates, there are many meter parameters that fall under meter type data including a housing element identifier, a measuring element identifier, a register identifier, and a transmitter identifier.

Referring now to FIG. 4 through FIG. 7, one feature of the disclosed technology includes optional tracking of meter components (i.e. sub-components). For example, as depicted in FIG. 4 through FIG. 6, for a typical water meter, such meter can be described as having three major components: (1) Housing element 62, (b) Register element 64; and (c) measuring element 66. For one embodiment of the disclosed invention, a tracking component 68 is associated with each meter sub-system. One advantage of tracking sub-components is the lower cost of “refurbishing” a meter. Here, a utility will only replace the sub-systems of a metering device. For example, the water meter housings 62 is not removed from service and one or more of the sub-components are changed such as register 64 and measuring element 66. The assumption is that the housing 62 is significantly more durable than the register 64 and measuring element 66 and it is significantly more expensive to remove the entire meter than to simply replace the sub-components. However, such can affect the accuracy of meter data if not tracked. Based on the example above, the register 64 and the measuring element 66 may be called “wearable” components.

Additionally, tracking sub-component performance allows for tracking of at least (a) the performance, (b) mean time between failures, and (c) expected life span of the wearable components. Such information can be used to alert the approaching end of life of a meter sub-component. Another benefit of tracking sub-components is that one is more confident as to what sub-components define a metering unit. It should be appreciated that not all sub-components are compatible with each other. For example, not all measurement components 66 are compatible with all housing elements 62 and not all registers 64 can be correctly coupled with all measurement components 66. Should the incompatible sub-components be associated in a metering unit such metering unit will provide inaccurate measurement data. Thus, for the preferred embodiment, the housing tracking item 68 can include information compatibility data for the various sub-components.

The software that uses the tracking information can be configured to scan the tracking item 68 associated with housing 62 and measurement components 66 and verify that the proper measurement components 66 are installed inside the housing 62. Similarly, the tracking element 68 associated with the register 64 can be used to verify the measurement components 66 are compatible with the register 64.

Meter Test Data

The second data type considered is the meter test data. Exemplary meter type data is provided in Table 2 below.

TABLE 2
Meter Test Data
Name                        Description
Meter Serial/ID Number      Meter identification information
Last Date Tested            Date of last test
Previous Register Reading   The number displayed by the meter's
                            register during a pervious test.
Current Register Reading    The current number displayed by the
                            meter's register.
Current Usage Data          Indicates how much fluid flow the meter
                            has measured since its last test
Running Total of Usage Data Indicates how much fluid flow the meter
                            has measured since being put into service.
Test Count                  Number of times the meter was tested for
                            the current tests
Passed/Failed               Flag indicating if meter passes or fails
Average Error               The average error defined as the difference
                            between MUTs measured volume and the
                            reference volume
Certification Status        The Certification Status of the meter

As depicted in Table 2 above, exemplary meter test data includes meter identification information, the date last tested, previous register reading, current register reading, current usage data, running total of usage data, test count, pass/fail flag, average measurement error and meter certification status.

Meter Environmental Data

Ideally, meter environmental data includes the location where the meter is installed (e.g. GPS coordinates), fluid quality data and meter mounting position. Meter environmental data can be any data related to the environment the MUT 34 was or will be subjected to during use. Table 3 below lists exemplary meter environmental data.

TABLE 3
Meter Environmental Data
Name                Description
Location            The location where the meter is installed
                    or will be installed; an example would be
                    global positioning (GPS) data;
Mounting Position   Mounting position can affect the way a
                    meter wears over time. Examples include
                    horizontal and vertical data.
Fluid Quality Data  Deposition value; suspended solid value;
                    Specific Conductance (mS/cm), pH,
                    Dissolved Oxygen (mg/l), Salinity (ppt),
                    Turbidity (NTU), Ammonium(a) (mg/l-N),
                    Nitrate (mg/l-n), Chloride (mg/l), Total
                    Dissolved Gas (mmHg), Transmissivity,
                    Ambient Light (μmol s−1 m−2), Chlorophyll
                    (μg/l);
Minimum Temperature The temperature can be provided by the
Maximum Temperature meter or a general temperature for the
Average Temperature location data.
User Defined        User Defined data

Test System Data

Test System Data is considered next. As noted above, the platform 10 comprises a plurality of test bench systems characterized by test system data. One example of a test bench system is the exemplary fluid meter test system 12 described above. Such a test system includes a collection of technologies combined to generate meter data including fluid meter accuracy data. One purpose of test system data is to allow the platform 10 to generate a meter data quality indicator/value which is an indication of the validity of the associated meter data.

Preferably, the fluid meter test system 12 has been tested and certified to comply with a predefined regulatory standard to provide traceability to such standards. Examples include the National Institute of Standards and Technology (NIST). Further, the test technicians are evaluated to verify the test technicians know how to accurately use the fluid meter test system 12. Thus, exemplary test system data includes a list of the technologies and their individual calibration status and the standard to which they are tested to verify compliance. Also, included is a list of test technicians that have been evaluated and deem to have the ability to componentry use the fluid meter test system 12.

The test system data also includes the test process the test technicians and test system have been certified for compliance. For example, the test system may be evaluated to verify that the test technicians and test system hardware and software are capable of accurately testing fluid meters to the ISO/AWWA C715 standard. Any test process may be evaluated, and a data confidence value assigned to the associated data using such a process. For example, if meter data is generated by (a) a test system with current calibrations for all hardware components (i.e. a certified test system), (b) has the latest material hardware and software upgrades and (c) is operated by verified technicians, the meter data would be given a meter data quality value of “High”. Exemplary data quality values would range from High to Medium to Low. Any suitable method for identifying data quality may be used including numbers. Such data quality value would preferably be associated with meter data transferred to the centralized data storage system for the meter under test 34.

A Posterior Database

As noted above, the platform software is configured to associate meter data with test system data in a centralized data storage system 14 to define and create an A Posterior Meter Database (APM Database) providing knowledge from observations and experience through deduction of probable causes with regard to meter performance. Such APM Database ideally provides a plurality of meter dependability and accuracy values based on real-world data from meters used in a plurality of environments from around the world. An a posteriori analysis based on such meter data includes values for the mean time between failures (MTBF), MTBF values for a particular environment, accuracy drift value, accuracy drift value for a particular environment over time and based on usage data.

While the foregoing written description of the invention enables one of ordinary skill to make and use what is considered presently to be the best mode thereof, those of ordinary skill will understand and appreciate the existence of variations, combinations, and equivalents of the specific embodiment, method, and examples herein. The invention should therefore not be limited by the above-described embodiment, method, and examples, but by all embodiments and methods within the scope and spirit of the invention as claimed.

Claims

1. A platform configured for evaluating and profiling metering technologies using information derived from a plurality of meter test bench systems deployed in a plurality of environments and in communication with a centralized data storage system, said platform comprising: a plurality of test bench systems characterized by test system data and deployed in a plurality of environments wherein each of said plurality of test bench systems are configured with a controller associated with or comprising a computing device for automatically controlling its respective test bench system to measure the accuracy of fluid meters and wherein each said controller is in communication with a centralized data storage system;controller software operably associated with each said computing device and configured to provide a user interface to allow a user to communicate with said controller to conduct fluid meter testing and generate meter data for at least one meter under test;wherein said meter data comprises meter type data, meter test data, meter environmental data;wherein said controller is configured to transfer at least part of said test system data and said meter data to said centralized data storage system; andwherein the platform is configured to provide a profile for each meter tested based on a prior knowledge and a posterior knowledge using said meter data and said test system data.

2. A platform configured for evaluating and profiling metering technologies as in claim 1, wherein said controller stores said meter data and said test system data in a local data silo in communication with said centralized data storage system.

3. A platform configured for evaluating and profiling metering technologies as in claim 2, wherein said meter environmental data comprises meter install location and at least one of fluid quality data or fluid meter mounting position.

4. A platform configured for evaluating and profiling metering technologies as in claim 3, wherein fluid quality data comprises at least three of deposition value, suspended solid value, strainer flow value, low temperature, high temperature, average temperature, specific conductance (mS/cm), pH, dissolved oxygen (mg/l), salinity (ppt), turbidity (NTU), ammonium (a) (mg/l-N), nitrate (mg/l-n), chloride (mg/l), total dissolved gas (mmHg), transmissivity, ambient light (μmol s−1 m−2), and chlorophyll (μg/l) for the fluid being metered.

5. A platform configured for evaluating and profiling metering technologies as in claim 1, wherein said meter type data comprises at least four of: meter manufacturer, meter model, meter size, register type, transmitter type, meter manufacture date and meter placed in service date.

6. A platform configured for evaluating and profiling metering technologies as in claim 1, wherein said meter type data comprises at least three of a housing element identifier, a measuring element identifier, a register identifier and a transmitter identifier.

7. A platform configured for evaluating and profiling metering technologies as in claim 1, wherein said test system data comprises the calibration status for a test bench system identifying the regulatory standard in which the test bench system is certified.

8. A platform configured for evaluating and profiling metering technologies as in claim 7, wherein said test system data comprises test technician certification status indicating the test system and test process for which said test technician is certified.

9. A platform configured for evaluating and profiling metering technologies as in claim 8, wherein said test system data comprises a data quality value based at least part on said calibration status.

10. A platform configured for evaluating and profiling metering technologies as in claim 1, wherein said meter database associates a posteriori meter values derived from an a posteriori analysis of at least part of said meter-data.

11. A platform configured for evaluating and profiling metering technologies as in claim 1, wherein said meter profile comprises an overall mean time between failure value for a meter type and mean time between failure value for a meter type for a particular environment.

12. A platform configured for evaluating and profiling metering technologies as in claim 1, wherein said meter profile comprises an overall accuracy drift value, an accuracy drift value for a particular environment and an accuracy drift value based on usage.

13. A platform configured for evaluating and profiling metering technologies, said platform comprising: a plurality of test bench systems characterized by test system data and deployed in a plurality of environments wherein each of said plurality of test bench systems is configured with a controller for automatically controlling its respective test bench system to measure the accuracy of fluid meters;controller software operably associated with each said controller and configured to provide a user interface to allow a test bench system user to communicate with said controller to conduct fluid meter testing and generate meter data for at least one meter under test;wherein said meter data comprises meter type data, meter test data, meter environmental data;wherein said controller software is further configured to transfer at least part of said test system data and said meter data to a centralized data storage system;wherein the platform is configured to generate a meter data quality value based at least in part on said test system data for each said test bench system supplying meter data to said centralized data storage system and associate said meter data quality value with the meter data being supplied; andwherein the platform is configured to provide a profile for each meter tested based said meter data, said test system data and said meter data quality value.

14. A platform configured for evaluating and profiling metering technologies as in claim 13, wherein said controller stores said meter data and said test system data in a local data silo in communication with said centralized data storage system.

15. A platform configured for evaluating and profiling metering technologies as in claim 13, wherein said meter environmental data comprises meter install location and at least one of fluid quality data and meter mounting position.

16. A platform configured for evaluating and profiling metering technologies as in claim 15, wherein fluid quality data comprises at least four of deposition value, suspended solid value, strainer flow value, low temperature, high temperature, average temperature, specific conductance (mS/cm), pH, dissolved oxygen (mg/l), salinity (ppt), turbidity (NTU), ammonium (a) (mg/l-N), nitrate (mg/l-n), chloride (mg/l), total dissolved gas (mmHg), transmissivity, ambient light (μmol s−1 m−2), and chlorophyll (μg/l) for the fluid being metered.

17. A platform configured for evaluating and profiling metering technologies as in claim 13, wherein said meter type data comprises at least four of: meter manufacturer, meter model, meter size, register type, transmitter type, meter manufacture date and meter placed in service date.

18. A platform configured for evaluating and profiling metering technologies as in claim 13, wherein said meter type data comprises at least three of a housing element identifier, a measuring element identifier, a register identifier and a transmitter identifier.

19. A platform configured for evaluating and profiling metering technologies, said platform comprising: a test bench means characterized by test system data;a controller means associated with said test bench means and configured for automatically controlling said test bench to measure the accuracy of fluid meters;wherein said controller means is further configured to provide a user interface to allow a test bench means user to communicate with said controller means to conduct fluid meter testing and generate meter data for at least one meter under test;wherein said meter data comprises meter type data, meter test data, meter environmental data;wherein said controller means is further configured to transfer at least part of said test system data and said meter data to a centralized data storage means configured to store and evaluate meter data;wherein the platform is configured to generate a meter data quality value based at least in part on said test system data for each said test bench means supplying meter data to said centralized data storage means and associate said meter data quality value with the meter data being supplied; andwherein the platform is configured to provide a profile for each meter tested based said meter data, said test system data and said meter data quality value.

20. A platform configured for evaluating and profiling metering technologies as in claim 18, wherein said controller means stores said meter data and said test system data in a local data silo in communication with said centralized data storage means.