Utility companies deliver a wide range of resources to customers. These resources include fuel gas for heat, hot water, and cooking. It is normal for the utility to install its own equipment on site to measure consumption of the fuel gas. This equipment often includes a gas meter to measure or “meter” an amount of fuel gas the customer uses (so the utility can provide an accurate bill). Likely, the gas meter is subject to certain “legal metrology” standards that regulatory bodies promulgate under authority or legal framework of a given country or territory. These standards are in place to ensure the gas meter provides accurate and repeatable data, essentially to protect consumers from inappropriate billing practices. In the past, gas meters made use of mechanical “counters” to meter consumption of fuel gas. These mechanisms could leverage flow of the fuel gas into an essentially immutable measure of consumption. Advances in technology allow for electronics to replace these mechanisms. These electronics can provide even more accurate data, both for billing and for use in diagnostics of device health and the like. But, despite these benefits, failures in the electronics or disruptions to power necessary for these devices to operate may result in loss of data that frustrates accurate measures of consumption and, consequently, may lead to unnecessary disputes with customers and lost revenue.
The subject matter of this disclosure relates to improvements to ensure that metrology hardware may continue to record data in lieu of power on the device. Of particular interest herein are embodiments that can concomitantly generate data and energy from mechanical movement on the device. This mechanical movement may correspond with mechanisms, like counter-rotating impellers, that leverage positive displacement as means to measure precisely the volume of fuel gas.
Reference is now made briefly to the accompanying figures, in which:
Where applicable like reference characters designate identical or corresponding components and units throughout the several views, which are not to scale unless otherwise indicated. The embodiments disclosed herein may include elements that appear in one or more of the several views or in combinations of the several views. Moreover, methods are exemplary only and may be modified by, for example, reordering, adding, removing, and/or altering the individual stages.
This discussion describes embodiments with hardware to harvest energy. The embodiments may include devices that can meter flow of materials. These devices include gas meters, which this discussion uses to illustrate the concepts herein. The hardware integrates into the gas meter to maintain data that might otherwise be lost due to problems with power or electronics. Other embodiments are with the scope of this disclosure.
Broadly, the encoder device 100 is configured to generate redundant data in lieu of power or other disruptions on the metrology hardware 102. These configurations can essentially “back-up” data that corresponds to precise volume of material that flows through the metrology hardware 102. This feature outfits the metrology hardware 102 to maintain consistent records of consumer consumption, even with power disruptions or outages that might normally foreclose activities by the metrology hardware 102 to collect and retain data of this type.
The metrology hardware 102 may be configured to measure or “meter” flow of material. These configurations often find use in residential and commercial locations to quantify demand for resource 104 at a customer. It is possible that metrology hardware 102 is found in custody transfer or like inventory management applications as well. For purposes of this discussion, resource 104 may be fuel gas (like natural gas); but the metrology hardware 102 may measure consumption of other solid, fluids (e.g., water), and solid-fluid mixes. The conduit 106 may embody pipes or pipelines. These pipes may form part of a distribution network that distributes fuel gas 104 to customers. The distribution network may employ intricate networks of piping that cover vast areas of towns or cities with hundreds or thousands customers. In most cases, utilities maintain responsibility for upkeep, maintenance, and repair of the gas meter 102. Notably, this disclosure contemplates use of more than one of encoder device 100 on the gas meter 102.
The units 108, 110 may be configured to cooperate to generate data that defines consumption of fuel gas 104. These configurations may embody standalone devices that connect with one another to exchange data or other information. Electronics on the indexing unit 108 may process the digital signal S1. These electronics may reside inside a plastic or composite housing that attaches or secures to parts of the metering unit 110. These parts may be part of a cast or machined body, preferably metal or metal-alloy, which mates with the conduit 106 to receive fuel gas 104. This “meter” body may enclose flow mechanics 112, for example, mechanisms that move in response to flow of fuel gas 104 from inlet to outlet on the meter body. Exemplary mechanisms may embody counter-rotating impellers, diaphragms, or like devices with movement that can coincide with a precise volume of the fuel gas 104; but this disclosure contemplates others as well.
The data processing unit 114 may be configured to quantify flow parameters for fuel gas 104. These configurations may employ computing devices that process data to generate values, like volumetric flow, flow rate, velocity, energy, and the like. These processes may also account for (or “correct for”) conditions that prevail at the gas meter 102. These conditions may describe characteristics of fuel gas 104 or the environment, including ambient temperature, absolute pressure, differential pressure, and relative humidity, among others. The processes may use data for these characteristics to ensure accurate and reliable values for billing customers.
The interface unit 116 may be configured to generate data for use to determine volumetric flow. These configurations may include a device that can couple with impellers 112. This device may include hardware that “talks” with corresponding hardware that co-rotates with the impellers 112. This feature may leverage non-contact modalities or technology, like magnetics, ultrasonics, or piezoelectrics; however, this disclosure does contemplates technologies not yet developed as well. In one implementation, the metering unit 110 may include one or more magnets that co-rotate with the impellers 112. The rotation may change a magnetic field to simulate corresponding devices of the interface unit 116 to generate the signals D1, P1 noted herein.
The units 118, 120 may be configured to convert rotation of the impellers 112 into useable form. On the sensor unit 118, these configurations may include hardware that leverages the “Wiegand effect” to generate the data signal D1, for example, as output voltage or “pulses” that track with each rotation of magnets that occurs concomitantly with rotation of the impellers 112. The power unit 120 may embody hardware that can generate energy in response to the co-rotating magnets as well. This hardware may embody a device with a thin wire conductor that wraps around a solid or hollow magnetic core, but other configurations may prevail as well. For both units 118, 120, this disclosure contemplates other types of devices known now or hereinafter developed.
Other data found on memory 132 may also prove useful for operation of the gas meter 102. The data may embody correction data 140, for example, data that functionality of the processor 128 may use to compensate for low-flow conditions that occur across the metering unit 112. The data may include “logged” data that functionality of the processor 128 actively stores or reads to the memory 132. This logged data may embody measured data 142, typically data that defines values for temperature, pressure, or like variables. These values may originate from sensors on or in proximity to the gas meter 102. The logged data may also include calculated data 144, for example, data that defines values for flow parameters of fuel gas 104. These values may quantify flow, volume, and like parameters that are useful to generate accurate, reliable data that defines volumetric flow of fuel gas 104 to satisfy customer demand. In one implementation, functionality of the processor 128 may also create event data 146 that captures or defines operating conditions on the gas meter 102. For example, the event data 146 may identify issues or problems on the device, effective consumer demand, as well as replacement or maintenance that occurs on the device. Still other data may prove useful to identify the gas meter 102. This data may embody identifying data 148, often values that serve to distinguish the gas meter 102, or its hardware, from others. These values may include serial numbers, model numbers, or software and firmware versions. For security and integrity, the values may include cyclic redundancy check (CRC) numbers, check-sum values, hash-sum values, or the like. These values can deter tampering to ensure that the encoder device 100 or gas meter 102 will meet legal and regulatory requirements for purposes of metering fuel gas 104.
In view of the foregoing, the improvements herein outfit flow devices, like gas meters, with hardware to capture and retain redundant data. This hardware uses operative movements on the gas meter to both harvest energy and generate data that relates to volume flow. The energy is useful to power computing components to store this data in memory, preferable non-volatile. This feature creates a retrievable store of raw volume (or flow) data. Utilities can access the raw data to re-create or corroborate customer consumption for periods of operation that occur during power “outage” or disruption on the gas meter. As a result, the utility can avoid potential issues with accuracy and reliability at time of billing customers.
Topology for circuitry herein may leverage various hardware or electronic components. This hardware may employ substrates, preferably one or more printed circuit boards (PCB) with interconnects of varying designs, although flexible printed circuit boards, flexible circuits, ceramic-based substrates, and silicon-based substrates may also suffice. A collection of discrete electrical components may be disposed on the substrate, effectively forming circuits or circuitry to process and generate signals and data. Examples of discrete electrical components include transistors, resistors, and capacitors, as well as more complex analog and digital processing components (e.g., processors, storage memory, converters, etc.). This disclosure does not, however, foreclose use of solid-state devices and semiconductor devices, as well as full-function chips or chip-on-chip, chip-on-board, system-on chip, and like designs. Examples of a processor include microprocessors and other logic devices such as field programmable gate arrays (“FPGAs”) and application specific integrated circuits (“ASICs”). Memory includes volatile and non-volatile memory and can store executable instructions in the form of and/or including software (or firmware) instructions and configuration settings. Although all of the discrete elements, circuits, and devices function individually in a manner that is generally understood by those artisans that have ordinary skill in the electrical arts, it is their combination and integration into functional electrical groups and circuits that generally provide for the concepts that are disclosed and described herein.
This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. An element or function recited in the singular and proceeded with the word “a” or “an” should be understood as not excluding plural said elements or functions, unless such exclusion is explicitly recited. References to “one embodiment” of the claimed invention should not be interpreted as excluding the existence of additional embodiments that also incorporate the recited features. Furthermore, the claims are but some examples that define the patentable scope of the invention. This scope may include and contemplate other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements with insubstantial differences from the literal language of the claims.
Examples appear below that include certain elements or clauses one or more of which may be combined with other elements and clauses describe embodiments contemplated within the scope and spirit of this disclosure.
This application is a continuation-in-part of U.S. patent application Ser. No. 15/356,594, filed on Nov. 20, 2016, and entitled “MODULAR METERING SYSTEM,” which is a continuation-in-part U.S. patent application Ser. No. 14/301,986, filed on Jun. 11, 2014, and entitled “SYSTEMS, DEVICES, AND METHODS FOR MEASURING AND PROCESSING FUEL METER MEASUREMENTS,” now U.S. Pat. No. 9,874,468, which claims the benefit of U.S. Provisional Application Ser. No. 61/835,497, filed on Jun. 14, 2013, and entitled “DIGITAL METER BODY MODULE FOR ROTARY GAS METER.” The content of these applications is incorporated herein in its entirety.
Number | Date | Country | |
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61835497 | Jun 2013 | US |
Number | Date | Country | |
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Parent | 15356594 | Nov 2016 | US |
Child | 16147785 | US | |
Parent | 14301986 | Jun 2014 | US |
Child | 15356594 | US |