Real time energy consumption analysis and reporting
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-017/00
G06Q-010/04
G06Q-010/06
출원번호
US-0429813
(2009-04-24)
등록번호
US-9129231
(2015-09-08)
발명자
/ 주소
Kaufman, Philip John
Walker, Marcia Elaine
출원인 / 주소
Rockwell Automation Technologies, Inc.
대리인 / 주소
Fletcher Yoder, P.C.
인용정보
피인용 횟수 :
2인용 특허 :
44
초록▼
The claimed subject matter relates to an architecture that can facilitate analysis, processing, or reporting in connection with energy consumption data and/or emissions or sustainability factors associated with an automation process. In particular, the architecture can obtain process-level or machin
The claimed subject matter relates to an architecture that can facilitate analysis, processing, or reporting in connection with energy consumption data and/or emissions or sustainability factors associated with an automation process. In particular, the architecture can obtain process-level or machine- or device-level energy consumption data collected during execution of an automation process. The data can be analyzed or processed, with general or application-specific results output to a specified recipient and/or formatted (e.g., parsed, filtered, or transformed) according to a general or application-specific scheme.
대표청구항▼
1. A system, comprising: a data processor coupled to memory retaining instructions carried out by the data processor, in operation, for: an acquisition component that, in operation, obtains energy consumption data across a plurality of locations during execution of one or more automation sub-process
1. A system, comprising: a data processor coupled to memory retaining instructions carried out by the data processor, in operation, for: an acquisition component that, in operation, obtains energy consumption data across a plurality of locations during execution of one or more automation sub-processes of an automation process configured to produce a specified product or service;an analysis component that, in operation, generates processed data based on the energy consumption data, wherein the processed data characterizes the energy consumption data as a function of at least one operational parameter of the one or more automation sub-processes, wherein the at least one operational parameter comprises a process scheduling parameter comprising a plurality of timetables of engagement for a plurality of machines executing the one or more automation sub-processes, wherein each of the plurality of timetables of engagement is associated with a different amount of energy consumed by the one or more automation sub-processes; anda machine control component that, in operation, controls the plurality of machines executing the one or more automation sub-processes of the automation sub-process according to one of the plurality of timetables of engagement, wherein the one of the plurality of timetables of engagement is selected based on the processed data characterized as a function of the at least one operational parameter and the different amount of energy consumed by the one or more automation sub-processes. 2. The system of claim 1, wherein the automation process comprises a discrete process or a batch process. 3. The system of claim 1, wherein the at least one operational parameter comprises at least one of a run-time parameter that relates to configuration of at least one of the plurality of machines machine employed during the at least one of the one or more automation sub-processes, a production modulation parameter that relates to modification of the at least one of the one or more automation sub-processes or a predetermined schedule thereof, or any combination thereof. 4. The system of claim 1, wherein the machine control component, in operation, employs the at least one operational parameter and a process control algorithm to determine an update to the one or more automation sub-processes based upon a state of the energy consumption data, the processed data, or any combination thereof. 5. The system of claim 4, wherein the machine control component determines the update based upon at least one environmental factor. 6. The system of claim 4, wherein the machine control component determines the update based upon at least one emission factor in connection with the automation process. 7. The system of claim 4, wherein the machine control component determines the update to the one or more automation sub-processes based upon a sustainability factor in connection with the automation process. 8. The system of claim 7, wherein the sustainability factor pertains to at least one of an energy provider, raw materials, waste, effluent, worker safety, corporate policy, fair labor policy, or regulatory mandates. 9. The system of claim 1, wherein the at least one operational parameter is configured to adjust at least one operation of the at least one of the one or more automation sub-processes, wherein the at least one adjusted operation affects the amount of energy consumed by the one or more automation sub-processes. 10. The system of claim 1, comprising a reporting component that, in operation, generates a bill of materials that itemizes the one or more automation sub-processes used to produce the specified product or service, and a respective portion of the energy consumption data, a respective portion of the processed data, or any combination thereof directly associated with a respective automation sub-process. 11. The system of claim 10, wherein the reporting component formats and outputs the bill of materials by way of email, electronic message, printer, or a human-machine interface (HMI). 12. The system of claim 11, wherein the bill of materials is transmitted to at least one of an authorized network address, a graphical display associated with the HMI, a data store, or a decision tree of an industrial control configuration. 13. A method, comprising: employing a data processor for executing the following instructions stored on a computer readable medium: receiving energy consumption data associated with one or more components of one or more industrial automation sub-processes of an industrial automation process during execution of the one or more industrial automation sub-processes;characterizing the energy consumption data as a function of at least one operational parameter of at least one of the one or more industrial automation sub-processes, wherein the at least one operational parameter comprises a process scheduling parameter comprising a plurality of timetables of engagement for the one or more components, wherein each of the plurality of timetables of engagement is associated with a different amount of energy consumed by the one or more components of the at least one of the one or more industrial automation sub-processes;storing the characterized energy consumption data in memory; andcontrolling the one or more components according to one of the plurality of timetables of engagement by selecting the one of the plurality of timetables of engagement based on the processed data characterized as a function of the at least one operational parameter and the different amount of energy consumed by the one or more components of the one or more industrial automation sub-processes. 14. The method of claim 13, further comprising outputting, during execution of the at least one of the one or more industrial automation sub-processes, a bill of materials report that itemizes the at least one of the one or more industrial automation sub-processes and component parts, raw materials, and a respective portion of the characterized energy consumption data that correspond to the at least one of the one or more industrial automation sub-processes. 15. The method of claim 13, further comprising facilitating real-time process modification to the at least one of the one or more industrial automation sub-processes as a function of a sustainability benefit associated with the industrial automation process. 16. A non-transitory, computer-readable medium comprising computer executable code comprising instructions configured to: acquire device-level energy consumption data, water consumption data, or any combination thereof for a set of devices associated with one or more industrial automation sub-processes of an industrial automation process during execution of the industrial automation process;analyze, during execution of the industrial automation process, the device-level energy consumption data, the water consumption data, or any combination thereof as a function of at least one operational parameter of the one or more industrial automation sub-processes, wherein the at least one operational parameter comprises a process scheduling parameter comprising a plurality of timetables of engagement for the set of devices, wherein each of the plurality of timetables of engagements is associated with a different amount of energy or water consumed by at least a portion of the one or more industrial automation sub-processes;control the set of devices according to one of the plurality of timetables of engagement by selecting the one of the plurality of timetables of engagement based on the analyzed energy consumption data, the water consumption data, or any combination thereof and the different amount of energy or water consumed by the at least a portion of the one or more industrial automation sub-processes; andreport, during execution of the industrial automation process, a relevant portion of the analyzed device-level water consumption data to a recipient, wherein the relevant portion of the analyzed device-level water consumption data is reported as a bill of materials that itemizes the at least a portion of the one or more industrial automation sub-processes and respective component parts, respective raw materials, and a respective portion of the analyzed device-level water consumption data that correspond to the at least a portion of the industrial automation sub-processes. 17. The non-transitory, computer-readable medium of claim 16, comprising instructions configured to modulate the at least a portion of the one or more industrial automation sub-processes or a disparate automation process for facilitating a desired change in the device-level energy consumption, the water consumption, or any combination thereof. 18. The non-transitory, computer-readable medium of claim 17, comprising instructions configured to receive an input describing the desired change or the modulating of the at least a portion of the one or more industrial automation sub-processes. 19. The system of claim 16, wherein the at least one operational parameter is configured to adjust at least one operation of the at least a portion of the one or more industrial automation sub-processes, wherein the at least one adjusted operation affects an amount of energy consumed by the at least a portion of the one or more industrial automation sub-processes. 20. The system of claim 16, wherein the at least one operational parameter comprises at least one of a run-time parameter that relates to configuration of a machine employed during the one or more automation sub-processes, a production modulation parameter that relates to modification of the one or more automation sub-processes or a predetermined schedule thereof, or any combination thereof.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (44)
Tan Heng-Wei Osbert ; Vines ; Jr. Donald H., Advanced process control for semiconductor manufacturing.
Hazama Kensuke ; Huang Liang-Yu, Apparatus and method for integrating intelligent manufacturing system with expert sheet metal planning and bending syst.
Pant Sangam ; Andre David L. ; Watson Gray ; Green Richard M. ; Schiegg Michael J., Computer system with user-controlled relevance ranking of search results.
Eryurek, Evren; Borgeson, Dale W.; Peluso, Marcos; Rome, Gregory H.; Roper, Weston R., Diagnostics for industrial process control and measurement systems.
Redgate Robert E. ; Carson Anthony R. ; Collins Michael T. ; Lam Kiet Q. ; Ketron Dustin P. ; Toland Donald L., Information and control communication over power lines.
Reifman, Jaques; Feldman, Earl E.; Wei, Thomas Y. C.; Glickert, Roger W., Intelligent emissions controller for substance injection in the post-primary combustion zone of fossil-fired boilers.
Kramer Glenn A. (Austin TX) Barrow Harry G. (Brighton MI GB2) Turner Patrick R. (Davisburg MI) Bodner Michael E. (Southfield MI) Cooper Jeffrey G. (Pinckney MI), Method and apparatus for design and optimization for simulation of motion of mechanical linkages.
Lueckenotte Donald L. (Blue Springs MO) Kaltenbach Robert P. (Mission KS), Method and apparatus for optimizing power consumption in an electrostatic precipitator.
Hammer Jeffrey M. (New Brighton MN) Ullestad David C. (St. Louis Park MN) Wesoloski Stephen J. (Eagan MN), Method and apparatus for power load shedding.
Katayanagi Takahiro,JPX ; Mihara Katsufumi,JPX ; Takahashi Naoki,JPX ; Ishibashi Akira,JPX ; Soga Shuji,JPX ; Kusuzaki Tetsuo,JPX, Method for managing life cycles and system for the same.
Bagepalli, Srinivas Krishnasnamy; DeRose, Lynn Ann; Hung, Stephen Lan-Sun; Kim, Bang Mo; Wight, Tara Healy; Salvo, Joseph James, Methods and systems for energy and emissions monitoring.
von der Osten Claus,DKX ; Cherry Joel R. ; Bjornvad Mads E.,DKX ; Vind Jesper,DKX ; Rasmussen Michael Dolberg,DKX, Process for removal or bleaching of soiling or stains from cellulosic fabric.
Courts Howard R. ; Dholakia Neil K. ; Dunn Craig L. ; Huddleston Brian J. ; Huddleston Erik L. ; Macartney-Filgate Bruce C. ; McHyde Timothy J. ; Poorte Jacob, System and method for maintaining a state for a user session using a web system having a global session server.
Bartone, Erik J.; Mendenhall, Jr., Ernest L.; McClutchy, Jr., John H.; Patel, Devang N., System and method for monitoring and controlling energy usage.
Loshing Clement T. (17836 Lake Rd. Lakewood OH 44107) Thompson Ralph J. (2399 W. Sprague Rd. Broadview Heights OH 44147), System for monitoring, transmitting and conditioning of information gathered at selected locations.
Jolliffe Jennifer Anne Jones (Franklin MI) Vedapudi Manu (Canton MI) Devlin Shaun Stephen (Bloomfield Hills MI) Louch Robert Jay (Walled Lake MI), Vendor-neutral integrated vehicle electrical design and analysis system and method.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.