MX2016006764A - Metodo y sistema para controlar procesos dinamicos con base en un modelo artificialmente inteligente usando agentes probabilisticos. - Google Patents

Metodo y sistema para controlar procesos dinamicos con base en un modelo artificialmente inteligente usando agentes probabilisticos.

Info

Publication number
MX2016006764A
MX2016006764A MX2016006764A MX2016006764A MX2016006764A MX 2016006764 A MX2016006764 A MX 2016006764A MX 2016006764 A MX2016006764 A MX 2016006764A MX 2016006764 A MX2016006764 A MX 2016006764A MX 2016006764 A MX2016006764 A MX 2016006764A
Authority
MX
Mexico
Prior art keywords
agents
probabilistic
based control
dynamic processes
artificially intelligent
Prior art date
Application number
MX2016006764A
Other languages
English (en)
Inventor
Watson Jeff
Original Assignee
Adept Ai Systems Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from CA2835505A external-priority patent/CA2835505C/en
Priority claimed from US14/092,803 external-priority patent/US9645575B2/en
Application filed by Adept Ai Systems Inc filed Critical Adept Ai Systems Inc
Publication of MX2016006764A publication Critical patent/MX2016006764A/es

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/048—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0286—Modifications to the monitored process, e.g. stopping operation or adapting control
    • G05B23/0294—Optimizing process, e.g. process efficiency, product quality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Feedback Control In General (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Un sistema y método para controlar un proceso, tal como un proceso de producción petrolera (2) se describe. El sistema comprende múltiples agentes inteligentes para el procesamiento de datos (3) recibidos de una pluralidad de sensores desplegados en un sitio de trabajo de un pozo petrolero, y aplica un modelo probabilístico (4) para evaluar el riesgo y recomienda las acciones de control apropiadas para el proceso.
MX2016006764A 2013-11-27 2014-11-27 Metodo y sistema para controlar procesos dinamicos con base en un modelo artificialmente inteligente usando agentes probabilisticos. MX2016006764A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CA2835505A CA2835505C (en) 2013-11-27 2013-11-27 Method and apparatus for artificially intelligent model-based control of dynamic processes using probabilistic agents
US14/092,803 US9645575B2 (en) 2013-11-27 2013-11-27 Method and apparatus for artificially intelligent model-based control of dynamic processes using probabilistic agents
PCT/CA2014/051139 WO2015077890A1 (en) 2013-11-27 2014-11-27 Method and system for artificially intelligent model-based control of dynamic processes using probabilistic agents

Publications (1)

Publication Number Publication Date
MX2016006764A true MX2016006764A (es) 2016-12-16

Family

ID=53198156

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016006764A MX2016006764A (es) 2013-11-27 2014-11-27 Metodo y sistema para controlar procesos dinamicos con base en un modelo artificialmente inteligente usando agentes probabilisticos.

Country Status (5)

Country Link
EP (1) EP3074824B8 (es)
JP (1) JP6751021B2 (es)
CN (1) CN105900022A (es)
MX (1) MX2016006764A (es)
WO (1) WO2015077890A1 (es)

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CN106321071B (zh) * 2016-08-31 2020-04-21 中国石油集团东方地球物理勘探有限责任公司 一种抽油机生产参数优化方法
CN106354521A (zh) * 2016-10-26 2017-01-25 安徽扬远信息科技有限公司 一种基于sprint迭代的软件开发方法
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CN108508856B (zh) * 2018-03-28 2020-09-22 西安西电电气研究院有限责任公司 一种工业设备智能控制系统及方法
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Also Published As

Publication number Publication date
EP3074824B1 (en) 2019-05-15
EP3074824A1 (en) 2016-10-05
JP6751021B2 (ja) 2020-09-02
EP3074824A4 (en) 2017-07-26
CN105900022A (zh) 2016-08-24
WO2015077890A1 (en) 2015-06-04
EP3074824B8 (en) 2019-08-14
JP2016538645A (ja) 2016-12-08

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