MX2022011728A - Dispositivo de monitoreo de proceso, metodo de monitoreo de proceso y programa. - Google Patents
Dispositivo de monitoreo de proceso, metodo de monitoreo de proceso y programa.Info
- Publication number
- MX2022011728A MX2022011728A MX2022011728A MX2022011728A MX2022011728A MX 2022011728 A MX2022011728 A MX 2022011728A MX 2022011728 A MX2022011728 A MX 2022011728A MX 2022011728 A MX2022011728 A MX 2022011728A MX 2022011728 A MX2022011728 A MX 2022011728A
- Authority
- MX
- Mexico
- Prior art keywords
- process monitoring
- statistical amount
- calculation unit
- amount calculation
- variables
- Prior art date
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Classifications
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- 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
- G05B19/00—Program-control systems
- G05B19/02—Program-control systems electric
- G05B19/04—Program control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/058—Safety, monitoring
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- 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
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/006—Regulation methods for biological treatment
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/02—Aerobic processes
- C02F3/12—Activated sludge processes
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/02—Aerobic processes
- C02F3/12—Activated sludge processes
- C02F3/1205—Particular type of activated sludge processes
- C02F3/121—Multistep treatment
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/30—Aerobic and anaerobic processes
- C02F3/308—Biological phosphorus removal
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/005—Processes using a programmable logic controller [PLC]
- C02F2209/006—Processes using a programmable logic controller [PLC] comprising a software program or a logic diagram
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/02—Temperature
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/04—Oxidation reduction potential [ORP]
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/06—Controlling or monitoring parameters in water treatment pH
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/08—Chemical Oxygen Demand [COD]; Biological Oxygen Demand [BOD]
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/10—Solids, e.g. total solids [TS], total suspended solids [TSS] or volatile solids [VS]
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/14—NH3-N
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/16—Total nitrogen (tkN-N)
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/18—PO4-P
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/22—O2
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/40—Liquid flow rate
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- 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
- G05B2219/00—Program-control systems
- G05B2219/10—Plc systems
- G05B2219/14—Plc safety
- G05B2219/14006—Safety, monitoring in general
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Biodiversity & Conservation Biology (AREA)
- Computational Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Water Supply & Treatment (AREA)
- Organic Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Microbiology (AREA)
- Hydrology & Water Resources (AREA)
- Algebra (AREA)
- Automation & Control Theory (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Probability & Statistics with Applications (AREA)
- Operations Research (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
Se provee un dispositivo de monitoreo de proceso, un método de monitoreo de proceso y un programa capaz de excluir/agregar datos adquiridos por un sensor específico de un objetivo monitoreado/diagnosticado sin reconstruir un modelo de diagnóstico. El dispositivo de monitoreo de proceso de la modalidad incluye una unidad de recopilación de datos, una unidad de cálculo de estadística y una unidad de cálculo de estadística global. La unidad de recopilación de datos adquiere dos o más variables que indican el estado del objetivo monitoreado. La unidad de cálculo de estadística genera una estadística para cada una de todas las combinaciones en las que se seleccionan dos de las variables adquiridas. La unidad de cálculo de estadística global genera una estadística global que indica el estado del objetivo monitoreado en función de la estadística generada por la unidad de cálculo de estadística.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020073109 | 2020-04-15 | ||
| PCT/JP2021/015627 WO2021210654A1 (ja) | 2020-04-15 | 2021-04-15 | プロセス監視装置、プロセス監視方法及びプログラム |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2022011728A true MX2022011728A (es) | 2022-10-13 |
Family
ID=78081727
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2022011728A MX2022011728A (es) | 2020-04-15 | 2021-04-15 | Dispositivo de monitoreo de proceso, metodo de monitoreo de proceso y programa. |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20210325842A1 (es) |
| JP (2) | JP7379671B2 (es) |
| MX (1) | MX2022011728A (es) |
| WO (1) | WO2021210654A1 (es) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111796576B (zh) * | 2020-06-16 | 2023-03-31 | 北京工业大学 | 一种基于双核t分布随机近邻嵌入的过程监测可视化方法 |
| JP7767928B2 (ja) * | 2022-01-06 | 2025-11-12 | 富士電機株式会社 | データ可視化装置、データ可視化方法、及びプログラム |
| JP7726083B2 (ja) | 2022-01-25 | 2025-08-20 | オムロン株式会社 | 制御装置および制御方法 |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7363195B2 (en) * | 2004-07-07 | 2008-04-22 | Sensarray Corporation | Methods of configuring a sensor network |
| JP5220929B2 (ja) * | 2010-01-28 | 2013-06-26 | 日立建機株式会社 | 作業機械の監視診断装置 |
| JP5813317B2 (ja) * | 2010-12-28 | 2015-11-17 | 株式会社東芝 | プロセス状態監視装置 |
| JP6841589B2 (ja) * | 2015-09-25 | 2021-03-10 | 三菱重工業株式会社 | 異常予兆監視システム |
| JP6609689B2 (ja) * | 2016-03-15 | 2019-11-20 | 株式会社日立製作所 | 異常診断システム |
| JP6915693B2 (ja) * | 2017-10-10 | 2021-08-04 | 日本電気株式会社 | システム分析方法、システム分析装置、および、プログラム |
| JP6887361B2 (ja) * | 2017-10-31 | 2021-06-16 | 三菱重工業株式会社 | 監視対象選定装置、監視対象選定方法、およびプログラム |
| JP2019133454A (ja) * | 2018-01-31 | 2019-08-08 | 大陽日酸株式会社 | 装置の異常検出方法 |
| US11220437B2 (en) * | 2018-12-24 | 2022-01-11 | Ecometales Limited | Procedure for obtaining scorodite with a high arsenic content from acidic solutions with high content of sulfuric acid |
-
2021
- 2021-04-14 US US17/229,935 patent/US20210325842A1/en not_active Abandoned
- 2021-04-15 JP JP2022515438A patent/JP7379671B2/ja active Active
- 2021-04-15 MX MX2022011728A patent/MX2022011728A/es unknown
- 2021-04-15 WO PCT/JP2021/015627 patent/WO2021210654A1/ja not_active Ceased
-
2023
- 2023-11-01 JP JP2023187791A patent/JP2024001315A/ja active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021210654A1 (ja) | 2021-10-21 |
| JPWO2021210654A1 (es) | 2021-10-21 |
| US20210325842A1 (en) | 2021-10-21 |
| JP7379671B2 (ja) | 2023-11-14 |
| JP2024001315A (ja) | 2024-01-09 |
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