WO2017042780A1 - Système et procédé permettant la détection d'alertes et la correction d'erreurs dans des processus industriels - Google Patents

Système et procédé permettant la détection d'alertes et la correction d'erreurs dans des processus industriels Download PDF

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Publication number
WO2017042780A1
WO2017042780A1 PCT/IB2016/056373 IB2016056373W WO2017042780A1 WO 2017042780 A1 WO2017042780 A1 WO 2017042780A1 IB 2016056373 W IB2016056373 W IB 2016056373W WO 2017042780 A1 WO2017042780 A1 WO 2017042780A1
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WO
WIPO (PCT)
Prior art keywords
alert
control law
sensors
database
reference values
Prior art date
Application number
PCT/IB2016/056373
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English (en)
Inventor
Ignacio CHANG
Nicholas BELIZ
Mauricio Martinez
Edgardo SANTANA
Original Assignee
Universidad Tecnológica De Panamá
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.)
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Publication date
Application filed by Universidad Tecnológica De Panamá filed Critical Universidad Tecnológica De Panamá
Publication of WO2017042780A1 publication Critical patent/WO2017042780A1/fr

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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
    • 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

Definitions

  • the present invention is included in the field of automated systems for detection of risk alerts and alarms in industrial environments and correction of the errors detected.
  • Patent document US20070049259-A1 discloses a portable communication device with an evacuation route display system to guide a user to a safe area in emergency situation. The system also shows emergency information. This invention transmits the alert to multiple devices; however, it is limited to the detection of smoke or certain gases, indicating an evacuation route.
  • Patent US7181 192-B2 presents an automated alert signal, which is composed of a portable communication device connected to the wireless telecommunication network wireless, a dynamic sensor which generates acceleration profiles of the device processes and a memory to store the generated profile. Additionally, this system allows verifying if the profile is already stored, to determine if it is necessary to notify the event to one or several emergency centres. This invention is limited to communication of the emergency to an alert attention centre.
  • Patent document US20070275690-A1 discloses a method for disseminating emergency notification from a source. The method sends the notification with the emergency content of the source to at least one transmitting party, selecting a subset of users for the dissemination of the emergency notification from the transmitting party, to the corresponding devices of the selected users.
  • Patent document US4257038-A presents an electronic security system for sending to various devices of coded intrusions and emergency signals for an alarm station.
  • the alarm station decodes the intrusion signal, producing an alert from an alarm generator.
  • the electronic alarm controls discriminate the intrusions from other alarm signals, blocking or delaying the intrusion signals, allowing the entry or exit from the protected area.
  • the alarm control also presents alarm warning according to the alarm priority, the signals are received to allot the authorized input and provides disarming signals if they are not cancelled by a second coded transmission.
  • Patent US7714733-B2 consists of a risk alarm and includes a hazard alarm notification system and a signal detector that detects the alert messages from an external source.
  • the hazard alarm system processes the alert message, emitting an alert through notifications.
  • This risk alarm system determines if, how, where and/or when the alert is emitted from the alarm system using the notification appliance.
  • Patent document CN201020530731 discloses a security monitoring system in the home based on a network of wireless sensors that use the master/slave configuration to obtain the information, which is then shown in a computer.
  • Utility model CN202661822U uses a master/slave configuration in the control and monitoring of aquafarming systems. To do this, it uses embedded systems based on ARM microprocessors. The system includes the implementation of multiple sensors, which send their information to a slave node and this sends it to a master module.
  • the present invention relates to a system and method for the detection of alerts and correction of errors using artificial intelligence paradigms.
  • the system for the detection of alerts and correction of errors in industrial processes comprises a sensorial unit with a plurality of sensors and a transmitter responsible for sending the data measured by the sensors to an alert activation unit.
  • the alert activation unit is configured to compare the data measured by the sensors with reference values, determine in accordance with said comparison if there is an alert situation, and should an alert situation exist generate an alert signal (7) with the indication of the error produced.
  • a control unit comprising a control law database where control laws are stored, is configured to, in the event of reception of an alert signal, consult the control law database to verify if the error defined in the alert signal can be corrected using an already existing control law. If there is not an already existing control law to resolve the error, the control unit generates a new control law using artificial intelligence techniques, and it stores said control law generated in the control law database. Finally, the control unit applies the existing or generated control law.
  • the alert activation unit may comprise a database of reference values where the reference values of the sensors are stored.
  • the alert activation unit may comprise a memory where the data measured by the sensors are stored.
  • the alert activation unit may comprise a comparator module responsible for comparing the data measured by the sensors with the reference values.
  • a second aspect of the present invention relates to a method for the detection of alerts and correction of errors in industrial processes.
  • the method comprises:
  • control unit a control law database to verify if the error defined in the alert signal can be corrected using an already existing control law.
  • the present invention is based on display systems integrating artificial intelligence for the formation of an autonomous system, developed in web environments, and adaptable to devices currently used, and thus be able to monitor and verify the alarms of a system being monitored and controlled.
  • the system verifies the database of the readings in real time and compares it with the previous readings of the system which are suggested as ideal. Likewise, it seeks an ideal operation not contemplated in the reference database.
  • the control law is generated per the artificial intelligence paradigms.
  • the present invention comprises a sensorial unit which captures the sensitive information transmitted by any of the current media (wireless, via internet, Ethernet, etc.) to an alert activation unit, where it is stored in a database. In this last unit it compares, according to different artificial intelligence paradigms, the data received from the sensorial unit with the desired values of the significant variables stored in another database. If the variable measured is greater than its desired value an alert signal is generated producing an error.
  • the alert With the alert activated, it enters a control unit, where a control law is applied based on the artificial intelligence paradigms to correct the error. Should there exist the control law adapted to the alert generated, according to the type of plant or process to control the necessary time must be waited so that the adjustment made is effective. If there is any new learning in the application of the control law, it is modified with the new information. If there is no control law in existence to correct the error the system must generate it by an automatic learning technique storing it and informing the operator about the existence of the new control law. If no new law is found it informs the operator that the alert has not been corrected to analyse it manually.
  • the process allows the connection to an interface to display the data of the measured variables stored in a database (the numerical data or histograms can be presented). On the other hand, it is also possible to observe the historic evolution of each one of the variables.
  • This process generates an autonomous model with automated and optimized decision-making.
  • the system that implements the process integrates components such as sensors and actuators that fulfil the decision-making and generates an efficient control based on each one of its components. It is based on each one of the requirements and artificial intelligence, which define the tools and mechanisms it is necessary to work with.
  • it is also an adaptable, adjustable, flexible and dynamic model, it allows the application of other tools, techniques, methods and applications of knowledge engineering in artificial intelligence.
  • Figure 1 shows a general view of the schematic diagram of the entire monitoring and control system used for the operation of the system.
  • Figure 2 represents the flow diagram of the process involved in the alert activation unit.
  • FIG. 3 illustrates the flow diagram of the process involved in the control unit.
  • FIG. 1 shows the components of the detection and control system of the industrial plant to control.
  • a sensorial unit 1 comprises a plurality of sensors (1a, 1 b, ... 1 n) of various types according to the application, and a transmitter 2 responsible for sending, to an alert activation unit 3, a data signal with the data from the DSensor sensors obtained from the reading of the sensors (1 a, 1 b, ... 1 n).
  • the transmitter 2 can use different electronic and communication technologies (wireless, via internet, Ethernet, etc.) to form an embedded system.
  • the alert activation unit 3 stores the data measured by the sensors of the sensorial unit 1 in a memory 4 (e.g. in a database).
  • a database of reference values 5 stores the desired values of the significant variables corresponding to the sensors.
  • a comparator module 6 performs the comparison between the values of the reading of the sensors and the desired values stored, respectively, in the memory 4 and in the database of reference values 5.
  • the alert activation unit 3 generates and sends an alert signal 7 to a control unit 8.
  • the control unit 8 receives the alert signal 7, when it generates and seeks a control law contained in a control law database 9. Should said control law not exist in the control law database 9, the control unit 8 is responsible for automatically generating it. Later, the control unit 8 applies the control law found or generated.
  • FIG. 2 shows the flow diagram that describes the process involved in the alert activation unit 3 and the form in which an alert signal 7 is generated.
  • the sensor data (Dsensor) stored in the memory 4 are compared in the comparator module 6 with the reference or desired data (Datum) contained in the database of reference values 5. If there is any error in the comparison 6a of both data (in particular if Dsensor>Datum), the Dalert alert counter in increased by one in the sentence 6b. Otherwise, it is considered that there is no error (ideal function 6c). Finally, the comparison 6d generates an alert signal 7 which is sent to the control unit 8 if the alert counter (Dalert) is greater than a reference or limit value.
  • Figure 3 represents the flow diagram of the control unit 8.
  • the control unit verifies 8a if the error can be corrected according to an already existing control law, in which case the control unit 8 applies the control law 8b to correct the error. If there is no control law to resolve the type of error or alert detected, the control unit 8 starts a generation process of a new law 8c automatically. It is verified 8d if the new control law could be generated, in which case it stores the new control law recently generated in the control law database 9 and it applies 8b the new control law to correct the error. Otherwise, it informs 8e of the existing situation to the operator to correct the error manually.
  • the system of the present invention is applicable to any industrial process. By means of the use of artificial intelligence paradigms, the control unit 8 generates new control laws that correct the errors detected. Furthermore, the error alert and correction system has the capacity to automatically learn, on storing the control laws generated for future uses when errors or similar alert situations occur.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

La présente invention concerne un système et un procédé permettant la détection d'alertes et la correction d'erreurs dans des processus industriels. Le système prend en tant qu'entrée les valeurs mesurées par un réseau de capteurs qui forment un système de surveillance. Les valeurs mesurées sont comparées à des valeurs de référence pour générer une alerte d'il y a une divergence entre les deux valeurs. S'il n'existe pas déjà une loi de commande pour traiter l'anomalie, le système génère et stocke une nouvelle loi de commande à l'aide de techniques d'intelligence artificielle, avec un procédé d'apprentissage automatique pour résoudre de futures alertes similaires. Le modèle est adaptable, ajustable, flexible et dynamique avec le système, ce qui facilite sa réplicabilité et permet que son fonctionnement ne soit pas affecté par l'acquisition d'une composante quelconque ou qu'il ne peut pas être connecté au modèle. La présente invention réalise un système intelligent de commande et de surveillance.
PCT/IB2016/056373 2016-07-20 2016-10-24 Système et procédé permettant la détection d'alertes et la correction d'erreurs dans des processus industriels WO2017042780A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
PA91253 2016-07-20
PA9125301 2016-07-20

Publications (1)

Publication Number Publication Date
WO2017042780A1 true WO2017042780A1 (fr) 2017-03-16

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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4257038A (en) * 1979-02-28 1981-03-17 Notifier Company Coded security system
US5701400A (en) * 1995-03-08 1997-12-23 Amado; Carlos Armando Method and apparatus for applying if-then-else rules to data sets in a relational data base and generating from the results of application of said rules a database of diagnostics linked to said data sets to aid executive analysis of financial data
US20020198627A1 (en) * 2001-04-06 2002-12-26 Nasman Kevin P. Predictive failure scheme for industrial thin films processing power delivery system
US20030005362A1 (en) * 2001-06-29 2003-01-02 Miller Jennifer J. System and method of automatic information collection and problem solution generation for computer storage devices
US20040249848A1 (en) * 2003-06-06 2004-12-09 Carlbom Ingrid Birgitta Method and apparatus for intelligent and automatic alert management using multimedia database system
US20050208925A1 (en) * 2004-03-16 2005-09-22 Texas Instruments Incorporated Handheld portable automatic emergency alert system and method
US20070049259A1 (en) * 2005-08-25 2007-03-01 Sumitomo Electric Industries, Ltd. Portable communication terminal, evacuation route display system, and emergency alert broadcasting device
US20070109114A1 (en) * 2003-09-12 2007-05-17 Simplexgrinnell Lp Emergency warning system integrated with building hazard alarm notification system
US20070239408A1 (en) * 2006-03-07 2007-10-11 Manges Joann T Threat matrix analysis system
US20070275690A1 (en) * 2001-10-10 2007-11-29 Ochoa Optics Llc System and Method for Emergency Notification Content Delivery
US20090234623A1 (en) * 2008-03-12 2009-09-17 Schlumberger Technology Corporation Validating field data
US20090267540A1 (en) * 2008-04-14 2009-10-29 Digital Lumens, Inc. Modular Lighting Systems
US20150370228A1 (en) * 2014-06-20 2015-12-24 Atigeo Corp. Determining control actions of decision modules

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4257038A (en) * 1979-02-28 1981-03-17 Notifier Company Coded security system
US5701400A (en) * 1995-03-08 1997-12-23 Amado; Carlos Armando Method and apparatus for applying if-then-else rules to data sets in a relational data base and generating from the results of application of said rules a database of diagnostics linked to said data sets to aid executive analysis of financial data
US20020198627A1 (en) * 2001-04-06 2002-12-26 Nasman Kevin P. Predictive failure scheme for industrial thin films processing power delivery system
US20030005362A1 (en) * 2001-06-29 2003-01-02 Miller Jennifer J. System and method of automatic information collection and problem solution generation for computer storage devices
US20070275690A1 (en) * 2001-10-10 2007-11-29 Ochoa Optics Llc System and Method for Emergency Notification Content Delivery
US20040249848A1 (en) * 2003-06-06 2004-12-09 Carlbom Ingrid Birgitta Method and apparatus for intelligent and automatic alert management using multimedia database system
US20070109114A1 (en) * 2003-09-12 2007-05-17 Simplexgrinnell Lp Emergency warning system integrated with building hazard alarm notification system
US20050208925A1 (en) * 2004-03-16 2005-09-22 Texas Instruments Incorporated Handheld portable automatic emergency alert system and method
US20070049259A1 (en) * 2005-08-25 2007-03-01 Sumitomo Electric Industries, Ltd. Portable communication terminal, evacuation route display system, and emergency alert broadcasting device
US20070239408A1 (en) * 2006-03-07 2007-10-11 Manges Joann T Threat matrix analysis system
US20090234623A1 (en) * 2008-03-12 2009-09-17 Schlumberger Technology Corporation Validating field data
US20090267540A1 (en) * 2008-04-14 2009-10-29 Digital Lumens, Inc. Modular Lighting Systems
US20150370228A1 (en) * 2014-06-20 2015-12-24 Atigeo Corp. Determining control actions of decision modules

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