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1. 发明专利

JP2021170329A 産業システムの動作および設計のためのシステムおよび方法审中-公开
公开(公告)号：JP2021170329A
公开(公告)日：2021-10-28
申请号：JP2021063651
申请日：2021-04-02
申请人：シュナイダー・エレクトリック・システムズ・ユーエスエイ・インコーポレイテッド , Schneider Electric Systems USA, Inc.
发明人：アニル・クマール・ナララ・ポチャイア , ジェイムズ・ピー・マッキンタイア , サラット・クマール・レディ・モラカシーマ
IPC分类号： G05B19/042 , G05B23/02
摘要：【課題】産業システムにおける分散制御を構成する。【解決手段】産業システムのプロセス制御設備を表すアセットモデルを構築すること、および分散制御プログラミング標準に従って分散制御アセットのアセットライブラリを作成することを含む。アセットモデルは、物理モデル規格のレベルに従って定義されて産業システムの物理デバイスを表すモデル化されたアセットを含む。分散制御アセットはそれぞれ、1つまたは複数の事前定義された組み込みファセットを有する。アセットライブラリ内の分散制御アセットの1つは、モデル化されたアセットのそれぞれにマッピングされて産業システムのプロセス制御設備を構成し、産業システムの分散制御を提供するためのアセットベースの制御アプリケーションを生成する。更なる態様は、機械学習またはアセット構成ツールのいずれかを使用して、情報モデルに基づいて制御アプリケーションを自動作成することに関する。【選択図】図14

2. 发明申请

WO2022147276A1 SYSTEMS AND METHODS FOR PROVIDING OPERATOR VARIATION ANALYSIS FOR STEADY STATE OPERATION OF CONTINUOUS OR BATCH WISE CONTINUOUS PROCESSES 审中-公开
公开(公告)号：WO2022147276A1
公开(公告)日：2022-07-07
申请号：PCT/US2021/065716
申请日：2021-12-30
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： MILLER, Randy Marvin , APPLE, Stephen Mark
IPC分类号： G06Q10/00
摘要： Systems and methods for providing operator variation analysis for an industrial operation are disclosed herein. In one aspect of this disclosure, a method for providing operator variation analysis includes processing input data received from one or more data sources to identify steady state process data relating to the industrial operation and selecting one or more types of data in the steady state process data to cluster for operator variation analysis. The one or more types of data are clustered using one or more data clustering techniques, and the clustered one or more types of data are analyzed to identify a best operator of a plurality of operators responsible for managing the industrial operation. Information is analyzed to determine if one or more gaps exist in the economic operation of the industrial operation due to operator variability between the best operator and other operators.

3. 发明申请

WO2021127258A1 SMART WIRELESS ADAPTER 审中-公开
公开(公告)号：WO2021127258A1
公开(公告)日：2021-06-24
申请号：PCT/US2020/065728
申请日：2020-12-17
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： BERTOLINA, Mark V. , CASIMIRO, Richard P. , CUPO, Patrick , CARRARA, Lee Matthew
IPC分类号： H04L29/02 , H04L29/06 , H04L29/08 , G05B19/41855 , G05B2219/31162 , G05B2219/32406 , H04L67/141 , H04Q2209/43 , H04Q9/00 , H04W76/10 , H04W84/18
摘要： Smart Wireless Adapters are provided herein for establishing communication between measurement devices and a measurement control and data acquisition system in an industrial system. In one aspect, a method of establishing communication between a Pneumatic or Analog measurement device and the measurement control and data acquisition system includes providing a Pneumatic or Analog measurement device and providing a Smart Wireless Adapter capable of electrically and mechanically coupling to the Pneumatic or Analog measurement device. The Pneumatic or Analog measurement device is configured to measure one or more parameters in the industrial system and provide a value or signal indicative of the measured parameters at an output of the Pneumatic or Analog measurement device. Additionally, the Smart Wireless Adapter is coupled to receive the value or signal from the Pneumatic or Analog measurement device and configured to wirelessly transmit data indicative of the value or signal to the measurement control and data acquisition system.

4. 发明申请

WO2021050943A1 WELL SITE MACHINE LEARNING BASED ROD PUMP FAILURE PREDICTIONS 审中-公开
公开(公告)号：WO2021050943A1
公开(公告)日：2021-03-18
申请号：PCT/US2020/050494
申请日：2020-09-11
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： SAGHIR, Fahd , PASBEAU, Xavier , BOGUSLAWSKI, Bartosz , BOUJONNIER, Matthieu , BISSUEL-BEAUVAIS, Loryne
IPC分类号： E21B41/00 , E21B43/12 , E21B47/009 , F04B47/02 , F04B49/06
摘要： Systems and methods for real-time monitoring and control of well operations at a well site use machine learning (ML) based analytics at the well site. The systems and methods perform ML-based analytics on data from the well site via an edge device directly at the well site to detect operations that fall outside expected norms and automatically respond to such abnormal operations. The edge device can issue alerts regarding the abnormal operations and take predefined steps to reduce potential damage resulting from such abnormal operations. The edge device can also anticipate failures and a time to failure by performing ML-based analytics on operations data from the well site using normal operations data. This can help decrease downtime and minimize lost productivity and cost as well as reduce health and safety risks for field personnel.

5. 发明申请

WO2020198250A1 AUTOMATIC EXTRACTION OF ASSETS DATA FROM ENGINEERING DATA SOURCES 审中-公开
公开(公告)号：WO2020198250A1
公开(公告)日：2020-10-01
申请号：PCT/US2020/024502
申请日：2020-03-24
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： KONDEJKAR, Sameer , MUNUGOTI, Mallikarjuna , MCINTYRE, James, P. , LESUEUR, Grant
IPC分类号： G05B19/042
摘要： Systems and methods for controlling industrial process automation and control systems can automatically, through the use of machine learning (ML) models and algorithms, extract plant assets from engineering diagrams and other plant engineering data sources. The systems and methods can establish asset relationships to create a plant asset registry and build an asset hierarchy from the plant assets. The systems and methods can generate an ontological knowledge base from the plant asset hierarchy, and provide an HMI for controlling the industrial process based on the plant asset hierarchy and the ontological knowledge base.

6. 发明申请

WO2020005541A1 MACHINE LEARNING ANALYSIS OF PIPING AND INSTRUMENTATION DIAGRAMS 审中-公开
公开(公告)号：WO2020005541A1
公开(公告)日：2020-01-02
申请号：PCT/US2019/036651
申请日：2019-06-12
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： SINHA, Bhaskar , PATIL, Ashish , BHATTACHARYYA, Amitabha , JAGANNATH, Venkatesh , KONDEJKAR, Sameer
IPC分类号： G05B19/418 , G05B13/04 , G06G7/66 , G05B19/05
摘要： Automated evaluation and extraction of information from piping and instrumentation diagrams (P&IDs). Aspects of the systems and methods utilize machine learning and image processing techniques to extract relevant information, such as tag names, tag numbers, and symbols, and their positions, from P&IDs. Further aspects feed errors back to a machine learning system to update its learning and improve operation of the systems and methods.

7. 发明申请

WO2019046354A1 VORTEX FLOWMETER HAVING INJECTION CLEANING PORTS 审中-公开
公开(公告)号：WO2019046354A1
公开(公告)日：2019-03-07
申请号：PCT/US2018/048425
申请日：2018-08-29
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： LOPERA, Javier , DESSERT, Wayne, A. , COLLINS, Lou
IPC分类号： G01F1/34 , G01F1/32 , G01F15/12
摘要： A vortex flowmeter for measuring a flow rate of a fluid has a flowtube and a bluff body positioned in the flowtube for shedding vortices in the fluid when the fluid flows through the flowtube. A sensor is positioned to detect the vortices. A cleaning port is positioned to allow a stream of fluid to be directed into the flowtube through the cleaning port toward the sensor for cleaning material away from the sensor. A method of cleaning the vortex flowmeter includes injecting a fluid into the vortex flowmeter toward the sensor through the cleaning port.

8. 发明申请

WO2018080528A1 MULTI-CORE DEVICE WITH SEPARATE REDUNDANCY SCHEMES IN A PROCESS CONTROL SYSTEM 审中-公开
标题翻译：过程控制系统中具有单独冗余方案的多核设备
公开(公告)号：WO2018080528A1
公开(公告)日：2018-05-03
申请号：PCT/US2016/059636
申请日：2016-10-31
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： TEGNELL, Johan, Ingemar , LAVALLEE, John, Joseph , GALE, Alan, Andrew , RADEV, Miroslav, Radomirov
IPC分类号： G06F11/07 , H04L9/00 , H04L12/56
摘要： A multicore system controls devices in a process control system. A primary control processing device having a primary master core and a primary remote core is configured for controlling communications on a first network among a first plurality of devices. The primary remote core is configured for controlling communications on a second network among a second plurality of devices. A shadow control processing device is coupled to the first and second networks for processing redundant communications among the devices. The shadow control processing device comprises a shadow master core and a shadow remote core. The shadow master core is configured for controlling communications on the first network among the first plurality of devices. The shadow remote core is configured for controlling communications on the second network among the second plurality of devices.
摘要翻译：
多核系统控制过程控制系统中的设备。具有主要主要核心和主要远程核心的主要控制处理设备被配置用于控制第一多个设备中的第一网络上的通信。主要远程核心被配置用于控制第二多个设备中的第二网络上的通信。影子控制处理设备耦合到第一和第二网络，用于处理设备之间的冗余通信。影子控制处理设备包括影子主控核心和影子远程核心。影子主控核心被配置用于控制第一多个设备中的第一网络上的通信。影子远程核心被配置用于控制第二多个设备中的第二网络上的通信。

9. 发明申请

WO2021155272A1 WELL SITE EDGE ANALYTICS 审中-公开
公开(公告)号：WO2021155272A1
公开(公告)日：2021-08-05
申请号：PCT/US2021/015886
申请日：2021-01-29
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： BOGUSLAWSKI, Bartosz , SAGHIR, Fahd , BOUJONNIER, Matthieu , BISSUEL-BEAUVAIS, Loryne
IPC分类号： E21B47/008 , E21B43/12 , G05B23/02 , F04D15/00
摘要： Systems and methods for real-time monitoring and control of well site operations employ well site edge analytics to detect abnormal operations. The systems and methods receive well site data from a remote programmable automation (PAC) controller at the well site, the well site data representing one or more operational parameters related to the well site operations. A probability is derived for a given slope for each one of the one or more operational parameters as correlated to a different one of the one or more operational parameters to produce correlated probabilities for the one or more operational parameters. A resultant probability is derived from the correlated probabilities for the one or more operational parameters and it is determined whether the resultant probability meets a preselected threshold probability value. A responsive action is initiated if the resultant probability fails to meet the preselected threshold probability value.

10. 发明申请

WO2020198254A1 AUTOMATIC EXTRACTION OF ASSETS DATA FROM ENGINEERING DATA SOURCES FOR GENERATING AN HMI 审中-公开
公开(公告)号：WO2020198254A1
公开(公告)日：2020-10-01
申请号：PCT/US2020/024506
申请日：2020-03-24
申请人： SCHNEIDER ELECTRIC SYSTEMS USA, INC.
发明人： SINHA, Bhaskar , BODANAPU, Padmaja , PATIL, Ashish , KONDEJKAR, Sameer , KRISHNAN, Rajkumar
IPC分类号： G05B19/042
摘要： Systems and methods for controlling industrial process automation and control systems can automatically, through the use of machine learning (ML) models and algorithms, extract plant assets from engineering diagrams and other plant engineering data sources. The systems and methods can establish asset relationships to create a plant asset registry and build an asset hierarchy from the plant assets. The systems and methods can generate an ontological knowledge base from the plant asset hierarchy, and provide an HMI for controlling the industrial process based on the plant asset hierarchy and the ontological knowledge base.

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