ENTERPRISE ENGINEERING AND CONFIGURATION FRAMEWORK FOR ADVANCED PROCESS CONTROL AND MONITORING SYSTEMS

    公开(公告)号:US20240232164A9

    公开(公告)日:2024-07-11

    申请号:US18375735

    申请日:2023-10-02

    IPC分类号: G06F16/23 G06F16/21 G06F16/22

    摘要: An enterprise engineering and configuration system includes a common configuration database and support services stored in and executed in a compute fabric of an enterprise. The configuration database and support services use and implement a common configuration data schema to support the configuration of hardware and software in the compute fabric and at multiple different sites or physical locations of the enterprise even when different control and automation systems are used at these different sites or physical locations. The configuration system enables implementing hardware or software configuration changes to various different sites or locations of an enterprise either centrally from a configuration device connected directly to the compute fabric of the enterprise or locally from any physical location or site of the enterprise, while maintaining a single integrated enterprise configuration database that stores configuration data for each of the multiple sites of the enterprise. This configuration system is flexible as it enables engineering and configuration changes to be made by users anywhere in the enterprise for any of the sites of the enterprise and across different sites of the enterprise.

    Apparatus and method for establishing maintenance routes within a process control system

    公开(公告)号:US12014300B2

    公开(公告)日:2024-06-18

    申请号:US17136866

    申请日:2020-12-29

    发明人: Steven R. Dillon

    摘要: Generating a maintenance route in a process control system includes creating an initial ordered list of all wireless nodes in direct communication with a wireless gateway, where the nodes are ordered by signal strength with the wireless gateway device. A subsequent ordered list is created of all nodes in direct communication with first node of the initial ordered list, where the nodes are ordered by signal strength with the first node. The subsequent ordered list is then appended to the initial ordered list after the first node. This process of creating a subsequent list and appending the initial list is iteratively repeated thereafter, each time accounting for the next node in the appended ordered list following the previous iteration until all nodes are accounted for. In the last iteration, the nodes correspond to stop points along the route and the order corresponds to the route to be taken among the stop points.

    Software defined process control system and methods for industrial process plants

    公开(公告)号:US12007747B2

    公开(公告)日:2024-06-11

    申请号:US17487609

    申请日:2021-09-28

    IPC分类号: G05B19/4155 G06F9/50

    摘要: A software defined (SD) process control system (SDCS) implements controller and other process control-related business logic as logical abstractions (e.g., application layer services executing in containers, VMs, etc.) decoupled from hardware and software computing platform resources. An SD networking layer of the SDCS utilizes process control-specific operating system support services to manage the usage of the computing platform resources and the creation, deletion, modifications, and networking of application layer services with devices disposed in the field environment and with other services, responsive to the requirements and needs of the business logic and dynamically changing conditions of SDCS hardware and/or software assets during run-time of the process plant (such as performance, faults, addition/deletion of hardware and/or software assets, etc.). Thus, dynamic (re-)allocation of hardware/software resources is primarily, if not entirely, and continually governed in real-time by present requirements and needs of application layer services as well as dynamically changing SDCS conditions.

    Automatic Plant Data Recorder Appliance on the Edge

    公开(公告)号:US20240134360A1

    公开(公告)日:2024-04-25

    申请号:US18381957

    申请日:2023-10-18

    IPC分类号: G05B19/418

    CPC分类号: G05B19/41865 G05B19/4185

    摘要: To provide enhanced search capabilities in a process control system, a knowledge repository is generated that includes both contextual data and time series data. The contextual data organizes process plant-related data according to semantic relations between the process plant-related data and the process plant entities. When a user submits a process plant search query related to process plant entities within a process plant, search results are obtained by identifying a data set from the knowledge repository. The contextual data categorizes process parameters so that users can search for a particular process parameter category. Users can tag previous searches to execute them once again at a later time. Users can also execute queries for predicted or future states of process plant entities, batch queries regarding batch processes, soft sensor analytics and monitoring applications, parameter lifecycle applications, perturbation applications, step testing applications, or batch provisioning and scheduling applications using the knowledge repository.

    Distributed ledgers in process control systems

    公开(公告)号:US11960473B2

    公开(公告)日:2024-04-16

    申请号:US16248323

    申请日:2019-01-15

    摘要: To provide a trusted, secure, and immutable record of transactions within a process plant, techniques are described for utilizing a distributed ledger in process control systems. The distributed ledger may be maintained by nodes which receive transactions broadcasted from field devices, controllers, operator workstations, or other devices operating within the process plant. The transactions may include process plant data, such as process parameter data, product parameter data, configuration data, user interaction data, maintenance data, commissioning data, plant network data, and product tracking data. The distributed ledgers may also be utilized to execute smart contracts to allow machines such as field devices to transact by themselves without human intervention. In this manner, recorded process parameter values and product parameter values may be retrieved to verify the quality of products. Moreover, regulatory data may be recorded in response to triggering events so that regulatory agencies can review the data.