Rockwell Automation Technologies Incorporated

Eugene Liberman

Kenwood H Hall

Charles Martin Rischar

Michael D Kalan

David Alan Vasko

Taryl Jon Jasper

Robert J Kretschmann

Subbian Govindaraj

Raymond John Staron

Paul R D'Mura

Michael John Pantaleano

Jonathan M Wise

David Wayne Comeau

Petr Ptacek

Nancy Lynn Burnham

Kenneth Scott Plache

Edward Alan Hill

Jonathan D Walter

Scott N Sandler

John Dyck

Ryan Cahalane

Michael Robert Keller

David Allen Johnston

Bruce J Moore

Nancy Lynne Burnham

A conversation interface system provides remote access to manufacturing operation information using plain language message exchange. A cloud-based conversation interface service is exposed to an instant messaging application, and receives plain language queries from via the instant messaging application's interface requesting information relating to one or more industrial systems. The cloud-based system synchronizes the queries to one or more on-premise conversation interface agent devices residing at one or more plant facilities. The on-premise agent devices translate the queries and apply the translated queries to local sources of manufacturing operation data. The on-premise agent devices then generate and return response messages based on the retrieved information, and the cloud-based system directs the response messages the originators of the queries via the instant messaging interface.

Conversation interface agent for manufacturing operation information

A layered industrial analytics architecture enables the flow of information from intelligent assets into tools and engines that perform analytics and enable decision-making in substantially real-time. The analytics architecture comprises analytic nodes that are distributed across multiple layers of an industrial enterprise, and includes system features that optimize movement of data across this layered architecture. Each analytic node includes base architectural constructs that host various analytic, data acquisition, and storage elements. These base constructs can operate autonomously, or in conjunction with other instances of base constructs or other elements of the control system. The system design uses a multi-platform compatible implementation that allows the base elements to be deployed on various different computing platforms.

Scalable analytics architecture for automation control systems

An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitated improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

Automatically adjustable industrial control configuration

In an industrial control setting, different components can have information that can be valuable to various entities, such as other components, technicians, and the like. A decision can be made as to what information should be available to entities and a determination can be made if the information should be published in a directory or be discoverable. Security can be taken into account in determining if information should be published and decision making can employ adaptive learning, such that a publish and/or discovery decision criterion can be modified based on the learning.

Industrial control metadata engine

In a distributed directory configuration, different nodes can retain information pertinent an industrial control configuration. As information changes in one node, replicas of the information in other nodes can be updated. However, updating can take time and a query can be run upon the directory while nodes have conflicting information. Conflicting information can be identified and resolved such that a query obtains a correct answer.

Directory content resolution

An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitate improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

A requesting entity can submit a query to an industrial control configuration to determine a location for a module. A distributed directory can be employed to discover an absolute location of the module, which can be provided to the requesting entity. This discovery can occur in real-time such that an answer can be given with a relatively high degree of certainty. In addition to providing the absolute address in the answer, a path on how to reach the module can be provided. The path can be optimized in order to allow quicker response time and to manage system resources.

Diverse network relative addressing resolution

The subject matter disclosed herein describes a method of allocating and persisting memory in an industrial controller without requiring a battery backup or a large capacitive storage system. Each data object is identified as static or dynamic. Static objects are further classified by whether frequent access of that data object is required. Each of the data objects is stored in non-volatile memory. The dynamic data objects and static data objects requiring frequent access are stored in volatile memory. A record of static data objects is maintained in non-volatile memory and a record of dynamic data objects is maintained in volatile memory. Upon power loss, the present value of each dynamic data object is copied to non-volatile memory. When power is restored, the values of both the dynamic data objects and the static data objects that require frequent access at run-time are copied from non-volatile memory to volatile memory.

Method to separate and persist static and dynamic portions of a control application

Various amounts of information can be beneficial to different controllers configured upon an industrial control system. Information can be retained in a distributed directory such that controllers quickly learn information concerning other controllers. The distributed directory can be automatically constructed and populated with information from different controllers. When a module enters an industrial control system, information can automatically advertise to other units through use of the distributed directory.

Self-organized distributed directory

In an industrial control system, a relatively large number of bindings can permeate between different controllers. As a modification is made in a primary binding, supplemental bindings can be impacted and can become erroneous. The supplemental bindings can be automatically resolved such that they are no longer erroneous. Resolution can take place through access of a distributed directory that holds information related to the different controllers. To lower a likelihood of control system error or failure, the primary binding and supplemental binding can be placed online in synchronization.

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Rocky River, OH, United States of America

Eugene Liberman