Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

Disclosed herein is an identifier based communication system including: a common communication path; a center station having a center station communication module and a center station controller connected to the center station communication module and connected to the common communication path through the center station communication module; and a plurality of distribution stations each including a distribution station communication module connected to the common communication path, a distribution station controller connected to the distribution station communication module, and a distribution station memory connected to the distribution station controller and storing a determined identifier value of the distribution station, wherein the center station controller transmits an identifier setting mode command including a center transmission preliminary identifier value to the distribution stations following an identifier setting request input from the outside; each of the distribution stations includes a distribution station display displaying information on the identifier value and an identifier selection key operated to select the preliminary identifier value displayed on the distribution station display as the determined identifier value of the distribution station; and wherein in a state where either a next preliminary identifier value of the setting mode or the center transmission preliminary identifier value is displayed on a corresponding distribution station display of each distribution, when a corresponding identifier selection key of each distribution station is operated to be on, the distribution station controller stores the preliminary identifier value displayed on the corresponding distribution station display in a corresponding distribution station memory of the distribution station as a determined identifier value of the setting mode of the distribution station, the distribution station controller displays the corresponding determined identifier of the setting mode on the corresponding distribution station display in a form different from the preliminary identifier value of the setting mode, the distribution station controller stores the corresponding determined identifier of the setting mode in the corresponding distribution station memory, and then transmits to other distribution station, a next preliminary identifier value of the setting mode, which is a value increased by the number N (positive integer) from the corresponding determined identifier value of the setting mode, the distribution station controller displays the center transmission preliminary identifier value received from the center station on the corresponding distribution st

Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

Information representing an operating state of each of a plurality of robots, etc. operating under different operation conditions are retrieved and outputted. A retrieval system (1) includes; an acquisition means (24) for acquiring, from a plurality of machines (25) being used under respectively different operation conditions, information representing an operating state of each of the plurality of machines; an accumulation means (13) for accumulating information representing a plurality of operating states thus acquired; and a search means (12) for accepting search criteria for searching the information accumulated in the accumulation means (13), retrieving information representing an operating state agreeing with the search criteria from the accumulation means (13), and outputting a search result.

Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

A collaborative automation platform and associated method include a fault-tolerant control server hosting one or more virtual controllers, and a fault-tolerant input/output server hosting a virtual input/output system. The collaborative automation platform also includes a master autonomous process interface system connected to the virtual input/output system, via a local area input/output network. The collaborative automation platform also includes a plurality of distributed autonomous process interface systems connected to the master autonomous process interface system, wherein each distributed autonomous process interface system is hardwired to a plurality of field instruments. The collaborative automation platform also includes real-time DDS middleware configured for execution with the fault-tolerant control server, the fault-tolerant input/output server, the master autonomous process interface system, and the plurality of distributed autonomous process interface systems.

To provide a collection device, a collection method, and a collection program capable of making detailed data in the past available for viewing according to demand while reducing the volume of communication data in a usual state. A collection device comprises: an acquisition unit that acquires state data about a machine in a predetermined cycle; a first transmission unit that transmits partial data belonging to the state data and matching a first condition set in advance to a management server; a storage unit that stores state data not having been transmitted from the first transmission unit to the management server; and a second transmission unit that, in response to a first command including designation of a time in the past, transmits state data from the designated time onward stored in the storage unit to the management server.

An information processing apparatus includes a configuration information unit, a data conversion unit, and a common data management unit. On the basis of configuration information of each machine, the configuration information management unit generates a conversion table that associates system common information with dedicated information for each machine that corresponds to the system common information. The data conversion unit converts dedicated data for each machine into common data in accordance with the dedicated information for each machine in the conversion table and converts the common data into the dedicated data for each machine in accordance with the system common information in the conversion table. The common data management unit stores, in a common data storage unit, the common data thus generated and transfers the common data stored in the common data storage unit to the data conversion unit.

A platform for actuation of at least one industrial field device in an industrial installation having control software includes: an execution environment, in which the control software is runnable; and an external interface for communicating between the control software and the at least one industrial field device. The execution environment has virtual hardware which, from a point of view of the control software, behaves in a manner of the at least one industrial field device. A switching unit is connected between the virtual hardware and the external interface. The switching unit bidirectionally translates data, interchanged between the control software and the virtual hardware, for communication with the at least one industrial field device via the external interface.

An asset management system used in a process control plant or other control system includes a database that stores asset data for each of a plurality of devices within the plant and a viewing system that accesses the asset data to provide statistical information to a user pertaining to the plant assets. The asset management system enables a user to define and store one or more projects within the plant and a set of plant assets associated with each of the projects. Thereafter, the asset management system performs statistical analyses on the assets within one or more of the defined projects and presents, to a user via a user interface, raw and statistical information pertaining to the assets within the project. The analysis engine may determine the device states or health statuses of the assets associated with the project and may present statistical and/or historical information regarding the number or percentage of assets within the project that are in a particular state or status. The system enables a user to use this information to determine the progress of or completion percentage of the entire project.