A device management system comprises a data collection server and edge server including an adapter that transfers a device-related data set of an industrial device. Upon receipt of the device-related data set and when the data collection server is unable to specify a row that both adapter identification information of the device-related data set and device identification information match, in a devices list table and when the data collection server is able to specify a location name of a row that only the adapter identification information matches, in the devices list table, the data collection server is configured to generate/assign a new unique device identification ID based on the specified location name, the locations list table, and the devices list table. The data collection server associates the new unique device identification ID with the received device-related data set, and then stores the device-related data set in the data accumulation section.

A system is provided for measurement data management in a distributed environment. The system comprises at least one storage system adapted to obtain raw measurement data or intermediate results from at least one measurement site via a network. In addition, the system further comprises a database, operatively connected to the said storage system, adapted to be accessed remotely by the measurement site via the network. The storage system or the measurement site is further adapted to perform successive processing steps on the raw measurement data along a process chain in order to generate measurement results, whereby associating metadata with the raw measurement data and with the measurement results. In this context, the metadata associated with each measurement result of the successive processing steps is provided with a new reference as well as a reference to the reference of the measurement result from the preceding processing step.

An information processing method includes causing an information processing apparatus to display a first image on which a plurality of pieces of partial time-series data of a physical quantity regarding a state of a mechanical apparatus are displayed, causing the information processing apparatus to display a second image on which the plurality of pieces of partial time-series data are displayed at intervals different from intervals at which the plurality of pieces of partial time-series data are displayed on the first image, and causing the information processing apparatus to display a first mark marking first partial time-series data that is predetermined one of the plurality of pieces of partial time-series data displayed on the first image and a second mark marking second partial time-series data that is one of the plurality of pieces of partial time-series data displayed on the second image and that corresponds to the first partial time-series data.

The production management support system analyzes, on the basis of one or more attentional perspectives on a plurality of different models of products, past record information that includes information as a past record which shows, for each product loaded in a production system in which the plurality of different models of products are loaded and a sequential order of two or more of a plurality of steps is different depending on the model, an execution time of each of the steps and that serves as a basis for a production management chart showing a production situation, to detect, among display objects displayed in the production management chart, a display object satisfying one or more requirements associated with the one or more attentional perspectives. The system performs accentuated display on at least one of the detected display objects.

Example implementation described herein are directed to systems and methods for management of a factory, which can include intaking and storing streaming sensor data from a plurality of edge nodes of the factory in a database server, the database server managing historical data of the plurality of edge nodes of the factory; executing, at an edge server, a first machine learning process on the streaming sensor data from the plurality of edge nodes to determine short term analytics; controlling, at the edge server, the plurality of edge nodes according to the determined short term analytics; executing, at a cloud server, a second machine learning process on the streaming sensor data stored in the database server and the short term analytics to determine long term analytics; and instructing the edge server to control the plurality of edge nodes according to the determined long term analytics.

Provided is a method in which a processor (1) accesses a database which contains a set of data records containing a focus data record, (2) selects first data records from the set of data records, the first context information of which does not correspond to the first context information of the focus data record, and the second context information of which corresponds to the second context information of the focus data record, (3) lines up a focus graphic, (4) selects second data records from the set of data records, the first context information of which corresponds to the first context information of the focus data record, and the second context information of which does not correspond to the second context information of the focus data record, and (5) lines up second graphics.

An industrial information hub (IDH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. Additionally, the IIH system provides tools and support to OEMs and other subject matter experts, allowing those experts to enable their digital assets for use in the ecosystem. The IIH system reduces the cost and risks for digital modeling of industrial assets.

An industrial information hub (IDH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. Additionally, the IIH system provides tools and support to OEMs and other subject matter experts, allowing those experts to enable their digital assets for use in the ecosystem. The IIH system reduces the cost and risks for digital modeling of industrial assets.

An industrial information hub (IDH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. Additionally, the IIH system provides tools and support to OEMs and other subject matter experts, allowing those experts to enable their digital assets for use in the ecosystem. The IIH system reduces the cost and risks for digital modeling of industrial assets.

An event analyzing device includes an event data collector configured to collect event data which represents an event including an alarm which has occurred in a plurality of devices in a plant and an operation performed to the devices, a process data collector configured to collect process data of the devices in the plant, a trend change detector configured to detect a trend change of the process data collected by the process data collector, an event data converter configured to convert the trend change detected by the trend change detector into a process change event represented in the same format as the event, and a cause-effect relationship analyzer configured to integrate the event data collected by the event data collector and process change event data which represents the trend change in the process change event converted by the event data converter to analyze a cause-effect relationship between the event and the process change event.