Disclosed is a medical robot system including medical robots placed at different locations and a data analysis apparatus. Each of the medical robots includes a controller that transmits data on a state of operation of the medical robot to the data analysis apparatus. The data analysis apparatus includes a data analysis unit that generates a reference for determining whether or not the medical robots are normal, based on the data transmitted from the medical robots. The data analysis unit monitors the data transmitted from each of the medical robots in operation based on the reference.

A cloud-based industrial application provisioning system is provided. The industrial application provisioning system can reside on a cloud platform and be made available to developers and end users with access privileges to the cloud platform. Application developers can publish industrial applications to an application library on the cloud platform, where the application is cataloged within an industry-specific search hierarchy. A search engine allows a user to access the cloud platform and search for a desired industrial application. The library's hierarchical catalog allows the user to search for applications according to industry type, equipment in use, automation system type, or other suitable criteria.

A robot remote monitoring system (6) which monitors at least one robot (10) at a distant location including at least one robot control device (11), a data server (20), and a mobile terminal (30), wherein a robot control device includes a memory part (14) which stores monitoring information which includes an operating state of the robot and alarm information and attribute information which is linked with the monitoring information and a transmitting part (15) which transmits the monitoring information and the attribute information to the data server together, the data server includes a transmitting part (21) which transmits the monitoring information and the attribute information to the mobile terminal together, and the mobile terminal includes a memory part (33) which stores the monitoring information and the attribute information and a display part (34) which uses the attribute information as the basis to display the monitoring information all together.

A cloud-based industrial application provisioning system is provided. The industrial application provisioning system can reside on a cloud platform and be made available to developers and end users with access privileges to the cloud platform. Application developers can publish industrial applications to an application library on the cloud platform, where the application is cataloged within an industry-specific search hierarchy. A search engine allows a user to access the cloud platform and search for a desired industrial application. The library's hierarchical catalog allows the user to search for applications according to industry type, equipment in use, automation system type, or other suitable criteria.

A library of cloud templates for configuring cloud-based industrial solutions is provided. A cloud template provisioning system provides a platform for location and retrieval of a variety of cloud templates that facilitate configuration of cloud-based industrial applications, including control panel templates, dashboard templates, data historian templates, virtual machine management templates, and other such templates. The cloud templates can be installed and executed on a client device to provide an intuitive interface for configuring various aspects of the cloud-based solution.

A cloud-compatible industrial device is provided. The industrial device generates or collects raw industrial data in connection with monitoring and/or controlling an automation system, and includes a cloud interface that couples the industrial device to one or more cloud-based services running on a cloud platform. To reduce consumption of cloud-based resources such as bandwidth and storage utilization, the industrial device can transform the raw industrial data into refined data that is amenable for cloud-based storage, computing, or analysis. Exemplary transformations include filtering, pruning, re-formatting, compressing, summarizing. In one or more embodiments, the industrial device can also add contextual metadata to the raw data prior to delivery to the cloud.

Content management includes populating a library with modular objects and metadata associated with the modular objects. In response to a query, the library can be searched based in part on the metadata. The query can relate to implementation of an industrial process. One or more modular objects in the library can be identified as satisfying the query. A result of the query can be output and the output can include the identified modular objects and the respective metadata associated with the identified modular objects. The metadata can be anything known about the object that might not be accessible at runtime control.

The embodiments described herein include a system, non-transitory tangible computer-readable medium including executable code, and a method. In one embodiment, a non-transitory tangible computer-readable medium including executable code is provided. The executable code includes instructions for providing a batch commissioning system configured to operatively couple at least two field devices to a control system, and for providing a batch decommissioning system configured to operatively uncouple the at least two field devices from the control system. The executable code further includes instructions for providing a graphical user interface (GUI) configured to use the batch commissioning system, the batch decommissioning system, or a combination thereof, to select, on a display, the at least two field devices, and to communicatively interface with the control system to operatively couple, uncouple, or a combination thereof, the at least two field device from the control system.

To provide a start-up control device and a start-up control method for a power plant capable of changing the start-up completion estimated time to a desired time simply and safely while starting the power plant. The start-up control device includes an equipment state quantity acquisition unit acquiring an equipment state quantity of the power plant, a start-up schedule calculation unit calculating a current start-up schedule based on the equipment state quantity and a first thermal stress limiting value and calculating a start-up schedule changing plan based on the equipment state quantity and a second thermal stress limiting value, an equipment operation amount calculation unit calculating an equipment operation amount of the power plant based on the current start-up schedule, a screen display unit displaying respective start-up completion estimated times of the current start-up schedule and the start-up schedule changing plan, and an instruction input unit instructing the start-up schedule calculation unit to perform switching from the current start-up schedule to the start-up schedule changing plan.

A computer-implemented method for providing recommendations, REC, concerning a configuration process is provided to configure an industrial system, SYS, the method including the steps of calculating by a trained graph neural network, GNN, scores, s, for components, c, of a set, C, of configurable component types, ct; generating recommendations, REC, for introducing at least one additional component, c, into the industrial system, SYS, on the basis of the calculated scores, s; and outputting the generated recommendations, REC, to a user by a user interface or executing the generated recommendations.