A device management system for performing validation prior to commissioning at least one field device. The system includes a commissioning tool operable to receive at least one source file relating to the at least one field device for import operation, and a processor operable to check the source file for any error. If at least one error is found in the source file, the processor is operable to refer to an error resolution database for providing guidance on resolution of error associated with the source file without terminating the import operation.

A work support apparatus holds a value indicating information on at least one of an apparatus used for a work and a worker, a work change recognition determination algorithm, and a work support content corresponding to a determination result, applies a value indicating information on at least one of the apparatus and the worker to the work change recognition determination algorithm, determines whether or not the worker recognizes a work change indicating at least one of a change in a work process and a transition between a normal state and an abnormal state of a work, and outputs, to the output device, a work support content corresponding to the determination result.

A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.

A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.

A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.

A method for monitoring an industrial robot. The method includes configuring the robot to perform a certain task during an integration process and storing integration data in the robot identifying the configuration of the robot for performing the task. The method also includes installing the robot in a manufacturing facility, and uploading the stored integration data to the Cloud when the robot is installed in the manufacturing facility. The method further includes capturing production data generated by the robot during operation of the robot in the manufacturing facility, uploading the production data to the Cloud, and comparing the production data to the integration data.

A method for monitoring an industrial robot. The method includes configuring the robot to perform a certain task during an integration process and storing integration data in the robot identifying the configuration of the robot for performing the task. The method also includes installing the robot in a manufacturing facility, and uploading the stored integration data to the Cloud when the robot is installed in the manufacturing facility. The method further includes capturing production data generated by the robot during operation of the robot in the manufacturing facility, uploading the production data to the Cloud, and comparing the production data to the integration data.

A device system includes a terminal device and an information processing device. The terminal device includes a detector and a first notifier. The detector detects at least one of data representing an operation performed by a worker with respect to the terminal device, data representing an environmental value of a plant, and data representing biological information of the worker. The first notifier notifies, to the information processing device, first historical data representing a history of data currently detected by the detector. The information processing device includes a storage and a proposer. The storage stores second historical data representing a history of data detected by the detector in the past. The proposer proposes an operation which should be performed with respect to the terminal device by using the first historical data notified by the first notifier and the second historical data stored in the storage.