A method for controlling operation of an electric power generation system includes receiving power generator data corresponding to the electric power generation system. The method further includes receiving, using a digital prime mover unit, a set-point parameter corresponding to a prime mover unit and generating one or more prime mover parameter estimates corresponding to the plurality of prime mover parameters. Further, the method includes receiving, using a digital generator unit, one or more prime mover parameter estimates and generating one or more generator parameter estimates corresponding to the plurality of generator parameters. The digital prime mover unit and the digital generator unit are real-time operational models of the prime mover unit and the generator unit. The method also includes controlling the operation of the electric power generation system based on at least one or more of the power generator data, the prime mover parameter estimates, and the generator parameter estimates.

A method for controlling operation of an electric power generation system includes receiving power generator data corresponding to the electric power generation system. The method further includes receiving, using a digital prime mover unit, a set-point parameter corresponding to a prime mover unit and generating one or more prime mover parameter estimates corresponding to the plurality of prime mover parameters. Further, the method includes receiving, using a digital generator unit, one or more prime mover parameter estimates and generating one or more generator parameter estimates corresponding to the plurality of generator parameters. The digital prime mover unit and the digital generator unit are real-time operational models of the prime mover unit and the generator unit. The method also includes controlling the operation of the electric power generation system based on at least one or more of the power generator data, the prime mover parameter estimates, and the generator parameter estimates.

A monitoring device monitors a status of a process in a production line in separate unit tasks. The production line includes a plurality of processes. The unit tasks form the process. The monitoring device includes an operational condition acquisition section, a determination section, and an output section. The operational condition acquisition section acquires, on a per-unit task basis, operational conditions of a device being used in the tasks. The determination section determines whether or not the acquired operational conditions are appropriate based on preset reference values. The output section outputs, on a per-unit task basis, information as to whether or not the process is being appropriately performed, based on results of the determination.

A quality review system may be used to analyze the operation of manufacturing processes within a plant based on data collected by various data sources in the plant, such as batch executive applications, to automatically detect, store, and display exceptions within those processes for use by a quality review engineer to determine if the process operation meets certain quality standards. The quality review system includes a configuration application that enables a user to create one or more exception rules, an exception engine that analyses process data using the rules to detect one or more exceptions within the process, and a review application that enables quality review personnel to review each determined exception for resolution purposes. Moreover, the quality review system collects metadata about the process plant for or after detecting an exception and stores the metadata along with an exception record for use by a reviewer. This system thus provides the reviewer with contextual information regarding the detected exception which, in turn, enables the reviewer to better understand and process the exception.

Disclosed are a coffee drink order processing apparatus using an unmanned coffee drink making machine and an operating method thereof. The present invention may provide support so that, when an order request message for a coffee drink is received from a client terminal of a user, a making-reservation command for the coffee drink ordered by the user is transmitted to the unmanned coffee drink making machine installed in an unmanned coffee drink selling store in consideration of an expected arrival time of the user at the unmanned coffee drink selling store, and thus the user may immediately pick up the coffee drink that the user ordered without a waiting time when the user arrives at the unmanned coffee drink selling store.

Disclosed are a coffee drink order processing apparatus using an unmanned coffee drink making machine and an operating method thereof. The present invention may provide support so that, when an order request message for a coffee drink is received from a client terminal of a user, a making-reservation command for the coffee drink ordered by the user is transmitted to the unmanned coffee drink making machine installed in an unmanned coffee drink selling store in consideration of an expected arrival time of the user at the unmanned coffee drink selling store, and thus the user may immediately pick up the coffee drink that the user ordered without a waiting time when the user arrives at the unmanned coffee drink selling store.

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

The application relates to a haptic system comprising a haptic device that has an end effector terminal and a transmission structure which can generate a translational movement as an output variable, said translational movement extending from the transmission structure to the end effector terminal via a boom such that the end effector terminal moves in a manner that is perceptible to a user, the transmission structure being formed by means of driven linear shafts. The application further relates to a method for operating a haptic system comprising a haptic device.

The application relates to a haptic system comprising a haptic device that has an end effector terminal and a transmission structure which can generate a translational movement as an output variable, said translational movement extending from the transmission structure to the end effector terminal via a boom such that the end effector terminal moves in a manner that is perceptible to a user, the transmission structure being formed by means of driven linear shafts. The application further relates to a method for operating a haptic system comprising a haptic device.