A method and system to increase operator awareness for process control application providing operators team real time information on controlled process and equipment immersing them into augmented and virtual reality, provided by a computing system which collects and integrates data from process and equipment, leaving equipment, controls, and procedure unmodified. The method is creating an augmented and virtual reality for the operating crew, giving them real time supplementary information based on two types of simulation, one using models and one using process data and learning procedures, together with rich equipment data, equipment locator, enhanced communication and enhanced data acquisition from supplementary sources as surface and airborne robotic and operator headset additional equipment meant to monitor operator bio-parameters and operator's surrounding environment in order to assure that control is sound and sober, and operators are safe and secure all time providing an optimum high efficiency operation of the controlled process.

A method, apparatus, system, and a computer program product for managing a manufacturing of an object. Work orders for the object that have work areas with less than a minimum safety distance from each other are identified by a computer system. A set of actions is performed by the computer system for the work orders to manage the manufacturing of the object.

A print recording system, including: at least one print recording device; and a computer system that includes a database storing a plurality of print setting information items and is capable of sending and receiving data with respect to the print recording device. The computer system searches the print setting information corresponding to a search condition that is input from the database in accordance with the search condition, repeats the search in accordance with a new search condition when the print setting information does not match the search condition, and sends the print setting information obtained by the search or the repeated search to the print recording device to set the print recording device.

The present invention provides a medical device securement system (10) for releasably anchoring a medical device (C) such as a catheter hub to the skin of a patient. The system (10) comprises a main body having a first section (14) and a second section (16) displaceable relative to one another to translate the system between an undeployed and a deployed state, a skin adhering element in the form of microneedle arrays projecting from a tissue contacting surface of the first section (14) and a second array of microneedles projecting from a tissue contacting surface of the second section (16), a retention device (24) provided on the main body for receiving and engaging the medical device (C), wherein the first section (14) comprises a first base defining the tissue contacting surface and a closure member (20) hingedly articulated relative to the first base.

A print recording system, including: at least one print recording device; and a computer system that includes a database storing a plurality of print setting information items and is capable of sending and receiving data with respect to the print recording device. The computer system searches the print setting information corresponding to a search condition that is input from the database in accordance with the search condition, repeats the search in accordance with a new search condition when the print setting information does not match the search condition, and sends the print setting information obtained by the search or the repeated search to the print recording device to set the print recording device.

A system for detection of an anomaly in a discrete manufacturing process (DMP) with human-robot teams executing a task. Receive signals including robot, worker and DMP signals. Predict a sequence of events (SOEs) from DMP signals. Determine whether the predicted SOEs in the DMP signals is inconsistent with a behavior of operation of the DMP described in a DMP model, and if the predicted SOEs from DMP signals is inconsistent with the behavior, then an alarm is to be signaled. Input worker data into a Human Performance (HP) model, to obtain a state of the worker based on previously learned boundaries of human state. The state of the HW is then input into the HRI model and the DMP model to determine a classification of anomaly or no anomaly. Update a Human-Robot Interaction (HRI) model to obtain a control action of a robot or a type of an anomaly alarm.

The present invention teaches a system having at least one plant system having at least a plurality of agents, having at least a plurality of autonomous mobile robots, movable machinery, and a plurality of sensors for generating data for use for the safety relevant securing of the plant system, wherein a local plant safety system associated with the plant system is present, wherein data of the local plant safety system are stored in a first database, wherein the local plant safety system has a first data model having datasets of the plant system, wherein a decentral public plant library system associated with the local plant safety system is present, wherein the plant safety system and the plant library system are connected to one another via an interface, and wherein data and datasets can be transmitted between the plant safety system and the plant library system via the interface.

A control system for a technical plant includes an operator station server and one operator station client, wherein a data model is implemented on the operator station server and the operator station client has display and control units, where the operator station server transmits visualization information representing the data model to the display unit that generates a graphical presentation of the received visualization information for an operator of the control system, receives commands relating to the data model from the operator and forwards them to the control unit, and where the control unit receives the commands, generates revised visualization information and transmits this information directly to the display unit to adjust the graphical presentation of the display unit, generates adjustment commands from the received commands and transmits them directly to the data model on the operator station server to adjust the data model in response to the operator commands.

A system for detection of an anomaly in a discrete manufacturing process (DMP) with human-robot teams executing a task. Receive signals including robot, worker and DMP signals. Predict a sequence of events (SOEs) from DMP signals. Determine whether the predicted SOEs in the DMP signals is inconsistent with a behavior of operation of the DMP described in a DMP model, and if the predicted SOEs from DMP signals is inconsistent with the behavior, then an alarm is to be signaled. Input worker data into a Human Performance (HP) model, to obtain a state of the worker based on previously learned boundaries of human state. The state of the HW is then input into the HRI model and the DMP model to determine a classification of anomaly or no anomaly. Update a Human-Robot Interaction (HRI) model to obtain a control action of a robot or a type of an anomaly alarm.

A method and system to increase operator awareness for process control application providing operators team real time information on controlled process and equipment immersing them into augmented and virtual reality, provided by a computing system which collects and integrates data from process and equipment, leaving equipment, controls, and procedure unmodified. The method is creating an augmented and virtual reality for the operating crew, giving them real time supplementary information based on two types of simulation, one using models and one using process data and learning procedures, together with rich equipment data, equipment locator, enhanced communication and enhanced data acquisition from supplementary sources as surface and airborne robotic and operator headset additional equipment meant to monitor operator bio-parameters and operator's surrounding environment in order to assure that control is sound and sober, and operators are safe and secure all time providing an optimum high efficiency operation of the controlled process.