Abstract:
An operation and observation system of a technical plant and/or a technical process and associated method are provided for operating components and for displaying measurement readings, process variables and/or status messages of the components of the plant and/or process. The system includes at least one large screen for displaying the components of the technical process and/or technical plant, and a plurality of operator workstations. A movement detection and movement control component is installed on the screen and on the operator workstations, which allows an operation and/or polling of the components, the measurement readings, the process variables and/or the status messages of the components of the technical plant or of the technical process by means of a body movement of an operator.
Abstract:
The disclosure relates to a safety device and a method for detecting and evaluating the degree of attention of an operator of a technical installation or a technical process, which includes a first module which records values of predefined physiological parameters of the operator and determines a first characteristic number from the recorded values, compares the determined first characteristic number with a predefined first characteristic value, which activates a second module which records further values provided by a checking or triggering mechanism. The second module determines a second characteristic number for the degree of attention of the operator from the recorded further values, compares the second characteristic number with at least one second predefined characteristic value, which triggers an activation module in order to take countermeasures which increase the attention of the operator of the installation.
Abstract:
The disclosure relates to a method and system for intelligent visualization in the monitoring of process and/or system data used in technical processes and in the operation of technical systems. The behavior of signals in the past is analyzed and used for a future optimized visualization. Continuously running online algorithms support the system operator by detecting and correspondingly highlighting deviations from the historically observed signal patterns.