Abstract: A field device integration (FDI) system is configured to support the use of OPC UA, OPC UA FX and other flexible (or open) information model based communication protocols in an FDI environment or with an FDI host in a manner that enables the FDI host to fully integrate the support of OPC UA devices with other devices, including other devices that do and that do not support the OPC UA communication protocol. The FDI system design reduces FDI package configuration activities for the OPC UA devices and optimizes the use of the OPC UA data models developed for the OPC UA device within the FDI environment. Still further, the FDI system enables an FDI host to support device communications in both an on-line environment, in which the devices are communicatively connected to the FDI host while operating on-line in a process or factory environment, and in an off-line environment, in which the FDI system simulates or models the operation of a device that is not currently communicatively connected to the FDI host.

Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.

Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.