G05B2219/33273

DEVICE SYSTEM, INFORMATION PROCESSOR, TERMINAL DEVICE, AND ABNORMALITY DETERMINING METHOD
20170060122 · 2017-03-02 · ·

A device system includes a terminal device which is usable by a plant worker, and an information processor which is connectable to the terminal device through a network. The terminal device includes a collector configured to collect a detection result from a sensor which detects a state around a device installed in a plant, and a communicator configured to transmit the detection result collected by the collector to the information processor. The information processor includes a storage which stores teacher data in which past detection results obtained by the sensor and data representing whether or not an abnormality exists in the device are associated with each other, and an analyzer configured to determine whether or not an abnormality exists in the device based on the detection result transmitted from the communicator and the teacher data stored in the storage.

Unified communications module (UCM)

A fault tolerant control system delivers an embedded functional safety core and a distributed control engine with an onboard communication link in an industrial process control environment. The fault tolerant control system includes a process control workstation connected to a first network and a fault tolerant safety controller connected to a second network, wherein a process controller module, a safety controller module and a field device system integration module are co-located on a power interface board.

SYSTEM CONFIGURATION MANAGEMENT USING ENCAPSULATION AND DISCOVERY
20170010588 · 2017-01-12 · ·

System configuration management using encapsulation and discovery is provided. The configuration management may include requesting, by a first electronic control unit comprising a processor, feature information associated with a second electronic control unit. The feature information may include data related to a set of features implemented by the second electronic control unit. The configuration management may also include loading, by the first electronic control unit, an internal control for a first feature of the set of features based on a determination that the first feature is not loaded on the first electronic control unit.

INFORMATION PROCESSING APPARATUS, VISUALIZATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM
20250292461 · 2025-09-18 ·

An information processing apparatus includes a memory and a processor coupled to the memory and the processor configured to extract an actual measurement value of a resource used by a function included in a system from a log file acquired from the system calculate a score of the function on a basis of the actual measurement value of the resource used by the function and an upper limit value of the resource available by the function generate information visualizing the score of the function and display the information.

DISTRIBUTED CONTROL NODE (DCN) REDUNDANCY
20250298394 · 2025-09-25 ·

Methods, systems, and apparatus for implementing a redundant DCN system over a process automation network. In one aspect, a redundant DCN system includes a primary DCN, a backup DCN, and a keep alive process configured to determine whether the primary DCN becomes unavailable, wherein in response to the primary DCN being determined as unavailable, the backup DCN is reassigned as a new primary DCN, and assumes functions previously executed by the former primary DCN. Each DCN in the redundant DCN system may have a unique virtual IP address or transfer a common virtual IP address. Virtual IP addresses may impact communications between DCNs and other devices.

DCS Software Troubleshooting Assistant

A method for supporting troubleshooting software and hardware issues in a distributed control system (DCS) associated with an automation equipment in industrial plant includes monitoring data; detecting an anomaly in the monitored data based on predetermined anomaly detection rules; based on a result of the detecting, performing, for a detected anomaly, a similarity search on historic anomaly data associated with the DCS and/or the automation equipment; based on a result of the performed similarity search, querying a large language model (LLM) for diagnosis and/or recommendation for troubleshooting the detected anomaly; based on the querying, obtaining an output from the LLM, wherein the output is indicative of a diagnosis and/or recommendation for troubleshooting the detected anomaly; and providing the output to a user.