An industrial machine management system includes circuitry that collects changeable setting data of an industrial machine, determines, based on the setting data at each time point of multiple time points, whether a change has been made to the setting data, obtains change information regarding the change when the change is determined as having been made to the setting data, determines whether a predetermined event has occurred in the industrial machine, identifies, when the predetermined event is determined as having occurred, the change information such that the change information is related to the predetermined event, and outputs the change information that is identified.

A diagnostic system is provided for diagnosing a process of a plant, using a computing device. A detection unit automatically detects a faulty condition of the process based on a plurality of readings of parameters or measurements associated with the faulty condition for alerting an operator. An analysis unit determines an operating status of the plant based on the plurality of readings of parameters or measurements. A display device graphically links the faulty condition with the plurality of readings of parameters or measurements. A visualization unit displays the operating status of the plant with the readings of parameters or measurements using an alert dashboard grouping related data based on a source of the data for meaningfully illustrating relationships of the displayed data. An alert unit automatically generates a warning message based on the plurality of readings of parameters or measurements to inform the operator of the faulty condition.

An apparatus, method, and non-transitory machine-readable medium provide for accurate automatic determination of alarm-operator action linkage for operator assessment and alarm guidance using custom graphics and control charts. The apparatus includes a memory and a processor operably connected to the memory. The processor receives process control system data regarding a field device in an industrial process control and automation system; extracts information from the process control system data; generates a tuple based on the extracted information; and performs a rectifying operation in the industrial process control and automation system based on the generated tuple of the field device.

For equipment in a production facility, information for more appropriately determining a state of the equipment is presented. The information processing device: receives information indicative of a state of equipment in a production facility (S202); carries out a process of outputting, when the received information indicative of the state of the equipment satisfies a first condition, a first alarm for prompting maintenance of the equipment (S204); carries out a process of outputting, when the information indicative of the state of the equipment satisfies a second condition, a second alarm that indicates occurrence of abnormality or a sign of abnormality in the equipment (S206); and carries out a process of outputting, in a distinguishably recognizable manner, a tendency in which the first alarm is outputted and a tendency in which the second alarm is outputted (S207).

A method includes receiving information associated with an event in an industrial process control and automation system, the information obtained from one or more sources of data related to the industrial process control and automation system. The method also includes determining whether the event has previously occurred. The method also includes responsive to the event previously occurring, generating a notification for a mobile end-user device using the received information associated with the event. The notification includes at least one resolution for the event.

Provided are systems and methods for integrated control and safety systems (ICSSs) that employ intelligent personal protective equipment (PPE). In some embodiments, an industrial plant system includes an industrial safety system (ISS) for monitoring a safety status of an industrial plant and one or more intelligent PPE systems worn by personnel located in the industrial plant. Each of the intelligent PPE systems includes one or more intelligent PPE devices for sensing personal and environmental characteristics of a person wearing the intelligent PPE system, and transmits safety data corresponding to the personal and environmental characteristics sensed. The ISS collects the safety data, determines (based on the safety data) whether a safety incident has occurred and, in response to determining that a safety incident has occurred, executes a response to the safety incident.

A petrochemical plant or refinery may include equipment such as pumps, compressors, valves, exchangers, columns, adsorbers, or the like. Some petrochemical plants or refineries may include one or more sensors configured to collect operation information of the equipment in the plant or refinery. A faulty condition of a process of the petrochemical plant may be diagnosed based on the operation of the plant equipment. A diagnostic system, which may receive operation information from the one or more sensors, may include a detection platform, an analysis platform, a visualization platform, and/or an alert platform.

A petrochemical plant or refinery may include equipment such as pumps, compressors, valves, exchangers, columns, adsorbers, or the like. Some petrochemical plants or refineries may include one or more sensors configured to collect operation information of the equipment in the plant or refinery. A faulty condition of a process of the petrochemical plant may be diagnosed based on the operation of the plant equipment. A diagnostic system, which may receive operation information from the one or more sensors, may include a detection platform, an analysis platform, a visualization platform, and/or an alert platform.

A numerical control device includes an alarm corrective measure operation history information storage unit, an operation history information acquiring unit, an alarm corrective measure operation history information recording unit, and an alarm corrective measure operation history information extracting unit. The alarm corrective measure operation history information recording unit has an alarm corrective measure operation history information recording optimization section, which optimizes information on an operation included in generated alarm corrective measure operation history information to release an alarm, and the alarm corrective measure operation history information extracting unit has an alarm corrective measure operation history information extraction optimization section, which optimizes the extracted alarm corrective measure operation history information to release an alarm.

A numerical controller estimates a machining continuable time before a currently controlled motor overheats if an output of the motor exceeds a continuous rated output and predicts respective execution times of command blocks and the machining continuable time for each command block, for a currently running block and its subsequent command blocks. Based on these predicted data, the numerical controller identifies a command block (alarm generation block) in which the motor overheats and a command block (stop block) in which driving control can be safely stopped, within the range of command blocks from the currently running command block to the alarm generation block.