A system for rule management, predictive maintenance and quality assurance of a process using automatic rule formation comprising a plurality of sensors capable of being attached to at least one machine for measuring at least one information about the process and machine operation. The system comprises a server connected to the sensors over a wireless communication network and running a reconfigurable rule management program for identifying and processing the particular process and machine information related to at least one process received from the plurality of sensors. A controller in communication with the server capable of controlling the process based on a rule set by the rule engine. The rule engine automatically detects the normal process data, classifies the received data based on the dynamic rule formed by the rule engine and finds anomalies in the process or machine operation for predictive maintenance and process quality assurance.

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 system includes a piece of equipment and an article of personal protective equipment (PPE) associated with a first worker. The PPE establishes a communications channel between the article of PPE and the piece of industrial equipment, receives status information from the piece of industrial equipment via the communications channel, notifies the worker via the PPE of the status information received from the piece of industrial equipment, receives a response from the worker via the PPE, and transmits to the piece of industrial equipment, via the communications channel and based on the response, commands that cause a change in operation of the piece of industrial equipment.

A method of alarm notification includes providing data for an industrial process including stored alarm event data and stored Key Performance Indicator (KPI) data, and an alarm event-KPI correlation and operator notification system. Patterns of relationships are discovered between the stored alarm event and KPI data to provide a reference pattern database that identifies KPI violation events in the KPI data as a function of the alarm event data or alarm events in the alarm event data as a function of the KPI data. Pattern matching uses a real-time alarm event and real-time KPI data to determine a pattern similarity by comparing a current sequence spanning a predetermined time of the real-time alarm event and KPI data to the patterns. When the pattern matching identifies a current alarm event or KPI violation event, an operator is notified and a predicted KPI value or feature or a predicted alarm event.

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 system for rule management, predictive maintenance and quality assurance of a process using automatic rule formation comprising a plurality of sensors capable of being attached to at least one machine for measuring at least one information about the process and machine operation. The system comprises a server connected to the sensors over a wireless communication network and running a reconfigurable rule management program for identifying and processing the particular process and machine information related to at least one process received from the plurality of sensors. A controller in communication with the server capable of controlling the process based on a rule set by the rule engine. The rule engine automatically detects the normal process data, classifies the received data based on the dynamic rule formed by the rule engine and finds anomalies in the process or machine operation for predictive maintenance and process quality assurance.

An intermediary system and processes for controlling cable processing on plural cable processing machines. The intermediary system receives operators' location data, as determined by location sensors; receives from each cable processing machine technical status data based on a physical parameter indicating a capability of the respective machine in executing a cable processing step; forwards an operator request to a wearable audio output device of an operator; and, receives from a particular machine's technical status update when capability for executing a particular cable processing step is restored. The intermediary system has a computing component including: technical status evaluator identifying, based on particular technical status data a need for restoring capability of the respective cable processing machine in executing a cable processing step; a request composition component generating the operator request with voice instructions for the operator, the operator request being based on the identified need, technical status data of other machines, and location data of the operators.

An information processing system includes a first acquisition unit configured to acquire first information indicating a state of a control system including a control device in response to an occurrence of a request or an event related to an abnormality that has occurred in the control system, an abnormality detail determination unit configured to determine details of the abnormality that has occurred on the basis of the first information, a second acquisition unit configured to request, in accordance with the details of the abnormality, a user to provide second information and acquire the second information from the user, a cause conjecture unit configured to conjecture a cause of the abnormality that has occurred on the basis of the first information and the second information, and a notification means configured to notify the user of the conjectured cause of the abnormality.

A method of alarm notification includes providing data for an industrial process including stored alarm event data and stored Key Performance Indicator (KPI) data, and an alarm event-KPI correlation and operator notification system. Patterns of relationships are discovered between the stored alarm event and KPI data to provide a reference pattern database that identifies KPI violation events in the KPI data as a function of the alarm event data or alarm events in the alarm event data as a function of the KPI data. Pattern matching uses a real-time alarm event and real-time KPI data to determine a pattern similarity by comparing a current sequence spanning a predetermined time of the real-time alarm event and KPI data to the patterns. When the pattern matching identifies a current alarm event or KPI violation event, an operator is notified and a predicted KPI value or feature or a predicted alarm event.

A method includes obtaining information associated with multiple events in an industrial process control and automation system, where the information is obtained from one or more sources of data related to the industrial process control and automation system. The method also includes outputting the information to a notification system configured to generate multiple notifications for mobile end-user devices using the retrieved information. Obtaining the information associated with the multiple events includes using one or more queries to obtain at least part of the information from at least one of the one or more sources. The one or more queries support detection of events from the at least one source that is not configured or able to provide event information to the notification system.