An apparatus for alarm information determination includes: an input unit; a processing unit; and an output unit. The input unit provides the processing unit with historical process control data, the process control data including a plurality of data signals, a plurality of alarm data, and data relating to an event of interest. The processing unit determines a plurality of correlation scores for the plurality of data signals paired with the plurality of alarm data, a correlation score being determined for a data signal paired with an alarm data, a high correlation score indicating a higher degree of correlation than a low correlation score. The processing unit identifies at least one first alarm data from the plurality of alarm data, the identification including utilization of the data relating to the event of interest.

A method and apparatus for generating an interactive interface on a display of an aircraft comprising: determining that an aircraft system has a faulty condition, the aircraft system comprising a plurality of system functions, the system functions being independently 5 actuatable, the determining comprising: generating an indication of which one of the system functions is associated with the faulty condition; generating the interactive interface, the interactive interface comprising a visual representation of a control panel, the control panel comprising a plurality of actuatable switches, each one of the actuatable switches being associated with a corresponding one of the system functions, the generating comprising: 0 determining, based on the indication, which one of the actuatable switches is to be associated with a visual faulty status, and displaying, on the display, the interactive interface comprising the visual faulty status.

A method that includes obtaining a sensor reading from a sensor installed inside an underground vault and determining whether the sensor reading is indicative of an alarm state. When the sensor reading is indicative of the alarm state, the method obtains at least one new reading and determines whether the sensor reading includes sensor drift based at least in part on the at least one new reading. The alarm state is established when the sensor reading is determined not to include sensor drift. The sensor drift is removed when the sensor reading is determined to include sensor drift.

A method that includes obtaining a sensor reading from a sensor installed inside an underground vault and determining whether the sensor reading is indicative of an alarm state. When the sensor reading is indicative of the alarm state, the method obtains at least one new reading and determines whether the sensor reading includes sensor drift based at least in part on the at least one new reading. The alarm state is established when the sensor reading is determined not to include sensor drift. The sensor drift is removed when the sensor reading is determined to include sensor drift.

Embodiments of the invention include a system and method capable of generating an operations management interface enabling monitoring of distributed components of a process control application. The operations management interface can include a customizable display enabling operators to prepare decisions based on a context-based three-dimensional representation of the distributed components. The operations management interface display includes controls for manipulating graphically displayed representations of data rendered by the distributed components, and an interface for exchanging requests and data through data links to one or more distributed data-linked components. Some selectable displayed information in the operations management interface window can include locations, interconnection layout and hierarchy, and specifications, and datasheets of distributed components.

In a production system, a control unit controls a first apparatus configured to start to operate after a waiting time and a second apparatus configured to starting to operation after a waiting time. A first sensor outputs a value that changes in response to operation of the first apparatus. A second sensor outputs a value that changes in response to operation of the second apparatus. The control unit compares a first time period from a starting of the operation of the first apparatus to an occurrence of a change in the value of the first sensor with a predetermined first threshold value, and compares a second time period from a starting of the operation of the second apparatus to an occurrence of a change in the value of the second sensor with a predetermined second threshold value.

In a production system, a control unit controls a first apparatus configured to start to operate after a waiting time and a second apparatus configured to starting to operation after a waiting time. A first sensor outputs a value that changes in response to operation of the first apparatus. A second sensor outputs a value that changes in response to operation of the second apparatus. The control unit compares a first time period from a starting of the operation of the first apparatus to an occurrence of a change in the value of the first sensor with a predetermined first threshold value, and compares a second time period from a starting of the operation of the second apparatus to an occurrence of a change in the value of the second sensor with a predetermined second threshold value.

A collected current monitoring device is provided which includes a current-value obtaining unit that obtains a current value I1 and a current value I2, a first RMS-calculation unit that calculates a root mean square RMS1, a second RMS-calculation unit that calculates a root mean square RMS2, an Iu calculation unit that calculates an imbalance current Iu, a change calculation unit that calculates an amount of change Iu, an average calculation unit that calculates a time average value aveIu, a determining unit that determines whether the time average value aveIu is larger than a threshold value, and a signal output unit that outputs an abnormality signal when the time average value aveIu is larger than the threshold value.

Industrial technical plant controlled and monitored by a process control, wherein a visualization system requests a history of selected process datum for that display period from a process control system and outputs the associated profile as a graphic forming process data points, where the visualization system determines the particular process data point as the average or median of the values of the selected process datum in a collection period characteristic of the particular process data point and where, for the particular process data point, the visualization system also determines the minimum and/or the maximum values of the selected process datum during the collection period such that whenever the minimum is below a predefined minimum value and/or the maximum exceeds a predefined maximum value, the visualization system indicates, together with the particular process data point, a secondary alarm not set by the process control system, but set by the visualization system.

Techniques are described for graph-based analysis of data generated on sensor networks, such as Internet-of-Things (IoT) networks. Data may be collected from various computing devices, or sensors, on a network. The data is discretized and analyzed to provide a graphical representation of at least a portion of the data. In some instances, the graph may be determined based on various relationships between nodes that correspond to discrete portions of the data, and the relationships between nodes may be time-based correlations between the data of the nodes. The graph accumulates, compresses, and organizes the data to enable efficient data visualization, analysis, alert generation, and/or other activities. A previously generated version of a graph may be compared to a current version to identify a changing situation, such as new usage of the monitored devices, failure or anomalous behavior of the devices, and so forth.