Abstract: A method for detecting point anomaly in a text data is disclosed. The method may include tokenizing text input comprising a plurality of text entities into a plurality of tokens, annotating, by the point anomaly detection device, the plurality of tokens, based on one or more annotation parameters. One or more annotation parameters comprise a part-of-speech, a sentiment polarity, a negation statement, and domain rules. The method further includes identifying from one or more annotated tokens, at least one of: one or more anomaly subject tokens, one or more anomaly type tokens, and one or more action type tokens from plurality of tokens. The method further includes generating inferences based on the identified one or more anomaly type tokens, the one or more action type tokens from the plurality of tokens, and the one or more annotation parameters.

Abstract: A method comprises identifying an alarm event pattern within a log of alarm events that occur within a process control system, determining that a current alarm event within the process control system belongs to the alarm event pattern, determining one or more actions for resolving the current alarm event based on the alarm event pattern, and implementing the one or more actions to resolve the current alarm event.

Abstract: A method of implementing membrane cleaning is provided. The method includes accessing a membrane resistance record, where the membrane resistance record includes a plurality of membrane resistance curves, each of the plurality of membrane resistance curves includes a curve profile after a cleaning. The method further includes performing a first cleaning, determining a first membrane resistance after the first cleaning, determining a current position on the curve profile based on the first membrane resistance and a time period from a previous cleaning, and performing a second cleaning. The second cleaning may include a recovery cleaning when the current position on the curve profile exceeds a predetermined range, and a maintenance cleaning when the current position on the curve profile is within the predetermined range.

Abstract: Methods, systems, and devices for equipment monitoring and fault prediction are described, including: receiving measurement data associated with a set of equipment; providing at least a portion of the measurement data to a machine learning network; receiving an output from the machine learning network in response to the machine learning network processing at least the portion of the measurement data; and outputting a notification based on the output from the machine learning network, the notification including an indication of the predicted status. The processing of at least the portion of the measurement data may be based on a predictive model associated with the set of equipment. The output from the machine learning network may include a predicted status of the set of equipment.

Abstract: Methods, systems, and computer program products for automated fault monitoring and detection in a system. The fault detection method comprising receiving real-time device measurement data from a plurality of input and/or output devices in the system; identifying at least one relationship that correlates the real-time device measurement data to a set of parameters that define operation of the system; calculating a performance indicator for the system based on the real-time device measurement data using the identified at least one relationship; and if the performance indicator is outside a predetermined range, then an anomaly is detected in the system. The fault detection method further comprises: identifying a faulty device among the plurality of input and/or output devices; and reporting the identified faulty device.

Abstract: Systems and methods are provided that may be implemented as an identity management system to provide a single sign on to a master website and silent authentication for subservient websites. The identity management system may include an identity provider server and a user management server. The identity provider server may authenticate a user, redirect an authenticated user to the user management server, and receive and verify a silent authentication request including a cryptographic signature and a modified message on behalf of the authenticated user from the user management server.

Abstract: Methods, systems, and devices for equipment monitoring and fault prediction are described, including: receiving measurement data associated with a set of equipment; providing at least a portion of the measurement data to a machine learning network; receiving an output from the machine learning network in response to the machine learning network processing at least the portion of the measurement data; and outputting a notification based on the output from the machine learning network, the notification including an indication of the predicted status. The processing of at least the portion of the measurement data may be based on a predictive model associated with the set of equipment. The output from the machine learning network may include a predicted status of the set of equipment.

Abstract: A distributed storage system includes a primary storage system and a secondary storage system. The secondary storage system stores the actual data and the primary storage system stores metadata for the actual data. The metadata references at the primary storage system may be deleted without deleting the corresponding data at the secondary storage system. Snapshots of the metadata at the primary storage system are sent to the secondary storage system. The secondary storage system can compare two metadata snapshots received from the primary storage in order to determine whether data stored at the secondary storage system has been deleted at the primary storage system for longer than a retention period. Such data may be deleted to free up storage space at the secondary storage server.

Abstract: A method comprises identifying an alarm event pattern within a log of alarm events that occur within a process control system, determining that a current alarm event within the process control system belongs to the alarm event pattern, determining one or more actions for resolving the current alarm event based on the alarm event pattern, and implementing the one or more actions to resolve the current alarm event.

Abstract: A distributed storage system includes a primary storage system and a secondary storage system. The secondary storage system stores the actual data and the primary storage system stores metadata for the actual data. The metadata references at the primary storage system may be deleted without deleting the corresponding data at the secondary storage system. Snapshots of the metadata at the primary storage system are sent to the secondary storage system. The secondary storage system can compare two metadata snapshots received from the primary storage in order to determine whether data stored at the secondary storage system has been deleted at the primary storage system for longer than a retention period. Such data may be deleted to free up storage space at the secondary storage server.

Abstract: Systems and methods are provided that may be implemented as an identity management system to provide a single sign on to a master website and silent authentication for subservient websites. The identity management system may include an identity provider server and a user management server. The identity provider server may authenticate a user, redirect an authenticated user to the user management server, and receive and verify a silent authentication request including a cryptographic signature and a modified message on behalf of the authenticated user from the user management server.

Abstract: The present invention discloses a method for controlling a process in a process plant using a controller. The method comprises receivable associated with the process, determining a first value of at least one key performance indicator associated with the transition from the process data of the first process variable between the first steady state and the second steady state, comparing the determined first value of the at least one key performance indicator against a threshold value of the at least one key performance indicator; and determining a correction factor for modifying a set point of the process variable based on the comparison, for controlling the process.

Abstract: Unique systems, methods, techniques and apparatuses of an alarm management system are disclosed herein. One exemplary embodiment is a method for monitoring an industrial plant comprising determining a sequence of alarm events for each of a plurality of time intervals including a first alarm event of a plurality of alarm events and a second alarm event of the plurality of alarm events; determining a count of the first alarm events and second alarm events; determining the alarm events exceed a support threshold value; determining a third count of a sub-sequence of the sequences of alarm events including the first alarm event followed by the second alarm event in response to determining the first count and the second count exceeds the support threshold value; determining a ratio using the first count, the second count, and the third count exceeds a display threshold value; and displaying the sub-sequence.

Abstract: The invention provides a method for identifying a sequence of events associated with a condition in a process plant using a control system. The method comprises recording process data, which is timestamped, and recording audio input from each personnel of a plurality of personnel of the process plant. The audio input is synchronized according to time with the process data. A keyword is identified from the temporally synchronized content of each audio input, and compared with the process information of one or more of an event and an equipment, for identifying at least one of a new process information and a supplementary process information related to the condition. One or more of the new process information and the supplementary process information identified for each keyword, and the plurality of events identified from the process data, are used for identifying the sequence of events associated with the condition.

Abstract: Embodiments include an event services modeling framework. The event services modeling framework includes an event services modeling editor that provides a user interface and mechanism for users to model and customize event flow configurations within a system and/or network. The user interface can be used to connect events with actions that will take place in response to the events. The system components and/or modules that need to receive the information from the events can then react and respond appropriately. Users can modify event configurations based on their own particular needs. the event services editor can be used for generating one or more event services models. The event services models may include events, conditions (rules) for processing the events, activities to be perform during event processing, subscriber modules defined for performing the activities during event processing, and a specified time for processing the events in each modeled event flow.

Abstract: Unique systems, methods, techniques and apparatuses of an alarm management system are disclosed herein. One exemplary embodiment is a method for monitoring an industrial plant comprising determining a sequence of alarm events for each of a plurality of time intervals including a first alarm event of a plurality of alarm events and a second alarm event of the plurality of alarm events; determining a count of the first alarm events and second alarm events; determining the alarm events exceed a support threshold value; determining a third count of a sub-sequence of the sequences of alarm events including the first alarm event followed by the second alarm event in response to determining the first count and the second count exceeds the support threshold value; determining a ratio using the first count, the second count, and the third count exceeds a display threshold value; and displaying the sub-sequence.

Abstract: A method for reconciling transactions iteratively by segregating data into homogeneous data sets. The method includes acquiring transactions from two or more systems and comparing with a set of configurable predefined matching rules. Applying, based on the result of the comparison, one or more rules on the acquired transactions. The transactions of the two or more systems are scanned and a user defined function is applied on the transactions of the two systems. A value of the user defined function is calculated. If the value of the user defined function is residual value, a configurable criteria is applied on the value of the user defined function. A residual transaction is created in one of the systems and the value of the user defined function is recalculated. If the value of the user defined function is null value, indicates the transactions are reconciled.

Abstract: Embodiments include an event services modeling framework. The event services modeling framework includes an event services modeling editor that provides a user interface and mechanism for users to model and customize event flow configurations within a system and/or network. The user interface can be used to connect events with actions that will take place in response to the events. The system components and/or modules that need to receive the information from the events can then react and respond appropriately. Users can modify event configurations based on their own particular needs. the event services editor can be used for generating one or more event services models. The event services models may include events, conditions (rules) for processing the events, activities to be perform during event processing, subscriber modules defined for performing the activities during event processing, and a specified time for processing the events in each modeled event flow.

Abstract: The present invention discloses a method for controlling a process in a process plant using a controller. The method comprises receivable associated with the process, determining a first value of at least one key performance indicator associated with the transition from the process data of the first process variable between the first steady state and the second steady state, comparing the determined first value of the at least one key performance indicator against a threshold value of the at least one key performance indicator; and determining a correction factor for modifying a set point of the process variable based on the comparison, for controlling the process.

Abstract: The invention provides a method for identifying a sequence of events associated with a condition in a process plant using a control system. The method comprises recording process data, which is timestamped, and recording audio input from each personnel of a plurality of personnel of the process plant. The audio input is synchronized according to time with the process data. A keyword is identified from the temporally synchronized content of each audio input, and compared with the process information of one or more of an event and an equipment, for identifying at least one of a new process information and a supplementary process information related to the condition. One or more of the new process information and the supplementary process information identified for each keyword, and the plurality of events identified from the process data, are used for identifying the sequence of events associated with the condition.