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: Disclosed is an apparatus for collecting part of an exhaled breath. The apparatus comprises a chamber comprising an internal surface defining a sample collection volume that has been functionalised to not interact chemically or physically with volatile components in the breath, an inlet end and outlet end through which the breath respectively enters and exits the sample collection volume. The apparatus also includes two closures, one at each of the inlet end and the outlet end to control passage of the breath through the respective inlet end or outlet end, the closures being actuated to capture the part of the exhaled breath, and a sampling port accessible from outside the chamber and in communication with the sample collection volume. The chamber is further tapered in its diameter toward each of the inlet end and outlet end to maintain laminar flow through the chamber.

Abstract: Methods, systems, and devices for equipment reading in a factory or plant environment are described, including: capturing an image of an environment including a measurement device; detecting a target region included in the image, the target region including at least a portion of the measurement device; determining identification information associated with the measurement device based on detecting the target region; and extracting measurement information associated with the measurement device based on detecting the target region. In some aspects, detecting the target region may include: providing the image to a machine learning network; and receiving an output from the machine learning network in response to the machine learning network processing the image based on a detection model, the output including the target region.

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 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: The invention enables methods, systems and computer program products for control system optimization. The invention comprises retrieving from an engineering information repository, control system engineering information corresponding to an implemented control system. Based on the retrieved control system engineering information, a plurality of function blocks and function block interconnections corresponding to the implemented control system are identified. At least one group of function blocks is identified from among the plurality of function blocks corresponding to the implemented control system. Identification of the group of function blocks is based on identification of one or more attributes shared by each function block within the identified group of function blocks. The invention thereafter generates a control system topology based on the identified function blocks, identified function block interconnections, and identified group of function blocks.

Abstract: The invention enables methods, systems and computer program products for control system optimization. The invention comprises retrieving from an engineering information repository, control system engineering information corresponding to an implemented control system. Based on the retrieved control system engineering information, a plurality of function blocks and function block interconnections corresponding to the implemented control system are identified. At least one group of function blocks is identified from among the plurality of function blocks corresponding to the implemented control system. Identification of the group of function blocks is based on identification of one or more attributes shared by each function block within the identified group of function blocks. The invention thereafter generates a control system topology based on the identified function blocks, identified function block interconnections, and identified group of function blocks.

Abstract: A system and method of remotely controlling a component of a vehicle using a wearable computing device comprising: viewing an identifying characteristic on the vehicle by the wearable computing device; comparing the identifying characteristic viewed to an identifying characteristic image stored in a memory of the wearable computing device; and sending a command signal from the wearable computing device to the vehicle to control the component when the identifying characteristic viewed corresponds to the identifying characteristic image stored in the memory.

Abstract: A method and system for controlling the operation of a wearable computing device based on one or more transmission modes of a vehicle. The method and system include communicating with the wearable computing device. The method and system additionally include identifying a user classification category. Additionally, the method and system include determining a transmission mode of the vehicle. The method and system also include controlling the operation of the wearable computing device based on the user classification category and the transmission mode of the vehicle.