A flow metering system includes a flow meter coupled to a plurality of sensors and configured to measure volume of fluid flowing through the flow meter. The system also includes a metrology computer coupled to the flow meter and the sensors. The metrology computer is configured to receive live values from a plurality of sensors during a first time period, train an artificial intelligence engine based on the live values received during the first time period, and detect a sensor failure based on a deviation between a live value from the sensor and a predicted value for the sensor. The predicted value is based on live values from other of the plurality of sensors and the artificial intelligence engine.

A flow metering system includes a flow meter coupled to a plurality of sensors and configured to measure volume of fluid flowing through the flow meter. The system also includes a metrology computer coupled to the flow meter and the sensors. The metrology computer is configured to receive live values from a plurality of sensors during a first time period, train an artificial intelligence engine based on the live values received during the first time period, and detect a sensor failure based on a deviation between a live value from the sensor and a predicted value for the sensor. The predicted value is based on live values from other of the plurality of sensors and the artificial intelligence engine.

A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include accepting fluid parameter data about a fluid and identifying at least one safety threshold for the fluid. The operations may further include calculating a fluid quality index for the fluid based on the fluid parameter data and analyzing the fluid quality index against the at least one safety threshold to achieve fluid quality testing data. The operations may also include leveraging the fluid quality testing data to control a fluid flow.

A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include accepting fluid parameter data about a fluid and identifying at least one safety threshold for the fluid. The operations may further include calculating a fluid quality index for the fluid based on the fluid parameter data and analyzing the fluid quality index against the at least one safety threshold to achieve fluid quality testing data. The operations may also include leveraging the fluid quality testing data to control a fluid flow.

An autonomous device for measuring at least one characteristic of a fluid circulating in a conduit in a flow direction comprises a permanent magnetic field source, a magneto-electric converter and a processing circuit capable of using the electric charges supplied by the converter to supply a measurement of a characteristic of its environment. The source and the converter are placed in a stator and a rotor forming the device. The autonomous device further comprises attachment means allowing the stator to be fixedly placed in the conduit or at one end of the conduit, in a configuration in which the axis of rotation of the rotor is parallel to the flow direction. A control system may employ at least one such autonomous device.

An optimized, energy-sensitive system and method for fulfilling various data needs of gas utilities. In particular, the disclosure relates to optimized methods for discovering and reacting to an alarm. In one aspect, when an alarm is triggered a telemetry unit automatically alters its operating mode to begin transmitting live pressure reads every minute instead of every hour, as typically performed. This variance in operation eliminates the need for a user to monitor a pipeline system for an incoming alarm and manually request data by initiating a live communication session.

An optimized, energy-sensitive system and method for fulfilling various data needs of gas utilities. In particular, the disclosure relates to optimized methods for discovering and reacting to an alarm. In one aspect, when an alarm is triggered a telemetry unit automatically alters its operating mode to begin transmitting live pressure reads every minute instead of every hour, as typically performed. This variance in operation eliminates the need for a user to monitor a pipeline system for an incoming alarm and manually request data by initiating a live communication session.

A system may automatically control a pipeline heating system to maintain a desired temperature and/or to provide flow assurance of process fluid along a pipeline. The system may identify the occurrence and location of the solidification of a given process fluid or the melting of the given process fluid by monitoring temperatures along the pipeline and identifying from the monitored temperatures the occurrence and location of a latent heat signature associated with the solidification or melting of the given process fluid. The system may calculate and display fill percentages of the solidified process fluid at locations along the pipeline. The system may determine the percentage of a given section of pipeline that is filled with solid and/or liquid process fluid on a meter-by-meter basis. The system may perform automated re-melt operations to resolve plugs of solidified process fluid that may occur in the pipeline.

A system may automatically control a pipeline heating system to maintain a desired temperature and/or to provide flow assurance of process fluid along a pipeline. The system may identify the occurrence and location of the solidification of a given process fluid or the melting of the given process fluid by monitoring temperatures along the pipeline and identifying from the monitored temperatures the occurrence and location of a latent heat signature associated with the solidification or melting of the given process fluid. The system may calculate and display fill percentages of the solidified process fluid at locations along the pipeline. The system may determine the percentage of a given section of pipeline that is filled with solid and/or liquid process fluid on a meter-by-meter basis. The system may perform automated re-melt operations to resolve plugs of solidified process fluid that may occur in the pipeline.

A filter assembly and a method of operating the same to detect water leaks are provided. The filter assembly includes a filter housing for receiving a filter cartridge and at least partially defining a drain trough positioned below the filter cartridge for collecting leaked water. A light source is positioned proximate the drain trough for directing light through the drain trough and a light sensor is positioned proximate the drain trough for sensing the light directed through the drain trough. A controller uses the light sensor to monitor the light generated by the light source and determines that a leak exists when an intensity of sensed light is reduced by the leaked water.