A monitoring system for a multiple-walled fluid system with a first walled region including a flowing or stagnant fluid and at least one second walled region at least partially surrounding the first walled region. The first walled region and the at least one second walled region forming the multiple-walled fluid system, the first walled region being in fluid communication with the at least one second walled region, the at least one second walled region also being in fluid communication with the ambient environment. A data processing device for monitoring at least one pressure difference between a pressure in at least one a control volume and at least one second pressure in the at least one second walled region, a first control volume in fluid connection with the first walled region and the ambient environment. The at least one pressure difference indicating the status of the multiple-walled fluid system.

The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for adjusting a pressure of a smart gas pipeline network. The method includes: obtaining gas delivery parameters of a preset point in a gas pipeline branch; obtaining gas data corresponding to the gas pipeline branch; determining an estimated value of a gas loss rate of the gas pipeline branch; determining a confidence level of the estimated value; in response to the confidence level satisfying an update condition, updating the preset point to determine an update point; determining an update confidence level; determining a composite confidence level of the estimated value; determining an adjustment factor; determining the gas loss rate; and in response to the gas loss rate satisfying a first predetermined condition, determining a target operating parameter, and adjusting a pressure of a gas network based on the target operating parameter.

Disclosed is a method and Internet of Things (IoT) system for smart gas pipeline zoning safety supervision, the method includes: determining a plurality of sub-regions by dividing a target region based on a gas pipeline distribution data in the target region; obtaining gas sensor data of each point in the plurality of sub-regions on the gas pipeline; determining, based on the gas sensor data and pipeline data, an actual leakage point on the gas pipeline; determining, based on the gas sensor data and a historical maintenance record, a potential hidden danger point on the gas pipeline. The IoT system includes a government supervision management platform, a government supervision sensor network platform, a government supervision object platform, a gas company sensor network platform, and a gas device object platform that interact in sequence.

Method and an IoT system for gas gate station monitoring are provided. The method includes obtaining operation data of a gas gate station; obtaining a downstream user feature corresponding to the gas gate station and historical warning data corresponding to the gas gate station; determining, based on the downstream user feature and the historical warning data and in combination with the operation data, the associated node in a preset time period, the associated node including at least one of a gate station internal node and an external pipeline network node; obtaining monitoring data of the associated nodes, the monitoring data at least including node monitoring data of the gate station internal node and node monitoring data of the external pipeline network node; and issuing a warning notification in response to the monitoring data not satisfying a preset condition.

A nonmetallic pipe for transporting fluid as part of an underground nonmetallic pipeline is provided. The nonmetallic pipe includes: a nonmetallic outer wall for burying underground and contacting the ground; a nonmetallic inner wall for containing and transporting the fluid as part of the nonmetallic pipeline; a rigid interior between the inner and outer walls for counteracting the fluid forces on the inner wall and the ground forces on the outer wall; hollow core photonic bandgap fibers (HC-PBGFs) embedded in the rigid interior for detecting leakage of the fluid through the nonmetallic pipe, each HC-PBGF including a plastic fiber surrounding a hollow core; and a microchannel fabricated in the plastic fiber of each HC-PBGF to expose the hollow core to an outside of the HC-PBGF.

Leak detection user interfaces are provided. In general, a user interface for a pipeline management system can be configured to provide information regarding one or more pipelines to a user. The information can include data gathered using one or more sensors sensing various parameters. The information on the user interface can include results of analysis of the gathered data, such as notifications that the gathered data indicates an anomaly with a pipeline. The notifications of anomalies can be provided on the user interface in real time with the data analysis. Accordingly, the user can trigger one or more corrective actions such as notifying maintenance personnel local to a location of the identified anomaly, remotely controlling the pipeline with the anomaly to close valve(s) and/or other equipment to prevent fluid flow in the pipeline in the area of the detected anomaly, etc.

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 determine a distribution of solidified process fluid 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.

Controlling flow of gas in a gas pipeline network, wherein flow of gas within each pipeline segment is associated with a direction (positive or negative). Minimum and maximum delivery rates to each gas receipt facility are determined. Lower and upper flow bounds of gas delivery rate are created by bounding minimum and maximum signed flow rates using minimum and maximum delivery rates, respectively, for each pipe segment. A pressure drop relationship for each pipeline segment within the lower and upper flow bounds is linearized to create a linear pressure drop model for each pipeline segment. A network flow solution is calculated, which includes flow rates for each pipeline segment and pressures for each network nodes to satisfy the lower and upper flow bounds on the gas delivery rate. The network flow solution is associated with control element setpoints used by a controller to control one or more control elements.

Devices, systems, and methods of detecting and providing an alert regarding the presence of liquid contamination in a pneumatic supply line and/or in a pneumatic instrument are described. A liquid detection device configured to be coupled to the pneumatic supply includes an electronic liquid sensor configured to detect the presence of liquid in the pneumatic supply and a wireless communicator configured to transmit data from the electronic liquid sensor to a wireless communication node. The liquid detection device may be installed at different locations along a pneumatic supply in a plant. The plant network can forward the transmitted message from the communication node onto a plant computer, where and alert or other message may be provided to an operator or other computer system when water or other liquid is detected.

Controlling flow of gas in a gas pipeline network, wherein flow within each pipeline segment is associated with a direction (positive or negative). Minimum and maximum signed flow rates are calculated for each pipeline segment constituting lower and upper bounds, respectively, for flow in each pipeline segment. A nonlinear pressure drop relationship is linearized within the lower and upper flow bounds to create a linear pressure drop model for each pipeline segment. A network flow solution is calculated, using the linear pressure drop model, and includes flow rates for each pipeline segment to satisfy demand constraints and pressures for each of a plurality of network nodes to satisfy pressure constraints. Lower and upper bounds on the pressure constraint comprise a minimum delivery pressure and a maximum operating pressure, respectively. The network flow solution is associated with control element setpoints used by a controller to control one or more control elements.