An intelligent utility monitoring method and system for monitoring a network of utility lines can include a data collector configured to receive acoustic data based on real-time measurements of the utility line, an events historian configured store the acoustic data, an alarm and events (A&E) manager, a server, and an interface. The A&E manager can be configured to store alarm and even data. The A&E data can be based on analysis of the acoustic data. The interface can be configured to provide output based on the acoustic data and on the A&E data. The server can be configured to store the acoustic data and the A&E data. The server can further be configured to provide a computer network for at least the events historian, the A&E manager, and the interface.

The present disclosure provides natural gas pipelines, methods for filling an explosion suppression component, and methods for an explosion suppression experiment. The natural gas pipeline may include a pipeline body and an explosion suppression component. The explosion suppression component may be provided within the pipeline body and may include at least one of a first explosion suppression component and at least one second explosion suppression component. The method may include forming a first explosion suppression component by performing a first process on an explosion suppression material; and forming at least one second explosion suppression component by performing a second process on the explosion suppression material. The first process may include cutting and winding, and the second process may include stacking and cutting seam expansion.

The embodiments of the present disclosure provide a safety monitoring method and a safety monitoring Internet of Things system of pipe network reliability degree based on intelligent gas, wherein the method is executed by an intelligent gas pipe network safety management based on the safety monitoring Internet of Things system of pipe network reliability degree, including: obtaining reliability degree influence feature of a pipe network node; and the reliability degree influence feature include at least one of intrinsic features, and extrinsic features; determining reliability degree of the pipe network node based on the reliability degree influence feature; and determining a monitoring scheme based on the reliability degree of the pipe network node. The monitoring scheme includes a key pipe network node to be monitored.

The embodiments of present disclosure provide methods and systems for corrosion protection optimization of a pipeline of smart gas. The method may be implemented through a smart gas safety management platform of an Internet of Things (IoT) system for corrosion protection optimization of a pipeline of smart gas. The method may include: obtaining inspection data of a gas pipeline in a gas pipeline network, the inspection data including gas monitoring data; determining a corrosion situation of a pipe wall of the gas pipeline based on the inspection data; and determining a repair plan based on the corrosion situation of the pipe wall.

The present disclosure provides a method and an Internet of Things (IoT) system for assessing a loss of a maintenance medium of a smart gas pipeline network. The method comprises: determining a degree of a maintenance impact based on maintenance data; determining a target supply for a maintenance pipeline branch in a target time period based on the degree of the maintenance impact and historical supply data; determining a target demand for the maintenance pipeline branch in the target time period based on historical usage data; determining a target loss in the target time period based on the target supply and the target demand; and determining a replenishment parameter based on the target loss.

A bypass system for respiratory therapy and anaesthesia having a first bypass conduit for receiving a gas flow and for receiving a filtration device. The bypass system also has an activation device for redirecting the gas flow within the first bypass conduit. A second bypass conduit is also present in the bypass system which has a passive control valve to redirect air flow within the second bypass conduit. A conduit interconnects the first and second bypass conduit for providing a passage of gases between the first and second bypass conduits.

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.

A petroleum pipeline safety system for preventing contamination of an environmentally sensitive area close to a pipeline includes an upstream portion of the pipeline supplying a flow of fluid material, a crossing portion of the pipeline receiving the flow of fluid material from the upstream portion and conveying the flow of fluid material through the environmentally sensitive area to a downstream portion of the pipeline, the downstream portion, a pipeline pressure activated valve selectively capable of blocking the flow of fluid material from entering the crossing portion based upon a change in pressure within the crossing portion, and a fluid capacitor connected to the upstream portion configured to filter out a pressure spike in the upstream portion associated with the valve blocking the flow of fluid material.

A system and method for controlling delivery of gas, including a gas pipeline network having at least one gas production plant, at least one gas receipt facility of a customer, a plurality of pipeline segments, and a plurality of control elements, one or more controllers, and one or more processors. The hydraulic feasibility of providing an increased flow rate of the gas to the gas receipt facility of the customer is determined using a linearized pressure drop model. A latent demand of the customer for the gas is estimated using a latent demand model. Based on the hydraulic feasibility and the latent demand, a new gas flow request rate from the customer is received. A network flow solution is calculated based on the new gas flow request rate. The network flow solution is associated with control element setpoints used by a controller to control one or more control elements.

Methods of remotely, selectively controlling the flow rate of fluid moving through a subsea pipeline during dewatering of the pipeline involve a control unit of a subsea valve actuation system selectively, autonomously varying the flow of fluid through a fluid flow conduit of the system fluidly coupled to the pipeline at the pig receiving end thereof based at least partially upon one or more signals emitted by at least one pressure transducer or flow meter fluidly coupled to the fluid flow conduit.