A method for monitoring a pipeline temperature management system includes communicating, via a management console, with a controller of the pipeline temperature management system, where the controller is configured to obtain temperature data from sensors of the pipeline and control application of heat to sections of the pipeline. The method also includes displaying, via a user interface of the management console, a current state of the pipeline based on information from the controller, receiving an alarm notification based on the temperature data, and displaying the alarm notification via the user interface.

The present disclosure provides a method for smart gas pipeline frost heave safety management and an Internet of Things system. The method includes: obtaining gas transmission data and gas pipeline data and determining gas pressure change data of a target point based on the gas transmission data and gas pipeline data; predicting temperature change data of the target point based on the gas pressure change data, the temperature change data including gas temperature change data and soil temperature change data; predicting, based on the temperature change data, the gas pipeline data, and the gas pressure change data, and in combination with environmental data, a frost heave degree data of the target point; and determining, based on the frost heave degree data of the target point, the gas transmission adjustment data and a frost heave prevention plan.

A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

A method, apparatus, and system for stopping a flow of a liquid coolant into, and drawing away a residual portion of the liquid, a portion of a cooling system, e.g., for resistance welding electrodes. The disclosed system does not require more than a single actuator, and in one case uses only a single actuator, coupled to both i) one or more liquid shutoff valves and ii) one or more liquid drawback apparatus. The liquid drawback apparatus draws on the liquid at approximately a same time that the one or more liquid shutoff valves shut off the flow of the liquid from the coolant supply. The liquid drawback apparatus includes a non-return check valve, disposed in the fluid passageway and biased against a normal flow of the liquid from the coolant supply.

Example computer-implemented methods, apparatuses, and systems are described for implementing split range control using Proportional-Integral (PI) control on a process. In some aspects, a feedback signal from the process is received. A proportional control is performed on the feedback signal to generate a first control output while an integral control is performed on the feedback signal to generate a second control output. A first valve of the process is controlled based on the first control output while a second valve of the process is controlled based on the second control output. The second valve has a valve diameter larger than a valve diameter of the first valve.

Example computer-implemented methods, apparatuses, and systems are described for implementing split range control using Proportional-Integral (PI) control on a process. In some aspects, a feedback signal from the process is received. A proportional control is performed on the feedback signal to generate a first control output while an integral control is performed on the feedback signal to generate a second control output. A first valve of the process is controlled based on the first control output while a second valve of the process is controlled based on the second control output. The second valve has a valve diameter larger than a valve diameter of the first valve.

The embodiments of the present disclosure provide a method for safety management of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method is implemented based on a smart gas safety management platform of an Internet of Things system for safety management of a compressor in a smart gas pipeline network. The method comprises: obtaining sound data and a target vibration feature of a gas compressor, and determining a target sound feature based on the sound data; obtaining gas data and device data, and determining a standard sound feature and a standard vibration feature based on the gas data and the device data; and predicting whether there is a safety hazard in the gas compressor based on the target vibration feature and the standard vibration feature, or based on the target sound feature and the standard sound feature.

The embodiments of the present disclosure provide a method for safety management of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method is implemented based on a smart gas safety management platform of an Internet of Things system for safety management of a compressor in a smart gas pipeline network. The method comprises: obtaining sound data and a target vibration feature of a gas compressor, and determining a target sound feature based on the sound data; obtaining gas data and device data, and determining a standard sound feature and a standard vibration feature based on the gas data and the device data; and predicting whether there is a safety hazard in the gas compressor based on the target vibration feature and the standard vibration feature, or based on the target sound feature and the standard sound feature.

The pump systems (pump+driver) used in a pump station are selected based on the type of fluid or batch. The selection is of the more efficient pump systems for that batch. Less efficient pumps are avoided. When a new batch is detected, the selection is performed again for that new batch, which may result in a different combinations of pump systems for a given pump station. If variable speed pump drives are available, the efficiency at the desired speed is used for selection. The cost of energy (utilities) by pump station may alternatively or additionally be used to select the speed or combination of pump systems. The pump station and pipeline operation is optimized for efficiency of pump systems and/or cost of energy (utilities) for the different pump systems based on pipeline inventory and local utilities tariffs.