The embodiments of the present disclosure provide a method for determining a monitoring scheme based on smart gas, wherein the method is executed by an smart gas pipe network safety management platform of a safety monitoring Internet of Things system of pipe network reliability degree, including: obtaining a reliability degree influence feature of a pipe network node from an smart gas pipe network sensor network platform, wherein the reliability degree influence feature includes at least one of an intrinsic feature or an extrinsic feature; 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.

A system for circulating air through double pipes for supplying gas, includes double pipes connected to a gas handling device and supplied with gas; a gas supply unit for supplying gas to the gas handling device through an inner pipe of the double pipes; an air supply unit for supplying air through an outer pipe of the double pipes; and an air suctioning means for suctioning and circulating the air, which is supplied to the outer pipe by the air supply unit, by the introduction of a high pressure fluid. Rather than circulating air through the outer pipe of the double pipes by a fan, air can be circulated through the double pipes for gas supply by a simpler structure and more effective configuration.

This invention relates to a method and system for improved gas delivery for regulating gas at a substantially constant delivery pressure on a consistent basis. The system includes an automated redundant pressure regulation safety feature that is specifically configured along a flow network to significantly reduce the occurrence of pressure surges due to failure of the gas to be regulated to the delivery pressure. By reducing the occurrence of pressure surges and utilizing higher pressure package gas sources, the frequency of changeouts can be lowered.

Disclosed are methods, systems, and computer-readable medium to perform operations including: calculating a rate of flow change per minute in a pipeline of the hydrocarbon production system; determining that the rate of flow change is at least ten percent greater than a predetermined flow change threshold; based on a difference between the rate of flow change and the predetermined flow change threshold, triggering one of a high alarm workflow, a high-high alarm workflow, and a high-high-high alarm workflow; detecting, using the triggered one of the high alarm workflow, the high-high alarm workflow, and the high-high-high alarm workflow, a potential or actual break in the pipeline; and in response, performing a corrective action to avoid the potential break or mitigate the actual break in the pipeline.

A low-frequency acoustic wave generating device for detecting pipeline blockage related to the technical field of pipeline detection is provided and includes a sealing shell configured to be communicated with a pipeline, a sealed pressure environment is formed inside the sealing shell. A low-frequency electroacoustic transducer is disposed inside the sealing shell, the low-frequency electroacoustic transducer is connected to a signal generator and is configured to transmit an acoustic wave into the pipeline. The device transmits the acoustic wave signals to a high-pressure gas pipeline, combined with a signal generator capable of generating any waveform, thereby emitting any waveform of acoustic wave signal into the pipeline. The use of acoustic waves with special markings and characteristics for pipeline blockage detection can improve the anti-noise interference ability of the acoustic wave detection, and improve the precision of the detection.

A monitoring system for monitoring a pipeline can include a sampling unit, a spectroscopy system, and a waste handling system. The sampling unit can include a sampling point for capturing a representative sample of a fluid flow in the pipeline. The spectroscopy system can be configured to chemically analyze the representative sample with respect to components of the fluid flow. Additionally, the spectroscopy system can be configured to detect a corrosive component of the fluid flow. The waste handling system can remove the representative sample from the spectroscopy system.

The embodiment of the present disclosure provides a method for determining a division scheme of a smart gas pipeline network inspection area and an Internet of Things system thereof. The method includes: obtaining area feature information of a target inspection area of a gas network; generating one or more key inspection points in the target inspection area based on the area feature information of the target inspection area; generating one or more candidate division schemes based on the one or more key inspection points; generating a population to be optimized including a first preset count of individuals based on the one or more candidate division schemes; generating a target division scheme; generating one or more inspection zones in the target inspection area based on the target division scheme; and allocating inspection personnel to perform inspection in the one or more inspection zones.

A method is provided for detecting and quantifying leaks in a gas network under pressure or vacuum. The gas network includes one or more sources of compressed gas or vacuum; one or more consumers or consumer areas of compressed gas or vacuum applications; pipelines or a network of pipelines to transport the gas or vacuum; a plurality of sensors which determine one or a plurality of physical parameters of the gas in the gas network. The gas network has controllable or adjustable relief valves and the method involves a training phase and an operational phase.

A control system for a natural gas distribution network, includes: a processing unit suited to communicate, through corresponding signals, with one or more control devices operatively connected to the distribution network; a rechargeable battery which supplies power to the processing unit; a power supply device suited to recharge the rechargeable battery. The power supply device includes: a thermoelectric generator connected to the rechargeable battery; a first heat exchanger and a second heat exchanger respectively in contact with two opposite sides of the thermoelectric generator; a vortex tube which receives part of the natural gas from the distribution network and divides it into a colder portion and into a warmer portion; a first duct suited to convey the colder portion into the first heat exchanger; a second duct suited to convey the warmer portion into the second heat exchanger.

A leakage position analyzing system includes: a first wave motion detector installed in a first pipe; a second wave motion detector installed in a second pipe connected to the first pipe; a wave motion applying device applying a wave motion to the first pipe; and a leakage position calculator calculating a fluid leakage position on the basis of the difference between the time at which the wave motion reaches the first wave motion detector and the time at which the wave motion reaches the second wave motion detector, a length La from the location in which the first wave motion detector is installed to the location of the connection with the second pipe, and a length Lb from the location in which the second wave motion detector is installed to the location of the connection with the first pipe.