A method and an unmanned aerial vehicle for identifying and remediating a gas leak. The method includes flying the unmanned aerial vehicle towards a possible location of the gas leak, then detecting a first condition indicative of the gas leak with a first sensor and sensing environmental conditions near the gas leak with an environmental sensor. The method includes receiving, by a controller, a signal representing the first condition indicative of the gas leak and a signal representing the environmental conditions. The method includes determining, based on the first condition indicative of the gas leak and the environmental conditions near the gas leak, a flight plan including an ignition zone. The method includes positioning, based on the flight plan, the unmanned aerial vehicle relative to the ignition zone and discharging, by an ignition mechanism, an ignition source into the gas leak to ignite the gas leak.

A method, an Internet of Things system, and a storage medium for assessing a smart gas emergency plan are provided, the method is executed by a smart gas safety management platform of the Internet of Things system. The method may include: obtaining a gas pipeline network warning information distribution of a gas pipeline network, the warning information distribution including warning information of at least one warning point location; obtaining gas monitoring data of at least one associated point location corresponding to the at least one warning point location; determining at least one emergency processing point based on the warning information distribution and the gas monitoring data of at least one associated point location; and determining a deployment plan for a gas emergency vehicle based on a gas supply blockage range of the at least one emergency processing point.

The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for gas loss control based on a smart gas platform. The method is executed by a smart gas device management platform of the IoT system. 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 a gas loss rate of the gas pipeline branch based on the gas delivery parameters and the gas data; and in response to the gas loss rate satisfying a first predetermined condition, adjusting a pressure of a gas pipeline network.

A method, an Internet of Things (IoT) system, and a storage medium for smart gas abnormal data analysis are provided. The method may include: obtaining a user feature and a pipeline network transportation feature of each of a plurality of gas users; obtaining a first clustering result and a second clustering result by clustering the gas user based on the user feature and the pipeline network transportation feature respectively, the first clustering result and the second clustering result including one or more gas user clusters, respectively; for any one of the gas user clusters: determining, based on device use data and/or gas metering data of the gas user in the gas user cluster, a potential abnormal gas user; determining a target abnormal user based on the first abnormal user and the second abnormal user; and sending an early warning message to the target abnormal user.

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.

A method for determining the average distance between a measurement device and a conductor includes determining a profile of a horizontal component using the horizontal position of the device that indicates the orthogonal distance between the device and the longitudinal axis of the conductor parallel to the earth's surface, measured at at least two different horizontal positions, determining a profile of the vertical component, which is associated with the determined profile of the horizontal component, using the horizontal position of the device, wherein the vertical profile is determined by measuring the vertical components associated with the horizontal components, determining the ratio of the profiles as a function using the horizontal position of the device, determining the derivative of the ratio according to the horizontal position, determining the reciprocal of the derivative, and determining the average distance between the devices and the conductor from the reciprocal of the derivative.

The present disclosure provides a method for smart gas pipeline life prediction based on safety. The method includes: obtaining the operation information of the target gas pipeline section within the first time period; determining, based on operation information, the first performance parameter of the target gas pipeline section of at least one moment within the first time period, the first performance parameter including at least the transport performance of the target gas pipeline section within the first time period; determining, based on the first performance parameter of at least one moment, the first performance parameter sequence of the target gas pipeline section within the first time period, the first performance parameter sequence being the sequence obtained by arranging the first performance parameters of at least one moment in chronological order; and determining, based on the first performance parameter sequence, the remaining life of the target gas pipeline section.

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 present disclosure provides a method, an Internet of Things (IoT) system, and a medium for presetting emergency devices of smart gas. The method comprises determining gas supply and demand features based on node data and downstream user features of a gas pipeline network. The method also comprises determining a plurality of gas emergency regions based on the gas supply and demand features, and continuously obtaining location data and carrying data of a plurality of emergency devices. The method further comprises determining a dynamic deployment scheme for the plurality of emergency devices based on the plurality of gas emergency regions, the location data, and the carrying data, the dynamic deployment scheme including locations of the plurality of emergency devices of at least one time point, generating a movement instruction based on the dynamic deployment scheme, and sending the movement instruction to the plurality of emergency devices.

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.