Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a purification parameter of gas in a storage and distribution station. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform. The method is executed by a processor of the smart gas device management platform. The method includes: predicting at least one group of recommended operation parameters and at least one effect score corresponding to the at least one group of recommended operation parameters through a recommended operation parameter prediction model; determining an operation parameter in a purification process; and generating a remote control instruction and sending the remote control instruction to the smart gas object platform for performing a purification operation of the raw gas.

Abstract: The embodiments of the present disclosure provide a method for troubleshooting potential safety hazards of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method comprises: performing a purification process on sound data of a gas compressor, and determining a target sound feature; establishing a feature data vector library based on networked data and reference device data; determining a current gas data vector and a current device data vector based on gas data and device data, respectively; searching the feature data vector library based on the current gas data vector and the current device data vector, and determining a reference sound feature and a reference vibration feature that meet a preset condition as a standard sound feature and a standard vibration feature; and predicting whether there is a safety hazard in the gas compressor using a hazard model.

Abstract: The present disclosure provides a method for noise control based on a smart gas platform, wherein the method is executed by a smart gas safety management platform of an Internet of Things (IoT) system for noise control based on the smart gas platform, comprising: obtaining noise data of a gas field station through a sound sensor, the sound sensor being arranged at least one monitoring position of the gas field station, and any one monitoring position having a corresponding monitoring period; determining noise change features of the at least one monitoring position based on the noise data; and determining target operating parameters of the gas field station based on the noise change features, the target operating parameters including a target gas flow rate of a gas pipeline in the gas field station.

Abstract: The embodiments of the present disclosure provide a method for predicting gas transmission loss of smart gas, implemented by a smart gas equipment management platform of an Internet of Things (IoT) system for predicting gas transmission loss of smart gas, comprising: obtaining gas flow data, gas pressure data, and ambient temperature data of a plurality of time points respectively based on gas metering devices, pressure detection devices, and temperature monitoring devices at a plurality of positions of a gas pipeline network; predicting a gas metering error based on the ambient temperature data; determining whether gas loss is abnormal loss based on the gas flow data, the gas pressure data, and the gas metering error; and in response to a determination that the gas loss is the abnormal loss, sending a warning notice.

Abstract: 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.

Abstract: Methods and systems are provided for ranking search results and generating a presentation. In some implementations, a search system generates a presentation based on a search query. In some implementations, a search system ranks search results based on data stored in a knowledge graph. In some implementations, a search system identifies a modifying concept such as a superlative in a received search query, and determines ranking properties based on the modifying concept.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for gas purification management in a storage and distribution station for smart gas. The method is implemented based on the IoT system for gas purification management in the storage and distribution station for smart gas. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform. The method is executed by the smart gas device management platform. The method includes: obtaining a gas quality condition parameter of a raw gas, and the gas quality condition parameter being obtained based on the storage and distribution station; determining, based on the gas quality condition parameter, an operation parameter in a purification process, the operation parameter being used for a purification operation of the raw gas.

Abstract: 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.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a gas meter measurement failure of a smart gas, the method including: by the smart gas data center, obtaining, based on the smart gas sensing network platform, gas flow information of pipelines of each level from at least one flow monitoring device, the at least one flow monitoring device being configured in the smart gas object platform; by the indoor smart gas device management sub-platform, determining a candidate area based on the gas flow information; determining a target gas meter based on gas meter reading information of the candidate area, and then determining a maintenance plan for the target gas meter; and sending the maintenance plan to the smart gas data center, and sending the maintenance plan to the smart gas user platform based on the smart gas service platform.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for operation and management of a smart gas data center. The method is implemented by a smart gas management platform, comprising: obtaining gas data to be stored and downstream user features corresponding to the gas data to be stored; determining a data redundancy level of the gas data to be stored based on the gas data to be stored and the downstream user features; generating redundant data blocks of the gas data to be stored based on the data redundancy level; and storing the gas data to be stored and the redundant data blocks in at least one target region of the smart gas data center.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a gas meter measurement failure of a smart gas, the method including: by the smart gas data center, obtaining, based on the smart gas sensing network platform, gas flow information of pipelines of each level from at least one flow monitoring device, the at least one flow monitoring device being configured in the smart gas object platform; by the indoor smart gas device management sub-platform, determining a candidate area based on the gas flow information; determining a target gas meter based on gas meter reading information of the candidate area, and then determining a maintenance plan for the target gas meter; and sending the maintenance plan to the smart gas data center, and sending the maintenance plan to the smart gas user platform based on the smart gas service platform.

Abstract: The present disclosure provides a method for determining a gas pipeline network opening scheme based on smart gas, which is performed by a smart gas management platform. The smart gas management platform comprises a smart user service management sub-platform, a smart operation management sub-platform and a smart gas data center. The method comprises: obtaining, by the smart gas data center, a region feature of each region within a target range through a smart gas sensing network platform; determining, by the smart operation management sub-platform, a gas demand degree of the each region based on the region feature of the each region; determining, by the smart operation management sub-platform, a region as a first-class region based on the gas demand degree in the region meeting a preset condition, and determining the gas pipeline network opening scheme for the region.

Abstract: This present disclosure provides a method for regulating a rated outlet pressure of a gate station compressor for smart gas, which is implemented based on an Internet of Things system for regulating a rated outlet pressure of a gate station compressor for smart gas. The method includes: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type and at least one of downstream flow prediction values of a plurality of future moments, wherein the downstream flow prediction values are obtained by a downstream flow prediction model based on a historical downstream flow sequence; obtaining operation parameters of a compressor, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

Abstract: The disclosure provides a method for gas leakage emergency treatment based on indoor safety and a smart gas Internet of Things system. The method includes obtaining a gas data of a first area from at least one gas detection device; obtaining the gas data of the first area from a smart gas data center, predicting a gas concentration of a second area; judging whether the gas leakage occurs and determining a diffusion range of the gas leakage, and determining an emergency treatment plan; sending gas leakage information to the smart gas data center, and sending the gas leakage information to a smart gas user platform; and generating a remote control instruction based on the emergency treatment plan and sending the remote control instruction to the smart gas data center, and sending the remote control instruction to an indoor gas device object platform to execute control.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things system for platform work order linkage processing based on a smart gas operation. The method includes: extracting work order features of work orders to be assigned, and the work order features including at least one of a gas failure type, a gas failure repairing difficulty, a gas failure location, a gas failure repairing material requirement, a work order urgency level, or a required work order completion time; determining at least one linked work order set based on the work order features, wherein the linked work order set includes at least one work order to be assigned; extracting a set feature of each linked work order set in the at least one linked work order set; and determining an assignment scheme of the linked work order set and planning a linkage processing scheme.

Abstract: The present disclosure provides a preset management method of a gas pipeline network for a smart gas, which is performed by a smart gas management platform. The smart gas management platform comprises a smart user service management sub-platform, a smart operation management sub-platform and a smart gas data center. The method comprises: obtaining, by the smart gas data center, a region feature of each region within a target range through a smart gas sensing network platform; determining, by the smart operation management sub-platform, a gas demand degree of the each region based on the region feature of the each region; determining, by the smart operation management sub-platform, a region as a first-class region based on the gas demand degree in the region meeting a preset condition, and determining a gas pipeline network opening scheme for the region.

Abstract: The embodiments of the present disclosure provide a method for optimizing smart gas work order scheduling implemented by an Internet of Things system for optimizing smart gas work order scheduling, the Internet of Things system includes a smart gas user platform, a smart gas service platform, and a smart gas management platform that interact in sequence, wherein the method is executed by the smart gas management platform, and a smart gas service sub-platform may generate a work order to be assigned based on a gas processing request. The gas processing request refers to a request that is sent by the user to process a gas-related problem. The gas-related problems may include fault reporting, service complaint, gas device function inquiry, gas new product inquiry, etc.

Abstract: The disclosure provides a method for predicting gas leakage based on indoor safety and a smart gas Internet of Things system. The method includes obtaining a gas data of a first area from at least one gas detection device; obtaining the gas data of the first area from a smart gas data center, predicting a gas concentration of a second area; judging whether the gas leakage occurs and determining a diffusion range of the gas leakage, and determining an emergency treatment plan; sending gas leakage information to the smart gas data center, and sending the gas leakage information to a smart gas user platform; and generating a remote control instruction based on the emergency treatment plan and sending the remote control instruction to the smart gas data center, and sending the remote control instruction to an indoor gas device object platform to execute control.

Abstract: This present disclosure provides a method for gate station compressor operation optimization for smart gas, which is implemented based on an Internet of Things system for gate station compressor operation optimization for smart gas. The Internet of Things system includes a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform interacting in sequence. The method is executed by the smart gas device management platform, comprising: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type; obtaining operation parameters of a compressor based on the smart gas object platform, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

Abstract: The present disclosure provides methods and Internet of Things systems for gas operation based on a call center of smart gas. The method includes: obtaining call data of a gas user of a call center; predicting demand information of different types of users based on the call data of the gas user, respectively, the demand information at least including a gas product demand and a gas service demand; and determining a gas operation push feature and pushing the gas operation push feature based on the demand information of the different types of users, the gas operation push feature including a push type feature and a push content feature.