Abstract: A method and a smart gas Internet of Things system for management based on gas safety are provided. The method may comprise obtaining gas-related features of at least one area; determining alert vectors of the at least one area based on the gas-related features by manners for feature extraction; determining a count of on-call maintenance personnel in the at least one area based on the alert vectors; determining whether the count of on-call maintenance personnel meets a preset threshold; and in response to a determination that there is at least one area where the count of on-call maintenance personnel meets the preset threshold, performing, based on an area map, multiple rounds of iterative update on a scheduling capability value of the at least one area that meets the preset threshold; and determining a real-time scheduling policy based on the updated scheduling capability value.

Abstract: Embodiments of the present disclosure provide a method and a smart gas Internet of Things (IoT) system for remote control of an ultrasonic metering device. The method is implemented based on a smart gas device management platform of the IoT system and comprises: obtaining metering data of at least one ultrasonic metering device; determining any one of the at least one ultrasonic metering device as a current metering device; determining an accuracy of the current metering device through verifying the current metering device based on metering data of the current metering device and metering data of a related metering device; and sending an adjustment instruction to a target metering device based on the accuracy of at least one current metering device corresponding to the at least one ultrasonic metering device.

Abstract: The present disclosure provides a method, an Internet of Things system, and a medium for seat management of a smart gas call center. The method includes: obtaining gas usage data, the gas usage data including at least a historical gas usage rate; generating, based on the gas usage data, a predicted call feature of a smart gas call center within a target time period; generating, based on the predicted call feature, a preferred seat feature of the smart gas call center within the target time period; and transmitting the preferred seat feature to a terminal of the smart gas call center.

Abstract: The embodiments of the present disclosure provide a method for predicting a gate station filter replacement at a gate station for smart gas and an Internet of Things system. The method includes: obtaining, by a smart gas data center, usage information of a filter element through a smart gas sensor network platform, the usage information at least including at least one of ventilation efficiency of the filter element, filtered impurity information, and a blockage degree; obtaining, by a smart gas pipeline network device management sub-platform, the usage information from the smart gas data center, determining a filter element maintenance plan based on the usage information, and sending the filter element maintenance plan to the smart gas data center; and sending, by the smart gas data center, the filter element maintenance plan to a smart gas user platform through a smart gas service platform.

Abstract: 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.

Abstract: 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.

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: 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 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.

Abstract: An Industrial Internet of Things system for managing a production task is provided. The system comprises a user platform, a service platform, a management platform, a sensor network platform interacted sequentially. The service platform is configured to receive a modification instruction of a user. The management platform is configured to obtain raw material data and reference material data; determine target reference material data whose matching relationship satisfies a preset condition, and take reference process parameters corresponding to the target reference material data as first candidate process parameters; determining second candidate process parameters through processing the first candidate process parameters; and determine target process parameters based on cost values corresponding to the second candidate process parameters; and determine a modification plan.

Abstract: The present disclosure provides a method comprising obtaining gas data of a gas user continuously, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period from the storage unit; determining an upload demand degree of the gas data based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to a smart gas management platform based on a smart gas object platform at a target upload time point of a smart gas meter of the gas user.

Abstract: Method and an IoT system for gas gate station monitoring are provided. The method includes obtaining operation data of a gas gate station; obtaining a downstream user feature corresponding to the gas gate station and historical warning data corresponding to the gas gate station; determining, based on the downstream user feature and the historical warning data and in combination with the operation data, the associated node in a preset time period, the associated node including at least one of a gate station internal node and an external pipeline network node; obtaining monitoring data of the associated nodes, the monitoring data at least including node monitoring data of the gate station internal node and node monitoring data of the external pipeline network node; and issuing a warning notification in response to the monitoring data not satisfying a preset condition.

Abstract: The embodiments of the present disclosure provide a method for obtaining a natural gas energy metering component, including obtaining a temperature and pressure of a natural gas sample to be detected at a first site based on an object platform; obtaining sample data of a natural gas sample at a second site based on the object platform, the sample data including a natural gas component and a temperature and pressure of the natural gas component; obtaining sample data of a natural gas sample at the first site based on the object platform; determining a natural gas component of the natural gas sample to be detected at the first site based on sample data at the first site and the second site aggregated by a sensor network platform and the temperature and pressure of the natural gas sample to be detected at the first site.

Abstract: The embodiments of the present disclosure provide methods, Internet of Things systems, and storage mediums for management of pipeline network inspection based on a smart gas geographic information system (GIS). The method is implemented by a smart gas pipeline network safety management platform of an Internet of Things system for management of pipeline network inspection based on the smart gas GIS, and the method comprises: obtaining inspection features of at least one inspection unit in a gas pipeline network based on the smart gas GIS; determining at least one gas inspection area by dividing a gas pipeline network map of the smart gas GIS based on the inspection features; determining an inspection result by performing an inspection based on the at least one gas inspection area; and updating the at least one gas inspection area based on the inspection result.

Abstract: Embodiments of the present disclosure provides a method and a system for managing UAV data transmission in smart city based on IoT. The method includes obtaining requirement information of a user by a general platform of the management platform from the user platform through the service platform, and assigning the requirement information to a corresponding management sub-platform; determining different time domains and different airspaces of at least two UAVs performing missions by the management sub-platform based on the requirement information, wherein the different time domains may have an overlapping interval, and the different airspaces may have an overlapping interval; and controlling the at least two UAVs to perform the different missions in the different time domains and the different airspaces by the management platform, and collecting mission data corresponding to different missions.

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 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: An Industrial Internet of Things system, a control method and storage medium for monitoring sheet workpiece production are provided.

Abstract: A method, an Internet of Things system, and a medium for smart gas maintenance management order dispatch warning are provided. The method comprises: assigning a gas work order to an order receiver in response to an assignment module, and determining an warning characteristic of the gas work order; wherein, determining the warning characteristic of the gas work order comprise: based on the fault location characteristic of the gas work order, determining the traffic warning value through the traffic warning value determination module; determining the fault warning value based on the gas fault characteristic of the gas work order through the fault warning value determination module; in response to the warning monitoring module monitoring that the warning characteristic meet the preset condition, providing a warning to the order receiver by the warning module.

Abstract: The present disclosure provides a metering and correcting method and system for an ultrasonic gas meter based on smart gas Internet of Things (IoT). The metering and correcting method is implemented on a smart gas device management platform of the metering and correcting system and includes: in response to receiving a co-correction request from the ultrasonic gas meter, obtaining ultrasonic data and gas medium data; determining a target signal stability value of the ultrasonic gas meter based on the ultrasonic data and the gas medium data; in response to the target signal stability value not meeting a second preset condition, determining a co-correction strategy and sending the co-correction strategy to the ultrasonic gas meter; and evaluating a correction accuracy of the ultrasonic gas meter for performing a correction process based on the co-correction strategy.