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

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 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.

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 embodiments of the present disclosure provide methods and systems for energy measuring based on natural gas data of a smart gas meter, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: A method for managing energy-saving early warning of a smart gas flowmeter is provided. The method is executed by a smart gas management platform. The method comprises obtaining a remaining power of the smart gas flowmeter, determining a confidence level of the remaining power based on at least environmental data, determining a calibrated power by calibrating the remaining power based on the confidence level, determining whether to issue a power alert to a gas user based on the calibrated power, operation data of the smart gas flowmeter, and at least one reference correspondence. The reference correspondence represents a relationship between an operation behavior of the smart gas flowmeter and a power consumption. The method also comprises generating an energy-saving management and operation scheme of the smart gas flowmeter in response to a determination that the power alert is issued to the gas user.

Abstract: Embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for managing smart gas safety based on user activity. The method includes obtaining gas data of a gas user, determining, based on the gas data, a gas risk for the gas user, and determining at least one target on-site user based on the gas risk. The method further includes determining, based on at least the gas data of the target on-site user, an activity distribution of the at least one target on-site user, and based on the activity distribution, determining a recommended on-site time set and sending the recommended on-site time set to the at least one target on-site user.

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 and a system for greenspace cultivation and management in a smart city based on an Internet of Things.

Abstract: The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

Abstract: The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for predicting maintenance materials of a smart gas pipeline network. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for predicting maintenance materials of a smart gas pipeline network. The method may comprise: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; and determining demand for the maintenance materials based on the fault probabilities of the one or more point positions.

Abstract: The present disclosure provides a method and a system for regulating pipeline network maintenance based on a smart gas Internet of Things (IoT). The method includes obtaining gas data of at least one faulty pipeline, generating at least one set of candidate maintenance schemes based on the at least one faulty pipeline, determining a recommended maintenance approach for the at least one faulty pipeline based on the at least one set of candidate maintenance schemes and the gas data, determining a set of monitoring point locations based on the recommended maintenance approach, and determining a regulation parameter of a regulation device based on monitoring data of the set of monitoring point locations. The system includes a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas sensing network platform, and a smart gas object platform interacting in sequence.