Abstract: The present disclosure provides a method, an Internet of Things system and medium for monitoring smart gas harmful components. The method comprises: obtaining composition information of a gas and use information of a user; determining a generation rate of harmful components of the gas based on the composition information and the use information; and generating warning information in response to the generation rate of the harmful components being greater than a generation rate threshold.

Abstract: The embodiment of the present disclosure provides an Industrial Internet of Things for inspection data processing, comprising a management platform. The management platform is configured to perform operations including: determining an inspection task, the inspection task including detecting at least one detection site; sending instructions to an inspection robot based on the inspection task to move the inspection robot to a target position to be inspected; obtaining detection data based on the inspection robot, and determining subsequent detection or processing operations based on the detection data.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things systems for controlling automatic odorization of smart gas device management. The method may include obtaining gas data of a first gas sample at a first position of a smart gas pipeline network based on a sampling device; odorizing at a second position of a smart gas pipeline network based on odorization parameters through an odorization device; obtaining inspection data of a second gas sample at a third position of the smart gas pipeline network based on an inspection device; updating the odorization parameters based on the inspection data through a device parameter remote management module; and odorizing at the second position of the smart gas pipeline network based on the updated odorization parameters through the odorization device.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things systems for maintaining a low-temperature pipeline based on smart gas. The method may be implemented by a smart gas safety management platform of an Internet of Things system for maintaining the low-temperature pipeline based on smart gas. The method may include: obtaining gas data and pipeline data of each segment of a gas pipeline and weather data of a position of each segment of the gas pipeline; determining at least one target pipeline; determining icing data of the at least one target pipeline based on the gas data, the pipeline data, and the weather data; and generating a thawing instruction based on the icing data, and controlling a natural gas heating device to perform a thawing operation on the at least one target pipeline based on the thawing instruction.

Abstract: The embodiments of the present disclosure provide controlling methods, systems, devices and storage mediums for front sub-platform industrial Internet of Things. The controlling methods are executed by the sensor network platform, including: receiving a data request sent from a management platform; obtaining the detected at least one type of the production line detection data and storing it in the child node gateway devices or the total node gateway device; based on the production line detection data included in the data request, retrieving the production line detection data from the total node gateway device or the child node gateway devices; sending the retrieved production line detection data to the management platform.

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 the present disclosure provide method and Internet of Things (IoT) systems for maintaining and managing a storage and distribution station of smart gas. The method may be executed by a smart gas device management platform of the IoT system for maintaining and managing the storage and distribution station of smart gas. The method may include: obtaining gas tank data and gas tank environmental data of a target gas tank of a gas storage and distribution station; obtaining image data of the target gas tank, and predicting gas tank aging data of the target gas tank based on the image data; predicting, based on the gas tank aging data, the gas tank data, and the gas tank environmental data, gas tank damage data of the target gas tank; and determining a maintenance plan of the target gas tank based on the gas tank damage data.

Abstract: The present disclosure discloses a system of an industrial internet of things for industrial production control and a method. The system of industrial internet of things includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact in turn. The service platform adopts a centralized layout, and the management platform and the sensor network platform adopt a front sub platform layout. The user platform generates product manufacturing parameters of a production line, and transmits them in a form of instructions through the service platform, the management platform, and the sensor network platform. The sensor network platform finally integrates the received instructions with the real-time manufacturing data of the product to form different types of configuration files, and transmits them to the object platform, so that the object platform can perform production control processing based on the received data.

Abstract: The present disclosure relates to an Industrial Internet of Things (IoT) system for controlling a production line parameter and a control method thereof. The Industrial IoT system includes an user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, the service platform adopts a centralized arrangement, the management platform adopts an independent arrangement, and the sensor network platform adopts a rear sub-platform arrangement.

Abstract: The present disclosure discloses an Industrial Internet of Things (IIoT) with a dual independent platform, which comprises a user platform, a service platform, a management platform, a sensor network platform and an object platform that interact in turn. The service platform adopts centralized layout, and the management platform and the sensor network platform adopt independent layout. The present disclosure also discloses a control method of the IIoT with the dual independent platform. The present disclosure builds the IIoT based on the five platform structure, in which the sensor network platform and the management platform are arranged independently, and each corresponding platform includes a plurality of independent sub-platforms, so that the independent sensor network platform and the management platform can be used for each production line device to form an independent data processing channel and transmission channel, and reduce the data processing capacity and transmission capacity of each platform.

Abstract: Some embodiments of the present disclosure provide methods, Internet of Things systems, and storage mediums for street management in a smart city. The method may include obtaining, based on the object platform, street monitoring information of a target area through the sensor network platform; determining, according to the street monitoring information, distribution of fallen leaves on the street, the distribution of fallen leaves including a total amount of fallen leaves and a count of fallen leaf piles; determining, based on the distribution of fallen leaves, cleaning difficulty of each street in the target area; determining, based on the total amount of fallen leaves and the cleaning difficulty, at least one street to be cleaned from the target area; and determining, based on the at least one street to be cleaned, a fallen leaf cleaning route of the target area.

Abstract: The present disclosure provides a method for gas meter replacement prompt based on a smart gas Internet of Things and a system thereof. The method is applied to a sub platform of a management platform of a smart gas indoor device, wherein the method includes: obtaining model data, use data, and maintenance data of a target gas meter in a smart gas data center; determining a target time for replacing the target gas meter and uploading the target time to the smart gas data center based on the model data, use data and maintenance data of the target gas meter, wherein the smart gas data center is configured to send the target time to a smart gas service platform, and the smart gas service platform is configured to send the target time to a smart gas user platform.

Abstract: The present disclosure provides a method for intelligent metering of natural gas, including obtaining a metering value of the natural gas used by a user in a time period from a metering device via a network, the metering device being located at a gas supply terminal of a transmission pipe network, and determining a consumption amount of natural gas based on the metering value and a pricing scheme. The pricing scheme includes a volume-based pricing scheme and an energy-based pricing scheme. Volume unit prices of the natural gas in different component types are different, and are determined based on an adjustment model.

Abstract: The present disclosure disclosed an industrial internet of things (IIoT) system for smart manufacturing, comprising: a user platform, interacting with users; a service platform extracting information required by a user platform from a management platform, processing the information and sends the information to the user platform; a management platform controlling the operation of an object platform, and receiving feedback data from the object platform; a sensor network platform, configured to interact between the object platform and the management platform; the object platform, which is production line devices and production line sensors that perform manufacturing; wherein the service platform, the management platform, and the sensor network platform all use centralized layouts. The present disclosure also disclosed a control method of industrial internet of things (IIoT) for smart manufacturing.

Abstract: The present disclosure provides an early warning method and an early warning system for a detection device located at an energy metering point of natural gas, comprising: obtaining a first detection data set collected by the detection device located at the energy metering point of the natural gas, determining a first cluster center set through clustering a first historical detection data set, determining a first vector corresponding to the first detection data set based on the first detection data set, determining a first target cluster center based on the first vector and the first cluster center set; and determining whether the detection device is abnormal based on a distance between the first vector and the first target cluster center.

Abstract: 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.

Abstract: The present disclosure provides a method and system for determining an abnormity of a detection device of natural gas. The method comprises: obtaining a first detection data set collected by the detection device of the natural gas, determining whether the detection device is abnormal based on the first detection data set and a first historical detection data set, and sending a determination result to a terminal. The first detection data set and the first historical detection data set include a composition of natural gas, a temperature of natural gas, and a pressure of natural gas.

Abstract: The present disclosure provides a pipeline monitoring method and Internet of Things system based on smart gas pipeline network safety. The method comprises: determining an inspection need of at least one gas pipeline segment based on pipeline characteristics and transportation characteristics; based on the inspection need of the at least one gas pipeline segment, determining at least one target pipeline segment; sending the at least one target pipeline segment to the smart gas data center, and further sending the target pipeline segment to the smart gas user platform based on the smart gas service platform; based on the at least one target pipeline segment, generating a remote control instruction and sending the remote control instruction to the smart gas data center, and based on the smart gas sensing network platform, sending the remote control instruction to the smart gas object platform to perform deep inspection.

Abstract: The present disclosure discloses an industrial internet of things with an independent sensor network platform and control methods thereof, comprising: a user platform that interacts with users; a service platform that extracts and processes information required for processing the user platform from a management platform, and sends the information to the user platform; a management platform controls the operation of the object platform and receives feedback data from the object platform; a sensor network platform is configured as a communication network and a gateway for the interaction between the object platform and the management platform; an object platform is configured as production line devices and production line sensors that perform manufacturing. The service platform and management platform adopt a centralized layout, and the sensor network platform adopts an independent layout.

Abstract: Embodiments of the present disclosure provide a method and a system for place recommendation in the smart city based on an Internet of Things. The method is implemented by a management platform. The method comprises: obtaining place information and pedestrian flow information of at least one place, the place information including a count of the at least one place, at least one distance between the places, and control measures for entrances and exits in each place, and control measures for passages, and the control measures include whether the entrances, exits, and passages in each place are closed; determining a plurality of candidate control schemes for the at least one place based on the place information and the pedestrian flow information of the at least one place; and determining a target control scheme of the at least one place based on the plurality of candidate control schemes.