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 present disclosure provides a method for smart gas terminal management, an Internet of Things system, and a medium thereof. The method is performed by a smart gas device management platform of the Internet of Things system for smart gas terminal management. The method comprises: obtaining user data authorized for usage by a user, wherein the user data includes at least one of gas information, water usage information, electricity usage information, and network information; determining, based on the user data, residence information of the user; and determining, based on the residence information, a smart gas terminal management solution.

Abstract: The embodiments of the present disclosure provide methods for assessing electrochemical corrosion of a smart gas pipeline. The method may be implemented based on a smart gas pipeline network safety management platform of an Internet of Things system for assessing electrochemical corrosion of a smart gas pipeline. The method may include: obtaining environmental data of at least one position of a gas pipeline at a first time; determining an electrochemical corrosion degree of each of the at least one position of the gas pipeline at a second time based on the environmental data of the at least one position at the first time, wherein the first time is before the second time; determining, based on electrochemical corrosion degree, a protection scheme of the gas pipeline.

Abstract: An internet of things (IoT) system used for an intelligent gas meter and an information transmission method for said IoT system. The IoT system used for an intelligent gas meter comprises an intelligent gas meter perception and control system, a gas network communication system, and a gas company comprehensive gas management system. The intelligent gas meter perception and control system comprises an intelligent gas meter perception unit and an intelligent gas meter control unit; the gas network communication system comprises a perception information communication system and a control information communication system; and the gas company comprehensive gas management system may comprise a perception information management system and a control information management system.

Abstract: The embodiments of the present disclosure provide a method for a shared bicycle delivery and an operation area planning in a smart city and an Internet of Things (IoT) system thereof. The method may be implemented based on a management platform of the Internet of Things (IoT) system. The method includes: obtaining reference information of people flow in at least one target area, determining a predicted people flow in the at least one target area at a target time, and determining a demand quantity for shared bicycles; obtaining historical data of shared bicycles in a plurality of reference areas, and predicting a variation quantity of shared bicycles in the at least one target area at the target time; and determining a delivery quantity of shared bicycles in the at least one target area at the target time.

Abstract: The embodiments of the present disclosure provide a method for waste cleaning volume prediction in a smart city, the method being executed based on a management platform of an Internet of Things (IoT) system for waste cleaning volume prediction in a smart city, including: obtaining reference evaluation information of a target area within a first historical time period; and determining, based on the reference evaluation information, cleaning information of the target area at a target time; the cleaning information including a waste cleaning volume.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things system for smart gas installation management. The method may be implemented based on the Internet of Things system for smart gas installation management. The method may include: obtaining user installation information, wherein the user installation information includes at least one of user information or property information; determining whether to accept a gas installation based on the user installation information and an acceptance condition; in response to acceptance of the gas installation, determining, based on a user requirement and a staff availability degree, overall service intensity of the Internet of Things system for smart gas installation management; and determining a door-to-door service plan based on the overall service intensity.

Abstract: The embodiments of the present disclosure provide a method for smart gas pipeline network inspection, implemented on a smart gas pipeline network security management platform based on an Internet of Things system for smart gas pipeline network inspection, and the method comprising: obtaining a gas pipeline network distribution; determining at least one inspection sub-area based on the gas pipeline network distribution; determining, based on the at least one inspection sub-area, an inspection plan for each of the at least one inspection sub-area, the inspection plan at least including an inspection frequency.

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 present disclosure discloses an industrial Internet of Things (IoT), a control method, and a storage medium based on a machine vision detection, and provides a technical solution for a timely adjustment of production line parameters according to image information generated during a machine vision data collection on the production line. Through a difference of the image information corresponding to different process operations, a processing situation of different process operations may be obtained, so that more accurate adjustment of the production line parameter may be achieved without increasing the system complexity, thereby effectively reducing a development cost of the industrial IoT, and increasing accuracy of the intelligent manufacturing control.

Abstract: The present disclosure provides a method for traffic scheduling at an intersection in a smart city and an Internet of Things system. The method includes: for the intersection in a preset area, determining whether traffic congestion is likely to occur at the intersection during a next time period based on a comparison result between the number of the first vehicles and the number of second vehicles; in response to determining that the traffic congestion is likely to occur at the intersection during the next time period, determining whether a traffic scheduling strategy is needed to be switched based on traffic data information of the intersection during the next time period; and in response to determining that the traffic scheduling strategy is needed to be switched, switching a first traffic scheduling strategy to a second traffic scheduling strategy.

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 provides a method for managing traffic congestion in a smart city. The method includes predicting, based on a trained traffic state prediction model, one or more target areas where the traffic congestion is likely to occur from the preset area during a next time period by processing the traffic data information during the current time period, the traffic state prediction model being a Graph Neural Network (GNN) model and a predicted result being output by at least one node of a traffic state prediction model; determining whether a traffic scheduling strategy is needed to be switched based on traffic data information in the one or more target areas during the next time period; and in response to determining that the traffic scheduling strategy is needed to be switched, switching a first traffic scheduling strategy to a second traffic scheduling strategy.

Abstract: A method and a smart gas Internet of Things system for maintenance scheduling and management based on gas safety are provided. The method may comprise the following operations. Gas-related features of at least one area may be obtained, alert vectors of the at least one area may be determined based on the gas-related features, the alert vectors including a leakage alert value, a count of on-call maintenance personnel in the at least one area based on the alert vectors may be determined, whether the count of on-call maintenance personnel meets a preset threshold may be determined, in response to a determination that there is at least one area where the count of on-call maintenance personnel meets the preset threshold, a real-time scheduling policy based on a scheduling capability value of the at least one area where the count of on-call maintenance personnel meets the preset threshold may be determined.

Abstract: The present disclosure provides a method and an Internet of Things system for gas usage safety warning based on a smart gas, the method is performed by a smart gas safety management platform of an Internet of Things system for gas usage safety warning based on a smart gas, comprising: based on gas usage data, determining a gas monitoring object from at least one gas device; determining initial objects based on the gas monitoring object and a gas usage threshold; determining a target object based on historical gas data of the initial objects; and sending gas usage safety warning information to a gas user corresponding to the target object.

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 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.