Abstract: The present disclosure provides a method for smart gas storage optimization and an Internet of Things system. The method is implemented based on an Internet of Things system for smart gas storage optimization. The Internet of Things system includes a smart gas management platform, a smart gas sensor network platform and a smart gas object platform that interact in sequence. The method is executed by the smart gas management platform. The method includes obtaining gas supply data and historical gas usage data of a target area through the smart gas sensor network platform; predicting future gas usage data of the target area based on the historical gas usage data; determining gas storage demand data of the target area based on the future gas usage data and the gas supply data; and determining a gas storage optimization method of the target area based on the gas storage demand data.

Abstract: The embodiment of the present disclosure provides an Industrial Internet of Things system for inspection operation management of an inspection robot and a method thereof. The system includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that are interacted sequentially from top to bottom. 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 a management method and a management Internet of Things system for a maintenance personnel of smart gas. The management method is implemented based on a smart gas safety management platform of a management Internet of Things system for maintenance personnel of smart gas. The method may include the following operations. Maintenance personnel information of at least one maintenance personnel may be obtained. The maintenance personnel information may include first positioning information of each of the at least one maintenance personnel. Second positioning information corresponding to at least one maintenance task may be obtained. A candidate maintenance task may be determined based on the first positioning information and the second positioning information. The candidate maintenance task may be sent to a user terminal of the maintenance personnel.

Abstract: The present disclosure provides a distribution method and a distribution system for greenspace irrigation water of a smart city based on an Internet of Things.

Abstract: The present disclosure provides a system of an industrial Internet of Things (IoT) for an automated guided vehicle (AGV) control, a method, and a medium. The method includes: obtaining an AGV circuit layout and forming an AGV operation model; obtaining a feeding time, each AGV being fed for at least once within a preset period; the material end point being a node for receiving material in the AGV operation model; calculating an operation track of each AGV of the AGV operation model within the preset period based on the operation speed and the feeding time; adjusting the operation speed to recalculate the operation tracks until the operation process is qualified; and sending the operation track of the qualified operation process to a user platform through the service platform to display to a user.

Abstract: Embodiments of the present disclosure provides a method and a system for managing an UAV in a 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 discloses a control method of industrial Internet of Things (IoT) based on abnormal identification. The IoT includes: an obtaining unit, which is configured to obtain a first machining parameter; a detection unit, which is configured to obtain real-time image data when the first machining parameter is abnormal; an extraction unit, which is configured to obtain a keyframe and obtain a second machining parameter; a judgment unit, which is configured to determine an abnormal cause based on the first machining parameter and the second machining parameter; and a communication unit, which is configured to transmit the abnormal cause to a user terminal through a service platform.

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 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: 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: 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 embodiments of the present disclosure provide methods for controlling natural gas efficiency enhancement of smart gas, smart gas Internet of Things (IoT) systems and mediums. The method may comprise obtaining at least one user need through a smart gas user platform based on a smart gas service platform, the user need including a gas usage target need; determining at least one optimization objective based on the at least one user need; determining a target proportioning feature of a synergist according to the at least one optimization objective, the target proportioning feature including a proportioning vector and an addition proportion of the synergist; and configuring a target synergist that satisfies the target proportioning feature to enhance efficiency of natural gas by sending the target proportioning feature to a smart gas object platform through a smart gas sensor network platform.

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 present disclosure provides a method of charging service for a new energy vehicle in a smart city. This method is executed by a charging pile management platform. This method includes: based on the service platform, obtaining a charging request of a user by the user platform, wherein the charging request comprises a remaining power of a vehicle of the user and a position of the user; based on the charging request, determining candidate charging piles; based on queuing information of the candidate charging piles and time information for going to the candidate charging piles, sorting the candidate charging piles to determine an object charging pile; predicting a failure rate of the object charging pile, wherein the failure rate is used to determine recommendation information of the object charging pile; and based on the service platform, feeding back the recommendation information to the user through the user platform.

Abstract: The present disclosure provides a method for communal facilities management in a smart city based on an Internet of Things.

Abstract: An intelligent manufacturing industrial Internet of Things with a front split service platform is provided, which includes: an obtaining module configured to obtain an image taken by a first camera on a production line as a first image data and an image taken by a second camera as a second image data through a sensor network platform; a three-dimensional module configured to process into three-dimensional image data; a recognition module configured to obtain a plurality of point positions of a distortion part as judgment point positions; a mapping module configured to map the judgment point positions to the second image data to form second calibration point positions; and a calibration module configured to calibrate the first camera and the second camera according to first calibration point positions and the second calibration point positions.

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.