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 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 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 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 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: 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 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 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 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 methods and Internet of Things (IoT) systems for determining a fire rescue plan in a smart city. The method includes obtaining monitoring data of a disaster area in a first period of time; predicting fire information in a second period of time based on the monitoring data; determining flow information of the disaster area based on the monitoring data, the flow information including at least one of traffic flow information or human flow information; and determining a rescue plan based on the fire information and the flow information, the rescue plan including at least one of a count of fire trucks or a count of ambulances.

Abstract: The embodiments of the present disclosure provide a method for construction planning of a charging pile in a smart city. The method is implemented based on a management platform of an Internet of Things system for construction planning of the charging pile in the smart city. The method comprises: obtaining a region feature of a region to be expanded; determining at least one candidate construction site based on the region feature; the region feature at least including distribution of people flow in the region to be expanded and distribution of existing charging piles in the region to be expanded; and determining at least one target construction site based on the at least one candidate construction site.

Abstract: The present disclosure provides a method for managing a parking lot in a smart city based on an Internet of Things, which is executed by a management platform. The method comprises obtaining a user position of a user platform based on a service platform, determining a candidate parking lot that meets a preset condition; determining time when a vehicle to be parked arrives at the candidate parking lot based on the user position; determining free parking space information when the vehicle to be parked arrives at the candidate parking lot; determining recommendation information based on the free parking space information; and sending the recommendation information to the user platform based on the service platform.

Abstract: An early warning method and system for a regional public security management in a smart city based on the IoT are provided. The early warning method includes: sending, based on a sensing network sub-platform, a monitoring image of a target region to the management sub-platform; processing, based on a management sub-platform, the monitoring image to determine a risk index of the at least one target region; generating early warning information in response to the risk index of the target region greater than a first threshold, and sending the early warning information to the user platform through a general database of the management platform and the service platform; and obtaining a management instruction based on the user platform, and controlling, according to the management instruction, an unmanned aerial vehicle to go to the target region for monitoring.

Abstract: The embodiments of the present disclosure provide a method and a system for controlling intelligent street lamps in a smart city based on an Internet of Things, the method is realized by a system for controlling intelligent street lamps in a smart city based on the Internet of Things, the system for controlling intelligent street lamps in a smart city includes a user platform, a service platform, a management platform, a sensor network platform and an object platform, the method is executed by the management platform, comprising: receiving road information acquired by the object platform through the sensor network platform, the road information including ambient light intensities and road images, and the object platform including a first sensor; determining road environment information based on the road images; and determining irradiation intensities of the street lamps on a road based on the ambient light intensities and the road environment information.

Abstract: A method for traffic diversion management in a smart city is provided. The method applied to the management platform includes obtaining a first traffic feature of a target road within a first time period from an object platform through a sensor network platform, wherein the first traffic feature is a feature reflecting a flow situation of the target road, determining a target tidal lane opening scheme of the target road within the first time period based on the first traffic feature, wherein the target tidal lane opening scheme is a scheme for managing an opening time of a tidal lane, a flow direction of the tidal lane, and a number of tidal lanes for the target road, sending the target tidal lane opening scheme to the target object through a sensor network platform, and sending the target tidal lane opening scheme to the user platform through a service platform.

Abstract: This present disclosure provides a production line adaptation method, system and medium based on the Industrial Internet of Things. The method comprises: an instruction generation module configured to generate an adaptation instruction based on production item data of a production line required by a production item input by a user; a production adaptation module configured to generate a target adaptation scheme based on the adaptation instruction; and obtain an adaptation result by adapting the plurality of target production lines based on the target adaptation scheme; a feedback module configured to determine feedback results according to the adaptation results; and a process configuration module configured to perform process configuration on the plurality of target production lines to obtain the production line required by the production item in response to the feedback results indicating that the adaptation is successful.

Abstract: The present disclosure provide a method and an Internet of Things system for counting and regulating pedestrian volume in a public place of a smart city. The method includes receiving, based on the user platform, a query request for an intended place initiated by a user; transmitting, based on the service platform, the query request to the management platform, and generating, based on the management platform, a query instruction; issuing, based on the management platform, the query instruction to a corresponding sensor network sub-platform according to the regional location; sending, based on the sensor network sub-platform, the query instruction to the corresponding object platform; obtaining, based on the object platform, a query result according to the query instruction; and feeding back, based on the object platform, the query result to the user platform through the corresponding sensor network sub-platform, the management platform, and the service platform respectively.

Abstract: The present disclosure provides an Industrial Internet of Things for automatic executing product manufacturing based on a task, comprising a task module, a process processing module, and an analysis module. The task module is configured to generate a product manufacturing task and a first instruction corresponding to the product manufacturing task, the process processing module is configured to determine manufacturing process information based on the first instruction, decompose the manufacturing process information and generate sub-process manufacturing data, and the analysis module is configured to compose a set of manufacturing data based on the sub-process manufacturing data and the process execution time, perform a manufacturing feasibility analysis based on the set of manufacturing data, in response to a determination that an analysis result of the manufacturing feasibility analysis is feasible, perform the product manufacturing corresponding to sub-process based on the sub-process manufacturing data.