Abstract: The present disclosure provides an Industrial Internet of Things system conducive to system scalability and control method thereof. The system comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform or the sensor network platform adopts independent layout. The service platform and the sensor network platform both include sub platforms and each sub platform is provided with a database, a processor, and/or an information channel. The object platform includes a production line, and the production line is configured with a plurality of sensors. In each sub platform of the sensor network platform, a same communication protocol is used with the sensors connected to a same sub platform of the sensor network platform. Any sub platform of the sensor network platform is connected with a unique sub platform of the service platform through the management 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 an Industrial Internet of Things system for abnormal analysis, a method, and a storage medium thereof. The Industrial Internet of Things system includes a management platform, and the management platform is configured to obtain an ordered set of instructions for a preset time period, the ordered set of instructions including a plurality of instructions, and instruction content of each instruction of the plurality of instructions including at least one of instruction type, instruction parameter, and instruction execution time; determine whether there is an abnormal instruction based on the ordered set of instructions; and analyze and modify the abnormal instruction in response to a determination that there is the abnormal instruction.

Abstract: The disclosure provides an industrial Internet of Things for solving manufacturing problems, a control method, and a storage medium. The method includes an industrial Internet of Things for solving manufacturing problems. The industrial Internet of Things includes an acquisition module, a problem type determination module and a problem solving module, the acquisition module is configured to obtain equipment information and data of product manufacturing problems; the problem type determination module is configured to determine a problem type at least based on the data of the product manufacturing problems; and the problem solving module is configured to determine problem processing data based on the problem type, and solve the problem based on the problem processing data.

Abstract: The present disclosure discloses a method for measuring energy of natural gas based on Internet of Things (IOT). The method may be performed by a management platform, comprising: in response to a query request received by a user platform, obtaining a natural gas detection parameter detected by a sense control platform via a sense network platform; determining natural gas metering data by processing the natural gas detection parameter; and transmitting the natural gas metering data to the user platform via a service platform.

Abstract: The disclosure provides a method for measuring energy of natural gas, including determining first energy per unit volume of the target natural gas based on the carbon content; obtaining combustible component information in the target natural gas, and determining second energy per unit volume of the target natural gas based on the combustible component information; determining a difference between the first energy per unit volume and the second energy per unit volume; based on the difference, determining whether the first energy per unit volume and the second energy per unit volume are accurate by a deviation determination model; and if the first energy per unit volume and the second energy per unit volume are accurate, determining the energy of the target natural gas based on the first energy per unit volume, the second energy per unit volume, and the volume of the target natural gas.

Abstract: Embodiments of the present disclosure provide an Industrial Internet of Things system for a production line when a defective product is produced, a regulation method, and a storage medium.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for managing dust pollution in a smart city. The method may be executed by a management platform, the method may include: obtaining one or more environmental data of the area to be detected through the sensing network platform, and obtaining one or more street data associated with the environmental data, the environmental data at least including dust data indicating dust information in the air; determining whether there is dust pollution in the area to be detected based on the environmental data; and in response to the determining that there is dust pollution in the area to be detected, determining a position of at least one dust pollution source based on the environmental data and the street data, and treating the dust pollution.

Abstract: The present disclosure discloses an Industrial Internet of Things (IIoT) system for automatic control of production line manufacturing parameters, 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 for automatic control of production line manufacturing parameters.

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 and a system for predicting air quality in a smart city based on an Internet of Things. The method includes obtaining environmental monitoring data in a target area through a sensor network platform, the environmental monitoring data including at least one of air quality data, weather data, and satellite image data, predicting an air pollution situation in the target area through a regional prediction model based on the environmental monitoring data, the regional prediction model being a machine learning model, and sending prompt information, which is determined based on the air pollution situation in the target area, to a user platform through a service platform.

Abstract: The present disclosure discloses an Industrial Internet of Things for material transportation control, a control method and a medium thereof, wherein the management platform in the Industrial Internet of Things includes: an obtaining module configured to generate a first layout directed graph; a material module configured to assign a material requirement to a corresponding material end point and assign a material supply to a corresponding material start point; a decomposition module configured to divide each material end point into a plurality of sub-nodes; a reconstruction module configured to form a third layout directed graph; a first calculation module configured to calculate a first path; a correction module configured to form an intermediate layout directed graph; and a second calculation module configured to calculate a second path.

Abstract: The disclosure provides a method for managing a public place in a smart city. The method may comprise obtaining pedestrian distribution information in a preset area during a current time period. The method may comprise determining, based on the pedestrian distribution information, at least one area location in the preset area for a future time period, and a population flow load of the area location may be greater than a first threshold. The method may comprise determining, based on the area location, prompt information. The method may comprise sending the prompt information to a user platform through a service platform.

Abstract: This present disclosure provides a method for gate station compressor operation optimization for smart gas, which is implemented based on an Internet of Things system for gate station compressor operation optimization for smart gas. The Internet of Things system includes a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform interacting in sequence. The method is executed by the smart gas device management platform, comprising: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type; obtaining operation parameters of a compressor based on the smart gas object platform, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

Abstract: The disclosure provides an industrial Internet of Things for identifying and processing manufacturing problems, a control method, and a storage medium. The method includes an industrial Internet of Things for identifying and processing manufacturing problems. The industrial Internet of Things includes an acquisition module, a problem type determination module and a problem solving module, the acquisition module is configured to obtain equipment information and data of product manufacturing problems; the problem type determination module is configured to determine a problem type at least based on the data of the product manufacturing problems; and the problem solving module is configured to determine problem processing data based on the problem type, and solve the problem based on the problem processing data.

Abstract: The present disclosure provides a method and an Internet of Things system for determining a government traffic route in a smart city. The method may include: receiving a query request for a preset route initiated by a user, transmitting the query request to the government traffic route determination management platform, generating a query instruction, issuing the query instruction to the government sensor network platform, sending the query instruction to corresponding object platform, obtaining the traffic data information according to the query instruction, uploading the traffic data information to the government traffic route determination management platform, determining the time when each preset route reaches the target location, and feeding back the time when each preset route reaches the target location to the citizen user platform through the government service platform.

Abstract: The present disclosure provides a method and system for scheduling vaccines in a smart city based on the Internet of Things (IoT), which is executed by a vaccine management platform. The method includes obtaining a service scope corresponding to each vaccination point in a preset area, obtaining information related to vaccine service within the service scope, the information related to the vaccine service including vaccination information, information of target persons to be vaccinated, and a time type of each preset time point, determining a prediction result based on the information related to the vaccine service within the service scope, the prediction result including a number of possible to-be-vaccinated persons at the each vaccination point at the each preset time point, and determining an allocation scheme based on the prediction result.

Abstract: The embodiments of the present disclosure provide an Industrial Internet of Things based on an event sequence analysis and prediction, a method, and a storage medium thereof. The Industrial Internet of Things includes a management platform, and the management platform is configured to obtain an ordered set of instructions for a preset time period, the ordered set of instructions including a plurality of instructions, and instruction content of each instruction of the plurality of instructions including at least one of instruction type, instruction parameter, and instruction execution time; determine whether there is an abnormal instruction based on the ordered set of instructions; and analyze and modify the abnormal instruction in response to a determination that there is the abnormal instruction.

Abstract: Disclosed herein are an industrial internet of things system for automatic replacement of production line production devices and control methods thereof. The industrial internet of things system comprises: a user platform, a service platform, a management platform, a sensor network platform, and an object platform.

Abstract: The embodiments of the present disclosure provide methods for managing data of a call center of smart gas, executed by a processor in a smart gas management platform of an Internet of Things system for managing data of a call center of smart gas. The method may include: constructing call consultation data of a user to be troubleshooted based on consultation information of the user to be troubleshooted collected by a customer service from a user terminal through a network; generating a location result of a gas fault based on the call consultation data; and generating a fault handling plan based on the location result of the gas fault and sending the fault handling plan to the user terminal.