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 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 disclosure provides a method and a system for muck truck management in a smart city based on Internet of Things. The method is performed by a management platform, including: obtaining construction site information, determining a target monitoring device of a target site based on the construction site information, obtaining muck truck monitoring data of the target site through the target monitoring device, and performing muck processing information analysis based on the muck truck monitoring data to generate muck truck management information.

Abstract: The embodiments of the present disclosure provide a method for recommending a parking lot in a smart city and an Internet of Things system, implemented based on a management platform of an Internet of Things system for recommending a parking lot in a smart city. The method includes: determining an arrival duration of a user reaching at least one candidate parking lot and a prediction time period corresponding to each candidate parking lot in the at least one candidate parking lot based on a user request; determining an occupation rate of the candidate parking lot during the prediction time period; and determining a recommended parking lot at least based on the occupation rate of the candidate parking lot during the prediction time period and parking lot information of the candidate parking lot.

Abstract: A method for employment management and Internet of Things system are provided. The system comprises a user platform, a service platform, a management platform; the method being executed by the management platform, and the method comprising: obtaining company-related information; determining a target industry and a target company based on the company-related information and a query condition; predicting a turnover rate and a hiring rate of the target company based on company-related information of the target company; returning the turnover rate and the hiring rate of the target company to the user platform through the service platform; and generating first warning information based on the turnover rate that meets a first preset requirement, and/or generating second warning information based on the hiring rate that meets a second preset requirement, and returning the first warning information and/or the second warning information to the user platform based on the service platform.

Abstract: The embodiments of the present disclosure disclose an intelligent manufacturing Industrial Internet of Things based on a platform network in a post-sub type and control methods thereof. The Industrial Internet of Things includes a management platform, which includes a plurality of management sub-platforms and a general platform database, wherein each of the management sub-platforms performs production calculation based on first operation data to generate first calculation result data, and sends the first calculation result data to the general platform database; and the general platform database performs the production calculation based on second operation data to generate second calculation result data, and generates adjustment parameters of production devices according to the second calculation result data and the first calculation result data.

Abstract: The present disclosure provides a method for measuring energy of natural gas in a full cycle, including obtaining a metering value of the natural gas used by a user in a time period based on a metering device, and determining a consumption amount of natural gas based on the metering value and a pricing scheme.

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: 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 discloses an industrial internet of things with a dual front sub platform and a control method, the 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 control method is used for the industrial internet of things.

Abstract: The present disclosure relates to an Industrial Internet of Things (IoT) and a method for controlling a balance rate of a production line. The Industrial IoT 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 embodiments of the present disclosure provide methods and systems for natural gas data computation outside a gas IoT based on energy measuring, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: The present disclosure provides a method and system for detecting 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 and determining whether the detection device is abnormal based on the first detection data set and a first historical detection data set.

Abstract: The embodiments of the present disclosure provide a method for obtaining a natural gas energy metering component, including obtaining a temperature and pressure of a natural gas sample to be detected at a first site based on an object platform; obtaining sample data of a natural gas sample at a second site based on the object platform, the sample data including a natural gas component and a temperature and pressure of the natural gas component; obtaining sample data of a natural gas sample at the first site based on the object platform; determining a natural gas component of the natural gas sample to be detected at the first site based on sample data at the first site and the second site aggregated by a sensor network platform and the temperature and pressure of the natural gas sample to be detected at the first site.

Abstract: The embodiments of the specification provide a method for civil administration in a smart city based on the Internet of Things (IoT). The method may include: a civil administration platform obtaining target resident information of a target area from a civil service platform, wherein the target resident information may be obtained by the civil service platform after processing resident information of a target user in response to a civil service request sent by the target user through a user platform; and determining, based on the target resident information, an increased population of the target area within a target period.

Abstract: The present disclosure discloses a risk prevention method based on energy of natural gas in a full cycle, including: obtaining loss data of natural gas based on metering equipment, wherein the loss data of the natural gas includes metering data of the natural gas consumed in a measured area during a plurality of time periods; obtaining output data of natural gas, wherein the output data of the natural gas includes metering data of the natural gas transmitted by a gas supplier in the measured area during the plurality of time periods; based on the processing of loss data of natural gas and output data of natural gas, determining whether natural gas transmission is abnormal.

Abstract: The disclosure provides a method for measuring energy of natural gas components. The method may comprise obtaining, at a plurality of time points, the natural gas components at a target position in a natural gas transmission channel to obtain a distribution of the natural gas components in an area that the natural gas energy is to be measured. The method may comprise determining, based on the calorific value of natural gas at the each time point in each subarea of the plurality of subareas, a calorific value distribution function corresponding to the each subarea. The method may comprise determining, based on the calorific value distribution function corresponding to the each subarea, natural gas energy of the each subarea. The method may comprise determining, based on the natural gas energy of the each subarea, the natural gas energy of the area that the natural gas energy is to be measured.

Abstract: The present disclosure provides a method for managing a pipe network of natural gas. The method may comprise: obtaining pipe network information of natural gas in at least one area, the pipe network information including a running time of a system of the pipe network of the natural gas and gas leakage information of thepipe network; extracting feature information based on the running time and the gas leakage information;predicting a maintenance time of the pipe network by inputting the feature information into a maintenance time prediction model.

Abstract: The present disclosure provides a method and system for obtaining a user evaluation configured to a natural gas energy measuring. The method may include obtaining natural gas statistics data and regional user data during a preset time period in a target area; obtaining a user evaluation prediction result based on the natural gas statistics data and the regional user data by a user evaluation model; determining whether the user evaluation prediction result is abnormal based on an actual user evaluation; and if the user evaluation prediction result is abnormal, adjusting the user evaluation prediction result.

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.