Chengdu Qinchuan Iot Technology Co., Ltd.

Zhihui Wen

Zehua Shao

Yong Li

Xiaojun Wei

Yaqiang Quan

Yongzeng Liang

Haitang Xiang

Bin Liu

Lei Zhang

Junyan Zhou

Yuefei Wu

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.

Methods and internet of things (IoT) systems for determining fire rescue plan in smart city

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.

Methods for shared bicycle delivery and operation area planning in smart cities and internet of things (IoT) systems thereof

The embodiments of the present disclosure provide a method for planning a garbage cleaning route in a smart city and an Internet of Things (IoT) system. The method is implemented by the Internet of Things system for planning a garbage cleaning route in a smart city. The IoT system includes a user platform, a service platform, a management platform, a sensor network platform and an object platform. The method is performed by the management platform. The method includes obtaining monitoring information on at least one road in a road network area, and recognizing a garbage accumulation situation on the at least one road; determining at least one target garbage cleaning point based on the garbage accumulation situation; and determining a garbage cleaning route based on the at least one target garbage cleaning point.

Methods for planning garbage cleaning route in smart cities and internet of things systems thereof

A method and a system for place recommendation in the smart city based on an Internet of Things are provided. The method is implemented by a management platform. The method includes: obtaining place information and pedestrian flow information of places, the place information including a count of the places, at least one distance between the places, and control measures for entrances and exits in each place, and control measures for passages, and the control measures include whether the entrances, exits, and passages in each place are closed; determining a plurality of candidate control schemes for the places based on the place information and the pedestrian flow information of the places; and determining a target control scheme of the places based on the plurality of candidate control schemes.

Methods for place recommendation in the smart cities based on internet of things and the internet of things systems thereof

The embodiments of the present disclosure provide a method and a system for parameter adjustment of street lamps in a smart city based on an Internet of Things, the method is realized by the system, which 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: issuing a data acquisition instruction to receive road images acquired by the object platform; issuing a parameter determination instruction to determine irradiation intensities of the street lamps on a road based on the road images; acquiring navigation routes of vehicles by communicating with navigation systems of the vehicles; determining road segments where the vehicles are coming and estimated times when the vehicles arrive at the road segments; and adjusting the irradiation intensities of the street lamps at the road segments in a preset time in advance.

Method and system for parameter adjustment of street lamps in smart city based on Internet of Things

The embodiments of the present disclosure provide a method for post-disaster contact in a smart city based on Internet of Things, which is applied to a management platform. The method comprises: in response to the occurrence of a disaster event, obtaining event-related information from an object platform through a sensor network platform; determining information and status of one or more related objects based on the event-related information; determining one or more contact persons who need to be notified based on the information of the one or more related objects; and sending notification information to the one or more contact persons by sending the notification information to a user platform through a service platform.

Methods and systems for post-disaster contact in smart city based on the internet of things

The present disclosure provides a method for cleaning communal facilities in a smart city based on an Internet of Things. The method includes: obtaining first cleanliness information of the communal facilities in a target area at a first time point; obtaining weather information, construction information, factory information, and traffic information of the target area during a target time period; determining second cleanliness information of the communal facilities at the second time point based on the first cleanliness information, the weather information, the construction information, the factory information, and the traffic information through a cleanliness assessment model; determining, based on the second cleanliness information, target cleanliness information of the communal facilities at the second time point; determining the communal facilities as target communal facilities when the target cleanliness information satisfies a preset condition, and determining cleaning instructions for cleaning the target communal facilities and sending them to an object platform.

Methods for cleaning communal facilities in smart cities based on the internet of things, systems, and mediums

The present disclosure provides a method for regional population management in smart cities based on an Internet of Things (IoT). The method includes obtaining population-related data in a historical target time period through an object platform based on a sensor network platform, predicting the a number of children population in a future target time period based on the population-related data, determining a construction plan of children's management institutions based on the number of children population, the construction plan including a number of the children's management institutions, and feeding back the construction plan to a user through a user platform based on a service platform.

Methods and systems for regional population management in smart cities based on the internet of things

The present disclosure provides a method for determining an allocation scheme of accident rescue resource in a smart city. The method comprises: obtaining accident information of an accident point based on the object platform; sending the accident information to the management platform based on the sensor network platform; determining resource demand of the accident point based on the accident information through the management platform; obtaining available resource of at least one candidate rescue point based on the object platform; sending the available resource to the management platform based on the sensor network platform; determining the allocation scheme of rescue resource based on the resource demand and the available resource through the management platform; and sending the allocation scheme of rescue resource to the user platform through the service platform.

Methods for determining an allocation scheme of accident rescue resource in a smart city and internet of things systems

The embodiments of the present disclosure provide methods and Internet of Things systems for managing traffic road cleaning in smart city. The method is executed by a traffic management platform, comprising: obtaining a road video captured by an imaging device on a road during a time period; extracting a target image from the road video and processing the target image through a prediction model to predict a road cleanliness; processing the road video in the time period and predicting a flow corresponding to the road; and controlling a road sweeper to clean the road based on the flow and the road cleanliness.

Methods and internet of things systems for managing traffic road cleaning in smart city

This present disclosure provides a method and system for fire monitoring and early warning in a smart city based on Internet of Things. The method being executed by the management platform, and the method comprising: obtaining monitoring data collected by the object platforms through the sensor network platform, the monitoring data including smoke data, temperature data, image data of a drone, and manual inspection data, the manual inspection data being obtained based on a manual inspection interval; determining a fire risk level based on the monitoring data; in response to the fire risk level meeting a preset condition, sending an alarm to the user platform through the service platform; and in response to the fire risk level not meeting the preset condition, determining the manual inspection interval based on the fire risk level, and sending the manual inspection interval to the service platform and/or the user platform.

Methods and systems for fire monitoring and early warning in a smart city based on internet of things

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.

Methods for managing traffic congestion in smart cities and internet of things (IoT) systems thereof

The disclosure provides a method and a system for muck processing in a smart city based on Internet of Things. The method is performed by a management platform, including: 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, obtaining dropped muck situation information of the muck truck in different time periods and determining muck truck management information by performing muck processing information analysis based on the muck truck monitoring data, determining vehicle dust situation information through a fourth model, determining a dropped muck reason or a dust reason through a third model, and issuing different processing instructions based on different reasons of dropped muck and/or dust produced by the muck truck.

Method and system for muck processing in smart city based on Internet of Things

The present disclosure provides a method and an Internet of Things system for managing a camera device of a public landscape in a smart city. The method is implemented based on the Internet of Things system, the system including a plurality of user platforms, a service platform, a management platform, and a plurality of object platforms. The method includes: counting, based on the service platform, a count of audience of the landscape images corresponding to the different user platforms in a preset future duration, and sending the count of the audience to the management platform, wherein the count of audience of the landscape images corresponding to the different user platforms in the future duration is determined through processing the count of the audience of the landscape images in a preset historical duration based on a third prediction model, and the third prediction model is the machine learning model; and determining, based on the management platform, a camera device to be canceled, the camera device to be canceled being a camera device corresponding to a landscape image whose the count of the audience does not satisfy a preset condition.

Methods and internet of things systems for managing camera devices of public landscape in smart cities

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.

Growing community of inventors

Chengdu, China

Zhihui Wen