Early warning method and system for regional public security management in smart city based on the internet of things

Patent metadata

Field	Value
Publication number	US-2023066101-A1
Application number	US-202218049624-A
Country	US
Kind code	A1
Filing date	Oct 25, 2022
Priority date	Sep 29, 2022
Publication date	Mar 2, 2023
Grant date	—

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.

First claim

What is claimed is:

1 . An early warning method for a regional public security management in a smart city based on the Internet of Things (IoT), wherein the IoT includes a user platform, a service platform, a public security management platform, a sensing network platform and object platforms interacted in turn, the early warning method comprising:
obtaining, based on the user platform, a user's inquiry instruction of each region, and sending the inquiry instruction to the public security management platform through the service platform; in response to the inquiry instruction, obtaining, from at least one monitoring device of at least one target region based on a sensing network sub-platform of the sensing network platform, a monitoring image of the at least one target region by the public security management platform; the at least one monitoring device being configured in the different object platforms, wherein the sensing network platform uses different sensing network sub-platforms to store, process and/or transmit data from different object platforms, and the sensing network sub-platforms correspond to different target regions; the public security management platform uses different management sub-platforms for the data storage, the data processing and/or the data transmission, and performs a data summarizing, the data processing and the data transmission through a general database of the public security management platform; sending, based on the sensing network sub-platform, the monitoring image of the corresponding target region to the management sub-platform; processing, based on the 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 (UAV) to go to the target region for monitoring.

2 . The early warning method of claim 1 , wherein the determining risk index of the at least one target region based on the monitoring image comprises:
determining a suspicious index of each of one or more persons in the monitoring image; determining one or more suspicious persons in response to the determination that the suspicious index meets a preset condition; and determining, based on the one or more suspicious persons, the risk index of the target region.

3 . The early warning method of claim 2 , wherein the suspicious index grows with the increase of time of the at least one person staying in the target region.

4 . The early warning method of claim 3 , wherein a growth rate of the suspicious index is related to a track suspicion, the track suspicion is determined through the following operations:
obtaining an action track of each person in the monitoring image; extracting a track feature based on the action track; and determining the track suspicion based on the track feature.

5 . The early warning method of claim 2 , wherein determining the risk index of the target region based on the one or more suspicious persons further comprises:
determining, based on monitoring images of a plurality of adjacent frames, a distance between the suspicious persons; determining, based on the distance, a suspicious group to which the suspicious persons belong; and determining, based on the suspicious group, the risk index of the target region.

6 . The early warning method of claim 5 , wherein the determining the risk index of the target region based on the suspicious group comprises:
determining, based on a sum of suspicious group indexes of each suspicious group in the target region and an amplification factor, the risk index of the target region, the amplification factor being used to reflect a count of suspicious persons in the suspicious group.

7 . The early warning method of claim 6 , wherein the risk index of the target region is related to a distribution vector of the suspicious group in the target region.

8 . The early warning method of claim 1 , wherein the early warning method further comprises:
obtaining a plurality of risk indexes of the target region in a plurality of time periods; and determining, in response to an average value of the plurality of risk indexes greater than a second threshold, the target region as a daily patrol point.

9 . The early warning method of claim 8 , wherein a patrol frequency of the daily patrol point is related to a ratio of a suspicious group whose suspicious index is greater than a preset threshold in the distribution vector of the suspicious group.

10 . An early warning system for a regional public security management in a smart city based on the Internet of Things (IoT), wherein the early warning system includes a user platform, a service platform, a public security management platform, a sensing network platform and an object platform interacted in turn, wherein:
the user platform is configured as at least one terminal device to obtain a user's inquery instruction on a risk index of each region; and the object platform is configured as at least one monitoring device; the public management platform is configured to:
obtain the inquiry instruction based on the user platform;
in response to the inquiry instruction, obtain, from at least one monitoring device of at least one region based on a sensing network sub-platform of the sensing network platform, a monitoring image of the at least one target region by the public security management platform; the at least one monitoring device being configured in the different object platforms, wherein the sensing network platform uses different sensing network sub-platforms to store, process and/or transmit data from different object platforms, and the sensing network sub-platforms respond to different target regions; the public security management platform uses different management sub-platforms for the data storage, the data processing and/or the data transmission, and performs a data summarizing, the data processing and the data transmission through a general database of the public security management platform;
send, based on the sensing network sub-platform, the monitoring image of the corresponding target region to the management sub-platform;
process, based on the management sub-platform, the monitoring image to determine a risk index of the at least one target region;
generate early warning information in response to the risk index of the target region greater than a first threshold, and send the early warning information to the user platform through a general database of the management platform and the service platform; and
obtain a management instruction based on the user platform, and control, according to the management instruction, an unmanned aerial vehicle (UAV) to go to the target region for monitoring.

11 . The early warning system of claim 10 , wherein the public security management platform is configured to perform the following operations:
determining a suspicious index of each of one or more persons in the monitoring image; determining one or more suspicious persons in response to the determination that the suspicious index meets a preset condition; and determining, based on the one or more suspicious persons, the risk index of the target region.

12 . The early warning system of claim 11 , wherein the suspicious index grows with the increase of time of the at least one person sta

Assignees

• Chengdu Qinchuan Iot Tech Co Ltd

Inventors

• Shao Zehua
• Li Yong
• Liu Bin
• Quan Yaqiang
• Liang Yongzeng

Classifications

• B64U2101/31

  for surveillance · CPC title

• B64U10/13

  Flying platforms · CPC title

• G06Q10/0635

  Risk analysis of enterprise or organisation activities · CPC title

• G06F16/53

  Querying · CPC title

• G06V20/53

  Recognition of crowd images, e.g. recognition of crowd congestion · CPC title