Human flow early-warning and analysis method and stem based on probe

A technology of early warning analysis and probe, applied in transmission systems, digital transmission systems, alarms, etc., can solve the problems of high cost, video monitoring and monitoring dead angle, monitoring distance, etc., to achieve high accuracy, avoid accidents, and low cost Effect

Active Publication Date: 2016-12-21
SHENZHEN MIRACLE WISDOM NETWORK CO LTD
View PDF8 Cites 65 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the high cost of high-definition video surveillance equipment in the prior art, the existence of monitoring dead angles in video surveillance, and the shortcomings of monitoring distances, and the quality of surveillance images is easily affected by the environment, the embodiment of the present invention provides a probe-based crowd flow early warning analysis method and system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human flow early-warning and analysis method and stem based on probe
  • Human flow early-warning and analysis method and stem based on probe
  • Human flow early-warning and analysis method and stem based on probe

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0045] The present invention provides a probe-based human flow early warning analysis method, such as figure 1 shown, including:

[0046] S100. Collect wireless packets sent by mobile terminals in the monitoring area through the probe built in the AP device, and transmit the wireless packet information to the probe server;

[0047] S200. Read the wireless packet information stored in the probe server, and parse out the MAC address of the mobile terminal carried in the wireless packet information;

[0048] S300. Analyze and calculate the detected MAC address data, obtain the flow of people in each...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a human flow early-warning and analysis method and stem based on a probe, and relates to the technical field of human flow early warning. The method comprises the steps: collecting a wireless message transmitted by a mobile terminal in a monitoring region through the probe, and transmitting the wireless message information to a probe server; reading the wireless message information stored in the probe server, and analyzing the MAC address, carried by the wireless message information, of the mobile terminal; carrying out the analysis and calculation of the detected MAC address data, obtaining the human flow of each region and each road segment in the monitoring region, and transmitting an analysis and calculation result to a visual platform; and displaying the result through the visual platform. The method records the information of human flow in real time in a process of employing the probe to detect the MAC address of each mobile terminal, is high in accuracy, is not affected by an environment, is low in cost, can timely pushes alarm and early-warning information to a user and related management personnel, so as to help a place manager make judgment in the first time.

Description

technical field [0001] The invention belongs to the technical field of human flow early warning, and in particular relates to a probe-based human flow early warning analysis method and system. Background technique [0002] The probe is a functional module that uses the wireless broadcast signal sent by the AP with the WIFI module of the smart device manufacturer to sense the device and collect the offline behavior track of the MAC address of the smart device. The AP is the HUB in the traditional wired network, and it is also the most commonly used device when building a small wireless LAN. The AP is equivalent to a bridge connecting the wired network and the wireless network. Its main function is to connect various wireless network clients together, and then connect the wireless network to the Ethernet. The data from different APs are aggregated and connected to the Internet through the AC (Wireless LAN Access Control Device), and at the same time complete the configuration...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/02H04L12/26
CPCH04W24/00G08B21/02H04L43/045
Inventor 傅东生
Owner SHENZHEN MIRACLE WISDOM NETWORK CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap