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University science and technology park intelligent management system based on distributed and big data

A management system and big data technology, applied in the field of intelligent management system of university science and technology park, to achieve the effect of reducing inaccurate detection results, accurate population quantification results, and eliminating population detection errors

Active Publication Date: 2022-07-15
南京金科院大学科技园管理有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a distributed and big data-based intelligent management system for university science and technology parks to solve existing problems

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  • University science and technology park intelligent management system based on distributed and big data

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Embodiment Construction

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0045] The embodiments of the distributed and big data-based smart management system for university science and technology parks of the present invention, such as figure 1 shown, including:

[0046] Video capture module: It is used to capture video data in areas where students are mainly active.

[0047] Specifically, the main activities of students in the past year in the University Science and Technology Park through big data anal...

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Abstract

The invention relates to a university science and technology park intelligent management system based on distribution and big data, and the system comprises a video collection module which is used for collecting video data of main activity areas of a plurality of students; the accurate quantification module is used for detecting the final number of people in each area by using a neural network and AP positioning; obtaining an initial people number quantification result of the corresponding region according to the final people number and the people number change rate of each region; determining the quantified number of people in the corresponding region by combining the initial number of people quantification result of each region and the joint error, and generating a distribution heat map according to the quantified number of people; the distribution visualization module is used for visually displaying the obtained distribution heat map; the attention regulation and control module is used for obtaining a regulation and control coefficient according to the heat value of each region; the distributed storage module is used for determining the number of the servers in each area according to the regulation and control coefficient and the total number of the servers, a more accurate student distribution condition is obtained, and the redundancy degree of storage and analysis in the system is reduced.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a smart management system of a university science and technology park based on distributed and big data. Background technique [0002] In recent years, with the rapid development of smart campus construction, the need to improve the construction of smart and accurate interconnected Internet and hardware devices in modern campuses needs to be solved urgently. In the face of massive data collected by surveillance cameras and wireless routing equipment, if all collected data are stored and analyzed, a server with high computing power is required, and the storage and analysis system has a large degree of redundancy. [0003] The traditional distribution of teachers and students based on pedestrian trajectory tracking and target detection has a delay, and when there are too many people, there are errors in the detection results. For example, to alleviate the risks caused...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/20G06V20/40G06V10/82G06N3/04G06N3/08G06Q50/20
CPCG06N3/04G06N3/08G06Q50/205Y02D10/00
Inventor 陶亮陈斌陈佳
Owner 南京金科院大学科技园管理有限公司