Cloud platform-based urban internet-of-things management system

Abstract

The invention discloses a cloud platform-based urban internet-of-things management system. According to the urban internet-of-things management system, a dynamic telescopic cloud computing platform built by Xen and Hadoop frameworks serves as a cloud service center. The cloud computing platform comprises an IaaS platform-based infrastructure layer, a PaaS-based middleware layer and an SaaS-based application layer, wherein a service provider platform layer and a user layer are divided in the application layer and unified in the same access control model through a loose coupling relationship; a multi-user database and an extensible user database are included in each access control model; the user layer or the service provider platform layer indirectly accesses the data in the multi-user database by virtue of a data access agent layer. According to the internet-of-things management system, changes of a single-user system can be reduced, different system accesses can be met, the transfer difficulty is reduced, and the data safety of each user is guaranteed.

Description

technical field [0001] The invention relates to an Internet of Things management system, in particular to an urban Internet of Things management system based on a cloud platform. Background technique [0002] With the continuous and extensive application of new technologies such as the Internet of Things, big data, and cloud computing, the research on urban Internet of Things management systems has become more and more in-depth, and the concept of smart cities has become more and more popular. However, in the process of promoting smart cities, due to the To the various systems of the city, so the current promotion of smart cities is very hindered, and the reasons are found to have the following defects in the current urban Internet of Things management system: 1. Cloud platform multi-user access control, cloud platform multi-user database mode and It is difficult to allocate resources on the cloud platform. Each system has its own set of resource access and allocation method...

AI Technical Summary

Problems solved by technology

[0002] With the continuous and extensive application of new technologies such as the Internet of Things, big data, and cloud computing, the research on urban Internet of Things management systems has become more and more in-depth, and the concept of smart cities has become more and more popular. However, in the process of promoting smart cities, due to the To the various systems of the city, so the current promotion of smart cities is very hindered, and the reasons are found to have the following defects in the current urban Internet of Things management system: 1. Cloud platform multi-user access control, cloud platform multi-user database mode and It is difficult to allocate resources on the cloud platform. Each system has its own set of resource access and allocation methods. It is difficult to integrate and cannot meet the diversity requirements of user access control strategies. The problem of authority inheritance between administrators and user administrators; the customization requirements of user resources cannot be met; 2. Since multiple systems are concentrated on the cloud platform, due to the need to open other systems, the original data is more secure. After being on the cloud platform, the security becomes worse; 3. Since the cloud platform needs to run in a multi-user environment, and there will be multiple single-user systems in other systems in the city, the single-user system will be migrated to a multi-user system based on the cloud platform. Running in a user environment, the operation is very complicated, and it may even be necessary to modify the entire framework of the single-user system, which requires a very large cost and a very long construction period

In addition, in the current urban Internet of Things management system, security management has always been the top priority, and the monitoring of suspects driving away is still relatively weak. At present, the monitoring of vehicles is always in the stage of taking photos at intersections or speeding, and cannot be timely. To track vehicles, the current security system can only roughly judge manually based on vehicle color and model style, and cannot achieve automatic monitoring, let alone further accurate real-time tracking, so that it is impossible to track the vehicle's running track

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