Research And Implementation Of Site Noise And Dust Monitoring System Based On IOS | | Posted on:2020-10-11 | Degree:Master | Type:Thesis | | Country:China | Candidate:Y D Sun | Full Text:PDF | | GTID:2381330602451062 | Subject:Computer Science and Technology | | Abstract/Summary: | PDF Full Text Request | | As urbanization development is ongoing,noise and dust pollution in construction sites have become one of the most urgent pollution problems.The traditional environmental supervision methods at home mainly rely on on-site surveys and paper records by official staff.This has many flaws including labor consuming,low efficiency,risk of data lost and non-real-time environment monitoring.It is necessary to develop a comprehensive monitoring system to watch the environment and send the data to regulators in real time.This paper designs and implements a set of site noise dust monitoring system based on i OS platform.The system fulfils real-time supervision of environmental conditions by continuously receiving environmental data collected by the sensing device.Users can easily and quickly view and manage all construction sites under the organization through i OS devices.The main system modules are: Statistical Analysis views real-time statistical data of the construction site.Task Management pushes and processes the over-standard behavior of the environmental indicators.Upload Module collects image and video information of the monitored site.Digital Watermarking Module is mainly used for security assurance and disclosure of forensic images.Live Broadcast Module is used for the scene status of the collection point.User Rights Management is used to limit the access rights of system users to system resources.Geographic Location Information Display realize map location of collection sites.Device Management manages hardware sensing devices in the system.The client app chooses OC as its development language.It adopts MVVM and componentization as its architecture ideology.It also uses data binding to perform the design of the whole framework and function modules.The server of the system uses My SQL to store data.It uses Nginx to build a streaming media server and RTMP protocol to succeed the live streaming function.In order to supervise and punish the noise and dust pollution in the construction of the construction site,the system provides the function of uploading the on-site environmental forensic image of the collection site.In order to ensure the security of data and the pursuit of data breaches,it is necessary to encrypt and manage related data and image information.To guarantee the security of image information,based on reversible group shifting and fast DCT-SVD,this paper presents a digital watermarking algorithm.The proposed algorithm is applied to the above system to assure the security of collected digital color images and help trace who is held accountable if necessary.The algorithm takes advantages of the robustness of group shifting to achieve the stability of watermarking algorithm with the help of DCT and SVD.The algorithm reduces the number of transform operations by performing 1DDCT in the spatial domain.It improves the efficiency of the DCT transform and its inverse transform by using the relationship between the 1D-DCT transform and the 2D-DCT transform.The experiment shows the proposed algorithm is more effective than other classical algorithms while ensuring the robustness of the digital watermark.It meets the needs of practical engineering applications. | | Keywords/Search Tags: | Environmental Monitoring, iOS, Digital Watermark, Fast DCT, Leak Tracking | PDF Full Text Request | Related items |
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