應用於AIoT的DDS攝影機網路設計與實作;The Design and Implementation of a DDS Camera Network for AIoT Applications

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题名:	應用於AIoT的DDS攝影機網路設計與實作;The Design and Implementation of a DDS Camera Network for AIoT Applications
作者:	柯佾均;Ko, Yi-Jun
贡献者:	資訊工程學系
关键词:	攝影機網路;智慧物聯網;資料分佈服務
日期:	2024-07-23
上传时间:	2024-10-09 17:04:30 (UTC+8)
出版者:	國立中央大學
摘要:	在當前人口老齡化日益加劇的背景下，智慧長照技術的興起為改善老年人生活質量提供了新的解決方案。然而，這也使得傳統攝影機網路面臨諸多挑戰。首先，隨著智慧長照需求的增長，攝影機網路需要處理更多的視頻數據，這對網路帶寬和數據傳輸速度提出了更高的要求。此外，攝影機網路的可靠性和穩定性也變得尤為重要，因為任何延遲或數據丟失都可能對老年人的安全和照護品質產生不利影響。同時，攝影機網路需要具備更強的可擴展性，以便能夠靈活地增加或減少監控設備。為了解決這些問題，本論文提出了一種應用於AIoT的DDS攝影機網路設計與實作。該系統利用DDS技術實現低延遲傳輸、可靠的數據傳輸以及靈活的可擴展性。利用Micro XRCE-DDS Client-Agent的架構，使得在低資源設備上也能夠與DDS Domain進行交互。實驗結果顯示，與廣泛應用於物聯網的MQTT相比，在使用單一設備進行傳輸時，DDS的傳輸延遲平均低了3.22毫秒；在三台設備同時傳輸時，DDS的傳輸延遲甚至平均低了14.84毫秒。此外，當增加至三台攝影機裝置時，DDS的延遲僅提升了39.30%，遠低於MQTT的133.54%。實驗結果表明，本論文的設計方法在降低傳輸延遲、增強傳輸可靠性以及提高系統靈活性和可擴展性方面具有顯著優勢。這些成果展示了DDS技術在智慧長照應用中的潛力，為未來老年人照護系統的發展提供了重要參考。;In the context of an increasingly aging population, the rise of smart long-term care technology offers new solutions to improve the quality of life for the elderly. However, this also presents numerous challenges for traditional camera networks. Firstly, with the growing demand for smart long-term care, camera networks need to handle more video data, which imposes higher demands on network bandwidth and data transmission speed. Additionally, the reliability and stability of camera networks become particularly important, as any delay or data loss could adversely affect the safety and quality of care for the elderly. Furthermore, camera networks need to have strong scalability to flexibly add or reduce monitoring devices.To address these issues, this thesis proposes the design and implementation of a DDS camera network for AIoT applications. The system utilizes DDS technology to achieve low-latency transmission, reliable data transmission, and flexible scalability. We use the Micro XRCE-DDS Client-Agent architecture to enable interaction with the DDS domain even on low-resource devices. Experimental results show that, compared to the widely used MQTT in IoT, DDS has an average transmission latency that is 3.22 milliseconds lower when using a single device. When three devices are transmitting simultaneously, DDS′s average transmission latency is even 14.84 milliseconds lower. Moreover, when the number of camera devices increases to three, DDS′s latency only increases by 39.30%, significantly lower than MQTT′s 133.54%.The experimental results demonstrate that our design approach has significant advantages in reducing transmission latency, enhancing transmission reliability, and improving system flexibility and scalability. These findings highlight the potential of DDS technology in smart long-term care applications, providing important references for the future development of elderly care systems.
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