In the modern upgradation era, monitoring and control system is essential to ensure the smooth operation of the long-distance pipeline in the fluid transportation system. Now-a-days, to design an accurate online monitoring and control system represents a critical task that requires proactive planning in fluid transportation system. In the fluid pipeline system, the huge amount of fluid loss caused by leakages, cracks and blockages due to extreme pressure changes in the pipelines during transportation. The present research work focuses on developing Integrated IoT based intelligent architecture to perform online monitoring and control of pressure and flow rate in the fluid transportation system. The proposed Integrtaed IoT based architecture holds SCADA with LQR-PID controller as local control unit or local intelliegnce. During crack and leak occurrences in the fluid pipeline, SCADA with PID controller cannot afford desired control action due to drastic change in the pressure and the flow rate. Hence the entire architecture is monitored and accessed through high-level online server IoT interface to identify leaks and cracks in the pipeline at the initial stage before it leads to any catastropic situations. In order to attain better data communication between cloud server and pipeline hardware setup, smart IoT module is designed and fabricated. Once the crack or leaks is identified in the IoT front end, immediately emergency shut off is activated by the cloud server through smart IoT module by stopping the pump. The developed Integrated IoT architecture is experimentally validated in real-time lab-scale fluid transportation pipeline system. Further in this present work, the performance of Linear Quadratic Regulator-PID controller to regulate pressure and flow rate of the fluid being tansported is analyzed by comparing with convnetional controllers like Internal-Mode controller and Zigler–Nichols controller.

在现代升级时代，监控系统对于确保流体输送系统中长距离管道的平稳运行至关重要。如今，设计一个准确的在线监控系统代表着一项至关重要的任务，需要在流体运输系统中进行积极规划。在流体管道系统中，由于运输过程中管道中的极端压力变化而导致的泄漏，裂缝和堵塞导致大量的流体损失。目前的研究工作集中在开发基于集成物联网的智能架构，以对流体输送系统中的压力和流速进行在线监控。拟议的基于IoT的整体架构将SCADA和LQR-PID控制器作为本地控制单元或本地智能。在流体管道中出现裂纹和泄漏时，由于压力和流量的急剧变化，带有PID控制器的SCADA无法提供所需的控制作用。因此，整个架构可通过高级在线服务器IoT接口进行监控和访问，以在导致任何催化性情况之前在初始阶段识别管道中的泄漏和裂缝。为了在云服务器和管道硬件设置之间获得更好的数据通信，设计并制造了智能物联网模块。一旦在IoT前端识别出裂缝或泄漏，云服务器便会通过停止泵，通过智能IoT模块立即激活紧急关闭功能。所开发的集成物联网架构已在实时实验室规模的流体输送管道系统中进行了实验验证。