Optimizing the data acquisition rate for a remotely controllable structural monitoring system with parallel operation and self-adaptive sampling

Abstract

We present a novel technique that optimizes the real-time remote monitoring and control of dispersed civil infrastructures. The monitoring system is based on fiber Bragg gating (FBG) sensors, and transfers data via Ethernet. This technique combines parallel operation and self-adaptive sampling to increase the data acquisition rate in remote controllable structural monitoring systems. The compact parallel operation mode is highly efficient at achieving the highest possible data acquisition rate for the FBG sensor based local data acquisition system. Self-adaptive sampling is introduced to continuously coordinate local acquisition and remote control for data acquisition rate optimization. Key issues which impact the operation of the whole system, such as the real-time data acquisition rate, data processing capability, and buffer usage, are investigated. The results show that, by introducing parallel operation and self-adaptive sampling, the data acquisition rate can be increased by several times without affecting the system operating performance on both local data acquisition and remote process control.

IoT-Based Data-Driven Predictive Maintenance Relying on Fuzzy System and Artificial Neural Networks

“…The idea of IoT is based on the fact that the parts of a particular system can link to each other and also to other separate systems through the Internet of things, to exchange information, which is usually huge. This data is carefully collected, analyzed, and compared to reach outputs, which can determine the location of the failure and the expected time of failure [12]. One of the most important factors that helped spread the concept of the Internet of Things in the industrial field is the continuous progress in the development of the smart sensors, which are placed in every part of the machine, and it is able to send its data at the same time and link it to all the components of the factory to become a digital system.…”

“…The problems raised in this study is determine severity and risk evaluation of sudden failure of corrugated cardboard production machines parts and that is reason for high lost time. So far, preventive maintenance has been carried out every week for inspection, revision and lubrication of mechanical parts and every month to remove the mechanical and electrical parts that have been monitored for performance and require close inspection, but unexpected failures still occurs [10][11][12]. Which is causes the production line stop completely.…”