Guo, J.; Wang, K.; Sun, J.; Jia, Y. Research and Implementation of Low-Power Anomaly Recognition Method for Intelligent Manhole Covers. Electronics2023, 12, 1926.
Guo, J.; Wang, K.; Sun, J.; Jia, Y. Research and Implementation of Low-Power Anomaly Recognition Method for Intelligent Manhole Covers. Electronics 2023, 12, 1926.
Guo, J.; Wang, K.; Sun, J.; Jia, Y. Research and Implementation of Low-Power Anomaly Recognition Method for Intelligent Manhole Covers. Electronics2023, 12, 1926.
Guo, J.; Wang, K.; Sun, J.; Jia, Y. Research and Implementation of Low-Power Anomaly Recognition Method for Intelligent Manhole Covers. Electronics 2023, 12, 1926.
Abstract
This paper addresses the difficulty of balancing real-time response and low power consumption in intelligent manhole cover application scenarios. It proposes a method to distinguish normal and abnormal events by segmenting the boundary where the acceleration of the intelligent manhole cover deviates from a set threshold and lasts for a certain period, based on the difference in vibration patterns of the intelligent manhole cover when a normal event and an abnormal event occur. This paper uses digital output motion sensor data autonomous data fusion to implement the pattern mentioned above recognition algorithm, which reduces the MCU computing and working time and the overall power consumption of the system while meeting the real-time response requirements. The test results demonstrate that the method has a high rate of anomaly recognition accuracy. The method ensures the system's real-time response capability, and the actual low power consumption test demonstrates that the device can operate continuously for 9.5 years. The low power consumption index exceeds the requirements of the existing national standard, thereby resolving the issue that it is challenging to balance intelligent manhole cover abnormality recognition and low power consumption.
Keywords
low power consumption; Internet of Things; Intelligent manhole cover; attitude solving
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
