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Research On Worker Motion Monitoring System Based On Acceleration Sensor And LoRaMESH

Posted on:2020-02-14Degree:MasterType:Thesis
Country:ChinaCandidate:Q ShenFull Text:PDF
GTID:2392330578480034Subject:Engineering
Abstract/Summary:
With the rapid development of the power industry,the construction of power infrastructure continues to extend to remote areas.Construction teams often carry out construction in mountainous areas with complex terrain and poor cell phone signals.This poses a challenge to safety management: due to limited visibility and scattered personnel,it is more difficult for security personnel to monitor the status of workers.When workers are in distress,they are prone to undetected which could delay rescue.In response to the above problems,the traditional rules and regulations management method has little effect.A technical means is urgently needed to support the safety management of electric power construction personnel.This paper proposes a motion sensor-based self-organizing network monitoring scheme for power construction personnel.This paper analyzes the working environment characteristics of construction workers,and evaluates the main performance requirements of the system,and proposes the system design plan and research route.In this paper,a motion data acquisition device is designed.Based on 32-bit microprocessor,data preprocessing and eigenvalue extraction algorithm are designed.Multiple data acquisition experiments are organized,and the upper computer software is used for waveform analysis.In this paper,the data acquisition,data preprocessing,data feature value extraction and motion state recognition algorithms are compared by analyzing the research results of various motion state recognition.Different from the traditional sliding window method,the data based on event capture is proposed.Approach.The naive Bayes classifier is designed for the limited resources of embedded systems.This paper compares various wireless communication technologies with wireless sensor network protocols,and finally selects the LoRaMESH ad hoc network protocol to organize the communication architecture,and designs priority channels for emergency situations in the application protocol.In this paper,the monitoring capacitive touch screen interface is designed as the central node,and it has multiple functions: collecting the data of each terminal node,displaying the real-time status and equipment information of the workers and having the lock tracking function.This paper implements the product according to the requirements of the system solution,and completes the design and production of the hardware and the design and implementation of the software.Finally,the performance analysis is carried out through testing,and the optimization scheme is proposed.
Keywords/Search Tags:Electric power construction, motion recognition, event capture, naive Bayes, LoRaMESH
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