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remote monitoring system for maize seeding parameters based on Android and wireless communication

International Journal of Agricultural and Biological Engineering 2020年第6期13卷 159-165页

作者： Chunji Xie Dongxing Zhang Li Yang Tao Cui Xiangjun Zhong Yuhuan Li Youqiang Ding Zhengliang Ding College of Engineering China Agricultural UniversityBeijing 100083China

Most traditional maize seeding parameter monitoring devices use wired data *** problems include wiring troubles,short transmission *** human-computer interaction display terminals are unique and usually customized rather than universal.A remote monitoring system for maize seeding parameters based on Android and wireless communication was developed in this *** system used a single-chip microcomputer as the main controller and an infrared photoelectric sensor to capture seed *** Android terminal application was used to set and display the seeder’s seed parameter information and monitor *** Air202 communication module enabled remote data transmission,while the Global Positioning system(GPS)monitored the speed of the *** establishing a message queue telemetry transmission(MQTT)cloud served as a data freight station,data reception,storage and forwarding can be *** parameters can generate Excel spreadsheets in real-time for easy data processing and *** order to verify the reliability of the system,the seeding parameter monitoring comparison test and the multi-terminal remote monitoring test were *** results of the seeding parameter monitoring comparison test showed that the monitoring system of this study had higher monitoring *** maximum average relative error of seeding parameter monitoring was 0.4%,which had high monitoring *** multi-terminal remote monitoring test showed that the monitoring system of this research can adapt many types of Android terminals,realize the wireless connection,and realize remote synchronous monitoring at different *** study provides a reference for intelligent remote monitoring and intelligent agriculture on unmanned farms.

关键词： remote monitoring system maize seeding parameters Android and wireless communication remote synchronous monitoring intelligent agriculture

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Implementation of remote monitoring system for prediction of tool wear and failure using ART2

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Journal of Central South University 2011年第1期18卷 177-183页

作者： NOH Min-Seok HONG Dae Sun School of Mechatronics Changwon National University

remote monitoring of tools for prediction of tool wear in cutting processes was considered, and a method of implementation of a remote-monitoring system previously developed was proposed. Sensor signals were received and tool wear was predicted in the local system using an ART2 algorithm, while the monitoring result was transferred to the remote system via intemet. The monitoring system was installed at an on-site machine tool for monitoring three kinds of tools cutting titanium alloys, and the tool wear was evaluated on the basis of vigilances, similarities between vibration signals received and the normal patterns previously trained. A number of experiments were carried out to evaluate the performance of the proposed system, and the results show that the wears of finishing-cut tools are successfully detected when the moving average vigilance becomes lower than the critical vigilance, thus the appropriate tool replacement time is notified before the breakage.

关键词： tool wear remote monitoring system ART2 neural network machine tool tool replacement time

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Design of DSP-based Embedded Video remote monitoring system

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Semiconductor Photonics and Technology 2009年第3期15卷 173-178页

作者： CHEN Lei WANG Jin-hai DONG-le College of Information and Communication Engineering Tianjin Polytechnic University Tianjin 300160 CHN

Presented is a scheme of an embedded video remote monitoring system based on TMS320DM642. Using DM642 as the data processing core, the remote monitoring system is composed of video acquisition module, video processing module and communication module, which gives an implementation of class/mini driver module in DSP/BIOS integrated developing environment and also a common task module in application layer is achieved. The system realizes the entire functions of the analog video signal acquisition, H.264 video coding and Internet transmission. It provides the general connection for the future development and has good flexibility and extendibility. The system uses a modular design and overall development of programming methods to improve the efficiency of system development.

关键词： DM642 remote monitoring system H. 264 video capture network interface

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The Design of Oil Field remote monitoring system based on Improved B/S Structure

The Design of Oil Field Remote Monitoring System based on Im...

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2011 International Conference on Engineering and Information Management (ICEIM 2011)

作者： Wang Miaomiao Li Na Shi Leina Institute of Information Engineering Handan College

The design of oil field remote monitoring system based on GPRS and Internet technology can achieve unguarding oil field management and monitoring oil well data information *** system has the function of auto-alarm for the manager who can treat it immediately when the oil leakage , and is designed on embedded system based on GPRS and Internet controlling system, combinating B/S structure of remote control network and understanding data information of each oil wells.

关键词： GPRS remote monitoring system Oil Field

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remote monitoring Algorithm for Unmanned Surface Vessel:A system Based on Classification and Learning

Remote Monitoring Algorithm for Unmanned Surface Vessel:A Sy...

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第40届中国控制会议

作者： Longfei Ma Hsiucheng Wang Fenghua Liu Kaiyuan Li School of Telecommunications Engineering Xidian University

The Unmanned Surface Vessel（USV） is a type of driverless and intelligent vessel capable of automatic *** can perform the extremely dangerous tasks that humans cannot complete. Through a method that combines classification and learning, we have built a remote monitoring system for USV. This system uses the Chebyshev fitting algorithm to process the data features of the UAV working states by preprocessing the telemetry data. Feature vectors substitute the original data. Based on reinforcement learning and PSO-improved SVM, state analysis of the USV is implemented in the Microsoft Foundation Classes（MFC） environment. By comparing with other algorithms, the performance of the designed system verifies its effectiveness, and at the end of this paper, we also discussed the limitations of the algorithm.

关键词： reinforcement learning particle swarm optimization support vector machine unmanned surface vessel remote monitoring system

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