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Design Of Lawn Maintenance System Based On Low Power LoRa Wireless Networking Technology

Posted on:2021-04-25Degree:MasterType:Thesis
Country:ChinaCandidate:H D ZhangFull Text:PDF
GTID:2393330605450728Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Green lawn has become an essential part of human living ecology by virtue of beautifying living environment,improving air quality and conserving soil and water,to improve lawn quality,lawn maintenance is very important.At present,the intelligent maintenance technology of lawn is widely used,mainly in the field of intelligent irrigation and intelligent mowing,but there are the following disadvantages: the application of the two technologies are independent,unable to coordinate work;the local control is the main control way,unable to real-time monitoring and remote control of equipment status;the performance needs to be improved,such as the performance of communication technology and the effective working area of intelligent mowing technology.Aiming at the shortcomings of the current lawn intelligent maintenance technology,this paper designs a lawn maintenance system based on low-power Lora wireless networking technology.Through the independently designed Lora wireless networking technology,the intelligent irrigation and intelligent mowing equipment are interconnected,the work of each equipment is coordinated,and the feedback lawn irrigation is realized.Through the Lora gateway,the equipment is connected to the Internet,and the cloud platform and APP software are designed realizes the remote control and management of the system;advanced Lora communication technology is used to realize the long-distance reliable communication with low power consumption.The designed lawn maintenance system has the characteristics of real-time,practicality,memory,reliability and intelligence.In view of the fact that some devices need to work outdoors for a long time under the condition of limited energy,because the wireless communication energy consumption is the largest,the MAC layer of radio frequency state scheduling in wireless network protocol stack is designed with low power consumption.Aiming at reducing the crosstalk power consumption and listening power consumption,a low power consumption MAC protocol with adaptive load is designed.First,the crosstalk power consumption is reduced by the preamble division,and then through a double threshold load decision mechanism is proposed to adjust the listening period adaptively,which can reduce the listening power consumption while ensuring the quality of network communication.The related tests show that the real-time performance of data communication is better,and the total power consumption of wireless communication is reduced by more than 50% compared with the traditional B-MAC.In view of the limitation of the effective working area of the intelligent mower caused by the disadvantages of the current edge recognition technology of the intelligent mower based on electromagnetic induction,such as the complex signal characteristics,the poor performance of the signal extraction and processing methods,and the weak anti-interference ability,etc.,this paper studies the improvement and designs an edge recognition method based on the three-level differential signal processing,which generates the difference through the sensor signal induction circuit,the main amplifying circuit amplifies the differential signal and filters out the high-frequency interference.Finally,the high signal-to-noise ratio differential signal is extracted by the SDADC over sampling,noise shaping and digital filtering technology of the digital acquisition circuit.The test shows that the designed recognition method can reliably identify the boundary state in 2000 square meters of lawn.
Keywords/Search Tags:lawn maintenance, LoRa, low power, intelligent lawn mower, boundary recognition
PDF Full Text Request
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