Design And Research Of On-line Monitoring System For Cotton Output Based On WSN

Precision agriculture technology has become an important subject of concern and research in various countries in the new century.How to quickly and accurately obtain the spatial distribution of crops is of great significance for implementing precision agriculture and improving economic benefits.In China,the application of yield monitoring technologies for corn,wheat and other food crops has promoted the development of precision agriculture,but my country's cotton yield monitoring technologies are still in their infancy.Cotton is an important economic crop and strategic material in my country,and cotton harvesting is an important link in the cotton industry.Xinjiang is the main cotton producing area.Its large-scale cotton production mechanization has replaced high-cost labor.With the increase of cotton pickers,it provides a basic platform for cotton output monitoring.The existing cotton picker output monitoring system measures production.The accuracy and reliability of the communication method cannot meet user requirements.For this reason,this paper proposes an efficient and reliable cotton flow monitoring technology based on the existing cotton picker models.This article mainly uses Wireless Sensor Networks(WSN)technology,Beidou positioning system and Beidou short message communication technology to design and study an online monitoring system for cotton picker output based on WSN.The main content and innovations of this article are as follows:1.The paper designs an infrared on-beam cotton flow monitoring device based on wireless sensor network technology.First,measure the shape characteristics of static seed cotton,determine the diameter and mass distribution of cotton,and establish a cotton model to provide a theoretical basis for the design of the monitoring device.Secondly,it analyzes the current flow monitoring method of cotton in the cotton conveying pipe of the cotton picker.By studying the dynamic characteristics of the cotton in the cotton conveying pipe,a reasonable number of infrared on-beam wireless sensors is determined to improve the accuracy of cotton flow monitoring.Finally,determine the appropriate sensor module,design the main components of the infrared through-beam cotton flow monitoring device,build a wireless sensor network,and determine its installation plan.2.The research of data transmission method is mainly divided into two parts: the short-range wireless data transmission inside the cotton picker,and the remote data transmission between the cotton picker and the online monitoring platform.The short-range wireless data transmission inside the cotton picker adopts wireless sensor network technology:STM32F103 single-chip microcomputer is selected as the processor,CC2530 radio frequency module as the wireless transceiver,the self-organizing network protocol based on theIEEE802.15.4 wireless standard is studied,and the wireless sensor network node is designed.Sensor nodes adopt appropriate sleep strategies to reduce the power consumption of nodes;the two-way communication between the cotton picker and the online monitoring platform uses remote Beidou short message communication technology: according to the Beidou short message communication protocol,determine the wireless operation and positioning information of the cotton picker The remote transmission plan is to formulate the coding method of the communication information between the remote monitoring platform and the cotton picker to realize the two-way communication between the cotton picker and the remote monitoring platform.3.Cotton output monitoring data processing: filtering and threshold segmentation of the analog signals output by the wireless sensor network are converted into digital signals,and the sensor monitoring data preprocessing is completed to facilitate the digital information analysis of cotton flow.In order to obtain high-precision cotton flow data,a method for eliminating self-interference noise and mutual interference noise of cotton flow signals based on a three-dimensional image processing algorithm was proposed for the first time,combined with Beidou positioning technology to achieve the positioning of the cotton picker,and a differential positioning error processing method was used.It eliminates the interference error of the Beidou positioning system and improves the positioning accuracy of the cotton picker used in Shihezi.At the same time,with the help of Matlab software,the cotton flow data processing method was simulated and verified,and the simulation results showed that the method can effectively improve the accuracy of system monitoring.4.Transplantation and testing of online monitoring system: Based on the online remote monitoring system for cotton pickers of Xinjiang Xinjian Modern Agricultural Engineering Development Co.,Ltd.,it mainly optimizes and improves the short-range wireless transmission and remote data transmission and positioning methods inside the cotton pickers of the existing system.Construct a real-time cotton picking remote management platform based on the Internet;generate a cotton spatial distribution map based on the acquired cotton picker status information and cotton output data to provide a theoretical basis for cotton variable management.Finally,the Beidou positioning system static positioning system test,field vehicle walking accuracy test and field harvest test were completed.The test results verified that the monitoring accuracy and positioning accuracy of the cotton picker online monitoring system met the requirements of use.