本文關(guān)鍵詞：圓捆機(jī)草捆密度實(shí)時(shí)監(jiān)測(cè)系統(tǒng)設(shè)計(jì)與試驗(yàn)　出處：《江蘇大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 圓草捆打捆機(jī) 草捆密度 實(shí)時(shí)監(jiān)測(cè)系統(tǒng) 動(dòng)態(tài)稱重 試驗(yàn)

【摘要】：草捆密度是衡量打捆機(jī)作業(yè)質(zhì)量的主要性能指標(biāo)之一,草捆密度的實(shí)時(shí)監(jiān)測(cè)可獲取作業(yè)區(qū)域的草捆重量及其變化情況以及作業(yè)區(qū)域內(nèi)的總草量,對(duì)于穩(wěn)定控制草捆密度具有重要的研究意義。本文針對(duì)圓捆機(jī)草捆密度的監(jiān)測(cè)問題,設(shè)計(jì)了一套圓捆機(jī)草捆密度實(shí)時(shí)監(jiān)測(cè)系統(tǒng),主要工作包括以下內(nèi)容:(1)提出基于壓力檢測(cè)和姿態(tài)角的草捆動(dòng)態(tài)稱重方法:分析草捆成型過程,設(shè)計(jì)草捆動(dòng)態(tài)稱重承載臺(tái)。基于卸捆過程中承載臺(tái)的受力分析建立草捆動(dòng)態(tài)稱重?cái)?shù)學(xué)模型,基于ADAMS進(jìn)行草捆卸捆過程動(dòng)力學(xué)仿真,分析卸捆過程中草捆和承載臺(tái)的運(yùn)動(dòng)過程和承載臺(tái)數(shù)據(jù)采集臺(tái)面壓力、加速度和姿態(tài)角變化,對(duì)壓力曲線進(jìn)行分析和濾波處理,驗(yàn)證了草捆動(dòng)態(tài)稱重模型的正確性,為草捆密度監(jiān)測(cè)系統(tǒng)設(shè)計(jì)提供理論依據(jù)。(2)確定圓捆機(jī)草捆密度實(shí)時(shí)監(jiān)測(cè)系統(tǒng)總體方案:基于草捆動(dòng)態(tài)稱重?cái)?shù)學(xué)模型和系統(tǒng)功能、技術(shù)要求分析,確定由草捆動(dòng)態(tài)稱重承載臺(tái)、信號(hào)采集模塊、處理器、串口通信模塊、存儲(chǔ)模塊、LCD顯示模塊和電源模塊組成的監(jiān)測(cè)系統(tǒng)總體方案。以承載臺(tái)固定架長度、數(shù)據(jù)采集臺(tái)面寬度、數(shù)據(jù)采集臺(tái)面尾端至承載臺(tái)末端距離為試驗(yàn)因素,以稱重信號(hào)的平穩(wěn)性為試驗(yàn)指標(biāo),進(jìn)行承載臺(tái)方案優(yōu)選試驗(yàn),試驗(yàn)結(jié)果將固定架長度L=1.2 m,數(shù)據(jù)采集臺(tái)面寬度B=0.6 m,數(shù)據(jù)采集臺(tái)面尾端至承載臺(tái)末端距離D=0.1 m作為承載臺(tái)的最終優(yōu)選安裝方案。(3)圓捆機(jī)草捆密度實(shí)時(shí)監(jiān)測(cè)系統(tǒng)設(shè)計(jì):完成傳感器與處理器的選型和監(jiān)測(cè)系統(tǒng)的硬件電路設(shè)計(jì),并在此基礎(chǔ)上完成監(jiān)測(cè)系統(tǒng)的軟件設(shè)計(jì)。通過模擬草捆在數(shù)據(jù)采集臺(tái)面上的滾動(dòng)過程,對(duì)模擬滾動(dòng)過程中的稱重信號(hào)進(jìn)行分析,得出草捆動(dòng)態(tài)稱重過程中的稱重信號(hào)集中在5Hz以下頻段。基于MATLAB完成了FIR低通濾波器的設(shè)計(jì),實(shí)現(xiàn)了其在STM32中的應(yīng)用。草捆動(dòng)態(tài)稱重原始信號(hào)濾波前后對(duì)比表明,該濾波器對(duì)草捆動(dòng)態(tài)稱重信號(hào)有較好的濾波效果。(4)圓捆機(jī)草捆密度實(shí)時(shí)監(jiān)測(cè)系統(tǒng)測(cè)試與試驗(yàn):完成監(jiān)測(cè)系統(tǒng)的測(cè)試工作,檢驗(yàn)系統(tǒng)能否正常運(yùn)行。進(jìn)行了圓捆機(jī)草捆稱重系統(tǒng)的靜態(tài)標(biāo)定試驗(yàn)以及草捆動(dòng)態(tài)稱重模型的標(biāo)定試驗(yàn),得到了稱重系統(tǒng)的靜態(tài)標(biāo)定方程以及草捆動(dòng)態(tài)稱重模型的標(biāo)定方程。分別對(duì)重量為280.1 kg和405.3 kg的草捆進(jìn)行草捆動(dòng)態(tài)稱重模型的驗(yàn)證試驗(yàn),試驗(yàn)結(jié)果表明草捆動(dòng)態(tài)稱重系統(tǒng)的最大誤差為-3.4047%,系統(tǒng)的檢測(cè)精度小于5%,符合精度要求,對(duì)圓捆機(jī)作業(yè)時(shí)背包油缸有桿腔油壓的變化情況進(jìn)行了觀察和分析。
[Abstract]:Baling density is one of the main performance indicators to measure the operation quality of bundles. The real-time monitoring of Baling density can get the weight and change of the bales and the total amount of grass in the operation area, which is of great significance for the stable control of Baling density. Aiming at the problem of monitoring round baler bale density, designed a real-time round baler bale density monitoring system, the main work is as follows: (1) proposed a dynamic weighing method for bale pressure detection and attitude angle based on the analysis of the bale forming process, the design of dynamic weighing bale bearing platform. In the process of unloading stress bundle bearing platform based on analysis of the establishment of dynamic mathematical model of bale weighing, ADAMS bale discharging process based on the analysis of dynamics simulation of bundle, bundle in the process of unloading bales and bearing the motion process and bearing platform data acquisition table pressure, acceleration and attitude angle change, analysis and filtering of the the pressure curve, verify the correctness of the bale dynamic weighing model, provide a theoretical basis for design of bale density monitoring system. (2) determine the overall plan for bale density real-time monitoring system: a round bale bale weighing function, mathematical model and system requirements analysis based on the determined by the bale weighing bearing platform, the signal acquisition module, processor, serial communication module, memory module, LCD display monitoring system scheme module and a power module the. The bearing platform fixed frame length, data acquisition, data acquisition at the end of mesa mesa width to Taiwan at the end bearing distance as experiment factors, in order to smooth the weighing signal to test for bearing platform optimization test, test results of fixed frame length L=1.2 m, width B=0.6 m table data collection, data collection table to the end at the end of bearing platform distance D=0.1 m as the ultimate bearing platform installation scheme optimization. (3) the real-time monitoring system for baling density of round baling machine: Design of sensor and processor selection and monitoring system hardware circuit design, and on this basis, the software design of monitoring system is completed. By simulating the rolling process of bales on the data acquisition platform, we analyzed the weighing signals in the simulated rolling process, and got that the weighing signal in the baling dynamic weighing process was concentrated below the frequency band below 5Hz. The design of FIR low pass filter is completed based on MATLAB, and its application in STM32 is realized. The comparison of the original signal filtering before and after the dynamic weighing of the bales shows that the filter has a better filtering effect on the dynamic weighing signal of the bales. (4) test and test on the real-time monitoring system of the baling density of the baling machine: complete the testing of the monitoring system and test the normal operation of the system. The static calibration test of Baling weighing system of baler and the calibration test of Baling dynamic weighing model were carried out. The static calibration equation of the weighing system and the calibration equation of the baling dynamic weighing model were obtained. On weight of 280.1 kg and 405.3 kg bale bale weighing test model, test results show that the maximum error of bale dynamic weighing system is -3.4047%, the detection accuracy of the system is less than 5%, the accuracy meets the requirement, change of round baler working cylinder rod chamber pressure pack of observation and analysis.
【學(xué)位授予單位】：江蘇大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：S225

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