發(fā)布時(shí)間：2018-12-10 06:59

【摘要】：隨著當(dāng)代經(jīng)濟(jì)的快速發(fā)展,散狀物料的貿(mào)易運(yùn)輸量急劇上升,促使對(duì)動(dòng)態(tài)稱重的要求越來越高,而現(xiàn)有的電子皮帶秤在使用過程中準(zhǔn)確度較低,長期穩(wěn)定性更差,且存在數(shù)據(jù)波動(dòng),很難滿足貿(mào)易計(jì)量的要求。物聯(lián)網(wǎng)技術(shù)的發(fā)展帶動(dòng)了傳統(tǒng)衡器行業(yè)的轉(zhuǎn)型,運(yùn)用計(jì)算機(jī)和信息技術(shù)對(duì)皮帶秤工作狀態(tài)進(jìn)行監(jiān)管,降低了人為干預(yù)引起的誤差,進(jìn)而確保設(shè)備的長期運(yùn)行精度。本文借助物聯(lián)網(wǎng)技術(shù),提出了基于物聯(lián)網(wǎng)的散料高精度智能稱重系統(tǒng),以此實(shí)現(xiàn)對(duì)稱重設(shè)備的實(shí)時(shí)數(shù)據(jù)采集與監(jiān)控預(yù)警。主要工作包括以下幾個(gè)方面:(1)研究了皮帶秤工作的特點(diǎn)以及現(xiàn)狀,分別對(duì)皮帶秤智能稱重系統(tǒng)總體及其各個(gè)功能模塊的需求進(jìn)行分析,并詳細(xì)分析各個(gè)功能模塊之間的關(guān)系,進(jìn)而對(duì)智能稱重系統(tǒng)的總體框架進(jìn)行設(shè)計(jì)。(2)分析了電子皮帶秤的各稱重誤差類型及其來源,針對(duì)溫度和張力這兩大主要誤差因素進(jìn)行詳細(xì)的分析,并通過實(shí)驗(yàn)采集數(shù)據(jù),進(jìn)一步分析主要誤差影響因素之間的關(guān)系。(3)分析了傳統(tǒng)的aiNet網(wǎng)絡(luò)模型對(duì)于機(jī)械故障診斷的優(yōu)勢(shì)以及不足,在此基礎(chǔ)上引入克隆變異算法以及K近鄰理論,設(shè)計(jì)了多層免疫網(wǎng)絡(luò)模型,通過自有診斷層和自適應(yīng)診斷層互相配合,實(shí)現(xiàn)對(duì)新故障的有效識(shí)別。對(duì)遺傳算法、傳統(tǒng)的aiNet網(wǎng)絡(luò)模型和改進(jìn)后的多層免疫網(wǎng)絡(luò)模型進(jìn)行試驗(yàn)對(duì)比,找出最適合的方法。(4)詳細(xì)分析與設(shè)計(jì)了散料高精度智能稱重系統(tǒng)的各個(gè)子模塊,包括數(shù)據(jù)采集與處理、故障診斷、系統(tǒng)管理和監(jiān)督等功能。最后運(yùn)用B/S架構(gòu)實(shí)現(xiàn)了散料高精度智能稱重系統(tǒng)。
[Abstract]:With the rapid development of modern economy, the volume of trade transportation of bulk materials increases sharply, which makes the demand for dynamic weighing more and more high. However, the existing electronic belt weighers have lower accuracy and worse long-term stability in the process of use. And there are data fluctuations, it is difficult to meet the requirements of trade measurement. The development of the Internet of things technology has led to the transformation of the traditional weighing equipment industry. The use of computer and information technology to supervise the working state of the belt scale reduces the error caused by human intervention and thus ensures the long-term operating accuracy of the equipment. In this paper, an intelligent weighing system based on the Internet of things (IOT) is proposed to realize real-time data acquisition and monitoring and early warning of symmetrical weighing equipment. The main work includes the following aspects: (1) the characteristics and current situation of belt weighing system are studied, and the requirements of the intelligent weighing system and its functional modules are analyzed respectively. The relationship between each functional module is analyzed in detail, and then the overall frame of intelligent weighing system is designed. (2) the types and sources of weighing errors of electronic belt scale are analyzed. The two main error factors, temperature and tension, are analyzed in detail, and the data are collected through experiments. Furthermore, the relationship between the main error factors is analyzed. (3) the advantages and disadvantages of the traditional aiNet network model for mechanical fault diagnosis are analyzed, and then the clonal mutation algorithm and K-nearest neighbor theory are introduced. A multi-layer immune network model is designed to identify the new faults effectively through the cooperation of the self-diagnosis layer and the adaptive diagnosis layer. The genetic algorithm, the traditional aiNet network model and the improved multi-layer immune network model are tested and compared to find out the most suitable method. (4) each sub-module of the intelligent weighing system with high precision is analyzed and designed in detail. Including data acquisition and processing, fault diagnosis, system management and supervision and other functions. Finally, the intelligent weighing system with high accuracy of bulk material is realized by using B / S architecture.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TH715.1;TP311.52

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李鑫;;電力設(shè)備狀態(tài)監(jiān)測(cè)和故障診斷技術(shù)趨勢(shì)探究[J];現(xiàn)代經(jīng)濟(jì)信息;2015年21期

2 余景剛;楊澤武;;淺談物聯(lián)網(wǎng)技術(shù)在倉儲(chǔ)物流中的應(yīng)用[J];石油石化物資采購;2015年09期

3 陳羽;;皮帶秤已經(jīng)進(jìn)入4.0時(shí)代——專訪南京三埃工控股份有限公司董事長、“陣列式皮帶秤”發(fā)明者袁延強(qiáng)[J];港口科技;2015年08期

4 袁延強(qiáng);;陣列式皮帶秤的“互聯(lián)網(wǎng)+”模式[J];礦業(yè)裝備;2015年08期

5 朱亮;李東波;何非;童一飛;袁延強(qiáng);;采用改進(jìn)型DENCLUE和SVM的電子皮帶秤故障診斷[J];哈爾濱工業(yè)大學(xué)學(xué)報(bào);2015年07期

6 韓成春;;并聯(lián)傳感器系統(tǒng)壓力傳感器故障診斷系統(tǒng)設(shè)計(jì)[J];計(jì)算機(jī)測(cè)量與控制;2015年07期

7 楊建業(yè);耿建平;;基于HTML5的實(shí)時(shí)Web數(shù)據(jù)監(jiān)測(cè)系統(tǒng)[J];桂林電子科技大學(xué)學(xué)報(bào);2015年02期

8 本刊;;南京三埃陣列式皮帶秤喜獲全球首張0.2級(jí)OIML證書[J];衡器;2015年04期

9 王亞南;潘曉英;余國磊;;中小企業(yè)信息化建設(shè)ASP模式的探究[J];商;2015年10期

10 陳莉;;皮帶秤數(shù)據(jù)采集與管理系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)[J];科技風(fēng);2014年06期

，

本文編號(hào)：2370161