本文選題：船舶制造業(yè) + STM32��； 參考：《集美大學(xué)》2017年碩士論文

【摘要】：船舶制造業(yè)在我國(guó)工業(yè)體系中,占住非常重要的地位。但是,船舶制造業(yè)屬于高能耗產(chǎn)業(yè),能耗成本占比高達(dá)2%~3%,在能源費(fèi)用逐年上漲,能源日益緊張的背景下,控制能源消耗是提高船舶制造業(yè)競(jìng)爭(zhēng)力的主要手段。目前我國(guó)船舶制造業(yè)大都采用手工抄表,粗狂方式管理,能耗數(shù)據(jù)誤差大,時(shí)效性差,并且船舶制造業(yè)施工現(xiàn)場(chǎng)用電混亂,無(wú)法掌握能耗去向。論文以船舶制造業(yè)為對(duì)象,采用物聯(lián)網(wǎng)技術(shù),云計(jì)算技術(shù)和大數(shù)據(jù)挖掘技術(shù),實(shí)現(xiàn)精準(zhǔn)、精細(xì)、實(shí)時(shí)在線采集能耗數(shù)據(jù),構(gòu)建了船舶制造業(yè)能耗管理服務(wù)平臺(tái),對(duì)能耗數(shù)據(jù)進(jìn)行分析和統(tǒng)計(jì),制定能耗標(biāo)準(zhǔn),實(shí)時(shí)監(jiān)管能源消耗,達(dá)到節(jié)能減排效果;論文還針對(duì)船舶制造業(yè)施工現(xiàn)場(chǎng)用能散亂設(shè)計(jì)了智能配電樁系統(tǒng)。本文主要研究?jī)?nèi)容包括以下幾個(gè)方面:首先,分析了船舶制造業(yè)能耗管理存在的問題,并重點(diǎn)分析了船舶制造業(yè)施工現(xiàn)場(chǎng)能耗浪費(fèi)嚴(yán)重的原因,為能耗數(shù)據(jù)采集提供理論支撐。結(jié)合物聯(lián)網(wǎng)技術(shù),確定船舶制造業(yè)能耗管理服務(wù)平臺(tái)的架構(gòu)。論文利用ARM Cortex-M4內(nèi)核的STM32微處理器作為船舶制造業(yè)智能配電樁系統(tǒng)的主控器,開發(fā)各個(gè)硬件模塊驅(qū)動(dòng)程序和射頻識(shí)別、數(shù)據(jù)信息采集、數(shù)據(jù)信息無(wú)線傳輸以及存儲(chǔ)程序。論文以IntellJ IEDA 14.0.3平臺(tái)為開發(fā)環(huán)境,設(shè)計(jì)BS架構(gòu)下的船舶制造業(yè)能耗管理服務(wù)平臺(tái),實(shí)現(xiàn)了船舶制造業(yè)能耗查詢、統(tǒng)計(jì)和分析等管理功能。論文根據(jù)船舶制造業(yè)能耗特點(diǎn),采用小波神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)方法對(duì)能耗進(jìn)行理論分析,在MATLAB中實(shí)現(xiàn)建模與能耗數(shù)據(jù)仿真。本文設(shè)計(jì)的船舶制造業(yè)智能配電樁系統(tǒng)可實(shí)現(xiàn)與船舶制造業(yè)能耗管理服務(wù)平臺(tái)的信息交互,便于管理者清晰的掌握施工現(xiàn)場(chǎng)能耗細(xì)節(jié),杜絕大面積高能耗設(shè)備無(wú)作業(yè)運(yùn)行的情況。系統(tǒng)可以定時(shí)、定點(diǎn)的采集各個(gè)支路以及高能耗設(shè)備的能耗數(shù)據(jù),保證數(shù)據(jù)的準(zhǔn)確性和及時(shí)性,在一定程度上可以彌補(bǔ)傳統(tǒng)管理上的不足,方便管理者統(tǒng)計(jì)能耗成本,極大提高工作效率。同時(shí)將大數(shù)據(jù)挖掘技術(shù)應(yīng)用到船舶制造業(yè)能耗數(shù)據(jù)分析中可以為船舶制造業(yè)制定節(jié)能方案提供準(zhǔn)確、可靠的數(shù)據(jù)支持,提高船舶制造業(yè)的綜合效益。
[Abstract]:Shipbuilding industry occupies a very important position in China's industrial system. However, shipbuilding industry belongs to high energy consumption industry, the proportion of energy consumption is as high as 2%. Under the background of energy cost increasing year by year, energy consumption control is the main means to improve the competitiveness of shipbuilding industry. At present, the ship manufacturing industry in China mostly adopts manual meter reading, rough management, large energy consumption data error, poor timeliness, and shipbuilding construction site power chaos, unable to grasp the direction of energy consumption. This paper takes the shipbuilding industry as the object, adopts the technology of Internet of things, cloud computing and big data mining technology, realizes accurate, fine, real-time on-line energy consumption data collection, and constructs the energy consumption management service platform of the shipbuilding industry. Analysis and statistics of energy consumption data, the formulation of energy consumption standards, real-time monitoring of energy consumption to achieve energy conservation and emission reduction effect; the paper also designed an intelligent distribution pile system for shipbuilding construction site energy scattered. The main contents of this paper include the following aspects: firstly, the problems of energy consumption management in shipbuilding industry are analyzed, and the causes of serious energy waste in shipbuilding construction site are analyzed, which provides theoretical support for energy consumption data collection. Combined with Internet of things technology, the structure of energy consumption management service platform in shipbuilding industry is determined. In this paper, the STM32 microprocessor of arm Cortex-M4 core is used as the main controller of the intelligent distribution pile system in the shipbuilding industry, and various hardware module drivers and radio frequency identification (RFID), data information collection, wireless data transmission and storage programs are developed. Based on the platform of tellJ IEDA 14.0.3, this paper designs a service platform for energy consumption management of shipbuilding industry based on BS, and realizes the management functions of energy consumption query, statistics and analysis of shipbuilding industry. According to the characteristics of energy consumption in shipbuilding industry, wavelet neural network prediction method is used to analyze the energy consumption theoretically, and the modeling and simulation of energy consumption data are realized in MATLAB. The intelligent distribution pile system designed in this paper can realize the information interaction with the energy consumption management service platform of the shipbuilding industry, and it is convenient for the manager to grasp the details of the energy consumption in the construction site clearly. Put an end to large areas of high energy consumption equipment without the operation of the situation. The system can collect energy consumption data of each branch and high energy consumption equipment at fixed time and fixed point to ensure the accuracy and timeliness of the data. To some extent, the system can make up the shortcomings of traditional management and facilitate managers to count the energy consumption cost. Greatly improve working efficiency. At the same time, the application of big data mining technology to the energy consumption data analysis of shipbuilding industry can provide accurate and reliable data support for the establishment of energy-saving scheme for shipbuilding industry, and improve the comprehensive benefits of shipbuilding industry.
【學(xué)位授予單位】：集美大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP311.13

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