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釀造系統(tǒng)分析與優(yōu)化

出版社:化學(xué)工業(yè)出版社出版時(shí)間:2020-07-01
開本: 24cm 頁(yè)數(shù): 167頁(yè)
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釀造系統(tǒng)分析與優(yōu)化 版權(quán)信息

釀造系統(tǒng)分析與優(yōu)化 本書特色

適讀人群 :本書可供食品工程、機(jī)電、工業(yè)技術(shù)等行業(yè)的科學(xué)研究與技術(shù)開發(fā)人員參考,也可供相關(guān)專業(yè)大專院校師生閱讀。1.本書以全英文的形式,詳細(xì)介紹了釀造工藝及過(guò)程控制的基本知識(shí)及新成果;2.引進(jìn)德國(guó)先進(jìn)的、自動(dòng)化的釀酒控制技術(shù),初步建立基于LabVIEW平臺(tái)的啤酒釀造數(shù)字化工廠的模型,對(duì)國(guó)內(nèi)的釀酒廠技術(shù)人員、管理人員具有參考借鑒價(jià)值,有助于促進(jìn)我國(guó)傳統(tǒng)釀造行業(yè)設(shè)備升級(jí)改造。

釀造系統(tǒng)分析與優(yōu)化 內(nèi)容簡(jiǎn)介

本書以德國(guó)啤酒釀造過(guò)程為背景,內(nèi)容包括啤酒釀造系統(tǒng)分析、LabVIEW與OPC協(xié)議、過(guò)程控制理論、釀造過(guò)程溫度控制等內(nèi)容,初步建立基于LabVIEW平臺(tái)的啤酒釀造數(shù)字化工廠的模型,結(jié)合智能傳感網(wǎng)絡(luò)對(duì)整個(gè)生產(chǎn)過(guò)程進(jìn)行仿真、評(píng)估、優(yōu)化和智能控制。 本書可供食品工程、機(jī)電、工業(yè)技術(shù)等行業(yè)的科學(xué)研究與技術(shù)開發(fā)人員參考,也可供相關(guān)專業(yè)大專院校師生閱讀。

釀造系統(tǒng)分析與優(yōu)化 目錄

1 Introduction and objective 1

2 General explanation of a brewing process 4
2.1 Ingredients 4
2.1.1 Water 4
2.1.2 Malt 5
2.1.3 Hops 5
2.1.4 Yeast 6
2.2 Work steps for the production of beer 6
2.2.1 Grinding of the malt 7
2.2.2 Mashing 7
2.2.3 Lautering 7
2.2.4 Cooking and addition of hops 8
2.2.5 Hot break separation 8
2.2.6 Cooling of the wort 9
2.2.7 Pitching yeast 9
2.2.8 Fermentation 9
2.2.9 Secondary fermentation and storing 9

3 Description of the brewing plant 11
3.1 Controlling and monitoring of the plant 12
3.2 Four-tank system for the production of wort 13
3.2.1 Mash tank 14
3.2.2 Lauter tank 16
3.2.3 Boiling pot 17
3.2.4 Whirlpool 18
3.3 Fermentation and storage 20
3.3.1 Plate heat exchanger, yeast container and ice water tank 20
3.3.2 Fermentation and storage tanks 21
3.4 Additional components of the brewing plant 22
3.4.1 Cleaning of the fermentation tanks 22
3.4.2 Grinding of the malt 23
3.4.3 Storage of the malt and the hops 24
3.4.4 Production of steam 24

4 Collection of data from the mash tank 26
4.1 Geometrical dimensions 26
4.2 Materials and wall thicknesses 30
4.3 Stirring unit 30
4.4 Heat transfer from the steam to the brewing water 31
4.4.1 Experiments for the distinction of the energy supply by observation of the vapor pressure 32
4.4.2 Calculation of USB 33
4.5 Total heat transmission coeff?icient 35
4.5.1 Experiments for the measurement of the wall temperatures 37
4.5.2 Calculation of ho 39
4.5.3 Calculation of hi 42
4.5.4 Calculation of the total heat transmission coeff?icient 46
4.6 Volume flow of tap water 47
4.7 Summary of the values for the mash tank 48

5 Creation of a flow sheet of the brewing plant 49
5.1 Existing f?low sheet 50
5.2 Newly created f?low sheet 53
5.2.1 Malt milling 54
5.2.2 Steam production 54
5.2.3 Production of wort 58
5.2.4 Cooling of the wort and addition of yeast 59
5.2.5 Cooling water supply 60
5.2.6 Fermentation and storage 60

6 Description of the brewing process 62
6.1 Operation of the plant 62
6.2 Cleaning before the brewing process 65
6.3 Milling 68
6.4 Mashing 70
6.5 Lautering 73
6.6 Cooking 74
6.7 Hot break separation 76
6.8 Cooling 76
6.9 Pitching yeast 77
6.10 Fermentation 79
6.11 Secondary fermentation and storing the beer 80
6.12 Cleaning after the brewing process 81

7 Control of the brewing plant 84
7.1 Fundamentals of programmable logic controllers 84
7.2 S7-200 SMART 85
7.2.1 CPU S7-200 SMART SR40/ST60 85
7.2.2 EM AM06 86
7.2.3 EM AR04/AR02 86
7.3 Switch cabinet with basic functions 87
7.4 Switch cabinet for temperature control 89

8 Basics of network technology 92
8.1 Industrial Ethernet 92
8.2 OPC Foundation 94
8.3 OPC Technology 95
8.3.1 OPC Classic 95
8.3.2 OPC Unif?ied Architecture 97

9 Implementation of a LabVIEW program 99
9.1 Program interface 99
9.2 OPC Server software 100
9.2.1 Shared Variable Engine 100
9.2.2 DSC module 101
9.2.3 NI OPC Server 101
9.2.4 OPC tags 102

10 LabVIEW program—brewing plant control 106
10.1 Graphical user interface 106
10.2 Advanced Features 108
10.2.1 Dual control of the system via LabVIEW and control panel 109
10.2.2 Data Dashboard 111

11 Current temperature control system 113
11.1 Existing controller quality 113
11.2 Modif?ication of control valves and temperature sensor 115

12 Simulation of the mash tank’s temperature control 117
12.1 Controller design 117
12.1.1 Identif?ication of parameters 117
12.1.2 Basics of PID controlling 120
12.1.3 Fundamentals of Fuzzy control 123
12.1.4 PID controller design 128
12.1.5 Fuzzy controller design 130
12.2 Build-up of the simulation in LabVIEW 133
12.2.1 Representation of the controlled system 133
12.2.2 Program structure and functionality 134
12.2.3 Optimization of the simulated controllers 142

13 Implementation of the control system 146
13.1 Operation of the brewing plant 146
13.2 Experiments on the real system 147
13.2.1 Experiments with PI controller 148
13.2.2 Experiments with fuzzy controller 148
13.3 Comparison between simulation and reality 152
13.4 Further investigations 152

References 155

Appendix A 157

Appendix B 159

Figures 160

Tables 167
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釀造系統(tǒng)分析與優(yōu)化 作者簡(jiǎn)介

申文靜,深圳技術(shù)大學(xué)中德智能制造學(xué)院教師 ,香港城市大學(xué)博士畢業(yè),曾獲香港政府全額獎(jiǎng)學(xué)金,2018年獲深圳市海外高層次C類人才;研究方向?yàn)槲锢斫:蛥?shù)優(yōu)化,工業(yè)系統(tǒng)參數(shù)智能調(diào)節(jié)應(yīng)用; 主持并參與了多項(xiàng)國(guó)家省級(jí)自然科學(xué)基金和企業(yè)橫向課題,研究機(jī)電一體化系統(tǒng)集成和設(shè)備改造;發(fā)表國(guó)內(nèi)外期刊論文十余篇,申報(bào)國(guó)家發(fā)明專利八項(xiàng),國(guó)際PCT專利兩項(xiàng)。 與德國(guó)雷根斯堡應(yīng)用技術(shù)大學(xué)合作,負(fù)責(zé)籌建“中德啤酒釀造過(guò)程控制實(shí)驗(yàn)室”,主持教育部協(xié)同育人項(xiàng)目“啤酒釀造過(guò)程控制數(shù)字化工廠”,教研項(xiàng)目“中德過(guò)程控制聯(lián)合實(shí)驗(yàn)室教學(xué)探索與研究”; 已在實(shí)驗(yàn)室指導(dǎo)多名德國(guó)留學(xué)生進(jìn)行釀造設(shè)備自動(dòng)化改造。計(jì)劃初步建立基于LabVIEW平臺(tái)的啤酒釀造數(shù)字化工廠的模型,結(jié)合智能傳感網(wǎng)絡(luò)對(duì)整個(gè)生產(chǎn)過(guò)程進(jìn)行仿真、評(píng)估、優(yōu)化和智能控制。

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