智慧水务发展与应用(英文版)
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- ISBN:9787121395949
- 装帧:简裝本
- 册数:暂无
- 重量:暂无
- 开本:16开
- 页数:296
- 出版时间:2020-09-01
- 条形码:9787121395949 ; 978-7-121-39594-9
本书特色
适读人群 :本书面向水务行业和水务产业链上下游的从业者,以及初涉该领域的研究者,有助于其快速了解水务行业概貌、瓶颈问题,以及智慧水务应用现状与发展趋势。关于智慧水务不多的英文图书,可以作为专业人员的培训教材
内容简介
智慧水务是近年来快速发展的行业,具有广阔的应用前景和市场需求。本书从水务系统发展演变出发,总结当前水务行业面临的挑战与机遇,汇总水务行业发展的瓶颈问题及潜在解决方案,分析判断水务系统智慧化升级的行业需求、政策引导、技术可行性和发展智慧水务大趋势;按照智慧供水和智慧污水两大类,系统梳理智慧水务应用现状,以及典型应用场景的原理和技术方案,对比靠前外的智慧水务发展状况,从传感器、执行器、物联网和人工智能技术等层面讨论了智慧水务领域的发展前景。
目录
Part 1?Development of Water System
Chapter 1?Current Situation and Challenges of Water System 2
1.1?Overview of water system 2
1.2?Current situation of water system 6
1.3?Challenges facing the water industry 7
Chapter 2?Comparison of Domestic and Overseas Water Development 11
2.1?Water supply in China 11
2.2?Wastewater treatment in China 15
2.3?Overseas water development 18
2.3.1?Water development in the US 18
2.3.2?Water development in the UK 20
2.3.3?Water development in Thailand 23
Chapter 3?Development Trend of Water Industry―Smart Water 26
3.1?Proposed measures for water industry development 26
3.1.1?Informatization of water affairs 26
3.1.2?Making software and hardware more intelligent 28
3.2?Overview of smart water 29
3.2.1?Introduction and advantages of smart water 29
3.2.2?Stages of smart water development 31
3.2.3?Prospect of smart water 32
3.3?Smart water related technologies 34
Part 2?Smart Water Supply System
Chapter 4?Intelligent Management Technology for Drinking Water Sources 38
4.1?Current situation of drinking water sources in China 38
4.1.1?Classification of water sources and protected areas 38
4.1.2?Water quality and quantity standards for water sources 39
4.1.3?Assessment of water source safety 42
4.2?Water source management theory and technology 46
4.2.1?Water source management theory 46
4.2.2?Current situation and countermeasures of water source management 46
4.2.3?Intelligent management technology for water sources 49
4.3?Typical design scheme for intelligent management of water sources 52
4.3.1?Design of intelligent monitoring for water sources 52
4.3.2?Intelligent scheduling design for water sources 55
Chapter 5?Intelligent Control Technology for Water Supply Treatment System 56
5.1?Water supply treatment 56
5.1.1?Water supply treatment theory 56
5.1.2?Basic process of water supply treatment 56
5.1.3?Status quo of water supply treatment 57
5.1.4?Intelligent control of water supply treatment 58
5.2?Automatic control of core process units 59
5.2.1?Automatic control of water intake pumping station 59
5.2.2?Automatic control of dosing 60
5.2.3?Automatic control of filter tank 63
5.2.4?Automatic control of chlorination 63
5.3?Typical design scheme for intelligent control of water supply treatment system 65
5.3.1?Intelligent control system 66
5.3.2?Water quality management system 67
5.3.3?Equipment management system 69
Chapter 6?Smart Operation and Maintenance Technology for Water Supply Pipe
????? Network System 70
6.1?Monitoring methods for water supply pipe network 71
6.1.1?Water quality monitoring 71
6.1.2?Water pressure monitoring 73
6.1.3?Discharge monitoring 74
6.2?Model of water supply pipe network 75
6.2.1?Hydraulic model 76
6.2.2?BP neural network 81
6.3?Intelligent operation and maintenance of water supply pipe network 84
6.3.1?Optimal scheduling 84
6.3.2?Leakage control 85
6.3.3?Safeguards for secondary water supply 87
6.3.4?Visualization technology for operation and maintenance management 90
6.4?Typical design scheme for intelligent operation and maintenance of water
supply pipe network 92
6.4.1?Monitoring system 94
6.4.2?Leakage control 95
6.4.3?Optimal scheduling 96
Chapter 7?Intelligent Service Technology at User Side 97
7.1?Intelligent monitoring and early warning services 98
7.1.1?Intelligent monitoring service 98
7.1.2?Intelligent early warning service 100
7.2?Intelligent customer service 100
7.2.1?Making customer service center intelligent 102
7.2.2?Online service platform 103
7.2.3?Intelligent business hall 103
7.3?Typical design scheme for intelligent service system at user side 104
Part 3?Smart Wastewater System
Chapter 8?Forecast of Wastewater Quality and Quantity into WWTPs 108
8.1?Demand for forecast of wastewater quality and quantity 108
8.2?Wastewater quality and quantity forecast technology 109
8.2.1?Establishment of peripheral database 110
8.2.2?Prediction of wastewater quality and quantity 114
8.3?Typical design scheme 115
8.3.1?Technology adopted in the scheme 115
8.3.2?Specific design scheme 116
Chapter 9?Intelligent Operation Technology for Wastewater Treatment Facilities 119
9.1?Status quo and demand of wastewater treatment facilities 119
9.1.1?Status quo of wastewater treatment facilities 119
9.1.2?Problems with wastewater treatment facilities 125
9.1.3?Requirements of wastewater treatment facilities 130
9.2?Intelligent monitoring system for facilities 131
9.2.1?Significance of data monitoring 131
9.2.2?Main monitoring parameters 132
9.2.3?Monitoring data application 133
9.3?Intelligent control technology and equipment for facilities 134
9.3.1?Classification of automatic control technologies 134
9.3.2?Commonly used wastewater control strategies 136
9.3.3?Common intelligent control equipment 138
9.4?Typical design scheme for upgrading wastewater treatment facilities 141
9.4.1?Architecture and design of monitoring system 141
9.4.2?Design scheme for efficient lift pumping station 150
9.4.3?Design scheme for fine aeration system 153
9.4.4?Design scheme for intelligent dosing system 156
Chapter 10?Intelligent Management Technology for Wastewater Treatment System 158
10.1?Data modeling scheme 159
10.1.1?Scheme for ANN model 159
10.1.2?Scheme for support vector machine model 160
10.1.3?Scheme for regression analysis model 161
10.2?Scheme for mechanism model 162
10.2.1?Activated sludge model 163
10.2.2?ASM-based commercial software 165
10.3?Scheme for merging of mechanism and data models 165
10.3.1?Scheme for fusion of average values 166
10.3.2?Scheme for fusion weighted average values 166
10.3.3?Scheme for fusion of conservative values 167
10.3.4?Scheme for f (x,θ) fusion 168
10.4?Scheme for plan library 170
Chapter 11?Cloud Management Technology for WWTPs Group 173
11.1?Requirements for WWTPs group cloud management 174
11.1.1?Development status and competition pattern of wastewater treatment
industry 175
11.1.2?Necessity of WWTPs group cloud management 178
11.1.3?Feasibility of WWTPs group cloud management 179
11.1.4?Value of applying WWTPs group cloud management 181
11.2?Principle and technology of WWTPs group cloud management 182
11.2.1?Basic principles of WWTPs group cloud management 182
11.2.2?Objectives of WWTPs group cloud management 183
11.2.3?WWTPs group cloud management technology and solution 185
11.2.4?Functions and description of WWTPs group cloud management 187
11.3?Design scheme for WWTPs group cloud management platform 188
11.3.1?Design principles of WWTPs group cloud management platform 188
11.3.2?Remote visual management of plant group site 190
11.3.3?Concentrated management and intelligent maintenance of equipment 191
11.3.4?Real-time monitoring of plant group production safety 192
11.3.5?Economic operation of plant group equipment 194
Part 4?Application Status and Prospect of Smart Water
Chapter 12?Application of Smart Water Supply System 198
12.1?Intelligent and integrated water source management system 199
12.1.1?Intelligent management system of water source well 199
12.1.2?Intelligent management system of water intake pumping station 202
12.2?Intelligent management system of waterworks 204
12.2.1?System application 204
12.2.2?System composition 205
12.2.3?System functions 206
12.2.4?Equipment configuration 207
12.3?Intelligent management system of water supply pipe network 208
12.3.1?Intelligent management system of secondary water supply
?pump house 208
12.3.2?Water supply pipe network monitoring system 211
12.3.3?Intelligent management system for leakage/loss of water supply
?pipe network 213
12.3.4?Intelligent management system of fire hydrant and water cock 216
12.4?User-end intelligent and integrated management system 220
12.4.1?Wireless automatic meter reading system 220
12.4.2?Large user meter reading/urban water supply pipe network DMA
?measurement management system 222
Chapter 13?Application of Smart Wastewater System 227
13.1?Intelligent aeration control system 228
13.1.1?Aeration volume control system 228
13.1.2?Fine aeration control technology and operation decision support system 233
13.2?Intelligent and integrated management system 235
13.2.1?Wastewater service application system 235
13.2.2?Plant group cloud platform management system 237
13.3?Smart wastewater system in rural areas 240
13.3.1?Rural “smart water system” 240
13.3.2?Township and town sewage collection and treatment system 242
Chapter 14?Development Prospect of Smart Water 243
14.1?Development of water system with Chinese characteristics 243
14.1.1?Adaptation to local conditions 243
14.1.2?Strengthening independent innovation 244
14.1.3?Strengthening government regulation 245
14.1.4?Formulating emergency procedures 246
14.2?Combination with new technologies and theories 247
14.2.1?Artificial intelligence technology 247
14.2.2?Big Data analysis technology 248
14.2.3?Wastewater reclamation technology 249
14.2.4?Trenchless pipe repair technology 250
14.2.5?Water system security protection technology 251
14.2.6?Blockchain technology 254
14.2.7?5G technology 254
14.3?Prospect of smart water 255
14.3.1?Sensing module 256
14.3.2?Artificial intelligence module 260
14.3.3?Platform module 265
References 267
术语表(Glossary) 274
作者简介
申渝,男,1981年生,博士,研究员,重庆工商大学、中国科学院大学研究生院硕士生导师(管理科学与工程、环境科学与工程),环境保护部制药废水治理与资源化创新产业联盟副秘书长(2014年),重庆市城市污水控制项目专家组成员(2015年)。主要研究领域为环境大数据管理、环境装备设计与运行管理等。近年来,主持国家科技部、重庆市科技局等省部级及以上项目/课题9项,累计科研经费2000多万元,发表SCI论文38篇,获得授权专利6件。_
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