TY  - BOOK
AU  - Gupta, Monika (PG180550)
AU  - Karia, Nimitt (Guide)
TI  - Automating the operation and maintenance of sewers (Soft copy is also available)
U1  - MTM TH-0197 
PY  - 2020///
N1  - Table of Contents 
Abstract 7
Abbreviations 5
Acknowledgement 2
List of figures 4
List of Tables 5
Project Conception 12
1.1 Background of the study 13
1.1 Blockages & breakdowns 13
1.2 Urbanization, Infrastructure & Technology 14
1.2 Case city: Ahmedabad, Gujarat 15
1.2.1 City profile 15
1.2.2 Concerns of the Engineers 15
1.2.3 Complaints recorded in the CCRS system of the city 15
1.3 Project Description 17
1.3.1 Research Question 17
1.3.2 Research Objectives 17
1.3.3 Limitation 17
1.3.4 Study Methodology 17
DATA COLLECTION 19
2 Legislation, Program, Guidelines 20
2.1 Legislation 20
2.1.1 74th Amendment Act20
2.1.2 The Prohibition of Employment as Manual Scavengers and Their Rehabilitation Act, 2013 20
2.1.3 Gujarat Provincial Municipal Corporation Act, 1949 20
2.2 Programs 20
2.2.1 Swachh Bharat Mission 20
2.2.2 Smart City Mission 20
2.3 Service Level Agreement (SLA) 20
2.3.1Citizen’s charter 20
2.4 Service Level Benchmark (SLB) 21
2.5 Guideline 21
2.5.1 CPHEEO Manual, Ministry of Housing and Urban Affairs 21
3 Ahmedabad city diagnosis 23
3.1 Overview 23
3.2 City Administration 23
3.3 History of the sewerage system 26
3.4 Processes Involved 27
3.4.1 New Drainage Connections 27
3.4.2 Complaint Resolving Process 27
3.4.3 Inspection Process 30
3.4.4 Cleaning Process 32
3.4.5 SCADA system 33
3.4.6 Geographical Information System 33
3.5 Need of Intervention 34
Part 1: 36
4. Technology intervention to Increase sewer efficiency 36
4.1 Analysis of technology selection 37
4.1.1 Technology selection considerations 37
4.1.2 Ahmedabad sewer characteristic 37
4.1.4 Inspection Technology 37
4.1.3 Cleaning Technology 45
4.2 Recommendation 46
4.2.1 Rationale 46
4.2.2 Decision-making matrix 46
4.2.2.1 Program objective 46
4.2.2.2 System characteristics 46
4.2.2.3 Cost-benefit analysis 46
4.2.2.4 Implementation issue 47
4.2.3 Best practice47
4.2.4 Limitation 48
4.2.5 Implementation framework for ultrasonic flowmeters 48
4.2.5.1 Procurement, Installation and integration of technology 48
4.2.5.2 Human resource 49
4.2.5.3 Contract 49
4.2.5.4 Capacity Building49
Part 2: 50
5. Monitoring Service level benchmarks 50
5.1 Analysis for Data science 51
5.1.1 Rationale: 51
5.1.2 Understanding automating technology 52
Computer Vision (CV) 52
Deep Learning (DL) 53
Reinforced learning (RL) 54
Natural Language processing (NLU) 54
Robotics Process Automation (RPA) 55
5.1.3 Data Management tools 55
5.1.4 Intelligent SCADA 56
5.2 Recommendation 56
5.2.1 System Description 56
5.2.1.1 Organizational Structure of ICCC 57
5.2.3 System required for Cleaning Machinery: 59
5.2.4 Process mapping: 59
5.2.5 Maintenance module for the machinery 59
5.2.6 Capacity Building 61
5.2.7 Impact 59
Conclusion 61
Bibliography 66
Appendix 1: Complain Analysis of CCRS data 68
Appendix 2: Inspecting technology fact sheet 69
Appendix 3: Impact study of Inspection technology 71
Appendix 4: Cleaning technology fact sheet72
Appendix 5: Understanding from Tender document 73
ER  -