IEEE 1808-2024
$49.83
IEEE Guide for Collecting and Managing Transmission Line Inspection and Maintenance Data (Approved Draft)
Published By | Publication Date | Number of Pages |
IEEE | 2024 | 69 |
Revision Standard – Active. Reference information to assist electric utilities and their contractors with the development of computer-based means for collecting and managing transmission line inspection and maintenance data and associated asset information is provided. A high-level overview is provided in this guide for key principles and considerations learned through experience that help ensure common pitfalls are avoided and enhance the usability of systems and collected data. It is not intended to provide an exhaustive discussion of the many details and specifics accounted for when designing and developing a system including data requirements for an individual utility’s application and needs.
PDF Catalog
PDF Pages | PDF Title |
---|---|
1 | IEEE Std 1808-2024 Front cover |
2 | Title page |
4 | Important Notices and Disclaimers Concerning IEEE Standards Documents |
8 | Participants |
10 | Introduction Acknowledgments |
11 | Contents |
13 | 1. Overview 1.1 Scope 1.2 Purpose |
14 | 1.3 Word usage 1.4 General 1.5 Application 1.6 Contents and organization |
15 | 1.7 Data management to support risk-based inspection and maintenance decision making |
17 | 2. Drivers for developing a system for collecting and managing inspection and maintenance data 2.1 Introduction |
18 | 3. Starting to design a data management system 3.1 General 3.2 Assemble a team |
19 | 3.3 Determine the drivers 3.4 Determine the system requirements |
20 | 3.5 Assess existing systems and information 3.6 Identify necessary resources 4. Data requirements 4.1 General |
21 | 4.2 Control center data 4.3 Transmission network data |
23 | 4.4 Maintenance/process data |
24 | 4.5 Land-base data |
25 | 5. Data management systems and management tools for data collection 5.1 General 5.2 Enterprise-wide data sharing 5.3 Data synchronization |
26 | 5.4 Static and real-time data update 5.5 Enterprise work management systems |
27 | 5.6 System integration |
28 | 6. Role of Geographic Information Systems 6.1 General 6.2 Enterprise data store 6.3 Mapping 6.4 Spatial analysis 6.5 Routing/navigation |
29 | 6.6 Asset identification/location 6.7 Identification of known conditions and maintenance history 6.8 Identification of access restrictions 6.9 Siting of new facilities 6.10 Meeting regulatory and accountability requirements |
30 | 6.11 GIS integration |
31 | 7. Data collection methods 7.1 General |
33 | 8. Matching data collection capabilities with various types of inspections 8.1 General |
34 | 8.2 Types of inspection methods |
38 | 9. Sample data models 9.1 General 9.2 Simplistic approach |
39 | 9.3 Additional information with minimal complexity 9.4 Introducing related tables for data standardization and validation |
41 | 9.5 Determining problem lines, structures, components |
42 | 9.6 Prioritizing maintenance or enabling assessment of program effectiveness |
43 | 9.7 Studying effects of environmental variables 10. Optimizing data quality and usability 10.1 General |
44 | 10.2 Prepopulated information 10.3 Structured data entry 10.4 Data validation checks |
45 | 10.5 GIS/GNSS functionality 10.6 Voice recognition |
46 | 10.7 Image acquisition and use 10.8 Input from measurement devices and assessment applications |
47 | 11. Applying advances in data science 11.1 General |
48 | 11.2 Advanced analytics |
51 | 11.3 Enhanced reporting |
52 | 11.4 Advantages of using data science advances |
53 | 11.5 Limitations in using data science advances 12. Data collection and communication hardware 12.1 General |
54 | 12.2 Types of electronic data collection devices |
57 | 12.3 Communications |
58 | 13. Reporting functionality |
59 | 14. Conclusion |
60 | Annex A (informative) Risks, costs/benefits, and control by clause |
68 | Annex B (informative) Bibliography |