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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
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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
IEEE 1808-2024
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