IEEE 1808 2011
$39.00
IEEE Guide for Collecting and Managing Transmission Line Inspection and Maintenance Data
Published By | Publication Date | Number of Pages |
IEEE | 2011 | 50 |
New IEEE 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. The guide provides a high level overview of key principles and considerations learned through experience that will help ensure common pitfalls are avoided and enhance the usability of systems. It is not intended to provide an exhaustive discussion of the many details and specifics that must be accounted for when designing and developing a system for an individual utility’s application and needs.
PDF Catalog
PDF Pages | PDF Title |
---|---|
1 | IEEE Std 1808™-2011 Front cover |
3 | Title page |
6 | Introduction |
7 | Notice to users Laws and regulations Copyrights Updating of IEEE documents Errata Interpretations |
8 | Patents Participants |
11 | Contents |
13 | Important notice 1. Overview 1.1 Scope 1.2 Purpose |
14 | 1.3 General 1.4 Application 1.5 Contents and organization |
15 | 2. Drivers for developing a system for collecting and managing inspection and maintenance data 2.1 Introduction |
17 | 3. Starting to design a data management system 3.1 General 3.2 Assemble a team |
18 | 3.3 Determine the drivers 3.4 Determine the system requirements 3.5 Assess existing systems and information |
19 | 3.6 Identify necessary resources 4. Data requirements 4.1 General 4.2 Control center data |
20 | 4.3 Transmission network data |
22 | 4.4 Maintenance/process data 4.5 Land-base data |
23 | 5. Data collection and management tools versus data management systems 5.1 General |
24 | 5.2 Enterprise-wide data sharing 5.3 Data synchronization |
25 | 5.4 Static versus real-time data update 5.5 Enterprise work management systems 5.6 System integration |
26 | 6. Role of GIS 6.1 General 6.2 Enterprise data store 6.3 Mapping |
27 | 6.4 Spatial analysis 6.5 Routing/navigation 6.6 Facility identification/location 6.7 Identification of known conditions and maintenance history 6.8 Identification of access restrictions |
28 | 6.9 Siting of new facilities 6.10 Meeting regulatory and accountability requirements 6.11 GIS integration |
29 | 7. Data collection methods 7.1 General |
32 | 8. Matching data collection capabilities with various types of inspections 8.1 General 8.2 Types of inspections |
35 | 9. Sample data models 9.1 General 9.2 Simplistic approach |
36 | 9.3 Additional information with minimal complexity |
37 | 9.4 Introducing related tables for data standardization and validation |
39 | 9.5 Determining problem lines, structures, components |
40 | 9.6 Prioritizing maintenance or enabling assessment of program effectiveness |
41 | 9.7 Studying effects of environmental variables 10. Optimizing data quality and usability 10.1 General 10.2 Prepopulated information |
42 | 10.3 Structured data entry 10.4 Data validation checks |
43 | 10.5 GIS/GPS functionality 10.6 Voice recognition 10.7 Image acquisition and use |
44 | 10.8 Specialized assessment applications 11. Data collection and communication hardware 11.1 General |
45 | 11.2 Types of electronic data collection devices |
48 | 11.3 Communications |
49 | 12. Reporting functionality |
50 | 13. Conclusion |