The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
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(2) data processing: 
In order to get the needed information we need to do some process with 
the raw data,which included: trajectory assurance, laser data processing, 
data classification, coordination setting, photo orientation, DEM making. 
(3) route design optimization: 
According to line design’s need we could optimize the route design and 
staking design process on the basis of precise orthophoto, point clouds, 
DEM and combination of 2D and 3D data. 
2.2.2characteristics 
(1) On the base of DEM, DSM, DOM and needed parameters we could 
acquire the section data automatically, quickly and efficiently. 
(2) Based on the section data and real 3D circumstance we could 
optimize staking design. Also we could analyze powerlines’ each 
parameters according staking coordination, staking section data and 
houses distribution map. 
(3) The design optimization based on precise 3D scene which was made 
through DEM, DSM and DOM concluded route, space measurement, 
avoiding of landscape, farmland and building, earthwork calculation, 
remove calculation and so on. The optimization process was quick, 
exact and intelligent. 
(4) LiDAR 3D production could perfectly connect with CAS system and 
other professional softwares to make the design of 3D staking fragment 
and basement more easy. 
Figure 3.point clouds and image production 
(5)LiDAR 3D data made powerline, circumstance, and social factors 
into one system, which integrated the powerline choosing, circumstance, 
disaster, social development and incarnated the circumstance, humanlity 
and social characteristics of powerline choosing. 
2.23 digital transfer 
The final data we gave clients were digital format which comprised 
precise terrain and staking information. The clients could input these 
data to their power grid management system to do after construction 
management which saved money for them. 
23 Application in constructed powerlines 
This usage involved powerline checking(dangerous points, distance 
between lines), asset management and professional analysis. 
23.1 powerline checking 
The most important work for powerline checking was to find the 
abnormal equipment, dangerous points and the threat to lines. Through 
LiDAR highly precise point clouds data we could check whether the 
distance between lines and building, vegetable was suitable for safety 
requirement Through LiDAR highly clear pictures we could decide the 
equipments and channels were normal or not. 
23.2 asset management 
We could make 3D models for the powerline through DOM and DEM 
which were made from LiDAR laser and photo data. From these models 
we could tell the terrains(including trees and buildings) of the lines, the 
staking sites and models. That combined with electric equipment 
parameters we could manage the powerline asset 
233 professional analysis 
Because LiDAR data were highly precise all models exactly matched 
with the real world. Combined with the temperature, humidity and wind 
speed which sent back from the inspection devices we could make kinds 
of professional analysis, such as the changes of lines when they under 
different temperature, wind speed and ice cover and trees situations, 
through power grid 3D model. These analysis gave decision support for 
lines management. 
3 THE SYSTEM FOR POWER GRID MANAGEMENT 
Focused on LiDAR technology’s trait and the demand for electric 
industry we studied the relationship between GIS technology and 
electric industry and found solutions to use GIS in electric industry. 
Those were solution to power grid project(plan, reconnaissance, design, 
construction) and solution to power grid management(operate, 
management, maintain). 
The system for power grid management was a software aimed at electric 
equipments 3D management. The data came from a new powerline or 
acquired from lines checking could be input into this system. For the 
management department they could manage all of the power grid 
through 3D visible models, such as query, location and analysis. That 
was what we called digital power grid. 
4 Examples 
Followings were examples of LiDAR in electrical optimization and 
powerline checking. 
4.1 route design optimization 
In order to take new technology into electric industry we used LiDAR 
technology to optimize the design of Luoping-Baise 500kV second 
powerline project. This project started from Luoping 500kV substation 
Yunnan province and ended at Baise substation Guangxi province. The 
total length for the recommended solution was 286.1 kilometers. 
We finished the optimization job through OnePLD system based on 
LiDAR data. Through the system we designed the route and staking. 
From total comparison the whole invest was about 7.8318 million less 
than the recommended solution. Also the optimized solution had less 
effect on the environment.