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Consumers
Energy, MI
(Field Inventory)
The Consumers Energy (CE) project involved an annual budget to inventory
parts of their service territory. It was a three-year project performed
by FDSI in townships not previously inventoried by CE. FDSI inventoried
135,000 poles over 27 months. Landbase was provided to FDSI in MicroStation
format and loaded directly into our field software. The poles were located
on the landbase using relative positioning and measuring techniques.
The inventory involved both the primary and secondary distribution systems
from the substation fence to the meter. FDSI field technicians collected
all the information associated with the network, including conductor
phasing and wire material/size. Some information was captured from CE
source materials and included with the inventoried information. The
data was captured both graphically and in an Access database. The MicroStation
files created in the field were sent directly to CE for use in their
MicroStation-based mapping system. All the project deliveries have met
the 98 % accuracy requirement.
Electric
Company
(Transformer to Meter Relationship and Data Conversion Audit)
FDSI inventoried approximately 360,000 meters. The project involved
a transformer to meter tie and audit of existing facilities for the
utility's rural districts. Land and facilities data were provided to
FDSI in a Smallworld export format that FDSI translated into our field
software format. The client also provided the CIS database for each
district as an ASCII dump. Field Technicians, equipped with pen-based
computers, performed a complete trace of each secondary/service to determine
the source of feed for each point of delivery or meter(s). The meter
number or address was entered into the field collection software and
a search of the CIS database was performed to obtain the premise record.
The premise record and service entry points were linked. Based on field
conditions, Field Technicians also updated portions of the existing
facilities data. FDSI Field Technicians remove facilities that no longer
existed in the field and identified connectivity problems. Transformers
were added or deleted based on field conditions. Each type of data problem
encountered was coded with a pre-defined flag. Flags also included situations
such as locked gates, bad dogs, no access, no CIS record, etc. The data
was exported from the field software and delivered in a predefined ASCII
format for loading into the clients Smallworld GIS. The accuracy of
the data captured met the specified delivery accuracy requirements.
Northern
Indiana Public Service Company, IN
(Field Inventory)
The NIPSCo project involved a complete inventory of their entire service
territory. The project was performed on a district by district basis.
Landbase was provided to FDSI in AutoCAD format. FDSI migrated the landbase
into our field computer software format for use in the field. The poles
were located on the landbase using relative positioning techniques.
In addition to pole locations, circuit information was captured from
the substation fence to the transformer including phasing and wire information.
Specialized field software tools were used to collect all the features
and their associated attributes in the field. The data was then exported
from the field software and delivered in a predefined ASCII format for
loading into NIPSCo's AutoCAD based mapping system. The project included
375,000 distribution poles and 13,373 transmission poles. The 98 % accuracy
requirement was exceeded.
West
Texas Utilities, TX
(Transformer to Meter Tie Inventory)
FDSI performed this inventory by tracing each secondary/service to determine
each point of delivery or meter(s) fed by each transformer. Using the
client provided CIS records we sorted the data into logical field collection
books based on geographic area. The books were provided to the field
crews who linked the meter number, transformer number and CIS record.
This information was entered into an Access database containing all
of the CIS Records and delivered to WTU in digital form. The project
involved 83,838 meters. The accuracy requirement for the project was
met.
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