Roadside Asset Management Technology

All of Slasherteck's machinery are equipped with the latest technology to maximise data collection and increase efficiencies in time-keeping and administration.  Slasherteck operations and Asset Management System (SOAMS) has been specifically designed to be used with Slasherteck equipment to use this equipment to provide valuable data and systems to both the  operators and the end customer.

 

 

Mapping of Existing Assets

When the system is run in “Set-up” mode, each roadside management post that is slashed is recorded, coded and labeled on a map.  A photograph of the asset is taken at the time of slashing that is stored for reference should it need to be specifically identified.


 

Asset Identification and Valuation

Once data is entered, SOAMS provides a data analysis option where each asset photo is analysed for type, condition and valuation at the time of entry.  Any asset needing attention is flagged and given a liability risk rating.


 

Real-time Tracking of Unit


This enables real-time feedback of the progress of the roadside maintenance.  The GPS tracking system in the tablet allows councils and supervisors to see exactly where the Slasherteck unit is on a map and the log-in tells them who is operating the unit.


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Photographic Summary of Each Job


Both the front and rear mounted cameras are set up to take time incremented photographs showing each maintenance run’s works as executed (WAE) and work in progress (WIP).  A time-lapse video of these photos gives supervisors an overview of each job, data for quality control and efficiency reviews as well as contract compliance data.


 

Accumulative Data


The system creates a log for each run that provides useful information that can be used for future statistical analysis and budgeting forecasts.


 

Real-time Incident Reporting


Any incidents encountered in the maintenance run are recorded and flagged for council or a supervisor’s attention immediately reducing the risk of escalation of any incidents.  


 

Collaborative Data


Data from multiple councils can be collected and compared.  This encourages an increase in efficiency, best practice, budget comparison and provide comparative statistics.