A more efficient system for determining the condition of buildings has been developed by RMIT in partnership with six local councils, the Municipal Association of Victoria and Integrate Australia.
Central Asset Management System (CAMS) - Buildings was an outcome of an Australian Research Council Linkage scheme project. It reduces the time organisations spend inspecting the condition of buildings and provides a more thorough assessment, which reduces the frequency of inspections.
The system is based on stochastic deterioration models developed for 700 components of a building using discrete condition data validated and calibrated. It uses sustainability indicators sourced from over 100 local government agencies.
The system incorporates a life cycle costing module including building maintenance, refurbishment, energy and other operating costs. Scenario based analysis allows the asset owner to generate cost and risk forecasts for the building portfolio using the discrete condition data gathered from inspections.
The CAMS iPad app has been developed to improve the accuracy and efficiency of condition data collection. The iPad app can be used in conjunction with the CAMS - Buildings or as a stand-alone application.
The CAMS iPad app will reduce the inspection time with the ability to display history, GIS integration, Google Maps navigation, building plan uploading, and live synchronisation. It can customise inspection fields to incorporate parameters such as HAZMAT and photo capture.
The CAMS - Buildings is hosted in the cloud following using state-of-the-art technologies and is used by City of Melbourne, City of Kingston, City of Hume, and RMIT Property Services. A number of other local councils are trialling the software.
CAMS complies with the asset management strategies advocated by the Institution of Public Works Engineers Australia (IPWEA) and the Tertiary Education Facilities Management Association (TEFMA).
CAMS - buildings enables building portfolio managers to take a proactive approach to building asset management.
- The forecasting capability enables long term planning, reduces down time of assets and increases reliability
- CAMS iPad app ensures accurate data by live validation with previous records. Inspectors have the option of capturing any maintenance needs or hazardous materials including photographs
- Once a full data set is collected and forecasting and analysis is completed, the next inspection only needs to cover critical stage components
- Value proposition - asset owners can reduce the frequency of inspections and use forecasting to plan maintenance. This cost saving can offer more than a 1:3 return on investment
- CAMS team will guide the building inspectors to use the iPad app and assist the asset managers in first time uploading and forecasting with the data.
- The annual licence cost for CAMS - Buildings is $7,500.
- The annual licence cost for CAMS iPad app is $5,000.
- Depending on the portfolio of assets and the level of support required, a variable cost may be negotiated.
Current major clients
- City of Melbourne
- Currently setting the asset management strategy for all of their assets with CAMS as the benchmark.
- RMIT Property services
- In 2015, CAMS - mobile was used to collect data on all RMIT buildings in the City and Bundoora campuses.
- In 2016, RMIT Vietnam inspections were undertaken using CAMS iPad app. On this occasion inspections were undertaken by Meinhardts consulting company under the guidance of RMIT CAMS team.
- City of Kingston
- In 2016, Kingston inspections are undertaken by third party inspectors using the CAMS iPad app.
RMIT is continuing research on development of a storm water pipe management system and a bridge management system along similar principles.
CAMS - Buildings future releases will have:
- a module for forecasting energy performance and sustainable decision making
- a module for energy retrofitting
- a module for BIM integration for new assets
- dynamic Risk integration
- bar code reading capability during inspections'
- RFID sensors for inspections
Contact Professor Sujeeva Setunge.