We have compiled our 25 year of experience into our infraSOFT asset management platform. First and foremost, it greatly facilitates our consulting projects. It is web-based and built outside of GIS while using GIS data and having an embedded map. Therefore, there is no need to be GIS-literate. All interested parties can be involved; consult results; run a new planning scenario; track progress on data cleaning or analysis. The platform has 4 modules, CLEAN, STATS, PREDICT and PLAN.
One goal for the development of infraSOFT was to compile all the experience we have gathered over the years and streamline the delivery of specific services, in other words do more for less. While pricing depends on the size of the system and the number of users, it is not proportional to the mileage of pipes since the analytical steps are automated and are not affected by the quantity of data (actually, the more, the better!)
At a time when in-person team work is limited, infraSOFT allows for a smooth flow of data, and remote collaboration between all stakeholders. Planning projects, and training, can be completed entirely remotely.
Let's face it, Asset Management is about data. The better the data, the more specific, accurate, optimized and defensible your plan will be.
We also learned through our many consulting projects that data cleaning can be very tedious.
The CLEAN module includes various innovative and powerful proprietary approaches, including Machine Learning-powered infraSOFT.ml, that identify missing and incoherent values as well as structural issues.
The CLEAN module goes beyond producing new or better values. It is packed with practical features that acknowledge the fact that data cleaning is an ongoing process requiring contributions from a variety of stakeholders and supervision. You know who edits what, how and when; you can see both the initial and new values, which allows you to understand data issues and track the cleaning process.
We believe that running descriptive statistics is an indispensable step that must come prior to conducting advanced analyses. Statistical results allow the analyst to better assess data quality, understand the system and program of R&R, define the next analytical steps, interpret forecasting results and planning recommendations, and monitor changes (in data quality, R&R and system performance).
The STATS module automatically generates what we know to be the essential results to achieve the above goals. More can easily be generated as needed. They come in the form of configurable charts and tables as well as in a dashboard. The platform is dynamic which means that all results get updated when the data does.
The PREDICT and Machine Learning, infraSOFT.ml, modules generate the likelihood of failure of each pipe for each year in the future; it can be used to prioritize inspection or rehabilitation projects, generate aging curves, and draw the risk-based Resulting Useful Lives.
This is all done using physical data (pipes, breaks, pressure, etc.) as well as environmental data (traffic, soil, groundwater, landfill, zoning, etc.) analyzed in advanced statistical and Machine Learning models.
The PLAN module makes use of the output results from PREDICT and allows generating multiple scenarios of rehabilitation (which pipes to rehabilitate and when).
It is the culmination of all the hard work that took place until then. While many options exist to generate those plans, they are as good and defensible as the data that fuel them.
Output results include curves that track the break rate, Business Risk Exposure, replacement rate, and cost which are compared until the optimal plan is selected.
What do we mean with optimal plan?
Doing more with less!
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