8 minute read
Since Info360 Asset launched a beta version in July, and its general availability at Autodesk University at the beginning of October, the Innovyze team has continued improving the product based on early customer feedback. Info360 Asset allows water utilities, local councils, their contractors, and consultants to better leverage CCTV inspections to assess conditions and risk for wastewater assets. These most recent enhancements improve business risk exposure calculations and enhance both risk and condition reporting.
Improved Risk Configuration
When risk planning, risk modelers calculate the likelihood (LoF) and consequence of failure (CoF) to better determine which assets require immediate attention. With this information, they can more optimally prioritize renewal and replacement. Info360 Asset provides complete control over the configurations of LoF and CoF with the ability to customize weight factors. Recent improvements in Info360 Asset risk modeling include spatial proximity analysis, additional fields available as CoF and LoF factors, and auto-calculated fields for LoF and CoF.
Spatial Proximity Analysis
Spatial proximity is a crucial factor when considering both Consequence and Likelihood of Failure for any given asset. The use of spatial data enables the assessment of the impact of failure on surrounding buildings, other infrastructures, critical customers, and the environment. It also provides further factors to consider when determining the cost of intervention.
Spatial proximity is especially important for linear assets that encounter field conditions beyond the control of the asset owner, namely everyday life in both urban and rural environments. Natural and physical influences can accelerate the deterioration of assets such as corrosive soils, groundwater electrolytes, dynamic loading from traffic, and even moving soils.
Spatial proximity to any one of these inherently elevates the criticality of certain assets, such as fire hydrants near schools and hospitals, or sewer manholes near streams and lakes with potential discharge. In addition to X and Y coordinates, elevation is especially important for gravity-based sewer assets. Gravity-based mains in low-lying terrain are typically subjected to higher unwanted inflow and infiltration, which effectively reduces the design capacity of the sewer.
Understanding spatial proximity in relation to other assets can also drive rehabilitation methods and ultimately enhance cost. For example, the application of pipe-bursting methods can indeed be more cost-effective than traditional open-trench construction in and around major transportation corridors where permit complexity escalates.
Using Info360 Asset, users can selectively choose which spatial layers are included in the calculation of CoF. The proximity of assets to objects in the spatial layer is calculated and converted to a CoF spatial component score. Multiple spatial layers can be used to construct the overall spatial CoF profile.
Each spatial CoF can then be assigned a weighting value to emphasize the relative importance and contribution to the overall value of CoF. Additionally, within any given CoF category, the user can choose to ignore individual weightings and take the highest score for any individual spatial layer -- reflecting a worst-case scenario. This allows the user to prepare for any situation when risk planning.
A CoF component is created using a fire station point layer -- scoring methods are applied to determine the risk of the assets.
New Standard Fields + Calculated Fields for LoF and CoF
Slope is an important aspect of both operational and structural failure. Low slope or flat pipes tend to have lower velocities and, thus, sedimentation fallout such as grit, debris, or Fats, Oils, and Grease (FOG) cause blockages. High slope or steep pipes tend to have high velocities and are assumed to be "operationally self-cleaning" from scour, but significant bouncing debris can also cause pitting in the pipe wall leading to premature structural failures.
Buried depth is often a critical factor in the cost of a repair -- the deeper the pipe, the more expensive and time consuming it might be to replace due to excavation and logistics.
Asset failures are commonly attributed to structure integrity issues, yet assets can also fail due to service issues causing a reduction in conveyance and, therefore, operational capacity. With structural integrity, there is much science in deterioration modeling under normal decay parameters of various materials.
Premature failure with the accompanying increase in risk can be assessed by understanding installation factors. Installation factors, such as unskilled or under-resourced crews, poor installation, and reinstatement methods such as inadequate backfilling or compaction that may cause the pipe to move.
A failure of capacity is determined by traditional hydraulic modeling and capacity management. It is a fundamental tenant of asset management that assets have an intent to serve under prescribed Levels of Service quantified by pressure and flow. Service level is a function of the customer and the asset itself. While under Consent Decree, risk managers may declare that a d/D ratio of .8 may be "failure" in lieu of 1.0 surcharge conditions to mitigate the potential risk of non-compliance.
Info360 Asset now enables you to extend the scope of your risk modeling to include the use of new fields in risk components. Users can now use "gradient (slope)," "capacity," and "installed by" attributes when creating new risk components. Additionally, we're automatically calculating gradient (slope) and depth for the user – both of which can now be used in risk models.
The new fields available when creating new LoF and CoF components.
Enhanced Condition Reporting
The key to understanding failure mechanisms is determining the causal relationships in asset management's problem, cause, and remedy workflow. Understanding an assets current condition can help identify these causal relationships -- both in the form of observations and defects in an individual assets inspection, and viewing the results in aggregate across many assets.
Asset condition scores are calculated from CCTV pipeline inspection data, which can be managed in Info360 Asset. During verification of inspection data, Info360 Asset calculates nine overall structural and O&M ratings. These can now be visualized, sorted, and filtered on an asset-by-asset basis using the new Condition Summary Report.
The individual asset condition components, including the overall asset condition as well as the structural and maintenance elements of the condition data, are reported. Asset details and the latest associated inspection can be conveniently accessed from this report, for increased productivity.
The condition summary report gives the user access to all their condition scores across all assets in their network.
If you would like to know more about Info360 Asset and how it can help you and your organization or would like to speak with an expert, click here.