Abstract: Embodiments of the invention relate to a method for providing performance driven municipal asset needs and sustainability analysis. The method includes calculating asset health scores for a plurality of assets in an infrastructure. The asset health scores change as a function of time. The method also includes identifying prescription options for the assets. The identifying is based on the asset health scores. The prescription options include cost, value, and time for execution. A multi-objective optimization is applied based on the asset health scores and prescription options to identify at least a subset of the prescription options that may be implemented within a provided budget to maintain a sustainability threshold for an overall infrastructure health score.

Abstract: Embodiments of the invention relate to a method for providing performance driven municipal asset needs and sustainability analysis. The method includes calculating asset health scores for a plurality of assets in an infrastructure. The asset health scores change as a function of time. The method also includes identifying prescription options for the assets. The identifying is based on the asset health scores. The prescription options include cost, value, and time for execution. A multi-objective optimization is applied based on the asset health scores and prescription options to identify at least a subset of the prescription options that may be implemented within a provided budget to maintain a sustainability threshold for an overall infrastructure health score.

Abstract: Embodiments of the invention relate to asset lifecycle management. A method includes assessing a current health condition of a plurality of assets that are managed by a plurality of different entities. Predictive analytics are applied to determine a predicted future health condition of the assets. Prescription options for the assets are determined based on the current health condition and the predicted future health condition of the assets. Each prescription option specifies an asset, a timeframe, an expected cost, and an expected future health condition of the asset. Spatial and temporal analytics are performed to combine individual prescription options into a unified project. The unified project includes prescription options that specify assets that are managed by at least two of the entities. A timeframe to execute the unified project is determined based on financial constraints and spatial constraints. The unified project plan is output.

Abstract: A method for creating a spatio-temporal schedule includes receiving a set of available work crews and a set of workorders to be scheduled, sequencing the set of workorders, wherein each workorder of the set of workorders is associated with a geographic location, a start time and an end time, and iterating through the set of available work crews, assigning a plurality of workorders of the set of workorders fully allocating a current crew before selecting a next crew, until all work crews are fully allocated and/or all workorders are assigned, wherein the assignment of workorders for a given work crew generates a route comprising the plurality of workorders.

Abstract: An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

Abstract: A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.

Abstract: An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

Abstract: A system and method for mining the failure association rules of geographically dispersed physical assets is provided. One approach of the present invention has steps of joining input data sources, extracting spatio-temporal (ST) information, quantilizing ST continuous value in automated manner, or based on pre-built knowledge, applying association rule mining algorithm to find associations between attributes and failure and outputting identified ST failure association rules.

Abstract: A preventative maintenance method and a system for estimating the risk of failure of an asset based on intrinsic parameters such as failure history combined with causative factors like weather and independent external risk factors such as vandalism and risk of flooding. The present invention may further have a system for estimating the risk of failure of an asset based on intrinsic parameters, such as failure history combined with causative factors such as weather and independent external risk factors like vandalism and risk of flooding having a location based asset/service failure risk estimator, an external risk estimates database for feeding and an integrated failure risk database, the external risk estimates database feeding the integrated failure risk database.

Abstract: A computing system initializes a first frontier to be a root of a multi-dimensional hierarchical data structure representing an entity. The system acquires first data corresponding to the first frontier. The system performs modeling on the first data to obtain a first model and a corresponding first statistic. The system expands a dimension of the first frontier. The system gathers second data corresponding to the expanded frontier. The system applies the data modeling on the second data to obtain a second model and a corresponding second statistic. The system compares the first statistic of the first model and the second statistic of the second model. The system sets the second model to be the first model in response to determining that the second model statistic is better than the first model statistic. The system outputs the first model.