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: 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 and apparatus for adjusting wheel diameter by acquiring a current wheel diameter distribution vector; calculating similarity scores between the current wheel diameter distribution vector and known wheel diameter distribution vector clusters to determine a potential wear rate of the current wheel diameter distribution vector; calculating similarity scores between candidate target wheel diameter distribution vectors and the known wheel diameter distribution vector clusters to determine a potential wear rates of the candidate target wheel diameter distribution vectors; and selecting a target wheel diameter distribution vector from the candidate target wheel diameter distribution vectors, such that the reduction of potential wear rate achieved by switching the current wheel diameter distribution vector to the target wheel diameter distribution vector meets a predetermined condition.

Abstract: A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.

Abstract: An apparatus for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle is disclosed. The apparatus includes an association module that associates wheel inspection data of the vehicle with locations of corresponding wheels in the vehicle; an evaluation module that evaluates a wheel stable score of the vehicle based on the wheel inspection data and the association, where the wheel stable score indicates reliability of the wheel inspection; and a parameter tuning module that tunes a measurement error covariance of the Kalman filter according to the evaluated wheel stable score.

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 database system and a method of optimizing cross-database query. The database system includes a plurality of databases. At least two of the databases are stored with one or more data collections composed of tables with the same structure. A federated view of the data collection is created on each of the databases. A request routing layer for routing, in response to a query request crossing the data collections, the query request crossing the data collections to one of the at least two databases according to a predetermined routing rule, so as to query by using the federated view of the database.

Abstract: A method for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle. The method includes: associating wheel inspection data of the vehicle with locations of wheels in the vehicle; evaluating a wheel stable score of the vehicle based on the wheel inspection data and the association, wherein the wheel stable score indicates reliability of the wheel inspection; and tuning measurement error covariance of the Kalman filter according to the evaluated wheel stable score. By using the method, the parameter of the Kalman filter can be dynamically tuned to enable the Kalman filter to filter more accurately to ensure the correct result of the wheel inspection. In addition, an apparatus for tuning a parameter of a Kalman filter and a wheel inspection system for a vehicle are disclosed.

Abstract: A method and system for processing database operation requests, the method comprising: receiving a database operation request from a user; determining whether the database operation request is a heavy-duty request; if the database operation request is a heavy-duty request, routing the database operation request to a heavy-duty request database partition for processing heavy-duty requests to be processed, and recording the data scope affected by the database operation request into a metadata repository, wherein the heavy-duty request database partition is set besides an original normal database partition.

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: A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.

Abstract: A method for determining a maintenance schedule of geographically dispersed physical assets includes receiving asset data including infrastructure relationships between the assets, modeling failure risk of the assets based on spatial, temporal and network relationships, and producing the maintenance schedule according to a combination of the risk model, asset data, maintenance, and external operation constraints. The maintenance schedule may be corrective and/or strategic.

Abstract: An apparatus for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle is disclosed. The apparatus includes an association module that associates wheel inspection data of the vehicle with locations of corresponding wheels in the vehicle; an evaluation module that evaluates a wheel stable score of the vehicle based on the wheel inspection data and the association, where the wheel stable score indicates reliability of the wheel inspection; and a parameter tuning module that tunes a measurement error covariance of the Kalman filter according to the evaluated wheel stable score.

Abstract: A method for tuning a parameter of a Kalman filter in a wheel inspection for a vehicle. The method includes: associating wheel inspection data of the vehicle with locations of wheels in the vehicle; evaluating a wheel stable score of the vehicle based on the wheel inspection data and the association, wherein the wheel stable score indicates reliability of the wheel inspection; and tuning measurement error covariance of the Kalman filter according to the evaluated wheel stable score. By using the method, the parameter of the Kalman filter can be dynamically tuned to enable the Kalman filter to filter more accurately to ensure the correct result of the wheel inspection. In addition, an apparatus for tuning a parameter of a Kalman filter and a wheel inspection system for a vehicle are disclosed.

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 method and apparatus for adjusting wheel diameter by acquiring a current wheel diameter distribution vector; calculating similarity scores between the current wheel diameter distribution vector and known wheel diameter distribution vector clusters to determine a potential wear rate of the current wheel diameter distribution vector; calculating similarity scores between candidate target wheel diameter distribution vectors and the known wheel diameter distribution vector clusters to determine a potential wear rates of the candidate target wheel diameter distribution vectors; and selecting a target wheel diameter distribution vector from the candidate target wheel diameter distribution vectors, such that the reduction of potential wear rate achieved by switching the current wheel diameter distribution vector to the target wheel diameter distribution vector meets a predetermined condition.

Abstract: A method for determining a maintenance schedule of geographically dispersed physical assets includes receiving asset data including infrastructure relationships between the assets, modeling failure risk of the assets based on spatial, temporal and network relationships, and producing the maintenance schedule according to a combination of the risk model, asset data, maintenance, and external operation constraints. The maintenance schedule may be corrective and/or strategic.

Abstract: A database system and a method of optimizing cross-database query. The database system includes a plurality of databases. At least two of the databases are stored with one or more data collections composed of tables with the same structure. A federated view of the data collection is created on each of the databases. A request routing layer for routing, in response to a query request crossing the data collections, the query request crossing the data collections to one of the at least two databases according to a predetermined routing rule, so as to query by using the federated view of the database.