Abstract: Plant parameters and performance of an industrial plant such as a boiling water nuclear reactor plant can be assessed over a global network. Plant parameter and performance data are compiled from a plurality of operating plants, and this data is stored in a categorized historical database. Users are provided access to the historical database over the global network to perform self-assessments and generate comparison graphics showing percentile ranking, trending, etc. Data generated at a particular plant can be downloaded to a server site for more detailed engineering analyses using conventional methods. Reports and commentary on the analyses can be returned to the user via the global network.

Abstract: A method of monitoring process parameters and process effectiveness over a global network enables multiple processing sites to utilize globally compiled field data to determine process parameters and the like. Application parameters are received from multiple processing sites over the global network, and post-application data is received from the multiple processing sites at preset time intervals. The application parameters and the post-application data are analyzed to determine analytical models for future application parameters, which are accessible by system users via the global network.

Abstract: Plant parameters and performance of an industrial plant such as a boiling water nuclear reactor plant can be assessed over a global network. Plant parameter and performance data are compiled from a plurality of operating plants, and this data is stored in a categorized historical database. Users are provided access to the historical database over the global network to perform self-assessments and generate comparison graphics showing percentile ranking, trending, etc. Data generated at a particular plant can be downloaded to a server site for more detailed engineering analyses using conventional methods. Reports and commentary on the analyses can be returned to the user via the global network.