Profit SensorPro

Profit SensorPro is a convenient data analysis and inferential modeling tool that simplifies the task of identifying and developing soft sensor relationships among process variables. These relationships provide the user with a better understanding of process operations with online capabilities for real-time quality control and improved process monitoring. In addition, these relationships enhance the benefits of advanced control and optimization strategies.

With its broad range of offline and online capabilities, Profit SensorPro can be applied to a broad range of industries, including refining, oil and gas, chemicals, pulp and paper, power generation and mining and minerals. Offline and online models can also be used seamlessly with other Profit Suite components such as Profit Controller or Profit Optimizer to improve plant profitability.

Profit SensorPro enables the detailed analysis of complex data sets using a suite of advanced mathematical tools, including ordinary least squares (OLS), weighted least squares (WLS) and partial least squares (PLS) regression, dynamic sub-space (DSS) and user-entered structure (UES) models. Input selection is simplified with principal component analysis (PCA) and statistical variable ranking tools. Additional capabilities include dynamic compensation, and automated variable combination and transformation utilities.

Once a model has been developed, it can be automatically integrated into Honeywell’s online execution environment for use with advanced applications such as Profit Controller or any other Profit Suite component. Model accuracy is effectively maintained through online model updating with periodic laboratory or online analyzer feedback information.

​Profit SensorPro provides reliable process information and accurate prediction of product quality that cannot be measured online, is too expensive to measure, or can only be measured very infrequently. As a result, users benefit from improved process monitoring, control and optimization capabilities.​