Company Filing History:
Years Active: 1995-1996
Title: Innovations of David V Cardner
Introduction
David V Cardner is an accomplished inventor based in Orange, Texas. He has made significant contributions to the field of process modeling and flow data reconciliation. With a total of 2 patents, his work focuses on improving the accuracy and efficiency of flow data processing.
Latest Patents
One of his latest patents is titled "System and method for improved flow data reconciliation." This invention provides a system and method for enhanced processing of flow data signals, resulting in output flow data signals that more accurately reflect the true flows being measured. The approach involves running a dynamic simulation in parallel with flow data reconciliation, utilizing model predicted flows to complete balances when sensor measurements are unavailable. This method also incorporates weighting factors on sensors to minimize the impact of high-error sensors, thereby improving the overall effectiveness of the reconciliation process.
Another notable patent is "System and method for improving model product property estimates." This invention aims to enhance stream composition and product property estimates from process models, ensuring they better reflect actual process conditions. By running process simulation models alongside the actual process, adjustments are made to maintain alignment with continuously measured key process variables. This dual approach significantly improves the model's ability to track real-time process conditions and enhances the accuracy of stream composition and product property estimates.
Career Highlights
Throughout his career, David V Cardner has worked with prominent companies, including E.I. Du Pont De Nemours and Company. His experience in these organizations has contributed to his expertise in process modeling and flow data reconciliation.
Collaborations
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Conclusion
David V Cardner's innovative patents and career achievements highlight his significant contributions to the field of process modeling and flow data reconciliation. His work continues to influence advancements in the industry.