This inventor holds 1 USPTO granted patent. Top assignee: Honeywell International Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: James Llewellyn Van Brampton: Innovator in Fire System Maintenance Prediction
Introduction
James Llewellyn Van Brampton is an accomplished inventor based in Charlotte, NC (US). He has made significant contributions to the field of fire safety through his innovative patent. His work focuses on enhancing the reliability and efficiency of fire systems, which is crucial for ensuring safety in various environments.
Latest Patents
James holds a patent for "Maintenance prediction for devices of a fire system." This invention describes devices, systems, and methods for predicting maintenance needs for fire system devices. The patent outlines a computing device that utilizes memory and a processor to analyze fire system device data. It generates a fire device analysis that includes predicted behavior and a timeline for the fire device's performance.
Career Highlights
James is currently employed at Honeywell International Inc., a leading company in technology and safety solutions. His role involves leveraging his expertise to develop advanced fire safety systems. With a focus on innovation, he has contributed to the company's mission of enhancing safety through technology.
Collaborations
James has worked alongside talented colleagues, including Mahadevan Somasundram Balakrishnan and Gaddigesh Nagappa Admani. Their collaborative efforts have furthered advancements in fire safety technology.
Conclusion
James Llewellyn Van Brampton is a notable inventor whose work in fire system maintenance prediction exemplifies innovation in safety technology. His contributions are vital for improving fire safety systems and ensuring public safety.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
