Company Filing History:
Years Active: 1991-2005
Title: Gene P Ort: Innovator in Proximity Measurement Systems
Introduction
Gene P Ort is an accomplished inventor based in Spring, TX (US). He holds 2 patents that showcase his innovative contributions to the field of proximity measurement systems. His work emphasizes the importance of reliable identification and monitoring systems in industrial applications.
Latest Patents
One of Gene's latest patents is a "Color code alphanumeric system for identifying components of a proximity measurement system." This invention introduces a color code system to identify the type or series of proximity probes used, along with an alphanumeric labeling system to indicate the system length. This dual system enhances the installation and maintenance processes of proximity measurement systems, making them more efficient and reliable.
Another significant patent is the "Apparatus for detecting carryover particles in the interior of a furnace." This apparatus features multiple spaced detectors that monitor specific areas within a furnace to detect carryover particles. The processed signals provide a count of these particles, which can be displayed to assist operators in managing furnace performance effectively. The use of image sensors, such as CCD detectors, further enhances the monitoring capabilities by providing visual displays of detected particles.
Career Highlights
Throughout his career, Gene has worked with notable companies, including Weyerhaeuser Company. His experience in these organizations has contributed to his expertise in developing innovative solutions for complex industrial challenges.
Collaborations
Gene has collaborated with professionals such as George Kychakoff and Quentin J Bach. These partnerships have likely enriched his work and led to advancements in his inventions.
Conclusion
Gene P Ort's contributions to the field of proximity measurement systems reflect his dedication to innovation and problem-solving. His patents demonstrate a commitment to improving industrial processes through effective monitoring and identification systems.