San Diego, CA—KLATU Networks is proud to announce the award of our 9th U.S. patent, further securing our position as the industry leader in IoT-based predictive analytics for mission-critical storage systems in the life sciences and pharmaceutical sectors.
U.S. Patent 11927506 titled "Systems and Methods for Monitoring, Inferring State of Health, and Optimizing Efficiency of Refrigeration Systems" represents a significant advancement in refrigeration monitoring, particularly for ultra-low temperature (ULT) freezers that are critical to life science research and biomedical applications.
The system employs sophisticated statistical and pattern analysis techniques to characterize temperature cycles within refrigerated compartments. By monitoring these cycles and detecting deviations from baseline performance metrics, the technology can identify potential issues before they lead to catastrophic failures—a crucial capability for facilities storing high-value biological samples and research specimens.
Key features of the patented technology include:
Non-invasive temperature monitoring that establishes baseline performance for individual or groups of refrigeration units.
Advanced pattern recognition that identifies inefficiencies in thermodynamic cycles.
Real-time comparison of performance against baseline metrics.
Electrical current monitoring to correlate energy consumption with temperature patterns.
Predictive analytics that can forecast maintenance needs before failures occur.
Network connectivity that enables remote monitoring and alerts
The technology addresses a critical industry challenge: according to the data, life science research facilities and manufacturing sites consume 2 to 8 times more energy than commercial buildings, with refrigeration equipment accounting for an estimated 20-45% of total energy usage.
"Our customers rely on continuous, uninterrupted refrigeration to protect invaluable research materials and biological samples," explains Rick Kriss, President of KLATU Networks. "This patented technology allows them to transition from reactive maintenance to a predictive model that prevents costly failures while optimizing energy efficiency."
The system offers particular value for ULT freezers operating at temperatures as low as -80°C, where unexpected failures can result in catastrophic loss of research specimens. By identifying patterns that indicate potential problems, laboratories can schedule preventive maintenance during convenient times rather than experiencing emergency shutdowns.
This patent reinforces KLATU's position as the leading provider of predictive monitoring solutions for life science refrigeration systems, enabling customers to achieve near-zero breakdown performance while reducing maintenance costs and energy consumption.