KLATU Granted its 5th U.S. Patent for Predicting Failures in Laboratory Cold Storage Systems

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Patent describes the use of machine learning algorithms to detect temperature stability and sensor calibration errors in laboratory refrigeration systems.

Patent describes the usage of machine studying algorithms to detect temperature stability and sensor calibration errors in laboratory refrigeration programs.

It’s game-changing—it makes use of an array of completely put in low-cost temperature sensors & real-time machine studying algorithms to detect modifications in temperature stability & sensor calibration errors”

— Rick Kriss, KLATU’s President

SAN DIEGO, CALIFORNIA, USA, November 14, 2022 /EINPresswire.com/ — The US Patent and Trademark Office has just lately awarded KLATU Networks™ patent 11,402,279 that describes the usage of machine studying algorithms to detect temperature stability and sensor calibration errors in laboratory freezer and refrigeration programs. The patent builds on know-how beforehand patented by KLATU for predicting compressor failures and wasted power utilizing a novel benchmark scoring method just like FICO® scoring in the credit score business.

KLATU’s President, Rick Kriss, describes the invention as game-changing—referring to the usage of an array of completely put in low-cost temperature sensors and real-time machine studying algorithms to detect modifications in temperature stability and sensor calibration errors. The system is designed to exchange costly scheduled temperature mapping qualification and validation protocols with a software program resolution that repeatedly displays the validation standing of a freezer, fridge, or chilly room.

The design purpose of the system, in response to Kriss, is the elimination of “Never Events”—the lack of high-value merchandise or analysis when temperature stability or calibration points go undetected for months earlier than they’re found at a scheduled validation cycle.

The software program might be priced with a payback measured in months, primarily based on the financial savings from lowered labor and product losses, in addition to fewer occasions that require compliance reporting.

APPLICABILITY
KLATU will initially goal two million controlled-temperature storage programs used all through the Life Science and Biopharma industries—purposes comparable to Ultra-Low Temperature (ULT) freezers, fridges, liquid nitrogen storage tanks and environmental chambers. Kriss additionally famous that the machine studying fashions are equally efficient managing incubators, shaker-tables, and different purposes in business refrigeration and Heating, Cooling and Ventilation programs (HVAC).

INDUSTRY PERSPECTIVE: DIGITAL TRANSFORMATION
KLATU’s analysis estimates that Life Science and Biopharma corporations spend greater than $400 million per 12 months executing temperature mapping, calibration and validation protocols for cold-storage and cell-growth programs. KLATU’s software program resolution might be marketed as a brand new software that replaces labor with know-how, offering KLATU prospects with the means to realize increased ranges of high quality management at decrease price.

TRAXX is a platform know-how that helps a number of purposes and options. The newest function for steady monitoring of stability and calibration will quickly be be added to the TRAXX/EKG™ software suite. The suite already contains predictive failure analytics, restore, and power administration.

Dario Villatoro
KLATU Networks
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