Carrier Corporation

Endress + Hauser Wetzer Gmbh + Co. Kg

Marc Beasley

Jeffrey Allen Leshuk

Murat Yasar

Mark E Cywilko

John Edward Cronin

Robert A Chopko

Yu Chen

Ciara N Poolman

Giorgio Rusignuolo

Luke DiMaggio

Kartik Kumar

Christopher Michael Huffines

Joseph George Bodkin

Veronica Adetola

Dieter Schmidt

Yu H Chen

Luke Dimaggio

Dylan Jonathan Wilson

Draguna Vrabie

Scott Endress+Hauser Level + Pressure Inc Mabs

Ciara Poolman

A system for managing ripeness of perishable goods including: a storage device to store perishable good requirements, ripening capability parameters, ripening schedules, and perishable good parameters associated with the perishable goods; and a ripeness management system coupled to the storage device. The ripeness management system including: a current ripeness determination module to determine current ripeness levels in response to at least one of the perishable good parameters, the perishable good requirements, and the ripening schedules; a ripeness schedule module to determine predicted ripeness levels in response to at least one of the current ripeness levels, the ripening capability parameters, and the ripening schedules; and a meshing module to determine ripening schedule adjustments in response to at least one of the current ripeness levels, the perishable good parameters, the ripening schedules, and the ripening capability parameters.

Prep in transit management system for perishable good transport

A system for managing transport refrigeration units () is provided. The system includes a storage device () to store transport parameters () associated with a transport refrigeration unit (). The storage device storing historical transport parameters () for other transport refrigeration units (). Also included is an equipment management system () coupled to the storage device, the equipment management system () including: a diagnostic module () to determine a condition of the transport refrigeration unit () in response to the transport parameters (); a predictive maintenance module () to determine a need for upcoming maintenance of the transport refrigeration unit () in response to the transport parameters (); and a remaining life module () to determine a remaining life of at least one component of the transport refrigeration unit () in response to the transport parameters ().

Automated diagnostics for transport refrigeration units

A cargo transport system includes a container for storing perishable products, and a control assembly for controlling an environment parameter. A sensor of the system is configured to measure the environment parameter. A detector of the system may be directly secured to the perishable products for measuring a product condition. A control module of the system is configured to receive signals from the sensor and the detector indicative of the measured environment parameter and product condition, process the signals, and send a command signal to the control assembly for adjusting the environment parameter.

Cargo transport system for perishable products

A system for managing sanitation of a container for perishable goods including: a storage device to store perishable good requirements, sanitation schedule parameters, sanitation requirements, sanitation test results, and perishable good parameters associated with the perishable goods; and a sanitation management system coupled to the storage device. The sanitation management system including: a sanitation assessment module to determine sanitation risk levels in response to at least one of the perishable good parameters, the perishable good requirements, the sanitation schedule parameters, sanitation test results, and the sanitation requirements; a sanitation schedule module to determine sanitation schedule adjustments in response to at least one of the sanitation risk level, the sanitation schedule parameters, and the sanitation requirements; and a meshing module to determine output parameters in response to at least one of the sanitation risk levels and the sanitation schedule adjustments.

Sanitation management system for perishable good transport

A method and system to control a refrigeration unit () in response to a cargo load () in a refrigerated container includes providing a plurality of sensors disposed within the refrigerated container, providing a cargo load temperature range and a cargo load excursion time limit corresponding to the cargo load, receiving a plurality of temperature readings corresponding to the cargo load via the plurality of sensors, operating the refrigeration unit in a power saving mode in response to the plurality of temperature readings within the cargo load temperature range, and operating the refrigeration unit in a standard mode in response to the plurality of temperature readings outside the cargo load temperature range for longer than the cargo load excursion time limit.

Controlling a refrigeration unit in response to a specific cargo load

Systems and methods for checking proper airflow within a container () having a refrigeration unit () are provided. The system includes one or more sensors () located within the container configured to measure at least one airflow characteristic, and a controller () in communication with the one or more sensors. The controller is configured to store predetermined information related to airflow within the container, wherein the predetermined information includes minimum airflow criteria related to the at least one airflow characteristic, receive data from the one or more sensors, compare the received data with the predetermined information, and provide an indicator when the comparison indicates that the received data does not meet or exceed the minimum airflow criteria.

Methods and systems for checking proper airflow within a container

A system for monitoring goods within a distribution chain is provided. The system includes a storage device to store parameters associated with the goods of a distribution chain, at least one of the parameters being received from a transport refrigeration system. The storage device storing historical parameters for other goods. Also included is a parameter management system coupled to the storage device. The parameter management system including: a predictive module to determine predicted parameters; and a meshing module to determine output parameters by combining the predicted parameters and the parameters.

Automated and predictive monitoring of perishable good parameters throughout a cold chain distribution system

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Beverly, MA, United States of America

Marc Beasley