US 11,854,368 B2
Refrigerated cargo monitoring
Ran Menachem Grinshtain, Kfar Hess (IL)
Assigned to ARROWSPOT SYSTEMS LTD., Kfar Hess (IL)
Appl. No. 17/424,414
Filed by ARROWSPOT SYSTEMS LTD., Kfar Hess (IL)
PCT Filed Jan. 23, 2020, PCT No. PCT/IL2020/050091
§ 371(c)(1), (2) Date Jul. 20, 2021,
PCT Pub. No. WO2020/152684, PCT Pub. Date Jul. 30, 2020.
Claims priority of provisional application 62/795,655, filed on Jan. 23, 2019.
Prior Publication US 2022/0092962 A1, Mar. 24, 2022
Int. Cl. G08B 21/18 (2006.01); F25D 11/00 (2006.01); F25D 29/00 (2006.01); G06F 18/214 (2023.01)
CPC G08B 21/182 (2013.01) [F25D 11/003 (2013.01); F25D 29/003 (2013.01); G06F 18/214 (2023.01); G06F 2218/12 (2023.01)] 14 Claims
OG exemplary drawing
 
1. A method of monitoring a refrigerated cargo container in real time, implemented by a controller having one or more processors and having memory storage, the memory storage including instructions that when executed by the one or more processors implement steps comprising:
receiving sensor signals from a plurality of sensors that include two or more of a container air temperature sensor, a container air humidity sensor, a refrigeration unit suction pressure sensor, and a refrigeration unit discharge pressure sensor;
processing the sensor signals to identify one or more signal characteristics that correspond to predefined patterns, wherein the predefined patterns are correlated to one or more container conditions including at least one of an open door, a container load level, and a cargo type;
providing a status notification indicative of the one or more container conditions; and
determining the predefined patterns by receiving training sensor signals, from multiple refrigeration controllers on multiple respective refrigerated containers, during training mode operation, when the one or more container conditions of open door, cargo load level and cargo type are known, identifying patterns in the training sensor signals, and correlating the identified patterns with the one or more of the known container conditions of open door, cargo load level, and cargo type.