Multi-sensor closed-loop refrigeration control for freight containers
Systems and methods can control refrigeration within a refrigerated freight container. Thermal sensor nodes can be positioned within the freight container. Temperature measurements can be wirelessly relayed from the sensor nodes to a gateway associated with the freight container. The received temperature measurements can be aggregated and logged at the gateway. Thermal models of the freight container and associated cargo loads can be established in response to the logged temperature measurements and loading plan for the foreign container. The refrigeration system can be controlled in response to processing the thermal models. The refrigeration system can be controlled to optimize compliance parameters associated with the cargo loads.
1. A method for refrigeration control in a freight container in active transit, the method comprising:
wirelessly receiving, at a gateway, measurements from a first sensor node and a second sensor node, wherein,
the measurements include at least one of temperature, humidity, and light detected by the sensor nodes, and
the first sensor node is stored inside of a cargo load stored inside of the freight container, and
the second sensor node is stored outside of the cargo load and inside of the freight container;
establishing a predictive thermal model from the measurements over time and operation of the refrigeration system; and
controlling a refrigeration system in the freight container to preserve cargo stored inside of the cargo load, wherein the controlling includes inputting the measurements into the predictive thermal model to estimate physical parameters of the cargo between the sensor nodes.
2. The method of claim 1 , wherein the wirelessly receiving uses at least one of a satellite network, a cellular network, and Long Range (LoRa) modulation standard.
3. The method of claim 1 , wherein the gateway is co-located with the freight container, the method further comprising:
wirelessly transmitting, from the gateway to a server, the measurements, wherein the server is remote from the freight container and not in transit, and wherein the wirelessly transmitting uses at least one of a satellite network, a cellular network, and Long Range (LoRa) modulation standard.
4. The method of claim 1 , wherein the establishing further includes establishing the predictive thermal model from thermal properties of the freight container and thermal properties of the cargo load.
5. The method of claim 1 , wherein the predictive thermal model is a temperature field within the freight container and cargo load.
6. The method of claim 1 , wherein the freight container contains,
a plurality of the cargo loads each with a first sensor node stored inside, and
a plurality of the second sensor nodes outside the cargo loads inside the freight container, wherein the measurements include measurements from all of the first and all of the second sensor nodes.
7. The method of claim 6 , wherein the controlling includes allowing one of the cargo loads to exceed a temperature limit and sacrificing the one of the cargo loads to preserve temperature limit compliance of another of the cargo loads.
8. The method of claim 7 , wherein the one of the cargo loads sacrificed has a lower monetary value or importance value than the another of the cargo loads.
9. The method of claim 1 , wherein,
the freight container is an intermodal container standardized for operation in shipping, railroad, and trucking,
the refrigeration system is a closed-loop refrigeration system intaking air from and inputting cooled air into the freight container, and
the wirelessly receiving uses an electromagnetic interface that passes through the cargo loads and the freight container.
10. A refrigeration control system for use in a freight container in active transit, the system comprising:
a first sensor node configured to store inside of a cargo load stored inside of the freight container;
a second sensor node configured to store outside of the cargo load and inside of the freight container, wherein the first and the second sensor nodes measure at least one of temperature, humidity, and light; and
a gateway associated with the freight container not inside any cargo load and configured to,
wirelessly receive the measurements from the first sensor node and the second sensor node,
establish a predictive thermal model from the measurements over time and operation of the refrigeration system, and
control a refrigeration system in the freight container to preserve cargo stored inside of the cargo load, wherein the controlling includes inputting the measurements into the predictive thermal model to estimate physical parameters of the cargo between the sensor nodes.
11. The system of claim 10 , wherein the gateway is configured to wirelessly communicate on at least one of a satellite network, a cellular network, and Long Range (LoRa) modulation standard.
12. The system of claim 10 , further comprising:
the refrigeration system, wherein the gateway and the refrigeration system are co-located with the freight container, wherein the gateway is further configured to wirelessly transmit, to a server, the measurements, wherein the server is remote from the freight container and not in transit, and wherein the wirelessly transmitting uses at least one of a satellite network, a cellular network, and Long Range (LoRa) modulation standard.
13. The system of claim 12 , further comprising:
the freight container, wherein the freight container is an intermodal container standardized for operation in shipping, railroad, and trucking, and wherein the refrigeration system is a closed-loop refrigeration system intaking air from and inputting cooled air into the freight container.
14. The system of claim 10 , wherein the gateway is further configured to establish the predictive thermal model from thermal properties of the freight container and thermal properties of the cargo load, wherein the predictive thermal model is a temperature field within the freight container and cargo load.
15. The system of claim 10 , further comprising;
a plurality of the first sensor nodes each configured to store inside of a cargo load inside the freight container; and
a plurality of the second sensor nodes each configured to store outside the cargo loads inside the freight container, wherein the measurements include measurements from all of the first and all of the second sensor nodes.
16. The system of claim 10 , wherein the gateway is further configured to allow one of the cargo loads to exceed a temperature limit and sacrifice the one of the cargo loads to preserve temperature limit compliance of another of the cargo loads having a higher monetary value or importance value than the one of the cargo loads sacrificed.
17. A method for refrigeration control in a freight container in active transit, the method comprising:
wirelessly receiving, at a gateway, measurements from a first sensor node and a second sensor node, wherein,
the measurements include at least one of temperature, humidity, and light detected by the sensor nodes, and
the first sensor node is stored inside of a cargo load stored inside of the freight container, and
the second sensor node is stored outside of the cargo load and inside of the freight container; and
controlling a refrigeration system in the freight container based on the measurements to preserve cargo stored inside of the cargo load, wherein the controlling includes allowing one of the cargo loads to exceed a temperature limit and sacrificing the one of the cargo loads to preserve temperature limit compliance of another of the cargo loads.