REFRIGERATED TRANSPORT CONTAINER WIRELESS REMOTE TRACKING AND MANAGEMENT SYSTEMS AND METHODS

• US 20160238406A1
• Filed: 02/16/2016
• Published: 08/18/2016
• Est. Priority Date: 02/13/2015
• Status: Abandoned Application

• Current Assignee: The Burtner Group, LLC
• Original Assignee: The Burtner Group, LLC
• Inventors: BURTNER, Richard Lee, GAFA, Jason Michael
• Application Number:
  US15/045,239
• Publication Number:
  US 20160238406A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01S 19/14 specially adapted for specific applications
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/2322 using timestamps
• CPC Class Codes: G06Q 10/0833 Tracking
• CPC Class Codes: H04B 1/38 Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving

Abstract

Refrigerated transport container wireless remote tracking and management systems include one or more sensors installed on an asset, the sensors including a positioning sensor and a temperature sensor, and a remote central computing device configured to receive data from the sensors, process the data, associate it with a date/time of generation, and store the data, and including modules. The modules include a communications module, a display module displaying data overlaid on a map to indicate a position of the asset, an asset information module to receive asset information and associate it with the asset, a sensor reading anomaly module to receive sensor reading anomaly criteria and sensor readings and send a notification when the asset crosses a sensor reading threshold, a sensor reading anomaly criteria customization module to receive allowable sensor readings and to create sensor reading anomaly criteria, and a dashboard module configured to display a time-period data summary.

Claims

1. A system, comprising:

one or more sensors installed on an asset to be tracked, wherein the sensors comprise a positioning sensor and a second sensor;

a remote central computing device configured to receive data from the sensors, process the data, associate it with a date/time of generation, and store the data in a database and comprising modules, including;

a communications module configured to receive requests for data from remote user computing devices and to transmit requested data to the remote user computing devices;

a display module configured to display the requested data on the remote user computing device, including displaying data from the positioning sensor overlaid on a map to indicate a position of the asset;

an asset information module configured to receive asset information from the remote user computing device and associate it with the asset;

a sensor reading anomaly module configured to receive sensor reading anomaly criteria from the sensor reading anomaly criteria customization module and sensor readings from the second sensor and send a notification when the sensor readings indicate that the asset crosses a sensor reading threshold;

a sensor reading anomaly criteria customization module configured to receive information relating to allowable sensor readings from the remote user computing devices and to create sensor reading anomaly criteria comprising sensor reading limits and to transmit them to the sensor anomaly module; and

a dashboard module configured to display a time-period data summary on the remote user computing device detailing information associated with the asset position over a set period of time and to display a route summary on the remote user computing device detailing compliance with the sensor reading thresholds over the time period.

2. The system of claim 1, wherein the asset information includes graphics for display on the map as part displaying the data from the positioning sensor.

3. The system of claim 1, wherein the second sensor is a temperature sensor.

4. The system of claim 1, wherein the sensor reading anomaly criteria comprise multiple tiered thresholds, wherein crossing a lower tier threshold triggers anomaly logging, crossing a higher tier threshold triggers notifications to one or more recipients, and crossing a highest tier threshold triggers notifications to multiple recipients and instructions for one or more of the recipients to take predetermined actions.

5. The system of claim 4, wherein the second sensor is a temperature sensor, wherein the lower tier threshold comprises a first temperature reading, the higher tier threshold comprises a second temperature reading higher than the first temperature reading, and the highest tier threshold comprises a third temperature reading higher than the second temperature reading, wherein the instructions comprise instructions for a driver to inspect and/or discard goods being shipped on the asset.

6. The system of claim 5, wherein at least one of the multiple tiered thresholds further comprises a time duration, such that the threshold is not considered to have been crossed unless an associated temperature reading is exceeded for at least the time duration.

7. The system of claim 6, wherein the received sensor reading anomaly criteria are functions of a type of the asset to be tracked and/or a type of load to be transported on the asset.

8. The system of claim 5, wherein the one or more sensors further comprise additional temperature sensors, wherein the temperature sensor and additional temperature sensors are installed at different locations on the asset and the installation locations are recorded, wherein one or more locations where temperature-sensitive goods are located on the asset are recorded, at least one of which is not an installation location for one of the temperature sensors, wherein the thresholds relate to determined temperature at the locations of the temperature-sensitive goods, wherein the sensor reading anomaly module is further configured to interpolate temperature readings at the locations of the temperature-sensitive goods based on sensor readings from the temperature sensors and the recorded locations of the temperature sensors and the temperature-sensitive goods.

9. The system of claim 1, wherein the sensor reading anomaly module is further configured to determine a cause of sensor reading anomalies by determining whether various factors are correlated with detected sensor reading anomalies, the various factors including environmental conditions at the position of the asset, persons controlling the asset, other sensor readings on the asset, asset type, and/or asset equipment type and/or status, when the detected sensor reading anomalies occurred.

10. The system of claim 1, wherein the sensor reading anomaly criteria customization module is further configured to record the information relating to allowable sensor readings as a template associated with an asset type and/or asset contents, and to automatically use the stored template to automatically create sensor reading anomaly criteria for other assets of the same asset type and/or having the same asset contents without further user input.

11. A method, comprising:

installing one or more sensors on an asset to be tracked, wherein the sensors comprise a positioning sensor and a second sensor;

transmitting data wirelessly from the sensors to a remote central computing device;

processing the data, associating it with a date/time of generation, and storing the data in a database;

receiving a request for some of the data from a remote user computing device;

transmitting the requested data to the remote user computing device;

displaying the requested data on the remote user computing device, including displaying data from the positioning sensor overlaid on a map to indicate a position of the asset;

receiving asset information from the remote user computing device and associating it with the asset;

receiving sensor reading anomaly criteria and sending a notification when the data indicates that asset sensor readings cross a sensor reading threshold;

receiving information relating to allowable sensor readings from the remote user computing device to create sensor reading anomaly criteria comprising sensor reading thresholds;

displaying a time-period data summary on the remote user computing device detailing information associated with the asset location over a set period of time; and

displaying a route summary on the remote user computing device detailing compliance with the sensor reading limits over the time period.

12. The method of claim 11, wherein the asset information includes graphics for display on the map as part displaying the data from the positioning sensor.

13. The method of claim 11, wherein the second sensor is a temperature sensor.

14. The method of claim 11, wherein the sensor reading anomaly criteria comprise multiple tiered thresholds, wherein crossing a lower tier threshold triggers anomaly logging, crossing a higher tier threshold triggers notifications to one or more recipients, and crossing a highest tier threshold triggers notifications to multiple recipients and instructions for one or more of the recipients to take predetermined actions.

15. The method of claim 14, wherein the second sensor is a temperature sensor, wherein the lower tier threshold comprises a first temperature reading, the higher tier threshold comprises a second temperature reading higher than the first temperature reading, and the highest tier threshold comprises a third temperature reading higher than the second temperature reading, wherein the instructions comprise instructions for a driver to inspect and/or discard goods being shipped on the asset.

16. The method of claim 15, wherein at least one of the multiple tiered thresholds further comprises a time duration, such that the threshold is not considered to have been crossed unless an associated temperature reading is exceeded for at least the time duration.

17. The method of claim 16, wherein the received sensor reading anomaly criteria are functions of a type of the asset to be tracked and/or a type of load to be transported on the asset.

18. The method of claim 15, wherein the one or more sensors further comprise additional temperature sensors, wherein the temperature sensor and additional temperature sensors are installed at different locations on the asset and the installation locations are recorded, wherein one or more locations where temperature-sensitive goods are located on the asset are recorded, at least one of which is not an installation location for one of the temperature sensors, wherein the thresholds relate to determined temperature at the locations of the temperature-sensitive goods, further comprising interpolating temperature readings at the locations of the temperature-sensitive goods based on sensor readings from the temperature sensors and the recorded locations of the temperature sensors and the temperature-sensitive goods.

19. The method of claim 11, further comprising determining a cause of sensor reading anomalies by determining whether various factors are correlated with detected sensor reading anomalies, the various factors including environmental conditions at the position of the asset, persons controlling the asset, other sensor readings on the asset, asset type, and/or asset equipment type and/or status, when the detected sensor reading anomalies occurred.

20. The method of claim 11, further comprising recording the information relating to allowable sensor readings as a template associated with an asset type and/or asset contents, and automatically using the stored template to automatically create sensor reading anomaly criteria for other assets of the same asset type and/or having the same asset contents without further user input.