Encoding and transmitting sensor data in low power broadcasts

1 . A computerized method, performed by a computing system having one or more hardware computer processors and one or more non-transitory computer readable storage device storing software instructions executable by the computing system to perform the computerized method comprising:

receiving a plurality of observation stats each associated with a peripheral from a plurality of centrals, each of the observation stats including a geographic location of the central when a broadcast from the peripheral was received and at least one of the observation stats including sensor data embedded in the broadcast;

for ones of the observation stats:

estimating a proxy location of the peripheral based on a corresponding geographic location of the central from which the observation stat was received; and

associating the sensor data with the proxy location;

monitoring the sensor data to determine if an alert condition is met; and

in response to detecting the alert condition, triggering an alert identifying the alert condition and the proxy location of the peripheral when the alert condition was met.

2 . The computerized method of claim 1 , wherein the sensor data is embedded in a Tag-Length-Value (TLV) structure of the broadcast.

3 . The computerized method of claim 2 , wherein at least one of the observation stats includes a coded value in a Service UUID field indicating a type of data included in the TLV structure that follows the Service UUID field.

4 . The computerized method of claim 1 , wherein the alert condition is based on a threshold value of the sensor data.

5 . The computerized method of claim 4 , wherein the threshold value is dynamically adjustable based on historical data trends.

6 . The computerized method of claim 1 , further comprising:

transmitting the alert to a user device or monitoring system for further action.

7 . The computerized method of claim 1 , wherein the sensor data includes sensor data associated with a physical asset and indicating one or more of:

tire pressure;

tank level;

accelerometer data;

door monitor status;

GPS position recorded by the peripheral,

voltage level;

current level; or

panic button status.

8 . The computerized method of claim 1 , further comprising:

using machine learning algorithms to analyze one or more of the sensor data or the geographic location for anomaly detection.

9 . The computerized method of claim 1 , wherein the proxy location is determined using a triangulation algorithm based on geographic locations from multiple centrals.

10 . The computerized method of claim 1 , further comprising:

encrypting the sensor data and geolocation data before transmission.

11 . The computerized method of claim 2 , wherein the TLV structure includes a unique signature or timestamp to facilitate deduplication of data on a backend.

12 . The computerized method of claim 1 , further comprising:

generating a visual representation of the proxy location and associated sensor data on a map interface for user monitoring and analysis.

13 . The computerized method of claim 1 , wherein at least one of the centrals is a satellite central.

14 . The computerized method of claim 2 , wherein a first tag indicates that the following TLV includes a quantity of sensor data values available for upload to the backend, wherein if the quantity of sensor data values exceeds a threshold the receiving central is configured to establish a connection with the peripheral to offload the sensor data values.

15 . The computerized method of claim 14 , wherein the first tag is included in one or more broadcasts from the peripheral when an internal memory of the peripheral reaches a threshold.

16 . A method for enhancing the reach and reliability of an asset tracking network using satellite centrals, comprising:

receiving observation stats directly from a satellite central that observes broadcasts from terrestrial peripherals, even in remote or hard-to-reach areas where terrestrial centrals may not be available;

combining observation stats from both terrestrial and satellite centrals to enhance the overall coverage and accuracy of geolocation data; and

processing the combined observation stats to provide a comprehensive solution for tracking and monitoring sensor data across diverse environments.

17 . The method of claim 16 , wherein the peripherals are configured to transmit low power broadcasts intended for observation by terrestrial centrals and higher power broadcasts intended for observation by satellite centrals.

18 . The method of claim 17 , wherein the peripherals are configured to alternate transmission of high and low power broadcasts.

19 . The method of claim 17 , wherein the peripherals are configured to transmit high power broadcasts less frequently than low power broadcasts.

20 . A computing system comprising:

a hardware computer processor; and

a non-transitory computer readable medium having software instructions stored thereon, the software instructions executable by the hardware computer processor to cause the computing system to perform operations comprising:

receiving a plurality of observation stats each associated with a peripheral from a plurality of centrals, each of the observation stats including a geographic location of the central when a broadcast from the peripheral was received and at least one of the observation stats including sensor data embedded in the broadcast;

for ones of the observation stats:

estimating a proxy location of the peripheral based on a corresponding geographic location of the central from which the observation stat was received; and

associating the sensor data with the proxy location;

monitoring the sensor data to determine if an alert condition is met; and

in response to detecting the alert condition, triggering an alert identifying the alert condition and the proxy location of the peripheral when the alert condition was met.