Configuration of wearable sensors based on a sensors-as-a-service platform
Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.
1. A mobile device, comprising:
a processor;
a memory storing instructions; and
a transceiver,
wherein the processor executes the instructions to:
emit periodic electromagnetic pings to a wearable sensor, wherein:
the wearable sensor responds to at least one chemical, biological, or electromagnetic interaction with the wearable sensor,
the wearable sensor comprises a carbon-based sensor and,
the carbon-based sensor includes three-dimensional (3D) graphene;
receive electromagnetic responses from the wearable sensor in response to the periodic electromagnetic pings;
process the electromagnetic responses to determine sensor data;
transmit the sensor data to a sensors-as-a-service platform;
receive, from the sensors-as-a-service platform, a sensor upgrade for the wearable sensor, wherein the sensor upgrade includes additional sensor capabilities, wherein the sensor upgrade adds detection capabilities for a new type of analyte that was not among the detection capabilities by the wearable sensor prior to receiving the sensor upgrade;
transmit the sensor upgrade to the wearable sensor to update capabilities of the wearable sensor; and
receive subsequent electromagnetic responses from the wearable sensor corresponding to updated sensor data based on the additional sensor capabilities.
2. The mobile device of claim 1 , wherein the 3D graphene layer is biofunctionalized with a molecular recognition element configured to alter one or more electrical properties of the 3D graphene layer in response to exposure to an analyte.
3. The mobile device of claim 2 , wherein the molecular recognition element is a biological material configured to selectively bind with the analyte.
4. The mobile device of claim 1 , wherein the wearable sensor comprises a resonator sensor.
5. The mobile device of claim 4 , wherein the resonator sensor includes a resonance portion configured to resonate at a first frequency in response to an electromagnetic ping when a state of a material associated with the resonator sensor exceeds a threshold, and configured to resonate at a second frequency in response to the electromagnetic ping when the state of the material is beneath the threshold.
6. The mobile device of claim 1 , wherein the wearable sensor is integrated within a label configured to be removably attached to a surface of a package or container.
7. The mobile device of claim 6 , wherein the label includes one or more carbon-based inks.
8. The mobile device of claim 1 , wherein the processor further executes the instructions to:
analyze the sensor data to determine if a predetermined condition is met; and
generate an alert if the predetermined condition is met.
9. The mobile device of claim 8 , wherein the predetermined condition comprises detection of a specific analyte above a threshold concentration.
10. The mobile device of claim 1 , wherein the sensor upgrade comprises updated firmware for the wearable sensor.
11. The mobile device of claim 1 , wherein the sensor upgrade comprises:
activation instructions that configure dormant sensing elements within the wearable sensor to detect the new type of analyte; and
activation of previously dormant sensing capabilities of the wearable sensor through modification of operational parameters to enable detection of the new type of analyte.
12. The mobile device of claim 1 , wherein the processor further executes the instructions to:
receive, from the sensors-as-a-service platform, a request for additional sensor data; and
adjust a frequency of the periodic electromagnetic pings in response to the request.
13. The mobile device of claim 1 , wherein the processor further executes the instructions to:
encrypt the sensor data prior to transmitting it to the sensors-as-a-service platform, and
transmit the sensor data to the sensors-as-a-service platform, and wherein the sensor upgrade is generated by the sensors-as-a-service platform based on analyzing aggregated sensor data from multiple wearable sensors to identify new types of analytes for detection.
14. The mobile device of claim 1 , wherein the processor further executes the instructions to aggregate sensor data from multiple wearable sensors before transmitting to the sensors-as-a-service platform.
15. The mobile device of claim 1 , wherein the additional sensor capabilities comprise detection of at least one additional analyte.
16. The mobile device of claim 1 , wherein the additional sensor capabilities comprise improved sensitivity for detecting at least one analyte.
17. The mobile device of claim 1 , wherein the processor further executes the instructions to:
receive, from the sensors-as-a-service platform, a command to modify an operational parameter of the wearable sensor; and
transmit the command to the wearable sensor.
18. The mobile device of claim 17 , wherein the operational parameter comprises at least one of: a sampling rate, a power consumption level, or a data transmission frequency.
19. The mobile device of claim 1 , wherein the processor further executes the instructions to:
continuously track a position of the wearable sensor relative to the mobile device; and
adjust a transmission power of the electromagnetic pings based on the tracked position.
20. The mobile device of claim 1 , wherein the processor further executes the instructions to:
detect a collision between electromagnetic pings from the mobile device and pings from another device; and
implement a collision avoidance protocol by adjusting a timing of subsequent electromagnetic pings.
21. The mobile device of claim 1 , wherein the processor further executes the instructions to:
determine a strength of the electromagnetic responses from the wearable sensor; and
dynamically adjust a frequency of the periodic electromagnetic pings based on the determined strength of the electromagnetic responses.
22. The mobile device of claim 1 , wherein the processor further executes the instructions to:
receive environmental data from external sources; and
modify characteristics of the electromagnetic pings based on the received environmental data to optimize sensor performance.
23. The mobile device of claim 1 , wherein the processor further executes the instructions to:
analyze patterns in the sensor data over time;
predict future sensor readings based on the analyzed patterns; and
adjust a ping frequency to capture data during predicted events of interest.
24. The mobile device of claim 1 , wherein the processor further executes the instructions to:
detect presence of interfering electromagnetic responses in a frequency range used for the electromagnetic pings; and
dynamically shift to an alternate frequency range for subsequent pings to avoid the interference.
25. The mobile device of claim 1 , wherein the sensor upgrade includes instructions for the wearable sensor to enter a power-saving mode between scheduled ping times, and wherein the electromagnetic pings include a wake-up signal to activate the wearable sensor from the power-saving mode.
26. The mobile device of claim 1 , wherein the processor further executes the instructions to:
receive user input specifying monitoring parameters; and
customize the periodic electromagnetic pings and data processing based on the user-specified monitoring parameters.
27. The mobile device of claim 1 , wherein the processor further executes the instructions to:
detect a sudden change in sensor readings exceeding a predetermined threshold;
increase a frequency of the electromagnetic pings in response to the detected change; and
return to a normal ping frequency after a specified time period or when sensor readings stabilize.
28. The mobile device of claim 1 , wherein the processor further executes the instructions to:
generate a spatial map of sensor readings based on multiple wearable sensors at different locations;
identify areas of interest from the spatial map; and
adjust ping frequencies or sensor configurations for wearable sensors in the identified areas of interest.