IOT SYSTEM FOR DETERMINING AND OPTIMIZING AN OPERATING PARAMETER

1 . A system for improving a state of a rider in a vehicle having a state of the vehicle including an operating state of the vehicle having at least one operating parameter of the vehicle, the vehicle configured to be occupied by the rider, wherein a state of the rider is based on the state of the vehicle, the vehicle located in an operating environment, the system comprising:

at least one Internet-of-Things device disposed in the operating environment of the vehicle, the at least one Internet-of-Things device to sense at least one of: a state of the rider, a state of the vehicle operating environment, or a state of the vehicle;

the at least one Internet-of-Things device to output data based on the sensed at least one of: the state of the rider, the state of the vehicle operating environment, or the state of the vehicle; and

an artificial intelligence system for processing the data output by the at least one Internet-of-Things device to determine a determined state of the vehicle and to improve the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

2 . The system of claim 1 , wherein the at least one Internet-of-Things device includes at least one of a temperature sensor, a humidity sensor, a light sensor, a sound sensor, a motion sensor, or a pressure sensor.

3 . The system of claim 1 , wherein the artificial intelligence system includes a machine learning model that is trained on historical data related to rider states and vehicle operating parameters.

4 . The system of claim 1 , wherein the artificial intelligence system is configured to adjust the at least one operating parameter of the vehicle in real-time based on the data output by the at least one Internet-of-Things device.

5 . The system of claim 1 , wherein the state of the rider includes at least one of: emotional state, physical comfort level, or cognitive state.

6 . The system of claim 1 , wherein the state of the vehicle operating environment includes at least one of: ambient temperature, cabin noise level, or lighting conditions.

7 . The system of claim 1 , wherein the at least one operating parameter of the vehicle includes at least one of: cabin temperature, seat adjustment, or entertainment system settings.

8 . The system of claim 1 , wherein the artificial intelligence system is further configured to learn rider preferences over time and automatically adjust the at least one operating parameter of the vehicle according to the learned rider preferences.

9 . The system of claim 1 , wherein the artificial intelligence system is further configured to communicate with other systems within the vehicle to coordinate adjustments to multiple operating parameters simultaneously.

10 . The system of claim 1 , wherein the artificial intelligence system utilizes a neural network to predict an impact of changes in the at least one operating parameter of the vehicle on the state of the rider.

11 . The system of claim 1 , wherein the artificial intelligence system is further configured to provide recommendations to the rider for manual adjustments to the at least one operating parameter of the vehicle.

12 . The system of claim 1 , wherein the artificial intelligence system is integrated with a vehicle control system to automatically implement changes to the at least one operating parameter of the vehicle.

13 . The system of claim 1 , wherein the at least one Internet-of-Things device is powered by an energy harvesting mechanism that derives power from the vehicle operating environment.

14 . The system of claim 1 , wherein the system further comprises a user interface through which the rider can provide feedback on the state of the rider, which is used by the artificial intelligence system to further refine the improvement of the at least one operating parameter of the vehicle.

15 . A system for improving a state of a rider in a vehicle, comprising:

the vehicle having a state of the vehicle including an operating state of the vehicle having at least one operating parameter of the vehicle;

the vehicle configured to be occupied by the rider, wherein a state of the rider is based on the state of the vehicle;

the vehicle disposed in an environment of the vehicle;

at least one Internet-of-Things device disposed in the environment of the vehicle, the at least one Internet-of-Things device to sense at least one of: a state of the rider, a state of the vehicle operating environment, or a state of the vehicle;

the at least one Internet-of-Things device to output data based on the sensed at least one of: the state of the rider, the state of the environment of the vehicle, or the state of the vehicle; and

an artificial intelligence system for processing the data output by the at least one Internet-of-Things device to determine a determined state of the vehicle and to optimize the at least one operating parameter of the vehicle to improve the state of the rider, wherein the artificial intelligence system is configured to optimize the at least one operating parameter of the vehicle to improve the state of the rider by executing a genetic algorithm to generate mutations from the determined state of the vehicle to determine at least one optimized vehicle operating state, wherein the optimized vehicle operating state includes the at least one operating parameter of the vehicle optimized to improve the state of the rider.

16 . The system of claim 15 , wherein the at least one Internet-of-Things device includes a camera configured to capture visual data indicative of the rider's facial expressions and body language to assess the state of the rider.

17 . The system of claim 15 , wherein the at least one Internet-of-Things device includes a biometric sensor configured to measure physiological data of the rider, including at least one of heart rate, skin temperature, and galvanic skin response.

18 . The system of claim 15 , wherein the artificial intelligence system is further configured to adjust the at least one operating parameter of the vehicle in response to real-time events detected in the environment of the vehicle, including at least one of traffic conditions, weather changes, or road type.

19 . The system of claim 15 , wherein the genetic algorithm utilized by the artificial intelligence system further considers historical data related to the rider's preferences and past responses to changes in vehicle operating parameters.

20 . The system of claim 15 , wherein the system further comprises a user interface through which the rider can manually override the optimized vehicle operating state determined by the artificial intelligence system.