Smart platform for stress reduction and sleep promotion
The present invention provides systems and methods for management and orchestration of a fleet of remote Internet-of-Things (IoT) devices. The present invention includes a platform for onboarding, provisioning, and managing remote IoT devices throughout their lifetime. The platform includes portals for manufacturers, vendors, and consumers to access device data and sensor data collected by the devices. The data collected by the portal is used to control the fleet of remote IoT devices as well as make recommendations, e.g., for sleep promotion and stress reduction.
1 . A system for management of remote devices for interfacing with sensors and temperature controllers of a sleep system and autonomously controlling a sleep surface of a user experiencing a sleep cycle in a sleep environment, the system comprising:
at least one remote server; and
at least one platform hosted on the at least one remote server, the at least one platform operable to communicate with at least one remote device in the sleep environment, each of the at least one remote device including a processor, storage, communications facilities, and a user interface, and each of the at least one remote device being in communication with sensors and at least one temperature controller of a sleep surface in the sleep environment;
wherein the at least one platform is operable to collect user data from the at least one remote device, the user data including physiological data that includes target sleep program data configurable via the user interface of the remote device, dynamic biosensor data from the sensors in the sleep environment, and dynamic sleep environment data including environmental sensor data from the sensors in the sleep environment;
wherein the at least one platform is further operable to determine sleep cycle parameters including temperature controller settings of the sleep system to achieve a sleep program target, wherein the at least one platform is operable to continuously update a dynamic virtual model of the sleep system according to dynamic sensor data of the user data to produce predicted values, and to compare those predicted values to the target sleep program data to determine the sleep cycle parameters; and
wherein the at least one platform is operable to remotely control the at least one remote device to set the temperature controller settings of the at least one temperature controller of the sleep surface.
2 . The system of claim 1 , wherein the sleep surface comprises a mattress, a mattress pad, a blanket, a pillow, bedding, and/or clothing.
3 . The system of claim 2 , wherein the sleep surface includes at least one interior chamber connected to the temperature controller, wherein the temperature controller is operable to pump a fluid into the at least one interior chamber of the sleep surface and receive the fluid from the at least one interior chamber.
4 . The system of claim 2 , wherein the at least one remote device is embedded in the at least one sleep surface.
5 . The system of claim 1 , wherein the at least one platform is operable to provision the at least one remote device for secure communications with the platform.
6 . The system of claim 1 , wherein the at least one platform includes a manufacturing portal and wherein the manufacturing portal is operable to provide tools for testing the at least one remote device.
7 . The system of claim 1 , wherein the at least one platform includes a product engineering portal and wherein the product engineering portal is operable to determine a status of the at least one remote device.
8 . The system of claim 1 , wherein the user data is collected by the at least one platform as metadata.
9 . The system of claim 1 , wherein the at least one platform is operable to collect the user data from the at least one remote device in real time.
10 . The system of claim 1 , wherein the at least one platform is operable to communicate with a plurality of remote devices;
wherein the plurality of remote devices are operable for network communication with each other;
wherein the at least one platform is operable to register each of the plurality of remote devices to at least one user account; and
wherein the at least one platform is operable to deliver over-the-air (OTA) updates to each of the plurality of remote devices.
11 . The system of claim 10 , wherein the at least one platform includes a simulation engine, and wherein the simulation engine is operable to create a plurality of virtual remote devices in a corresponding at least one virtual model.
12 . The system of claim 10 , wherein the at least one platform is operable to trace user requests from the plurality of remote devices and generate a visualization of traces.
13 . The system of claim 10 , wherein the at least one user account is a plurality of user accounts, and wherein the at least one platform is operable to create a user directory of the plurality of user accounts.
14 . The system of claim 10 , wherein the at least one platform is a multitenant platform.
15 . The system of claim 10 , wherein the at least one platform is operable to orchestrate interactions between the plurality of remote devices.
16 . The system of claim 10 , wherein the at least one platform is operable to use historical data to determine the sleep cycle optimized parameters.
17 . A method for managing remote devices for interfacing with sensors and temperature controllers of a sleep system and autonomously controlling a sleep surface of a user experiencing a sleep cycle in a sleep environment, the method comprising:
communicating, by a platform hosted on the at least one remote server, with a remote device in the sleep environment, the remote device being in communication with sensors and at least one temperature controller of a sleep surface in the sleep environment;
collecting user data, by the platform, from the remote device, the user data including physiological data that includes target sleep program data configurable via a user interface of the remote device, dynamic biosensor data from the sensors in the sleep environment, and dynamic sleep environment data including environmental sensor data from the sensors in the sleep environment;
executing, by the platform, a dynamic virtual model of the sleep system to produce predicted values, including continuously updating the virtual model according to dynamic sensor data of the user data,
comparing, by the platform, the predicted values to the target sleep program data,
determining, by the platform, sleep cycle parameters including temperature controller settings of the sleep system to achieve a sleep program target; and
remotely controlling, by the platform, the remote device to set the temperature controller settings of the at least one temperature controller of the sleep surface.