In a function control method, a function trigger event is monitored, the function trigger event having a preset correspondence with function configuration information; when the function trigger event is monitored, the function configuration information corresponding to the function trigger event is retrieved; and a second device is controlled to perform a specified function triggered by the function trigger event based on the function configuration information.

In a function control method, a function trigger event is monitored, the function trigger event having a preset correspondence with function configuration information; when the function trigger event is monitored, the function configuration information corresponding to the function trigger event is retrieved; and a second device is controlled to perform a specified function triggered by the function trigger event based on the function configuration information.

The present invention provides an IoT data trading system including: a data transport unit capable of sending data to a predetermined counterparty; a data transaction unit that executes a trading contract of data; and an IoT device that provides IoT data, wherein the data transaction unit instructs, based on a buy offer of the IoT data issued from a predetermined account and a sell offer issued from an account of the IoT device, the data transport unit to send the IoT data from the IoT device to a data provider which owns the account from which the buy offer is issued, and imparts a monetary value of the sent IoT data to the account of the IoT device.

The present invention provides an IoT data trading system including: a data transport unit capable of sending data to a predetermined counterparty; a data transaction unit that executes a trading contract of data; and an IoT device that provides IoT data, wherein the data transaction unit instructs, based on a buy offer of the IoT data issued from a predetermined account and a sell offer issued from an account of the IoT device, the data transport unit to send the IoT data from the IoT device to a data provider which owns the account from which the buy offer is issued, and imparts a monetary value of the sent IoT data to the account of the IoT device.

A method for automatically training a machine learning system to detect and identify a sensor triggering event associated with an internet of things (IoT) device is provided. The method may include capturing sensor data and capturing sound clips associated with the IoT device. The method may further include identifying the sensor triggering event associated with the IoT device. The method may further include sending an alert of the identified sensor triggering event. The method may also include correlating the captured sensor data, the captured sound clips, and the identified sensor triggering event. The method may further include identifying a second sensor triggering event by determining similarities between the correlated data associated with the identified sensor triggering event and additional sensor and sound data that is captured based on the second sensor triggering event.

A method for automatically training a machine learning system to detect and identify a sensor triggering event associated with an internet of things (IoT) device is provided. The method may include capturing sensor data and capturing sound clips associated with the IoT device. The method may further include identifying the sensor triggering event associated with the IoT device. The method may further include sending an alert of the identified sensor triggering event. The method may also include correlating the captured sensor data, the captured sound clips, and the identified sensor triggering event. The method may further include identifying a second sensor triggering event by determining similarities between the correlated data associated with the identified sensor triggering event and additional sensor and sound data that is captured based on the second sensor triggering event.

Aspects of the disclosure relate to computing hardware and software for IoT event processing. A computing platform may monitor communication between an initiating IoT device and a service provider IoT device to detect an event processing request. The computing platform may extract, from the event processing request, event features. The computing platform may feed the event features into a deep learning engine, which may produce a smart contract corresponding to the event processing request. The computing platform may identify, using a distributed ledger, whether the event features comply with the smart contract. Based on identifying that the event features do comply with the smart contract, the computing platform may send, to an event processing system, authorization to process the event processing request, which may cause the event processing system to transfer funds from an initiating user to the service provider.

Aspects of the disclosure relate to computing hardware and software for IoT event processing. A computing platform may monitor communication between an initiating IoT device and a service provider IoT device to detect an event processing request. The computing platform may extract, from the event processing request, event features. The computing platform may feed the event features into a deep learning engine, which may produce a smart contract corresponding to the event processing request. The computing platform may identify, using a distributed ledger, whether the event features comply with the smart contract. Based on identifying that the event features do comply with the smart contract, the computing platform may send, to an event processing system, authorization to process the event processing request, which may cause the event processing system to transfer funds from an initiating user to the service provider.

A computer system is provided which includes a sensor system and a processor. The sampling rate of the sensor system is not predetermined, and instead depends on the acquisition rate of the algorithm acquiring the data stream provided by the sensor system. A corresponding method is also provided.

A computer system is provided which includes a sensor system and a processor. The sampling rate of the sensor system is not predetermined, and instead depends on the acquisition rate of the algorithm acquiring the data stream provided by the sensor system. A corresponding method is also provided.