Problem solving using selected datasets of internet-of-things system

A computer system for problem solving using selected datasets from an internet-of-things system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more computer-readable tangible storage media for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• designating a trigger device in an internet-of-things system, the internet-of-things system comprising the trigger device and internet-of-things devices;
• collecting and processing historical data to build and update a first machine learning model for analyzing received messages;
• receiving a first message from the designated trigger device, the first message comprising a word message received from a user of the trigger device;
• determining whether the received first message qualifies as a trigger message by submitting the received first message to the first machine learning model and receiving an output from the first machine learning model, the output indicating that the received first message qualifies as the trigger message in response to a determination that the received first message comprises an aberration from usual conditions based on the historical data;
• in response to determining that the received first message qualifies as the trigger message:
• determining a problem based on the received trigger message;
• determining whether selected household devices of the internet-of-things devices are saving respective individual device execution logs after the trigger message is received, the selected household devices being selected based on the determined problem;
• requesting data transmissions from the selected household devices;
• receiving data from the selected household devices via the data transmissions;
• ending the data transmissions;
• identifying a problem contributor by inputting the received data and the determined problem into a second machine learning model;
• generating a problem response for responding to the problem, wherein the generating the problem response comprises inputting the identified problem contributor to the second machine learning model;
• and
• performing the generated problem response, wherein the problem response comprises adjusting at least one of the selected household devices of the internet-of-things devices.

A computer program product for problem solving using selected datasets from an internet-of-things system, wherein the computer program product comprises a computer-readable storage medium having program instructions embodied therewith, wherein the program instructions are executable by a processor to cause the processor to perform a method comprising:

• designating a trigger device in an internet-of-things system, the internet-of-things system comprising the trigger device and internet-of-things devices;
• collecting and processing historical data to build and update a first machine learning model for analyzing received messages;
• receiving a first message from the designated trigger device, the first message comprising a word message received from a user of the trigger device;
• determining whether the received first message qualifies as a trigger message by submitting the received first message to the first machine learning model and receiving an output from the first machine learning model, the output indicating that the received first message qualifies as the trigger message in response to a determination that the received first message comprises an aberration from usual conditions based on the historical data;
• in response to determining that the received first message qualifies as the trigger message:
• determining a problem based on the received trigger message;
• determining whether selected household devices of the internet-of-things devices are saving respective individual device execution logs after the trigger message is received, the selected household devices being selected based on the determined problem;
• requesting data transmissions from the selected household devices;
• receiving data from the selected household devices via the data transmissions;
• ending the data transmissions;
• identifying a problem contributor by inputting the received data and the determined problem into a second machine learning model;
• generating a problem response for responding to the problem, wherein the generating the problem response comprises inputting the identified problem contributor to the second machine learning model;
• and
• performing the problem response, wherein the problem response comprises adjusting at least one of the selected household devices of the internet-of-things devices.