Enterprise iot system for onboarding and maintaining peripheral devices

A method for establishing and supporting a user Internet of Things (“IoT”) system, the method being performed by a central IoT hub run on a user's personal computing device, the user being employed in a line of business (“LOB”) in a company, the method comprising:

• detecting user devices in electronic communication with the central IoT hub;
• assessing the user devices for conformance with baseline security protocols and performance characteristics;
• onboarding, to the user IoT system, user devices determined to be in conformance with the baseline security protocols and performance characteristics, each of the onboarded user devices being an IoT node on the user IoT system and being associated with a device identifier;
• monitoring enterprise data to pre-emptively identify and address probable failures of the IoT nodes prior to failure of the IoT nodes, the monitoring including, for each IoT node on the user IoT system:
• periodically requesting, from an enterprise error database, error messages generated from devices associated with the IoT node's device identifier;
• applying a machine learning model to error messages received from the enterprise database to extract a first subset of error messages, the error messages in the first subset being generated by devices associated with an employee employed in the LOB;
• in response to the identification of a threshold number of first error messages in the first subset, pulling from the enterprise error database a first remediation routine built to address the first error messages, wherein the first error messages are a group of identical error messages;
• and
• transmitting to the IoT node the first remediation routine and instructions to run the first remediation routine, wherein the transmission is performed prior to transmission of the first error message from the IoT node to the IoT hub;
• and
• addressing known failures for each IoT node on the user IoT system by:
• receiving from the IoT node a second error message, the second error message having been generated by the IoT node and indicating a failure of the IoT node;
• pulling, from the enterprise error database, second error messages generated by devices associated with the same device identifier as the IoT node, wherein the pulled second error messages are identical to the second error message generated by the IoT node;
• applying the machine learning model to the pulled error data to extract a second subset of error messages from the pulled error data, the second error messages in the second subset having been generated by devices associated with an employee employed in the LOB;
• transmitting a first query to the enterprise error database to return a second remediation routine built to address the second error messages in the second subset;
• when first query returns a second remediation routine, transmitting the second remediation routine extracted by the first query to the IoT node together with instructions to run the second remediation routine;
• when the first query returns a null value, transmitting a second query to the enterprise error database to return a second remediation routine built to address the second error messages in a third subset of error messages, the third subset including the pulled second error messages less the second subset of error messages;
• and
• when second query returns a second remediation routine, transmitting the second remediation routine extracted by the second query to the IoT node together with instructions to run the second remediation routine.

A method for establishing and supporting a user Internet of Things (“IoT”) system, the method being performed by a central IoT hub run on a user's personal computing device, the method comprising:

• detecting user devices in electronic communication with the central IoT hub;
• assessing the user devices for conformance with baseline security protocols and performance characteristics, wherein the assessing the user devices includes:
• accessing a job description of the user stored in a central database;
• and
• identifying the baseline security protocols and the performance characteristics, the baseline security protocols and performance characteristics being associated with the job description in the central database;
• onboarding, to the user IoT system, user devices determined to be in conformance with the baseline security protocols and performance characteristics, each of the onboarded user devices being an IoT node on the user IoT system and being associated with a device identifier;
• and
• monitoring enterprise data to pre-emptively identify and address probable failures of the IoT nodes prior to failure of the IoT nodes, the monitoring including, for each IoT node on the user IoT system:
• periodically requesting, from an enterprise error database, error messages generated from devices associated with the IoT node's device identifier;
• applying a machine learning model to error messages received from the enterprise database to extract a first subset of error messages, the error messages in the first subset being generated by devices positioned at a geospatial location that is within a predetermined distance of the IoT node;
• in response to the identification of a threshold number of first error messages in the first subset, pulling from the enterprise error database a first remediation routine built to address the first error messages, wherein the first error messages are a group of identical error messages;
• and
• transmitting to the IoT node the first remediation routine and instructions to run the first remediation routine, wherein the transmission is performed prior to receipt transmission of the first error message from the IoT node to the IoT hub.