IoT contextually-aware digital twin with enhanced discovery

A system for generating a contextually-aware digital twin of a first building comprising:

• one or more processors;
• and
• a memory storing computer-readable instructions that, when executed by the one or more processors, configure the one or more processors to:
• receive received information about an asset comprising one or more Internet of Things (IoT) devices residing in one or more physical spaces associated with the first building;
• construct from the received information a graph representation of each of the assets for the first building;
• discover a discovered IoT device connected to an associated network using a first communication protocol;
• translate, from the first communication protocol to a translated communication protocol, discovered information about the discovered IoT device;
• normalize the discovered information across at least one of a first plurality of manufacturers and a second plurality of models before communicating with a cloud platform;
• communicate with the cloud platform via the translated communication protocol for further processing;
• detect, in response to the communicating, a pattern for providing a recommendation on a second building, wherein the recommendation is indicative of at least one operational setting of the discovered IoT device and wherein the first and second buildings are different;
• determine from the translated discovered information whether the discovered IoT device is stored in the graph representation of the first building;
• when the discovered IoT device is not stored in the graph representation, identify a discovered point, a discovered controller, and a discovered location associated with the discovered IoT device;
• and
• modify the graph representation to include the discovered point, the discovered controller, the discovered location, and the associated network.

A non-transitory machine-readable storage medium comprising machine-readable instructions for causing a processor to execute a method of generating a contextually-aware digital twin of a first building comprising:

• receiving, by a computing device, received information about an asset comprising one or more Internet of Things (IoT) devices residing in one or more physical spaces associated with the first building;
• constructing from the received information, by the computing device, a graph representation of each of the assets for the first building;
• discovering a discovered IoT device connected to an associated network using a first communication protocol;
• translating, from the first communication protocol to a translated communication protocol, discovered information about the discovered IoT device;
• normalizing the discovered information across at least one of a first plurality of manufacturers and a second plurality of models before communicating with a cloud platform;
• communicating with the cloud platform via the translated communication protocol for further processing;
• detecting, in response to the communicating, a pattern for providing a recommendation on a second building, wherein the recommendation is indicative of at least one operational setting of the discovered IoT device and wherein the first and second buildings are different;
• determining from the translated discovered information whether the discovered IoT device is stored in the graph representation of the first building;
• when the discovered IoT device is not stored in the graph representation, identifying a discovered point, a discovered controller, and a discovered location associated with the discovered IoT device;
• and
• modifying the graph representation to include the discovered point, the discovered controller, the discovered location, and the associated network.