LIGHTING INFRASTRUCTURE AND REVENUE MODEL
In one example, a computing device is configured to process data received in relation in relation to a lighting infrastructure application framework. An example computing device comprises a memory and a processor coupled to the memory configured with processor-executable instructions to perform operations comprising: receiving data reported by a plurality of lighting node platform devices within the lighting infrastructure application framework; processing the received data by at least one of analyzing or aggregating the received data; detecting an occurrence of at least one of a plurality of predefined events based on the processing of the data; identifying a trend within the received data based on the processing of the data; and predicting an event in advance based on the processing of the data.
1 . A computing device configured to process data received in relation to a lighting infrastructure application framework, the computing device comprising:
a memory; and
a processor coupled to the memory, wherein the processor is configured with processor-executable instructions to perform operations comprising:
receiving data reported by a plurality of lighting node platform devices within the lighting infrastructure application framework;
processing the received data by at least one of analyzing or aggregating the received data,
detecting an occurrence of at least one of a plurality of predefined events based on the processing of the data;
identifying a trend within the received data based on the processing of the data; and
predicting an event in advance based on the processing of the data.
2 . A method for a computing device to process data received in relation to a lighting infrastructure application framework, the method comprising:
receiving data reported by a plurality of lighting node platform devices within the lighting infrastructure application framework;
processing the received data by at least one of analyzing or aggregating the received data;
detecting an occurrence of at least one of a plurality of predefined events based on the processing of the data;
identifying a trend within the received data based on the processing of the data; and
predicting an event in advance based on the processing of the data.
3 . A non-transitory processor-readable storage medium having stored thereon processor-executable software instructions configured to cause a processor to perform operations for processing data received in relation to a lighting infrastructure application framework, the operations comprising:
receiving data reported by a plurality of lighting node platform devices within the lighting infrastructure application framework;
processing the received data by at least one of analyzing or aggregating the received data;
detecting an occurrence of at least one of a plurality of predefined events based on the processing of the data;
identifying a trend within the received data based on the processing of the data; and
predicting an event in advance based on the processing of the data.
4 . The non-transitory processor-readable storage medium of claim 3 , wherein the stored processor-executable software instructions are configured to cause the processor to perform operations further comprising transmitting messages reporting the processing of the data.
5 . The non-transitory processor-readable storage medium of claim 3 , wherein the stored processor-executable software instructions are configured to cause the processor to perform operations further comprising transmitting commands based on at least one of the received data and the processing of the data, wherein the commands include at least one of software, scripts, and configuration data.
6 . The non-transitory processor-readable storage medium of claim 5 , wherein the commands include operating instructions for sensors associated with the plurality of lighting node platform devices.