Simulation of sensor data in streaming:
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data_simulator_iDA_v1: Simulates real-time sensor data events, bringing the possibility of sending them directly to an Azure Event Hub (must be configured previosuly).
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data_simulator: Simulates sensor data containing failures, specially designed for predictive maintenance studies by means of classification algorithms. The script generates data from 7 sensors, with similar characteristics to the turbofan sensors provided by NASA and usually utilized in predictive maintenance models. Data are saved in a file and then can be sent to an Azure Event Hub (must be configured previosuly).
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data_simulator_to_file: Similar to data_simulator but as a python file, just saving simulated data into a .csv file and showing them on screen, emulating a data streaming operation at a specified frequency.