Design of the self-diagnosis and data collection functions for an indoor light control system

OData support
Supervisor:
Dr. Kiss Bálint
Department of Control Engineering and Information Technology

The intelligent light control system, located in a room equipped for this purpose

at the Department of Control Engineering and Information Technology gives its users the

ability to remotely set a desired light level. The light control system adjusts the

illumination of the given room to the level set by the user by controlling the LED light

sources and getting feedback from the sensors, thus also eliminating the effect of

disturbance light sources. In this BSc thesis, I am going to extend this system with a selfdiagnostic

feature.

The self-diagnosis module has been written in C++, and can be executed on an

Arduino board. The major factors at the selection of the method were the time constants

of the illumination sensors, the noise tolerance, and the configurability to the

experimental room.

I also implemented and integrated a data logging feature into the system. This

allows the recording of various signals from the sensors (measured illumination and

presence), and the control values of the LED panels. Furthermore, this logging system is

able to log the results of the self-diagnosis tests.

The principal consideration during the design of the database model behind the

data logging feature was to reduce the amount of the redundant data, and that the model

remain easily extensible.

A web interface for the database has been also designed and realized to display

the saved records. The users can visualize data in form of tables in general, but some

selected signals can be also represented in the form of charts.

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