Self-Evaluation Configuration for Remote Data Logging Systems

The problem addressed in this work is the development of a technique for accurate estimation of the good operating condition of the core and the peripheral modules in data logging micro-processing systems, by means of current sensing. In such systems, which are often used in remote operating situations, a self-evaluation procedure is very useful. This procedure may provide vital information about the operating conditions of different sub-systems and modules, including both electronic systems and sensing instruments. These systems usually measure specific parameters, like temperature, pressure etc, by using a combination of sensors, A/D and D/A converters, memory modules, small processors and other miscellaneous modules. Energy measurements performed over a specific time period of several clock cycles determine the overall energy consumption parameters during specific execution of tasks or related to specific groups of instructions. The proposed configuration can be integrated in the system as a peripheral unit for the evaluation of the core and the system's peripherals, offering built-in self test ability to a low power system. Moreover, the information provided may prove useful in energy optimization procedures.