A Computational Intelligence Application for Environmental Measurements by a DSP-Based Smart Web-Sensor

In this paper the authors propose an intelligent and stand-alone measurement instrument for environmental monitoring and control applications. By an embedded computational intelligence technique, the instrument can acquire and test data according to available information. The projected system consists in a smart Web-sensor sensing the electromagnetic field exposure levels. The sensor equipment includes an isotropic magnetic field transducer, a GPRS modem, a DSP platform and an interface display. In details, the realized measurement system is able to process acquired signals by performing mathematical algorithms in order to verify the conformity with the law exposure limits and to characterize possible alarm occurrences. The data processing stage is qualified by a further power-spectrum analysis, that allows to get information in the frequency domain on the electromagnetic field spectral components. Information regarding the operating status of sensor is stored in an internal embedded memory, so keeping trace on its metrological characterization. In this way the built-in knowledge on the integrity of acquired data is used to guarantee the reliability of the computational process