The application belongs to the technical field of
water quality safety intelligent monitoring, and discloses a single smell substance intelligent detection and self-checking
system based on an electronic
nose sensor array and multi-source information cooperation, which comprises an electronic
nose sensor array module (containing a
geosmin specificity sensor, a dimethyl isochroman specificity sensor and a
dimethyl trisulfide specificity sensor), a multi-parameter monitoring module, a
machine learning data processing module and a result output module; the multi-parameter monitoring module collects the dissolved
oxygen consumption rate, pH value,
conductivity and
water temperature of water bodies in real time; and the
machine learning data processing module establishes a dynamic correlation model of the single smell substance concentration and characteristic parameters through a
machine learning
algorithm. The application effectively solves the false positive misjudgment problem under the interference of a
complex matrix, improves the detection accuracy to more than 95%, and has a
concentration prediction error of less than or equal to 5%, thereby providing reliable
technical support for the prevention and control of single smell
pollution in drinking water,
surface water and other water bodies.