Abstract: A second-life battery-based super multi-objective energy management method for a smart community microgrid, including: establishing a residual life decay model of the second-life battery based on a residual charge and discharge cycle number; establishing a super multi-objective energy management model based on residential energy consumption costs, the residual life decay model of the second-life battery, residential electricity consumption behaviors, and impacts of residential community load on an electricity distribution system; recording state information of the second-life battery in the smart community; collecting residential electricity consumption information in the smart community, and predicting a renewable energy output value of the smart community; and solving the super multi-objective energy management model by using a NSGA-III algorithm combining with the state information of the second-life battery and the renewable energy output value.

Abstract: The present invention relates to an aflatoxin-detection device. The aflatoxin-detection device includes a flow path for a test solution and a plurality of nanocompo site strips disposed within the flow path. Each nanocomposite strip of the plurality of nanocomposite strips is arranged in a spaced parallel relationship with a successive nanocomposite strip of the plurality of nanocomposite strips. The plurality of nanocomposite strips exhibit high affinity for aflatoxin. Absorption of aflatoxin induces fluorescence of the plurality of nanocomposite strips. Responsive to a fluorescence intensity of each nanocomposite strip of the plurality of nanocomposite strips, a concentration of aflatoxin in the test solution is determined.