From the perspective of engineering application, LoRa wireless transmission system is required to have the characteristics of low system power consumption, short transmission distance and good system stability. Therefore, optimizing the matching parameters in its design is the key way to improve LoRa transmission performance. In this paper, aiming to achieve the lowest energy consumption, the longest transmission distance and the strongest system robustness of the LoRa wireless communication, the effective values of parameters such as SF, BW and CR are considered as the constraint condition, and the linear weighting method is adopted to convert the multi-objective optimization problem to a single-objective problem so as to work out the optimal solution. The simulation and actual test results show that the genetic algorithm applied to LoRa parameter matching is feasible and effective.