Design of Data Automatic Monitoring System Based on Sensor Technology
In order to more accurately grasp the environmental data of important places,an environmental monitoring system based on sensor technology is proposed.Among them,STM32 is used as the main control chip for environmental collection,and wind speed sensors,light intensity sensors,etc.are used as collection units to collect environmental data of important places;Then,based on the collected air quality data,an improved genetic algorithm air quality prediction model is constructed to improve the prediction function of the entire monitoring system.The results show that compared with other optimization methods,the PSO-GA optimization algorithm in this study can achieve the optimal fitness faster;In terms of prediction model performance,compared with the pre im-proved prediction model and other prediction models,the designed SVM air quality prediction model based on the improved genetic al-gorithm has smaller prediction errors,with MSE and R2 evaluation indicators of 4.5*10-5 and 99.11％,respectively.The above results indicate that the designed environmental data monitoring system for important places can better achieve environmental monito-ring and can be used in practical scenarios.
万方数据
维普
