The accuracy of temperature & humidity prediction directly affects indoor environmental control, and current predictions mainly focus on time modeling, lacking spatiotemporal modeling based prediction for distributed sensors installed in buildings. Therefore, this article proposes an indoor temperature and humidity prediction method based on spatiotemporal modeling and transfer learning of informer. A IOT platform is designed with 8 temperature & humidity integrated sensors in a public building.