Abstract: An energy consumption monitoring and prediction system based on Lora transmission is designed for the energy consumption management of high energy consumption enterprises. The system as a whole is divided into two pieces: software and hardware. The hardware mainly consists of smart meter, Lora module and LoraWAN gateway. The smart meter collects the main energy consumption of the enterprise, and the Lora module accepts and transmits the collected data. Also, the platform server is mapped using a star topology network with the Lora-WAN gateway as the central node. The software uses a B/S architecture that is more suitable for enterprises. The landing system as a whole uses SpringBoot and Vue2 as the main framework, with Mybatis plus as the ORM framework, and uses Shiro for access control. The database selected for the system is MYSQL. In addition, a prediction model based on the APSO-LSTM algorithm was designed to predict the energy consumption value of the workshop for the large amount of energy consumption data generated in the workshop, which can provide a reference for enterprises to achieve cost saving and low carbon production. The test results show that the designed system has good visualization effects and high accuracy of energy consumption prediction, which has certain application value.