As part of the development of the smart grid, and based on the industry classification of known user loads, using massive user load data for load characteristics analysis can extract typical load characteristics of the industry and provide guidance for carrying out industry expansion installation and other distribution network planning. This can improve the intelligence level in power distribution. With this as background, to improve the efficiency of load characteristic analysis, a multi-dimensional load characteristic analysis simulation system based on massive data is designed. First, each functional module is designed for multi-dimensional load characteristics analysis. Secondly, we integrate multiple functions of load characteristic analysis in the system and describe its functions. Lastly, the interfaces of the developed system are introduced and illustrated. Overall, the system is developed based on the Java language, adopts micro-services and micro-application architecture, supports flexible expansion of all functions and fast data transmission and interaction between various functional blocks. It also facilitates the analysis of load characteristics based on massive data. In addition, the underlying algorithm can support multiple languages for development at the same time, and can quickly respond to computing needs. This work is supported by the Science and Technology Project of China Southern Power Grid Co., Ltd. (No. GDKJXM20172939).