The invention provides a cloud system for analyzing shopping habits based on a trolley and a base station. The system comprises a terminal, service terminals, a base station and a trolley with an electronic lock, the terminal is in communication connection with the server through HTTP (S). The plurality of base stations are distributed in a shopping cart taking area, a supermarket shopping area and a shopping cart returning area; the base station is all in communication connection with the service terminals through Socket. The electronic lock installed on the handcart with the electronic lockis connected with the base station through WIFI, GPRS, 4G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G and 5G. The LORA, the NBiot, the Bluetooth or the NFC connection is realized; the server side monitors the trolley with the electronic lock through the base station; the beneficial effects of the invention are that: the method is suitable for industrial production; technique maturation stabilization, the system is reasonable in framework, stable and convenient to operate and low in cost, the supermarket shopping carts are managed in a server-base station-electronic lock mode, data collection, analysis and processing of a cloud system are combined, the consumption desire of consumers and the recognition degree of the supermarket can be improved, and powerful help can be provided forthe supermarket to know customer requirements, optimize commodity layout and increase the turnover.