Establishing and optimizing an integrated central heating information monitoring and energy conservation system can not only help reduce the waste of resources, but also allow us to identify and solve the instability and safety problems in the heating process, and thus this system is of certain research value. Existing automated heating equipment fail to truly monitor and regulate heating due to various reasons like the lack of comprehensive parameter measurement and serious hydraulic imbalance of the system. To this end, this paper studies the design and implementation of an integrated central heating information monitoring system for smart cities. First, the big data of central heating temperature monitoring in smart cities was reconstructed, and then three different central heating regulation modes were introduced. The experimental results verified the effectiveness of the proposed algorithm. With an example of central heating monitoring shown, the energy efficiency analysis results regarding the energy conservation optimization of the system were given.