Abstract: Most heat-supply companies in China have completed their transition from manual operation to automated operation. Yet，their operation is incomplete due to the lack of comprehensive and quantitative understanding on heating information and energy saving potential of intelligent heating. In order to reduce operating costs and energy consumprion，a distributed intelligent heating system with smart operating platform as its core and electromechanical and control systems as its foundation has been built. By getting through all links in the data chain of a heating system and taking big data analysis as well as artificial intelligence algorithm，an intelligent heat-supply upgrading project for Zhuoda Shuxiang Garden in Shijiazhuang City was made. The optimization started from the load demand response on heat source side and the thermodynamic equilibrium on pipeline side. After the updating，the indoor temperature levelled off at 20.2℃ ，and the energy consumption reduced by 28%，compared to the previous year. The updating is of great energy-save effect，and can provide technical support for operation renovations of existing and new heating systems.

Key words: intelligent heating, intelligent operation platform, artificial intelligence algorithm, heating optimization, energy consumption, distributed heat supply, clean heat supply