The invention discloses a method for multi-point sensing and intelligent controlling of the temperature of a gas heating furnace. The method comprises the following steps: firstly, temperature sensors evenly distributed in a natural gas heating furnace detects the temperature of each point in the heating furnace in a synchronous, real-time and continuous manner; then, an input interface and a data acquisition card transmit the detected temperature signals to an industrial control computer; the industrial control computer calculates, analyzes, and stores the temperature difference between eachpoint and the change rate of the temperature differences through a system control software on a real-time basis, and calculates the integrated temperature in the heating furnace on a real-time basis;finally, whether the temperature of the furnace reaches the set value is judged, and treatment is carried out according to three conditions including reaching the set value, falling short of the set value, and approaching the set value, respectively. The invention can synchronously sense multi-point temperatures in a natural gas heating furnace, display furnace temperature change curves and temperature differences among areas on a real-time basis, and store the temperature change curves of each area in a database on a continuous and real-time basis. The invention adopts a fuzzy-neural networkmethod to adjust each area temperature intelligently, thereby improving the quality of heavy forgings.