The temperature field of indoor space is non-uniform

and the temperature measurements at different locations are usually different. The thermostat is usually installed on the wall near the door in air-conditioned room

and the measured temperature does not always represent the temperature of the working area. Moreover

the requirement in working area cannot be met under the room temperature is controlled with this measured value as feedback. In this paper

the effective draft temperatures of all the measuring points was obtained by setting multiple temperature and wind speed measuring points in the horizontal plane at different vertical heights in the air conditioned room. Then

the weighted fusion algorithm based on modified error learning was used to fuse and analyze the sampled data

and the indoor fusion effective draft temperature was obtained. The influence of the variation in air volume on the indoor effective draft temperature

indoor thermal comfort

and energy consumption of the air-conditioning system under the control of fusion effective draft temperature were studied. The experimental results show that at the height of 1.5 m

the effective draft temperature and air diffusion performance index of the measuring point was ?1.7 to 1.1 and 100%

respectively

when the design air supply volume was 70%

which could be the optimal sensor installation position.