With the continuous advancement of technology

intelligent building systems have been widely applied in construction projects. However

the cost of intelligent building is influenced by multiple factors

and the investment varies greatly. This paper deeply analyzes the influencing factors of the cost of intelligence building through the mutual verification of data such as questionnaires

interviews

and on-site investigations with cost data

aiming to provide theoretical support and practical guidance for relevant units and practitioners. This analysis contributes to effective control of the cost of intelligence building

thereby improving the investment and operational efficiency of intelligence building.