With the development of intelligence in today’s society, APC Algorithm technology has also emerged in the computer industry, playing a very accurate role in monitoring various aspects. Now, due to the progress of the times, we can use APC Algorithm assisted sensors to monitor our lifting operations. Intelligent buildings are leading a new direction in the construction industry. In modern building construction, more and more buildings are committed to creating intelligent functions, but currently, lifting operations, as an important component of buildings, still lack the creation of intelligent functions. By comparing the performance of three deep learning model algorithms, Fast RCNN, SSD, and YOLO, this paper identifies a monitoring algorithm suitable for intelligent building lifting operations using APC Algorithm sensors for auxiliary monitoring, which can be used to solve monitoring problems in lifting operations. In order to achieve the people-oriented work goal, it is very important to monitor the safety of lifting operators in complex building environments through APC Algorithm monitoring algorithms. Experiments have shown that through APC Algorithm assisted monitoring, we can better regulate intelligent lifting operations and ensure the safety of workers. However, due to the insufficient comprehensiveness and diversity of the algorithms we study, further research is needed on the combination of APC Algorithm and algorithms.