Abstract: Aiming at the problems such as insufficient real-time performance, low data accuracy and high prediction difficulty of wellbore support monitoring in deep coal mining, an intelligent monitoring technology system for wellbore support quality based on fiber Bragg grating sensing was proposed, and a series of technical experiments were carried out. The characteristics of the loose ring of the surrounding rock were obtained through the borehole peeking method. A distributed optical fiber sensing network was constructed to achieve synchronous monitoring of multiple parameters such as strain, temperature and displacement. A data integrated and unified optical fiber intelligent monitoring platform for wellbore support quality was developed. The key technical parameters of the hardware equipment that meet the functional requirements were determined, enabling real-time monitoring of wellbore support quality. It has promoted the practical application of intelligent monitoring technology for the support quality of coal mine shafts. The research results show that the system can monitor the deformation of the wellbore in real time, achieve multi-parameter fusion monitoring of the wellbore, and provide guidance for the dynamic optimization of the support scheme.