This study proposes an enhanced initial orbit determination algorithm utilizing dynamic threshold distance search methods to improve success rates and accuracy compared to traditional algorithms. By dynamically adjusting the search threshold, the algorithm aims for more precise and efficient initial orbit determination, addressing current needs for tracking space objects. Testing is conducted using measured angular data from Low Earth Orbit (LEO), Medium Earth Orbit (MEO), and Geosynchronous (GEO) objects.The methodology begins with a detailed exploration of the dynamic threshold distance search algorithm's implementation. Drawing on extensive data processing experience, dynamic thresholds are strategically integrated into the orbit screening phase of the initial orbit parameter quality control process. A comprehensive breakdown of the algorithm's implementation is provided, highlighting its intricacies and operational nuances. Evaluation of the Initial Orbit Determination (IOD) parameters is performed using Two Line Elements (TLE) derived from angular data across various orbital zones. Rigorous testing is conducted using angular data from the Zhulong Observation Network for low to medium orbit targets and from the Changchun Observatory, Chinese Academy of Sciences for GEO objects. The results indicate impressive success rates for initial orbit determination, with approximately 94% for LEO, 75% for MEO, and 89% for GEO objects. Additionally, the algorithm shows mean semi-major axis errors of about 9, 12, and 50 km for LEO, MEO, and GEO objects, respectively. In conclusion, the proposed algorithm demonstrates high applicability, achieving significant success rates and exceptional orbit determination accuracy. These findings highlight the algorithm's effectiveness in leveraging monitoring data for precise and reliable initial orbit determination processes.