Against the backdrop of globalization and informatization, the rapid development of the energy industry, including oil and natural gas, has led to an increasing demand for wellhead equipment. However, safety issues associated with wellhead equipment have consistently been a crucial factor limiting its development. This paper elucidates the significance of wellhead equipment testing technology, investigates the current research status both domestically and internationally, analyzes the developmental trends in detection technology, and explores the challenges and corresponding strategies. Currently, wellhead equipment detection technology faces challenges related to safety, economic viability, and standardization. The adoption of a comprehensive detection approach involving sensor technology, signal processing techniques, and machine learning algorithms can effectively enhance the accuracy and real-time capabilities of wellhead equipment detection. With the development of wellhead equipment detection technology, it becomes possible to monitor and manage the entire lifecycle of the equipment, providing robust support for the sustainable development of the oil, natural gas, and other energy industries. The research outcomes not only contribute to enhancing the operational safety of wellhead equipment but also offer valuable insights for technological innovation and development in related fields.