The low-altitude intelligent network， as a new type of productivity， has facilitated the rapid development of the low-altitude economy. However， the widespread application of unmanned aerial vehicles （UAVs） has posed significant challenges for airspace regulation. This paper mainly focuses on the performance analysis of two potential UAV flight regulation technologies applied to the low-altitude intelligent network： Automatic dependent surveillance-broadcast （ADS-B） and remote identification （Remote ID）. Firstly， we systematically introduce the basic mechanisms of ADS-B and Remote ID. Then， based on current technical standards， theoretical transmission distances of these two technologies are analyzed， and methods for evaluating positioning accuracy are defined. We build ADS-B and Remote ID experimental systems that meet performance requirements， estimate the actual transmission distances through measured signal strength， and measure the positioning accuracy of latitude， longitude， and altitude， as well as the packet loss rate. Through the analysis of the measured data， this paper comprehensively evaluates practical application effects of ADS-B and Remote ID in low-altitude intelligent network for the first time. Results show that ADS-B outperforms Remote ID in terms of transmission range and positioning accuracy， while Remote ID performs better in altitude positioning. In terms of communication stability， ADS-B provides stable reception over long distances， while Remote ID performs well in short-range scenarios. Finally， the future development directions of UAV regulation technology are discussed， and solutions for optimizing transmission distance， coverage range， positioning accuracy， and packet loss rate are proposed.