面向大众导航应用场景的高精度高可靠定位已成为当前研究热点，精密单点定位（PPP）完好性监测可以为与生命安全密切相关的导航应用提供严格完好性保障的绝对定位误差界限。然而，大众导航应用场景下，受低成本接收机双频观测数据受限以及局部遮挡环境影响，所引入的危险误导信息将导致精密单点定位的可靠性受到挑战，使得完好性监测的可用性降低。为此，基于多重假设解分离理论提出了单双频非差非组合精密单点定位完好性监测方法，通过建立面向大众导航应用场景下的威胁模型以抑制危险误导信息，同时最大化利用观测数据改善卫星几何分布，以提升完好性监测的可用性。最后，分别设计基于低成本ublox接收机的静态实验及局部遮挡环境下的动态实验。实验结果表明，所提精密单点定位完好监测方法构建的保护水平可形成绝对定位误差界限，并且在局部遮挡的动态环境下可有效地抑制危险误导信息的产生，并具有更高的可用性。

High precision and high reliability positioning for general-purpose mass navigation applications has become a research hotspot. Integrity monitoring of Precise Point Positioning (PPP) can provide tightly integrity guaranteed absolute position error bounds for safety-critical applications. However, due to the observation quality of low-cost receivers and the effects of local occlusion in the general-purpose navigation application environment, hazard misleading information will challenge the reliability of PPP and reduce the availability of integrity monitoring. In this paper, a solution separation-based integrity monitoring algorithm is proposed based on a single and dual frequency undifferenced and uncombined PPP model. By establishing a threat model for general-purpose navigation application scenarios to suppress dangerous misleading information. Meanwhile, observation data are used to improve satellite geometric distribution, so as to improve the availability of integrity monitoring. Finally, the static experiment based on low-cost ublox receiver and dynamic experiment under local occlusion environments are designed. The results show that the proposed algorithm can produce adequate protection level, which can form the tightly guaranteed position error bounds. Moreover, the proposed algorithm can effectively suppress misleading information in the dynamic local occlusion environment, and has higher availability.