<p>With the widespread application of location-based services (LBS), the issue of location privacy protection has garnered increasing attention. To address the challenge of balancing service quality and privacy protection in existing LBS privacy protection algorithms, this paper proposes a location privacy protection scheme based on Hyperledger Fabric. By leveraging user collaboration probability indistinguishability, the scheme ensures service quality while significantly enhancing privacy protection capabilities. Specifically, the proposed scheme utilizes the multi-channel feature of Hyperledger Fabric to design a multi-channel privacy protection algorithm, effectively addressing the issues of single points of failure and data misuse in centralized architectures. By integrating distributed K-anonymity techniques with blockchain technology, a novel user collaboration probability indistinguishability algorithm is introduced, which effectively resists homogeneity attacks and background knowledge attacks. Theoretical analysis and simulation experiments validate the effectiveness of the proposed scheme. Experimental results demonstrate that the scheme achieves efficient protection of user location privacy while maintaining service quality and exhibits strong resistance to various attacks.</p>