Regular　on-site　inspection　is　crucial　for　promptly　detecting　faults　in　water　supply　networks　(WSNs)　and　auxiliary　facilities,　significantly　reducing　leakage　risks.　However,　the　fragmentation　of　information　and　the　separation　between　virtual　and　physical　networks　pose　challenges,　increasing　the　cognitive　load　on　inspectors.　Furthermore,　due　to　the　lack　of　real-time　computation　in　current　research,　the　effectiveness　in　detecting　anomalies,　such　as　leaks,　is　limited,　hindering　its　ability　to　provide　immediate　and　direct-decision　support　for　inspectors.　To　address　these　issues,　this　research　proposes　a　mixed　reality　(MR)　inspection　method　that　integrates　multi-source　information,　combining　building　information　modeling　(BIM),　Internet　of　Things　(IoT),　monitoring　data,　and　numerical　simulation　technologies.　This　approach　aims　to　achieve　in　situ　visualization　and　real-time　computational　capabilities.　The　effectiveness　of　the　proposed　method　is　demonstrated　through　case　studies,　with　user　feedback　confirming　its　feasibility.　The　results　indicate　improvements　in　inspection　task　performance,　work　efficiency,　and　standardization　compared　to　traditional　mobile　terminal-based　methods.