Bayesian　network　can　effectively　deal　with　uncertain　reasoning　and　realize　data　statistical　analysis,　and　it　has　been　widely　used　in　current　power　system　research.　Because　of　its　strong　logic　and　fast　data　processing,　Bayesian　networks　have　great　advantages　in　solving　the　faults　caused　by　the　uncertainty　and　relevance　of　complex　systems.　The　construction　and　operation　and　maintenance　of　the　power　Internet　of　Things　are　faced　with　various　uncertainties.　In　order　to　improve　the　ability　of　the　power　Internet　of　things　to　deal　with　various　uncertain　and　unexpected　factors,　a　Bayesian　network-based　reliability　evaluation　model　of　the　power　Internet　of　things　is　established.　This　model　integrates　the　level　indicator　reliability　requirements　of　the　perception　layer,　network　layer,　platform　layer　and　application　layer　of　the　power　Internet　of　Things,　and　establishes　a　Bayesian　network　node　and　network　structure　containing　its　threat　factors.　In　addition,　the　Bayesian　probability　solution　method　is　used　to　describe　the　reliability　level,　and　quantitatively　analyze　the　failure　and　accident　consequences　of　the　power　Internet　of　Things.　From　this,　it　is　possible　to　assess　the　emergency　response　level　of　the　power　Internet　of　Things　to　formulate　corresponding　risk　response　methods,　to　curb　any　power　Internet　of　Things　security　incidents　at　the　source　in　the　future,　and　to　increase　the　security　construction　and　operation　and　maintenance　of　the　power　Internet　of　Things.　©　COPYRIGHT　SPIE.　Downloading　of　the　abstract　is　permitted　for　personal　use　only.