Equipped　with　the　emerging　cloud　computing,　clients　prefer　to　outsource　the　increasing　number　of　Industrial　Internet　of　things　(IIoT)　data　to　cloud　to　reduce　the　high　storage　and　computation　burden.　However,　existing　searchable　encryption　(SE)　schemes　just　apply　to　IIoT　records　containing　textual　keyword　fields　rather　than　both　digital　and　textual　keyword　ones.　Besides,　the　key　management　issue　still　impedes　the　practicality　and　availability　of　SE　schemes　due　to　high　key　storage　overhead.　To　this　end,　we　present　an　outsourced　Hybrid　Keyword-Field　Search　over　encrypted　data　with　efficient　Keys　Management　(HKFS-KM)　scheme　by　utilizing　the　relevance　score　function　and　keyed　hash　tree.　Formal　security　analysis　proves　that　the　HKFS-KM　scheme　can　achieve　keyword　privacy　and　trapdoor　unlink-ability　in　both　known　ciphertexts　attack　model　and　known　background　attack　model.　Experimental　results　using　real-world　dataset　show　its　efficiency　and　practicality　in　practice.