In　recent　years,　the　rapid　development　of　Internet　of　Things　(IoT)　technology　has　greatly　advanced　research　in　the　field　of　structural　health　monitoring.　IoT　sensors　equipped　with　microprocessors　have　the　ability　to　process　and　analyze　the　collected　data　in　real　time,　which　reduces　the　data　transmission　for　structural　health　monitoring　and　eases　the　burden　of　data　analysis　and　processing　in　the　monitoring　system.　This　study　proposes　a　novel　IoT　device　for　cable　force　monitoring　and　identification　that　incorporates　4　G　and　edge　computing　technologies.　The　IoT　device　is　developed　and　designed　based　on　Raspberry　Pi　4B　and　includes　a　screen,　a　4　G　module,　an　acceleration　data　acquisition　card,　and　a　power　supply　module.　To　diagnose　the　status　of　the　tension　cable,　the　IoT　device　embeds　the　frequency　domain　decomposition　(FDD)　method　and　the　vibration-based　cable　force　identification　method.　By　collecting　and　analyzing　the　acceleration　signals　of　the　bridge　cable,　the　health　status　of　the　cable　can　be　continuously　monitored　and　evaluated.　This　paper　provides　a　detailed　description　of　the　hardware　design　of　the　IoT　device,　the　FDD　method　and　the　cable　force　identification　method.　The　accuracy　and　feasibility　of　the　IoT　cable　force　identification　device　is　verified　through　experimental　studies　conducted　in　the　laboratory.　In　addition,　a　comparison　is　made　between　the　data　collected　by　the　traditional　acquisition　system　and　the　microelectromechanical　system　(MEMS)　sensor.　The　experimental　results　show　that　the　IoT　device　can　accurately　identify　the　cable　force　with　lower　cost　and　higher　convenience.