Since　the　number　of　bridges　in　China　keeps　increasing　and　some　bridges　with　the　damage　problems　brought　by　the　age　of　are　gradually　taken　into　account,　thus　the　health　monitoring　of　bridges　becomes　much　more　important.　Based　on　the　research　of　China＇s　intelligent　sensing　materials　in　the　past　decade,　this　paper　summarizes　the　function　of　common　sensing　devices　in　crack　pattern　recognition,　rust　expansion　monitoring,　damage　identification,　curing　shrinkage　strain,　and　fatigue　damage　monitoring,　and　clarifies　the　feasibility　of　new　monitoring　technologies　in　practical　engineering.　It　is　also　cited　that　the　advantages　and　working　principles　of　two　data　treatment,　wavelet　analysis　and　Long-term　and　short-term　memory　neural　network,　applied　in　the　field　of　bridge　health　monitoring.　The　results　show　that　intelligent　sensing　material　and　signal　analysis　technology　has　a　wide　application　prospect　in　the　future　bridge　surveillance　work　because　of　its　good　working　performance.　This　paper　can　provide　some　reference　for　the　application　of　intelligent　sensing　and　signal　analysis　technology　in　the　information　of　bridge　health　monitoring.　©　2024　SPIE.