The　complex　industrial　process　is　consisted　of　multiple　loops　with　coupling　relation.　They　have　the　characteristics　of　strong　nonlinearity　and　non-stationary.　So　it　is　difficult　to　describe　them　with　precise　mathematical　models.　Thus,　the　design　of　control　systems　about　complex　industrial　process　mainly　relies　on　repeated　experiments　and　debugging　on　the　actual　system.　Moreover,　the　novel　operational　optimization　control　algorithms　cannot　directly　applied　to　the　operation　of　industrial　processes　in　terms　of　factors　like　safety　requirement　and　economic　cost.　Therefore,　it　is　necessary　to　build　simulation　platforms　of　complex　industrial　process　to　solve　these　issues.　In　order　to　construct　an　effective　simulation　platform,　a　review　on　different　simulation　platforms　is　made　in　this　paper.　The　existing　simulation　platforms　for　industrial　process　are　divided　into　four　categories.　They　are　real　control　system　and　real　controlled　object,　real　control　system　and　virtual　controlled　object,　virtual　control　system　and　real　controlled　object　and　virtual　control　system　and　virtual　controlled　object.　Then,　their　structure　and　application　background　are　analyzed　in　detail.　The　existing　problems　are　also　summarized.　Finally,　the　conclusion　and　prospect　of　simulation　platforms　for　industrial　process　are　given　out.　©　2021　IEEE.