The　process　control　system　of　the　municipal　solid　waste　incineration　(MSWI)　has　characteristics　of　closed　running　and　strict　safety　requirements.　The　key　problems　that　need　to　be　solved　for　the　actual　application　of　intelligent　modeling　algorithm　includes　how　to　realize　the　synchronization　production　of　the　offline　multi-modal　data　and　how　to　build　a　verification　environment　of　data-driven　prediction　model　like　the　actual　industry.　In　this　paper,　a　multi-modal　data-driven　verification　platform　for　MSWI　process　is　proposed,　which　consists　of　multimodal　historical　data　synchronization　subsystem　and　multimodal　historical　data-driven　modeling　subsystem.　First,　the　structure　of　the　simulating　real-time　verification　platform　is　designed　based　on　the　abstract　description　of　the　predicting　process　of　some　key　process　parameters　by　domain　experts.　Then,　multimodal　data-driven　prediction　models　for　the　furnace　temperature,　flue　gas　oxygen　content　and　boiler　steam　flow　are　established.　Finally,　the　hardware　environment　is　built　and　the　corresponding　software　system　is　developed.　Thus,　the　cooperative　operation　between　the　platform　subsystems　is　realized.　Based　on　the　actual　process　data　and　flame　video,　it　is　verified　that　the　platform　can　solve　the　problems　of　difficult　sampling,　synchronization　and　matching　in　the　construction　of　multi-modal　data　driven　prediction　models.　Moreover,　this　study　provides　a　reliable　engineering　verification　environment.　©2023　Chin.Soc.for　Elec.Eng.　4697.