Grand　sites　are　important　witnesses　of　human　civilization.　The　archeology　of　grand　sites　has　the　characteristics　of　a　long　period,　interdisciplinary　study,　irreversibility　and　uncertainties.　Because　of　the　lack　of　effective　methods　and　valid　tools,　large　amounts　of　archeological　data　cannot　be　properly　processed　in　time,　which　creates　many　difficulties　for　the　conservation　and　use　of　grand　sites.　This　study　provides　a　method　of　integrating　spatio-temporal　big　data　of　grand　sites,　including　classification　and　coding,　spatial　scales　and　a　spatio-temporal　framework,　through　which　the　integration　of　archeological　data　of　multiple　sites　or　different　archeological　excavations　is　realized.　A　system　architecture　was　further　proposed　for　an　archeological　information　cloud　platform　for　grand　sites.　By　providing　services　such　as　data,　visualization,　standardizations,　spatial　analysis,　and　application　software,　the　archeological　information　cloud　platform　of　grand　sites　can　display　sites,　ruins,　and　relics　in　2D　and　3D　according　to　their　correlation.　It　can　also　display　the　transformation　of　space　and　time　around　archeological　cultures,　and　restored　ruins　in　a　3D　virtual　environment.　The　platform　provides　increased　support　to　interdisciplinary　study　and　the　dissemination　of　research　results.　Taking　the　Origin　of　Chinese　Civilization　Project　as　a　case　study,　it　shows　that　the　method　for　data　aggregation　and　fusion　proposed　in　this　study　can　efficiently　integrate　multi-source　heterogeneous　archeological　spatio-temporal　data　of　different　sites　or　different　periods.　The　archeological　information　cloud　platform　has　great　significance　to　the　study　of　the　origin　of　Chinese　civilization,　dissemination　of　Chinese　civilization,　and　the　public　participation　in　archeology,　which　would　promote　the　sustainable　development　of　the　conservation　and　use　of　grand　sites.