In　recent　years,　with　the　rapid　development　of　blockchain　technology,　the　issues　of　storage　load　and　data　security　have　attracted　increasing　attention.　Due　to　the　immutable　nature　of　data　on　the　blockchain,　where　data　can　only　be　added　and　not　deleted,　there　is　a　significant　increase　in　storage　pressure　on　blockchain　nodes.　In　order　to　alleviate　this　burden,　this　paper　proposes　a　blockchain　data　storage　strategy　based　on　a　hot　and　cold　block　mechanism.　It　employs　a　block　heat　evaluation　algorithm　to　assess　the　historical　and　correlation-based　heat　indicators　of　blocks,　enabling　the　identification　of　frequently　accessed　block　data　for　storage　within　the　blockchain　nodes.　Conversely,　less　frequently　accessed　or　“cold”　block　data　are　offloaded　to　cloud　storage　systems.　This　approach　effectively　reduces　the　overall　storage　pressure　on　blockchain　nodes.　Furthermore,　in　applications　such　as　healthcare　and　government　services　that　utilize　blockchain　technology,　it　is　essential　to　encrypt　stored　data　to　safeguard　personal　privacy　and　enforce　access　control　measures.　To　address　this　need,　we　introduce　a　blockchain　data　encryption　storage　mechanism　based　on　threshold　secret　sharing.　Leveraging　threshold　secret　sharing　technology,　the　encryption　key　for　blockchain　data　is　fragmented　into　multiple　segments　and　distributed　across　network　nodes.　These　encrypted　key　segments　are　further　secured　through　additional　encryption　using　public　keys　before　being　stored.　This　method　serves　to　significantly　increase　attackers’　costs　associated　with　accessing　blockchain　data.　Additionally,　our　proposed　encryption　scheme　ensures　that　each　block　has　an　associated　encryption　key　that　is　stored　alongside　its　corresponding　block　data.　This　design　effectively　mitigates　vulnerabilities　such　as　weak　password　attacks.　Experimental　results　demonstrate　that　our　approach　achieves　efficient　encrypted　storage　of　data　while　concurrently　reducing　the　storage　pressure　experienced　by　blockchain　nodes.　©　2024　by　the　authors.