The　continuous　increase　of　carbon　emissions　is　a　serious　challenge　all　over　the　world,　and　many　countries　are　striving　to　solve　this　problem.　Since　2020,　a　widespread　lockdown　in　the　country　to　prevent　the　spread　of　COVID-19　escalated,　severely　restricting　the　movement　of　people　and　unnecessary　economic　activities,　which　unexpectedly　reduced　carbon　emissions.　This　paper　aims　to　analyze　the　carbon　emissions　data　of　30　provinces　in　the　2020　and　provide　references　for　reducing　emissions　with　epidemic　lockdown　measures.　Based　on　the　method　of　time　series　visualization,　we　transform　the　time　series　data　into　complex　networks　to　find　out　the　hidden　information　in　these　data.　We　found　that　the　lockdown　would　bring　about　a　short-term　decrease　in　carbon　emissions,　and　most　provinces　have　a　short　time　point　of　impact,　which　is　closely　related　to　the　level　of　economic　development　and　industrial　structure.　The　current　results　provide　some　insights　into　the　evolution　of　carbon　emissions　under　COVID-19　blockade　measures　and　valuable　insights　into　energy　conservation　and　response　to　the　energy　crisis　in　the　post-epidemic　era.