The edge-cloud collaboration platform for intelligent coking monitoring of cracking furnace tubes includes an edge layer and a cloud layer, which can store and analyze big data, propose suggestions on optimization and improvement, and feed the suggestions back to the edge layer. The edge layer includes an intelligent temperature measuring device for an outer surface of a cracking furnace tube and/or an ethylene DCS/data acquisition device; the cloud layer includes a cracking furnace safety warning device, an intelligent coking diagnosis and prediction device for a cracking furnace tube, a hybrid job scheduling device, a multi-workflow scheduling device, a virtualized resource scheduling device, and a virtual resource optimization device; and the intelligent temperature measuring device for an outer surface of a cracking furnace tube includes an identification device for furnace tube and overlapped tube, and an abnormal data detection device.