Abstract: To improve the safe and reliable operation of deep drilling equipment under extreme working conditions, this study focuses on high-end drilling equipment that integrates automated execution, digital control, multi-source sensing, and high-reliability design. A cloud-edge-end collaborative intelligent operation and maintenance (O&M) architecture is developed. The proposed architecture consists of four modules, namely the drilling equipment module, the data acquisition module, the intelligent O&M module, and the digital twin module. A data workflow based on MQTT and Kafka is designed. A data modeling strategy is established through hierarchical topic classification and message schema specification. An edge-side feature reporting mechanism and a cloud-side on-demand data acquisition mechanism are further introduced to cope with network conditions characterized by low bandwidth, high latency, and intermittent connectivity. The architecture supports multi-source data access, unified deployment across multiple drilling sites, and remote visualization and interaction. It meets the requirements of equipment condition monitoring, fault diagnosis, and predictive maintenance, and provides a systematic reference for the design and implementation of intelligent O&M platforms for high-end drilling equipment.