2results about How to "Long-term efficient and stable operation" patented technology

The utility model discloses a double row tooth shock absorber technical field's a double row tooth shock absorber gear ring limit baffle, including shock absorber casing, the inside installation of shock absorber casing has double row gear, and the both ends of shock absorber casing are close to double row gear respectively and are provided with gear ring limit component, and the gear ring limit component includes limit baffle, and the one end of limit baffle is connected with output shaft, and the one end of limit baffle away from output shaft is provided with first connecting flange, the gear ring limit baffle of double row tooth shock absorber of this scheme design, through the structural design of baffle connecting cover and baffle adjusting groove, has realized the transition fit between limit baffle and shock absorber casing effectively, avoided the friction contact between limit baffle and double row gear, reduced the problem of excessive wear and heat accumulation, through the structural design of the sliding fit between sealing guide ring and annular guide groove, has further improved the stability of limit baffle, ensures that limit baffle does not occur position deviation under high -strength impact or vibration condition.

The application discloses a kind of multi-source data management method and device based on federal mechanism, belong to computer data processing technical field, it includes the local data of each data source node is collected and extracts semantic summary, is formed distributed data source register by consensus verification;Cross-source collaborative analysis request is received, and is parsed as non-cyclic directed task graph;According to task graph, query is executed locally in each node, and collaborative calculation is completed by encrypted shared intermediate result, generates final analysis result and task execution log;Analysis task execution log is generated for each node Dynamic credit score;According to credit score, update node weight to adaptively optimize the node selection of subsequent task.The application adopts the closed-loop management strategy that multi-source heterogeneous data is semantically abstracted, collaborative analysis request is parsed as execution task graph, dynamic credit score is generated in combination with task execution log and is adaptively optimized according to node selection, and cross-domain data collaborative analysis and management of safe, efficient and intelligent can be realized.