Forging-heat treatment process data processing method based on E-R relation model

Forging-heat treatment process data processing method based on E-R relation model

According to the forging-heat treatment process data processing method based on the E-R relation model, the task relation model is analyzed based on the designed E-R relation graph, tasks of all task sets are arranged in a layered mode to be subjected to distributed processing, whether the forging-h...

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Hauptverfasser: ZHANG GAOYUAN, HE SUCHEN, JI BAOFENG, WANG YI, MAO FENG, LIU JIANGHUI, HAO QINGLE, ZANG WEIJIE, YU HUA, ZHANG GUOSHANG, ZHAO CHANGWEI, TAO FAZHAN, HUANG KAIZHI, LI CHUNGUO, SHI RUXING, ZHANG GUANXING, PENG XIANLONG, WEI SHIZHONG, LIU YONG, WEN HONG, LIU SHAOXUN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:According to the forging-heat treatment process data processing method based on the E-R relation model, the task relation model is analyzed based on the designed E-R relation graph, tasks of all task sets are arranged in a layered mode to be subjected to distributed processing, whether the forging-heat treatment process is an existing data process or a complex optimization process condition is determined, and the processing efficiency is improved. Carrying out hot working process design and treatment by considering different parameter settings; the operation quality and the data entry and processing efficiency of the forging-heat treatment whole-process hot working process can be remarkably improved, and the most common forging-heat treatment process data distribution and resource scheduling in the whole process of the hot working process are solved; the problems that the compiling and inputting efficiency of existing forging-heat treatment hot working process quality data, historical data and standard data i