Industrial cloud data safety automatic production line based on dynamic clonal selection algorithm

• Main Authors: Chen Lei, Wang Weikai, Ding Yongsheng, Hao Kuangrong, Ren Lihong
• Format: Patent
• Language: Chinese; English
• Published: 17.08.2016
• Subjects: CALCULATING; CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION ORPROCESSING OF GOODS; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS; TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE

The invention relates to an industrial cloud data safety automatic production line based on the dynamic clonal selection algorithm, especially to an industrial automatic production line with industrial cloud data safety storage and high-efficient calculating framework based on dynamic clonal selection algorithm. Bulk production data acquired from an industrial site are packed and input to a cloud data center, and improved data safety protection based the dynamic clonal selection algorithm is applied in a memory block. When a calculating block extracts corresponding stored data according to a user's request, only the request is sent to a control node to extract corresponding data self sets which enter into the memory block to be matched. For external access, read and write of data are allowed after passing authentication if the obtained data self sets completely match with the self sets memorized in a memory block server. Memory detector matching is conducted if the previous matching process fails, data access