The multidimensional analysis engine data management platform is constructed using big data distributed storage and parallel computing,data warehouse modeling technology,realizing the optimal management and instant qu...The multidimensional analysis engine data management platform is constructed using big data distributed storage and parallel computing,data warehouse modeling technology,realizing the optimal management and instant query of distributed oil and gas production dynamic big data.The centralized management and quick response of the production data of more than 36×10^4 oil,gas and water wells is realized.Multidimensional analysis subject model of oil,gas and water well production is built to pretreat the relevant data.At the level of China National Petroleum Corporation(CNPC),the rapid analysis and applications such as oil and gas production tracking,early production warning of key oilfields,analysis of low production wells and long shutdown wells,classification of reservoir development laws have been realized,and the processing time has been shortened from 1 d to 5 s.The basic unit of oil and gas production analysis is refined from oilfield to single well,making the production management more detailed.The process can be traced step by step according to CNPC,oil field company,field,block and single well,and the oil and gas production performance of each unit can be mastered in real time.展开更多
目的:分析即食海蜇生产过程中造成产品微生物污染的因素,进而确定造成微生物污染的主要原因,制定预防污染的加工方案。方法:通过对即食海蜇生产工艺中人、机、料、环等关键环节采样进行菌落总数测定,得到各环节菌落总数及不同阶段的繁...目的:分析即食海蜇生产过程中造成产品微生物污染的因素,进而确定造成微生物污染的主要原因,制定预防污染的加工方案。方法:通过对即食海蜇生产工艺中人、机、料、环等关键环节采样进行菌落总数测定,得到各环节菌落总数及不同阶段的繁殖情况。结果:脱盐浸泡池的微生物环境污染最为严重,平均菌落总数为4.11 lg CFU·mL^(-1),脱盐清洗后的海蜇丝平均菌落总数为3.05 lg CFU·g^(-1)原料中的调味液平均菌落总数为2.94 lg CFU·mL^(-1),人员、器具、车间环境也有一定程度微生物污染。结论:为确保产品质量,有必要定期对浸泡池清理消毒、更换池水。对调料原料和车间环境菌落总数定期监控,对脱盐清洗后的海蜇丝增加杀菌工艺关键控制点,同时加强生产车间的卫生管理和规范操作。展开更多
基金Supported by the China National Science and Technology Major Project(2016ZX05016-006).
文摘The multidimensional analysis engine data management platform is constructed using big data distributed storage and parallel computing,data warehouse modeling technology,realizing the optimal management and instant query of distributed oil and gas production dynamic big data.The centralized management and quick response of the production data of more than 36×10^4 oil,gas and water wells is realized.Multidimensional analysis subject model of oil,gas and water well production is built to pretreat the relevant data.At the level of China National Petroleum Corporation(CNPC),the rapid analysis and applications such as oil and gas production tracking,early production warning of key oilfields,analysis of low production wells and long shutdown wells,classification of reservoir development laws have been realized,and the processing time has been shortened from 1 d to 5 s.The basic unit of oil and gas production analysis is refined from oilfield to single well,making the production management more detailed.The process can be traced step by step according to CNPC,oil field company,field,block and single well,and the oil and gas production performance of each unit can be mastered in real time.
文摘目的:分析即食海蜇生产过程中造成产品微生物污染的因素,进而确定造成微生物污染的主要原因,制定预防污染的加工方案。方法:通过对即食海蜇生产工艺中人、机、料、环等关键环节采样进行菌落总数测定,得到各环节菌落总数及不同阶段的繁殖情况。结果:脱盐浸泡池的微生物环境污染最为严重,平均菌落总数为4.11 lg CFU·mL^(-1),脱盐清洗后的海蜇丝平均菌落总数为3.05 lg CFU·g^(-1)原料中的调味液平均菌落总数为2.94 lg CFU·mL^(-1),人员、器具、车间环境也有一定程度微生物污染。结论:为确保产品质量,有必要定期对浸泡池清理消毒、更换池水。对调料原料和车间环境菌落总数定期监控,对脱盐清洗后的海蜇丝增加杀菌工艺关键控制点,同时加强生产车间的卫生管理和规范操作。