Edible oil product quality safety intelligent detection system based on big data

Abstract

The invention discloses an edible oil product quality safety intelligent detection system based on big data. The system comprises a storage environment parameter detection module, a parameter preprocessing module, a sampling acquisition module, a quality parameter detection module, a parameter analysis module, a parameter database, a cloud server, a remote control center and a display module. Thestorage environment parameter detection module and the quality parameter detection module are used for detecting environment parameters and quality parameters of the edible oil storage environment, incombination with the parameter analysis module, an edible oil environment influence index and a quality influence index are counted, meanwhile, different levels of environment treatment measures aretaken on the edible oil storage environment according to the environment influence index, edible oil quality safety can be effectively and rapidly detected in multiple aspects, detection efficiency and the intelligent degree are improved, quantitative display of the influence result of the storage environment parameters and the quality parameters on the edible oil quality is achieved, and relatedreference bases are provided for follow-up edible oil storage.

Description

technical field [0001] The invention relates to the technical field of edible oil quality detection, and relates to an intelligent detection system for the quality and safety of edible oil products based on big data. Background technique [0002] With the improvement of people's living standards, the requirements for food, clothing, housing and transportation in life are getting higher and higher, especially in terms of "eating". Edible oil is one of the ingredients that human beings must consume in daily life , it can provide human beings with necessary protein and oil. As a necessity in people's life, it is also an area where food safety problems frequently occur in recent years. It has brought serious safety hazards, so it is very important to the safety and quality inspection of edible oil. [0003] At present, the safety inspection method of edible oil is mainly to inspect the quality of edible oil by the food supervision department through naked eyes, including observ...

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Problems solved by technology

[0003] At present, the safety inspection method of edible oil is mainly to inspect the quality of edible oil by the food supervision department through naked eyes, including observing the color, transparency, sediment and other parameters of edible oil. The detection efficiency is low and the accuracy of manual naked eye inspection limited, and waste a lot of manpower. When necessary, the edible oil component identification is also carried out through corresponding testing instruments. The impact of its quality and safety, in view of this, the present invention designs a kind of edible oil product quality and safety intelligent detection system based on big data

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