Edible oil package safety performance detection management system based on big data

Abstract

The invention discloses an edible oil package safety performance detection management system based on big data. The system comprises a package sealing detection module, a package body acquisition module, a package body analysis module, a package weight detection module, a package sampling module, an axial pressure-bearing detection module, a circumferential pressure-bearing detection module, a remote control center, an analysis server and a storage database. In the invention, sealing performance, a volume and weight of the edible oil package are detected; qualified packages of edible oil are screened, and unqualified edible oil packages are returned to a factory to be packaged again; and simultaneously, through random sampling, an axial pressure bearing value and a circumferential pressurebearing value of an edible oil package sample are detected, an axial pressure bearing force influence coefficient and a circumferential pressure bearing force influence coefficient are calculated, the pressure bearing force of the edible oil package is analyzed, economic losses caused by package damage due to excessive extrusion of the edible oil package are avoided, and the safety performance ofthe edible oil package is guaranteed.

Description

technical field [0001] The invention relates to the field of food packaging safety detection, and relates to a big data-based edible oil packaging safety performance detection management system. Background technique [0002] Edible oil is a necessity in people's daily life, and it is also an area where food safety issues frequently occur in recent years. From the quality of edible oil itself to the safety of packaging, various negative news have been broadcast one after another, making consumers panic. At present, edible oils on the domestic market are generally packaged in plastic bottles, replacing bulk edible oils, providing consumers with convenience and speed. [0003] At present, there are problems that cannot be ignored in the safety performance testing of edible oil plastic bottle packaging. The traditional packaging safety performance testing adopts the artificial naked eye inspection method, and the plastic bottle packaging of edible oil is manually placed upside d...

AI Technical Summary

Problems solved by technology

[0003] At present, there are problems that cannot be ignored in the safety performance testing of edible oil plastic bottle packaging. The traditional packaging safety performance testing adopts the artificial naked eye inspection method, and the plastic bottle packaging of edible oil is manually placed upside down to observe whether the bottle mouth is penetrated, and the accuracy is not high. , it is impossible to detect the tightness of the edible oil packaging, and it is easy to cause the edible oil to deteriorate in the plastic bottle due to poor sealing. At the same time, it is impossible to judge the safety performance of the edible oil packaging according to the axial pressure and circumferential pressure of the edible oil packaging. The packaging of edible oil was over-extruded when hoarding goods, resulting in damage to the packaging. In order to solve the above problems, the present invention designs a safety performance detection and management system for edible oil packaging based on big data

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