Food safety sampling detection device

Abstract

The invention, which belongs to the technical field of food safety detection, discloses a food safety sampling detection device comprising a pesticide detection module, a brittleness detection module,a nitrate detection module, a formaldehyde detection module, a main control module, an extraction module, a smashing module, a safety evaluation module, a detection data storage module, and a displaymodule. The pesticide detection module carries out multi-item detection on food residual pesticides. The processing is simple and the cost is low. Meanwhile, with the safety evaluation module, the extracted sample has the scientific representation to fill the blank of classified sampling of national food based on comprehensive evaluation. After reasonable food layering, unequal-probability sampling is carried out and thus the sampling calculation base becomes scientific, so that the food sampling method is more effective by being compared with the existing random food sampling method.

Description

technical field [0001] The invention belongs to the technical field of food safety detection, and in particular relates to a food safety sampling detection device. Background technique [0002] Food safety refers to food that is non-toxic and harmless, meets proper nutritional requirements, and does not cause any acute, subacute or chronic harm to human health. According to the definition of food safety by Benoy, food safety is "the public health problem that poisonous and harmful substances in food affect human health". Food safety is also an interdisciplinary field that focuses on ensuring food hygiene and food safety in the process of food processing, storage, and sales, reducing hidden dangers of disease, and preventing food poisoning, so food safety is very important. However, the existing food safety sampling testing equipment to measure the amount of pesticide residues is cumbersome and consumes manpower and material resources. At the same time, the reliability of th...

AI Technical Summary

Problems solved by technology

[0004] (1) The method of measuring pesticide residues by existing food safety sampling and testing equipment is cumbersome and consumes manpower and material resources; at the same time, the reliability of the existing extraction method is insufficient, and the test results will be greatly affected and cannot be accurately reflected Overall Food Quality and Safety Status

[0005] (2) In the prior art, when the sound detector detects the sound characteristics of the food sample when it is crushed and judges the food crispness data, the discontinuity of the hard threshold function will cause the signal to oscillate, and the soft threshold function will cause the signal to be high if the soft threshold function is too smooth. The frequency information is lost, and the characteristic peak point information of the original signal cannot be retained, which improves the distortion of the signal

[0007] (4) In the process of processing different types of detection data, the current data processing algorithm reduces the local search ability of the K-means algorithm and reduces the convergence speed, which cannot effectively prevent the occurrence of premature phenomena and cannot achieve better results. The convergence effect of

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