Method for controlling feed production online by means of near-infrared technology

Abstract

The invention relates to a quality control method in the feed production process, in particular to a method for controlling feed production online by means of a near-infrared technology. The method comprises the steps that a near-infrared probe is installed on a feed hopper of a feed production line; a near-infrared spectrograph detects near-infrared spectrum information of raw material components of feed in the feed hopper and content information of nutritional components of the feed in the feed hopper through the near-infrared probe; the near-infrared spectrograph sends the detected information to a computer with a formula system; the computer judges the quality of feed raw materials after comparing the information sent by the spectrograph with information in the formula system, and then the feed raw materials are classified and used according to the judging result. According to the method for controlling feed production online by means of the near-infrared technology, on-site lossless quick analysis on the raw materials, process products and final products which are related to the feed production process is achieved by means of the near-infrared spectral analysis technology, and the functions of multi-platform product information tracking, feeding process monitoring, product quality tracing, raw material formula optimizing and the like are supplied by taking network service as a platform.

Description

technical field [0001] The invention relates to a quality control method in the feed production process, in particular to a method for controlling feed production using near-infrared technology. Background technique [0002] In the current feed production and processing process, technicians design feed formulas based on the test results of laboratory raw materials or directly use relevant quality indicators recommended by the database and enterprise standards, and then organize production according to the formulas. The finished materials are sampled before leaving the factory for inspection. Ship directly to customers. This method has the following problems: 1. The detection of feed raw material quality indicators is limited, which reduces the utilization efficiency of feed raw materials and the accuracy of feed formula; The nutritional parameters of raw materials do not match the requirements of the formula; 3. Problems with equipment and processes cannot be found in time,...

AI Technical Summary

Problems solved by technology

This method has the following problems: 1. The detection of feed raw material quality indicators is limited, which reduces the utilization efficiency of feed raw materials and the accuracy of feed formula; The nutritional parameters of raw materials do not match the requirements of the formula; 3. Problems with equipment and processes cannot be found in time, such as the uniformity of mixing, which is usually tested once every 3 months; 5. Formulators and testers have high labor costs and low work efficiency; 6. For the data of effective nutritional ingredients, the detection requirements are high and the test cycle is long. The corresponding equipment and animal test conditions make it impossible for the feed factory to obtain the required data through daily testing

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