Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Safety risk monitoring and early warning method for dairy products

A monitoring and early warning, safety risk technology, applied in the field of dairy product safety risk monitoring and early warning, can solve problems such as competition for milk source quality decline, management records cannot be traced, raw milk resold to other factories, etc., to improve effectiveness and promote supervision Efficiency, improve the effect of informatization

Inactive Publication Date: 2013-02-13
河北省食品质量监督检验研究院
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, dairy production enterprises lack certain monitoring and control methods for hidden dangers of dairy product quality and safety risks. There are deep-rooted problems in the raw milk control, daily production management, product process checks, and factory inspections of enterprises, and raw milk is often rejected. Resale to other factories, scrambling for milk sources with reduced quality, management records that cannot be traced to the source, and factory inspections that are fraudulent and other problems that are difficult to find by on-site supervision and inspection alone
[0003] In addition, in the past supervision and inspection, due to the lack of comprehensive analysis of data and horizontal comparison among enterprises, some enterprises may get away with it even if they falsify

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] The average protein content of fresh milk purchased by a dairy product manufacturer from October to December 2011 was 3.135g / 100g, 3.093g / 100g, and 3.078g / 100g respectively. A regression model was established based on fuzzy measure and fuzzy integral, and genetic algorithm was used to determine Excavating the patterns and laws in the above data and drawing the data trend curve, it is found that these data show a gradual downward trend, which is inconsistent with the gradual upward trend of the whole province in the same period.

[0030] According to the second rule of the above-mentioned risk warning, "when the key quality and safety indicators of the raw milk or finished products of the enterprise deviate seriously from the general laws of the province, there may be risks such as illegal addition, dilution with water, low-quality raw materials, temporary milk adjustment, and milk grabbing in the early warning." , warn that the enterprise may have the above risks, and re...

Embodiment 2

[0032] In November and December 2011, a dairy product manufacturer purchased raw milk from a dairy household at a price of 2,900 yuan / ton, and the average price of the province in the same period was 3,400 yuan / ton. The model threshold is obtained by point detection, and after the actual comparison, it is found that the deviation reaches 14.7%, exceeding the threshold by 10%.

[0033] According to Article 3 of the above-mentioned risk warning "When the purchase price of raw milk in an enterprise or a certain region is seriously lower than the average market price, there may be risks such as illegal acquisition of low-quality raw materials, illegal addition, and mass epidemics", the company is warned that the above risks may exist, and Report to the relevant administrative department to verify and dispose of the production and operation status of the enterprise one by one.

Embodiment 3

[0035] The "Process Document for Production of Modulated Milk Products" of a dairy product manufacturer requires that the conversion coefficient between raw milk and finished milk be 0.8:1, and the actual purchased raw milk and finished product conversion coefficient is 1.05:1, using clustering algorithms such as k-means and DBScan The threshold of the model was obtained by abnormal point detection. After the actual comparison, it was found that the deviation reached 31.3%, exceeding the threshold by 20%.

[0036] According to Article 7 of the above-mentioned risk warning "When the actual conversion coefficient between the raw material quantity of a single product and the finished product quantity of an enterprise is unstable, there may be risks such as failure to produce according to the process, resale of raw milk, and omission of part of the milk source". The above-mentioned risks shall be reported to the relevant administrative department, and the production and operation s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses safety risk monitoring and early warning method for dairy products. The method comprises the following specific steps of: submitting data by a diary product producing enterprise; checking whether the data have obvious errors; preprocessing the accurate data; mining mode data; automatically analyzing the mined mode data, finding abnormal data, and making decisions according to the analysis result; and correcting decisions, and developing an early warning mechanism. The method has the advantages that a reasonable scientific mode for analyzing the production behavior of the enterprise is constructed, an automatic monitoring and early warning mechanism of quality safety key indexes and the like is constructed, and the scientific technical support is provided for deepening the risk management work; and problems in the production and management of the enterprise can be found timely, the disorderly conducts in the production and management can be effectively suppressed, and the enterprise is supervised and urged to strictly carry out the entity responsibility; and the informatization and automation level of food supervision is greatly improved, and the supervision efficiency is promoted to be improved.

Description

technical field [0001] The invention relates to a monitoring and early warning method, in particular to a dairy product safety risk monitoring and early warning method, which is suitable for early warning of problems in production management of dairy product enterprises and the like. Background technique [0002] In recent years, dairy product quality and safety incidents have occurred frequently. These incidents have revealed that my country's dairy product quality and safety problems are relatively prominent. Dairy product quality and safety problems have seriously affected the healthy development of the socialist economic market and the orderly advancement of a harmonious society. Health and the healthy development of dairy production enterprises have a relatively large negative impact. At present, dairy production enterprises lack certain monitoring and control methods for hidden dangers of dairy product quality and safety risks. There are deep-rooted problems in the raw ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/00
Inventor 张岩李挥李强王丽霞张敬轩黎彤亮赵怀宇王程
Owner 河北省食品质量监督检验研究院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products