CN-121724515-B - Pork quality assessment method and system for cold chain transportation

CN121724515BCN 121724515 BCN121724515 BCN 121724515BCN-121724515-B

Abstract

The invention discloses a pork quality assessment method and a pork quality assessment system for cold chain transportation, which relate to the technical field of pork quality detection and comprise the following steps of collecting multi-type data reflecting pork quality change in the whole cold chain transportation process, establishing a unified time sequence list, correspondingly marking fluctuation trend of various data and temperature and humidity change, and generating a dynamic data manuscript; and (3) carrying out time difference carding on the dynamic data manuscript, extracting synchronous change fragments of the pH value and the volatile basic nitrogen, and independently marking and summarizing the fragments without synchronous characteristics to form an asynchronous characteristic list. According to the invention, a unified time sequence list of the multi-type data is established, so that the dynamic association and continuous tracking of physical and chemical indexes and environmental parameters are realized, the real-time performance and accuracy of quality evaluation are improved, and the asynchronous phenomenon is self-adaptively repaired through asynchronous characteristic recognition and dynamic regulation mechanisms, so that the freshness and spoilage degree evaluation is kept stable and reliable under environmental fluctuation.

Inventors

WANG LI
DAI TIANSHU
WANG JINGHUA
WANG HAISONG
XU SHILIANG
KANG XINYUE
YU LIJUN
LIU RUI
LIU JIANSHENG
SHU DINGMING
YAO HAILONG
FANG ZHENGFENG
HUI TENG
SU ZHIPENG
LUO HEFENG
LI BINBIN
LI RAN
XIA MINQUAN
HU LIANG

Assignees

四川德康攻关创新科技有限公司
四川德康农牧食品集团股份有限公司
四川农业大学

Dates

Publication Date: 20260505
Application Date: 20260227

Claims (6)

1. The pork quality assessment method for cold chain transportation is characterized by comprising the following steps of: Collecting multi-type data reflecting pork quality change in the whole cold chain transportation process, establishing a unified time sequence list, and correspondingly marking fluctuation trend and temperature and humidity change of various data to generate a dynamic data manuscript; Time difference carding is carried out on the dynamic data manuscript, synchronous change fragments of pH value and volatile basic nitrogen are extracted, and fragments without synchronous characteristics are marked independently and summarized to form an asynchronous characteristic list; the dynamic data manuscript is subjected to time dimension difference carding, pH value, volatile basic nitrogen, moisture content, temperature and humidity data are subjected to sectional comparison according to time nodes, and the change relation of the pH value, the volatile basic nitrogen, the moisture content, the temperature and the humidity data on a time axis is identified; extracting a section with the same change direction of the pH value and the volatile basic nitrogen in the same time period from a time difference carding result, defining the section as a synchronous change section, if the change directions of the section and the section are opposite or the time response is delayed, the section is an asynchronous change section, and recording the start-stop time, the change amplitude and the corresponding temperature and humidity parameters; Marking the time interval without the synchronous characteristic, and recording the change direction, the delay duration and the corresponding relation with the temperature and humidity fluctuation; summarizing all the unsynchronized fragments to generate an unsynchronized feature list, and recording the starting time, the ending time, the change direction and the environment corresponding information of each fragment by taking the time as a main shaft; according to the asynchronous feature list backtracking time sequence data, identifying a time segment which continuously deviates in short-time fluctuation, and corresponding the acquired segment with a temperature and humidity change node to construct an abnormal coupling diagram; backtracking and importing an unsynchronized characteristic list to determine the position range of unsynchronized fragments in a time sequence, and extracting pH value, volatile basic nitrogen, moisture content, temperature and humidity data to form a local time sequence set; Carrying out fluctuation backtracking analysis on the local time sequence set, identifying a time segment with a continuous deviation characteristic in a short time range, and recording the change direction, the continuous amplitude and the temperature and humidity change characteristic; The specific process of identifying the time segment with continuous deviation characteristic in a short time range comprises the following steps of extending forwards and backwards for a certain time range by taking the unsynchronized characteristic segment as a center, tracking the change track of the pH value and the volatile basic nitrogen, and recording the change direction and the continuous amplitude of the change track; Carrying out corresponding analysis on the continuous offset time segment and the temperature and humidity change node, and establishing a mapping relation of time intervals, offset directions and duration; Constructing an abnormal coupling diagram according to the time corresponding relation, taking time as a horizontal axis, taking quality index change and environmental parameter change as longitudinal distribution, and classifying and labeling the coupling relation types; performing index comparison analysis by using an abnormal coupling graph, extracting a cross change rule among indexes, tracking a change direction and duration in a continuous time period, and generating a change coupling draft; Layering and expanding a time relation and an index change track in an abnormal coupling diagram, determining a comparison analysis range of pH value, volatile basic nitrogen, moisture content, temperature and humidity, and extracting a continuous data interval containing the processes before and after environmental disturbance; Performing cross change comparison on the abnormal coupling diagram data after time expansion, extracting the forward, reverse and delayed coupling relation between the pH value and the volatile basic nitrogen in the same time interval, and recording the change direction, duration and environmental state; tracking the change direction and duration in the continuous time period, and identifying the trend phase and turning position of index change; Generating a variation coupling draft, and integrating the multi-index cross relation with the environmental parameters in time sequence to form a time sequence frame for positioning key turning positions of pork quality trend; Executing dynamic adjustment operation according to the change coupling draft, implementing breathing micro-expansion control on the time response rhythm of the quality evaluation process, and introducing an opposite-phase time interval rotation mode to automatically adjust the response steps of freshness and spoilage degree along with the change of temperature and humidity; The method specifically comprises the steps of initially setting a time response rhythm of a quality evaluation process according to a change coupling draft, dividing time phases according to turning positions and duration of quality indexes and environmental change nodes, and determining an evaluation period and a time step distance; Executing breathing micro-expansion control, and performing step expansion and retraction between adjacent evaluation periods to keep the quality evaluation time resolution in coordination with the environmental change; When the cold chain transportation environment keeps a constant temperature state and the quality index change tends to be stable, the time step is slightly expanded on the original rhythm so as to reduce the data fluctuation caused by frequent response; when the temperature or humidity fluctuates, the time step automatically retracts to a denser interval so as to improve the response sensitivity to quality change; Introducing an inversion time interval rotation mode, alternately adjusting the response steps of the freshness and the spoilage degree, and performing response interval fine adjustment according to the temperature and humidity change rate; The method comprises the steps of taking the historical change direction of the quality index as a reference, inversely rotating the time step distance in adjacent periods to enable the evaluation interval of the freshness index and the spoilage degree index to be alternately changed, properly prolonging the time step distance in the next period when the freshness index is in an encrypted sampling state in the previous period, and correspondingly shortening the time step distance in the next period when the spoilage degree index is in a delayed sampling state in the previous period; and fusing respiratory micro-expansion control and reverse phase time interval rotation results to form a continuous and stable quality assessment rhythm.
2. The method for evaluating pork quality for cold chain transportation according to claim 1, wherein the dynamic data manuscript generation step is as follows: Collecting multiple types of data in the whole cold chain transportation process, wherein the collected content comprises the pH value, the moisture content, the volatile basic nitrogen value, the conductivity, the color parameters, the temperature, the humidity and the air flow speed of pork, and synchronously recording the physicochemical properties and the environmental conditions at continuous sampling intervals; The collected data are ordered uniformly according to time sequence, a time sequence list is established, and the collection periods of different indexes are adjusted through uniform time granularity, so that the corresponding relation among the pH value, the volatile basic nitrogen, the moisture content, the temperature and the humidity is realized at the same time step; Correspondingly marking the physicochemical index change and the temperature and humidity change in the time sequence list to form a trend segment set; And integrating the time sequence list and the trend fragment set to generate a dynamic data manuscript which is used for reflecting the dynamic coupling relation between the pork quality change track and the environmental condition.
3. The cold chain transportation-oriented pork quality assessment method of claim 1, wherein the unsynchronized feature list is arranged according to time sequence, fragments with same unsynchronized features in continuous time periods are merged to form continuously distributed unsynchronized feature intervals, and simultaneously synchronous change fragments and unsynchronized fragments are compared and identified to construct a time sequence correlation map reflecting the relation between quality change and environmental fluctuation.
4. The method for evaluating pork quality for cold chain transportation according to claim 1, wherein when an abnormal coupling diagram is constructed, continuous offset time segments are classified and marked according to time delay types and change directions, offset segments overlapped with temperature change nodes are marked as direct correspondence, offset segments with time delay are marked as delay correspondence, and offset segments with consistent change directions are marked as co-directional correspondence, so that a multidimensional time association relationship is formed in the abnormal coupling diagram.
5. The method for evaluating pork quality for cold chain transportation according to claim 1, wherein each cross relation is marked with corresponding environmental fluctuation type and transportation stage information when a variable coupling draft is generated, a double-layer comparison structure of quality indexes and environmental parameters is established on a time line, and overlapping and turning positions of multi-index cross tracks are displayed in a superposition mode.
6. A pork quality assessment system for cold chain transportation, for implementing the pork quality assessment method for cold chain transportation according to any one of claims 1 to 5, characterized by comprising a data acquisition and timing sequence construction module, a synchronization relationship identification module, an abnormal coupling construction module, a change characteristic analysis module and a dynamic self-adaptive adjustment module: The data acquisition and time sequence construction module acquires multi-type data reflecting pork quality change in the whole cold chain transportation process, establishes a unified time sequence list, and correspondingly marks the fluctuation trend of various data and the temperature and humidity change to generate a dynamic data manuscript; The synchronous relation recognition module is used for carrying out time difference carding on dynamic data manuscripts, extracting synchronous change fragments of pH value and volatile basic nitrogen, and independently marking and summarizing the fragments without synchronous characteristics to form an asynchronous characteristic list; The abnormal coupling construction module is used for backtracking time sequence data according to the unsynchronized characteristic list, identifying a time segment which continuously deviates in short-time fluctuation, and corresponding the acquired segment with a temperature and humidity change node to construct an abnormal coupling diagram; the change characteristic analysis module is used for carrying out index comparison analysis by using the abnormal coupling graph, extracting a cross change rule among indexes, tracking the change direction and duration in a continuous time period and generating a change coupling draft; and the dynamic self-adaptive adjusting module executes dynamic adjusting operation according to the change coupling draft, carries out breathing micro-expansion control on the time response rhythm of the quality evaluation process, and introduces a reverse phase time interval rotation mode to automatically adjust the response steps of the freshness and the spoilage degree along with the change of temperature and humidity.

Description

Pork quality assessment method and system for cold chain transportation Technical Field The invention relates to the technical field of pork quality detection, in particular to a pork quality assessment method and system for cold chain transportation. Background The pork quality assessment for cold chain transportation is a comprehensive method for continuously, objectively and quantitatively analyzing the pork quality change based on a multi-source sensing technology, big data processing, intelligent analysis and dynamic assessment model under the condition that the whole pork storage and transportation process is kept at a low temperature. According to the method, physicochemical indexes (volatile basic nitrogen, pH, water content and the like) and microbial indexes acquired in the cold chain transportation process are taken as cores, noise rejection and abnormal value correction are realized through big data processing, a multidimensional quality index system is constructed, the freshness and the spoilage degree are evaluated in real time by combining a dynamic weight distribution algorithm, and the results are output in a visual form, so that intelligent monitoring and grade judgment of pork quality in the whole cold chain transportation process are realized. The method breaks through the limitations that the traditional manual selective examination is relied on, the response is delayed, and the dynamic change of transportation is difficult to reflect, and provides a data-driven technical support for quality control, risk early warning and traceability management of cold chain meat transportation. The prior art has the following defects: In the prior art, pork quality assessment usually depends on a single index or a fixed threshold value for judgment, and identification of dynamic association relations among multiple indexes is lacking. When the pH value and the volatile basic nitrogen generate asynchronous fluctuation in the cold chain transportation process, the system can easily misconsider one mutation into detection noise, so that potential quality abnormality is ignored. Such unsynchronized phenomena occur in scenes such as abrupt temperature and humidity changes, delayed sensing response or uneven local heat exchange, so that the real change in the meat is not accurately reflected in the evaluation process, the putrefaction symptoms are easily covered, risk early warning is not triggered in time, and the overall quality safety and reliability of a cold chain transportation link are further affected. The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art. Disclosure of Invention The invention aims to provide a pork quality assessment method and system for cold chain transportation, which are used for solving the problems in the background technology. In order to achieve the aim, the invention provides the following technical scheme that the pork quality assessment method for cold chain transportation comprises the following steps: Collecting multi-type data reflecting pork quality change in the whole cold chain transportation process, establishing a unified time sequence list, and correspondingly marking fluctuation trend and temperature and humidity change of various data to generate a dynamic data manuscript which can be used for subsequent analysis; Time difference carding is carried out on the dynamic data manuscript, synchronous change fragments of pH value and volatile basic nitrogen are extracted, and fragments without synchronous characteristics are marked independently and summarized to form an asynchronous characteristic list, so that a basis is provided for subsequent difference identification; According to the asynchronous feature list backtracking time sequence data, identifying a time segment which continuously deviates in short-time fluctuation, and corresponding the acquired segment with a temperature and humidity change node to construct an abnormal coupling diagram for representing a potential source of quality deviation; carrying out index comparison analysis by using an abnormal coupling diagram, extracting a cross change rule among indexes, tracking a change direction and duration in a continuous time period, and generating a change coupling draft for positioning key turning positions of pork quality trends; and executing dynamic adjustment operation according to the change coupling draft, executing breathing micro-expansion control on the time response rhythm of the quality evaluation process, and introducing an opposite-phase time interval rotation mode to automatically adjust the response steps of the freshness and the spoilage degree along with the change of the temperature and the humidity, thereby realizing self-adaptive repair and continuous stable evaluat