Evaluation method for effect of laser irradiation based on multivariate data on quality of pilose antler

Abstract

The application discloses an evaluation method for the influence of laser irradiation based on multi-element data on quality of pilose antler, and relates to the technical field of multi-element data evaluation. The method comprises the following steps: collecting quality index parameters of pilose antler samples before and after laser irradiation treatment respectively, and obtaining a quality index change trend; establishing a response path atlas between laser treatment and quality change, and obtaining a current response path type; combining a quality index grade of the pilose antler samples before laser irradiation treatment, and determining a current quality index grade; setting a plurality of quality conflict pairs, and triggering a quality conflict event if two indexes in any one of the quality conflict pairs appear to change in the same direction greatly under the current laser irradiation treatment parameters; executing a conflict punishment rule, modifying the current quality index grade, and obtaining a standard quality index grade. The application realizes scientific and dynamic evaluation of the influence of laser irradiation on the quality of pilose antler, and effectively improves the accuracy and reliability of quality evaluation.

Description

Technical Field

[0001] This application relates to the field of multivariate data assessment technology, and in particular to an assessment method for the impact of laser irradiation on the quality of deer antlers based on multivariate data. Background Technology

[0002] As a traditional Chinese medicine and high-end tonic, the quality of deer antler directly affects its efficacy and market value. In recent years, laser irradiation technology, due to its non-contact and highly controllable characteristics, has been gradually applied to the processing of deer antler to improve its active ingredient content, sterilize, and optimize its quality. However, the specific mechanisms by which laser irradiation affects the quality of deer antler are complex, involving a comprehensive transformation of multiple dimensions, including changes in composition, tissue structure, and sensory qualities.

[0003] In related technologies, traditional methods for evaluating the quality of deer antler mainly rely on the detection of single indicators, such as the determination of chemical composition content, microscopic tissue observation, or sensory scoring, lacking a systematic evaluation of the overall quality changes after laser irradiation treatment. On the other hand, there are complex intrinsic relationships and mutual constraints among quality indicators. For example, an increase in certain components may be accompanied by a decrease in other indicators. Traditional evaluation methods often ignore the conflicting relationships between these indicators, failing to effectively reflect the true trend of quality changes. They also lack the identification and handling of quality conflict events, easily leading to evaluation bias and misjudgment, thus requiring improvement. Summary of the Invention

[0004] The purpose of this invention is to provide a method for evaluating the impact of laser irradiation on the quality of deer antlers based on multivariate data, so as to solve the problems mentioned in the background art.

[0005] The method for evaluating the impact of laser irradiation on deer antler quality based on multivariate data provided in this application adopts the following technical solution:

[0006] Record the laser irradiation treatment parameters of deer antler samples, collect the quality index parameters of deer antler samples before and after laser irradiation treatment, and obtain the trend of quality index changes.

[0007] Establish a response path graph between laser processing and quality changes, match and identify the change trend of the quality index with the response path graph, and obtain the current response path type;

[0008] Based on the current response path type and the quality index level of the deer antler sample before laser irradiation, the current quality index level is determined.

[0009] Several sets of quality conflict pairs are set. If two indicators in any set of quality conflict pairs change significantly in the same direction under the current laser irradiation processing parameters, a quality conflict event is triggered.

[0010] Based on the quality conflict event, the conflict penalty rule is executed to correct the current quality indicator level and obtain the standard quality indicator level.

[0011] Preferably, the steps of recording the laser irradiation treatment parameters of the antler samples, collecting the quality index parameters of the antler samples before and after laser irradiation treatment, and obtaining the trend of quality index changes are as follows:

[0012] Record the laser irradiation treatment parameters of the deer antler sample, including irradiation wavelength, irradiation power, irradiation duration and treatment area, and generate a laser treatment label;

[0013] Quality index parameters of deer antler samples before laser irradiation treatment are collected. The quality index parameters include component index parameters, structural index parameters and sensory index parameters, forming a first quality index vector Q=[q1,q2,q3].

[0014] The corresponding quality index parameters of the deer antler samples after laser irradiation treatment are collected. The quality index parameters include component index parameters, structural index parameters, and sensory index parameters, forming a second quality index vector P=[p1,p2,p3];

[0015] By comparing the first quality index vector with the second quality index vector, the changing trend of the quality index of the deer antler sample is obtained.

[0016] Preferably, the step of comparing the first quality index vector with the second quality index vector to obtain the trend of quality index changes in the antler sample specifically includes:

[0017] Compare the first quality indicator vector with the second quality indicator vector to determine the direction of change for each quality indicator.

[0018] If Pi-Qi > 0, the quality index increases; if Pi-Qi = 0, the quality index remains unchanged; if Pi-Qi < 0, the quality index decreases; where i = 1, 2, 3.

[0019] By comparing the first quality index vector with the second quality index vector, the absolute difference |Pi-Qi| of each quality index is calculated to obtain the change range of each quality index; where i=1,2,3;

[0020] Based on the direction and magnitude of the changes in the quality indicators, a trend of quality indicator changes for the deer antler sample is constructed.

[0021] Preferably, the step of establishing a response path map between laser processing and quality changes, matching and identifying the trend of quality index changes with the response path map, and obtaining the current response path type specifically includes:

[0022] Establish a response path map between laser treatment and quality changes, wherein the response path map includes multiple response path chains between laser irradiation treatment and quality changes;

[0023] The response path chain includes four types: positive boosting path, neutral and stable path, negative descent path, and abnormal mutation path;

[0024] Extract the trend of the quality index change, match the trend of the quality index change with the response path chain in the response path map, and identify the response path type to which the current deer antler sample's quality index change trend belongs.

[0025] Preferably, the step of determining the current quality index level based on the current response path type and the quality index level of the antler sample before laser irradiation treatment is as follows:

[0026] Based on the quality index parameters of the deer antler samples before laser irradiation treatment, the initial quality index grade of the deer antler samples was determined.

[0027] Extract the variation range of quality indicators, set a threshold for the variation range of quality indicators, and compare the variation range of the quality indicators with the threshold for the variation range of quality indicators.

[0028] If the change in the quality index exceeds the quality change threshold, then the grade change condition is met.

[0029] Based on the response path type to which the current trend of quality indicators of the deer antler sample belongs, and in conjunction with the initial quality indicator level, the current quality indicator level is determined.

[0030] Preferably, the step of determining the current quality indicator level based on the response path type to which the current trend of the deer antler sample quality indicator belongs, combined with the initial quality indicator level, is as follows:

[0031] If the current trend of quality index change of deer antler sample belongs to the response path type of positive improvement path, and meets the level change conditions, then the initial quality index level will be improved.

[0032] If the current trend of quality index change of deer antler sample belongs to the neutral and stable path type and meets the level change conditions, then the initial quality index level remains unchanged.

[0033] If the current trend of the quality index of the deer antler sample belongs to a negative downward path and meets the conditions for grade change, then the initial quality index grade will be reduced.

[0034] If the current trend of the quality indicators of the deer antler sample belongs to the abnormal mutation path and meets the grade change conditions, an abnormal warning will be triggered for manual review.

[0035] Preferably, several sets of quality conflict pairs are defined. If two indicators in any set of quality conflict pairs show a large change in the same direction under the current laser irradiation processing parameters, the quality conflict event is triggered. Specifically, the steps are as follows:

[0036] Several sets of quality conflict pairs are defined, wherein the quality conflict pairs are combinations of quality index pairs that have a logically mutually exclusive relationship.

[0037] Extract the direction and magnitude of quality index changes, and determine whether the two indicators in each quality conflict pair meet the quality conflict conditions under the current laser irradiation processing parameters.

[0038] If the two indicators in any quality conflict pair change in the same direction and the magnitude of the change in the two indicators exceeds the threshold for the magnitude of the change in the same direction, that is, a quality conflict event is triggered.

[0039] Preferably, the step of executing conflict penalty rules based on the quality conflict event to correct the current quality indicator level and obtain the standard quality indicator level is as follows:

[0040] Based on the quality conflict events, determine the conflict event level and obtain the corresponding conflict penalty factor;

[0041] Based on the conflict penalty factor, the conflict penalty rule is executed to correct the current quality index level and obtain the standard quality index level.

[0042] Preferably, the step of determining the conflict event level and obtaining the corresponding conflict penalty factor based on the quality conflict event specifically includes:

[0043] Based on the quality conflict events, obtain the sensitivity of the quality conflict pairs to the indicators and the frequency of conflict occurrence;

[0044] The quality conflict coefficient is obtained by combining the sensitivity of the aforementioned indicators with the frequency of conflict occurrence.

[0045] Based on the quality conflict coefficient, the conflict event level is determined.

[0046] In summary, this application includes at least one of the following beneficial technical effects:

[0047] 1. By meticulously recording the processing parameters of each deer antler sample during laser irradiation and collecting and comparing multiple quality indicators before and after treatment, the actual change trends induced by laser treatment can be accurately grasped. This not only provides data support for subsequent modeling and path matching but also ensures the objectivity and scientific rigor of the evaluation method. By establishing a response path map, the quality change patterns caused by different combinations of laser parameters are abstracted into path types, providing a reference for identifying the indicator trends of the current sample. Simultaneously, path matching can identify the overall effect type of laser action, making the evaluation process structured and interpretable. By combining the current response path type with the initial quality level, the relative quality level change after laser treatment can be inferred, which is a crucial step in achieving intelligent quality level evaluation. Some quality indicators may have natural antagonistic or trade-off relationships. Therefore, setting quality conflict pairs and monitoring their significant changes in the same direction can promptly identify potential abnormal interference or risks such as excessive laser treatment, enhancing the robustness of the evaluation scheme and ensuring reasonable coordination among multi-dimensional quality aspects. When a quality conflict event is triggered, it indicates that the original assessment may have been overly optimistic or misjudged. Therefore, introducing a conflict penalty mechanism to reasonably correct the assessment level can effectively eliminate false positive results, making the final standard quality index level more in line with the actual effect and industry quality and safety expectations, improving the accuracy and credibility of the assessment plan, greatly promoting the quality control and optimization of laser processing technology, and meeting the quality assurance needs of high-quality deer antler products.

[0048] 2. By constructing a response path map, the complex causal relationship between laser irradiation parameters and changes in antler quality is structurally expressed. The response path map can concretize the quality change patterns under different laser treatment conditions into path chains, providing a standardized reference framework and decision-making basis for quality assessment, which helps to improve the scientificity and accuracy of the assessment. The response paths are divided into four typical types: positive improvement path, neutral stable path, negative decline path, and abnormal mutation path, reflecting the positive impact, no significant change, negative impact, and unexpected abnormal fluctuations of laser irradiation on antler quality, respectively. This classification method simplifies complex quality change patterns, facilitates rapid classification and judgment of sample change trends, thereby improving the efficiency and targeting of quality assessment. By matching the actual measured quality indicator change trends with the response path map for similarity, intelligent classification and recognition of laser treatment effects are achieved. This effectively transforms complex, multi-dimensional change data into specific path type labels, providing clear input for subsequent quality grade determination, conflict detection, and optimization adjustments, which is conducive to realizing an automated and standardized quality assessment process.

[0049] 3. By pre-defining logically mutually exclusive quality indicator pairs, it is clarified that these indicators typically exhibit a mutually restrictive or inverse relationship during normal quality control. A contradiction comparison table between quality indicators is constructed, providing a theoretical basis for identifying abnormal changes and potential quality risks, and ensuring the assessment system's reasonable understanding and dynamic monitoring of complex quality relationships. Through dual extraction of the direction and magnitude of change, precise dynamic monitoring is performed to determine whether each quality conflict pair deviates from the expected logical relationship. This achieves real-time detection of the quality indicator relationship status, enabling timely capture of abnormal synchronous changes caused by laser processing. This provides crucial data support for subsequent conflict event determination, enhancing the system's sensitivity and accuracy. When abnormal, large, synchronous changes in the same direction are detected between two indicators in a quality conflict pair, it indicates that laser irradiation may have caused an imbalance in the quality control mechanism or sample quality abnormalities, triggering a quality conflict event as a warning signal. This prompts the assessment system and operators to focus on and review the laser processing parameters and quality changes, thereby avoiding misjudgments or erroneous decisions regarding abnormal quality data and improving the reliability and security of quality assessment. Attached Figure Description

[0050] Figure 1 This is a schematic diagram illustrating the specific steps of an embodiment of the method for evaluating the impact of laser irradiation on the quality of deer antlers based on multivariate data, according to the present invention. Detailed Implementation

[0051] The following examples and... Figure 1 The present invention will be described in further detail, but the embodiments of the present invention are not limited thereto.

[0052] This invention discloses a method for evaluating the impact of laser irradiation on the quality of deer antlers based on multivariate data, specifically including the following steps:

[0053] Step S1: Record the laser irradiation treatment parameters of the deer antler samples, collect the quality index parameters of the deer antler samples before and after laser irradiation treatment, and obtain the trend of quality index changes.

[0054] Step S2: Establish a response path map between laser processing and quality changes, match and identify the change trend of the quality index with the response path map, and obtain the current response path type;

[0055] Step S3: Based on the current response path type and the quality index level of the antler sample before laser irradiation, determine the current quality index level.

[0056] Step S4: Set several sets of quality conflict pairs. If two indicators in any set of quality conflict pairs change significantly in the same direction under the current laser irradiation processing parameters, a quality conflict event is triggered.

[0057] Step S5: Based on the quality conflict event, execute the conflict penalty rule to correct the current quality index level and obtain the standard quality index level.

[0058] In practical applications, by meticulously recording the processing parameters of each deer antler sample during laser irradiation and collecting and comparing multiple quality indicators before and after treatment, the actual change trends induced by laser treatment can be accurately grasped. This not only provides data support for subsequent modeling and path matching but also ensures the objectivity and scientific rigor of the evaluation method. By establishing a response path map, the quality change patterns caused by different combinations of laser parameters are abstracted into path types, providing a reference for identifying the indicator trends of the current sample. Simultaneously, path matching can identify the overall effect type of laser action, making the evaluation process structured and interpretable. By combining the current response path type with the initial quality level, the relative quality level change after laser treatment can be inferred, which is a crucial step in achieving intelligent quality level evaluation. Some quality indicators may have natural antagonistic or trade-off relationships, such as an increase in component concentration possibly accompanied by a decrease in density or color change. Therefore, setting quality conflict pairs and monitoring their significant changes in the same direction can promptly identify potential abnormal interference or risks such as excessive laser treatment, enhancing the robustness of the evaluation scheme and ensuring reasonable coordination among multi-dimensional quality aspects. When a quality conflict event is triggered, it indicates that the original assessment may have an excessively high risk of misjudgment. Therefore, introducing a conflict penalty mechanism to reasonably correct the assessment level can effectively eliminate falsely excellent results, making the final standard quality index level more in line with the actual effect and industry quality and safety expectations, and improving the accuracy and credibility of the assessment plan.

[0059] The steps for recording laser irradiation treatment parameters of deer antler samples, collecting quality index parameters of deer antler samples before and after laser irradiation treatment, and obtaining the trend of quality index changes are as follows:

[0060] Step S11: Record the laser irradiation treatment parameters of the deer antler sample, including irradiation wavelength, irradiation power, irradiation duration and effective area, and generate a laser treatment label;

[0061] Step S12: Collect the quality index parameters of the deer antler sample before laser irradiation treatment. The quality index parameters include component index parameters, structural index parameters and sensory index parameters, forming a first quality index vector Q=[q1,q2,q3].

[0062] Step S13: Collect the corresponding quality index parameters of the deer antler sample after laser irradiation treatment. The quality index parameters include component index parameters, structural index parameters, and sensory index parameters, forming a second quality index vector P=[p1,p2,p3];

[0063] Step S14: Compare the first quality index vector with the second quality index vector to obtain the trend of quality index changes of the deer antler sample.

[0064] In practical applications, by accurately recording the physical parameters involved in the laser irradiation process, unique tag information corresponding to the current laser treatment conditions is formed for subsequent data tracking and analysis, providing a foundation for establishing a causal relationship between laser treatment parameters and quality changes. The first quality indicator vector of the antler before laser irradiation is obtained. This structured vector comprehensively expresses the quality performance across multiple dimensions, including composition, structure, and sensory characteristics, providing a reference for subsequent change analysis. After laser irradiation, the quality of the antler samples is reassessed. Corresponding quality indicators are collected from dimensions such as composition, structure, and sensory characteristics, forming a second quality indicator vector with the same data structure as before treatment. By quantitatively comparing the two quality indicator vectors before and after treatment, the specific trends of quality improvement, decline, or fluctuation are identified, quantifying the actual impact of laser irradiation on antler quality and generating quality indicator change trends, providing intelligent and precise evidence for quality analysis.

[0065] The steps for comparing the first quality index vector with the second quality index vector to obtain the trend of quality index changes in the antler sample are as follows:

[0066] Step S141: Compare the first quality index vector with the second quality index vector to determine the direction of change for each quality index.

[0067] Step S142: If Pi-Qi > 0, the quality index increases; if Pi-Qi = 0, the quality index remains unchanged; if Pi-Qi < 0, the quality index decreases; where i = 1, 2, 3.

[0068] Step S143: Compare the first quality index vector with the second quality index vector, calculate the absolute difference |Pi-Qi| for each quality index, and obtain the change range of each quality index; where i=1, 2, 3;

[0069] Step S144: Based on the direction and magnitude of the quality index changes, construct the quality index change trend of the deer antler sample.

[0070] In practical applications, by comparing quality indicators before and after laser irradiation treatment, it is determined whether each specific indicator (such as nutritional components, tissue structure, and sensory characteristics) shows an increase, decrease, or remains unchanged. This forms a directional analysis of the changes in indicator dimensions, thus clarifying the directional impact of laser irradiation on different quality dimensions of deer antler. This serves as the basis for subsequent assessments of its positive or negative impact and also provides a logical basis for conflict identification and quality assessment. By comparing the first and second quality indicator vectors and calculating the absolute difference of each indicator before and after treatment, the intensity of the impact of laser irradiation on deer antler quality can be determined, i.e., whether the impact is significant. This provides important numerical basis for subsequent quality assessment grading or determining whether a quality conflict event has been triggered. The greater the change amplitude, the more sensitive or significant the effect of the indicator is to laser irradiation. Combining the qualitative change direction with the quantitative change amplitude forms a complete quality change trend vector, which serves as the core feature for assessing the impact of laser irradiation. This comprehensive change trend provides a comprehensive and structured input for subsequent response path mapping matching, conflict event identification, and quality grade assessment, and is key to achieving intelligent assessment.

[0071] The steps of establishing a response path graph between laser processing and quality changes, matching and identifying the change trend of the quality indicators with the response path graph, and obtaining the current response path type are as follows:

[0072] Step S21: Establish a response path map between laser treatment and quality change, wherein the response path map includes multiple response path chains between laser irradiation treatment and quality change;

[0073] Step S22, the response path chain includes four types: positive boosting path, neutral stable path, negative descent path, and abnormal mutation path;

[0074] Step S23: Extract the quality index change trend, perform similarity matching between the quality index change trend and the response path chain in the response path map, and identify the response path type to which the current deer antler sample quality index change trend belongs.

[0075] In practical applications, by constructing response path maps, the complex causal relationship between laser irradiation parameters and changes in antler quality is expressed in a structured manner. Response path maps can concretize the quality change patterns under different laser treatment conditions into path chains, providing a standardized reference framework and decision-making basis for quality assessment, thus improving the scientific rigor and accuracy of the assessment. Response paths are divided into four typical types: positive improvement path, neutral stable path, negative decline path, and abnormal mutation path, reflecting the positive impact, no significant change, negative impact, and unexpected abnormal fluctuations of laser irradiation on antler quality, respectively. This classification method simplifies complex quality change patterns, facilitating rapid classification and judgment of sample change trends, thereby improving the efficiency and relevance of quality assessment. By matching the actual measured quality indicator change trends with the response path maps, intelligent classification and identification of laser treatment effects are achieved. This effectively transforms complex, multi-dimensional change data into specific path type labels, providing clear input for subsequent quality grade determination, conflict detection, and optimization adjustments, which is conducive to achieving an automated and standardized quality assessment process.

[0076] Based on the current response path type, and combined with the quality index level of the antler sample before laser irradiation treatment, the steps for determining the current quality index level are as follows:

[0077] Step S31: Determine the initial quality index grade of the antler sample based on the quality index parameters of the antler sample before laser irradiation treatment.

[0078] Step S32: Extract the change range of quality indicators, set a threshold for the change range of quality indicators, and compare the change range of quality indicators with the threshold for the change range of quality indicators.

[0079] Step S33: If the change in the quality index exceeds the quality change threshold, then the grade change condition is determined to be met.

[0080] Step S34: Based on the response path type to which the current trend of the deer antler sample quality index belongs, and in conjunction with the initial quality index level, determine the current quality index level.

[0081] In practical applications, the initial quality grade of deer antler samples is determined by evaluating quality indicators before laser irradiation. By setting reasonable thresholds for variation, minor fluctuations and significant changes in quality indicators are effectively distinguished, avoiding unnecessary grade adjustments due to slight data fluctuations. By determining whether the variation exceeds the threshold, it is clear whether the conditions for quality grade adjustment are triggered, ensuring that grade changes only occur when quality significantly improves or declines, avoiding frequent and meaningless grade fluctuations, ensuring the rigor of quality assessment, and making the assessment results more objective and reliable. The path type of the change trend is combined with the initial quality grade for comprehensive judgment to derive the current quality grade. This method not only considers quantitative changes but also incorporates trend pattern analysis, making the quality grade assessment more comprehensive and scientific, and able to truly reflect the comprehensive impact of laser irradiation on deer antler quality.

[0082] Based on the response path type to which the current trend of deer antler sample quality indicators belongs, and in conjunction with the initial quality indicator level, the steps to determine the current quality indicator level are as follows:

[0083] Step S341: If the response path type of the current deer antler sample quality index change trend is a positive improvement path and the level change conditions are met, then the initial quality index level is improved.

[0084] Step S342: If the response path type of the current deer antler sample quality index change trend is a neutral and stable path, and the grade change condition is met, then the initial quality index grade remains unchanged.

[0085] Step S343: If the response path type of the current deer antler sample quality index change trend is a negative downward path and the grade change condition is met, then the initial quality index grade is reduced.

[0086] Step S344: If the response path type of the current deer antler sample quality index change trend is an abnormal mutation path and meets the grade change conditions, then trigger an abnormal warning for manual review.

[0087] In practical applications, when the trend of quality indicators follows a positive improvement path, it indicates that laser irradiation has a positive promoting effect on the quality of deer antler, such as increased component content, optimized structure, or improved sensory indicators. Combined with the judgment of grade change conditions, the initial quality grade is only upgraded when this positive change reaches a preset threshold, avoiding ineffective adjustments due to minor fluctuations. This not only ensures the scientific rationality of grade upgrades but also provides clear quality improvement indicators and feedback for optimizing laser processing techniques. A neutral and stable path indicates that laser irradiation has no significant positive or negative impact on quality indicators, and the quality remains basically stable. Even if the grade change conditions are met, the original quality grade is maintained, preventing unnecessary grade adjustments for samples without significant improvement or deterioration. This ensures the robustness of the evaluation system, reduces the volatility of evaluation results, and reflects scientific quality control principles. A negative decline path indicates that laser irradiation has a negative impact on the quality of deer antlers, potentially leading to a decrease in the content of key components, structural damage, or sensory deterioration. Combined with the grade change conditions, clearly defining the need for timely adjustment of the quality grade when there is a significant decline helps in the timely detection and correction of defective processes, ensuring product quality safety and market competitiveness, and ensuring the assessment system's sensitive response and risk warning capabilities to quality deterioration. An abnormal mutation path reflects abnormal or sudden fluctuations in quality indicators, which may originate from measurement errors, sample heterogeneity, or abnormal laser treatment. In such cases, triggering anomaly warnings and arranging manual review can effectively prevent misjudgments by the automated assessment system, ensuring the accuracy and reliability of the quality grade assessment.

[0088] Several quality conflict pairs are defined. If two indicators in any quality conflict pair show a large change in the same direction under the current laser irradiation processing parameters, the quality conflict event is triggered as follows:

[0089] Step S41: Set several sets of quality conflict pairs, wherein the quality conflict pairs are combinations of quality index pairs that have a logically mutually exclusive relationship.

[0090] Step S42: Extract the direction and magnitude of quality index changes, and determine whether the two indicators in each quality conflict pair meet the quality conflict conditions under the current laser irradiation processing parameters.

[0091] Step S43: If the two indicators in any quality conflict pair change in the same direction and the magnitude of the quality change of the two indicators exceeds the threshold of the magnitude of the quality change, that is, a large change in the same direction occurs, then a quality conflict event is triggered.

[0092] In practical applications, by pre-defining logically mutually exclusive quality indicator pairs, it is clarified that these indicators typically exhibit a mutually restrictive or inverse relationship during normal quality control. When the content of certain components increases, another indicator should usually decrease; for example, when the amino acid content increases, tissue density decreases. A contradiction comparison table between quality indicators is constructed, providing a theoretical basis for identifying abnormal changes and potential quality risks, ensuring the assessment system's reasonable understanding and dynamic monitoring of complex quality relationships. Through dual extraction of the direction and magnitude of changes, precise dynamic monitoring is performed to determine whether each quality conflict pair deviates from the expected logical relationship. This achieves real-time detection of the quality indicator relationship status, enabling timely capture of abnormal synchronous changes caused by laser treatment. This provides crucial data support for subsequent conflict event determination, enhancing the system's sensitivity and accuracy. When abnormal, large, synchronous changes in the same direction are detected between two indicators in a quality conflict pair, it indicates that laser irradiation may have caused an imbalance in the quality control mechanism or sample quality abnormalities, triggering a quality conflict event as a warning signal. This prompts the assessment system and operators to pay close attention to and review the laser treatment parameters and quality changes, thereby avoiding misjudgments or incorrect decisions regarding abnormal quality data and improving the reliability and safety of quality assessment.

[0093] The steps for revising the current quality indicator level based on the quality conflict event and executing the conflict penalty rule to obtain the standard quality indicator level are as follows:

[0094] Step S51: Based on the quality conflict event, determine the conflict event level and obtain the corresponding conflict penalty factor;

[0095] Step S52: Based on the conflict penalty factor, execute the conflict penalty rule to correct the current quality index level and obtain the standard quality index level.

[0096] In practical application, by classifying triggered quality conflict events into levels, the severity of conflicts can be accurately assessed, demonstrating the assessment system's ability to manage quality anomalies in a tiered manner. Based on the conflict level, corresponding penalty factors are assigned, enabling the system to differentiate between anomalies of varying severity and achieve refined control. This not only improves the scientific rigor and rationality of the judgment but also provides a quantitative basis for subsequent corrective steps, ensuring that the correction process is neither overly stringent nor overly lenient. Applying conflict penalty factors to the current quality indicator level, through a rule-based correction mechanism, reduces the possibility of inflated levels due to quality conflicts, ensuring the accuracy and fairness of the assessment results. The correction of standard quality indicator levels makes the final assessment more reflective of the actual quality situation, effectively avoiding misjudgments and quality risks, while also promoting the stability and credibility of the assessment system, providing a scientific basis for the optimization and quality assurance of laser irradiation processes.

[0097] The steps for determining the conflict event level and obtaining the corresponding conflict penalty factor based on the aforementioned quality conflict event are as follows:

[0098] Step S521: Based on the quality conflict event, obtain the index sensitivity and conflict occurrence frequency of the quality conflict pair;

[0099] Step S522: Combine the sensitivity of the indicators and the frequency of conflict occurrence to obtain the quality conflict coefficient;

[0100] Step S523: Determine the conflict event level based on the quality conflict coefficient.

[0101] In practical applications, the sensitivity of various indicators in quality conflict pairs and the frequency of conflict events under different laser irradiation parameters are collected and analyzed. Indicator sensitivity reflects the impact of quality changes on the final product quality, while the frequency of conflict reflects the prevalence and severity of the problem. This allows for the quantification of the importance of each indicator to the overall quality and the probability of anomalies, enhancing the accuracy and relevance of quality anomaly assessment. By combining indicator sensitivity with conflict frequency, a quality conflict coefficient is calculated, enabling a quantitative expression of the comprehensive impact of conflict events and improving the quantitative analysis capability of the assessment system. Using the quality conflict coefficient as a criterion, conflict events are classified into different levels, such as low severity, medium severity, and high severity, achieving hierarchical management of quality anomalies. This ensures the rationality and dynamic adaptability of conflict level determination, allowing the system to respond flexibly based on the actual impact of the conflict. This provides accurate references for subsequent conflict penalty rule execution and quality level correction, enhancing the scientific rigor and effectiveness of the overall assessment process.

[0102] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for evaluating the impact of laser irradiation on deer antler quality based on multivariate data, characterized in that, Includes the following steps: Record the laser irradiation treatment parameters of deer antler samples, collect the quality index parameters of deer antler samples before and after laser irradiation treatment, and obtain the trend of quality index changes, including the following steps: Record the laser irradiation treatment parameters of the deer antler sample, including irradiation wavelength, irradiation power, irradiation duration and treatment area, and generate a laser treatment label; Quality index parameters of deer antler samples before laser irradiation treatment are collected. The quality index parameters include component index parameters, structural index parameters and sensory index parameters, forming a first quality index vector Q=[q1,q2,q3]. Collect the corresponding quality index parameters of the deer antler sample after laser irradiation treatment. The quality index parameters include component index parameters, structural index parameters and sensory index parameters, forming a second quality index vector P=[p1,p2,p3]. Compare the first quality indicator vector with the second quality indicator vector to determine the direction of change for each quality indicator. If Pi-Qi > 0, the quality index increases; if Pi-Qi = 0, the quality index remains unchanged; if Pi-Qi < 0, the quality index decreases; where i = 1, 2, 3. By comparing the first quality index vector with the second quality index vector, the absolute difference |Pi-Qi| of each quality index is calculated to obtain the change range of each quality index; where i=1,2,3; Based on the direction and magnitude of the quality index changes, a trend of quality index changes for the deer antler sample is constructed. Establish a response path graph between laser processing and quality changes, match and identify the change trend of the quality index with the response path graph, and obtain the current response path type, including the following steps: Establish a response path map between laser treatment and quality changes, wherein the response path map includes multiple response path chains between laser irradiation treatment and quality changes; The response path chain includes four types: positive boosting path, neutral and stable path, negative descent path, and abnormal mutation path; Extract the trend of the quality index change, match the trend of the quality index change with the response path chain in the response path map, and identify the response path type to which the current deer antler sample's quality index change trend belongs. Based on the current response path type and the quality index level of the deer antler sample before laser irradiation, the current quality index level is determined. Several sets of quality conflict pairs are set. If two indicators in any set of quality conflict pairs change significantly in the same direction under the current laser irradiation processing parameters, a quality conflict event is triggered. Based on the quality conflict event, the conflict penalty rule is executed to correct the current quality indicator level and obtain the standard quality indicator level.

2. The method for evaluating the impact of laser irradiation on deer antler quality based on multivariate data as described in claim 1, characterized in that, The step of determining the current quality index level based on the current response path type and the quality index level of the antler sample before laser irradiation treatment is as follows: Based on the quality index parameters of the deer antler samples before laser irradiation treatment, the initial quality index grade of the deer antler samples was determined. Extract the variation range of quality indicators, set a threshold for the variation range of quality indicators, and compare the variation range of the quality indicators with the threshold for the variation range of quality indicators. If the change in the quality index exceeds the quality change threshold, then the grade change condition is met. Based on the response path type to which the current trend of quality indicators of the deer antler sample belongs, and in conjunction with the initial quality indicator level, the current quality indicator level is determined.

3. The method for evaluating the impact of laser irradiation on deer antler quality based on multivariate data as described in claim 2, characterized in that, The step of determining the current quality indicator level based on the response path type to which the current trend of the deer antler sample quality indicator belongs, combined with the initial quality indicator level, is as follows: If the current trend of quality index change of deer antler sample belongs to the response path type of positive improvement path, and meets the level change conditions, then the initial quality index level will be improved. If the current trend of quality index change of deer antler sample belongs to the neutral and stable path type and meets the level change conditions, then the initial quality index level remains unchanged. If the current trend of the quality index of the deer antler sample belongs to a negative downward path and meets the conditions for grade change, then the initial quality index grade will be reduced. If the current trend of the quality indicators of the deer antler sample belongs to the abnormal mutation path and meets the grade change conditions, an abnormal warning will be triggered for manual review.

4. The method for evaluating the impact of laser irradiation on deer antler quality based on multivariate data as described in claim 1, characterized in that, The step of setting up several sets of quality conflict pairs, and triggering a quality conflict event if two indicators in any set of quality conflict pairs change significantly in the same direction under the current laser irradiation processing parameters, is as follows: Several sets of quality conflict pairs are defined, wherein the quality conflict pairs are combinations of quality index pairs that have a logically mutually exclusive relationship. Extract the direction and magnitude of quality index changes, and determine whether the two indicators in each quality conflict pair meet the quality conflict conditions under the current laser irradiation processing parameters. If the two indicators in any quality conflict pair change in the same direction and the magnitude of the change in the two indicators exceeds the threshold for the magnitude of the change in the same direction, that is, a quality conflict event is triggered.

5. The method for evaluating the impact of laser irradiation on deer antler quality based on multivariate data as described in claim 1, characterized in that, The step of executing conflict penalty rules based on the quality conflict event to correct the current quality indicator level and obtain the standard quality indicator level is as follows: Based on the quality conflict events, determine the conflict event level and obtain the corresponding conflict penalty factor; Based on the conflict penalty factor, the conflict penalty rule is executed to correct the current quality index level and obtain the standard quality index level.

6. The method for evaluating the impact of laser irradiation on deer antler quality based on multivariate data as described in claim 5, characterized in that, The step of determining the conflict event level and obtaining the corresponding conflict penalty factor based on the quality conflict event is as follows: Based on the quality conflict events, obtain the sensitivity of the quality conflict pairs to the indicators and the frequency of conflict occurrence; The quality conflict coefficient is obtained by combining the sensitivity of the aforementioned indicators with the frequency of conflict occurrence. Based on the quality conflict coefficient, the conflict event level is determined.

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