Method and system for evaluating results of food reserved sample recheck and inspection items

Abstract

The invention provides a method and a system for evaluating results of a rechecking test item of a reserved food sample, and belongs to the technical field of detection, the method comprises the following steps: if a detection method of the rechecking test item has a repeatability limit, a reproducibility limit or precision, calculating a capability evaluation standard deviation based on a precision test; if the detection method for rechecking the inspection item does not have the repeatability limit, the reproducibility limit or the precision degree, calculating a power evaluation standard deviation based on a Huweitz model; based on the capability evaluation standard deviation, the initial inspection result and the reinspection result, calculating a deviation degree between the initial inspection result and the reinspection result of the reinspection item; and determining a re-checking evaluation result of the re-checking inspection item based on the deviation degree. According to the food reserved sample review inspection item result evaluation method and system provided by the invention, the credibility of the review evaluation result can be improved, so that the quality of daily detection data of a food detection laboratory is ensured.

Description

Technical Field

[0001] The present disclosure belongs to the field of detection technology, and more particularly, relates to a method and system for evaluating the results of food sample retention re-inspection items. Background Art

[0002] Food production enterprises need to produce according to certain quality standards, including national standards, industry standards, etc. Testing institutions ensure that food meets the corresponding quality standards by detecting the sensory characteristics (color, smell, taste, etc.), physical and chemical indicators (such as moisture content, acidity, peroxide value, etc.), and hygiene indicators (microbial indicators, additive usage, etc.) of the food.

[0003] Testing institutions are divided into primary inspection institutions and re-inspection institutions according to the order of sample testing. Their test conclusions directly affect the subsequent handling of production enterprises and their products by the management department. Therefore, conducting a re-inspection on the reserved samples with a qualified primary inspection conclusion is an effective supervision of the test results of the primary inspection institution and also a quality guarantee for qualified food; the assessment management institution selects the reserved samples of the primary inspection institution, conducts a re-inspection on them by the re-inspection institution, and the assessment management institution evaluates the re-inspection results.

[0004] In order to ensure the credibility of the re-inspection evaluation results, it is necessary to propose a practical method for evaluating the results of food sample retention re-inspection items. Summary of the Invention

[0005] The purpose of the present disclosure is to provide a method and system for evaluating the results of food sample retention re-inspection items to improve the credibility of the re-inspection evaluation results and thus ensure food quality.

[0006] In the first aspect of the embodiments of the present disclosure, a method for evaluating the results of food sample retention re-inspection items is provided, including: If the test method of the re-inspection item has a repeatability limit, a reproducibility limit, or precision, calculate the ability assessment standard deviation based on the precision test; If the test method of the re-inspection item does not have a repeatability limit, a reproducibility limit, or precision, calculate the ability assessment standard deviation based on the Horwitz model; Calculate the deviation between the primary inspection result and the re-inspection result of the re-inspection item based on the ability assessment standard deviation, the primary inspection result, and the re-inspection result; Determine the re-inspection evaluation result of the re-inspection item based on the deviation.

[0007] In the second aspect of the embodiments of the present disclosure, a system for evaluating the results of food sample retention re-inspection items is provided, including: The standard deviation calculation module for ability assessment is used to calculate the standard deviation for ability assessment based on the precision test if the detection method of the recheck test item has a repeatability limit, a reproducibility limit, or precision; if the detection method of the recheck test item does not have a repeatability limit, a reproducibility limit, or precision, calculate the standard deviation for ability assessment based on the Horwitz model; The deviation calculation module is used to calculate the deviation between the initial inspection result and the re-inspection result of the recheck test item based on the standard deviation for ability assessment, the initial inspection result, and the re-inspection result; The recheck result output module is used to determine the recheck evaluation result of the recheck test item based on the deviation.

[0008] In the third aspect of the embodiments of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above food sample retention recheck test item result evaluation method are implemented.

[0009] In the fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above food sample retention recheck test item result evaluation method are implemented.

[0010] The beneficial effects of the food sample retention recheck test item result evaluation method and system provided by the embodiments of the present disclosure are as follows: In the embodiments of the present disclosure, when the detection method has a repeatability limit, a reproducibility limit, or precision, the precision can characterize the degree of proximity of multiple measurement results under the same conditions, and it is relatively direct and accurate to calculate the standard deviation for ability assessment based on the precision test; for a detection method that does not have a repeatability limit, a reproducibility limit, or precision, the standard deviation for ability assessment can be calculated based on the Horwitz model. The Horwitz model is an empirical model summarized based on a large amount of experimental data. It considers the variation law of measurement results at different concentration levels and can reasonably estimate the standard deviation for ability assessment in the absence of specific precision data.

[0011] On this basis, the recheck evaluation result is quantified based on the standard deviation for ability assessment, the initial inspection result, and the re-inspection result, making the recheck evaluation result more objective, improving the credibility of the recheck evaluation result, helping food enterprises improve product quality, and playing a crucial role in promoting the healthy development of the entire food industry. Description of the Drawings

[0012] To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0013] Figure 1 It is a schematic flowchart of the result evaluation method for the food sample retention recheck inspection items provided by an embodiment of the present disclosure; Figure 2 It is a structural block diagram of the result evaluation system for the food sample retention recheck inspection items provided by an embodiment of the present disclosure; Figure 3 It is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Detailed implementation manners

[0014] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are presented to thoroughly understand the embodiments of the present disclosure. However, those skilled in the art should clearly understand that the present disclosure can also be implemented in other embodiments without these specific details. In other cases, the detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present disclosure.

[0015] To make the purpose, technical solutions, and advantages of the present disclosure clearer, the following will be described through specific embodiments in conjunction with the drawings.

[0016] Please refer to Figure 1 , Figure 1 It is a schematic flowchart of the result evaluation method for the food sample retention recheck inspection items provided by an embodiment of the present disclosure. The method includes: S101: If the detection method of the recheck inspection item has a repeatability limit, a reproducibility limit, or precision, calculate the standard deviation of the ability assessment based on the precision test.

[0017] If the detection method of the recheck inspection item does not have a repeatability limit, a reproducibility limit, or precision, calculate the standard deviation of the ability assessment based on the Horwitz model.

[0018] In this embodiment, the standard deviation of the ability assessment is a measure of discreteness for ability assessment based on available information. In inter-laboratory comparison or proficiency testing activities, the standard deviation of the ability assessment can be used to measure the discreteness of the laboratory test or measurement results.

[0019] The recheck inspection item is the detection item carried out for the sample retention recheck inspection. To ensure the scientific and effective results of the sample retention recheck inspection, a complete implementation plan needs to be formulated, and the content generally includes the following aspects: (1)Re-check the screening of major food categories; (2)Re-check the screening of items; (3)Determine the re-check method; (4)Select the re-inspection agency and establish a qualification evaluation system for the re-inspection agency, including quantitative evaluation methods and screening criteria for various aspects such as the accuracy of its instruments and equipment, the technical level of personnel (which can be specific to relevant qualification certificates or experience requirements), and the laboratory environment control ability (such as the monitoring and regulation of parameters such as temperature, humidity, and cleanliness), to ensure the high reliability of the re-inspection agency.

[0020] For the first aspect in the above implementation plan, the screening principles for re-check samples (i.e., re-check major food categories) include: (I)Conduct screening based on the shelf life and transportation conditions of the samples Considering that the complete re-check process takes no less than 1 month, when selecting randomly inspected samples, it is necessary to consider that the shelf life of the samples is no less than 1 month. Since the shelf life of catering food is generally short, in the past, except for carrying out special rectification, it was not suitable as the object of randomly inspected samples for regular retained sample re-check. To avoid supervision omissions in this major food category, a mode of combining on-site inspection and sampling is adopted to complete the re-check of the samples within the validity period of the samples.

[0021] In the work of retained sample re-check, the initial inspection agency needs to send the backup samples to the assessment office by logistics, and then the assessment office sends them to the re-inspection agency. This process may not be able to ensure cold chain delivery. Therefore, it is necessary to screen major food categories that are not easily affected during storage and transportation. By adding technical means that can monitor the temperature change during transportation, such as disposable temperature recording labels (low cost, easy to use, and record whether the temperature exceeds the limit during transportation through irreversible chemical reactions), etc. Through the above-mentioned logistics temperature monitoring and control method, the situation where it was impossible to carry out retained sample re-check for major food categories such as frozen drinks, frozen foods, and edible agricultural products in the past has been effectively solved, and the cause definition of the deviation of the measurement results has been clarified.

[0022] (II)Conduct screening based on the uniformity of the samples Due to the differences in production, processing technology, and the breeding environment of animals and plants for natural foods, there are large differences in the uniformity of the samples themselves, which can easily affect the evaluation of the test results. Therefore, in the past, only relatively uniform samples or samples whose uniformity can meet the requirements after simple treatment could be selected for the retained sample re-check.

[0023] By studying the sample homogenization technology, such as using cutting and stirring equipment for food sample preparation, the material of the cutting equipment was investigated in detail to avoid the introduction of sample inhomogeneity due to external reasons during this process. In addition, combined with data statistical methods, the influence of such samples on homogeneity was incorporated into the evaluation system, rather than using the same calculation method for evaluation for all major food categories. Through the above measures, the retention sample recheck inspection of samples with poor homogeneity such as meat products, edible agricultural products, vegetable products, and fruit products was achieved.

[0024] For the second aspect in the above implementation plan, the screening principles for review items include: The test items carried out in the retention sample recheck inspection are the main objects of review. How to formulate the screening principles directly affects whether the evaluation results can reflect the real problems in daily testing. In addition to the difficulty and risk level of the test items, stability and homogeneity are the influencing factors that this project focuses on.

[0025] (I) Conduct screening according to the requirements of the work rules The retention sample recheck inspection work only reviews physical and chemical items, and the microbial items cannot be rechecked due to their particularity, which results in the lack of supervision of the detection ability of microbial items. By carrying out retention sample recheck inspection on the physical and chemical items detected by the microbial method and combining evaluation systems such as daily blind sample assessment, the supervision of the microbial detection ability can be achieved.

[0026] (II) Conduct screening according to stability The stability of the target substances detected in the review items during storage and transportation is one of the key factors affecting the accuracy of the review evaluation results. For some test items that are prone to degradation, volatilization, oxidation and other changes, their quantity values usually change due to storage conditions, storage time and sample pre-packaging. For example, some pesticide residue and alcohol content items are not suitable for carrying out retention sample recheck inspection.

[0027] (III) Conduct screening according to homogeneity Due to the limited sampling volume of food sampling items, the homogeneity of the samples has a greater impact on the review results of the items. Among them, the mycotoxin detection items are a relatively special category in the physical and chemical items. For such items, not only are they prone to continue to accumulate during sample storage, but also whether contaminated samples are collected for detection during the initial inspection and recheck sampling directly affects the detection results. Therefore, when selecting such items for review, the sample collection and pretreatment processes will increase the uncertainty of the detection results, and usually it is not suitable to carry out retention sample recheck inspection.

[0028] In this embodiment, the appropriate standard deviation of ability assessment can be selected according to the actual situation of the test items The calculation methods are mainly divided into the following two situations: (1) Calculate the standard deviation of the ability assessment using the precision test Referring to the description in 4.1.2 of GB 6379.6, when an estimator is the sum or difference of n cohort estimators, and the standard deviation of each estimator is , then the standard deviation of the sum or difference is . Since the data compared in the retention sample review is only the initial test result and the retest result, the reproducibility R and repeatability are both the differences between the two test results, and their corresponding standard deviation is . In routine inspection work, in order to check the difference between the two test results, usually this standard deviation times is used as the critical difference. For a normal distribution, at the 95% probability level, , so , rounded to 2.8, that is .

[0029] Approximate the precision specified in the test method as the repeatability limit. Therefore, the repeatability standard deviation ( ) = precision / 2.8. Since the initial inspection and retest institutions in the retention sample review are two completely independent testing laboratories, the reproducibility standard deviation between laboratories is considered to be calculated according to . Among them, represents the standard value, taking the smaller set of data from the initial test result and the retest result to achieve the accuracy of the evaluation result.

[0030] For the samples used for review, although they are of the same batch as the initial test samples, considering the differences in the uniformity of samples within the same batch during the food production process, referring to the food matrix case in "Measurement Uncertainty Arising from Sampling: A Guide to Methods and Procedures", is multiplied by a certain multiple (such as 3 times) to obtain the standard deviation of the ability assessment.

[0031] (2) Calculate the standard deviation of the ability assessment using the general model When the test method does not determine the specific repeatability limit, reproducibility limit or precision, the standard deviation of the ability assessment can only be evaluated using the general model of the reproducibility of the measurement method. The Horwitz model gives a general model of the reproducibility of chemical analysis methods, and the expression of the reproducibility standard deviation is as shown in Equation 2:

[0032] Use the Horwitz model to evaluate the review results. Since this model is established based on the observation results of multi-parameter collaborative experiments and is the expected upper limit of the volatility among multiple laboratories, when calculating the reproducibility standard deviation between laboratories, there is no need to repeat and expand it by 2 times. Only the differences between the review samples and the initial test samples need to be considered. On this basis, Multiply by a certain multiple (e.g., 3 times) to obtain the standard deviation of the ability assessment.

[0033] Use the Horwitz model to evaluate the review results. Its advantages are: 1) There is no need to provide descriptions such as the precision of the detection method; 2) The reproducibility standard deviation is related to the actual concentration level of the sample, which is more targeted.

[0034] S102: Calculate the deviation between the initial test result and the retest result of the review test item based on the standard deviation of the ability assessment, the initial test result, and the retest result.

[0035] In this embodiment, by combining the initial test result and the retest result with the standard deviation of the ability assessment to calculate the deviation, the degree of difference between the two test results can be quantitatively described. This calculation takes into account the discrete characteristics of the detection method itself, making the evaluation of the deviation more scientific and reasonable, and can accurately reflect the consistency or difference between the initial test and retest results.

[0036] Calculate the deviation through a mathematical formula, convert the qualitative comparison into quantitative data, and provide guarantee for the accuracy and reliability of the sampling inspection results. By comprehensively understanding the current situation of food safety inspection agencies and inspection results, it provides effective support for the decision-making of management departments.

[0037] S103: Determine the review evaluation result of the review test item based on the deviation.

[0038] In this embodiment, the deviation can be compared with a set threshold. When the deviation is greater than or equal to the set threshold, it can be determined that the review evaluation result fails. When the deviation is less than the set threshold, it can be determined that the review evaluation result passes. By giving a clear and practical review evaluation result, it provides effective support for the decision-making of management departments.

[0039] It can be concluded from the above that when the detection method has a repeatability limit, a reproducibility limit, or precision, the precision can characterize the closeness of multiple measurement results under the same conditions. It is relatively direct and accurate to calculate the standard deviation of the ability assessment based on the precision test; for detection methods without a repeatability limit, a reproducibility limit, or precision, the standard deviation of the ability assessment can be calculated based on the Horwitz model. The Horwitz model is an empirical model summarized based on a large amount of experimental data. It considers the variation law of measurement results at different concentration levels and can reasonably estimate the standard deviation of the ability assessment in the absence of specific precision data.

[0040] On this basis, quantify the review evaluation result based on the standard deviation of the ability assessment, the initial test result, and the retest result, making the review evaluation result more objective, improving the credibility of the review evaluation result, helping food enterprises improve product quality, and playing a crucial role in promoting the healthy development of the entire food industry.

[0041] In one embodiment of the present disclosure, calculating the deviation degree between the initial inspection result and the re-inspection result of the recheck inspection item based on the standard deviation of ability assessment, the initial inspection result and the re-inspection result includes: Calculating the deviation degree between the initial inspection result and the re-inspection result of the recheck inspection item through the first formula; the first formula is:

[0042] Wherein, represents the deviation degree, represents the initial inspection result of the recheck inspection item, represents the re-inspection result of the recheck inspection item, represents the standard deviation of ability assessment.

[0043] In this embodiment, considering that there may be differences in different laboratories due to factors such as the instruments and equipment used, the detection methods, and the operators, resulting in a lack of direct comparability between the detection results. To solve the above problems, this embodiment uses the z-score to evaluate the detection results. The z-score converts the detection results of each laboratory into standard scores relative to the consensus value and the allowable dispersion, eliminating the influence of these factors, so that the detection results of different laboratories can be compared and evaluated under the same standard. In this way, whether it is between different laboratories within the same institution or between laboratories of different institutions, their detection results have higher comparability, which is conducive to the comprehensive analysis and utilization of the detection data.

[0044] In one embodiment of the present disclosure, calculating the standard deviation of ability assessment based on the reproducibility standard deviation includes: If the sample type corresponding to the recheck inspection item is industrial processed food and is a liquid sample, through the formula or calculate the standard deviation of ability assessment ; If the sample type corresponding to the recheck inspection item is industrial processed food and is a solid powder, through the formula or calculate the standard deviation of ability assessment ; If the sample type corresponding to the recheck inspection item is industrial processed food and the matrix is solid particles or lumps, through the formula or calculate the standard deviation of ability assessment ; If the sample type corresponding to the recheck inspection item is edible agricultural product, through the formula calculate the standard deviation of ability assessment .

[0045] In this embodiment, considering the uniformity differences brought about by the sample types, when the sample type is industrially processed food and is a liquid sample, such as wine, beverages, etc., the standard deviation of the ability assessment can reduce the influence introduced by uniformity, and the calculation formula is or ; when the sample type is industrially processed food but the matrix is solid powder, such as infant formula food, etc., since the process of this type of sample is relatively stable, the standard deviation of the ability assessment can reduce the influence introduced by uniformity, and the calculation formula is or ; when the sample type is industrially processed food but the matrix is solid particles or lumps, the influence of uniformity on the standard deviation of the ability assessment of this type of sample may be relatively large, and it can be classified and discussed according to the actual situation, and the calculation formula is or ; when the sample type is agricultural products for human consumption, the influence of uniformity on the standard deviation of the ability assessment of this type of sample is extremely large, and the calculation formula is .

[0046] In an embodiment of the present disclosure, the recheck inspection items are executed by two recheck institutions, and the two recheck institutions respectively obtain the first recheck result and the second recheck result, The method for evaluating the results of the food retained sample recheck inspection items further includes: Respectively determine the first recheck result and the second recheck result as the recheck results, calculate the first deviation degree and the second deviation degree, and determine the deviation degree between the initial inspection result and the recheck result based on the first deviation degree and the second deviation degree.

[0047] In this embodiment, if there are two recheck institutions, it is necessary to calculate the first deviation degree based on the initial inspection result and the first recheck result, and at the same time calculate the second deviation degree based on the initial inspection result and the second recheck result, and then combine the first deviation degree and the second deviation degree to obtain the final deviation degree. The first deviation degree and the second deviation degree can be calculated respectively through the first formula, which will not be elaborated here. Among them, when calculating the first deviation degree, take the smaller set of data among the initial inspection result and the first recheck result as the standard value c1, and calculate the reproducibility standard deviation , and then calculate the first deviation degree; when calculating the second deviation degree, take the smaller set of data among the initial inspection result and the second recheck result as the standard value c2, and calculate the reproducibility standard deviation , and then calculate the second deviation degree.

[0048] In an embodiment of the present disclosure, determining the deviation degree between the initial inspection result and the recheck result based on the first deviation degree and the second deviation degree includes: If both the first deviation degree and the second deviation degree are less than or both the first deviation degree and the second deviation degree are greater than or equal to the first threshold, the average value of the first deviation degree and the second deviation degree is determined as the deviation degree between the preliminary inspection result and the re-inspection result; If one of the first deviation degree and the second deviation degree is greater than or equal to the first threshold, a third re-inspection agency is added, and the deviation degree between the preliminary inspection result and the re-inspection result is determined based on the third re-inspection result of the third re-inspection agency.

[0049] In this embodiment, if both the first deviation degree and the second deviation degree are less than or both the first deviation degree and the second deviation degree are greater than or equal to the first threshold, the final deviation degree can be determined by further processing the first deviation degree and the second deviation degree (such as taking the average value, etc.), so as to comprehensively consider the detection information of the two agencies and make the review and evaluation results more representative and accurate.

[0050] If one of the first deviation degree and the second deviation degree is greater than or equal to the first threshold and the other deviation degree is less than the first threshold, a third re-inspection agency is added for arbitration. For example, the third deviation degree is calculated based on the third re-inspection result of the third re-inspection agency, and the third deviation degree is determined as the final deviation degree.

[0051] In an embodiment of the present disclosure, based on the deviation degree, the review and evaluation result of the review inspection item is determined, including: If the deviation degree is less than the first threshold, the review and evaluation result of the review inspection item is determined to pass the re-inspection; If the deviation degree is greater than or equal to the first threshold, the review and evaluation result of the review inspection item is determined to fail the re-inspection.

[0052] In this embodiment, the deviation degree can use the z-score. When |z| < 3.0, it is considered that the preliminary inspection and the re-inspection results are consistent; when |z| ≥ 3, it is considered that the preliminary inspection and the re-inspection results are inconsistent.

[0053] The specific judgment results are as follows: (1) If there is one re-inspection agency and the deviation between the result of the preliminary inspection agency and the result of the re-inspection agency is within the limit, the conclusion of the sample retention review inspection is passed.

[0054] (2) If the deviations between the result of the preliminary inspection agency and the results of multiple re-inspection agencies all exceed the limit, it is determined that the re-inspection results are inconsistent.

[0055] (3) If the deviation between the result of the preliminary inspection agency and the result of one re-inspection agency is within the limit and the deviation between the result of the preliminary inspection agency and the result of another re-inspection agency exceeds the limit, a third re-inspection agency is added for arbitration.

[0056] (4)For the initial inspection agency, additional tests are conducted on samples of the same project and the same major food category. When the recheck results of all samples are consistent, the conclusion of the retained sample recheck inspection is passed; if the recheck results of any batch of samples are inconsistent, the conclusion of the retained sample recheck inspection is not passed.

[0057] Through the additional tests, it is determined whether there are obvious systematic errors or random errors in the detection process of the initial inspection agency for this project, providing a reference basis for the assessment and management agency to clarify what appropriate post-disposal measures should be taken for the agency.

[0058] Corresponding to the food retained sample recheck inspection project result evaluation method in the above embodiment, Figure 2 is the structural block diagram of the food retained sample recheck inspection project result evaluation system provided by an embodiment of the present disclosure. For the sake of convenience of description, only the parts related to the embodiments of the present disclosure are shown. Refer to Figure 2 The food retained sample recheck inspection project result evaluation system 20 includes: a capability evaluation standard deviation calculation module 21, a deviation calculation module 22, and a recheck result output module 23.

[0059] Among them, the capability evaluation standard deviation calculation module 21 is used to calculate the capability evaluation standard deviation based on the precision test if the detection method of the recheck inspection project has a repeatability limit, a reproducibility limit, or precision; if the detection method of the recheck inspection project does not have a repeatability limit, a reproducibility limit, or precision, calculate the capability evaluation standard deviation based on the Horwitz model; The deviation calculation module 22 is used to calculate the deviation between the initial inspection result and the recheck result of the recheck inspection project based on the capability evaluation standard deviation, the initial inspection result, and the recheck result; The recheck result output module 23 is used to determine the recheck evaluation result of the recheck inspection project based on the deviation.

[0060] In an embodiment of the present disclosure, the deviation calculation module 22 is specifically used for: Calculating the deviation between the initial inspection result and the recheck result of the recheck inspection project through the first formula; the first formula is:

[0061] Among them, represents the deviation, represents the initial inspection result of the recheck inspection project, represents the recheck result of the recheck inspection project, represents the capability evaluation standard deviation.

[0062] In an embodiment of the present disclosure, the deviation calculation module 22 is specifically further used for: If the detection method of the recheck inspection project has a repeatability limit, a reproducibility limit, or precision, calculate the capability evaluation standard deviation based on the precision test ; If the detection method for the recheck test item does not have a repeatability limit, a reproducibility limit, or precision, calculate the standard deviation of the ability assessment based on the Horwitz model .

[0063] In an embodiment of the present disclosure, the deviation calculation module 22 is further specifically configured to: Calculate the repeatability standard deviation based on precision; Calculate the reproducibility standard deviation based on the repeatability standard deviation; Calculate the standard deviation of the ability assessment based on the reproducibility standard deviation .

[0064] In an embodiment of the present disclosure, the deviation calculation module 22 is further specifically configured to: Calculate the reproducibility standard deviation based on the Horwitz model; Calculate the standard deviation of the ability assessment based on the reproducibility standard deviation .

[0065] In an embodiment of the present disclosure, the deviation calculation module 22 is further specifically configured to: If the sample type corresponding to the recheck test item is industrially processed food and is a liquid sample, calculate the standard deviation of the ability assessment through the formula or ; ; If the sample type corresponding to the recheck test item is industrially processed food and is solid powder, calculate the standard deviation of the ability assessment through the formula or ; ; If the sample type corresponding to the recheck test item is industrially processed food and the matrix is solid particles or lumps, calculate the standard deviation of the ability assessment through the formula or ; ; If the sample type corresponding to the recheck test item is edible agricultural product, calculate the standard deviation of the ability assessment through the formula ; .

[0066] In an embodiment of the present disclosure, the recheck test item is executed by two recheck institutions, and the two recheck institutions respectively obtain a first recheck result and a second recheck result. The deviation calculation module 22 is specifically configured to: The food sample retention recheck test item result evaluation method further includes: Respectively determine the first recheck result and the second recheck result as the recheck results, calculate the first deviation and the second deviation, and determine the deviation between the initial inspection result and the recheck result based on the first deviation and the second deviation.

[0067] In one embodiment of the present disclosure, the deviation calculation module 22 is further specifically configured to: If both the first deviation and the second deviation are less than or both the first deviation and the second deviation are greater than or equal to the first threshold, determine the average value of the first deviation and the second deviation as the deviation between the preliminary inspection result and the re-inspection result; If one of the first deviation and the second deviation is greater than or equal to the first threshold, add a third re-inspection institution, and determine the deviation between the preliminary inspection result and the re-inspection result based on the third re-inspection result of the third re-inspection institution.

[0068] In one embodiment of the present disclosure, the review result output module 23 is specifically configured to: If the deviation is less than the first threshold, determine the review evaluation result of the review inspection item as passing the re-inspection; If the deviation is greater than or equal to the first threshold, determine the review evaluation result of the review inspection item as failing the re-inspection.

[0069] See Figure 3 , Figure 3 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure. As Figure 3 shown, the electronic device 300 in this embodiment may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The above-mentioned processors 301, input devices 302, output devices 303, and memories 304 communicate with each other through a communication bus 305. The memory 304 is used to store a computer program, and the computer program includes program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. Among them, the processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above device embodiments, such as Figure 2 the functions of the modules 21 to 23 shown.

[0070] It should be understood that in the embodiments of the present disclosure, the so-called processor 301 may be a central processing unit (Central Processing Unit, CPU), and this processor may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or this processor may also be any conventional processor, etc.

[0071] The input device 302 may include a touchpad, a fingerprint acquisition sensor (for acquiring the fingerprint information and the direction information of the fingerprint of the user), a microphone, etc., and the output device 303 may include a display (such as an LCD), a speaker, etc.

[0072] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A part of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may further store information about the device type.

[0073] In a specific implementation, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present disclosure may execute the implementation manners described in the first and second embodiments of the food sample retention review and inspection item result evaluation method provided by the embodiments of the present disclosure, and may also execute the implementation manner of the electronic device described in the embodiments of the present disclosure, which will not be elaborated herein.

[0074] In another embodiment of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and the computer program includes program instructions. When the program instructions are executed by a processor, all or part of the processes in the above method embodiments are implemented. It may also be completed by instructing relevant hardware through the computer program. The computer program may be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above method embodiments may be implemented. Among them, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0075] A computer-readable storage medium may be an internal storage unit of the electronic device in any of the foregoing embodiments, such as the hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device. Further, the computer-readable storage medium may also include both the internal storage unit and the external storage device of the electronic device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0076] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the composition and steps of the examples have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this disclosure.

[0077] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described electronic devices and units can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0078] In several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or communication connection to each other can be an indirect coupling or communication connection through some interfaces or units, or can also be a connection in electrical, mechanical, or other forms.

[0079] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or can also be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of this disclosure.

[0080] In addition, in each embodiment of the present disclosure, each functional unit may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0081] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present disclosure can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A method for evaluating the results of food sample review and inspection items, characterized in that: include: If the test method for the verification test item has repeatability limits, reproducibility limits or precision, the capability assessment standard deviation shall be calculated based on the precision test; If the test method for the recheck test item does not have repeatability limits, reproducibility limits or precision, the capability assessment standard deviation shall be calculated based on the Horvitz model; Calculate the degree of deviation between the initial inspection result and the re-inspection result of the re-inspection item based on the capability assessment standard deviation, the initial inspection result and the re-inspection result; A review evaluation result of the review inspection item is determined based on the deviation.

2. The method for evaluating the results of food sample review and inspection items according to claim 1, characterized in that: Calculating the degree of deviation between the initial inspection result and the re-inspection result of the re-inspection item based on the capability assessment standard deviation, the initial inspection result and the re-inspection result includes: The deviation between the initial inspection result and the re-inspection result of the re-inspection item is calculated by the first formula; the first formula is: in, Indicates the deviation, Indicates the initial inspection results of the re-inspection items. Indicates the retest results. Represents the standard deviation of ability assessment.

3. The method for evaluating the results of food sample review and inspection items according to claim 1, characterized in that: The calculation capability of the precision test based on the standard deviation of the assessment includes: Calculate the repeatability standard deviation based on precision; Calculate the reproducibility standard deviation based on the repeatability standard deviation; The capability assessment standard deviation was calculated based on the reproducibility standard deviation.

4. The method for evaluating the results of food sample review and inspection items according to claim 1, characterized in that: The ability assessment standard deviation calculated based on the Horvitz model includes: The reproducibility standard deviation was calculated based on the Horwitz model; The capability assessment standard deviation was calculated based on the reproducibility standard deviation.

5. The method for evaluating the results of food sample review and inspection items according to claim 3 or 4, characterized in that: The step of calculating the capability assessment standard deviation based on the reproducibility standard deviation comprises: If the sample type corresponding to the recheck inspection item is industrial processed food and is a liquid sample, the formula or Computational ability assessment standard deviation ; If the sample type corresponding to the recheck test item is industrial processed food and is solid powder, the formula or Computational ability assessment standard deviation ; If the sample type corresponding to the recheck test item is industrial processed food and the matrix is ​​solid particles or blocks, the formula or Computational ability assessment standard deviation ; If the sample type corresponding to the re-inspection item is edible agricultural product, the formula Computational ability assessment standard deviation .

6. The method for evaluating the results of food sample review and inspection items according to claim 1, characterized in that: The re-inspection items are performed by two re-inspection agencies, and the two re-inspection agencies obtain the first re-inspection result and the second re-inspection result respectively. The method for evaluating the results of the food sample re-inspection items also includes: The first re-inspection result and the second re-inspection result are respectively determined as re-inspection results, a first deviation and a second deviation are calculated, and the deviation between the initial inspection result and the re-inspection result is determined based on the first deviation and the second deviation.

7. The method for evaluating the results of food sample review and inspection items according to claim 6, characterized in that: The determining the deviation between the initial inspection result and the re-inspection result based on the first deviation and the second deviation comprises: If the first deviation and the second deviation are both less than a first threshold or the first deviation and the second deviation are both greater than or equal to the first threshold, an average of the first deviation and the second deviation is determined as the deviation between the initial inspection result and the re-inspection result; If one of the first deviation and the second deviation is greater than or equal to a first threshold, a third re-inspection agency is added, and the deviation between the initial inspection result and the re-inspection result is determined based on the third re-inspection result of the third re-inspection agency.

8. The method for evaluating the results of food sample review and inspection items according to claim 1, characterized in that: The step of determining the review evaluation result of the review inspection item based on the deviation includes: If the deviation is less than the first threshold, the review evaluation result of the review inspection item is determined as having passed the review inspection; If the degree of deviation is greater than or equal to the first threshold, the review evaluation result of the review inspection item is determined as failing the review inspection.

9. A food sample review and inspection project result evaluation system, characterized in that: include: The capability assessment standard deviation calculation module is used to calculate the capability assessment standard deviation based on the precision test if the detection method of the review inspection item has repeatability limit, reproducibility limit or precision; If the test method for the recheck test item does not have repeatability limits, reproducibility limits or precision, the capability assessment standard deviation shall be calculated based on the Horvitz model; A deviation calculation module, used to calculate the deviation between the initial inspection result and the re-inspection result of the review inspection item based on the capability assessment standard deviation, the initial inspection result and the re-inspection result; The review result output module is used to determine the review evaluation result of the review inspection item based on the deviation.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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