Food safety detection method and food safety detection system

Abstract

The present invention discloses a food safety detection method and a food safety detection system, and relates to the technical field of food detection. The present invention comprises: step one, monitoring of food sold in supermarkets, step two, analysis of detection parameters of supermarket food, step three, selection of detection samples of supermarket food, step four, detection of supermarket food, step five, detection and analysis of supermarket food, and step six, display processing. The present invention ensures the accuracy of the detection quantity and sampling frequency of various types of food in supermarkets, thereby improving the reliability of subsequent safety detection results of various types of food in supermarkets, avoiding waste of human and material resources to a certain extent, and reducing the risk to the physical health and life safety of consumers. On the other hand, the dimensions of the analysis of the sampling quantity and sampling frequency of various types of food in supermarkets are relatively rich, thereby ensuring the evaluation of consumers on the subsequent sale of various types of food in supermarkets, reducing the probability of consumer complaints, and thus reducing the probability of supermarkets being punished.

Description

Technical Field

[0001] The present invention relates to the technical field of food detection, and in particular to a food safety detection method and a food safety detection system. Background Art

[0002] In modern society, with the accelerated pace of life and the change in consumption patterns, supermarkets and large shopping malls have become the main places for people to buy food on a daily basis. Supermarkets have attracted a large number of consumers with their convenience, speed, and rich variety. Food safety is directly related to the physical health and life safety of consumers, so food quality and safety has always been the focus of public attention. If there are quality problems with the food sold in supermarkets, it may cause health problems such as food poisoning for consumers, or even endanger their lives. Through effective food safety testing, potential food safety hazards can be discovered and eliminated in a timely manner, reducing the occurrence of foodborne diseases. Therefore, it is extremely important and necessary to conduct safety testing on food in supermarkets.

[0003] The existing technology for food safety testing in supermarkets can meet the current requirements to a certain extent, but there are still certain defects, which are specifically reflected in: most of the existing technologies conduct random inspections on supermarket foods through set random inspection quantities and random inspection frequencies, and the analysis of parameters affecting the random inspection quantity and random inspection frequency is not in-depth enough. On the one hand, there is not much attention paid to the historical inspection data, sales data and feedback data of various foods in supermarkets. The historical inspection data reflects the historical quality of the food to a certain extent, the sales data reflects the competitiveness of the food to a certain extent, and the feedback data reflects the evaluation of consumers to a certain extent. The historical quality, competitiveness and consumer evaluation of various foods in supermarkets reflect the quality and safety of the food to a certain extent. The neglect of this aspect in the existing technology makes it difficult to ensure the accuracy of the inspection quantity and random inspection frequency of various foods in supermarkets, thereby reducing the reliability of subsequent safety inspection results of various foods in supermarkets, thereby causing a waste of manpower and material resources to a certain extent, and endangering the physical health and life safety of consumers. On the other hand, the analysis of the environmental risk assessment coefficient of supermarkets is not in-depth enough. The humidity and temperature inside supermarkets play a key role in the growth of bacteria. The environment inside supermarkets has a certain correlation with food quality. It is easy for food inside supermarkets to deteriorate due to environmental factors. The neglect of this aspect in the existing technology has led to the lack of rich dimensions in the analysis of the number and frequency of random inspections of various types of food in supermarkets, which affects the subsequent evaluation of consumers after the sale of various types of food in supermarkets, increases the probability of consumer complaints, and thus increases the probability of supermarkets being punished, making it difficult to maintain the public reputation of supermarkets. Summary of the invention

[0004] The purpose of the present invention is to provide a food safety detection method and a food safety detection system to solve the problems existing in the background technology.

[0005] To solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides a food safety detection method, including: Step 1, monitoring food sold in supermarkets: monitoring the sales records of supermarkets, obtaining the sales records of various types of food in supermarkets in a set period, and monitoring customer feedback of supermarkets, obtaining feedback records of various types of food in supermarkets in a set period, and monitoring the environment of supermarkets in the set period to obtain the environmental parameters of supermarkets in the set period.

[0006] Step 2: Analysis of supermarket food testing parameters: Obtain historical testing data of various types of food belonging to supermarkets in various historical testing cycles from the Food Safety Supervision Center, and analyze the appropriate number and frequency of random inspections for various types of food in supermarkets in the target period.

[0007] Step 3. Selection of food testing samples in supermarkets: Based on the appropriate number of random inspections and the appropriate frequency of random inspections of various types of food in supermarkets during the target period, select samples for each random inspection of various types of food in supermarkets during the target period to obtain the random inspection samples of each type of food in supermarkets during the target period.

[0008] Step 4: Supermarket food testing: Conduct safety testing on each sample of each type of food in the supermarket during the target period, and obtain the characteristic values ​​of each data of each safety testing item of each sample of each type of food in the supermarket during the target period.

[0009] Step 5. Supermarket food testing and analysis: Analyze the testing risk assessment index of various types of food in supermarkets during the target period, screen various types of risky foods in supermarkets during the target period, and screen the treatment plans for supermarkets during the target period.

[0010] Step 6: Display processing: Display the processing plans for various risky foods in the supermarket during the target period.

[0011] Preferably, the sales record includes the daily sales quantity, the feedback record includes the number of complaints of each complaint type, and the environmental parameters include the daily humidity mean, temperature mean, humidity difference and temperature difference.

[0012] Preferably, the analysis of the appropriate number and frequency of random inspections of various types of food in the supermarket during the target period is specifically performed by: analyzing the historical inspection data of various types of food in the supermarket during each historical inspection period, and analyzing the historical inspection risk assessment index ε of various types of food in the supermarket. i , where i is the number of each type of food, i=1,2,...,n, and n is any integer greater than 2.

[0013] Based on the sales records, feedback records and environmental parameters of various types of food in supermarkets during the set period, the competitiveness evaluation coefficient η of various types of food in supermarkets during the set period is calculated. i , Complaint risk assessment coefficient μ i and environmental risk assessment factors Conduct analysis.

[0014] Analyze the testing needs of various types of food in supermarkets within a set period Among them, λ1, λ2, λ3, and λ4 represent the weight influencing factors of the predefined historical detection risk assessment index, competitiveness assessment coefficient, complaint risk assessment coefficient, and environmental risk assessment coefficient, respectively.

[0015] Multiply the inspection demand of each type of food in the supermarket in the set period by the number of random inspections corresponding to the unit inspection demand stored in the web database, and round up to get the number of random inspections of each type of food in the supermarket in the set period, which is used as the appropriate number of random inspections of each type of food in the supermarket in the target period.

[0016] Compare the inspection demand of each type of food in the supermarket in the set period with the inspection demand range corresponding to each sampling frequency stored in the web database, screen the sampling frequency of each type of food in the supermarket in the set period, and use it as the appropriate sampling frequency of each type of food in the supermarket in the target period.

[0017] Preferably, the historical detection risk assessment index ε of each type of food in the supermarket i The specific analysis method is as follows: extract the characteristic values ​​of each data of each safety inspection item of each sample from the historical inspection data of each type of food belonging to the supermarket in each historical inspection cycle, and compare it with the appropriate intervals of each data of each safety inspection item of each type of food stored in the web database. If the characteristic values ​​of a certain data of a certain safety inspection item of a certain sample of a certain type of food belonging to the supermarket in a certain historical inspection cycle are all within the appropriate interval, then the risk value of the safety inspection item is recorded as A, otherwise, it is recorded as A′, and the risk values ​​of each safety inspection item of each sample of each type of food belonging to the supermarket in each historical inspection cycle are obtained, and the average value is processed to obtain the risk value of each sample of each type of food belonging to the supermarket in each historical inspection cycle.

[0018] Filter all qualified random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle, and count the number of qualified random inspection samples and the number of random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle. Divide the number of qualified random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle by the number of random inspection samples to obtain the qualified rate B of various types of food belonging to supermarkets in each historical inspection cycle. im, where m is the number of each historical detection cycle, m=1,2,...,l, and l is any integer greater than 2.

[0019] Analyze the historical testing risk assessment index of various types of food in supermarkets Where l is the number of historical detection cycles.

[0020] Preferably, the competitiveness evaluation coefficient η of various types of food in supermarkets in a set period is i The specific analysis method is: extract the daily sales quantity K from the sales records of various types of food in the supermarket in the set period ip , where p is the number of each day, p = 1, 2, ..., q, q is any integer greater than 2, and analyzes the sales stability evaluation index of various types of food in the supermarket in the set period Where q is the number of days.

[0021] Evaluate the competitiveness of various types of food in supermarkets in a set period Among them, γ1, γ2, and γ3 represent the proportion factors corresponding to the predefined sales stability, sales growth trend, and single-day sales quantity, respectively.

[0022] Preferably, the risk assessment coefficient μ for complaints against various types of food in supermarkets during a set period is i The specific analysis method is as follows: extract the number of complaints of each complaint type from the feedback records of various types of food in the supermarket in a set period, and extract the number of complaints of a specified type from them.

[0023] Compare the number of complaints about a specified type of food in a supermarket during a set period with the safety complaint threshold stored in the web database. If the number of complaints about a specified type of food in a supermarket during a set period is less than or equal to the safety complaint threshold, the complaint risk assessment value of this type of food is recorded as C. Otherwise, the number of complaints about this type of food is divided by the safety complaint threshold to obtain the complaint risk assessment value C′ of this type of food. Calculate the complaint risk assessment coefficient μ of each type of food in the supermarket during the target period. i , where μ i =C or C′.

[0024] Preferably, the environmental risk assessment coefficients of various types of food sold in supermarkets during a set period are The specific analysis method is as follows: the daily humidity mean, temperature mean, humidity difference and temperature difference are extracted from the environmental parameters of the supermarket in a set period, and the suitable humidity mean range, suitable temperature mean range, suitable humidity difference range and suitable temperature difference range of the supermarket are extracted from the web database.

[0025] The average humidity and humidity difference of each day in the set period of the supermarket are compared with the suitable humidity average range and the suitable humidity difference range respectively. If the average humidity of a certain day is within the suitable humidity average range, and the humidity difference of that day is within the suitable humidity difference range, then the suitable humidity value of that day is recorded as Y, otherwise, it is recorded as Y′, and the suitable humidity value ξ of each day in the set period of the supermarket is obtained by statistics. p , where ξ p =Y or Y′.

[0026] Analyze the humidity quality assessment coefficient of supermarkets in a set period Similarly, the temperature quality evaluation coefficient of supermarkets in the set period is analyzed.

[0027] The humidity quality assessment coefficient and temperature quality assessment coefficient of supermarkets in the set period are averaged to obtain the environmental risk assessment coefficient of various foods in the set period.

[0028] Preferably, the specific method of performing safety inspection on each sample of each type of food sampled at each inspection in the target period of the supermarket is as follows: obtaining each safety inspection item corresponding to each type of food from a web database, and then performing safety inspection on each sample of each type of food sampled at each inspection in the target period of the supermarket based on the obtained safety inspection items.

[0029] Preferably, the processing scheme for screening supermarkets in the target period is specifically analyzed by: counting the number of risky foods G and the number of foods G′ in the target period in the supermarket, and extracting the detection risk assessment index β of each type of risky food in the supermarket in the target period based on the detection risk assessment index of each type of food in the supermarket in the target period j , where j is the number of each risk food, j = 1, 2, ..., k, k is any integer greater than 2, and evaluates the comprehensive quality risk assessment coefficient of supermarkets in the target period Where k is the number of risky foods.

[0030] The comprehensive quality risk assessment coefficient of the supermarket in the target period is compared with the comprehensive quality risk assessment coefficient interval corresponding to each treatment plan stored in the web database to screen the treatment plan of the supermarket in the target period.

[0031] A second aspect of the present invention provides a food safety detection system for executing any food safety detection method described in any one of the present invention, including: a supermarket food sales monitoring module, which is used to monitor the sales records of the supermarket, obtain the sales records of various types of food in the supermarket during a set period, and monitor the customer feedback of the supermarket, obtain the feedback records of various types of food in the supermarket during a set period, and monitor the environment of the supermarket during the set period to obtain the environmental parameters of the supermarket during the set period.

[0032] The supermarket food testing parameter parsing module is used to obtain the historical testing data of various types of food belonging to supermarkets in various historical testing cycles from the food safety supervision center, and analyze the appropriate sampling quantity and appropriate sampling frequency of various types of food in supermarkets in the target period.

[0033] The supermarket food testing sample selection module is used to select samples for each random inspection of each type of food in the supermarket during the target period based on the appropriate random inspection quantity and appropriate random inspection frequency of each type of food in the supermarket during the target period, and obtain the random inspection samples of each type of food in the supermarket during the target period.

[0034] The supermarket food inspection module is used to perform safety inspections on each sample of each type of food inspected at each time in the supermarket during the target period, and obtain the characteristic values ​​of each data of each safety inspection item of each sample of each type of food inspected at each time in the supermarket during the target period.

[0035] The supermarket food testing and analysis module is used to analyze the testing risk assessment index of various types of food in supermarkets in the target period, screen various types of risky foods in supermarkets in the target period, and screen the treatment solutions for supermarkets in the target period.

[0036] The display processing terminal is used to display the processing plans for various risky foods in the supermarket during the target period.

[0037] The beneficial effects of the present invention are: 1. In step one, the present invention monitors the sales records, customer feedback and environment of the supermarket in the supermarket sales food monitoring, so as to obtain the environmental parameters of the supermarket in a set period and the sales records and feedback records of various types of food, which lays a data support for the subsequent analysis of the supermarket food detection parameters.

[0038] 2. In step 2, analyzing food detection parameters in supermarkets, the present invention comprehensively analyzes the number and frequency of random inspections of various types of food in supermarkets through the environmental parameters of supermarkets and the historical detection data, sales data, and feedback data of various types of food. On the one hand, it makes up for the lack of high attention paid to the historical detection data, sales data, and feedback data of various types of food in supermarkets, and ensures the accuracy of the detection quantity and frequency of random inspections of various types of food in supermarkets, thereby improving the reliability of subsequent safety detection results of various types of food in supermarkets, avoiding the waste of manpower and material resources to a certain extent, and reducing the risk to the physical health and life safety of consumers.

[0039] On the other hand, it overcomes the defect of the existing technology that the analysis of the environmental risk assessment coefficient of supermarkets is not strong enough. The dimensions of the analysis of the number and frequency of random inspections of various types of food in supermarkets are relatively rich, which ensures the subsequent evaluation of consumers after the sale of various types of food in supermarkets, reduces the probability of consumer complaints, and thus reduces the probability of supermarkets being punished, which is conducive to maintaining the public reputation of supermarkets.

[0040] 3. In step three, selecting samples for supermarket food testing, the present invention selects samples for random inspection of various types of food in supermarkets during the target period, laying a foundation for supermarket food testing.

[0041] 4. In step 4, supermarket food testing, the present invention conducts safety testing on each sample of each type of food in the supermarket during the target period, and conducts targeted analysis of each safety testing item on each type of food, thereby improving the accuracy of subsequent risk analysis of various types of food.

[0042] 5. In step five, supermarket food detection and analysis, the present invention not only analyzes the detection risk assessment index of various types of food in supermarkets, but also analyzes the processing solutions of supermarkets in the target period. The analysis is more objective, reduces the error rate of manual evaluation, and improves the processing efficiency of supermarket food safety detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0045] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] Reference Figure 1 As shown, the first aspect of the present invention provides a food safety detection method and a food safety detection system, including: Step 1, monitoring food sales in supermarkets: monitoring the sales records of supermarkets, obtaining the sales records of various types of food in the supermarkets in a set period, and monitoring customer feedback of the supermarkets, obtaining feedback records of various types of food in the supermarkets in a set period, and monitoring the environment of the supermarkets in the set period to obtain the environmental parameters of the supermarkets in the set period.

[0048] In a specific embodiment of the present invention, the sales record includes the daily sales quantity, the feedback record includes the number of complaints of each complaint type, and the environmental parameters include the daily humidity mean, temperature mean, humidity difference and temperature difference.

[0049] It should be noted that the temperature difference is the maximum temperature minus the minimum temperature, and the humidity difference is the maximum humidity minus the minimum humidity.

[0050] It should be noted that the specific method for monitoring the sales records of supermarkets is as follows: the Food Safety Supervision Center issues food safety testing authorization requirements to supermarkets, and the supermarkets authorize the Food Safety Supervision Center to obtain the sales records of various types of food in the supermarkets within a set period from the supermarket transaction background, and authorize the Food Safety Supervision Center to obtain the environmental parameters of the supermarkets within a set period from the supermarket environment operation monitoring background.

[0051] It should be added that the supermarket environment operation monitoring background is used to monitor the environment of the supermarket, including but not limited to monitoring the temperature of the supermarket using a temperature sensor and monitoring the humidity of the supermarket using a humidity sensor.

[0052] It should also be noted that the specific method of monitoring customer feedback from supermarkets is to obtain feedback records of various types of food from supermarkets in a set period from the Food Safety Supervision Center.

[0053] In step one, the present invention monitors the sales records, customer feedback and environment of the supermarket in the supermarket sales monitoring, so as to obtain the environmental parameters of the supermarket in a set period and the sales records and feedback records of various types of food, laying a data support for the subsequent analysis of supermarket food detection parameters.

[0054] Step 2: Analysis of supermarket food testing parameters: Obtain historical testing data of various types of food belonging to supermarkets in various historical testing cycles from the Food Safety Supervision Center, and analyze the appropriate number and frequency of random inspections for various types of food in supermarkets in the target period.

[0055] In a specific embodiment of the present invention, the appropriate number and frequency of random inspections of various types of food in the supermarket during the target period are analyzed by a specific analysis method: based on the historical inspection data of various types of food in the supermarket during each historical inspection period, the historical inspection risk assessment index ε of various types of food in the supermarket is analyzed. i , where i is the number of each type of food, i=1,2,...,n, and n is any integer greater than 2.

[0056] Based on the sales records, feedback records and environmental parameters of various types of food in supermarkets during the set period, the competitiveness evaluation coefficient η of various types of food in supermarkets during the set period is calculated. i , Complaint risk assessment coefficient μ iand environmental risk assessment factors Conduct analysis.

[0057] Analyze the testing needs of various types of food in supermarkets within a set period Among them, λ1, λ2, λ3, and λ4 represent the weight influencing factors of the predefined historical detection risk assessment index, competitiveness assessment coefficient, complaint risk assessment coefficient, and environmental risk assessment coefficient, respectively.

[0058] It should be noted that the value ranges of λ1, λ2, λ3, and λ4 are all from 0 to 1.

[0059] Multiply the inspection demand of each type of food in the supermarket in the set period by the number of random inspections corresponding to the unit inspection demand stored in the web database, and round up to get the number of random inspections of each type of food in the supermarket in the set period, which is used as the appropriate number of random inspections of each type of food in the supermarket in the target period.

[0060] Compare the inspection demand of each type of food in the supermarket in the set period with the inspection demand range corresponding to each sampling frequency stored in the web database, screen the sampling frequency of each type of food in the supermarket in the set period, and use it as the appropriate sampling frequency of each type of food in the supermarket in the target period.

[0061] In a specific embodiment of the present invention, the historical detection risk assessment index ε of each type of food in the supermarket is i The specific analysis method is as follows: extract the characteristic values ​​of each data of each safety inspection item of each sample from the historical inspection data of each type of food belonging to the supermarket in each historical inspection cycle, and compare it with the appropriate intervals of each data of each safety inspection item of each type of food stored in the web database. If the characteristic values ​​of a certain data of a certain safety inspection item of a certain sample of a certain type of food belonging to the supermarket in a certain historical inspection cycle are all within the appropriate interval, then the risk value of the safety inspection item is recorded as A, otherwise, it is recorded as A′, and the risk values ​​of each safety inspection item of each sample of each type of food belonging to the supermarket in each historical inspection cycle are obtained, and the average value is processed to obtain the risk value of each sample of each type of food belonging to the supermarket in each historical inspection cycle.

[0062] Filter all qualified random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle, and count the number of qualified random inspection samples and the number of random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle. Divide the number of qualified random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle by the number of random inspection samples to obtain the qualified rate B of various types of food belonging to supermarkets in each historical inspection cycle. im , where m is the number of each historical detection cycle, m=1,2,...,l, and l is any integer greater than 2.

[0063] It should be noted that the specific screening method for screening the qualified random inspection samples of various types of food belonging to the supermarket in each historical inspection cycle is as follows: comparing the risk value of each random inspection sample of each type of food belonging to the supermarket in each historical inspection cycle with a predetermined risk threshold; if the risk value of a certain random inspection sample is less than or equal to the risk threshold, then the random inspection sample is recorded as a qualified random inspection sample, and the qualified random inspection samples of each type of food belonging to the supermarket in each historical inspection cycle are obtained.

[0064] Analyze the historical testing risk assessment index of various types of food in supermarkets Where l is the number of historical detection cycles.

[0065] In a specific embodiment of the present invention, the competitiveness evaluation coefficient η of each type of food in the supermarket in the set period is i The specific analysis method is: extract the daily sales quantity K from the sales records of various types of food in the supermarket in the set period ip , where p is the number of each day, p = 1, 2, ..., q, q is any integer greater than 2, and analyzes the sales stability evaluation index of various types of food in the supermarket in the set period Where q is the number of days.

[0066] Evaluate the competitiveness of various types of food in supermarkets in a set period Among them, γ1, γ2, and γ3 represent the proportion factors corresponding to the predefined sales stability, sales growth trend, and single-day sales quantity, respectively.

[0067] It should be noted that the value ranges of γ1, γ2, and γ3 are all from 0 to 1.

[0068] In a specific embodiment of the present invention, the complaint risk assessment coefficient μ for each type of food in a supermarket in a set period is i The specific analysis method is as follows: extract the number of complaints of each complaint type from the feedback records of various types of food in the supermarket in a set period, and extract the number of complaints of a specified type from them.

[0069] It should be noted that the complaint types include food safety types, labeling and advertising types, and service quality types, etc.

[0070] It should be further explained that the designated type is a food safety type.

[0071] Compare the number of complaints about a specified type of food in a supermarket during a set period with the safety complaint threshold stored in the web database. If the number of complaints about a specified type of food in a supermarket during a set period is less than or equal to the safety complaint threshold, the complaint risk assessment value of this type of food is recorded as C. Otherwise, the number of complaints about this type of food is divided by the safety complaint threshold to obtain the complaint risk assessment value C′ of this type of food. Calculate the complaint risk assessment coefficient μ of each type of food in the supermarket during the target period. i , where μ i =C or C′.

[0072] In a specific embodiment of the present invention, the environmental risk assessment coefficients of various types of food in supermarkets during a set period are The specific analysis method is as follows: the daily humidity mean, temperature mean, humidity difference and temperature difference are extracted from the environmental parameters of the supermarket in a set period, and the suitable humidity mean range, suitable temperature mean range, suitable humidity difference range and suitable temperature difference range of the supermarket are extracted from the web database.

[0073] The average humidity and humidity difference of each day in the set period of the supermarket are compared with the suitable humidity average range and the suitable humidity difference range respectively. If the average humidity of a certain day is within the suitable humidity average range, and the humidity difference of that day is within the suitable humidity difference range, then the suitable humidity value of that day is recorded as Y, otherwise, it is recorded as Y′, and the suitable humidity value ξ of each day in the set period of the supermarket is obtained by statistics. p , where ξ p =Y or Y′.

[0074] Analyze the humidity quality assessment coefficient of supermarkets in a set period Similarly, the temperature quality evaluation coefficient of supermarkets in the set period is analyzed.

[0075] The humidity quality assessment coefficient and temperature quality assessment coefficient of supermarkets in the set period are averaged to obtain the environmental risk assessment coefficient of various foods in the set period.

[0076] The present invention comprehensively analyzes the sampling quantity and sampling frequency of various types of food in the supermarket through the environmental parameters of the supermarket and the historical testing data, sales data and feedback data of various types of food in the supermarket in step 2, analyzing the testing parameters of supermarket food. On the one hand, it makes up for the lack of high attention paid to the historical testing data, sales data and feedback data of various types of food in the supermarket, and ensures the accuracy of the testing quantity and sampling frequency of various types of food in the supermarket, thereby improving the reliability of subsequent safety testing results of various types of food in the supermarket, avoiding the waste of manpower and material resources to a certain extent, and reducing the risk to the physical health and life safety of consumers.

[0077] On the other hand, it overcomes the defect of the existing technology that the analysis of the environmental risk assessment coefficient of supermarkets is not strong enough. The dimensions of the analysis of the number and frequency of random inspections of various types of food in supermarkets are relatively rich, which ensures the subsequent evaluation of consumers after the sale of various types of food in supermarkets, reduces the probability of consumer complaints, and thus reduces the probability of supermarkets being punished, which is conducive to maintaining the public reputation of supermarkets.

[0078] Step 3. Selection of food testing samples in supermarkets: Based on the appropriate number of random inspections and the appropriate frequency of random inspections of various types of food in supermarkets during the target period, select samples for each random inspection of various types of food in supermarkets during the target period to obtain the random inspection samples of each type of food in supermarkets during the target period.

[0079] It should be noted that the sample selection for each random inspection of various types of food in supermarkets during the target period is done by random sampling.

[0080] In step three, selecting samples for supermarket food testing, the present invention selects samples for random inspection of various types of food in supermarkets during a target period, laying a foundation for supermarket food testing.

[0081] Step 4: Supermarket food testing: Conduct safety testing on each sample of each type of food in the supermarket during the target period, and obtain the characteristic values ​​of each data of each safety testing item of each sample of each type of food in the supermarket during the target period.

[0082] In a specific embodiment of the present invention, the specific method of conducting safety inspection on each sample of each type of food sampled at each inspection in a supermarket during a target period is as follows: obtaining each safety inspection item corresponding to each type of food from a web database, and then conducting safety inspection on each sample of each type of food sampled at each inspection in a supermarket during the target period based on the obtained safety inspection items.

[0083] In a specific embodiment, if the type of a food is vegetables, the safety detection items are pesticide component detection, heavy metal detection and microbial detection, and then the content of each pesticide component, the content of each heavy metal and the content of each microorganism are obtained.

[0084] It should be noted that the pesticide components are detected using fluorescent sensors to obtain the content of each pesticide component, the heavy metals are detected using DNA fluorescent biosensors to obtain the content of each heavy metal, and the microorganisms are detected using biosensors to obtain the content of each microorganism.

[0085] In another specific embodiment, if the type of a food is meat, the safety detection items are veterinary drug residue detection, color detection, moisture detection and additive detection, and then the content of each veterinary drug, chromaticity value, moisture content, and content of each additive are obtained.

[0086] It should be noted that veterinary drug residues are detected using biosensors to obtain the content of each veterinary drug, food is photographed using a camera to obtain pictures of the food, and then various chromaticity values ​​of the pictures of the food are extracted and averaged to obtain chromaticity values, moisture is detected using a moisture meter to obtain moisture content, and additives are detected using molecular spectroscopy technology to obtain the content of each additive.

[0087] In another specific embodiment, if the type of a food is an industrial processed product, the safety inspection items are label inspection, sealing inspection and microbial inspection, and then the overlap of each label information, the sealing performance level, and the content of each microorganism are obtained.

[0088] It should be noted that a camera is used to capture images of food to obtain photographic images of the food, keywords of each label information are extracted, and standard keywords of each label information of the food are extracted from a web database, overlapping keywords of each label information of the food are screened, the number of overlapping keywords of each label information of the food and the number of standard keywords are counted, and the number of overlapping keywords of each label information of the food is divided by the number of standard keywords to obtain the overlap of each label information, and an airtightness tester is used to test the sealing performance to obtain the test pressure of the food, which is then compared with the test pressure range corresponding to each sealing performance level stored in the web database to obtain the sealing performance level, and a biosensor is used to test microorganisms to obtain the content of each microorganism.

[0089] In step 4, supermarket food testing, the present invention performs safety testing on each sample of each type of food in the supermarket during the target period, performs targeted analysis of each safety testing item on each type of food, and improves the accuracy of subsequent risk analysis of each type of food.

[0090] Step 5. Supermarket food testing and analysis: Analyze the testing risk assessment index of various types of food in supermarkets during the target period, screen various types of risky foods in supermarkets during the target period, and screen the treatment plans for supermarkets during the target period.

[0091] It should be noted that the specific analysis method for analyzing the safety assessment index of various types of food in supermarkets during the target period is: consistent with the analysis method of the pass rate of various types of food in supermarkets in each historical inspection cycle, analyzing the pass rate of various types of food in supermarkets during the target period in each random inspection, and consistent with the analysis method of the historical inspection risk assessment index of various types of food in supermarkets, analysis to obtain the inspection risk assessment index of various types of food in supermarkets during the target period.

[0092] It should also be noted that the specific screening method for screening various risky foods in supermarkets during the target period is: comparing the detection risk assessment index of various types of foods in supermarkets during the target period with a predefined detection risk assessment index threshold; if the detection risk assessment index of a certain type of food is greater than or equal to the detection risk assessment index threshold, then this type of food is recorded as a risky food, and the various types of risky foods in the supermarket during the target period are obtained.

[0093] In a specific embodiment of the present invention, the processing scheme for screening supermarkets in the target period is specifically analyzed by counting the number of risky foods G and the number of foods G′ in the supermarket in the target period, and extracting the detection risk assessment index β of each type of risky food in the supermarket in the target period based on the detection risk assessment index of each type of food in the supermarket in the target period. j , where j is the number of each risk food, j = 1, 2, ..., k, k is any integer greater than 2, and evaluates the comprehensive quality risk assessment coefficient of supermarkets in the target period Where k is the number of risky foods.

[0094] The comprehensive quality risk assessment coefficient of the supermarket in the target period is compared with the comprehensive quality risk assessment coefficient interval corresponding to each treatment plan stored in the web database to screen the treatment plan of the supermarket in the target period.

[0095] It should be noted that the handling options include fines, orders to rectify and suspend business, etc.

[0096] In step five, supermarket food detection and analysis, the present invention not only analyzes the detection risk assessment index of various types of food in the supermarket, but also analyzes the processing plan of the supermarket in the target period. The analysis is more objective, reduces the error rate of manual evaluation, and improves the processing efficiency of supermarket food safety detection.

[0097] Step 6: Display processing: Display the processing plans for various risky foods in the supermarket during the target period.

[0098] Reference Figure 2 As shown, the second aspect of the present invention provides a food safety detection system for use with any of the food safety detection methods described in the present invention, comprising: a supermarket food sales monitoring module, a supermarket food detection parameter parsing module, a supermarket food detection sample selection module, a supermarket food detection module, a supermarket food detection analysis module, a display processing terminal and a web database.

[0099] It should be noted that the supermarket food sales monitoring module is connected to the supermarket food detection parameter parsing module, the supermarket food detection parameter parsing module is connected to the supermarket food detection sample selection module, the supermarket food detection sample selection module is connected to the supermarket food detection module, the supermarket food detection module is connected to the supermarket food detection and analysis module, the supermarket food detection and analysis module is connected to the display processing terminal, and the web database is respectively connected to the supermarket food detection parameter parsing module, the supermarket food detection module and the supermarket food detection and analysis module.

[0100] It should also be noted that the web database is used to store the number of random inspections corresponding to the unit inspection requirement, store the inspection requirement interval corresponding to each random inspection frequency, store the appropriate interval of data values ​​for each safety inspection item of each type of food, store the threshold value for the number of safety complaints, store the appropriate humidity mean range, suitable temperature mean range, suitable humidity difference range and suitable temperature difference range of supermarkets, store each safety inspection item corresponding to each type of food, store the comprehensive quality risk assessment coefficient interval corresponding to each treatment plan, store each standard keyword for each label information, and store the inspection pressure interval corresponding to each sealing performance level.

[0101] The supermarket food sales monitoring module is used to monitor the supermarket's sales records, obtain the sales records of various types of food in the supermarket in a set period, monitor the supermarket's customer feedback, obtain the feedback records of various types of food in the supermarket in a set period, and monitor the supermarket's environment in a set period to obtain the supermarket's environmental parameters in the set period.

[0102] The supermarket food testing parameter parsing module is used to obtain the historical testing data of various types of food belonging to supermarkets in various historical testing cycles from the food safety supervision center, and analyze the appropriate sampling quantity and appropriate sampling frequency of various types of food in supermarkets in the target period.

[0103] The supermarket food testing sample selection module is used to select samples for each random inspection of each type of food in the supermarket during the target period based on the appropriate random inspection quantity and appropriate random inspection frequency of each type of food in the supermarket during the target period, and obtain the random inspection samples of each type of food in the supermarket during the target period.

[0104] The supermarket food inspection module is used to perform safety inspections on each sample of each type of food inspected at each time in the supermarket during the target period, and obtain the characteristic values ​​of each data of each safety inspection item of each sample of each type of food inspected at each time in the supermarket during the target period.

[0105] The supermarket food testing and analysis module is used to analyze the testing risk assessment index of various types of food in supermarkets in the target period, screen various types of risky foods in supermarkets in the target period, and screen the treatment solutions for supermarkets in the target period.

[0106] The display processing terminal is used to display the processing plans for various risky foods in the supermarket during the target period.

[0107] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A food safety detection method, characterized in that: include: Step 1: Monitoring of food sold in supermarkets: Monitor the sales records of supermarkets, obtain the sales records of various types of food in supermarkets in a set period, monitor customer feedback of supermarkets, obtain feedback records of various types of food in supermarkets in a set period, and monitor the environment of supermarkets in a set period to obtain environmental parameters of supermarkets in a set period; The sales record includes the daily sales quantity, the feedback record includes the number of complaints of each complaint type, and the environmental parameters include the daily humidity mean, temperature mean, humidity difference and temperature difference; Step 2: Analysis of supermarket food testing parameters: Obtain historical testing data of various types of food belonging to supermarkets in various historical testing cycles from the Food Safety Supervision Center, and analyze the appropriate number and frequency of random inspections of various types of food in supermarkets in the target cycle; The specific analysis method for analyzing the appropriate number and frequency of random inspections of various types of food in supermarkets during the target period is as follows: Based on the historical inspection data of various types of food belonging to supermarkets in each historical inspection cycle, the historical inspection risk assessment index ε of various types of food belonging to supermarkets is analyzed i , where i is the number of each type of food, i = 1, 2, ..., n, and n is any integer greater than 2; Based on the sales records, feedback records and environmental parameters of various types of food in supermarkets during the set period, the competitiveness evaluation coefficient η of various types of food in supermarkets during the set period is calculated. i , Complaint risk assessment coefficient μ i and environmental risk assessment factors Conduct analysis; Analyze the testing needs of various types of food in supermarkets within a set period Among them, λ1, λ2, λ3, and λ4 represent the weight influencing factors of the predefined historical detection risk assessment index, competitiveness assessment coefficient, complaint risk assessment coefficient, and environmental risk assessment coefficient, respectively; Multiply the testing demand of each type of food in the supermarket in the set period by the number of random inspections corresponding to the unit testing demand stored in the web database, and round it up to get the number of random inspections of each type of food in the supermarket in the set period, and use it as the appropriate number of random inspections of each type of food in the supermarket in the target period; Compare the testing requirements of various types of food in the supermarket in the set period with the testing requirements ranges corresponding to the sampling frequencies stored in the web database, select the sampling frequencies of various types of food in the supermarket in the set period, and use them as the appropriate sampling frequencies of various types of food in the supermarket in the target period; The historical detection risk assessment index ε of various types of food belonging to the supermarket i , the specific analysis method is: Extract the characteristic values ​​of each data of each safety test item of each sample from the historical test data of each type of food belonging to the supermarket in each historical test cycle, and compare it with the appropriate intervals of each data of each safety test item of each type of food stored in the web database. If the characteristic values ​​of a certain data of a certain safety test item of a certain sample of a certain type of food belonging to the supermarket in a certain historical test cycle are all within the appropriate interval, then the risk value of the safety test item is recorded as A, otherwise, it is recorded as A′, and the risk values ​​of each safety test item of each sample of each type of food belonging to the supermarket in each historical test cycle are obtained, and the average value is processed to obtain the risk value of each sample of each type of food belonging to the supermarket in each historical test cycle; Filter all qualified random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle, and count the number of qualified random inspection samples and the number of random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle. Divide the number of qualified random inspection samples of various types of food belonging to supermarkets in each historical inspection cycle by the number of random inspection samples to obtain the qualified rate B of various types of food belonging to supermarkets in each historical inspection cycle. im , where m is the number of each historical detection cycle, m = 1, 2, ..., l, l is any integer greater than 2; Analyze the historical testing risk assessment index of various types of food in supermarkets Where l is the number of historical detection cycles; Step 3: Selection of samples for supermarket food testing: Based on the appropriate number of random inspections and the appropriate frequency of random inspections of various types of food in supermarkets during the target period, samples for random inspections of various types of food in supermarkets during the target period are selected to obtain random inspection samples of various types of food in supermarkets during the target period; Step 4: Supermarket food testing: Conduct safety testing on each sample of each type of food sampled at each inspection in the target period of the supermarket, and obtain the characteristic values ​​of each data of each safety testing item of each sample of each type of food sampled at each inspection in the target period of the supermarket; Step 5: Supermarket food testing analysis: Analyze the testing risk assessment index of various types of food in supermarkets during the target period, screen various types of risky foods in supermarkets during the target period, and screen the treatment plans for supermarkets during the target period; The specific analysis method of analyzing the detection risk assessment index of various types of food in the supermarket during the target period is: consistent with the analysis method of the qualified rate of various types of food in the supermarket during each historical detection period, analyzing the qualified rate of various types of food in the supermarket during each sampling during the target period, and consistent with the analysis method of the historical detection risk assessment index of various types of food in the supermarket, analyzing to obtain the detection risk assessment index of various types of food in the supermarket during the target period; Step 6: Display processing: Display the processing plans for various risky foods in the supermarket during the target period.

2. A food safety detection method according to claim 1, characterized in that: The competitiveness evaluation coefficient η of various types of food in supermarkets in the set period i The specific analysis method is as follows: Extract the daily sales quantity K from the sales records of various types of food in the supermarket during the set period ip , where p is the number of each day, p = 1, 2, ..., q, q is any integer greater than 2, and analyzes the sales stability evaluation index of various types of food in the supermarket in the set period Where q is the number of days; Evaluate the competitiveness of various types of food in supermarkets in a set period Among them, γ1, γ2, and γ3 represent the proportion factors corresponding to the predefined sales stability, sales growth trend, and single-day sales quantity, respectively.

3. A food safety detection method according to claim 1, characterized in that: The risk assessment coefficient μ for complaints about various types of food in supermarkets during the set period i The specific analysis method is as follows: Extract the number of complaints of each type from the feedback records of various types of food in the supermarket in the set period, and extract the number of complaints of the specified type from them; Compare the number of complaints about a specified type of food in a supermarket during a set period with the safety complaint threshold stored in the web database. If the number of complaints about a specified type of food in a supermarket during a set period is less than or equal to the safety complaint threshold, the complaint risk assessment value of this type of food is recorded as C. Otherwise, the number of complaints about this type of food is divided by the safety complaint threshold to obtain the complaint risk assessment value C′ of this type of food. Calculate the complaint risk assessment coefficient μ of each type of food in the supermarket during the target period. i , where μ i =C or C′.

4. A food safety detection method according to claim 1, characterized in that: The environmental risk assessment coefficients for various types of food in supermarkets within a set period The specific analysis method is as follows: Extract the daily humidity mean, temperature mean, humidity difference and temperature difference from the environmental parameters of the supermarket in the set period, and extract the suitable humidity mean range, suitable temperature mean range, suitable humidity difference range and suitable temperature difference range of the supermarket from the web database; The average humidity and humidity difference of each day in the set period of the supermarket are compared with the suitable humidity average range and the suitable humidity difference range respectively. If the average humidity of a certain day is within the suitable humidity average range, and the humidity difference of that day is within the suitable humidity difference range, then the suitable humidity value of that day is recorded as Y, otherwise, it is recorded as Y′, and the suitable humidity value ξ of each day in the set period of the supermarket is obtained by statistics. p , where ξ p =Y or Y′; Analyze the humidity quality assessment coefficient of supermarkets in a set period Similarly, the temperature quality evaluation coefficient of supermarkets in the set period is analyzed; The humidity quality assessment coefficient and temperature quality assessment coefficient of supermarkets in the set period are averaged to obtain the environmental risk assessment coefficient of various foods in the set period.

5. A food safety detection method according to claim 1, characterized in that: The specific method of conducting safety testing on each sample of each type of food in the supermarket during the target period is as follows: The safety testing items corresponding to each type of food are obtained from the web database, and then safety testing is performed on each sample of each type of food in the supermarket during the target period.

6. A food safety detection method according to claim 1, characterized in that: The specific analysis method of the processing scheme for screening supermarkets in the target period is as follows: The number of risky foods G and the number of foods G′ in the target period of supermarkets are counted, and based on the detection risk assessment index of various types of food in supermarkets in the target period, the detection risk assessment index β of various types of risky foods in supermarkets in the target period is extracted. j , where j is the number of each risk food, j = 1, 2, ..., k, k is any integer greater than 2, and evaluates the comprehensive quality risk assessment coefficient of supermarkets in the target period Where k is the number of risky foods; The comprehensive quality risk assessment coefficient of the supermarket in the target period is compared with the comprehensive quality risk assessment coefficient interval corresponding to each treatment plan stored in the web database to screen the treatment plan of the supermarket in the target period.

7. A food safety detection system for executing the food safety detection method according to any one of claims 1 to 6, characterized in that: include: The supermarket sales food monitoring module is used to monitor the supermarket's sales records, obtain the supermarket's sales records of various types of food in a set period, monitor the supermarket's customer feedback, obtain the supermarket's feedback records of various types of food in a set period, and monitor the supermarket's environment in a set period to obtain the supermarket's environmental parameters in the set period; The supermarket food testing parameter analysis module is used to obtain the historical testing data of various types of food belonging to supermarkets in various historical testing cycles from the Food Safety Supervision Center, and analyze the appropriate number and frequency of random inspections of various types of food in supermarkets in the target cycle; The supermarket food testing sample selection module is used to select samples for each random inspection of each type of food in the supermarket in the target period based on the appropriate random inspection quantity and appropriate random inspection frequency of each type of food in the supermarket in the target period, and obtain the random inspection samples of each type of food in the supermarket in the target period at each random inspection; The supermarket food detection module is used to perform safety detection on each sample of each type of food sampled at each inspection in the supermarket during the target period, and obtain the characteristic values ​​of each data of each safety detection item of each sample of each type of food sampled at each inspection in the supermarket during the target period; The supermarket food testing and analysis module is used to analyze the testing risk assessment index of various types of food in supermarkets in the target period, screen various types of risky foods in supermarkets in the target period, and screen the treatment solutions for supermarkets in the target period; The display processing terminal is used to display the processing plans for various risky foods in the supermarket during the target period.

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