A method for monitoring sterilization of food production equipment

Abstract

The application discloses a kind of food production equipment sterilization disinfection monitoring methods, it is related to equipment monitoring technical field, comprising: first, obtain and kill monitoring equipment and kill detection data;Using multi-device microbial analysis method obtains multi-device before-sterilization curve and multi-device after-sterilization curve;Obtain kill proportion and microbial proportion curve;Based on single-device comparison and multi-device comparison, sterilization and disinfection are monitored;The application is used to solve the problem that the accuracy of sterilization and disinfection monitoring decreases when the microbial content is more or the microbial species is more in the existing food production equipment sterilization disinfection monitoring method, because there are more microbial species and the microbial content changes greatly in food production equipment, the sterilization effect of multiple microorganisms in each food production equipment cannot be effectively monitored, resulting in.

Description

Technical Field

[0001] This invention relates to the field of equipment monitoring technology, specifically a method for monitoring the sterilization and disinfection of food production equipment. Background Technology

[0002] Sterilization and disinfection monitoring is the process of assessing whether a disinfection or sterilization process meets standards by detecting the effectiveness of microbial killing. Sterilization and disinfection monitoring of food production equipment is a systematic testing activity that verifies the performance and evaluates the effectiveness of sterilization and disinfection equipment used in food processing. The testing scope covers mainstream equipment such as pressure steam sterilizers, ethylene oxide sterilizers, ultraviolet disinfection vehicles, and plasma sterilization systems. The core testing indicators include sterilization efficiency, physical parameters, safety, and environmental adaptability.

[0003] Existing methods for monitoring the sterilization and disinfection of food production equipment typically involve obtaining the equipment's sterilization rate and sterilization threshold to generate detection information. This information is then used to monitor the sterilization status of the equipment after sterilization. While this improved method can effectively verify the sterilization effect, food production equipment contains a large variety of microorganisms with fluctuating microbial concentrations. Simply relying on the equipment's sterilization rate and threshold cannot effectively monitor the sterilization effect on multiple microorganisms within each piece of equipment. This leads to a decrease in the accuracy of sterilization and disinfection monitoring when the microbial concentration or variety is high. For example, patent application CN118111679A discloses a method for detecting ultraviolet equipment sterilization. The method, apparatus, electronic equipment, and storage medium are described. This scheme verifies whether the sterilization effect of ultraviolet (UV) equipment meets requirements by detecting the sterilization status of UV equipment, thereby accelerating product development efficiency. Other improvements in the monitoring of sterilization and disinfection of food safety equipment are usually improvements in the sterilization and disinfection equipment itself. However, these improvements still cannot solve the problem that food production equipment contains a large variety of microorganisms with fluctuating microbial content. Simply relying on the sterilization rate and sterilization threshold of the equipment cannot effectively monitor the sterilization effect of multiple microorganisms in each food production equipment. This leads to a decrease in the accuracy of sterilization and disinfection monitoring when the microbial content or variety is high. Therefore, it is necessary to improve the existing methods for monitoring the sterilization and disinfection of food production equipment. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art by proposing a method for monitoring the sterilization and disinfection of food production equipment. This method addresses the issue that existing methods for monitoring the sterilization and disinfection of food production equipment cannot effectively monitor the sterilization effect of multiple microorganisms in each piece of equipment simply by relying on the sterilization rate and sterilization threshold. This results in a decrease in the accuracy of sterilization and disinfection monitoring when the microbial content or types are high.

[0005] To achieve the above objectives, this application provides a method for monitoring the sterilization and disinfection of food production equipment, comprising the following steps:

[0006] Food production equipment subject to sterilization and disinfection monitoring shall be designated as sterilization and disinfection monitoring equipment; historical data on microbial detection in sterilization and disinfection monitoring equipment before and after sterilization and disinfection shall be obtained and designated as sterilization and disinfection monitoring data.

[0007] The disinfection monitoring data of each disinfection monitoring device was analyzed using a multi-device microbial analysis method, and the pre-disinfection curve and post-disinfection curve of each microorganism were obtained based on the analysis results.

[0008] Based on the pre-disinfection curves and post-disinfection curves of all microorganisms, the disinfection ratio of each disinfection monitoring device with all microorganisms is obtained, and the microorganism ratio curve of each disinfection monitoring device is obtained.

[0009] When sterilizing and disinfecting the disinfection and monitoring equipment, the real-time proportional curve of the disinfection and monitoring equipment is obtained based on the data obtained from the detection of microorganisms in the disinfection and monitoring equipment before and after sterilization and disinfection. The real-time proportional curve is then compared with the microbial proportional curve for single equipment and multiple equipment. The sterilization and disinfection of the disinfection and monitoring equipment is monitored based on the comparison results.

[0010] Furthermore, multi-device microbial analysis methods include:

[0011] Each disinfection data point in the disinfection monitoring data will be recorded as a single disinfection data point DX1 to a single disinfection data point DX. m Among them, the data for a single disinfection includes data on the detection of microorganisms in the disinfection monitoring equipment before disinfection and data on the detection of microorganisms in the disinfection monitoring equipment after disinfection;

[0012] For any single disinfection data point: the microorganisms recorded in the single disinfection data point are respectively labeled as disinfection microorganism SW1 to disinfection microorganism SW. nBased on the order of microbial detection in all disinfection monitoring devices in a single disinfection data session, all disinfection monitoring devices are sequentially designated as disinfection monitoring device XJ1 to disinfection monitoring device XJ. t .

[0013] Furthermore, multi-device microbial analysis methods also include:

[0014] The data on microbial detection in all disinfection monitoring equipment before sterilization and disinfection in a single disinfection data session are recorded as pre-disinfection data, and the data on microbial detection in all disinfection monitoring equipment after sterilization and disinfection in a single disinfection data session are recorded as post-disinfection data.

[0015] For any single disinfection microorganism: obtain the content of the disinfection microorganism recorded in each disinfection monitoring device in the pre-disinfection and post-disinfection data; establish a Cartesian coordinate system, denoted as the single-biological analysis coordinate system, where the t coordinate points to the right of the origin in the X-axis of the single-biological analysis coordinate system are sequentially denoted as disinfection monitoring device XJ1 to disinfection monitoring device XJ. t The unit for the Y-axis is CFU / cm. 2 In a single biological analysis coordinate system, the name of the disinfection monitoring equipment is used as the abscissa, and the content of disinfection microorganisms in the disinfection monitoring equipment in the pre-disinfection data is used as the ordinate. The point corresponding to each disinfection monitoring equipment is obtained and recorded as the pre-disinfection point. In the single biological analysis coordinate system, the name of the disinfection monitoring equipment is used as the abscissa, and the content of disinfection microorganisms in the disinfection monitoring equipment in the post-disinfection data is used as the ordinate. The point corresponding to each disinfection monitoring equipment is obtained and recorded as the post-disinfection point.

[0016] Furthermore, multi-device microbial analysis methods also include:

[0017] The curve obtained by fitting all pre-disinfection points is denoted as the pre-disinfection curve for microorganism elimination, and the curve obtained by fitting all post-disinfection points is denoted as the post-disinfection curve for microorganism elimination.

[0018] Obtain the pre-disinfection curve and post-disinfection curve for all disinfected microorganisms in a single disinfection data session.

[0019] Furthermore, multi-device microbial analysis methods also include:

[0020] For any single microorganism to be disinfected: obtain the pre-disinfection curve of the microorganism in all single disinfection data, and fit all the pre-disinfection curves in the same single biological analysis coordinate system to obtain the curve, which is called the multi-device pre-disinfection curve of the microorganism to be disinfected.

[0021] Based on the analysis of all pre-disinfection curves of microorganisms, the post-disinfection curves of all microorganisms are analyzed, and the post-disinfection curves of multiple devices corresponding to the pre-disinfection curves of multiple devices are obtained.

[0022] Obtain the pre-disinfection curves and post-disinfection curves of all disinfection devices for all microorganisms.

[0023] Furthermore, based on the pre-disinfection curves and post-disinfection curves of all microorganisms, the disinfection ratio of each disinfection monitoring device to all microorganisms is obtained, and the microorganism ratio curve of each disinfection monitoring device is obtained, including:

[0024] For any given disinfection monitoring device: obtain the pre-disinfection curves for all disinfected microorganisms from the multi-device curves, with the horizontal axis representing the vertical axis corresponding to the point of the disinfection monitoring device, and record them as pre-disinfection content XH1 to pre-disinfection content XH. n ; Obtain the post-disinfection curves for all disinfected microorganisms from multiple devices, with the horizontal axis representing the vertical axis corresponding to the points on the disinfection monitoring devices, and record them as post-disinfection content HH1 to post-disinfection content HH respectively. n ;

[0025] For any set of pre-elimination content XH e and the content of HH after elimination e The content of HH after elimination e Divide by the pre-disinfection content XH e The value is denoted as the pre-elimination content XH. e and the content of HH after elimination e The corresponding elimination ratio of disinfection microorganisms, where e is a positive integer less than or equal to n and greater than or equal to 1; obtain the elimination ratio of all disinfection microorganisms corresponding to the disinfection monitoring equipment;

[0026] Establish a Cartesian coordinate system, denoted as the scaled integrated coordinate system. In this system, the n coordinate points to the right of the origin on the X-axis are respectively labeled as microbial disinfection SW1 to microbial disinfection SW. n The Y-axis is a constant axis; the names of the microorganisms to be disinfected are used as the horizontal axis and the disinfection ratio of the microorganisms to be disinfected is used as the vertical axis to obtain the punctuation points of all the microorganisms to be disinfected in the proportional integrated coordinate system, and the curve obtained by fitting all the punctuation points is recorded as the microorganism ratio curve of the disinfection monitoring equipment.

[0027] Furthermore, when sterilizing and disinfecting the disinfection and monitoring equipment, based on the data obtained from the detection of microorganisms in the equipment before and after sterilization and disinfection, the real-time proportional curve of the disinfection and monitoring equipment is obtained, including:

[0028] When sterilizing and disinfecting disinfection and monitoring equipment, for any one of the equipment: before sterilization and disinfection, obtain the disinfection and monitoring microorganisms SW1 to SW1 from the equipment. n The content of each is recorded as the pre-real-time content SQ1 to the pre-real-time content SQ. n After sterilization and disinfection, obtain the disinfection microorganisms SW1 to SW1 from the disinfection monitoring equipment.n The content of each is recorded as the real-time content SQ1 to the real-time content SQ, respectively. n ;

[0029] Based on the pre-elimination content XH1 to the pre-elimination content XH n and the content after elimination HH1 to the content after elimination HH n The method for obtaining the microbial proportion curve is to obtain the real-time pre-concentration SQ1 to the real-time pre-concentration SQ. n and the real-time content SQ1 to the real-time content SQ n The corresponding curve is recorded as the real-time scaling curve.

[0030] Obtain the real-time proportional curves of all disinfection and monitoring devices.

[0031] Furthermore, the real-time proportion curve is compared with the microbial proportion curve for single devices and multiple devices. Based on the comparison results, the sterilization and disinfection of the disinfection monitoring equipment is monitored, including:

[0032] Single device comparison includes: for any disinfection monitoring device, place the real-time proportional curve and the microbial proportional curve of the disinfection monitoring device in the same coordinate system. When the real-time proportional curve and the microbial proportional curve completely overlap, the monitoring result of the disinfection monitoring device is recorded as having been completely sterilized and disinfected.

[0033] When the real-time proportional curve and the microbial proportional curve do not completely overlap, the area in the real-time proportional curve that does not overlap with the microbial proportional curve is recorded as an abnormal monitoring area, and the point in the abnormal monitoring area with the horizontal coordinate of any disinfection microorganism is recorded as an abnormal point; the horizontal coordinate of all abnormal points is recorded as abnormal microorganisms, and all disinfection microorganisms that are not recorded as abnormal microorganisms are recorded as normal microorganisms, and multi-device comparison is performed. Among them, when the abnormal point is below the microbial proportional curve, the abnormal point is recorded as a low abnormal point, and when the abnormal point is above the microbial proportional curve, the abnormal point is recorded as a high abnormal point.

[0034] Furthermore, the monitoring of sterilization and disinfection of the disinfection monitoring equipment based on the comparison results, including single-device and multi-device comparisons of the real-time proportion curve and the microbial proportion curve, also includes:

[0035] Multi-device comparison includes: For any high anomaly point corresponding to the disinfection microorganism α: When the disinfection microorganism α is recorded as the abnormal microorganism or conventional microorganism corresponding to the high anomaly point in the single device comparison of all disinfection monitoring devices, the disinfection monitoring device that records the disinfection microorganism α as the abnormal microorganism corresponding to the high anomaly point is recorded as the device with high content of disinfection microorganism α.

[0036] When the disinfection microorganism α is recorded as an abnormal microorganism corresponding to a low anomaly point in the single-device comparison of any disinfection monitoring device, all disinfection monitoring devices that record the disinfection microorganism α as an abnormal microorganism are recorded as devices with unstable disinfection microorganism α content.

[0037] Furthermore, the multi-device comparison also includes: based on the analysis method of disinfection microorganisms corresponding to high anomalies, analyzing disinfection microorganisms corresponding to low anomalies, and obtaining the corresponding devices with low disinfection microorganism content or unstable disinfection microorganism content.

[0038] The beneficial effects of this invention are as follows: This application first obtains disinfection monitoring equipment and disinfection detection data; then, it uses a multi-device microbial analysis method to analyze the disinfection monitoring data of each disinfection monitoring equipment, and obtains the pre-disinfection curve and post-disinfection curve for each microorganism based on the analysis results. The advantage of this is that by obtaining the pre-disinfection curve and post-disinfection curve, the content of each microorganism before and after sterilization in multiple devices can be effectively integrated, which helps to effectively detect the actual sterilization effect based on the changes in the content of microorganisms before and after sterilization in food production equipment during subsequent analysis.

[0039] This application also obtains the disinfection ratio of each disinfection monitoring device to all microorganisms based on the pre-disinfection curves and post-disinfection curves of all devices, and obtains the microbial ratio curve of each disinfection monitoring device. Finally, when the disinfection monitoring device is disinfected, the real-time ratio curve of the disinfection monitoring device is obtained based on the data obtained from the detection of microorganisms in the disinfection monitoring device before and after disinfection. The real-time ratio curve is compared with the microbial ratio curve for single device and multiple devices. The disinfection of the disinfection monitoring device is monitored based on the comparison results. The advantage of this is that by obtaining the disinfection ratio and further obtaining the microbial ratio curve, the content ratio of multiple different microorganisms in the same food production equipment before and after disinfection can be integrated. This allows for effective monitoring of the disinfection effect of different microorganisms in the food production equipment during real-time disinfection, preventing the decrease in the accuracy of disinfection monitoring when the microbial content or the number of microorganisms is large. Attached Figure Description

[0040] Figure 1 This is a flowchart illustrating the steps of the method of the present invention;

[0041] Figure 2 This is a schematic diagram of the single-biological analysis coordinate system of the present invention;

[0042] Figure 3 This is a schematic diagram illustrating the acquisition of abnormal microorganisms according to the present invention;

[0043] Figure 4 This is a schematic diagram of the electronic device of the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Example 1, please refer to Figure 1 As shown, this application provides a method for monitoring the sterilization and disinfection of food production equipment, comprising the following steps:

[0046] Step S1: Record the food production equipment that is subjected to sterilization and disinfection monitoring as sterilization and disinfection monitoring equipment; obtain historical data on the detection of microorganisms in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection, and record them as sterilization and disinfection monitoring data.

[0047] The disinfection monitoring data of each disinfection monitoring device was analyzed using a multi-device microbial analysis method, and the pre-disinfection curve and post-disinfection curve of each microorganism were obtained based on the analysis results.

[0048] The multi-device microbial analysis method includes: step S101, recording the corresponding data for each sterilization and disinfection in the disinfection monitoring data as single disinfection data DX1 to single disinfection data DX. m Among them, the data for a single disinfection includes data on the detection of microorganisms in the disinfection monitoring equipment before disinfection and data on the detection of microorganisms in the disinfection monitoring equipment after disinfection;

[0049] Step S102, for any single disinfection data: The microorganisms recorded in the single disinfection data are respectively labeled as disinfection microorganism SW1 to disinfection microorganism SW. n Based on the order of microbial detection in all disinfection monitoring devices in a single disinfection data session, all disinfection monitoring devices are sequentially designated as disinfection monitoring device XJ1 to disinfection monitoring device XJ. t ;

[0050] In the actual implementation process, it is assumed that the sterilization and disinfection order of all sterilization and monitoring equipment is consistent each time. If all sterilization and monitoring equipment is sterilized and disinfected at the same time in the actual factory, the equipment can be sorted to ensure that the subsequent analysis is carried out smoothly.

[0051] Step S103: Record the microbial detection data of all disinfection monitoring devices before sterilization in the single disinfection data as pre-disinfection data, and record the microbial detection data of all disinfection monitoring devices after sterilization in the single disinfection data as post-disinfection data.

[0052] Step S104: For any disinfection microorganism: Obtain the content of the disinfection microorganism recorded in each disinfection monitoring device in the pre-disinfection data and post-disinfection data; Establish a Cartesian coordinate system, denoted as the single-biological analysis coordinate system, wherein the t coordinate points to the right of the origin of the X-axis of the single-biological analysis coordinate system are sequentially denoted as disinfection monitoring device XJ1 to disinfection monitoring device XJ. t The unit for the Y-axis is CFU / cm. 2 In a single biological analysis coordinate system, the name of the disinfection monitoring equipment is used as the x-axis, and the content of disinfection microorganisms in the disinfection monitoring equipment in the pre-disinfection data is used as the y-axis. The point corresponding to each disinfection monitoring equipment is obtained and recorded as the pre-disinfection point. In the single biological analysis coordinate system, the name of the disinfection monitoring equipment is used as the x-axis, and the content of disinfection microorganisms in the disinfection monitoring equipment in the post-disinfection data is used as the y-axis. The point corresponding to each disinfection monitoring equipment is obtained and recorded as the post-disinfection point.

[0053] In the specific implementation process, this plan uses CFU / cm 2 As a unit for measuring the content of microorganisms in food production equipment, in practical applications, the unit of the Y-axis of the single-bioanalysis coordinate system can be adjusted in real time according to the actual unit used for microbial extraction; for example, in a single data analysis, the obtained single-bioanalysis coordinate system is as follows: Figure 2 As shown, points XQ1 to XQ5 are all points before elimination, and points XH1 to XH5 are all points after elimination. Through fitting, curves DQ and DH are obtained as the curve before and after single elimination, respectively.

[0054] Step S105: Record the curve obtained by fitting all pre-disinfection points as the pre-disinfection curve for microbial elimination, and record the curve obtained by fitting all post-disinfection points as the post-disinfection curve for microbial elimination.

[0055] Obtain the pre-disinfection curve and post-disinfection curve for all disinfected microorganisms in a single disinfection data session;

[0056] Step S106: For any single microorganism to be disinfected: obtain the single pre-disinfection curve of the microorganism in all single disinfection data, and fit all the single pre-disinfection curves in the same single biological analysis coordinate system to obtain the curve, which is called the multi-device pre-disinfection curve of the microorganism to be disinfected.

[0057] Step S107: Based on the analysis method of all single pre-disinfection curves of disinfection microorganisms, analyze all single post-disinfection curves of disinfection microorganisms and obtain the multi-device post-disinfection curves corresponding to the multi-device pre-disinfection curves.

[0058] In the specific implementation process, by obtaining the pre-disinfection curve and post-disinfection curve of a single device, and further obtaining the pre-disinfection curve and post-disinfection curve of multiple devices, it is possible to integrate the historical data corresponding to multiple disinfection and sterilization, and extract the content changes of each microorganism in all devices before and after disinfection and sterilization, so as to effectively monitor the disinfection and sterilization effect of multiple microorganisms in the disinfection and sterilization monitoring equipment in subsequent analysis.

[0059] Step S108: Obtain the pre-disinfection curves and post-disinfection curves of all disinfection devices corresponding to all microorganisms.

[0060] Step S2: Based on the pre-disinfection curves and post-disinfection curves of all microorganisms, obtain the disinfection ratio of each disinfection monitoring device to all microorganisms, and obtain the microorganism ratio curve of each disinfection monitoring device.

[0061] Step S2 includes: Step S201, for any disinfection monitoring device: obtain the ordinate of the point corresponding to the disinfection monitoring device in the multi-device pre-disinfection curve corresponding to all disinfection microorganisms, and record them as pre-disinfection content XH1 to pre-disinfection content XH respectively. n ; Obtain the post-disinfection curves for all disinfected microorganisms from multiple devices, with the horizontal axis representing the vertical axis corresponding to the points on the disinfection monitoring devices, and record them as post-disinfection content HH1 to post-disinfection content HH respectively. n ;

[0062] Step S202, for any set of pre-disinfection content XH e and the content of HH after elimination e The content of HH after elimination e Divide by the pre-disinfection content XH e The value is denoted as the pre-elimination content XH. e and the content of HH after elimination e The corresponding elimination ratio of disinfection microorganisms, where e is a positive integer less than or equal to n and greater than or equal to 1; obtain the elimination ratio of all disinfection microorganisms corresponding to the disinfection monitoring equipment;

[0063] In the specific implementation process, for example, during sequential data analysis, the pre-disinfection and post-disinfection E. coli concentrations were 20 CFU / cm³. 2 and 5 CFU / cm 2The calculation shows that the elimination ratio for E. coli is 0.25. By obtaining the elimination ratio of each microorganism corresponding to the disinfection monitoring device, the change ratio of all microorganisms in the disinfection monitoring device after disinfection can be obtained. This allows for effective monitoring of the disinfection effect of the disinfection monitoring device based on the microorganism ratio curve constructed from all elimination ratios during real-time disinfection, and timely reporting of microorganisms with abnormal content.

[0064] Step S203: Establish a Cartesian coordinate system, denoted as the scaled integrated coordinate system. In the scaled integrated coordinate system, the n coordinate points to the right of the origin on the X-axis are sequentially labeled as microbial disinfection point SW1 to microbial disinfection point SW. n The Y-axis is a constant axis; the names of the microorganisms to be disinfected are used as the horizontal axis and the disinfection ratio of the microorganisms to be disinfected is used as the vertical axis to obtain the punctuation points of all the microorganisms to be disinfected in the proportional integrated coordinate system, and the curve obtained by fitting all the punctuation points is recorded as the microorganism ratio curve of the disinfection monitoring equipment.

[0065] Step S3: When sterilizing and disinfecting the disinfection and monitoring equipment, based on the data obtained from the detection of microorganisms in the disinfection and monitoring equipment before and after sterilization and disinfection, the real-time ratio curve of the disinfection and monitoring equipment is obtained, and the real-time ratio curve is compared with the microorganism ratio curve for single equipment and multiple equipment. Based on the comparison results, the sterilization and disinfection of the disinfection and monitoring equipment is monitored.

[0066] Step S3 includes: Step S301, when sterilizing and disinfecting the disinfection and monitoring equipment, for any one of the disinfection and monitoring equipment: before sterilization and disinfection, obtain the disinfection and monitoring microorganisms SW1 to SW1 in the disinfection and monitoring equipment. n The content of each is recorded as the pre-real-time content SQ1 to the pre-real-time content SQ. n After sterilization and disinfection, obtain the disinfection microorganisms SW1 to SW1 from the disinfection monitoring equipment. n The content of each is recorded as the real-time content SQ1 to the real-time content SQ, respectively. n ;

[0067] Step S302, based on the pre-disinfection content XH1 to the pre-disinfection content XH n and the content after elimination HH1 to the content after elimination HH n The method for obtaining the microbial proportion curve is to obtain the real-time pre-concentration SQ1 to the real-time pre-concentration SQ. n and the real-time content SQ1 to the real-time content SQ n The corresponding curve is recorded as the real-time scaling curve.

[0068] Step S303: Obtain the real-time proportional curves of all disinfection monitoring devices;

[0069] In the specific implementation process, the method of obtaining the real-time proportion curve is basically the same as that of obtaining the microbial proportion curve. That is, the corresponding points are obtained in the coordinate system from the proportions of the contents of all microorganisms before sterilization and disinfection and the contents of all microorganisms after sterilization and disinfection, and the corresponding curves are obtained.

[0070] Step S304, single device comparison includes: Step S3041, for any disinfection monitoring device, place the real-time proportional curve and the microbial proportional curve of the disinfection monitoring device in the same coordinate system. When the real-time proportional curve and the microbial proportional curve completely overlap, record the monitoring result of the disinfection monitoring device as having been completely sterilized and disinfected.

[0071] Step S3042: When the real-time proportional curve and the microbial proportional curve do not completely overlap, the area in the real-time proportional curve that does not overlap with the microbial proportional curve is recorded as an abnormal monitoring area, and the point in the abnormal monitoring area with the horizontal coordinate of any disinfection microorganism is recorded as an abnormal point; the horizontal coordinate of all abnormal points is recorded as abnormal microorganisms, and all disinfection microorganisms that are not recorded as abnormal microorganisms are recorded as normal microorganisms, and multi-device comparison is performed. When the abnormal point is below the microbial proportional curve, the abnormal point is recorded as a low abnormal point, and when the abnormal point is above the microbial proportional curve, the abnormal point is recorded as a high abnormal point.

[0072] In the specific implementation process, for example, during a data analysis, the obtained real-time proportion curve and microbial proportion curve are respectively Figure 3 Analysis of curves SL1 and SL2 shows that the real-time proportional curve from XX1 to XX2 represents the abnormal monitoring area, point SW is an abnormal point and a low abnormal point, and the disinfection microorganisms corresponding to W1 are abnormal microorganisms.

[0073] Step S3 also includes: Step S305, multi-device comparison includes: Step S3051, for any high anomaly point corresponding to disinfection microorganism α: when disinfection microorganism α is recorded as an abnormal microorganism or a regular microorganism corresponding to a high anomaly point in the single device comparison of all disinfection monitoring devices, the disinfection monitoring device that records disinfection microorganism α as an abnormal microorganism corresponding to a high anomaly point is recorded as a device with high content of disinfection microorganism α.

[0074] In the specific implementation process, when the disinfectant microorganism α is recorded as an abnormal microorganism or a regular microorganism corresponding to a high anomaly point in the single-device comparison of all disinfection monitoring equipment, it indicates that the content of disinfectant microorganism α is too high or normal in all disinfection monitoring equipment. Therefore, it indicates that the disinfectant microorganism α was not sufficiently disinfected during sterilization and disinfection. Thus, by marking the equipment with high content of disinfectant microorganism α, staff can be assisted in carrying out further sterilization and disinfection treatment of disinfectant microorganism α.

[0075] Step S3052: When the disinfection microorganism α is recorded as an abnormal microorganism corresponding to a low anomaly point in the single device comparison of any disinfection monitoring device, all disinfection monitoring devices that record the disinfection microorganism α as an abnormal microorganism are recorded as devices with unstable content of disinfection microorganism α.

[0076] In the specific implementation process, when the disinfection microorganism α is recorded as an abnormal microorganism corresponding to a low anomaly point in the single device comparison of any disinfection monitoring device, it indicates that the content of disinfection microorganism α is both too high and too low in all disinfection monitoring devices. That is, the disinfection microorganism α is simultaneously over-sterilized and incompletely sterilized. Therefore, by obtaining the device with unstable content of disinfection microorganism α, staff can be assisted in further analyzing the sterilization status of disinfection microorganism α.

[0077] Step S3053: Based on the analysis method of disinfection microorganisms corresponding to high anomalies, analyze the disinfection microorganisms corresponding to low anomalies and obtain the corresponding equipment with low disinfection microorganism content or equipment with unstable disinfection microorganism content.

[0078] Example 2, please refer to Figure 4 As shown, Figure 4 The example illustrates the structure of an electronic device, which may include a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in a sterilization and disinfection monitoring method for food production equipment are performed to achieve the following functions: First, the sterilization and monitoring equipment and sterilization detection data are acquired; the sterilization and monitoring data of each sterilization and monitoring equipment are analyzed using a multi-equipment microbial analysis method, and the pre-sterilization curve and post-sterilization curve of each equipment are obtained based on the analysis results; then, based on the pre-sterilization curve and post-sterilization curve of all microorganisms, the sterilization ratio of each sterilization and monitoring equipment to all microorganisms is obtained, and the microbial ratio curve of each sterilization and monitoring equipment is obtained; finally, when sterilization and disinfection are performed on the sterilization and monitoring equipment, the real-time ratio curve of the sterilization and monitoring equipment is obtained based on the data obtained from the detection of microorganisms in the sterilization and monitoring equipment before and after sterilization and disinfection, and the real-time ratio curve is compared with the microbial ratio curve for single equipment and multiple equipment, and the sterilization and disinfection of the sterilization and monitoring equipment is monitored based on the comparison results.

[0079] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0080] Example 3: This application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a food production equipment sterilization and disinfection monitoring method provided by the above methods. The method includes: first, acquiring sterilization and monitoring equipment and sterilization detection data; analyzing the sterilization and monitoring data of each sterilization and monitoring equipment using a multi-equipment microbial analysis method, and obtaining the multi-equipment pre-sterilization curve and multi-equipment post-sterilization curve corresponding to each microorganism based on the analysis results; then, based on the multi-equipment pre-sterilization curve and multi-equipment post-sterilization curve corresponding to all microorganisms, obtaining the sterilization ratio of each sterilization and monitoring equipment to all microorganisms, and obtaining the microbial ratio curve of each sterilization and monitoring equipment; finally, when sterilizing and disinfecting the sterilization and monitoring equipment, obtaining the real-time ratio curve of the sterilization and monitoring equipment based on the data obtained from the detection of microorganisms in the sterilization and monitoring equipment before and after sterilization and disinfection, and comparing the real-time ratio curve with the microbial ratio curve for single equipment and multi-equipment, and monitoring the sterilization and disinfection of the sterilization and monitoring equipment based on the comparison results.

[0081] Example 4: This application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it performs the steps of the above-mentioned food production equipment sterilization and disinfection monitoring method to achieve the following functions: First, it acquires the sterilization monitoring equipment and sterilization detection data; it analyzes the sterilization monitoring data of each sterilization monitoring equipment using a multi-equipment microbial analysis method, and obtains the multi-equipment pre-sterilization curve and multi-equipment post-sterilization curve corresponding to each microorganism based on the analysis results; then, based on the multi-equipment pre-sterilization curve and multi-equipment post-sterilization curve corresponding to all microorganisms, it obtains the sterilization ratio of each sterilization monitoring equipment to all microorganisms, and obtains the microbial ratio curve of each sterilization monitoring equipment; finally, when sterilizing and disinfecting the sterilization monitoring equipment, it obtains the real-time ratio curve of the sterilization monitoring equipment based on the data obtained from the detection of microorganisms in the sterilization monitoring equipment before and after sterilization and disinfection, and compares the real-time ratio curve with the microbial ratio curve for single-equipment and multi-equipment comparisons, and monitors the sterilization and disinfection of the sterilization monitoring equipment based on the comparison results.

[0082] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the technical solutions described above, or the parts that contribute to the prior art, can be embodied in the form of software products. These computer software products can be stored in computer-readable storage media, such as ROM / RAM, magnetic disks, optical disks, etc., and include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0083] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for monitoring the sterilization and disinfection of food production equipment, characterized in that, Includes the following steps: Food production equipment subject to sterilization and disinfection monitoring shall be designated as sterilization and disinfection monitoring equipment; historical data on microbial detection in sterilization and disinfection monitoring equipment before and after sterilization and disinfection shall be obtained and designated as sterilization and disinfection monitoring data. The disinfection monitoring data of each disinfection monitoring device was analyzed using a multi-device microbial analysis method, and the pre-disinfection curve and post-disinfection curve of each microorganism were obtained based on the analysis results. Based on the pre-disinfection curves and post-disinfection curves of all microorganisms, the disinfection ratio of each disinfection monitoring device with all microorganisms is obtained, and the microorganism ratio curve of each disinfection monitoring device is obtained. When sterilizing and disinfecting the disinfection and monitoring equipment, the real-time proportional curve of the disinfection and monitoring equipment is obtained based on the data obtained from the detection of microorganisms in the disinfection and monitoring equipment before and after sterilization and disinfection. The real-time proportional curve is then compared with the microbial proportional curve for single equipment and multiple equipment. The sterilization and disinfection of the disinfection and monitoring equipment is monitored based on the comparison results.

2. The method for monitoring sterilization and disinfection of food production equipment according to claim 1, characterized in that, Multi-device microbial analysis methods include: Each disinfection data point in the disinfection monitoring data will be recorded as a single disinfection data point DX1 to a single disinfection data point DX. m Among them, the data for a single disinfection includes data on the detection of microorganisms in the disinfection monitoring equipment before disinfection and data on the detection of microorganisms in the disinfection monitoring equipment after disinfection; For any single disinfection data point: the microorganisms recorded in the single disinfection data point are respectively labeled as disinfection microorganism SW1 to disinfection microorganism SW. n Based on the order of microbial detection in all disinfection monitoring devices in a single disinfection data session, all disinfection monitoring devices are sequentially designated as disinfection monitoring device XJ1 to disinfection monitoring device XJ. t .

3. The method for monitoring sterilization and disinfection of food production equipment according to claim 2, characterized in that, Multi-device microbial analysis methods also include: The data on microbial detection in all disinfection monitoring equipment before sterilization and disinfection in a single disinfection data session are recorded as pre-disinfection data, and the data on microbial detection in all disinfection monitoring equipment after sterilization and disinfection in a single disinfection data session are recorded as post-disinfection data. For any single disinfection microorganism: obtain the content of the disinfection microorganism recorded in each disinfection monitoring device in the pre-disinfection and post-disinfection data; establish a Cartesian coordinate system, denoted as the single-biological analysis coordinate system, where the t coordinate points to the right of the origin in the X-axis of the single-biological analysis coordinate system are sequentially denoted as disinfection monitoring device XJ1 to disinfection monitoring device XJ. t The unit for the Y-axis is CFU / cm. 2 In a single biological analysis coordinate system, the name of the disinfection monitoring equipment is used as the abscissa, and the content of disinfection microorganisms in the disinfection monitoring equipment in the pre-disinfection data is used as the ordinate. The point corresponding to each disinfection monitoring equipment is obtained and recorded as the pre-disinfection point. In the single biological analysis coordinate system, the name of the disinfection monitoring equipment is used as the abscissa, and the content of disinfection microorganisms in the disinfection monitoring equipment in the post-disinfection data is used as the ordinate. The point corresponding to each disinfection monitoring equipment is obtained and recorded as the post-disinfection point.

4. The method for monitoring sterilization and disinfection of food production equipment according to claim 3, characterized in that, Multi-device microbial analysis methods also include: The curve obtained by fitting all pre-disinfection points is denoted as the pre-disinfection curve for microorganism elimination, and the curve obtained by fitting all post-disinfection points is denoted as the post-disinfection curve for microorganism elimination. Obtain the pre-disinfection curve and post-disinfection curve for all disinfected microorganisms in a single disinfection data session.

5. The method for monitoring sterilization and disinfection of food production equipment according to claim 4, characterized in that, Multi-device microbial analysis methods also include: For any single microorganism to be disinfected: obtain the pre-disinfection curve of the microorganism in all single disinfection data, and fit all the pre-disinfection curves in the same single biological analysis coordinate system to obtain the curve, which is called the multi-device pre-disinfection curve of the microorganism to be disinfected. Based on the analysis of all pre-disinfection curves of microorganisms, the post-disinfection curves of all microorganisms are analyzed, and the post-disinfection curves of multiple devices corresponding to the pre-disinfection curves of multiple devices are obtained. Obtain the pre-disinfection curves and post-disinfection curves of all disinfection devices for all microorganisms.

6. The method for monitoring sterilization and disinfection of food production equipment according to claim 5, characterized in that, Based on the pre-disinfection curves and post-disinfection curves of all microorganisms, the disinfection ratio of each disinfection monitoring device with respect to all microorganisms was obtained, and the microorganism ratio curve of each disinfection monitoring device was obtained, including: For any given disinfection monitoring device: obtain the pre-disinfection curves for all disinfected microorganisms from the multi-device curves, with the horizontal axis representing the vertical axis corresponding to the point of the disinfection monitoring device, and record them as pre-disinfection content XH1 to pre-disinfection content XH. n ; Obtain the post-disinfection curves for all disinfected microorganisms from multiple devices, with the horizontal axis representing the vertical axis corresponding to the points on the disinfection monitoring devices, and record them as post-disinfection content HH1 to post-disinfection content HH respectively. n ; For any set of pre-elimination content XH e and the content of HH after elimination e The content of HH after elimination e Divide by the pre-disinfection content XH e The value is denoted as the pre-elimination content XH. e And the content of HH after elimination e The corresponding elimination ratio of disinfection microorganisms, where e is a positive integer less than or equal to n and greater than or equal to 1; obtain the elimination ratio of all disinfection microorganisms corresponding to the disinfection monitoring equipment; Establish a Cartesian coordinate system, denoted as the scaled integrated coordinate system. In this system, the n coordinate points to the right of the origin on the X-axis are respectively labeled as microbial disinfection SW1 to microbial disinfection SW. n The Y-axis is a constant axis; the names of the microorganisms to be disinfected are used as the horizontal axis and the disinfection ratio of the microorganisms to be disinfected is used as the vertical axis to obtain the punctuation points of all the microorganisms to be disinfected in the proportional integrated coordinate system, and the curve obtained by fitting all the punctuation points is recorded as the microorganism ratio curve of the disinfection monitoring equipment.

7. The method for monitoring sterilization and disinfection of food production equipment according to claim 6, characterized in that, When disinfection and sterilization are carried out on the disinfection and monitoring equipment, the real-time proportional curve of the disinfection and monitoring equipment is obtained based on the data obtained from the detection of microorganisms in the equipment before and after disinfection and sterilization, including: When sterilizing and disinfecting disinfection and monitoring equipment, for any one of the equipment: before sterilization and disinfection, obtain the disinfection and monitoring microorganisms SW1 to SW1 from the equipment. n The content of each is recorded as the pre-real-time content SQ1 to the pre-real-time content SQ. n After sterilization and disinfection, obtain the disinfection microorganisms SW1 to SW1 from the disinfection monitoring equipment. n The content of each is recorded as the real-time content SQ1 to the real-time content SQ, respectively. n ; Based on the pre-elimination content XH1 to the pre-elimination content XH n and the content after elimination HH1 to the content after elimination HH n The method for obtaining the microbial proportion curve is to obtain the real-time pre-concentration SQ1 to the real-time pre-concentration SQ. n and the real-time content SQ1 to the real-time content SQ n The corresponding curve is recorded as the real-time scaling curve. Obtain the real-time proportional curves of all disinfection and monitoring devices.

8. The method for monitoring sterilization and disinfection of food production equipment according to claim 7, characterized in that, The real-time proportion curve and the microbial proportion curve are compared between single devices and multiple devices. Based on the comparison results, the sterilization and disinfection of the disinfection monitoring equipment are monitored, including: Single device comparison includes: for any disinfection monitoring device, place the real-time proportional curve and the microbial proportional curve of the disinfection monitoring device in the same coordinate system. When the real-time proportional curve and the microbial proportional curve completely overlap, the monitoring result of the disinfection monitoring device is recorded as having been completely sterilized and disinfected. When the real-time proportional curve and the microbial proportional curve do not completely overlap, the area in the real-time proportional curve that does not overlap with the microbial proportional curve is recorded as an abnormal monitoring area, and the point in the abnormal monitoring area with the horizontal coordinate of any disinfection microorganism is recorded as an abnormal point; the horizontal coordinate of all abnormal points is recorded as abnormal microorganisms, and all disinfection microorganisms that are not recorded as abnormal microorganisms are recorded as normal microorganisms, and multi-device comparison is performed. Among them, when the abnormal point is below the microbial proportional curve, the abnormal point is recorded as a low abnormal point, and when the abnormal point is above the microbial proportional curve, the abnormal point is recorded as a high abnormal point.

9. The method for monitoring sterilization and disinfection of food production equipment according to claim 8, characterized in that, The monitoring of sterilization and disinfection of disinfection monitoring equipment based on the comparison results between real-time proportion curves and microbial proportion curves, both single-device and multi-device, also includes: Multi-device comparison includes: For any high anomaly point corresponding to the disinfection microorganism α: When the disinfection microorganism α is recorded as the abnormal microorganism or conventional microorganism corresponding to the high anomaly point in the single device comparison of all disinfection monitoring devices, the disinfection monitoring device that records the disinfection microorganism α as the abnormal microorganism corresponding to the high anomaly point is recorded as the device with high content of disinfection microorganism α. When the disinfection microorganism α is recorded as an abnormal microorganism corresponding to a low anomaly point in the single-device comparison of any disinfection monitoring device, all disinfection monitoring devices that record the disinfection microorganism α as an abnormal microorganism are recorded as devices with unstable disinfection microorganism α content.

10. A method for monitoring sterilization and disinfection of food production equipment according to claim 9, characterized in that, Multi-device comparison also includes: based on the analysis method of disinfection microorganisms corresponding to high anomalies, analyzing disinfection microorganisms corresponding to low anomalies, and obtaining the corresponding devices with low disinfection microorganism content or unstable disinfection microorganism content.

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