Food production equipment sterilization and disinfection monitoring method

Abstract

The invention discloses a food production equipment sterilization and disinfection monitoring method, and relates to the technical field of equipment monitoring, and the method comprises the following steps: firstly obtaining sterilization and disinfection monitoring equipment and sterilization and disinfection detection data; using a multi-device microbiological analysis method to obtain a multi-device pre-elimination curve and a multi-device post-elimination curve; obtaining a sterilization removal proportion and microorganism proportion curve; based on single-device comparison and multi-device comparison, sterilization and disinfection are monitored; the method is used for solving the problems that in an existing sterilization and disinfection monitoring method for the food production equipment, due to the fact that the variety of microorganisms in the food production equipment is large, the sterilization effect of multiple microorganisms in each piece of food production equipment cannot be effectively monitored, and when the content of the microorganisms is large or the variety of the microorganisms is large, the sterilization effect cannot be effectively monitored. And the accuracy of sterilization and disinfection monitoring is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of equipment monitoring, in particular to a food production equipment sterilization and disinfection monitoring method. BACKGROUND

[0002] Sterilization and disinfection monitoring is a process of evaluating whether the disinfection or sterilization process meets the standard by detecting the microbial killing effect; food production equipment sterilization and disinfection monitoring is a systematic detection activity of performance verification and effect evaluation of sterilization and disinfection equipment used in food processing; the detection range includes mainstream equipment such as pressure steam sterilizer, ethylene oxide sterilization cabinet, ultraviolet disinfection vehicle and plasma sterilization system; the core detection indexes include sterilization efficiency, physical parameters, safety and environmental adaptability.

[0003] The existing method for food production equipment sterilization and disinfection monitoring usually obtains the equipment sterilization rate and equipment sterilization threshold of the sterilization equipment to generate detection information, and monitors the sterilization condition of the sterilization and disinfection equipment after sterilization and disinfection through the detection information. Although this improved method can effectively test the sterilization effect, the food production equipment has many types of microorganisms and large variation in microorganism content, and the sterilization rate and sterilization threshold of the equipment cannot effectively monitor the sterilization effect of multiple microorganisms in each food production equipment, resulting in a decrease in the accuracy of sterilization and disinfection monitoring when the microorganism content is high or the microorganism type is high. For example, in the patent application with the publication number CN118111679A, a method and device for detecting sterilization of ultraviolet equipment, an electronic device and a storage medium are disclosed. The scheme detects the sterilization of the ultraviolet equipment to verify whether the sterilization effect of the ultraviolet equipment meets the requirements and accelerates the product development efficiency. However, other improvements for food safety equipment sterilization and disinfection monitoring are usually improvements in sterilization and disinfection equipment, which still cannot solve the problem that the sterilization rate and sterilization threshold of the equipment cannot effectively monitor the sterilization effect of multiple microorganisms in each food production equipment due to the large variation in microorganism content and the large variation in microorganism type, resulting in a decrease in the accuracy of sterilization and disinfection monitoring when the microorganism content is high or the microorganism type is high. Therefore, it is necessary to improve the existing food production equipment sterilization and disinfection monitoring method. SUMMARY

[0004] The present application aims to at least partly solve one of the technical problems in the prior art by providing a food production equipment sterilization and disinfection monitoring method, which is used to solve the problem that the accuracy of sterilization and disinfection monitoring is reduced when the microbial content is high or the number of microbial species is large, because the number of microbial species in the food production equipment is large and the microbial content varies greatly, and the sterilization rate and sterilization threshold of the equipment cannot effectively monitor the sterilization effect of multiple microorganisms in each food production equipment.

[0005] To achieve the above-mentioned purpose, the present application provides a food production equipment sterilization and disinfection monitoring method, comprising the following steps:

[0006] The food production equipment to be sterilized and disinfected is recorded as a sterilization and disinfection monitoring equipment; historical data of microbial detection in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection of the sterilization and disinfection monitoring equipment is obtained, and is recorded as sterilization and disinfection detection data;

[0007] The sterilization and disinfection monitoring data of each sterilization and disinfection monitoring equipment is analyzed using a multi-equipment microbial analysis method, and based on the analysis result, the multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to each microorganism are obtained;

[0008] Based on the multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to all microorganisms, the sterilization and disinfection ratio corresponding to each sterilization and disinfection monitoring equipment and all microorganisms is obtained, and the microbial ratio curve of each sterilization and disinfection monitoring equipment is obtained;

[0009] When sterilizing and disinfecting the sterilization and disinfection monitoring equipment, based on the data obtained by detecting the microorganisms in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection, the real-time ratio curve of the sterilization and disinfection monitoring equipment is obtained, and the real-time ratio curve is compared with the microbial ratio curve in single-equipment comparison and multi-equipment comparison, and based on the comparison result, the sterilization and disinfection of the sterilization and disinfection monitoring equipment is monitored.

[0010] Further, the multi-equipment microbial analysis method comprises:

[0011] Each sterilization and disinfection corresponding data in the sterilization and disinfection monitoring data is recorded as single sterilization and disinfection data DX1 to single sterilization and disinfection data DX m , wherein the single sterilization and disinfection data includes data of microbial detection in the sterilization and disinfection monitoring equipment before sterilization and disinfection and data of microbial detection in the sterilization and disinfection monitoring equipment after sterilization and disinfection;

[0012] For any single sterilization and disinfection data: the microorganisms recorded in the single sterilization and disinfection data are recorded as sterilization and disinfection microorganisms SW1 to sterilization and disinfection microorganisms SW n; based on the sequence of the microbial detection in all disinfection monitoring devices from the first to the last in the single disinfection data, all disinfection monitoring devices are sequentially recorded as disinfection monitoring device XJ1 to disinfection monitoring device XJ t .

[0013] Further, the multi-device microbial analysis method further comprises:

[0014] The data of the microbial detection in all disinfection monitoring devices before sterilization and disinfection in the single disinfection data is recorded as pre-disinfection data, and the data of the microbial detection in all disinfection monitoring devices after sterilization and disinfection in the single disinfection data is recorded as post-disinfection data;

[0015] For any one disinfection microorganism: the content of the disinfection microorganism recorded in each disinfection monitoring device in the pre-disinfection data and the post-disinfection data is obtained; a plane rectangular coordinate system is established, which is recorded as a single microorganism analysis coordinate system, wherein t coordinate points of the coordinate origin to the right in the X axis of the single microorganism analysis coordinate system are sequentially recorded as disinfection monitoring device XJ1 to disinfection monitoring device XJ t , the unit of the Y axis is CFU / cm 2 ; in the single microorganism analysis coordinate system, the name of the disinfection monitoring device is taken as the horizontal coordinate, and the content of the disinfection microorganism in the disinfection monitoring device in the pre-disinfection data is taken as the vertical coordinate, to obtain the corresponding point of each disinfection monitoring device, which is recorded as a pre-disinfection point; in the single microorganism analysis coordinate system, the name of the disinfection monitoring device is taken as the horizontal coordinate, and the content of the disinfection microorganism in the disinfection monitoring device in the post-disinfection data is taken as the vertical coordinate, to obtain the corresponding point of each disinfection monitoring device, which is recorded as a post-disinfection point.

[0016] Further, the multi-device microbial analysis method further comprises:

[0017] The curve obtained by fitting all pre-disinfection points is recorded as a single pre-disinfection curve of the disinfection microorganism, and the curve obtained by fitting all post-disinfection points is recorded as a single post-disinfection curve of the disinfection microorganism;

[0018] The single pre-disinfection curve and the single post-disinfection curve corresponding to all disinfection microorganisms in the single disinfection data are obtained.

[0019] Further, the multi-device microbial analysis method further comprises:

[0020] For any one disinfection microorganism: the single pre-disinfection curve of the disinfection microorganism in all single disinfection data is obtained, and all single pre-disinfection curves are fitted in the same single microorganism analysis coordinate system to obtain a curve, which is recorded as a multi-device pre-disinfection curve of the disinfection microorganism;

[0021] Based on the analysis mode of all single pre-disinfection curves of the disinfection microorganism, all single post-disinfection curves of the disinfection microorganism are analyzed, and a multi-device post-disinfection curve corresponding to the multi-device pre-disinfection curve is 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 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 content SQ1 to the real-time post-content SQ n ;

[0029] Based on the pre-elimination content XH1 to the pre-elimination content XH n and the post-elimination content HH1 to the post-elimination content HH n , the real-time pre-content SQ1 to the real-time pre-content SQ n and the real-time post-content SQ1 to the real-time post-content SQ n corresponding curve, and is recorded as the real-time ratio curve;

[0030] Obtain the real-time ratio curve of all disinfection monitoring devices.

[0031] Further, the real-time ratio curve and the microorganism ratio curve are compared in single device and multiple devices, and the disinfection of the disinfection monitoring device is monitored based on the comparison result, including:

[0032] Single device comparison includes: for any one disinfection monitoring device, the real-time ratio curve and the microorganism ratio curve of the disinfection monitoring device are placed in the same coordinate system, when the real-time ratio curve and the microorganism ratio curve are completely coincided, the monitoring result of the disinfection monitoring device is recorded as completely sterilized and disinfected;

[0033] When the real-time ratio curve and the microorganism ratio curve are not completely coincided, the area in the real-time ratio curve which is not coincided with the microorganism ratio curve is recorded as a monitoring abnormal area, and the point with arbitrary microorganism in the monitoring abnormal area is recorded as an abnormal point; The horizontal coordinates of all abnormal points are recorded as abnormal microorganisms, and all disinfection microorganisms not recorded as abnormal microorganisms are recorded as conventional microorganisms, and multiple device comparison is performed, wherein, when the abnormal point is below the microorganism ratio curve, the abnormal point is recorded as a low abnormal point, and when the abnormal point is above the microorganism ratio curve, the abnormal point is recorded as a high abnormal point.

[0034] Further, the real-time ratio curve and the microorganism ratio curve are compared in single device and multiple devices, and the disinfection of the disinfection monitoring device is monitored based on the comparison result, including:

[0035] Multiple device comparison includes: for any one high abnormal point corresponding disinfection microorganism α: when the disinfection microorganism α is recorded as the high abnormal point corresponding abnormal microorganism or the conventional microorganism in the single device comparison of all disinfection monitoring devices, the disinfection monitoring device in all disinfection monitoring devices which records the disinfection microorganism α as the high abnormal point corresponding abnormal microorganism is recorded as the disinfection microorganism α content high device;

[0036] When the killing microorganism alpha is recorded as an abnormal microorganism corresponding to a low abnormal point in single-device comparison of any one killing monitoring device, all killing monitoring devices record the killing monitoring device recording the killing microorganism alpha as an abnormal microorganism as a killing microorganism alpha content unstable device.

[0037] Further, the multi-device comparison further comprises: based on the analysis mode of the killing microorganism corresponding to the high abnormal point, analyzing the killing microorganism corresponding to the low abnormal point, and obtaining the killing microorganism content low device or the killing microorganism content unstable device.

[0038] The application has the following advantages: the application first obtains the killing monitoring device and the killing detection data; the multi-device microorganism analysis method is used to analyze the killing monitoring data of each killing monitoring device, and based on the analysis result, the multi-device pre-killing curve and the multi-device post-killing curve corresponding to each microorganism are obtained, which has the advantage that by obtaining the multi-device pre-killing curve and the multi-device post-killing curve, the content of each microorganism before and after sterilization and disinfection in multiple devices can be effectively integrated, which is helpful for effectively detecting the actual sterilization and disinfection effect based on the content change of the microorganism before and after sterilization and disinfection in the food production device in subsequent analysis;

[0039] The application further obtains the killing ratio of each killing monitoring device and all microorganisms based on the multi-device pre-killing curve and the multi-device post-killing curve corresponding to all microorganisms, and obtains the microorganism ratio curve of each killing monitoring device; finally, when the killing monitoring device is sterilized and disinfected, based on the data detected by the microorganism in the killing monitoring device before and after sterilization and disinfection, the real-time ratio curve of the killing monitoring device is obtained, and the real-time ratio curve is compared with the microorganism ratio curve in single-device comparison and multi-device comparison, and the sterilization and disinfection of the killing monitoring device is monitored based on the comparison result, which has the advantage that by obtaining the killing ratio and further obtaining the microorganism ratio curve, the content ratio of multiple different microorganisms in the same food production device before and after sterilization and disinfection can be integrated, so as to effectively monitor the sterilization and disinfection effect of different microorganisms in the food production device in real-time sterilization and disinfection, and prevent the problem of decreased accuracy of sterilization and disinfection monitoring caused by too much microorganism content or too many microorganism species. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 The step flow chart of the method of the application is shown in the figure;

[0041] Figure 2 The schematic diagram of the single-microorganism analysis coordinate system of the application is shown in the figure;

[0042] Figure 3 The acquisition schematic diagram of the abnormal microorganism of the application is shown in the figure;

[0043] Figure 4 Structure diagram of an electronic device of the present application. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work are within the protection scope of the present application.

[0045] Embodiment 1, please refer to Figure 1 As shown in the figure, the present application provides a food production equipment sterilization and disinfection monitoring method, comprising the following steps:

[0046] Step S1, the food production equipment to be sterilized and disinfected is recorded as a sterilization and disinfection monitoring equipment; historical data of microbial detection in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection of the sterilization and disinfection monitoring equipment is obtained, and recorded as sterilization and disinfection detection data;

[0047] The sterilization and disinfection monitoring data of each sterilization and disinfection monitoring equipment is analyzed respectively using a multi-equipment microbial analysis method, and based on the analysis result, a multi-equipment pre-sterilization curve and a multi-equipment post-sterilization curve corresponding to each microorganism are obtained;

[0048] The multi-equipment microbial analysis method comprises: step S101, the data corresponding to each sterilization and disinfection in the sterilization and disinfection monitoring data is recorded as single sterilization and disinfection data DX1 to single sterilization and disinfection data DX m , wherein the single sterilization and disinfection data contains data of microbial detection in the sterilization and disinfection monitoring equipment before sterilization and disinfection and data of microbial detection in the sterilization and disinfection monitoring equipment after sterilization and disinfection;

[0049] Step S102, for any single sterilization and disinfection data: the microorganisms recorded in the single sterilization and disinfection data are recorded as sterilization and disinfection microorganisms SW1 to sterilization and disinfection microorganisms SW n ; based on the order of microbial detection in all sterilization and disinfection monitoring equipment from early to late in the single sterilization and disinfection data, all sterilization and disinfection monitoring equipment are sequentially recorded as sterilization and disinfection monitoring equipment XJ1 to sterilization and disinfection monitoring equipment XJ t ;

[0050] In the specific implementation process, by default, the sterilization and disinfection sequence of all sterilization and disinfection monitoring equipment is consistent at each sterilization and disinfection, if all sterilization and disinfection monitoring equipment are sterilized and disinfected at the same time in the actual factory, all sterilization and disinfection monitoring equipment can be sorted to ensure the smooth progress of subsequent analysis;

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

[0052] Step S104, for any one disinfection microorganism: obtain the content of the disinfection microorganism recorded in each disinfection monitoring device in the pre-disinfection data and the post-disinfection data; establish a plane rectangular coordinate system, which is recorded as a single microorganism analysis coordinate system, wherein the t coordinate points of the origin of the X axis of the single microorganism analysis coordinate system to the right are recorded as disinfection monitoring device XJ1 to disinfection monitoring device XJ t , the unit of the Y axis is CFU / cm 2 ; in the single microorganism analysis coordinate system, the name of the disinfection monitoring device is taken as the horizontal coordinate, and the content of the disinfection microorganism in the disinfection monitoring device in the pre-disinfection data is taken as the vertical coordinate, to obtain the corresponding point of each disinfection monitoring device, which is recorded as a pre-disinfection point; in the single microorganism analysis coordinate system, the name of the disinfection monitoring device is taken as the horizontal coordinate, and the content of the disinfection microorganism in the disinfection monitoring device in the post-disinfection data is taken as the vertical coordinate, to obtain the corresponding point of each disinfection monitoring device, which is recorded as a post-disinfection point.

[0053] In the specific implementation process, CFU / cm 2 is taken as the unit of the content of microorganisms in the food production device, and the unit of the Y axis of the single microorganism analysis coordinate system can be changed in real time according to the unit used for extracting microorganisms in actual application; for example, in one data analysis, the obtained single microorganism analysis coordinate system is as shown in Figure 2 , wherein the points XQ1 to XQ5 are pre-disinfection points, and the points XH1 to XH5 are post-disinfection points, and the curve DQ and the curve DH are obtained by fitting, which are single pre-disinfection curves and single post-disinfection curves, respectively.

[0054] Step S105, record the curve obtained by fitting all pre-disinfection points as a single pre-disinfection curve of the disinfection microorganism, and record the curve obtained by fitting all post-disinfection points as a single post-disinfection curve of the disinfection microorganism.

[0055] Obtain the single pre-disinfection curve and the single post-disinfection curve corresponding to all disinfection microorganisms in the single disinfection data.

[0056] Step S106, for any one disinfection microorganism: obtain the single pre-disinfection curve of the disinfection microorganism in all single disinfection data, and fit all single pre-disinfection curves in the same single microorganism analysis coordinate system to obtain a curve, which is recorded as a multi-device pre-disinfection curve of the disinfection microorganism.

[0057] Step S107, based on the analysis mode of all single-kill-before curves of the killing microorganisms, analyze all single-kill-after curves of the killing microorganisms, and obtain the multi-device kill-after curves corresponding to the multi-device kill-before curves;

[0058] In the specific implementation process, by obtaining the single-kill-before curve and the single-kill-after curve, and further obtaining the multi-device kill-before curve and the multi-device kill-after curve, the historical data corresponding to multiple disinfections can be integrated, and the content change of each microorganism before and after sterilization in all devices can be extracted, so that the sterilization effect of multiple microorganisms in the disinfection monitoring device can be effectively monitored in subsequent analysis.

[0059] Step S108, obtain the multi-device kill-before curve and the multi-device kill-after curve corresponding to all killing microorganisms.

[0060] Step S2, based on the multi-device kill-before curve and the multi-device kill-after curve corresponding to all microorganisms, obtain the kill ratio of each disinfection monitoring device corresponding to all microorganisms, and obtain the microorganism ratio curve of each disinfection monitoring device.

[0061] Step S2 includes: step S201, for any one disinfection monitoring device: obtaining the ordinate corresponding to the abscissa of the disinfection monitoring device in the multi-device kill-before curve of all killing microorganisms, and recording as kill-before content XH1 to kill-before content XHn respectively. n ; obtaining the ordinate corresponding to the abscissa of the disinfection monitoring device in the multi-device kill-after curve of all killing microorganisms, and recording as kill-after content HH1 to kill-after content HHn respectively. n

[0062] Step S202, for any one group of kill-before content XH e and kill-after content HH e , divide the kill-after content HH e by the value of the kill-before content XH e , and record the value as the kill ratio of the killing microorganism corresponding to the kill-before content XH e and the kill-after content HH e , wherein e is a positive integer less than or equal to n and greater than or equal to 1; obtain the kill ratio of all killing microorganisms corresponding to the disinfection monitoring device.

[0063] In the specific implementation process, for example, in the sequential data analysis, the kill-before content and the kill-after content corresponding to the E. coli are 20 CFU / cm 2 and 5 CFU / cm 2 ​The 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 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 acquisition method of the real-time proportion curve is basically consistent with the acquisition method of the microorganism proportion curve, that is, the proportion corresponding to the content of all microorganisms before sterilization and disinfection and the content of all microorganisms after sterilization and disinfection is obtained, the corresponding points in the coordinate system are obtained, and the corresponding curve is obtained.

[0070] Step S304, single device comparison, comprising: step S3041, for any one sterilization and disinfection monitoring device, placing the real-time proportion curve of the sterilization and disinfection detection device and the microorganism proportion curve in the same coordinate system, when the real-time proportion curve and the microorganism proportion curve completely coincide, recording the monitoring result of the sterilization and disinfection monitoring device as completely sterilized and disinfected;

[0071] Step S3042, when the real-time proportion curve and the microorganism proportion curve do not completely coincide, recording the area in the real-time proportion curve that does not coincide with the microorganism proportion curve as a monitoring abnormal area, and recording the point with the horizontal coordinate of any one sterilization and disinfection microorganism in the monitoring abnormal area as an abnormal point; recording the horizontal coordinates of all abnormal points as abnormal microorganisms, recording all sterilization and disinfection microorganisms that are not recorded as abnormal microorganisms as conventional microorganisms, and performing multi-device comparison, wherein when the abnormal point is below the microorganism proportion curve, the abnormal point is recorded as a low abnormal point, and when the abnormal point is above the microorganism proportion curve, the abnormal point is recorded as a high abnormal point;

[0072] In the specific implementation process, for example, in one data analysis, the obtained real-time proportion curve and microorganism proportion curve are curve SL1 and curve SL2 in Figure 3 respectively, then through analysis, it can be obtained that the real-time proportion curve before XX1 to XX2 is a monitoring abnormal area, and point SW is an abnormal point and a low abnormal point, and W1 corresponds to an abnormal microorganism.

[0073] Step S3 further comprises: step S305, multi-device comparison, comprising: step S3051, for any one sterilization and disinfection microorganism α corresponding to a high abnormal point: when the sterilization and disinfection microorganism α is recorded as an abnormal microorganism corresponding to a high abnormal point or a conventional microorganism in the single device comparison of all sterilization and disinfection monitoring devices, recording the sterilization and disinfection monitoring device that records the sterilization and disinfection microorganism α as an abnormal microorganism corresponding to a high abnormal point in all sterilization and disinfection monitoring devices as a sterilization and disinfection microorganism α content high device;

[0074] In the specific implementation process, when the sterilization and disinfection microorganism α is recorded as an abnormal microorganism corresponding to a high abnormal point or a conventional microorganism in the single device comparison of all sterilization and disinfection monitoring devices, it indicates that the sterilization and disinfection microorganism α is high in content or normal in content in all sterilization and disinfection monitoring devices, and therefore it indicates that the sterilization and disinfection microorganism α is not sufficiently sterilized and disinfected during sterilization and disinfection, and therefore the sterilization and disinfection microorganism α content high device can be marked to assist the staff to further sterilize and disinfect the sterilization and disinfection microorganism α.

[0075] Step S3052, when the killing microorganism a is recorded as an abnormal microorganism corresponding to a low abnormal point in the single-device comparison of any one of the killing monitoring devices, record all the killing monitoring devices that record the killing microorganism a as an abnormal microorganism as the killing microorganism a content unstable device;

[0076] In the specific implementation process, when the killing microorganism a is recorded as an abnormal microorganism corresponding to a low abnormal point in the single-device comparison of any one of the killing monitoring devices, it indicates that the killing microorganism a has both high content and low content in all killing monitoring devices, that is, the killing microorganism a has both excessive sterilization and disinfection and incomplete sterilization and disinfection, so that the killing microorganism a content unstable device can be obtained to assist the staff to further analyze the sterilization and disinfection status of the killing microorganism a;

[0077] Step S3053, based on the analysis method of the killing microorganism corresponding to the high abnormal point, analyze the killing microorganism corresponding to the low abnormal point, and obtain the killing microorganism content low device or the killing microorganism content unstable device.

[0078] Embodiment 2, please refer to Figure 4 As shown in the figure, Figure 4 An electronic device can include a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete mutual communication 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, run the steps in a food production equipment sterilization and disinfection monitoring method to realize the following functions: first, obtain the killing monitoring device and the killing detection data; use the multi-device microorganism analysis method to analyze the killing monitoring data of each killing monitoring device, and obtain the multi-device pre-killing curve and the multi-device post-killing curve corresponding to each microorganism based on the analysis result; then, based on the multi-device pre-killing curve and the multi-device post-killing curve corresponding to all microorganisms, obtain the killing ratio of each killing monitoring device and all microorganisms, and obtain the microorganism ratio curve of each killing monitoring device; finally, when the killing monitoring device is sterilized and disinfected, based on the data detected by the microorganism in the killing monitoring device before and after sterilization and disinfection, obtain the real-time ratio curve of the killing monitoring device, and compare the real-time ratio curve with the microorganism ratio curve in single-device comparison and multi-device comparison, and monitor the sterilization and disinfection of the killing monitoring device based on the comparison result.

[0079] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0080] In embodiment 3, the present application also provides a computer program product, which comprises a computer program stored on a computer readable storage medium, and the computer program comprises 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-mentioned method, and the method comprises the following steps: first, acquiring sterilization and disinfection monitoring equipment and sterilization and disinfection detection data; using a multi-device microbial analysis method to analyze the sterilization and disinfection monitoring data of each sterilization and disinfection monitoring equipment respectively, and acquiring the multi-device pre-sterilization curve and the multi-device post-sterilization curve corresponding to each microorganism based on the analysis result; then, based on the multi-device pre-sterilization curve and the multi-device post-sterilization curve corresponding to all microorganisms, acquiring the sterilization and disinfection ratio corresponding to each sterilization and disinfection monitoring equipment and all microorganisms, and acquiring the microbial ratio curve of each sterilization and disinfection monitoring equipment; finally, when sterilizing and disinfecting the sterilization and disinfection monitoring equipment, based on the data detected by the microorganisms in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection, acquiring the real-time ratio curve of the sterilization and disinfection monitoring equipment, and comparing the real-time ratio curve with the microbial ratio curve in single-device comparison and multi-device comparison, and monitoring the sterilization and disinfection of the sterilization and disinfection monitoring equipment based on the comparison result.

[0081] In embodiment 4, the application further provides a computer readable storage medium, and the application provides a storage medium, which stores a computer program, and the computer program is executed by a processor to run the steps of the sterilization and disinfection monitoring method of the food production equipment to realize the following functions: first, acquire the sterilization and disinfection monitoring equipment and the sterilization and disinfection detection data; use the multi-equipment microbial analysis method to analyze the sterilization and disinfection monitoring data of each sterilization and disinfection monitoring equipment respectively, and acquire the multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to each microorganism based on the analysis result; then, based on the multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to all microorganisms, acquire the sterilization and disinfection ratio corresponding to each sterilization and disinfection monitoring equipment and all microorganisms, and acquire the microorganism ratio curve of each sterilization and disinfection monitoring equipment; finally, when sterilizing and disinfecting the sterilization and disinfection monitoring equipment, based on the data detected by the microorganism in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection, acquire the real-time ratio curve of the sterilization and disinfection monitoring equipment, and perform single-equipment comparison and multi-equipment comparison between the real-time ratio curve and the microorganism ratio curve, and monitor the sterilization and disinfection of the sterilization and disinfection monitoring equipment based on the comparison result.

[0082] Through the description of the above embodiments, the embodiments of the application can be provided as a method, a system or a computer program product. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the method described in each embodiment or some parts of the embodiment.

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

[0084] Finally, it should be noted that the above examples are only used to illustrate the technical solutions of the present application, and are not intended to limit the same; although the present application has been described in detail with reference to the foregoing examples, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of monitoring sterilization of a food production plant, characterized in that, The method comprises the following steps: The food production equipment to be sterilized and disinfected is recorded as a sterilization and disinfection monitoring equipment; historical data of microorganism detection in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection is obtained, and recorded as sterilization and disinfection detection data; The sterilization and disinfection monitoring data of each sterilization and disinfection monitoring equipment is analyzed by using a multi-equipment microorganism analysis method, and the multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to each microorganism are obtained based on the analysis result; Based on the multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to all microorganisms, the sterilization and disinfection ratio corresponding to each sterilization and disinfection monitoring equipment and all microorganisms is obtained, and the microorganism ratio curve of each sterilization and disinfection monitoring equipment is obtained; When the sterilization and disinfection monitoring equipment is sterilized and disinfected, the real-time ratio curve of the sterilization and disinfection monitoring equipment is obtained based on the data of microorganism detection in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection, and the real-time ratio curve is compared with the microorganism ratio curve in single-equipment comparison and multi-equipment comparison, and the sterilization and disinfection of the sterilization and disinfection monitoring equipment is monitored based on the comparison result.

2. The method of claim 1, wherein the method comprises: The multi-equipment microorganism analysis method comprises: Corresponding data of each sterilization and disinfection in the disinfection monitoring data is recorded as single disinfection data DX1 to single disinfection data DX m Among them, the single disinfection data contains the data of detecting microorganisms in the disinfection monitoring equipment before sterilization and disinfection and the data of detecting microorganisms in the disinfection monitoring equipment after sterilization and disinfection. For any one single disinfection data: the microorganisms recorded in the single disinfection data are respectively recorded as disinfection microorganisms SW1 to disinfection microorganisms SW n ; based on the sequence from early to late of the detection of the microorganisms in all disinfection monitoring devices in the single disinfection data, all disinfection monitoring devices are sequentially recorded as disinfection monitoring devices XJ1 to disinfection monitoring devices XJ t .

3. The method of claim 2, wherein the method further comprises: The multi-equipment microorganism analysis method further comprises: The data of microorganism detection in all sterilization and disinfection monitoring equipment before sterilization and disinfection in single sterilization and disinfection data is recorded as pre-sterilization data, and the data of microorganism detection in all sterilization and disinfection monitoring equipment after sterilization and disinfection in single sterilization and disinfection data is recorded as post-sterilization data; For any one of the killing microorganism: obtaining the content of the killing microorganism recorded in each killing monitoring device in the pre-killing data and the post-killing data of the killing microorganism; establishing a plane rectangular coordinate system, denoted as a single microorganism analysis coordinate system, wherein t coordinate points of the coordinate origin in the X axis of the single microorganism analysis coordinate system to the right are sequentially denoted as killing monitoring device XJ1 to killing monitoring device XJt t , the unit of the Y axis is CFU / cm 2 ; in the single microorganism analysis coordinate system, taking the name of the killing monitoring device as the horizontal coordinate and the content of the killing microorganism in the killing monitoring device in the pre-killing data as the vertical coordinate, obtaining the corresponding point of each killing monitoring device, and denoted as a pre-killing point; in the single microorganism analysis coordinate system, taking the name of the killing monitoring device as the horizontal coordinate and the content of the killing microorganism in the killing monitoring device in the post-killing data as the vertical coordinate, obtaining the corresponding point of each killing monitoring device, and denoted as a post-killing point.

4. The method of claim 3, wherein the method comprises: The multi-equipment microorganism analysis method further comprises: The curve obtained by fitting all pre-sterilization points is recorded as a single pre-sterilization curve of the sterilization and disinfection microorganism, and the curve obtained by fitting all post-sterilization points is recorded as a single post-sterilization curve of the sterilization and disinfection microorganism; The single pre-sterilization curve and the single post-sterilization curve corresponding to all sterilization and disinfection microorganisms in single sterilization and disinfection data are obtained.

5. The method of claim 4, wherein the method further comprises: The multi-equipment microorganism analysis method further comprises: For any sterilization and disinfection microorganism, the single pre-sterilization curves of the sterilization and disinfection microorganism in all single sterilization and disinfection data are obtained, and the curve obtained by fitting all single pre-sterilization curves in the same single microorganism analysis coordinate system is recorded as a multi-equipment pre-sterilization curve of the sterilization and disinfection microorganism; Based on the analysis mode of all single pre-sterilization curves of the sterilization and disinfection microorganism, all single post-sterilization curves of the sterilization and disinfection microorganism are analyzed, and a multi-equipment post-sterilization curve corresponding to the multi-equipment pre-sterilization curve is obtained; The multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to all sterilization and disinfection microorganisms are obtained.

6. The method of claim 5, wherein the method further comprises: Based on the multi-equipment pre-sterilization curve and the multi-equipment post-sterilization curve corresponding to all microorganisms, the sterilization and disinfection ratio corresponding to each sterilization and disinfection monitoring equipment and all microorganisms is obtained, and the microorganism ratio curve of each sterilization and disinfection monitoring equipment is obtained; For any one disinfection monitoring device: obtain the ordinate corresponding to the point of the abscissa of the disinfection monitoring device in the multi-device pre-disinfection curve corresponding to all disinfection microorganisms, and mark them as pre-disinfection content XH1 to pre-disinfection content XH n respectively; obtain the ordinate corresponding to the point of the abscissa of the disinfection monitoring device in the multi-device post-disinfection curve corresponding to all disinfection microorganisms, and mark them as post-disinfection content HH1 to post-disinfection content HH n respectively; For any one set of pre-disinfection content XH e and post-disinfection content HH e , the value of the post-disinfection content HH e is divided by the pre-disinfection content XH e , and the result is recorded as the pre-disinfection content XH e and the post-disinfection content HH e , which corresponds to the disinfection ratio of the corresponding disinfection microorganism, wherein e is a positive integer less than or equal to n and greater than or equal to 1; the disinfection ratio of all disinfection microorganisms corresponding to the disinfection monitoring equipment is obtained; A plane rectangular coordinate system is established and denoted as a proportional integration coordinate system, wherein n coordinate points to the right of the coordinate origin of the X-axis of the proportional integration coordinate system are sequentially denoted as the killing microorganisms SW1 to SWn n , and the Y-axis is a constant axis; the name of the killing microorganism is taken as the horizontal coordinate, and the killing proportion of the killing microorganism is taken as the vertical coordinate to obtain all the marks of the killing microorganism in the proportional integration coordinate system, and the curve obtained by fitting all the marks is denoted as a microorganism proportion curve of the killing monitoring device.

7. The method of claim 6, wherein the method further comprises: When the sterilization and disinfection monitoring equipment is sterilized and disinfected, the real-time ratio curve of the sterilization and disinfection monitoring equipment is obtained based on the data of microorganism detection in the sterilization and disinfection monitoring equipment before and after sterilization and disinfection, and the real-time ratio curve is compared with the microorganism ratio curve in single-equipment comparison and multi-equipment comparison, and the sterilization and disinfection of the sterilization and disinfection monitoring equipment is monitored based on the comparison result. When sterilizing and disinfecting the disinfection and killing monitoring device, for any one disinfection and killing monitoring device: before sterilization and disinfection, the contents of the disinfection and killing microorganisms SW1 to SW n in the disinfection and killing monitoring device are obtained and are respectively recorded as real-time pre-content SQ1 to SQ n ; after sterilization and disinfection, the contents of the disinfection and killing microorganisms SW1 to SW n in the disinfection and killing monitoring device are obtained and are respectively recorded as real-time post-content SQ1 to SQ n ; based on the pre-treatment content XH1 to the pre-treatment content XH n and the post-treatment content HH1 to the post-treatment content HH n The way to obtain the microbial ratio curve is to obtain the real-time pre-treatment content SQ1 to the real-time pre-treatment content SQ n and the real-time post-treatment content SQ1 to the real-time post-treatment content SQ n The corresponding curve is recorded as the real-time ratio curve; The multi-equipment microorganism analysis method further comprises:

8. The method of claim 7, wherein the method further comprises: The real-time ratio curve of all sterilization and disinfection monitoring equipment is obtained. The real-time ratio curve is compared with the microorganism ratio curve in single-equipment comparison and multi-equipment comparison, and the sterilization and disinfection of the sterilization and disinfection monitoring equipment is monitored based on the comparison result. The single-device comparison includes: for any one disinfection monitoring device, placing the real-time proportion curve and the microorganism proportion curve of the disinfection detection device in the same coordinate system, and recording the monitoring result of the disinfection monitoring device as complete sterilization and disinfection when the real-time proportion curve and the microorganism proportion curve completely coincide; When the real-time proportion curve and the microorganism proportion curve do not completely coincide, recording the area in the real-time proportion curve that does not coincide with the microorganism proportion curve as a monitoring abnormal area, recording a point with an arbitrary disinfection microorganism in the monitoring abnormal area as an abnormal point, recording the horizontal coordinates of all abnormal points as abnormal microorganisms, recording all disinfection microorganisms that are not recorded as abnormal microorganisms as conventional microorganisms, and performing multi-device comparison, wherein when the abnormal point is below the microorganism proportion curve, the abnormal point is recorded as a low abnormal point, and when the abnormal point is above the microorganism proportion curve, the abnormal point is recorded as a high abnormal point.

9. The method of claim 8, wherein the method further comprises: The single-device comparison and the multi-device comparison of the real-time proportion curve and the microorganism proportion curve, and the monitoring of the sterilization and disinfection of the disinfection monitoring device based on the comparison result further include: The multi-device comparison includes: for any one disinfection microorganism α corresponding to a high abnormal point: when the disinfection microorganism α is recorded as an abnormal microorganism corresponding to a high abnormal point or a conventional microorganism in the single-device comparison of all disinfection monitoring devices, recording the disinfection monitoring device that records the disinfection microorganism α as an abnormal microorganism corresponding to a high abnormal point in all disinfection monitoring devices as a disinfection microorganism α content high device; When the disinfection microorganism α is recorded as an abnormal microorganism corresponding to a low abnormal point in the single-device comparison of any one disinfection monitoring device, recording the disinfection monitoring device that records the disinfection microorganism α as an abnormal microorganism in all disinfection monitoring devices as a disinfection microorganism α content unstable device.

10. The method of claim 9, wherein the method further comprises: The multi-device comparison further includes: based on the analysis mode of the disinfection microorganism corresponding to the high abnormal point, analyzing the disinfection microorganism corresponding to the low abnormal point, and obtaining a disinfection microorganism content low device or a disinfection microorganism content unstable device corresponding thereto.

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