A multi-source collaborative irradiation sterilization control method and system

Abstract

The present invention relates to the technical field of irradiation sterilization control, and specifically discloses a multi-source collaborative irradiation sterilization control method and system, which specifically includes the following steps: Step 1: Obtain sterilization effect data, analyze and process it, and calculate the uniform characterization value of the sterilization effect; Step 2: Compare the uniform characterization value with the uniform characterization threshold. If the uniform characterization value is greater than the uniform characterization threshold, generate a non-uniform signal; Step 3: Based on the non-uniform signal, obtain the irradiation energy value during the sterilization process, analyze and process it, and determine the sub-region with a large deviation in the irradiation energy value. Thus, through in-depth analysis of the sterilization effect data, potential problems during the sterilization process can be identified, the sterilization effects of each sub-region can be accurately monitored and evaluated, the non-uniformity during the sterilization process can be timely detected and adjusted, which helps technicians make more scientific and reasonable decisions to optimize the sterilization process and improve product quality.

Description

Technical Field

[0001] The present invention relates to the technical field of irradiation sterilization control, and particularly relates to a multi-source collaborative irradiation sterilization control method and system. Background Art

[0002] Cobalt-60 gamma irradiation sterilization is a technique that uses gamma rays generated by the radioactive isotope cobalt-60 for sterilization. Cobalt-60 is a radioactive isotope that can spontaneously emit gamma rays. Gamma rays have strong penetrability and can penetrate various materials, products, and packages, causing direct or indirect damage to microorganisms, thereby achieving the sterilization effect;

[0003] Multi-source collaborative irradiation is an advanced radiation processing technology that combines multiple irradiation sources and realizes the irradiation treatment of substances through their collaborative effects. This technology has been widely applied in many fields, such as medical treatment, food processing, material modification, etc.;

[0004] However, although the multi-source collaborative irradiation technology has many advantages, uneven sterilization may still occur in actual applications. If it cannot be detected in time, it will affect the sterilization effect. Traditional analysis methods often rely on sampling and testing of products after sterilization, and use means such as microbial culture or fluorescence method to evaluate the sterilization effect. However, this method has many limitations, such as long detection cycle, lagging results, inability to monitor in real time. In addition, the results of sampling and testing may also be affected by various factors, such as the selection of samples, the accuracy of detection methods, etc., resulting in deviations in the analysis results.

[0005] In order to analyze the sterilization non-uniformity more comprehensively, a more diversified method is needed;

[0006] In view of this, we propose a multi-source collaborative irradiation sterilization control method and system. Summary of the Invention

[0007] The purpose of the present invention is to provide a multi-source collaborative irradiation sterilization control method and system to solve the above technical problems in the background.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] In the first aspect, the present invention provides a multi-source collaborative irradiation sterilization control method, which specifically includes the following steps:

[0010] Step 1: Obtain sterilization effect data, analyze and process it, and calculate the uniformity characterization value of the sterilization effect;

[0011] Step 2: Compare the uniformity characterization value with the uniformity characterization threshold. If the uniformity characterization value is greater than the uniformity characterization threshold, generate a non-uniform signal;

[0012] Step 3: Based on the non-uniform signal, obtain the irradiation energy value during the sterilization process, and perform analysis and processing to determine the sub-region with a large deviation in the irradiation energy value;

[0013] Step 4: Obtain the non-uniform sterilization sub-region and the sub-region with a large deviation in the irradiation energy value, and perform analysis and processing to output relevant judgment values. Compare the relevant judgment values with the relevant judgment thresholds. If the relevant judgment value is greater than the relevant judgment threshold, generate a large-correlation signal;

[0014] Step 5: Based on the generated large-correlation signal, regulate the irradiation energy value to perform sterilization control.

[0015] As a further solution of the present invention: The process of obtaining the uniformity characterization value is as follows:

[0016] Analyze the unstable sub-region to obtain the proportion of the number of unstable regions;

[0017] Analyze the deviation value of the change in the number of microorganisms to obtain the ratio of the degree of deviation in the change in the number of microorganisms;

[0018] Calculate the uniformity characterization value according to the proportion of the number of unstable regions and the ratio of the degree of deviation in the change in the number of microorganisms.

[0019] As a further solution of the present invention: The process of obtaining the unstable sub-region and the deviation value of the change in the number of microorganisms is as follows:

[0020] Divide the area to be sterilized into several sub-regions, predict the monitoring period, and divide the monitoring period into several monitoring time points;

[0021] At each monitoring time point, obtain the sterilization effect data of each sub-region, where the sterilization effect data includes the change value of the number of microorganisms;

[0022] Within one monitoring time point, sum and average the change values of the number of microorganisms in all sub-regions to obtain the average change value of the number of microorganisms. Calculate the difference between the change values of the number of microorganisms in all sub-regions and the average change value of the number of microorganisms, and take the absolute value of the difference to obtain the deviation value of the change in the number of microorganisms;

[0023] Compare the deviation value of the change in the number of microorganisms with the deviation threshold of the number of microorganisms;

[0024] If the deviation value of the change in the number of microorganisms is greater than the deviation threshold of the change in the number of microorganisms, generate an unstable signal and mark the sub-region as an unstable sub-region.

[0025] As a further solution of the present invention: The process of obtaining the proportion of the number of unstable regions and the ratio of the degree of deviation in the change in the number of microorganisms is as follows:

[0026] Obtain the number value of the unstable sub-region, calculate the ratio of the number value of the unstable sub-region to the total number of sub-regions to obtain the proportion of the number of unstable regions.

[0027] Extract the maximum and minimum values from the deviation values of the microbial quantity change, calculate the difference between the maximum value and the minimum value of the deviation values of the microbial quantity change to obtain the deviation degree value of the microbial quantity change, and calculate the ratio of the deviation degree value of the microbial quantity change to the minimum value of the deviation values of the microbial quantity change to obtain the deviation degree ratio of the microbial quantity change.

[0028] As a further solution of the present invention: the process of obtaining the sub-region with a large deviation in irradiation energy value is as follows:

[0029] Obtain the monitoring time points corresponding to the generation of uneven signals, and mark them as the time points to be analyzed;

[0030] At the time points to be analyzed, obtain the irradiation energy values corresponding to each sub-region, sum and average the irradiation energy values of each sub-region to obtain the average irradiation energy value, calculate the difference between the irradiation energy value corresponding to each sub-region and the average irradiation energy value, and take the absolute value of the difference to obtain the irradiation energy deviation value;

[0031] Compare the irradiation energy deviation values with the irradiation energy deviation threshold respectively;

[0032] If the irradiation energy deviation value is greater than the irradiation energy deviation threshold, generate an irradiation energy deviation large signal;

[0033] Obtain the sub-region corresponding to the generation of the irradiation energy deviation large signal, and mark it as the sub-region with a large deviation in irradiation energy value.

[0034] As a further solution of the present invention: the process of obtaining the relevant judgment value is as follows:

[0035] Analyze the overlapping sub-regions of the uneven sterilization sub-region and the sub-region with a large deviation in irradiation energy value to obtain the overlapping characterization value;

[0036] Analyze the deviation coefficient to obtain the variance value of the deviation coefficient;

[0037] Calculate the relevant judgment value according to the overlapping characterization value and the variance value of the deviation coefficient.

[0038] As a further solution of the present invention: the process of obtaining the overlapping characterization value is as follows:

[0039] Obtain the unstable sub-region, mark it as the uneven sterilization sub-region, obtain the number value of the uneven sterilization sub-region, obtain the sub-region with a large deviation in irradiation energy value and its number value;

[0040] Extract the overlapping sub-region of the uneven sterilization sub-region and the sub-region with a large deviation in irradiation energy, and obtain the value of the number of overlapping sub-regions;

[0041] Calculate the coincidence characterization value based on the number value of the uneven sterilization sub-region, the number value of the sub-region with a large deviation in irradiation energy value, and the number value of the overlapping sub-region.

[0042] As a further solution of the present invention: the process of obtaining the variance value of the deviation coefficient is as follows:

[0043] At the time point to be analyzed, the deviation value of the change value of the microorganism quantity in the overlapping sub-region is ratio-processed with the average value of the change of the microorganism quantity to obtain the first deviation ratio, and the irradiation energy deviation value in the overlapping sub-region is ratio-processed with the average value of the irradiation energy to obtain the second deviation ratio;

[0044] At the time point to be analyzed, the first deviation ratio in the overlapping sub-region is ratio-processed with the second deviation ratio to obtain the deviation coefficient;

[0045] At the time point to be analyzed, substitute the deviation coefficients corresponding to all overlapping sub-regions into the variance formula to calculate the variance value of the deviation coefficient.

[0046] As a further solution of the present invention: the process of regulating the irradiation energy value is as follows:

[0047] Based on the generated large-correlation signal, obtain the irradiation energy deviation value corresponding to the sub-region with a large deviation in irradiation energy value;

[0048] Substitute into the formula , calculate the irradiation power adjustment value PT, where FC represents the irradiation energy deviation value, and TC represents the difference between two adjacent monitoring time points;

[0049] Obtain the irradiation power value corresponding to the time point to be analyzed, and compare the irradiation energy value corresponding to the sub-region with a large deviation in irradiation energy value with the average irradiation energy at the time point to be analyzed;

[0050] If the irradiation energy value corresponding to the sub-region with a large deviation in irradiation energy value is less than the average irradiation energy at the time point to be analyzed, then calculate the difference between the irradiation power value corresponding to the time point to be analyzed and the irradiation power adjustment value to obtain the target irradiation power value;

[0051] If the irradiation energy value corresponding to the sub-region with a large deviation in irradiation energy value is greater than the average irradiation energy at the time point to be analyzed, then add the irradiation power value corresponding to the time point to be analyzed and the irradiation power adjustment value to calculate the target irradiation power value;

[0052] Compare the obtained target irradiation power value with the irradiation power threshold range;

[0053] If the target irradiation power value is within the irradiation power threshold range, the irradiation power can be adjusted to the target irradiation power value;

[0054] If the target irradiation power value is not within the irradiation power threshold range, it is adjusted by other means.

[0055] In a second aspect, the present invention provides a multi-source collaborative irradiation sterilization control system, which includes:

[0056] Sterilization data acquisition and processing module: acquires sterilization effect data, analyzes and processes it, and calculates the uniform characterization value of the sterilization effect;

[0057] Sterilization effect judgment module: compares the uniform characterization value with the uniform characterization threshold. If the uniform characterization value is greater than the uniform characterization threshold, an uneven signal is generated;

[0058] Sterilization irradiation data acquisition module: based on the uneven signal, acquires the irradiation energy value during the sterilization process, analyzes and processes it, and determines the sub-region with a large deviation in the irradiation energy value;

[0059] Coincidence correlation judgment and analysis judgment module: acquires the uneven sterilization sub-region and the sub-region with a large deviation in the irradiation energy value, analyzes and processes them, outputs the relevant judgment value, compares the relevant judgment value with the relevant judgment threshold. If the relevant judgment value is greater than the relevant judgment threshold, a large correlation signal is generated;

[0060] Regulation and optimization module: based on the generated large correlation signal, regulates the irradiation energy value to perform sterilization control.

[0061] Advantages of the present invention:

[0062] The present invention acquires the sterilization effect data at each monitoring time point during the sterilization process, analyzes and processes the sterilization effect data, calculates the proportion of unstable numbers and the ratio of the deviation degree of the change in the number of microorganisms, and calculates the uniform characterization value based on the proportion of unstable numbers and the ratio of the deviation degree of the change in the number of microorganisms. Compare the uniform characterization value with the uniform characterization threshold. If the uniform characterization value is greater than the uniform characterization threshold, it indicates that the sterilization effect at the corresponding monitoring time point is uneven. Therefore, through in-depth analysis of the sterilization effect data, potential problems during the sterilization process can be identified, the sterilization effects of each sub-region can be accurately monitored and evaluated, the unevenness during the sterilization process can be detected and adjusted in a timely manner, which helps technicians make more scientific and reasonable decisions to optimize the sterilization process and improve product quality;

[0063] When generating non-uniform signals, the present invention obtains the irradiation energy values of each sub-region, identifies the sub-regions with large deviations in irradiation energy values, extracts the overlapping sub-regions based on the sub-regions with large deviations in irradiation energy values and the non-uniform sterilization sub-regions, calculates the overlapping characterization value and the deviation coefficient, calculates the variance value of the deviation coefficient of the overlapping sub-regions through the deviation coefficient, and calculates the relevant judgment value based on the overlapping characterization value and the variance value of the deviation coefficient. By comparing the relevant judgment value with the relevant judgment threshold, if the relevant judgment value is greater than the relevant judgment threshold, it is judged that the correlation is large. Thus, through data analysis, it can be determined that the uneven sterilization effect is related to the uneven distribution of irradiation energy. Furthermore, based on the judgment result, timely optimization control can be carried out to improve the subsequent sterilization efficiency.

[0064] The present invention provides an efficient, accurate and reliable optimization control method for the sterilization process. By deeply analyzing the data in the sterilization process, this method can timely detect and adjust the sterilization non-uniformity, and at the same time carry out targeted regulation according to the uneven distribution of irradiation energy, thereby improving the sterilization efficiency and product quality in the subsequent process. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The present invention will be further described below with reference to the accompanying drawings.

[0066] Figure 1 is a flow block diagram of a multi-source collaborative irradiation sterilization control method of the present invention;

[0067] Figure 2 is a process block diagram for obtaining the uniformity characterization value in a multi-source collaborative irradiation sterilization control method of the present invention;

[0068] Figure 3 is a block diagram of a multi-source collaborative irradiation sterilization control system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0069] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention. Embodiment 1

[0070] Please refer to Figure 1 and Figure 2 As shown, a multi-source collaborative irradiation sterilization control method described in an embodiment of the present invention specifically includes the following steps:

[0071] Step 1: Obtain sterilization effect data, perform analysis and processing, and calculate the uniformity characterization value of the sterilization effect;

[0072] In some embodiments, the area to be sterilized is divided into several sub - regions, a monitoring period is predicted, and the monitoring period is divided into several monitoring time points. Among them, the monitoring period is set by those skilled in the art according to historical experience;

[0073] At each monitoring time point, sterilization effect data of each sub - region is obtained. Among them, the sterilization effect data includes the change value of the number of microorganisms;

[0074] It should be noted that the method for obtaining the number of microorganisms is as follows: Using the luciferase - luciferin system, when ATP (adenosine triphosphate) is present, luciferase catalyzes the reaction of luciferin with oxygen to produce fluorescence. By detecting the fluorescence intensity, the ATP content is quantified, and then the number of microorganisms is deduced. The main device is an ATP fluorescence detector, and this method has a fast detection speed;

[0075] Within one monitoring time point, the change values of the number of microorganisms in all sub - regions are summed and averaged to obtain the average change value of the number of microorganisms. The difference between the change values of the number of microorganisms in all sub - regions and the average change value of the number of microorganisms is calculated, and the absolute value of the difference is taken to obtain the deviation value of the change in the number of microorganisms;

[0076] The deviation value of the change in the number of microorganisms is compared with the deviation threshold of the number of microorganisms. Among them, the deviation threshold of the change in the number of microorganisms is a critical value used to judge the deviation degree between the change value of the number of microorganisms in this sub - region and the average change value of the number of microorganisms, and is set by those skilled in the art based on historical experimental data;

[0077] If the deviation value of the change in the number of microorganisms is less than or equal to the deviation threshold of the change in the number of microorganisms, it indicates that the deviation degree between the change value of the number of microorganisms in this sub - region and the average change value of the number of microorganisms is small, a stable signal is generated, and the sub - region is marked as a stable sub - region;

[0078] If the deviation value of the change in the number of microorganisms is greater than the deviation threshold of the change in the number of microorganisms, it indicates that the deviation degree between the change value of the number of microorganisms in this sub - region and the average change value of the number of microorganisms is large, an unstable signal is generated, and the sub - region is marked as an unstable sub - region;

[0079] The number value of the unstable sub - regions is obtained, and the ratio of the number value of the unstable sub - regions to the total number of sub - regions is calculated to obtain the proportion of the number of unstable regions;

[0080] It should be explained that the meaning reflected by the proportion of the number of unstable regions is as follows: The proportion of the number of unstable regions is calculated from the ratio of the number of unstable sub - regions. Among them, the unstable sub - region refers to the sub - region where the deviation between the change value of the number of microorganisms and the average change value of the number of microorganisms is large. That is, the larger the number of unstable regions, the higher the degree of non - uniformity of the sterilization effect at this monitoring time point;

[0081] Extract the maximum and minimum values from the deviation values of the microbial quantity change. Calculate the difference between the maximum and minimum values of the deviation values of the microbial quantity change to obtain the deviation degree value of the microbial quantity change. Calculate the ratio of the deviation degree value of the microbial quantity change to the minimum value of the deviation values of the microbial quantity change to obtain the deviation degree ratio of the microbial quantity change;

[0082] It should be noted that the meaning reflected by the deviation degree ratio of the microbial quantity change is as follows: The deviation degree ratio of the microbial quantity change is calculated from the maximum and minimum values of the deviation values of the microbial quantity change. That is, the greater the difference between the maximum and minimum values of the deviation values of the microbial quantity change, the greater the deviation degree of the deviation values of the microbial quantity change between the sub-regions corresponding to the maximum and minimum values, which indicates that the unevenness degree of the sterilization effect is higher at the monitoring time point;

[0083] Substitute into the formula , and calculate to obtain the uniform characterization value JX. Among them, BW represents the proportion of unstable numbers, ZF represents the deviation degree ratio of the microbial quantity change, and a1 and a2 are preset proportionality coefficients. The value of a1 is 2.58, and the value of a2 is 1.74;

[0084] Step 2: Compare the uniform characterization value with the uniform characterization threshold to evaluate the uniformity of the sterilization effect;

[0085] In some embodiments, obtain the uniform characterization value at each detection time point, and compare the uniform characterization value with the uniform characterization threshold. Among them, the uniform characterization threshold is a critical value used to judge the uniformity of the sterilization effect, and is set by those skilled in the art based on historical experimental data from multiple times;

[0086] If the uniform characterization value is less than or equal to the uniform characterization threshold, it indicates that the sterilization effect corresponding to this monitoring time point is relatively uniform, and a uniform signal is generated;

[0087] If the uniform characterization value is greater than the uniform characterization threshold, it indicates that the sterilization effect corresponding to this monitoring time point is non-uniform, and a non-uniform signal is generated;

[0088] The technical solution of the embodiment of the present invention is mainly as follows: By obtaining the sterilization effect data at each monitoring time point during the sterilization process, analyzing and processing the sterilization effect data, calculating the proportion of unstable numbers and the deviation degree ratio of the change in the number of microorganisms, and calculating the uniform characterization value based on the proportion of unstable numbers and the deviation degree ratio of the change in the number of microorganisms. Comparing the uniform characterization value with the uniform characterization threshold, if the uniform characterization value is greater than the uniform characterization threshold, it indicates that the sterilization effect at the corresponding monitoring time point is uneven. Therefore, through in-depth analysis of the sterilization effect data, potential problems during the sterilization process can be identified, the sterilization effects of each sub-region can be accurately monitored and evaluated, the unevenness during the sterilization process can be detected and adjusted in a timely manner, which helps technicians make more scientific and reasonable decisions to optimize the sterilization process and improve product quality. Example 2

[0089] On the basis of Example 1, the area with a lower irradiation energy value may not achieve an effective sterilization effect, while the area with an excessive irradiation energy value may be over-sterilized and even damage the product. Therefore, in this example, the irradiation energy value is analyzed to determine whether the uneven sterilization effect is related to the uneven distribution of the irradiation energy value. A multi-source collaborative irradiation sterilization control method described in the embodiment of the present invention specifically further includes the following steps:

[0090] Step 3: Based on the uniform signal, obtain the irradiation energy value during the sterilization process, and perform analysis and processing to obtain the sub-region with a large deviation in the irradiation energy value;

[0091] In some embodiments, obtain the monitoring time point corresponding to the generated uneven signal, and mark it as the time point to be analyzed;

[0092] At the time point to be analyzed, obtain the irradiation energy value corresponding to each sub-region, sum and average the irradiation energy values of each sub-region to obtain the average irradiation energy value, calculate the difference between the irradiation energy value corresponding to each sub-region and the average irradiation energy value, and take the absolute value of the difference to obtain the irradiation energy deviation value;

[0093] Compare the irradiation energy deviation value with the irradiation energy deviation threshold respectively. Among them, the irradiation energy deviation threshold is a critical value used to judge the deviation degree between the irradiation energy value of the sub-region and the average irradiation energy value. The irradiation energy deviation threshold is set by those skilled in the art based on historical experimental data from multiple experiments;

[0094] If the irradiation energy deviation value is less than or equal to the irradiation energy deviation threshold, it indicates that the deviation between the irradiation energy value of the sub-region and the average irradiation energy value is small, and an irradiation energy deviation small signal is generated;

[0095] If the irradiation energy deviation value is greater than the irradiation energy deviation threshold, it indicates that the deviation between the irradiation energy value of this sub-region and the average irradiation energy is large, and a large irradiation energy deviation signal is generated;

[0096] Obtain the sub-region corresponding to the generated large irradiation energy deviation signal, and mark the sub-region with a large deviation in irradiation energy value;

[0097] Step 4: Obtain the sub-region with uneven sterilization and the sub-region with a large deviation in irradiation energy value, calculate the relevant judgment value, and judge the correlation degree between the sub-region with uneven sterilization and the sub-region with a large deviation in irradiation energy value;

[0098] In some embodiments, obtain the unstable sub-region, mark it as the sub-region with uneven sterilization, obtain the number value of the sub-region with uneven sterilization, obtain the sub-region with a large deviation in irradiation energy value and its number value;

[0099] Extract the overlapping sub-region between the sub-region with uneven sterilization and the sub-region with a large irradiation energy deviation, and obtain the number value of the overlapping sub-region;

[0100] Substitute into the formula , and calculate to obtain the overlapping characterization value CH, where Q1 represents the number value of the sub-region with uneven sterilization, Q2 represents the sub-region with a large deviation in irradiation energy value, and Q3 represents the number value of the overlapping sub-region;

[0101] It should be explained that the meaning reflected by the overlapping characterization value is: the overlapping characterization value is calculated from the proportion of the overlapping sub-region in the sub-region with uneven sterilization and the proportion of the overlapping sub-region in the sub-region with a large deviation in irradiation energy value. That is, the larger the proportion of the overlapping sub-region in the sub-region with uneven sterilization, the higher the degree of overlap. That is, the larger the proportion of the overlapping sub-region in the sub-region with a large deviation in irradiation energy value, the higher the degree of overlap;

[0102] At the time point to be analyzed, process the deviation value of the change in the number of microorganisms in the overlapping sub-region and the average value of the change in the number of microorganisms to obtain the first deviation ratio, and process the irradiation energy deviation value in the overlapping sub-region and the average irradiation energy to obtain the second deviation ratio;

[0103] At the time point to be analyzed, process the ratio of the first deviation ratio to the second deviation ratio in the overlapping sub-region to obtain the deviation coefficient;

[0104] At the time point to be analyzed, substitute the deviation coefficients corresponding to all overlapping sub-regions into the variance formula to calculate the variance value of the deviation coefficient;

[0105] Substitute into the formula , and calculate to obtain the relevant judgment value PD, where CH represents the overlapping characterization value, FC represents the variance value of the deviation coefficient, and s1, s2 are weight coefficients, the value of s1 is 0.57, and the value of s2 is 0.43;

[0106] It should be noted that the meaning reflected by the relevant judgment value is as follows: the relevant judgment value is calculated from the coincidence characterization value and the variance value of the deviation coefficient. The larger the coincidence characterization value, the greater the coincidence degree between the non-uniform sterilization sub-region and the sub-region with a large deviation of the irradiation energy value, and the greater the correlation. The smaller the variance value of the deviation coefficient, the smaller the volatility of the deviation coefficient, and the greater the correlation;

[0107] Compare the relevant judgment value with the relevant judgment threshold, where the relevant judgment threshold is set by those skilled in the art based on historical experimental data;

[0108] If the relevant judgment value is less than or equal to the relevant judgment threshold, it indicates that the correlation between the non-uniform sterilization effect and the uneven distribution of the irradiation energy value is small, and a small-correlation signal is generated;

[0109] If the relevant judgment value is greater than the relevant judgment threshold, it indicates that the correlation between the non-uniform sterilization effect and the uneven distribution of the irradiation energy value is large, and a large-correlation signal is generated;

[0110] The technical solution of the embodiment of the present invention is mainly: when generating a non-uniform signal, by obtaining the irradiation energy value of each sub-region, obtaining the sub-region with a large deviation of the irradiation energy value, extracting the overlapping sub-region based on the sub-region with a large deviation of the irradiation energy value and the non-uniform sterilization sub-region, calculating the coincidence characterization value and the deviation coefficient, calculating the variance value of the deviation coefficient of the overlapping sub-region through the deviation coefficient, and calculating the relevant judgment value based on the coincidence characterization value and the variance value of the deviation coefficient. Compare the relevant judgment value with the relevant judgment threshold. If the relevant judgment value is greater than the relevant judgment threshold, it is judged as having a large correlation. Thus, through data analysis, it can be judged that the non-uniform sterilization effect is related to the uneven distribution of the irradiation energy, and then through the judgment result, timely optimization control can be carried out to improve the sterilization efficiency. Embodiment 3

[0111] Based on Embodiment 1 and Embodiment 2, a multi-source collaborative irradiation sterilization control method described in an embodiment of the present invention further includes the following steps:

[0112] Step Five: Regulate the irradiation energy value based on the generated large-correlation signal;

[0113] In some embodiments, based on the generated large-correlation signal, obtain the irradiation energy deviation value corresponding to the sub-region with a large deviation of the irradiation energy value;

[0114] Substitute into the formula , and calculate the irradiation power adjustment value PT, where FC represents the irradiation energy deviation value, and TC represents the difference between two adjacent monitoring time points;

[0115] Obtain the irradiation power value corresponding to the time point to be analyzed, and compare the irradiation energy value corresponding to the sub-region with large irradiation energy value deviation with the average irradiation energy value at the time point to be analyzed;

[0116] If the irradiation energy value corresponding to the sub-region with large irradiation energy value deviation is less than the average irradiation energy value at the time point to be analyzed, then calculate the difference between the irradiation power value corresponding to the time point to be analyzed and the irradiation power adjustment value to obtain the target irradiation power value;

[0117] If the irradiation energy value corresponding to the sub-region with large irradiation energy value deviation is greater than the average irradiation energy value at the time point to be analyzed, then add the irradiation power value corresponding to the time point to be analyzed and the irradiation power adjustment value to calculate and obtain the target irradiation power value;

[0118] Compare the obtained target irradiation power value with the irradiation power threshold range, where the irradiation power threshold range is summarized and set by those skilled in the art according to the equipment model and experience;

[0119] If the target irradiation power value is within the irradiation power threshold range, then adjust the irradiation power to the target irradiation power value;

[0120] If the target irradiation power value is not within the irradiation power threshold range, then adjust it by other means, and the other means include but are not limited to increasing or decreasing the number of irradiation devices, changing the irradiation distance or direction;

[0121] The technical solution of the embodiment of the present invention is mainly: by calculating the regulation coefficient, the regulation of the irradiation energy value is carried out, and this regulation is based on the large signal of the correlation between the sterilization effect and the uneven distribution of irradiation energy, so it can more accurately adjust the problem area, thereby improving the uniformity and efficiency of sterilization. Embodiment 4

[0122] On the basis of Embodiment 1 and Embodiment 2, please refer to Figure 3 As shown, a multi-source collaborative irradiation sterilization control system described in the embodiment of the present invention specifically includes:

[0123] Sterilization data acquisition and processing module: acquire sterilization effect data, perform analysis and processing, and calculate the uniform characterization value of the sterilization effect;

[0124] Sterilization effect judgment module: compare the uniform characterization value with the uniform characterization threshold to evaluate the uniformity of the sterilization effect;

[0125] Sterilization irradiation data acquisition module: based on the generated non-uniform signal, acquire the irradiation energy value during the sterilization process, perform analysis and processing, and obtain the sub-region with large irradiation energy value deviation;

[0126] Coincidence correlation judgment and analysis module: Obtain the sub-areas with uneven sterilization and the sub-areas with large deviation of irradiation energy values, calculate the relevant judgment values, and judge the correlation degree between the sub-areas with uneven sterilization and the sub-areas with large deviation of irradiation energy values;

[0127] Regulation and optimization module: Based on the generated signals with high correlation, regulate the irradiation energy values.

[0128] The setting of the magnitude of the above threshold is for the convenience of comparison. Regarding the magnitude of the threshold, it depends on the amount of sample data and the base quantity set by those skilled in the art for each group of sample data; for example: in the actual obtaining process, there are many ratios of the proportion of unstable numbers and the change deviation increase ratios of the microbial quantity. Process these ratios of the proportion of unstable numbers and the change deviation increase ratios of the microbial quantity for many groups to obtain the corresponding evenly characterized values for each group. The staff evaluate the evenness of sterilization based on these evenly characterized values for many groups, thereby obtaining a corresponding relationship between the evenly characterized value and the evenness of sterilization, and then derive and divide the evenly characterized threshold according to the evenness of sterilization, so as to obtain the evenly characterized threshold. Compare the obtained evenly characterized value with the evenly characterized threshold, and the recognition of the evenness of sterilization corresponding to the evenly characterized value is completed.

[0129] The above has described a detailed implementation of the present invention, but the content described is only the preferred implementation of the present invention and cannot be considered as used to limit the scope of implementation of the present invention. Any equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A multi-source collaborative irradiation sterilization control method, characterized in that: The specific steps include: Step 1: Obtain sterilization effect data, analyze and process it, and calculate the uniform characterization value of the sterilization effect; The process of obtaining the uniform characterization value is: Analyze the unstable sub-regions and obtain the proportion of unstable numbers; The deviation value of microbial quantity change is analyzed to obtain the deviation degree ratio of microbial quantity change; The uniform characterization value was calculated based on the proportion of unstable numbers and the degree of deviation of microbial quantity changes; Step 2: Compare the uniform characterization value with the uniform characterization threshold, and if the uniform characterization value is greater than the uniform characterization threshold, generate an inhomogeneous signal; Step 3: Based on the non-uniform signal, the irradiation energy value in the sterilization process is obtained, and analyzed and processed to determine the sub-region with large deviation of the irradiation energy value; Step 4: Obtain the sterilization uneven sub-region and the irradiation energy value large deviation sub-region, analyze and process them, output the relevant judgment value, compare the relevant judgment value with the relevant judgment threshold, and if the relevant judgment value is greater than the relevant judgment threshold, generate a large correlation signal; Step 5: Based on the generated large correlation signal, the irradiation energy value is adjusted to perform sterilization control.

2. A multi-source collaborative radiation sterilization control method according to claim 1, characterized in that: The process of obtaining the unstable sub-region and the deviation value of the microbial quantity change is as follows: Divide the area to be sterilized into several sub-areas, predict the monitoring period, and divide the monitoring period into several monitoring time points; At each monitoring time point, obtaining sterilization effect data of each sub-area, wherein the sterilization effect data includes a change value of the number of microorganisms; At a monitoring time point, the change values ​​of the number of microorganisms in all sub-areas are summed up and averaged to obtain the mean value of the change in the number of microorganisms. The difference between the change values ​​of the number of microorganisms in all sub-areas and the mean value of the change in the number of microorganisms is calculated, and the absolute value of the difference is taken to obtain the deviation value of the change in the number of microorganisms. comparing the microbial population change deviation value with the microbial population deviation threshold; If the microbial population change deviation value is greater than the microbial population change deviation threshold, an unstable signal is generated and the sub-region is marked as an unstable sub-region.

3. The multi-source coordinated radiation sterilization control method according to claim 1, characterized in that: The process of obtaining the unstable number ratio and the microbial quantity variation deviation ratio is as follows: Obtain the number of unstable sub-regions, calculate the ratio of the number of unstable sub-regions to the total number of sub-regions, and obtain the proportion of unstable sub-regions; The maximum and minimum values ​​of the deviation values ​​of the change in the number of microorganisms are extracted, the difference between the maximum and minimum values ​​of the deviation values ​​of the change in the number of microorganisms is calculated to obtain the deviation degree value of the change in the number of microorganisms, and the ratio of the deviation degree value of the change in the number of microorganisms to the minimum value of the deviation value of the change in the number of microorganisms is calculated to obtain the deviation degree ratio of the number of microorganisms.

4. The multi-source coordinated radiation sterilization control method according to claim 1, characterized in that: The process of obtaining the sub-region with large irradiation energy value deviation is as follows: Obtain the monitoring time point corresponding to the generation of the uneven signal and mark it as the time point to be analyzed; At the time point to be analyzed, the irradiation energy value corresponding to each sub-area is obtained, the irradiation energy value of each sub-area is summed and averaged to obtain the irradiation energy mean value, the irradiation energy value corresponding to each sub-area is calculated to be different from the irradiation energy mean value, the absolute value of the difference is taken to obtain the irradiation energy deviation value; comparing the irradiation energy deviation values ​​with the irradiation energy deviation thresholds respectively; If the irradiation energy deviation value is greater than the irradiation energy deviation threshold, a irradiation energy deviation large signal is generated; The sub-region corresponding to the large radiation energy deviation signal is obtained, and the sub-region with the large radiation energy value deviation is marked.

5. The multi-source coordinated radiation sterilization control method according to claim 1, characterized in that: The process of obtaining the relevant judgment value is as follows: The overlapping sub-regions of the sterilization uneven sub-region and the irradiation energy large deviation sub-region are analyzed to obtain the overlapping characterization value; Analyze the coefficient of deviation and obtain the variance value of the coefficient of deviation; The relevant judgment value is calculated based on the variance value of the coincidence characterization value and the deviation coefficient.

6. A multi-source coordinated radiation sterilization control method according to claim 5, characterized in that: The process of obtaining the overlap characterization value is as follows: Obtain unstable sub-regions, mark them as sterilization uneven sub-regions, obtain the number of sterilization uneven sub-regions, and obtain sub-regions with large irradiation energy value deviations and their number of values; Extract the overlapping sub-regions of the sterilization uneven sub-region and the sub-region with large irradiation energy deviation, and obtain the numerical values ​​of the overlapping sub-regions; The overlap characterization value is calculated based on the numerical values ​​of the sterilization uneven sub-areas, the numerical values ​​of the sub-areas with large irradiation energy value deviations, and the numerical values ​​of the overlap sub-areas.

7. A multi-source coordinated radiation sterilization control method according to claim 5, characterized in that: The process of obtaining the variance value of the deviation coefficient is as follows: At the time point to be analyzed, the deviation value of the microbial quantity change value of the overlapping sub-region is ratioed to the mean value of the microbial quantity change to obtain a first deviation ratio, and the deviation value of the irradiation energy of the overlapping sub-region is ratioed to the mean value of the irradiation energy to obtain a second deviation ratio; At the time point to be analyzed, the first deviation ratio and the second deviation ratio of the overlapping sub-region are processed by ratio to obtain a deviation coefficient; At the time point to be analyzed, the deviation coefficients corresponding to all overlapping sub-regions are substituted into the variance formula to calculate the variance value of the deviation coefficient.

8. The multi-source coordinated radiation sterilization control method according to claim 1, characterized in that: The process of regulating the irradiation energy value is as follows: Based on the generated large correlation signal, the irradiation energy deviation value corresponding to the sub-region with large irradiation energy value deviation is obtained; Substitute into the formula , the irradiation power adjustment value PT is calculated, where FC represents the irradiation energy deviation value, and TC represents the difference between two adjacent monitoring time points; Obtain the irradiation power value corresponding to the time point to be analyzed, and compare the irradiation energy value corresponding to the sub-region with the large irradiation energy value deviation with the average irradiation energy value at the time point to be analyzed; If the irradiation energy value corresponding to the sub-region with large irradiation energy value deviation is less than the average irradiation energy at the time point to be analyzed, the irradiation power value corresponding to the time point to be analyzed and the irradiation power adjustment value are calculated as a difference to obtain the target irradiation power value; If the irradiation energy value corresponding to the sub-region with large irradiation energy value deviation is greater than the average irradiation energy at the time point to be analyzed, the irradiation power value corresponding to the time point to be analyzed is added to the irradiation power adjustment value to obtain the target irradiation power value; Compare the acquired target irradiation power value with the irradiation power threshold range; If the target irradiation power value is within the irradiation power threshold range, the irradiation power is adjusted to the target irradiation power value; If the target irradiation power value is not within the irradiation power threshold range, it is adjusted by other means.

9. A multi-source collaborative radiation sterilization control system, characterized in that: The system is used to execute the method described in any one of claims 1 to 8, and the system comprises: Sterilization data acquisition and processing module: obtains sterilization effect data, analyzes and processes it, and calculates the uniform characterization value of the sterilization effect; Sterilization effect judgment module: compare the uniformity characterization value with the uniformity characterization threshold, and if the uniformity characterization value is greater than the uniformity characterization threshold, generate an inhomogeneous signal; Sterilization irradiation data acquisition module: Based on the uneven signal, the irradiation energy value in the sterilization process is obtained, and analyzed and processed to determine the sub-area with large deviation of the irradiation energy value; Coincidence correlation judgment analysis module: obtains the sterilization uneven sub-area and the irradiation energy value large deviation sub-area, analyzes and processes them, outputs the correlation judgment value, compares the correlation judgment value with the correlation judgment threshold, and generates a large correlation signal if the correlation judgment value is greater than the correlation judgment threshold; Regulation and optimization module: Based on the generated large correlation signal, the irradiation energy value is regulated to perform sterilization control.

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