Multi-source collaborative irradiation sterilization control method and system

Abstract

The invention relates to the technical field of irradiation sterilization control, and particularly discloses a multi-source synergistic irradiation sterilization control method and system, and the method specifically comprises the following steps: 1, obtaining sterilization effect data, carrying out the analysis processing, and calculating a uniform characterization value of the sterilization effect; 2, comparing the uniform characterization value with a uniform characterization threshold value, and if the uniform characterization value is greater than the uniform characterization threshold value, generating a non-uniform signal; and 3, based on the non-uniform signal, obtaining an irradiation energy value in the sterilization process, carrying out analysis processing, and determining an irradiation energy value deviation large sub-region. Through deep analysis of the sterilization effect data, potential problems in the sterilization process can be identified, the sterilization effect of each sub-region can be accurately monitored and evaluated, nonuniformity in the sterilization process can be found and adjusted in time, technicians can make more scientific and reasonable decisions, the sterilization process is optimized, and the product quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of radiation sterilization control, and in particular to a multi-source coordinated radiation sterilization control method and system. Background Art

[0002] Cobalt 60-gamma irradiation sterilization is a sterilization technology that uses gamma rays produced by the radioactive isotope cobalt 60. Cobalt 60 is a radioactive isotope that can spontaneously emit gamma rays. Gamma rays have strong penetrating power and can penetrate a variety of materials, products and packaging, directly or indirectly destroying microorganisms, thereby achieving the effect of sterilization; Multi-source synergistic irradiation is an advanced radiation processing technology that combines multiple radiation sources and achieves irradiation treatment of materials through their synergistic effect. This technology has been widely used in many fields, such as medical treatment, food processing, material modification, etc. However, despite the many advantages of multi-source collaborative irradiation technology, uneven sterilization may still occur in actual applications. If it is not discovered in time, it will affect the sterilization effect. Traditional analysis methods often rely on sampling and testing of sterilized products, and evaluate the sterilization effect through microbial culture or fluorescence methods. However, this method has many limitations, such as long detection cycle, delayed results, and inability to monitor in real time. In addition, the results of sampling tests may also be affected by various factors, such as sample selection, accuracy of detection methods, etc., which may lead to deviations in analysis results. To more fully analyze sterilization heterogeneity, a more diversified approach is needed; In view of this, we proposed a multi-source collaborative irradiation sterilization control method and system. Summary of the invention

[0003] The object of the present invention is to provide a multi-source collaborative irradiation sterilization control method and system to solve the technical problems in the above background.

[0004] The purpose of the present invention can be achieved through the following technical solutions: In a first aspect, the present invention provides a multi-source collaborative radiation sterilization control method, which specifically comprises 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, 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.

[0005] As a further solution of the present invention: 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 is calculated based on the proportion of unstable numbers and the degree of deviation of the change in the number of microorganisms.

[0006] As a further solution of the present invention: the process of obtaining the unstable sub-region and the microorganism quantity change deviation value is: 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.

[0007] As a further solution of the present invention: the process of obtaining the unstable number ratio and the microorganism 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.

[0008] As a further solution of the present invention: 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.

[0009] As a further solution of the present invention: the process of obtaining the relevant judgment value is: 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.

[0010] As a further solution of the present invention: the process of obtaining the overlap characterization value is: 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.

[0011] As a further solution of the present invention: the process of obtaining the variance value of the deviation coefficient is: 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.

[0012] As a further solution of the present invention: the process of regulating the irradiation energy value is: 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.

[0013] In a second aspect, the present invention provides a multi-source collaborative radiation sterilization control system, the system comprising: 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; Control and optimization module: Based on the generated large correlation signal, the irradiation energy value is regulated to perform sterilization control.

[0014] Beneficial effects of the present invention: The present invention obtains the sterilization effect data at each monitoring time point of the sterilization process, analyzes and processes the sterilization effect data, calculates the unstable number ratio and the microorganism quantity variation deviation ratio, and calculates the uniform characterization value based on the unstable number ratio and the microorganism quantity variation deviation ratio, and compares the uniform characterization value with the uniform characterization threshold. If the uniform characterization value is greater than the uniform characterization threshold, it means that the sterilization effect at the corresponding monitoring time point is uneven. Therefore, through in-depth analysis of the sterilization effect data, potential problems in the sterilization process can be identified, the sterilization effect of each sub-area can be accurately monitored and evaluated, and the unevenness in the sterilization process can be discovered and adjusted in time, which helps technicians make more scientific and reasonable decisions to optimize the sterilization process and improve product quality. The present invention obtains the irradiation energy value of each sub-region and the sub-region with large irradiation energy value deviation when generating an uneven signal, extracts the overlapping sub-region based on the sub-region with large irradiation energy value deviation and the sterilization uneven sub-region, calculates the overlapping characterization value and the deviation coefficient, calculates the variance value of the deviation coefficient of the overlapping sub-region through the deviation coefficient, and calculates the relevant judgment value based on the variance value of the overlapping characterization value and the deviation coefficient, compares the relevant judgment value with the relevant judgment threshold, and if the relevant judgment value is greater than the relevant judgment threshold, it is judged that the correlation is large, so that it can be judged through data analysis that the uneven sterilization effect is related to the uneven distribution of irradiation energy, and then timely optimization control can be carried out through the judgment result to improve the subsequent sterilization efficiency; The present invention provides an efficient, accurate and reliable method for optimizing and controlling the sterilization process. By deeply analyzing the data during the sterilization process, the method can timely discover and adjust the sterilization unevenness, and at the same time perform targeted regulation according to the uneven distribution of irradiation energy, thereby improving the sterilization efficiency and product quality in the subsequent time. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 It is a flowchart of a multi-source collaborative radiation sterilization control method of the present invention; Figure 2 It is a flowchart of a process of obtaining uniform characterization values ​​in a multi-source collaborative radiation sterilization control method of the present invention; Figure 3 The present invention is a block diagram of a multi-source collaborative radiation sterilization control system. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0018] See also Figure 1 and Figure 2 As shown, a multi-source collaborative irradiation sterilization control method according to an embodiment of the present invention comprises the following steps: Step 1: Obtain sterilization effect data, analyze and process it, and calculate the uniform characterization value of the sterilization effect; In some embodiments, the area to be sterilized is divided into several sub-areas, the monitoring period is predicted, and the monitoring period is divided into several monitoring time points, wherein the monitoring period is set by a person skilled in the art based on historical experience; 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; It should be noted that the method for obtaining the number of microorganisms is: using the luciferase-luciferin system, in the presence of ATP (adenosine triphosphate), luciferase catalyzes the reaction of luciferin with oxygen to produce fluorescence, and the ATP content is quantified by detecting the fluorescence intensity, and then the number of microorganisms is calculated. The main equipment is an ATP fluorescence detector, and this method has a fast detection speed; 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. The microbial quantity change deviation value is compared with the microbial quantity deviation threshold value, wherein the microbial quantity change deviation threshold value is a critical value used to determine the degree of deviation between the microbial quantity change value of the sub-region and the mean microbial quantity change value, and is summarized and set by those skilled in the art based on historical experimental data; If the microbial quantity change deviation value is less than or equal to the microbial quantity change deviation threshold, it means that the deviation between the microbial quantity change value of the sub-region and the mean microbial quantity change value is small, and a stable signal is generated, and the sub-region is marked as a stable sub-region; If the microbial population change deviation value is greater than the microbial population change deviation threshold, it means that the microbial population change value of the sub-region deviates greatly from the mean microbial population change value, and an unstable signal is generated, marking the sub-region as an unstable sub-region; 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; It should be explained that the meaning of the unstable number ratio is: the unstable number ratio is calculated by the unstable sub-region number ratio, where the unstable sub-region represents the sub-region where the deviation between the microbial number change value and the mean value of the microbial number change is large, that is, the larger the unstable number, the higher the degree of unevenness of the sterilization effect at the monitoring time point; Extract the maximum and minimum values ​​of the deviation values ​​of the microbial quantity change, perform difference calculation on the maximum and minimum values ​​of the microbial quantity change deviation values ​​to obtain the microbial quantity change deviation degree value, perform ratio calculation on the microbial quantity change deviation degree value and the minimum value of the microbial quantity change deviation value to obtain the microbial quantity change deviation degree ratio; It should be explained that the meaning of the microbial quantity change deviation ratio is as follows: the microbial quantity change deviation ratio is calculated from the maximum and minimum values ​​in the microbial quantity change deviation value, that is, the greater the difference between the maximum and minimum values ​​in the microbial quantity change deviation value, the greater the deviation degree of the microbial quantity change deviation value between the sub-areas corresponding to the maximum and minimum values, which means that at the monitoring time point, the degree of imbalance of the sterilization effect is higher; Substitute into the formula , the uniform characterization value JX is calculated, where BW represents the proportion of unstable numbers, ZF represents the deviation ratio of microbial quantity change, a1 and a2 are preset proportional coefficients, a1 is 2.58, and a2 is 1.74; Step 2: Compare the uniformity characterization value with the uniformity characterization threshold to evaluate the uniformity of the sterilization effect; In some embodiments, a uniform characterization value is obtained at each detection time point, and the uniform characterization value is compared with a uniform characterization threshold, wherein the uniform characterization threshold is a critical value used to judge the uniformity of the sterilization effect, and is summarized and set by a person skilled in the art based on historical multiple experimental data; If the uniformity characterization value is less than or equal to the uniformity characterization threshold, it means that the sterilization effect corresponding to the monitoring time point is relatively uniform, and a uniform signal is generated; If the uniformity characterization value is greater than the uniformity characterization threshold, it means that the sterilization effect corresponding to the monitoring time point is uneven, and an uneven signal is generated; 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 of the sterilization process, and analyzing and processing the sterilization effect data, the proportion of unstable number and the deviation degree ratio of the change in the number of microorganisms are calculated, and the uniform characterization value is calculated based on the proportion of unstable number and the deviation degree ratio of the change in the number of microorganisms, and the uniform characterization value is compared with the uniform characterization threshold. If the uniform characterization value is greater than the uniform characterization threshold, it means that the sterilization effect at the corresponding monitoring time point is uneven. Therefore, through in-depth analysis of the sterilization effect data, potential problems in the sterilization process can be identified, the sterilization effect of each sub-area can be accurately monitored and evaluated, and the unevenness of the sterilization process can be discovered and adjusted in time, which helps technicians make more scientific and reasonable decisions to optimize the sterilization process and improve product quality. Example 2

[0019] Based on Example 1, the area with lower irradiation energy value may not achieve effective sterilization effect, while the area with too high irradiation energy value may be over-sterilized, or even cause damage to the product. Therefore, this example analyzes the irradiation energy value to determine whether the uneven sterilization effect is related to the uneven distribution of irradiation energy value. The multi-source collaborative irradiation sterilization control method described in the embodiment of the present invention further includes the following steps: Step 3: Based on the uniform signal, the irradiation energy value in the sterilization process is obtained, and analyzed and processed to obtain the sub-region with large irradiation energy value deviation; In some embodiments, a monitoring time point corresponding to the generation of an uneven signal is obtained and marked as a 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; The irradiation energy deviation value is compared with the irradiation energy deviation threshold value, wherein the irradiation energy deviation threshold value is a critical value used to judge the degree of deviation between the irradiation energy value of the sub-area and the irradiation energy mean value, and the irradiation energy deviation threshold value is set by a technician in this field based on a summary of multiple historical experimental data; If the irradiation energy deviation value is less than or equal to the irradiation energy deviation threshold, it means that the deviation between the irradiation energy value of the sub-region and the irradiation energy mean value is small, and a small irradiation energy deviation signal is generated; If the irradiation energy deviation value is greater than the irradiation energy deviation threshold, it means that the irradiation energy value of the sub-region deviates greatly from the irradiation energy mean value, and a large irradiation energy deviation signal is generated; Obtain the sub-region corresponding to the generated radiation energy deviation large signal, and mark the sub-region with the large radiation energy value deviation; Step 4: Obtain the sterilization uneven sub-region and the irradiation energy value large deviation sub-region, calculate the relevant judgment value, and judge the degree of correlation between the sterilization uneven sub-region and the irradiation energy value large deviation sub-region; In some embodiments, an unstable sub-region is obtained, marked as a sterilization non-uniform sub-region, a number value of the sterilization non-uniform sub-region is obtained, and a sub-region with a large irradiation energy value deviation and its number value are obtained; 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; Substitute into the formula , the overlap characterization value CH is calculated, where Q1 represents the number of sterilization uneven sub-regions, Q2 represents the sub-region with large irradiation energy value deviation, and Q3 represents the number of overlap sub-regions; It should be explained that the meaning reflected by the overlap characterization value is: the overlap characterization value is calculated by the proportion of the overlap sub-region in the sterilization uneven sub-region and the proportion of the overlap sub-region in the sub-region with large irradiation energy value deviation, that is, the greater the proportion of the overlap sub-region in the sterilization uneven sub-region, the higher the overlap degree, that is, the greater the proportion of the overlap sub-region in the sub-region with large irradiation energy value deviation, the higher the overlap degree; 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; Substitute into the formula , the relevant judgment value PD is calculated, where CH represents the coincidence characterization value, FC represents the variance value of the deviation coefficient, s1 and s2 are weight coefficients, the value of s1 is 0.57, and the value of s2 is 0.43; It needs to be explained that the meaning reflected by the correlation judgment value is: the correlation judgment value is calculated by the variance value of the overlap representation value and the deviation coefficient, wherein the larger the overlap representation value is, the greater the overlap degree between the sterilization uneven sub-area and the irradiation energy value large deviation sub-area is, the greater the correlation is, the smaller the variance value of the deviation coefficient is, the smaller the volatility of the deviation coefficient is, and the greater the correlation is; Compare the relevant judgment value with the relevant judgment threshold, wherein the relevant judgment threshold is summarized and set by a person skilled in the art based on historical experimental data; If the correlation judgment value is less than or equal to the correlation judgment threshold, it means that the correlation between the uneven sterilization effect and the uneven distribution of irradiation energy value is small, and a small correlation signal is generated; If the correlation judgment value is greater than the correlation judgment threshold, it means that the uneven sterilization effect is highly correlated with the uneven distribution of irradiation energy values, generating a large correlation signal; The technical solution of the embodiment of the present invention is mainly as follows: when generating an uneven signal, the irradiation energy value of each sub-region is obtained to obtain the sub-region with a large deviation in the irradiation energy value, and the overlapping sub-region is extracted based on the sub-region with a large deviation in the irradiation energy value and the sterilization uneven sub-region, and the overlapping characterization value and the deviation coefficient are calculated, and the variance value of the deviation coefficient of the overlapping sub-region is calculated by the deviation coefficient, and the relevant judgment value is calculated based on the variance value of the overlapping characterization value and the deviation coefficient, and the relevant judgment value is compared with the relevant judgment threshold. If the relevant judgment value is greater than the relevant judgment threshold, it is judged to be highly correlated, so that through data analysis, it can be judged that the uneven sterilization effect is related to the uneven distribution of irradiation energy, and then the judgment result can be used to timely optimize and control to improve the sterilization efficiency. Example 3

[0020] On the basis of Example 1 and Example 2, a multi-source collaborative irradiation sterilization control method described in an embodiment of the present invention further includes the following steps: Step 5: Based on the generated large correlation signal, the irradiation energy value is regulated; In some embodiments, 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, wherein the irradiation power threshold range is summarized and set by technicians in this field based on equipment models and experience; 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, including but not limited to increasing or decreasing the number of irradiation equipment, changing the irradiation distance or direction; The technical solution of the embodiment of the present invention is mainly: by calculating the control coefficient, the irradiation energy value is regulated. This regulation is based on the large signal of the correlation between the sterilization effect and the uneven distribution of irradiation energy. Therefore, it can more accurately adjust the problem area, thereby improving the uniformity and efficiency of sterilization. Example 4

[0021] Based on Example 1 and Example 2, please refer to Figure 3 As shown, a multi-source collaborative radiation sterilization control system according to an embodiment of the present invention specifically includes: 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: compares the uniformity characterization value with the uniformity characterization threshold to evaluate the uniformity of the sterilization effect; Sterilization irradiation data acquisition module: based on the generation of uneven signals, the irradiation energy value in the sterilization process is obtained, and the irradiation energy value deviation sub-region is obtained by analysis and processing; Overlapping association judgment analysis module: obtain the sterilization uneven sub-region and the irradiation energy value large deviation sub-region, calculate the relevant judgment value, and judge the degree of correlation between the sterilization uneven sub-region and the irradiation energy value large deviation sub-region; Control and optimization module: Based on the generated large correlation signal, the irradiation energy value is controlled.

[0022] The size of the above threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the base number set by the technical personnel in this field for each group of sample data; for example: in the actual process, there are many groups of unstable number ratios and microbial number change deviation increase ratios. Many groups of unstable number ratios and microbial number change deviation increase ratios are processed to obtain the uniform characterization values ​​of the corresponding groups. The staff evaluates the uniformity of sterilization based on the uniform characterization values ​​of so many groups, thereby obtaining a corresponding relationship between a uniform characterization value and the uniformity of sterilization, and then derives and divides the uniform characterization threshold according to the uniformity of sterilization, thereby obtaining a uniform characterization threshold, and compares the obtained uniform characterization value with the uniform characterization threshold, that is, completes the identification of the uniformity of sterilization corresponding to the uniform characterization value.

[0023] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage 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; 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 uniform characterization value is as follows: 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 is calculated based on the proportion of unstable numbers and the degree of deviation of the change in the number of microorganisms.

3. A multi-source collaborative irradiation sterilization control method according to claim 2, 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.

4. A multi-source collaborative radiation sterilization control method according to claim 3, 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.

5. 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.

6. 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.

7. A multi-source coordinated radiation sterilization control method according to claim 6, 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.

8. The multi-source coordinated radiation sterilization control method according to claim 6, 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.

9. 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.

10. 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 9, 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; Control and optimization module: Based on the generated large correlation signal, the irradiation energy value is regulated to perform sterilization control.

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