High-temperature dynamic sterilization method and system

Abstract

The invention innovatively provides a high-temperature dynamic sterilization method which comprises the following steps: a sterilization data acquisition step: inputting information of an article to be sterilized, generating a sterilization demand according to the article information, and indexing in a sterilization database to acquire corresponding sterilization parameters; an anomaly analysis step: acquiring a surface image of the to-be-sterilized object collected by the common visual camera as a defect analysis image, and judging whether an abnormal area exists on the surface of the to-be-sterilized object through an image analysis strategy; an anomaly analysis step: when the anomaly type is a stain type, acquiring a surface image of a to-be-sterilized object by using a fluorescence camera as a fluorescence image, positioning and splicing the anomaly feature region into the fluorescence image, and generating an influence value according to a fluorescence analysis strategy; and a sterilization calculation step: acquiring a fluorescence electric signal, converting the fluorescence electric signal into a sterilization value, acquiring a sterilization rate according to the sterilization value and the influence value through a sterilization calculation formula, and generating an adjusting signal if the sterilization rate is smaller than a sterilization threshold value.

Description

Technical Field

[0001] The present invention relates to the technical field of high-temperature sterilization, and more particularly to a high-temperature dynamic sterilization method and system. Background Art

[0002] After the use of medical devices is completed, in order to reuse the medical devices, they are sterilized by high-temperature sterilization to remove bacteria on the surface of the medical devices and avoid infection during the use of the medical devices. Currently, sterilizers are mainly used to sterilize medical devices. During the sterilization process, the sterilization status cannot be detected in real time. Currently, detection devices are mainly installed in the sterilizer to monitor the sterilization status of the medical devices in real time. However, during the detection process, stains and defects on the edges of the medical devices will affect the detection results, and the sterilization status cannot be accurately judged. Summary of the invention

[0003] In view of the deficiencies in the prior art, the object of the present invention is to provide a high-temperature dynamic sterilization method and system to overcome the above-mentioned defects in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A high temperature dynamic sterilization method, comprising

[0006] Sterilization data acquisition step, the surface of the object to be sterilized is coated with a fluorescent agent, and the information of the object to be sterilized is input, the information of the object to be sterilized includes the type of object, the number of objects, the target usage scenario and the usage scenario, and the sterilization requirements are generated according to the object information, and the corresponding sterilization parameters are obtained by indexing in the sterilization database;

[0007] The abnormality analysis step obtains the surface image of the object to be sterilized collected by the ordinary visual camera as the defect analysis image and uses the image analysis strategy to determine whether there is an abnormal area on the surface of the object to be sterilized. If there is an abnormal area, the defect analysis step is entered. If there is no abnormal area, an impact value is generated, the impact value is zero, and the sterilization calculation step is entered;

[0008] Defect analysis step, when there is an abnormal area on the surface of the object to be sterilized, obtain several frames of continuous surface images of the object to be sterilized during the sterilization process, analyze the size change and position change of the abnormal area through the abnormal analysis strategy, judge the abnormal type, and extract the abnormal feature area, the abnormal type includes defect type and stain type, when the abnormal type is the stain type, enter the abnormal analysis step, when the abnormal type is the defect type, generate an impact value, and the impact value is zero, and enter the sterilization calculation step;

[0009] Abnormal analysis step: when the abnormal type is a stain type, a fluorescent camera is used to obtain a surface image of the object to be sterilized as a fluorescent image, the abnormal feature area is located and spliced ​​into the fluorescent image, and an impact value is generated according to a fluorescent analysis strategy;

[0010] A sterilization calculation step is used to obtain a fluorescent electrical signal and convert the fluorescent electrical signal into a sterilization value, obtain a sterilization rate by using the sterilization value and the influence value through a sterilization calculation formula, and obtain a sterilization threshold value of a corresponding time in a sterilization data table, corresponding to the sterilization rate and the sterilization threshold value, and if the sterilization rate is less than the sterilization threshold value, generate an adjustment signal;

[0011] The dynamic adjustment step obtains the adjustment signal, and adjusts the sterilization parameters according to the adjustment signal, and continues the above steps until the sterilization is completed.

[0012] Preferably, the abnormal analysis strategy obtains abnormal areas of several frames of surface images of the object to be sterilized, obtains position information and shape information of the abnormal feature areas, and determines changes in the position information and shape information within several frames. If there is no change, it is a defect type, and if there is a change, it is a stain type.

[0013] Preferably, the abnormality analysis strategy also includes a judgment and analysis step. When the abnormality type is a stain type, the judgment and analysis step is entered, and the change difference of the abnormal feature area before and after the change of the abnormal feature area of ​​several frames of surface images of the object to be sterilized is judged, and the change difference includes color change, size change and position change. The change difference is obtained by indexing the change database to obtain the corresponding stain type, and the stain types include blood stains, water stains, etc.

[0014] Preferably, the fluorescence analysis strategy includes obtaining the type of stain, and obtaining the change value of the corresponding stain type through a change database, and extracting the abnormal feature area image, performing grayscale processing on the abnormal feature area image through the change value, and after the fluorescence is grayscale processed, the abnormal feature area is located and spliced ​​into the fluorescence image, the fluorescence overlapping part of the abnormal feature area and the fluorescence image area is determined, and the overlapping area and the corresponding grayscale value are obtained, and the impact value is obtained through the grayscale values ​​of several groups of overlapping areas.

[0015] Preferably, the determination as to whether the stain completely covers the luminous area verifies the reliability of the impact value.

[0016] Preferably, the sterilization calculation formula is:

[0017]

[0018] Among them, A is the sterilization rate, S is the intensity of the fluorescent signal, I indicates the impact value, C is the cell type, and k is a constant.

[0019] Preferably, a sterilization verification step, the sterilization verification step includes obtaining physical test results by a physical test method, obtaining biological test results by a biological test method, and obtaining a sterilization rate as a chemical test result, and prioritizing the physical test results, chemical test results, and biological test results by a priority sorting strategy, and analyzing the test results with the highest priority, if the test is completed, the subsequent test results are tested in sequence according to the priority, if the test is not completed, then continue sterilization;

[0020] The priority sorting strategy is to obtain cell types, and different cell types correspond to different reliability numbers of test results. The physical test results, chemical test results and biological test results are sorted from low to high according to the reliability numbers corresponding to the cell types.

[0021] Preferably, the physical detection step includes obtaining the sterilization time and corresponding sterilization parameters, and calculating and obtaining the physical detection result according to the sterilization time and the sterilization parameters.

[0022] Preferably, the biological detection step is to place a biological sample in the sterilizer, wherein the biological sample is taken from an area with the highest bacterial content in the object to be sterilized, and during the sterilization process, the activity of the biological sample is detected and used as the biological detection result.

[0023] A high temperature dynamic sterilization system, comprising

[0024] Sterilization data acquisition module, the surface of the object to be sterilized is coated with a fluorescent agent, and the information of the object to be sterilized is input, the information of the object to be sterilized includes the type of object, the number of objects, the target usage scenario and the usage scenario, and the sterilization requirements are generated according to the object information, and the corresponding sterilization parameters are obtained by indexing in the sterilization database;

[0025] The abnormality analysis module obtains the surface image of the object to be sterilized collected by the ordinary visual camera as the defect analysis image and uses the image analysis strategy to determine whether there is an abnormal area on the surface of the object to be sterilized. If there is an abnormal area, it enters the defect analysis step. If there is no abnormal area, it generates an impact value, which is zero, and enters the sterilization calculation step;

[0026] The defect analysis module, when there is an abnormal area on the surface of the object to be sterilized, obtains several frames of continuous surface images of the object to be sterilized during the sterilization process, determines the abnormal type by analyzing the size change and position change of the abnormal area, and extracts the abnormal feature area, the abnormal type includes the defect type and the stain type, when the abnormal type is the stain type, enters the abnormal analysis step, when the abnormal type is the defect type, generates an impact value, and the impact value is zero, and enters the sterilization calculation step;

[0027] The abnormality analysis module, when the abnormality type is a stain type, uses a fluorescent camera to obtain a surface image of the object to be sterilized as a fluorescent image, locates and splices the abnormal feature area into the fluorescent image, and generates an impact value according to a fluorescent analysis strategy;

[0028] A sterilization calculation module is used to obtain a fluorescent electrical signal and convert the fluorescent electrical signal into a sterilization value, obtain a sterilization rate through a sterilization calculation formula using the sterilization value and the influence value, and obtain a sterilization threshold value of a corresponding time in a sterilization data table, corresponding to the sterilization rate and the sterilization threshold value, and generate an adjustment signal if the sterilization rate is less than the sterilization threshold value;

[0029] The dynamic adjustment module obtains the adjustment signal, and adjusts the sterilization parameters according to the adjustment signal, and continues the above steps until the sterilization is completed.

[0030] The beneficial effects of the present invention are as follows: during the high-temperature sterilization process, the sterilization condition is detected in real time, and the abnormalities on the surface of the object to be detected are analyzed to eliminate the influence of stains and defects on the sterilization condition analysis. At the same time, the sterilization condition of the object to be detected is detected in real time, and the sterilization parameters in the sterilizer are adjusted in real time according to the sterilization condition to improve the sterilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0032] 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.

[0033] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0035] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings:

[0036] A high temperature dynamic sterilization method, comprising

[0037] An ordinary visual camera and a fluorescent camera are installed in the sterilizer. The two cameras have the same field of view and focal length, which is convenient for capturing the same scene. A specific light source is provided for the fluorescent camera to ensure that the light source does not interfere with the shooting of ordinary images. A light hood can be used to reduce interference between light sources and ensure the intensity and stability of the light source to obtain clear images. According to the needs of the fluorescent camera and the ordinary visual camera, the exposure time, gain, etc. of the two cameras are adjusted respectively, and the two cameras are controlled to shoot at the same time.

[0038] Sterilization data acquisition step: the surface of the object to be sterilized is coated with a fluorescent agent, and the information of the items to be sterilized is input, including the type of items, the number of items, the target usage scenario and the used scenario. The sterilization requirement is generated based on the item information, and the corresponding sterilization parameters are obtained by indexing in the sterilization database; a fluorescent agent is coated on the surface of the object to be sterilized. The selection of the fluorescent agent is based on the material and sterilization requirements of the items to be sterilized to ensure that it can both effectively mark and maintain stability during the sterilization process. The information of the items to be sterilized is input to determine the sterilization requirements. The contamination degree and storage adjustment of the items can be preliminarily obtained through the used scenarios, whether they have been sterilized, etc. The required sterilization requirement level is determined through the target usage scenario, and the sterilization requirement is generated. The sterilization parameters include sterilization temperature, time, pressure and other parameters. These parameters serve as the initial settings for the sterilization process;

[0039] Abnormal analysis step, obtain the surface image of the object to be sterilized collected by the ordinary visual camera as the defect analysis image and use the image analysis strategy to determine whether there is an abnormal area on the surface of the object to be sterilized. If there is an abnormal area, enter the defect analysis step. If there is no abnormal area, generate an impact value, the impact value is zero, and enter the sterilization calculation step; by applying image analysis strategies (such as edge detection, texture analysis, color recognition, etc.), the system can determine whether there is an abnormal area on the surface of the object to be sterilized. The abnormal area may be manifested as color change, irregular shape, abnormal texture, etc.; if the system detects an abnormal area, it will enter the defect analysis step; if no abnormal area is detected, a result with an impact value of zero is generated, and jump directly to the sterilization calculation step. The impact value is used for the subsequent calculation of the sterilization rate. The zero value indicates that there is no abnormality on the surface of the object to be sterilized that significantly affects the sterilization effect;

[0040] Defect analysis step: when there is an abnormal area on the surface of the object to be sterilized, obtain several frames of continuous surface images of the object to be sterilized during the sterilization process, analyze the size change and position change of the abnormal area through the abnormal analysis strategy, judge the abnormal type, and extract the abnormal feature area. The abnormal type includes defect type and stain type. When the abnormal type is stain type, enter the abnormal analysis step. When the abnormal type is defect type, generate an impact value, and the impact value is zero, and enter the sterilization calculation step; in the defect analysis step, the system obtains several frames of continuous surface images of the object to be sterilized during the sterilization process. These images are used Analyze the size and position changes of the abnormal area. By comparing images at different time points, the system can determine the type of abnormality (such as defect type or stain type); defect types may include scratches, cracks, dents, etc., while stain types may include grease, dust, moisture, blood stains, etc., and further analyze by extracting the abnormal feature area (that is, the most obvious part of the abnormality). If the abnormality type is a stain type, the system will enter the abnormality analysis step; if it is a defect type, a result with an impact value of zero is generated (because defects are generally not regarded as abnormalities that can be removed by the sterilization process), and enter the sterilization calculation step;

[0041] Abnormal analysis step, when the abnormal type is a stain type, a fluorescent camera is used to obtain an image of the surface of the object to be sterilized as a fluorescent image, the abnormal feature area is located and spliced ​​into the fluorescent image, and an impact value is generated according to the fluorescence analysis strategy; when the abnormal type is a stain type, the system uses a fluorescent camera to obtain an image of the surface of the object to be sterilized; the fluorescent camera can capture the distribution of the fluorescent agent in the stain area, thereby providing more detailed stain information; the abnormal feature area is located and spliced ​​into the fluorescent image, so as to more accurately analyze the impact of the stain, based on the fluorescent image and the fluorescence analysis strategy (such as fluorescence intensity analysis, fluorescence distribution pattern recognition, etc.), and an impact value is generated; this impact value reflects the possible impact of the stain on the sterilization effect, and the higher the impact value, the greater the potential impact of the stain on the sterilization effect;

[0042] The sterilization calculation step is used to obtain the fluorescent electrical signal and convert it into a sterilization value. The sterilization value and the influence value are used to obtain the sterilization rate through the sterilization calculation formula, and the sterilization threshold corresponding to the time is obtained in the sterilization data table, the corresponding sterilization rate and the sterilization threshold. If the sterilization rate is less than the sterilization threshold, an adjustment signal is generated; in this step, the system obtains the fluorescent electrical signal. These signals come from the excitation and emission process of the fluorescent agent during the sterilization process. The system converts the fluorescent electrical signal into a sterilization value, which usually involves the measurement and analysis of the signal intensity, frequency and duration; then, the system substitutes the sterilization value and the influence value into the sterilization calculation formula to calculate the sterilization rate. The sterilization rate is an indicator to measure the sterilization effect. At the same time, the system obtains the sterilization threshold corresponding to the time in the sterilization data table. This threshold is set based on historical data and industry standards, and is used to determine whether the current sterilization process has achieved the expected sterilization effect; if the sterilization rate is less than the sterilization threshold, it means that the sterilization effect is not ideal, and the system will generate an adjustment signal. This signal will be used to guide the subsequent dynamic adjustment steps;

[0043] Dynamic adjustment step, obtain the adjustment signal, and adjust the sterilization parameters according to the adjustment signal, and continue the above steps until the sterilization is completed; in this step, the system obtains the adjustment signal and adjusts the sterilization parameters according to the parameters indicated in the signal. These parameters may include sterilization temperature, time, pressure, etc. The adjusted parameters will be applied to the subsequent sterilization process to improve the sterilization effect; the system will continue the above steps (starting from the abnormal analysis step) until the sterilization rate reaches or exceeds the sterilization threshold, that is, sterilization is completed. In this process, the system may need to be adjusted and optimized multiple times according to the actual situation to ensure that the final sterilization effect meets expectations.

[0044] The abnormal analysis strategy obtains several frames of abnormal areas of the surface images of the objects to be sterilized, and obtains the position information and shape information of the abnormal feature areas, and determines the changes in the position information and shape information in several frames. If there is no change, it is a defect type, if there is a change, it is a stain type; the abnormal areas in the image are identified through image processing algorithms (edge ​​detection, threshold segmentation, etc.), and the position information and shape information of each abnormal area in the image are recorded, including position coordinates, shape information such as area, perimeter, aspect ratio, etc.; the abnormal areas in several frames of images acquired continuously are compared to check whether the position information and shape information of the abnormal areas have changed. If the position is stable and the shape has not changed, it is judged as a defect; if the position moves or deforms and the shape changes, it is judged as a stain.

[0045] The abnormality analysis strategy also includes a judgment and analysis step. When the abnormality type is a stain type, the judgment and analysis step is entered. The change difference of the abnormal feature area before and after the abnormal feature area of ​​several frames of the surface image of the object to be sterilized is judged. The change difference includes color change, size change and position change. The change difference is obtained by indexing the change database to obtain the corresponding stain type, which includes blood stains, water stains, etc.; when the abnormality type is stain, the color change of the abnormal feature area in multiple frames of images is compared. The color of the stain changes with the sterilization process, and the change frequency and position change frequency of the feature area are calculated; there is a database containing various stain types and corresponding feature changes. The detected change difference is matched with the information in the database to obtain the most matching stain type. Based on the result of the data index, the type of stain is determined, and the feasibility of the configuration is calculated to judge the accuracy of the evaluation.

[0046] The fluorescence analysis strategy includes obtaining the type of stain, and obtaining the change value of the corresponding stain type through the change database, and extracting the abnormal feature area image, graying the abnormal feature area image through the change value, and after the fluorescence is grayed, locating and splicing the abnormal feature area into the fluorescence image, judging the fluorescence overlapping part of the abnormal feature area and the fluorescence image area, and obtaining the overlapping area and the corresponding gray value, and obtaining the influence value through the gray value of several groups of overlapping areas; separating the abnormal feature area containing the stain from the image, graying the abnormal feature area image according to the change value obtained in the database, locating and splicing the abnormal feature image after graying into the fluorescence image, and marking the position of the abnormal feature area in the spliced ​​image, judging the overlapping part of the abnormal feature area and the fluorescence through threshold separation, and determining the precise boundary of the overlapping part, extracting the gray value of the overlapping area from the spliced ​​image, and calculating the influence value through the gray value of multiple groups of overlapping areas combined with the stain type, the influence value reflects the influence of the stain on the fluorescence intensity, and judging the influence of the stain on the fluorescence image according to the size of the influence value.

[0047] The sterilization calculation formula is:

[0048]

[0049] Among them, A is the sterilization rate, S is the intensity of the fluorescent signal, I indicates the impact value, C is the cell type, and k is a constant.

[0050] Sterilization verification step, the sterilization verification step includes obtaining physical test results through physical test methods, obtaining biological test results through biological test methods, and obtaining sterilization rate as chemical test results, and prioritizing the physical test results, chemical test results, and biological test results through priority sorting strategies, and analyzing the test results with the highest priority. If the test is completed, the subsequent test results are tested in sequence according to the priority. If the test is not completed, sterilization continues;

[0051] Carry out sterilization operation according to the predetermined mold parameters, test the sterilization results by physical testing methods, biological testing methods and chemical testing methods respectively, and analyze the test results with the highest priority by sorting by priority. If the result shows that the sterilization process is unqualified, there is no need to continue to analyze other test results, and the sterilization process is automatically determined to have failed. If the test result with the highest priority shows that the sterilization is qualified, analyze the subsequent test results in order of priority, and judge whether the sterilization is qualified based on a comprehensive analysis of all the test results;

[0052] The priority sorting strategy is to obtain cell types, and different cell types correspond to different reliability numbers of test results. According to the reliability numbers corresponding to the cell types, the physical test results, chemical test results, and biological test results are sorted from low to high; before priority sorting, the cell types related to sterilization verification are determined, and a reliability number is assigned to the reliability of the sterilization verification results according to the cell types. The reliability number reflects the inventory capacity of different cell types during the sterilization process and the sensitivity of the detection method. According to the reliability numbers corresponding to the cell types, the physical test results, chemical test results, and biological test results are sorted from low to high. Test results with lower reliability numbers have lower priorities, while test results with higher reliability numbers have higher priorities.

[0053] The physical detection step includes obtaining the sterilization time and the corresponding sterilization parameters, and calculating and obtaining the physical detection results according to the sterilization time and the sterilization parameters.

[0054] The biological detection step is to set a biological sample in the sterilizer, the biological sample is taken from the area with the highest bacterial content of the sterilized object, and during the sterilization process, the activity of the biological sample is detected and used as the biological detection result.

[0055] A high temperature dynamic sterilization system, comprising

[0056] Sterilization data acquisition module: the surface of the object to be sterilized is coated with a fluorescent agent, and the information of the items to be sterilized is input, including the type of items, the number of items, the target usage scenario and the usage scenario, and the sterilization requirements are generated according to the item information, and the corresponding sterilization parameters are obtained by indexing in the sterilization database;

[0057] The abnormality analysis module obtains the surface image of the object to be sterilized collected by the ordinary visual camera as the defect analysis image and uses the image analysis strategy to determine whether there is an abnormal area on the surface of the object to be sterilized. If there is an abnormal area, it enters the defect analysis step. If there is no abnormal area, it generates an impact value, which is zero, and enters the sterilization calculation step;

[0058] Defect analysis module, when there is an abnormal area on the surface of the object to be sterilized, obtains several frames of continuous surface images of the object to be sterilized during the sterilization process, determines the abnormal type by analyzing the size change and position change of the abnormal area, and extracts the abnormal feature area. The abnormal type includes defect type and stain type. When the abnormal type is the stain type, enter the abnormal analysis step. When the abnormal type is the defect type, generate an impact value, and the impact value is zero, and enter the sterilization calculation step;

[0059] The abnormality analysis module, when the abnormality type is a stain type, uses a fluorescent camera to obtain the surface image of the object to be sterilized as a fluorescent image, locates and splices the abnormal feature area into the fluorescent image, and generates an impact value according to the fluorescence analysis strategy;

[0060] A sterilization calculation module is used to obtain fluorescent electrical signals and convert the fluorescent electrical signals into sterilization values, obtain the sterilization rate through the sterilization calculation formula using the sterilization value and the impact value, and obtain the sterilization threshold of the corresponding time, the corresponding sterilization rate and the sterilization threshold in the sterilization data table. If the sterilization rate is less than the sterilization threshold, an adjustment signal is generated;

[0061] The dynamic adjustment module obtains the adjustment signal and adjusts the sterilization parameters according to the adjustment signal, and continues the above steps until the sterilization is completed.

[0062] The above are only preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A high temperature dynamic sterilization method, characterized in that: include Sterilization data acquisition step, the surface of the object to be sterilized is coated with a fluorescent agent, and the information of the object to be sterilized is input, the information of the object to be sterilized includes the type of object, the number of objects, the target usage scenario and the usage scenario, and the sterilization requirements are generated according to the object information, and the corresponding sterilization parameters are obtained by indexing in the sterilization database; The abnormality analysis step obtains the surface image of the object to be sterilized collected by the ordinary visual camera as the defect analysis image and uses the image analysis strategy to determine whether there is an abnormal area on the surface of the object to be sterilized. If there is an abnormal area, the defect analysis step is entered. If there is no abnormal area, an impact value is generated, the impact value is zero, and the sterilization calculation step is entered; Defect analysis step, when there is an abnormal area on the surface of the object to be sterilized, obtain several frames of continuous surface images of the object to be sterilized during the sterilization process, analyze the size change and position change of the abnormal area through the abnormal analysis strategy, judge the abnormal type, and extract the abnormal feature area, the abnormal type includes defect type and stain type, when the abnormal type is the stain type, enter the abnormal analysis step, when the abnormal type is the defect type, generate an impact value, and the impact value is zero, and enter the sterilization calculation step; Abnormal analysis step: when the abnormal type is a stain type, a fluorescent camera is used to obtain a surface image of the object to be sterilized as a fluorescent image, the abnormal feature area is located and spliced ​​into the fluorescent image, and an impact value is generated according to a fluorescent analysis strategy; A sterilization calculation step is used to obtain a fluorescent electrical signal and convert the fluorescent electrical signal into a sterilization value, obtain a sterilization rate by using the sterilization value and the influence value through a sterilization calculation formula, and obtain a sterilization threshold value of a corresponding time in a sterilization data table, corresponding to the sterilization rate and the sterilization threshold value, and if the sterilization rate is less than the sterilization threshold value, generate an adjustment signal; The dynamic adjustment step obtains the adjustment signal, and adjusts the sterilization parameters according to the adjustment signal, and continues the above steps until the sterilization is completed.

2. A high temperature dynamic sterilization method according to claim 1, characterized in that: The abnormal analysis strategy obtains abnormal areas of several frames of surface images of the object to be sterilized, obtains position information and shape information of the abnormal feature areas, and determines the changes in the position information and shape information in several frames. If there is no change, it is a defect type, and if there is a change, it is a stain type.

3. A high temperature dynamic sterilization method according to claim 2, characterized in that: The abnormality analysis strategy also includes a judgment and analysis step. When the abnormality type is a stain type, the judgment and analysis step is entered. The change difference of the abnormal feature area before and after the abnormal feature area of ​​several frames of surface images of the object to be sterilized is judged, and the change difference includes color change, size change and position change. The change difference is obtained by indexing the change database to obtain the corresponding stain type, and the stain type includes blood stains, water stains, etc.

4. A high temperature dynamic sterilization method according to claim 1, characterized in that: The fluorescence analysis strategy includes obtaining the type of stain, and obtaining the change value of the corresponding stain type through a change database, and extracting the abnormal feature area image, grayscale processing the abnormal feature area image through the change value, and after the fluorescence is grayscale processed, the abnormal feature area is located and spliced ​​into the fluorescence image, the fluorescence overlapping part of the abnormal feature area and the fluorescence image area is determined, and the overlapping area and the corresponding grayscale value are obtained, and the impact value is obtained through the grayscale values ​​of several groups of overlapping areas.

5. A high temperature dynamic sterilization method according to claim 1, characterized in that: The sterilization calculation formula is: Among them, A is the sterilization rate, S is the intensity of the fluorescent signal, I indicates the impact value, C is the cell type, and k is a constant.

6. A high temperature dynamic sterilization method according to claim 1, characterized in that: A sterilization verification step, wherein the sterilization verification step includes obtaining a physical test result through a physical test method, obtaining a biological test result through a biological test method, and obtaining a sterilization rate as a chemical test result, and prioritizing the physical test result, the chemical test result, and the biological test result through a priority sorting strategy, and analyzing the test result with the highest priority, and if the test is completed, the subsequent test results are tested in sequence according to the priority, and if the test is not completed, sterilization is continued; The priority sorting strategy is to obtain cell types, and different cell types correspond to different reliability numbers of test results. The physical test results, chemical test results and biological test results are sorted from low to high according to the reliability numbers corresponding to the cell types.

7. A high temperature dynamic sterilization method according to claim 6, characterized in that: The physical detection step includes obtaining the sterilization time and the corresponding sterilization parameters, and calculating and obtaining the physical detection results according to the sterilization time and the sterilization parameters.

8. A high temperature dynamic sterilization method according to claim 6, characterized in that: The biological detection step is to place a biological sample in the sterilizer, wherein the biological sample is taken from the area with the highest bacterial content of the sterilized article, and during the sterilization process, the activity of the biological sample is detected and used as the biological detection result.

9. A high temperature dynamic sterilization system, characterized in that: include Sterilization data acquisition module, the surface of the object to be sterilized is coated with a fluorescent agent, and the information of the object to be sterilized is input, the information of the object to be sterilized includes the type of object, the number of objects, the target usage scenario and the usage scenario, and the sterilization requirements are generated according to the object information, and the corresponding sterilization parameters are obtained by indexing in the sterilization database; The abnormality analysis module obtains the surface image of the object to be sterilized collected by the ordinary visual camera as the defect analysis image and uses the image analysis strategy to determine whether there is an abnormal area on the surface of the object to be sterilized. If there is an abnormal area, it enters the defect analysis step. If there is no abnormal area, it generates an impact value, which is zero, and enters the sterilization calculation step; The defect analysis module, when there is an abnormal area on the surface of the object to be sterilized, obtains several frames of continuous surface images of the object to be sterilized during the sterilization process, determines the abnormal type by analyzing the size change and position change of the abnormal area, and extracts the abnormal feature area, the abnormal type includes the defect type and the stain type, when the abnormal type is the stain type, enters the abnormal analysis step, when the abnormal type is the defect type, generates an impact value, and the impact value is zero, and enters the sterilization calculation step; The abnormality analysis module, when the abnormality type is a stain type, uses a fluorescent camera to obtain a surface image of the object to be sterilized as a fluorescent image, locates and splices the abnormal feature area into the fluorescent image, and generates an impact value according to a fluorescent analysis strategy; A sterilization calculation module is used to obtain a fluorescent electrical signal and convert the fluorescent electrical signal into a sterilization value, obtain a sterilization rate through a sterilization calculation formula using the sterilization value and the influence value, and obtain a sterilization threshold value of a corresponding time in a sterilization data table, corresponding to the sterilization rate and the sterilization threshold value, and generate an adjustment signal if the sterilization rate is less than the sterilization threshold value; The dynamic adjustment module obtains the adjustment signal, and adjusts the sterilization parameters according to the adjustment signal, and continues the above steps until the sterilization is completed.

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