Method, device and storage medium for evaluating hydrogen peroxide gas sterilization of a load

Abstract

The application provides a hydrogen peroxide gas sterilization load evaluation method, device and storage medium, relates to the field of low-temperature sterilization technology, and comprises the following steps: obtaining a load feature of hydrogen peroxide gas sterilization, wherein the load feature comprises a first load feature and a second load feature, and collecting sample data of hydrogen peroxide in the production and test processes; collecting sample data according to the load feature, constructing a sterilization correlation evaluation graph, processing a plurality of sterilization systems based on the sterilization correlation evaluation graph, and obtaining first sterilization load evaluation feature information and second sterilization load evaluation feature information; and using a genetic algorithm to solve the first sterilization load evaluation feature information and the second sterilization load evaluation feature information, so as to obtain an optimal solution of hydrogen peroxide gas sterilization load evaluation. The application has the beneficial effect that a guidance basis can be provided for the evaluation of sterilization load, and it is beneficial to reduce instrument damage, save sterilization agents and reduce sterilization agent residues.

Description

Technical Field

[0001] This invention relates to the field of low-temperature sterilization technology, and more specifically, to a method, apparatus, and storage medium for evaluating the sterilization load of hydrogen peroxide gas. Background Technology

[0002] Hydrogen peroxide gas sterilization is an advanced low-temperature sterilization method with significant advantages such as high sterilization efficiency, easy decomposition of residues, and harmlessness to the human body. However, the strong oxidizing properties of its sterilizing medium can cause varying degrees of damage to the items or medical devices being sterilized. Therefore, this advanced sterilization method faces a major contradiction: the conflict between high efficiency and device damage. To address this contradiction, the key is to accurately and appropriately apply the sterilizing medium dosage to the specific object being sterilized.

[0003] In real-world sterilization practices, the variety of loads is due to a multitude of complex factors, including load material, quality, biocontamination level, surface area, lumen shape, and distribution within the load chamber. This diversity makes it difficult to quantitatively assess loads, resulting in a lack of research on quantifying or assessing loads. Consequently, the lack of load assessment methods has become the biggest obstacle to accurately applying sterilization dosages. Summary of the Invention

[0004] The purpose of this invention is to provide a method, apparatus, and storage medium for evaluating the sterilization load of hydrogen peroxide gas, in order to improve the aforementioned problems. To achieve the above objective, the technical solution adopted by this invention is as follows:

[0005] In a first aspect, this application provides a method for evaluating the sterilization load of hydrogen peroxide gas, characterized in that it includes:

[0006] The loading characteristics of hydrogen peroxide gas sterilization are obtained. The loading characteristics include a first loading characteristic and a second loading characteristic. The first loading characteristic includes the contamination status, surface area, material, and mass of the object to be sterilized. The second loading characteristic includes the shape of the lumen under sterilization conditions, the distribution within the loading chamber, the proportion of different instruments, and the packaging style of all objects to be sterilized.

[0007] Using the minimum dose of hydrogen peroxide as the target amount, sample data of hydrogen peroxide were collected during the production and testing processes. The premise of the target amount is that the sterility assurance level reaches 10 under sterilization conditions. -6 The consumption dose; the sample data includes temperature image information, pressure information, time information, concentration information and parameter information during production and testing;

[0008] Based on the load characteristics, sample data is collected to construct a sterilization correlation assessment map. The sterilization correlation assessment map includes the correlation between the load characteristics and the sterilization dose. Based on the sterilization correlation assessment map, multiple sterilization systems are processed to obtain first sterilization load assessment feature information, which includes loss characteristics.

[0009] Based on the sample data, the sterilization correlation assessment map is analyzed and processed to obtain the second sterilization load assessment feature information.

[0010] Using a genetic algorithm, the first sterilization load assessment feature information and the second sterilization load assessment feature information are solved to obtain the optimal solution for hydrogen peroxide gas sterilization load assessment.

[0011] Preferably, the collection of sample data during the production and testing of hydrogen peroxide includes:

[0012] The sample data is processed, including data cleaning, to obtain cleaned sample information.

[0013] The process involves detecting and removing outlier data from the cleaned sample data, filling in the missing data, which includes combining two consecutive data points from the processed sample data to obtain combined data, using a clustering algorithm to cluster all combined data, determining the outlier threshold range, removing data outside the outlier threshold range, and filling in the missing data based on the amount of missing data to obtain the filled data.

[0014] The temperature image information in the filled data is subjected to wavelet transform to obtain the first processed information;

[0015] The Kalman filter method is used to filter and reduce noise in the first processed information to obtain the final processed sample data.

[0016] Preferably, after collecting sample data from hydrogen peroxide during production and testing, the process of feature acquisition of the sample data includes:

[0017] Start the sterilization system and load the equipment within it;

[0018] Add a preset dose of sterilizing agent and start the initial test procedure in the sterilization system. The initial test procedure includes setting the sterilization dose and setting the exposure period.

[0019] Collect information data during the initial test, including temperature image information, pressure information, time information, concentration information, and parameter information;

[0020] Feature extraction is performed on the information data to obtain target features, wherein the target features are used to analyze and process the features of the sterilization correlation assessment spectrum, and the target features are the optimal features among all features.

[0021] Preferably, the construction of the sterilization correlation assessment map includes, prior to:

[0022] The sterilization load assessment index was determined by using an expert survey method based on the actual sterilization situation.

[0023] A theoretical evaluation model was constructed based on sterilization load assessment indicators;

[0024] Based on the theoretical evaluation model, the weight coefficients of each level are determined, and the total weight of each factor evaluation index is obtained by calculating using the analytic hierarchy process.

[0025] The weights of each indicator factor in the multi-level evaluation system are determined to obtain the optimal dataset. Based on the optimal dataset, a sterilization correlation assessment map is constructed.

[0026] Preferably, the theoretical evaluation model is:

[0027] Total sterilizing agent amount = Sterilization consumption + Non-sterilization consumption + Non-load consumption + Sterilizing agent residue required for sterilization = Sterilization consumption + Non-sterilization consumption + Non-load consumption

[0028] Secondly, this application also provides an evaluation device for the sterilization load of hydrogen peroxide gas, including an acquisition module, a collection module, a construction module, a processing module, and a solution module, wherein:

[0029] Acquisition module: used to acquire the load characteristics of hydrogen peroxide gas sterilization, the load characteristics including a first load characteristic and a second load characteristic, wherein the first load characteristic includes the contamination status, surface area, material and mass of the object to be sterilized; the second load characteristic includes the lumen shape under sterilization conditions, the distribution in the load chamber, the proportion of different instruments and the packaging form of all objects to be sterilized;

[0030] Data Acquisition Module: Used to collect sample data of hydrogen peroxide during production and testing, with the minimum target dose as the objective. The objective dose is contingent upon achieving a sterility level of 10⁻⁶ under sterilization conditions. -6 The consumption dose; the sample data includes temperature image information, pressure information, time information, concentration information and parameter information during production and testing;

[0031] Construction module: used to collect sample data based on the load characteristics, construct a sterilization correlation assessment map, the sterilization correlation assessment map includes the correlation between the load characteristics and the sterilization dose, process multiple sterilization systems based on the sterilization correlation assessment map to obtain first sterilization load assessment feature information, the first sterilization load assessment feature information includes loss characteristics;

[0032] Processing module: used to analyze and process the sterilization correlation assessment spectrum based on the sample data to obtain the second sterilization load assessment feature information;

[0033] Solution module: Used to solve the first sterilization load assessment feature information and the second sterilization load assessment feature information using a genetic algorithm to obtain the optimal solution for hydrogen peroxide gas sterilization load assessment.

[0034] Thirdly, this application also provides an evaluation device for the sterilization load of hydrogen peroxide gas, comprising:

[0035] Memory, used to store computer programs;

[0036] A processor for implementing the steps of the method for evaluating the sterilization load of hydrogen peroxide gas when executing the computer program.

[0037] Fourthly, this application also provides a readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described evaluation method for sterilization load based on hydrogen peroxide gas.

[0038] The beneficial effects of this invention are as follows:

[0039] This invention provides a method for assessing the sterilization load of hydrogen peroxide gas, which can provide a guiding basis for the assessment of sterilization load and create the preconditions for the precise application of sterilization dosage. At the same time, this method can also be applied to specific sterilization processes to form a more precise and targeted complete sterilization process, which is beneficial to reduce instrument damage, save sterilizing agents, and reduce sterilizing agent residue.

[0040] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description

[0041] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the hydrogen peroxide gas sterilization load assessment method described in this embodiment of the invention;

[0043] Figure 2 This is a schematic diagram of the structure of the hydrogen peroxide gas sterilization load evaluation device described in this embodiment of the invention;

[0044] Figure 3 This is a schematic diagram of the structure of the hydrogen peroxide gas sterilization load evaluation device described in an embodiment of the present invention.

[0045] In the diagram: 701, Acquisition Module; 702, Data Acquisition Module; 7021, First Processing Unit; 7022, Rejection Unit; 7023, Second Processing Unit; 7024, Noise Reduction Unit; 7025, Startup Unit; 7026, Setting Unit; 7027, Data Acquisition Unit; 7028, Extraction Unit; 703, Construction Module; 7031, Determination Unit; 7032, First Construction Unit; 7033, Calculation Unit; 7034, Second Construction Unit; 704, Processing Module; 705, Solving Module; 800, Evaluation Device for Hydrogen Peroxide Gas Sterilization Load; 801, Processor; 802, Memory; 803, Multimedia Component; 804, I / O Interface; 805, Communication Component. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0047] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0048] Example 1:

[0049] This embodiment provides a method for evaluating the sterilization load of hydrogen peroxide gas.

[0050] See Figure 1 The figure shows that the method includes steps S100, S200, S300, S400 and S500.

[0051] S100. Obtain the load characteristics for hydrogen peroxide gas sterilization. The load characteristics include a first load characteristic and a second load characteristic. The first load characteristic includes the contamination status, surface area, material, and mass of the object to be sterilized. The second load characteristic includes the shape of the lumen under sterilization conditions, the distribution within the load chamber, the proportion of different instruments, and the packaging style of all objects to be sterilized.

[0052] Understandably, many load characteristics can be specified in this step, such as: load biocontamination, surface area, material, mass, lumen shape, load distribution within the load chamber, proportion of different instruments, and packaging style. The correlation analysis and characteristic setting of load characteristics in this step include material and proportion, species and quantity of organisms, surface area, longest lumen, load distribution, and packaging style, among which:

[0053] Material and proportion: The stronger the reducing power of the material, the easier it is to be oxidized by hydrogen peroxide, the faster the rate of hydrogen peroxide consumption, and the more proportion it has, the more non-sterilization is consumed. For example, metal is more easily oxidized than glass. Considering the operability of sterilization practice, the type and weight of the load body material can be used as characteristic quantities in this embodiment.

[0054] The types and quantities of organisms: The more resistant the biological pollutants are to hydrogen peroxide, the less easily they are oxidized. This means that it takes longer to be fully oxidized and killed. The lower the consumption rate and the longer the time, the more non-sterilization consumption will be. The more biologicals there are, the more sterilization consumption there will be. In sterilization practice, Bacillus stearothermophilus spores are commonly used as standard microorganisms for hydrogen peroxide. In this embodiment, only the number of microorganisms is used as a characteristic quantity.

[0055] Surface area: The larger the surface area, the greater the chance of contact with hydrogen peroxide and reaction, which is reflected in the greater consumption rate of hydrogen peroxide and the greater the non-sterile consumption. Surface area is used as a characteristic quantity.

[0056] The narrowest and longest lumen: The narrower and longer the lumen, the more difficult it is for hydrogen peroxide to penetrate into the interior for sterilization, which affects the consumption rate and increases the sterilization time. This means that the consumption of non-hydrogen peroxide increases, while the amount of sterilization is not affected. The presence or absence of the lumen and the length multiplied by the inner diameter are used as characteristic quantities.

[0057] Load distribution: The denser and more unevenly the loads are placed, the longer the total sterilization time will be, which will lead to increased non-sterilization consumption. Generally, the unevenness of the sterilization load is not obvious, and it is usually manifested as the difference in density. The density is often reflected by the load mass; therefore, the load mass m is used as a characteristic quantity.

[0058] Packaging: Loading non-sterile consumables, but not affecting the instrument. There are generally two types of packaging styles, one is non-woven fabric cuboid packaging (referred to as type A); the other is Tyvek paper bag packaging (referred to as type B). Therefore, in this embodiment, the characteristic quantities can be set as: type A, length × width × height, type B: length × width × height.

[0059] S200. Using the minimum dose of hydrogen peroxide as the target amount, collect sample data of hydrogen peroxide during production and testing processes. The premise of the target amount is that the sterility assurance level reaches 10 under sterilization conditions. -6 The consumption dose; the sample data includes temperature image information, pressure information, time information, concentration information and parameter information during production and testing.

[0060] It is understandable that sample data of hydrogen peroxide during production and testing are collected in this S200 step, including S201, S202, S203, and S204, wherein:

[0061] S201. Process the sample data, including data cleaning, to obtain cleaned sample information.

[0062] S202. Detect and remove abnormal data in the cleaned sample data, and fill in the missing positions after removal. This includes combining two data points in the processed sample data to obtain combined data, using a clustering algorithm to cluster all combined data, determining the abnormal threshold range, removing data outside the abnormal threshold range, and filling in the missing data according to the size of the missing data to obtain the filled data.

[0063] It should be noted that in this step, after removing data, the data is filled in according to the size of the missing data, resulting in the following filled data:

[0064] Statistical analysis is performed on the missing data. If the number of consecutive missing data points exceeds the predicted number (e.g., 8 or 7), the average of the remaining data is used to fill the gaps. If the number of consecutive missing data points does not exceed the predicted number, interpolation can be used for filling. The calculation formula is as follows:

[0065]

[0066] In the formula, (x0, y0) and (x1, y1) represent the data of the two points before and after the missing data end, respectively, and calculate the y value corresponding to a point x in the interval.

[0067] S202. Perform wavelet transform on the temperature image information in the filled data to obtain the first processed information;

[0068] It should be noted that the wavelet transform method can be used to process signals such as audio, images, and video. In this embodiment, it is used to analyze the texture and edge features of the image, thereby enabling a better understanding and processing of the image.

[0069] S204. The first processed information is filtered and denoised using the Kalman filter method to obtain the final processed sample data.

[0070] It should be noted that after obtaining the corresponding processed operating data for each operating indicator, the algorithm uses the loss linear system state equation and the first processed information from the system input and output to make an optimal estimate of the system state.

[0071] It should be noted that after step S204, the process of feature acquisition of the sample data includes steps S205, S206, S207, and S208, wherein:

[0072] S205. Start the sterilization system and load the equipment in the sterilization system;

[0073] S206. Add a preset dose of sterilizing agent and start the initial test procedure in the sterilization system. The initial test procedure includes setting the sterilization dose and setting the exposure period.

[0074] S207. Collect information data during the initial test, wherein the information data includes temperature image information, pressure information, time information, concentration information and parameter information;

[0075] S208. Extract features from the information data to obtain target features, wherein the target features are used to analyze and process the features of the sterilization correlation assessment spectrum, and the target features are the optimal features among all features.

[0076] S200. Collect sample data based on the load characteristics, construct a sterilization correlation assessment map, the sterilization correlation assessment map includes the correlation between the load characteristics and the sterilization dose, process multiple sterilization systems based on the sterilization correlation assessment map to obtain first sterilization load assessment feature information, the first sterilization load assessment feature information includes loss characteristics.

[0077] Furthermore, various parameters of the sterilization load are input into the sterilization system, and loss characteristics are output. These loss characteristics include the initial loss rate, the average loss rate, and the initial total loss. The initial loss rate, the average loss rate, and the initial total loss obtained from the loss characteristics are returned and reflected in the sterilization load.

[0078] It should be noted that in this step S300, before constructing the sterilization correlation assessment map, there are steps S301, S302, S303, and S304, where:

[0079] S301. Determine sterilization load assessment indicators by using expert survey method in combination with actual sterilization conditions;

[0080] Furthermore, in this step, a consultation questionnaire can be set up through literature research, expert interviews, etc. The content of the consultation questionnaire includes the project background, purpose, basis, technical route, and technical indicators involved in each technical route. The consultation questionnaire is distributed to multiple experts for expert consultation using the Delphi method, and multiple evaluation indicators are determined in combination with some characteristics of the Internet project itself.

[0081] S302. Construct a theoretical evaluation model based on sterilization load assessment indicators;

[0082] It is understandable that sterilization load assessment indicators can be classified and summarized into three levels from top to bottom: target level, standard level, and protocol level. The target level is the classification of assessment levels, the standard deviation is the technical solution formulated for each stage, and the protocol level is the goal that can be achieved through algorithms or parameters.

[0083] S303. Based on the theoretical evaluation model, determine the weight coefficients of each level, and calculate the total weight of each factor evaluation index through the analytic hierarchy process.

[0084] S304. Determine the weight of each indicator factor in the multi-level evaluation system to obtain the optimal dataset. Based on the optimal dataset, construct a sterilization correlation assessment map.

[0085] It should be noted that the Analytic Hierarchy Process (AHP) decomposes the problem to make it more organized and clear. By constructing an AHP model, the influencing factors in the same layer are compared with each other, and the importance value is determined according to the relative importance. Finally, the weight of each indicator factor in the multi-level evaluation system is determined to obtain the optimal dataset. If the optimal dataset is then used to construct a graph, it will be more accurate, and the subsequent evaluation results will be more accurate and specific.

[0086] It should be noted that the theoretical evaluation model in step S302 includes:

[0087] Total sterilizing agent consumption = Non-load consumption + Load consumption + Residual sterilizing agent load consumption = Non-sterilization consumption + Sterilization consumption

[0088] Non-load consumption refers to the consumption of sterilizing agent during sterilization, specifically the consumption on the sterilization chamber walls, the surfaces of other objects within the chamber, and the decomposition of the agent itself. Under certain conditions of the sterilization system and its environment, non-load consumption is a stable value with very little correlation to the load, and can be considered a fixed constant.

[0089] Sterilizer residue is a detectable physical quantity that remains after a specific sterilization process is completed due to factors such as physical absorption of the load, local condensation, and excessive supply of sterilizing agent.

[0090] Among them, non-sterilization consumption of load refers to other consumption that is not directly used for microbial sterilization of the sterilized instrument, such as oxidation of sterilized items and oxidation of packaging; non-load consumption is also a contradictory aspect that we are concerned about, namely damage to the instrument; minimizing damage to the instrument means minimizing non-sterilization consumption of load.

[0091] Based on the above model, we can conclude that:

[0092] Total sterilizing agent amount = Sterilization consumption + Non-sterilization consumption + Non-load consumption + Necessary sterilization dose for residual sterilizing agent = Sterilization consumption + Non-sterilization consumption + Non-load consumption

[0093] Non-load consumption is a constant value that is independent of the load.

[0094] S400. Based on the sample data, the sterilization correlation assessment spectrum is analyzed and processed to obtain the second sterilization load assessment feature information.

[0095] S500. Using a genetic algorithm, solve for the first sterilization load assessment feature information and the second sterilization load assessment feature information to obtain the optimal solution for hydrogen peroxide gas sterilization load assessment.

[0096] Understandably, in this step, a genetic algorithm is used to allow the population to evolve into increasingly better regions of the search space, continuously reproducing and evolving generation after generation, eventually converging into a group of individuals best adapted to the environment. This process solves for the first and second sterilization load assessment features, thereby obtaining a high-quality solution to the problem. This can provide a guiding basis for the assessment of sterilization load. Furthermore, this method can be applied to specific sterilization processes to create a more precise and targeted sterilization process, which is beneficial for reducing instrument damage, conserving sterilizing agents, and minimizing sterilizing agent residue.

[0097] Example 2:

[0098] like Figure 2 As shown, this embodiment provides an evaluation device for the sterilization load of hydrogen peroxide gas. See [link to relevant documentation]. Figure 2 The device includes an acquisition module 701, a collection module 702, a construction module 703, a processing module 704, and a solution module 705, wherein:

[0099] Acquisition module 701: used to acquire the load characteristics of hydrogen peroxide gas sterilization, the load characteristics including a first load characteristic and a second load characteristic, wherein the first load characteristic includes the contamination status, surface area, material and mass of the object to be sterilized; the second load characteristic includes the lumen shape under sterilization conditions, the distribution in the load chamber, the proportion of different instruments and the packaging form of all objects to be sterilized;

[0100] Acquisition module 702: Used to collect sample data of hydrogen peroxide during production and testing, with the minimum dose of hydrogen peroxide as the target amount. The target amount is the consumption dose under sterilization conditions with a sterility assurance level of 10⁻⁶. The sample data includes temperature image information, pressure information, time information, concentration information, and parameter information during production and testing.

[0101] Construction module 703: used to collect sample data according to the load characteristics, construct a sterilization correlation assessment map, the sterilization correlation assessment map includes the correlation between the load characteristics and the sterilization dose, process multiple sterilization systems based on the sterilization correlation assessment map, and obtain first sterilization load assessment feature information, the first sterilization load assessment feature information including loss characteristics;

[0102] Processing module 704: used to analyze and process the sterilization correlation assessment spectrum based on the sample data to obtain the second sterilization load assessment feature information;

[0103] Solving module 705: Used to solve the first sterilization load assessment feature information and the second sterilization load assessment feature information using a genetic algorithm to obtain the optimal solution for hydrogen peroxide gas sterilization load assessment.

[0104] Specifically, the acquisition module 702 includes a first processing unit 7021, a rejection unit 7022, a second processing unit 7023, and a noise reduction unit 7024, wherein:

[0105] First processing unit 7021: used to process sample data, wherein the processing includes data cleaning to obtain cleaned sample information;

[0106] Elimination unit 7022: Used to detect and eliminate abnormal data in the cleaned sample data, and fill in the missing positions after elimination. This includes combining two data points in the processed sample data to obtain combined data, using a clustering algorithm to cluster all combined data and determine the abnormal threshold range, eliminating data outside the abnormal threshold range, and filling in the missing data according to the size of the missing data to obtain the filled data.

[0107] The second processing unit 7023 is used to perform wavelet transform processing on the temperature image information in the filled data to obtain the first processing information;

[0108] Noise reduction unit 7024: used to filter and reduce noise on the first processed information using the Kalman filtering method to obtain the final processed sample data.

[0109] Specifically, after the acquisition module 702, the process of feature acquisition of sample data includes a startup unit 7025, a setting unit 7026, an acquisition unit 7027, and an extraction unit 7028, wherein:

[0110] Start-up unit 7025: Used to start the sterilization system and load the equipment of the sterilization system;

[0111] Setting unit 7026: used to add a preset dose of sterilizing agent and start the initial test program in the sterilization system, the initial test program including setting the sterilization dose and setting the exposure period;

[0112] Acquisition unit 7027: used to acquire information data during the initial test, wherein the information data includes temperature image information, pressure information, time information, concentration information and parameter information;

[0113] Extraction unit 7028: used to extract features from information data to obtain target features, wherein the target features are used to analyze and process the features of the sterilization correlation assessment spectrum, and the target features are the optimal features among all features.

[0114] Specifically, the construction module 703 constructs a sterilization correlation assessment map, which includes a determination unit 7031, a first construction unit 7032, a calculation unit 7033, and a second construction unit 7034, wherein:

[0115] Unit 7031: Used to determine sterilization load assessment indicators by combining actual sterilization conditions with expert surveys;

[0116] First building unit 7032: Used to construct a theoretical evaluation model based on sterilization load assessment indicators;

[0117] Calculation unit 7033: used to determine the weight coefficients of each level based on the theoretical evaluation model, and to calculate the total weight of each factor evaluation index through the analytic hierarchy process.

[0118] The second building unit 7034 is used to determine the weight of each indicator factor in the multi-level evaluation system, thereby obtaining the optimal dataset, and constructing a sterilization correlation assessment map based on the optimal dataset.

[0119] It should be noted that the specific manner in which each module performs its operation in the apparatus described in the above embodiments has been described in detail in the embodiments of the method, and will not be elaborated here.

[0120] Example 3:

[0121] Corresponding to the above method embodiments, this embodiment also provides an evaluation device for hydrogen peroxide gas sterilization load. The evaluation device for hydrogen peroxide gas sterilization load described below and the evaluation method for hydrogen peroxide gas sterilization load described above can be referred to in correspondence with each other.

[0122] Figure 3 This is a block diagram illustrating an evaluation device 800 for hydrogen peroxide gas sterilization load according to an exemplary embodiment. Figure 3 As shown, the hydrogen peroxide gas sterilization load evaluation device 800 includes a processor 801 and a memory 802. The hydrogen peroxide gas sterilization load evaluation device 800 also includes one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0123] The processor 801 controls the overall operation of the hydrogen peroxide gas sterilization load assessment device 800 to complete all or part of the steps in the aforementioned hydrogen peroxide gas sterilization load assessment method. The memory 802 stores various types of data to support the operation of the hydrogen peroxide gas sterilization load assessment device 800. This data may include, for example, instructions for any application or method operating on the hydrogen peroxide gas sterilization load assessment device 800, and application-related data such as contact data, sent and received messages, images, audio, video, etc. The memory 802 can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. I / O interface 804 provides an interface between processor 801 and other interface modules, such as a keyboard, mouse, or buttons. These buttons can be virtual or physical. Communication component 805 is used for wired or wireless communication between the hydrogen peroxide gas sterilization load evaluation device 800 and other devices. Wireless communication includes, for example, Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 805 may include a Wi-Fi module, a Bluetooth module, or an NFC module.

[0124] In an exemplary embodiment, the hydrogen peroxide gas sterilization load evaluation device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described hydrogen peroxide gas sterilization load evaluation method.

[0125] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the hydrogen peroxide gas sterilization load evaluation method described above. For example, the computer-readable storage medium may be the memory 802 including program instructions described above, which may be executed by the processor 801 of the hydrogen peroxide gas sterilization load evaluation device 800 to complete the hydrogen peroxide gas sterilization load evaluation method described above.

[0126] Example 4:

[0127] Corresponding to the above method embodiments, this embodiment also provides a readable storage medium. The readable storage medium described below and the method for evaluating the sterilization load of hydrogen peroxide gas described above can be referred to in relation to each other.

[0128] A computer program is stored on a readable storage medium, which, when executed by a processor, implements the steps of the method for evaluating the hydrogen peroxide gas sterilization load described in the above method embodiments.

[0129] Specifically, the readable storage medium can be a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or any other readable storage medium capable of storing program code.

[0130] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for evaluating the sterilization load of hydrogen peroxide gas, characterized in that, include: The loading characteristics of hydrogen peroxide gas sterilization are obtained. The loading characteristics include a first loading characteristic and a second loading characteristic. The first loading characteristic includes the contamination status, surface area, material, and mass of the object to be sterilized. The second loading characteristic includes the shape of the lumen under sterilization conditions, the distribution within the loading chamber, the proportion of different instruments, and the packaging style of all objects to be sterilized. Using the minimum dose of hydrogen peroxide as the target amount, sample data of hydrogen peroxide were collected during the production and testing processes. The premise of the target amount is that the sterility assurance level reaches 10 under sterilization conditions. -6 The consumption dose; the sample data includes temperature image information, pressure information, time information, concentration information and parameter information during production and testing; Based on the load characteristics, sample data is collected to construct a sterilization correlation assessment map. The sterilization correlation assessment map includes the correlation between the load characteristics and the sterilization dose. Based on the sterilization correlation assessment map, multiple sterilization systems are processed to obtain first sterilization load assessment feature information, which includes loss characteristics. Based on the sample data, the sterilization correlation assessment map is analyzed and processed to obtain the second sterilization load assessment feature information. Using a genetic algorithm, the first sterilization load assessment feature information and the second sterilization load assessment feature information are solved to obtain the optimal solution for hydrogen peroxide gas sterilization load assessment. The construction of the sterilization correlation assessment map previously included: The sterilization load assessment index was determined by using an expert survey method based on the actual sterilization situation. A theoretical evaluation model was constructed based on sterilization load assessment indicators; Based on the theoretical evaluation model, the weight coefficients of each level are determined, and the total weight of each factor evaluation index is obtained by calculating using the analytic hierarchy process. The weight of each indicator factor in the multi-level evaluation system is determined to obtain the optimal dataset. Based on the optimal dataset, a sterilization correlation assessment map is constructed. The theoretical evaluation model is as follows: Total sterilizing agent = Sterilization consumption + Non-sterilization consumption + Non-load consumption + Sterilizing agent residue Required sterilization dose = sterilization consumption + non-sterilization consumption + non-load consumption.

2. The method for evaluating the sterilization load of hydrogen peroxide gas according to claim 1, characterized in that, The collected sample data of hydrogen peroxide during production and testing processes include: The sample data is processed, including data cleaning, to obtain cleaned sample information. The process involves detecting and removing outlier data from the cleaned sample data, filling in the missing data, which includes combining two consecutive data points from the processed sample data to obtain combined data, using a clustering algorithm to cluster all combined data, determining the outlier threshold range, removing data outside the outlier threshold range, and filling in the missing data based on the amount of missing data to obtain the filled data. The temperature image information in the filled data is subjected to wavelet transform to obtain the first processed information; The Kalman filter method is used to filter and reduce noise in the first processed information to obtain the final processed sample data.

3. The method for evaluating the sterilization load of hydrogen peroxide gas according to claim 2, characterized in that, The process of collecting sample data from hydrogen peroxide during production and testing, followed by feature acquisition of the sample data, includes: Start the sterilization system and load the equipment within it; Add a preset dose of sterilizing agent and start the initial test procedure in the sterilization system. The initial test procedure includes setting the sterilization dose and setting the exposure period. Collect information data during the initial test, including temperature image information, pressure information, time information, concentration information, and parameter information; Feature extraction is performed on the information data to obtain target features, wherein the target features are used to analyze and process the features of the sterilization correlation assessment spectrum, and the target features are the optimal features among all features.

4. An evaluation device for the sterilization load of hydrogen peroxide gas, characterized in that, include: Acquisition module: used to acquire the load characteristics of hydrogen peroxide gas sterilization, the load characteristics including a first load characteristic and a second load characteristic, wherein the first load characteristic includes the contamination status, surface area, material and mass of the object to be sterilized; the second load characteristic includes the lumen shape under sterilization conditions, the distribution in the load chamber, the proportion of different instruments and the packaging form of all objects to be sterilized; Data Acquisition Module: Used to collect sample data of hydrogen peroxide during production and testing, with the minimum target dose as the objective. The objective dose is contingent upon achieving a sterility level of 10⁻⁶ under sterilization conditions. -6 The consumption dose; the sample data includes temperature image information, pressure information, time information, concentration information and parameter information during production and testing; Construction module: used to collect sample data based on the load characteristics, construct a sterilization correlation assessment map, the sterilization correlation assessment map includes the correlation between the load characteristics and the sterilization dose, process multiple sterilization systems based on the sterilization correlation assessment map to obtain first sterilization load assessment feature information, the first sterilization load assessment feature information includes loss characteristics; Processing module: used to analyze and process the sterilization correlation assessment spectrum based on the sample data to obtain the second sterilization load assessment feature information; Solving module: Used to solve the first sterilization load assessment feature information and the second sterilization load assessment feature information using a genetic algorithm to obtain the optimal solution for hydrogen peroxide gas sterilization load assessment; The construction module includes building a sterilization correlation assessment map, which previously included: Determining Unit: Used to determine sterilization load assessment indicators by combining actual sterilization conditions with expert surveys; The first building unit is used to construct a theoretical evaluation model based on sterilization load assessment indicators. Calculation unit: used to determine the weight coefficients of each level based on the theoretical evaluation model, and to calculate the total weight of each factor evaluation index through the analytic hierarchy process; The second building block is used to determine the weight of each indicator factor in the multi-level evaluation system, thereby obtaining the optimal dataset. Based on the optimal dataset, a sterilization correlation assessment map is constructed.

5. The apparatus for evaluating the sterilization load of hydrogen peroxide gas according to claim 4, characterized in that, The acquisition module includes: First processing unit: used to process sample data, including data cleaning to obtain cleaned sample information; The elimination unit is used to detect and eliminate abnormal data in the cleaned sample data. After elimination, the missing positions are filled. This includes combining two data points in the processed sample data to obtain combined data, using a clustering algorithm to cluster all combined data and determine the abnormal threshold range, eliminating data outside the abnormal threshold range, and filling the missing data according to the size of the missing data to obtain the filled data. The second processing unit is used to perform wavelet transform processing on the temperature image information in the filled data to obtain the first processed information. Noise reduction unit: Used to filter and reduce noise in the first processed information using the Kalman filter method to obtain the final processed sample data.

6. The apparatus for evaluating the sterilization load of hydrogen peroxide gas according to claim 5, characterized in that, Following the acquisition module, the process of feature acquisition of the sample data includes: Start-up unit: Used to start the sterilization system and load the equipment in the sterilization system; Setting unit: used to add a preset dose of sterilizing agent and start the initial test program in the sterilization system, the initial test program including setting the sterilization dose and setting the exposure period; Acquisition unit: used to collect information data during the initial test, including temperature image information, pressure information, time information, concentration information, and parameter information; Extraction unit: used to extract features from information data to obtain target features, wherein the target features are used to analyze and process the features of the sterilization correlation assessment spectrum, and the target features are the optimal features among all features.

7. A readable storage medium, characterized in that: The readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method for evaluating the sterilization load of hydrogen peroxide gas as described in any one of claims 1 to 3.

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