Disinfection and sterilization method and disinfection and sterilization device for oral medical apparatus and instruments

Abstract

The invention relates to the technical field of ultrasonic disinfection, in particular to a disinfection and sterilization method and a disinfection and sterilization device for oral medical instruments. The method comprises the following steps: setting an initial cleaning frequency, cleaning the oral medical device in a current frequency modulation period, and shooting continuous frames of images; determining a to-be-cleaned area, and determining a cleaning effect index according to the gray value change of the pixel point and the position of the pixel point; in combination with the cleaning effect indexes of the pixel points and other pixel points in a preset first neighborhood, analyzing all the pixel points in the to-be-cleaned area of the adjacent frame to obtain the large dirt degree under the adjacent frame; determining the overall cleaning degree of the last frame according to the large dirt degree under all adjacent frames and the pixel point gray value of the to-be-cleaned area in the last frame of the current frequency modulation period; and adjusting the cleaning frequency of the next frequency modulation period according to the overall cleaning degree. Different dirt can be reasonably cleaned and disinfected, and the vibration cleaning and disinfecting efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic disinfection, and particularly relates to a disinfection and sterilization method and a disinfection and sterilization device for oral medical devices. Background Art

[0002] Oral medical devices refer to various devices used in medical procedures such as oral diagnosis, examination, and surgery, including diagnostic devices such as oral mirrors, dental probes, and dental pliers, as well as surgical instruments such as scalpels and scissors, and other types of medical devices. Since direct contact between patients and medical devices is inevitable during oral treatment and examination, unsterilized devices may become a medium for the spread of germs, leading to cross-infection between different patients. In dental surgery and treatment, the risk of infection is particularly prominent. Therefore, it is crucial to disinfect and sterilize oral medical devices.

[0003] In related technologies, through an ultrasonic disinfection device, a fixed cleaning frequency is set, or the cleaning frequency is gradually increased step by step to achieve the dirt cleaning effect. In this way, since the dirt includes large dirt (such as residual oral calculus) and small dirt (such as oral tissues, etc.), different specifications of dirt can be efficiently removed only through different cleaning frequencies. Therefore, the cleaning and disinfection process in related technologies cannot perform reasonable cleaning and disinfection for different dirt, and the oscillation cleaning efficiency is relatively low. Summary of the Invention

[0004] In order to solve the technical problem that the cleaning and disinfection process in related technologies cannot perform reasonable cleaning and disinfection for different dirt and the oscillation cleaning efficiency is relatively low, the present invention provides a disinfection and sterilization method and a disinfection and sterilization device for oral medical devices, and the specific technical solutions adopted are as follows: The present invention proposes a disinfection and sterilization method and a disinfection and sterilization device for oral medical devices. The method includes: Set an initial cleaning frequency, and clean the soaked oral medical device within the current frequency modulation cycle and capture consecutive frames of images; Determine the area to be cleaned of the oral medical device in the image. According to the change in the gray value and the position of the pixel points in the area to be cleaned in adjacent frames, determine the cleaning effect index of each pixel point in adjacent frames; combine the cleaning effect index of the pixel point and other pixel points in the preset first neighborhood to analyze all pixel points in the area to be cleaned in adjacent frames, and obtain the degree of large dirt in adjacent frames; According to the degree of large dirt in all adjacent frames and the gray value of the pixel points in the last frame of the area to be cleaned in the current frequency modulation cycle, determine the overall cleaning degree of the last frame in the current frequency modulation cycle; Adjust the cleaning frequency of the next frequency modulation cycle according to the overall cleaning degree.

[0005] Further, determining the area to be cleaned of the oral medical device within the image includes: Using image feature extraction to obtain the medical device area; when the number of other pixel points belonging to the medical device area within the preset second neighborhood of any pixel point in the medical device area is less than half, determining the pixel points belonging to the tip position of the medical device; Taking the area composed of all the tip position pixel points as the area to be cleaned.

[0006] Further, determining the cleaning effect index of each pixel point in adjacent frames according to the gray value change and pixel point position of the pixel points in the area to be cleaned in adjacent frames includes: Determining the gray value difference between the pixel points at the same position in the area to be cleaned in any frame and the previous frame as the gray value change of the corresponding pixel points; Determining the Euclidean distance between the pixel point and the morphological center of the area composed of all the tip position pixel points, and normalizing the negative value of the Euclidean distance as the distance weight; Calculating the product value of the gray value change and the distance weight to obtain the cleaning effect index of the pixel point in the corresponding adjacent frame.

[0007] Further, combining the cleaning effect indexes of the pixel point and other pixel points in the preset first neighborhood to analyze all the pixel points in the area to be cleaned in adjacent frames to obtain the degree of large dirt in adjacent frames includes: Determining the local dirt coefficient at the pixel point position according to the difference in the cleaning effect indexes of the pixel point and other pixel points in the preset first neighborhood; Calculating the sum value of the local dirtiness at all pixel point positions in the area to be cleaned as the degree of large dirt.

[0008] Further, the preset first neighborhood is an eight-neighborhood, and determining the local dirt coefficient at the pixel point position according to the difference in the cleaning effect indexes of the pixel point and other pixel points in the preset first neighborhood includes: Respectively calculating the absolute value of the difference in the cleaning effect indexes between the pixel point and other pixel points in the eight-neighborhood as the index difference; Taking the mean value of all the index differences in the eight-neighborhood as the local dirt coefficient at the pixel point position.

[0009] Further, determining the overall cleaning degree of the last frame of the current frequency modulation period according to the degree of large dirt in all adjacent frames and the gray value of the pixel points in the area to be cleaned in the last frame of the current frequency modulation period includes: Determining the periodic cleaning index of the current frequency modulation period according to the numerical change of the degree of large dirt in all adjacent frames; Normalize the average gray value of all pixel points in the area to be cleaned in the last frame of the current FM period as the gray representation index; Calculate the product value of the cycle cleaning index and the gray representation index, and normalize it as the overall cleaning degree.

[0010] Further, determining the cycle cleaning index of the current FM period according to the numerical change of the large dirt degree in all adjacent frames includes: Taking the time of adjacent frames as the abscissa and the large dirt degree as the ordinate, construct a two-dimensional coordinate system to determine the coordinate points of the large dirt degree of all adjacent frames; connect the coordinate points in time sequence and perform linear fitting to determine the slope of the fitting line; Take the absolute value of the slope as the cycle cleaning index of the current FM period.

[0011] Further, adjusting the cleaning frequency of the next FM period according to the overall cleaning degree includes: Linearly map the overall cleaning degree to between (1, 2) as the adjustment coefficient; Calculate the product value of the initial cleaning frequency and the adjustment coefficient as the cleaning frequency of the next FM period.

[0012] Further, the initial cleaning frequency is 40KHz.

[0013] On the other hand, a disinfection and sterilization device for oral medical devices is also provided. The device includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the method described in any one of the foregoing are implemented.

[0014] The present invention has the following beneficial effects: In the embodiments of the present invention, by setting an initial cleaning frequency, the oral medical devices after soaking are cleaned within the current frequency modulation period and continuous-frame images are captured. Through the changes in the continuous-frame images, subsequent clear analysis of the oral medical devices is realized, providing a data basis; the areas to be cleaned of the oral medical devices in the images are determined, and according to the changes in the gray values and positions of the pixel points in the areas to be cleaned in adjacent frames, the cleaning effect indicators of each pixel point in adjacent frames are determined; by combining the cleaning effect indicators of the pixel points and other pixel points within a preset first neighborhood, all pixel points in the areas to be cleaned in adjacent frames are analyzed to obtain the degree of large dirt in adjacent frames; by determining the cleaning effect indicators, the cleaning effects in different periods are analyzed to facilitate subsequent realization of efficient cleaning; according to the degree of large dirt in all adjacent frames and the gray values of the pixel points in the last frame of the current frequency modulation period in the areas to be cleaned, the overall cleaning degree of the last frame of the current frequency modulation period is determined; the cleaning frequency of the next frequency modulation period is adjusted according to the overall cleaning degree. Compared with directly cleaning by a fixed frequency or multiple fixed frequencies, in the embodiments of the present invention, the overall cleaning degree is determined by the degree of large dirt obtained from the continuous-frame images captured during the cleaning of the oral medical devices within the frequency modulation period, and then the ultrasonic cleaning frequency of the next cycle is continuously adjusted until the timeout oscillation cleaning is completed to achieve the optimal cleaning effect, so as to dynamically adjust the frequency of the ultrasonic disinfection machine according to the cleaning and disinfection status of the oral medical devices, perform reasonable cleaning and disinfection for different dirt, and improve the oscillation cleaning and disinfection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following-described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is a flowchart of a disinfection and sterilization method for oral medical devices provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of an ultrasonic disinfection machine provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] To further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following specifically describes, in conjunction with the accompanying drawings and preferred embodiments, a disinfection and sterilization method and a disinfection and sterilization device for oral medical devices according to the present invention, including their specific implementation manners, structures, features, and effects. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this invention belongs.

[0019] The following specifically describes, in conjunction with the accompanying drawings, the specific solution of a disinfection and sterilization method for oral medical devices provided by the present invention.

[0020] Please refer to Figure 1 , which shows a flowchart of a disinfection and sterilization method for oral medical devices provided by an embodiment of the present invention. The method includes: S101: Set the initial cleaning frequency, and clean the soaked oral medical devices within the current frequency modulation cycle and capture consecutive frames of images.

[0021] Oral medical devices refer to various instruments used in medical processes such as oral diagnosis, examination, and surgery, including diagnostic instruments such as oral mirrors, dental probes, and dental pliers, as well as surgical instruments such as scalpels and scissors, and other types of medical devices.

[0022] In an embodiment of the present invention, oral medical devices can be pre-soaked in a chlorine-containing disinfectant for one hour, and then placed in an ultrasonic disinfection machine containing a multi-enzyme disinfectant for cleaning and disinfection. Refer to Figure 2 , Figure 2 which is a schematic diagram of an ultrasonic disinfection machine provided by an embodiment of the present invention; load the soaked oral medical devices into the cleaning basket and perform ultrasonic cleaning and disinfection using a multi-enzyme disinfectant.

[0023] The principle of the synergistic effect of the multi-enzyme disinfectant and the ultrasonic disinfection machine is as follows: The cavitation effect generated by ultrasonic waves can form tiny shock waves and fluid flows, helping the multi-enzyme to penetrate deeply into every detail of the instrument, effectively removing fine stains and microorganisms. The multi-enzyme decomposes the molecular structure of the dirt, making it loose, while the ultrasonic waves use the physical effect of high-frequency fluctuations to completely remove these loose dirt from the surface and gaps of the instrument.

[0024] It should be noted that the initial cleaning frequency in the embodiments of the present invention is 40KHz, and the frequency modulation period is set to 1 minute. First, the oral medical devices soaked in chlorine-containing disinfectant for one hour are cleaned and disinfected at a cleaning frequency of 40KHz for 1 minute continuously. At the same time, a camera continuously takes images during the ultrasonic cleaning and disinfection process at a frame rate of one frame per second.

[0025] It should be noted that the camera can be a waterproof camera, that is, the camera can take pictures of oral medical devices underwater.

[0026] S102: Determine the area to be cleaned of the oral medical device in the image. According to the change in the gray value and the position of the pixel points in the area to be cleaned in adjacent frames, determine the cleaning effect index of each pixel point in adjacent frames; combine the cleaning effect indexes of the pixel points and other pixel points in the preset first neighborhood, and analyze all the pixel points in the area to be cleaned in adjacent frames to obtain the degree of large dirt in adjacent frames.

[0027] It should be noted that for oral medical devices, the position of their usage end needs to be cleaned and disinfected with emphasis. Therefore, the position of the usage end is used as the area to be cleaned. The usage end is usually made of alloy and has a sharp feature. Based on this, the analysis of the area to be cleaned is realized.

[0028] Determining the area to be cleaned of the oral medical device in the image includes: using image feature extraction to obtain the medical device area; when the number of other pixel points belonging to the medical device area in the preset second neighborhood of any pixel point in the medical device area is less than half, determine the pixel points belonging to the tip position of the medical device; the area composed of all the tip position pixel points is used as the area to be cleaned.

[0029] Among them, image feature extraction is a feature extraction algorithm well-known to those skilled in the art, which can identify the medical device area based on the features of the medical device. Of course, methods such as threshold segmentation can also be used. For example, the area with a gray value greater than 150 is used as the medical device area.

[0030] Among them, the preset second neighborhood can specifically be a circular area with a radius of 5 centered on the pixel point. That is, for any pixel point in the medical device area, according to the number of other pixel points belonging to the medical device area in the circular area centered on it, determine the pixel points belonging to the tip position of the medical device.

[0031] It should be noted that since the using end needs to be able to precisely process those small and hard-to-reach areas in the oral cavity, such as tooth gaps, gum edges, etc., the using end presents a tip characteristic. When presenting the tip feature, it usually appears as an edge feature, that is, located at the edge of the medical device area, such as the position of the knife edge or the tip of the tweezers. The number of pixel points belonging to the medical device around it is small. In the embodiments of the present invention, the pixel points with the number of other pixel points belonging to the medical device area in the preset second neighborhood less than half are used as the pixel points belonging to the tip position of the medical device, and the pixel points of the tip are obtained. And all the pixel points at the tip positions are combined to form the area to be cleaned.

[0032] Because the parts where the instrument contacts the oral cavity are usually the key areas in the cleaning process, the removal of dirt in these areas directly affects the evaluation of the cleaning effect. During the ultrasonic cleaning and disinfection process, the area to be cleaned is not directly and precisely cleaned and disinfected. Only because the area to be cleaned contacts the oral cavity, the cleaning situation can be effectively analyzed based on the characteristics of this area, avoiding the problem of low efficiency when analyzing the entire medical device area.

[0033] Since the dirt is continuously washed away and dissipated during the cleaning process, the surface of the medical device becomes clean and presents a gray-scale change in the image. In the embodiments of the present invention, the cleaning effect index of each pixel point in the adjacent frames can be determined according to the gray-scale value change and the pixel point position of the pixel points in the area to be cleaned in the adjacent frames.

[0034] Further, in some embodiments of the present invention, determining the cleaning effect index of each pixel point in the adjacent frames according to the gray-scale value change and the pixel point position of the pixel points in the area to be cleaned in the adjacent frames includes: determining the difference in the gray-scale values of the pixel points at the same position in the area to be cleaned between any frame and the previous frame as the gray-scale change value of the corresponding pixel point; determining the Euclidean distance between the pixel point and the morphological center of the area composed of all the pixel points at the tip positions, and normalizing the negative value of the Euclidean distance as the distance weight; calculating the product value of the gray-scale change value and the distance weight to obtain the cleaning effect index of the pixel point in the corresponding adjacent frames.

[0035] Since the medical device is usually made of alloy material and has a smooth surface, its gray-scale value is large. When it is contaminated by dirt, the gray-scale value becomes smaller, and when the dirt is washed away, the gray-scale value becomes higher. Therefore, in the adjacent frames, the increase in the gray-scale value can be used to analyze the cleaning effect. Calculate the difference in the gray-scale values of the pixel points at the same position in the area to be cleaned between any frame and the previous frame as the gray-scale change value of the corresponding pixel point. The higher the value of the gray-scale change value, the more effectively the dirt is removed.

[0036] Meanwhile, since the central position of the area to be cleaned of oral medical devices usually requires more attention, the morphological center of the area composed of all the pixel points at the tip positions can represent the morphological center point of the corresponding area to be cleaned. The closer to this point, the better it can represent the overall cleaning and disinfection status. Around the area to be cleaned, since the dirt content is less than that in the central area, the weight for cleaning and disinfection analysis at this position is smaller. Therefore, in the embodiments of the present invention, the negative reciprocal of the Euclidean distance is normalized as the distance weight to achieve weight analysis.

[0037] In the embodiments of the present invention, the product value of the grayscale change value and the distance weight is calculated to obtain the cleaning effect index of the pixel point in the corresponding adjacent frames. The cleaning effect index is the index information obtained by combining the grayscale change in the adjacent frames and the attention weight of the pixel point itself.

[0038] Further, in some embodiments of the present invention, by combining the cleaning effect indexes of the pixel point and other pixel points in the preset first neighborhood, all the pixel points in the area to be cleaned in the adjacent frames are analyzed to obtain the degree of large dirt in the adjacent frames, including: determining the local dirt coefficient at the position of the pixel point according to the difference in the cleaning effect indexes between the pixel point and other pixel points in the preset first neighborhood; calculating the sum value of the local dirtiness at the positions of all the pixel points in the area to be cleaned as the degree of large dirt.

[0039] Among them, large dirt refers to the pollutants with a larger volume to be cleaned. Since large dirt usually forms a relatively concentrated area in the image and the boundary has a large gap with the surrounding pixel points, in comparison, the tiny impurities are more scattered and the dirtiness gap with the surrounding pixel points is small. Therefore, the cleaning effect indexes of all the pixel points in the area to be cleaned in the adjacent frames can be combined for analysis to obtain the degree of large dirt in the adjacent frames.

[0040] Since large dirt has an aggregation effect, first, the dirt situation of the pixel point itself in the preset first neighborhood is analyzed to obtain the aggregation effect.

[0041] Further, in some embodiments of the present invention, the preset first neighborhood is an eight-neighborhood. According to the difference in the cleaning effect indexes between the pixel point and other pixel points in the preset first neighborhood, determining the local dirt coefficient at the position of the pixel point includes: respectively calculating the absolute value of the difference between the cleaning effect indexes of the pixel point and other pixel points in the eight-neighborhood as the index difference; taking the mean value of all the index differences in the eight-neighborhood as the local dirt coefficient at the position of the pixel point.

[0042] The local dirt coefficient represents the local dirtiness of the corresponding pixel point in the adjacent frames. The larger the value, the greater the dirtiness gap compared with the surrounding neighborhood pixel points, and then the pixel point is more likely to belong to the boundary of large dirt.

[0043] Calculate the sum of the local dirtiness at the positions of all pixel points in the area to be cleaned, and use it as the degree of large dirt. The greater the degree of large dirt, the more pixel points that belong to the boundary of the large dirt among all pixel points in the overall analysis, and the greater the overall possibility, that is, the higher the degree of containing large dirt.

[0044] S103: Determine the overall cleaning degree of the last frame of the current frequency modulation period according to the degree of large dirt in all adjacent frames and the gray values of the pixel points in the area to be cleaned in the last frame of the current frequency modulation period.

[0045] During the ultrasonic cleaning and disinfection process of oral medical devices, multiple frames of images are obtained in the initial cleaning frequency within the frequency modulation period. As the cleaning and disinfection process progresses, the large dirt is gradually removed, and at this time, the degree of large dirt changes accordingly. The cleaning degree can be analyzed based on the change in the degree of large dirt and the gray values of the pixel points in the last frame.

[0046] Furthermore, in some embodiments of the present invention, determining the overall cleaning degree of the last frame of the current frequency modulation period according to the degree of large dirt in all adjacent frames and the gray values of the pixel points in the area to be cleaned in the last frame of the current frequency modulation period includes: determining the periodic cleaning index of the current frequency modulation period according to the numerical change of the degree of large dirt in all adjacent frames; normalizing the average gray value of all pixel points in the area to be cleaned in the last frame of the current frequency modulation period as the gray characterization index; calculating the product value of the periodic cleaning index and the gray characterization index, and normalizing it as the overall cleaning degree.

[0047] It can be understood that as the large dirt is gradually removed, the corresponding degree of large dirt gradually decreases, and the greater the rate of decrease in the degree of large dirt, the higher the overall cleaning degree.

[0048] Therefore, in the embodiments of the present invention, determining the periodic cleaning index of the current frequency modulation period according to the numerical change of the degree of large dirt in all adjacent frames includes: taking the time of adjacent frames as the abscissa and the degree of large dirt as the ordinate to construct a two-dimensional coordinate system, and determining the coordinate points of the degree of large dirt of all adjacent frames; connecting the coordinate points in time sequence and performing linear fitting to determine the slope of the fitting line; taking the absolute value of the slope as the periodic cleaning index of the current frequency modulation period.

[0049] Among them, linear fitting can specifically use the least squares method, or other methods can also be used, which is not limited here. The overall downward trend is characterized by the slope of the fitting line. That is, the greater the absolute value of the slope, the faster the degree of large dirt decreases, and the greater the periodic cleaning index of the current frequency modulation period.

[0050] The average gray value of all pixel points in the area to be cleaned in the last frame. The smaller this value is, the more remaining dirt there is and the worse the cleaning effect. Therefore, in the embodiments of the present invention, the product value of the periodic cleaning index and the gray-scale characterization index is calculated and normalized as the overall cleaning degree.

[0051] The larger the periodic cleaning index is, the more effectively the large dirt is removed, and the better the cleaning effect at this time. The smaller the value of the gray-scale characterization index is, the more dirt still needs to be cleaned. Thus, the calculated overall cleaning degree characterizes the cleaning effect in the current frequency modulation period.

[0052] S104: Adjust the cleaning frequency of the next frequency modulation period according to the overall cleaning degree.

[0053] Generally speaking, during the ultrasonic cleaning and disinfection process of oral medical devices, it is usually necessary to first remove larger dirt and then deal with smaller impurities. Therefore, the frequency during the cleaning and disinfection process should start from a smaller value and gradually increase over time. During the ultrasonic cleaning and disinfection process, the overall cleaning degree determined above is the cleaning effect of large dirt, and the higher its value, the higher the completion degree of cleaning large dirt. In this case, in order to further optimize the cleaning effect, the focus should shift to removing tiny impurities. Therefore, on the basis of gradually increasing the cleaning frequency, it is also necessary to adjust the cleaning frequency according to the cleaning progress, so that the frequency can be effectively increased at a certain moment, thereby better removing tiny impurities and making the cleaning and disinfection effect reach the best state at different stages.

[0054] Further, in some embodiments of the present invention, adjusting the cleaning frequency of the next frequency modulation period according to the overall cleaning degree includes: linearly mapping the overall cleaning degree to between (1, 2) as the adjustment coefficient; calculating the product value of the initial cleaning frequency and the adjustment coefficient as the cleaning frequency of the next frequency modulation period.

[0055] That is, by adjusting the cleaning frequency, after the large dirt is removed, it turns to removing tiny impurities, so as to improve the adaptive cleaning accuracy and enhance the cleaning and disinfection effect.

[0056] In the embodiments of the present invention, by setting an initial cleaning frequency, the oral medical devices after soaking are cleaned within the current frequency modulation period and continuous-frame images are captured. Through the changes in the continuous-frame images, subsequent clear analysis of the oral medical devices is realized, providing a data basis. The area to be cleaned of the oral medical device in the image is determined, and according to the gray value change and pixel position of the pixel points in the area to be cleaned in adjacent frames, the cleaning effect index of each pixel point in adjacent frames is determined. Combining the cleaning effect indexes of the pixel points and other pixel points in the preset first neighborhood, all pixel points in the area to be cleaned in adjacent frames are analyzed to obtain the degree of large dirt in adjacent frames. By determining the cleaning effect index, the cleaning effects in different periods are analyzed, facilitating subsequent realization of efficient cleaning. According to the degree of large dirt in all adjacent frames and the gray value of the pixel points in the last frame of the area to be cleaned in the current frequency modulation period, the overall cleaning degree of the last frame in the current frequency modulation period is determined. The cleaning frequency of the next frequency modulation period is adjusted according to the overall cleaning degree. Compared with directly cleaning by a fixed frequency or multiple fixed-frequency operation methods, in the embodiments of the present invention, the overall cleaning degree is determined by the degree of large dirt obtained from the continuous-frame images captured during the cleaning of the oral medical device within the frequency modulation period, and then the ultrasonic cleaning frequency of the next cycle is continuously adjusted until the timeout oscillation cleaning is completed to achieve the optimal cleaning effect. Thus, the frequency of the ultrasonic disinfection machine is dynamically adjusted according to the cleaning and disinfection status of the oral medical device to reasonably clean and disinfect different dirt, improving the oscillation cleaning and disinfection efficiency.

[0057] On the other hand, a disinfection and sterilization device for oral medical devices is also provided. The device includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of a disinfection and sterilization method for oral medical devices as described in any one of the foregoing are implemented.

[0058] It should be noted that: the above sequence of the embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0059] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments.

Claims

1. A disinfection and sterilization method for oral medical devices, characterized in that, The method includes: Setting an initial cleaning frequency, cleaning the soaked oral medical devices within the current frequency modulation period, and taking consecutive-frame images. Determining the area to be cleaned of the oral medical devices in the image. According to the gray value change and pixel position of the pixels in the area to be cleaned in adjacent frames, determining the cleaning effect index of each pixel in adjacent frames. Combining the cleaning effect indexes of the pixel and other pixels within a preset first neighborhood, analyzing all the pixels in the area to be cleaned in adjacent frames to obtain the degree of large dirt in adjacent frames. Determining the overall cleaning degree of the last frame in the current frequency modulation period according to the degree of large dirt in all adjacent frames and the gray value of the pixels in the area to be cleaned in the last frame of the current frequency modulation period. Adjusting the cleaning frequency of the next frequency modulation period according to the overall cleaning degree.

2. The disinfection and sterilization method for oral medical devices according to claim 1, wherein The determining the area to be cleaned of the oral medical devices in the image includes: Using image feature extraction to obtain the medical device area. When the number of other pixels belonging to the medical device area within the preset second neighborhood of any pixel in the medical device area is less than half, determining the pixel belonging to the tip position of the medical device. Taking the area composed of all the tip position pixels as the area to be cleaned.

3. A disinfection and sterilization method for oral medical devices according to claim 1, characterized in that, The determining the cleaning effect index of each pixel in adjacent frames according to the gray value change and pixel position of the pixels in the area to be cleaned in adjacent frames includes: Determining the gray value difference between the pixels at the same position in the area to be cleaned in any frame and the previous frame as the gray change value of the corresponding pixel. Determining the Euclidean distance between the pixel and the morphological center of the area composed of all the tip position pixels, and normalizing the negative value of the Euclidean distance as the distance weight. Calculating the product value of the gray change value and the distance weight to obtain the cleaning effect index of the pixel in the corresponding adjacent frame.

4. A disinfection and sterilization method for oral medical devices according to claim 1, characterized in that, The combining the cleaning effect indexes of the pixel and other pixels within a preset first neighborhood, analyzing all the pixels in the area to be cleaned in adjacent frames to obtain the degree of large dirt in adjacent frames includes: Determining the local dirt coefficient at the pixel position according to the difference in the cleaning effect indexes between the pixel and other pixels within the preset first neighborhood. Calculating the sum value of the local dirtiness at the positions of all the pixels in the area to be cleaned as the degree of large dirt.

5. A disinfection and sterilization method for oral medical devices according to claim 4, characterized in that, The preset first neighborhood is an eight-neighborhood. The determining the local dirt coefficient at the pixel position according to the difference in the cleaning effect indexes between the pixel and other pixels within the preset first neighborhood includes: Respectively calculating the absolute value of the difference in the cleaning effect indexes between the pixel and other pixels within the eight-neighborhood as the index difference. Taking the mean value of all the index differences in the eight-neighborhood as the local dirt coefficient at the pixel position.

6. The disinfection and sterilization method for oral medical devices according to claim 1, wherein The determining the overall cleaning degree of the last frame in the current frequency modulation period according to the degree of large dirt in all adjacent frames and the gray value of the pixels in the area to be cleaned in the last frame of the current frequency modulation period includes: Determining the periodic cleaning index of the current frequency modulation period according to the numerical change of the degree of large dirt in all adjacent frames. Normalizing the mean value of the gray values of all the pixels in the area to be cleaned in the last frame of the current frequency modulation period as the gray characterization index. Calculate the product value of the periodic cleaning index and the grayscale characterization index, and perform normalization processing as the overall cleaning degree.

7. The disinfection and sterilization method for oral medical devices according to claim 6, characterized in that, Determine the periodic cleaning index of the current frequency modulation period according to the numerical change of the large dirt degree under all adjacent frames, including: Construct a two-dimensional coordinate system with the time of adjacent frames as the abscissa and the large dirt degree as the ordinate, and determine the coordinate points of the large dirt degree of all adjacent frames; connect the coordinate points according to the time sequence and perform linear fitting to determine the slope of the fitting line; Take the absolute value of the slope as the periodic cleaning index of the current frequency modulation period.

8. The disinfection and sterilization method for oral medical devices according to claim 1, characterized in that, Adjust the cleaning frequency of the next frequency modulation period according to the overall cleaning degree, including: Linearly map the overall cleaning degree to between (1, 2) as the adjustment coefficient; Calculate the product value of the initial cleaning frequency and the adjustment coefficient as the cleaning frequency of the next frequency modulation period.

9. A disinfection and sterilization method for oral medical devices according to claim 1, characterized in that, The initial cleaning frequency is 40KHz.

10. A disinfection and sterilization device for oral medical devices, the device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 9.

Images