Disinfection and sterilization method and disinfection and sterilization device for oral medical instruments
Through image analysis of oral medical devices and dynamic adjustment of cleaning frequency, the problem of low cleaning and disinfection efficiency in the prior art is solved, and the reasonable cleaning of different dirt is achieved, and the cleaning effect is improved.
Patent Information
- Application Number
- CN202510884330.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2025-09-02
- Estimated Expiration
- 2045-06-30
AI Technical Summary
In the prior art, the cleaning and disinfection process of oral medical devices cannot be properly cleaned for different dirts, and the vibration cleaning efficiency is low.
By setting the initial cleaning frequency, the immersed oral medical devices are cleaned within the current frequency regulation cycle and the images are taken in succession frames, the grayscale value changes of the areas to be cleaned and the pixel points in the image are analyzed, the cleaning effect indicators are determined, the ultrasonic cleaning frequency is adjusted according to the overall cleaning level, and the cleaning frequency is dynamically adjusted to reasonably clean different dirt.
It realizes efficient cleaning of oral medical devices, improves the efficiency of vibration cleaning and disinfection, and ensures the complete removal of different dirt.
Smart Images
Figure CN120381547B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of ultrasonic disinfection, and in particular to a disinfection and sterilization method and a disinfection and sterilization device for oral medical instruments. Background Art
[0002] Oral medical devices refer to various instruments used in medical procedures such as oral diagnosis, examination, and surgery. These include diagnostic instruments such as dental mirrors, dental probes, and dental forceps, as well as surgical instruments such as scalpels and scissors, among other types of medical devices. Because direct contact between patients and medical devices is unavoidable during oral treatment and examination, unsterilized instruments can become a medium for the spread of pathogens, leading to cross-infection between different patients. The risk of infection is particularly prominent during dental surgery and treatment. Therefore, disinfection and sterilization of oral medical devices is crucial.
[0003] In the related art, a fixed cleaning frequency is set through ultrasonic disinfection equipment, or the cleaning frequency is gradually increased in steps to achieve the dirt cleaning effect. In this way, since the dirt included includes large dirt (such as oral stone residues) and small dirt (such as oral tissue, etc.), different sizes of dirt can be efficiently removed through different cleaning frequencies. Therefore, the cleaning and disinfection process in the related art cannot reasonably clean and disinfect different dirt, and the oscillation cleaning efficiency is low. Summary of the Invention
[0004] In order to solve the technical problems in the related art that the cleaning and disinfection process cannot reasonably clean and disinfect different dirt and the vibration cleaning efficiency is low, the present invention provides a disinfection and sterilization method and disinfection and sterilization device for oral medical devices. The technical solutions adopted are as follows:
[0005] The present invention provides a method and apparatus for disinfecting and sterilizing oral medical instruments, the method comprising:
[0006] Set the initial cleaning frequency, clean the soaked oral medical instruments within the current frequency modulation cycle and capture continuous frame images;
[0007] Determine the area to be cleaned of the oral medical device in the image, and determine the cleaning effect index of each pixel in the adjacent frames based on the grayscale value change and pixel position of the pixel in the area to be cleaned in the adjacent frames; combine the cleaning effect index of the pixel and other pixels in the preset first neighborhood, analyze all pixels in the area to be cleaned in the adjacent frames, and obtain the degree of gross contamination in the adjacent frames;
[0008] Determine the overall cleanliness level of the last frame of the current frequency modulation cycle based on the degree of gross contamination in all adjacent frames and the grayscale value of the pixel points in the area to be cleaned in the last frame of the current frequency modulation cycle;
[0009] The cleaning frequency of the next frequency modulation cycle is adjusted according to the overall cleaning degree.
[0010] Furthermore, determining the area to be cleaned of the oral medical device in the image includes:
[0011] Extracting image features to obtain a medical device region; determining a pixel point belonging to a tip position of the medical device when the number of other pixels belonging to the medical device region within a preset second neighborhood of any pixel point in the medical device region is less than half;
[0012] The area composed of all the pixel points at the tip position is regarded as the area to be cleaned.
[0013] Furthermore, determining the cleaning effect index of each pixel point in the adjacent frames according to the grayscale value change and pixel position of the pixel point in the area to be cleaned in the adjacent frames includes:
[0014] Determine the grayscale value difference between any frame and the previous frame of the pixel at the same position in the area to be cleaned as the grayscale change value of the corresponding pixel;
[0015] Determine the Euclidean distance between the pixel point and the morphological center of the area composed of all the tip position pixels, and normalize the inverse of the Euclidean distance as the distance weight;
[0016] The product of the grayscale change value and the distance weight is calculated to obtain the cleaning effect index of the pixel in the corresponding adjacent frames.
[0017] Furthermore, the cleaning effect index of the combined pixel point and other pixel points in the preset first neighborhood is analyzed for all pixel points in the to-be-cleaned area of adjacent frames to obtain the degree of gross contamination in adjacent frames, including:
[0018] Determine the local dirt coefficient at the pixel point location based on the difference in cleaning effect index between the pixel point and other pixels in a preset first neighborhood;
[0019] The sum of the local contamination coefficients at all pixel locations in the area to be cleaned is calculated as the maximum contamination level.
[0020] Furthermore, the preset first neighborhood is an eight-neighborhood neighborhood, and determining the local dirt coefficient at the pixel point position according to the difference in cleaning effect index between the pixel point and other pixels in the preset first neighborhood includes:
[0021] Calculate the absolute value of the difference between the cleaning effect index of the pixel point and other pixels in the eight neighborhoods as the index difference;
[0022] The mean of all indicator differences in the eight neighborhoods is taken as the local dirt coefficient at the pixel location.
[0023] Furthermore, determining the overall cleanliness level of the last frame of the current frequency modulation cycle based on the gross contamination levels of all adjacent frames and the grayscale values of the pixels of the area to be cleaned in the last frame of the current frequency modulation cycle includes:
[0024] Determine the periodic cleanliness index of the current frequency modulation period according to the numerical changes of the large dirt levels in all adjacent frames;
[0025] The average grayscale value of all pixels in the area to be cleaned in the last frame of the current frequency modulation cycle is normalized and used as the grayscale representation index;
[0026] The product value of the periodic cleaning index and the grayscale characterization index is calculated and normalized to obtain the overall cleaning degree.
[0027] Furthermore, determining the periodic cleaning index of the current frequency modulation period according to the numerical changes of the large dirt levels in all adjacent frames includes:
[0028] A two-dimensional coordinate system is constructed with the time of adjacent frames as the horizontal coordinate and the degree of severe contamination as the vertical coordinate to determine the coordinate points of the severe contamination degree of all adjacent frames; the coordinate points are connected in time sequence and a straight line is fitted to determine the slope of the fitted line;
[0029] The absolute value of the slope is used as a cycle cleanliness indicator of the current frequency modulation cycle.
[0030] Furthermore, adjusting the cleaning frequency of the next frequency modulation cycle according to the overall cleaning degree includes:
[0031] Linearly mapping the overall cleanliness level to (1, 2) as an adjustment coefficient;
[0032] The product value of the initial cleaning frequency and the adjustment coefficient is calculated as the cleaning frequency of the next frequency modulation cycle.
[0033] Furthermore, the initial cleaning frequency is 40KHz.
[0034] On the other hand, a disinfection and sterilization device for oral medical instruments is also provided, which 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 any of the methods described above are implemented.
[0035] The present invention has the following beneficial effects:
[0036] In an embodiment of the present invention, by setting an initial cleaning frequency, the soaked oral medical device is cleaned within the current frequency modulation cycle and continuous frame images are taken. Through the changes in the continuous frame images, a clear analysis of the oral medical device is achieved subsequently, providing a data basis; the area to be cleaned of the oral medical device in the image is determined, and the cleaning effect index of each pixel point in the adjacent frame is determined according to the grayscale value change and pixel position of the pixel points in the area to be cleaned under the adjacent frame; all pixel points in the area to be cleaned in the adjacent frames are analyzed in combination with the cleaning effect index of the pixel point and other pixel points in the preset first neighborhood to obtain the large degree of dirt under the adjacent frame; by determining the cleaning effect index, the cleaning effect under different cycles is analyzed to facilitate the subsequent efficient cleaning; the overall cleanliness level of the last frame of the current frequency modulation cycle is determined according to the large degree of dirt under all adjacent frames and the grayscale value of the pixel point in the area to be cleaned in the last frame of the current frequency modulation cycle; the cleaning frequency of the next frequency modulation cycle is adjusted according to the overall cleanliness level. Compared with cleaning directly through a fixed frequency or multiple fixed frequencies, the embodiment of the present invention determines the overall cleaning degree by the maximum degree of dirt obtained from the continuous frame images of the oral medical device taken during the frequency modulation period, and then continuously adjusts the next ultrasonic cleaning frequency until the timeout oscillation cleaning is completed and the optimal cleaning effect is achieved. The frequency of the ultrasonic disinfector is dynamically adjusted according to the cleaning and disinfection status of the oral medical device to reasonably clean and disinfect different dirt and improve the efficiency of oscillation cleaning and disinfection. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0038] Figure 1 A flow chart of a method for disinfection and sterilization of oral medical instruments provided by one embodiment of the present invention;
[0039] Figure 2 A schematic diagram of an ultrasonic disinfection machine provided in one embodiment of the present invention. DETAILED DESCRIPTION
[0040] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail a method and apparatus for disinfecting and sterilizing oral medical instruments, including its specific implementation, structure, features, and effectiveness. In the following description, references to different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
[0041] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0042] The following describes in detail a specific solution of a method for disinfecting and sterilizing oral medical instruments provided by the present invention with reference to the accompanying drawings.
[0043] See also Figure 1 , which shows a flow chart of a method for disinfection and sterilization of oral medical devices provided by one embodiment of the present invention, the method comprising:
[0044] S101: Setting an initial cleaning frequency, cleaning the soaked oral medical device within the current frequency modulation cycle and capturing continuous frame images.
[0045] Oral medical devices refer to various instruments used in medical processes such as oral diagnosis, examination and surgery, including diagnostic instruments such as dental mirrors, dental probes, dental pliers, as well as surgical instruments such as scalpels and scissors, and other types of medical devices.
[0046] In the embodiment of the present invention, the oral medical device can be pre-soaked in a chlorine-containing disinfectant for one hour, and then placed in an ultrasonic disinfector containing a multi-enzyme disinfectant for cleaning and disinfection. Figure 2 , Figure 2 This is a schematic diagram of an ultrasonic disinfector provided by an embodiment of the present invention; soaked oral medical instruments are placed in a cleaning basket and ultrasonic cleaning and disinfection are performed using a multi-enzyme disinfectant.
[0047] The synergistic effect of multi-enzyme disinfectants and ultrasonic disinfection machines is based on the principle that the cavitation effect of ultrasound creates tiny shock waves and fluid streams, helping the multi-enzymes penetrate deeply into every detail of instruments, effectively removing minute stains and microorganisms. The multi-enzymes break down the molecular structure of dirt, loosening it, while ultrasound, through the physical effects of high-frequency waves, thoroughly removes this loosened dirt from instrument surfaces and crevices.
[0048] It should be noted that the initial cleaning frequency in this embodiment of the present invention is 40 kHz, and the frequency modulation period is set to 1 minute. First, oral medical instruments, which have been immersed in a chlorine-containing disinfectant for one hour, are cleaned and disinfected at a cleaning frequency of 40 kHz for one minute. Simultaneously, a camera is used to continuously capture images of the ultrasonic cleaning and disinfection process at a frame rate of one frame per second.
[0049] It should be noted that the camera can be a waterproof camera, that is, the camera can take pictures of oral medical devices underwater.
[0050] S102: Determine the area to be cleaned of the oral medical device in the image, and determine the cleaning effect index of each pixel point in the adjacent frames according to the grayscale value change and pixel position of the pixel points in the area to be cleaned in the adjacent frames; combine the pixel point and the cleaning effect index of other pixel points in the preset first neighborhood, analyze all the pixel points in the area to be cleaned in the adjacent frames, and obtain the gross contamination degree in the adjacent frames.
[0051] It should be noted that for oral medical devices, the most important area for cleaning and disinfection is the end of the device. Therefore, the end of the device is considered the area to be cleaned. The end of the device is usually made of alloy and has sharp features, which is used to analyze the area to be cleaned.
[0052] Determining an area to be cleaned of an oral medical device in an image includes: obtaining a medical device area using image feature extraction; determining a pixel point belonging to a tip position of the medical device when the number of other pixel points belonging to the medical device area within a preset second neighborhood at any pixel point in the medical device area is less than half; and taking an area composed of all pixel points at the tip position as an area to be cleaned.
[0053] Among them, image feature extraction is a feature extraction algorithm well known to those skilled in the art, which can obtain the medical device area based on medical device feature recognition. Of course, threshold segmentation and other methods can also be used, for example, the area with a grayscale value greater than 150 is used as the medical device area.
[0054] Among them, the preset second neighborhood can be specifically a circular area with a radius of 5 and a pixel point as the center. That is, at any pixel point in the medical device area, the pixel point belonging to the tip position of the medical device is determined based on the number of other pixel points belonging to the medical device area in the circular area with the pixel point as the center.
[0055] It should be noted that, since the user end needs to be able to accurately process those small and difficult-to-reach areas in the oral cavity, such as the gaps between teeth and the edge of the gums, the user end presents a tip feature. When presenting the tip feature, it is usually manifested as an edge feature, that is, the edge of the medical device area, such as the position of the blade of a knife or the tip of a tweezers, where the number of pixels belonging to the medical device around it is relatively small. In this embodiment of the present invention, the pixel points that are less than half of the number of other pixels belonging to the medical device area in the preset second neighborhood are regarded as the pixel points belonging to the tip position of the medical device, thereby obtaining the pixel points of the tip. And the pixel points at all the tip positions are combined into the area to be cleaned.
[0056] Because the areas where instruments come into contact with the oral cavity are usually the key areas of the cleaning process, the dirt removal 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 accurately cleaned and disinfected. Only the area to be cleaned comes into contact with the oral cavity. Therefore, the cleaning situation can be effectively analyzed directly based on the characteristics of this area, avoiding the low efficiency problem when analyzing the entire medical device area.
[0057] Since dirt is continuously cleaned and dissipated during the cleaning process, the surface of the medical device becomes neat and tidy, and grayscale changes appear in the image. In an embodiment of the present invention, the cleaning effect index of each pixel point in the adjacent frames can be determined based on the grayscale value changes and pixel positions of the pixel points in the area to be cleaned in the adjacent frames.
[0058] Furthermore, in some embodiments of the present invention, the cleaning effect index of each pixel point in the adjacent frames is determined based on the grayscale value change and pixel position of the pixel points in the area to be cleaned in the adjacent frames, including: determining the grayscale 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 grayscale 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 tip position pixels, and normalizing the opposite of the Euclidean distance as the distance weight; calculating the product value of the grayscale change value and the distance weight to obtain the cleaning effect index of the pixel point in the corresponding adjacent frames.
[0059] Because medical devices are typically made of alloy and have smooth surfaces, their grayscale values are relatively high. However, contamination reduces the grayscale value, while cleaning removes the contaminant, increasing the grayscale value. Therefore, the increase in grayscale value between adjacent frames can be used to analyze cleaning effectiveness. The grayscale change value for a pixel at the same location in the cleaned area in any frame is calculated between the previous frame and the grayscale value at the previous frame. A higher grayscale change value indicates more effective contaminant removal.
[0060] At the same time, because the center of the area to be cleaned for oral medical instruments is generally of particular concern, the morphological center of the area formed by all the pixels at the tip locations can be used to represent the morphological center point of the corresponding area to be cleaned. The closer to this point, the more representative it is of the overall cleaning and disinfection status. Since the dirt content around the area to be cleaned is lower than that in the center, the weight assigned to these locations in the cleaning and disinfection analysis is lower. Therefore, in this embodiment of the present invention, the inverse of the Euclidean distance is normalized as the distance weight to implement weighted analysis.
[0061] In the embodiment of the present invention, the product of the grayscale change value and the distance weight is calculated to obtain the cleaning effect index of the pixel 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 itself.
[0062] Furthermore, in some embodiments of the present invention, all pixel points in the area to be cleaned in adjacent frames are analyzed in combination with the cleaning effect index of the pixel point and other pixel points in the preset first neighborhood to obtain the degree of severe contamination in the adjacent frames, including: determining the local contamination coefficient at the pixel point position based on the difference in cleaning effect index between the pixel point and other pixel points in the preset first neighborhood; and calculating the sum of the local contamination coefficients at all pixel points in the area to be cleaned as the degree of severe contamination.
[0063] Among them, large dirt refers to pollutants with larger volumes to be cleaned. Since large dirt usually forms a more concentrated area in the image, the difference between the boundary and the surrounding pixels is large. In comparison, small impurities are more scattered and have a smaller difference in dirtiness from the surrounding pixels. Therefore, the cleaning effect indicators of all pixels in the area to be cleaned in adjacent frames can be combined for analysis to obtain the degree of large dirt in adjacent frames.
[0064] Since large dirt has a clustering effect, the dirt situation of the pixel point itself within the preset first neighborhood is first analyzed to obtain the clustering effect.
[0065] Furthermore, in some embodiments of the present invention, the first neighborhood is preset as an eight-neighborhood, and the local dirt coefficient at the pixel point position is determined based on the difference in cleaning effect indicators between the pixel point and other pixel points in the preset first neighborhood, including: calculating the absolute value of the difference between the cleaning effect indicators of the pixel point and other pixel points in the eight neighborhoods as the indicator difference; and taking the average of all indicator differences in the eight neighborhoods as the local dirt coefficient at the pixel point position.
[0066] The local dirt coefficient represents the local dirt coefficient of the corresponding pixel in the adjacent frames. The larger the value, the greater the difference in dirtiness compared with the surrounding neighborhood pixels, and the more likely the pixel is to belong to the boundary of large dirt.
[0067] The sum of the local dirt coefficients at all pixel positions in the area to be cleaned is calculated as the degree of large dirt. The greater the degree of large dirt, the greater the overall probability, that is, the higher the degree of large dirt.
[0068] S103: Determine the overall cleanliness level of the last frame of the current frequency modulation cycle according to the gross dirt levels of all adjacent frames and the grayscale values of the pixels of the area to be cleaned in the last frame of the current frequency modulation cycle.
[0069] During the ultrasonic cleaning and disinfection process of oral medical instruments, multiple frames of images are captured within the frequency modulation cycle at the initial cleaning frequency. As the cleaning and disinfection process progresses, large contaminants are gradually removed, and the degree of contamination changes accordingly. This change in contamination and the grayscale value of the pixels in the final frame can be used to analyze the degree of cleanliness.
[0070] Furthermore, in some embodiments of the present invention, the overall cleanliness level of the last frame of the current frequency modulation cycle is determined based on the gross contamination levels in all adjacent frames and the grayscale values of the pixels in the area to be cleaned in the last frame of the current frequency modulation cycle, including: determining the periodic cleaning index of the current frequency modulation cycle based on the numerical changes in the gross contamination levels in all adjacent frames; normalizing the average grayscale values of all pixels in the area to be cleaned in the last frame of the current frequency modulation cycle as a grayscale characterization index; calculating the product value of the periodic cleaning index and the grayscale characterization index, and normalizing the result as the overall cleanliness level.
[0071] It can be understood that as the large dirt is gradually removed, the corresponding large dirt level gradually decreases, and the faster the large dirt level decreases, the higher the overall cleaning level.
[0072] Therefore, in an embodiment of the present invention, the periodic cleanliness index of the current frequency modulation cycle is determined based on the numerical changes in the degree of severe contamination in all adjacent frames, including: constructing a two-dimensional coordinate system with the time of adjacent frames as the horizontal coordinate and the degree of severe contamination as the vertical coordinate to determine the coordinate points of the degree of severe contamination in all adjacent frames; connecting the coordinate points in time sequence and performing straight line fitting to determine the slope of the fitted straight line; and using the absolute value of the slope as the periodic cleanliness index of the current frequency modulation cycle.
[0073] Among them, the linear fitting can specifically use the least squares method, or other methods can be used, without limitation, and the slope of the fitted straight line is used to represent the overall downward trend, that is, the larger the absolute value of the slope, the faster the degree of large pollution decreases, and the greater the periodic cleaning index of the current frequency modulation cycle.
[0074] The average grayscale value of all pixels in the area to be cleaned in the last frame. The smaller the value, the more residual dirt and the poorer the cleaning effect. Therefore, in an embodiment of the present invention, the product value of the periodic cleaning index and the grayscale characterization index is calculated and normalized as the overall cleaning degree.
[0075] The larger the cycle cleaning index is, the more effectively the large dirt is removed, and the better the cleaning effect is. The smaller the value of the grayscale characterization index is, the more dirt still needs to be cleaned. Therefore, the calculated overall cleaning degree represents the cleaning effect under the current frequency modulation cycle.
[0076] S104: Adjust the cleaning frequency of the next frequency modulation cycle according to the overall cleaning degree.
[0077] Generally speaking, during the ultrasonic cleaning and disinfection process of oral medical devices, it is usually necessary to remove larger dirt first and then deal with smaller impurities. Therefore, the frequency in 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. The higher the value, the higher the cleaning completion of large dirt. In this case, in order to further optimize the cleaning effect, the focus should be shifted 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 is effectively improved at a certain moment, thereby better removing tiny impurities and making the cleaning and disinfection effect reach the best state at different stages.
[0078] Furthermore, in some embodiments of the present invention, the cleaning frequency of the next frequency modulation cycle is adjusted according to the overall cleanliness level, including: linearly mapping the overall cleanliness level to between (1, 2) as an adjustment coefficient; calculating the product value of the initial cleaning frequency and the adjustment coefficient as the cleaning frequency of the next frequency modulation cycle.
[0079] That is, by adjusting the cleaning frequency, after removing large impurities, we turn to the removal of small impurities to improve the adaptive cleaning accuracy and enhance the cleaning and disinfection effect.
[0080] In an embodiment of the present invention, by setting an initial cleaning frequency, the soaked oral medical device is cleaned within the current frequency modulation cycle and continuous frame images are taken. Through the changes in the continuous frame images, a clear analysis of the oral medical device is achieved subsequently, providing a data basis; the area to be cleaned of the oral medical device in the image is determined, and the cleaning effect index of each pixel point in the adjacent frame is determined according to the grayscale value change and pixel position of the pixel points in the area to be cleaned under the adjacent frame; all pixel points in the area to be cleaned in the adjacent frames are analyzed in combination with the cleaning effect index of the pixel point and other pixel points in the preset first neighborhood to obtain the large degree of dirt under the adjacent frame; by determining the cleaning effect index, the cleaning effect under different cycles is analyzed to facilitate the subsequent efficient cleaning; the overall cleanliness level of the last frame of the current frequency modulation cycle is determined according to the large degree of dirt under all adjacent frames and the grayscale value of the pixel point in the area to be cleaned in the last frame of the current frequency modulation cycle; the cleaning frequency of the next frequency modulation cycle is adjusted according to the overall cleanliness level. Compared with cleaning directly through a fixed frequency or multiple fixed frequencies, the embodiment of the present invention determines the overall cleaning degree by the maximum degree of dirt obtained from the continuous frame images of the oral medical device taken during the frequency modulation period, and then continuously adjusts the next ultrasonic cleaning frequency until the timeout oscillation cleaning is completed and the optimal cleaning effect is achieved. The frequency of the ultrasonic disinfector is dynamically adjusted according to the cleaning and disinfection status of the oral medical device to reasonably clean and disinfect different dirt and improve the efficiency of oscillation cleaning and disinfection.
[0081] On the other hand, a disinfection and sterilization device for oral medical instruments is also provided, which 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 instruments as described in any one of the above items are implemented.
[0082] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0083] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.
Claims
1. A method for disinfection and sterilization of oral medical instruments, characterized in that: The method comprises: Set the initial cleaning frequency, clean the soaked oral medical instruments within the current frequency modulation cycle and capture continuous frame images; Determine the area to be cleaned of the oral medical device in the image, and determine the cleaning effect index of each pixel in the adjacent frames based on the grayscale value change and pixel position of the pixel in the area to be cleaned in the adjacent frames; combine the cleaning effect index of the pixel and other pixels in the preset first neighborhood, analyze all pixels in the area to be cleaned in the adjacent frames, and obtain the degree of gross contamination in the adjacent frames; Determine the overall cleanliness level of the last frame of the current frequency modulation cycle based on the degree of gross contamination in all adjacent frames and the grayscale value of the pixel points in the area to be cleaned in the last frame of the current frequency modulation cycle; adjusting the cleaning frequency of the next frequency modulation cycle according to the overall cleaning degree; Determining the overall cleanliness level of the last frame of the current frequency modulation cycle based on the degree of gross contamination in all adjacent frames and the grayscale value of the pixel points of the area to be cleaned in the last frame of the current frequency modulation cycle includes: Determine the periodic cleanliness index of the current frequency modulation period according to the numerical changes of the large dirt levels in all adjacent frames; The average grayscale value of all pixels in the area to be cleaned in the last frame of the current frequency modulation cycle is normalized and used as the grayscale representation index; Calculating the product of the periodic cleaning index and the grayscale characterization index, and normalizing the result to obtain the overall cleaning degree; Determining the periodic cleaning index of the current frequency modulation period according to the numerical changes of the large dirt levels in all adjacent frames includes: A two-dimensional coordinate system is constructed with the time of adjacent frames as the horizontal coordinate and the degree of severe contamination as the vertical coordinate to determine the coordinate points of the severe contamination degree of all adjacent frames; the coordinate points are connected in time sequence and a straight line is fitted to determine the slope of the fitted line; The absolute value of the slope is used as a cycle cleanliness indicator of the current frequency modulation cycle.
2. A method for disinfection and sterilization of oral medical instruments according to claim 1, characterized in that: Determining the area to be cleaned of the oral medical device in the image includes: Extracting image features to obtain a medical device region; determining a pixel point belonging to a tip position of the medical device when the number of other pixels belonging to the medical device region within a preset second neighborhood of any pixel point in the medical device region is less than half; The area composed of all the pixel points at the tip position is regarded as the area to be cleaned.
3. A method for disinfection and sterilization of oral medical instruments according to claim 1, characterized in that: Determining the cleaning effect index of each pixel point in the adjacent frames according to the grayscale value change and pixel position of the pixel point in the area to be cleaned in the adjacent frames includes: Determine the grayscale value difference between any frame and the previous frame of the pixel at the same position in the area to be cleaned as the grayscale change value of the corresponding pixel; Determine the Euclidean distance between the pixel point and the morphological center of the area composed of all the tip position pixels, and normalize the inverse of the Euclidean distance as the distance weight; The product of the grayscale change value and the distance weight is calculated to obtain the cleaning effect index of the pixel in the corresponding adjacent frames.
4. A method for disinfection and sterilization of oral medical instruments according to claim 1, characterized in that: The pixel point and the cleaning effect index of other pixels in the preset first neighborhood are combined to analyze all pixels in the to-be-cleaned area of adjacent frames to obtain the degree of gross contamination in adjacent frames, including: Determine the local dirt coefficient at the pixel point location based on the difference in cleaning effect index between the pixel point and other pixels in a preset first neighborhood; The sum of the local contamination coefficients at all pixel locations in the area to be cleaned is calculated as the maximum contamination level.
5. A method for disinfection and sterilization of oral medical instruments according to claim 4, characterized in that: The preset first neighborhood is an eight-neighborhood neighborhood, and determining the local dirt coefficient at the pixel point position according to the difference in cleaning effect index between the pixel point and other pixels in the preset first neighborhood includes: Calculate the absolute value of the difference between the cleaning effect index of the pixel point and other pixels in the eight neighborhoods as the index difference; The mean of all indicator differences in the eight neighborhoods is taken as the local dirt coefficient at the pixel location.
6. A method for disinfection and sterilization of oral medical instruments according to claim 1, characterized in that: The step of adjusting the cleaning frequency of the next frequency modulation cycle according to the overall cleaning degree includes: Linearly mapping the overall cleanliness level to (1, 2) as an adjustment coefficient; The product value of the initial cleaning frequency and the adjustment coefficient is calculated as the cleaning frequency of the next frequency modulation cycle.
7. A method for disinfection and sterilization of oral medical instruments according to claim 1, characterized in that: The initial cleaning frequency is 40KHz.
8. A disinfection and sterilization device for oral medical instruments, 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, the steps of the method according to any one of claims 1 to 7 are implemented.
Citation Information
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