A medical sealing machine sealing detection method, device, electronic equipment and medium

Abstract

The present application relates to the field of slide sealing detection, and in particular to a slide sealing detection method, device, electronic equipment and medium for a medical slide sealing machine. The method includes: after detecting a test instruction, obtaining slide verification information, then extracting data from the slide verification information, determining a water-containing medium value and a suction cup negative pressure value, and then judging whether the water-containing medium value satisfies a preset water-containing medium value. If not, generating a sticking slide processing instruction, controlling a sticking slide processing device to perform a sticking slide processing, and if it satisfies, determining whether the suction cup negative pressure value is less than a preset suction cup negative pressure value. If the suction cup negative pressure value is less than the preset suction cup negative pressure value, generating a debris processing instruction, and controlling a debris processing device to clean up debris. The present application has the effect of improving the accuracy of slide observation.

Description

Technical Field

[0001] The present application relates to the field of slide detection, and in particular to a slide detection method, device, electronic equipment and medium for a medical slide sealing machine. Background Art

[0002] At present, with the gradual advancement of medical technology, in the medical field, in order to facilitate the observation of cells under a microscope, it is necessary to prepare sample slides, and a sealing machine is usually used to prepare the sample slides.

[0003] The sample slide includes a glass slide, a sample, and a cover glass. The cover glass is usually elastic. The cover glass is sucked up by a suction cup from a box of many cover glass slides by a cover glass sealing machine, and then the cover glass is covered on the glass slide containing the sample by rotating to complete the preparation of the sample slide.

[0004] Regarding the above-mentioned related technologies, the inventors believe that in the process of sucking the cover glass from the box, once the cover glass becomes stuck or damaged, the suction cup of the cover glass machine will easily suck up multiple cover glasses or broken cover glasses and cover them on the slide, thereby reducing the accuracy of observation of the slide. Summary of the invention

[0005] In order to improve the accuracy of observation of glass slides, the present application provides a sealing detection method, device, electronic equipment and medium for a medical sealing machine.

[0006] In a first aspect, the present application provides a sealing detection method for a medical sealing machine, which adopts the following technical solution:

[0007] A sealing detection method for a medical sealing machine, comprising:

[0008] When a test instruction is detected, slide verification information is obtained;

[0009] Extracting data from the slide verification information to determine a water-containing medium value and a suction cup negative pressure value;

[0010] Determining whether the aqueous medium value satisfies a preset aqueous medium value;

[0011] If not, a sticking sheet processing instruction is generated to control the sticking sheet processing device to perform sticking sheet processing;

[0012] If it is satisfied, it is determined whether the suction cup negative pressure value is less than the preset suction cup negative pressure value. If the suction cup negative pressure value is less than the preset suction cup negative pressure value, a debris processing instruction is generated to control the debris processing device to clean up the debris.

[0013] By adopting the above technical scheme, when the medical sealing machine is sealing the slide, the verification information of the glass slide adsorbed by the suction cup is obtained, and then the glass slide verification information is extracted to determine the aqueous medium value of the glass slide and the suction cup negative pressure value of the suction cup, and then it is judged whether the aqueous medium value satisfies the preset aqueous medium value. If not, a sticking slide processing instruction is generated to control the sticking slide processing device to perform sticking slide processing. If it is satisfied, it is judged whether the suction cup negative pressure value satisfies the preset suction cup negative pressure value. If it is satisfied, a debris processing instruction is generated to control the debris processing device to clean up the debris. Therefore, in the process of using the suction cup to absorb the glass slide, once the glass slide is stuck or debris occurs, the corresponding sticking slide processing device or debris processing device will perform abnormal processing to avoid affecting the observation accuracy of the glass slide.

[0014] In another possible implementation, the step of generating the sheet sticking processing instruction further includes:

[0015] Analyzing the aqueous medium information to generate the adhesion level information of the glass slide;

[0016] According to the adhesive layer information, material image information is obtained, wherein the material image information is the material between the two glass slides;

[0017] Inputting the material image information into the trained material network model to perform material detection, and obtaining material feature information in the material image information;

[0018] Performing feature recognition on the material feature information to obtain material data information of the material image information;

[0019] Controlling display of the substance data information.

[0020] Through the above technical scheme, when detecting the substance that causes the glass slide to stick, the adhesion level information of the glass slide is generated by analyzing the water-containing medium information, and then the material image information is obtained according to the adhesion level information, and then the material image information is input into the trained material network model for material detection to obtain the material characteristic information of the material image information, and then the material characteristic information is feature recognized to obtain the material data information of the material image information, and the material data information is controlled and displayed, so as to facilitate the staff to deal with the sticking in time.

[0021] In another possible implementation, the inputting the material image information into the trained material network model for material detection may also include:

[0022] Acquire a material training sample, wherein the material training sample includes a material image and material data information corresponding to the material image;

[0023] A material network model is created, and the material network model is trained based on the material training samples to obtain a trained material network model.

[0024] Through the above technical solution, material training samples are collected in advance, and the material training samples include material images and material data information corresponding to the material images. Then, a material network model is created, and the material training samples are input into the material network model to obtain a trained material network model, which is convenient for subsequent identification of material data information.

[0025] In another possible implementation, the acquiring of the material data information of the material image information further includes:

[0026] Acquire historical data information and historical solutions corresponding to the historical data information;

[0027] The material data information is matched with the historical data information to determine a solution for the material data information.

[0028] Through the above technical solution, when processing material data information, the historical data information and the historical problem solutions corresponding to the historical data information are obtained to determine the historical data information that matches the material data information, and the problem solutions of the material data information are determined based on the historical problem solutions, thereby facilitating the staff to handle sticky materials.

[0029] In another possible implementation, the method further includes:

[0030] Acquiring current time information and working status information of an instrument, wherein the instrument is a detection instrument for detecting the slide verification information;

[0031] Based on the current time information and the preset time information, determining whether the working state information satisfies the preset working state information, wherein the preset time information is the time point information of the detection instrument;

[0032] If not satisfied, a status exception message is generated.

[0033] Through the above technical scheme, the time period detection method of preset time information is adopted to detect the working status of the current instrument, and determine whether the detected working status information meets the preset working status information. When it does not meet the preset working status information, abnormal status information is generated to inform the staff to repair the instrument in time.

[0034] In another possible implementation, the controlling the debris processing device to perform debris cleaning further includes:

[0035] Acquiring storage image information of the slide;

[0036] Performing image analysis on the storage image information to determine the initial storage time and the removal time of the slide;

[0037] Determine the personnel information appearing in the stored image information based on the initial time and the taking time;

[0038] Determine whether there is a personnel anomaly in the personnel information, and if so, record the first moment of the personnel anomaly.

[0039] Through the above technical scheme, when glass slides are stored and managed, the storage image information of the glass slides is obtained, and then the storage image information is analyzed to determine the initial storage time and the retrieval time of the glass slides, and then the personnel information appearing in the storage image information is determined based on the initial time and the retrieval time, and then it is determined whether there is any personnel abnormality in the personnel information. If so, the first moment of the personnel abnormality is recorded, thereby determining the time that caused the glass slide to become abnormal, which is convenient for the staff to handle the glass slides later.

[0040] In another possible implementation, the determining of the personal information appearing in the stored image information based on the initial time and the taking time includes:

[0041] Determining personnel behavior information based on the personnel information;

[0042] Determining whether the personnel behavior information complies with the preset behavior norms;

[0043] If the behavior standard is not met, it is determined that there is a personnel anomaly in the personnel information;

[0044] If the behavior norms are met, it is determined that there is no personnel anomaly in the personnel information.

[0045] Through the above technical solution, when checking personnel information, the personnel behavior information is determined based on the personnel information in the stored image information, and then it is judged whether the personnel behavior information conforms to the preset behavior norms. The preset behavior norms include the personnel storage process of the glass slides and the personnel cleaning process of the glass slides. When the personnel behavior information does not conform to the behavior norms, it is determined that there is a personnel anomaly in the personnel information, thereby achieving the effect of judging whether there is a personnel anomaly in the personnel information, which helps the staff to adjust the storage status of the glass slides in time.

[0046] In a second aspect, the present application provides a sealing detection device for a medical sealing machine, which adopts the following technical solution:

[0047] A sealing film detection device for a medical sealing machine, comprising:

[0048] An acquisition module, used to acquire slide verification information after detecting a test instruction;

[0049] A data extraction module, used to extract data from the slide verification information and determine the water-containing medium value and the suction cup negative pressure value;

[0050] A judgment module, used for judging whether the aqueous medium value satisfies a preset aqueous medium value;

[0051] A first processing module, for generating a sheet-sticking processing instruction and controlling a sheet-sticking processing device to perform sheet-sticking processing when the water-containing medium does not satisfy a preset water-containing medium value;

[0052] The second processing module is used to determine whether the suction cup negative pressure value is less than the preset suction cup negative pressure value when the water-containing medium satisfies the preset water-containing medium value. If the suction cup negative pressure value is less than the preset suction cup negative pressure value, a debris processing instruction is generated to control the debris processing device to clean up the debris.

[0053] By adopting the above technical scheme, when the medical sealing machine is sealing the slide, the verification information of the glass slide adsorbed by the suction cup is obtained, and then the glass slide verification information is extracted to determine the aqueous medium value of the glass slide and the suction cup negative pressure value of the suction cup, and then it is judged whether the aqueous medium value satisfies the preset aqueous medium value. If not, a sticking slide processing instruction is generated to control the sticking slide processing device to perform sticking slide processing. If it is satisfied, it is judged whether the suction cup negative pressure value satisfies the preset suction cup negative pressure value. If it is satisfied, a debris processing instruction is generated to control the debris processing device to clean up the debris. Therefore, in the process of using the suction cup to absorb the glass slide, once the glass slide is stuck or debris occurs, the corresponding sticking slide processing device or debris processing device will perform abnormal processing to avoid affecting the observation accuracy of the glass slide.

[0054] In a possible implementation, the device further includes: an information analysis module, an image acquisition module, a network detection module, a feature recognition module, and a control and display module, wherein:

[0055] The information analysis module is used to analyze the water-containing medium information to generate the adhesion level information of the glass slide;

[0056] The image acquisition module is used to acquire material image information according to the adhesive layer information, wherein the material image information is the material between the two glass slides;

[0057] The network detection module is used to input the material image information into the trained material network model to perform material detection and obtain material feature information in the material image information;

[0058] The feature recognition module is used to perform feature recognition on the material feature information to obtain material data information of the material image information;

[0059] The control and display module is used to control and display the material data information.

[0060] In another possible implementation, the device further includes: a sample acquisition module and a network creation module, wherein:

[0061] The sample acquisition module is used to acquire a material training sample, wherein the material training sample includes a material image and material data information corresponding to the material image;

[0062] The network creation module is used to create a material network model and train the material network model based on the material training samples to obtain a trained material network model.

[0063] In another possible implementation, the device further includes: a solution acquisition module and an information matching module, wherein:

[0064] The solution acquisition module is used to acquire historical data information and historical solutions corresponding to the historical data information;

[0065] The information matching module is used to match the material data information with the historical data information to determine a solution for the material data information.

[0066] In another possible implementation, the device further includes: a state acquisition module, a state judgment module, and an abnormality generation module, wherein:

[0067] The state acquisition module is used to acquire current time information and working state information of an instrument, wherein the instrument is a detection instrument for detecting the slide verification information;

[0068] The state judgment module is used to determine whether the working state information satisfies the preset working state information based on the current time information and the preset time information, wherein the preset time information is the time point information of the detection instrument;

[0069] The abnormality generating module is used to generate abnormal status information when the working status information does not satisfy the preset working status information.

[0070] In another possible implementation, the device further includes: a storage image acquisition module, an image analysis module, a personnel determination module, and a time recording module, wherein:

[0071] The storage image acquisition module is used to acquire the storage image information of the slide;

[0072] The image analysis module is used to perform image analysis on the storage image information to determine the initial storage time and the removal time of the slide;

[0073] The personnel determination module is used to determine the personnel information appearing in the stored image information based on the initial time and the taking time;

[0074] The moment recording module is used to determine whether there is a personnel anomaly in the personnel information, and if so, record the first moment of the personnel anomaly.

[0075] In another possible implementation, when the personnel determination module determines the personnel information appearing in the stored image information based on the initial time and the taking time, it is specifically configured to:

[0076] Determining personnel behavior information based on the personnel information;

[0077] Determining whether the personnel behavior information complies with the preset behavior norms;

[0078] If the behavior standard is not met, it is determined that there is a personnel anomaly in the personnel information;

[0079] If the behavior norms are met, it is determined that there is no personnel anomaly in the personnel information.

[0080] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0081] An electronic device, comprising:

[0082] at least one processor;

[0083] Memory;

[0084] At least one application, wherein the at least one application is stored in the memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned sealing detection method of the medical sealing machine.

[0085] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0086] A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned medical sealing machine sealing detection method.

[0087] In summary, this application includes the following beneficial technical effects:

[0088] 1. When the medical slide sealing machine is sealing, the slide verification information adsorbed by the suction cup is obtained, and then the slide verification information is extracted to determine the water-containing medium value of the slide and the suction cup negative pressure value of the suction cup, and then it is judged whether the water-containing medium value satisfies the preset water-containing medium value. If not, a sticking slide processing instruction is generated to control the sticking slide processing device to perform sticking slide processing. If it is satisfied, it is judged whether the suction cup negative pressure value satisfies the preset suction cup negative pressure value. If it is satisfied, a debris processing instruction is generated to control the debris processing device to clean up the debris. In this way, in the process of using the suction cup to absorb the slide, once the slide is stuck or debris occurs, the corresponding sticking slide processing device or debris processing device will perform abnormal processing to avoid affecting the observation accuracy of the slide;

[0089] 2. When storing and managing glass slides, obtain the storage image information of the glass slides, and then perform image analysis on the storage image information to determine the initial storage time and the retrieval time of the glass slides. Then, based on the initial time and the retrieval time, determine the personnel information appearing in the storage image information, and then determine whether there is any personnel abnormality in the personnel information. If so, record the first moment of the personnel abnormality, thereby determining the time that caused the glass slide to become abnormal, which is convenient for the staff to handle the glass slides later. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 It is a schematic flow chart of a method for detecting a sealing film of a medical sealing film machine according to an embodiment of the present application;

[0091] Figure 2 It is a block diagram of a method for detecting a medical slide cover of a slide cover machine according to an embodiment of the present application;

[0092] Figure 3 It is a schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0093] The following is combined with Figure 1-3 This application is described in further detail.

[0094] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0095] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0096] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0097] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0098] The embodiment of the present application provides a sealing detection method for a medical sealing machine, which is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes:

[0099] Step S10, when the test instruction is detected, the slide verification information is obtained.

[0100] Specifically, the medical cover slide machine sucks the cover slide from the slide container through a suction cup device, and then detects the cover slide through a detection sensor to obtain slide verification information.

[0101] Specifically, the detection sensor includes a first circuit and a second circuit. The first circuit is different from the second circuit. The detection sensor determines the aqueous medium of the cover glass by testing the charging and discharging time in the form of high-speed charging and discharging. The detection sensor determines the negative pressure value of the suction cup of the cover glass by detecting the negative pressure of the suction cup.

[0102] Step S11, extracting data from the slide verification information to determine the aqueous medium value and the suction cup negative pressure value.

[0103] Specifically, the aqueous medium value is used to indicate whether the current glass slide is sticky, and the suction cup negative pressure value is used to indicate whether the current glass slide is broken.

[0104] Step S12, determining whether the aqueous medium value satisfies a preset aqueous medium value.

[0105] Specifically, the preset aqueous medium value is a normal aqueous medium value preset by a staff member, and the current aqueous medium value is compared with the normal aqueous medium value to determine whether the aqueous medium value satisfies the preset aqueous medium value.

[0106] Step S13: if not satisfied, a wafer sticking processing instruction is generated to control the wafer sticking processing device to perform wafer sticking processing.

[0107] Specifically, when the water-containing medium value does not meet the preset water-containing medium value, it means that the current glass slide is sticky. At this time, a sticky slide processing instruction is generated to control the processing device to separate the sticky slide.

[0108] Step S14, if satisfied, determine whether the suction cup negative pressure value is less than the preset suction cup negative pressure value, if the suction cup negative pressure value is less than the preset suction cup negative pressure value, generate a debris processing instruction, and control the debris processing device to clean up the debris.

[0109] Specifically, when the aqueous medium value meets the preset aqueous medium value, it means that the current glass slide is not sticky. At this time, the suction cup negative pressure value is judged to determine whether the current suction cup negative pressure value is less than the preset suction cup negative pressure value. If it is less than, it means that the current glass slide is broken. At this time, a fragment processing instruction is generated to control the fragment processing device to clean the glass slide fragments on the suction cup.

[0110] The embodiment of the present application provides a sealing detection method for a medical sealing machine. When the medical sealing machine is sealing, verification information of the glass slide adsorbed by the suction cup is obtained, and then data extraction is performed on the glass slide verification information to determine the aqueous medium value of the glass slide and the suction cup negative pressure value of the suction cup, and then it is judged whether the aqueous medium value satisfies the preset aqueous medium value. If not, a sticking sheet processing instruction is generated to control the sticking sheet processing device to perform sticking sheet processing. If so, it is judged whether the suction cup negative pressure value satisfies the preset suction cup negative pressure value. If so, a debris processing instruction is generated to control the debris processing device to clean up the debris. Therefore, in the process of using the suction cup to absorb the glass slide, once sticking or debris occurs, the corresponding sticking sheet processing device or debris processing device will perform abnormal processing to avoid affecting the observation accuracy of the glass slide.

[0111] In a possible implementation of the embodiment of the present application, step S13 further includes step S131 (not shown in the figure), step S132 (not shown in the figure), step S133 (not shown in the figure), step S134 (not shown in the figure) and step S135 (not shown in the figure), wherein:

[0112] Step S131, analyzing the water-containing medium information to generate the adhesive layer information of the glass slide.

[0113] Specifically, by calculating the unit aqueous medium value of the single-layer glass slide, the number of unit aqueous medium values ​​included in the current aqueous medium information is determined, thereby determining the adhesive layer information of the glass slide. For example, if the unit aqueous medium value of the single-layer glass slide is 10, and the measured aqueous medium value in the aqueous medium information is 40, then the adhesive layer information is 4.

[0114] Step S132, obtaining material image information according to the adhesive layer information, where the material image information is the material between the two glass slides.

[0115] Specifically, the material image information between the layers of the adhesive glass slide is obtained respectively by using a shooting tool, wherein the shooting tool includes a camera and a mobile phone.

[0116] Step S133: input the material image information into the trained material network model to perform material detection, and obtain material feature information in the material image information.

[0117] Specifically, after the material image information is input into the material network model, the electronic device needs to store three independent matrices (matrices can be understood as two-dimensional arrays, which will be explained in detail in the following tutorials) in order to store the image. These three matrices correspond to the red, green and blue colors of this image (all colors in the world can be mixed with red, green and blue). If the image size is 64*64 pixels (a pixel is a color point, and a color point is represented by three values ​​of red, green and blue. For example, red, green and blue are 255, 255, 255, then this color point is white), then three 64*64 matrices represent this image in the electronic device, and the values ​​in the matrices correspond to the red, green and blue intensity values ​​of the image. In the field of artificial intelligence, each data input into the neural network is called a feature, so there are 64*64 in this image, which results in 12288 material feature information.

[0118] Step S134, performing feature recognition on the material feature information to obtain material data information of the material image information.

[0119] Step S135, controlling the display of material data information.

[0120] Specifically, the material data information is obtained through the control layer (controller), business layer (service) and data access layer (dao). The data access layer is only responsible for data interaction with the database and reading the data. The business layer needs to write logic code according to the actual business needs of the system. The business logic layer calls the relevant methods of the data access layer to interact with the database and feeds back the execution results to the control layer. The control layer sends the material data information to the view renderer, renders the material data information in the view, and finally echoes the material data information.

[0121] In a possible implementation of the embodiment of the present application, step S133 further includes step Sa (not shown in the figure) and step Sb (not shown in the figure), wherein:

[0122] Step Sa, obtaining a material training sample, where the material training sample includes a material image and material data information corresponding to the material image.

[0123] Step Sb: creating a material network model, and training the material network model based on material training samples to obtain a trained material network model.

[0124] Specifically, the material network model is a neural network model. Neural Networks (NN) is a complex network system formed by a large number of simple processing units (called neurons) that are widely interconnected. It reflects many basic characteristics of human brain functions and is a highly complex nonlinear dynamic learning system. Neural networks have large-scale parallel, distributed storage and processing, self-organization, self-adaptation and self-learning capabilities, and are particularly suitable for processing imprecise and fuzzy information processing problems that require considering many factors and conditions at the same time. The development of neural networks is related to neuroscience, mathematical science, cognitive science, computer science, artificial intelligence, information science, cybernetics, robotics, microelectronics, psychology, optical computing, molecular biology, etc.

[0125] In a possible implementation of the embodiment of the present application, step S134 further includes step S1341 (not shown in the figure) and step S1342 (not shown in the figure), wherein:

[0126] Step S1341, obtaining historical data information and historical solutions corresponding to the historical data information.

[0127] Specifically, the historical data information and the historical solutions corresponding to the historical data information are data stored in a database.

[0128] Step S1342, matching the material data information with the historical data information to determine a solution for the material data information.

[0129] Specifically, key field information is determined according to the material data information, and then the key field is matched with the information field of the material data information to obtain historical data information matching the material data information and a solution associated with the historical data information.

[0130] In a possible implementation of the embodiment of the present application, step S14 (not shown in the figure) further includes step S15 (not shown in the figure), step S16 (not shown in the figure) and step S17 (not shown in the figure), wherein:

[0131] Step S15, obtaining current time information and working status information of the instrument, the instrument being a detection instrument for detecting slide verification information.

[0132] Specifically, the detection instrument includes a detection sensor and a medical sealing machine.

[0133] Step S16, based on the current time information and the preset time information, determining whether the working state information satisfies the preset working state information, the preset time information being the time point information of the detection instrument.

[0134] Step S17: if not satisfied, generate status abnormal information.

[0135] In a possible implementation of the embodiment of the present application, step S14 further includes step S141 (not shown in the figure), step S142 (not shown in the figure), step S143 (not shown in the figure) and step S144 (not shown in the figure), wherein:

[0136] Step S141, obtaining storage image information of the slide.

[0137] Specifically, the storage image information of the slides is acquired through a monitor pre-installed in the slide storage room.

[0138] Step S142, performing image analysis on the stored image information to determine the initial storage time and the retrieval time of the slide.

[0139] Specifically, image analysis is performed based on the stored image information to determine the moment when the person comes into contact with the glass slide, which is the initial moment, and then determine the moment when the person takes the glass slide, which is the taking moment.

[0140] Specifically, image analysis, also known as scene analysis or image understanding, generally uses mathematical models combined with image processing technology to analyze the underlying features and upper structures, thereby extracting information with a certain degree of intelligence.

[0141] Step S143, determining the personnel information appearing in the stored image information based on the initial time and the taking time.

[0142] Step S144, determining whether there is any personnel anomaly in the personnel information, and if so, recording the first moment of the personnel anomaly.

[0143] In a possible implementation of the embodiment of the present application, step S143 (not shown in the figure) further includes step S1431 (not shown in the figure), step S1432 (not shown in the figure), step S1433 (not shown in the figure) and step S1434 (not shown in the figure), wherein:

[0144] Step S1431, determining personnel behavior information based on personnel information.

[0145] Step S1432, determining whether the personnel behavior information complies with the preset behavior norms.

[0146] Step S1433: If the behavior norms are not met, it is determined that there is a personnel anomaly in the personnel information.

[0147] Step S1434: If the behavior specification is met, it is determined that there is no personnel anomaly in the personnel information.

[0148] Specifically, when checking personnel information, the personnel behavior information is determined based on the personnel information in the stored image information, and then it is judged whether the personnel behavior information conforms to the preset behavior norms. The preset behavior norms include the personnel storage process of glass slides and the personnel cleaning process of glass slides. When the personnel behavior information does not conform to the behavior norms, it is determined that there is personnel anomaly in the personnel information, thereby achieving the effect of judging whether there is personnel anomaly in the personnel information, which helps the staff to adjust the storage status of the glass slides in time.

[0149] The above-mentioned embodiment introduces a sealing detection method of a medical sealing machine from the perspective of method flow, and the following embodiment introduces a sealing detection device of a medical sealing machine from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiments.

[0150] The present application embodiment provides a sealing detection device for a medical sealing machine, such as Figure 2 As shown, the device 20 may specifically include: an acquisition module 21, a data extraction module 22, a judgment module 23, a first processing module 24 and a second processing module 25, wherein:

[0151] The acquisition module 21 is used to acquire slide verification information after detecting a test instruction.

[0152] The data extraction module 22 is used to extract data from the slide verification information and determine the aqueous medium value and the suction cup negative pressure value.

[0153] A judgment module 23 is used to judge whether the water-containing medium value satisfies a preset water-containing medium value;

[0154] The first processing module 24 is used to generate a sheet-sticking processing instruction and control the sheet-sticking processing device to perform sheet-sticking processing when the water-containing medium does not satisfy the preset water-containing medium value.

[0155] The second processing module 25 is used to determine whether the suction cup negative pressure value is less than the preset suction cup negative pressure value when the water-containing medium satisfies the preset water-containing medium value. If the suction cup negative pressure value is less than the preset suction cup negative pressure value, a debris processing instruction is generated to control the debris processing device to clean up the debris.

[0156] In a possible implementation of the embodiment of the present application, the device 20 further includes: an information analysis module, an image acquisition module, a network detection module, a feature recognition module, and a control display module, wherein:

[0157] An information analysis module is used to analyze the water-containing medium information and generate the adhesive layer information of the glass slide;

[0158] An image acquisition module is used to acquire material image information according to the adhesive layer information, and the material image information is the material between the two layers of glass slides;

[0159] A network detection module is used to input material image information into the trained material network model to perform material detection and obtain material feature information in the material image information;

[0160] A feature recognition module is used to perform feature recognition on material feature information and obtain material data information of material image information;

[0161] The control display module is used to control and display material data information.

[0162] In another possible implementation of the embodiment of the present application, the device 20 further includes: a sample acquisition module and a network creation module, wherein:

[0163] A sample acquisition module is used to acquire a material training sample, where the material training sample includes a material image and material data information corresponding to the material image;

[0164] The network creation module is used to create a material network model and train the material network model based on material training samples to obtain a trained material network model.

[0165] In another possible implementation of the embodiment of the present application, the device 20 further includes: a solution acquisition module and an information matching module, wherein:

[0166] A solution acquisition module is used to acquire historical data information and historical solutions corresponding to the historical data information;

[0167] The information matching module is used to match the material data information with the historical data information to determine the solution of the material data information.

[0168] In another possible implementation of the embodiment of the present application, the device 20 further includes: a state acquisition module, a state judgment module and an abnormality generation module, wherein:

[0169] A status acquisition module, used to acquire current time information and working status information of the instrument, where the instrument is a detection instrument for detecting slide verification information;

[0170] A state judgment module, used to determine whether the working state information satisfies the preset working state information based on the current time information and the preset time information, where the preset time information is the time point information of the detection instrument;

[0171] The abnormality generating module is used to generate abnormality information when the working state information does not meet the preset working state information.

[0172] In another possible implementation of the embodiment of the present application, the device 20 further includes: an image acquisition module, an image analysis module, a personnel determination module, and a time recording module, wherein:

[0173] A storage image acquisition module is used to acquire storage image information of the slide;

[0174] An image analysis module is used to analyze the stored image information and determine the initial storage time and the retrieval time of the slide;

[0175] A personnel determination module, used to determine the personnel information appearing in the stored image information based on the initial time and the retrieval time;

[0176] The moment recording module is used to determine whether there is any personnel anomaly in the personnel information, and if so, record the first moment of the personnel anomaly.

[0177] In another possible implementation of the embodiment of the present application, when the personnel determination module determines the personnel information appearing in the stored image information based on the initial time and the taking time, it is specifically used to:

[0178] Determine personnel behavior information based on personnel information;

[0179] Determine whether the personnel behavior information complies with the preset behavior norms;

[0180] If it does not comply with the behavioral norms, it is determined that there is an abnormality in the personnel information;

[0181] If the behavior norms are met, it is determined that there is no personnel anomaly in the personnel information.

[0182] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0183] The present application also introduces an electronic device from the perspective of a physical device, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0184] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0185] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0186] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0187] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0188] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0189] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0190] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A sealing detection method for a medical sealing machine, characterized in that: include When a test instruction is detected, slide verification information is obtained; Extracting data from the slide verification information to determine a water-containing medium value and a suction cup negative pressure value; Determining whether the aqueous medium value satisfies a preset aqueous medium value; If not, a sticking sheet processing instruction is generated to control the sticking sheet processing device to perform sticking sheet processing; If it is satisfied, it is determined whether the suction cup negative pressure value is less than the preset suction cup negative pressure value. If the suction cup negative pressure value is less than the preset suction cup negative pressure value, a debris processing instruction is generated to control the debris processing device to clean up the debris.

2. The method according to claim 1, characterized in that The step of generating the sticking processing instruction further includes: Analyze the water-containing medium information to generate the adhesive layer information of the glass slide; According to the adhesive layer information, material image information is obtained, wherein the material image information is the material between the two glass slides; Inputting the material image information into the trained material network model to perform material detection, and obtaining material feature information in the material image information; Performing feature recognition on the material feature information to obtain material data information of the material image information; Controlling display of the substance data information.

3. The method according to claim 2, characterized in that The step of inputting the material image information into the trained material network model for material detection also includes: Acquire a material training sample, wherein the material training sample includes a material image and material data information corresponding to the material image; A material network model is created, and the material network model is trained based on the material training samples to obtain a trained material network model.

4. The method according to claim 2, characterized in that: The step of obtaining the material data information of the material image information further includes: Acquire historical data information and historical solutions corresponding to the historical data information; The material data information is matched with the historical data information to determine a solution for the material data information.

5. The method according to claim 1, characterized in that The method further comprises: Acquiring current time information and working status information of an instrument, wherein the instrument is a detection instrument for detecting the slide verification information; Based on the current time information and the preset time information, determining whether the working state information satisfies the preset working state information, wherein the preset time information is the time point information of the detection instrument; If not satisfied, a status exception message is generated.

6. The method according to claim 1, characterized in that The control of the debris processing device to perform debris cleaning further comprises: Acquiring storage image information of the slide; Performing image analysis on the storage image information to determine the initial storage time and the removal time of the slide; Determine the personnel information appearing in the stored image information based on the initial time and the taking time; Determine whether there is a personnel anomaly in the personnel information, and if so, record the first moment of the personnel anomaly.

7. The method according to claim 6, characterized in that The determining of the personnel information appearing in the stored image information based on the initial time and the taking time includes: Determining personnel behavior information based on the personnel information; Determine whether the personnel behavior information complies with the preset behavior norms; If the behavior standard is not met, it is determined that there is a personnel anomaly in the personnel information; If the behavior norms are met, it is determined that there is no personnel anomaly in the personnel information.

8. A sealing film detection device for a medical sealing machine, characterized in that: include: An acquisition module, used to acquire slide verification information after detecting a test instruction; A data extraction module, used to extract data from the slide verification information and determine the water-containing medium value and the suction cup negative pressure value; A judgment module, used for judging whether the aqueous medium value satisfies a preset aqueous medium value; A first processing module, for generating a sheet-sticking processing instruction and controlling a sheet-sticking processing device to perform sheet-sticking processing when the water-containing medium value does not satisfy a preset water-containing medium value; The second processing module is used to determine whether the suction cup negative pressure value is less than the preset suction cup negative pressure value when the water-containing medium value satisfies the preset water-containing medium value. If the suction cup negative pressure value is less than the preset suction cup negative pressure value, a debris processing instruction is generated to control the debris processing device to clean up the debris.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the sealing detection method of the medical sealing machine according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the sealing detection method for a medical sealing machine according to any one of claims 1 to 7.

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