Automatic information acquisition device for medical instrument equipment management and processing method

Abstract

The invention provides an automatic information acquisition device for medical instrument equipment management, and belongs to the technical field of equipment management, and the device comprises a lifting frame assembly which comprises four lifting driving assemblies and an L-shaped moving frame; the four moving frames are detachably connected end to end, are arranged on the outer side of the medical instrument bent frame through the four lifting driving assemblies correspondingly and are driven to ascend and descend through the four lifting driving assemblies. The rack frame assembly comprises four L-shaped racks which are detachably connected end to end, and the racks are fixedly arranged on the inner sides of the four movable frames; an arc-shaped inner gear ring is arranged at the right angle of the rack; the gear moving assembly is erected on the rack and meshed with the rack; the gear moving assembly is self-driven to move along the rack; a plurality of unit arms; one unit arm is fixedly arranged on the gear moving assembly, and the adjacent ends of the rest unit arms are hinged in sequence; a rotating motor is arranged at the hinged point of each unit arm to drive the unit arm to swing; and the image acquisition assembly is arranged at the end part of the tail end unit arm. The device can automatically collect and process instrument image data, accurately recognize instrument types and reasonably manage the instrument types.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment management, and in particular to an automated information collection device and processing method for medical device equipment management. Background Art

[0002] The storage and management of medical devices is a very important task in medical institutions, which involves the neatness, cleanliness, safe storage and compliance management of equipment. Medical institutions should classify different types of medical devices and mark the equipment with clear labels, including the name, model, production date, expiration date and other information of the equipment. This helps to quickly find and identify the required medical devices.

[0003] In the actual process of equipment management, it is easy for medical equipment to be missed or misplaced, resulting in errors in the data statistics of the equipment, affecting the overall management of the equipment, and also affecting the call of the equipment. Therefore, information collection equipment is needed to comprehensively monitor and collect information in the storage area of ​​medical equipment to ensure the accuracy of medical equipment data. However, the storage area of ​​medical equipment is mostly a display-style rack structure with narrow layers and lack of space for information collection. Therefore, it is currently mostly counted and managed manually, which is very inconvenient. Summary of the invention

[0004] In order to achieve the technical goal of automatic collection of medical equipment in racks, the present invention provides an automatic information collection device and processing method for medical equipment management. The present invention provides the following technical solutions.

[0005] An automated information collection device for medical device management, comprising:

[0006] The lifting frame assembly includes four lifting drive assemblies and an L-shaped moving frame; the four moving frames are detachably connected head to tail, and are respectively arranged on the outside of the medical device rack through four lifting drive assemblies, and driven to lift by the four lifting drive assemblies;

[0007] The rack frame assembly includes four L-shaped racks that are detachably connected at the head and tail, and are fixedly arranged on the inner sides of the four moving frames; the right angles of the racks are / arc-shaped inner gear rings;

[0008] A gear moving assembly is mounted on the rack and meshes with the rack; the gear moving assembly is self-driven and moves along the rack;

[0009] A plurality of unit arms; one of the unit arms is fixedly arranged on the gear moving assembly, and the other unit arms are hinged at adjacent ends in sequence; a rotating motor is arranged at the hinge point of each unit arm to drive the unit arm to swing;

[0010] The image acquisition component is arranged at the end of the unit arm.

[0011] Preferably, a connecting plate is detachably connected between the ends of adjacent moving frames; and a rack plate is detachably connected between the ends of adjacent racks.

[0012] Preferably, the top and bottom of the rack are provided with guide grooves along the contour direction; the gear moving assembly comprises:

[0013] Two movable plates, one end of which is slidably arranged in two guide grooves through guide shafts respectively;

[0014] A gear, rotatably connected to the two moving plates via a short shaft; the gear is meshed with the rack;

[0015] A support plate is fixedly arranged on the top of the moving plate; and one of the unit arms is fixedly arranged on the top of the support plate.

[0016] Preferably, the lifting drive assembly comprises:

[0017] Two synchronous belt wheels are rotatably arranged on the top of the moving frame; the two synchronous belt wheels are connected by synchronous belt transmission;

[0018] A screw rod passes through one of the synchronous belt wheel and the moving frame in sequence, and is threadably matched with the synchronous belt wheel and slidingly matched with the moving frame;

[0019] The lifting motor is fixedly arranged at the bottom of the moving frame, and its output shaft is drivingly connected with one of the synchronous belt wheels.

[0020] A method for processing image information using the automated information collection device for medical device equipment management comprises the following steps:

[0021] Driving the automated information collection device for medical device equipment management to a preset height position higher than the target medical device storage area;

[0022] Divide the medical device storage area to obtain a plurality of divided areas, collect image data of the plurality of medical device storage areas respectively by the automated information collection device for medical device equipment management, and splice the image data to obtain image data of the medical device storage area;

[0023] Grayscale the image data of the medical device storage area, extract the gradient information of the image, extract the data of different shadow areas, and segment the shadow data of the area occupied by the device and the area without the device;

[0024] Traverse the shadow data of the area occupied by the device and the area without the device, extract the valid data, and perform edge recognition on the contour of the valid data to obtain the shadow map of the area occupied and the area without the device;

[0025] Determine the area ratio of the shadow map of the area occupied by all devices in the image of the medical device storage area, determine the type of medical device corresponding to the shadow map of the area occupied by each device through the preset ratio range of the cross-sectional area of ​​each medical device in the medical device storage area, and determine the number and type of medical devices in the medical device storage area accordingly.

[0026] Preferably, the steps of respectively collecting image data of a plurality of medical device storage areas and splicing the image data to obtain image data of the medical device storage areas include the following steps:

[0027] Taking the initial position of the image acquisition component of the automated information acquisition device for medical device equipment management as the origin, the coordinates of multiple boundary points of the medical device storage area are obtained by driving the first motor and multiple rotating motors, and the maximum rectangular storage area and the corresponding area endpoint coordinates are obtained by fitting;

[0028] Divide the largest rectangular storage area into multiple divided areas, calculate and determine the coordinates of the center point of each divided area according to the coordinates of the area endpoints, select a preset sampling height based on the center point, and collect images of all divided areas with the same height as the center point;

[0029] A feature point detection algorithm is used to find the key feature points in all divided area images, and feature point pairs are matched. Based on the matched feature point pairs, the least squares fitting method is used to calculate the perspective transformation matrix. According to the size of the perspective transformed image and the original image, the boundary of the spliced ​​image is calculated. According to the calculated boundary, the spliced ​​image is cropped and the overlapping parts are removed to obtain the image data of the medical device storage area.

[0030] Preferably, the graying of the image data of the medical device storage area, extracting the gradient information of the image, extracting the data of different shadow areas, and segmenting the shadow data of the area occupied by the device and the area without the device comprises the following steps:

[0031] Convert the spliced ​​image into a grayscale image and use the gradient operator to calculate the gradient information of the image;

[0032] According to the gradient information, different threshold ranges are set to extract data of different shadow areas, and the shadow data of the area occupied by the device and the area without the device are segmented;

[0033] For the shadow data of the area occupied by the device and the area without the device, the erosion and dilation operations are used to filter the edge information of the data.

[0034] Preferably, the shadow data of the area occupied by the device and the area without the device are traversed, valid data are extracted, and edge recognition is performed on the contour of the valid data to obtain the shadow map of the area occupied and the area without the device, including the following steps:

[0035] By determining the pixel standard graph, the shadow data of the area occupied by the device and the area without the device are traversed to extract the effective area data;

[0036] Through image detection, the outline of the corresponding field of view is detected, and edge recognition detection is performed on the corresponding outline information to form a shadow map of the area occupied by the instrument and the area without the instrument.

[0037] Preferably, determining the number and type of medical devices in the medical device storage area comprises the following steps:

[0038] Binarize the shadow image of the area occupied by the device, set the pixel value of the shadow area to non-zero, and the remaining area to zero, and calculate the number of non-zero pixels;

[0039] Obtain the number of pixel rows and columns of the entire medical device storage area image, and then calculate the total number of pixels;

[0040] Use the number of non-zero pixels obtained above and the number of pixels in the entire image to calculate the proportion of the shadow image in the entire image.

[0041] Beneficial effects of the present invention:

[0042] The present invention proposes an automated information acquisition device and processing method for the management of medical equipment. The device can accurately obtain image data of each layer of an equipment rack through a multi-joint planar manipulator, and adopts a gear rack method for transmission to drive the image acquisition device to any area between the rack layers, and obtains the display situation of the equipment in the entire rack through image splicing, and uses this to identify and manage the equipment, replacing manual management, and accurately obtains display data; the method adopts image recognition to quickly identify and obtain the number and type of equipment in the medical equipment storage area, determine the display situation of equipment in each area, and reasonably manage the equipment in each area in real time, ensuring the accuracy of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is an overall assembly structure diagram of the automatic information collection device for medical equipment management according to an embodiment of the present invention;

[0044] Figure 2 It is a partial structural diagram of the automated information collection device for medical equipment management according to an embodiment of the present invention;

[0045] Figure 3is a top view of an automated information collection device for medical device equipment management according to an embodiment of the present invention;

[0046] Figure 4 It is a flow chart of a method for processing image information using an automated information collection device for medical device equipment management according to an embodiment of the present invention;

[0047] Figure 5 is a second sub-step flow chart of an embodiment of the present invention;

[0048] Figure 6 is a flowchart of the third sub-step of an embodiment of the present invention;

[0049] Figure 7 is a flowchart of the fourth sub-step of an embodiment of the present invention;

[0050] Figure 8 This is a fifth sub-step flow chart of an embodiment of the present invention.

[0051] Among them, 1. synchronous pulley; 2. synchronous belt; 3. moving frame; 4. screw; 5. moving plate; 6. connecting piece; 7. guide groove; 8. rack; 9. unit arm; 10. support plate; 11. rotating motor; 12. gear; 13. guide shaft. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0053] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0054] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. The terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features; in the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0055] In the actual process of equipment management, it is easy for medical equipment to be missed or misplaced, resulting in errors in the data statistics of the equipment, affecting the overall management of the equipment, and also affecting the call of the equipment. Therefore, information collection equipment is needed to comprehensively monitor and collect information from the medical equipment storage area to ensure the accuracy of the medical equipment data. However, the storage area for medical equipment is mostly a display-style rack structure with narrow layers and a lack of space for information collection. Therefore, current counting management is mostly done manually, which is very inconvenient. To this end, this embodiment proposes an automated information collection device for medical equipment management, such as Figure 1-3 As shown, it includes a lifting frame assembly, a rack frame assembly, a gear moving assembly, an image acquisition assembly and a plurality of unit arms 9.

[0056] like Figure 1 and Figure 2 As shown, the lifting frame assembly includes four lifting drive assemblies and an L-shaped moving frame 3; the four moving frames 3 are detachably connected at the head and tail through a connector 6, and are respectively arranged on the outside of the medical device rack through four lifting drive assemblies, and driven to lift and lower through the four lifting drive assemblies. In order to increase ductility, adapt to different rack structures, and facilitate installation and positioning, connecting plates are detachably connected between the ends of adjacent moving frames 3; and rack plates are detachably connected between the ends of adjacent racks 8.

[0057] Further, such as Figure 1As shown, the lifting drive assembly includes a screw rod 4, a lifting motor and two synchronous pulleys 1. The two synchronous pulleys 1 are both rotatably arranged on the top of the moving frame 3; the two synchronous pulleys 1 are connected by a synchronous belt 2; the screw rod 4 passes through a synchronous pulley 1 and the moving frame 3 in sequence, and is threadedly matched with the synchronous pulley 1 and slidably matched with the moving frame 3; the lifting motor is fixedly arranged at the bottom of the moving frame 3, and its output shaft is connected to a synchronous pulley 1 by transmission.

[0058] like Figure 3 As shown, the rack frame assembly includes four L-shaped racks 8 that are detachably connected head to tail, and are fixedly arranged on the inner side of four moving frames 3; the right angle of the rack 8 is a 1 / 4 arc-shaped internal gear ring; the gear moving assembly is mounted on the rack 8 and meshes with the rack 8; the gear moving assembly is self-driven and moves along the rack 8. Specifically, the top and bottom of the rack 8 are provided with guide grooves 7 along the contour direction; the gear moving assembly includes a gear 12, a support plate 10 and two moving plates 5. One end of the two moving plates 5 is slidably arranged in the two guide grooves 7 through a guide shaft 13 respectively; the gear 12 is rotationally connected to the two moving plates 5 through a short shaft; the gear 12 meshes with the rack 8; the support plate 10 is fixedly arranged on the top of the top moving plate 5; and a unit arm 9 is fixedly arranged on the top of the support plate 10.

[0059] like Figure 3 As shown, one unit arm 9 is fixedly arranged on the gear moving assembly, and the other unit arms 9 are hinged at adjacent ends in sequence; a rotating motor 11 is arranged at the hinge point of each unit arm 9 to drive the unit arm 9 to swing.

[0060] In addition, the image acquisition component is arranged at the end of the terminal unit arm 9, which is an industrial-grade camera in this embodiment.

[0061] This embodiment provides a method for processing image information based on the above-mentioned automated information collection device for medical device management: Figure 4 As shown; specifically, including:

[0062] S1: driving the automated information collection device for medical device equipment management to a certain height position higher than the target medical device storage area.

[0063] S2: Divide the medical device storage area to obtain multiple divided areas, collect image data of the multiple medical device storage areas respectively, and splice the image data to obtain image data of the medical device storage area.

[0064] Specific as Figure 5 As shown:

[0065] S2.1: Taking the initial position of the image acquisition component of the automated information acquisition device for medical device equipment management as the origin, the coordinates of multiple boundary points of the medical device storage area are obtained by driving the first motor and multiple rotating motors 11, and the maximum rectangular storage area and the corresponding area endpoint coordinates are obtained by fitting.

[0066] S2.2: Divide the largest rectangular storage area into multiple divided areas, determine the coordinates of the center point of each divided area based on the coordinates of the area endpoints, select a preset sampling height based on the center point, and collect images of all divided areas with the same height as the center point.

[0067] S2.3: Perform image stitching based on the center points of all divided area images to obtain image data of the medical device storage area.

[0068] Specifically, a feature point detection algorithm is used to find key feature points in the image. Based on the matched feature point pairs, a least squares fitting method is used to calculate the perspective transformation matrix. According to the size of the perspective transformed image and the original image, the boundary of the spliced ​​image is calculated. According to the calculated boundary, the spliced ​​image is cropped to remove the overlapping parts.

[0069] S3: grayscale the image data of the medical device storage area, extract the gradient information of the image, extract the data of different shadow areas, and segment the shadow data of the area occupied by the device and the area without the device;

[0070] Specific as Figure 6 As shown:

[0071] S3.1: Convert the stitched image into a grayscale image and use a gradient operator (such as Sobel, Scharr, etc.) to calculate the gradient information of the image.

[0072] S3.2: According to the gradient information, different threshold ranges are set to extract data of different shadow areas, and the shadow data of the area occupied by the device and the area without the device are segmented.

[0073] S3.3: For the shadow data of the area occupied by the device and the area without the device, use corrosion and expansion operations to filter the data edge information.

[0074] S4: Traverse the shadow data of the area occupied by the device and the area without the device, extract the valid data, and perform edge recognition on the contour of the valid data to obtain the shadow map of the area occupied and the area without the device.

[0075] Specific as Figure 7 As shown:

[0076] S4.1: By determining the pixel standard pattern, traverse the shadow data of the area occupied by the device and the area without the device to extract the valid area data.

[0077] S4.2: Detect the contour of the corresponding field of view through image detection, and perform edge recognition detection on the corresponding contour information to form a shadow map of the area occupied by the device and the area without the device.

[0078] S5: Determine the area ratio of the shadow map of the area occupied by all devices in the image of the medical device storage area, and determine the type of medical device corresponding to the shadow map of the area occupied by each device through the preset ratio range of the cross-sectional area of ​​each medical device in the medical device storage area, and determine the number and type of medical devices in the medical device storage area accordingly.

[0079] Specific as Figure 8 As shown:

[0080] S5.1: Binarize the shadow map of the area occupied by the device, set the pixel values ​​of the shadow area to non-zero and the remaining area to zero, and count the number of non-zero pixels.

[0081] S5.2: Obtain the number of pixel rows and columns of the entire medical device storage area image, and then calculate the total number of pixels.

[0082] S5.3: Use the number of non-zero pixels obtained above and the number of pixels in the entire image to calculate the proportion of the shadow image in the entire image.

[0083] In this embodiment, a multi-joint planar manipulator can accurately obtain image data of each layer of the instrument rack, and use a gear rack method for transmission to drive the image acquisition device to reach any area between the rack layers, and obtain the instrument display situation of the entire rack through image stitching, and use this to identify and manage the instruments, replacing manual management and accurately obtaining display data; this method uses the shadow area extraction and calculation ratio method to quickly identify and obtain the number and type of instruments in the medical device storage area, determine the instrument display situation in each area, and reasonably manage the instruments in each area in real time, ensuring the accuracy of the data.

[0084] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An automated information collection device for medical equipment management, characterized in that: include: The lifting frame assembly comprises four lifting drive assemblies and an L-shaped moving frame (3); the four moving frames (3) are detachably connected end to end, and are respectively arranged on the outside of the medical device rack through four lifting drive assemblies, and driven to lift through the four lifting drive assemblies; The rack frame assembly comprises four L-shaped racks (8) which are detachably connected at the head and tail and are fixedly arranged on the inner sides of the four moving frames (3); the right angles of the racks (8) are 1 / 4 arc-shaped internal gear rings; A gear moving assembly is mounted on the rack (8) and meshes with the rack (8); the gear moving assembly is self-driven and moves along the rack (8); A plurality of unit arms (9); one of the unit arms (9) is fixedly arranged on the gear moving assembly, and the other unit arms (9) are hinged at adjacent ends in sequence; a rotating motor (11) is arranged at a hinge point of each unit arm (9) to drive the unit arm (9) to swing; An image acquisition component is arranged at the end of the terminal unit arm (9).

2. The automated information collection device for medical equipment management according to claim 1, characterized in that: A connecting plate is detachably connected between the ends of adjacent moving frames (3); and a rack plate is detachably connected between the ends of adjacent racks (8).

3. The automated information collection device for medical equipment management according to claim 1, characterized in that: The top and bottom of the rack (8) are provided with guide grooves (7) along the contour direction; the gear moving assembly comprises: Two movable plates (5), one end of which is slidably arranged in two guide grooves (7) via guide shafts (13); A gear (12) is rotatably connected to the two movable plates (5) via a short shaft; the gear (12) is meshed with the rack (8); A support plate (10) is fixedly arranged on the top of the moving plate (5); and one of the unit arms (9) is fixedly arranged on the top of the support plate (10).

4. The automated information collection device for medical equipment management according to claim 1, characterized in that: The lifting drive assembly comprises: Two synchronous pulleys (1) are both rotatably arranged on the top of the moving frame (3); the two synchronous pulleys (1) are connected by a synchronous belt (2); The screw rod (4) passes through one of the synchronous belt pulleys (1) and the moving frame (3) in sequence, and is threadably matched with the synchronous belt pulley (1) and slidingly matched with the moving frame (3); The lifting motor is fixedly arranged at the bottom of the moving frame (3), and its output shaft is drivingly connected to one of the synchronous pulleys (1).

5. A method for processing image information using the automated information collection device for medical device management according to any one of claims 1 to 4, characterized in that: The following steps are involved: Driving the automated information collection device for medical device equipment management to a preset height position higher than the target medical device storage area; Divide the medical device storage area to obtain a plurality of divided areas, collect image data of the plurality of medical device storage areas respectively by the automated information collection device for medical device equipment management, and splice the image data to obtain image data of the medical device storage area; Grayscale the image data of the medical device storage area, extract the gradient information of the image, extract the data of different shadow areas, and segment the shadow data of the area occupied by the device and the area without the device; Traverse the shadow data of the area occupied by the device and the area without the device, extract the valid data, and perform edge recognition on the contour of the valid data to obtain the shadow map of the area occupied and the area without the device; Determine the area ratio of the shadow map of the area occupied by all devices in the image of the medical device storage area, determine the type of medical device corresponding to the shadow map of the area occupied by each device through the preset ratio range of the cross-sectional area of ​​each medical device in the medical device storage area, and determine the number and type of medical devices in the medical device storage area accordingly.

6. The image information processing method according to claim 5, characterized in that: The method of collecting image data of a plurality of medical device storage areas respectively and splicing the image data to obtain image data of the medical device storage areas comprises the following steps: Taking the initial position of the image acquisition component of the automated information acquisition device for medical device equipment management as the origin, the coordinates of multiple boundary points of the medical device storage area are obtained by driving the first motor and multiple rotating motors, and the maximum rectangular storage area and the corresponding area endpoint coordinates are obtained by fitting; Divide the largest rectangular storage area into multiple divided areas, calculate and determine the coordinates of the center point of each divided area according to the coordinates of the area endpoints, select a preset sampling height based on the center point, and collect images of all divided areas with the same height as the center point; A feature point detection algorithm is used to find the key feature points in all divided area images, and feature point pairs are matched. Based on the matched feature point pairs, the least squares fitting method is used to calculate the perspective transformation matrix. According to the size of the perspective transformed image and the original image, the boundary of the spliced ​​image is calculated. According to the calculated boundary, the spliced ​​image is cropped and the overlapping parts are removed to obtain the image data of the medical device storage area.

7. The image information processing method according to claim 5, characterized in that: The method of graying the image data of the medical device storage area, extracting the gradient information of the image, extracting the data of different shadow areas, and segmenting the shadow data of the area occupied by the device and the area without the device includes the following steps: Convert the spliced ​​image into a grayscale image and use the gradient operator to calculate the gradient information of the image; According to the gradient information, different threshold ranges are set to extract data of different shadow areas, and the shadow data of the area occupied by the device and the area without the device are segmented; For the shadow data of the area occupied by the device and the area without the device, the erosion and dilation operations are used to filter the edge information of the data.

8. The image information processing method according to claim 5, characterized in that: The process of traversing the shadow data of the area occupied by the device and the area without the device, extracting the valid data, and performing edge recognition on the contour of the valid data to obtain the shadow map of the area occupied and the area without the device includes the following steps: By determining the pixel standard graph, the shadow data of the area occupied by the device and the area without the device are traversed to extract the effective area data; Through image detection, the outline of the corresponding field of view is detected, and edge recognition detection is performed on the corresponding outline information to form a shadow map of the area occupied by the instrument and the area without the instrument.

9. The image information processing method according to claim 5, characterized in that: Determining the quantity and type of medical devices in the medical device storage area includes the following steps: Binarize the shadow image of the area occupied by the device, set the pixel value of the shadow area to non-zero, and the remaining area to zero, and calculate the number of non-zero pixels; Obtain the number of pixel rows and columns of the entire medical device storage area image, and then calculate the total number of pixels; Use the number of non-zero pixels obtained above and the number of pixels in the entire image to calculate the proportion of the shadow image in the entire image.

Images