Sample information recognition method, computer readable storage medium and recognition device

Abstract

The application discloses a sample information identification method, a computer readable storage medium and an identification device. The sample information identification method comprises the following steps: transporting a sample tube to a first identification area by controlling a transportation guide rail, acquiring sample tube information by a sample tube information reading mechanism; controlling an identification mechanism to capture a first image information of the sample tube; analyzing the first image information to acquire first identification information; comparing the first identification information with the sample tube information; if the first identification information matches the sample tube information, adjusting the position of a mechanical hand according to the first identification information to clamp the sample tube and move the sample tube to a second identification area; and acquiring sample information of the sample tube located in the second identification area. According to the sample information, whether the blood sample in the sample tube has hemolysis, jaundice and chyle phenomena and the severity information of the disease can be obtained, so that an abnormal sample with a relatively large influence on detection error can be identified.

Description

Technical Field

[0001] This invention relates to the field of medical testing equipment technology, and in particular to a sample information identification method, a computer-readable storage medium, and an identification device. Background Technology

[0002] With policy support and rising medical insurance coverage, the number of outpatient visits and physical examinations at medical institutions in my country is increasing annually, making automated production lines the preferred choice for medical laboratories. The main steps in common automated production line operations generally include: sample input, sample sorting, centrifugation, capping, analysis, capping, storage, result transmission, confirmation, and sample retesting.

[0003] Currently, the main workflow of pretreatment devices on the market involves directly opening the sample cap after centrifugation without performing serum quality testing. This prevents the identification of abnormal samples such as hemolyzed, lipemic, and jaundiced samples, which significantly impact testing errors. Furthermore, these devices cannot classify and grade individual abnormal samples, nor can they work in conjunction with the analyzer to correct analytical results, thereby reducing analytical errors and improving work efficiency.

[0004] In view of this, it is necessary to provide a new sample information identification method, computer-readable storage medium, and identification device to solve or at least alleviate the above-mentioned technical defects. Summary of the Invention

[0005] The main objective of this invention is to provide a sample information identification method, a computer-readable storage medium, and an identification device, aiming to solve the technical problem that existing sample analysis processes cannot identify abnormal samples that have a significant impact on detection errors.

[0006] To achieve the above objectives, the present invention provides a sample information identification method, which includes:

[0007] The sample tube is transported to the first identification area by the control transport guide rail, and the sample tube information is obtained through the sample tube information reading mechanism;

[0008] The control and recognition mechanism acquires the first image information of the sample tube;

[0009] Analyze the first image information to obtain the first recognition information;

[0010] The first identification information is compared with the sample tube information;

[0011] If the first identification information matches the sample tube information, the position of the robotic arm is adjusted according to the first identification information to grip the sample tube and move the sample tube to the second identification area;

[0012] Obtain sample information from the sample tube located in the second recognition area.

[0013] In one embodiment, the first identification information includes the overall size information of the sample tube; then the step of adjusting the position of the robotic arm according to the first identification information to grip the sample tube and move the sample tube to the second identification area includes:

[0014] The position of the robotic arm is adjusted based on the overall size information of the sample tube to grip the sample tube and move it to the second recognition area.

[0015] In one embodiment, a mark is provided on the side wall of the sample tube, the area of ​​the sample tube with the mark is the mark area, the area where the recognition mechanism acquires the image information of the sample tube is the recognition area, the recognition mechanism can successfully recognize the sample information, and the maximum allowable mark area is the preset mark area; the step of acquiring the sample information of the sample tube located in the second recognition area includes:

[0016] The control and recognition mechanism acquires second image information from the sample tube located in the second recognition area;

[0017] Based on the information in the second image, determine whether the sample tube contains a marked area;

[0018] If the sample tube in the second image information has a marked area, then the marked area is compared with the preset marked area;

[0019] If the marked area is larger than the preset marked area, then the angle information is obtained based on the marked area;

[0020] The robotic arm is controlled to rotate the sample tube based on the angle information;

[0021] The control and identification mechanism takes a picture of the sample tube located in the second identification area and obtains third image information;

[0022] Sample information is obtained based on third-party image information.

[0023] In one embodiment, if the marked area is larger than a preset marked area, the step of obtaining angle information based on the marked area includes:

[0024] If the marked area is larger than the preset marked area and greater than or equal to the recognition area, then control the robot arm to rotate by the preset angle;

[0025] The control and recognition mechanism acquires fourth image information from the sample tube after it has been rotated by a preset angle;

[0026] Based on the information in the fourth image, determine whether the sample tube contains a marked area;

[0027] If the sample tube in the fourth image information has a marked area, then the marked area is compared with the preset marked area;

[0028] If the marked area is larger than the preset marked area and smaller than the recognition area, then the angle information is obtained based on the marked area.

[0029] In one embodiment, the portion of the sample tube sidewall not covered by the marking is a blank area; if the marking area is larger than a preset marking area, the step of obtaining angle information based on the marking area can also be:

[0030] If the marked area is larger than the preset marked area and smaller than the recognition area, then the angle information is obtained based on the blank area and / or marked area of ​​the second image information.

[0031] In one embodiment, the sidewall of the sample tube is marked, the area marked is called the marking area, the area without marking is called the blank area, the area where the recognition mechanism acquires the image information of the sample tube is called the recognition area, and the minimum allowable blank area when the recognition mechanism can successfully recognize the sample information is called the preset blank area; the step of acquiring the sample information of the sample tube located in the second recognition area includes:

[0032] The control and recognition mechanism acquires second image information from the sample tube located in the second recognition area;

[0033] Based on the information in the second image, determine whether there is a blank area in the sample tube;

[0034] If there is a blank area in the sample tube in the second image information, the blank area is compared with the preset blank area;

[0035] If the blank area is smaller than the preset blank area, the angle information is obtained based on the blank area;

[0036] The robotic arm is controlled to rotate the sample tube based on the angle information;

[0037] The control and recognition mechanism takes a picture of the sample tube located in the second recognition area and acquires the fifth image information;

[0038] Sample information is obtained based on the information in the fifth image.

[0039] In one embodiment, the sidewall of the sample tube is marked, the area marked is called the marking area, the area without marking is called the blank area, the area where the recognition mechanism acquires the image information of the sample tube is called the recognition area, and the minimum allowable blank area when the recognition mechanism can successfully recognize the sample information is called the preset blank area; the step of acquiring the sample information of the sample tube located in the second recognition area includes:

[0040] The identification mechanism is controlled to acquire second image information from the sample tube located in the second identification area;

[0041] Based on the second image information, determine whether the sample tube has the blank area;

[0042] If the sample tube in the second image information does not have the blank area, then control the robotic arm to rotate by a preset angle;

[0043] The identification mechanism is controlled to acquire sixth image information from the sample tube after it has been rotated by the preset angle;

[0044] Based on the sixth image information, determine whether the sample tube has the blank area;

[0045] If the sample tube in the sixth image information contains the blank area, then the blank area is compared with the preset blank area;

[0046] If the blank area is smaller than the preset blank area, then angle information is obtained based on the blank area;

[0047] The robotic arm is controlled to rotate the sample tube based on the angle information;

[0048] The identification mechanism is controlled to capture images of the sample tube located in the second identification area and acquire fifth image information;

[0049] The sample information is obtained based on the fifth image information.

[0050] In one embodiment, the transport guide rail includes a guide rail body, a sample tube detection component, a tube seat detection component, and a blocking mechanism, with the sample tube disposed on the tube seat; the steps of controlling the transport guide rail to transport the sample tube to the first identification area and obtaining sample tube information through the sample tube information reading mechanism include:

[0051] The control tube socket detection device detects whether a tube socket is moving towards the first identification area;

[0052] If the tube holder moves toward the first identification area, the control of the sample tube detection device will detect whether a sample tube is placed on the tube holder.

[0053] If no sample tube is placed on the tube holder, the blocking mechanism will not block the tube holder;

[0054] If a sample tube is placed on the tube holder, the blocking mechanism will block the tube holder, causing it to remain in the first recognition area, and the sample tube information will be obtained through the sample tube information reading mechanism.

[0055] In one embodiment, after the step of obtaining sample information of the sample tube located in the second identification region, the method further includes:

[0056] The robotic arm is controlled to place the sample tube back into the tube holder;

[0057] Control the robotic arm to reset;

[0058] Control the release tube seat of the blocking mechanism.

[0059] The present invention also provides a computer-readable storage medium storing a control program, which, when executed by a processor, implements the above-described sample information recognition method.

[0060] The present invention also provides an identification device, including

[0061] Tube holder, the sample tube is placed on the tube holder;

[0062] Transport rails are used for transporting tube supports;

[0063] A sample tube information reading mechanism is used to identify sample tube information on the tube holder;

[0064] The identification mechanism is used to photograph the sample tube and obtain image information;

[0065] A robotic arm is used to grip sample tubes, facilitating image capture by the identification mechanism.

[0066] The control module is used to control the transport guide rail, sample tube information reading mechanism, recognition mechanism, and robot arm movements. The control module is also used to analyze the image information captured by the recognition mechanism.

[0067] In the above technical solution of the present invention, the sample tube is transported to the first identification area by a control guide rail, and the sample tube information is obtained through the sample tube information reading mechanism; the identification mechanism is controlled to take a picture of the sample tube to obtain the first image information; the first image information is parsed to obtain the first identification information; the first identification information is compared with the sample tube information; if the first identification information does not match the sample tube information, the sample tube is marked as an abnormal sample tube, and then the sample tube is transported to the abnormal storage area for storing abnormal sample tubes by the transport guide rail; if the first identification information matches the sample tube information, the position of the robotic arm is adjusted according to the first identification information to grasp the sample tube and move the sample tube to the second identification area; the sample information of the sample tube located in the second identification area is obtained, and the blood sample in the sample tube can be obtained according to the sample information to determine whether there is hemolysis, jaundice and chyle and the severity of the disease, thereby identifying abnormal samples that have a significant impact on the detection error; in addition, the sample information can be used to correct the analysis results of the analyzer, thereby reducing analysis errors and improving the working efficiency of the analyzer. Attached Figure Description

[0068] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0069] Figure 1 This is a flowchart illustrating the first embodiment of the sample information recognition method of the present invention;

[0070] Figure 2 This is a flowchart illustrating the second embodiment of the sample information recognition method of the present invention;

[0071] Figure 3 This is a flowchart illustrating the third embodiment of the sample information recognition method of the present invention;

[0072] Figure 4 This is a flowchart illustrating the fourth embodiment of the sample information recognition method of the present invention;

[0073] Figure 5 This is a flowchart illustrating the fifth embodiment of the sample information recognition method of the present invention;

[0074] Figure 6 This is a flowchart illustrating the sixth embodiment of the sample information recognition method of the present invention;

[0075] Figure 7 This is a flowchart illustrating the seventh embodiment of the sample information recognition method of the present invention;

[0076] Figure 8 This is a flowchart illustrating the eighth embodiment of the sample information recognition method of the present invention;

[0077] Figure 9 This is a flowchart illustrating the ninth embodiment of the sample information recognition method of the present invention;

[0078] Figure 10 This is a schematic diagram of the structure of an identification device according to an embodiment of the present invention.

[0079] Explanation of icon numbers:

[0080]

[0081] The realization of the objective, functional characteristics and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0082] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0083] It should be noted that all directional indications (such as up, down, etc.) in the embodiments of this invention are only used to interpret a specific posture (as shown in the attached diagram). Figure 1 The relative positions and movements of the components shown below are considered. If the specific posture changes, the directional indication will also change accordingly.

[0084] Furthermore, in this invention, descriptions involving "first," "second," etc., are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" can explicitly or implicitly include at least one of that feature.

[0085] Furthermore, the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are implemented by those skilled in the art. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0086] This invention provides a sample information identification method, specifically, see [link to relevant documentation]. Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the sample information recognition method of the present invention. The sample information recognition method includes:

[0087] S100: Control the transport guide rail to transport the sample tube to the first identification area, and obtain the sample tube information through the sample tube information reading mechanism;

[0088] The transport guide rail transports the tube holder containing the sample tube to the first identification area. The sample tube information reading mechanism acquires the sample tube information, which includes the tube cap color, sample tube height, and diameter. The sample tube information can be acquired during the transport of the sample tube to the first identification area or after the sample tube arrives at the first identification area. Acquiring the sample tube information in advance before sample testing helps staff or testing equipment to understand the size of the sample tube and the corresponding experimental project.

[0089] S200, controls the recognition mechanism to acquire the first image information of the sample tube;

[0090] The sample tube is transported to the first recognition area via a transport guide rail. Before the robotic arm moves, the recognition mechanism is controlled to photograph the sample tube, thereby acquiring first image information of the sample tube located in the first recognition area. In this embodiment, image information is acquired by photographing; in other possible embodiments, it can also be acquired by scanning or other methods.

[0091] S300, parse the first image information and obtain the first recognition information;

[0092] After acquiring the first image information, the control module then parses the first image information, that is, it uses an algorithm to determine the height and diameter information of the sample tube.

[0093] S400, compare the first identification information with the sample tube information;

[0094] Both the first identification information and the sample tube information include the height and diameter of the sample tube. By comparing the first identification information and the sample tube information, the correct sample tube located on the holder is confirmed, avoiding situations where the equipment cannot properly detect the sample tube or the detection data is inaccurate due to a mismatch between the first identification information and the actual information of the sample tube. It is understood that the sample tube information can be identified and recorded by the control module when the sample tube is transported to the transport track, or it can be manually entered into the control module by the user and recorded therein. It should be noted that both the first identification information and the sample tube information also include the color information of the sample tube cap. Different colored caps correspond to different categories, types, additives, tube materials, applicable scopes, and basic specifications of the sample tube. For example, a red cap corresponds to a serum sample tube without additives, green to a plasma sample tube with heparin, and purple to a whole blood sample tube for routine blood tests.

[0095] S500, if the first identification information matches the sample tube information, then adjust the position of the robotic arm according to the first identification information to grip the sample tube and move the sample tube to the second identification area;

[0096] If the first identification information matches the sample tube information, it proves that the correct sample tube is placed on the holder. Conversely, if the first identification information does not match the sample tube information, it proves that the sample tube is abnormal. The sample tube is then transported to the abnormal storage area for storing abnormal sample tubes via the transport guide rail. The robotic arm can grasp the sample tube according to the sample tube information and lift it to the second identification area so that the identification mechanism can take a picture and improve the identification accuracy.

[0097] S600, acquire sample information of the sample tube located in the second recognition area;

[0098] By acquiring sample information from the sample tube in the second identification area, the sample can be detected. Based on the sample information, relevant information that has a significant impact on the detection error can be obtained, such as whether the blood sample in the sample tube has hemolysis, jaundice, chyle, and information on the severity of the disease.

[0099] This invention proposes a sample information identification method, which involves controlling a guide rail to transport a sample tube to a first identification area, acquiring sample tube information through a sample tube information reading mechanism, controlling the identification mechanism to capture a first image of the sample tube, parsing the first image information to obtain first identification information, comparing the first identification information with the sample tube information, marking the sample tube as an abnormal sample tube if the first identification information does not match, and then transporting the sample tube to an abnormal storage area for storing abnormal sample tubes via the transport guide rail, and adjusting the position of the robotic arm to grasp the sample tube and move it to a second identification area if the first identification information matches the sample tube information, acquiring sample information of the sample tube located in the second identification area, and obtaining information on whether the blood sample in the sample tube exhibits hemolysis, jaundice, and chyle, as well as the severity of the disease, thereby identifying abnormal samples that have a significant impact on detection errors; in addition, this sample information can be used to correct the analysis results of the analyzer, thereby reducing analysis errors and improving the working efficiency of the analyzer.

[0100] Furthermore, the sample tube information and the first identification information include the overall size information of the sample tube and the color information of the sample tube cap; then the step of adjusting the position of the robotic arm according to the first identification information to grip the sample tube and move the sample tube to the second identification area includes:

[0101] S501, based on the overall size information of the sample tube, adjusts the position of the robotic arm to grip the sample tube and move it to the second recognition area.

[0102] The overall dimensions of the sample tube include its height and diameter. The control module uses the height information to guide the robotic arm to descend to a height matching the sample tube's height. Then, based on the diameter information, it controls the opening and closing of the robotic arm's grippers to smoothly grasp the sample tube. This precise gripping of the sample tube using both height and diameter information improves gripping efficiency. Furthermore, using the diameter information prevents excessive clamping force that could damage the sample tube.

[0103] See Figure 2 , Figure 2 This is a flowchart illustrating the second embodiment of the sample information identification method of the present invention. Step S600 includes:

[0104] S601, control the recognition mechanism to acquire second image information from the sample tube located in the second recognition area;

[0105] S602, Based on the second image information, determine whether the sample tube has a marked area;

[0106] S603, if the sample tube in the second image information has a marked area, then the marked area is compared with the preset marked area;

[0107] S604, If the marked area is larger than the preset marked area, then obtain the angle information based on the marked area;

[0108] S605 controls the robotic arm to rotate the sample tube based on angle information;

[0109] S606, control the identification mechanism to take a picture of the sample tube located in the second identification area and obtain third image information;

[0110] S607, obtain sample information based on third image information.

[0111] The sample tube has labels affixed to its sidewalls, recording information such as the test items to be performed on the sample. The area of ​​the sample tube with labels is defined as the label area, and the part not covered by labels is defined as the blank area. The area where the recognition mechanism acquires image information of the sample tube is defined as the recognition area, that is, the area occupied by the sample tube in the image after the recognition area is captured. If there are too many label areas in the recognition area, it will affect the detection of the sample and make it impossible to accurately identify the sample information inside the sample tube. Therefore, a preset label area is set in the control module in advance, that is, the maximum label area allowed to exist while the recognition mechanism can successfully identify the sample information.

[0112] After the identification mechanism takes an image, if it finds that there is no marked area or the marked area is smaller than or equal to the preset marked area, it can directly identify the sample information in the sample tube. If a marked area is found that is larger than the preset identification area, the robotic arm needs to be rotated at a certain angle to make the marked area smaller than or equal to the preset marked area so that the identification mechanism can successfully identify the sample information.

[0113] It is understandable that when comparing the preset label area with the label area, the comparison is made by their areas. The area of ​​the preset label area can be zero or other values.

[0114] See Figure 3 , Figure 3 This is a flowchart illustrating the third embodiment of the sample information identification method of the present invention. Step S604 includes:

[0115] S6041, If ​​the marked area is larger than the preset marked area and is greater than or equal to the recognition area, then control the robot arm to rotate by a preset angle;

[0116] S6042, control the recognition mechanism to take a picture of the sample tube after it has been rotated by a preset angle and obtain the fourth image information;

[0117] S6043, Based on the fourth image information, determine whether the sample tube has a marked area;

[0118] S6044, If the sample tube in the fourth image information has a marked area, then compare the marked area with the preset marked area;

[0119] S6045, if the marked area is larger than the preset marked area and smaller than the recognition area, then obtain the angle information based on the marked area;

[0120] If the marked area is larger than the preset marked area and greater than or equal to the recognition area (meaning the image recognizes only the marked area), a preset rotation angle for the robotic arm is established within the control module, such as 30°, 45°, 60°, 75°, or 90°. This angle does not include 360° or multiples of 360°. The purpose of rotating by the preset angle is to rotate the blank area into the recognition area of ​​the recognition mechanism. Simultaneously, a preset number of rotations is established in the control module. During rotation, the number of rotations is recorded. If the preset number of rotations is exceeded, the sample tube is marked as an abnormal sample tube and transported to the abnormal storage area via a transport rail. The preset number of rotations can be the number of rotations required for one complete revolution of the robotic arm.

[0121] See Figure 4 , Figure 4 This is a flowchart illustrating the fourth embodiment of the sample information recognition method of the present invention. Step S604 includes:

[0122] S6041' If the marked area is larger than the preset marked area and smaller than the recognition area, then angle information is obtained based on the blank area and / or marked area of ​​the second image information.

[0123] By comparing the marked area in the second image information with the preset marked area, if the marked area is larger than the preset marked area but smaller than the recognition area, the angle information can be obtained directly from the second image information without the need for the preset angle rotation process, thereby improving the detection efficiency.

[0124] This embodiment uses the area information of the identified region and / or the marked region to specifically illustrate how angle information can be obtained. In other embodiments, angle information can also be obtained in other ways.

[0125] For the same type of sample tube, the height of the sample tube is fixed within the second recognition area. By analyzing the second image information, the area information of the blank area and the marked area is obtained. Through calculation, the arc length of the sample tube's cross-section occupied by the blank area and the marked area can be obtained. Then, by converting the arc length into the angle of the sample tube's cross-section, the required rotation angle of the sample tube can be determined. Alternatively, when the recognition mechanism captures images of the sample tube, the area occupied by each image is fixed, meaning the angle of the sample tube's cross-section is also fixed. By calculating the ratio of the area of ​​the blank area to the area of ​​the marked area, the required rotation angle of the sample tube can be calculated. Simultaneously, obtaining the area information also reveals the positional relationship between the blank area and the marked area, such as the blank area being to the left or right of the marked area. After obtaining the angle and position information, it can be determined how much the robotic arm needs to rotate clockwise or counterclockwise for the recognition mechanism to successfully identify the sample information within the blank area. For example, if the blank area is to the left of the marking area, and the marking area occupies a 10° angle on the sample tube's cross-section, controlling the robotic arm to rotate counterclockwise by 10° will bring the entire blank area within the recognition area. As another example, if the recognition area occupies a 30° angle on the sample tube's cross-section, and the blank area is to the right of the marking area, and the blank area occupies a 10° angle on the sample tube's cross-section, controlling the robotic arm to rotate clockwise by 20° will bring the entire blank area within the recognition area.

[0126] See Figure 5 When the identification agency can successfully identify the sample information, the minimum allowable blank area is the preset blank area; Figure 5 This is a flowchart illustrating the fifth embodiment of the sample information identification method of the present invention. Step S604 includes:

[0127] S6041'', controls the recognition mechanism to acquire second image information from the sample tube located in the second recognition area;

[0128] S6042'', Based on the second image information, determine whether there is a blank area in the sample tube;

[0129] S6043'', If there is a blank area in the sample tube in the second image information, then compare the blank area with the preset blank area;

[0130] S6044'', If the blank area is smaller than the preset blank area, then obtain the angle information based on the blank area;

[0131] S6045'' controls the robotic arm to rotate the sample tube based on angle information;

[0132] S6046'', control the identification mechanism to take a picture of the sample tube located in the second identification area and obtain the fifth image information;

[0133] S6047'', Sample information is obtained based on the fifth image information.

[0134] If the blank area is larger than the preset blank area, it proves that the control module can successfully parse the sample information based on the image captured by the recognition mechanism. If the blank area is smaller than the preset blank area, it is necessary to control the robot arm to rotate the corresponding corner according to the angle of the sample tube's cross-section occupied by the blank area, so that the image information of the sample tube captured by the recognition mechanism can enable the control module to successfully recognize the sample information. The specific process of obtaining the corresponding angle information is the same as in Embodiment 4, and will not be described in detail here.

[0135] See Figure 6 , Figure 6 This is a flowchart illustrating the sixth embodiment of the sample information recognition method of the present invention. Steps S6043''-S6044'' can also be:

[0136] S6043''', If there is no blank area in the sample tube in the second image information, control the robot arm to rotate by a preset angle;

[0137] S6044''', controls the recognition mechanism to acquire the sixth image information of the sample tube after it has been rotated by a preset angle;

[0138] S6045''', Based on the information in the sixth image, determine whether there is a blank area in the sample tube;

[0139] S6046''', If there is a blank area in the sample tube in the sixth image information, then compare the blank area with the preset blank area;

[0140] S6047''', If the blank area is smaller than the preset blank area, then obtain the angle information based on the blank area.

[0141] If the second image information contains no blank areas, meaning the image recognition only shows the marked areas, a preset rotation angle for the robotic arm is established within the control module, such as 30°, 45°, 60°, 75°, or 90°. This angle does not include 360° or multiples of 360°. The purpose of rotating by the preset angle is to move the blank areas into the recognition area of ​​the recognition mechanism. Simultaneously, a preset number of rotations is established in the control module. During rotation, the number of rotations is recorded. If the preset number of rotations is exceeded, the sample tube is marked as an abnormal sample tube, and then transported to the abnormal storage area via a transport rail. The preset number of rotations can be the number of rotations required for one complete revolution of the robotic arm.

[0142] See Figure 7 , Figure 7 This is a flowchart illustrating the seventh embodiment of the sample information recognition method of the present invention. The size information includes height information and pipe diameter information; step S501 includes:

[0143] S5011, based on the height information, controls the robotic arm to move the first displacement to a position where it can grasp the sample tube;

[0144] S5012, controls a robotic arm to grip sample tubes based on pipe diameter information;

[0145] S5013, based on the height information, controls the robotic arm to rise to the second displacement and lift the sample tube to the second recognition area.

[0146] Because sample tubes of different specifications have different heights, the height of their caps on the tube holders also varies. If the robotic arm descends to the same height to grasp all sample tubes, it might be able to grasp tubes with higher cap heights but not those with lower cap heights. Therefore, the robotic arm moves its first displacement to a position where it can grip the sample tubes. This first displacement is not constant but adapted to the height information. The height information controls the robotic arm's movement to a position where it can grip the sample tubes accurately. The robotic arm then uniformly grasps the caps of the sample tubes and lifts them to the second recognition area. If the lifting height is uniform, only some sample tubes of different heights might be successfully lifted to the second recognition area. Therefore, after grasping the sample tubes, the robotic arm needs to be raised to a second displacement based on the height information. The size of this second displacement is adapted to the height information to ensure that sample tubes of different heights are lifted to the second recognition area.

[0147] See Figure 8 , Figure 8 This is a flowchart illustrating the eighth embodiment of the sample information recognition method of the present invention. The transport guide rail includes a guide rail body, a sample tube detection component, a tube seat detection component, and a blocking mechanism. The sample tube is disposed on the tube seat. Step S100 includes:

[0148] S101, the control tube socket detection device detects whether a tube socket is moving toward the first identification area;

[0149] S102, if the tube holder moves toward the direction of the first identification area, the sample tube detection device is controlled to detect whether a sample tube is placed on the tube holder;

[0150] S103, If no sample tube is placed on the tube holder, the blocking mechanism will not block the tube holder;

[0151] S104, if a sample tube is placed on the tube holder, the blocking mechanism is controlled to block the tube holder, so that the tube holder stays in the first identification area, and the sample tube information is obtained through the sample tube information reading mechanism.

[0152] The tube holder detection device detects whether a tube holder is near the first identification area. If no tube holder is near the first identification area, step S101 is repeated. If a tube holder is near the first identification area, the sample tube detection device is controlled to detect whether a sample tube is placed on the tube holder. If no sample tube is placed on the tube holder, the blocking mechanism does not block the tube holder. If a sample tube is placed on the tube holder, the blocking mechanism blocks the tube holder. At the same time, the sample tube information is obtained through the sample tube information reading mechanism to improve detection efficiency.

[0153] See Figure 9 , Figure 9 This is a flowchart illustrating the ninth embodiment of the sample information recognition method of the present invention. After step S600, the method further includes:

[0154] S700 controls the robotic arm to place the sample tube back into the tube holder;

[0155] S800 controls the robot arm to reset;

[0156] S900, control blocking mechanism release tube seat.

[0157] After the control module obtains the sample information, it controls the robotic arm to put the sample tube back into the tube holder. The robotic arm resets, and at the same time, the blocking mechanism releases the tube holder. Then, the steps of S101 are repeated.

[0158] In addition, to solve the above problems, the present invention also provides a computer-readable storage medium storing a control program, which, when executed by a processor, implements the steps of the sample information recognition method described above.

[0159] In addition, see Figure 10The present invention also provides an identification device 1, which includes a tube holder 11, a transport guide rail 13, a sample tube information reading mechanism 14, an identification mechanism 15, a robotic arm 16, and a control module. A sample tube 12 is placed on the tube holder 11; the transport guide rail is used to transport the tube holder 11; the sample tube information reading mechanism is used to identify the sample tube information on the tube holder 11; the identification mechanism is used to capture images of the sample tube 12 to obtain image information; the robotic arm is used to grip the sample tube 12 to facilitate the identification mechanism 15's image capture; the control module is used to control the movements of the transport guide rail 13, the sample tube information reading mechanism 14, the identification mechanism 15, and the robotic arm 16, and the control module is also used to analyze the image information captured by the identification mechanism 15. It should be noted that a first identification area 171 and a second identification area 172 are provided above the transport guide rail 13. The second identification area 172 is located above the first identification area 171, and the identification mechanism 15 is located within the second identification area 172. The transport guide rail 13 includes a guide rail body 131, a sample tube detection component, a tube holder detection component, and a blocking mechanism 132.

[0160] The guide rail transports the sample tube to the first identification area 171, where the sample tube information is acquired through the sample tube information reading mechanism. The identification mechanism is controlled to capture a first image of the sample tube. The first image information is analyzed to obtain first identification information. The first identification information is compared with the sample tube information. If the first identification information does not match the sample tube information, the sample tube is marked as an abnormal sample tube and transported to the abnormal storage area for storing abnormal sample tubes via the transport guide rail 13. If the first identification information matches the sample tube information, the position of the robotic arm 16 is adjusted according to the first identification information to grip the sample tube and move it to the second identification area 172. Sample information of the sample tube located in the second identification area 172 is acquired. Based on the sample information, information can be obtained regarding whether the blood sample in the sample tube exhibits hemolysis, jaundice, or chyle, as well as the severity of the disease, thereby identifying abnormal samples that significantly affect detection errors. Furthermore, this sample information can be used to correct the analyzer's analysis results, thereby reducing analysis errors and improving the analyzer's working efficiency.

[0161] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural transformations made under the concept of the present invention using the contents of the specification and drawings of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A sample information recognition method characterized by comprising: The method comprises the following steps: controlling a transport rail to transport a sample tube to a first identification area, and acquiring sample tube information by a sample tube information reading mechanism; controlling an identification mechanism to acquire first image information of the sample tube; analyzing the first image information to acquire first identification information; comparing the first identification information with the sample tube information; if the first identification information matches the sample tube information, adjusting the position of a mechanical hand according to the first identification information to clamp the sample tube and move the sample tube to a second identification area; acquiring sample information of the sample tube located in the second identification area; a side wall of the sample tube is provided with an identification, an area of the sample tube provided with the identification is an identification area, an area of the identification mechanism acquiring the image information of the sample tube is an identification area, the identification mechanism can successfully identify the sample information, and the identification area is allowed to exist maximally, and the identification area is a preset identification area; the step of acquiring the sample information of the sample tube located in the second identification area comprises: controlling the identification mechanism to acquire second image information of the sample tube located in the second identification area; judging whether the sample tube has the identification area according to the second image information; if the sample tube in the second image information has the identification area, comparing the identification area with a preset identification area; if the identification area is greater than the preset identification area, acquiring angle information according to the identification area; controlling the mechanical hand to rotate the sample tube according to the angle information; controlling the identification mechanism to shoot the sample tube located in the second identification area and acquire third image information; obtaining the sample information based on the third image information.

2. The sample information recognition method according to claim 1, characterized by, the first identification information comprises size information of the whole sample tube; the step of adjusting the position of the mechanical hand according to the first identification information to clamp the sample tube and move the sample tube to the second identification area comprises: adjusting the position of the mechanical hand according to the size information of the whole sample tube to clamp the sample tube and move the sample tube to the second identification area.

3. The sample information recognition method according to claim 1, characterized by, the step of acquiring angle information according to the identification area if the identification area is greater than the preset identification area comprises: if the identification area is greater than the preset identification area and greater than or equal to the identification area, controlling the mechanical hand to rotate by a preset angle; controlling the identification mechanism to acquire fourth image information of the sample tube after rotating by the preset angle; judging whether the sample tube has the identification area according to the fourth image information; if the sample tube in the fourth image information has the identification area, comparing the identification area with the preset identification area; if the identification area is greater than the preset identification area and smaller than the identification area, acquiring angle information according to the identification area.

4. The sample information recognition method according to claim 1, characterized by, a part of the side wall of the sample tube not covered by the identification is a blank area; the step of acquiring angle information according to the identification area if the identification area is greater than the preset identification area comprises: If the identification area is greater than the preset identification area and less than the identification area, angle information is obtained according to the blank area and / or the identification area of the second image information.

5. The sample information recognition method according to claim 2, characterized by, The side wall of the sample tube is provided with an identification, the area provided with the identification is an identification area, the area without the identification is a blank area, the area where the identification mechanism obtains the image information of the sample tube is an identification area, and when the identification mechanism can successfully identify sample information, the smallest blank area allowed is a preset blank area. The step of obtaining sample information of the sample tube located in the second identification area comprises: controlling the identification mechanism to obtain second image information of the sample tube located in the second identification area; judging whether the sample tube has the blank area according to the second image information; if the sample tube in the second image information has the blank area, comparing the blank area with the preset blank area; if the blank area is smaller than the preset blank area, obtaining angle information according to the blank area; controlling the mechanical hand to rotate the sample tube according to the angle information; controlling the identification mechanism to take a photograph of the sample tube located in the second identification area and obtain fifth image information; obtaining the sample information based on the fifth image information.

6. The sample information recognition method according to claim 2, characterized by, The side wall of the sample tube is provided with an identification, the area provided with the identification is an identification area, the area without the identification is a blank area, the area where the identification mechanism obtains the image information of the sample tube is an identification area, and when the identification mechanism can successfully identify sample information, the smallest blank area allowed is a preset blank area. The step of obtaining sample information of the sample tube located in the second identification area comprises: controlling the identification mechanism to obtain second image information of the sample tube located in the second identification area; judging whether the sample tube has the blank area according to the second image information; if the sample tube in the second image information does not have the blank area, controlling the mechanical hand to rotate by a preset angle; controlling the identification mechanism to obtain sixth image information of the sample tube after rotating by the preset angle; judging whether the sample tube has the blank area according to the sixth image information; if the sample tube in the sixth image information has the blank area, comparing the blank area with the preset blank area; if the blank area is smaller than the preset blank area, obtaining angle information according to the blank area; controlling the mechanical hand to rotate the sample tube according to the angle information; controlling the identification mechanism to take a photograph of the sample tube located in the second identification area and obtain fifth image information; obtaining the sample information based on the fifth image information.

7. The sample information recognition method according to claim 2, 5, or 6, characterized by, The size information comprises height information and pipe diameter information; and the step of adjusting the position of the mechanical hand based on the size information of the whole sample tube to clamp and move the sample tube to a second identification area comprises: controlling the manipulator to move a first displacement according to the height information to a position capable of clamping the sample tube; controlling the manipulator to clamp the sample tube according to the tube diameter information; controlling the manipulator to ascend a second displacement according to the height information to lift the sample tube to the second identification area.

8. The sample information recognition method according to any one of claims 2 to 6, characterized by, The transport guide rail comprises a guide rail body, a sample tube detection member, a tube seat detection member and a blocking mechanism, the sample tube is arranged on the tube seat; the steps of controlling the transport guide rail to transport the sample tube to the first identification area and acquiring sample tube information by the sample tube information reading mechanism comprise: controlling the tube seat detection member to detect whether a tube seat moves in a direction close to the first identification area; if the tube seat moves in the direction close to the first identification area, controlling the sample tube detection member to detect whether the sample tube is placed on the tube seat; if the sample tube is not placed on the tube seat, the blocking mechanism does not block the tube seat; if the sample tube is placed on the tube seat, controlling the blocking mechanism to block the tube seat so that the tube seat stays in the first identification area, and acquiring the sample tube information by the sample tube information reading mechanism.

9. The sample information recognition method according to claim 8, characterized by, After the step of acquiring sample information of the sample tube located in the second identification area, the method further comprises: controlling the manipulator to place the sample tube back on the tube seat; controlling the manipulator to reset; controlling the blocking mechanism to release the tube seat. 10.A computer readable storage medium, characterized in that, a control program is stored on the computer readable storage medium, and the control program is executed by a processor to implement the sample information identification method according to any one of claims 1 to 9.

11. An identification device for identifying a sample in a sample tube, characterized by The identification device is suitable for the sample information identification method according to any one of claims 1 to 9, and the identification device comprises: a tube seat, on which the sample tube is placed; a transport guide rail for transporting the tube seat; a sample tube information reading mechanism for identifying sample tube information on the tube seat; an identification mechanism for photographing the sample tube to obtain image information; a manipulator for clamping the sample tube to facilitate photographing by the identification mechanism; a control module for controlling the transport guide rail, the sample tube information reading mechanism, the identification mechanism and the manipulator, and the control module is further used for analyzing the image information photographed by the identification mechanism.

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