CN117554601B - Detection data management method, device, equipment and storage medium - Google Patents

Detection data management method, device, equipment and storage medium Download PDF

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CN117554601B
CN117554601B CN202410048858.9A CN202410048858A CN117554601B CN 117554601 B CN117554601 B CN 117554601B CN 202410048858 A CN202410048858 A CN 202410048858A CN 117554601 B CN117554601 B CN 117554601B
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test strip
target
image
target test
detection
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CN117554601A (en
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陈越云
陈曦
林鹤全
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Shanmu Shenzhen Biotechnology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483—Physical analysis of biological material
    • G01N33/487—Physical analysis of biological material of liquid biological material
    • G01N33/493—Physical analysis of biological material of liquid biological material urine
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00732—Identification of carriers, materials or components in automatic analysers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00732—Identification of carriers, materials or components in automatic analysers
    • G01N2035/00821—Identification of carriers, materials or components in automatic analysers nature of coded information
    • G01N2035/00841—Identification of carriers, materials or components in automatic analysers nature of coded information results of the analyses
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
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  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The invention provides a detection data management method, a device, equipment and a storage medium, wherein the method comprises the following steps: determining a target test strip according to a to-be-detected item of urine to be detected, and controlling a chemical reaction detection mechanism to move a partition grid corresponding to the target test strip to a test position in the chemical reaction detection mechanism so that the urine to be detected reacts with the target test strip; when the reaction is completed, analyzing and identifying the target test strip through the identification equipment to obtain a detection result and a target identification code of the target test strip, and obtaining an association relation between the detection result and the target identification code; and sending the detection result corresponding to the target identification code to the corresponding user equipment according to the association relation. According to the method, the detection result is associated with the target identification code, so that a user can obtain the detection result associated with the target identification code at any time through the scanning equipment, historical detection data can be easily compared, analyzed and traced, and more scientific basis is provided for health management and disease prevention.

Description

Detection data management method, device, equipment and storage medium
Technical Field
The present invention relates to the field of liquid detection, and in particular, to a detection data management method, device, apparatus, and storage medium.
Background
Urine testing is a common body fluid testing modality in today's society and has wide application in clinical medicine and personal health management. However, the conventional urine detection method has a plurality of defects in data management. The management of urine detection data in the traditional mode is often stored in a manual record or simple electronic form due to the lack of an effective data storage and arrangement mechanism, and the mode is easy to cause data omission and errors, and causes a plurality of inconveniences for subsequent application and analysis of the data.
Disclosure of Invention
The invention mainly aims to solve the technical problem that the data omission and errors are easily caused by the data management of the existing urine detection data.
The first aspect of the present invention provides a detection data management method applied to a chemical reaction inspection mechanism, the chemical reaction inspection mechanism being provided with a plurality of compartments and identification devices, each compartment being provided with a corresponding urine test strip, the detection data management method comprising:
acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the chemical reaction checking mechanism to move a partition grid corresponding to the target test strip to a testing position in the chemical reaction checking mechanism;
When the partition grid corresponding to the target test strip is positioned at the test position in the chemical reaction test mechanism, the urine to be detected reacts with the target test strip;
when the urine to be detected and the target test strip complete reaction, analyzing and identifying the target test strip through the identifying equipment to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation;
and sending the detection result corresponding to the target identification code to corresponding user equipment according to the association relation.
Optionally, in a first implementation manner of the first aspect of the present invention, the chemical reaction checking mechanism includes one of a rotary reaction checking mechanism and a winding reaction checking mechanism, when the chemical reaction checking mechanism is a rotary reaction checking mechanism, each urine test strip is annularly arranged in different compartments according to a rotary structure of the rotary reaction checking mechanism, each urine test strip is attached with a corresponding identification code, when the chemical reaction checking mechanism is a winding reaction checking mechanism, each urine test strip is sequentially arranged in different compartments according to a winding structure of the winding reaction checking mechanism, each compartment is provided with a corresponding placement area, and the placement area is placed with a corresponding identification code;
The step of obtaining a to-be-detected item of urine to be detected, and determining a target test strip according to the to-be-detected item, and the step of controlling the chemical reaction checking mechanism to move the partition corresponding to the target test strip to a testing position in the chemical reaction checking mechanism comprises the following steps:
when the chemical reaction checking mechanism is a rotary reaction checking mechanism, acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, controlling the rotary reaction checking mechanism to rotate so that a partition grid corresponding to the target test strip is positioned at a testing position in the rotary reaction checking mechanism, or,
when the chemical reaction checking mechanism is a winding type reaction checking mechanism, acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the winding type reaction checking mechanism to wind, so that a partition grid corresponding to the target test strip is positioned at a testing position in the winding type reaction checking mechanism.
Optionally, in a second implementation manner of the first aspect of the present invention, the identification device includes a camera device;
when the urine to be detected and the target test strip complete the reaction, analyzing and identifying the target test strip through the identifying equipment to obtain a detection result and a target identification code corresponding to the target test strip, and associating the detection result with the target identification code to obtain an association relationship, wherein the obtaining the association relationship comprises the following steps:
When the urine to be detected and the target test strip complete reaction, shooting the target test strip through the camera equipment to obtain a detection image;
performing detection analysis and image recognition on the detection image to obtain a detection result and a target identification code corresponding to the target test strip;
and correlating the detection result with the target identification code to obtain a correlation.
Optionally, in a third implementation manner of the first aspect of the present invention, the identification device further includes a radio frequency identification device, and a radio frequency tag is installed inside the urine test strip;
when the urine to be detected and the target test strip complete the reaction, analyzing and identifying the target test strip through the identifying equipment to obtain a detection result and a target identification code corresponding to the target test strip, correlating the detection result with the target identification code, and obtaining a correlation relationship further comprises:
when the urine to be detected and the target test strip complete the reaction, the radio frequency identification equipment carries out radio frequency identification on the radio frequency tag in the target test strip to obtain a target identification code of the target test strip;
Shooting the target test strip through the camera equipment to obtain a detection image, and detecting and analyzing the detection image to obtain a detection result;
and correlating the detection result with the target identification code to obtain a correlation.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the urine test strip has a plurality of reaction intervals, and the camera device is a line camera;
shooting the target test strip through the camera equipment to obtain a detection image, and carrying out detection analysis on the detection image to obtain a detection result comprises the following steps:
shooting the target test strip through the linear array camera to obtain a detection image;
determining a plurality of reaction regions of the target test strip according to the item to be detected, and carrying out image recognition on the detection image according to the plurality of reaction regions of the target test strip to obtain a plurality of region images;
and detecting and analyzing the plurality of interval images to obtain a plurality of corresponding detection results.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the performing detection analysis on the plurality of interval images to obtain a plurality of corresponding detection results includes:
Selecting a current analysis image from the plurality of interval images, and performing color calibration processing on the current analysis image to obtain a calibration image;
extracting features of the calibration image to obtain image features corresponding to the calibration image, and calculating feature similarity of the image features and a plurality of comparison features corresponding to the items to be detected;
based on a preset mapping relation, taking a detection result corresponding to the comparison feature with the maximum feature similarity as a detection result corresponding to the current analysis image;
and re-selecting the interval image which is not subjected to detection analysis from the interval images as a current analysis image until the interval images complete detection analysis, and obtaining a plurality of detection results.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the selecting a current analysis image from the plurality of interval images, and performing color calibration processing on the current analysis image, to obtain a calibration image includes:
selecting a current analysis image from the plurality of interval images, and inputting the current analysis image into a preset color calibration model, wherein the color calibration model comprises a generator and a discriminator based on generation of an countermeasure network, and the generator comprises an encoder and a decoder;
Performing feature extraction and downsampling on the current analysis image through an encoder in the generator to obtain a feature map of the current analysis image, wherein the feature map comprises high-level semantic features and low-level detail features;
performing up-sampling processing on the feature map through a decoder in the generator, and performing feature fusion on high-level semantic features and low-level detail features in the feature map to obtain fusion features;
and carrying out image reconstruction according to the fusion characteristics to generate a calibration image corresponding to the current analysis image.
The second aspect of the invention provides a detection data management device, which is applied to a chemical reaction checking mechanism, wherein the chemical reaction checking mechanism is provided with a plurality of separation grids and identification equipment, and each separation grid is provided with a corresponding urine test strip; the detection data management device includes:
the acquisition module is used for acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the chemical reaction inspection mechanism to move a partition grid corresponding to the target test strip to a test position in the chemical reaction inspection mechanism;
The reaction module is used for enabling the urine to be detected to react with the target test strip when the partition grid corresponding to the target test strip is positioned at the test position in the chemical reaction test mechanism;
the analysis module is used for analyzing and identifying the target test strip through the identification equipment when the urine to be detected and the target test strip are reacted, so as to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation;
and the sending module is used for sending the detection result corresponding to the target identification code to the corresponding user equipment according to the association relation.
A third aspect of the present invention provides a detection data management apparatus comprising: a memory and at least one processor, the memory having instructions stored therein, the memory and the at least one processor being interconnected by a line; the at least one processor invokes the instructions in the memory to cause the test data management apparatus to perform the steps of the test data management method described above.
A fourth aspect of the present invention provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the steps of the detection data management method described above.
According to the detection data management method, the detection data management device, the detection data management equipment and the storage medium, the target test strip is determined according to the item to be detected, and urine to be detected reacts with the target test strip; when urine to be detected and a target test strip finish reaction, analyzing and identifying the target test strip through an identifying device to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation; when the user scans the target identification code, the detection result corresponding to the target identification code is sent to the scanning equipment of the user according to the association relation. According to the method, the detection result is associated with the target identification code, so that a user can obtain the detection result associated with the target identification code at any time through the scanning equipment, historical detection data can be easily compared, analyzed and traced, and more scientific basis is provided for health management and disease prevention.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
FIG. 1 is a diagram illustrating an embodiment of a method for managing detection data according to an embodiment of the present invention;
FIG. 2 is a diagram of an embodiment of a detection data management apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another embodiment of a detection data management apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an embodiment of a detection data management device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "comprising" and "having" and any variations thereof, as used in the embodiments of the present invention, are intended to cover non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
For the sake of understanding the present embodiment, first, a detailed description will be given of a detection data management method disclosed in the present embodiment, where the detection data management method is applied to a chemical reaction checking mechanism, and the chemical reaction checking mechanism is provided with a plurality of compartments and a recognition device, where each compartment is placed with a corresponding urine test strip. As shown in fig. 1, the method for detecting data management includes the following steps:
101. acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the chemical reaction checking mechanism to move a partition grid corresponding to the target test strip to a testing position in the chemical reaction checking mechanism;
in this embodiment, acquiring a item to be detected of urine to be detected is the first step of the flow. By collecting urine samples to be detected and analyzing, the items to be detected, such as glucose, white blood cells, ketone bodies and the like, are determined. After the item to be detected is determined, the system automatically identifies and determines the target test strip. Each item to be detected corresponds to a specific compartment in the chemical reaction testing mechanism in which a corresponding urine test strip, i.e. a target test strip, is placed.
In one embodiment of the invention, the chemical reaction checking mechanism comprises one of a rotary reaction checking mechanism and a winding reaction checking mechanism, when the chemical reaction checking mechanism is the rotary reaction checking mechanism, each urine test strip is annularly arranged in different partitions according to the rotary structure of the rotary reaction checking mechanism, each urine test strip is attached with a corresponding identification code, when the chemical reaction checking mechanism is the winding reaction checking mechanism, each urine test strip is sequentially arranged in different partitions according to the winding structure of the winding reaction checking mechanism, each partition is provided with a corresponding placement area, and the placement area is provided with a corresponding identification code; the step of obtaining a to-be-detected item of urine to be detected, and determining a target test strip according to the to-be-detected item, and the step of controlling the chemical reaction checking mechanism to move the partition corresponding to the target test strip to a testing position in the chemical reaction checking mechanism comprises the following steps: when the chemical reaction checking mechanism is a rotary reaction checking mechanism, acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, controlling the rotary reaction checking mechanism to rotate so that a partition corresponding to the target test strip is positioned at a test position in the rotary reaction checking mechanism, or when the chemical reaction checking mechanism is a winding reaction checking mechanism, acquiring the to-be-detected item of urine to be detected, determining the target test strip according to the to-be-detected item, and controlling the winding reaction checking mechanism to wind so that a partition corresponding to the target test strip is positioned at a test position in the winding reaction checking mechanism.
In particular, the chemical reaction testing mechanism may include various forms, in this embodiment one of a rotary reaction testing mechanism and a roll-to-roll reaction testing mechanism, where for the structure of the rotary reaction testing mechanism, it is common to include a circular platform having a plurality of compartments, in which test strips may be annularly arranged according to the rotary structure. The whole platform can rotate through a motor or other driving devices, so that the test paper strips can move annularly between different partitions. For the construction of the roll-to-roll reaction test mechanism, which typically includes a reel-like structure, the test strips may be sequentially arranged in different compartments on the reel. The whole winding structure can be wound through a motor or other driving devices, so that the test paper strips can sequentially move among different separation grids. When the test device moves to enable the partition corresponding to the target test strip to move to the test position, the rotary reaction checking mechanism can enable the platform to rotate by controlling the driving device, and the partition corresponding to the target test strip can be moved to the test position. In the winding reaction checking mechanism, the driving device is controlled to wind the winding structure, and the partition corresponding to the target test strip is moved to the testing position. This ensures that the target test strip is in the proper position for subsequent chemical reaction testing. The test position may be a position of a liquid inlet pair arranged inside the chemical reaction checking mechanism, and the liquid inlet is used for allowing a sample of urine to be detected to enter.
102. When the partition grid corresponding to the target test strip is positioned at the test position in the chemical reaction test mechanism, the urine to be detected reacts with the target test strip;
in one embodiment of the invention, once the target test strip is in the test position, the system will perform the application of the urine sample. The invention is not limited to the reaction mode of the separation grid corresponding to the target test strip after the separation grid is positioned at the testing position in the chemical reaction checking mechanism.
103. When urine to be detected and a target test strip finish reaction, analyzing and identifying the target test strip through an identifying device to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation;
in one embodiment of the invention, the identification device comprises a camera device; when the urine to be detected and the target test strip complete the reaction, analyzing and identifying the target test strip through the identifying equipment to obtain a detection result and a target identification code corresponding to the target test strip, and associating the detection result with the target identification code to obtain an association relationship, wherein the obtaining the association relationship comprises the following steps: when the urine to be detected and the target test strip complete reaction, shooting the target test strip through the camera equipment to obtain a detection image; performing detection analysis and image recognition on the detection image to obtain a detection result and a target identification code corresponding to the target test strip; and correlating the detection result with the target identification code to obtain a correlation.
Specifically, a camera built in the device is used for shooting the target test strip so as to acquire an image of the test strip. And sending the acquired test strip image into an image processing algorithm in the equipment for processing and analysis. These algorithms may include image recognition, edge detection, color analysis, etc. techniques to extract the detection result information on the test strip. And extracting the detection result of the test strip from the image processing result. This can be achieved by identifying the pixel value or color of a specific area, or by a specific detection algorithm to determine the detection result of each index on the test strip, where the target identification code may be a two-dimensional code, or may be a serial number or other identifier, which is used to distinguish different test strips. After the detection result is obtained, the detection result is associated with the target identification code identified by the image, and in this embodiment, the association can be performed in a database record form, and the identification code of the test strip is used as a field of the unique identification to establish the association with the corresponding detection result. This requires a database table to be designed to store the test strip information and test results. The fields of the table comprise the identification code, the detection time, the detection result and the like of the test strip. The identification code of the test strip is typically designed as a unique primary key to ensure that each record uniquely identifies a test strip. When the test strip is detected, the system can acquire the identification code of the test strip, and simultaneously record the detection time and the detection result data. These data are inserted into the database table to form a new record. In the database table, the identification code of the test strip is used as a main key field and is associated with the corresponding detection result data. This means that the identification code of each test strip will uniquely correspond to one detection result record, so as to realize the association relationship between the two.
Further, the identification equipment further comprises radio frequency identification equipment, and a radio frequency tag is arranged in the urine test strip; when the urine to be detected and the target test strip complete the reaction, analyzing and identifying the target test strip through the identifying equipment to obtain a detection result and a target identification code corresponding to the target test strip, correlating the detection result with the target identification code, and obtaining a correlation relationship further comprises: when the urine to be detected and the target test strip complete the reaction, the radio frequency identification equipment carries out radio frequency identification on the radio frequency tag in the target test strip to obtain a target identification code of the target test strip; shooting the target test strip through the camera equipment to obtain a detection image, and detecting and analyzing the detection image to obtain a detection result; and correlating the detection result with the target identification code to obtain a correlation.
Specifically, the identification code may be a two-dimensional code, or may be an association between a radio frequency tag installed on a radio frequency tag urine test strip and a target identification code. Radio frequency tags are a technology capable of identifying a target object by radio frequency, and a target identification code is coded information that uniquely identifies the target object. Specifically, when the urine to be detected and the target test strip complete the reaction, the radio frequency identification device can perform radio frequency identification on the radio frequency tag in the target test strip, so as to obtain the target identification code of the target test strip. This process essentially converts the unique identification information carried by the rfid tag into a target identification code, such that each test strip is assigned a unique identification code. By associating the radio frequency tag with the target identification code, the system can ensure that the detection result of each test strip corresponds to the unique identification code. The association relation enables the system to accurately record and manage the data of each detection, and simultaneously provides a reliable means for a user to acquire the detection result and analysis data related to the target identification code by scanning the target identification code. The design not only improves the accuracy and traceability of the data, but also provides a convenient and quick data query and management mode for the user. Except for the different identification modes of the identification codes, the process of carrying out detection analysis on the detection images by image identification to obtain detection results is the same as the detection analysis process of independently setting camera equipment, and is not repeated here.
Furthermore, the urine test strip has a plurality of reaction regions, and the camera device is a linear array camera; shooting the target test strip through the camera equipment to obtain a detection image, and carrying out detection analysis on the detection image to obtain a detection result comprises the following steps: shooting the target test strip through the linear array camera to obtain a detection image; determining a plurality of reaction regions of the target test strip according to the item to be detected, and carrying out image recognition on the detection image according to the plurality of reaction regions of the target test strip to obtain a plurality of region images; and detecting and analyzing the plurality of interval images to obtain a plurality of corresponding detection results.
In particular, line cameras use one or more rows of photosensitive elements to capture images. Unlike conventional cameras, linear array cameras do not use imaging sensors (e.g., CMOS or CCD) to capture the entire image, but use one or more rows of photosensitive elements to capture different portions of the image row by row. In the technical scheme, the linear array camera is used because the object shot by the camera is the test strip, the camera equipment only needs to shoot a row of strip-shaped parts on the test strip and does not need to shoot the complete test strip, and the linear array camera just meets the condition.
Specifically, the reaction zone refers to regions at different positions on the test strip, and each region corresponds to a different chemical reaction. Typically, there are multiple reaction zones on a strip, each zone being tested for a different chemical. For example, there may be a reaction zone for glucose detection on a glucose strip, while there may be other zones for detection of proteins, ketone bodies, etc. When the linear array camera is adopted to simultaneously acquire data of multiple groups of reactions of one sample loading, the camera can shoot images of multiple reaction regions on the test strip at one time, and acquire the reaction data of the regions. This approach may increase efficiency while ensuring rapid detection of multiple chemicals.
Specifically, the reaction section is identified, the positions of different reaction sections of different test strips can be obtained by planning the reaction sections of different test strips in advance, after the camera shoots a detection image, the section images of the different reaction sections are identified according to the positions, in addition, the color difference between the different reaction sections can be large in a color identification mode, the corresponding reaction sections can be identified through the dividing lines of two different colors, and then the detection items of the different reaction sections are determined according to the sequence of the test strips.
Further, the detecting and analyzing the plurality of interval images to obtain a plurality of corresponding detection results includes: selecting a current analysis image from the plurality of interval images, and performing color calibration processing on the current analysis image to obtain a calibration image; extracting features of the calibration image to obtain image features corresponding to the calibration image, and calculating feature similarity of the image features and a plurality of comparison features corresponding to the items to be detected; based on a preset mapping relation, taking a detection result corresponding to the comparison feature with the maximum feature similarity as a detection result corresponding to the current analysis image; and re-selecting the interval image which is not subjected to detection analysis from the interval images as a current analysis image until the interval images complete detection analysis, and obtaining a plurality of detection results.
In particular, the line camera may be affected by factors such as light source and environment when scanning an image, resulting in inconsistent color performance among different scan lines. The color calibration can help to adjust color deviation in the image, so that the color performance of the whole image is consistent, and therefore, the color calibration is required before the detection analysis is carried out, and errors of detection results are avoided. After the color calibration, feature extraction is performed on the image subjected to the color calibration processing, which means that representative feature information such as edges, textures, and the like is extracted from the image. These features may be used to describe the content and characteristics of the image. And calculating the feature similarity of a plurality of comparison features corresponding to the items to be detected according to the image features obtained by feature extraction. This step may be implemented by various image similarity calculation methods, such as correlation analysis, feature matching, and the like. Based on a preset mapping relation, taking a detection result corresponding to the comparison feature with the maximum feature similarity as a detection result corresponding to the current analysis image. This means that known alignment features are matched according to the similarity of the image features and the content or features contained in the image are determined therefrom.
Further, the selecting a current analysis image from the plurality of interval images, and performing color calibration processing on the current analysis image, to obtain a calibration image includes: selecting a current analysis image from the plurality of interval images, and inputting the current analysis image into a preset color calibration model, wherein the color calibration model comprises a generator and a discriminator based on generation of an countermeasure network, and the generator comprises an encoder and a decoder; performing feature extraction and downsampling on the current analysis image through an encoder in the generator to obtain a feature map of the current analysis image, wherein the feature map comprises high-level semantic features and low-level detail features; performing up-sampling processing on the feature map through a decoder in the generator, and performing feature fusion on high-level semantic features and low-level detail features in the feature map to obtain fusion features; and carrying out image reconstruction according to the fusion characteristics to generate a calibration image corresponding to the current analysis image.
Specifically, the color calibration may be performed using a CycleGAN, pix2Pix, or the like to generate an countermeasure network, and in this embodiment, the color calibration is performed using Pix2Pix, which is a condition generation countermeasure network (CGAN) capable of pairing an input image with a target image and generating an output image matched with the target image. By training a generator and a discriminator, pix2Pix can learn the mapping relationship between the input image and the target image, thereby realizing color correction. Before performing color calibration, a color calibration model for training a line camera needs to be designed, and a set of paired original images and target images needs to be collected, wherein the original images are images needing to be subjected to color correction, and the target images are corrected images which are hoped to be obtained. In addition, a calibration standard color chart, which is a tool for comparing colors, performing color measurement and calibration, can be packaged in a non-reactive area of the test paper. It is typically composed of a set of color patches with well-defined color values, each patch representing a particular color. Which is used to ensure color accuracy and consistency. The color correction device can be used as a reference object to help camera equipment judge or compare the difference between the color to be detected and the known standard color, and adjust or correct the color to achieve the expected effect. The non-reactive region of the strip refers to the region of the strip that is not used for chemical reaction or detection. When chemical reaction or detection is carried out, only a specific area reacts with the substance to be detected or shows a specific color change, and other parts do not participate in the reaction. Typically, the test strips will be designed to have defined test and non-reactive regions. The test area is an area for contacting a test substance and performing a chemical reaction, and may contain a specific chemical substance or indicator that produces a visible change when contacted with a target substance. The non-reactive region is a region for stabilizing the test strip structure, fixing the test strip position, or preventing contamination, and does not participate in the chemical reaction, nor does it exhibit any changes associated with the target substance. Through color correction, an explicit correspondence between each original image and the target image is ensured. Preprocessing the original image and the target image, including operations such as resizing, clipping, normalizing and the like, so as to facilitate training of the neural network. The Pix2Pix model is built using a deep learning framework (e.g., tensorFlow or pyrerch). The model is typically composed of a generator network and a discriminator network. The Pix2Pix model defines the appropriate loss function. Common loss functions include generator loss and arbiter loss, which can be measured by contrast loss, content loss, perceived loss, etc. to measure the difference between the generated result and the target result. The Pix2Pix model is trained with paired raw and target images. In the training process, parameters of a generator and a discriminator are optimized by minimizing a loss function, finally, a trained Pix2Pix model is used as a color calibration model, in the Pix2Pix model, U-Net is used as a generator of image reconstruction, U-Net is a convolutional neural network architecture commonly used for image segmentation and semantic segmentation, but can also be used for tasks of image color correction, and in U-Net, the model comprises an encoder part and a decoder part, the encoder part and the decoder part are respectively responsible for different image processing tasks, and a series of convolution layers and pooling layers are used in the encoder part to gradually extract characteristics of an input image. These convolution layers can capture low-level details and high-level semantic information of the image, and furthermore through operation of the pooling layer, the encoder reduces the spatial resolution of the image while preserving important feature information. This helps to increase the computational efficiency and receptive field size of the network. In the decoder section, the spatial resolution of the feature map is restored to the original image size using a deconvolution or upsampling operation. This helps to preserve more detail information during the image reconstruction process, and in addition, in the decoder, feature fusion operations are performed to fuse the high-level semantic features extracted from the encoder with the low-level detail features in the decoder. This helps to maintain semantic consistency and detail integrity of the image.
Specifically, in the U-Net architecture, after the high-level semantic features extracted from the encoder are fused with the low-level detail features in the decoder, a skip connection (skip connections) manner is generally used to process the fused features. Specifically, at each stage of the decoder section, the feature map of the corresponding encoder section is fused with the feature map of the current stage of the decoder. This allows the decoder section to use both high level semantic information and low level detail information from the encoder section, thereby maintaining more detail information during image reconstruction. One common jump connection is the use of feature concatenation (concatenation), i.e. a concatenation of a feature map of the encoder part with a feature map of the decoder part in the channel dimension. For example, if the feature map size of the encoder portion is h×wxc1 and the feature map size of the decoder portion is H 'x W' x C2, the spliced feature map size is H 'x W' x (c1+c2). The stitched feature map is subjected to a series of convolution operations to further process and adjust the number of channels to ultimately generate an output image. In this way, the fusion features can be propagated gradually and fused to different levels in the decoder, providing more rich information to guide the process of image reconstruction and correction. Through the jump connection mode, the U-Net can maintain image details and has stronger semantic understanding capability, so that more accurate results are realized in the color correction task.
104. And sending the detection result corresponding to the target identification code to the corresponding user equipment according to the association relation.
Specifically, when a user logs in a corresponding detection system, identity authentication is performed on user equipment of the user, whether the user is a legal user capable of accepting checking the detection result is judged, if yes, a query condition corresponding to the selection operation is determined in response to the selection operation for the scanning device, data query is performed according to the query condition, historical analysis data is obtained, a system determines a chemical reaction checking mechanism used by the user, a camera device scans a target identification code of the chemical reaction checking mechanism, a detection result which is required to be sent to the user at present is determined through the target identification code and a predetermined association relation, the detection result is combined with the historical analysis data to generate a detection report of the item to be detected, and the detection report containing the detection result is sent to the scanning device of the user.
Specifically, the system performs identity authentication according to the identification code information provided by the user. This may involve authentication means such as user account and password authentication, fingerprint or face recognition to determine if the user is a legitimate user who can accept to view the test results. If the user passes the identity authentication, the system responds to the operation of the user and requests the user to select the query condition. The user may select different query conditions, such as a particular date range, detected item type, etc., as desired. And the system executes the data query operation according to the query condition selected by the user. The system accesses the database, and obtains relevant historical analysis data and detection results according to the identification codes and the query conditions. The system combines the detection result obtained from the data query with the historical analysis data to generate a detection report of the item to be detected. This includes comparing the detection result with the history data, calculating the change trend of the index, and the like. Finally, the system sends the generated detection report to the scanning device of the user. The user can view and download the detection report through the scanning device, and know the relevant detection result and analysis data.
In the embodiment, the target test strip is determined according to the item to be detected, and urine to be detected reacts with the target test strip; when urine to be detected and a target test strip finish reaction, analyzing and identifying the target test strip through an identifying device to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation; when the user scans the target identification code, the detection result corresponding to the target identification code is sent to the scanning equipment of the user according to the association relation. According to the method, the detection result is associated with the target identification code, so that a user can obtain the detection result associated with the target identification code at any time through the scanning equipment, historical detection data can be easily compared, analyzed and traced, and more scientific basis is provided for health management and disease prevention.
The method for managing detection data in the embodiment of the present invention is described above, and the following describes a detection data management device in the embodiment of the present invention, where the detection data management device is applied to a chemical reaction checking mechanism, the chemical reaction checking mechanism is provided with a plurality of compartments and a recognition device, each compartment is provided with a corresponding urine test strip, referring to fig. 2, and one embodiment of the detection data management device in the embodiment of the present invention includes:
The acquisition module 201 is configured to acquire a to-be-detected item of urine to be detected, determine a target test strip according to the to-be-detected item, and control the chemical reaction inspection mechanism to move a partition grid corresponding to the target test strip to a test position in the chemical reaction inspection mechanism;
the reaction module 202 is configured to react the urine to be detected with the target test strip when the compartment corresponding to the target test strip is located at the test position in the chemical reaction test mechanism;
the analysis module 203 is configured to, when the urine to be detected and the target test strip complete a reaction, perform analysis and identification on the target test strip through the identification device to obtain a detection result and a target identifier corresponding to the target test strip, and associate the detection result with the target identifier to obtain an association relationship;
and the sending module 204 is configured to send a detection result corresponding to the target identifier to a corresponding user equipment according to the association relationship.
In the embodiment of the invention, the detection data management device runs the detection data management method, and the detection data management device determines the target test strip according to the item to be detected and enables urine to be detected to react with the target test strip; when urine to be detected and a target test strip finish reaction, analyzing and identifying the target test strip through an identifying device to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation; when the user scans the target identification code, the detection result corresponding to the target identification code is sent to the scanning equipment of the user according to the association relation. According to the method, the detection result is associated with the target identification code, so that a user can obtain the detection result associated with the target identification code at any time through the scanning equipment, historical detection data can be easily compared, analyzed and traced, and more scientific basis is provided for health management and disease prevention.
Referring to fig. 3, a second embodiment of the detection data management apparatus according to an embodiment of the present invention includes:
the acquisition module 201 is configured to acquire a to-be-detected item of urine to be detected, determine a target test strip according to the to-be-detected item, and control the chemical reaction inspection mechanism to move a partition grid corresponding to the target test strip to a test position in the chemical reaction inspection mechanism;
the reaction module 202 is configured to react the urine to be detected with the target test strip when the compartment corresponding to the target test strip is located at the test position in the chemical reaction test mechanism;
the analysis module 203 is configured to, when the urine to be detected and the target test strip complete a reaction, perform analysis and identification on the target test strip through the identification device to obtain a detection result and a target identifier corresponding to the target test strip, and associate the detection result with the target identifier to obtain an association relationship;
and the sending module 204 is configured to send a detection result corresponding to the target identifier to a corresponding user equipment according to the association relationship.
In one embodiment of the invention, the chemical reaction checking mechanism comprises one of a rotary reaction checking mechanism and a winding reaction checking mechanism, when the chemical reaction checking mechanism is the rotary reaction checking mechanism, each urine test strip is annularly arranged in different partitions according to the rotary structure of the rotary reaction checking mechanism, each urine test strip is attached with a corresponding identification code, when the chemical reaction checking mechanism is the winding reaction checking mechanism, each urine test strip is sequentially arranged in different partitions according to the winding structure of the winding reaction checking mechanism, each partition is provided with a corresponding placement area, and the placement area is provided with a corresponding identification code; the obtaining module 201 is specifically configured to:
When the chemical reaction checking mechanism is a rotary reaction checking mechanism, acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, controlling the rotary reaction checking mechanism to rotate so that a partition grid corresponding to the target test strip is positioned at a testing position in the rotary reaction checking mechanism, or,
when the chemical reaction checking mechanism is a winding type reaction checking mechanism, acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the winding type reaction checking mechanism to wind, so that a partition grid corresponding to the target test strip is positioned at a testing position in the winding type reaction checking mechanism.
In one embodiment of the invention, the identification device comprises a camera device; the analysis module 203 is specifically configured to:
when the urine to be detected and the target test strip complete reaction, shooting the target test strip through the camera equipment to obtain a detection image;
performing detection analysis and image recognition on the detection image to obtain a detection result and a target identification code corresponding to the target test strip;
And correlating the detection result with the target identification code to obtain a correlation.
In one embodiment of the invention, the identification device further comprises a radio frequency identification device, and the urine test strip is internally provided with a radio frequency tag; the analysis module 203 specifically includes:
the identification code identifying unit 2031 is configured to perform radio frequency identification on a radio frequency tag in the target test strip by using the radio frequency identifying device when the urine to be detected and the target test strip complete a reaction, so as to obtain a target identification code of the target test strip;
an image analysis unit 2032, configured to capture, by using the camera device, the target test strip, obtain a detection image, and perform detection analysis on the detection image to obtain a detection result;
and an association unit 2033, configured to associate the detection result with the target identifier, so as to obtain an association relationship.
In one embodiment of the invention, the urine test strip has a plurality of reaction zones, and the camera device is a linear array camera;
the image analysis unit 2032 includes:
a shooting subunit 20321, configured to shoot the target test strip through the line camera to obtain a detection image;
The interval identification subunit 20322 is configured to determine a plurality of reaction intervals of the target test strip according to the item to be detected, and perform image identification on the detection image according to the plurality of reaction intervals of the target test strip, so as to obtain a plurality of interval images;
the detection analysis subunit 20323 is configured to perform detection analysis on the plurality of interval images, and obtain a plurality of corresponding detection results.
In one embodiment of the present invention, the detection and analysis subunit 20323 is specifically configured to:
selecting a current analysis image from the plurality of interval images, and performing color calibration processing on the current analysis image to obtain a calibration image;
extracting features of the calibration image to obtain image features corresponding to the calibration image, and calculating feature similarity of the image features and a plurality of comparison features corresponding to the items to be detected;
based on a preset mapping relation, taking a detection result corresponding to the comparison feature with the maximum feature similarity as a detection result corresponding to the current analysis image;
and re-selecting the interval image which is not subjected to detection analysis from the interval images as a current analysis image until the interval images complete detection analysis, and obtaining a plurality of detection results.
In one embodiment of the present invention, the detection and analysis subunit 20323 is further specifically configured to:
selecting a current analysis image from the plurality of interval images, and inputting the current analysis image into a preset color calibration model, wherein the color calibration model comprises a generator and a discriminator based on generation of an countermeasure network, and the generator comprises an encoder and a decoder;
performing feature extraction and downsampling on the current analysis image through an encoder in the generator to obtain a feature map of the current analysis image, wherein the feature map comprises high-level semantic features and low-level detail features;
performing up-sampling processing on the feature map through a decoder in the generator, and performing feature fusion on high-level semantic features and low-level detail features in the feature map to obtain fusion features;
and carrying out image reconstruction according to the fusion characteristics to generate a calibration image corresponding to the current analysis image.
The embodiment describes in detail specific functions of each module and unit constitution of part of the modules on the basis of the previous embodiment, and by determining a target test strip according to the item to be detected through each module and each unit in the modules, urine to be detected reacts with the target test strip; when urine to be detected and a target test strip finish reaction, analyzing and identifying the target test strip through an identifying device to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation; when the user scans the target identification code, the detection result corresponding to the target identification code is sent to the scanning equipment of the user according to the association relation. According to the method, the detection result is associated with the target identification code, so that a user can obtain the detection result associated with the target identification code at any time through the scanning equipment, historical detection data can be easily compared, analyzed and traced, and more scientific basis is provided for health management and disease prevention.
The detection data management apparatus in the embodiment of the present invention is described in detail above in fig. 2 and 3 from the point of view of modularized functional entities, and the detection data management device in the embodiment of the present invention is described in detail below from the point of view of hardware processing.
Fig. 4 is a schematic structural diagram of a detection data management device according to an embodiment of the present invention, where the detection data management device 400 may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 410 (e.g., one or more processors) and a memory 420, one or more storage media 430 (e.g., one or more mass storage devices) storing application programs 433 or data 432. Wherein memory 420 and storage medium 430 may be transitory or persistent storage. The program stored in the storage medium 430 may include one or more modules (not shown), each of which may include a series of instruction operations on the detection data management apparatus 400. Still further, the processor 410 may be configured to communicate with the storage medium 430 and execute a series of instruction operations in the storage medium 430 on the test data management device 400 to implement the steps of the test data management method described above.
The test data management apparatus 400 may also include one or more power supplies 440, one or more wired or wireless network interfaces 450, one or more input/output interfaces 460, and/or one or more operating systems 431, such as Windows Serve, mac OS X, unix, linux, freeBSD, etc. It will be appreciated by those skilled in the art that the configuration of the test data management device shown in fig. 4 is not limiting of the test data management device provided by the present invention and may include more or fewer components than shown, or may combine certain components, or may be arranged in a different arrangement of components.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and may also be a volatile computer readable storage medium, in which instructions are stored which, when executed on a computer, cause the computer to perform the steps of the detection data management method.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system or apparatus and unit described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (5)

1. A test data management method, wherein the test data management method is applied to a chemical reaction inspection mechanism, the chemical reaction inspection mechanism is provided with a plurality of compartments and identification devices, each compartment is provided with a corresponding urine test strip, and the test data management method comprises:
acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the chemical reaction checking mechanism to move a partition grid corresponding to the target test strip to a testing position in the chemical reaction checking mechanism;
when the partition grid corresponding to the target test strip is positioned at the test position in the chemical reaction test mechanism, the urine to be detected reacts with the target test strip;
when the urine to be detected and the target test strip complete reaction, analyzing and identifying the target test strip through the identifying equipment to obtain a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation;
when the identification device comprises a camera device, the identification device analyzes and identifies the target test strip to obtain a detection result and a target identification code corresponding to the target test strip when the urine to be detected and the target test strip complete the reaction, and correlates the detection result and the target identification code to obtain a correlation relationship, wherein the correlation relationship comprises: when the urine to be detected and the target test strip complete reaction, shooting the target test strip through the camera equipment to obtain a detection image; performing detection analysis and image recognition on the detection image to obtain a detection result and a target identification code corresponding to the target test strip; correlating the detection result with the target identification code to obtain a correlation;
When the identification device further comprises a radio frequency identification device, and the radio frequency tag is installed inside the urine test strip, and when the urine to be detected and the target test strip complete the reaction, the identification device analyzes and identifies the target test strip to obtain a detection result and a target identification code corresponding to the target test strip, and correlates the detection result and the target identification code, and the obtaining of the correlation relationship further comprises: when the urine to be detected and the target test strip complete the reaction, the radio frequency identification equipment carries out radio frequency identification on the radio frequency tag in the target test strip to obtain a target identification code of the target test strip; shooting the target test strip through the camera equipment to obtain a detection image, and detecting and analyzing the detection image to obtain a detection result; correlating the detection result with the target identification code to obtain a correlation;
sending the detection result corresponding to the target identification code to corresponding user equipment according to the association relation;
the urine test strip is provided with a plurality of reaction regions, and the camera equipment is a linear array camera; shooting the target test strip through the camera equipment to obtain a detection image, and carrying out detection analysis on the detection image to obtain a detection result comprises the following steps: shooting the target test strip through the linear array camera to obtain a detection image; determining a plurality of reaction regions of the target test strip according to the item to be detected, and carrying out image recognition on the detection image according to the plurality of reaction regions of the target test strip to obtain a plurality of region images; selecting a current analysis image from the plurality of interval images, and inputting the current analysis image into a preset color calibration model, wherein the color calibration model comprises a generator and a discriminator based on generation of an countermeasure network, and the generator comprises an encoder and a decoder; performing feature extraction and downsampling on the current analysis image through an encoder in the generator to obtain a feature map of the current analysis image, wherein the feature map comprises high-level semantic features and low-level detail features; performing up-sampling processing on the feature map through a decoder in the generator, and performing feature fusion on high-level semantic features and low-level detail features in the feature map to obtain fusion features; performing image reconstruction according to the fusion characteristics to generate a calibration image corresponding to the current analysis image; extracting features of the calibration image to obtain image features corresponding to the calibration image, and calculating feature similarity of the image features and a plurality of comparison features corresponding to the items to be detected; based on a preset mapping relation, taking a detection result corresponding to the comparison feature with the maximum feature similarity as a detection result corresponding to the current analysis image; and re-selecting the interval image which is not subjected to detection analysis from the interval images as a current analysis image until the interval images complete detection analysis, and obtaining a plurality of detection results.
2. The test data management method according to claim 1, wherein the chemical reaction checking mechanism comprises one of a rotary reaction checking mechanism and a winding reaction checking mechanism, when the chemical reaction checking mechanism is a rotary reaction checking mechanism, each urine test strip is annularly arranged in different compartments according to a rotary structure of the rotary reaction checking mechanism, each urine test strip is attached with a corresponding identification code, when the chemical reaction checking mechanism is a winding reaction checking mechanism, each urine test strip is sequentially arranged in different compartments according to a winding structure of the winding reaction checking mechanism, each compartment is provided with a corresponding placement area, and the placement area is provided with a corresponding identification code;
the step of obtaining a to-be-detected item of urine to be detected, and determining a target test strip according to the to-be-detected item, and the step of controlling the chemical reaction checking mechanism to move the partition corresponding to the target test strip to a testing position in the chemical reaction checking mechanism comprises the following steps:
when the chemical reaction checking mechanism is a rotary reaction checking mechanism, acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, controlling the rotary reaction checking mechanism to rotate so that a partition grid corresponding to the target test strip is positioned at a testing position in the rotary reaction checking mechanism, or,
When the chemical reaction checking mechanism is a winding type reaction checking mechanism, acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the winding type reaction checking mechanism to wind, so that a partition grid corresponding to the target test strip is positioned at a testing position in the winding type reaction checking mechanism.
3. A test data management apparatus, characterized in that the test data management apparatus is applied to a chemical reaction inspection mechanism provided with a plurality of compartments and a recognition device, each of which has a corresponding urine test strip placed therein, the test data management apparatus comprising:
the acquisition module is used for acquiring a to-be-detected item of urine to be detected, determining a target test strip according to the to-be-detected item, and controlling the chemical reaction inspection mechanism to move a partition grid corresponding to the target test strip to a test position in the chemical reaction inspection mechanism;
the reaction module is used for enabling the urine to be detected to react with the target test strip when the partition grid corresponding to the target test strip is positioned at the test position in the chemical reaction test mechanism;
The analysis module is used for analyzing and identifying the target test strip through the identification equipment when the urine to be detected and the target test strip are reacted, obtaining a detection result and a target identification code corresponding to the target test strip, and correlating the detection result with the target identification code to obtain a correlation, wherein when the identification equipment comprises camera equipment, the identification equipment analyzes and identifies the target test strip when the urine to be detected and the target test strip are reacted, obtaining a detection result and the target identification code corresponding to the target test strip, correlating the detection result with the target identification code, and obtaining the correlation comprises the following steps: when the urine to be detected and the target test strip complete reaction, shooting the target test strip through the camera equipment to obtain a detection image; performing detection analysis and image recognition on the detection image to obtain a detection result and a target identification code corresponding to the target test strip; correlating the detection result with the target identification code to obtain a correlation; when the identification device further comprises a radio frequency identification device, and the radio frequency tag is installed inside the urine test strip, and when the urine to be detected and the target test strip complete the reaction, the identification device analyzes and identifies the target test strip to obtain a detection result and a target identification code corresponding to the target test strip, and correlates the detection result and the target identification code, and the obtaining of the correlation relationship further comprises: when the urine to be detected and the target test strip complete the reaction, the radio frequency identification equipment carries out radio frequency identification on the radio frequency tag in the target test strip to obtain a target identification code of the target test strip; shooting the target test strip through the camera equipment to obtain a detection image, and detecting and analyzing the detection image to obtain a detection result; correlating the detection result with the target identification code to obtain a correlation;
The sending module is used for sending a detection result corresponding to the target identification code to corresponding user equipment according to the association relation, wherein the urine test strip has a plurality of reaction intervals, and the camera equipment is a linear array camera; shooting the target test strip through the camera equipment to obtain a detection image, and carrying out detection analysis on the detection image to obtain a detection result comprises the following steps: shooting the target test strip through the linear array camera to obtain a detection image; determining a plurality of reaction regions of the target test strip according to the item to be detected, and carrying out image recognition on the detection image according to the plurality of reaction regions of the target test strip to obtain a plurality of region images; selecting a current analysis image from the plurality of interval images, and inputting the current analysis image into a preset color calibration model, wherein the color calibration model comprises a generator and a discriminator based on generation of an countermeasure network, and the generator comprises an encoder and a decoder; performing feature extraction and downsampling on the current analysis image through an encoder in the generator to obtain a feature map of the current analysis image, wherein the feature map comprises high-level semantic features and low-level detail features; performing up-sampling processing on the feature map through a decoder in the generator, and performing feature fusion on high-level semantic features and low-level detail features in the feature map to obtain fusion features; performing image reconstruction according to the fusion characteristics to generate a calibration image corresponding to the current analysis image; extracting features of the calibration image to obtain image features corresponding to the calibration image, and calculating feature similarity of the image features and a plurality of comparison features corresponding to the items to be detected; based on a preset mapping relation, taking a detection result corresponding to the comparison feature with the maximum feature similarity as a detection result corresponding to the current analysis image; and re-selecting the interval image which is not subjected to detection analysis from the interval images as a current analysis image until the interval images complete detection analysis, and obtaining a plurality of detection results.
4. A test data management apparatus, characterized in that the test data management apparatus comprises: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invoking the instructions in the memory to cause the test data management apparatus to perform the steps of the test data management method of any of claims 1-2.
5. A computer readable storage medium having instructions stored thereon, which when executed by a processor, implement the steps of the method of detecting data management according to any of claims 1-2.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106404783A (en) * 2016-09-29 2017-02-15 网易（杭州）网络有限公司 Test paper detection method and device
CN107862350A (en) * 2016-09-29 2018-03-30 网易（杭州）网络有限公司 Test paper detecting method, apparatus and system
CN109791157A (en) * 2016-09-26 2019-05-21 赛卢拉研究公司 Use the reagent measuring protein expression with bar coded oligonucleotide sequence
CN214574414U (en) * 2021-02-22 2021-11-02 杉木(深圳)生物科技有限公司 Urine analysis device and toilet
CN114813660A (en) * 2022-04-27 2022-07-29 杉木(深圳)生物科技有限公司 Kit self-judgment method, sample detection device and system and server
CN218824298U (en) * 2021-10-21 2023-04-07 杉木(深圳)生物科技有限公司 Urine analyzer and toilet

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109791157A (en) * 2016-09-26 2019-05-21 赛卢拉研究公司 Use the reagent measuring protein expression with bar coded oligonucleotide sequence
CN115060911A (en) * 2016-09-26 2022-09-16 贝克顿迪金森公司 Measurement of protein expression using reagents with barcoded oligonucleotide sequences
CN106404783A (en) * 2016-09-29 2017-02-15 网易（杭州）网络有限公司 Test paper detection method and device
CN107862350A (en) * 2016-09-29 2018-03-30 网易（杭州）网络有限公司 Test paper detecting method, apparatus and system
CN214574414U (en) * 2021-02-22 2021-11-02 杉木(深圳)生物科技有限公司 Urine analysis device and toilet
CN218824298U (en) * 2021-10-21 2023-04-07 杉木(深圳)生物科技有限公司 Urine analyzer and toilet
CN114813660A (en) * 2022-04-27 2022-07-29 杉木(深圳)生物科技有限公司 Kit self-judgment method, sample detection device and system and server

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