CN114264604A - Athlete urine color analysis system - Google Patents
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Abstract
The invention provides a system for analyzing the color of urine of an athlete, and a method for analyzing the color of the urine based on the system comprises the following steps: the system comprises an intelligent analyzer, a user information module, an image acquisition module, an image processing module and an image analysis module. The athlete urine color analysis system intelligently analyzes the grades of the colors by testing the urine color space numerical values and formulates a fluid infusion suggestion according to the color grades, and the system has stable performance, can accurately evaluate the hydration state of the athlete and provides an individualized fluid infusion guidance suggestion. The client and the cloud server of the system can store test information, and scientific research personnel can perform data processing and analysis; the intelligent analyzer can serve athletic sports of athletes and provide certain guidance for public health and medical industries.
Description
Technical Field
The invention belongs to training monitoring analysis technology in the field of sports science, and particularly relates to an athlete urine color analysis system.
Background
Maintaining a normal hydration state is essential to maintain optimal athletic performance and promote physical health in athletes. Authoritative journal studies indicate that dehydration of the body above 1% of body weight can impair cognitive function; dehydration of the body beyond 2% of body weight reduces aerobic exercise capacity. The long-term dehydration of the body increases the risk of renal calculus, urinary tract infection, constipation, adenomatous polypus, diabetes, cardiovascular diseases, exercise-induced asthma, and the like.
In daily training and competition of athletes, urine detection is a common non-invasive monitoring means, and acceptance and recognition of the athletes on the urine detection are high.
Many studies prove that the urine color is an effective and noninvasive index for evaluating the hydration state, and the urine color of a normal human body mainly changes from light to deep due to the urine pigment concentration and generally represents the moisture change of the human body from a high hydration state, a normal hydration state to a low hydration state respectively. Generally, the darker the urine color, the more severe the dehydration.
The urine color detection method includes a visual colorimetry, an instrumental method and the like. For the visual colorimetry, researchers mainly use the urine colorimetric card to subjectively evaluate the urine color grade, but the urine color is easily influenced by factors such as the test environment, testers and the container color, and the accuracy of the urine colorimetric card is questioned to a certain extent.
Therefore, how to quantitatively detect and analyze the color of urine and evaluate the hydration state according to the color of urine is a problem to be solved.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide an athlete urine color analysis system, which is an athlete dehydration grade intelligent analysis and fluid infusion guidance system based on a urine color Lab, is used for analyzing the urine color Lab numerical value in a throughput manner, identifying the corresponding color grade according to the defined color grade standard, evaluating the hydration state of an athlete, providing fluid infusion suggestions for the athlete in a personalized manner, and providing data analysis for coaches and scientific researchers.
The purpose of the invention is realized by the following technical scheme:
1) registering and logging in an account: connecting a data line, automatically lighting a display screen, opening an intelligent analyzer, and performing user registration and logging in a personal account;
2) filling in basic information: inputting the name, height and weight of the tested person, selecting options and filling other basic information including the sex, birth date and sport item of the tested person;
3) putting a sample to be tested: cleaning the cuvette 7, cleaning the outer wall of the cuvette by using filter paper or a paper towel to ensure that the cuvette is clean and has no residual water drops, pouring urine to be detected into the cuvette at a height of 1/2-2/3, lightly pressing the cuvette bracket, moving the cuvette bracket 3 out of the intelligent analyzer along the track 502, inserting the cuvette containing the urine sample to be detected into a cuvette notch on the cuvette bracket by an operator, lightly pushing the cuvette bracket, and resetting the cuvette bracket into the analyzer;
4) detecting a sample: the urine to be detected is subjected to image interception through the light source/image acquisition assembly 6, a liquid image of the central part of the cuvette is intercepted, a urine color image of the sample is represented, and then image color value analysis is carried out;
5) analyzing urine color data: and determining an image color value by adopting an average method: firstly, intercepting a urine image of the central part of the cuvette, calculating an RGB color space average value of the image, converting the RGB color space average value into a Lab color space, and finally judging the grade according to the value b;
the formula for converting the RGB color space average value into the XYZ color space is:
X＝R×0.4124+G×0.3576+B×0.1805
Y＝R×0.2126+G×0.7152+B×0.0722
Z＝R×0.0193+G×0.1192+B×0.9505
in the formula, RGB is three color space components in an RGB color model, and XYZ is three color space components in a Lab color model;
the formula for converting from XYZ color space to Lab color space is:
in the formula, Xn＝95.047，Yn＝100.0，Zn108.883; the L coordinate is a brightness axis, the a coordinate is a red-green axis, and the b coordinate is a blue-yellow axis;
the formula for the function f is:
wherein t is an independent variable.
Further, the dehydration grade is defined by that b value in the color space Lab is a color grade dividing point, b e (0, 6.15) is set to 1 grade, b e (6.15, 12.3) is set to 2 grade, b e (12.3, 18.45) is set to 3 grade, b e (18.45, 24.6) is set to 4 grade, b e (24.6, 30.75) is set to 5 grade, b e (30.75, 36.9) is set to 6 grade, b e (36.9, 43.05) is set to 7 grade, and b e (43.05, 127) is set to 8 grade.
Further, the method comprises the following steps:
6) local data review: step 4) after the detection of the sample is finished, clicking data to look back, and then looking up the test history data of the instrument;
7) cloud data review: logging in a website through equipment including a mobile phone, a tablet and a computer, and inputting an account and a password to look up historical data; the required information can be screened by clicking different sports items and places; copying required data, and pasting the data in an excel file to further process the data;
8) setting the grade: if the user needs to change the color grade setting standard, the user can click the data to modify, click to confirm, and click the detection sample again, and then the analysis can be carried out according to the newly set grade standard.
Another aspect of the invention:
a system for realizing the athlete urine color analysis method comprises an intelligent analyzer, a user information module, an image acquisition module, an image processing module and an image analysis module;
the intelligent analyzer comprises a display screen and a shell, wherein the display screen is arranged on the top surface of the analyzer, the shell is divided into an upper cover plate and a lower cover plate, the upper cover plate is clamped on the outer wall of the top of the lower cover plate and is connected and fixed with a bottom plate of the lower cover plate through four support columns, and the display screen is fixed on the upper cover plate; the intelligent analyzer comprises an internal structure, a sample cell bracket, an industrial control power supply, a lower base plate assembly and a light source/image acquisition assembly, wherein a groove is reserved on one side of a lower cover plate, the lower base plate assembly is arranged in a shell corresponding to the groove, a track is arranged at the bottom of the lower base plate assembly, a sliding block matched with the track is arranged on the track, the sample cell bracket and the light source/image acquisition assembly are sequentially arranged in the lower base plate assembly, and the lower part of the sample cell bracket is fixedly connected with the sliding block; the light source/image acquisition assembly comprises a surface light source, a camera and a camera cover plate, and the surface light source is positioned between the camera and the cuvette bracket;
the user information module: used for recording and managing user login information;
the image acquisition module: the system is used for importing image files, setting camera parameters and acquiring modes; the image file is acquired by the camera of the light source/image acquisition component, and the importing of the image file is to directly import the existing image into software for identification; setting camera parameters, wherein the acquisition mode is to transmit images acquired by a camera back to software in real time and process the images in real time;
the image processing module: the method has a basic image processing method comprising region-of-interest extraction, smooth denoising, bilateral denoising and morphological processing, ensures that on the basis of keeping the original color information of the image, noise points which are possibly influenced by catalytic recognition on the image are removed, improves the quality of the image, facilitates the recognition of the image and obtains the processed image;
the image analysis module: the module is used for identifying the image processed by the image processing module; the method has the functions of selecting a colorimetric image, reading R, G, B values and converting an RGB color space mode into a Lab color space mode, identifying the dehydration grade and providing a water supplementing scheme.
Furthermore, a communication antenna is installed below the display screen, and the display screen is a touch display screen.
Furthermore, two parallel rails are arranged at the bottom of the lower bottom plate assembly component, and a sliding block matched with the rails is arranged on each rail.
Furthermore, the light source/image acquisition assembly comprises two surface light sources and a camera, and the two surface light sources and the camera are fixedly arranged on the camera cover plate.
Furthermore, a cooling fan is further arranged inside the intelligent analyzer, and a ventilation and cooling port is formed in the mounting position, corresponding to the cooling fan, of the lower cover plate.
Further, the surface light source adopts an LED surface light source; the camera adopts a high-definition camera with more than 500 ten thousand pixels and an IP 67-level waterproof design.
Compared with the prior art, the invention has the beneficial effects that:
1. the method for analyzing the urine color of the athlete is realized by depending on a system comprising an intelligent analyzer, a user information module, an image acquisition module, an image processing module and an image analysis module, after an operator inserts a cuvette containing a urine sample to be tested into a cuvette bracket, the cuvette enters the intelligent analyzer for detection, the operation is simple, the obtained image is transmitted to software for analysis, and the quantitative detection of the dehydration level of the athlete can be realized;
2. the athlete urine color analysis method can evaluate the hydration state of the athlete and provide personalized fluid infusion suggestions for the athlete; the client and the cloud server of the system can store and inquire detection results and provide data analysis for coaches and scientific research personnel;
3. the urine color Lab data identification device combines a hardware part consisting of a cuvette, a camera, a standard light source, an image collector, a host system, a touch screen system, a bracket, an industrial control power supply and the like, a software part consisting of a software system, a wireless network and the like, uses a digital imaging colorimetry, uses a wireless network technology, utilizes an image identification algorithm and an optical principle, identifies urine color Lab data, is connected with a flat panel device, and analyzes color grades according to the algorithm.
Drawings
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
FIG. 1 is a flowchart illustrating a method for analyzing the color of an athlete's urine according to the present invention;
FIG. 2 is a diagram of the overall components of the athlete's urine color analysis system of the present invention;
FIG. 3 is a software architecture diagram of an athlete's urine color analysis system of the present invention;
FIG. 4 is a functional architecture requirement diagram of athlete urine color analysis software of the present invention;
FIG. 5 is a schematic diagram of the imaging principle of the liquid in the cuvette;
FIG. 6 is a schematic diagram of a visual part of the intelligent analyzer for mobilization dewatering level;
FIG. 7 is an exploded view of the intelligent analyzer for mobilization dewatering levels;
FIG. 8 is a schematic structural diagram of the display screen;
FIG. 9 is an assembled view of the lower deck and lower deck assembly;
FIG. 10 is a schematic view of the structure of the lower plate assembly;
FIG. 11 is a schematic view of the cuvette holder;
FIG. 12 is a schematic structural diagram of the cuvette holder, industrial control power supply, light source/image acquisition assembly and cooling fan;
FIG. 13 is a schematic view of the light source/image capture assembly;
in the figure, 1-display screen, 101-communication antenna, 2-shell, 201-upper cover plate, 2011-support column, 202-lower cover plate, 2021-groove, 2022-ventilation heat dissipation port, 3-cuvette bracket, 4-industrial control power supply, 5-lower base plate assembly, 501-slide block, 502-track, 6-light source/image acquisition assembly, 601-surface light source, 602-camera, 603-camera cover plate, 7-cuvette, and 8-cooling fan.
Detailed Description
Example 1 Intelligent athlete dehydration level Analyzer
As shown in fig. 6 and 7, the present embodiment provides an intelligent analyzer for the dehydration level of an athlete, the overall size of the analyzer is 255 × 175.5 × 163mm in length, width and height, and the analyzer includes a touch display screen 1 and a housing 2, wherein, as shown in fig. 8, the touch display screen 1 is arranged on the top surface of the analyzer, and a communication antenna 101 is installed below the touch display screen 1; the casing 2 is divided into an upper cover plate 201 and a lower cover plate 202, the upper cover plate is clamped on the outer wall of the top of the lower cover plate and is connected and fixed with the bottom plate of the lower cover plate through four support columns 2011, and the display screen is fixed on the upper cover plate.
The display screen 1 adopts an embedded industrial resistance touch screen, has the resolution of 1024 x 600, is a high-definition industrial screen, and has the advantages of impact resistance, vibration resistance, high temperature resistance, low temperature resistance and the like, and the size of the industrial resistance touch screen is 10.1 inches.
As shown in fig. 12, the internal structure of the intelligent analyzer includes a cuvette holder 3, an industrial control power supply 4, a lower base plate assembly 5, a light source/image acquisition assembly 6, and a cooling fan 8; as shown in fig. 9, a groove 2021 is formed on one side of the lower cover plate 202, and a ventilation/heat dissipation opening 2022 is formed at a position corresponding to the installation position of the heat dissipation fan; as shown in fig. 9, 10 and 11, the lower plate assembly component 5 is disposed in the housing corresponding to the groove portion, two rails 502 parallel to each other are disposed at the bottom of the lower plate assembly component, each rail is provided with a slider 501 engaged with the rail, the cuvette holder 3 and the light source/image acquisition component 6 are sequentially mounted in the lower plate assembly component 5, the lower portion of the cuvette holder is fixedly connected with the slider, and the slider can drive the cuvette holder 3 to reciprocate on the rails 502; as shown in fig. 13, the light source/image capturing assembly 6 includes two LED surface light sources 601, a camera 602 and a camera cover 603, which are all fixedly mounted on the camera cover 603, and the surface light sources are located between the camera and the cuvette holder.
Example 2
As shown in fig. 1, the present embodiment provides a method for analyzing an athlete's urine color, and a system for implementing the method for analyzing the athlete's urine color includes an intelligent analyzer, a user information module, an image acquisition module, an image processing module, and an image analysis module.
The structure of the intelligent analyzer is as shown in example 1.
The user information module: used for recording and managing the login information of the user.
The image acquisition module: the system is used for importing image files, setting camera parameters and acquiring modes; the image file is obtained by the camera 602 of the light source/image acquisition component 6, and the importing of the image file is to directly import the existing image into software for identification; and setting camera parameters, wherein the acquisition mode is to transmit images acquired by the camera back to software in real time and process the images in real time.
The image processing module: the method has a basic image processing method including region-of-interest extraction, smooth denoising, bilateral denoising and morphological processing, ensures that noise points which are possibly influenced by catalytic recognition on the image are removed on the basis of keeping the original color information of the image, improves the quality of the image, facilitates the image recognition, and obtains the processed image.
The image analysis module: the module is used for identifying the image processed by the image processing module; the method has the functions of selecting a colorimetric image, reading R, G, B values and converting an RGB color space mode into a Lab color space mode, identifying the dehydration grade and providing a water supplementing scheme.
The method for analyzing the color of the urine of the athlete comprises the following steps:
1) registering and logging in an account: connecting a data line, automatically lighting a display screen, opening an intelligent analyzer, and performing user registration and logging in a personal account; specifically, double-click on a computer interface icon, start an intelligent dehydration level analysis system, input an account number and a password, and default users are 1111 and passwords are 1111.
2) Filling in basic information: inputting the name, height and weight of the tested person, selecting option information, and filling other basic information including the sex, birth date and sport item of the tested person.
3) Putting a sample to be tested: clean cell 7, with the clean cell outer wall of filter paper or paper handkerchief, ensure that the cell is clean, no water droplet remains, pour the urine that will await measuring into cell 2/3 back about high with the plastics straw, lightly press the cell bracket, cell bracket 3 is outside track 502 removes to intelligent analysis appearance, the cell notch department on the cell bracket is inserted to the cell that the urine sample that will await measuring will be contained to operating personnel, gently push away the cell bracket again, reset the cell bracket inside the analysis appearance, airtight image acquisition system including light source/image acquisition subassembly 6 in.
4) Detecting a sample: after a sample to be detected is put in, the urine to be detected is subjected to image interception through the light source/image acquisition assembly 6, a liquid image of the central part of the cuvette is intercepted, the urine color image of the sample is represented, and then image color value analysis is carried out.
5) Analyzing urine color data: and determining an image color value by adopting an average method: analyzing the RGB color space average value of the intercepted urine color image, converting the RGB color space average value into Lab color space, and finally determining the color grade according to the b value.
Under the ideal condition, when the liquid is clear and uniform, the cuvette and the color background are free from pollution, and the light source environment is proper, the liquid imaging effect is optimal, the liquid image of the screenshot is an even image, namely, the color value of each pixel point is the same. However, in reality, urine is turbid, color is not uniformly formed, the background of the cuvette is polluted, and the like, and the image of the screenshot is not always a uniform image. Therefore, the image color value is determined by taking the average value in the embodiment.
The international commission on standards (CIE) defined the color space Lab in 1976 using coordinates on 3 spatial axes: the L coordinate is a luminance axis, and the larger the L value is, the higher the luminance is, L-0 is represented as black, and L-100 is represented as white; the coordinate a is a red-green axis, a-128 is represented as green, and a-127 is represented as red; the b coordinate is blue-yellow, b-128 is shown as blue, and b-127 is shown as yellow.
The formula for converting the RGB color space average value into the XYZ color space is:
X＝R×0.4124+G×0.3576+B×0.1805
Y＝R×0.2126+G×0.7152+B×0.0722
Z＝R×0.0193+G×0.1192+B×0.9505
RGB is the three color space components in the RGB color model, respectively, and XYZ is the three color space components in the Lab color model, respectively.
The formula for converting from XYZ color space to Lab color space is:
in the formula, Xn＝95.047，Yn＝100.0，Zn108.883; the L coordinate is the luminance axis, the a coordinate is the red green axis, and the b coordinate is the blue yellow axis.
The formula for the function f is:
wherein t is an independent variable.
6) Local data review: and 4) after the detection of the sample is finished, clicking the data to look back, and looking up the test history data of the instrument.
7) Cloud data review: logging in a website through equipment including a mobile phone, a tablet and a computer, and inputting an account and a password to look up historical data; the required information can be screened by clicking different sports items and places; and copying the required data, and pasting the data in the excel file to further process the data.
8) Setting the grade: if the user needs to change the color grade setting standard, the user can click the data to modify, click to confirm, and click the detection sample again, and then the analysis can be carried out according to the newly set grade standard.
Regarding the dehydration grade, the b value of the urine color space has higher correlation with the specific gravity and the urine osmotic pressure, namely the b value can reflect the dehydration grade most. Thus, the system takes the b value in the color space Lab, with b as the color rank demarcation point, sets b ∈ (0, 6.15) to rank 1, b ∈ (6.15, 12.3) to rank 2, b ∈ (12.3, 18.45) to rank 3, b ∈ (18.45, 24.6) to rank 4, b ∈ (24.6, 30.75) to rank 5, b ∈ (30.75, 36.9) to rank 6, b ∈ (36.9, 43.05) to rank 7, b ∈ (43.05, 127) to rank 8. The system sets level 1 to "excessive moisture", level 2 to "excessive moisture", level 3 to "sufficient moisture", level 4 to "sufficient moisture", level 5 to "light dehydration", level 6 to "medium dehydration", level 7 to "heavy dehydration", and level 8 to "heavy dehydration".
Regarding the water supplement suggestion, the system calculates the corresponding water supplement amount according to the weight and the dehydration grade of the user. The fluid replacement corresponding to the dehydration level 1 is suggested as 'excessive water in vivo, and you are advised to not need fluid replacement'; the fluid infusion corresponding to the dehydration level 2 is suggested as 'excessive water in vivo, and you are advised to not need fluid infusion'; the fluid replacement corresponding to the dehydration grade 3 is recommended to be 'sufficient water in the body, and you are recommended to supplement 0.25 percent of body weight at most'; the fluid replacement corresponding to the dehydration level 4 is recommended to be 'sufficient water in the body, and you are recommended to supplement 0.5 percent of body weight at most'; the fluid infusion suggestion corresponding to the 5-level dehydration is that 'the electrolyte beverage with 0.25-0.5 percent of body weight needs to be supplemented for you, a small amount of fluid infusion needs to be carried out for many times, and the fluid infusion amount can be properly adjusted according to specific conditions'; the fluid infusion suggestion corresponding to the 6-level dehydration is' advising that electrolyte beverages with 0.5-1% of body weight need to be supplemented, and the fluid infusion amount can be properly adjusted by combining specific conditions after a small amount of attention is paid to fluid infusion; the fluid infusion suggestion corresponding to the dehydration level 7 is' advising that electrolyte beverages with 1 to 1.5 percent of body weight need to be supplemented, and the fluid infusion amount can be properly adjusted by combining specific conditions after a small amount of attention is paid to fluid infusion; the fluid infusion suggestion corresponding to the 8-level dehydration is 'advising that you need to supplement 1.5-2% of the body weight of the electrolyte beverage and consider hospitalization, and the fluid infusion can be properly adjusted by paying attention to a small amount of times in combination with specific conditions'.
The optical principle involved in the invention is as follows: this system passes through the urine color information in camera 602 collection cell 7, shows the cell image that is equipped with the urine in the host computer, and the software extracts the color information on the picture, regards the color of cell central point as the color of urine sample, reads the Lab value. During design, the most appropriate angle between the light source and the camera needs to be adjusted according to the positions and distances of the LED standard light source, the camera and the cuvette (as shown in fig. 5).
The liquid color imaging principle in the cuvette is based on the transmission of light rays, i.e. the LED standard light source transmits into the liquid in the cuvette, one part of the light is reflected back, and the other part of the light refracts into the urine. Light entering the urine is absorbed by the water during transmission. The absorption of light by a liquid is related to the wavelength of the light. The solution reflects and transmits light of its own color and absorbs light of other colors, i.e., the liquid has selective absorption of light of different wavelengths to produce different colors. The yellow light that is absorbed the least by urine is scattered and reflected back when encountering water molecules, and light of other wavelengths is absorbed by urine to a different extent, so that the urine in the cuvette appears yellow, and the yellow light is reflected and scattered into the camera for imaging.
The calculation formula involved therein is: the angle of incidence is equal to the angle of reflection.
Finally, it should be noted that the above only illustrates the technical solution of the present invention, but not limited thereto, and although the present invention has been described in detail with reference to the preferred arrangement, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made thereto without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. A method for analyzing the color of an athlete's urine, the method comprising the steps of;
1) registering and logging in an account: connecting a data line, automatically lighting a display screen, opening an intelligent analyzer, and performing user registration and logging in a personal account;
2) filling in basic information: inputting the name, height and weight of the tested person, selecting options and filling other basic information including the sex, birth date and sport item of the tested person;
3) putting a sample to be tested: cleaning a cuvette (7), cleaning the outer wall of the cuvette by using filter paper or a paper towel to ensure that the cuvette is clean and has no residual water drops, pouring urine to be detected into the cuvette at a height of 1/2-2/3, lightly pressing a cuvette bracket, moving the cuvette bracket (3) to the outside of the intelligent analyzer along a track (502), inserting the cuvette filled with the urine sample to be detected into a cuvette notch on the cuvette bracket by an operator, lightly pushing the cuvette bracket again, and resetting the cuvette bracket to the inside of the analyzer;
4) detecting a sample: the urine to be detected is subjected to image interception through a light source/image acquisition assembly (6), a liquid image of the central part of the cuvette is intercepted, a urine color image of the sample is represented, and then image color value analysis is carried out;
5) analyzing urine color data: and determining an image color value by adopting an average method: firstly, intercepting a urine image of the central part of the cuvette, calculating an RGB color space average value of the image, converting the RGB color space average value into a Lab color space, and finally judging the grade according to the value b;
the formula for converting the RGB color space average value into the XYZ color space is:
X＝R×0.4124+G×0.3576+B×0.1805
Y＝R×0.2126+G×0.7152+B×0.0722
Z＝R×0.0193+G×0.1192+B×0.9505
in the formula, RGB is three color space components in an RGB color model, and XYZ is three color space components in a Lab color model;
the formula for converting from XYZ color space to Lab color space is:
in the formula, Xn＝95.047，Yn＝100.0，Zn108.883; the L coordinate is a brightness axis, the a coordinate is a red-green axis, and the b coordinate is a blue-yellow axis;
the formula for the function f is:
wherein t is an independent variable.
2. The athlete urine color analysis method of claim 1 wherein the dehydration grade is a color grade cut point by b value in color space Lab, b e (0, 6.15) is set to grade 1, b e (6.15, 12.3) is set to grade 2, b e (12.3, 18.45) is set to grade 3, b e (18.45, 24.6) is set to grade 4, b e (24.6, 30.75) is set to grade 5, b e (30.75, 36.9) is set to grade 6, b e (36.9, 43.05) is set to grade 7, b e (43.05, 127) is set to grade 8.
3. The athlete urine color analysis method according to claim 1 or 2, further comprising the steps of:
6) local data review: step 4) after the detection of the sample is finished, clicking data to look back, and then looking up the test history data of the instrument;
7) cloud data review: logging in a website through equipment including a mobile phone, a tablet and a computer, and inputting an account and a password to look up historical data; the required information can be screened by clicking different sports items and places; copying required data, and pasting the data in an excel file to further process the data;
8) setting the grade: if the user needs to change the color grade setting standard, the user can click the data to modify, click to confirm, and click the detection sample again, and then the analysis can be carried out according to the newly set grade standard.
4. A system for implementing the athlete urine color analysis method according to any one of claims 1 to 3, wherein the system comprises an intelligent analyzer, a user information module, an image acquisition module, an image processing module and an image analysis module;
the intelligent analyzer comprises a display screen (1) and a shell (2), wherein the display screen is arranged on the top surface of the analyzer, the shell is divided into an upper cover plate (201) and a lower cover plate (202), the upper cover plate is clamped on the outer wall of the top of the lower cover plate and is connected and fixed with a bottom plate of the lower cover plate through four support columns (2011), and the display screen is fixed on the upper cover plate; the intelligent analyzer comprises an internal structure, a cuvette bracket (3), an industrial control power supply (4), a lower base plate assembly component (5) and a light source/image acquisition component (6), wherein a groove (2021) is reserved on one side of a lower cover plate, the lower base plate assembly component (5) is arranged in a shell corresponding to the groove, a track (502) is arranged at the bottom of the lower base plate assembly component, a sliding block (501) matched with the track is arranged on the track, the cuvette bracket (3) and the light source/image acquisition component (6) are sequentially arranged in the lower base plate assembly component (5), and the lower part of the cuvette bracket is fixedly connected with the sliding block; the light source/image acquisition assembly (6) comprises a surface light source (601), a camera (602) and a camera cover plate (603), and the surface light source is positioned between the camera and the cuvette bracket;
the user information module: used for recording and managing user login information;
the image acquisition module: the system is used for importing image files, setting camera parameters and acquiring modes; the image file is acquired by a camera (602) of the light source/image acquisition assembly (6), and the imported image file is obtained by directly importing the existing image into software for recognition; setting camera parameters, wherein the acquisition mode is to transmit images acquired by a camera back to software in real time and process the images in real time;
the image processing module: the method has a basic image processing method comprising region-of-interest extraction, smooth denoising, bilateral denoising and morphological processing, ensures that on the basis of keeping the original color information of the image, noise points which are possibly influenced by catalytic recognition on the image are removed, improves the quality of the image, facilitates the recognition of the image and obtains the processed image;
the image analysis module: the module is used for identifying the image processed by the image processing module; the method has the functions of selecting a colorimetric image, reading R, G, B values and converting an RGB color space mode into a Lab color space mode, identifying the dehydration grade and providing a water supplementing scheme.
5. System according to claim 4, characterized in that a communication antenna (101) is mounted below the display screen (1), which is a touch display screen.
6. The system according to claim 4, characterized in that the bottom of the lower base plate assembly (5) is provided with two parallel rails (502), each rail being provided with a slide (501) cooperating with the rail.
7. The system according to claim 4, characterized in that the light source/image acquisition assembly (6) comprises a two-face light source (601) and a camera (602), fixedly mounted on the camera cover plate (603).
8. The system according to claim 4, wherein a heat dissipation fan (8) is further arranged inside the intelligent analyzer, and a ventilation and heat dissipation port (2022) is arranged at the mounting position of the lower cover plate (202) corresponding to the heat dissipation fan.
9. The system according to claim 4 or 7, characterized in that said surface light source (601) is an LED surface light source; the camera (602) adopts a high-definition camera with more than 500 ten thousand pixels and an IP 67-level waterproof design.
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Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120106811A1 (en) * | 2010-11-03 | 2012-05-03 | Teco Diagnostics | All-In-One Specimen Cup With Optically Readable Results |
| CN202814866U (en) * | 2012-08-24 | 2013-03-20 | 绥化学院 | Color difference assessment system for biochemical analyzer |
| US20140072189A1 (en) * | 2012-09-05 | 2014-03-13 | Sidhant Jena | Portable medical diagnostic systems and methods using a mobile device |
| CN203587598U (en) * | 2013-11-26 | 2014-05-07 | 温州大学 | Handheld smart urine analyzer |
| CN104237222A (en) * | 2014-09-26 | 2014-12-24 | 航天神舟生物科技集团有限公司 | Urine detector for household remote health consultation service system |
| US20150009502A1 (en) * | 2013-07-02 | 2015-01-08 | Daniel Gordon DRURY | Urine analysis device, method and system |
| CN105223196A (en) * | 2015-10-16 | 2016-01-06 | 长春孚宗科技股份有限公司 | A kind of urinalysis method based on intelligent terminal |
| CN105951955A (en) * | 2016-05-09 | 2016-09-21 | 中科院合肥技术创新工程院 | Urine detector control system and control method based on intelligent closestool |
| CN205643169U (en) * | 2015-12-28 | 2016-10-12 | 天津派普大业仪器科技有限公司 | Urine detection cloud computing system |
| CN106226249A (en) * | 2016-09-29 | 2016-12-14 | 成都齐力丝绸有限公司 | A kind of color digitized Compare System and method |
| CN106525826A (en) * | 2016-10-20 | 2017-03-22 | 太原理工大学 | Molecule smart-phone rapid test method based on colorful dominant wavelength and complementary wavelength |
| CN106918593A (en) * | 2017-04-17 | 2017-07-04 | 深圳汉华科技股份有限公司 | A kind of urine detection instrument and urine parameters acquisition system |
| CN107024595A (en) * | 2017-05-31 | 2017-08-08 | 重庆恭逸科技有限公司 | A kind of toilet lid with urine examination function |
| US20180003621A1 (en) * | 2016-06-29 | 2018-01-04 | Daniel Gordon DRURY | Urine analysis device, method and system |
| CN108061731A (en) * | 2017-12-19 | 2018-05-22 | 淮北师范大学 | A kind of system that water nitrite, ammonia nitrogen, sulphur, phosphate content are detected based on camera |
| CN108139318A (en) * | 2015-09-13 | 2018-06-08 | 澳大利亚传感和识别系统私人有限公司 | Analytical instrument, related system and method |
| CN109632666A (en) * | 2018-12-24 | 2019-04-16 | 枣庄学院 | The method of portable multi-channel spectrophotometer and measurement absorbance based on smart phone |
| CN109724972A (en) * | 2019-02-25 | 2019-05-07 | 深圳市象形字科技股份有限公司 | A kind of portable intelligent urine detection instrument and detection method |
| CN110763674A (en) * | 2019-12-03 | 2020-02-07 | 淮北师范大学 | Method for rapidly detecting content of vitamin C in vegetables and fruits |
| CN111122839A (en) * | 2019-12-30 | 2020-05-08 | 佛山市为博康医疗科技有限公司 | Intelligent conventional detection device |
| CN112067832A (en) * | 2020-09-11 | 2020-12-11 | 桂林优利特医疗电子有限公司 | Portable urine analysis system and analysis method thereof |
| US10928325B1 (en) * | 2020-03-25 | 2021-02-23 | Vessel Health, Inc. | Urine test system with nutritional recommendations |
| CN112577905A (en) * | 2019-09-30 | 2021-03-30 | 苏州迈瑞科技有限公司 | Urine color detection method and analyzer |
| CN112697705A (en) * | 2019-10-23 | 2021-04-23 | 广州市微米生物科技有限公司 | Multi-channel color recognition module and in-vitro diagnosis equipment thereof |
| CN112697783A (en) * | 2020-12-23 | 2021-04-23 | 太原理工大学 | Quantitative detection device and method for urine iodine |
-
2021
- 2021-12-23 CN CN202111586926.XA patent/CN114264604A/en active Pending
Patent Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120106811A1 (en) * | 2010-11-03 | 2012-05-03 | Teco Diagnostics | All-In-One Specimen Cup With Optically Readable Results |
| CN202814866U (en) * | 2012-08-24 | 2013-03-20 | 绥化学院 | Color difference assessment system for biochemical analyzer |
| US20140072189A1 (en) * | 2012-09-05 | 2014-03-13 | Sidhant Jena | Portable medical diagnostic systems and methods using a mobile device |
| US20150009502A1 (en) * | 2013-07-02 | 2015-01-08 | Daniel Gordon DRURY | Urine analysis device, method and system |
| CN203587598U (en) * | 2013-11-26 | 2014-05-07 | 温州大学 | Handheld smart urine analyzer |
| CN104237222A (en) * | 2014-09-26 | 2014-12-24 | 航天神舟生物科技集团有限公司 | Urine detector for household remote health consultation service system |
| CN108139318A (en) * | 2015-09-13 | 2018-06-08 | 澳大利亚传感和识别系统私人有限公司 | Analytical instrument, related system and method |
| CN105223196A (en) * | 2015-10-16 | 2016-01-06 | 长春孚宗科技股份有限公司 | A kind of urinalysis method based on intelligent terminal |
| CN205643169U (en) * | 2015-12-28 | 2016-10-12 | 天津派普大业仪器科技有限公司 | Urine detection cloud computing system |
| CN105951955A (en) * | 2016-05-09 | 2016-09-21 | 中科院合肥技术创新工程院 | Urine detector control system and control method based on intelligent closestool |
| US20180003621A1 (en) * | 2016-06-29 | 2018-01-04 | Daniel Gordon DRURY | Urine analysis device, method and system |
| CN106226249A (en) * | 2016-09-29 | 2016-12-14 | 成都齐力丝绸有限公司 | A kind of color digitized Compare System and method |
| CN106525826A (en) * | 2016-10-20 | 2017-03-22 | 太原理工大学 | Molecule smart-phone rapid test method based on colorful dominant wavelength and complementary wavelength |
| CN106918593A (en) * | 2017-04-17 | 2017-07-04 | 深圳汉华科技股份有限公司 | A kind of urine detection instrument and urine parameters acquisition system |
| CN107024595A (en) * | 2017-05-31 | 2017-08-08 | 重庆恭逸科技有限公司 | A kind of toilet lid with urine examination function |
| CN108061731A (en) * | 2017-12-19 | 2018-05-22 | 淮北师范大学 | A kind of system that water nitrite, ammonia nitrogen, sulphur, phosphate content are detected based on camera |
| CN109632666A (en) * | 2018-12-24 | 2019-04-16 | 枣庄学院 | The method of portable multi-channel spectrophotometer and measurement absorbance based on smart phone |
| CN109724972A (en) * | 2019-02-25 | 2019-05-07 | 深圳市象形字科技股份有限公司 | A kind of portable intelligent urine detection instrument and detection method |
| CN112577905A (en) * | 2019-09-30 | 2021-03-30 | 苏州迈瑞科技有限公司 | Urine color detection method and analyzer |
| CN112697705A (en) * | 2019-10-23 | 2021-04-23 | 广州市微米生物科技有限公司 | Multi-channel color recognition module and in-vitro diagnosis equipment thereof |
| CN110763674A (en) * | 2019-12-03 | 2020-02-07 | 淮北师范大学 | Method for rapidly detecting content of vitamin C in vegetables and fruits |
| CN111122839A (en) * | 2019-12-30 | 2020-05-08 | 佛山市为博康医疗科技有限公司 | Intelligent conventional detection device |
| US10928325B1 (en) * | 2020-03-25 | 2021-02-23 | Vessel Health, Inc. | Urine test system with nutritional recommendations |
| CN112067832A (en) * | 2020-09-11 | 2020-12-11 | 桂林优利特医疗电子有限公司 | Portable urine analysis system and analysis method thereof |
| CN112697783A (en) * | 2020-12-23 | 2021-04-23 | 太原理工大学 | Quantitative detection device and method for urine iodine |
Non-Patent Citations (5)
| Title |
|---|
| JINGNAN LIU , ZIJUAN ZHANG, XIAOHAN PANG , YAXING CHENG, DA MAN, XINYI HE , HUIHUI ZHAO, RUIZHEN ZHAO， WEI WANG: "Analysis of the Distribution of Urine Color and Its Relationship With Urine Dry Chemical Parameters Among College Students in Beijing, China – A Cross-Sectional Study", FRONTIERS IN NUTRITION, no. 8, pages 3 * |
| NA ZHANG , SONGMING DU , MENGQI ZHENG, ZHENCHUANG TANG , RUIXIA YAN, YITANG ZHU, GUANSHENG MA: "Urine color for assessment of dehydration among college men students in Hebei, China – a cross -sectional study", ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, vol. 978, no. 26, pages 788 - 793 * |
| SAMANTHA B. KOSTELNIK， KEVIN P. DAVY， VALISA E. HEDRICK，D. TRAVIS THOMAS，BRENDA M. DAVY: "The Validity of Urine Color as a Hydration Biomarker within the General Adult Population and Athletes: A Systematic Review", JOURNAL OF THE AMERICAN COLLEGE OF NUTRITION, vol. 40, no. 2, pages 172 - 179 * |
| 杨 任 兵 ， 程 文 播 ， 钱 庆 ， 章 强 ， 白 鹏 利， 潘 宇 骏 ， 段 鹏: "尿液试纸条的手机图像比色分析新方法的研究", 影像科学与光化学, vol. 36, no. 4, pages 340 - 349 * |
| 熊伟平: "大学生运动损伤防护与急救", 陕西科学技术出版社, pages: 206 - 208 * |
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