Fluorescent reagent-based method for detecting components of urine

Abstract

The application provides a urine component detection method based on a fluorescent reagent, and belongs to the field of biological detection, and solves the problem that the conventional fluorescence detection method cannot extract and save the information of a urine sample in the prior art. The urine component detection method based on the fluorescent reagent comprises the following steps: injecting urine and a fluorescent reagent into a sample detection chamber; a fluorescent light source emits fluorescent reagent excitation light to the sample detection chamber, and excites the mixed solution of the urine and the fluorescent reagent to generate fluorescence; and a fluorescence image of the mixed solution excited by the fluorescent light source is collected through the sample detection chamber. The urine component detection method based on the fluorescent reagent is easy to extract and save the information of the urine sample and has a simple detection process.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of biological detection, and particularly relates to a urine component detection method based on fluorescent reagents. BACKGROUND

[0002] Urine examination includes routine urine analysis, formed element detection in urine (such as urine red blood cells, white blood cells, etc.), protein component quantitative determination, urine enzyme determination, etc. Urine examination has a very important value for clinical diagnosis, judgment of curative effect and prognosis.

[0003] At present, when urine is detected, the fluorescent reagent is usually injected into the urine sample first, the operator puts the urine sample into a detection instrument, the urine sample is enlarged by a microscope, and observation is performed manually under the microscope. This kind of instrument can only observe on site, cannot extract the information related to the urine sample, and is difficult to save the initial information of the sample. SUMMARY

[0004] Therefore, the present application provides a urine component detection method based on fluorescent reagents, which solves the problem that the conventional fluorescent detection method cannot extract and save the information related to the urine sample.

[0005] The technical scheme adopted by the present application is as follows:

[0006] The present application provides a urine component detection method based on fluorescent reagents,

[0007] As a preferred scheme of the urine component detection method based on fluorescent reagents,

[0008] In summary, the present application has the following advantages:

[0009] The urine component detection method based on fluorescent reagents provided by the present application includes: injecting urine and fluorescent reagents into a sample detection chamber; a fluorescent light source emits fluorescent reagent excitation light to the sample detection chamber, and excites the mixture of the urine and the fluorescent reagents to generate fluorescence; and the mixture fluorescence image after excitation by the fluorescent light source is collected through the sample detection chamber. The present application directly injects urine into a sample detection chamber for detection, does not need to manually adjust the placement position of the urine sample, has a simple detection process, and can collect and save the fluorescence image information of the urine, can transfer the image information to a detection place for detection, and has higher detection accuracy. In addition, to avoid detection errors, the image information can also be called for secondary verification. BRIEF DESCRIPTION OF DRAWINGS

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced as follows, and other drawings can be obtained by those of ordinary skill in the art without any creative effort on the premise of not paying any creative effort, and these are within the protection scope of the present application.

[0011] Figure 1 It is a perspective view of the intelligent toilet of the present application.

[0012] Figure 2 It is a side view of the intelligent toilet of the present application.

[0013] Figure 3 It is an internal structure diagram of the intelligent toilet of the present application.

[0014] Figure 4 It is an exploded view of the intelligent toilet of the present application.

[0015] Figure 5 It is a perspective view of the urine sampling head of the present application.

[0016] Figure 6 It is a structural schematic diagram of the elastic member of the present application.

[0017] Figure 7 It is a structural schematic diagram of the upper part of the circular sampling head body of the present application.

[0018] Figure 8 It is a structural schematic diagram of the upper part of the concave sampling head body of the present application.

[0019] Figure 9 It is a structural schematic diagram of the upper part of the planar sampling head body of the present application.

[0020] Figure 10 It is a structural schematic diagram of the urine sampler of the present application.

[0021] Figure 11 It is a perspective view of the adapter mechanism of the present application.

[0022] Figure 12 It is a structural schematic diagram of the replaceable reagent consumable box of the present application. Figure 1 ;

[0023] Figure 13 It is a structural schematic diagram of the replaceable reagent consumable box of the present application. Figure 2 ;

[0024] Figure 14 It is an internal structure diagram of the replaceable reagent consumable box of the present application.

[0025] Figure 15 It is a structural schematic diagram of the consumable storage box of the present application. Figure 1 ;

[0026] Figure 16 Structure diagram of the consumable storage box of the present application Figure 2

[0027] Figure 17 Internal structure diagram of the consumable storage box of the present application

[0028] Figure 18 Perspective view of the microfluidic detection chip of the present application

[0029] Figure 19 Internal structure diagram of the microfluidic detection chip of the present application

[0030] Figure 20 Exploded view of the microfluidic detection chip of the present application

[0031] Figure 21 Perspective view of the microscopic image information acquisition module of the present application

[0032] Figure 22 Structure diagram of the interior of the microscope body of the present application

[0033] Figure 23 Perspective view of the microscopic image acquisition module of the present application

[0034] Figure 24 Perspective view of the optical information acquisition module of the present application

[0035] Figure 25 Position relationship diagram of the optical information acquisition module and the microfluidic detection chip of the present application

[0036] Figure 26 Internal structure diagram of the fluorescent / spectroscopic microfluidic detection chip of the present application

[0037] Figure 27 Exploded view of the fluorescent / spectroscopic microfluidic detection chip of the present application

[0038] Figure 28 Structure diagram of the electrochemical detection chip with the reaction part and the conductive part located at different sides

[0039] Figure 29 Structure diagram of the reaction part of the present application

[0040] Figure 30 Structure diagram of the conductive part of the present application

[0041] Figure 31 Structure diagram of the electrochemical detection chip with the reaction part and the conductive part located at the same side

[0042] Figure 32 Structure diagram of the body fluid electrochemical detection module of the present application Figure 1 ​​

[0043] Figure 33 Structure diagram of the body fluid electrochemical detection module of the present application Figure 2 ;

[0044] Figure 34 Exploded view of the body fluid electrochemical detection module of the present application

[0045] Figure 35 Internal structure of the body fluid electrochemical detection module of the present application Figure 1 ;

[0046] Figure 36 Internal structure of the body fluid electrochemical detection module of the present application Figure 2 ;

[0047] Figure 37 Structure diagram of the reaction chamber of the present application

[0048] Figure 38 Perspective view of the electrochemical body fluid detection device of the present application

[0049] Figure 39 Exploded view of the electrochemical body fluid detection device of the present application

[0050] Figure 40 Principle diagram of the rapid detection system of human biochemical indexes of the embodiment 15 of the present application

[0051] Figure 41 Flowchart of each step of the urine detection method based on microscopic images of the embodiment 16 of the present application

[0052] Figure 42 Flowchart of each step of the urine detection method based on microscopic images after step S120 of the embodiment 16 of the present application

[0053] Figure 43 Flowchart of each step included in step S150 of the embodiment 16 of the present application

[0054] Figure 44 Flowchart of each step of the urine component detection method based on fluorescent reagents of the embodiment 17 of the present application

[0055] Figure 45 Flowchart of each step of the urine component detection method based on fluorescent reagents after step S220 of the embodiment 17 of the present application

[0056] Figure 46 Flowchart of each step of the urine component detection method based on fluorescent reagents of the embodiment 18 of the present application

[0057] Figure 47 Flowchart of each step of the urine electrochemical detection method of the embodiment 19 of the present application

[0058] Figure 48 The flow chart of each step included in step S450 of embodiment 19 of the present application;

[0059] Figure 49 The schematic diagram of the Euler distance between two time series of embodiment 19 of the present application;

[0060] Parts and numbers in the figure:

[0061] 100, toilet body;

[0062] 110, base; 120, bowl;

[0063] 200, toilet seat;

[0064] 210, third bearing;

[0065] 300, toilet cover;

[0066] 310, toilet front cover; 311, first bearing; 320, toilet rear cover; 321, first rotating shaft;

[0067] 400, urine sampler;

[0068] 410, urine sampling head;

[0069] 411, sampling head body; 411a, through hole; 411b, sampling head upper part; 411c, sampling head lower part;

[0070] 412, connecting mechanism; 412a, elastic member; 412b, groove; 412c, protrusion; 412d, limiting mechanism;

[0071] 420, adapter mechanism; 421, adapter mechanism body; 421a, adapter groove; 421b, mounting cavity;

[0072] 500, sampling micro flow pump;

[0073] 600, consumable storage box;

[0074] 610, consumable storage box body; 611, electronic tag card reader; 612, transparent window; 613, thimble; 614, consumable storage box liquid outlet;

[0075] 620, replaceable reagent consumable box;

[0076] 621, consumable box body; 621a, electronic tag; 621b, transparent member; 621c, mounting hole;

[0077] 622, consumable box reagent inlet; 623, consumable box reagent outlet;

[0078] 624, consumable box seal; 624a, reset member; 624b, spring needle; 624c, cover plate;

[0079] 625, first gap; 626, second gap;

[0080] 630, consumable storage box upper cover;

[0081] 700, urine detection module;

[0082] 710, microfluidic detection chip;

[0083] 711, detection chip body; 711a, first device chamber; 711b, light-emitting device; 711c, second device chamber; 711d, temperature control device; 711e, device seal; 711f, first chamber cover; 711g, second chamber cover; 711h, excitation light filter layer;

[0084] 712, detection chip sample inlet; 713, sample detection chamber; 714, first microfluidic channel; 715, detection chip sample outlet; 716, second microfluidic channel;

[0085] 720, microscopic image acquisition module;

[0086] 730, microscopic image information acquisition module;

[0087] 731, microscope body;

[0088] 732, lens group;

[0089] 733, zoom assembly; 733a, first magnifying lens; 733b, second magnifying lens; 733c, protective lens;

[0090] 734, light filter assembly; 734a, first light filter; 734b, first light filter;

[0091] 735, stage;

[0092] 736, microscopic optical information acquisition assembly;

[0093] 740, optical information acquisition module;

[0094] 741, optical information acquisition assembly;

[0095] 750, electrochemical body fluid detection device;

[0096] 760, electrochemical detection chip;

[0097] 761, insulating substrate; 761a, first isolation member; 761b, second isolation member;

[0098] 762, chip electrode; 762a, reaction part; 762b, conductive part; 762c, reaction part liquid outlet;

[0099] 770, body fluid electrochemical detection module;

[0100] 771, detection module body; 771a, reaction zone; 771b, connecting zone; 771c, reaction cavity; 771d, cavity; 771e, sealing structure; 771f, liquid collecting groove; 771g, sampling pipeline mounting hole;

[0101] 772, electrochemical sampling inlet;

[0102] 773, connecting electrode;

[0103] 774, electrochemical sampling outlet;

[0104] 775, sampling pipeline; 775a, sampling pipeline body; 775b, sampling pipeline liquid outlet; 775c, bending part;

[0105] 776, sampling pipeline;

[0106] 780, urine transmission pipeline. DETAILED DESCRIPTION

[0107] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. It should be noted that, in this document, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or sequence between these entities or operations. In the description of the present application, it should be understood that the orientations or positional relationships indicated by terms such as center, upper, lower, front, back, left, right, vertical, horizontal, top, bottom, inner, outer and the like are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. Moreover, the terms “include”, “contain” or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such a process, method, article or device. Without more limitations, the elements defined by the statement “include” do not exclude the presence of additional identical elements in the process, method, article or device that includes the elements. If there is no conflict, the embodiments of the present application and the various features in the embodiments can be combined with each other, and all within the scope of protection of the present application.

[0108] Embodiment 1

[0109] Please refer to Figure 1 and Figure 2 The embodiments of the present application disclose a smart toilet which can be used as a common toilet and can be used in the field of urine detection to detect urine of a user, and can be specifically used in places such as families, enterprises or hospitals, for example, used in a family: a patient needs to be recuperated for a long time and needs to detect urine information frequently, and the health status of the patient is determined by analyzing urine data, although the urine detection equipment in a hospital is complete and the professionalism of a doctor is relatively high, but the cost to be paid in the hospital is also relatively high, at present, many families are relatively hard up, and the cost in the hospital will bring a huge burden to the whole family, if the smart toilet of the present application is used, the patient can detect urine at home, not only various costs in the hospital are saved, but also it is more convenient for family members to take care of the patient, at home, the family members can take care of the patient while taking care of personal affairs and family affairs, and have more time to take care of the patient. In addition, a patient with certain self-care ability can recuperate at home alone, and can know the health status of the patient in real time according to needs.

[0110] For example, in a hospital, it is necessary to queue for detection. In the detection process, the user can only take a sample by himself during the toilet process in the toilet. After the sampling is completed, the sample is handed over to the medical staff for detection and analysis. The whole process is not convenient, and the queue wastes time. If the intelligent toilet provided by the application is used, the customer does not need to run around the hospital, does not need to queue, and the sampling process is also relatively simple, more convenient to use, time-saving and labor-saving.

[0111] The intelligent toilet comprises a toilet body 100, a toilet seat 200, a toilet cover 300, a urine sampler 400 and a urine detection module. The toilet body 100 serves as the base of the intelligent toilet and has the function of bearing various devices and can also realize the defecation function of a common toilet. The toilet seat 200 is arranged on the toilet body 100. The toilet seat 200 has high adhesion to the human body and can increase the comfort of the user during defecation. For example, when the weather is cold, the toilet seat 200 can be used to avoid direct contact between the cold toilet and the human body. In addition, the toilet with the toilet seat 200 is more hygienic and healthy. The toilet has a certain water pressure when flushing, which can cause bacteria to splash. The toilet seat 200 has a certain isolation and protection effect. The toilet cover 300 can ensure the hygiene of the toilet. When the toilet is not used, the toilet cover 300 is closed to seal the toilet body 100, so as to prevent impurities such as bacteria, dust and liquid from entering the toilet. The urine sampler 400 can be arranged in the toilet body 100 or above the toilet body 100 and located on the path of urine flowing into the toilet body 100, for sampling urine. The urine detection module is arranged on the toilet cover 300 or the toilet body 100 and is used for sampling the urine sampled by the urine sampler 400.

[0112] In order to facilitate understanding of the structure of the intelligent toilet, the components of the intelligent toilet will be further described as follows:

[0113] The toilet body 100 comprises a base 110 and a toilet bowl 120. The lower bottom surface of the base 110 is in contact with the ground, and the upper surface of the base 110 is in contact with the toilet seat 200. The length and width of the upper surface of the base 110 are greater than those of the lower bottom surface, so that the base 110 occupies a small space and can realize a large defecation space. The toilet bowl 120 has a conical structure. The conical structure is arranged upside down, and the conical apex is located below the conical bottom surface. The toilet body 100 further comprises a sewer pipe. One end of the sewer pipe is in communication with the conical apex of the toilet bowl 120, and the other end is connected to a toilet bowl. The conical structure can effectively collect the feces and cleaning liquid in the toilet bowl 120 during flushing.

[0114] The toilet cover 300 comprises a toilet front cover 310 and a toilet rear cover 320. The toilet rear cover 320 is fixedly arranged on the toilet body 100 and located at the rear of the toilet body 100. The toilet front cover 310 is rotatably connected with the toilet body 100 or the toilet rear cover 320 and located at the front of the toilet body 100, covering the toilet seat 200 and the toilet bowl 120. In the embodiment, the toilet front cover 310 is rotatably connected with the toilet rear cover 320. Specifically, the toilet rear cover 320 is provided with first rotating shafts 321 at both sides thereof. The toilet front cover 310 is provided with first bearings 311. The first rotating shafts 321 are installed on the first bearings 311. The toilet front cover 310 can rotate forward and backward relative to the toilet rear cover 320 to cover the toilet bowl 120 and protect the toilet. When the toilet front cover 310 is lifted, the user can use the toilet or perform urine detection. When the toilet front cover 310 is rotatably connected with the toilet body 100, the toilet body 100 is fixedly provided with second rotating shafts (not shown). The toilet front cover 310 is provided with second bearings (not shown). The second bearings are sleeved on the second rotating shafts. The toilet front cover 310 can rotate forward and backward relative to the toilet body 100.

[0115] When the toilet front cover 310 covers the toilet bowl 120, the toilet seat 200 is arranged between the toilet front cover 310 and the toilet body 100. The toilet cover 300 can also protect the toilet seat 200. The toilet seat 200 is rotatably connected with the toilet body 100 or the toilet cover 300. The toilet seat 200 is provided with third bearings 210. When the toilet seat 200 is connected with the toilet cover 300, the third bearings 210 are connected with the first rotating shafts 321. When the toilet seat 200 is connected with the toilet body 100, the third bearings 210 are connected with the second rotating shafts.

[0116] The intelligent toilet further comprises a consumable storage box 600. The consumable storage box 600 is used to provide detection conditions for the urine detection module. The consumable storage box 600 comprises a plurality of replaceable reagent consumable boxes 620. The replaceable reagent consumable boxes 620 contain reagents used for mixing with urine.

[0117] The urine detection module includes an optical urine detection module, which is arranged on the toilet body 100 or the toilet cover 300. The optical urine detection module includes a microscopic image acquisition module 720, a fluorescent image acquisition module, and a spectral information acquisition module. The microscopic image acquisition module 720 performs urine detection by using a urine detection method based on a microscopic image described below. The fluorescent image acquisition module performs urine detection by using a urine component detection method based on a fluorescent reagent described below. The spectral information acquisition module performs urine detection by using a spectral detection method of a urine component described below. The urine detection module further includes a chemical urine detection module, which is arranged on the toilet body 100 or the toilet cover 300. The chemical urine detection module includes a dry-chemical urine detection module and an electrochemical body fluid detection device 750. The electrochemical body fluid detection device 750 of the present embodiment performs urine detection by using an electrochemical urine detection method described below.

[0118] The intelligent toilet further includes a control system, a urine transmission pipeline 780, and a sampling micro-flow pump 500. The urine transmission pipeline 780 is used for transmitting urine. The sampling micro-flow pump 500 can remove air bubbles in the urine and quantitatively acquire and transport the urine. The control system is used for controlling the urine sampler 400 to sample urine and controlling the urine detection module 700 to detect urine.

[0119] Embodiment 2

[0120] The intelligent toilet includes a urine sampler 400, which can be arranged in the toilet body 100 or above the toilet body 100 and is used for sampling urine flowing into the toilet.

[0121] Please refer to Figure 10 and Figure 11 The present application provides a urine sampler, which includes an adapter mechanism 420 and a urine sampling head 410. The urine sampling head 410 is detachably connected to the adapter mechanism 420 and directly contacts with urine to sample the urine.

[0122] Specifically, the urine sampling head 410 includes an elastic member 412a, and the adapter mechanism 420 includes an adapter mechanism body 421, which is provided with a mounting cavity 421b. The elastic member 412a is inserted into the mounting cavity 421b and elastically connected to the mounting cavity 421b. Under the action of an external force, the urine sampling head 410 can be inserted or removed. When the urine sampler 400 is blocked or needs to be cleaned, the urine sampling head 410 can be conveniently detached, so that the urine sampling head 410 and the urine sampler 400 can be cleaned, repaired, or replaced, which is simple and convenient to operate.

[0123] Embodiment 3

[0124] Please refer toFigure 5 and Figure 6 The urine sampling head 410 comprises a sampling head body 411 and a connecting mechanism 412. The sampling head body 411 is provided with a through hole 411a for preventing foreign matters from entering. When external urine enters the sampling head body 411 through the through hole 411a, the through hole 411a can filter the urine and prevent foreign matters in the urine from entering the sampling head body 411. The connecting mechanism 412 is arranged at one end of the sampling head body 411 and is provided with a detachable structure. The detachable structure enables the urine sampling head 410 to be detachably connected with a sampling device. The sampling device is a device for sampling urine. Under the action of an external force, the urine sampling head 410 is connected with the sampling device, and the sampling device and the urine sampling head 410 are driven to sample urine. The urine sampling head 410 and the sampling device can be cleaned, repaired or replaced by being detached.

[0125] For the convenience of understanding the structure of the urine sampling head 410, the components of the urine sampling head 410 will be described as follows.

[0126] The specific structure of the detachable structure is not limited herein, as long as the urine sampling head 410 can be detachably connected with the sampling device. In the embodiment, the detachable structure comprises at least one of an elastic member, a threaded structure and a buckle. Preferably, the detachable structure is an elastic member, which has good connecting performance and is convenient to install and detach.

[0127] Further, referring to Figures 5 to 7 The connecting mechanism 412 is provided with an elastic member 412a. When the urine sampling head 410 is connected with the urine sampler 400, the elastic member 412a is matched with the urine sampler 400. The elastic force of the elastic member 412a acts on the urine sampler 400. The urine sampler 400 also exerts a counterforce on the elastic member 412a. Meanwhile, the elastic member 412a and the urine sampler 400 have a friction force. Under the action of the friction force, the urine sampling head 410 is stably connected with the urine sampler 400. When the urine sampling head 410 needs to be detached, an external force is exerted on the urine sampling head 410 and the urine sampler 400. The external force is greater than the friction force between the elastic member 412a and the urine sampler 400. Thus, the urine sampling head 410 can be pulled out.

[0128] The elastic member 412a is an independent element, the connecting mechanism 412 is provided with a groove 412b or a protrusion 412c, the elastic member 412a is matched with the groove 412b or the protrusion 412c, the elastic member 412a is sleeved on the groove 412b or the protrusion 412c and is fixed by the groove 412b or the protrusion 412c, when the elastic member 412a needs to be installed, the elastic member 412a is opened under the action of an external force, so that the elastic member 412a can pass through the connecting mechanism 412 and enter the periphery of the groove 412b or the protrusion 412c, at this time, the external force is removed, and the elastic member 412a is sleeved on the groove 412b or the protrusion 412c. The elastic member 412a can be one or more, when the number of the elastic member 412a is one, the elastic member 412a is matched with the connecting mechanism 412, the elastic member 412a can slide out of the groove 412b or the protrusion 412c under the action of an external force, and the installation cannot be completed, preferably, the number of the elastic member 412a can be set to be multiple, and the multiple elastic members 412a are not easy to slide out of the groove 412b or the protrusion 412c, so that the stability of the connection can be improved, of course, the number of the groove 412b or the protrusion 412c should be consistent with the number of the elastic member 412a. Further, the elastic member 412a includes one or more of an O-shaped ring, a V-shaped ring, a rectangular ring, a wedge-shaped ring, an X-shaped ring, an L-shaped ring, a U-shaped ring, a ditched O-shaped ring or a star-shaped ring, when multiple elastic members 412a of different shapes are selected, it is necessary to ensure that each elastic member 412a can be fully connected with the groove 412b or the protrusion 412c, preferably, multiple elastic members 412a of the same shape are selected, for example, an O-shaped ring, which is more fully contacted with the urine sampler 400 and is better processed. It can be understood that the shape of the groove 412b or the protrusion 412c is adapted to the shape of the elastic member 412a, when the elastic member 412a is a protrusion 412c structure, the groove 412b matched with the protrusion 412c is selected, when the elastic member 412a has a groove 412b structure, the protrusion 412c structure matched with the groove 412b is selected.

[0129] In an embodiment, the elastic member 412a is integrated on the connecting mechanism 412, the elastic member 412a is integrally arranged with the connecting mechanism 412, in this case, the connecting mechanism 412 does not include the groove 412b or the protrusion 412c, the elastic member 412a can be a ring structure, covering the peripheral surface of the connecting mechanism 412, the contact area of the elastic member 412a with the urine sampler 400 is larger, and the connection is more stable.

[0130] The elastic member 412a has a sealing effect in addition to the function of fixing the urine sampling head 410. The inner circle of the elastic member 412a is tightly fitted with the groove 412b or the protrusion 412c, and the outer circle of the elastic member 412a is tightly fitted with the urine sampler 400. The elastic member 412a itself has a waterproof effect. In this way, the elastic member 412a can prevent the filtered urine from flowing out of the connecting mechanism 412, thereby gathering the urine in the sampling head body 411 to provide sufficient urine sample for the urine detection module.

[0131] In the present embodiment, the sampling head body 411 is made of metal, ceramic or plastic, which is not limited here. Preferably, the sampling head body 411 should be made of a material with strong corrosion resistance, such as ceramic.

[0132] Please refer to Figure 5 The sampling head body 411 includes a sampling head upper part 411b and a sampling head lower part 411c. The through hole 411a is arranged in the sampling head upper part 411b, and the sampling head upper part 411b directly contacts with the urine. The urine flows into the sampling head body 411 through the through hole 411a. The shape of the through hole 411a is not limited here, and it can be circular, square, oval, triangular or other geometric shapes. The purpose of arranging the through hole 411a is to prevent foreign matter from entering the sampling head body 411. The foreign matter can be coarse particulate matter, and the through hole 411a can filter any matter with a minimum width greater than the maximum width of the through hole 411a. Further, the through hole 411a is arranged in the sampling head upper part 411b in a certain arrangement manner, which can be arranged in an array or staggered. The arrangement is as uniform as possible to make full use of the area of the sampling head upper part 411b, so that more through holes 411a can be arranged in the sampling head upper part 411b, and the liquid inlet amount is large while the filtering effect is good.

[0133] Please refer to Figure 7 The sampling head body 411 further includes a urine transmission pipeline 780 for transmitting the urine through the sampling head upper part 411b. After the urine enters the urine transmission pipeline 780, the urine transmission pipeline 780 transmits the urine to the urine detection module for urine detection.

[0134] Further, please refer to Figures 5 to 9The upper part 411b of the sampling head is flat, concave or convex. The urine directly contacts the upper part 411b of the sampling head. When the upper part 411b of the sampling head is flat, the sampling head is easy to process and can save costs. When the upper part 411b of the sampling head is concave, the urine remaining on the upper part 411b of the sampling head can flow into the sampling head body 411 along the concave structure as much as possible, the loss of urine is small, the urine collection speed is fast, and the detection efficiency is higher. When the upper part 411b of the sampling head is convex, the internal volume of the sampling head body 411 is larger, the liquid storage capacity of the urine sampling head 410 is larger, and sufficient urine samples can be provided. The above three structures are selected according to actual conditions. Since the urine sampling head 410 is independently provided, the sampling heads in the above three stages can be processed, and the more suitable sampling head can be selected under different conditions.

[0135] Further, the lower part 411c of the sampling head completely or partially contains the filtered urine passing through the through hole 411a.

[0136] In the case that the lower part 411c of the sampling head partially contains the filtered urine, the lower part 411c of the sampling head is partially sealed or unsealed. The filtered urine passes through the filter structure and directly flows downward, and does not gather in the filter structure. In this case, the setting position of the urine transmission pipeline 780 is not fixed, and the opening of the pipeline is arranged on the path of the urine inflow. Part of the urine directly flows into the urine transmission pipeline 780. At this time, the urine sample obtained by the urine sampler 400 is fresh urine, and the urine detection module detects the fresh urine. The reference value of the detection result is higher.

[0137] In the case that the lower part 411c of the sampling head completely contains the filtered urine, the lower part 411c of the sampling head is completely sealed, and the urine gathers in the sampling head body 411. The end of the urine transmission pipeline 780 is attached to or close to the bottom of the lower part 411c of the sampling head. The urine transmission pipeline 780 can more stably suck the urine, and the amount of the sucked urine is larger, which can improve the detection efficiency.

[0138] Further, the connecting mechanism 412 includes a limiting mechanism 412d for limiting the assembly angle of the urine sampling head 410. Specifically, the limiting mechanism 412d is a limiting boss or a limiting groove. The adapter mechanism 420 of the urine sampler 400 is connected with the connecting mechanism 412, and the adapter mechanism 420 is provided with an adapter groove 421a or an adapter boss matched with the limiting boss or the limiting groove. The boss and the groove are matched to limit the assembly angle of the urine sampling head 410, and can prevent the installed urine sampling head 410 from rotating, and the connection is more stable.

[0139] The sampling head body 411 is integrally arranged with the connecting mechanism 412 or detachably connected. The integrally arranged production step is less, and the processing difficulty of the detachably connected sampling head body 411 and the connecting mechanism 412 is lower. In the embodiment, the sampling head body 411 is integrally arranged with the connecting mechanism 412.

[0140] Embodiment 4

[0141] The intelligent toilet further comprises a sampling micro-flow pump 500 arranged on a urine transmission pipeline between the urine sampler 400 and the urine detection module, which can be used for removing gas in the urine. Through the arrangement of the sampling micro-flow pump 500, real-time and controllable setting of urine detection can be realized, thereby facilitating accurate urine detection and control.

[0142] Embodiment 5

[0143] Please refer to Figures 12 to 14 The embodiment of the present application discloses a replaceable reagent consumable box 620, which comprises a consumable box body 621, a consumable box reagent inlet 622, a consumable box reagent outlet 623 and a consumable box sealing piece 624. The consumable box reagent inlet 622 and the consumable box reagent outlet 623 are arranged on the consumable box body 621, and the consumable box sealing piece 624 is arranged at the consumable box reagent outlet 623. When the consumable box body 621 is installed, the consumable box sealing piece 624 is opened under the action of external force, the consumable box reagent outlet 623 is in communication with the outside world, and the reagent in the replaceable reagent consumable box 620 can flow out of the consumable box reagent outlet 623 and mix with urine in the next process. When the consumable box body 621 is disassembled, the consumable box sealing piece 624 is reset, the consumable box reagent outlet 623 is closed, and the reagent cannot flow out of the consumable box reagent outlet 623 and is stored in the replaceable reagent consumable box 620. The arrangement of the consumable box sealing piece 624 makes the replaceable reagent consumable box 620 can be disassembled at will and conveniently, and the disassembled replaceable reagent consumable box 620 has good sealing performance, which is convenient for adding or replacing reagents.

[0144] In order to facilitate understanding of the structure of the replaceable reagent consumable box 620, the consumable box body 621, the consumable box reagent inlet 622, the consumable box reagent outlet 623 and the consumable box sealing piece 624 will be described respectively as follows:

[0145] The shape of the consumable box body 621 can be tetrahedron, cone, cylinder or other polyhedral structure, and the structure is not limited. In the embodiment, the consumable box body 621 is preferably a cuboid structure. When the number of replaceable reagent consumable boxes 620 is multiple, the consumable box body 621 in a cuboid structure can be more compact. Because the internal structure of the intelligent toilet is complex and the space is limited, the compact installation of the consumable box body 621 can reasonably use the internal space of the intelligent toilet. In addition, the cuboid-shaped consumable box body 621 has a larger volume, and in the case of occupying the same space, the cuboid-shaped consumable box body 621 has a larger capacity and can accommodate more reagents.

[0146] The consumable box reagent inlet 622 is arranged on the consumable box body 621 and can be arranged on the top surface of the consumable box body 621 or the side surface of the consumable box body 621. When the consumable box reagent inlet 622 is arranged on the side surface of the consumable box body 621, it should be arranged as high as possible. In the embodiment, the consumable box reagent inlet 622 is preferably arranged on the top surface of the consumable box body 621. The higher the position of the consumable box reagent inlet 622, the less likely it is to affect the storage of the reagent. For example, when the consumable box reagent inlet 622 is arranged on the side surface of the consumable box body 621, the liquid level of the reagent should be lower than the lowest point of the consumable box reagent inlet 622. When the consumable box reagent inlet 622 is arranged on the top surface of the consumable box body 621, the reagent can fill the entire container, and there is no situation that the liquid level is limited.

[0147] Please refer to Figure 13The outer part of the consumable box body 621 is provided with an electronic tag 621a for reading reagent information. When the replaceable reagent consumable box 620 contains reagents, the electronic tag 621a can detect the reagents and read the relevant information of the reagents, including reagent model, reagent capacity, reagent quality, and reagent storage time. Further, the electronic tag 621a is an RFID or NFC tag. RFID technology is a radio frequency identification technology (Radio Frequency Identification, RFID), which is an automatic identification technology. It realizes non-contact two-way data communication through wireless radio frequency and reads and writes recording media (electronic tags or radio frequency cards) to achieve the purpose of identification and data exchange. NFC technology is a new technology. Devices using NFC technology (such as mobile phones) can exchange data when they are close to each other. It is evolved from non-contact radio frequency identification (RFID) and interconnection technology. By integrating an inductive reader, an inductive card, and point-to-point communication functions on a single chip, mobile terminals can be used for mobile payment, electronic ticketing, access control, mobile identity recognition, anti-counterfeiting, and other applications. Preferably, the RFID electronic tag is used in the embodiment, which has low cost and high stability.

[0148] Please refer to Figure 12 The outer part of the consumable box body 621 is provided with a transparent part 621b for viewing the reagent capacity. The transparent part 621b can be made of glass or transparent tape, which has sealing and observation functions. Further, the transparent part 621b is provided with a scale, which covers the height range of the reagent to accurately detect the reagent capacity.

[0149] Please refer to Figure 14 The consumable box body 621 is also provided with a mounting hole 621c. The consumable box sealing part 624 includes a reset part 624a, a spring needle 624b, and a cover plate 624c. The reset part 624a is arranged in the mounting hole 621c and reciprocates in the mounting hole 621c. The spring needle 624b is arranged at the lower end of the reset part 624a. The reset part 624a drives the spring needle 624b to reciprocate, and the spring needle 624b can close and open the reagent outlet 623 of the consumable box during reciprocation. The cover plate 624c is arranged at the upper end of the reset part 624a and is used to support the reset part 624a and limit the reset position of the reset part 624a. The reset part 624a is fixedly arranged on the cover plate 624c, and the cover plate 624c is fixedly arranged in the replaceable reagent consumable box 620. The reset part 624a reciprocates away from the cover plate 624c.

[0150] When the consumable box body 621 is installed, the elastic needle 624b is compressed under the action of external force, the elastic needle 624b does not contact the consumable box reagent outlet 623, the cover plate 624c is in communication with the reset member 624a, and the reagent flows out of the consumable box reagent outlet 623 from the consumable box body 621, the cover plate 624c, the reset member 624a and the elastic needle 624b. Further, a plurality of small holes for reagent flow are arranged on the cover plate 624c, and the plurality of small holes are arranged on the cover plate 624c in a frame shape, which can support the reset member 624a and also enable the reagent to flow. The reset member 624a and the hole wall of the mounting hole 621c form a first gap 625, and the reagent can flow out of the consumable box reagent outlet 623 through the first gap 625. In this embodiment, the reset member 624a is preferably a spring, the width of the spring is smaller than the diameter of the mounting hole 621c, the middle part of the spring is hollow, and the reagent can flow into the spring from the cover body, flow out of the spring into the first gap 625, and then flow out through the first gap 625. The elastic needle 624b and the hole wall of the mounting hole 621c form a second gap 626, the first gap 625 and the second gap 626 are in communication, the second gap 626 and the consumable box reagent outlet 623 are in communication, and the reagent flows into the second gap 626 from the first gap 625 and then flows out of the consumable box reagent outlet 623. In this embodiment, the width of the elastic needle 624b is smaller than the diameter of the mounting hole 621c, the elastic needle 624b is fixedly connected with the reset member 624a, the elastic needle 624b and the reset member 624a are sealed, and the reagent can smoothly flow out of the consumable box reagent outlet 623.

[0151] The position of the elastic needle 624b corresponds to the position of the consumable box reagent outlet 623, when the consumable box body 621 is disassembled, the external force is removed, the reset member 624a resets, the reset member 624a drives the elastic needle 624b to move downward, until the lower end surface of the elastic needle 624b covers the consumable box reagent outlet 623, and the consumable box reagent outlet 623 is closed.

[0152] Embodiment 6

[0153] See Figures 15 to 17 The embodiment of the present application discloses a consumable storage box 600, which comprises a consumable storage box body 610 and an electronic tag card reader 611, the consumable storage box body 610 contains a plurality of replaceable reagent consumable boxes 620, the replaceable reagent consumable boxes 620 contain a plurality of reagents, and the plurality of reagents can be simultaneously mixed with sample urine to form a plurality of different mixed liquids for different types of detection, so as to improve detection accuracy and range, the electronic tag card reader 611 is arranged on the consumable storage box body 610 and is used for reading electronic tag 621a data on the replaceable reagent consumable box 620, the electronic tag 621a data comprises data of each reagent, so that an operator can know related information of the reagent in time.

[0154] In order to facilitate understanding of the structure of the consumable storage box 600, the consumable storage box body 610, the electronic tag card reader 611 and the replaceable reagent consumable box 620 will be described as follows:

[0155] The types of reagents contained in the consumable storage box body 610 are defined by the operator, and a plurality of reagents are arranged in the replaceable reagent consumable box 620, which is convenient for operation, can be uniformly managed, and can fully utilize the small internal space of the intelligent toilet. In the present embodiment, preferably, the reagents include four types, and after the four types of reagents are respectively mixed with urine, the respective mixed liquids enter the urine detection module for microscopic examination, fluorescence detection, spectral detection and electrochemical detection. The plurality of detection methods can improve the range and accuracy of urine detection.

[0156] Preferably, referring to Figure 15 , the consumable storage box 600 further comprises a consumable storage box upper cover 630, which is used to seal the consumable storage box body 610. When it is necessary to replace the consumable box, the consumable storage box upper cover 630 is opened, the consumable box is placed in the consumable storage box body 610, and after the placement is completed, the consumable storage box upper cover 630 is installed to realize the sealing of the consumable storage box body 610. Further, the consumable box is fastened between the consumable storage box body 610 and the consumable storage box upper cover 630 to realize the fixation of the consumable box.

[0157] Please refer to Figure 15 , the consumable storage box body 610 is provided with a transparent window 612, which is used to observe the reagent capacity. The replaceable reagent consumable box 620 is provided with a transparent piece 621b, and the position of the transparent window 612 corresponds to the position of the transparent piece 621b on the replaceable reagent consumable box 620. The transparent piece 621b corresponds to the reagent in the replaceable reagent consumable box 620, and the reagent capacity in the replaceable reagent consumable box 620 can be observed through the transparent piece 621b. In order to more directly observe the reagent capacity in the replaceable reagent consumable box 620, it is necessary to set the transparent window 612 to observe the information reflected by the transparent piece 621b. Further, the transparent window 612 is partially transparent or fully transparent, and the degree of transparency will determine the accuracy of the observation by the operator. In the present embodiment, a fully transparent transparent window 612 is selected, and the observation effect is better. Further, the transparent window 612 can be selected from transparent elements such as glass. Of course, in order to ensure that the reagent capacity reflected by the transparent piece 621b is more intuitive, the transparent window 612 can be only a window without other elements installed therein, and the operator can directly observe the reagent capacity reflected by the transparent piece 621b through the window, and the observation effect is better. However, in the present embodiment, the transparent window 612 with glass is preferred, which can effectively isolate external dust and prevent dust from entering the replaceable reagent consumable box 620 to affect the detection effect.

[0158] Please see Figure 17 The bottom of the consumable storage box body 610 is provided with a plurality of ejector pins 613, which are used to open the consumable box reagent outlet 623 of the replaceable reagent consumable box 620. The positions of the plurality of ejector pins 613 correspond to the positions of the plurality of ejector pins 624b of the replaceable reagent consumable box 620. The ejector pins 613 can provide an external force to the replaceable reagent consumable box 620. When the replaceable reagent consumable box 620 is installed, the ejector pins 613 are in contact with the ejector pins 624b, the return element 624a is compressed, the consumable box reagent outlet 623 is connected to the outside world, and the reagent in the replaceable reagent consumable box 620 can flow out from the consumable box reagent outlet 623. When the replaceable reagent consumable box 620 is removed, the ejector pins 624b are away from the ejector pins 613 until the ejector pins 613 are not in contact with the ejector pins 624b, and there is no external force acting on the ejector pins 624b. The return element 624a resets, and the ejector pins 624b close the consumable box reagent outlet 623.

[0159] Further, please see Figure 16 The consumable storage box body 610 further includes a consumable storage box liquid outlet 614, which is located at a position corresponding to the position of the consumable box reagent outlet 623. The reagent flows out of the consumable storage box 600 from the consumable box reagent outlet 623 through the consumable storage box liquid outlet 614, and the reagent enters the next detection process to mix with urine to form a mixture and form a mixed liquid. The related data of the mixed liquid are detected to determine the physical condition of the human body.

[0160] Further, please see Figure 16The consumable box body 621 is externally provided with an electronic tag 621a for reading reagent information, and the consumable storage box body 610 is provided with an electronic tag card reader 611, the position of the electronic tag card reader 611 corresponds to the position of the electronic tag 621a on the replaceable reagent consumable box 620. When the replaceable reagent consumable box 620 is loaded with reagents, the electronic tag 621a can detect and read the relevant information of the reagents, and the relevant information of the reagents includes the reagent model, the reagent capacity, the reagent quality, and the reagent storage time, etc. The electronic tag card reader 611 can read and write the reagent information obtained by the electronic tag 621a, so as to realize the monitoring and correction of the reagent information. Further, the electronic tag 621a is an RFID electronic tag or an NFC electronic tag 621a, and the electronic tag card reader 611 is an RFID or NFC electronic tag card reader 611. RFID technology is a radio frequency identification technology (Radio Frequency Identification, RFID), which is an automatic identification technology, and realizes non-contact two-way data communication through wireless radio frequency, and realizes the purpose of identification and data exchange by reading and writing the recording medium (electronic tag or radio frequency card) through wireless radio frequency. NFC technology is a new technology, and a device (such as a mobile phone) using NFC technology can exchange data when the devices are close to each other, which is evolved from non-contact radio frequency identification (RFID) and interconnection technology, and realizes mobile payment, electronic ticket, access control, mobile identity recognition, anti-counterfeiting and other applications by integrating inductive card readers, inductive cards and point-to-point communication functions on a single chip. Preferably, in the embodiment, RFID electronic tags and RFID electronic tag card readers are selected, which have higher stability.

[0161] Example 7

[0162] See Figures 18 to 20 The embodiment of the application discloses a microfluidic detection chip 710, which is arranged in an optical urine detection module to provide a detection environment for optical urine detection. Specifically, the optical urine detection module includes a microscopic image acquisition module 720, a fluorescent image acquisition module 740, and a spectral image acquisition module, and the three modules are all provided with the microfluidic detection chip 710.

[0163] See Figure 18 and Figure 19The microfluidic detection chip 710 provided by the application comprises a detection chip body 711, a detection chip sample inlet 712, a sample detection chamber 713 and a first microfluidic channel 714. The sample detection chamber 713 is arranged in the detection chip body 711 and is used for accommodating and assisting in detecting a sample. The first microfluidic channel 714 is arranged in the detection chip body 711. The sample flows into the sample detection chamber 713 from the detection chip sample inlet 712 through the first microfluidic channel 714. In this embodiment, the detection chip sample inlet 712, the sample detection chamber 713 and the first microfluidic channel 714 are sequentially communicated, and the sample can directly flow into the sample detection chamber 713 through the first microfluidic channel 714 for detection. The microfluidic detection chip 710 has high integration, does not need manual transfer of the detection sample and has a simple detection process.

[0164] The microfluidic detection chip 710 is detachably connected with the microscopic image acquisition module 720, the fluorescence image acquisition module 740 and the spectral image acquisition module. When the detection chip body 711 in the three modules is contaminated, the microfluidic detection chip 710 can be detached, and the contaminated detection device can be replaced, so that the accuracy of the detection result is ensured.

[0165] The microfluidic detection chip 710 is convenient to clean. The cleaning liquid is injected into the first microfluidic channel 714, and the sample after cleaning flows out from the second microfluidic channel 716, so that the detection chip body 711, the first microfluidic channel 714 and the second microfluidic channel 716 can be conveniently cleaned.

[0166] In order to facilitate understanding of the structure of the microfluidic detection chip 710, the detection chip body 711, the detection chip sample inlet 712, the sample detection chamber 713 and the first microfluidic channel 714 will be described respectively as follows:

[0167] Please refer to Figures 18 to 20 The sample detection chamber 713 is partially transparent or fully transparent. The sample detection chamber is used for assisting in detecting a sample. The sample detection chamber 713 comprises an upper chamber wall, a lower chamber wall and a side wall. When the side wall is transparent and the upper chamber wall or the lower chamber wall is also transparent, the sample flows into the inside of the detection chamber, an external light source can penetrate the side wall, the transparent upper chamber wall or the lower chamber wall to enter the sample detection chamber 713, and the light is reflected out of the sample detection chamber 713 through the transparent upper chamber wall or the lower chamber wall. Accordingly, the light source environment can be provided for sample detection. When the upper chamber wall and the lower chamber wall are both transparent, the light provided by the light source can penetrate the upper chamber wall and the lower chamber wall from one side of the upper chamber wall or the lower chamber wall, so as to provide the light environment for sample detection. The microfluidic detection chip 710 in this embodiment is used for assisting in detecting a sample, has high integration, simple structure and low detection cost.

[0168] In the embodiment, the first microfluidic channel 714 is arranged in the detection chip body 711, the sample detection chamber 713 is arranged in a section of the first microfluidic channel 714, and the detection chip sample inlet 712 is arranged at one end of the first microfluidic channel 714 and communicates with the outside. The sample flows into the first microfluidic channel 714 from the detection chip sample inlet 712 and directly enters the sample detection chamber 713. In the sample detection chamber 713, the detection module can directly detect the urine, without manual transfer of the detection sample, and the detection process is relatively simple.

[0169] The detection chip further comprises a detection chip sample outlet 715 and a second microfluidic channel 716. The detection chip sample outlet 715 is arranged at one end of the second microfluidic channel 716 and communicates with the outside. The sample flows out of the detection chip sample outlet 715 from the sample detection chamber 713 through the second microfluidic channel 716. The second microfluidic channel 716 is arranged in the detection chip body 711. The first microfluidic channel 714 communicates with the second microfluidic channel 716. The sample first enters the sample detection chamber 713 from the first microfluidic channel 714, then flows into the second microfluidic channel 716 from the sample detection chamber 713, and finally flows out of the detection chip through the detection chip sample outlet 715 to complete the sample detection. In the embodiment, the detection chip comprises both the first microfluidic channel 714 and the second microfluidic channel 716. If the sample is a detection sample, the sample is detected through the first microfluidic channel 714 and forms waste liquid which flows out of the second microfluidic channel 716. The detection chip can be reused. If the sample is a cleaning liquid, the inside of the detection chip can be cleaned for next use.

[0170] In another embodiment, the detection chip only comprises the first microfluidic channel 714 and does not comprise the second microfluidic channel 716. The sample only enters but does not exit. The detection chip is a disposable product.

[0171] Please refer to Figure 19 and Figure 20 The detection chip body 711 further comprises a device chamber for accommodating a detection device for providing a detection environment for the sample detection.

[0172] Further, the device chamber comprises a first device chamber 711a for accommodating a light-emitting device 711b. The light-emitting device 711b emits a light source for detecting the sample. The sample irradiated by the light source is transmitted out of the microfluidic detection chip 710 so as to be detected and analyzed by the optical urine detection module. Further, the light-emitting device 711b comprises at least one of an ultraviolet light source, an infrared light source, or a visible light source.

[0173] Further, the device chamber further comprises a second device chamber 711c, the second device chamber 711c is used for accommodating a temperature regulating device 711d. The arrangement position of the second device chamber 711c is not limited here, as long as it can provide a suitable temperature environment for the sample detection chamber. Preferably, in the embodiment, the second device chamber 711c is arranged between the first device chamber 711a and the sample detection chamber 713, and is used for regulating the temperature of the sample detection chamber 713. When the sample is detected, the sample needs to be kept in a constant temperature condition. The temperature regulating device 711d provides a constant temperature environment for the sample detection, and the detection effect is better under the constant temperature condition. Further, the temperature regulating device 711d is partially transparent or fully transparent. The temperature regulating device 711d is arranged between the light emitting device 711b and the sample. Only when the temperature regulating device 711d is fully transparent or partially transparent, the light source emitted by the light emitting device 711b can be projected onto the sample. Further, the temperature regulating device 711d comprises a temperature sensor and a temperature control unit.

[0174] Further, the device chamber further comprises a device seal 711e. In the embodiment, the device seal 711e seals the bottom of the sample detection chamber 713. In other embodiments, the device seal 711e can be arranged at other positions. As long as the device seal 711e is located between the sample detection chamber 713 and the second device chamber 711c, so that the light emitted by the light emitting device 711b can pass through the device seal 711e to assist in detecting the sample. The device seal 711e also seals the device chamber. After the sample passes through the first micro channel 714, if the sample flows into the device chamber, it will affect the normal operation of the detection devices. Therefore, the device seal 711e isolates the sample detection chamber 713 from the device chamber, which can effectively prevent the sample from leaking. Further, the device seal 711e is partially transparent or fully transparent. Only when the device seal 711e is fully transparent or partially transparent, the light source emitted by the light emitting device 711b can be projected onto the sample.

[0175] Please refer to Figures 18 to 20 The detection chip body 711 further comprises a first chamber cover 711f, which is used for sealing the sample detection chamber 713 to prevent the sample from leaking, and can better store the sample. Further, the first chamber cover 711f is partially transparent or fully transparent. Only when the first chamber cover 711f is fully transparent or partially transparent, the light source emitted by the light emitting device 711b can be projected onto the sample. Under the irradiation of the light source, the chamber cover which is transparent can transmit the relevant information of the sample, so as to analyze the sample.

[0176] The detection chip body 711 further comprises a second chamber cover 711g arranged on one side of the second microfluid channel 716 for sealing the second microfluid channel 716. The first chamber cover 711f and the second chamber cover 711g seal the entire detection chip body 711. The second chamber cover 711g supports and contains each detection device as a support body, and the first chamber cover 711f covers the second chamber cover 711g as a cover plate. The first chamber cover 711f and the second chamber cover 711g are detachably connected, specifically, the first chamber cover 711f and the second chamber cover 711g are connected by clamping, bonding or sliding. When the first chamber cover 711f is detached, the internal structure of the microfluidic detection chip 710 can be viewed, and the internal components can be conveniently cleaned, repaired or replaced.

[0177] Further, the sample detection chamber 713 is formed between the first chamber cover 711f and the device chamber, and is used for storing the sample to be detected. The sample detection chamber 713 is located at a position corresponding to the position of the device chamber, and the upper and lower bottom surfaces of the sample detection chamber 713 have shapes and areas adapted to the cross-sectional shape and area of the device chamber, so as to facilitate detection of the sample. Specifically, in this embodiment, the sample detection chamber 713 has the same shape and area as the device chamber. The light source of the sample detection chamber 713 can completely irradiate the sample in the sample storage chamber, and the light source can be fully utilized, and the detection efficiency is higher.

[0178] Embodiment 8

[0179] See Figure 21 and Figure 22 The embodiment of the present application discloses a microscopic image information acquisition module 730, which comprises a microscope body 731, a stage 735 and a microscopic optical information acquisition assembly 736. The microscope body 731 comprises a lens group 732. The sample to be detected is arranged on the stage 735. The stage 735 is arranged on one side of the image incident of the lens group 732. The microscopic optical information acquisition assembly 736 is located on the microscope body 731. The sample to be detected forms a current microscopic image of the sample to be detected after being magnified by the lens group 732. The current microscopic image of the sample to be detected reflects the current state of the sample to be detected. The microscopic optical information acquisition assembly 736 located on the microscope body 731 can shoot the current state of the sample to be detected, can extract the biological information of the sample to be detected magnified by the microscope and save the biological information in the form of a picture, can transfer the picture to a detection place for detection, and has higher detection accuracy. At the same time, in order to avoid detection errors, the picture can also be called for secondary verification. The positions of the stage 735, the microscope body 731 and the microscopic optical information acquisition assembly 736 are relatively fixed. The sample to be detected can be directly detected after entering the stage 735, and the detection is more convenient.

[0180] In order to facilitate understanding of the structure of the microscopic image information acquisition module 730, the microscope body 731, the object table 735 and the microscopic optical information acquisition assembly 736 will be described respectively as follows:

[0181] Please refer to Figure 22 , the microscope includes a filter assembly 734 and a zoom assembly 733, the filter assembly 734 is arranged between the microscopic optical information acquisition assembly 736 and the zoom assembly 733, the filter assembly 734 includes a first filter 734b and a second filter arranged in turn from one end of the microscopic optical information acquisition assembly 736, the first filter 734b and the second filter can select the required radiation waveband, so that the sample presents an image convenient for observation, the zoom assembly 733 can change the focal length within a certain range, so as to obtain different wide and narrow field angles, different sizes of images and different scene ranges, the zoom assembly 733 can change the shooting range by changing the focal length without changing the shooting distance, therefore it is very beneficial to picture composition, in the embodiment, the filter assembly 734, the zoom assembly 733 and the position between the filter assembly 734 and the zoom assembly 733 are relatively fixed, the filter assembly 734 and the zoom assembly 733 can clearly project the image of the sample.

[0182] Further, the zoom assembly 733 includes a first magnifying lens 733a, a second magnifying lens 733b and a protective lens 733c arranged in turn from one end of the filter assembly 734, the first magnifying lens 733a and the second magnifying lens 733b provide a magnifying environment for the sample, the position of the second magnifying lens 733b is fixed, the sample is stored in the microfluidic detection chip 710, the sample is located between one focal length and two focal lengths of the second magnifying lens 733b, the imaging of the sample is outside two focal lengths of the first magnifying lens 733a, and presents an inverted and enlarged real image, the second magnifying lens 733b is fixed at a certain position, and the inverted real image of the first magnifying lens 733a is enlarged to present a right-side virtual image. The protective lens 733c is used for protecting the internal elements of the microscope, preventing external dust or impurities from entering the interior of the microscope and polluting the lens.

[0183] Further, the first magnifying lens 733a, the second magnifying lens 733b and the protective lens 733c are stacked in central alignment, the first magnifying lens 733a is close to the light filtering assembly 734, the protective lens 733c is arranged at the end of the microscope close to the microfluidic detection chip 710, and the second magnifying lens 733b is arranged between the first magnifying lens 733a and the protective lens 733c. The central alignment can ensure that the relative positions of the first magnifying lens 733a, the second magnifying lens 733b and the protective lens 733c are fixed, the magnification is a preset magnification, and the position of the objective table 735 corresponds to the positions of the first magnifying lens 733a, the second magnifying lens 733b and the protective lens 733c. The positions of the sample, the protective lens 733c, the second magnifying lens 733b and the first magnifying lens 733a are relatively fixed, so that the sample on the objective table 735 can be directly detected without frequent adjustment of the positional relationship between the parts.

[0184] Further, the first magnifying lens 733a is a Fresnel lens, and the second magnifying lens 733b is a crescent lens or a Fresnel lens. The crescent lens can produce the smallest collimated incident light focal point and has a good projection effect. The Fresnel lens is a threaded lens, and the Fresnel lens is usually a thin sheet made of polyolefin material by injection molding. The lens surface has one light surface and the other surface is engraved with concentric circles from small to large. The texture is designed according to the interference and scattering of light, as well as the requirements of relative sensitivity and receiving angle.

[0185] Further, the protective lens 733c is a plane mirror, and the microfluidic detection chip 710 includes a light emitting device 711b. The light source of the light emitting device 711b is directly incident on the sample, the position of the sample corresponds to the position of the microscope, the light emitted by the light emitting layer is directly incident into the microscope, which is not convenient for observation. The plane mirror has weak light reflection ability. The plane mirror is arranged at the end of the microscope close to the microfluidic detection chip 710, which can provide a good lighting environment and better imaging effect of the microscope.

[0186] Please refer to Figure 21 Further, the microscopic optical information acquisition assembly 736 includes a CCD / CMOS integrated assembly. The CCD integrated assembly can convert light into electric charge and store and transfer the electric charge. The stored electric charge can be taken out to change the voltage. Therefore, the CCD integrated assembly is an ideal imaging element. The CCD integrated assembly has the advantages of small size, light weight, no influence of magnetic field, resistance to vibration and impact, etc. The CMOS is a complementary metal oxide semiconductor. The CMOS has N negative electricity and P positive electricity levels. The current generated by the two complementary effects is interpreted into a picture displayed on the chip. The CMOS integrated assembly has low cost and saves power.

[0187] Embodiment 9

[0188] Please refer toFigure 21 and Figure 23 The embodiment of the present application discloses a microscopic image acquisition module 720, comprising a microfluidic detection chip 710 and the aforementioned microscopic image information acquisition module 730, and a stage 735 is arranged on the microfluidic detection chip 710. The microfluidic detection chip 710 provides a detection environment for sample detection, such as a light environment and a constant temperature environment. Accordingly, the image acquired by the microscopic image acquisition module 720 is clearer and can reflect more relevant information of the sample to be detected.

[0189] Further, the stage 735 is arranged on the microfluidic detection chip 710 and is used for accommodating a sample detection chamber 713 for accommodating a sample.

[0190] Embodiment 10

[0191] Please refer to Figure 24 and Figure 25 The embodiment of the present application discloses an optical information acquisition module 740,

[0192] The optical information acquisition module 740 comprises a microfluidic detection chip 710 and an optical information acquisition assembly 741. The microfluidic detection chip 710 is used for accommodating a sample and providing a detection environment for optical detection of the sample to assist in acquiring optical information of the sample. In the image acquisition process, no microscope is arranged, and the microfluidic detection chip 710 can provide a detection environment for optical detection of the sample to assist in acquiring optical information of the sample. The microfluidic detection chip 710 projects an optical image of the sample into the optical information acquisition assembly 741, and the optical information acquisition assembly 741 acquires and saves the optical image information of the sample. This can save costs. In addition, the sample can flow into the microfluidic detection chip 710, and the optical information acquisition assembly 740 can directly acquire the optical information of the sample. This does not need manual transfer of the detection sample, and the detection process is relatively simple, thereby saving costs.

[0193] In order to facilitate understanding of the structure of the optical information acquisition module 740, the microfluidic detection chip 710 and the fluorescent optical information acquisition assembly 741 will be described respectively as follows:

[0194] Please refer to Figure 26 and Figure 27The microfluidic detection chip 710 provided by the embodiment of the present application comprises a detection chip body 711, a detection chip sample inlet 712, a sample detection chamber 713 and a first microfluidic channel 714. The sample detection chamber 713 is arranged in the detection chip body 711 and is used for accommodating and assisting in detecting a sample. The first microfluidic channel 714 is arranged in the detection chip body 711. The sample flows into the sample detection chamber 713 from the detection chip sample inlet 712 through the first microfluidic channel 714. In the embodiment, the detection chip sample inlet 712, the sample detection chamber 713 and the first microfluidic channel 714 are sequentially communicated. The sample can directly flow into the sample detection chamber 713 through the first microfluidic channel 714 for detection. The microfluidic detection chip 710 has high integration, does not need manual transfer of the detection sample and has a relatively simple detection process. The microfluidic detection chip 710 is convenient to clean. The cleaning liquid is injected into the first microfluidic channel 714. The sample after cleaning flows out from the second microfluidic channel 716. The detection chip body 711, the first microfluidic channel 714 and the second microfluidic channel 716 can be conveniently cleaned.

[0195] The sample detection chamber 713 is partially transparent or fully transparent. The sample detection chamber is used for assisting in detecting a sample. The sample detection chamber 713 comprises an upper chamber wall, a lower chamber wall and a side wall. When the side wall is transparent and the upper chamber wall or the lower chamber wall is also transparent, the sample is introduced into the inside of the detection chamber. An external light source can penetrate the side wall, the transparent upper chamber wall or the lower chamber wall into the sample detection chamber 713. The light is reflected out of the sample detection chamber 713 through the transparent upper chamber wall or the lower chamber wall. Accordingly, the light source environment can be provided for sample detection. When the upper chamber wall and the lower chamber wall are both transparent, the light provided by the light source can penetrate the upper chamber wall and the lower chamber wall from one side of the upper chamber wall or the lower chamber wall to provide the light environment for sample detection. The microfluidic detection chip 710 in the embodiment is used for assisting in detecting a sample, has high integration, simple structure and reduced detection cost.

[0196] In the embodiment, the first microfluidic channel 714 is arranged in the detection chip body 711. The sample detection chamber 713 is located at one section of the first microfluidic channel 714. The detection chip sample inlet 712 is arranged at one end of the first microfluidic channel 714 and is communicated with the outside. The sample flows into the first microfluidic channel 714 from the detection chip sample inlet 712 and directly enters the sample detection chamber 713. In the sample detection chamber 713, the detection module can directly detect the sample without manual transfer of the detection sample. The detection process is relatively simple.

[0197] The detection chip further comprises a detection chip sample outlet 715 and a second microfluidic channel 716. The detection chip sample outlet 715 is arranged at one end of the second microfluidic channel 716 and communicates with the outside. The sample flows out of the detection chip sample outlet 715 from the sample detection chamber 713 through the second microfluidic channel 716. The second microfluidic channel 716 is arranged in the detection chip body 711. The first microfluidic channel 714 communicates with the second microfluidic channel 716. The sample first enters the sample detection chamber 713 from the first microfluidic channel 714, then flows into the second microfluidic channel 716 from the sample detection chamber 713, and finally flows out of the detection chip through the detection chip sample outlet 715 to complete the sample detection. In this embodiment, the detection chip comprises both the first microfluidic channel 714 and the second microfluidic channel 716. If the sample is a urine sample, the waste liquid formed after the sample is detected through the first microfluidic channel 714 flows out through the second microfluidic channel 716. The detection chip can be reused. If the sample is a cleaning liquid, the inside of the detection chip can be cleaned for next use.

[0198] In another embodiment, the detection chip only comprises the first microfluidic channel 714 and does not comprise the second microfluidic channel 716. The sample only enters but does not exit. The detection chip is a disposable product.

[0199] The detection chip body 711 further comprises a device chamber for accommodating a detection device for providing a detection environment for sample detection.

[0200] Further, the device chamber comprises a first device chamber 711a for accommodating a light-emitting device 711b. The light-emitting device 711b emits a light source for detecting the sample. The light source is projected onto the sample. The sample transmitted by the light source is transmitted out of the microfluidic detection chip 710 so as to be detected and analyzed by the optical sample detection device. Further, the light-emitting device 711b comprises at least one of an ultraviolet light source, an infrared light source or a visible light source.

[0201] When the microfluidic detection chip 710 is applied to fluorescence image information collection, the light-emitting device 711b emits a light source for exciting the fluorescence substance of the sample. The light source is projected onto the sample. The sample transmitted by the light source is transmitted out of the microfluidic detection chip 710 so as to be detected and analyzed by the optical sample detection device. Further, the light-emitting device 711b comprises at least one of an ultraviolet light source or a blue-violet light source.

[0202] When the microfluidic detection chip 710 is applied to spectrum information collection, the light-emitting device 711b emits a light source for exciting the spectrum information of the sample. The light source is projected onto the sample. The sample transmitted by the light source is transmitted out of the microfluidic detection chip 710 so as to be detected and analyzed by the optical sample detection device. Further, the light-emitting device 711b comprises at least one of an infrared light source or an X-ray.

[0203] Further, the device chamber further comprises a second device chamber 711c, the second device chamber 711c is used for accommodating a temperature regulating device 711d. The arrangement position of the second device chamber 711c is not limited here, as long as it can provide a suitable temperature environment for the sample detection chamber. Preferably, in the embodiment, the second device chamber 711c is arranged between the first device chamber 711a and the sample detection chamber 713, and is used for regulating the temperature of the sample detection chamber 713. When the sample is detected, it is necessary to ensure that the sample is in a constant temperature condition. The temperature regulating device 711d provides a constant temperature environment for the sample detection, and the detection effect is better under the constant temperature condition. Further, the temperature regulating device 711d is partially transparent or fully transparent. The temperature regulating device 711d is arranged between the light emitting device 711b and the sample. Only when the temperature regulating device 711d is fully transparent or partially transparent, the light source emitted by the light emitting device 711b can be projected onto the sample. Further, the temperature regulating device 711d comprises a temperature sensor and a temperature control unit.

[0204] Further, the device chamber further comprises a device seal 711e. In the embodiment, the device seal 711e seals the bottom of the sample detection chamber 713. In other embodiments, the device seal 711e can be arranged at other positions. As long as the device seal 711e is located between the sample detection chamber 713 and the second device chamber 711c, so as to ensure that the light emitted by the light emitting device 711b can pass through the device seal 711e to achieve the function of assisting in detecting the sample. The device seal 711e also seals the device chamber. After the sample passes through the first micro channel 714, if the sample flows into the device chamber, it will affect the normal operation of each detection device. Therefore, the device seal 711e isolates the sample detection chamber 713 from the device chamber, which can effectively prevent the sample from leaking. Further, the device seal 711e is partially transparent or fully transparent. Only when the device seal 711e is fully transparent or partially transparent, the light source emitted by the light emitting device 711b can be projected onto the sample.

[0205] Please refer to Figures 18 to 27 The detection chip body 711 further comprises a first chamber cover 711f, which is used for sealing the sample detection chamber 713 to prevent the sample from leaking, and can better store the sample. Further, the first chamber cover 711f is partially transparent or fully transparent. Only when the first chamber cover 711f is fully transparent or partially transparent, the light source emitted by the light emitting device 711b can be projected onto the sample. Under the irradiation of the light source, the chamber cover which is transparent can transmit the related information of the sample, so as to analyze the sample.

[0206] Further, the first chamber cover 711f comprises an excitation light filter layer 711h, which is located between the light emitting device 711b and the sample, and is used to filter light spectrum or other light except fluorescence. When the excitation light filter layer 711h is used to filter other light except fluorescence, the excitation filter layer comprises four groups: ultraviolet light, violet light, blue light and green light.

[0207] The detection chip body 711 further comprises a second chamber cover 711g, which is arranged on one side of the second microfluid channel 716 and is used to seal the second microfluid channel 716. The first chamber cover 711f and the second chamber cover 711g seal the entire detection chip body 711. The second chamber cover 711g supports and contains each detection device as a support main body, and the first chamber cover 711f covers the second chamber cover 711g as a cover plate 624c. The first chamber cover 711f and the second chamber cover 711g are detachably connected, specifically, the first chamber cover 711f and the second chamber cover 711g are connected by clamping, bonding or sliding. When the first chamber cover 711f is detached, the internal structure of the microfluidic detection chip 710 can be viewed, which is convenient for cleaning, maintenance or replacement of internal components.

[0208] Further, the sample detection chamber 713 is formed between the first chamber cover 711f and the device chamber, and is used to store the sample to be detected. The sample detection chamber 713 is located at a position corresponding to the position of the device chamber, and the upper and lower bottom surfaces of the sample detection chamber 713 also have shapes and areas adapted to the cross-sectional shape and area of the device chamber, so as to facilitate detection of the sample. Specifically, in this embodiment, the sample detection chamber 713 has the same shape and area as the device chamber. The light source of the sample detection chamber 713 can completely irradiate the sample in the sample storage chamber, and can fully utilize the light source, thereby improving the detection efficiency.

[0209] The optical information acquisition assembly 741 comprises an image information acquisition unit and / or a spectral information acquisition unit. The image information acquisition unit is used to acquire sample image information, and the spectral information acquisition unit is used to acquire sample spectral information. The type of the spectral information acquisition unit is not limited, as long as it can receive spectral information of the sample. In this embodiment, preferably, the spectral information acquisition unit comprises a light fiber and a micro spectrometer. The light fiber receives light path in a confocal manner, i.e., the receiving surface and the object surface are conjugate surfaces, so as to realize point spectral reception. One end of the receiving light fiber is connected to the light path of the microfluidic detection chip, and the other end is connected to the micro spectrometer, so as to obtain spectral information in a micro area of the object.

[0210] The image information acquisition unit comprises at least one of a fluorescence information acquisition module, a microscopic image information acquisition module 730 and an infrared information acquisition module. The microscopic image information acquisition module 730 is used to acquire microscopic image information of the sample, as described above. The fluorescence information acquisition module and the infrared information acquisition module can acquire fluorescence image information and infrared image information of the sample. The types of the fluorescence information acquisition module and the infrared information acquisition module are not limited, as long as they can acquire sample image information. Preferably, in the embodiment, the fluorescence information acquisition module and the infrared information acquisition module can be CCD / CMOS integrated components. The CCD integrated component can convert light into electric charge, store and transfer the electric charge, and also can take out the stored electric charge to cause voltage change, so it is an ideal imaging element. The CCD integrated component has the advantages of small size, light weight, no influence of magnetic field, resistance to vibration and impact, etc. CMOS is a complementary metal oxide semiconductor. COMS has N negative electricity and P positive electricity level semiconductor. The current generated by the two complementary effects is interpreted into a picture displayed on the chip. The CMOS integrated component has low cost and saves power.

[0211] The optical information acquisition assembly 741 comprises a light emitting device, which comprises different waveband light sources, ultraviolet, infrared and visible light, to provide a light source environment for sample detection. The light emitting device in the present embodiment comprises the light emitting device in the aforementioned microfluidic detection chip, and the light emitting device in the microfluidic detection chip and the sample detection chamber are located in the microfluidic detection chip to provide an internal light source environment for sample detection. The light emitting device in the present embodiment also provides an external light source environment for sample detection. The sample detection chamber is used for auxiliary detection of the sample. When the side wall is transparent and the upper cavity wall or the lower cavity wall is also transparent, the sample is introduced into the inside of the detection chamber, and the external light source can pass through the side wall, the transparent upper cavity wall or the lower cavity wall to enter the sample detection chamber 713 without passing through the microfluidic detection chip 710. The light is reflected out of the sample detection chamber 713 through the transparent upper cavity wall or the lower cavity wall. Accordingly, an external light source environment can be provided for sample detection. The present embodiment is applicable when the microfluidic detection chip 710 does not have or cannot work normally.

[0212] The optical information acquisition module comprises the aforementioned microscopic image acquisition module 720, and further comprises a fluorescence image acquisition module and a spectral information acquisition module. It can be applied to urine detection. The urine sample is introduced into the sample detection chamber of the microfluidic detection chip, and the optical information acquisition module can acquire microscopic images, fluorescence images and spectral information of the urine sample. The optical information acquisition module is not limited to application in the field of urine detection, but can also be applied to other human biochemical indicator detection fields. Preferably, the sample types also include human body fluids such as serum (plasma), urine, saliva, etc., human tissues such as epithelial tissue, and mixtures of feces and liquid, etc.

[0213] The embodiment provides an optical sample detection device, which comprises the microfluidic detection chip and an optical information acquisition module.

[0214] Embodiment 11

[0215] Please refer to Figure 21 、 Figure 23 、 Figure 24 and Figure 3 The embodiment of the present application discloses a urine detection module arranged on a smart toilet and used for detecting urine. The urine detection module comprises a chemical urine detection module and the optical urine detection module. The chemical urine detection module detects chemical components in the urine to determine various inorganic substances and organic substances in the urine and performs auxiliary diagnosis and curative effect observation on diseases of the urinary system, diseases of the liver and gallbladder, diabetes and the like, monitors safe medication and evaluates health status. The optical urine detection module acquires an image of a urine sample, sends the acquired image to a designated analysis unit for analysis or uploads the image to a controller of the smart toilet. The controller controls an analysis assembly to analyze the image acquired by the optical urine detection module and outputs an analysis result of the urine sample. The physical condition of a user is determined according to the analysis result.

[0216] The optical urine detection module comprises a microscopic image acquisition module 720, a fluorescent image acquisition module and a spectral information acquisition module. The microscopic image acquisition module 720 adopts a microscope to check the shape and quantity of cells, casts and salt crystal pairs in the urine. Normal urine generally has no red blood cells, white blood cells and epithelial cells, and no casts. An increase in these components reflects pathological changes in the urinary system. Accordingly, the physical condition of the user can be analyzed. The fluorescent image acquisition module adopts a fluorescence method to acquire fluorescent information of the urine sample and directly projects the acquired fluorescent information onto the optical information acquisition assembly 741. Accordingly, the optical information acquisition assembly 741 acquires the fluorescent information of the urine sample. The spectral information acquisition module can realize real-time acquisition of the image of the urine sample while detecting the spectrum of the urine sample. The spectrum can generate a signal related to an observation position, such as the counting rate of a transmitted photon, the total or specific peak photoelectron yield, the fluorescence yield and the like. These signals can give various information such as element, chemistry, magnetism and the like. According to the spectral information, the physical condition of the user can be analyzed.

[0217] Embodiment 12

[0218] Please refer to Figures 28 to 31The embodiment of the present application discloses an electrochemical detection chip 760 which is plugged on a body fluid electrochemical detection module 770 and is used for electrochemical detection of urine. The electrochemical detection chip 760 comprises an insulating substrate 761 and a plurality of chip electrodes 762. The plurality of chip electrodes 762 can be one or multiple. When the chip electrode 762 is one, urine is dropped on the chip electrode 762. When the chip electrode 762 is multiple, the plurality of chip electrodes 762 are arranged on the insulating substrate 761 at a predetermined interval. The plurality of chip electrodes 762 form a reaction part 762a and a conductive part 762b on the insulating substrate 761. Urine makes the plurality of chip electrodes 762 conductive on the reaction part 762a to generate a plurality of electrical signals which are transmitted to the conductive part 762b for detection. The electrochemical index of urine is detected through the plurality of electrical signals. The related conditions of urine are judged by vision without manual operation. The detected urine data is more accurate. The reaction part is used for chemical reaction with urine. The conductive part is used for forming an electric circuit. The conductive part is not necessarily the electrode itself but can be a connecting conductor as long as it can transmit electrical signals.

[0219] In order to facilitate understanding of the structure of the electrochemical detection chip 760, the insulating substrate 761 and the plurality of chip electrodes 762 will be described respectively as follows:

[0220] Please refer to Figures 28 to 31 The chip electrode 762 is at least two. Urine has conductivity. When urine is dropped on the at least two chip electrodes 762, the urine connects the at least two chip electrodes 762. Preferably, taking two chip electrodes 762 as an example, urine connects the two chip electrodes 762. The two chip electrodes 762 are respectively positive and negative. The conductive parts 762b of the two chip electrodes 762 are connected with the body fluid electrochemical detection module 770. An electric circuit is formed between the two chip electrodes 762. The electrical signals on the electric circuit can be detected. When urine connects multiple chip electrodes 762, an electric circuit is formed between each adjacent two chip electrodes 762. By detecting the electrical signals on the multiple electric circuits, multiple sets of data can be compared. The detected result will be more accurate.

[0221] Further, the chip electrode 762 is a patch chip electrode 762. The patch chip electrode 762 has low cost and is easy to install. It only needs to be pasted on the insulating substrate 761. Moreover, the pasted chip electrode 762 is not easy to fall off. Further, when the patch chip electrode 762 is multiple, each patch chip electrode 762 has consistent structure and should be pasted at a predetermined interval, preferably at equal intervals, so as to ensure that the basic parameters of each electric circuit are consistent and the detection error can be reduced.

[0222] Further, the insulating substrate 761 is made of insulating material, and the chip electrode 762 needs to form an electric circuit and needs to exclude the interference of other non-insulating factors, therefore, the insulating substrate 761 needs to be an insulator, and meanwhile, the insulating substrate 761 as an insulator will not affect the relevant data information of the electric circuit, and the detected result will be more accurate.

[0223] Further, the electrochemical indexes include one or more of urine specific gravity, urine PH value, urine protein, uric acid, urine potassium, urine sodium, urine calcium, urine phosphorus, urine sugar, and urine chloride, which can be detected and analyzed by electric signal. Different detection materials are arranged on the chip electrode, and different detection materials can detect the above different indexes, and the detection principle is prior art, which will not be described here. The chip electrode on the reaction part itself includes a detection material or a reaction layer, and the detection material is arranged on the reaction layer. The above different electrochemical indexes can be detected by the above detection materials. The urine specific gravity and the urine PH value can be directly detected by the chip electrode itself, without the need to set a reaction layer or a detection material.

[0224] Please refer to Figures 28 to 31 The reaction part 762a and the conductive part 762b are located on the same side of the insulating substrate 761 or are oppositely arranged on both sides of the insulating substrate. When the reaction part and the conductive part are oppositely arranged on both sides of the insulating substrate, the chip electrode 762 is wrapped around the edge of the insulating substrate 761 from one side to the other side or the chip electrode 762 extends from one side of the insulating substrate 761 through the inside of the insulating substrate 761 to the other side of the insulating substrate 761. In this way, the urine flowing into the conductive part 762b can be avoided, which can cause a short circuit of the electric circuit and cannot achieve the purpose of detection. Further, the chip electrode 762 can wrap around the long side of the insulating substrate 761 or wrap around the short side of the insulating substrate 761. In the embodiment, it is preferred that the chip electrode 762 wraps around the short side of the insulating substrate 761, and the chip electrode 762 can be laid along the length direction of the insulating substrate 761, the laying distance is longer, the reaction part 762a and the conductive part 762b are farther apart, which can effectively avoid the urine in the reaction part 762a from flowing into the conductive part 762b, thereby making the detection result of the embodiment more accurate.

[0225] Please refer to Figure 31 In an embodiment, the insulating substrate 761 is provided with an isolation structure for protecting the reaction part 762a and the conductive part 762b.

[0226] Specifically, the isolation structure includes a first isolation piece 761a for isolating the reaction part 762a and the conductive part 762b of the substrate from the communication with the outside. The first isolation piece 761a matches the body fluid electrochemical detection module 770, which can effectively avoid the internal liquid from overflowing to the outside, and the sealed space is more conducive to cleaning the detection module.

[0227] The isolation structure further comprises a second isolation piece 761b for isolating the reaction portion 762a from the conductive portion 762b. In this case, the height of the reaction portion 762a should be lower than the height of the conductive portion 762b, and the urine dropped into the reaction portion 762a will not enter the conductive portion 762b, which can effectively prevent the urine from contaminating the conductive portion 762b. Further, the second isolation piece 761b is a concave structure, and the urine flowing into the reaction portion 762a is collected in the second isolation piece 761b, and the chip electrode 762 in the second isolation piece 761b is connected, and the urine will not penetrate into the conductive portion 762b. Further, each chip electrode 762 comprises a chip electrode bending portion which is adapted to the side wall of the reaction portion 762a, so that the chip electrode 762 can be continuously and uninterruptedly arranged on the reaction portion 762a and the conductive portion 762b. Further, the reaction portion 762a is provided with a reaction portion liquid outlet 762c which extends out of the edge of the insulating substrate 761 from the second isolation piece 761b, and the liquid in the reaction portion 762a can flow out from the reaction portion 762a to the bottom of the reaction cavity 771c of the detection module through the reaction portion liquid outlet 762c, and the liquid will not overflow to the conductive portion 762b, which can effectively protect the conductive portion 762b.

[0228] Embodiment 13

[0229] See Figures 32 to 39 The application discloses a body fluid electrochemical detection module 770 for detecting human urine, which is not limited to be applied in the field of urine detection, and can also be applied in other fields of human biochemical index detection. Preferably, the sample types further include human body fluids such as serum (plasma), urine, saliva and the like, human tissues such as epithelial tissues, and mixtures of feces and liquid. The body fluid electrochemical detection module 770 comprises a detection module body 771, an electrochemical sample inlet 772 and a plurality of connecting electrodes 773. The detection module body 771 comprises a reaction area 771a and a connecting area 771b. The plurality of connecting electrodes 773 are arranged on the connecting area 771b at a predetermined interval. The plurality of connecting electrodes 773 are used for forming an electrochemical reaction loop. The plurality of connecting electrodes 773 can be one or more. When the connecting electrode 773 is one, urine is dropped on the chip electrode 762, the chip electrode 762 is connected with the connecting electrode 773 and forms an electric loop. When the connecting electrode 773 is more than one, the plurality of connecting electrodes 773 are arranged on the connecting area 771b at a predetermined interval. Liquid including urine enters the reaction area 771a and will be subjected to electrochemical reaction. The plurality of connecting electrodes 773 can detect a plurality of data of the urine, and the accuracy of urine detection can be improved.

[0230] For the convenience of understanding the structure of the body fluid electrochemical detection module 770, the components of the detection module will be described as follows:

[0231] Please refer to Figures 32 to 35 The detection module further comprises an electrochemical sample outlet 774 for the outflow of the liquid. When the liquid is urine, the waste liquid after detection flows from the electrochemical sample outlet 774 to the waste liquid pool, and when the liquid is cleaning liquid, the cleaned cleaning liquid also flows from the electrochemical sample outlet 774 to the waste liquid pool. Further, the detection module further comprises a sample outlet pipeline 776, and the electrochemical sample outlet 774 is arranged at one end of the sample inlet pipeline 775, and the other end of the sample inlet pipeline 775 is arranged in the reaction area 771a. The liquid from the sample inlet pipeline 775 is discharged from the detection module body 771 through the electrochemical sample outlet 774 through the sample outlet pipeline 776.

[0232] The body fluid electrochemical detection module 770 further comprises a sample inlet pipeline 775, and the liquid enters the reaction area 771a through the electrochemical sample inlet 772 through the sample inlet pipeline 775. The liquid flowing into the sample inlet pipeline 775 includes a mixture of urine and reagent, and a micro-flow pump is arranged on the sample inlet pipeline 775 to realize quantitative acquisition of the liquid sample.

[0233] Further, the sample inlet pipeline 775 comprises a sample inlet pipeline liquid outlet 775b, and the sample inlet pipeline liquid outlet 775b is opposite to the reaction area 771a. The liquid flowing from the sample inlet pipeline 775 to the reaction area 771a will be uniformly diffused, and the measured data will be more accurate. The sample inlet pipeline 775 further comprises a sample inlet pipeline body 775a, and the sample inlet pipeline body 775a is arranged along the length direction of the detection module. The sample inlet pipeline 775 further comprises a bending part 775c, and the sample inlet pipeline liquid outlet 775b is arranged at the end of the bending part 775c. The first end of the bending part 775c is connected with the sample inlet pipeline body 775a, and the bending angle of the bending part 775c is 90°, so that the second liquid outlet of the parallelly arranged sample inlet pipeline 775 is opposite to the reaction area 771a.

[0234] Further, the sample inlet pipeline 775 is integrated in the detection module body 771, and the sample inlet pipeline 775 can be integrated in the side wall, top wall or inside of the module body, which can support the sample inlet pipeline 775 and prevent the sample inlet pipeline 775 from sliding and causing the sample inlet pipeline liquid outlet 775b to be dislocated.

[0235] Please refer to Figures 34 to 39Further, the reaction area 771a includes a reaction cavity 771c, and the sample outlet pipeline 776 is connected to the reaction cavity 771c. The reaction cavity 771c is used to contain liquid, and specifically, is used to contain the sample to be detected and waste liquid. The sample outlet pipeline 776 is used to discharge the waste liquid from the detection module body 771. The reaction part 762a of the detection chip is located in the reaction cavity 771c. The reaction part 762a can only contain a small amount of liquid flowing in from the sample inlet pipeline 775. The excess liquid will flow into the bottom of the reaction cavity 771c and become waste liquid.

[0236] The reaction cavity 771c includes a cavity 771d and a sealing structure 771e. The sealing structure 771e is used to seal the cavity 771d, so that the reaction cavity 771c becomes a sealed cavity 771d. After the liquid flows into the reaction cavity 771c, it directly flows out of the sample outlet pipeline 776 and does not accumulate or overflow the reaction cavity 771c. The liquid does not remain in the detection module body 771. Further, the sealing structure 771e is provided with a sample inlet pipeline mounting hole 711g. The sample inlet pipeline 775 is connected to the reaction cavity 771c through the sample inlet pipeline mounting hole 711g. The sample inlet pipeline 775 is in sealed connection with the sealing structure 771e through the sample inlet pipeline mounting hole 711g.

[0237] Further, please refer to Figures 35 to 36 The bottom of the reaction cavity 771c is provided with a liquid collecting groove 771f. The liquid collecting groove 771f is connected to the sample outlet pipeline 776. The liquid collecting groove 771f is used to collect the liquid in the reaction area 771a into the sample outlet pipeline 776. The lowest height of the liquid collecting groove 771f is not lower than the lowest height of the sample outlet pipeline 776. The sidewall of the liquid collecting groove 771f is arc-shaped or inclined. The width of the bottom of the liquid collecting groove 771f is smaller than the height of the top. The liquid in the reaction area 771a can flow along the sidewall of the liquid collecting groove 771f to the bottom of the liquid collecting groove 771f, and then flow into the sample outlet pipeline 776 from the bottom.

[0238] The liquid is a urine sample or a cleaning liquid. When the liquid is a urine sample, the urine sample flows into the reaction part 762a of the detection chip from the sample inlet pipeline 775 and forms an electrical circuit. The detection module detects the parameters of the urine sample through the electrical circuit. The excess urine flows into the reaction cavity 771c from the reaction part 762a. The waste liquid in the reaction cavity 771c is collected in the liquid collecting groove 771f and flows into the sample outlet pipeline 776, and finally flows out of the detection module. When the liquid is a cleaning liquid, the liquid cleans the detection module. The cleaning liquid flows into the reaction area 771a from the sample inlet pipeline 775 to clean the reaction part 762a of the detection chip. The excess cleaning liquid and the waste liquid after cleaning flow into the reaction cavity 771c to clean the sidewall of the cavity 771d and the liquid collecting groove 771f. The waste liquid after cleaning flows out of the detection module from the sample outlet pipeline 776.

[0239] Embodiment 14

[0240] Referring to Figure 38 and Figure 39 The application discloses an electrochemical body fluid detection device 750, which comprises an electrochemical detection chip 760 and a body fluid electrochemical detection module 770. The detection module comprises a connecting area 771b and a reaction area 771a. The detection chip comprises a reaction part 762a, a conductive part 762b and an isolation structure. The connecting area 771b corresponds to the conductive part 762b, and the reaction area 771a corresponds to the reaction part 762a. The conductive part 762b is detachably inserted into the connecting area 771b. In the reaction area 771a, urine flows into the reaction part 762a, and an electric circuit is formed on the detection module. The conductivity of the urine is calculated by detecting the current value on the electric circuit. The detection environment of the application is relatively wide. When it is necessary to detect data of multiple urine samples, the detection module can be quickly and conveniently plugged and unplugged to replace the type of the detection module. Different types of detection modules have different electrodes. Different electrodes form different electric circuits. The current values on different electric circuits are different. The conductivity measured finally is also different. Accordingly, the reference value of the to-be-detected substance input in advance can be compared and analyzed, so that different urine sample data can be obtained. In addition, the urine sample data is analyzed by detecting the conductivity, and the detection result obtained is more accurate. Meanwhile, the detection module can be repeatedly used, so that the detection cost can be reduced. Meanwhile, the isolation structure can effectively protect the reaction part 762a and the conductive part 762b.

[0241] Further, the detection module comprises a sealing structure 771e, which is used to seal the reaction part 762a and the reaction area 771a in cooperation with the isolation structure. After the sealing structure 771e seals the reaction part 762a and the reaction area 771a, the reaction part 762a and the reaction area 771a can be cleaned.

[0242] Further, the connecting electrode 773 of the connecting area 771b is arranged in correspondence with the chip electrode 762 of the conductive part 762b, and the reaction area 771a is arranged in correspondence with the reaction part 762a.

[0243] Embodiment 15

[0244] Referring to Figure 40The embodiment of the present application discloses a human biochemical index rapid detection system, the human biochemical index rapid detection system includes a sampling device, a sample inlet device and a detection device, the sampling device collects the sample required for detecting the human biochemical index, the sample inlet device is used for transmitting the collected sample to a specified position for detection, and the detection device is used for detecting the sample and acquiring human biochemical index information, and the detection device at least includes an optical detection module and a chemical detection module, the sample inlet device delivers the sample to the optical detection module and the chemical detection module respectively, the optical detection module can detect optical information of the sample, and the chemical detection module can detect chemical information of the sample, so that the human biochemical index information can be more comprehensively detected in combination with the optical information and the chemical information of the sample, and the detected index information is more accurate.

[0245] Preferably, the sample types that can be detected by the human biochemical index rapid detection system mainly include human body fluids such as serum (plasma), urine, saliva and the like, and human tissues such as epithelial tissues.

[0246] Preferably, in the embodiment, the body fluid is preferably urine, and the sampling device includes the aforementioned urine sampler and urine sampling head, which are used for sampling the urine sample.

[0247] Preferably, the sample inlet device includes a urine transmission pipeline, and the urine transmission pipeline transmits the urine sample collected by the urine sampler to the detection device for urine detection.

[0248] Preferably, the optical detection module includes the aforementioned optical urine detection module, which can detect the optical information of the urine sample, and the chemical detection module includes the aforementioned chemical urine detection module, which can detect the chemical information of the urine sample.

[0249] Preferably, the optical detection module includes a microscopic detection module for collecting a microscopic image of the sample. The microscopic detection module includes the aforementioned microscopic image acquisition module, which is used for adopting the urine detection method based on the microscopic image of the urine sample to be described later for urine detection.

[0250] Preferably, the optical detection module includes a fluorescence detection module for collecting an image of the sample after being excited by fluorescence. The fluorescence detection module includes the aforementioned fluorescence image acquisition module, which is used for adopting the urine component detection method based on the fluorescence reagent to be described later for urine detection according to the image of the urine sample after being excited by fluorescence.

[0251] Preferably, the optical detection module includes a spectral detection module for detecting spectral information of the sample. The spectral detection module includes the aforementioned spectral information acquisition module, which is used for adopting the spectral detection method of the urine component to be described later for urine detection according to the detected spectral information of the urine sample.

[0252] Preferably, the chemical detection module comprises an electrochemical detection module for detecting the electrical signal change information of the sample.

[0253] Preferably, the sample feeding device comprises a micro flow pump for temporarily storing the sample and quantitatively conveying the sample.

[0254] Preferably, the system further comprises a cleaning device for cleaning the human biochemical index rapid detection system. In an embodiment, the system itself can serve as a cleaning system, such as introducing a cleaning liquid into the urine electrochemical detection module, and after cleaning, the cleaning liquid becomes waste liquid and flows out of the urine electrochemical detection module.

[0255] Preferably, the system further comprises a driving device for driving the human biochemical index rapid detection system to work. The driving device can be a stepper motor for driving the operation of each component of the human biochemical index rapid detection system.

[0256] Preferably, the system further comprises a control device for controlling the human biochemical index rapid detection system. The control device can be a central processing unit for controlling the sampling device to sample, controlling the sample feeding device to transmit the collected sample to the detection device for detection, and controlling the detection device to detect.

[0257] Embodiment 16

[0258] See Figures 41 to 43 The embodiment of the present application discloses a urine detection method based on microscopic images, comprising:

[0259] S100, injecting urine into a sample detection chamber;

[0260] The sample detection chamber is located in the micro flow detection chip, and its position is fixed during the detection process. The position between the sample detection chamber and the microscope body and the microscopic optical information acquisition assembly is relatively fixed. The urine can be directly injected into the sample detection chamber. After the urine enters the sample detection chamber, it waits to be detected. Manual adjustment of the placement position of the urine sample is not required, and the detection process is simple.

[0261] S110, controlling the background light source to transmit light through the cavity wall of the sample detection chamber into the sample detection chamber;

[0262] The sample detection chamber comprises an upper chamber wall, a lower chamber wall and a side wall. When the side wall is transparent, the upper chamber wall or the lower chamber wall is also transparent. The sample is introduced into the inside of the sample detection chamber. An external background light source can pass through the side wall, the transparent upper chamber wall or the lower chamber wall to enter the sample detection chamber. Light is reflected out of the sample detection chamber through the transparent upper chamber wall or the lower chamber wall. Accordingly, a light source environment can be provided for sample detection. When the upper chamber wall and the lower chamber wall are transparent, light provided by the light source can penetrate the upper chamber wall and the lower chamber wall from one side of the upper chamber wall or the lower chamber wall to provide a light environment for sample detection. The background light source provided in this step can meet the needs of different detection environments.

[0263] S120, collect microscopic image information of the urine through the sample detection chamber;

[0264] The microscopic optical information collection assembly of the embodiment is arranged on one side of the microscope body and can collect microscopic image information from the microscope body. The microscopic optical information collection assembly can save the collected microscopic image information of the urine sample and transfer the image information to the detection unit for detection, so that the detection accuracy is higher. In addition, the image information can also be called for secondary verification to avoid detection errors.

[0265] S130, acquire a microscopic image of the urine sample;

[0266] The microscopic optical information collection assembly is used to take a microscopic image of the urine, and the taken microscopic image is saved and sent to the control system for analysis and processing of the microscopic image of the urine.

[0267] S140, preliminarily classify the urinary sediment by using a neural network algorithm;

[0268] In this step, the type of the neural network algorithm is not limited. At least one of a convolutional neural network (CNN), a recurrent neural network (RNN) and a generative adversarial network (GAN) can be selected. Preferably, in the embodiment, the application uses a convolutional neural network (CNN). Urinary sediment is a shaped component in urine. It is a sediment formed after centrifugation of urine. It is also a combination of quality and quantity of shaped components in urine. Urinary sediment includes cells, casts, crystals, bacteria, sperm and various shaped components. To detect urine, the content of each component in the urine needs to be determined. Therefore, the urinary sediment needs to be preliminarily classified.

[0269] S141, preliminarily classify each urinary sediment according to casts, cells, crystals, bacteria and sperm;

[0270] The network structure of the CNN includes a convolution layer, a sampling layer and a full connection layer, and each layer is usually filled with multiple independent neurons, which are connected together to form a two-dimensional plane, so that the CNN has good performance in identifying two-dimensional shapes. This new form of network structure can remain unchanged when the image to be identified is scaled, translated or tilted, and has strong adaptability to image deformation. In the supervised mode, because a large number of training samples are needed and a connection between the training samples and the test samples is established, the CNN adopts a supervised training mode.

[0271] The CNN is used to preliminarily classify each urine sediment according to cast, cell, crystal, bacteria and sperm, and the convolution and sampling process mainly includes feature extraction, feature mapping and subsampling:

[0272] S142, counting the bacteria and sperm respectively;

[0273] The bacteria and sperm are counted, the number of bacteria reflects the infection of the urinary tract, and the more the bacteria, the more serious the urinary tract infection; the number of sperm reflects the health status of the human reproductive system.

[0274] S150, identifying and calculating the morphological parameters and gray scale statistical parameters of each type of urine sediment through image processing of the preliminarily classified urine sediment;

[0275] In this step, the morphological parameters and gray scale statistical parameters reflect the image features of each type of urine sediment, and by calculating the morphological parameters and gray scale statistical parameters of each type of urine sediment, the type of each type of urine sediment can be determined.

[0276] See Figure 43 , this step S150 includes:

[0277] S151, image denoising processing is performed on the preliminarily classified urine sediment image;

[0278] The noise and other irrelevant information of the urine sediment image are removed, the contrast is increased, the image quality is improved, and the foreground and background of the urine sediment image are clearly separated. The denoising method is not limited here, which can be Gaussian low-pass filtering, bilateral filtering denoising, non-local mean denoising, kernel regression for image denoising, etc. Preferably, in this embodiment, a Gaussian filter is used for denoising. The Gaussian filter is a linear filter that can effectively suppress noise and smooth the image.

[0279] A two-dimensional Gaussian function is as follows:

[0280]

[0281] Where (x, y) is the point coordinates, which can be considered as integers in image processing; σ is the standard deviation. To get a Gaussian filter template, the Gaussian function can be discretized, and the obtained Gaussian function values are used as the coefficients of the template, which is then applied to the image for image processing.

[0282] S152, performing image enhancement processing on the urine sediment image after the image denoising processing;

[0283] The image enhancement processing can correct the influence of uneven illumination on the urine sediment image.

[0284] The top-hat transformation of a grayscale image f is defined as f minus its opening operation:

[0285]

[0286] The bottom-hat transformation of a grayscale image f is defined as the closing operation of f minus f:

[0287] B hat (f) = (f·b) - f

[0288] (f°b) represents the opening operation of the result element on the target image, and (f·b) represents the closing operation on the target element.

[0289] Therefore, the top-hat-bottom-hat transformation is:

[0290] TB hat = f + T hat -B hat

[0291] S153, performing image segmentation processing on the urine sediment image after the image enhancement processing;

[0292] This step uses an image edge algorithm for image segmentation processing, but the processing method is not limited to the image edge algorithm, and can also be a majority of image segmentation algorithms, image threshold segmentation algorithms, region-based segmentation algorithms, morphological watershed algorithms, etc. The edge is a collection of pixels with a sudden change in grayscale in the image, which is generally detected by differentiation. Edge detection algorithms include Roberts operator, Prewitt operator, Sobel operator, Marr-Hilderth edge detection algorithm, Canny edge detection algorithm, etc. In this step, the Canny edge detection algorithm is selected.

[0293] a) Calculate the gradient intensity and direction of each pixel point in the image.

[0294] In the image, the gradient is used to represent the degree and direction of change of the grayscale value. It can obtain gradient values in different directions by point multiplication with a Sobel or other operator: g x (m, n), g y(m, n), the gradient value and the gradient direction are calculated by the following formula:

[0295]

[0296] where (m, n) is the point coordinate, which can be considered as an integer in image processing.

[0297] b) Non-Maximum Suppression is applied to eliminate the stray response caused by edge detection. The width of the edge is made as 1 pixel as much as possible: if a pixel belongs to the edge, the gradient value in the gradient direction of the pixel is the largest. Otherwise, it is not an edge, and the gray value is set to 0.

[0298]

[0299] c) Double-Threshold detection is applied to determine the real and potential edges. Two thresholds, maxVal and minVal, are set. The values greater than maxVal are detected as edges, and the values lower than minVal are detected as non-edges. For the intermediate pixels, if they are adjacent to the pixels determined as edges, they are determined as edges; otherwise, they are determined as non-edges.

[0300] d) The edge detection is finally completed by suppressing isolated weak edges.

[0301] S154, shape features of each type of urinary sediment are identified;

[0302] S155, morphological parameters and gray scale statistical parameters of each type of urinary sediment are calculated.

[0303] The morphological parameters are calculated on the basis of the binary image after the microscope shooting, and are mainly used to obtain the morphological information as 5 groups of feature values. The morphological parameters include: area S, perimeter L, circularity C, rectangularity R, and contour fitting error.

[0304] a) Area S

[0305] The area S is the number of pixels in the target region, and therefore is related to the boundary of the target.

[0306]

[0307]

[0308] where p and q are the maximum values in the horizontal direction and the vertical direction of the region respectively, and R is the target region.

[0309] b) Perimeter L

[0310] The perimeter L is the sum of all pixels on the boundary of the target region. Its mathematical expression is:

[0311]

[0312] where N represents the total number of pixels on the contour, and Ti represents the chain code number from the ith point to the next point on the contour of the cell in the counterclockwise direction.

[0313] c) Circularity C

[0314] The image circularity C represents the degree to which the shape of the target image approaches a circle, and is a comprehensive measure of the area shape represented by a parameter. Its mathematical expression is:

[0315]

[0316] When C is 1, it means that the shape of the target image is a circle. As the value of C increases, it means that the shape of the target image deviates more from a circle.

[0317] d) Rectangularity R

[0318] The image rectangularity R is the degree of deviation of the area of the contour of the target image from the product of the target height and width. Its mathematical expression is:

[0319]

[0320] where W represents the width of the circumscribed rectangle of the target image, and H represents the height of the circumscribed rectangle of the target image. When the target region is a rectangle, R = 1.

[0321] e) Fitting error:

[0322] The fitting error refers to the distance error between the points on the region contour and the corresponding points on the fitting curve. The fitting error can be represented by the average distance between the region boundary and the corresponding point pair on the fitting curve, and the calculation formula is as follows.

[0323]

[0324] where N is the number of pixel points on the contour, (x k ,y k ) represents a point on the contour, (u k ,y k ) is the point on the fitting curve corresponding to (x k ,y k ), and the symbol ‖‖ is used to calculate the distance between two points. Obviously, the smaller the fitting error, the better the fitting between the fitting curve and the target boundary, and the closer the cell is to a circle or an ellipse.

[0325] The gray scale statistical features are mainly calculated based on the gray scale histogram of the microscopic cell image, and the feature parameters extracted by the gray scale statistical features include: mean m, variance σ, third moment μ 3 and uniformity U.

[0326] wherein, L represents the gray scale of the gray scale image, z i represents a random gray value, p(z i ) represents a histogram of a region.

[0327] f) mean m

[0328] The mean m represents the average gray value of a certain target region of the image, and the mathematical expression is:

[0329]

[0330] g) variance σ

[0331] The variance σ represents the dispersion degree of the gray scale in a certain target region of the image, and the mathematical expression is:

[0332]

[0333] h) third moment μ 3

[0334] The third moment μ 3 reflects the symmetry of the gray scale histogram of the image, and the mathematical expression is:

[0335]

[0336] i) uniformity U

[0337] The uniformity U reflects the dispersion degree of the gray scale value distribution in a certain region, and the mathematical expression is:

[0338]

[0339] S160, according to the morphological parameters and the gray scale statistical parameters of various types of urinary sediment, the various types of urinary sediment are classified again by the machine learning algorithm with explainability;

[0340] The machine learning algorithm with explainability includes one of LightGBM classification algorithm, logistic regression algorithm, SVM algorithm, random forest algorithm, KNN algorithm and Bayesian algorithm. In the embodiment, the type of the classification algorithm is not limited, and preferably, the LightGBM classification algorithm is adopted.

[0341] Specifically, the step S7 includes:

[0342] S161, the target classification, the calculation of the shape parameter, and the calculation of the gray scale statistics are divided into a training set and a test set, the training set is used as an input variable to construct a LightGBM classification model, a grid search method is used to optimize the parameters of the LightGBM classification model, and an optimized LightGBM classification model is obtained.

[0343] S162, the test set is used to train the optimized LightGBM classification model, and a trained LightGBM classification model is obtained.

[0344] S163, the model output type is subdivided.

[0345] The secondary classification of each type of urinary sediment is a subdivision of casts, cells, and crystals.

[0346] Casts are an important component of urinary sediment, and the presence of cast urine suggests renal parenchymal damage, representing damage to the glomerulus or renal tubule.

[0347] Casts are divided into the following categories:

[0348] 1) transparent cast; 2) cell cast; 3) granular cast; 4) waxy cast; 5) fat cast; 6) mixed cast; 7) wide cast.

[0349] Cells are divided into the following categories:

[0350] 1) red blood cells; 2) white blood cells; 3) squamous epithelial cells; 4) non-squamous epithelial cells; 5) phagocytic cells; 6) heterophile cells.

[0351] Crystals are divided into the following categories:

[0352] 1) calcium oxalate crystals; 2) uric acid crystals; 3) phosphate crystals; 4) drug crystals.

[0353] S170, then count each urinary sediment after secondary classification, and obtain a counting result;

[0354] S180, obtain a urine test result according to the counting result of each urinary sediment.

[0355] Example 17

[0356] This embodiment discloses a urine component detection method based on a fluorescent reagent, please refer to Figure 44 and Figure 45 , comprising the following steps:

[0357] S200, injecting urine and fluorescent reagent into a sample detection chamber;

[0358] In this step, the urine can be injected first and then the fluorescent reagent, or the fluorescent reagent can be injected first and then the urine, or the urine and the fluorescent reagent can be mixed first and then the mixed solution of the urine and the fluorescent reagent is injected.

[0359] The sample detection chamber is fixed in the microfluidic detection chip during the detection process. The urine can be directly injected into the sample detection chamber. After the urine enters the sample detection chamber, it waits to be detected without manual adjustment of the placement position of the urine sample. The detection process is simple.

[0360] Before step S200, the following steps are further included:

[0361] S201, defoaming treatment is performed on the urine.

[0362] There are usually some bubbles in the urine. The existence of the bubbles will affect the sampling amount of the urine and the detection effect. Therefore, the defoaming treatment is needed.

[0363] In this embodiment, the defoaming treatment of the urine mainly adopts the sedimentation defoaming method. Of course, the defoaming method is not limited to this, and the defoaming methods such as the chemical defoaming method and the physical defoaming method can also be used.

[0364] S210, the fluorescent light source emits fluorescent reagent excitation light to the sample detection chamber, and excites the mixed solution of the urine and the fluorescent reagent to generate fluorescence;

[0365] The mixed solution of the urine and the fluorescent reagent contains fluorescent substances that can be excited to generate fluorescence. The fluorescent light source is irradiated on the fluorescent substances, and the mixed solution emits fluorescence.

[0366] Step S210 includes:

[0367] S211, the light emitted by the fluorescent light source is subjected to optical filtering treatment, and then the mixed solution of the urine and the fluorescent reagent is excited to generate fluorescence.

[0368] In step S211, the result of the optical filtering treatment is to leave only the fluorescent light source that can excite the fluorescent substances, so as to avoid the influence of other light sources on the excitation effect when exciting the fluorescent substances.

[0369] S220, the fluorescent image of the mixed solution excited by the fluorescent light source is collected through the sample detection chamber.

[0370] The sample detection chamber is partially transparent or fully transparent. The fluorescent image of the mixed solution can penetrate and radiate from the sample detection chamber.

[0371] The optical information collection assembly of the embodiment is arranged on one side of the sample detection chamber and can collect fluorescent image information from the sample detection chamber. The optical information collection assembly can save the collected fluorescent image information of the mixed solution and transfer the image information to the detection unit for detection, so that the detection accuracy is higher. In addition, the image information can also be called for secondary verification to avoid detection errors.

[0372] Before step S220, the following steps are further included:

[0373] S221, filtering the light transmitted through the sample detection chamber to leave the fluorescent light generated by the mixed solution.

[0374] Step S221 has a denoising effect. Although the fluorescent light source is filtered once to leave only the light source that can excite the fluorescent substance, the light source can generate light of different wavebands. Different wavebands of light can transmit through the sample detection chamber, but only the light within the specified range of wavebands can excite the fluorescent substance, and the light of the remaining wavebands will be emitted from the sample detection chamber together with the excited fluorescent light, which has a certain interference on the excited fluorescent light. In order to improve the detection effect, filtering treatment needs to be performed at this step.

[0375] Step S220 includes:

[0376] S222, filtering the ambient light on the fluorescent transmission path before collection.

[0377] In the foregoing steps S221 and S222, although the interference of the fluorescent light source itself is excluded, the interference of the external ambient light on urine detection cannot be excluded. Therefore, the ambient light on the fluorescent transmission path is filtered before the fluorescent image is collected. Accordingly, the collected fluorescent image is more accurate, and the final urine detection result is also more accurate.

[0378] After step S220, the following steps are further included:

[0379] S223, cleaning the detection device.

[0380] Urine has a certain odor, and if not treated, the odor will increase, affecting the air environment. In addition, if not cleaned, the residual urine will affect the next urine detection. The detection device involves all devices in the entire detection process, mainly involving cleaning the devices related to urine sampling, urine transmission, and urine detection. In the embodiment, the urine sampling device, the sampling micro-pump, the urine transmission pipeline, and the urine detection module are cleaned.

[0381] After step S220, the present application further includes the following steps:

[0382] S230, acquire the urine collection image of the urine sample added with the fluorescent reagent after fluorescence excitation;

[0383] S240, input the urine collection image into a preset neural network model;

[0384] To analyze the image data of the urine sample, the urine collection image of the urine sample after fluorescence excitation is taken as the input original image, and the input value is input into a preset neural network model. The neural network model includes Faster R-CNN, SSD, YOLO, etc. In the embodiment, the type used is not limited, and preferably, the Faster R-CNN model is selected for recognition in this step.

[0385] The Faster R-CNN model for recognition includes the following contents:

[0386] The method selects a relatively simple ResNet50 network to replace the VGG16 network used in the original network. Because the ResNet50 network uses the structure of residual blocks, it can effectively prevent the gradient vanishing problem caused by deepening the network layers. In addition, ResNet50 has a relatively short operation time in the ResNet series network, so it is finally selected as the network feature extractor. The size of the input network is set to 640x640, and the sub-image block size that does not meet 640 is filled with 0 to adjust the input size. After the image is input into the feature extraction layer, the ResNet50 network uses five stages composed of different numbers of convolutional layers, batch normalization layers, ReLU activation layers and maximum pooling layers for feature extraction. The residual block structure realized by short connection is used to provide learning of the residual. In order to intuitively explain the effect of the feature extraction layer, the feature maps output by the five feature layers of ResNet50 are visualized. The network structure of ResNet50 and the visualization effect of the feature maps C1-C5 represent the first feature layer to the fifth feature layer. Each feature layer is obtained by downsampling the data of the upper layer. Since the input size is fixed at 640x640, the sizes of C1-C5 are [320, 320], [160, 160], [80, 80], [40, 40], and [20, 20] in turn.

[0387] S250, weighting the occluded cell images in the urine collection image in each convolutional neural network of the neural network model;

[0388] In the urine collection image, occlusion may exist between cells, and the occluded cells are difficult to be discovered by the neural network model, so the urine collection image needs to be weighted.

[0389] Step S250 includes: S251, embedding an attention mechanism in each convolutional neural network.

[0390] To solve the problem of occlusion between cells, the attention mechanism is embedded in each layer of the convolutional neural network, and the occluded cells in each layer of the convolutional neural network are weighted to enhance the receptive field of the feature extraction layer of the convolutional neural network and improve the performance of the neural network model.

[0391] S260, the weighted urine collection image is subjected to a cell omission prevention recognition process:

[0392] The attention mechanism includes the following contents:

[0393] The urine collection image input into the convolutional neural network is first subjected to feature extraction after passing through the feature extraction layer of the convolutional neural network to obtain a feature map with a shape of HxWxC, wherein the size of the feature map is represented by HxW, and C is the number of channels.

[0394] Sequeeze: feature compression along the spatial dimension, each two-dimensional feature channel is changed into a real number, which has a global receptive field to some extent, and the output dimension matches the input feature channel number. It represents the global distribution of response on the feature channel, and also enables the layers close to the input to obtain a global receptive field. The specific operation is to perform a global average pooling layer processing on the original feature map C*W*H, and then obtain a feature map with a size of 1*1*C, which has a global receptive field.

[0395] Excitation: the output 1x1xC feature map is further subjected to two fully connected neural networks, and finally a mechanism similar to the gate in the recurrent neural network is used to generate weights for each feature channel through parameters.

[0396] Feature re-labeling: the result obtained by Excitation is used as a weight, which is then multiplied to the C channels of U to complete the re-labeling of the original feature in the channel dimension and serve as the input data of the next level.

[0397] Step S260 further includes: S261, feature fusion processing of cells of different sizes.

[0398] In the urine collection image, there is not only the problem of occlusion between cells, but also the problem of uneven size of fluorescent cells. Cells that are too small and occluded cells may be missed, so feature fusion processing of cells of different sizes is needed, mainly to identify the bounding boxes of each cell in the urine collection image.

[0399] This embodiment fuses the feature pyramid network FPN into the Faster R-CNN, increasing the detector's awareness of the full image information.

[0400] 1) First, the urine collection image is sent into the fused bottom network, and five stage feature maps are obtained through the network combined by ResNet50 and attention mechanism structure.

[0401] 2) C1-C5 layers are the feature layers obtained by the feature extraction network, and then 1x1 convolution is used to reduce the dimension of C4 layer, so that the feature channel number of C4 matches the feature channel number of P5; P5 is up-sampled to make the feature map size of P5 consistent with that of C4, and finally the two are added to obtain the fusion layer P4, and the other layers are similarly processed.

[0402] 3) Then, the RPN training is performed on the obtained P2-P6 layers (top down network, core of FPN) to obtain the region proposal, and then the same operation as the original Faster R-CNN is performed, that is, the classification layer and the regression layer are connected after 3x3 convolution. P2-P5 are used to predict the bounding box of the cell, and P6 is used in the RPN network.

[0403] S270, improving the recognition region proposal frame of the cell.

[0404] The feature map output by the FPN structure is input into the RPN network layer, and a certain number of prior boxes are generated according to the feature map in the form of sliding window. The original Faster R-CNN sets three kinds of prior boxes with aspect ratios of (1:2, 1:1, 2:1), and these three kinds of prior boxes can adapt to various shapes and sizes of objects in the COCO dataset. In order to make the model adapt to the characteristics of the cell, the initial aspect ratio of the generated prior box is adjusted to (1:2, 4:5, 1:1, 2:1). The initial size of the prior box is set to (16, 32, 64, 128, 256), and 20 kinds of prior boxes are generated for each point on the feature map, and a total of WxHx20 prior boxes are generated on the picture with size WxH. Then the prior boxes are classified by two categories, and the classification method is the threshold classification method based on IoU. The prior box with IoU greater than 0.8 with any real bounding box of the sugarcane seedling is classified as foreground; the prior box with IoU value less than 0.2 with all real bounding boxes is classified as background. The IoU calculation formula is as follows:

[0405]

[0406] Embodiment 18

[0407] See Figure 46The embodiment of the present application discloses a spectrum detection method of urine components, and the spectrum detection method of the present application includes at least one of Fourier infrared spectrum detection, Raman spectrum detection, fluorescence spectrum detection and ultraviolet spectrum detection.

[0408] The spectrum detection method includes:

[0409] S300, injecting urine into a sample detection chamber;

[0410] The sample detection chamber is located in the microfluidic detection chip, and its position is fixed during the detection process. The position between the sample detection chamber, the microscope body and the microscopic optical information acquisition assembly is relatively fixed. The urine can be directly injected into the sample detection chamber. After the urine enters the sample detection chamber, it waits to be detected. The placement position of the urine sample does not need to be adjusted manually, and the detection process is simple.

[0411] Before the step S300, the present application further includes:

[0412] S301, injecting a spectrum detection reagent into the sample detection chamber.

[0413] In this step, the spectrum detection reagent can be injected first, or the urine can be injected first, or the urine and the spectrum detection reagent can be mixed first, and then the mixed solution of the urine and the spectrum detection reagent is injected.

[0414] After the step S300, the present application further includes:

[0415] S302, adjusting the temperature of the urine in the sample detection chamber.

[0416] When the urine sample is detected, it is necessary to ensure that the urine sample is in a relatively suitable temperature environment. When the external environment of the urine sample is too cold or too hot, the temperature of the external environment will affect the temperature of the urine sample, and finally affect the detection effect of the urine. Therefore, it is necessary to adjust the temperature of the urine in the sample detection chamber.

[0417] S310, controlling the background light source to pass through the cavity wall of the sample detection chamber and enter the sample detection chamber.

[0418] The sample detection chamber includes an upper cavity wall, a lower cavity wall and a side wall. When the side wall is transparent, the upper cavity wall or the lower cavity wall is also transparent. The sample enters the inside of the detection chamber. The external background light source can pass through the side wall, the transparent upper cavity wall or the lower cavity wall and enter the sample detection chamber. The light is reflected out of the sample detection chamber through the transparent upper cavity wall or the lower cavity wall. Accordingly, a light source environment can be provided for sample detection. When the upper cavity wall and the lower cavity wall are transparent, the light provided by the light source can penetrate the upper cavity wall and the lower cavity wall from one side of the upper cavity wall or the lower cavity wall, thereby providing a light environment for sample detection. The background light source set in this step can adapt to the needs of different detection environments.

[0419] Before step S310, the present application further comprises:

[0420] S311, filtering the light of the background light source to obtain light in a preset waveband range.

[0421] Step S311 has a denoising effect. The background light source can generate light rays of different wavebands, but only the light rays in the preset waveband range can pass through the sample detection chamber to form spectral information. The light rays of the remaining wavebands have certain interference on the process of forming spectral information of the urine sample, and the light rays of the remaining wavebands will also be emitted from the sample detection chamber, which will also affect the optical information acquisition assembly in collecting spectral information of the urine sample. In order to improve the detection effect, the light filtering process needs to be performed at this step.

[0422] S320, collecting spectral information of the urine through the sample detection chamber.

[0423] The optical information acquisition assembly of the embodiment is arranged on one side of the sample detection chamber and can collect spectral information from the sample detection chamber. The optical information acquisition assembly can save the collected spectral information of the urine sample and transfer the spectral information to the detection unit for detection, so that the detection accuracy is higher. In addition, in order to avoid detection errors, the spectral information can also be called for secondary verification.

[0424] Before step S320, the present application further comprises:

[0425] S321, filtering the light after passing through the sample detection chamber.

[0426] In the foregoing step S311, although the interference of the background light source itself is excluded, the interference of the external environmental light on the urine detection cannot be excluded. Therefore, before the spectral information is collected, the environmental light on the transmission path of the spectral information is filtered. Accordingly, the collected spectral information is more accurate, and the final urine detection result is also more accurate.

[0427] S330, performing urine detection according to the collected spectral information of the urine.

[0428] Specifically, the intensities of the collected spectral information are different, and using all the spectral information for urine detection can result in inaccurate detection results. Therefore, some spectral information with appropriate intensity needs to be selected for detection, and the following steps are used to select the spectral information with appropriate intensity. It can be understood that in the aforementioned urine component detection method based on fluorescent reagents, the intensity of the fluorescence used to collect the fluorescence image is also large or small, and the fluorescence with different intensities can also result in inaccurate detection. Therefore, to further improve the results of fluorescence detection, the spectral detection method of urine components in this embodiment can be applied to the fluorescence detection of urine. At the same time, the aforementioned urine detection method based on microscopic images includes controlling the background light source to pass through the cavity wall of the sample detection chamber to enter the sample detection chamber and passing through the sample detection chamber to collect microscopic image information of the urine. During the collection of the microscopic image, the intensity of the background light source is different, and the collection of the microscopic image of the urine by the light source with different intensities can cause misjudgment. Therefore, to further improve the accuracy of the urine detection based on microscopic images, the spectral detection method of urine components in this embodiment can be applied to the microscopic detection of urine. In summary, the urine detection method based on microscopic images, the urine component detection method based on fluorescent reagents, and the spectral detection method of urine components have the same effect. To further improve the accuracy of urine detection, the detection methods of the three can be recombined, and the recombined urine detection method is within the protection scope of the present application. Moreover, the detection method of the present application is not only limited to the detection of urine, but also can be used for the detection of other human tissues and body fluids, and further, the detection method can be applied to various animals and plants in nature.

[0429] The S330 specifically includes the following steps:

[0430] S331, acquiring wavelength values of the spectral information, and arranging the spectral information with different wavelengths into a first sequence in a first preset manner, the first sequence including a first noise region and a first characteristic peak region;

[0431] The first preset manner includes a wavelength increasing manner or a wavelength decreasing manner, and the noise region and the characteristic peak region are both regions with higher spectral intensity in the spectral information sequence, and the maximum spectral intensity of the characteristic peak region is greater than that of the noise region.

[0432] S332, acquiring intensity values of the spectral information, and arranging the spectral information of the first sequence into a second sequence in a second preset manner;

[0433] The second preset manner includes an intensity increasing manner or an intensity decreasing manner.

[0434] S333, performing a smoothing filtering process on the spectral information of the second sequence;

[0435] S334, sorting the spectral information of the second sequence after the smoothing filtering processing in a third preset manner and defining as a third sequence, the third sequence including a second noise region and a second characteristic peak region;

[0436] The third preset manner includes a wavelength increasing manner or a wavelength decreasing manner, and the spectral information suitable for urine detection is located in the second characteristic peak region.

[0437] S335, obtaining a first number of target spectral information corresponding to the second characteristic peak region of the third sequence;

[0438] S336, performing urine detection according to the first number of target spectral information.

[0439] The spectral information suitable for urine detection is located in the characteristic peak region. However, due to the existence of the noise region, the identification of the characteristic peak region is interfered, and therefore, the spectrum needs to be preprocessed, that is, the spectrum is subjected to smoothing filtering processing, so that the characteristic peak region is highlighted in the spectral information sequence. The essence of the smoothing filtering processing of the spectrum is to improve the signal fidelity of the spectral information in the characteristic peak region and improve the signal-to-noise ratio of the noise region.

[0440] The step S333 specifically includes:

[0441] S3331, continuously obtaining a second preset number of spectral information in the second sequence in a decreasing intensity manner;

[0442] S3323, calculating a spectral noise level according to the second preset number of spectral information, mainly including:

[0443] calculating an average intensity value and a standard deviation intensity value of the second preset number of spectral information,

[0444] calculating the spectral noise level according to the average intensity value and the standard deviation intensity value;

[0445] S3324, calculating a filtering window width according to the spectral noise level;

[0446] S3325, performing smoothing filtering processing according to the filtering window width.

[0447] Specifically, in the second sequence, the spectral information with intensity in the first t% is selected and recorded as a noise sequence N, and the number of the spectral information in the first t% is the second preset number of spectral information. Then, the spectral intensity of each spectral information in the second preset number is obtained, and the average value N mean and the standard deviation N std of the spectral intensity of all the spectral information in the second preset number are calculated. The spectral noise level calculation manner and the filtering window width calculation manner are prior art, and are not described herein.

[0448] Finally, a Savitzky-Golay filter is selected for smoothing filtering processing, and the filtering processing manner is prior art, which is not described here. It can be understood that the filtering processing manner is not limited thereto, as long as the smoothing filtering can be realized.

[0449] Preferably, the step S336 comprises:

[0450] The first quantity of target spectral information is used for ranking detection or fuzzy detection or precise detection mainly based on ranking detection and supplemented by fuzzy detection.

[0451] In the embodiment, the first quantity of target spectral information is a certain quantity of spectral information obtained in the characteristic peak region. However, the spectral information in the characteristic peak region does not necessarily meet the requirements, and therefore, there may be abnormal information in the first quantity of target spectral information. This step is to screen out the abnormal information, so as to make the detection result of the urine more accurate.

[0452] The ranking detection is suitable for a case where the number of output data points is determined, and the purpose is to screen out a certain quantity of spectral information with intensity in the extreme value range from the first quantity of target spectral information, and remove these spectral information, which is not used for urine detection. The fuzzy detection is suitable for a case where the number of output data points is not determined, and the purpose is to screen out some spectral information worth attention, and remove them according to needs. In the ranking detection, the spectral information between the maximum value and the minimum value is not processed, and the spectral information between the maximum value and the minimum value may still be abnormal. Therefore, on the basis of the ranking detection, the fuzzy detection is further performed, the spectral information worth attention between the maximum value and the minimum value can be screened out, and removed according to needs, so as to further improve the detection accuracy of the urine.

[0453] The ranking detection comprises:

[0454] The third preset quantity of spectral information is obtained according to the intensity from large to small, and the fourth preset quantity of spectral information is obtained according to the intensity from small to large,

[0455] The urine is detected according to the third preset quantity of spectral information and the fourth preset quantity of spectral information.

[0456] Preferably, the third preset quantity is equal to the fourth preset quantity, and the maximum value and the minimum value are uniformly distributed, which is more conducive to improving the detection accuracy.

[0457] The fuzzy detection comprises:

[0458] The first quantity of target spectral information is sorted according to a fourth preset manner and defined as a third sequence, and the fourth preset manner comprises an intensity increasing manner or an intensity decreasing manner.

[0459] The ranges of the P different intensity sudden increase abnormal points and the Q different intensity sudden decrease abnormal points in the third sequence are determined according to a fifth preset mode, wherein P and Q are positive integers, and the fifth preset mode can be an n-sigma detection mode, which is a prior art and will not be described herein;

[0460] Different amounts of spectral information are obtained in the P different intensity sudden increase abnormal point ranges, wherein the intensity of the spectral information is inversely proportional to the amount of the spectral information obtained according to the intensity, and different amounts of spectral information are obtained in the Q different intensity sudden decrease abnormal point ranges, wherein the intensity of the spectral information is directly proportional to the amount of the spectral information obtained according to the intensity,

[0461] After the obtained spectral information is reserved or removed according to a preset condition, urine detection is performed.

[0462] Preferably, in the present embodiment, P is 3, Q is 3, μ is the average spectral intensity of the third sequence, σ is the standard deviation of the spectral intensity of the third sequence, and the 3-sigma detection mode is used for abnormality detection. When the spectral information worth attention in the third sequence is screened, the sudden increase abnormal point range is considered to have three levels, A1, A2 and A3, A1>μ+σ, A2>μ+2σ and A3>μ+3σ, wherein A1 level involves the highest spectral intensity, according to the principle that the intensity of the spectral information is inversely proportional to the amount of the spectral information obtained according to the intensity, the amount of the spectral information worth attention is A1<A2<A3; the sudden increase abnormal point range is considered to have three levels, B1, B2 and B3, B1<μ-σ, B2<μ-2σ and B3<μ-3σ, wherein B3 level involves the lowest spectral intensity, according to the principle that the intensity of the spectral information is directly proportional to the amount of the spectral information obtained according to the intensity, the amount of the spectral information worth attention is B1>B2>B3.

[0463] After the amount of the spectral information worth attention is determined, the above determined spectral information is reserved or removed according to a preset condition. Specifically, when the spectral information in a certain intensity range is used for urine detection, if the spectral information worth attention is located in the range, it is classified as the spectral information that can be used for urine detection; if the spectral information worth attention is located out of the range, it is removed; and if the spectral information worth attention is located on the boundary line of the intensity range, it is reserved or removed according to the actual situation. In this way, the urine detection accuracy can be improved.

[0464] Embodiment 19

[0465] Please refer to Figures 47 to 49The urine electrochemical detection method is used for electrochemical detection of urine, and a conventional detection mode is usually test paper detection, after urine is dropped on test paper, the test paper and the urine send a chemical reaction, the urine detection result is obtained by observing and analyzing the color change of the chemical reaction of the test paper and the urine, but manual naked eye comparison of reagent display results and a standard database can cause inaccurate detection results, therefore, the urine is detected in an electrochemical mode, and the urine electrochemical detection method comprises the following steps:

[0466] S400, detecting whether the electrochemical detection chip is normal;

[0467] Only when the electrochemical detection chip is normal, the urine sample is dropped on the reaction part of the electrochemical detection chip to perform urine detection, so that the sample dropping is avoided when the electrochemical detection chip is abnormal, and the detection purpose cannot be achieved.

[0468] The electrochemical detection chip comprises an insulating substrate and a plurality of chip electrodes, the plurality of chip electrodes form a reaction part and a conductive part on the insulating substrate, urine makes the plurality of chip electrodes conductive on the reaction part to generate a plurality of electric signals transmitted to the conductive part for detection, the urine electrochemical index is detected through the plurality of electric signals, manual visual judgment of related conditions of urine is not needed, and the detected urine data is more accurate.

[0469] Before step S400, the urine electrochemical detection method further comprises the following steps:

[0470] S401, adding detection materials on the chip electrodes of the reaction part;

[0471] When the electrochemical detection of urine is performed, the same kind of detection materials or multiple kinds of detection materials need to be added on the chip electrodes of the reaction part.

[0472] When the same kind of detection materials is added on the chip electrodes, a plurality of current values of an electrochemical index can be detected, and more accurate electrochemical index data can be obtained by calculating the average value of the plurality of current values.

[0473] When different kinds of detection materials are added on the chip electrodes, a plurality of current values can be obtained to detect a plurality of electrochemical indexes of urine.

[0474] The electrochemical index comprises one or more of urine specific gravity, urine PH value, urine protein, uric acid, urine potassium, urine sodium, urine calcium, urine phosphorus, urine sugar and urine chloride, and can be obtained by electric signal detection and analysis. The chip electrodes are provided with detection materials, different detection materials can detect different indexes, and the detection principle is prior art, which is not described here. The urine specific gravity and the urine PH value can be directly detected by the chip electrodes themselves, and do not need to be provided with detection materials.

[0475] S410, when the electrochemical detection chip works normally, dropping a urine sample on the reaction part of the electrochemical detection chip;

[0476] Step S410 includes:

[0477] S411, sampling urine to obtain a urine sample.

[0478] When the electrochemical detection chip does not work normally, an alarm information is sent out.

[0479] The abnormal state includes three kinds: the chip itself is damaged, the chip used last time is not pulled out, or the installation position of the chip is inaccurate.

[0480] After sending out the alarm information, troubleshooting operation is needed, including:

[0481] When the fault is that the chip itself is damaged, the chip is replaced and reinserted;

[0482] When the fault is that the chip used last time is not pulled out, the chip is replaced or reinserted;

[0483] When the fault is that the installation position of the chip is inaccurate, the installation position of the chip is adjusted.

[0484] After the troubleshooting operation is completed, the chip works normally and the urine detection continues.

[0485] S420, conducting electric identification on the electrochemical detection chip after the urine sample is dropped, the electric identification is identified by judging whether there is current generated on the electrochemical detection chip;

[0486] The urine sample performs chemical reaction in the reaction part, and the chemical reaction will generate different current values, and the detection of the current values can assist in judging the urine related data.

[0487] S430, when the electric identification identifies that there is current generated on the electrochemical detection chip, at least one current value on the electrochemical detection chip is obtained;

[0488] One current value can detect one electrochemical index, when multiple electrochemical indexes need to be detected, multiple current values need to be obtained. At the same time, when a certain electrochemical index needs to be detected more accurately, multiple current values related to the certain electrochemical index need to be obtained, and then the average value of the multiple current values is taken to obtain a more accurate current value.

[0489] S440, when the electric identification identifies that there is no current generated on the electrochemical detection chip, the urine sample is continuously dropped on the reaction part of the electrochemical detection chip.

[0490] When the electrochemical detection chip is working normally, no current is generated after the urine is dropped, which mainly considers that no urine sample is dropped into the reaction part or the amount of the urine sample dropped into the reaction part is insufficient, and the urine sample is continuously dropped to know which kind of failure it belongs to.

[0491] The urine sample is continuously dropped, the electric conduction recognizes that the current is generated on the electrochemical detection chip, the failure is removed, and the urine detection is continuously carried out.

[0492] The urine sample is continuously dropped, the electric conduction recognizes that the current is still not generated on the electrochemical detection chip, and it is necessary to check whether the urine sample enters the electrochemical detection chip.

[0493] S450, compare all current values with preset reference current values, and output a detection result.

[0494] When the detection result is output, the electrochemical detection chip is prompted to be removed. The electrochemical detection chip is saved for next use.

[0495] After the detection result is output, a cleaning operation is started. The cleaning liquid is introduced to clean the electrochemical urine detection device. The cleaning operation can be set to be carried out before the overflow of the electrochemical detection chip is prompted, and the electrochemical detection chip can be cleaned at the same time.

[0496] The present application does not use manual visual judgment of the related conditions of the urine, and the urine data detected by the digital method is more accurate.

[0497] Step S450 includes:

[0498] S451, a reference current sequence A is set, sequence A=A1, A2…An, wherein n represents the sequence length, and is a positive integer;

[0499] The reference current sequence A is a time sequence, which changes with time, and is an undetected current sequence. In short, the reference current sequence A is the current sequence recorded before the urine is dropped, which records the current on the electrochemical detection chip. The reference current sequence A is used for denoising, and the change of the environment caused by the change of time is excluded, so that the finally detected result is not ideal.

[0500] S452, a time current sequence B composed of current values when the current is generated on the electrochemical detection chip is set, sequence B=B1, B2…Bm, m represents the sequence length, and is a positive integer;

[0501] S453, according to the reference current sequence A and the m value, a standard current sequence C is screened out from the current sequence template library, sequence C=C1, C2…Cm;

[0502] The time current sequence B is a current sequence recorded after dropping the urine, which records the current on the electrochemical detection chip.

[0503] The standard current sequence C is the standard data of the urine within a certain time, which is the data when the urine index is in the most ideal condition. The data is obtained by experiment and is irrelevant to the data detected according to the current on the electrochemical detection chip. However, in order to detect the data of the current urine index, it is necessary to compare it with the data detected according to the current on the electrochemical detection chip. In this process, the interference of environmental factors such as weather needs to be excluded, and the time current sequence B needs to be in the same external environment when compared with the standard current sequence C. Therefore, the reference current sequence A and the value of m need to be taken according to the foregoing.

[0504] S454, according to An and Cm, obtaining a first dynamic time warping distance DTW1;

[0505] S455, according to An and Bm, obtaining a second dynamic time warping distance DTW2;

[0506] The first dynamic time warping distance DTW1 and the second dynamic time warping distance DTW2 are compared to exclude the interference of environmental factors such as weather on the electrochemical detection of urine.

[0507] The second dynamic time warping distance DTW2 between the reference current sequence A and the time current sequence B is calculated as follows:

[0508] Reference current sequence A = A1, A2…An, where n represents the length of the sequence, which is a positive integer;

[0509] Time current sequence B = B1, B2…Bm, m represents the length of the sequence, which is a positive integer;

[0510] An (m) matrix is constructed, and the (i, j) unit records the Euclidean distance between two points (a i , b j ) d(a i , b j ) = |a i -b j |.

[0511] As shown in Figure 49 , a bent path W is composed of a plurality of matrix units connected to each other, and the path describes a mapping between A and B. Let the kth unit be defined as w k = (i, j) k ,

[0512] w = w1, w2, w3, …, w Kmax(n, m) <= K <= n + m - 1

[0513] This curved path satisfies the following conditions:

[0514] 1. Boundary condition: w1 = (1, 1, and w k = (n, m)

[0515] 2. Continuity: Let w k = (a, b), w k-1 = (a', b'), then a - a' <= 1, b - b' <= 1

[0516] 3. Monotonicity: Let w k = (a, b), w k-1 = (a', b'), then a - a' >= 0, b - b' >= 0

[0517] Among the multiple paths satisfying the above conditions, the shortest path with the least cost is:

[0518]

[0519] Then, the distance between the two time series is:

[0520] r(i, j) = d(i, j) + min r(i - 1, j - 1), r(i - 1, j), r(i, j - 1).

[0521] DTW2 = r(i, j).

[0522] The first dynamic time warping distance DTW1 between the reference current sequence A and the standard current sequence C is calculated in the same way as DTW1.

[0523] S456, compare the first dynamic time warping distance DTW1 and the second dynamic time warping distance DTW2 to determine the detection result of the electrochemical detection chip.

[0524] If

[0525]

[0526] The electrochemical detection result is considered normal, otherwise it is abnormal.

[0527] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for detecting a component of urine based on a fluorescent reagent and electrochemistry, characterized by, The method comprises: injecting urine and a fluorescent reagent into a sample detection chamber; a fluorescent light source emits fluorescent reagent excitation light to the sample detection chamber, and excites the mixture of the urine and the fluorescent reagent to generate fluorescence; a fluorescence image of the mixture excited by the fluorescent light source is collected through the sample detection chamber; the method further comprises the following steps after the step of collecting the fluorescence image of the mixture excited by the fluorescent light source through the sample detection chamber: acquiring a urine collection image of the urine sample added with the fluorescent reagent after fluorescence excitation; inputting the urine collection image into a preset neural network model; weighting a blocked cell image in the urine collection image in each convolutional neural network layer of the neural network model; performing a cell omission prevention recognition process on the weighted urine collection image; improving a recognized region proposal frame of the cell; the neural network model is a Faster R-CNN model; the improvement of the recognized region proposal frame of the cell comprises: inputting a feature map output by a FPN structure into an RPN network layer, generating a certain number of prior frames according to the feature map in the form of a sliding window, the original Faster R-CNN sets three prior frames with width-height ratios of 1:2, 1:1 and 2:1, adjusts the initial width-height ratio of the generated prior frame to 1:2, 4:5, 1:1 and 2:1, sets the initial size of the prior frame to 16, 32, 64, 128 and 256, generates 20 prior frames at each point on the feature map, and a total of WxHx20 prior frames are generated on a picture with a size of WxH, and then the prior frames are classified in two categories, and the classification method is an IoU threshold classification method, the prior frame with an IoU greater than 0.8 with any real frame of the cell is classified as foreground, and the prior frame with an IoU less than 0.2 with all real frames is classified as background; the method further comprises: detecting the urine by an electrochemical method, comprising: before step S400, further comprising: S401, adding a detection material to the chip electrode of the reaction part; S410, when the electrochemical detection chip is working normally, dropping a urine sample on the reaction part of the electrochemical detection chip; step S410 comprises: S411, sampling the urine to obtain a urine sample; S420, conducting a conductive identification on the electrochemical detection chip after the urine sample is dropped, and the conductive identification is identified by judging whether an electric current is generated on the electrochemical detection chip; S430, when the conductive identification identifies that an electric current is generated on the electrochemical detection chip, acquiring at least one current value on the electrochemical detection chip; S440, when the conductive identification identifies that no electric current is generated on the electrochemical detection chip, continuing to drop the urine sample on the reaction part of the electrochemical detection chip; S450, comparing all current values with a preset reference current value, and outputting a detection result; step S450 comprises: S451, set a reference current sequence, the reference current sequence is a time sequence, the reference current sequence is recorded as the current sequence before the urine is not dripped, the reference current sequence is used for denoising, excluding the case that the change of environment factor is changed due to the change of time, so that the result of the final urine detection is not ideal; S452, set the time current sequence composed of current value when the electrochemical detection chip has current; S453, according to the sequence length of the reference current sequence and the time current sequence, the standard current sequence is selected from the current sequence template library; S454, according to the reference current sequence and the standard current sequence, the first dynamic time warping distance is obtained; S455, according to the reference current sequence and the time current sequence, the second dynamic time warping distance is obtained; S456, comparing the first dynamic time warping distance and the second dynamic time warping distance, determining the detection result of the electrochemical detection chip.

2. The method of claim 1, wherein The step of the fluorescent light source emitting fluorescent reagent excitation light to the sample detection chamber and exciting the mixture of the urine and the fluorescent reagent to generate fluorescence includes: Filtering the light emitted by the fluorescent light source, and then exciting the mixture of the urine and the fluorescent reagent to generate fluorescence.

3. The method of claim 1, wherein The method further includes the following steps before the step of collecting the fluorescence image of the mixture excited by the fluorescent light source through the sample detection chamber: Filtering the light through the sample detection chamber to leave the fluorescence generated by the mixture.

4. The method of claim 1, wherein The step of collecting the fluorescence image of the mixture excited by the fluorescent light source through the sample detection chamber includes: Filtering the ambient light on the fluorescence transmission path before collection.

5. The method of claim 1, wherein The method includes the following step before the step of injecting urine and fluorescent reagent into the sample detection chamber:

6. The method of claim 1, wherein Defoaming treatment of the urine. The method includes the following step after the step of collecting the fluorescence image of the mixture excited by the fluorescent light source through the sample detection chamber:

7. The method of claim 1, wherein Cleaning treatment of the detection device. The step of weighting the occluded cell image in the urine collection image in each layer of the convolutional neural network of the neural network model includes:

8. The method of claim 1, wherein Embedding attention mechanism in each layer of the convolutional neural network. The step of preventing cell omission recognition processing on the weighted urine collection image includes: Feature fusion processing is performed on cells of different sizes.

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