Automatic urine sugar detection equipment for endocrinology department and control method

Abstract

The invention discloses automatic urine sugar detection equipment for the endocrinology department and a control method, and relates to the technical field of urine sugar detection.The automatic urine sugar detection equipment comprises a urine collection module, an automatic sampling module, a detection module, a signal processing module, a chip-based detection controller and a detection result output module; the urine collection module comprises a self-cleaning funnel device, a liquid inlet pipe, a liquid inlet electromagnetic valve and a sample liquid box. After detection is completed, the detection controller controls all the modules to be cleaned and reset, and preparation is made for next detection. The self-cleaning funnel device automatically cleans, and the liquid inlet pipe and the sample inlet pipe are also cleaned, so that the internal part of the equipment is ensured to be clean, and cross contamination is prevented. The process from urine collection to result output is completely automatic, so that the detection efficiency is greatly improved, and the workload of operators is reduced. By combining two detection means of electrochemistry and optics and adopting a bimodal data fusion algorithm, the accuracy and reliability of urine sugar detection are effectively improved, and the limitation of a single detection method is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of urine glucose detection, and particularly to an automatic urine glucose detection device and a control method for endocrinology department. Background Art

[0002] The techniques for urine glucose detection in the endocrinology department mainly include the test strip method, the glucose oxidase method, and the laboratory high performance liquid chromatography (HPLC). Among them, in the test strip method, the urine of the patient reacts with the test strip to produce a color change, and is quantified by a color comparison card or a portable reader. Although the test strip method is simple, it requires manual operations, including sampling, adding reagents, color comparison, etc., and is prone to errors. The glucose oxidase method is the most commonly used quantitative detection method in clinical practice at present. It uses glucose oxidase to catalyze the glucose oxidation reaction, and calculates the glucose concentration by detecting the hydrogen peroxide generated or the oxygen consumed in the reaction. This method has relatively high specificity, but requires special equipment and the reagent cost is relatively high.

[0003] The laboratory high performance liquid chromatography (HPLC) can accurately determine the content of various sugars in urine, including glucose, galactose, fructose, etc. It has high precision, but the equipment is expensive and the operation is complex. It is mainly used for scientific research or special detections.

[0004] The test strip method is easily interfered by other reducing substances in urine (such as vitamin C, uric acid, etc.), resulting in inaccurate results. Although the glucose oxidase method has relatively high specificity, it may also be interfered in some pathological conditions. The glucose oxidase method, the HPLC method, etc. require professional personnel to operate, with cumbersome steps and long time consumption. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides an automatic urine glucose detection device and a control method for endocrinology department. The following technical solutions are adopted:

[0006] An automatic urine sugar detection device for the endocrinology department, comprising a urine collection module, an automatic sampling module, a detection module, a signal processing module, a chip-based detection controller, and a detection result output module. The urine collection module includes a self-cleaning funnel device, a liquid inlet pipe, a liquid inlet solenoid valve, and a sample liquid tank. The self-cleaning funnel device is used to collect urine to be detected. One end of the liquid inlet pipe is communicated with the bottom outlet of the self-cleaning funnel device. The inlet of the sample liquid tank is communicated with the other end of the liquid inlet pipe through a conduit and the liquid inlet solenoid valve. The automatic sampling module includes a micro pump, a sampling solenoid valve, and a sampling pipe. The inlet end of the micro pump is communicated with the outlet of the sample liquid tank through a pipeline. The inlet end of the micro pump is communicated with the sampling port of the detection module through the sampling solenoid valve and the sampling pipe. The detection module combines electrochemical and optical means to detect urine sugar. The signal processing module is communicatively connected to the detection module, collects urine sugar electrochemical detection result data and urine sugar optical detection result data, and calculates the urine sugar detection value in the urine based on a dual-modal data fusion algorithm. The detection controller controls the execution actions of the urine collection module, the automatic sampling module, and the reaction module respectively. The detection result output module is communicatively connected to the signal processing module.

[0007] By adopting the above technical solution, the patient discharges the collected urine into the self-cleaning funnel device, and the urine flows into the sample liquid tank through the liquid inlet pipe. The liquid inlet solenoid valve controls the speed and amount of urine flowing into the sample liquid tank to ensure that enough urine samples are collected. The detection controller issues an instruction, and the micro pump starts to extract urine samples from the sample liquid tank through a pipeline. The sampling solenoid valve opens, and the urine sample enters the sampling port of the detection module through the sampling pipe. After receiving the urine sample, the detection module simultaneously uses two methods, electrochemical and optical, to detect urine sugar. Electrochemical detection uses an electrochemical reaction to measure the urine sugar concentration, and optical detection determines the urine sugar content by analyzing the optical characteristics of urine through an optical sensor. The signal processing module communicates with the detection module, collects the data generated by the electrochemical and optical detections. Based on the dual-modal data fusion algorithm, the signal processing module comprehensively analyzes the two detection data and calculates the final urine sugar detection value. The detection result output module communicates with the signal processing module, receives the processed urine sugar detection value, and displays the detection result on the touch display screen.

[0008] At the same time, the result output module can also transmit the data to an external system, such as a hospital information system (HIS) or an electronic medical record system (EMR).

[0009] After the detection is completed, the detection controller controls each module to be cleaned and reset to prepare for the next detection. The self-cleaning funnel device is automatically cleaned, and the liquid inlet pipe and the sampling pipe are also cleaned to ensure the internal cleanliness of the device and prevent cross-contamination.

[0010] The entire detection process requires no manual intervention and is fully automated from urine collection to result output, greatly improving the detection efficiency and reducing the workload of operators.

[0011] By combining two detection methods, namely electrochemistry and optics, and adopting a dual-modal data fusion algorithm, the accuracy and reliability of urine glucose detection are effectively improved, and the limitations of a single detection method are reduced.

[0012] Optionally, the self-cleaning funnel device includes a double-layer funnel, a flushing pump, a flushing pipe, a cleaning liquid return pipe, a cleaning liquid solenoid valve, and a cleaning liquid circulation box. A plurality of cleaning holes 1 are provided at the top of the inner wall of the double-layer funnel, and a cleaning liquid return port is provided at the bottom. The inlet of the flushing pump is connected to the outlet of the cleaning liquid circulation box through a pipeline, and the outlet of the flushing pump is connected to the plurality of cleaning holes 1 of the double-layer funnel through the flushing pipe. The cleaning liquid return port at the bottom of the double-layer funnel is connected to the inlet of the cleaning liquid circulation box through the cleaning liquid return pipe and the cleaning liquid solenoid valve. The detection controller controls the execution actions of the flushing pump and the cleaning liquid solenoid valve to achieve the self-cleaning action of the funnel.

[0013] By adopting the above technical solution, when cleaning is required, the liquid inlet solenoid valve is controlled to close, the cleaning liquid solenoid valve is controlled to open, and the flushing pump is started. The cleaning liquid is pumped out from the cleaning liquid circulation box and conveyed to the plurality of cleaning holes 1 at the top of the inner wall of the double-layer funnel through the flushing pipe. The cleaning liquid sprays out from the cleaning holes 1 and flushes the inner wall of the double-layer funnel.

[0014] The cleaning liquid return port at the bottom of the inner layer funnel conveys the dirty cleaning liquid back to the cleaning liquid circulation box through the cleaning liquid return pipe.

[0015] Optionally, the detection module includes a reaction vessel, an electrochemical sensor, an optical sensor, and a signal acquisition circuit. The inlet of the reaction vessel is connected to the sampling pipe. The urine sample in the reaction vessel reacts with the reagent. The electrochemical sensor is used to detect the electrochemical signal in the urine sample, and the optical sensor is used to detect the optical signal in the urine sample. The electrochemical sensor and the optical sensor are respectively communicatively connected to the signal input end of the signal acquisition circuit, and the signal output end of the signal acquisition circuit is communicatively connected to the signal processing module.

[0016] By adopting the above technical solution, the detection module simultaneously uses an electrochemical sensor and an optical sensor to detect the urine sample. The electrochemical sensor can detect the electrochemical signals in the urine sample, such as changes in current and voltage, which are related to the urine glucose concentration. The optical sensor can detect the absorption or reflection of the urine sample to light of a specific wavelength, which can also reflect the urine glucose concentration. These two detection methods are based on different principles and can complement each other, reducing the limitations of a single detection method and improving the accuracy of the detection results.

[0017] The signal processing module collects the detection data of the electrochemical sensor and the optical sensor, and comprehensively analyzes these two types of data using a dual-modal data fusion algorithm. This algorithm can more comprehensively evaluate the urine glucose concentration, reduce errors caused by sample differences, environmental factors, etc., and further improve the reliability of the detection results.

[0018] Optionally, the signal acquisition circuit includes an amplifier, a filter, and an analog-to-digital converter. The electrochemical sensor and the optical sensor are respectively communicatively connected to the signal input terminal of the amplifier. The amplifier is communicatively connected to the filter, the analog-to-digital converter is communicatively connected to the filter, and the signal output terminal of the analog-to-digital converter is communicatively connected to the signal processing module.

[0019] Optionally, the signal processing module includes a memory and a data analysis chip. The memory is communicatively connected to the signal output terminal of the analog-to-digital converter, and the data analysis chip is communicatively connected to the memory.

[0020] Optionally, the detection controller includes an instruction buffer and a control chip. The instruction buffer stores a control instruction set, and the control chip is communicatively connected to the instruction buffer to respectively control the execution actions of the flushing pump, the cleaning liquid solenoid valve, the micro pump, the sample injection solenoid valve, the reaction vessel, the electrochemical sensor, and the optical sensor based on the control instruction set.

[0021] Optionally, the detection result output module is a touch display screen. The detection result output module is communicatively connected to the control chip, and control instructions are input by operating the detection result output module.

[0022] A control method for an automatic urine glucose detection device used in endocrinology, which is used to control an automatic urine glucose detection device used in endocrinology, includes the following steps:

[0023] Step 1, the detection controller controls the cleaning liquid solenoid valve to open, controls the sample injection solenoid valve to close, and controls the flushing pump to start to perform the self-cleaning action of the funnel to ensure that the funnel is clean and pollution-free;

[0024] Step 2, the detection controller controls the cleaning liquid solenoid valve and the flushing pump to close, and controls the sample injection solenoid valve to open;

[0025] Step 3, pour the urine to be detected from the double-layer funnel, and the detection controller controls the micro pump to start to pump the urine to be detected into the reaction vessel to obtain a urine sample;

[0026] Step 4, the detection controller controls the automatic dosing device in the reaction vessel to add a reaction reagent, and the urine sample in the reaction vessel reacts with the reagent;

[0027] Step 5, the electrochemical sensor and the optical sensor respectively detect the electrochemical signal and the optical signal in the urine sample;

[0028] Step 6, the signal acquisition circuit amplifies, filters, and performs analog-to-digital conversion on the acquired signal;

[0029] Step 7, the data analysis chip receives the processed signal and calculates the urine glucose detection value based on the dual-modal data fusion algorithm;

[0030] Step 8, the detection result output module displays the urine glucose detection value.

[0031] Optionally, the dual-modal data fusion algorithm includes the following steps:

[0032] Step a, calibrate the electrochemical signal, and the calibration formula is as follows:

[0033]

[0034] where G ec is the calibrated electrochemical detection value, I raw is the original current of the electrochemical sensor, I offset is the zero-point current, S ec is the sensitivity of the electrochemical sensor, K temp is the temperature compensation coefficient, with a value of 1.02 / °C - 1.05 / °C;

[0035] Step b, calibrate the optical signal, and the calibration formula is as follows:

[0036]

[0037] where G opt is the calibrated optical detection value, ΔOD is the absorbance difference at 0 nm, OD blank is the absorbance of the blank reagent, S opt is the sensitivity of the optical sensor, K pH is the pH correction factor;

[0038] Step c, calculate the urine glucose detection value using the following formula:

[0039] G final = w × G ec + (1 - w) × G opt ;

[0040] where G final is the urine glucose detection value, w is the weight coefficient of the electrochemical detection, G ec is the calibrated electrochemical detection value, G opt is the calibrated optical detection value.

[0041] Optionally, w is obtained using the following calculation formula:

[0042]

[0043] where σ ec is the historical measurement standard deviation of the electrochemical detection value, and σ opt is the historical measurement standard deviation of the optical detection value.

[0044] In summary, the present invention includes at least one of the following beneficial technical effects:

[0045] The present invention can provide an automatic urine glucose detection device and a control method for the endocrinology department. The urine to be detected flows into the sample liquid tank through the liquid inlet pipe. The liquid inlet solenoid valve controls the speed and amount of urine flowing into the sample liquid tank to ensure that sufficient urine samples are collected. The detection controller issues an instruction to start the micro pump, and the urine sample is extracted from the sample liquid tank through the pipeline. The sample injection solenoid valve is opened, and the urine sample enters the sample injection port of the detection module through the sample injection pipe. After receiving the urine sample, the detection module uses both electrochemical and optical methods to detect urine glucose. Electrochemical detection uses an electrochemical reaction to measure the urine glucose concentration, and optical detection determines the urine glucose content by analyzing the optical properties of urine through an optical sensor. The signal processing module communicates with the detection module and collects the data generated by electrochemical and optical detections. Based on the dual-mode data fusion algorithm, the signal processing module comprehensively analyzes the two detection data and calculates the final urine glucose detection value. The detection result output module communicates with the signal processing module, receives the processed urine glucose detection value, and displays the detection result on the touch display screen.

[0046] After the detection is completed, the detection controller controls each module to be cleaned and reset to prepare for the next detection. The self-cleaning funnel device is automatically cleaned, and the liquid inlet pipe and the sample injection pipe are also cleaned to ensure the internal cleanliness of the device and prevent cross-contamination.

[0047] The entire detection process requires no manual intervention, and is completely automated from urine collection to result output, greatly improving the detection efficiency and reducing the workload of the operator.

[0048] By combining two detection means of electrochemistry and optics and adopting the dual-mode data fusion algorithm, the accuracy and reliability of urine glucose detection are effectively improved, and the limitations of a single detection method are reduced. Description of the Drawings

[0049] Figure 1 is a schematic diagram of the structural principle of an automatic urine glucose detection device for the endocrinology department of the present invention;

[0050] Figure 2 is a schematic diagram of the internal structural principle of the double-layer funnel of an automatic urine glucose detection device for the endocrinology department of the present invention;

[0051] Figure 3 is a schematic diagram of the connection principle of electrical components of an automatic urine glucose detection device for the endocrinology department of the present invention.

[0052] Explanation of the accompanying drawings: 11. Self-cleaning funnel device; 12. Liquid inlet pipe; 13. Liquid inlet solenoid valve; 131. Micro pump; 132. Sample injection solenoid valve; 133. Sample injection pipe; 14. Sample liquid tank; 15. Double-layer funnel; 16. Flushing pump; 17. Flushing pipe; 18. Cleaning liquid reflux pipe; 19. Cleaning liquid solenoid valve; 20. Cleaning liquid circulation box; 4. Detection module; 41. Reaction container; 42. Electrochemical sensor; 43. Optical sensor; 44. Signal acquisition circuit; 441. Amplifier; 442. Filter; 443. Analog-to-digital converter; 5. Signal processing module; 51. Memory; 52. Data analysis chip; 6. Detection controller; 61. Instruction cache; 62. Control chip; 7. Detection result output module. DETAILED DESCRIPTION

[0053] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0054] The embodiment of the present invention discloses an automatic urine sugar detection device for endocrinology department and a control method.

[0055] Reference Figure 1 - Figure 3 Embodiment 1, an endocrinology department urine sugar automatic detection equipment, including urine collection module, automatic sampling module, detection module 4, signal processing module 5, chip-based detection controller 6 and detection result output module 7, urine collection module including self-cleaning funnel device 11, liquid inlet pipe 12, liquid inlet solenoid valve 13 and sample liquid box 14, self-cleaning funnel device 11 is used to collect urine to be detected, one end of liquid inlet pipe 12 is connected with the bottom outlet of self-cleaning funnel device 11, the inlet of sample liquid box 14 is connected with the other end of liquid inlet pipe 12 through conduit and liquid inlet solenoid valve 13, automatic sampling module including micro pump 131, sample inlet solenoid valve 132 and sample inlet pipe 133, the inlet end of the micro pump 131 is connected to the outlet of the sample liquid box 14 through a pipeline, and the inlet end of the micro pump 131 is connected to the sampling port of the detection module 4 through the sampling solenoid valve 132 and the sampling tube 133. The detection module 4 combines electrochemical and optical means to detect urine sugar in urine. The signal processing module 5 is connected in communication with the detection module 4 to collect urine sugar electrochemical detection result data and urine sugar optical detection result data. The urine sugar detection value in urine is calculated based on the dual-modal data fusion algorithm. The detection controller 6 controls the execution actions of the urine collection module, the automatic sampling module and the reaction module respectively, and the detection result output module 7 is connected in communication with the signal processing module 5.

[0056] The patient discharges the collected urine into the self-cleaning funnel device 11, and the urine flows into the sample liquid box 14 through the liquid inlet pipe 12. The inlet solenoid valve 13 controls the flow rate and amount of urine flowing into the sample liquid box 14 to ensure that sufficient urine samples are collected. The detection controller 6 issues an instruction, and the micro pump 131 starts to extract urine samples from the sample liquid box 14 through a pipeline. The sampling solenoid valve 132 is opened, and the urine sample enters the sampling port of the detection module 4 through the sampling pipe 133. After receiving the urine sample, the detection module 4 performs urine glucose detection using both electrochemical and optical methods simultaneously. Electrochemical detection measures the urine glucose concentration using electrochemical reactions, and optical detection determines the urine glucose content by analyzing the optical properties of urine through an optical sensor. The signal processing module 5 communicates with the detection module 4 to collect the data generated by electrochemical and optical detections. Based on the dual-mode data fusion algorithm, the signal processing module 5 comprehensively analyzes the two detection data and calculates the final urine glucose detection value. The detection result output module 7 communicates with the signal processing module 5, receives the processed urine glucose detection value, and displays the detection result on the touch display screen.

[0057] Meanwhile, the result output module 7 can also transmit the data to external systems, such as the Hospital Information System (HIS) or the Electronic Medical Record System (EMR).

[0058] After the detection is completed, the detection controller 6 controls each module to perform cleaning and resetting to prepare for the next detection. The self-cleaning funnel device 11 is automatically cleaned, and the liquid inlet pipe 12 and the sampling pipe 133 are also cleaned to ensure the internal cleanliness of the device and prevent cross-contamination.

[0059] The entire detection process requires no manual intervention, and is completely automated from urine collection to result output, greatly improving the detection efficiency and reducing the workload of operators.

[0060] By combining electrochemical and optical detection means and adopting a dual-mode data fusion algorithm, the accuracy and reliability of urine glucose detection are effectively improved, and the limitations of single detection methods are reduced.

[0061] Embodiment 2, the self-cleaning funnel device 11 includes a double-layer funnel 15, a flushing pump 16, a flushing pipe 17, a cleaning liquid return pipe 18, a cleaning liquid solenoid valve 19, and a cleaning liquid circulation box 20. Multiple cleaning holes 151 are provided at the top of the inner wall of the double-layer funnel 15, and a cleaning liquid return port is provided at the bottom. The inlet of the flushing pump 16 is connected to the outlet of the cleaning liquid circulation box 20 through a pipeline, and the outlet of the flushing pump 16 is connected to the multiple cleaning holes 151 of the double-layer funnel 15 through the flushing pipe 17. The cleaning liquid return port at the bottom of the double-layer funnel 15 is connected to the inlet of the cleaning liquid circulation box 20 through the cleaning liquid return pipe 18 and the cleaning liquid solenoid valve 19. The detection controller 6 controls the execution actions of the flushing pump 16 and the cleaning liquid solenoid valve 19 to achieve the self-cleaning action of the funnel.

[0062] When cleaning is required, the liquid inlet solenoid valve 13 is controlled to close, the cleaning liquid solenoid valve 19 is controlled to open, and the flushing pump 16 is started. The cleaning liquid is pumped out from the cleaning liquid circulation box body 20 and delivered through the flushing pipe 17 to a plurality of cleaning holes 151 at the top of the inner wall of the double-layer funnel 15. The cleaning liquid sprays out from the cleaning holes 151 to flush the inner wall of the double-layer funnel 15.

[0063] The cleaning liquid return port at the bottom of the inner funnel conveys the dirty cleaning liquid back to the cleaning liquid circulation box body 20 through the cleaning liquid return pipe 18.

[0064] In Embodiment 3, the detection module 4 includes a reaction container 41, an electrochemical sensor 42, an optical sensor 43, and a signal acquisition circuit 44. The inlet of the reaction container 41 is communicated with the sampling pipe 133. In the reaction container 41, the urine sample reacts with the reagent. The electrochemical sensor 42 is used to detect the electrochemical signals in the urine sample, and the optical sensor 43 is used to detect the optical signals in the urine sample. The electrochemical sensor 42 and the optical sensor 43 are respectively communicatively connected to the signal input terminals of the signal acquisition circuit 44, and the signal output terminal of the signal acquisition circuit 44 is communicatively connected to the signal processing module 5.

[0065] The detection module 4 simultaneously uses the electrochemical sensor 42 and the optical sensor 43 to detect the urine sample. The electrochemical sensor 42 can detect the electrochemical signals in the urine sample, such as changes in current and voltage, which are related to the urine glucose concentration. The optical sensor 43 can detect the absorption or reflection of the urine sample to light of a specific wavelength, which can also reflect the urine glucose concentration. These two detection methods are based on different principles, can complement each other, reduce the limitations of a single detection method, and improve the accuracy of the detection results.

[0066] The signal processing module 5 collects the detection data of the electrochemical sensor 42 and the optical sensor 43, and comprehensively analyzes these two types of data using a dual-modal data fusion algorithm. This algorithm can more comprehensively evaluate the urine glucose concentration, reduce errors caused by sample differences, environmental factors, etc., and further improve the reliability of the detection results.

[0067] The signal acquisition circuit 44 includes an amplifier 441, a filter 442, and an analog-to-digital converter 443. The electrochemical sensor 42 and the optical sensor 43 are respectively communicatively connected to the signal input terminals of the amplifier 441. The amplifier 441 is communicatively connected to the filter 442, and the analog-to-digital converter 443 is communicatively connected to the filter 442. The signal output terminal of the analog-to-digital converter 443 is communicatively connected to the signal processing module 5.

[0068] The signal processing module 5 includes a memory 51 and a data analysis chip 52. The memory 51 is communicatively connected to the signal output terminal of the analog-to-digital converter 443, and the data analysis chip 52 is communicatively connected to the memory 51.

[0069] The detection controller 6 includes an instruction buffer 61 and a control chip 62. The instruction buffer 61 stores a control instruction set, and the control chip 62 is communicatively connected to the instruction buffer 61 and controls the execution actions of the flushing pump 16, the cleaning liquid solenoid valve 19, the micro pump 131, the sample injection solenoid valve 132, the reaction vessel 41, the electrochemical sensor 42, and the optical sensor 43 respectively based on the control instruction set.

[0070] The detection result output module 7 is a touch display screen. The detection result output module 7 is communicatively connected to the control chip 62, and control instructions are input by operating the detection result output module 7.

[0071] A control method for an automatic urine glucose detection device used in endocrinology, which is used to control an automatic urine glucose detection device used in endocrinology, includes the following steps:

[0072] Step 1, the detection controller 6 controls the cleaning liquid solenoid valve 19 to open, controls the sample injection solenoid valve 132 to close, and controls the flushing pump 16 to start to perform the self-cleaning action of the funnel to ensure that the funnel is clean and pollution-free;

[0073] Step 2, the detection controller 6 controls the cleaning liquid solenoid valve 19 and the flushing pump 16 to close, and controls the sample injection solenoid valve 132 to open;

[0074] Step 3, pour the urine to be detected from the double-layer funnel 15, and the detection controller 6 controls the micro pump 131 to start to pump the urine to be detected into the reaction vessel 41 to obtain a urine sample;

[0075] Step 4, the detection controller 6 controls the automatic dosing device in the reaction vessel 41 to add a reaction reagent, and the urine sample in the reaction vessel 41 reacts with the reagent;

[0076] Step 5, the electrochemical sensor 42 and the optical sensor 43 respectively detect the electrochemical signal and the optical signal in the urine sample;

[0077] Step 6, the signal acquisition circuit 44 amplifies, filters, and performs analog-to-digital conversion on the acquired signals;

[0078] Step 7, the data analysis chip 52 receives the processed signals and calculates the urine glucose detection value in the urine based on the dual-modal data fusion algorithm;

[0079] Step 8, the detection result output module 7 displays the urine glucose detection value.

[0080] The dual-modal data fusion algorithm includes the following steps:

[0081] Step a, calibrate the electrochemical signal, and the calibration formula is as follows:

[0082]

[0083] Among them, G ec is the calibrated electrochemistry detection value, I raw is the original current of the electrochemistry sensor, I offset is the zero-point current, S ec is the sensitivity of the electrochemistry sensor, K temp is the temperature compensation coefficient, with a value range of 1.02 / °C - 1.05 / °C;

[0084] Step b: Calibrate the optical signal. The calibration formula is as follows:

[0085]

[0086] Among them, G opt is the calibrated optical detection value, ΔOD is the absorbance difference at 530 nm, OD blank is the absorbance of the blank reagent, S opt is the sensitivity of the optical sensor, K pH is the pH correction factor;

[0087] Step c: Calculate the urine glucose detection value using the following formula:

[0088] G final = w × G ec +(1 - w) × G opt ;

[0089] Among them, G final is the urine glucose detection value, w is the weight coefficient of the electrochemistry detection, G ec is the calibrated electrochemistry detection value, G opt is the calibrated optical detection value.

[0090] w is obtained using the following calculation formula:

[0091]

[0092] Among them, σ ec is the historical measurement standard deviation of the electrochemistry detection value, σ opt is the historical measurement standard deviation of the optical detection value.

[0093] The above are all the preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present invention should be covered within the protection scope of the present invention.

Claims

1. An automated urine glucose detection device for the endocrinology department, characterized in that: It includes a urine collection module, an automatic sampling module, a detection module (4), a signal processing module (5), a chip-based detection controller (6), and a detection result output module (7). The urine collection module includes a self-cleaning funnel device (11), a liquid inlet pipe (12), a liquid inlet solenoid valve (13), and a sample liquid tank (14). The self-cleaning funnel device (11) is used to collect urine to be detected. One end of the liquid inlet pipe (12) is communicated with the bottom outlet of the self-cleaning funnel device (11). The inlet of the sample liquid tank (14) is communicated with the other end of the liquid inlet pipe (12) through a conduit and the liquid inlet solenoid valve (13). The automatic sampling module includes a micro pump (131), a sampling solenoid valve (132), and a sampling pipe (133). The inlet end of the micro pump (131) is communicated with the outlet of the sample liquid tank (14) through a pipeline. The inlet end of the micro pump (131) is communicated with the sampling port of the detection module (4) through the sampling solenoid valve (132) and the sampling pipe (133). The detection module (4) combines electrochemical and optical means to detect urine sugar in urine. The signal processing module (5) is communicatively connected with the detection module (4) to collect urine sugar electrochemical detection result data and urine sugar optical detection result data, and calculates the urine sugar detection value in urine based on a dual-modal data fusion algorithm. The detection controller (6) controls the execution actions of the urine collection module, the automatic sampling module, and the reaction module respectively. The detection result output module (7) is communicatively connected with the signal processing module (5).

2. An automatic urine sugar detection device for endocrinology according to claim 1, characterized in that: The self-cleaning funnel device (11) includes a double-layer funnel (15), a flushing pump (16), a flushing pipe (17), a cleaning liquid return pipe (18), a cleaning liquid solenoid valve (19), and a cleaning liquid circulation box body (20). A plurality of cleaning holes (151) are arranged at the top of the inner wall of the double-layer funnel (15), and a cleaning liquid return port is arranged at the bottom. The inlet of the flushing pump (16) is communicated with the outlet of the cleaning liquid circulation box body (20) through a pipeline. The outlet of the flushing pump (16) is communicated with the plurality of cleaning holes (151) of the double-layer funnel (15) through the flushing pipe (17). The cleaning liquid return port at the bottom of the double-layer funnel (15) is communicated with the inlet of the cleaning liquid circulation box body (20) through the cleaning liquid return pipe (18) and the cleaning liquid solenoid valve (19). The detection controller (6) controls the execution actions of the flushing pump (16) and the cleaning liquid solenoid valve (19) to realize the self-cleaning action of the funnel.

3. An automatic urine sugar detection device for endocrinology according to claim 2, characterized in that: The detection module (4) includes a reaction container (41), an electrochemical sensor (42), an optical sensor (43), and a signal acquisition circuit (44). The inlet of the reaction container (41) is communicated with the sampling pipe (133). The urine sample in the reaction container (41) reacts with the reagent. The electrochemical sensor (42) is used to detect the electrochemical signal in the urine sample. The optical sensor (43) is used to detect the optical signal in the urine sample. The electrochemical sensor (42) and the optical sensor (43) are respectively communicatively connected with the signal input end of the signal acquisition circuit (44). The signal output end of the signal acquisition circuit (44) is communicatively connected with the signal processing module (5).

4. An automatic urine glucose detection device for endocrinology department according to claim 3, characterized in that: The signal acquisition circuit (44) includes an amplifier (441), a filter (442), and an analog-to-digital converter (443). The electrochemical sensor (42) and the optical sensor (43) are respectively communicatively connected to the signal input terminal of the amplifier (441). The amplifier (441) is communicatively connected to the filter (442), and the analog-to-digital converter (443) is communicatively connected to the filter (442). The signal output terminal of the analog-to-digital converter (443) is communicatively connected to the signal processing module (5).

5. An automated urine glucose detection device for endocrinology according to claim 4, characterized in that: The signal processing module (5) includes a memory (51) and a data analysis chip (52). The memory (51) is communicatively connected to the signal output terminal of the analog-to-digital converter (443), and the data analysis chip (52) is communicatively connected to the memory (51).

6. An automatic urine glucose detection device for endocrinology according to claim 5, characterized in that: The detection controller (6) includes an instruction buffer (61) and a control chip (62). The instruction buffer (61) stores a control instruction set. The control chip (62) is communicatively connected to the instruction buffer (61) and controls the execution actions of the flushing pump (16), the cleaning liquid solenoid valve (19), the micropump (131), the sample injection solenoid valve (132), the reaction vessel (41), the electrochemical sensor (42), and the optical sensor (43) respectively based on the control instruction set.

7. An automatic urine glucose detection device for endocrinology according to claim 6, characterized in that: The detection result output module (7) is a touch display screen. The detection result output module (7) is communicatively connected to the control chip (62), and control instructions are input by operating the detection result output module (7).

8. A control method for an automated urine glucose detection device used in endocrinology, characterized in that, For controlling the automatic urine sugar detection device for endocrinology department described in claim 7, it includes the following steps: Step 1, the detection controller (6) controls the cleaning liquid solenoid valve (19) to open, controls the sample injection solenoid valve (132) to close, and controls the flushing pump (16) to start to perform the self-cleaning action of the funnel to ensure that the funnel is clean and pollution-free; Step 2, the detection controller (6) controls the cleaning liquid solenoid valve (19) and the flushing pump (16) to close, and controls the sample injection solenoid valve (132) to open; Step 3, pour the urine to be detected from the double-layer funnel (15). The detection controller (6) controls the micropump (131) to start to pump the urine to be detected into the reaction vessel (41) to obtain a urine sample; Step 4, the detection controller (6) controls the automatic dosing device in the reaction vessel (41) to add a reaction reagent, and the urine sample in the reaction vessel (41) reacts with the reagent; Step 5, the electrochemical sensor (42) and the optical sensor (43) respectively detect the electrochemical signal and the optical signal in the urine sample; Step 6, the signal acquisition circuit (44) amplifies, filters, and performs analog-to-digital conversion on the acquired signals; Step 7, the data analysis chip (52) receives the processed signals and calculates the urine sugar detection value based on the dual-modal data fusion algorithm; Step 8, the detection result output module (7) displays the urine sugar detection value.

9. A control method for an automated urine glucose detection device used in endocrinology, as described in claim 8, characterized in that, The dual-modal data fusion algorithm includes the following steps: Step a, calibrate the electrochemical signal, and the calibration formula is as follows: Among which G ec is the calibrated electrochemistry detection value, I raw is the original current of the electrochemistry sensor, I offset is the zero-point current, S ec is the sensitivity of the electrochemistry sensor, K temp is the temperature compensation coefficient, with a value range of 1.02 / ℃ - 1.05 / ℃; Step b, calibrate the optical signal, and the calibration formula is as follows: where G opt is the calibrated optical detection value, ΔOD is the absorbance difference at (530) nm, and OD blank is the absorbance of the blank reagent, S opt is the sensitivity of the optical sensor, and K pH is the pH correction factor; Step c, calculate the urine sugar detection value using the following formula: G final = w × G ec + (1 - w) × G opt ; Where G final is the urine glucose detection value, w is the weight coefficient of electrochemical detection, and G ec is the calibrated electrochemical detection value, and G opt is the calibrated optical detection value.

10. A control method for an automatic urine glucose detection device used in endocrinology, characterized in that w is obtained using the following calculation formula: where σ ec is the historical measurement standard deviation of the electrochemical detection value, and σ opt is the historical measurement standard deviation of the optical detection value.

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