A method and system for collecting urine in urology

Abstract

The present invention discloses a urine collection method and system for urology, which relates to the technical field of urine collection, and comprises step S100, obtaining urine data of a patient by means of a sensor device arranged inside a collection cup, wherein the urine data comprises urine impact data, urine level data and urine bubble quantity data; step S200, inputting the urine data of the patient into a preset urine collection monitoring model to obtain urine collection analysis data; step S300, performing calculation processing according to the urine collection analysis data to generate reminder data; step S400, performing analysis according to the generated reminder data to perform a pre-reminder for urine collection, and the present invention constructs a corresponding urine collection monitoring model according to gender, obtains urine data by means of a sensor device arranged inside a collection cup, and can obtain information of urine samples more accurately, removes the influence of bubbles in the urine collection process, improves the accuracy of collection, and avoids the phenomenon of insufficient or overflowing urine collection.

Description

Technical Field

[0001] The present invention relates to the field of urine collection for urology, and in particular to a method and system for collecting urine for urology. Background Art

[0002] Urine collection can help doctors diagnose various urinary system diseases, such as urinary tract infections, kidney diseases, bladder problems, etc. The composition and characteristics of urine can provide important information about the health of the body. For patients who have been diagnosed with urinary system diseases, urine collection can be used to monitor the treatment effect. By regularly checking urine samples, doctors can evaluate the treatment plan and adjust or replace the treatment method. In the existing urine collection technology, there are still some problems that need to be solved, including:

[0003] 1. During the urine collection process, there is a situation where the amount of urine collected is too much and overflows from the collection cup, and there is also a phenomenon that a small amount of urine is collected too little and the test sample needs to be recollected;

[0004] 2. In the existing intelligent urine collection process, the urine level height detection and analysis method is mostly used. However, sometimes bubbles are generated in the patient's urine, so the urine collection method using urine level detection and analysis has a certain collection amount detection error.

[0005] In order to solve the above-mentioned problems, a urine collection method and system for urology are proposed. Summary of the invention

[0006] The purpose of the present invention is to provide a urine collection method and system for urology to solve the shortcomings of the background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A method for collecting urine for urology comprises the following steps:

[0009] The urology urine collection method comprises the following steps:

[0010] Step S100, obtaining urine data of the patient through a sensor device disposed inside the collection cup, wherein the urine data includes urine impact force data, urine level data, and urine bubble quantity data;

[0011] Step S200, inputting the patient's urine data into a preset urine collection monitoring model to obtain urine collection analysis data;

[0012] Step S300, performing calculations and processing based on urine collection and analysis data to generate reminder data;

[0013] Step S400, analyzing the generated reminder data and providing a pre-reminder for urine collection.

[0014] Furthermore, the urine impact force data is the impact pressure when the urine first contacts the bottom of the collection cup when the patient's initial urine or midstream urine is collected, and the urine impact force data is collected by a pressure sensor arranged at the bottom of the collection cup; the urine liquid level data is the liquid level height containing bubbles when the patient's urine is collected, and the urine liquid level data is collected by an infrared liquid level sensor arranged on the side wall of the collection cup; the number of urine bubbles is collected by an infrared temperature sensor arranged on the side wall of the collection cup.

[0015] Furthermore, the urine collection monitoring model includes a male collection monitoring model and a female collection monitoring model. Collection cups are distributed according to the patient's gender. The collection cups input the urine data of the patient of the corresponding gender into the urine collection monitoring model of the corresponding gender for analysis and processing.

[0016] Furthermore, the steps of constructing the preset urine collection monitoring model are:

[0017] Step S210, performing classification analysis on urine data based on gender, and collecting historical data corresponding to the urine data, wherein the historical data includes male historical information, female historical information, and the corresponding final static liquid level height and adjustment parameters;

[0018] Step S220, dividing the obtained k groups of data into x training sets and (kx) test sets, where x:(kx)=13:7, using the attribute values ​​of male historical information and female historical information as inputs of male collection monitoring model and female collection monitoring model, outputting the final static liquid level height and adjustment parameters corresponding to the attribute values ​​of male historical information and female historical information as urine collection analysis data, and training each model;

[0019] Step S230: Use the trained model to predict the test set to obtain the prediction results, and calculate the model accuracy using the prediction results and the true labels of the test set. The model accuracy can be calculated through the confusion matrix, and the accuracy threshold is set. When the model accuracy is greater than or equal to the accuracy threshold, the training is stopped, and the model at this time is used as the trained urine collection monitoring model.

[0020] Furthermore, the steps of collecting the historical data are:

[0021] Step S211, acquiring historical information of urine impulse data, urine level data, and urine bubble quantity data based on gender, wherein the historical information includes male historical information and female historical information, and marking the acquired male historical information as An, and the acquired female historical information as Vn, wherein n is the number of acquired historical information, and the acquired number of male historical information and female historical information is the same;

[0022] Step S212, collecting male historical information and female historical information of the kth group, k=1, 2, 3...n, and collecting male urine collection conditions and female urine collection conditions corresponding to the kth group of male historical information and female historical information, respectively, wherein the urine collection conditions are the final static liquid level height Hz of urine, and obtaining adjustment parameters based on the final static liquid level height and the preset standard collection liquid level height in the collection cup;

[0023] Step S213, taking the male historical information, the female historical information and the corresponding final static liquid level height and adjustment parameters as the historical data of the model.

[0024] Furthermore, according to the acquired urine collection and analysis data, including the final static liquid level height and the adjustment parameters, analysis and processing are performed, and according to the overflow or insufficient urine collection amount, reminder data is set, and the generation logic of the reminder data is:

[0025] When the modification parameter is greater than or equal to 0, the urine collection in the historical data does not exceed the standard line, that is, the collection volume is insufficient. To avoid overflow of the patient, the difference between the final static liquid level and the adjustment parameter is calculated and processed with the adjustment correction constant to obtain a calculation of the buffer area data of the optimal collection height corresponding to the final static liquid level and the adjustment parameter. The buffer area data is the reminder data when the modification parameter is greater than or equal to 0;

[0026] Compared with the case where the collection volume is insufficient, when the urine collection volume overflows and the adjustment parameter is less than 0, a primary calculation is performed using the sum of the final static liquid level height and the adjustment parameter and the adjustment correction constant, and based on the risk of collection volume overflow, a secondary overflow prevention compensation calculation is required based on the primary calculation, that is, the absolute value of the adjustment parameter multiplied by the adjustment compensation constant and added to the sum of the primary calculation results, and the sum is the reminder data when the adjustment parameter is less than 0.

[0027] Further, the steps for analyzing the reminder data are:

[0028] Setting a first reminder threshold and a second reminder threshold, wherein the first reminder threshold is greater than 0 and less than the second reminder threshold, and substituting the reminder data into the first reminder threshold and the second reminder threshold for comparison and analysis;

[0029] If the reminder data is less than or equal to the first threshold value, and the reminder data is greater than or equal to the second threshold value, an alarm signal is generated, and the warning light arranged on the outer wall of the collection cup starts to emit light to alarm;

[0030] If the reminder data is greater than the first reminder threshold and less than the second reminder threshold, no alarm signal is generated.

[0031] The present invention also provides a urine collection system for urology, comprising:

[0032] A urine data collection module, used to obtain urine data of the patient through a sensor device arranged inside the collection cup, and send the urine data to a urine data analysis module, wherein the urine data includes urine impulse data, urine level data and urine bubble quantity data;

[0033] A urine data analysis module, used for inputting the patient's urine data into a preset urine collection monitoring model to obtain urine collection analysis data, and sending the obtained urine collection analysis data to the urine collection monitoring module;

[0034] The urine collection monitoring module is used to perform calculations and processing based on the urine collection and analysis data, generate reminder data, and send the generated reminder data to the pre-alert module;

[0035] The pre-reminder module is used to analyze the generated reminder data and provide pre-reminders for urine collection.

[0036] A computer server comprises: a processor and a memory, wherein;

[0037] The memory stores a computer program that can be called by the processor;

[0038] The processor is used to execute any one of the above-mentioned urine collection methods for urology by calling the computer program stored in the memory;

[0039] When the computer program is executed on a computer device, the computer device is enabled to execute any one of the above-mentioned urine collection methods for urology.

[0040] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0041] The present invention constructs a corresponding urine collection monitoring model according to gender, and obtains urine data, including urine impact data, urine level data and urine bubble quantity data, through a sensor device arranged inside a collection cup, so as to more accurately obtain information of urine samples, eliminate the influence of bubbles in the urine collection process, improve the accuracy of collection, and avoid insufficient or overflowing urine collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0043] Figure 1 The present invention is a flow chart of a method for collecting urine for urology.

[0044] Figure 2 The module schematic diagram of a urine collection system for urology of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Embodiment 1:

[0047] See also Figure 1 As shown, this embodiment provides a urine collection method for urology, and the urine collection method for urology includes the following steps:

[0048] Step S100, obtaining urine data of the patient through a sensor device disposed inside the collection cup, wherein the urine data includes urine impact force data, urine level data, and urine bubble quantity data;

[0049] The urine impact data is the impact pressure when the urine contacts the bottom of the collection cup for the first time when the patient's initial urine or midstream urine is collected. The urine impact data is collected by a pressure sensor arranged at the bottom of the collection cup; the urine level data is the liquid level height containing bubbles when the patient's urine is collected. The urine level data is collected by an infrared liquid level sensor arranged on the side wall of the collection cup; the number of urine bubbles is collected by an infrared temperature sensor arranged on the side wall of the collection cup.

[0050] It should be noted that first urine usually refers to the first urine excreted after getting up in the morning, while midstream urine refers to the urine excreted after the first urine. These two types of urine are usually more suitable for urine testing because they can more accurately reflect the physiological state of the body.

[0051] Step S200, inputting the patient's urine data into a preset urine collection monitoring model to obtain urine collection analysis data;

[0052] The urine collection monitoring model includes a male collection monitoring model and a female collection monitoring model. Collection cups are distributed according to the gender of the patient. The collection cups input the urine data of the patient of the corresponding gender into the urine collection monitoring model of the corresponding gender for analysis and processing;

[0053] The steps for constructing the preset urine collection monitoring model are:

[0054] Step S210, classifying and analyzing urine data based on gender, and collecting historical data corresponding to the urine data, wherein the historical data includes male historical information, female historical information, and the corresponding final static liquid level height Hz and adjustment parameter Ht;

[0055] The steps for collecting the historical data are as follows:

[0056] Step S211, acquiring historical information of urine impulse data, urine level data, and urine bubble quantity data based on gender, wherein the historical information includes male historical information and female historical information, and marking the acquired male historical information as An, and the acquired female historical information as Vn, wherein n is the number of acquired historical information, and the acquired number of male historical information and female historical information is the same;

[0057] Step S212, collecting male historical information and female historical information of the kth group, k=1, 2, 3...n, and collecting male urine collection conditions and female urine collection conditions corresponding to the kth group of male historical information and female historical information, respectively, wherein the urine collection conditions are the final static liquid level height Hz of urine, and based on the final static liquid level height Hz and the preset standard collection liquid level height Hb in the collection cup, obtaining an adjustment parameter Ht, wherein Ht=Hb-Hz, and if Ht is a negative number, it indicates that the final static liquid level height Hz is too high;

[0058] Step S213, taking the male historical information, the female historical information and the corresponding final static liquid level height Hz and adjustment parameter Ht as historical data of the model;

[0059] Step S220, dividing the acquired k groups of data into x training sets and (kx) test sets, wherein x:(kx)=13:7, using the attribute values ​​of male historical information and female historical information as inputs of male collection monitoring model and female collection monitoring model, outputting the final static liquid level height Hz and adjustment parameter Ht corresponding to the attribute values ​​of male historical information and female historical information as urine collection analysis data, and training each model;

[0060] Step S230: Use the trained model to predict the test set to obtain the prediction results, and calculate the model accuracy G based on the prediction results and the true labels of the test set. The model accuracy can be calculated by the confusion matrix, and the accuracy threshold Gx is set. When the model accuracy G is greater than or equal to the accuracy threshold Gx, stop training, and use the model at this time as the trained urine collection monitoring model.

[0061] Step S300, performing calculations and processing based on urine collection and analysis data to generate reminder data;

[0062] According to the acquired urine collection and analysis data, including the final static liquid level height Hz and the adjustment parameter Ht, analysis and processing are performed, and according to the overflow or insufficient urine collection amount, reminder data Ut is set. The acquisition formula of the reminder data Ut is:

[0063]

[0064] Among them, P is the adjustment correction constant, w is the adjustment compensation constant, and both P and w are greater than 0;

[0065] The generation logic of the reminder data Ut is: when the modification parameter Ht is greater than or equal to 0, the urine collection in the historical data does not exceed the standard line, that is, the collection volume is insufficient, but in order to avoid the patient's collection overflow, the difference between the final static liquid level Hz and the adjustment parameter Ht is calculated and processed with the adjustment correction constant P to obtain a calculation of the buffer area data of the optimal collection height corresponding to the final static liquid level Hz and the adjustment parameter Ht, and the buffer area data is the reminder data Ut when the modification parameter Ht is greater than or equal to 0;

[0066] Compared with the case where the collection volume is insufficient, when the urine collection volume overflows and the adjustment parameter Ht is less than 0, a primary calculation is performed using the sum of the final static liquid level height Hz and the adjustment parameter Ht and the adjustment correction constant P, and based on the risk of overflow of the collection volume, a secondary overflow prevention compensation calculation is required based on the primary calculation, that is, the absolute value of the adjustment parameter Ht is multiplied by the adjustment compensation constant w and added to the sum of the primary calculation results, and the sum is the reminder data Ut when the adjustment parameter Ht is less than 0.

[0067] It should be noted that the unit of the reminder data Ut is millimeter.

[0068] Step S400, analyzing the generated reminder data and providing a pre-reminder for urine collection.

[0069] The steps to analyze the reminder data are:

[0070] Set a first reminder threshold U1 and a second reminder threshold U2, wherein the first reminder threshold U1 is greater than 0 and less than the second reminder threshold U2, and substitute the reminder data Ut into the first reminder threshold U1 and the second reminder threshold U2 for comparison and analysis;

[0071] If the reminder data Ut is less than or equal to the first threshold value U1, and the reminder data Ut is greater than or equal to the second threshold value U2, an alarm signal is generated, and the warning light set on the outer wall of the collection cup starts to emit light to alarm;

[0072] If the reminder data Ut is greater than the first reminder threshold U1 and less than the second reminder threshold, no alarm signal is generated.

[0073] The present invention constructs a corresponding urine collection monitoring model according to gender, and obtains urine data, including urine impact data, urine level data and urine bubble quantity data, through a sensor device arranged inside a collection cup, so as to more accurately obtain information of urine samples, eliminate the influence of bubbles in the urine collection process, improve the accuracy of collection, and avoid insufficient or overflowing urine collection.

[0074] Embodiment 2:

[0075] like Figure 2 As shown, this embodiment provides a urine collection system for urology, including:

[0076] A urine data collection module, used to obtain urine data of the patient through a sensor device arranged inside the collection cup, wherein the urine data includes urine impact force data, urine level data and urine bubble quantity data;

[0077] The urine impact data is the impact pressure when the urine first contacts the bottom of the collection cup when the patient's initial urine or midstream urine is collected. The urine impact data is collected by a pressure sensor arranged at the bottom of the collection cup. The urine level data is the liquid level height containing bubbles when the patient's urine is collected. The urine level data is collected by an infrared liquid level sensor arranged on the side wall of the collection cup. The number of urine bubbles is collected by an infrared temperature sensor arranged on the side wall of the collection cup.

[0078] The urine data collection module sends the urine data to the urine data analysis module.

[0079] A urine data analysis module, used for inputting the patient's urine data into a preset urine collection monitoring model to obtain urine collection analysis data;

[0080] The urine collection monitoring model includes a male collection monitoring model and a female collection monitoring model. Collection cups are distributed according to the gender of the patient. The collection cups input the urine data of the patient of the corresponding gender into the urine collection monitoring model of the corresponding gender for analysis and processing;

[0081] The steps for constructing the preset urine collection monitoring model are:

[0082] Step S210, performing classification analysis on urine data based on gender, and collecting historical data corresponding to the urine data, wherein the historical data includes male historical information, female historical information, and the corresponding final static liquid level height and adjustment parameters;

[0083] The steps for collecting the historical data are as follows:

[0084] Step S211, acquiring historical information of urine impulse data, urine level data, and urine bubble quantity data based on gender, wherein the historical information includes male historical information and female historical information, and marking the acquired male historical information as An, and the acquired female historical information as Vn, wherein n is the number of acquired historical information, and the acquired number of male historical information and female historical information is the same;

[0085] Step S212, collecting male historical information and female historical information of the kth group, k=1, 2, 3...n, and collecting male urine collection conditions and female urine collection conditions corresponding to the kth group of male historical information and female historical information, respectively, wherein the urine collection conditions are the final static liquid level height Hz of urine, and obtaining adjustment parameters based on the final static liquid level height and the preset standard collection liquid level height in the collection cup;

[0086] Step S213, taking the male historical information, the female historical information and the corresponding final static liquid level height and adjustment parameters as historical data of the model;

[0087] Step S220, dividing the obtained k groups of data into x training sets and (kx) test sets, where x:(kx)=13:7, using the attribute values ​​of male historical information and female historical information as inputs of male collection monitoring model and female collection monitoring model, outputting the final static liquid level height and adjustment parameters corresponding to the attribute values ​​of male historical information and female historical information as urine collection analysis data, and training each model;

[0088] Step S230: Use the trained model to predict the test set to obtain the prediction result, and calculate the model accuracy by using the prediction result and the real label of the test set. The model accuracy can be obtained by calculating the confusion matrix, and the accuracy threshold is set. When the model accuracy is greater than or equal to the accuracy threshold, the training is stopped, and the model at this time is used as the trained urine collection monitoring model;

[0089] The urine data analysis module sends the acquired urine collection and analysis data to the urine collection monitoring module.

[0090] The urine collection monitoring module is used to perform calculations and processing based on the urine collection and analysis data to generate reminder data;

[0091] According to the acquired urine collection and analysis data, including the final static liquid level height and adjustment parameters, analysis and processing are performed, and according to the overflow or insufficient urine collection volume, reminder data is set. The generation logic of the reminder data is:

[0092] When the modification parameter is greater than or equal to 0, the urine collection in the historical data does not exceed the standard line, that is, the collection volume is insufficient. To avoid overflow of the patient, the difference between the final static liquid level and the adjustment parameter is calculated and processed with the adjustment correction constant to obtain a calculation of the buffer area data of the optimal collection height corresponding to the final static liquid level and the adjustment parameter. The buffer area data is the reminder data when the modification parameter is greater than or equal to 0;

[0093] Compared with the case where the collected amount is insufficient, when the urine collected amount overflows, when the adjustment parameter is less than 0, a primary calculation is performed by the sum of the final static liquid level and the adjustment parameter and the adjustment correction constant, and based on the risk of the collected amount overflowing, a secondary overflow prevention compensation calculation is required on the basis of the primary calculation, that is, the absolute value of the adjustment parameter multiplied by the adjustment compensation constant and added to the sum of the primary calculation results, and the sum is the reminder data when the adjustment parameter is less than 0;

[0094] The urine collection monitoring module sends the generated reminder data to the pre-alert module.

[0095] A pre-reminder module is used to analyze the generated reminder data and provide a pre-reminder for urine collection;

[0096] The steps to analyze the reminder data are:

[0097] Setting a first reminder threshold and a second reminder threshold, wherein the first reminder threshold is greater than 0 and less than the second reminder threshold, and substituting the reminder data into the first reminder threshold and the second reminder threshold for comparison and analysis;

[0098] If the reminder data is less than or equal to the first threshold value, and the reminder data is greater than or equal to the second threshold value, an alarm signal is generated, and the warning light arranged on the outer wall of the collection cup starts to emit light to alarm;

[0099] If the reminder data is greater than the first reminder threshold and less than the second reminder threshold, no alarm signal is generated.

[0100] The urology urine collection system comprises:

[0101] A urine data collection module, used to obtain urine data of the patient through a sensor device arranged inside the collection cup, and send the urine data to a urine data analysis module, wherein the urine data includes urine impulse data, urine level data and urine bubble quantity data;

[0102] A urine data analysis module, used for inputting the patient's urine data into a preset urine collection monitoring model to obtain urine collection analysis data, and sending the obtained urine collection analysis data to the urine collection monitoring module;

[0103] The urine collection monitoring module is used to perform calculations and processing based on the urine collection and analysis data, generate reminder data, and send the generated reminder data to the pre-alert module;

[0104] The pre-reminder module is used to analyze the generated reminder data and provide pre-reminders for urine collection.

[0105] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0106] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0107] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for collecting urine for urology, characterized in that: The urology urine collection method comprises the following steps: Step S100, obtaining urine data of the patient through a sensor device disposed inside the collection cup, wherein the urine data includes urine impact force data, urine level data, and urine bubble quantity data; Step S200, inputting the patient's urine data into a preset urine collection monitoring model to obtain urine collection analysis data; Step S300, performing calculations and processing based on urine collection and analysis data to generate reminder data; Step S400, analyzing the generated reminder data and providing a pre-reminder for urine collection; The steps for constructing the preset urine collection monitoring model are: Step S210, performing classification analysis on urine data based on gender, and collecting historical data corresponding to the urine data, wherein the historical data includes male historical information, female historical information, and the corresponding final static liquid level height and adjustment parameters; Step S220, dividing the obtained k groups of data into x training sets and (kx) test sets, where x:(kx)=13:7, using the attribute values ​​of male historical information and female historical information as inputs of male collection monitoring model and female collection monitoring model, outputting the final static liquid level height and adjustment parameters corresponding to the attribute values ​​of male historical information and female historical information as urine collection analysis data, and training each model; Step S230: Use the trained model to predict the test set to obtain the prediction result, and calculate the model accuracy by using the prediction result and the real label of the test set. The model accuracy is calculated by the confusion matrix, and the accuracy threshold is set. When the model accuracy is greater than or equal to the accuracy threshold, the training is stopped, and the model at this time is used as the trained urine collection monitoring model; According to the acquired urine collection and analysis data, including the final static liquid level height and adjustment parameters, analysis and processing are performed, and according to the overflow or insufficient urine collection volume, reminder data is set. The generation logic of the reminder data is: When the adjustment parameter is greater than or equal to 0, the urine collection in the historical data does not exceed the standard line, that is, the collection volume is insufficient. To avoid the patient's collection overflow, the difference between the final static liquid level and the adjustment parameter is calculated and processed with the adjustment correction constant to obtain a calculation of the buffer area data relative to the final static liquid level and the optimal collection height corresponding to the adjustment parameter. The buffer area data is the reminder data when the adjustment parameter is greater than or equal to 0; Compared with the case where the collected amount is insufficient, when the urine collected amount overflows, when the adjustment parameter is less than 0, a primary calculation is performed by the sum of the final static liquid level and the adjustment parameter and the adjustment correction constant, and based on the risk of the collected amount overflowing, a secondary overflow prevention compensation calculation is required on the basis of the primary calculation, that is, the absolute value of the adjustment parameter multiplied by the adjustment compensation constant and added to the sum of the primary calculation results, and the sum is the reminder data when the adjustment parameter is less than 0; The steps to analyze the reminder data are: Setting a first reminder threshold and a second reminder threshold, wherein the first reminder threshold is greater than 0 and less than the second reminder threshold, and substituting the reminder data into the first reminder threshold and the second reminder threshold for comparison and analysis; If the reminder data is less than or equal to the first threshold value, and the reminder data is greater than or equal to the second threshold value, an alarm signal is generated, and the warning light arranged on the outer wall of the collection cup starts to emit light to alarm; If the reminder data is greater than the first reminder threshold and less than the second reminder threshold, no alarm signal is generated.

2. A method for collecting urine for urology according to claim 1, characterized in that: The urine impact data is the impact pressure when the urine contacts the bottom of the collection cup for the first time when the patient's initial urine or midstream urine is collected. The urine impact data is collected by a pressure sensor arranged at the bottom of the collection cup; the urine level data is the liquid level height containing bubbles when the patient's urine is collected. The urine level data is collected by an infrared liquid level sensor arranged on the side wall of the collection cup; the number of urine bubbles is collected by an infrared bubble sensor arranged on the side wall of the collection cup.

3. A method for collecting urine for urology according to claim 2, characterized in that: The urine collection monitoring model includes a male collection monitoring model and a female collection monitoring model. Collection cups are distributed according to the gender of the patient. The collection cups input the urine data of the patient of the corresponding gender into the urine collection monitoring model of the corresponding gender for analysis and processing.

4. A method for collecting urine for urology according to claim 3, characterized in that: The steps for collecting the historical data are as follows: Step S211, acquiring historical information of urine impulse data, urine level data, and urine bubble quantity data based on gender, wherein the historical information includes male historical information and female historical information, and marking the acquired male historical information as An, and the acquired female historical information as Vn, wherein n is the number of acquired historical information, and the acquired number of male historical information and female historical information is the same; Step S212, collecting male historical information and female historical information of the kth group, k=1, 2, 3...n, and collecting male urine collection conditions and female urine collection conditions corresponding to the kth group of male historical information and female historical information, respectively, wherein the urine collection conditions are the final static liquid level height Hz of urine, and obtaining adjustment parameters based on the final static liquid level height and the preset standard collection liquid level height in the collection cup; Step S213, taking the male historical information, the female historical information and the corresponding final static liquid level height and adjustment parameters as the historical data of the model.

5. A urine collection system for urology, used to implement a urine collection method for urology according to any one of claims 1 to 4, characterized in that: The urology urine collection system comprises: A urine data collection module, used to obtain urine data of the patient through a sensor device arranged inside the collection cup, and send the urine data to a urine data analysis module, wherein the urine data includes urine impulse data, urine level data and urine bubble quantity data; A urine data analysis module, used for inputting the patient's urine data into a preset urine collection monitoring model to obtain urine collection analysis data, and sending the obtained urine collection analysis data to the urine collection monitoring module; The urine collection monitoring module is used to perform calculations and processing based on the urine collection and analysis data, generate reminder data, and send the generated reminder data to the pre-alert module; The pre-reminder module is used to analyze the generated reminder data and provide pre-reminders for urine collection.

6. A computer server comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor is used to execute the urine collection method for urology according to any one of claims 1 to 4 by calling the computer program stored in the memory.

7. A computer-readable storage medium having a rewritable computer program stored thereon, characterized in that: When the computer program is run on a computer device, the computer device is enabled to execute the urine collection method for urology according to any one of claims 1 to 4.

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