Quality analysis system and method for tranexamic acid injection based on feedback analysis

Abstract

The invention relates to the technical field of quality analysis, in particular to a tranexamic acid injection quality analysis system and method.The tranexamic acid injection quality analysis method based on feedback analysis comprises the steps that injection liquid at all heights in a standing injection bottle is obtained, and particle size data, ph value information and tranexamic acid content information of the injection liquid at all the heights are obtained; the particle size data, the ph value information and the tranexamic acid content information of the injection in the storage process are comprehensively analyzed, then the quality change condition of the injection in the injection bottle is evaluated, then the remaining shelf life of the injection is accurately estimated, the accuracy and efficiency of injection quality analysis are improved, and the quality guarantee period of the injection is prolonged. Meanwhile, by comprehensively analyzing the injections with different heights in the injection bottle, the situation that the quality analysis and judgment result is affected by layering of the injections stored for a long time is avoided, and the accuracy and efficiency of injection quality analysis are further improved.

Description

Technical Field

[0001] The present application relates to the technical field of quality analysis, and in particular to a system and method for quality analysis of tranexamic acid injection based on feedback analysis. Background Art

[0002] Tranexamic acid is a lysine analog that achieves hemostasis by inhibiting the activity of plasmin. Plasmin is an enzyme that can decompose fibrin, which plays an important role in maintaining blood fluidity and preventing thrombosis under physiological conditions. However, under certain pathological conditions, such as bleeding caused by surgery, trauma, etc., excessive plasmin activity can lead to excessive decomposition of fibrin, thereby aggravating bleeding. Tranexamic acid forms a stable complex with plasmin through its unique molecular structure, thereby inhibiting the activity of plasmin. This inhibitory effect allows fibrin to accumulate at the bleeding site and form a stable blood clot, thereby achieving the purpose of hemostasis.

[0003] In the prior art, when performing quality analysis on tranexamic acid injection, the relevant parameters of tranexamic acid injection are usually simply compared with the corresponding safety parameters to obtain the quality test results. However, the components of the injection at different heights in the injection bottle during storage may be different due to the influence of the storage environment. At the same time, it is impossible to accurately analyze the quality change, and thus it is impossible to accurately estimate the remaining shelf life of the injection, resulting in low accuracy and efficiency of the injection quality analysis. Summary of the invention

[0004] In order to overcome the defects and shortcomings of the prior art, the present application provides a tranexamic acid injection quality analysis system and method based on feedback analysis, which comprehensively analyzes the particle size data, pH value information and tranexamic acid content information of the injection during storage, and then evaluates the quality change of the injection in the injection bottle, and then accurately estimates the remaining shelf life of the injection, thereby improving the accuracy and efficiency of the injection quality analysis. At the same time, by comprehensively analyzing the injection at different heights in the injection bottle, the stratification of the injection that has been stored for a long time can be avoided to affect the quality analysis judgment result, thereby further improving the accuracy and efficiency of the injection quality analysis.

[0005] In order to achieve the above objectives, this application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a method for quality analysis of tranexamic acid injection based on feedback analysis, comprising the following steps:

[0007] S1: obtaining injection liquid at various heights in a stationary injection bottle, and obtaining particle size data, pH value information, and tranexamic acid content information of the injection liquid at various heights;

[0008] S2: Obtain the particle size data and pH value information of the injection liquid at each height and import them into the liquid stratification anomaly analysis model to perform liquid stratification anomaly analysis;

[0009] S3: obtaining the tranexamic acid content information of the injection liquid at each height and importing it into the content abnormality analysis model to perform content abnormality analysis;

[0010] S4: Perform comprehensive quality analysis of the injection liquid based on the obtained liquid stratification abnormality analysis results and content abnormality analysis results;

[0011] S5: Issue injection quality warning based on the comprehensive quality analysis results of the injection.

[0012] Optionally, the step of obtaining the injection liquid at each height in the stationary injection bottle, and obtaining the particle size data, pH value information, and tranexamic acid content information of the injection liquid at each height comprises the following specific steps:

[0013] S11. Obtain the injection bottle to be tested, let the injection bottle stand for at least 2 minutes, and then evenly obtain injection liquid samples at various heights using a graduated liquid sampler. It should be noted that the various heights here are the injection bottles evenly divided into several height layers according to their heights, and an equal amount of liquid in the middle of each height layer is obtained using a liquid sampler;

[0014] S12, obtaining average size data of particles in the injection liquid at each height. It should be noted that the method for obtaining the average size data of particles in the injection liquid at each height is as follows: obtaining injection liquid images at each height, obtaining diameter data of particles therein, and then averaging to obtain average size data of particles in the injection liquid at the corresponding height, and simultaneously obtaining pH value information of the injection liquid at each height;

[0015] S13. Acquire the tranexamic acid content information in each high-altitude liquid through a component analysis instrument. The component analysis instrument here can be a detector of a method such as high performance liquid chromatography (HPLC) or gas chromatography-mass spectrometry (GC-MS).

[0016] Optionally, the step of obtaining the particle size data and pH value information of the injection liquid at each height and importing them into the liquid stratification anomaly analysis model to perform liquid stratification anomaly analysis comprises the following specific steps:

[0017] S21, obtaining the particle size data of the injection liquid at each altitude, importing the particle size data of the injection liquid at each altitude into the particle abnormality analysis formula of the corresponding altitude layer to calculate the particle abnormality value of the corresponding altitude layer, wherein the particle abnormality analysis formula of the j-th altitude layer is: Wherein, cj is the number of particles in the liquid sample at the jth altitude layer, tij is the diameter of the ith particle in the liquid sample at the jth altitude layer, and tm is the safe value of the diameter in the liquid. In this formula, the particle abnormality at the corresponding altitude is analyzed by the diameter data of all particles at the corresponding altitude layer;

[0018] S22, substituting the obtained particle abnormality values ​​of all altitude layers into the particle overall abnormality value calculation formula to calculate the particle overall abnormality value, wherein the particle overall abnormality value calculation formula is: Among them, s is the average value anomaly ratio, N is the number of altitude layers, and xz is the particle abnormality value at the zth altitude layer. It should be noted that in this formula, The average value of the particle anomaly at all altitudes is calculated, and then Calculate the difference of particle anomaly values ​​between different altitude layers, and superimpose the difference of particle anomaly values ​​between all altitude layers to obtain the uniform anomaly of particle distribution. At the same time, since the importance weights of uniform anomaly and average anomaly are different, different weights need to be assigned.

[0019] S23, obtaining the pH value information data of the injection liquid at each height, and importing the obtained pH value information data of the injection liquid at each height into the pH abnormal value calculation formula to calculate the pH abnormal value, wherein the pH abnormal value calculation formula is: Where, fj is the pH value of the jth height layer, fz is the pH value of the zth height layer, and fm is the standard pH value of the injection liquid;

[0020] S24. Obtain the calculated overall abnormal value of the particle matter and the pH abnormal value, and substitute them into the liquid stratification abnormal value calculation formula to calculate the liquid stratification abnormal value, wherein the liquid stratification abnormal value calculation formula is: pu=λpk+(1-λ)pw, wherein λ is the overall abnormality ratio of the particle matter.

[0021] Optionally, the step of obtaining the tranexamic acid content information of the injection liquid at each height and importing it into a content abnormality analysis model to perform content abnormality analysis comprises the following specific steps:

[0022] S31: Acquire the tranexamic acid content information of the injection liquid at each height;

[0023] S32: Importing the tranexamic acid content information of the injection liquid at each height into the content abnormal value calculation formula to calculate the content abnormal value, wherein the content abnormal value calculation formula is: Among them, tj is the tranexamic acid content at the zth height layer, and tm is the standard content of tranexamic acid.

[0024] Optionally, the step of performing a comprehensive quality analysis of the injection solution on the obtained liquid stratification abnormality analysis results and content abnormality analysis results includes:

[0025] S41: Obtain the calculated liquid stratification abnormality value and content abnormality value, and substitute them into the injection quality abnormality value calculation formula to calculate the injection quality abnormality value, wherein the injection quality abnormality value calculation formula is; po = cpu + (1-c) pt, wherein c is the liquid stratification abnormality ratio;

[0026] S42: The obtained injection quality abnormality value of the current test, the injection quality abnormality value of the previous test and the test interval are introduced into the remaining shelf life calculation formula to calculate the remaining shelf life, wherein the remaining shelf life calculation formula is: Among them, poc is the abnormal quality value of the injection solution tested this time, po(c-1) is the abnormal quality value of the injection solution tested last time, and Tc is the detection interval.

[0027] Optionally, the injection quality warning according to the comprehensive quality analysis result of the injection includes:

[0028] The calculated remaining shelf life is obtained. If the remaining shelf life is less than or equal to the set remaining shelf life threshold, an injection quality warning is issued. If the remaining shelf life is greater than the set remaining shelf life threshold, no injection quality warning is issued.

[0029] In a second aspect, the present application provides a tranexamic acid injection quality analysis system based on feedback analysis, comprising:

[0030] A data acquisition module is used to collect profile material data and profile cross-section data, and to collect profile data and contact surface pressure data between the profile and the mold;

[0031] Liquid stratification anomaly analysis module, used to evaluate the bending performance of profiles and the degree of profile cross-section distortion during the bending process based on profile material data and profile cross-section data;

[0032] Content anomaly analysis module, which is used to evaluate the difference between the profile and the die and the uniformity of the contact surface pressure distribution during the stretch bending process through the contact surface profile data and contact surface pressure data;

[0033] A comprehensive quality analysis module is used to construct an operation control model of the stretching and bending equipment, and input the evaluation results of the first evaluation module and the second evaluation module into the operation control model of the stretching and bending equipment to obtain the optimal operation control parameters of the stretching and bending equipment;

[0034] The early warning module is used to issue an early warning on the quality of the injection according to the comprehensive quality analysis results of the injection.

[0035] In a third aspect, the present application provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a tranexamic acid injection quality analysis method based on feedback analysis by calling the computer program stored in the memory.

[0036] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute a quality analysis method for tranexamic acid injection based on feedback analysis.

[0037] Compared with the prior art, this application has the following advantages and beneficial effects:

[0038] The present application obtains injection liquid at various heights in a stationary injection bottle, obtains particle size data, pH value information and tranexamic acid content information of the injection liquid at various heights, obtains the particle size data and pH value information of the injection liquid at various heights and imports them into a liquid stratification abnormality analysis model for liquid stratification abnormality analysis, obtains the tranexamic acid content information of the injection liquid at various heights and imports them into a content abnormality analysis model for content abnormality analysis, performs comprehensive quality analysis of the injection liquid on the obtained liquid stratification abnormality analysis results and content abnormality analysis results, performs quality warning of the injection liquid according to the comprehensive quality analysis results of the injection liquid, comprehensively analyzes the particle size data, pH value information and tranexamic acid content information of the injection liquid during storage, and then evaluates the quality change of the injection liquid in the injection bottle, and then accurately estimates the remaining shelf life of the injection liquid, thereby improving the accuracy and efficiency of the injection liquid quality analysis;

[0039] The present application conducts a comprehensive analysis of injection solutions at different heights in the injection bottle to avoid stratification of injection solutions that have been stored for a long time and affect the quality analysis judgment results, thereby further improving the accuracy and efficiency of injection solution quality analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0041] Figure 1 It is a schematic diagram of the overall process of the tranexamic acid injection quality analysis method based on feedback analysis provided in the embodiment of the present application;

[0042] Figure 2 It is a schematic flow chart of step S2 of the quality analysis method of tranexamic acid injection based on feedback analysis provided in an embodiment of the present application;

[0043] Figure 3It is a schematic flow chart of step S4 of the quality analysis method of tranexamic acid injection based on feedback analysis provided in an embodiment of the present application;

[0044] Figure 4 It is a structural schematic diagram of a tranexamic acid injection quality analysis system based on feedback analysis provided in an embodiment of the present application;

[0045] Figure 5 It is a schematic diagram of the height layering of the tranexamic acid injection bottle provided in the embodiment of the present application. DETAILED DESCRIPTION

[0046] The technical solution of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0047] See also Figure 1 , Figure 1 It is a schematic diagram of the overall process of the tranexamic acid injection quality analysis method based on feedback analysis provided in the embodiment of the present application, which specifically includes the following steps:

[0048] S1: obtaining injection liquid at various heights in a stationary injection bottle, and obtaining particle size data, pH value information, and tranexamic acid content information of the injection liquid at various heights;

[0049] In this embodiment, obtaining the injection liquid at each height in the stationary injection bottle, obtaining the particle size data, pH value information and tranexamic acid content information of the injection liquid at each height, comprises the following specific steps:

[0050] S11. Obtain the injection bottle to be tested, let the injection bottle stand for at least 2 minutes, and then evenly obtain injection liquid samples at various heights using a graduated liquid sampler. It should be noted that Figure 5 As shown, Figure 5 1 is a schematic diagram of the height stratification of tranexamic acid injection bottles provided in an embodiment of the present application, wherein each height is obtained by evenly dividing the injection bottles into a plurality of height layers according to their heights, and obtaining an equal amount of liquid at a collection point in the middle of each height layer through a liquid sampler;

[0051] S12, obtaining average size data of particles in the injection liquid at each height. It should be noted that the method for obtaining the average size data of particles in the injection liquid at each height is as follows: obtaining injection liquid images at each height, obtaining diameter data of particles therein, and then averaging to obtain average size data of particles in the injection liquid at the corresponding height, and simultaneously obtaining pH value information of the injection liquid at each height;

[0052] S13, obtaining the tranexamic acid content information in each high-level liquid by a component analysis instrument, wherein the component analysis instrument may be a detector of a method such as high performance liquid chromatography (HPLC) or gas chromatography-mass spectrometry (GC-MS);

[0053] S2: Obtain the particle size data and pH value information of the injection liquid at each height and import them into the liquid stratification anomaly analysis model to perform liquid stratification anomaly analysis;

[0054] In this embodiment, if Figure 2 As shown, obtaining the particle size data and pH value information of the injection liquid at each height and importing them into the liquid stratification anomaly analysis model to perform liquid stratification anomaly analysis includes the following specific steps:

[0055] S21, obtaining the particle size data of the injection liquid at each altitude, importing the particle size data of the injection liquid at each altitude into the particle abnormality analysis formula of the corresponding altitude layer to calculate the particle abnormality value of the corresponding altitude layer, wherein the particle abnormality analysis formula of the j-th altitude layer is: Wherein, cj is the number of particles in the liquid sample at the jth altitude layer, tij is the diameter of the ith particle in the liquid sample at the jth altitude layer, and tm is the safe value of the diameter in the liquid. In this formula, the particle abnormality at the corresponding altitude is analyzed by the diameter data of all particles at the corresponding altitude layer;

[0056] S22, substituting the obtained particle abnormality values ​​of all altitude layers into the particle overall abnormality value calculation formula to calculate the particle overall abnormality value, wherein the particle overall abnormality value calculation formula is: Among them, s is the average value anomaly ratio, N is the number of altitude layers, and xz is the particle abnormality value at the zth altitude layer. It should be noted that in this formula, The average value of the particle anomaly at all altitudes is calculated, and then Calculate the difference of particle anomaly values ​​between different altitude layers, and superimpose the difference of particle anomaly values ​​between all altitude layers to obtain the uniform anomaly of particle distribution. At the same time, since the importance weights of uniform anomaly and average anomaly are different, different weights need to be assigned.

[0057] S23, obtaining the pH value information data of the injection liquid at each height, and importing the obtained pH value information data of the injection liquid at each height into the pH abnormal value calculation formula to calculate the pH abnormal value, wherein the pH abnormal value calculation formula is: Where, fj is the pH value of the jth height layer, fz is the pH value of the zth height layer, and fm is the standard pH value of the injection liquid;

[0058] S24, obtaining the calculated particle overall abnormality value and pH abnormality value, and substituting them into the liquid stratification abnormality value calculation formula to calculate the liquid stratification abnormality value, wherein the liquid stratification abnormality value calculation formula is: pu=λpk+(1-λ)pw, wherein λ is the particle overall abnormality ratio coefficient;

[0059] S3: obtaining the tranexamic acid content information of the injection liquid at each height and importing it into the content abnormality analysis model to perform content abnormality analysis;

[0060] In this embodiment, the tranexamic acid content information of the injection liquid at each height is obtained and imported into the content abnormality analysis model for content abnormality analysis, including the following specific steps:

[0061] S31: Acquire the tranexamic acid content information of the injection liquid at each height;

[0062] S32: Importing the tranexamic acid content information of the injection liquid at each height into the content abnormal value calculation formula to calculate the content abnormal value, wherein the content abnormal value calculation formula is: Wherein, tj is the tranexamic acid content at the z-th height layer, and tm is the standard content of tranexamic acid;

[0063] S4: Perform comprehensive quality analysis of the injection liquid based on the obtained liquid stratification abnormality analysis results and content abnormality analysis results;

[0064] In this embodiment, if Figure 3 As shown, the obtained liquid stratification abnormality analysis results and content abnormality analysis results are used to conduct comprehensive quality analysis of the injection liquid, including:

[0065] S41: Obtain the calculated liquid stratification abnormality value and content abnormality value, and substitute them into the injection quality abnormality value calculation formula to calculate the injection quality abnormality value, wherein the injection quality abnormality value calculation formula is: po=cpu+(1-c)pt, wherein c is the liquid stratification abnormality ratio;

[0066] S42: The obtained injection quality abnormality value of the current test, the injection quality abnormality value of the previous test and the test interval are introduced into the remaining shelf life calculation formula to calculate the remaining shelf life, wherein the remaining shelf life calculation formula is: Among them, poc is the abnormal value of injection quality detected this time, po(c-1) is the abnormal value of injection quality detected last time, and Tc is the detection interval time;

[0067] S5: Provide early warning of injection quality based on the comprehensive quality analysis results of the injection;

[0068] In this embodiment, the quality warning of the injection solution is performed according to the comprehensive quality analysis result of the injection solution, including:

[0069] The calculated remaining shelf life is obtained. If the remaining shelf life is less than or equal to the set remaining shelf life threshold, an injection quality warning is issued. If the remaining shelf life is greater than the set remaining shelf life threshold, no injection quality warning is issued.

[0070] It should be noted here that the method for taking the values ​​of the average value abnormal proportion coefficient, the overall abnormal proportion coefficient of the particulate matter and the liquid stratification abnormal proportion in this application is as follows: obtain the particle size data, pH value information and tranexamic acid content information of the injection liquid at each height of 500 groups of stored injection bottles, import them into the remaining shelf life calculation formula to calculate the remaining shelf life, and obtain the real shelf life, import the remaining shelf life and the real shelf life into the fitting software, and output the values ​​of the average value abnormal proportion coefficient, the overall abnormal proportion coefficient of the particulate matter and the liquid stratification abnormal proportion that meet the maximum real shelf life judgment accuracy;

[0071] The above method can achieve the following: comprehensive analysis of the particle size data, pH value information and tranexamic acid content information of the injection during storage, and then evaluate the quality change of the injection in the injection bottle, and then accurately estimate the remaining shelf life of the injection, thereby improving the accuracy and efficiency of the injection quality analysis. At the same time, by conducting a comprehensive analysis of the injection at different heights in the injection bottle, the stratification of the injection that has been stored for a long time can be avoided to affect the quality analysis judgment result, thereby further improving the accuracy and efficiency of the injection quality analysis.

[0072] See also Figure 4 , Figure 4 : is a schematic diagram of the structure of a tranexamic acid injection quality analysis system based on feedback analysis provided in an embodiment of the present application. This embodiment provides a tranexamic acid injection quality analysis system based on feedback analysis, comprising:

[0073] A data acquisition module is used to collect profile material data and profile cross-section data, and to collect profile data and contact surface pressure data between the profile and the mold;

[0074] Liquid stratification anomaly analysis module, used to evaluate the bending performance of profiles and the degree of profile cross-section distortion during the bending process based on profile material data and profile cross-section data;

[0075] Content anomaly analysis module, which is used to evaluate the difference between the profile and the die and the uniformity of the contact surface pressure distribution during the stretch bending process through the contact surface profile data and contact surface pressure data;

[0076] A comprehensive quality analysis module is used to construct an operation control model of the stretching and bending equipment, and input the evaluation results of the first evaluation module and the second evaluation module into the operation control model of the stretching and bending equipment to obtain the optimal operation control parameters of the stretching and bending equipment;

[0077] The early warning module is used to issue an early warning on the quality of the injection according to the comprehensive quality analysis results of the injection.

[0078] The above-mentioned parameters and steps for each unit module to achieve corresponding functions in the tranexamic acid injection quality analysis system based on feedback analysis of the present application can refer to the parameters and steps in the embodiment of the tranexamic acid injection quality analysis method based on feedback analysis above, and will not be repeated here.

[0079] An embodiment of the present invention further provides an electronic device, comprising a memory, a processor and a communication bus; the memory and the processor are connected via the communication bus. The memory stores a tranexamic acid injection quality analysis method based on feedback analysis as provided in the above embodiment, which can be loaded and executed by the processor.

[0080] The memory can be used to store instructions, programs, codes, code sets or instruction sets. The memory can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the tranexamic acid injection quality analysis method based on feedback analysis provided in the above embodiment, etc.; the data storage area can store data involved in the tranexamic acid injection quality analysis method based on feedback analysis provided in the above embodiment, etc.

[0081] The processor may include one or more processing cores. The processor calls the data stored in the memory by running or executing the instructions, programs, code sets or instruction sets stored in the memory, performs various functions of the present application and processes data. The processor may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller and a microprocessor. It is understandable that for different devices, the electronic device used to implement the above-mentioned processor function can also be other, and the present application embodiment is not specifically limited.

[0082] The communication bus may include a path to transmit information between the above components. The communication bus may be a PCI (Periphera] Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one double arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0083] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the tranexamic acid injection quality analysis method based on feedback analysis as provided in the above embodiment.

[0084] In an embodiment of the present application, a computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. A computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, a computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a podium random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.

[0085] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0086] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A tranexamic acid injection quality analysis method based on feedback analysis, characterized in that: The steps include: Obtaining injection liquid at various heights in a stationary injection bottle, and obtaining particle size data, pH value information, and tranexamic acid content information of the injection liquid at various heights; Obtain the particle size data and pH value information of the injection liquid at each height and import them into the liquid stratification anomaly analysis model to perform liquid stratification anomaly analysis; Obtaining tranexamic acid content information of injection liquid at each height and importing it into the content abnormality analysis model to perform content abnormality analysis; The obtained liquid stratification abnormality analysis results and content abnormality analysis results are used to conduct comprehensive quality analysis of the injection liquid; Injection quality warning is issued based on the comprehensive quality analysis results of the injection.

2. The tranexamic acid injection quality analysis method based on feedback analysis according to claim 1, characterized in that, The step of obtaining the particle size data and pH value information of the injection liquid at each height and importing them into the liquid stratification abnormality analysis model to perform liquid stratification abnormality analysis comprises the following specific steps: The particle size data of the injection liquid at each altitude is obtained, and the particle size data of the injection liquid at each altitude is imported into the particle abnormality analysis formula of the corresponding altitude layer to calculate the particle abnormality value of the corresponding altitude layer, wherein the particle abnormality analysis formula of the j-th altitude layer is: Where cj is the number of particles in the liquid sample at the jth altitude layer, tij is the diameter of the i-th particle in the liquid sample at the jth altitude layer, and tm is the safe value of the diameter in the liquid; Substitute the obtained particle abnormality values ​​of all altitude layers into the particle overall abnormality value calculation formula to calculate the particle overall abnormality value, where the particle overall abnormality value calculation formula is: Where s is the average value anomaly coefficient, N is the number of altitude layers, and xz is the particle matter anomaly value at the zth altitude layer.

3. The tranexamic acid injection quality analysis method based on feedback analysis according to claim 2, characterized in that, The step of obtaining the particle size data and pH value information of the injection liquid at each height and importing them into the liquid stratification abnormality analysis model to perform liquid stratification abnormality analysis also includes the following specific steps: The pH value information data of the injection liquid at each height is obtained, and the pH value information data of the injection liquid at each height is imported into the pH abnormal value calculation formula to calculate the pH abnormal value, wherein the pH abnormal value calculation formula is: Where, fj is the pH value of the jth height layer, fz is the pH value of the zth height layer, and fm is the standard pH value of the injection liquid; Obtain the calculated overall particle abnormality value and pH abnormality value and substitute them into the liquid stratification abnormality value calculation formula to calculate the liquid stratification abnormality value, where the liquid stratification abnormality value calculation formula is: pu=λpk+(1-λ)pw, where λ is the overall particle abnormality ratio coefficient.

4. The tranexamic acid injection quality analysis method based on feedback analysis according to claim 1, characterized in that, The step of obtaining the tranexamic acid content information of the injection liquid at each height and importing it into the content abnormality analysis model to perform content abnormality analysis comprises the following specific steps: S31: Acquire the tranexamic acid content information of the injection liquid at each height; S32: Importing the tranexamic acid content information of the injection liquid at each height into the content abnormal value calculation formula to calculate the content abnormal value, wherein the content abnormal value calculation formula is: Among them, tj is the tranexamic acid content at the zth height layer, and tm is the standard content of tranexamic acid.

5. The tranexamic acid injection quality analysis method based on feedback analysis according to claim 1, characterized in that, The method of performing comprehensive quality analysis of the injection solution on the obtained liquid stratification abnormality analysis results and content abnormality analysis results includes: S41: Obtain the calculated liquid stratification abnormality value and content abnormality value, and substitute them into the injection quality abnormality value calculation formula to calculate the injection quality abnormality value, wherein the injection quality abnormality value calculation formula is: po=cpu+(1-c)pt, wherein c is the liquid stratification abnormality ratio; S42: The obtained injection quality abnormality value of the current test, the injection quality abnormality value of the previous test and the test interval are introduced into the remaining shelf life calculation formula to calculate the remaining shelf life, wherein the remaining shelf life calculation formula is: Among them, poc is the abnormal quality value of the injection solution tested this time, po(c-1) is the abnormal quality value of the injection solution tested last time, and Tc is the detection interval.

6. The tranexamic acid injection quality analysis method based on feedback analysis according to claim 1, characterized in that, The injection quality warning according to the comprehensive quality analysis result of the injection includes: The calculated remaining shelf life is obtained. If the remaining shelf life is less than or equal to the set remaining shelf life threshold, an injection quality warning is issued. If the remaining shelf life is greater than the set remaining shelf life threshold, no injection quality warning is issued.

7. The tranexamic acid injection quality analysis method based on feedback analysis according to claim 1, characterized in that, The step of obtaining the injection liquid at each height in the stationary injection bottle, and obtaining the particle size data, pH value information and tranexamic acid content information of the injection liquid at each height comprises the following specific steps: S11. Obtain the injection bottle to be tested, let the injection bottle stand for at least 2 minutes, and then evenly obtain injection liquid samples at various heights using a graduated liquid sampler; S12, obtaining average size data of particles in the injection liquid at each height; S13. Obtaining information on the tranexamic acid content in the liquid at each height through a component analysis instrument.

8. A tranexamic acid injection quality analysis system based on feedback analysis, which is implemented based on the tranexamic acid injection quality analysis method based on feedback analysis described in any one of claims 1 to 7, characterized in that: The system comprises: A data acquisition module is used to collect profile material data and profile cross-section data, and to collect profile data and contact surface pressure data between the profile and the mold; Liquid stratification anomaly analysis module, used to evaluate the bending performance of profiles and the degree of profile cross-section distortion during the bending process based on profile material data and profile cross-section data; Content anomaly analysis module, which is used to evaluate the difference between the profile and the die and the uniformity of the contact surface pressure distribution during the stretch bending process through the contact surface profile data and contact surface pressure data; A comprehensive quality analysis module is used to construct an operation control model of the stretching and bending equipment, and input the evaluation results of the first evaluation module and the second evaluation module into the operation control model of the stretching and bending equipment to obtain the optimal operation control parameters of the stretching and bending equipment; The early warning module is used to issue an early warning on the quality of the injection according to the comprehensive quality analysis results of the injection.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the tranexamic acid injection quality analysis method based on feedback analysis as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the quality analysis method of tranexamic acid injection based on feedback analysis as described in any one of claims 1 to 7.

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