Method and system for extracting high-purity heparin sodium

Abstract

The invention provides a high-purity heparin sodium extraction method and system, and the method comprises the steps: obtaining equipment state data of each piece of production equipment in real time, and carrying out the fluctuation analysis of the working state of each piece of production equipment according to the equipment state data, so as to obtain production change data; performing comparative analysis on the production change data and an equipment parameter threshold value of the production equipment to obtain a state analysis result; selecting an optimal equipment control parameter according to a state analysis result and outputting an equipment control instruction; performing control parameter optimization processing on the corresponding production equipment according to the equipment control instruction so as to control the plurality of corresponding production equipment to perform heparin sodium extraction production processing according to the optimal equipment control parameter; based on the technical scheme, the method and the system for extracting the high-purity heparin sodium are beneficial for accurately adjusting the equipment operation fluctuation of the production equipment, and the reaction efficiency and the reaction stability of the raw materials in the production equipment are improved.

Description

Technical Field

[0001] The invention relates to the technical field of heparin sodium production, and in particular to a method and system for extracting high-purity heparin sodium. Background Art

[0002] Heparin sodium is a raw material with anticoagulant and antithrombotic properties. Heparin sodium is first extracted from the small intestinal mucosa of pigs and made into crude heparin sodium. The crude heparin sodium is then further purified to remove some residual impurities and obtain high-purity heparin sodium. The heparin sodium extraction process requires precise control. Traditional equipment control methods mostly rely on the experience and intuition of equipment operators, lacking precise data support and automated control methods. This makes it impossible to adapt to the actual needs of the production process in real time, which in turn affects the stability and efficiency of heparin sodium extraction. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides a method and system for extracting high-purity heparin sodium, which is beneficial to improving the efficiency and stability of extracting heparin sodium.

[0004] The technical solutions provided by this application are as follows: In a first aspect, the present application provides a method for extracting high-purity heparin sodium, the method comprising: Acquire the equipment status data of each production equipment in real time, and perform fluctuation analysis on the working status of each production equipment based on the equipment status data to obtain production change data; Compare and analyze the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results; select the best equipment control parameters based on the status analysis results and output equipment control instructions; The control parameters of the corresponding production equipment are optimized according to the equipment control instructions, so that the corresponding production equipment are controlled according to the optimal equipment control parameters to perform heparin sodium extraction production processing.

[0005] Preferably, the real-time acquisition of equipment status data of each production equipment and the fluctuation analysis of the working status of each production equipment according to the equipment status data to obtain production change data include: Extracting equipment type information, temperature information, pressure information, stirring rate information and reaction time information of the production equipment from the equipment status data; Fluctuation analysis is performed on the temperature information, pressure information, stirring rate information and reaction time information of each production equipment to obtain the corresponding production change data within the preset period.

[0006] Preferably, before comparing and analyzing the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results, the method for determining the equipment parameter thresholds includes: Obtaining necessary conditions for a heparin sodium extraction reaction, and setting an initial production threshold value according to the necessary conditions; Performing test analysis according to the initial production threshold, and changing the value of the production threshold to obtain test results under different production thresholds; analyzing the test results to obtain test analysis results; The reactant feed amount of each feed inlet of the production equipment is obtained, and the set threshold value for the best test effect is determined according to the reactant feed amount, the test result and the test analysis result, as the equipment parameter threshold value.

[0007] Preferably, before comparing and analyzing the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results, the method for determining the equipment parameter thresholds includes: Perform fitting processing based on the preset weight coefficient and the real-time working data of the correlation factors of the target parameter to obtain the initial dynamic threshold value of the target parameter; Determine the fluctuation tendency variable of the target parameter based on the historical data of the target parameter; The initial dynamic threshold is smoothed according to the fluctuation tendency variable of the target parameter to obtain the device parameter threshold of the target parameter.

[0008] Preferably, before comparing and analyzing the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results, the method for determining the equipment parameter thresholds includes: Determine the fluctuation tendency variable of the target parameter based on the historical data of the target parameter; A method for determining a device parameter threshold value of a target parameter according to the fluctuation tendency variable.

[0009] Preferably, the step of selecting the best device control parameters according to the state analysis results and outputting device control instructions includes: When the equipment control parameter of the production equipment is outside the threshold setting error range in the equipment parameter threshold, the mean of the threshold setting error range is calculated and the mean is used as the optimal equipment control parameter.

[0010] Preferably, the control parameter adjustment process is performed on the corresponding production equipment according to the equipment control instruction, so as to control the corresponding several production equipment to perform the heparin sodium extraction production process according to the optimal equipment control parameters, including: Obtain the response time of the current production equipment under the equipment control parameters, and analyze the reaction adjustment range of the current production equipment according to the response time and the equipment control parameters; According to the equipment control instruction, the control parameters of the corresponding production equipment are adjusted. When the reaction adjustment range reaches the equipment parameter threshold of the production equipment, the equipment control parameters of the next production equipment are adjusted.

[0011] In a second aspect, the present application provides a high-purity heparin sodium extraction system, the high-purity heparin sodium extraction system comprising: The data acquisition module is used to acquire the equipment status data of each production equipment in real time, and perform fluctuation analysis on the working status of each production equipment according to the equipment status data to obtain production change data; The parameter selection module is used to compare and analyze the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results; based on the status analysis results, the optimal equipment control parameters are selected and the equipment control instructions are output; The parameter control module is used to optimize the control parameters of the corresponding production equipment according to the equipment control instructions, so as to control the corresponding several production equipment to perform heparin sodium extraction production processing according to the optimal equipment control parameters.

[0012] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for extracting high-purity sodium heparin as described in any one of the above items are implemented.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for extracting high-purity heparin sodium as described in any one of the above items.

[0014] The present application includes at least one of the following beneficial technical effects: 1. By collecting the equipment status data of the production equipment in real time and analyzing the data fluctuations corresponding to the equipment status data, the production change data caused by the change of the working data can be obtained, which is helpful to accurately obtain the working data fluctuations caused by the raw material reaction of heparin sodium under the working state of the production equipment, and by comparing the production change data with the equipment parameter threshold of the production equipment, the equipment control instructions are output according to the comparison results, which is helpful to accurately adjust the equipment operation fluctuations of all production equipment, improve the efficiency and stability of the raw material reaction in the production equipment, adjust the control parameters of the production equipment according to the equipment control instructions, and control the corresponding several production equipment to perform extraction processing according to the optimized control parameters, so as to further improve the efficiency of production equipment adjustment production, optimize the reaction process under the condition of heparin sodium extraction reaction fluctuations, and thus improve the efficiency of heparin sodium production.

[0015] 2. Obtain the equipment parameter thresholds of each functional module of the production equipment, and adjust the production setting data of each production equipment according to the equipment parameter thresholds. This helps to set differentiated working values ​​in combination with the reactant feed amount, and compare the production change data with the equipment parameter thresholds. According to the comparison results, the best equipment control parameters are selected, which helps to improve the adaptability between the equipment control parameters of the production equipment and the working fluctuations of the production equipment, control the current production equipment, and reduce the impact of equipment operation fluctuations.

[0016] 3. Based on the reaction time of the current production equipment under the equipment control parameters, the reaction adjustment range of the current production equipment is analyzed according to the reaction time of the raw materials in the production equipment and the equipment control parameters, which helps to analyze the extraction reaction of the current production equipment and improve the reaction adjustment accuracy under the change of the current equipment control parameters. By adjusting the control parameters of the production equipment according to the equipment control instructions, it helps to improve the reaction adjustment match of the equipment control parameters to the current production equipment. When the reaction adjustment range reaches the equipment parameter threshold of the production equipment, the equipment control parameters of the next production equipment are adjusted so that the next production equipment can adjust the extraction reaction fluctuations, improve the control accuracy of the reaction time of the next production equipment, and help to orderly adjust the production equipment according to the equipment control parameters, reduce the impact of the fluctuation of the reaction time during the production process, and thus improve the production efficiency and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the steps of the method for extracting high-purity heparin sodium in the embodiment of the present application; Figure 2 It is a principle block diagram of the high-purity heparin sodium extraction system in the embodiment of the present application; Figure 3 It is a principle block diagram of the electronic device in the embodiment of the present application. DETAILED DESCRIPTION

[0018] The present invention is described in detail below in conjunction with specific embodiments.

[0019] The present application is further described in detail below in conjunction with the accompanying drawings.

[0020] like Figure 1 As shown, the present application discloses a method for extracting high-purity heparin sodium, comprising the following steps: S100: Acquire the equipment status data of each production equipment in real time, and perform fluctuation analysis on the working status of each production equipment according to the equipment status data to obtain production change data.

[0021] In an embodiment of the present application, the production equipment may be an enzymatic reactor or other equipment for extracting sodium heparin, including one or more extraction chambers, as well as functional modules such as a temperature control device and a stirring device, so that each raw material can fully react in the extraction chamber. Equipment status data refers to the working data of the reaction conditions inside the production equipment. Production change data refers to the data of the equipment status data under the reaction fluctuation condition within a preset period. Specifically, the reaction condition fluctuation of the corresponding production equipment is analyzed through the internal equipment status data of the production equipment, such as the reaction condition fluctuation includes temperature change, pressure change, pH value change, concentration change and stirring speed change, etc. When the reaction condition of the production equipment increases or decreases, the reaction fluctuation range of the current production equipment is analyzed to obtain the production change data corresponding to the equipment status data.

[0022] Specifically, in step S100, that is, the device status data of each production device is acquired in real time, and the fluctuation analysis of the working status of each production device is performed according to the device status data to obtain the production change data, including the following steps S110-S120: S110: extracting equipment type information, temperature information, pressure information, stirring rate information and reaction time information of the production equipment from the equipment status data.

[0023] In this embodiment, the equipment type information refers to the equipment type of the production equipment, the temperature information refers to the data of the temperature inside the production equipment, the pressure information refers to the data of the pressure inside the production equipment, the stirring rate information refers to the data of the speed and time of the stirring device in the production equipment, and the reaction time information refers to the time data of the raw material extraction reaction process of the production equipment. Specifically, the equipment status data can be obtained through a preset sensor, and the temperature information, pressure information, stirring rate information or reaction time information, etc. can be extracted from the equipment status data.

[0024] S120: performing fluctuation analysis on the temperature information, pressure information, stirring rate information and reaction time information of each production equipment respectively, and obtaining corresponding production change data within a preset period.

[0025] Specifically, fluctuation analysis is performed on the temperature information, pressure information, stirring rate information or reaction time information respectively. For example, when the temperature is 35°C at the beginning of monitoring, after a period of reaction stirring time, the temperature rises to 45°C. The temperature fluctuation during this period is monitored to obtain the temperature fluctuation change data, and then the corresponding production change data within the preset period is obtained.

[0026] S200: Compare and analyze the production change data and the equipment parameter thresholds of the production equipment to obtain a status analysis result; select the best equipment control parameters according to the status analysis result and output the equipment control instructions.

[0027] In this embodiment, the equipment parameter threshold refers to the set threshold for the best extraction reaction efficiency and stability of the production equipment. The equipment control instruction refers to the instruction for controlling and modifying the reaction conditions of the production equipment. The corresponding equipment parameter threshold is set according to the reactant feed amount of each production equipment, by comparing the production change data with the equipment parameter threshold of the production equipment, and selecting the equipment control parameter with the highest fit to the preset equipment parameter threshold from the comparison result, such as calculating that the temperature setting threshold interval temperature is closest to 40 ° C, so that the selected temperature is set as the best equipment control parameter, and output the equipment control instruction, including temperature, pressure, stirring speed and reaction time, etc.

[0028] It should be noted that there are many ways to set the device parameter threshold rules.

[0029] Optionally, in the debugging stage before the equipment is put into production, the equipment parameter threshold can be obtained by experiment. In an optional embodiment, before step S200, that is, before comparing and analyzing the production change data and the equipment parameter threshold of the production equipment to obtain the status analysis result, the method for determining the equipment parameter threshold includes S210a~S230a: S210a: Obtain necessary conditions for heparin sodium extraction reaction, and set an initial production threshold according to the necessary conditions.

[0030] Specifically, by setting an initial production threshold based on the necessary conditions for the sodium heparin extraction reaction, such as the necessary conditions including the reaction temperature, internal pressure, stirring speed and reaction time for the sodium heparin extraction, a sodium heparin production test is carried out by setting the initial reaction temperature and pressure range, as well as a preliminary set value for the stirring speed.

[0031] S220a: Perform test analysis according to the initial production threshold, and change the value of the production threshold to obtain test results under different production thresholds; analyze the test results to obtain test analysis results.

[0032] Specifically, during the experimental reaction, data from the reaction process is collected, and different conditions such as temperature, pressure and stirring speed are tested to obtain the yield and reaction rate of the reaction under different production thresholds, and the experimental results are analyzed.

[0033] S230a: Obtain the reactant feed amount of each feed inlet of the production equipment, and determine the set threshold value for the best test effect according to the reactant feed amount, the test result and the test analysis result, as the equipment parameter threshold value.

[0034] Specifically, by obtaining the reactant feed amount of each feed port, an increase in the amount of raw materials will lead to an increase in the reactant concentration in the extraction chamber, which may accelerate the reaction rate and increase the yield. However, too high a reactant concentration may also make the reaction difficult to control or cause side reactions. Therefore, the test results and analysis results mentioned above are combined to determine the best set thresholds for the test effect, such as extraction reaction temperature, reaction time, and pressure, which are used as equipment parameter thresholds.

[0035] Optionally, during the equipment operation and production stage, the equipment parameter threshold can be a dynamic value, which is dynamically set based on the production change data. That is, for different equipment parameters in the high-purity sodium heparin extraction system of the embodiment of the present application, it is necessary to determine the equipment parameter threshold by combining other equipment parameters that are correlated with the equipment parameters of the present equipment with the equipment parameters of the present equipment. In an optional embodiment, the production change data and the equipment parameter threshold of the production equipment are compared and analyzed, and before the state analysis results are obtained, the method for determining the equipment parameter threshold includes S210b~S230b: S210b: performing fitting processing according to preset weight coefficients and real-time working data of correlation factors of target parameters to obtain an initial dynamic threshold value of the target parameter; It should be noted that in the embodiment of the present application, the weight coefficient is set according to the relationship between the target parameter and the relevant indicators, and the initial dynamic threshold of the target parameter is determined by multi-variable regression fitting according to the preset weight coefficient. The multi-variable regression fitting method can be adopted, and the deep learning fitting construction can also be adopted to determine the initial dynamic threshold of the target parameter.

[0036] S220b: Determine the fluctuation tendency variable of the target parameter according to the historical data of the target parameter; The historical data of the target parameters is the parameter information of the target parameters when the system is running in the past time period, such as temperature, drive current and other historical data. According to the actual system operation, a suitable past time period can be selected for sampling to obtain the historical data of the target parameters, and the fluctuation tendency variable of the target parameters can be determined through the historical data of the target parameters.

[0037] S230b: Smoothing the initial dynamic threshold according to the fluctuation tendency variable of the target parameter to obtain the device parameter threshold of the target parameter.

[0038] In the embodiment of the present application, smoothing is performed using an initial dynamic threshold of a historical fluctuation tendency variable, and noise is removed by smoothing to retain the fluctuation trend.

[0039] Optionally, in another optional embodiment, the smoothing process can be completed by a multi-dimensional Gaussian filter. That is, before the production change data and the equipment parameter threshold of the production equipment are compared and analyzed to obtain the state analysis result, the method for determining the equipment parameter threshold includes S210c~S220c: S210c: determining a fluctuation tendency variable of the target parameter according to historical data of the target parameter; S220c: A method for determining a device parameter threshold of a target parameter based on the fluctuation tendency variable.

[0040] It should be noted that the target parameter of the embodiment of the present application is related to other indicators, and its changes can be reflected by its related indicators, namely, target-related factors, and a reasonable dynamic threshold value needs to be determined by the target-related factors. The method of steps S210c to S220c is adopted, and its dynamic threshold value indicates that the fluctuation range of this indicator only needs to not exceed the normal fluctuation range, so the fluctuation tendency variable of the target parameter determined by the historical data of the target parameter is determined.

[0041] The following description uses the agitator driving current of the production equipment - enzymatic reactor as an indicator of the target parameter.

[0042] The stirrer drive current index of the enzymatic reactor for high-purity heparin sodium extraction is correlated with the stirrer speed, the pressure difference in the extraction chamber, and the total feed volume. Therefore, when the target parameter threshold type is determined to be the device parameter threshold of the stirrer drive current, the following steps can be performed: When the target parameter is determined to be the dynamic threshold of the agitator drive current, the real-time working data of the associated factors of the target parameter are obtained, including the agitator speed feedback at the minute level, the extraction chamber pressure difference feedback and the total feed amount feedback. The initial dynamic threshold is determined by the preset weight coefficient and the real-time working data of the associated factors. The initial dynamic threshold is calculated by the following formula: ; in, Feedback on the stirrer speed in minutes. It is the minute-level feedback of the extraction chamber pressure difference. The total feed volume is fed back in minutes. , , and is the preset weight coefficient, zis the initial dynamic threshold of the agitator drive current. After the initial dynamic threshold of the agitator drive current is determined by the above formula, the initial dynamic threshold needs to be smoothed. That is, the initial dynamic threshold is the agitator drive current prediction line Line. The smoothing process in the embodiment of the present application can be completed by a multi-dimensional Gaussian filter. The Gaussian filter is mainly used to remove noise or smooth images, and the pixel mean in the filter window is taken as the output. Use convolution filtering to smooth and filter out noise while retaining the fluctuation trend. The Gaussian filter function used in the embodiment of the present application is as follows: ; in, x , z are the horizontal and vertical axis graphic coordinates, x For the time axis, z is the initial dynamic threshold, that is, the initial dynamic threshold prediction line Line, and the variance Calculated by the following formula: ; in, For the i The device parameter threshold corresponding to the historical data, j is the number of data, i For the i data, for z The historical data is the data parameters of the system running in the past period of time, which includes all the data parameters of the system in the past period of time, and can be debugged as needed in the code implementation .

[0043] The smoothing function used in the present application embodiment is as follows: .

[0044] After completing the above Gaussian filtering, through Perform smoothing processing based on historical fluctuation data. S Represents the standard deviation of the variance of the agitator drive current. After smoothing the historical data, the device parameter threshold of the agitator drive current can be obtained. S Obtained by the following formula: ; in, j is the number of data, i For the i data, Indicates i A historical fluctuation tendency variable is determined by the historical data of the agitator drive current. is the mean of the total historical data.

[0045] In the embodiment of the present application, after the smoothing process is completed, the target parameter device parameter threshold Line and some target related factors can be used to further adjust the target parameter device parameter threshold, such as setting the threshold distance d = absoluteValue [Preset distance], through d Adjust the device parameter threshold. That is, the adjusted device parameter threshold is: Line+ d .

[0046] When the target parameter is determined to be the device parameter threshold of the agitator drive current, the historical data of the agitator drive current is obtained, and the fluctuation tendency variable is obtained through the time series. (Also called fluctuation trend): cycle,trend= sm.tsa.filters.hpfilter ( OLine,60 ), OLine is the real-time fluctuation of the stirrer driving current over the past 30 minutes; the high-pass filter function ( HP filter )Separating a time series into trend and cycle factors can be done using the following formula: ;in, is the time series of historical data, t Indicates t indivual, For trend factors, is a periodic factor. After calculating the trend, the device parameter threshold of the agitator driving current is obtained through the calculated fluctuation tendency variable (i.e., fluctuation trend). and This can be confirmed based on the loss function, as follows: ; in, is the partial square difference , is the sensitivity coefficient, The bigger, The later the formula, the stronger the weight.

[0047] In step 200, after comparing and analyzing the production change data and the equipment parameter thresholds of the production equipment, the optimal equipment control parameters are selected based on the status analysis results and the equipment control instructions are output, including: when the equipment control parameters of the production equipment are outside the threshold setting error range in the equipment parameter threshold, the mean of the threshold setting error range is calculated, and the mean is used as the optimal equipment control parameter.

[0048] Specifically, assuming that the temperature of the equipment parameter threshold is set at 35±0.5°C, the error of 0.5°C is within the acceptable range. When the temperature information of the production equipment is outside the temperature parameter threshold interval in the equipment parameter threshold, such as when the temperature of a certain extraction chamber of the production equipment is lower than the range of 35±0.5°C, 35°C is used as the temperature equipment control parameter, thereby increasing the power of the heating device in the extraction chamber. For another example, assuming that the stirring speed of the equipment parameter threshold is set at 60±2rpm, the extraction reaction time is 4 hours, and then converted to 120rpm, the extraction reaction time is 2 hours. When the stirring rate information of the production equipment is outside the stirring threshold interval in the equipment parameter threshold, such as when the stirring speed of a certain production equipment of the production equipment is higher than 60±2rpm, the extraction reaction time will be less than 4 hours, affecting the quality of the finished product of heparin sodium production. Therefore, 60rpm is used as the stirring equipment control parameter, thereby reducing the stirring speed of the stirrer of the production equipment.

[0049] S300: Optimizing the control parameters of the corresponding production equipment according to the equipment control instructions, so as to control the corresponding production equipment to perform sodium heparin extraction production according to the optimal equipment control parameters.

[0050] Specifically, the control parameters of the production equipment are adjusted through the equipment control instructions, such as adjusting the temperature from 35°C to 40°C, so that the corresponding production equipment is controlled to perform extraction processing according to the optimized control parameters, thereby improving production efficiency. In step S300, that is, the control parameters of the corresponding production equipment are adjusted according to the equipment control instructions, so as to control the corresponding production equipment to perform heparin sodium extraction production processing according to the optimal equipment control parameters, including the following steps S310~S320: S310: Obtain the response time of the current production equipment under the equipment control parameters, and analyze the reaction adjustment range of the current production equipment according to the response time and the equipment control parameters.

[0051] Specifically, the response time of the current production equipment under the equipment control parameters is obtained, that is, the time when the reaction fluctuation of the extraction reaction of the production equipment reaches the equipment parameter threshold, and the reaction adjustment range of the current production equipment is analyzed according to the response time and the equipment control parameters. For example, if the set temperature parameter threshold of the extraction cabin of the current production equipment is 40°C, then when the temperature of the extraction cabin of the current production equipment reaches 40°C, the next production equipment is adjusted, that is, the reaction adjustment range of the current production equipment is the temperature fluctuation at 40°C, and so on. It should be noted that when the next production equipment is performing the extraction process, the current production equipment is also in normal working condition, and the two production equipment are performing production work at the same time.

[0052] S320: adjusting the control parameters of the corresponding production equipment according to the equipment control instruction, and when the reaction adjustment range reaches the equipment parameter threshold of the production equipment, adjusting the equipment control parameters of the next production equipment.

[0053] Specifically, by adjusting the control parameters of the production equipment according to the equipment control instructions, when the reaction adjustment range reaches the equipment parameter threshold of the production equipment, such as when the temperature of the current production equipment reaches 40°C detected by the preset temperature sensor, it means that the equipment parameter threshold of the current production equipment is reached, and then the control parameters of the next production equipment are adjusted. Specifically, the corresponding several production equipment are controlled to perform extraction processing, including controlling the temperature and reaction time of each production equipment, and controlling each production equipment in stages to perform processing according to the optimized control parameters.

[0054] It should be noted that in the embodiments of the present application, by collecting the equipment status data of the production equipment in real time and analyzing the data fluctuations corresponding to the equipment status data, the production change data caused by the change in the working data is obtained, which helps to accurately obtain the working data fluctuations caused by the raw material reaction of heparin sodium under the working state of the production equipment, and by comparing the production change data with the equipment parameter threshold of the production equipment, and outputting the equipment control instruction according to the comparison result, it helps to accurately adjust the equipment operation fluctuations of all production equipment, improve the efficiency and stability of the raw material reaction in the production equipment, adjust the control parameters of the production equipment according to the equipment control instruction, and control the corresponding several production equipment to perform extraction processing according to the optimized control parameters, so as to further improve the efficiency of production equipment adjustment production, optimize the reaction process under the condition of heparin sodium extraction reaction fluctuation, and thus improve the efficiency of heparin sodium production.

[0055] It is further explained that in the embodiments of the present application, the equipment parameter thresholds of each functional module of the production equipment are obtained, and the production setting data of each production equipment is adjusted according to the equipment parameter thresholds, which helps to set differentiated working values ​​in combination with the reactant feed amount, and compare the production change data with the equipment parameter thresholds. The optimal equipment control parameters are selected based on the comparison results, which helps to improve the adaptability between the equipment control parameters of the production equipment and the working fluctuations of the production equipment, control the current production equipment, and reduce the impact of equipment operation fluctuations.

[0056] Furthermore, in an embodiment of the present application, based on obtaining the reaction time of the current production equipment under the equipment control parameters, analyzing the reaction adjustment range of the current production equipment according to the reaction time of the raw materials in the production equipment and the equipment control parameters, it is helpful to analyze the extraction reaction of the current production equipment and improve the reaction adjustment accuracy under changes in the current equipment control parameters. By adjusting the control parameters of the production equipment according to the equipment control instructions, it is helpful to improve the reaction adjustment matching of the equipment control parameters to the current production equipment. When the reaction adjustment range reaches the equipment parameter threshold of the production equipment, the equipment control parameters of the next production equipment are adjusted so that the next production equipment adjusts the extraction reaction fluctuations, thereby improving the control accuracy of the reaction time of the next production equipment, and helping to orderly adjust the production equipment according to the equipment control parameters, reduce the impact of fluctuations in reaction time during the production process, and thereby improve production efficiency and stability.

[0057] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0058] The present application also provides a high-purity heparin sodium extraction system, which corresponds to the high-purity heparin sodium extraction method in the above embodiment. Figure 2 As shown, the high-purity heparin sodium extraction system 200 includes a data acquisition module 201, a parameter selection module 202 and a parameter control module 203. The detailed description of each functional module is as follows: The data acquisition module 201 is used to acquire the equipment status data of each production equipment in real time, and perform fluctuation analysis on the working status of each production equipment according to the equipment status data to obtain production change data; The parameter selection module 202 is used to compare and analyze the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results; select the best equipment control parameters according to the status analysis results and output the equipment control instructions; The parameter control module 203 is used to optimize the control parameters of the corresponding production equipment according to the equipment control instructions, so as to control the corresponding production equipment to perform heparin sodium extraction production processing according to the optimal equipment control parameters.

[0059] For the specific definition of the high-purity sodium heparin extraction system, please refer to the definition of the high-purity sodium heparin extraction method above, which will not be repeated here. Each module in the above-mentioned high-purity sodium heparin extraction system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the electronic device in the form of hardware, or can be stored in the memory of the electronic device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0060] An embodiment of the present application also provides an electronic device. Figure 3 The present invention provides a schematic diagram of the structure of an electronic device. Figure 3 As shown, the electronic device includes a processor 310 and a memory 320, wherein the memory 320 stores computer program instructions, and the computer program instructions are used by the processor 310 to execute the high-purity heparin sodium extraction method described in the above-mentioned application embodiment when the processor 310 is running.

[0061] An embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method for extracting high-purity heparin sodium are implemented.

[0062] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application may include non-volatile and / or volatile memory. Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the essence and scope of the technical solution of the present invention.

Claims

1. A method for extracting high-purity heparin sodium, characterized in that: The method comprises: Acquire the equipment status data of each production equipment in real time, and perform fluctuation analysis on the working status of each production equipment based on the equipment status data to obtain production change data; Compare and analyze the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results; select the best equipment control parameters based on the status analysis results and output equipment control instructions; The control parameters of the corresponding production equipment are optimized according to the equipment control instructions, so that the corresponding production equipment are controlled according to the optimal equipment control parameters to perform heparin sodium extraction production processing.

2. The method for extracting high-purity heparin sodium according to claim 1, characterized in that: The real-time acquisition of the equipment status data of each production equipment and the fluctuation analysis of the working status of each production equipment according to the equipment status data to obtain the production change data include: Extracting equipment type information, temperature information, pressure information, stirring rate information and reaction time information of the production equipment from the equipment status data; Fluctuation analysis is performed on the temperature information, pressure information, stirring rate information and reaction time information of each production equipment to obtain the corresponding production change data within the preset period.

3. The method for extracting high-purity heparin sodium according to claim 1, characterized in that: The method for determining the equipment parameter threshold value by comparing and analyzing the production change data and the equipment parameter threshold value of the production equipment to obtain the status analysis result includes: Obtaining necessary conditions for a heparin sodium extraction reaction, and setting an initial production threshold value according to the necessary conditions; Performing test analysis according to the initial production threshold, and changing the value of the production threshold to obtain test results under different production thresholds; analyzing the test results to obtain test analysis results; The reactant feed amount of each feed inlet of the production equipment is obtained, and the set threshold value for the best test effect is determined according to the reactant feed amount, the test result and the test analysis result, as the equipment parameter threshold value.

4. The method according to claim 3, characterized in that The method for determining the equipment parameter threshold value by comparing and analyzing the production change data and the equipment parameter threshold value of the production equipment to obtain the status analysis result includes: Perform fitting processing based on the preset weight coefficient and the real-time working data of the correlation factors of the target parameter to obtain the initial dynamic threshold value of the target parameter; Determine the fluctuation tendency variable of the target parameter based on the historical data of the target parameter; The initial dynamic threshold is smoothed according to the fluctuation tendency variable of the target parameter to obtain the device parameter threshold of the target parameter.

5. The method according to claim 3, characterized in that: The method for determining the equipment parameter threshold value by comparing and analyzing the production change data and the equipment parameter threshold value of the production equipment to obtain the status analysis result includes: Determine the fluctuation tendency variable of the target parameter based on the historical data of the target parameter; A method for determining a device parameter threshold value of a target parameter according to the fluctuation tendency variable.

6. The method for extracting high-purity heparin sodium according to claim 1, characterized in that: The method of selecting the best device control parameters according to the state analysis results and outputting device control instructions includes: When the equipment control parameter of the production equipment is outside the threshold setting error range in the equipment parameter threshold, the mean of the threshold setting error range is calculated and the mean is used as the optimal equipment control parameter.

7. The method for extracting high-purity heparin sodium according to claim 1, characterized in that: The control parameter adjustment process is performed on the corresponding production equipment according to the equipment control instruction, so as to control the corresponding several production equipment to perform the heparin sodium extraction production process according to the optimal equipment control parameters, including: Obtain the response time of the current production equipment under the equipment control parameters, and analyze the reaction adjustment range of the current production equipment according to the response time and the equipment control parameters; According to the equipment control instruction, the control parameters of the corresponding production equipment are adjusted. When the reaction adjustment range reaches the equipment parameter threshold of the production equipment, the equipment control parameters of the next production equipment are adjusted.

8. A high-purity heparin sodium extraction system, characterized in that: The high-purity heparin sodium extraction system comprises: The data acquisition module is used to acquire the equipment status data of each production equipment in real time, and perform fluctuation analysis on the working status of each production equipment according to the equipment status data to obtain production change data; The parameter selection module is used to compare and analyze the production change data and the equipment parameter thresholds of the production equipment to obtain the status analysis results; based on the status analysis results, the optimal equipment control parameters are selected and the equipment control instructions are output; The parameter control module is used to optimize the control parameters of the corresponding production equipment according to the equipment control instructions, so as to control the corresponding several production equipment to perform heparin sodium extraction production processing according to the optimal equipment control parameters.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for extracting high-purity heparin sodium according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for extracting high-purity heparin sodium according to any one of claims 1 to 7 are implemented.

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