Intelligent monitoring system for heat exchange in biopharmaceutical process

Abstract

The invention relates to the technical field of biopharmacy heat exchange, and discloses an intelligent monitoring system for heat exchange in a biopharmacy process, which comprises a data acquisition module, a data processing module, a data analysis module, an early warning module and an adjusting module. According to the intelligent monitoring system for heat exchange in the biopharmaceutical process, intelligent process monitoring is achieved by collecting, processing and analyzing data in real time and adjusting various parameter values in the heat exchanger process, meanwhile, automatic adjustment is achieved through data analysis, the automation level of the production process is improved, and the production efficiency is improved. Meanwhile, in the production process, manual intervention and operation are reduced through automatic monitoring, the high requirements of modern biopharmacy for accuracy and real-time performance are met, real-time data collection and transmission are achieved through high-precision and multifunctional temperature, flow and pressure sensors, and the production efficiency is improved. The timeliness and accuracy of data are ensured, and personal errors are avoided.

Description

Technical Field

[0001] The invention relates to the technical field of biopharmaceutical heat exchange, in particular to an intelligent monitoring system for heat exchange in a biopharmaceutical process. Background Art

[0002] The biopharmaceutical industry is a rapidly developing branch of the pharmaceutical field, which mainly relies on biotechnology and molecular biology methods to develop new drugs. Compared with traditional pharmaceuticals, the production process of biopharmaceuticals usually involves more complex biological reactions and preparation processes, such as fermentation, extraction, purification, etc. These processes have extremely high requirements for production conditions, especially the control of process parameters such as temperature, pressure and flow rate;

[0003] In the biopharmaceutical process, heat exchange is a key process that involves removing excess heat from the reaction system or adding heat to the system to maintain a suitable reaction temperature. As the most common heat exchange equipment, heat exchangers transfer energy between two fluids through conduction, convection, etc., which is of great significance for ensuring the stability of the reaction and improving the quality of the product.

[0004] The monitoring of heat exchange in the biopharmaceutical process usually relies on manual measurement and manual control. The performance of the temperature, flow and pressure sensors used is relatively simple, resulting in low efficiency in real-time data collection and processing. This method has problems such as long response time, poor data real-time performance, and easy to produce human errors. It cannot meet the high requirements of modern biopharmaceuticals for accuracy and real-time performance, and increases the management cost and risk in the production process. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the shortcomings of the prior art, the present invention provides an intelligent monitoring system for heat exchange in the biopharmaceutical process, which uses automated monitoring to reduce manual intervention and operation, meets the high requirements of modern biopharmaceuticals for accuracy and real-time performance, and adopts high-precision, multi-functional temperature, flow and pressure sensors to achieve real-time data collection and transmission, ensure the timeliness and accuracy of data, avoid the advantages of human errors, and solve the problems of long response time, poor data real-time performance, and easy occurrence of human errors.

[0007] (II) Technical solution

[0008] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent monitoring system for heat exchange in a biopharmaceutical process, comprising a data acquisition module, a data processing module, a data analysis module, an early warning module and a regulation module;

[0009] The data acquisition module includes a temperature data acquisition unit, a flow data acquisition unit and a pressure data acquisition unit. The temperature data acquisition unit is used to acquire a real-time temperature value WDz inside the heat exchanger, and form a real-time temperature data set with the acquired multiple real-time temperature values ​​WDz. The flow data acquisition module is used to acquire a real-time flow value LLz inside the heat exchanger, and form a real-time flow data set with the acquired multiple real-time flow values ​​LLz. The pressure data acquisition unit is used to acquire a real-time pressure value YLz inside the heat exchanger, and form a real-time pressure data set with the acquired real-time pressure value YLz. The data acquisition module sends these data sets to the data processing module through the network.

[0010] The data processing module calculates the temperature impact index WDsz, the flow impact index LLsz and the pressure impact index YLsz according to the real-time temperature data set, the real-time flow data set and the real-time pressure data set, and sends the data to the data analysis module through the network;

[0011] The data analysis module calculates the temperature difference WDc according to the temperature influence index WDsz, calculates the flow difference LLc according to the flow influence index LLsz, and calculates the pressure difference YLc according to the pressure influence index YLsz. The data analysis module sends the temperature difference WDc, the flow difference LLc and the pressure difference YLc to the early warning module through the network;

[0012] The early warning module issues an alarm according to the abnormal signal and sends a signal to the adjustment module at the same time;

[0013] Therefore, the regulating module includes a temperature regulating unit, a flow regulating unit and a pressure regulating unit. The temperature regulating unit is connected to a temperature regulating device through a network to adjust the temperature according to the temperature difference WDc. The flow regulating unit is connected to a valve through a network to adjust the opening according to the flow difference LLc. The pressure regulating unit is connected to a centrifugal pump through a network to adjust the flow rate according to the pressure difference YLc. The regulating module is automatically adjusted according to the corresponding regulating signal.

[0014] Preferably, the real-time temperature data set expression is {WDz1, WDz2, ..., WDz N}, the real-time traffic data set expression is {LLz1, LLz2, ..., LLz N}, the real-time pressure data set expression is {YLz1, YLz2, ..., YLz N}, the number of data in each data set is the same, the collection period is the same, the time interval between each data is the same, and the subscript in each data set indicates that there are N data in each data set.

[0015] Preferably, the algorithm formula of the temperature influence index WDsz is as follows:

[0016]

[0017] In the above formula, WDz1+WDz2+…+WDz N Represents the sum of all temperature values ​​in the real-time temperature data set, WDz max Represents the highest temperature in the real-time temperature dataset, WDz min Represents the lowest temperature in the real-time temperature dataset, WDz max -WDz min It represents the difference between the highest temperature and the lowest temperature in the real-time temperature data set. The temperature influence index WDsz is calculated by dividing the sum of all temperature values ​​in the real-time temperature data set by the difference between the highest temperature and the lowest temperature in the real-time temperature data set.

[0018] Preferably, the algorithm formula of the flow impact index LLsz is as follows:

[0019]

[0020] In the above formula, LLz1+LLz2+…+LLz N Represents the sum of all traffic values ​​in the real-time traffic data set, LLz max Represents the highest flow in the real-time traffic dataset, LLz min Represents the lowest flow in the real-time traffic dataset, LLz max -LLz min It represents the difference between the highest flow and the lowest flow in the real-time flow data set. The flow impact index LLsz is calculated by dividing the sum of all flow values ​​in the real-time flow data set by the difference between the highest flow and the lowest flow in the real-time flow data set.

[0021] Preferably, the algorithm formula of the pressure influence index YLsz is as follows:

[0022]

[0023] In the above formula, YLz1+YLz2+…+YLz N Represents the sum of all pressure values ​​in the real-time pressure data set, YLz max Represents the highest pressure value in the real-time pressure data set, YLz min Represents the lowest pressure value in the real-time pressure data set, YLz max -YLz min Represents the difference between the highest pressure value and the lowest pressure value in the real-time pressure data set. The pressure impact index YLsz is calculated based on the sum of all pressure values ​​in the real-time pressure data set divided by the difference between the highest pressure value and the lowest pressure value in the real-time pressure data set.

[0024] Preferably, the algorithm formula of the temperature difference WDc is as follows:

[0025] WDc=WD bz -WDsz

[0026] In the above formula, WD bz Represents the temperature standard value. According to the temperature standard value WD bz Subtract the temperature influence index WDsz and calculate the temperature difference WDc;

[0027] The algorithm formula of the flow difference LLc is as follows:

[0028] LLc=LL bz -LLsz

[0029] In the above formula, LL bz Represents the standard flow value, according to the standard flow value LL bz Subtract the flow impact index LLsz and calculate the flow difference LLc;

[0030] The algorithm formula of the pressure difference YLc is as follows:

[0031] YLc=YL bz -YLsz

[0032] In the above formula, YL bz Represents the standard value of pressure. According to the standard value of pressure YL bz Subtract the pressure influence index YLsz and calculate the pressure difference YLc.

[0033] Preferably, the early warning module is composed of a visual alarm and an audible alarm. The visual alarm sends out an early warning signal through a network-connected display screen, and the visual alarm sends out an audible warning through a network-connected buzzer. In the event of data abnormality, the visual alarm and the audible alarm send out early warnings at the same time.

[0034] Preferably, when the temperature difference WDc is a positive number, it means that the internal temperature of the heat exchanger is higher than the temperature standard value, and an early warning is issued and a signal is sent to the adjustment module to lower the temperature, and the system automatically shuts down after reaching the standard value. If the temperature difference WDc is a negative number, it means that the internal temperature of the heat exchanger is lower than the temperature standard value, and an early warning is issued and a signal is sent to the adjustment module to increase the temperature, and the system automatically shuts down after reaching the standard value.

[0035] Preferably, when the flow difference LLc is a positive number, it means that the internal flow of the heat exchanger is higher than the flow standard value, and an early warning is issued and a signal is sent to the regulating module to fully open the valve, and the valve automatically closes after reaching the standard value. When the flow difference LLc is a negative number, it means that the internal flow of the heat exchanger is lower than the flow standard value, and an early warning is issued and a signal is sent to the regulating module to close the valve, and the valve automatically closes after reaching the standard value.

[0036] Preferably, when the pressure difference YLc is a positive number, it means that the internal pressure of the heat exchanger increases, and an early warning is issued and a signal is sent to the regulating module to reduce the pump flow rate, and the pump automatically closes after reaching the standard value. When the pressure difference YLc is a negative number, it means that the internal pressure of the heat exchanger decreases, and an early warning is issued and a signal is sent to the regulating module to reduce the pump flow rate, and the pump automatically closes after reaching the standard value.

[0037] Compared with the prior art, the present invention provides an intelligent monitoring system for heat exchange in the biopharmaceutical process, which has the following beneficial effects:

[0038] 1. The present invention realizes intelligent process monitoring through real-time data collection, processing, analysis and adjustment of various parameter values ​​in the heat exchanger process. By adopting high-precision sensors and advanced communication technology, the system can realize continuous monitoring of temperature, flow and pressure, and realize automatic adjustment through data analysis, which not only improves the automation level of the production process, but also provides a solid foundation for subsequent data analysis and adjustment. At the same time, in the production process, the use of automatic monitoring to reduce manual intervention and operation can effectively reduce the risks caused by human errors and meet the high requirements of modern biopharmaceuticals for accuracy and real-time performance.

[0039] 2. The present invention can improve the accuracy and real-time performance of intelligent monitoring by using real-time data for monitoring in the biopharmaceutical process. It adopts high-precision and multifunctional temperature, flow and pressure sensors to realize real-time data collection and transmission, ensure the timeliness and accuracy of data, avoid human errors, and utilize data processing and analysis to identify and prevent potential risks, reduce management risks in the production process, and reduce manual operations through automated adjustment, thereby reducing risks and labor costs and improving management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 , an intelligent monitoring system for heat exchange in a biopharmaceutical process, comprising a data acquisition module, a data processing module, a data analysis module, an early warning module and a regulation module;

[0043] The data acquisition module includes a temperature data acquisition unit, a flow data acquisition unit and a pressure data acquisition unit. The temperature data acquisition unit is used to acquire the real-time temperature value WDz inside the heat exchanger, and form a real-time temperature data set with the acquired multiple real-time temperature values ​​WDz. The flow data acquisition module is used to acquire the real-time flow value LLz inside the heat exchanger, and form a real-time flow data set with the acquired multiple real-time flow values ​​LLz. The pressure data acquisition unit is used to acquire the real-time pressure value YLz inside the heat exchanger, and form a real-time pressure data set with the acquired real-time pressure value YLz. The data acquisition module sends these data sets to the data processing module through the network.

[0044] The real-time temperature data set expression is {WDz1, WDz2, …, WDz N};

[0045] The expression of real-time traffic data set is {LLz1, LLz2, …, LLz N};

[0046] The real-time pressure data set expression is {YLz1, YLz2, …, YLz N};

[0047] The number of data in each data set is the same, the collection period is the same, and the time of each data interval is the same. The subscript in each data set indicates that there are N data in each data set. Among them, the same number of data, the same collection period, and the same time of each data interval in the data set can ensure the consistency of the data, which is conducive to subsequent processing and analysis. At the same time, no additional data alignment processing is required, thereby simplifying data processing.

[0048] Real-time acquisition of temperature data enables relevant personnel to quickly identify abnormal situations, such as temperature increases or decreases, so that timely measures can be taken to avoid potential safety hazards or product quality issues. Real-time flow data helps monitor the operating status of valves. Real-time flow data monitoring can significantly improve the control accuracy of the production process, ensure the consistency and compliance of product quality, and reduce production risks and costs. Real-time monitoring of pressure can promptly detect abnormal pressure signals in the system or equipment, so as to take adjustment measures in advance, avoid the occurrence of safety accidents, and ensure the long-term stable operation of the equipment.

[0049] Intelligent process monitoring is achieved through real-time data collection, processing, analysis and adjustment of various parameter values ​​in the heat exchanger process. By using high-precision sensors and advanced communication technology, the system can realize continuous monitoring of temperature, flow and pressure, and realize automatic adjustment through data analysis. It not only improves the automation level of the production process, but also provides a solid foundation for subsequent data analysis and adjustment. At the same time, in the production process, the use of automated monitoring to reduce manual intervention and operation can effectively reduce the risks caused by human errors and meet the high requirements of modern biopharmaceuticals for accuracy and real-time performance.

[0050] The data analysis module calculates the temperature difference WDc according to the temperature influence index WDsz, calculates the flow difference LLc according to the flow influence index LLsz, and calculates the pressure difference YLc according to the pressure influence index YLsz. The data analysis module sends the temperature difference WDc, the flow difference LLc, and the pressure difference YLc to the early warning module through the network;

[0051] The algorithm formula of temperature influence index WDsz is as follows:

[0052]

[0053] In the above formula, WDz1+WDz2+…+WDz N Represents the sum of all temperature values ​​in the real-time temperature data set, WDz max Represents the highest temperature in the real-time temperature dataset, WDz min Represents the lowest temperature in the real-time temperature dataset, WDz max -WDz min Represents the difference between the highest temperature and the lowest temperature in the real-time temperature data set. The temperature influence index WDsz is calculated by dividing the sum of all temperature values ​​in the real-time temperature data set by the difference between the highest temperature and the lowest temperature in the real-time temperature data set.

[0054] The algorithm formula of the traffic impact index LLsz is as follows:

[0055]

[0056] In the above formula, LLz1+LLz2+…+LLz N Represents the sum of all traffic values ​​in the real-time traffic data set, LLz max Represents the highest flow in the real-time traffic dataset, LLz min Represents the lowest flow in the real-time traffic dataset, LLz max -LLz min Represents the difference between the highest flow and the lowest flow in the real-time flow data set. The flow impact index LLsz is calculated by dividing the sum of all flow values ​​in the real-time flow data set by the difference between the highest flow and the lowest flow in the real-time flow data set.

[0057] The algorithm formula of pressure impact index YLsz is as follows:

[0058]

[0059] In the above formula, YLz1+YLz2+…+YLz N Represents the sum of all pressure values ​​in the real-time pressure data set, YLz max Represents the highest pressure value in the real-time pressure data set, YLz min Represents the lowest pressure value in the real-time pressure data set, YLz max -YLz min Represents the difference between the highest pressure value and the lowest pressure value in the real-time pressure data set. The pressure influence index YLsz is calculated by dividing the sum of all pressure values ​​in the real-time pressure data set by the difference between the highest pressure value and the lowest pressure value in the real-time pressure data set.

[0060] The algorithm formula for temperature difference WDc is as follows:

[0061] WDc=WD bz -WDsz

[0062] In the above formula, WD bz Represents the temperature standard value. According to the temperature standard value WD bz Subtract the temperature influence index WDsz and calculate the temperature difference WDc;

[0063] The algorithm formula of flow difference LLc is as follows:

[0064] LLc=LL bz -LLsz

[0065] In the above formula, LL bz Represents the standard flow value, according to the standard flow value LL bz Subtract the flow impact index LLsz and calculate the flow difference LLc;

[0066] The algorithm formula for the pressure difference YLc is as follows:

[0067] YLc=YL bz -YLsz

[0068] In the above formula, YL bz Represents the standard value of pressure. According to the standard value of pressure YL bz Subtract the pressure influence index YLsz and calculate the pressure difference YLC.

[0069] The early warning module issues an alarm based on the abnormal signal and sends a signal to the adjustment module;

[0070] Therefore, the regulating module includes a temperature regulating unit, a flow regulating unit and a pressure regulating unit. The temperature regulating unit is connected to the temperature regulating device through the network to adjust the temperature according to the temperature difference WDc. The flow regulating unit is connected to the valve through the network to adjust the opening according to the flow difference LLc. The pressure regulating unit is connected to the centrifugal pump through the network to adjust the flow rate according to the pressure difference YLc. The regulating module is automatically adjusted according to the corresponding regulating signal;

[0071] When the temperature difference WDc is a positive number, it means that the internal temperature of the heat exchanger is higher than the temperature standard value. An early warning is issued and a signal is sent to the adjustment module to lower the temperature. The temperature is automatically turned off after reaching the standard value. If the temperature difference WDc is a negative number, it means that the internal temperature of the heat exchanger is lower than the temperature standard value. An early warning is issued and a signal is sent to the adjustment module to increase the temperature. The temperature is automatically turned off after reaching the standard value.

[0072] When the flow difference LLc is a positive number, it means that the flow inside the heat exchanger is higher than the standard flow value, and an early warning is issued and a signal is sent to the regulating module to fully open the valve, and the valve automatically closes after reaching the standard value. When the flow difference LLc is a negative number, it means that the flow inside the heat exchanger is lower than the standard flow value, and an early warning is issued and a signal is sent to the regulating module to close the valve, and the valve automatically closes after reaching the standard value.

[0073] When the pressure difference YLc is a positive number, it means that the internal pressure of the heat exchanger increases. An early warning is issued and a signal is sent to the regulating module to reduce the pump flow rate. The pump will automatically shut down after reaching the standard value. When the pressure difference YLc is a negative number, it means that the internal pressure of the heat exchanger decreases. An early warning is issued and a signal is sent to the regulating module to reduce the pump flow rate. The pump will automatically shut down after reaching the standard value.

[0074] By using real-time data for monitoring in the biopharmaceutical process, the accuracy and real-time performance of intelligent monitoring can be improved. By using high-precision, multifunctional temperature, flow and pressure sensors, real-time data collection and transmission can be achieved to ensure the timeliness and accuracy of data and avoid human errors. By using data processing and analysis, potential risks can be identified and prevented, and management risks in the production process can be reduced. By using automated adjustments and reducing manual operations, risks and labor costs can be reduced, and management efficiency can be improved.

[0075] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent monitoring system for heat exchange in a biopharmaceutical process, characterized by: It includes data collection module, data processing module, data analysis module, early warning module and adjustment module; The data acquisition module includes a temperature data acquisition unit, a flow data acquisition unit and a pressure data acquisition unit. The temperature data acquisition unit is used to acquire a real-time temperature value WDz inside the heat exchanger, and form a real-time temperature data set with the acquired multiple real-time temperature values ​​WDz. The flow data acquisition module is used to acquire a real-time flow value LLz inside the heat exchanger, and form a real-time flow data set with the acquired multiple real-time flow values ​​LLz. The pressure data acquisition unit is used to acquire a real-time pressure value YLz inside the heat exchanger, and form a real-time pressure data set with the acquired real-time pressure value YLz. The data acquisition module sends these data sets to the data processing module through the network. The data processing module calculates the temperature impact index WDsz, the flow impact index LLsz and the pressure impact index YLsz according to the real-time temperature data set, the real-time flow data set and the real-time pressure data set, and sends the data to the data analysis module through the network; The data analysis module calculates the temperature difference WDc according to the temperature influence index WDsz, calculates the flow difference LLc according to the flow influence index LLsz, and calculates the pressure difference YLc according to the pressure influence index YLsz. The data analysis module sends the temperature difference WDc, the flow difference LLc and the pressure difference YLc to the early warning module through the network; The early warning module issues an alarm according to the abnormal signal and sends a signal to the adjustment module at the same time; Therefore, the regulating module includes a temperature regulating unit, a flow regulating unit and a pressure regulating unit. The temperature regulating unit is connected to a temperature regulating device through a network to adjust the temperature according to the temperature difference WDc. The flow regulating unit is connected to a valve through a network to adjust the opening according to the flow difference LLc. The pressure regulating unit is connected to a centrifugal pump through a network to adjust the flow rate according to the pressure difference YLc. The regulating module is automatically adjusted according to the corresponding regulating signal.

2. The intelligent monitoring system for heat exchange in the biopharmaceutical process according to claim 1, characterized in that: The real-time temperature data set expression is {WDz1, WDz2, ..., WDz N }, the real-time traffic data set expression is {LLz1, LLz2, ..., LLz N }, the real-time pressure data set expression is {YLz1, YLz2, ..., YLz N }, the number of data in each data set is the same, the collection period is the same, the time interval between each data is the same, and the subscript in each data set indicates that there are N data in each data set.

3. The intelligent monitoring system for heat exchange in the biopharmaceutical process according to claim 2 is characterized by: The algorithm formula of the temperature influence index WDsz is as follows: In the above formula, WDz1+WDz2+…+WDz N Represents the sum of all temperature values ​​in the real-time temperature data set, WDz max Represents the highest temperature in the real-time temperature dataset, WDz min Represents the lowest temperature in the real-time temperature dataset, WDz max -WDz min It represents the difference between the highest temperature and the lowest temperature in the real-time temperature data set. The temperature influence index WDsz is calculated by dividing the sum of all temperature values ​​in the real-time temperature data set by the difference between the highest temperature and the lowest temperature in the real-time temperature data set.

4. The intelligent monitoring system for heat exchange in the biopharmaceutical process according to claim 3 is characterized by: The algorithm formula of the traffic impact index LLsz is as follows: In the above formula, LLz1+LLz2+…+LLz N Represents the sum of all traffic values ​​in the real-time traffic data set, LLz max Represents the highest flow in the real-time traffic dataset, LLz min Represents the lowest flow in the real-time traffic dataset, LLz max -LLz min It represents the difference between the highest flow and the lowest flow in the real-time flow data set. The flow impact index LLsz is calculated by dividing the sum of all flow values ​​in the real-time flow data set by the difference between the highest flow and the lowest flow in the real-time flow data set.

5. The intelligent monitoring system for heat exchange in a biopharmaceutical process according to claim 4, characterized in that: The algorithm formula of the pressure influence index YLsz is as follows: In the above formula, YLz1+YLz2+…+YLz N Represents the sum of all pressure values ​​in the real-time pressure data set, YLz max Represents the highest pressure value in the real-time pressure data set, YLz min Represents the lowest pressure value in the real-time pressure data set, YLz max -YLz min Represents the difference between the highest pressure value and the lowest pressure value in the real-time pressure data set. The pressure impact index YLsz is calculated based on the sum of all pressure values ​​in the real-time pressure data set divided by the difference between the highest pressure value and the lowest pressure value in the real-time pressure data set.

6. The intelligent monitoring system for heat exchange in the biopharmaceutical process according to claim 5, characterized in that: The algorithm formula of the temperature difference WDc is as follows: WDc=WD bz -WDsz In the above formula, WD bz Represents the temperature standard value. According to the temperature standard value WD bz Subtract the temperature influence index WDsz and calculate the temperature difference WDc; The algorithm formula of the flow difference LLc is as follows: LLc=LL bz -LLsz In the above formula, LL bz Represents the standard flow value, according to the standard flow value LL bz Subtract the flow impact index LLsz and calculate the flow difference LLc; The algorithm formula of the pressure difference YLc is as follows: YLc=YL bz -YLsz In the above formula, YL bz Represents the standard value of pressure. According to the standard value of pressure YL bz Subtract the pressure influence index YLsz and calculate the pressure difference YLc.

7. The intelligent monitoring system for heat exchange in the biopharmaceutical process according to claim 6, characterized in that: The early warning module is composed of a visual alarm and an audible alarm. The visual alarm sends out an early warning signal through a network connection display screen, and the visual alarm sends out an audible early warning through a network connection buzzer. In the event of data abnormality, the visual alarm and the audible alarm send out early warnings at the same time.

8. The intelligent monitoring system for heat exchange in a biopharmaceutical process according to claim 7, characterized in that: When the temperature difference WDc is a positive number, it means that the internal temperature of the heat exchanger is higher than the temperature standard value. An early warning is issued and a signal is sent to the adjustment module to lower the temperature. The device automatically shuts down after reaching the standard value. If the temperature difference WDc is a negative number, it means that the internal temperature of the heat exchanger is lower than the temperature standard value. An early warning is issued and a signal is sent to the adjustment module to increase the temperature. The device automatically shuts down after reaching the standard value.

9. The intelligent monitoring system for heat exchange in the biopharmaceutical process according to claim 8, characterized in that: When the flow difference LLc is a positive number, it means that the internal flow of the heat exchanger is higher than the flow standard value. An early warning is issued and a signal is sent to the regulating module to fully open the valve, and the valve automatically closes after reaching the standard value. When the flow difference LLc is a negative number, it means that the internal flow of the heat exchanger is lower than the flow standard value. An early warning is issued and a signal is sent to the regulating module to close the valve, and the valve automatically closes after reaching the standard value.

10. The intelligent monitoring system for heat exchange in the biopharmaceutical process according to claim 9, characterized in that: When the pressure difference YLc is a positive number, it means that the internal pressure of the heat exchanger increases. An early warning is issued and a signal is sent to the regulating module to reduce the pump flow rate. The pump automatically closes after reaching the standard value. When the pressure difference YLc is a negative number, it means that the internal pressure of the heat exchanger decreases. An early warning is issued and a signal is sent to the regulating module to reduce the pump flow rate. The pump automatically closes after reaching the standard value.

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