Sealing compensation and intelligent cooling system of zero-leakage chemical process pump

Abstract

The invention discloses a sealing compensation and intelligent cooling system of a zero-leakage chemical process pump, and particularly relates to the technical field of chemical process pumps, which comprises a chemical process pump system starting module, an intelligent control module, a temperature detection and liquid speed control module, a temperature monitoring and judging module and a continuous monitoring and dynamic adjusting module, before the temperature monitoring and judging module transmits a monitoring result to the continuous monitoring and dynamic adjusting module, a temperature abnormity judging link, a shutdown preparation module, a temperature monitoring and shutdown confirmation module and a system closing module are arranged; a cooling adjusting algorithm based on the fuzzy PID control principle is adopted in the system, and the flow speed of cooling liquid can be adjusted in real time according to the actual temperature change of a pump body; compared with a traditional fixed flow cooling mode, the algorithm can control the cooling effect more accurately, energy waste caused by overcooling is avoided, meanwhile, it is ensured that the temperature of the pump body is always within the safety range, the cooling efficiency is improved, and the operation cost is reduced.

Description

Technical Field

[0001] This invention relates to the field of chemical process pump technology, and more specifically, to a sealing compensation and intelligent cooling system for zero-leakage chemical process pumps. Background Technology

[0002] In chemical production processes, chemical process pumps are key equipment, and their operational stability directly affects the safety and efficiency of the entire production process. However, during operation, the temperature of various parts of the pump body gradually increases due to factors such as friction and compression of the internal medium and the influence of the external environment. Excessive temperature not only leads to aging and deformation of seals, resulting in seal failure, chemical medium leakage, environmental pollution, and safety hazards, but also affects the pump's performance and lifespan, increasing equipment maintenance costs and downtime.

[0003] Traditional chemical process pump cooling systems mostly use a fixed flow rate cooling method, which cannot dynamically adjust the cooling liquid flow rate according to the actual temperature changes of the pump body, resulting in poor cooling effect and serious energy waste. At the same time, in terms of sealing, there is a lack of effective real-time monitoring and dynamic compensation mechanisms, making it difficult to cope with changes in sealing gaps caused by temperature rise and failing to ensure zero-leakage operation of the pump. To address this, we propose a zero-leakage chemical process pump sealing compensation and intelligent cooling system. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a sealing compensation and intelligent cooling system for zero-leakage chemical process pumps to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a seal compensation and intelligent cooling system for a zero-leakage chemical process pump, comprising: The chemical process pump system startup module, as the core of the entire system startup, is used to receive external startup commands and initialize each sub-module; The intelligent control module receives the start signal from the chemical process pump system start module and acts as the control center of the system, responsible for receiving and processing data and instructions from each sub-module. After the intelligent control module establishes a communication link, the temperature detection and liquid speed control module responds to the connection request and completes the connection with the intelligent control module. It is used to detect the temperature and flow rate of the cooling liquid in real time and adjust the cooling liquid flow rate as needed. The temperature monitoring and judgment module receives temperature data from the temperature detection and liquid speed control module, and communicates with the intelligent control module to continuously monitor the temperature of various parts of the pump body and compare it with preset thresholds for judgment. The continuous monitoring and dynamic adjustment module receives monitoring results from the temperature monitoring and judgment module and adjustment instructions from the intelligent control module, and is used to continuously monitor the system status and make dynamic adjustments. Before the temperature monitoring and judgment module transmits the monitoring results to the continuous monitoring and dynamic adjustment module, a temperature anomaly judgment step is set up: the intelligent control module receives the monitoring results from the temperature monitoring and judgment module. When it is determined that the temperature of all parts of the pump body is normal and does not exceed the preset threshold, it continues to maintain the current operating state; when it is determined that the temperature of a certain part of the pump body exceeds the preset threshold, the intelligent control module sends a command to the temperature detection and liquid speed control module to start the cooling adjustment process, adjust the cooling liquid flow rate to reduce the temperature, and at the same time, the intelligent control module issues a corresponding command according to the preset sealing compensation strategy to perform sealing compensation operation. The shutdown preparation module receives shutdown commands from the intelligent control module and performs pre-shutdown preparations upon receiving the shutdown command. The temperature monitoring and shutdown confirmation module receives signals and temperature detection data from the shutdown preparation module, and communicates with the intelligent control module to continuously monitor the pump body temperature during the shutdown process and confirm whether the shutdown conditions are met. The system shutdown module receives a shutdown completion signal from the temperature monitoring and shutdown confirmation module, and communicates with the intelligent control module. It serves as the final shutdown stage of the system and is responsible for completing all operation records and data processing.

[0006] Preferably, the intelligent control module calculates the required flow rate adjustment based on a preset cooling adjustment algorithm, combined with the current cooling liquid flow rate and temperature deviation; and adjusts the PID parameters in real time using a fuzzy PID controller, the PID parameters including the proportional coefficient. Integral coefficient Differential coefficients ; The formula for calculating the PID parameters for adjusting a fuzzy PID controller is as follows:

[0007]

[0008]

[0009] in, , , The initial PID parameters can be adjusted based on experience and experimentation, for example, set to 0.08, 0.005, and 0.40 respectively; Δ Δ Δ The output of fuzzy control automatically adjusts the values ​​of the three control parameters of the PID controller based on the state of the controlled object. , , These represent the proportional coefficient, integral coefficient, and derivative coefficient after adjustment by the fuzzy controller. The dynamic correction values ​​of the PID parameters are adjusted by the PID controller to improve the control performance of the system under different operating conditions.

[0010] Preferably, the intelligent control module sends a command to the temperature detection and liquid speed control module based on the calculated flow rate adjustment amount, in order to adjust the flow rate of the cooling liquid; the temperature detection and liquid speed control module responds to the command to control the flow rate of the cooling liquid.

[0011] Preferably, the sealing compensation device uses a displacement sensor to detect the sealing gap G at the overheated area in real time, obtaining the specific value of the current sealing gap; based on a preset sealing compensation parameter table, combined with the current sealing gap value G and temperature data T, the required sealing compensation amount ΔG is determined; assuming the sealing compensation parameter table is a simple linear relationship table, the relationship between the sealing compensation amount ΔG and the temperature T and the sealing gap G can be expressed as: ΔG = a·T + b·G + c Where a, b, and c are constants.

[0012] Preferably, the sealing compensation actuator is driven according to the determined sealing compensation amount ΔG. The sealing compensation actuator includes a hydraulic cylinder, and the driving force P of the hydraulic cylinder is calculated by the following formula: P=

[0013] Where F is the required driving force, and A is the effective working area of ​​the hydraulic cylinder; the driving force F is calculated based on the seal compensation amount ΔG and the stiffness k of the sealing device: F = k·ΔG.

[0014] Preferably, during the sealing compensation strategy, changes in the sealing gap are continuously monitored; a displacement sensor collects sealing gap data in real time and compares it with the target sealing gap. Comparison; Target The sealing gap can be calculated using the following formula:

[0015] If the deviation between the monitored sealing gap and the target sealing gap exceeds the allowable range Δ Then adjust the drive parameters of the actuator, such as the drive pressure of the hydraulic cylinder, until the sealing gap is adjusted to a suitable range; Δ The target sealing compensation amount.

[0016] The technical effects and advantages of this invention are as follows: 1. When in use, this system adopts a cooling adjustment algorithm based on the fuzzy PID control principle, which can adjust the flow rate of the cooling liquid in real time according to the actual temperature change of the pump body. Compared with the traditional fixed flow cooling method, this algorithm can control the cooling effect more accurately, avoid energy waste caused by over-cooling, and ensure that the pump body temperature is always within a safe range, thereby improving cooling efficiency and reducing operating costs.

[0017] 2. When in use, this invention monitors the sealing gap in real time and performs sealing compensation operations in conjunction with temperature data. The system can respond promptly to changes in the sealing gap caused by temperature rise, effectively preventing sealing failure and ensuring zero-leakage operation of the chemical process pump. At the same time, reasonable sealing compensation reduces wear and damage to the sealing components, extends the service life of the sealing device, and thus extends the overall life of the chemical process pump, reducing equipment maintenance and replacement costs. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the overall structure of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] As attached Figure 1 The zero-leakage chemical process pump shown includes a seal compensation and intelligent cooling system, comprising: The chemical process pump system startup module, as the core of the entire system startup, is used to receive external startup commands and initialize each sub-module; The intelligent control module receives the start signal from the chemical process pump system start module and acts as the control center of the system, responsible for receiving and processing data and instructions from each sub-module. After the intelligent control module establishes a communication link, the temperature detection and liquid speed control module responds to the connection request and completes the connection with the intelligent control module. It is used to detect the temperature and flow rate of the cooling liquid in real time and adjust the cooling liquid flow rate as needed. The temperature monitoring and judgment module receives temperature data from the temperature detection and liquid speed control module, and communicates with the intelligent control module to continuously monitor the temperature of various parts of the pump body and compare it with preset thresholds for judgment. The continuous monitoring and dynamic adjustment module receives monitoring results from the temperature monitoring and judgment module and adjustment instructions from the intelligent control module, and is used to continuously monitor the system status and make dynamic adjustments. Before the temperature monitoring and judgment module transmits the monitoring results to the continuous monitoring and dynamic adjustment module, a temperature anomaly judgment step is set up: the intelligent control module receives the monitoring results from the temperature monitoring and judgment module. When it is determined that the temperature of all parts of the pump body is normal and does not exceed the preset threshold, it continues to maintain the current operating state; when it is determined that the temperature of a certain part of the pump body exceeds the preset threshold, the intelligent control module sends a command to the temperature detection and liquid speed control module to start the cooling adjustment process, adjust the cooling liquid flow rate to reduce the temperature, and at the same time, the intelligent control module issues a corresponding command according to the preset sealing compensation strategy to perform sealing compensation operation. The shutdown preparation module receives shutdown commands from the intelligent control module and performs pre-shutdown preparations upon receiving the shutdown command. The temperature monitoring and shutdown confirmation module receives signals and temperature detection data from the shutdown preparation module, and communicates with the intelligent control module to continuously monitor the pump body temperature during the shutdown process and confirm whether the shutdown conditions are met. The system shutdown module receives a shutdown completion signal from the temperature monitoring and shutdown confirmation module, and communicates with the intelligent control module. It serves as the final shutdown stage of the system and is responsible for completing all operation records and data processing. The intelligent control module calculates the required flow rate adjustment based on a preset cooling adjustment algorithm, combined with the current coolant flow rate and temperature deviation; and adjusts the PID parameters in real time via a fuzzy PID controller, including the proportional gain. Integral coefficient Differential coefficients ; The formula for calculating the PID parameters for adjusting a fuzzy PID controller is as follows:

[0021]

[0022]

[0023] in, , , The initial PID parameters can be adjusted based on experience and experimentation, for example, set to 0.08, 0.005, and 0.40 respectively; Δ Δ Δ The output of fuzzy control automatically adjusts the values ​​of the three control parameters of the PID controller based on the state of the controlled object. , , These represent the proportional coefficient, integral coefficient, and derivative coefficient after adjustment by the fuzzy controller. The dynamic correction values ​​of the PID parameters are adjusted by the PID controller to improve the control performance of the system under different operating conditions. The intelligent control module sends a command to the temperature detection and liquid speed control module based on the calculated flow rate adjustment amount, in order to adjust the flow rate of the cooling liquid; the temperature detection and liquid speed control module responds to the command to control the flow rate of the cooling liquid. The sealing compensation device uses a displacement sensor to detect the sealing gap G at the overheated area in real time, obtaining the specific value of the current sealing gap. Based on a preset sealing compensation parameter table, combined with the current sealing gap value G and temperature data T, the required sealing compensation amount ΔG is determined. Assuming the sealing compensation parameter table is a simple linear relationship table, the relationship between the sealing compensation amount ΔG, temperature T, and sealing gap G can be expressed as: ΔG = a·T + b·G + c Where a, b, and c are constants.

[0024] The sealing compensation actuator, which includes a hydraulic cylinder, is driven based on the determined sealing compensation amount ΔG. The driving force P of the hydraulic cylinder is calculated using the following formula: P=

[0025] Where F is the required driving force, and A is the effective working area of ​​the hydraulic cylinder; the driving force F is calculated based on the seal compensation amount ΔG and the stiffness k of the sealing device: F = k·ΔG.

[0026] During the sealing compensation strategy, changes in the sealing gap are continuously monitored; displacement sensors collect sealing gap data in real time and compare it with the target sealing gap. Comparison; Target The sealing gap can be calculated using the following formula:

[0027] If the deviation between the monitored sealing gap and the target sealing gap exceeds the allowable range Δ Then adjust the drive parameters of the actuator, such as the drive pressure of the hydraulic cylinder, until the sealing gap is adjusted to a suitable range; Δ The target sealing compensation amount.

[0028] The sealing compensation and intelligent cooling system of the zero-leakage chemical process pump aims to ensure that the chemical process pump achieves zero leakage during operation. Through the intelligent control module, the various sub-modules are coordinated to monitor and adjust the pump body temperature in real time, and at the same time, the sealing gap is dynamically compensated to ensure that the pump body operates stably and safely under various working conditions. The chemical process pump system startup module, as the core of system startup, ensures the orderly initialization of each submodule, laying the foundation for normal system operation. After receiving the external startup command, the module sends initialization signals to each submodule, such as the intelligent control module, so that each submodule can complete its own parameter settings, status checks and other initialization work, preparing for subsequent operation. The intelligent control module, as the system control center, comprehensively coordinates the work of each sub-module, realizes intelligent decision-making and control, and optimizes the system's operating performance; after receiving the start signal from the chemical process pump system start module, it establishes communication links with each sub-module.

[0029] The system receives the monitoring results from the temperature monitoring and judgment module. When it is determined that the temperature of all parts of the pump body is normal and does not exceed the preset threshold, it maintains the current operating state. When it is determined that the temperature of a certain part exceeds the preset threshold, it sends a cooling adjustment command to the temperature detection and liquid speed control module and a sealing compensation command to the sealing compensation device, based on the preset cooling adjustment algorithm and sealing compensation strategy. Based on a preset cooling regulation algorithm, and considering the current cooling liquid flow rate and temperature deviation, the required flow rate adjustment is calculated. This algorithm is based on the fuzzy PID control principle and adjusts the PID parameters (proportional coefficient) in real time. Integral coefficient Differential coefficients To optimize control performance; The formula for calculating the PID parameters for adjusting a fuzzy PID controller is as follows:

[0030]

[0031]

[0032] in, , , The initial PID parameters; Δ Δ Δ As the output of fuzzy control, the intelligent control module sends a command to the temperature detection and liquid speed control module based on the calculated flow rate adjustment amount to adjust the flow rate of the cooling liquid in order to reduce the pump body temperature. The temperature detection and liquid velocity control module accurately detects the temperature and flow velocity of the coolant in real time, and precisely adjusts the coolant flow rate according to the instructions of the intelligent control module, effectively controlling the pump body temperature. After establishing a communication link with the intelligent control module, it connects to it. Using temperature and flow sensors, it detects the coolant temperature and flow velocity in real time and transmits the data to the intelligent control module. Upon receiving the flow rate adjustment instructions calculated by the intelligent control module based on the cooling adjustment algorithm, it adjusts the coolant flow rate by controlling valve opening, pump speed, and other factors. The temperature monitoring and judgment module continuously and accurately monitors the temperature of various parts of the pump body, promptly and accurately judging whether the temperature is abnormal, and providing a basis for decision-making for the intelligent control module. It continuously monitors the temperature of various parts of the pump body through temperature sensors, transmits the temperature data to the intelligent control module, and compares it with preset thresholds. If the temperature of all parts does not exceed the preset threshold, the temperature is judged to be normal; if the temperature of any part exceeds the preset threshold, the temperature is judged to be abnormal, and the monitoring result is transmitted to the intelligent control module. The continuous monitoring and dynamic adjustment module continuously and comprehensively monitors the system status and dynamically adjusts it according to the instructions of the intelligent control module to ensure that the system is always in optimal operating condition. It receives monitoring results from the temperature monitoring and judgment module and adjustment instructions from the intelligent control module, continuously monitoring various system parameters such as temperature and sealing gaps. Based on the adjustment instructions, it coordinates various sub-modules to make corresponding adjustments, such as adjusting the coolant flow rate and performing sealing compensation operations. The sealing compensation device detects the sealing gap at the overheated part in real time, and accurately determines the sealing compensation amount based on the temperature and sealing gap data to achieve dynamic compensation of the sealing gap and prevent sealing failure; the sealing gap G at the overheated part is detected in real time by the displacement sensor to obtain the specific value of the current sealing gap. Based on the preset sealing compensation parameter table, and combined with the current sealing gap value G and temperature data T, the required sealing compensation amount ΔG is determined. Assuming the sealing compensation parameter table is a simple linear relationship table, the relationship between the compensation amount ΔG and the temperature T and sealing gap G can be expressed as: ΔG = a·T + b·G + c Among them, a, b, and c are constants determined through experiments or experience; A sealing compensation actuator, such as a hydraulic cylinder, is precisely driven according to the sealing compensation amount to effectively adjust the sealing gap and ensure sealing performance; it is driven according to a determined sealing compensation amount ΔG; for a hydraulic cylinder, its driving pressure P is expressed by the formula P= calculate; Where F is the required driving force, and A is the effective working area of ​​the hydraulic cylinder; the driving force F can be calculated based on the sealing compensation amount ΔG and the stiffness k of the sealing device: F = k·ΔG; Based on the calculated driving pressure, the piston movement of the hydraulic cylinder is controlled to adjust the sealing gap. The compensation process involves monitoring and adjusting the sealing gap. During the compensation process, the sealing gap changes are continuously and accurately monitored, and the actuator drive parameters are adjusted promptly to ensure the sealing gap is adjusted to the appropriate range. A displacement sensor collects sealing gap data in real time and compares it with the target sealing gap. Comparison; Target The sealing gap can be calculated using the following formula: =G ΔG If the deviation between the monitored sealing gap and the target sealing gap exceeds the allowable range Δ If necessary, adjust the drive parameters of the actuator (such as the drive pressure of the hydraulic cylinder) until the sealing gap is adjusted to a suitable range; Δ To determine the target seal compensation amount, calculate the required driving force, where F is the required driving force and A is the effective working area of ​​the hydraulic cylinder. The driving force F is calculated based on the seal compensation amount ΔG and the stiffness k of the sealing device, using the formula F=k. ΔG. Based on the calculated driving pressure, the piston movement of the hydraulic cylinder is controlled to adjust the sealing gap; When the shutdown preparation module receives a shutdown command, it performs pre-shutdown preparations in an orderly manner to ensure a safe and stable shutdown process. After receiving a shutdown command from the intelligent control module, it performs pre-shutdown preparations, such as stopping the supply of coolant and closing relevant valves, and sends a signal to the temperature monitoring and shutdown confirmation module. The temperature monitoring and shutdown confirmation module continuously and accurately monitors the pump body temperature during the shutdown process to accurately confirm whether the shutdown conditions are met, ensuring a safe shutdown. It receives signals and temperature detection data from the shutdown preparation module and communicates with the intelligent control module. It continuously monitors the pump body temperature, and when the temperature drops to a safe range and meets the shutdown conditions, it sends a shutdown completion signal to the system shutdown module. The system shutdown module, as the final stage of system shutdown, completes all operation recording and data processing, providing a reference for the next system startup; it receives shutdown completion signals from the temperature monitoring and shutdown confirmation module, and communicates with the intelligent control module. It records various data during system operation, such as temperature, sealing gaps, and operating commands, and performs data processing and analysis to provide a basis for system optimization and fault diagnosis, before shutting down all system submodules.

[0033] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A seal compensation and intelligent cooling system for zero-leakage chemical process pumps, characterized in that, include: The chemical process pump system startup module, as the core of the entire system startup, is used to receive external startup commands and initialize each sub-module; The intelligent control module receives the start signal from the chemical process pump system start module and acts as the control center of the system, responsible for receiving and processing data and instructions from each sub-module. After the intelligent control module establishes a communication link, the temperature detection and liquid speed control module responds to the connection request and completes the connection with the intelligent control module. It is used to detect the temperature and flow rate of the cooling liquid in real time and adjust the cooling liquid flow rate as needed. The temperature monitoring and judgment module receives temperature data from the temperature detection and liquid speed control module, and communicates with the intelligent control module to continuously monitor the temperature of various parts of the pump body and compare it with preset thresholds for judgment. The continuous monitoring and dynamic adjustment module receives monitoring results from the temperature monitoring and judgment module and adjustment instructions from the intelligent control module, and is used to continuously monitor the system status and make dynamic adjustments. Before the temperature monitoring and judgment module transmits the monitoring results to the continuous monitoring and dynamic adjustment module, a temperature anomaly judgment step is set up: the intelligent control module receives the monitoring results from the temperature monitoring and judgment module. When it is determined that the temperature of all parts of the pump body is normal and does not exceed the preset threshold, it continues to maintain the current operating state; when it is determined that the temperature of a certain part of the pump body exceeds the preset threshold, the intelligent control module sends a command to the temperature detection and liquid speed control module to start the cooling adjustment process, adjust the cooling liquid flow rate to reduce the temperature, and at the same time, the intelligent control module issues a corresponding command according to the preset sealing compensation strategy to perform sealing compensation operation. The shutdown preparation module receives shutdown commands from the intelligent control module and performs pre-shutdown preparations upon receiving the shutdown command. The temperature monitoring and shutdown confirmation module receives signals and temperature detection data from the shutdown preparation module, and communicates with the intelligent control module to continuously monitor the pump body temperature during the shutdown process and confirm whether the shutdown conditions are met. The system shutdown module receives a shutdown completion signal from the temperature monitoring and shutdown confirmation module, and communicates with the intelligent control module. It serves as the final shutdown stage of the system and is responsible for completing all operation records and data processing.

2. The seal compensation and intelligent cooling system for zero-leakage chemical process pump of claim 1, wherein: The intelligent control module calculates the required flow speed adjustment amount according to a preset cooling adjustment algorithm in combination with the current cooling liquid flow speed and temperature deviation, and adjusts PID parameters in real time through a fuzzy PID controller, the PID parameters including a proportional coefficient , an integral coefficient , and a differential coefficient . The formula for calculating the PID parameters for adjusting a fuzzy PID controller is as follows: wherein, , , are initial set PID parameters, which can be adjusted according to experience and experiment, for example, set to 0.08, 0.005, 0.40 respectively; Δ , Δ , Δ is the output of fuzzy control, which automatically adjusts the values of the three control parameters of PID according to the state of the controlled object; , , respectively represent the proportional coefficient, integral coefficient and differential coefficient adjusted by the fuzzy controller, and the dynamic correction value of the PID parameter adjusted by the PID controller, which is used to improve the control performance of the system under different working conditions.

3. The seal compensation and intelligent cooling system for zero-leakage chemical process pump of claim 1, wherein: The intelligent control module sends a command to the temperature detection and liquid speed control module based on the calculated flow rate adjustment amount, in order to adjust the flow rate of the cooling liquid; the temperature detection and liquid speed control module responds to the command to control the flow rate of the cooling liquid.

4. The seal compensation and intelligent cooling system for zero-leakage chemical process pump of claim 1, wherein: The sealing compensation device uses a displacement sensor to detect the sealing gap G at the overheated area in real time, obtaining the specific value of the current sealing gap. Based on a preset sealing compensation parameter table, combined with the current sealing gap value G and temperature data T, the required sealing compensation amount ΔG is determined. Assuming the sealing compensation parameter table is a simple linear relationship table, the relationship between the sealing compensation amount ΔG, temperature T, and sealing gap G can be expressed as: ΔG = a·T + b·G + c; Where a, b, and c are constants.

5. The seal compensation and intelligent cooling system for zero-leakage chemical process pump of claim 1, wherein: The sealing compensation actuator, comprising a hydraulic cylinder, is driven according to the determined sealing compensation amount ΔG. The driving force P of the hydraulic cylinder is calculated using the following formula: P= Where F is the required driving force, and A is the effective working area of ​​the hydraulic cylinder; the driving force F is calculated based on the seal compensation amount ΔG and the stiffness k of the sealing device: F = k·ΔG.

6. The seal compensation and intelligent cooling system for zero-leakage chemical process pump of claim 1, wherein: During the sealing compensation strategy process, the change of the sealing gap is continuously monitored; the displacement sensor collects the sealing gap data in real time, and compares the data with the target sealing gap target The sealing gap can be calculated by the following formula: If the deviation of the monitored sealing gap from the target sealing gap exceeds the allowed range Δ , the drive parameters of the actuator, such as the drive pressure of the hydraulic cylinder, are adjusted until the sealing gap is adjusted to the appropriate range; Δ is the target sealing compensation.

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