High pressure delivery pump pre-chill fluid level management system
Patent Information
- Application Number
- CN202311658530.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-04
- Publication Date
- 2026-09-11
- Estimated Expiration
- 2043-12-04
AI Technical Summary
[0003]LNG高压泵在预冷过程中,当高压泵的液位高于泵吸入口时,泵体内外的空间被分隔开来,当泵筒压力达到400kPa时需要通过TSV或PSV卸压至200-300kPa,在卸压过程中泵体内外会因压力差而造成液位差,将导致高压泵预冷不均,产生应力,存在减少设备使用寿命或损坏设备的可能,且用于卸压的TSV和PSV旁路均为球阀,长时间用于截流可能导致阀门密封面损坏,造成阀门内漏,全开卸压又会导致高压泵筒压力波动较大,不利用高压泵液位管理,且高压泵整改预冷过程均为手动操作,需要人员现场频繁操作,且存在液位压力控制精度不高、调节延时等问题
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Figure CN117514744B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of precooling level management technology for high-pressure delivery pumps, specifically a precooling level management system for high-pressure delivery pumps. Background Technology
[0002] LNG high-pressure pumps are key equipment in liquefied natural gas receiving terminals, playing a role in pressurizing the gaseous output of LNG. Since the medium transported by the high-pressure pump is cryogenic LNG, the main materials of the high-pressure pump are aluminum alloy and austenitic stainless steel, which have excellent low-temperature performance. However, austenitic stainless steel has a large coefficient of thermal expansion. In order to prevent damage to the pump body or connection parts due to excessive temperature changes and excessive thermal stress, the high-pressure pump needs to be pre-cooled before being put into use.
[0003] During the precooling process of an LNG high-pressure pump, when the liquid level in the high-pressure pump is higher than the pump inlet, the space inside and outside the pump body is separated. When the pump cylinder pressure reaches 400 kPa, it needs to be depressurized to 200-300 kPa via a TSV or PSV. During the depressurization process, the pressure difference between the inside and outside of the pump body will cause a liquid level difference, which will lead to uneven precooling of the high-pressure pump, generating stress, and potentially reducing the service life of the equipment or damaging the equipment. In addition, the TSV and PSV bypasses used for depressurization are all ball valves. Long-term use for shut-off may damage the valve sealing surface and cause internal leakage. Fully opening the depressurization valve will cause large pressure fluctuations in the high-pressure pump cylinder, which is not conducive to high-pressure pump liquid level management. Furthermore, the precooling process of the high-pressure pump is all manually operated, requiring frequent on-site operation by personnel, and there are problems such as low liquid level and pressure control accuracy and adjustment delay. Summary of the Invention
[0004] (a) Technical problems to be solved
[0005] To address the shortcomings of existing technologies, this invention provides a high-pressure delivery pump precooling liquid level management system, which solves the problems mentioned in the background section.
[0006] (II) Technical Solution
[0007] To achieve the above objectives, the present invention provides the following technical solution: a high-pressure delivery pump precooling liquid level management system, the high-pressure delivery pump precooling liquid level management system comprising:
[0008] The sensor module can monitor the changes in the precooling liquid level of the high-pressure delivery pump in real time to ensure that the liquid level is within a suitable range, so as to guarantee the safe operation of the equipment and the process effect.
[0009] The filter module removes impurities and contaminants from the precooling liquid through an installed filter, ensuring that the liquid supplied to the pump is clean and pure, and preventing damage and blockage of the pump.
[0010] The PLC control module is responsible for executing logic control and realizing automatic control of the system based on the preset program and input signal status.
[0011] The AI intelligent module records all received data and control commands issued by the central processor, builds a learning model, and uses intelligent algorithms to automatically adjust the parameters and strategies for liquid level management based on real-time data and historical patterns.
[0012] An actuator module is a device used to perform actions. It receives signals from the PLC control module and controls the relevant actuators or performs actions based on the signals.
[0013] The alarm module can generate an alarm signal and transmit it to the monitoring module when the monitoring data of the precooling liquid level of the transfer pump is abnormal.
[0014] The monitoring module is used to display liquid level information and system status in real time. The interface can provide real-time data, trend charts, alarm information, etc., making it convenient for operators to monitor and manage the system.
[0015] Preferably, the sensor module includes:
[0016] The liquid level sensor module is used to measure the liquid level height. The sensor converts the float position into a corresponding electrical signal output and transmits the liquid level height to the controller.
[0017] The temperature sensor module uses an RTD sensor with metal resistive material to change the resistance value according to temperature changes, and monitors the pre-cooling temperature of the high-pressure delivery pump in real time to avoid uneven pre-cooling of the high-pressure pump.
[0018] The pressure sensor module uses a piezoresistive pressure sensor that employs a pressure-sensitive resistor material to convert liquid pressure into a change in resistance.
[0019] Preferably, the filter module includes:
[0020] The maintenance log module records the maintenance time of the filter by uploading data and generates logs to determine the maintenance cycle. By recording the maintenance cycle, the filter can be prevented from becoming clogged or damaged.
[0021] The flow recording module can monitor the flow rate passing through the filter using a set flow sensor.
[0022] Preferably, the PLC control module includes a central processing unit, which is responsible for executing program instructions written by the user and the AI module.
[0023] Preferably, the PLC control module further includes:
[0024] The input module is responsible for receiving external signals or sensor inputs and converting them into digital signals for processing by the central processing unit.
[0025] The communication module is used to enable communication and data exchange between the PLC and other devices or systems, and to transmit information via Ethernet.
[0026] Preferably, the AI intelligent module includes:
[0027] The prediction module can use data analysis and prediction models to predict liquid level change trends and pump operating conditions.
[0028] The adaptive control module can automatically open the valves within the precooling liquid level of the delivery pump based on the prediction model generated by the prediction module, thereby realizing automatic control of the entire precooling process of the high-pressure pump.
[0029] Preferably, the actuator module includes a solenoid valve module, which includes the solenoid valve itself and a matching drive circuit. The controller controls the drive circuit by outputting a signal, thereby opening or closing the solenoid valve to control the pipeline transport.
[0030] Preferably, the alarm module includes a grading module, which can classify the liquid level distance from the normal value into different grades, and transmit different signals to the monitoring module to simulate different emergency states of the alarm.
[0031] Preferably, the monitoring module includes:
[0032] The permissions module sets remote access permissions, which typically involves configuring security measures such as username and password, two-factor authentication, etc., to ensure that only authorized personnel can access remotely.
[0033] The remote monitoring module can monitor liquid level, temperature, pressure, valve opening and closing, and flow rate in real time.
[0034] The remote control module can handle some sudden abnormal situations. By issuing control commands, the central processor sends them to the actuator for execution, which can promptly control and handle any abnormalities or pre-cooling processes.
[0035] The remote monitoring module and the remote control module are connected to a mobile terminal and a PC terminal, and the real-time data of the high-pressure delivery pump precooling liquid level management system can be monitored through the mobile terminal and the PC terminal.
[0036] Preferably, the monitoring module further includes a data generation module, which can generate curves from the data received by the monitoring module and store the corresponding data so that data for a certain period of time can be retrieved at any time. The data generation module has a storage capacity of 10T, and historical data exceeding this limit is automatically uploaded to a cloud server for storage and easy access at any time.
[0037] (III) Beneficial Effects
[0038] This invention provides a pre-cooling liquid level management system for high-pressure delivery pumps. It has the following beneficial effects:
[0039] (1) When the high pressure pump precooling liquid level management system is in use, through a series of monitoring and reminders, the liquid level and pressure of the high pressure pump can be kept in balance during the precooling process, reducing the liquid level fluctuation caused by pressure fluctuation, effectively preventing the high pressure pump from being precooled unevenly and causing stress damage to the equipment, and does not require frequent operation by personnel on site.
[0040] (2) When the high-pressure delivery pump precooling liquid level management system is in use, it can use data analysis and prediction models to predict the liquid level change trend and pump operation status. This helps to detect potential faults early, carry out preventive maintenance, optimize liquid level management strategies, and improve the reliability and efficiency of the system. By using advanced technologies and algorithms, the system can manage and control the liquid level more intelligently and achieve more efficient and reliable pump operation. Attached Figure Description
[0041] Figure 1 This is a schematic diagram of the high-pressure delivery pump precooling liquid level management system of the present invention;
[0042] Figure 2 This is a schematic diagram of the filter module of the present invention;
[0043] Figure 3 This is a schematic diagram of the sensor module of the present invention;
[0044] Figure 4 This is a schematic diagram of the PLC module of the present invention;
[0045] Figure 5 This is a schematic diagram of the AI intelligent module of the present invention;
[0046] Figure 6 This is a schematic diagram of the actuator module of the present invention;
[0047] Figure 7 This is a schematic diagram of the alarm module of the present invention;
[0048] Figure 8 This is a schematic diagram of the monitoring module of the present invention;
[0049] Figure 9 This is a schematic diagram of the overall structure of the present invention. Detailed Implementation
[0050] 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.
[0051] Please see Figures 1-9 This invention provides a high-pressure transfer pump precooling liquid level management system, including a sensor module that can monitor the liquid level changes of the precooling liquid in the high-pressure transfer pump in real time, ensuring that the liquid level is within a suitable range to guarantee the safe operation of the equipment and the process effect. The sensor module includes:
[0052] The liquid level sensor module, through the installation of a differential pressure sensor, is installed above the precooling liquid storage tank or pump body to measure the liquid level height. This differential pressure sensor is a commonly used sensor for measuring fluid pressure differences. It determines the speed or flow rate of fluid or gas flow by measuring the pressure difference between two locations.
[0053] The temperature sensor module uses an RTD sensor that employs a metallic resistive material to change its resistance value according to temperature changes. This type of sensor has good stability and accuracy and is suitable for a wide range of temperature measurement. It can monitor the pre-cooling temperature of the high-pressure delivery pump in real time and avoid uneven pre-cooling of the high-pressure pump.
[0054] The pressure sensor module uses a piezoresistive pressure sensor that converts liquid pressure into a change in resistance. This type of sensor is usually made of waterproof and corrosion-resistant materials to adapt to the liquid environment. It can monitor the pressure of the pre-cooling liquid level of the delivery pump in real time. When the pump cylinder pressure reaches 400 kPa, it needs to be depressurized to 200-300 kPa through TSV or PSV. During the depressurization process, the pressure difference between the inside and outside of the pump body will cause a liquid level difference. The internal pressure is monitored in real time to avoid large fluctuations in the pressure of the high-pressure pump cylinder.
[0055] This invention provides a high-pressure delivery pump precooling liquid level management system, which further includes:
[0056] The filter module contains filtration media such as filter elements, filter screens, and filter cloths. Its main material is polytetrafluoroethylene (PTFE), which can withstand the low temperatures of the cooling media. Different materials and pore sizes can be selected to meet the filtration requirements of different impurities or particles. The installed filter removes impurities and contaminants from the precooling liquid, ensuring the cleanliness and purity of the liquid supplied to the pump and preventing pump damage and clogging. The filter module includes a maintenance record module and a flow record module. The maintenance record module uploads data to record the maintenance time of the filter and generates a log to determine the maintenance cycle. Recording the maintenance cycle helps prevent filter clogging or damage. The flow record module monitors the flow rate through the filter using a flow sensor. If the flow rate through the filter falls below the normal value, the filter needs maintenance to prevent a drop in the precooling liquid level of the delivery pump.
[0057] The PLC control module is responsible for executing logic control, achieving automatic control of the system based on preset programs and input signal states. It can generate corresponding output signals through calculations and judgments based on changes in input signals, controlling actuators and performing various operations to control the opening and closing of valves in the pre-cooling liquid level of the transfer pump. The PLC module includes a central processing unit (CPU), an input module, and a communication module. The CPU is responsible for executing program instructions written by the user and the AI module. It receives input signals, performs logical operations and control algorithms, and then controls the output signals. The input module receives external signals or sensor inputs and converts them into digital signals for the CPU to process. The input module provides multiple channels for connecting sensors, switches, and other devices, and can process different types of signals. The control signals processed by the CPU are transmitted to the actuator module for actual operation. The communication module enables communication and data exchange between the PLC and other devices or systems, transmitting information via Ethernet.
[0058] The AI intelligent module records all received data and control commands issued by the central processing unit, builds a learning model, and uses intelligent algorithms to automatically adjust the parameters and strategies of liquid level management based on real-time data and historical patterns. This enables more accurate and efficient liquid level management, adapting to changes in different working conditions and circumstances. The AI module includes a prediction module and an adaptive control module. The prediction module uses data analysis and predictive models to predict liquid level change trends and pump operating status. This helps to detect potential faults early, perform preventative maintenance, optimize liquid level management strategies, and improve system reliability and efficiency. By employing advanced technologies and algorithms, the system can manage and control the liquid level more intelligently, achieving more efficient and reliable pump operation. The adaptive control module automatically opens valves within the pre-cooling liquid level of the delivery pump based on the predictive model generated by the prediction module, achieving automatic control of the entire pre-cooling process of the high-pressure pump. Specifically, in one embodiment, as shown... Figure 9 As shown, first confirm that valves V4, V3, and V8 on the high-pressure pump precooling level management device are closed. Open the upstream drain valve V5 of the TSV and the upstream and downstream drain valves V6 and V7 of the PSV. Open the ball valve V1 of the high-pressure pump precooling pipeline and start the high-pressure pump precooling intelligent control system. Confirm that the precooling control valve V2 opens automatically, and LNG enters the pump cylinder. The precooling rate is set to less than 0.56% / min (25.4mm / min). During the precooling process, when the pressure of the high-pressure pump cylinder reaches 300kPa, the control valve V4 on the high-pressure pump precooling device will open automatically, and the pressure of the high-pressure pump cylinder will be maintained at around 300kPa. When the pump cylinder level first reaches below the tail bearing (the level gauge shows 12%), the precooling will automatically stop for 60 minutes as required by Table 1. During this period, the pressure of the high-pressure pump cylinder will continue to be kept stable by automatically controlling V4, and the precooling control valve will continue to open automatically for precooling. The precooling method is the same as above, and the precooling stop time is executed according to the table below.
[0059]
[0060] An actuator module is a device used to perform actions. It receives signals from the PLC control module and controls the relevant actuators or performs actions according to the signals. This includes a solenoid valve module, which typically includes the solenoid valve itself and its matching drive circuit. The controller controls the drive circuit through output signals, thereby opening or closing the solenoid valve to control the pipeline transportation.
[0061] The alarm module generates an alarm signal and transmits it to the monitoring module once the precooling liquid level monitoring data of the transfer pump becomes abnormal. The alarm module also includes a classification module, which can classify the liquid level from the normal value. Different signals transmitted to the monitoring module simulate different emergency states of the alarm, which can better enable the staff to make a certain degree of advance judgment on the handling. The alarm signal is then sent to the monitoring module through the transmission module.
[0062] The monitoring module displays real-time liquid level information and system status. The interface provides real-time data, trend charts, alarm information, etc., facilitating operator monitoring and management. The monitoring module includes a permissions module to set remote access permissions, typically involving security measures such as username and password, two-factor authentication, etc., to ensure only authorized personnel can access the system remotely. The monitoring module includes a remote monitoring module and a remote control module. The remote monitoring module connects mobile devices (such as phones and tablets) to PCs. Operators can monitor real-time data of the high-pressure delivery pump precooling liquid level management system, such as operating parameters like liquid level, temperature, and pressure, through mobile devices and PCs. It can also handle sudden anomalies by issuing control commands, which are then executed by the central processor to the actuators, enabling timely control and processing of anomalies or precooling processes. This data can be acquired through the system's sensor modules and monitoring equipment. The data generation module in the monitoring module generates graphs from the received data and stores the data, allowing operators to retrieve data for a specific time period at any time. The data generation module has a storage capacity of 10TB, automatically uploading historical data beyond this capacity to a cloud server for easy access.
[0063] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A high pressure delivery pump pre-chill level management system characterized by: The high-pressure delivery pump precooling liquid level management system includes: The sensor module monitors the liquid level changes of the precooling liquid in the high-pressure delivery pump in real time to ensure that the liquid level is within a suitable range, so as to guarantee the safe operation of the equipment and the process effect. The filter module removes impurities and contaminants from the precooling liquid through an installed filter, ensuring that the liquid supplied to the pump is clean and pure, and preventing damage and blockage of the pump. The PLC control module is responsible for executing logic control and realizing automatic control of the system based on the preset program and input signal status. The AI intelligent module records all received data and control commands issued by the central processor, builds a learning model, and uses intelligent algorithms to automatically adjust the parameters and strategies for liquid level management based on real-time data and historical patterns. An actuator module is a device used to perform actions. It receives signals from the PLC control module and controls the relevant actuators or performs actions based on the signals. The alarm module can generate an alarm signal and transmit it to the monitoring module when the monitoring data of the precooling liquid level of the transfer pump is abnormal. The monitoring module is used to display liquid level information and system status in real time. The interface provides real-time data, trend charts, and alarm information, making it convenient for operators to monitor and manage the system.
2. A high pressure delivery pump pre-cool level management system as claimed in claim 1, wherein: The sensor module includes: The liquid level sensor module is used to measure the liquid level height. The liquid level sensor module converts the position of the float into a corresponding electrical signal output, and the sensor converts the liquid level height into an electrical signal and transmits it to the PLC control module. The temperature sensor module uses an RTD sensor with metal resistive material to change the resistance value according to temperature changes, and monitors the pre-cooling temperature of the high-pressure delivery pump in real time to avoid uneven pre-cooling of the high-pressure pump. The pressure sensor module uses a piezoresistive pressure sensor that employs a pressure-sensitive resistor material to convert liquid pressure into a change in resistance.
3. A pre-chilled fluid level management system for a high pressure delivery pump as defined in claim 1, wherein: The filter module includes: The maintenance log module records the maintenance time of the filter by uploading data and generates logs to determine the maintenance cycle. By recording the maintenance cycle, the filter can be prevented from becoming clogged or damaged. The flow recording module can monitor the flow rate passing through the filter using a set flow sensor.
4. A high pressure delivery pump pre-cool level management system as defined in claim 1, wherein: The PLC control module includes a central processing unit, which is responsible for executing program instructions written by the user and the AI intelligent module.
5. A high pressure delivery pump pre-cool level management system as claimed in claim 1, wherein: The PLC control module also includes: The input module is responsible for receiving external signals or sensor inputs and converting them into digital signals for processing by the central processing unit. The communication module is used to enable communication and data exchange between the PLC and other devices or systems, and to transmit information via Ethernet.
6. The high-pressure delivery pump precooling liquid level management system according to claim 1, characterized in that: The AI intelligent module includes: The prediction module can use data analysis and prediction models to predict liquid level change trends and pump operating conditions. The adaptive control module can automatically open the valves within the precooling liquid level of the delivery pump based on the prediction model generated by the prediction module, thereby realizing automatic control of the entire precooling process of the high-pressure pump.
7. The high-pressure delivery pump precooling liquid level management system according to claim 1, characterized in that: The actuator module includes a solenoid valve module, which includes the solenoid valve itself and a matching drive circuit. The PLC control module controls the drive circuit by outputting signals, thereby opening or closing the solenoid valve to control the pipeline transportation.
8. The high-pressure delivery pump precooling liquid level management system according to claim 1, characterized in that: The alarm module includes a grading module, which can classify the liquid level distance from the normal value into different grades. Different signals are transmitted to the monitoring module to simulate different emergency states of the alarm.
9. A high-pressure delivery pump precooling liquid level management system according to claim 1, characterized in that: The monitoring module includes: The permissions module sets remote access permissions, including username and password, and two-factor authentication, to ensure that only authorized personnel can access remotely; The remote monitoring module can monitor liquid level, temperature, pressure, valve opening and closing, and flow rate in real time. The remote control module can handle some sudden abnormal situations. By issuing control commands, the central processor sends them to the actuator for execution, which can promptly control and handle any abnormalities or pre-cooling processes. The remote monitoring module and the remote control module are connected to a mobile terminal and a PC terminal, and the real-time data of the high-pressure delivery pump precooling liquid level management system can be monitored through the mobile terminal and the PC terminal.
10. A high-pressure delivery pump precooling liquid level management system according to claim 1, characterized in that: The monitoring module also includes a data generation module, which can generate curves from the data received by the monitoring module and store the corresponding data so that data for a certain period of time can be retrieved at any time. The data generation module has a storage capacity of 10T, and historical data exceeding this limit is automatically uploaded to the cloud server for storage and easy access at any time.
Citation Information
Patent Citations
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