Method and system for regulating liquid level and crystallization state of carbon capture system based on sonar adaptive intervention
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUANENG CLEAN ENERGY RES INST
- Filing Date
- 2026-01-26
- Publication Date
- 2026-06-19
Smart Images
Figure CN122230484A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of carbon capture system control technology, and in particular to a method and system for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention. Background Technology
[0002] Currently, carbon capture, utilization, and storage (CCUS) technology is one of the key pathways to achieve deep decarbonization in industrial processes. In typical chemical absorption carbon capture systems, absorbents (such as amine solutions used in amine-based carbon capture) are prone to crystallization on the inner walls of storage tanks, pipelines, and equipment during recycling due to changes in operating conditions such as temperature, concentration, and pressure. This crystallization can lead to the following problems: First, level monitoring failure: The sensing parts of traditional contact level gauges (such as float-type and differential pressure type) are easily covered or stuck by crystals, leading to distorted level readings or even complete failure. Uncontrolled level can cause tank overflows or cavitation, wasting absorbent and potentially allowing rich liquid to enter the flue or process gas path, severely impacting the safe and stable operation of the system. Second, pipe and equipment blockage: Crystals gradually accumulate at pipe bends, valves, and pump inlets, reducing the flow cross-section, increasing system pressure drop, and decreasing absorbent circulation efficiency. In severe cases, this can lead to complete line shutdown, requiring manual cleaning, resulting in high maintenance costs and disruption to continuous operation. Third, safety hazards: Localized crystal accumulation can cause stress concentration in equipment, seal failure, or blockage of measuring points, potentially leading to leaks or even equipment overpressure risks. Traditional methods are mostly reactive, lacking early warning and proactive intervention capabilities.
[0003] Therefore, it is necessary to monitor the liquid level and crystallization state in the carbon capture system. In related technologies, discrete instruments are generally used for monitoring. In this method, liquid level monitoring relies on contact level gauges, and blockage detection depends on indirect inference from parameters such as pressure and flow rate, or periodic manual inspections. However, the monitoring methods in these technologies are insufficient for real-time, online, and non-contact early identification and precise location of crystallization, and they cannot form a closed-loop automatic control system of "monitoring-judgment-intervention".
[0004] Therefore, how to accurately and non-contactly monitor liquid level and crystallization state simultaneously, and automatically trigger targeted intervention measures when an abnormality is detected, has become an urgent problem to be solved. Summary of the Invention
[0005] This application aims to at least partially address one of the technical problems in the related art.
[0006] Therefore, the first objective of this application is to propose a method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention. This method uses sonar technology to monitor the liquid level and crystallization state non-contactly, and combines a dynamic intervention module to realize an automated regulation process of monitoring, early warning and treatment, thereby improving the accuracy and reliability of regulation.
[0007] The second objective of this application is to propose a sonar-based adaptive intervention system for regulating the liquid level and crystallization state of a carbon capture system.
[0008] The third objective of this application is to propose an electronic device.
[0009] The fourth objective of this application is to provide a computer-readable storage medium.
[0010] To achieve the above objectives, the first aspect of this application is to propose a method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention, comprising the following steps: Multiple sonar sensors in the sonar monitoring module are installed on the top of the storage container and in multiple easily blocked locations in the pipes of the carbon capture system. The monitoring parameters of the sonar monitoring module are calibrated according to the status parameters of the carbon capture system. The sonar monitoring module supports dual monitoring modes of liquid level and crystallization. The sonar monitoring module emits ultrasonic waves into the storage container and pipes of the carbon capture system and acquires multiple characteristics of the received reflected waves. The central control unit performs calculations and analysis on multiple characteristics of the reflected wave to determine the liquid level in the storage container and to determine whether the carbon capture system is blocked by crystallization. The liquid level is adjusted according to the liquid level height, and in the event of crystallization blockage, the dynamic intervention module is controlled to work to eliminate the crystallization blockage; The sonar monitoring module is controlled to re-monitor the adjusted data and cyclically regulate the liquid level and crystallization state.
[0011] Optionally, the step of transmitting ultrasonic waves into the storage container and pipes of the carbon capture system through the sonar monitoring module and acquiring multiple characteristics of the received reflected waves includes: vertically transmitting ultrasonic waves through a sonar sensor located on top of the storage container and acquiring the propagation time between the ultrasonic wave transmission and the return of the reflected wave; the step of determining the liquid level height in the storage container includes: calculating the liquid level height in the storage container based on the ultrasonic wave transmission speed and the propagation time.
[0012] Optionally, the step of transmitting ultrasonic waves into the storage container and pipes of the carbon capture system through the sonar monitoring module and acquiring multiple characteristics of the received reflected waves includes: transmitting ultrasonic waves into the pipes and storage container through a sonar sensor located on the pipes, and continuously monitoring the frequency, amplitude, and propagation time of the reflected waves within a preset time period; the step of determining whether the carbon capture system is blocked by crystallization includes: analyzing the changes in the frequency, amplitude, and propagation time of the reflected waves within the preset time period, determining whether there is blockage by crystallization based on the changes, and determining the location and degree of blockage by crystallization.
[0013] Optionally, acquiring multiple characteristics of the received reflected wave further includes: acquiring the energy distribution state of the reflected wave; determining whether the carbon capture system has crystallization blockage includes: calculating the slope of the energy distribution curve of the reflected wave based on the energy distribution state of the reflected wave, comparing the slope of the energy distribution curve with a preset linear slope, and determining that crystallization blockage exists if the slope of the energy distribution curve deviates from the linear slope; comparing the medium flow velocity in the pipeline with a preset flow velocity range, and determining that crystallization blockage exists if the medium flow velocity exceeds the flow velocity range.
[0014] Optionally, before acquiring multiple features of the received reflected wave, the method further includes: filtering the received reflected wave and amplifying the filtered reflected wave; and converting the amplified reflected wave into a digital signal.
[0015] Optionally, the control dynamic intervention module operates to eliminate crystallization blockage, including: heating the pipeline by means of a heating device arranged on the pipeline and adjusting the heating temperature by means of a PID control algorithm; controlling the rotation of a stirring device arranged inside the storage container, wherein the stirring device includes a variable frequency motor and a propeller, and the rotational speed of the variable frequency motor corresponds to the degree of blockage.
[0016] Optionally, adjusting the liquid level includes: when the liquid level is lower than a preset range, controlling the stirring device to enter an anti-sedimentation mode and operate at a low speed; and when the liquid level deviates from the range, replenishing or draining the storage container.
[0017] To achieve the above objectives, a second aspect of this application also proposes a sonar-adaptive intervention-based system for regulating the liquid level and crystallization state of a carbon capture system, comprising the following modules: An initialization module is used to install multiple sonar sensors from the sonar monitoring module at multiple easily clogged locations on the top of the storage container and in the pipes of the carbon capture system, and to calibrate the monitoring parameters of the sonar monitoring module according to the status parameters of the carbon capture system. The sonar monitoring module supports dual monitoring modes of liquid level and crystallization. The monitoring module is used to transmit ultrasonic waves into the storage container and pipes in the carbon capture system through the sonar monitoring module, and to acquire multiple characteristics of the received reflected waves. The determination module is used to perform calculations and analysis on multiple characteristics of the reflected wave through the central control unit to determine the liquid level height in the storage container and to determine whether there is crystallization blockage in the carbon capture system; The adjustment module is used to adjust the liquid level height and, in the event of crystallization blockage, control the dynamic intervention module to eliminate the crystallization blockage. The circulation module is used to control the sonar monitoring module to re-monitor the adjusted data and to cyclically regulate the liquid level and crystallization state.
[0018] To achieve the above objectives, a third aspect of this application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the sonar-adaptive intervention-based method for regulating the liquid level and crystallization state of a carbon capture system as described in any one of the first aspects above.
[0019] To achieve the above objectives, the fourth aspect of this application also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention as described in any one of the first aspects.
[0020] The technical solution provided by the embodiments of this application brings at least the following beneficial effects: This application utilizes sonar technology to achieve non-contact monitoring of liquid level and pipeline crystallization status. Through the mode switching of a dual-function sonar probe, it addresses the needs of both liquid level measurement and crystallization detection, overcoming the limitations of traditional split-type solutions. Combined with closed-loop control of heating and stirring, it achieves full-process automation of monitoring, early warning, and handling, proactively preventing equipment failures and safety accidents caused by crystallization, and effectively reducing the probability of problems such as liquid level gauge failure and pipeline blockage caused by crystallization. Furthermore, this application can reduce the frequency of downtime maintenance of the carbon capture system, extend equipment lifespan, and improve system operational stability; it can also prevent carbon dioxide escape caused by liquid level failure or pipeline leakage, further ensuring the environmental friendliness and safety of the carbon capture system.
[0021] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description
[0022] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart illustrating a method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention, as proposed in an embodiment of this application; Figure 2 This is a schematic diagram of the arrangement of a sonar monitoring module according to an embodiment of this application; Figure 3 This is a schematic diagram of the control logic of a method for controlling the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention proposed in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a sonar-based adaptive intervention carbon capture system for regulating liquid level and crystallization state, as proposed in an embodiment of this application. Detailed Implementation
[0023] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.
[0024] It should be noted that sonar technology can accurately determine the liquid level in storage tanks and containers by measuring the round-trip time of ultrasound. Furthermore, when a pipeline is blocked, the ultrasonic propagation characteristics of sonar change, allowing for timely detection of the blockage's location and extent, facilitating timely maintenance and ensuring pipeline unobstructed flow. Therefore, based on these two characteristics, this application proposes a method and system for controlling the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention, to avoid and prevent level gauge malfunction caused by crystallization.
[0025] The following description, with reference to the accompanying drawings, describes a method and system for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention, as proposed in an embodiment of this application.
[0026] Figure 1 This is a flowchart illustrating a method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention, as proposed in an embodiment of this application. Figure 1 As shown, the method includes the following steps: Step S101: Install multiple sonar sensors from the sonar monitoring module on the top of the storage container and in multiple easily clogged locations in the pipes of the carbon capture system, and calibrate the monitoring parameters of the sonar monitoring module according to the status parameters of the carbon capture system. The sonar monitoring module supports dual monitoring modes of liquid level and crystallization.
[0027] Specifically, the control method of this application is divided into five stages. This step is the initialization stage, which includes installing the sonar monitoring module and calibrating its parameters after the sonar monitoring module is started.
[0028] The sonar monitoring module of this application includes multiple sonar sensors, each of which is a dual-function sonar probe, meaning that the same sensor can switch between liquid level and pipeline monitoring modes through an algorithm. Figure 2 As shown, each sonar sensor is installed on top of the storage container in the carbon capture system, as well as at the top of the pipes, the inlets, and other key locations prone to crystallization and blockage.
[0029] Furthermore, the monitoring parameters of the sonar monitoring module are calibrated based on the status parameters of the carbon capture system.
[0030] As one possible implementation, parameter calibration involves calibrating the core monitoring parameters of the sonar module based on the actual operating conditions of the carbon capture system (such as the characteristics of the medium currently in use and the state parameters of the container structure). Specifically, this can include the following two aspects: Firstly, based on the actual height of the storage container within the carbon capture system, the container height parameter of the sonar module is calibrated to ensure that the reference data for container height is accurate when calculating the liquid level height using ultrasonic propagation time. This avoids errors in liquid level calculation results due to deviations in container height parameters, laying the foundation for accurate liquid level monitoring.
[0031] Secondly, the ultrasonic propagation speed (sound velocity) is calibrated based on the operating conditions of the medium in the carbon capture system (such as the absorbent used and the captured carbon dioxide liquid). Because the propagation speed of ultrasound varies in media with different temperatures and pressures, and sound velocity is a key parameter for calculating the liquid level height in this application, calibrating the sound velocity according to actual operating conditions ensures the accuracy of the liquid level height calculation and provides a reliable sound velocity benchmark for the analysis of reflected wave characteristics in subsequent pipeline crystallization monitoring, avoiding misjudgments of pipeline crystallization blockage due to sound velocity deviations.
[0032] In addition, combined with the calibration logic of the sonar imaging system, parameter calibration also refers to the known characteristics of the standard reference object (such as reflectivity and size). By comparing the reflected signal of the reference object received by the sonar module with the known characteristic data, it helps to calibrate parameters such as the signal sensitivity and propagation time measurement accuracy of the sonar, ensuring that the output data of the sonar module in the liquid level monitoring and pipeline crystallization monitoring modes meet the preset standards, and further improve the accuracy and reliability of the system monitoring.
[0033] In step S102, ultrasonic waves are emitted into the storage container and pipes in the carbon capture system through the sonar monitoring module, and multiple characteristics of the received reflected waves are obtained.
[0034] Specifically, the decision-making stage of this step includes transmitting ultrasonic waves through the installed and calibrated sonar monitoring module, receiving the returned reflected waves, and performing preprocessing operations such as filtering and feature extraction on the received reflected wave signals.
[0035] Specifically, for the liquid level monitoring mode and the crystallization state monitoring mode, the sonar monitoring module can emit ultrasonic waves into the storage container and / or pipeline and extract multiple reflected wave features required for the corresponding monitoring mode.
[0036] In one embodiment of this application, ultrasonic waves are emitted into the storage container and pipes of the carbon capture system through a sonar monitoring module, and multiple characteristics of the received reflected waves are obtained, including: vertically emitting ultrasonic waves through a sonar sensor located on top of the storage container, and obtaining the propagation time between the emission of the ultrasonic waves and the return of the reflected waves.
[0037] Specifically, in liquid level monitoring mode, a sonar located at the top of the storage container emits ultrasonic waves vertically downwards to measure the liquid level height inside the container. The ultrasonic waves reflect back after encountering the liquid surface, and the ultrasonic sensor measures the time from the emission of the ultrasonic wave to its return. This allows for subsequent calculation of the liquid level based on the speed of ultrasonic wave propagation and the measured return time.
[0038] In one embodiment of this application, ultrasonic waves are emitted into the storage container and pipe in the carbon capture system through a sonar monitoring module, and multiple characteristics of the received reflected waves are obtained. The method further includes: emitting ultrasonic waves into the pipe and storage container through a sonar sensor located on the pipe, and continuously monitoring the frequency, amplitude and propagation time of the reflected waves within a preset time period.
[0039] Specifically, in the crystallization state monitoring mode, sonar sensors located on the pipeline emit ultrasonic waves into the pipeline and container. When crystallization blockage is present, the frequency, amplitude, and propagation time of the reflected waves will change. Therefore, the sonar sensors continuously detect the frequency, amplitude, and propagation time of the reflected waves over a preset period of time, so that subsequent analysis of these changes can determine whether crystallization blockage exists and its location and extent.
[0040] Based on the above embodiments, in order to improve the accuracy of data analysis, in one embodiment of this application, before obtaining multiple features of the received reflected wave, the method further includes: filtering the received reflected wave and amplifying the filtered reflected wave; and converting the amplified reflected wave into a digital signal.
[0041] Specifically, the sonar monitoring module in this embodiment also includes a signal processing unit. After receiving the reflected wave signal from the sonar sensor, the signal processing unit first performs filtering to remove noise interference. Then, it amplifies the reflected wave signal to enhance its strength. Finally, it converts the analog signal into a digital signal so that the processed signal can be analyzed according to a preset algorithm to calculate the liquid level and determine the pipe blockage. The sonar monitoring module transmits the processed data to the central control unit for further calculation and analysis.
[0042] Step S103: The central control unit performs calculations and analysis on multiple characteristics of the reflected wave to determine the liquid level in the storage container and to determine whether there is crystallization blockage in the carbon capture system.
[0043] Specifically, in the decision-making stage of this step, the central control unit performs calculations and analysis on multiple characteristics of the received reflected waves. In the liquid level monitoring mode, the liquid level height in the storage container is calculated based on the relevant characteristics. In the crystallization state monitoring mode, the presence of crystallization blockage in the carbon capture system is determined based on the relevant characteristics, and the location and extent of the blockage are identified.
[0044] In one embodiment of this application, determining the liquid level in a storage container includes: calculating the liquid level in the storage container based on the ultrasonic transmission speed and propagation time.
[0045] Specifically, in this embodiment, the liquid level height is calculated using the following formula based on the propagation speed of ultrasound and the propagation time monitored in real time by the sonar monitoring module: h=1 / 2vt Where h is the liquid level height, v is the ultrasonic wave propagation speed, and t is the propagation time.
[0046] In one embodiment of this application, determining whether a carbon capture system is blocked by crystallization includes: analyzing the changes in the frequency, amplitude, and propagation time of reflected waves within a preset time period, determining whether there is blockage by crystallization based on the changes, and determining the location and degree of blockage by crystallization.
[0047] Specifically, this application employs two methods to determine the presence of crystallization blockage, each corresponding to different data sources and judgment logic. This embodiment determines the presence of blockage based on changes in the frequency, amplitude, and propagation time of the reflected wave. In pipeline crystallization monitoring within a carbon capture system, a sonar probe emits ultrasonic waves into the pipeline. If crystallization blockage exists, the ultrasonic wave propagation path is obstructed, leading to a shift in the frequency of the reflected wave (e.g., frequency reduction), an attenuation in amplitude (e.g., energy reduction), and a prolonged propagation time (possibly due to a longer path or changes in the propagation medium characteristics). This embodiment analyzes these abnormal changes in reflected wave characteristic parameters—for example, changes within a preset time period, or the relationship between these parameters and the normal range of reflected wave characteristic parameters—to directly determine whether crystallization blockage exists in the pipeline and the preliminary extent of the blockage.
[0048] In one embodiment of this application, acquiring multiple characteristics of the received reflected wave further includes: acquiring the energy distribution state of the reflected wave; determining whether the carbon capture system has crystallization blockage, including: calculating the slope of the energy distribution curve of the reflected wave based on the energy distribution state of the reflected wave, comparing the slope of the energy distribution curve with a preset linear slope, and determining that crystallization blockage exists when the slope of the energy distribution curve deviates from the linear slope; comparing the medium flow velocity in the pipeline with a preset flow velocity range, and determining that crystallization blockage exists when the medium flow velocity exceeds the flow velocity range.
[0049] Specifically, this embodiment uses a different approach, judging based on deviations in the linear slope of the reflected wave energy distribution or abnormal flow velocity. The central control unit analyzes the reflected wave energy distribution data transmitted by the sonar monitoring module. Under normal circumstances, without crystallization blockage, the reflected wave energy distribution exhibits a relatively regular linear characteristic. When crystallization blockage exists, the energy distribution curve deviates from the preset linear slope. Furthermore, the system monitors the flow velocity of the medium within the pipeline. An abnormal decrease in flow velocity (e.g., crystallization blockage reducing the pipeline cross-sectional area and obstructing medium flow) is also used as a basis for judging crystallization blockage. When either of these two conditions is met, the system triggers a blockage warning.
[0050] Step S104: Adjust the liquid level according to the liquid level height, and if crystallization blockage exists, control the dynamic intervention module to work to eliminate the crystallization blockage.
[0051] Specifically, this step involves intervention in liquid level and crystallization state. The liquid level can be adjusted, and in the event of crystallization blockage, the dynamic intervention module proposed in this application can be activated to eliminate crystallization.
[0052] In one embodiment of this application, controlling the dynamic intervention module to eliminate crystallization blockage includes: heating the pipeline by means of a heating device arranged on the pipeline and adjusting the heating temperature by means of a PID control algorithm; controlling the rotation of a stirring device arranged inside the storage container, wherein the stirring device includes a variable frequency motor and a propeller, and the rotation speed of the variable frequency motor corresponds to the degree of blockage.
[0053] Specifically, the dynamic intervention module in this embodiment includes a heating device and a stirring device. The heating device heats the outer wall of the pipe to melt the crystals, while the stirring device mixes the contents of the container to dissolve the crystals. As one possible implementation, the heating device can use a wound-type hot wire, and the heating temperature can be controlled by a PID algorithm (e.g., the temperature reference range can be 50~80°C) to prevent crystal precipitation.
[0054] For example, the heating device uses a nickel-chromium alloy wound heating wire, evenly wound around the outer wall of the conveying pipeline, and wrapped with an external insulation layer to reduce heat loss. The heating device is connected to a PLC controller. After receiving instructions from the PLC controller, it adjusts the heating power through a PID controller to control the temperature of the pipeline's outer wall within a preset range. It raises the temperature of the medium inside the pipeline through heat conduction, preventing crystallization due to excessively low temperatures. When the PLC controller issues a level one warning based on the degree of blockage, the heating device controls the pipeline temperature at 50°C; for a level two warning, the temperature is controlled at 65°C; and for a level three warning, the temperature is controlled at 80°C.
[0055] Furthermore, in this example, the stirring device drives the propeller via a variable frequency motor, and the rotation speed is linked to the level of liquid blockage. When the liquid level is below the safety threshold, the anti-sedimentation mode can be activated.
[0056] In one embodiment of this application, adjusting the liquid level includes: when the liquid level is lower than a preset range, controlling the stirring device to enter an anti-sedimentation mode and operate at a low speed; and when the liquid level deviates from the range, replenishing or draining the storage container.
[0057] For example, the stirring device is installed inside the absorbent storage tank and the carbon dioxide storage tank, and consists of a variable frequency motor and a propeller impeller. The variable frequency motor is electrically connected to a PLC controller. The PLC controller adjusts the speed of the variable frequency motor according to the liquid level and the pipeline blockage warning level. When the liquid level is lower than the preset safety threshold (i.e., the lowest threshold of the preset normal liquid level range), the anti-sedimentation mode is activated, and the variable frequency motor drives the propeller at a speed of 150 r / min to prevent the medium from settling. When a first-level blockage warning is received, the speed is adjusted to 200 r / min; for a second-level warning, it is 250 r / min; and for a third-level warning, it is 300 r / min. By enhancing the stirring effect, the conditions for crystal formation are broken, and the dissolution of existing microcrystals is promoted. Furthermore, if the monitored liquid level is higher than the preset normal liquid level range, the storage container is drained; if the monitored liquid level is lower than the preset normal liquid level range, the storage container is replenished.
[0058] Step S105: Control the sonar monitoring module to re-monitor the adjusted data and cyclically regulate the liquid level and crystallization state.
[0059] Specifically, this step involves a feedback phase, such as... Figure 3 As shown, after completing the adjustment process in step S104, the process returns to repeat steps S101 and S102, updating the monitoring data in real time. This allows for dynamic adjustment of control parameters based on the initial control results during the control process, or for cyclical control in subsequent stages after the control is completed.
[0060] As a complete example of the control method of this application, this embodiment first enters the initialization phase during the control process. After the sonar module is activated, the staff inputs parameters such as tank height, pipe diameter, and medium type through the human-machine interface of the central control unit. The system automatically calibrates key monitoring parameters such as sound velocity. After initialization, the system enters the monitoring phase. The dual-function sonar probe alternately switches between liquid level monitoring and crystallization monitoring modes, continuously collecting data and transmitting it to the signal processing unit. After signal processing, the signal processing unit sends the liquid level data and blockage data to the central control unit, which analyzes and makes decisions: if the liquid level is normal and there is no risk of blockage, the system continues to monitor in a loop; if an abnormal liquid level or crystallization blockage warning is detected, an instruction is immediately issued to the dynamic intervention module to activate the heating device or stirring device for intervention. During the intervention process, the sonar monitoring module provides real-time feedback of monitoring data, and the central control unit dynamically adjusts the heating temperature or stirring speed according to the feedback data until the liquid level returns to normal and the risk of blockage is eliminated. Subsequently, the system returns to the monitoring phase and continues to perform adaptive intervention.
[0061] In summary, the sonar-based adaptive intervention method for regulating liquid level and crystallization state in a carbon capture system, as described in this application, utilizes sonar technology to achieve non-contact monitoring of liquid level and pipeline crystallization state. By switching modes using a dual-function sonar probe, it addresses both liquid level measurement and crystallization detection needs, overcoming the limitations of traditional split-type solutions. Combined with closed-loop control of heating and stirring, it achieves full automation of monitoring, early warning, and handling, proactively preventing equipment failures and safety accidents caused by crystallization, and effectively reducing the probability of problems such as level gauge malfunction and pipeline blockage caused by crystallization. Furthermore, this method can reduce the frequency of downtime maintenance in the carbon capture system, extend equipment lifespan, and improve system operational stability; it can also prevent carbon dioxide escape due to level malfunction or pipeline leakage, further ensuring the environmental friendliness and safety of the carbon capture system.
[0062] To achieve the above embodiments, this application also proposes a sonar-adaptive intervention-based system for regulating the liquid level and crystallization state of a carbon capture system. Figure 4 This is a schematic diagram of the structure of a sonar-adaptive intervention-based carbon capture system for regulating liquid level and crystallization state, as proposed in an embodiment of this application. Figure 4 As shown, the system includes: The initialization module 100 is used to install multiple sonar sensors from the sonar monitoring module at multiple easily clogged locations on the top of the storage container and in the pipes of the carbon capture system, and to calibrate the monitoring parameters of the sonar monitoring module according to the status parameters of the carbon capture system. The sonar monitoring module supports dual monitoring modes of liquid level and crystallization.
[0063] The monitoring module 200 is used to transmit ultrasonic waves into the storage container and pipes in the carbon capture system via a sonar monitoring module and acquire multiple characteristics of the received reflected waves.
[0064] The determination module 300 is used to perform calculations and analysis on multiple characteristics of the reflected wave through the central control unit to determine the liquid level in the storage container and to determine whether there is crystallization blockage in the carbon capture system.
[0065] The adjustment module 400 is used to adjust the liquid level height and, in the event of crystallization blockage, to control the dynamic intervention module to eliminate the crystallization blockage.
[0066] The circulation module 500 is used to control the sonar monitoring module to re-monitor and adjust the data, and to circulate and regulate the liquid level and crystallization state.
[0067] It should be noted that the explanation of the above-described embodiment of the method for regulating the liquid level and crystallization state of the carbon capture system based on sonar adaptive intervention also applies to the system of this embodiment, and will not be repeated here.
[0068] In summary, the sonar-adaptive intervention-based carbon capture system for regulating liquid level and crystallization state in this application utilizes sonar technology to achieve non-contact monitoring of liquid level and pipeline crystallization state. Through mode switching of a dual-function sonar probe, it addresses both liquid level measurement and crystallization detection needs, overcoming the limitations of traditional split-type solutions. Combined with closed-loop control of heating and stirring, it achieves full-process automation of monitoring, early warning, and handling, proactively preventing equipment failures and safety accidents caused by crystallization, and effectively reducing the probability of problems such as level gauge malfunction and pipeline blockage caused by crystallization. Furthermore, this system can reduce the frequency of downtime maintenance in the carbon capture system, extend equipment lifespan, and improve system operational stability; it can also prevent carbon dioxide escape due to level malfunction or pipeline leakage, further ensuring the environmental friendliness and safety of the carbon capture system.
[0069] To implement the above embodiments, this application also proposes an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the sonar-adaptive intervention-based method for regulating the liquid level and crystallization state of a carbon capture system as described in any of the first aspect embodiments above.
[0070] To implement the above embodiments, this application also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention as described in any one of the first aspect embodiments above.
[0071] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0072] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0073] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0074] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0075] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0076] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
[0077] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0078] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.
Claims
1. A method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention, characterized in that, Includes the following steps: Multiple sonar sensors in the sonar monitoring module are installed on the top of the storage container and in multiple easily blocked locations in the pipes of the carbon capture system. The monitoring parameters of the sonar monitoring module are calibrated according to the status parameters of the carbon capture system. The sonar monitoring module supports dual monitoring modes of liquid level and crystallization. The sonar monitoring module emits ultrasonic waves into the storage container and pipes of the carbon capture system and acquires multiple characteristics of the received reflected waves. The central control unit performs calculations and analysis on multiple characteristics of the reflected wave to determine the liquid level in the storage container and to determine whether the carbon capture system is blocked by crystallization. The liquid level is adjusted according to the liquid level height, and in the event of crystallization blockage, the dynamic intervention module is controlled to work to eliminate the crystallization blockage; The sonar monitoring module is controlled to re-monitor the adjusted data and cyclically regulate the liquid level and crystallization state.
2. The method according to claim 1, characterized in that, The process involves emitting ultrasonic waves into the storage container and pipes of the carbon capture system via the sonar monitoring module and acquiring multiple characteristics of the received reflected waves, including: The propagation time between the emission of the ultrasonic wave and its return is obtained by vertically emitting ultrasonic waves through a sonar sensor located on top of the storage container. Determining the liquid level height within the storage container includes: The liquid level in the storage container is calculated based on the ultrasonic transmission speed and the propagation time.
3. The method according to claim 1, characterized in that, The process involves emitting ultrasonic waves into the storage container and pipes of the carbon capture system via the sonar monitoring module and acquiring multiple characteristics of the received reflected waves, including: The sonar sensor located on the pipe emits ultrasonic waves into the pipe and the storage container to continuously monitor the frequency, amplitude and propagation time of the reflected waves within a preset time period. The determination of whether the carbon capture system is blocked by crystallization includes: Analyze the changes in the frequency, amplitude, and propagation time of the reflected wave within the preset time period, and determine whether crystallization blockage exists and the location and degree of blockage based on the changes.
4. The method according to claim 3, characterized in that, The method of acquiring multiple characteristics of the received reflected wave also includes: acquiring the energy distribution state of the reflected wave; The determination of whether the carbon capture system is blocked by crystallization includes: Based on the energy distribution state of the reflected wave, the slope of the energy distribution curve of the reflected wave is calculated, and the slope of the energy distribution curve is compared with a preset linear slope. If the slope of the energy distribution curve deviates from the linear slope, it is determined that there is crystal blockage. The flow rate of the medium in the pipeline is compared with a preset flow rate range. If the flow rate of the medium exceeds the preset flow rate range, it is determined that there is crystallization blockage.
5. The method according to claim 1, characterized in that, Before acquiring multiple characteristics of the received reflected wave, the method further includes: The received reflected wave is filtered, and the filtered reflected wave is amplified. The amplified reflected wave is converted into a digital signal.
6. The method according to claim 3, characterized in that, The control dynamic intervention module operates to eliminate crystallization blockage, including: The pipe is heated by a heating device arranged on the pipe, and the heating temperature is adjusted by a PID control algorithm. The stirring device arranged inside the storage container is controlled to rotate, wherein the stirring device includes a variable frequency motor and a propeller, and the rotational speed of the variable frequency motor corresponds to the degree of blockage.
7. The method according to claim 6, characterized in that, The liquid level adjustment for the liquid level height includes: When the liquid level is lower than the preset liquid level range, the stirring device is controlled to enter the anti-sedimentation mode and operate at a low speed. If the liquid level deviates from the specified range, the storage container may be replenished or drained.
8. A sonar-based adaptive intervention system for regulating the liquid level and crystallization state of a carbon capture system, characterized in that, Includes the following modules: An initialization module is used to install multiple sonar sensors from the sonar monitoring module at multiple easily clogged locations on the top of the storage container and in the pipes of the carbon capture system, and to calibrate the monitoring parameters of the sonar monitoring module according to the status parameters of the carbon capture system. The sonar monitoring module supports dual monitoring modes of liquid level and crystallization. The monitoring module is used to transmit ultrasonic waves into the storage container and pipes in the carbon capture system through the sonar monitoring module, and to acquire multiple characteristics of the received reflected waves. The determination module is used to perform calculations and analysis on multiple characteristics of the reflected wave through the central control unit to determine the liquid level height in the storage container and to determine whether there is crystallization blockage in the carbon capture system; The adjustment module is used to adjust the liquid level height and, in the event of crystallization blockage, control the dynamic intervention module to eliminate the crystallization blockage. The circulation module is used to control the sonar monitoring module to re-monitor the adjusted data and to cyclically regulate the liquid level and crystallization state.
9. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method for regulating the liquid level and crystallization state of a carbon capture system based on sonar adaptive intervention as described in any one of claims 1-7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for regulating the liquid level and crystallization state of the carbon capture system based on sonar adaptive intervention as described in any one of claims 1-7.