Anti-blocking control method, device and equipment for intelligent valve and storage medium

Abstract

The invention discloses an anti-blocking control method, device and equipment for an intelligent valve and a storage medium, and relates to the technical field of industrial valve control. According to the method, valve inlet and outlet pressure signals are collected, the blockage risk is judged according to the pressure signals, the pulverized coal deposition trend is recognized in advance, a traditional passive treatment mode after blockage occurs is replaced, and the self-cleaning action can be triggered in time at the initial stage of blockage; primary pulverized coal deposition in the valve is stripped through targeted cleaning actions, valve jamming and unsmooth circulation caused by continuous accumulation of deposition are avoided, and the effects of actively preventing blockage and reducing serious faults are achieved. Therefore, the stable operation of the valve under the severe working condition of pulverized coal feeding can be guaranteed, the non-planned shutdown loss caused by blockage is reduced, meanwhile, the frequency of manual cleaning and maintenance is reduced, and the continuous operation duration of the valve is prolonged.

Description

Technical Field

[0001] This application relates to the field of industrial valve control technology, and in particular to an intelligent valve anti-clogging control method, device, equipment and storage medium. Background Technology

[0002] In the production processes of industries such as coal chemical engineering and thermal power generation, pulverized coal feed valves, as key control equipment, need to operate for extended periods in harsh environments characterized by high wear, easy clogging, and sudden changes in operating conditions. The pulverized coal medium it conveys is highly abrasive, prone to sedimentation, and may be accompanied by oil vapor, which makes the valve control accuracy susceptible to damage, causes rapid wear of key components, and in severe cases leads to blockage failures, affecting the continuity of production.

[0003] In existing technologies, some solutions classify and adjust parameters for general operating conditions using multi-source sensors and support vector machine models, but fail to design targeted protection and prediction mechanisms for the special characteristics of pulverized coal media. Some technologies only optimize waterproof performance, which is significantly insufficient in resisting the continuous wear and intrusion of pulverized coal particles. More importantly, existing technologies mostly adopt a reactive approach to clogging problems, lacking the ability to predict pulverized coal deposition trends in advance and proactive intervention methods, thus failing to prevent clogging from the source, leading to control lag or even equipment failure. Summary of the Invention

[0004] To address the aforementioned problems, this application provides an intelligent valve anti-clogging control method, apparatus, device, and storage medium, including the following: In a first aspect, this application provides an intelligent valve anti-clogging control method, the method comprising: Collect the inlet and outlet pressure signals of the valve, and determine whether there is a risk of blockage in the valve based on the inlet and outlet pressure signals; When the assessment indicates that the valve is at risk of clogging, the self-cleaning action is triggered.

[0005] Optionally, determining the risk of valve blockage based on inlet and outlet pressure signals includes: The pressure difference between the inlet and outlet pressure signals is calculated, and a short-time Fourier transform is performed on the pressure difference to extract the proportion of low-frequency energy within a preset range. If the proportion of low-frequency energy exceeds a preset threshold for a consecutive preset number of sampling periods, the valve is determined to be at risk of blockage.

[0006] Optionally, when the assessment indicates that the valve is at risk of clogging, the self-cleaning action may be triggered in the following ways: A control command is sent to the actuator, which triggers the actuator to perform cleaning vibration at a preset frequency, amplitude, and duration based on the control command.

[0007] Optionally, the method also includes, The predictive model predicts the flow trend within a preset time period based on the current pressure signal, historical pressure signal, and valve position data; the current pressure signal includes the valve's current inlet pressure signal and current outlet pressure signal, and the historical pressure signal includes the valve's historical inlet pressure signal and historical outlet pressure signal. If a downward trend in flow is predicted, the valve opening is adjusted from the normal control mode to the anti-impact control mode, and the proportional coefficient, integral time, and derivative time in the PID parameters are adjusted.

[0008] Optionally, the method further includes: The joint entropy of the valve position setpoint signal and valve position feedback signal is continuously calculated, and the reliability of the valve position setpoint signal and valve position feedback signal is verified based on the joint entropy. If the combined entropy is within the preset stable range, the valve operation is controlled based on the valve position setpoint signal and the valve position feedback signal; If the joint entropy is lower than the preset confidence threshold, the valve control will switch to a soft sensor signal driven by historical data.

[0009] Optionally, the valve stem area adopts an asymmetric flow guiding structure. The method further includes: guiding the flow direction of the medium carrying coal powder particles through the asymmetric flow guiding structure; the medium is introduced into the interior of the asymmetric flow guiding structure under the action of pressure difference and discharged through the pressure relief channel connected to the asymmetric flow guiding structure, thereby blocking the coal powder particles from impacting the main sealing surface of the valve; a magnetic adsorption component is configured at the outlet end of the asymmetric flow guiding structure to capture the magnetic particles contained in the medium, thereby reducing the wear of the internal components of the valve.

[0010] Secondly, this application provides an intelligent valve anti-clogging control device, the device comprising: The acquisition unit is used to acquire the valve's inlet pressure signal and outlet pressure signal; The judgment unit is used to determine whether there is a risk of blockage in the valve based on the inlet pressure signal and the outlet pressure signal. The self-cleaning trigger unit is used to trigger the self-cleaning action when the judgment result indicates that the valve is at risk of blockage.

[0011] Optionally, the judgment unit is specifically used to calculate the pressure difference between the inlet pressure signal and the outlet pressure signal, perform a short-time Fourier transform on the pressure difference, extract the proportion of low-frequency energy within a preset range, and if the proportion of low-frequency energy exceeds a preset threshold for a consecutive preset number of sampling periods, it is determined that the valve has a risk of blockage.

[0012] Optionally, the self-cleaning trigger unit is specifically used to send a control command to the actuator, the control command being used to trigger the actuator to perform cleaning vibration at a preset frequency, amplitude, and preset duration based on the control command.

[0013] Optionally, the device further includes a flow prediction unit, used to predict the flow trend within a preset time period in the future based on the current pressure signal, historical pressure signal and valve position data using a prediction model; the current pressure signal includes the current inlet pressure signal and the current outlet pressure signal of the valve, and the historical pressure signal includes the historical inlet pressure signal and the historical outlet pressure signal of the valve; If a downward trend in flow is predicted, the valve opening is adjusted from the normal control mode to the anti-impact control mode, and the proportional coefficient, integral time, and derivative time in the PID parameters are adjusted.

[0014] Optionally, the device further includes a signal verification unit for continuously calculating the joint entropy of the valve position setpoint signal and the valve position feedback signal, and verifying the reliability of the valve position setpoint signal and the valve position feedback signal based on the joint entropy. If the combined entropy is within the preset stable range, the valve operation is controlled based on the valve position setpoint signal and the valve position feedback signal; If the joint entropy is lower than the preset confidence threshold, the valve control will switch to a soft sensor signal driven by historical data.

[0015] Optionally, the device also includes a structural protection unit, comprising a flow guiding structure disposed in the valve stem area, a pressure relief channel communicating with the flow guiding structure, and a magnetic adsorption component disposed at the outlet end of the flow guiding structure. The flow guiding structure is used to guide the medium carrying coal powder particles into its own interior under the action of pressure difference and discharge it through the pressure relief channel, thereby blocking the coal powder particles from impacting the main sealing surface of the valve. The magnetic adsorption component is used to capture magnetic particles contained in the medium.

[0016] Thirdly, this application provides an apparatus including a memory and a processor. The memory is used to store instructions or code, and the processor is used to execute the instructions or code so that the apparatus performs the intelligent valve anti-clogging control method described in any of the implementations of the first aspect.

[0017] Fourthly, this application provides a computer-readable storage medium storing code, wherein when the code is executed, a device executing the code implements the intelligent valve anti-clogging control method described in any of the implementations of the first aspect.

[0018] This application provides an intelligent valve anti-clogging control method. When executing this method, the inlet and outlet pressure signals of the valve are collected. Based on these signals, the presence of a clogging risk is determined. When the determination indicates a clogging risk, a self-cleaning action is triggered. By collecting the valve's inlet and outlet pressure signals and using this information to determine the clogging risk, the method achieves early identification of coal dust deposition trends, replacing the traditional passive handling mode after clogging occurs. This allows the self-cleaning action to be triggered promptly in the early stages of clogging. Targeted cleaning removes nascent coal dust deposits from the valve, preventing continuous accumulation that could lead to valve jamming and poor flow. This proactively prevents clogging and reduces the occurrence of serious malfunctions. Thus, the method ensures stable valve operation under harsh coal dust feeding conditions, reduces unplanned downtime losses caused by clogging, reduces the frequency of manual cleaning and maintenance, and extends the valve's continuous operating time. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this embodiment or the prior art, the drawings used in the description of the embodiment or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating an intelligent valve anti-clogging control method provided in this application embodiment; Figure 2 This is a schematic diagram of the structure of an intelligent valve anti-clogging control device provided in an embodiment of this application. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0022] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0023] In the harsh operating conditions of pulverized coal feeding in industries such as coal chemical engineering and thermal power generation, the pulverized coal medium is characterized by high abrasiveness, easy deposition, and frequent oil and vapor buildup. Long-term operation can easily lead to valve blockage and accelerated wear of seals, severely impacting production continuity. This application proposes an intelligent valve anti-clogging control method for this operating condition, which can effectively address the aforementioned problems. Figure 1 This is a flowchart illustrating an intelligent valve anti-clogging control method provided in an embodiment of this application. (In conjunction with...) Figure 1 As shown, the intelligent valve anti-clogging control method provided in this application embodiment may include: S101. Collect the inlet and outlet pressure signals of the valve, and determine whether there is a risk of blockage in the valve based on the inlet and outlet pressure signals.

[0024] The inlet pressure signal is the medium pressure data detected by the pressure sensor installed at the valve inlet, and the outlet pressure signal is the medium pressure data detected by the pressure sensor at the valve outlet. Collecting these two types of signals is to obtain the pressure status at both ends of the valve, providing a basis for judging the risk of blockage.

[0025] In practice, the pressure sensors collect data at a preset frequency and transmit it to the main processor. In this embodiment, the inlet pressure sensor (P_in) and the outlet pressure sensor (P_out) collect data at a frequency of 1kHz. The main processor first calculates the pressure difference between the inlet and outlet pressure signals, and then performs a short-time Fourier transform on the pressure difference. The short-time Fourier transform is a method that can analyze signals simultaneously in the time and frequency domains, clearly showing the changes in the frequency domain characteristics of the signal over time. Here, it is used to extract the proportion of low-frequency energy in a specific frequency band. In this embodiment, it specifically extracts the proportion of low-frequency energy in the 0.5-5Hz range. If the proportion of low-frequency energy exceeds a preset threshold for multiple consecutive sampling periods, the valve is determined to have a risk of blockage. In this embodiment, it specifically exceeds the threshold of 30% for five consecutive sampling periods. This step captures the frequency domain changes of the pressure signal caused by coal powder deposition, enabling early identification of blockage trends. This changes the traditional reactive response mode, buys time for proactive intervention, and effectively reduces the probability of blockage worsening.

[0026] S102. When the judgment result indicates that there is a risk of blockage in the valve, the self-cleaning action is triggered.

[0027] The self-cleaning action is a preventive measure that removes coal dust adhering to the valve by generating vibrations in the actuator. The actuator is the core component that receives control commands and performs vibrations. In this embodiment, a piezoelectric ceramic actuator is used, which can quickly convert electrical signals into mechanical vibrations based on the piezoelectric effect.

[0028] Specifically, the main processor sends control commands to the piezoelectric ceramic actuator. These commands trigger the actuator, which then performs cleaning vibrations at a preset frequency, amplitude, and duration. In this embodiment, the specific parameters are 75Hz, 50% of the maximum amplitude, and 3 seconds. This parameter combination has been experimentally verified to effectively loosen initial coal dust deposits without damaging the valve's mechanical structure, achieving proactive anti-clogging and significantly reducing the incidence of severe blockage events.

[0029] In one implementation of this application, the method further includes: predicting the flow trend within a future preset time period using a prediction model based on the current pressure signal, historical pressure signal, and valve position data. The current pressure signal includes the current inlet pressure signal and the current outlet pressure signal of the valve, and the historical pressure signal includes the historical inlet pressure signal and the historical outlet pressure signal of the valve.

[0030] The prediction model employs a network model adept at processing time-series data and capturing long-term dependencies; specifically, in this embodiment, it is an LSTM (Long Short-Term Memory) network, capable of accurately analyzing the temporal variation patterns of pressure and valve position data. The current pressure signal comprises the real-time collected inlet and outlet pressure signals, from which the inlet and outlet pressure difference is calculated. The historical pressure signal consists of stored past pressure data, and the valve position data represents the valve core opening degree. These three elements collectively support flow prediction. In this embodiment, the future preset time period can represent the flow trend within the next 5 seconds.

[0031] If a decreasing flow rate is predicted, it indicates a risk of sudden changes in operating conditions. This means that changes in flow rate may lead to control instability, pressure fluctuations, and other problems. In this case, the valve opening is adjusted from normal control mode to anti-impact control mode, and the proportional coefficient, integral time, and derivative time in the proportional-integral-derivative (PID) control parameters are adjusted to adopt a more robust parameter combination to adapt to changes in operating conditions. Through dynamic adjustment of these three parameters, the valve control's anti-interference capability can be enhanced, and drastic pressure fluctuations can be suppressed. Specifically, in this embodiment, the response time to sudden changes in operating conditions is shortened to within 0.1 seconds, and the control accuracy is improved by more than 35%.

[0032] In one implementation of this application, the method further includes: continuously calculating the joint entropy of the valve position setpoint signal and the valve position feedback signal, and verifying the reliability of the two types of signals based on the joint entropy. The valve position setpoint signal is the target opening command sent by the control system, and the valve position feedback signal is the actual opening detection signal fed back by the valve in real time through the sensor. The joint entropy is an indicator that measures the uncertainty and correlation of the two signals and can intuitively reflect the reliability of the signals. If the joint entropy is within a preset stable range, the two types of signals are determined to be reliable, and the valve is controlled based on them; if the joint entropy is lower than a preset reliability threshold, it indicates that the signal is stuck or abruptly changed. At this time, the control is switched to the soft sensor signal driven by historical data, that is, the alternative control signal predicted by the algorithm based on past operating data. This step breaks through the signal redundancy logic of traditional three-way selection or majority voting, and addresses vibration interference by deeply analyzing the essential characteristics of the signal, ensuring the continuity of valve control.

[0033] In one implementation of this application, the method further includes: an asymmetric flow guiding structure is adopted in the valve stem area of ​​the valve. This structure differs from the special design of the traditional direct impact type, and can change the flow path of the medium, guiding the coal powder particles away from the key sealing surface. When the high-pressure side medium flows in, the asymmetric flow guiding structure guides the flow direction of the medium carrying coal powder particles, causing some of the medium to enter the particle deflection path. Under the action of pressure difference, the medium is introduced into the interior of the flow guiding structure and then discharged through the pressure relief channel connected to it. The pressure relief channel is a channel specifically used to discharge the medium containing particles, which can block the coal powder particles from directly impacting the main sealing surface, protecting the main sealing surface, and allowing clean airflow to pass smoothly through the main seal. A magnetic adsorption component is configured at the outlet end of the flow guiding structure. In this application embodiment, the magnetic adsorption component is specifically a magnetic adsorption ring, which uses magnetism to capture magnetic particles in the medium, and finally the medium is discharged from the low-pressure side. This structural design changes the way wear occurs at the physical level, transforming the high-wear mode of particles directly impacting the sealing surface in traditional designs into a low-wear mode where particles are guided and deflected. This greatly reduces the wear of internal valve components. Specifically, in this embodiment, it is expected to extend the service life of critical seals (such as valve stem seals) by more than 3 times, reducing unplanned downtime losses.

[0034] The above are some specific implementations of an intelligent valve anti-clogging control method provided in the embodiments of this application. Based on this, this application also provides a corresponding device. The device provided in the embodiments of this application will be described below from the perspective of functional modularity.

[0035] Figure 2 This is a structural schematic diagram of an intelligent valve anti-clogging control device provided in an embodiment of this application. (Combined with...) Figure 2 As shown, the intelligent valve anti-clogging control device 200 provided in this application embodiment includes: Acquisition unit 210 is used to acquire the inlet pressure signal and outlet pressure signal of the valve; Judgment unit 220 is used to determine whether there is a risk of blockage in the valve based on the inlet pressure signal and the outlet pressure signal; The self-cleaning trigger unit 230 is used to trigger a self-cleaning action when the judgment result indicates that the valve is at risk of blockage.

[0036] In one implementation of this application, the judgment unit is specifically used to calculate the pressure difference between the inlet pressure signal and the outlet pressure signal, perform a short-time Fourier transform on the pressure difference, extract the proportion of low-frequency energy within a preset range, and if the proportion of low-frequency energy exceeds a preset threshold for a consecutive preset number of sampling periods, then the valve is determined to have a risk of blockage.

[0037] In one implementation of this application, the self-cleaning trigger unit is specifically used to send a control command to the actuator, which triggers the actuator to perform cleaning vibration at a preset frequency, amplitude, and preset duration based on the control command.

[0038] In one implementation of this application, the apparatus further includes a flow prediction unit, configured to predict the flow trend within a preset time period based on the current pressure signal, historical pressure signal, and valve position data using a prediction model; the current pressure signal includes the current inlet pressure signal and the current outlet pressure signal of the valve, and the historical pressure signal includes the historical inlet pressure signal and the historical outlet pressure signal of the valve; If a downward trend in flow is predicted, the valve opening is adjusted from the normal control mode to the anti-impact control mode, and the proportional coefficient, integral time, and derivative time in the PID parameters are adjusted.

[0039] In one implementation of this application, the apparatus further includes a signal verification unit, used to continuously calculate the joint entropy of the valve position setpoint signal and the valve position feedback signal, and verify the reliability of the valve position setpoint signal and the valve position feedback signal based on the joint entropy. If the combined entropy is within the preset stable range, the valve operation is controlled based on the valve position setpoint signal and the valve position feedback signal; If the joint entropy is lower than the preset confidence threshold, it indicates that there is a stalemate or abrupt change in the valve position set signal or valve position feedback signal. In this case, the system switches to the soft sensor signal driven by historical data for valve control to ensure the continuity of valve control.

[0040] In one implementation of this application, the device further includes a structural protection unit, comprising a flow guiding structure disposed in the valve stem region, a pressure relief channel communicating with the flow guiding structure, and a magnetic adsorption component disposed at the outlet end of the flow guiding structure. The flow guiding structure is used to guide the medium carrying coal powder particles into its own interior under the action of pressure difference and discharge it through the pressure relief channel, thereby blocking the coal powder particles from impacting the main sealing surface of the valve. The magnetic adsorption component is used to capture magnetic particles contained in the medium.

[0041] This application also provides corresponding devices and computer storage media for implementing the solutions provided in this application.

[0042] The device includes a memory and a processor. The memory is used to store instructions or code, and the processor is used to execute the instructions or code to cause the device to perform the method of any embodiment of this application.

[0043] The computer storage medium stores code, and when the code is run, the device running the code implements the method of any embodiment of this application.

[0044] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the methods of the above embodiments can be implemented by means of software plus a general-purpose hardware platform. Based on this understanding, the technical solution of this application can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as a read-only memory (ROM) / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network communication device such as a router) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0045] It is understood that in the specific embodiments of this application, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved need to obtain user permission or consent when the above embodiments of this application are applied to specific products or technologies, and the collection, use and processing of related data need to comply with the relevant laws, regulations and standards of relevant countries and regions.

[0046] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0047] It should also be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for the device and apparatus embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments. The device and apparatus embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0048] The above description is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A smart valve anti-clogging control method, characterized by, The method is applied to harsh working conditions of coal powder feeding, and the method comprises the following steps: Collecting an inlet pressure signal and an outlet pressure signal of the valve, and judging whether the valve has a risk of blockage based on the inlet pressure signal and the outlet pressure signal; When the judgment result indicates that the valve has a risk of blockage, triggering a self-cleaning action.

2. The method of claim 1, wherein, The judgment of whether the valve has a risk of blockage based on the inlet pressure signal and the outlet pressure signal comprises the following steps: Calculating a pressure difference between the inlet pressure signal and the outlet pressure signal, performing short-time Fourier transform on the pressure difference, extracting a low-frequency energy ratio in a preset range, and if the low-frequency energy ratio exceeds a preset threshold value in a continuous preset number of sampling periods, determining that the valve has a risk of blockage.

3. The method of claim 1, wherein, When the judgment result indicates that the valve has a risk of blockage, triggering a self-cleaning action comprises the following steps: Sending a control instruction to an actuator, and the control instruction is used to trigger the actuator to perform cleaning vibration at a preset frequency, amplitude and preset time length based on the control instruction.

4. The method of claim 1, wherein, The method further comprises the following steps: Predicting a flow trend in a future preset time period by a prediction model according to a current pressure signal, a historical pressure signal and a valve position data; the current pressure signal comprises a current inlet pressure signal and a current outlet pressure signal of the valve, and the historical pressure signal comprises a historical inlet pressure signal and a historical outlet pressure signal of the valve; If the flow trend is predicted to be in a downward trend, adjusting a valve opening degree from a normal control mode to an anti-impact control mode, and adjusting a proportional coefficient, an integral time and a differential time in proportional-integral-differential control parameters.

5. The method of claim 1, wherein, The method further comprises the following steps: Continuously calculating a joint entropy of a valve position given signal and a valve position feedback signal of the valve, and checking a credibility of the valve position given signal and the valve position feedback signal based on the joint entropy; If the joint entropy is in a preset stable range, controlling the valve to operate based on the valve position given signal and the valve position feedback signal; If the joint entropy is lower than a preset credibility threshold value, switching to a historical data driven soft sensor signal to control the valve.

6. The method of claim 1, wherein, An asymmetric flow guide structure is used in a valve stem area of the valve, and the method further comprises the following steps: A medium flow carrying coal powder particles is guided through the asymmetric flow guide structure, the medium is introduced into the asymmetric flow guide structure under the action of a pressure difference, and is discharged through a pressure relief channel communicated with the asymmetric flow guide structure to block the impact of the coal powder particles on a main sealing surface of the valve; a magnetic adsorption component is arranged at an outlet end of the asymmetric flow guide structure, and magnetic particles contained in the medium are captured through the magnetic adsorption component to reduce the wear degree of internal components of the valve.

7. An intelligent valve anti-fouling control apparatus, comprising: The device comprises: An acquisition unit configured to collect an inlet pressure signal and an outlet pressure signal of the valve; A judgment unit configured to judge whether the valve has a risk of blockage based on the inlet pressure signal and the outlet pressure signal; A self-cleaning triggering unit configured to trigger a self-cleaning action when the judgment result indicates that the valve has the risk of blockage.

8. The apparatus of claim 7, wherein, The judging unit is specifically configured to calculate a pressure difference between the inlet pressure signal and the outlet pressure signal, perform short-time Fourier transform on the pressure difference, extract a low-frequency energy proportion in a preset range, and determine that the valve has a risk of blockage if the low-frequency energy proportion exceeds a preset threshold in a continuous preset number of sampling periods.

9. A computing device, comprising: The computing device comprises a memory and a processor; The memory is configured to store a computer program; The processor is configured to implement the steps of the method according to any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The computer program is stored on the computer readable storage medium and is configured to implement the steps of the method according to any one of claims 1 to 6 when executed by the processor.

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