A material conveying and cleaning control method and a material pneumatic conveying system

Abstract

This invention relates to the field of material conveying technology and discloses a material conveying cleaning control method, comprising: acquiring the operating status information of corresponding components in the current material conveying cleaning control system, and determining the current system operating status based on the operating status information; if the system operating status does not meet the set auxiliary cleaning conditions, then continuing to acquire the status; if the system operating status meets the set auxiliary cleaning conditions, then determining the operating parameters of each component in the auxiliary air path assembly, and determining the working status of each component in the auxiliary air path assembly based on the operating parameters to perform pipeline cleaning operations. The solution in this invention can accurately determine the operating parameters and working status of each component in the auxiliary air path assembly when the system operating status meets the conditions, and perform targeted pipeline cleaning. This can avoid unnecessary cleaning actions, reduce cleaning time and resource waste, and improve overall cleaning efficiency.

Description

Technical Field

[0001] This invention relates to the field of material conveying technology, and specifically to a material conveying cleaning control method and system. Background Technology

[0002] Currently, chopped glass fiber is widely used in industrial production, and its conveying method is crucial. At present, chopped glass fiber is mostly conveyed continuously using chain drives. In actual production processes, the chain drive system works in conjunction with settling equipment to evenly distribute the chopped fibers onto the conveyor belt. This combination is particularly suitable for continuous production processes such as weaving. However, the chain drive system itself has a complex structure, encompassing numerous components such as drive rollers, driven rollers, supports, baffles, and proximity switches. Furthermore, to ensure stable fiber distribution on the conveyor belt, supports and baffles are added to both sides of the belt, which undoubtedly further increases the lateral space occupied, resulting in an uneconomical use of space. Simultaneously, chain drives are prone to causing dust escape during operation, adversely affecting the production environment.

[0003] Besides chain drives, conventional pneumatic conveying systems are also an option for conveying chopped glass fibers. These systems mainly consist of pipe assemblies connected to a negative pressure suction device, utilizing the principle of negative pressure suction to achieve material transport. However, when facing long-distance transport requirements, since the negative pressure suction device is generally installed at the end of the pipe assembly, a high air pressure is often required to ensure suction effectiveness, typically exceeding 49 kPa. During this process, the closer the chopped glass fibers are to the end of the pipe assembly, the greater the pressure they bear, making them easily dispersed by the strong air pressure, leading to tangling and severely interfering with transport efficiency, negatively impacting the quality of the final product. Therefore, designing a solution for efficient material transport has become a pressing technical problem for those skilled in the art. Summary of the Invention

[0004] To address the aforementioned deficiencies, this invention discloses a material conveying and cleaning control method that enables efficient material conveying.

[0005] The first aspect of this invention discloses a material conveying and cleaning control method, comprising:

[0006] Obtain the operating status information of the corresponding components in the current material conveying and cleaning control system, and determine the current system operating status based on the operating status information;

[0007] If the system's operating status does not meet the set auxiliary cleaning conditions, then continue acquiring the status.

[0008] If the system's operating status meets the set auxiliary cleaning conditions, the operating parameters of each component in the auxiliary gas path assembly are determined, and the working status of each component in the auxiliary gas path assembly is determined according to the operating parameters to perform pipeline cleaning operations.

[0009] As an optional implementation, in the first aspect of the present invention, the step of obtaining the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0010] Obtain weight detection information within a set time range detected by the weight sensor located at the weighing hopper in the current material conveying and cleaning control system;

[0011] If the difference in weight detection information within a set time range is less than a set change threshold, then the current system operating state is determined to be a blocked state.

[0012] If the difference in weight detection information within a set time range is not less than a set change threshold, then the current system operating state is determined to be a non-blocking state.

[0013] As an optional implementation, in the first aspect of the present invention, the step of obtaining the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0014] Obtain weight detection information within a set time range detected by the weight sensor located at the weighing hopper in the current material conveying and cleaning control system;

[0015] A corresponding gravity change curve is generated based on the weight detection information, wherein the horizontal axis of the gravity change curve is time and the vertical axis is weight.

[0016] The gravity change curve is calculated using a sliding window to obtain material flow information for each time period, and the corresponding steady-state flow information is determined based on the material flow information for each time period.

[0017] The corresponding mutation threshold is determined based on the steady-state flow information and a pre-set mutation threshold formula, wherein the mutation threshold formula is: Where k is the mutation threshold, and μ is the steady-state flow information. This represents the material flow information for the i-th time period, where N is the total number of time periods.

[0018] The material flow information in each time period is compared with the mutation threshold. If the material flow information is within the mutation threshold range, the current system operation status is determined to be normal. If the material flow information is not within the mutation threshold range, the current system operation status is determined to be blocked.

[0019] As an optional implementation, in the first aspect of the present invention, determining the corresponding mutation threshold based on the steady-state flow information and a pre-set mutation threshold formula includes:

[0020] At set intervals, a corresponding mutation threshold is determined based on the steady-state flow information and a pre-set mutation threshold formula.

[0021] After determining the corresponding mutation threshold based on the steady-state flow information and a pre-set mutation threshold formula, the method further includes:

[0022] The time range exceeding the negative threshold and the material flow signal are determined, and the corresponding blockage parameters are calculated according to the set blockage detection formula, which is:

[0023] Where A is the blockage parameter, Here, μ represents the material flow rate information for the corresponding time period, k represents the steady-state flow rate information, and k represents the abrupt change threshold.

[0024] The current system operating status is determined by matching the blockage parameters with the set blockage range.

[0025] As an optional implementation, in the first aspect of the present invention, the step of obtaining the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0026] Obtain weight detection information within a set time range detected by the weight sensor located at the weighing hopper in the current material conveying and cleaning control system;

[0027] A corresponding gravity change curve is generated based on the weight detection information, wherein the horizontal axis of the gravity change curve is time and the vertical axis is weight.

[0028] The gravity change curve is calculated using a sliding window to determine the weight change parameters at each stage. The weight change parameters at each stage are then matched with a set change mode to determine the current system operating status.

[0029] As an optional implementation, in the first aspect of the present invention, the step of obtaining the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0030] The video information captured by the camera set in the first bend area of ​​the vertical pipe is obtained, the key frames in the video information are extracted as the image to be identified, and the image to be identified is preprocessed, including grayscale change processing and noise reduction processing.

[0031] The pre-processed, time-series images to be identified are input into a pre-built state recognition model for identification to determine the material aggregation status information at each time stage;

[0032] The presence of blockages in the first bend area is determined based on the material accumulation status information at each time stage.

[0033] As an optional implementation, in the first aspect of the present invention, the step of obtaining the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0034] The video information captured by the camera set in the second bend area of ​​the vertical pipe is obtained, the key frames in the video information are extracted as the image to be identified, and the image to be identified is preprocessed, including grayscale change processing and noise reduction processing.

[0035] Based on the assumption of constant brightness, an optical flow constraint equation is established, and an optical flow calculation algorithm is used to solve the optical flow constraint equation to obtain the optical flow vector of the pixel in the corresponding image frame.

[0036] The corresponding material flow direction image is generated based on the optical flow vector of the pixels in the corresponding image frame, and the material flow direction image is input into the pre-built optical flow recognition model for recognition to determine the current system operating status.

[0037] A second aspect of this invention discloses a pneumatic material conveying system, comprising a feeding device and a storage device, wherein the feeding device is disposed at the raw material end and the storage device is disposed at the equipment end; a discharge pipe is disposed on the feeding device, and a first solenoid valve is disposed on the discharge pipe; characterized in that it further comprises:

[0038] A conveying pipeline assembly includes a low-level horizontal pipeline arranged in a horizontal direction, a vertical pipeline arranged in a vertical direction, and a high-level horizontal pipeline arranged in a horizontal direction; the inlet end of the low-level horizontal pipeline is connected to the discharge pipe of the feeding device, and its outlet end is connected to the lower inlet of the vertical pipeline; the upper outlet of the vertical pipeline is connected to the inlet of the high-level horizontal pipeline, and the outlet of the high-level horizontal pipeline is connected to the inlet of the storage device.

[0039] An auxiliary air path assembly includes a main compressed air supply pipe and two compressed air branch pipes. The inlet end of the main compressed air supply pipe is connected to an external air compressor. The inlets of the two compressed air branch pipes are respectively connected to the outlet ends of the main compressed air supply pipe. The outlet end of one of the compressed air branch pipes is connected to the lower end of the vertical pipe, and the outlet end of the other compressed air branch pipe is connected to the middle of the elevated horizontal pipe.

[0040] A negative pressure suction device, wherein the suction port of the negative pressure suction device is connected to the inner cavity of the high-level horizontal pipe through a negative pressure suction pipe; a second solenoid valve is provided on the suction pipe;

[0041] A positive pressure blowing device, wherein the air outlet of the positive pressure blowing device is connected to the air inlet of the low-level horizontal pipe through a positive pressure blowing pipe; a third solenoid valve is provided on the positive pressure blowing pipe;

[0042] A central controller, the signal output terminal of which is connected to the signal input terminals of the first solenoid valve, the second solenoid valve, the third solenoid valve, the negative pressure suction device, and the positive pressure suction device, respectively; the central controller is used to execute the material conveying and cleaning control method described in any one of the objectives of this invention.

[0043] A third aspect of the present invention discloses an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor calling the executable program code stored in the memory to execute the material conveying and cleaning control method disclosed in the first aspect of the present invention.

[0044] A fourth aspect of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the material conveying and cleaning control method disclosed in the first aspect of the present invention.

[0045] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0046] The solution in this embodiment of the invention can accurately determine the operating parameters and working status of each component in the auxiliary gas path assembly when the system operating conditions are met, and perform targeted cleaning of the pipeline. This can avoid unnecessary cleaning actions, reduce cleaning time and resource waste, and ensure timely and effective cleaning when needed, thereby improving overall cleaning efficiency. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a schematic flowchart of the material conveying and cleaning control method disclosed in an embodiment of the present invention;

[0049] Figure 2 This is a schematic diagram of the process for identifying blockages using gravity change curves, as disclosed in an embodiment of the present invention.

[0050] Figure 3 This is a schematic diagram of the process of using a camera to identify congestion, as disclosed in an embodiment of the present invention.

[0051] Figure 4 This is a schematic diagram of the pneumatic material conveying system of the present invention;

[0052] Figure 5 This is a schematic diagram of the feeding device, positive pressure blowing device and low-level horizontal pipe of the present invention.

[0053] Figure 6 This is a schematic diagram of the conveying pipeline assembly of the present invention;

[0054] Figure 7 This is a schematic diagram of the negative pressure suction device of the present invention;

[0055] Figure 8 This is a schematic diagram of the material storage device of the present invention;

[0056] Figure 9 This is a schematic diagram of the auxiliary air path assembly of the present invention;

[0057] Figure 10 This is a schematic diagram of the automatic packaging machine of the present invention;

[0058] Figure 11 This is a schematic diagram of the weighing hopper assembly of the automatic packaging machine of the present invention;

[0059] Figure 12This is a circuit block diagram of the present invention;

[0060] Figure 13 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0061] Reference numerals: 10. Feeding device; 11. Discharge pipe; 12. First solenoid valve; 20. Storage device; 21. Feeder; 22. Buffer tank; 30. Conveying pipeline assembly; 31. Low-level horizontal pipeline; 32. Vertical pipeline; 33. High-level horizontal pipeline; 34. First elbow; 36. Second elbow; 40. Negative pressure suction device; 41. Negative pressure suction pipeline; 42. Second solenoid valve; 43. Filter; 50. Positive pressure blowing device; 51. Positive pressure blowing pipeline; 52. Third solenoid valve; 60. 70. Central controller; 71. Auxiliary air circuit assembly; 72. Compressed air main pipe; 73. Compressed air branch pipe; 74. Compressed air main branch pipe; 85. Pneumatic ball valve; 86. Pressure reducing valve; 87. Flow balancing valve; 88. Check valve; 89. Pressure regulating valve; 80. Flow control valve; 91. Fourth solenoid valve; 92. Automatic packaging machine; 93. Frame; 94. Weighing hopper assembly; 95. Hopper shell; 96. Weighing mechanism; 97. Unloading mechanism. Detailed Implementation

[0062] 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.

[0063] It should be noted that the terms "first," "second," "third," "fourth," etc., in the specification and claims of this invention are used to distinguish different objects, not to describe a specific order. The terms "comprising" and "having," and any variations thereof, in the embodiments of this invention are intended to cover non-exclusive inclusion. Exemplarily, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products, or devices.

[0064] Example 1

[0065] Please see Figure 1 , Figure 1This is a flowchart illustrating the material conveying and cleaning control method disclosed in this embodiment of the invention. The execution entity of the method described in this embodiment is an execution entity composed of software and / or hardware. This execution entity can receive relevant information via wired or / or wireless means and can send certain instructions. It may also have certain processing and storage functions. This execution entity can control multiple devices, such as remote physical servers or cloud servers and related software, or local hosts or servers and related software that perform related operations on devices located in a certain location. In some scenarios, multiple storage devices can also be controlled; these storage devices may be placed in the same location as the devices or in different locations. Figure 1 As shown, the material conveying and cleaning control method includes the following steps:

[0066] S101: Obtain the operating status information of the corresponding components in the current material conveying and cleaning control system, and determine the current system operating status based on the operating status information;

[0067] S102: If the system operating status does not meet the set auxiliary cleaning conditions, then continue to acquire the status;

[0068] S103: If the system operating status meets the set auxiliary cleaning conditions, the operating parameters of each component in the auxiliary air circuit assembly are determined, and the working status of each component in the auxiliary air circuit assembly is determined according to the operating parameters to perform pipeline cleaning operation.

[0069] More preferably, the step of acquiring the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0070] Obtain weight detection information within a set time range detected by the weight sensor located at the weighing hopper in the current material conveying and cleaning control system;

[0071] If the difference in weight detection information within a set time range is less than a set change threshold, then the current system operating state is determined to be a blocked state.

[0072] If the difference in weight detection information within a set time range is not less than a set change threshold, then the current system operating state is determined to be a non-blocking state.

[0073] This invention determines the system's operating status by acquiring the operating status information of corresponding components, enabling real-time monitoring of the material conveying and cleaning control system's operation. Based on this, it determines whether set auxiliary cleaning conditions are met, and then decides whether to perform a cleaning operation. This changes the potential for blind or untimely cleaning in traditional cleaning methods, making the cleaning work more targeted and intelligent. The auxiliary cleaning conditions in this invention include material conveying stop conditions and blockage conditions. The cleaning here is mainly achieved by blowing air to convey the material.

[0074] When the system operating conditions are met, this invention can accurately determine the operating parameters and working status of each component in the auxiliary gas path assembly, and perform targeted cleaning of the pipeline. This avoids unnecessary cleaning actions, reduces cleaning time and resource waste, and ensures timely and effective cleaning when needed, thus improving overall cleaning efficiency.

[0075] This invention continuously monitors the operating status of components and performs cleaning as needed, which helps to promptly identify potential problems in the system, such as component wear and blockages. Addressing these problems before they affect the normal operation of the material conveying system reduces the incidence of system failures, ensures the stable operation of the material conveying system, and minimizes downtime and production losses caused by malfunctions.

[0076] More preferably, the step of acquiring the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0077] S1011: Obtain weight detection information within a set time range detected by the weight sensor set at the weighing hopper in the current material conveying and cleaning control system;

[0078] S1012: Generate a corresponding gravity change curve based on the weight detection information, wherein the horizontal axis of the gravity change curve is time and the vertical axis is weight;

[0079] S1013: The gravity change curve is calculated by a sliding window to obtain the material flow information in each time period, and the corresponding steady-state flow information is determined based on the material flow information in each time period.

[0080] S1014: Determine the corresponding mutation threshold based on the steady-state flow information and a pre-set mutation threshold formula, wherein the mutation threshold formula is: Where k is the mutation threshold, and μ is the steady-state flow information. This represents the material flow information for the i-th time period, where N is the total number of time periods.

[0081] S1015: Compare the material flow information in each time period with the mutation threshold. If the material flow information is within the mutation threshold range, the current system operation status is determined to be normal. If the material flow information is not within the mutation threshold range, the current system operation status is determined to be blocked.

[0082] This invention, through acquiring weight detection information from a weight sensor installed at the weighing hopper within a set time range, can accurately reflect the weight changes of materials at the weighing hopper. Based on this, a gravity change curve is generated, with time as the horizontal axis and weight as the vertical axis, intuitively displaying the dynamic change process of material weight over time. This provides a reliable data foundation for subsequent accurate calculation of material flow rate and helps to more meticulously understand the real-time situation of material conveying.

[0083] This invention utilizes a sliding window to calculate the gravity variation curve, obtaining material flow information for each time period, and further determining the corresponding steady-state flow information. This method can filter out relatively stable flow characteristics from complex material flow variation data, eliminating interference caused by factors such as short-term fluctuations. This makes the steady-state flow information more representative of the material conveying level of the system under normal operating conditions, providing a more valuable indicator for subsequent judgment of the system's operating status.

[0084] This invention determines the mutation threshold based on steady-state flow information and a pre-set mutation threshold formula. This formula comprehensively considers material flow information over multiple time periods as well as the steady-state flow information itself. The mutation threshold obtained through this scientific calculation method can more reasonably reflect the fluctuation range of material flow during normal system operation, providing a quantitative standard for accurately judging whether the system has malfunctioned, making the judgment process more objective and reliable.

[0085] Specifically, material flow information within each time period is compared with a sudden change threshold to determine the system's operating status. If the material flow information is within the threshold range, the system is operating normally; if it exceeds this range, the system is considered to be in a congested state. This judgment method, based on precise calculations and scientific standards, can promptly and accurately detect potential anomalies such as blockages during system operation, providing an accurate basis for subsequent appropriate measures. This facilitates rapid response and problem-solving, ensuring the normal operation of the material conveying system. This embodiment of the invention, through continuous monitoring of material flow information and real-time comparison with the sudden change threshold, can detect anomalies in the early stages of system malfunctions such as blockages, achieving effective early warning of system failures. Compared to traditional fault detection methods, this method can detect potential problems earlier, giving maintenance personnel more time for troubleshooting and handling, preventing further escalation of the fault, reducing production interruptions and losses caused by the fault, and improving the system's reliability and stability.

[0086] More preferably, determining the corresponding mutation threshold based on the steady-state flow information and a pre-set mutation threshold formula includes:

[0087] At set intervals, a corresponding mutation threshold is determined based on the steady-state flow information and a pre-set mutation threshold formula.

[0088] After determining the corresponding mutation threshold based on the steady-state flow information and a pre-set mutation threshold formula, the method further includes:

[0089] The time range exceeding the negative threshold and the material flow signal are determined, and the corresponding blockage parameters are calculated according to the set blockage detection formula, which is:

[0090] Where A is the blockage parameter, Here, μ represents the material flow rate information for the corresponding time period, k represents the steady-state flow rate information, and k represents the abrupt change threshold.

[0091] The current system operating status is determined by matching the blockage parameters with the set blockage range.

[0092] Specifically, the mutation threshold is recalculated based on steady-state flow information at set intervals. This is because the operating state of a material conveying system is not static; factors such as material characteristics and wear and tear on conveying equipment change over time. Dynamically updating the mutation threshold allows the system to adapt to these changes in real time, ensuring that the standard for judging the system's operating status always aligns with actual operating conditions and avoiding misjudgments caused by fixed thresholds failing to adapt to system changes. Dynamically adjusted mutation thresholds can more accurately reflect the fluctuation range during normal system operation, leading to more accurate judgments of the system's operating status. For example, after the system has been running for a period, changes in the normal fluctuation range of material flow due to equipment wear and tear can be detected more accurately by timely updating the mutation threshold, thus improving the accuracy of system fault diagnosis.

[0093] This invention quantifies potential system blockages by determining the time range exceeding a negative threshold and the material flow signal, and then using a blockage detection formula to calculate blockage parameters. This formula comprehensively considers material flow information, steady-state flow information, and abrupt change thresholds, accurately reflecting the degree to which the material flow deviates from the normal range within a specific time period. This provides a specific quantitative indicator for determining whether the system is blocked and the severity of the blockage.

[0094] Matching clogging parameters with a set clogging range to determine the current system operating status is a more precise and accurate method than simply comparing material flow rate with a sudden change threshold. It can distinguish between different degrees of clogging, such as minor, moderate, and severe clogging, and control the valve opening degree accordingly to achieve the appropriate cleaning.

[0095] By calculating and analyzing congestion parameters in real time, potential problems can be detected before significant congestion occurs in the system. When the congestion parameters approach the boundary of the set congestion range, a warning signal can be issued in a timely manner to remind operators to take appropriate measures to prevent the congestion from worsening, thereby improving the reliability and stability of the system.

[0096] Specifically, the pneumatic control valves are controlled in stages according to the severity of the blockage. For minor blockages (such as material accumulation not completely blocking the pipeline, with minimal gravity change), the opening of the pneumatic control valve is adjusted appropriately to change the airflow speed and pressure, such as increasing the conveying airflow pressure by 10%-20% to attempt to disperse the blocking material. For moderate blockages (material accumulation partially affecting conveying, with significant gravity change), in addition to adjusting airflow parameters, the upstream and downstream pneumatic control valves can be alternately opened and closed to utilize airflow impact and pressure changes for clearing the blockage. For severe blockages (material completely blocking the pipeline, with drastic gravity change), the emergency plan is activated. In addition to fully controlling the pneumatic control valves to assist in clearing the blockage, manual intervention or other clearing equipment is used for further processing.

[0097] In practical implementation, the gravity change curve can be input into an LSTM model for identification to determine the current blockage status. Besides the above methods, multiple sensors can be combined to determine the location; pressure sensors and weight sensors W are installed at key points in the pipeline. The moment when the flow rate drops is detected is recorded as t, and the moments when the pressure rises are detected by each pressure sensor are recorded as t1, t2, t3. Based on the above, the time difference is determined, and combined with the average velocity, the corresponding specific pipeline section is determined, thus determining the operation of the pneumatic control valves on both sides of that section for cleaning. In practical implementation, each pneumatic control valve is numbered, and the mapping relationship between the number and the section is determined. When the pipeline position is calculated, the pneumatic control valve associated with that position can be activated.

[0098] More preferably, the step of acquiring the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0099] Obtain weight detection information within a set time range detected by the weight sensor located at the weighing hopper in the current material conveying and cleaning control system;

[0100] A corresponding gravity change curve is generated based on the weight detection information, wherein the horizontal axis of the gravity change curve is time and the vertical axis is weight.

[0101] The gravity change curve is calculated using a sliding window to determine the weight change parameters at each stage. The weight change parameters at each stage are then matched with a set change mode to determine the current system operating status.

[0102] Specifically, a sliding window is used to calculate the gravity change curve and determine the weight change parameters at each stage. The sliding window method can analyze the curve within different time windows, capturing local characteristics of weight changes, such as short-term weight fluctuations or weight change trends over longer periods. Analyzing these parameters provides a more detailed understanding of the dynamic weight change characteristics during material conveying, helping to identify potential problems or anomalies. The weight change parameters at each stage are matched with a pre-defined change mode to determine the current system operating status. The pre-defined change mode can be a normal operating mode based on experience or historical data, as well as various possible abnormal modes. This matching method accurately determines the current operating status of the system, such as whether it is operating normally, whether there are abnormal feeding conditions, or whether blockages are causing abnormal weight changes. This judgment method, based on objective data and pre-defined modes, reduces the subjectivity of human judgment and improves the accuracy and reliability of the assessment.

[0103] More preferably, the step of acquiring the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0104] S101a: Acquire video information captured by a camera located in the first bend area of ​​a vertical pipe, extract key frames from the video information as images to be identified, and perform preprocessing operations on the images to be identified, including grayscale change processing and noise reduction processing.

[0105] S101b: Input the pre-processed time-series image to be identified into the pre-built state recognition model for identification to determine the material aggregation state information at each time stage;

[0106] S101c: Determine whether there is a blockage in the first bending area based on the material accumulation status information at each time stage.

[0107] This invention, through acquiring video information captured by a camera positioned at the first bend of a vertical pipe, provides a direct and real-time view of this critical area. Since the first bend of the vertical pipe is a region prone to material accumulation and blockage during material transport, directly capturing video of this area provides firsthand, intuitive data for accurate subsequent assessment of the system's operational status, helping to promptly identify potential blockages. Extracting key frames from the video information as the images to be identified and performing preprocessing operations such as grayscale transformation and noise reduction effectively improves the quality of the images to be identified. Grayscale transformation highlights key information in the image, making features such as material accumulation more apparent; noise reduction removes noise interference from the video image, reducing the possibility of misjudgment due to noise, thereby improving the accuracy of subsequent status identification.

[0108] The pre-processed, time-series images to be identified are input into a pre-built state recognition model for identification. Leveraging the powerful analysis and learning capabilities of the intelligent model, the material aggregation status information at each time stage can be accurately determined. This intelligent identification method is more objective, accurate, and efficient than manual observation and judgment, quickly extracting valuable status information from a large amount of video footage, providing a reliable basis for judging the system's operating status. Based on the material aggregation status information at each time stage, the presence of blockages in the first bend area can be determined, enabling timely detection of blockages in that area. Because the judgment is based on comprehensive information from multiple time stages, misjudgments caused by single images or short-term abnormal fluctuations are avoided, improving the accuracy and reliability of the judgment. Once a blockage is detected, corresponding cleaning or treatment measures can be taken promptly to prevent further expansion of the blockage and ensure the normal operation of the material conveying system. The method uses a non-contact monitoring approach with video recording via camera. Compared to some monitoring methods that require direct contact with materials or equipment, this does not interfere with the normal operation of the material conveying system and does not increase additional equipment wear and tear. Furthermore, this non-contact monitoring method can acquire operating status information in real time without interrupting material conveying, improving the system's operating efficiency and stability.

[0109] More preferably, the step of acquiring the operating status information of the corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes:

[0110] The video information captured by the camera set in the second bend area of ​​the vertical pipe is obtained, the key frames in the video information are extracted as the image to be identified, and the image to be identified is preprocessed, including grayscale change processing and noise reduction processing.

[0111] Based on the assumption of constant brightness, an optical flow constraint equation is established, and an optical flow calculation algorithm is used to solve the optical flow constraint equation to obtain the optical flow vector of the pixel in the corresponding image frame.

[0112] The corresponding material flow direction image is generated based on the optical flow vector of the pixels in the corresponding image frame, and the material flow direction image is input into the pre-built optical flow recognition model for recognition to determine the current system operating status.

[0113] This invention establishes optical flow constraint equations based on the assumption of constant brightness and solves them using optical flow calculation algorithms, enabling the acquisition of optical flow vectors for pixels in an image frame. These optical flow vectors accurately reflect the flow direction and velocity of materials at different times, allowing the system to deeply analyze the dynamics of material flow and discover potential flow anomalies. Material flow direction images are generated based on the optical flow vectors of the pixels, transforming abstract optical flow data into intuitive visual images. This visualization method makes the flow state of materials readily apparent, facilitating rapid identification of whether the material flow is normal and providing a more intuitive basis for subsequent state judgment.

[0114] In this embodiment of the invention, material flow direction images are input into a pre-constructed optical flow recognition model for identification. Utilizing the model's powerful learning and analysis capabilities, the current operating status of the system can be accurately determined. This model can learn characteristic patterns of material flow direction under normal and abnormal conditions through training with a large amount of data, thereby achieving intelligent status judgment and reducing the subjectivity and error of human judgment. Through real-time analysis by the optical flow recognition model, the system can promptly detect abnormalities in material flow, such as excessively slow flow velocity or turbulent flow direction. These abnormalities may be early signs of system blockage or malfunction. Timely detection of these potential problems helps to take preventative measures, preventing further deterioration and ensuring the stable operation of the material conveying system. The continuous acquisition of material flow direction images and status recognition accumulates a large amount of data. This data can be used to analyze the patterns and trends of system operation, providing strong support for system optimization. For example, by analyzing material flow direction under different time periods and operating conditions, pipeline design can be optimized, conveying parameters adjusted, and the efficiency and stability of material conveying improved.

[0115] Specifically, in this embodiment of the invention, the material flows from the first bend area to the second bend area, flowing through pressure adsorption. The first bend area is vertically lower than the second bend area. Two detection methods monitor the material transport status from different angles. The state recognition model-based method analyzes the material aggregation state in keyframe images to determine blockages, focusing on evaluating the material accumulation pattern in specific areas. The optical flow calculation-based method, on the other hand, analyzes the optical flow vectors of pixels to reflect the material flow dynamics, focusing on the real-time flow direction and speed. This multi-dimensional monitoring provides a more comprehensive understanding of various situations during material transport, improving the accuracy and reliability of detection. Both detection methods have advantages in detecting different types of problems. The state recognition model-based method is more effective in identifying static blockages such as obvious aggregation and accumulation of material in bend areas; while the optical flow calculation-based method is more sensitive to dynamic changes such as abnormal material flow speed and turbulent flow direction. They complement each other, covering more possible transport anomalies and reducing the possibility of missed detections.

[0116] The reason for adopting the above method is that the material accumulation situation in the first bending area is relatively complex due to its lower location, requiring more detailed image analysis to accurately determine whether there is a blockage and the degree of blockage. The state recognition model-based algorithm, after preprocessing and model recognition, can perform in-depth analysis of details such as the shape and distribution of the material, meeting the detection accuracy requirements of the first bending area. For the second bending area, the material flow is relatively smooth, and the focus is mainly on sudden changes in the flow state. The optical flow calculation algorithm can quickly capture changes in the optical flow vector of pixels, reacting sensitively to dynamic changes in material flow and detecting flow anomalies with high temporal resolution. This is crucial for timely detection of potential problems in the second bending area and even the entire conveying system, without requiring the detailed image analysis of material accumulation as in the first bending area. Due to gravity, materials are more prone to accumulation and buildup in the first bending area. If problems such as uneven feeding or unstable speed occur during material conveying, material accumulation is more likely to form first in the lower first bending area. The state recognition model-based detection algorithm, by extracting key frames from the video and analyzing the material accumulation state information, can effectively detect potential blockage problems in the first bending area. The second bend is relatively high, and materials here exhibit more dynamic flow, with less large-scale aggregation and accumulation. Optical flow-based algorithms are better suited for detecting the real-time flow of materials in this area, promptly identifying abnormal changes in material flow velocity and direction. These changes may indicate potential problems in the entire conveying system, such as localized pipe wear or abnormal conveying power, even if no obvious blockage has yet formed.

[0117] Example 2

[0118] Please refer to Figure 4-9 As shown, this embodiment provides a pneumatic material conveying system, including a feeding device 10 and a storage device 20. The feeding device 10 is used to be installed at the raw material end, and the storage device 20 is used to be installed at the equipment end. A discharge pipe 11 is provided on the feeding device 10, and a first solenoid valve 12 is provided on the discharge pipe 11. It also includes a conveying pipeline assembly 30, a negative pressure suction device 40, a positive pressure blowing device 50, and a central controller 60.

[0119] Specifically, the conveying pipeline assembly 30 includes a low-level horizontal pipeline 31 arranged in the horizontal direction, a vertical pipeline 32 arranged in the vertical direction, and a high-level horizontal pipeline 33 arranged in the horizontal direction; the inlet end of the low-level horizontal pipeline 31 is connected to the discharge pipe 11 of the feeding device 10, and its outlet end is connected to the lower inlet of the vertical pipeline 32; the upper outlet of the vertical pipeline 32 is connected to the inlet of the high-level horizontal pipeline 33, and the outlet of the high-level horizontal pipeline 33 is connected to the inlet of the storage device 20.

[0120] When setting it up, the diameter of the low-level horizontal pipe 31 is larger than the diameter of the vertical pipe 32. Specifically, the ratio of the diameter of the low-level horizontal pipe to the diameter of the vertical pipe can be 5 / 3.

[0121] Specifically, the suction port of the negative pressure suction device 40 is connected to the inner cavity of the high-level horizontal pipe 33 through the negative pressure suction pipe 41; a second solenoid valve 42 is installed on the suction pipe.

[0122] Specifically, the outlet of the positive pressure blowing device 50 is connected to the inlet of the low-level horizontal pipe 31 through the positive pressure blowing pipe 51; a third solenoid valve 52 is installed on the positive pressure blowing pipe 51.

[0123] Specifically, the signal output terminal of the central controller 60 is connected to the signal input terminals of the first solenoid valve 12, the second solenoid valve 42, the third solenoid valve 52, the negative pressure suction device 40, and the positive pressure suction device, respectively.

[0124] Based on the above structure, the central controller 60 issues a command to open the solenoid valve associated with the negative pressure suction device 40. The negative pressure suction device 40 starts, generating a negative pressure environment, and sucks a preset amount (12-15 kg) of glass fiber material from the feeding device 10 into the low-level horizontal pipe 31. The central controller 60 issues a command to close the solenoid valve associated with the negative pressure suction device 40 and open the solenoid valve associated with the positive pressure blowing device 50. The positive pressure blowing device 50 starts, blowing positive pressure gas into the low-level horizontal pipe 31. Under the pushing action of the positive pressure gas, the material is blown and smoothly advances along the low-level horizontal pipe 31, the vertical pipe 32, and the high-level horizontal pipe 33. The material reaches the outlet of the high-level horizontal pipe 33 and enters the storage device 20 for storage or further processing. Thus, through the material pneumatic conveying system of the present invention, the conveying pipe assembly 30 includes a low-level horizontal pipe 31, a vertical pipe 32, and a high-level horizontal pipe 33. This design allows materials to be flexibly conveyed in three-dimensional space, adapting to different production environments. Meanwhile, the airtightness of the pipeline assembly effectively prevents dust from escaping, improving the production environment. The negative pressure suction device 40 ensures that materials are accurately sucked into the pipeline in a preset amount. Since materials like chopped glass fibers tend to adhere to the pipe wall, the negative pressure suction device 40 prevents the discharge pipe 11 from becoming clogged. Because only a small amount of material needs to be pushed at a time, and the positive pressure blowing device is closer to the lower horizontal pipe 31 and vertical pipe 32, the positive pressure blowing device 50 can ensure the material moves smoothly through the conveying pipeline assembly 30 even with a relatively low output air pressure, preventing the glass fibers from clumping during transport. Furthermore, the automated and intelligent control of the central controller 60 makes the entire conveying process more efficient and stable.

[0125] In this embodiment, the negative pressure suction device 40 can be a suction fan or a suction pump, and the positive pressure blowing device can be a Roots blower.

[0126] In a preferred embodiment of the present invention, the discharge end of the low-level horizontal pipe 31 is connected to the lower inlet of the vertical pipe 32 through the first elbow 34, and the upper outlet of the vertical pipe 32 is connected to the inlet of the high-level horizontal pipe 33 through the second elbow 35; both the first elbow and the second elbow are glass elbows made of borosilicate glass, and the friction coefficient of the inner wall of the first elbow and the second elbow is ≤0.15.

[0127] In practical operation, when the material in the lower horizontal pipe 31 is pushed to the first bend by positive pressure gas, the material can smoothly pass through the bend and enter the vertical pipe 32 due to the smooth inner wall and low coefficient of friction of the glass bend. Similarly, when the material rises in the vertical pipe 32 and reaches the second bend, it can also smoothly pass through the bend and enter the upper horizontal pipe 33, eventually reaching the outlet for storage or further processing. Because the inner wall of the glass bend is exceptionally smooth, the material conveying resistance is low, and the glass surface friction coefficient is low, effectively reducing the adhesion of glass fibers at the bend, making it particularly suitable for conveying fragile materials such as glass fibers. Furthermore, the transparency of the glass material allows for real-time observation of the material conveying status, facilitating the monitoring of blockages or material adhesion problems.

[0128] In a preferred embodiment of the present invention, an auxiliary air path assembly 70 is also included, which includes a compressed air delivery main pipe 71 and two compressed air branch pipes 72.

[0129] The air inlet of the compressed air delivery main pipe 71 is connected to an external air compressor;

[0130] The inlet ends of the two compressed air split pipes 72 are respectively connected to the outlet ends of the compressed air delivery main pipe 71; the outlet end of one of the compressed air split pipes 72 is connected to the lower end of the vertical pipe 32, and the outlet end of the other compressed air split pipe 72 is connected to the middle of the high-level horizontal pipe 33.

[0131] In a preferred embodiment of the present invention, each upper compressed air splitter pipe 72 is provided with a pneumatic ball valve 81, a pressure reducing valve 82, a flow balancing valve 83 and a one-way valve 84 in sequence along the gas delivery direction.

[0132] Based on the above structure, after material conveying is completed, the first solenoid valve 12, the second solenoid valve 42, and the third solenoid valve 52 are closed to ensure that the material conveying system is in a closed state. Compressed air is delivered to the main compressed air conveying pipe 71 by an external air compressor, and a certain pressure and flow rate are maintained in the main pipe. The compressed air enters the lower end of the vertical pipe 32 and the middle of the high-level horizontal pipe 33 through two compressed air branch pipes 72, respectively. In the vertical pipe 32, the compressed air blows away material that has adhered to the inner wall of the pipe due to friction or static electricity, preventing blockage. In the high-level horizontal pipe 33, the compressed air agitates and blows, similarly preventing material adhesion and blockage. Thus, the addition of the auxiliary air circuit assembly 70 effectively blows away material that has adhered to the inner wall of the pipe due to friction or static electricity, avoiding pipe blockage problems. Through regular blowing, the pipes are kept clean and unobstructed, improving the efficiency and stability of material conveying. The one-way valve 84 prevents reverse airflow, protecting the safety of the compressed air conveying system and the material conveying system. The addition of the pneumatic ball valve 81 enables flexible control of the air path, allowing the diverter pipe to be opened or closed as needed. The pressure reducing valve 82 regulates the airflow pressure, ensuring moderate pressure during the purging process, effectively purging without damaging the pipes or materials. The flow balancing valve 83 ensures balanced airflow in the two diverter pipes, preventing differences in purging performance due to uneven flow.

[0133] In a preferred embodiment of the present invention, the auxiliary air path assembly 70 further includes a plurality of compressed air delivery branch pipes 73 and a main compressed air delivery branch pipe 74;

[0134] The air inlet of the main compressed air supply branch pipe 74 is connected to the air outlet of the main compressed air supply pipe 71, and its air outlet is connected to one end of the high-level horizontal pipe 33 near the equipment end; a pneumatic ball valve 81 is provided on the main compressed air supply branch pipe 74.

[0135] The air inlet ends of multiple compressed air delivery branch pipes 73 are respectively connected to the compressed air delivery main pipe, and the air outlet ends of multiple compressed air delivery branch pipes 73 are respectively connected to the vertical pipe 32 and the high-level horizontal pipe 33 at equal intervals.

[0136] In a preferred embodiment of the present invention, each compressed air delivery branch pipe 73 is provided with a pressure regulating valve 85, a flow control valve 86, a fourth solenoid valve 87 and a one-way valve 84 in sequence along the gas delivery direction.

[0137] Based on the above structure, to avoid differences in purging effect caused by uneven flow, this invention further designs multiple compressed air delivery branch pipes 73. Compressed air, after being output from the air compressor, enters the main compressed air delivery pipe 71. The compressed air in the main pipe enters multiple locations in the vertical pipe 32 and the elevated horizontal pipe 33 through the multiple compressed air delivery branch pipes 73. On each branch pipe, a pressure regulating valve 85 and a flow control valve 86 work together to ensure that the output compressed air pressure and flow are stable and meet the purging requirements. A fourth solenoid valve 87 controls the opening and closing of the branch pipe according to actual needs, achieving flexible purging control. A one-way valve 84 prevents airflow from flowing backward in the branch pipe, protecting the system's safety. Through multiple equally spaced compressed air delivery branch pipes 73, uniform purging of the vertical pipe 32 and the elevated horizontal pipe 33 is achieved, avoiding differences in purging effect caused by uneven flow. Uniform purging ensures the cleanliness and unobstructed flow of the pipelines, improving the efficiency and stability of material conveying. The addition of the fourth solenoid valve 87 enables flexible control of the branch pipes, allowing specific branch pipes to be opened or closed as needed. In particular, selectively opening branch pipes at specific locations allows for targeted cleaning of specific areas of the pipeline, improving cleaning efficiency and effectiveness. It eliminates the need to open all branch pipes simultaneously, saving compressed air resources and reducing energy consumption. For example, when glass fiber adhesion is observed at a glass elbow, selectively opening the two branch pipes adjacent to the glass elbow allows for targeted cleaning of that elbow.

[0138] In a preferred embodiment of the present invention, the distance between the outlets of any two adjacent compressed air delivery branch pipes 73 is less than or equal to 2m. This equidistant layout, with a spacing of less than or equal to 2m, ensures that the inner wall of the pipe is thoroughly and uniformly purged. Simultaneously, the smaller spacing improves purging efficiency and reduces the time required for purging.

[0139] In a preferred embodiment of the invention, the negative pressure suction device 40 is connected to a high-level horizontal pipe 33 via a filter 43, which is used to separate the material from the air. Thus, the filter 43 can intercept and retain the suctioned material, preventing it from entering the interior of the negative pressure suction device 40 or being released into the environment.

[0140] In a preferred embodiment of the present invention, the storage device 20 includes a feeder 21 and a buffer tank 22. The feeder 21 is installed above the buffer tank 22. The feed inlet of the feeder 21 is connected to the outlet of the high-level horizontal pipe 33, and its discharge outlet is connected to the inner cavity of the buffer tank 22. The discharge outlet of the feeder 21 is funnel-shaped.

[0141] Based on the above structure, the inlet of the feeder 21 is connected to the outlet of the high-level horizontal pipe 33 to receive the material sucked out from the high-level horizontal pipe 33. The outlet of the feeder 21 is connected to the inner cavity of the buffer tank 22 to discharge the material into the buffer tank 22. The outlet of the feeder 21 is designed in a funnel shape, which helps the material to be discharged into the buffer tank 22 more smoothly and reduces blockage and spillage during the discharge process. The buffer tank 22 is used to store the material discharged from the feeder 21, serving as a buffer and storage unit.

[0142] In a preferred embodiment of the present invention, the positive pressure blowing device 50 controls the gas pressure to be 35 kPa, the gas flow rate to be 5-8 m / s, the diameter of the low horizontal pipe 31 to be 159 mm, the diameter of the vertical pipe 32 to be 76 mm, and the diameter of the high horizontal pipe 33 to be 76 mm.

[0143] Please refer to Figure 10-12 As shown, this embodiment provides a material pneumatic conveying system based on embodiment two, and also includes an automatic packaging machine 90, which includes a frame 91 and a weighing hopper assembly 92;

[0144] The buffer tank 22 is mounted on top of the frame 91;

[0145] The weighing hopper assembly 92 includes a hopper shell 921, multiple weighing mechanisms 922, and a discharge mechanism 923;

[0146] The hopper housing 921 is installed on the upper part of the frame 91 and located below the buffer tank 22. The top inlet of the hopper housing 921 is connected to the discharge port of the buffer tank 22.

[0147] Multiple weighing mechanisms 922 are respectively installed on the frame 91, and the multiple weighing mechanisms 922 are used to support and weigh the hopper shell 921;

[0148] The material discharge port of the silo shell 921 is provided with an openable unloading mechanism 923 for discharging materials;

[0149] The signal output terminals of multiple weighing mechanisms 922 are respectively connected to the signal input terminals of the central controller 60, and the signal output terminal of the central controller 60 is connected to the signal input terminal of the unloading mechanism 923.

[0150] Based on the above structure, the buffer tank 22 serves as a temporary storage container for materials, storing materials transported from the elevated horizontal pipeline 33 and providing buffering for subsequent processing or transport. When packaging is required, the material in the buffer tank 22 enters the hopper shell 921 of the weighing hopper assembly 92 through its discharge port. The weighing mechanism 922 weighs the material entering the hopper in real time and transmits the weighing signal to the central controller 60. The central controller 60 determines whether the material has reached the preset packaging weight based on the weighing signal. Once the preset weight is reached or exceeded, a control signal is sent to the unloading mechanism 923. After receiving the control signal from the central controller 60, the unloading mechanism 923 initiates the unloading operation, discharging the material from the discharge port of the hopper shell 921 into the packaging section of the packaging machine for automatic packaging. Thus, the conveying system of the present invention integrates multiple functions and achieves intelligent control through the central controller 60, reducing manual intervention and material transfer time, and improving production efficiency. The weighing mechanism 922 weighs the material in real time, and the central controller 60 controls the unloading mechanism 923 to start the unloading operation based on the weighing signal, ensuring that the amount of material packaged each time is accurate.

[0151] In a preferred embodiment, the automatic packaging machine 90 may further include an automatic bag feeding mechanism, a strapping mechanism, an automatic bag holding mechanism, and a paper tape sewing machine.

[0152] Example 3

[0153] Please see Figure 13 , Figure 13 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. The electronic device can be a computer, a server, etc. Of course, in certain cases, it can also be a mobile phone, tablet computer, monitoring terminal, or other smart device, as well as an image acquisition device with processing capabilities. Figure 13 As shown, the electronic device may include:

[0154] Memory 510 storing executable program code;

[0155] Processor 520 coupled to memory 510;

[0156] The processor 520 calls the executable program code stored in the memory 510 to execute some or all of the steps in the material conveying and cleaning control method in Embodiment 1.

[0157] This invention discloses a computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps in the material conveying and cleaning control method of Embodiment 1.

[0158] This invention also discloses a computer program product, wherein when the computer program product is run on a computer, the computer performs some or all of the steps in the material conveying and cleaning control method of Embodiment 1.

[0159] This invention also discloses an application publishing platform, which is used to publish computer program products. When the computer program products are run on a computer, the computer executes some or all of the steps in the material conveying and cleaning control method in Embodiment 1.

[0160] In various embodiments of the present invention, it should be understood that the sequence number of each process does not necessarily imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0161] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they can be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0162] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0163] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several requests to cause a computer device (which can be a personal computer, server, or network device, specifically a processor in the computer device) to execute some or all of the steps of the methods described in the various embodiments of the present invention.

[0164] In the embodiments provided by this invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean determining B solely based on A; B can also be determined based on A and / or other information.

[0165] Those skilled in the art will understand that some or all of the steps in the various methods of the embodiments described can be implemented by a program instructing related hardware. This program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0166] The material conveying and cleaning control method, system, electronic device, and storage medium disclosed in the embodiments of the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A material conveying and cleaning control method, characterized in that, include: Obtain the operating status information of the corresponding components in the current material conveying and cleaning control system, and determine the current system operating status based on the operating status information; The process of acquiring the operating status information of corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes: Obtain weight detection information within a set time range detected by the weight sensor located at the weighing hopper in the current material conveying and cleaning control system; A corresponding gravity change curve is generated based on the weight detection information, wherein the horizontal axis of the gravity change curve is time and the vertical axis is weight. The gravity change curve is calculated using a sliding window to obtain material flow information for each time period, and the corresponding steady-state flow information is determined based on the material flow information for each time period. The corresponding mutation threshold is determined based on the steady-state flow information and a pre-set mutation threshold formula, wherein the mutation threshold formula is: Where k is the mutation threshold, For steady-state flow information, This represents the material flow information for the i-th time period, where N is the total number of time periods. The material flow information in each time period is compared with the mutation threshold. If the material flow information is within the mutation threshold range, the current system operation status is determined to be normal. If the material flow information is not within the mutation threshold range, the current system operation status is determined to be blocked. If the system's operating status does not meet the set auxiliary cleaning conditions, then continue acquiring the status. If the system's operating status meets the set auxiliary cleaning conditions, the operating parameters of each component in the auxiliary gas path assembly are determined, and the working status of each component in the auxiliary gas path assembly is determined according to the operating parameters to perform pipeline cleaning operations.

2. The material conveying and cleaning control method as described in claim 1, characterized in that, The step of determining the corresponding mutation threshold based on the steady-state flow information and a pre-set mutation threshold formula includes: At set intervals, a corresponding mutation threshold is determined based on the steady-state flow information and a pre-set mutation threshold formula. After determining the corresponding mutation threshold based on the steady-state flow information and a pre-set mutation threshold formula, the method further includes: The time range exceeding the negative threshold and the material flow signal are determined, and the corresponding blockage parameters are calculated according to the set blockage detection formula, which is: Where A is the blockage parameter, This refers to the material flow information for the corresponding time period. For steady-state flow information, k is the abrupt change threshold; The current system operating status is determined by matching the blockage parameters with the set blockage range.

3. The material conveying and cleaning control method as described in claim 1, characterized in that, The process of acquiring the operating status information of corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes: Obtain weight detection information within a set time range detected by the weight sensor located at the weighing hopper in the current material conveying and cleaning control system; A corresponding gravity change curve is generated based on the weight detection information, wherein the horizontal axis of the gravity change curve is time and the vertical axis is weight. The gravity change curve is calculated using a sliding window to determine the weight change parameters at each stage. The weight change parameters at each stage are then matched with a set change mode to determine the current system operating status.

4. The material conveying and cleaning control method as described in claim 1, characterized in that, The process of acquiring the operating status information of corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes: The video information captured by the camera set in the first bend area of ​​the vertical pipe is obtained, the key frames in the video information are extracted as the image to be identified, and the image to be identified is preprocessed, including grayscale change processing and noise reduction processing. The pre-processed, time-series images to be identified are input into a pre-built state recognition model for identification to determine the material aggregation status information at each time stage; The presence of blockages in the first bend area is determined based on the material accumulation status information at each time stage.

5. The material conveying and cleaning control method as described in claim 1, characterized in that, The process of acquiring the operating status information of corresponding components in the current material conveying and cleaning control system, and determining the current system operating status based on the operating status information, includes: The video information captured by the camera set in the second bend area of ​​the vertical pipe is obtained, the key frames in the video information are extracted as the image to be identified, and the image to be identified is preprocessed, including grayscale change processing and noise reduction processing. Based on the assumption of constant brightness, an optical flow constraint equation is established, and an optical flow calculation algorithm is used to solve the optical flow constraint equation to obtain the optical flow vector of the pixel in the corresponding image frame. The corresponding material flow direction image is generated based on the optical flow vector of the pixels in the corresponding image frame, and the material flow direction image is input into the pre-built optical flow recognition model for recognition to determine the current system operating status.

6. A pneumatic material conveying system, comprising a feeding device and a storage device, wherein the feeding device is disposed at the raw material end and the storage device is disposed at the equipment end; a discharge pipe is disposed on the feeding device, and a first solenoid valve is disposed on the discharge pipe; characterized in that, Also includes: A conveying pipeline assembly includes a low-level horizontal pipeline arranged in a horizontal direction, a vertical pipeline arranged in a vertical direction, and a high-level horizontal pipeline arranged in a horizontal direction; the inlet end of the low-level horizontal pipeline is connected to the discharge pipe of the feeding device, and its outlet end is connected to the lower inlet of the vertical pipeline; the upper outlet of the vertical pipeline is connected to the inlet of the high-level horizontal pipeline, and the outlet of the high-level horizontal pipeline is connected to the inlet of the storage device. An auxiliary air path assembly includes a main compressed air delivery pipe and two compressed air branch pipes; the inlet end of the main compressed air delivery pipe is connected to an external air compressor; the inlet ends of the two compressed air branch pipes are respectively connected to the outlet end of the main compressed air delivery pipe; the outlet end of one of the compressed air branch pipes is connected to the lower end of the vertical pipe, and the outlet end of the other compressed air branch pipe is connected to the middle of the high-level horizontal pipe. A negative pressure suction device, wherein the suction port of the negative pressure suction device is connected to the inner cavity of the high-level horizontal pipe through a negative pressure suction pipe; a second solenoid valve is provided on the suction pipe; A positive pressure blowing device, wherein the air outlet of the positive pressure blowing device is connected to the air inlet of the low-level horizontal pipe through a positive pressure blowing pipe; a third solenoid valve is provided on the positive pressure blowing pipe; A central controller, wherein the signal output terminal of the central controller is connected to the signal input terminals of the first solenoid valve, the second solenoid valve, the third solenoid valve, the negative pressure suction device, and the positive pressure suction device, respectively; the central controller is used to execute the material conveying and cleaning control method as described in any one of claims 1 to 5.

7. An electronic device, characterized in that, include: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the material conveying and cleaning control method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program causes a computer to perform the material conveying and cleaning control method according to any one of claims 1 to 5.

Images