Dynamic optimization method and system for aluminum powder pneumatic conveying system

Abstract

The application discloses a dynamic optimization method and system of an aluminum powder pneumatic conveying system, relates to the technical field of conveying system optimization, and acquires space-time change information of an aluminum powder conveying state and space-time change information of pipeline health by monitoring aluminum powder conveying state data and pipeline health state data in real time, performing space-time analysis on the aluminum powder conveying state data and the pipeline health state data, integrating the space-time change information of the aluminum powder conveying state and the space-time change information of the pipeline health, judging whether the initial vibration amplitude of an optimization region needs to be optimized and adjusted, and generating a corresponding optimization strategy according to a judgment result. The optimization system optimizes and adjusts the initial vibration amplitude in real time after monitoring the aluminum powder conveying state and the conveying pipeline state in the aluminum powder conveying process, avoids the accumulation of the aluminum powder in the conveying process, guarantees the stable use of the conveying pipeline, and thus guarantees the stability of the aluminum powder conveying.

Description

Technical Field

[0001] This invention relates to the field of conveying system optimization technology, specifically to a dynamic optimization method and system for an aluminum powder pneumatic conveying system. Background Technology

[0002] Aluminum powder pneumatic conveying system is an industrial system that uses airflow to transport aluminum powder particles from one location to another. It is widely used in metallurgy, chemical industry, pharmaceutical industry and powder processing. Pneumatic conveying uses air or other gases as the conveying medium and relies on the kinetic energy of the airflow to transport powder materials to their destination. When aluminum powder is transported over long distances, a total transport pipeline needs to be constructed by combining multiple straight pipe sections with bends. However, due to the long transport distance, this can lead to aluminum powder accumulating at certain points in the pipeline (especially at bends and connections between pipes). To address this issue, the transport pipeline is typically vibrated to prevent powder accumulation. However, existing technologies usually employ a fixed vibration amplitude (generally preset manually) to vibrate the pipeline. This method has the following drawbacks: If the fixed vibration amplitude is small, and the amount of aluminum powder accumulated is too large, it will be difficult to clean the accumulated aluminum powder and will still lead to accumulation problems during the aluminum powder transmission process. If the fixed vibration amplitude is large, it will increase the energy loss during the aluminum powder transmission process and may cause damage to the transmission pipeline. Based on this, the present invention proposes a dynamic optimization method and system for an aluminum powder pneumatic conveying system. The optimization system monitors the aluminum powder conveying status and the conveying pipeline status in real time during the aluminum powder conveying process, and dynamically optimizes and adjusts the initial vibration amplitude. This avoids the accumulation of aluminum powder during the conveying process and ensures the stable use of the conveying pipeline, thereby ensuring the stability of aluminum powder conveying. Summary of the Invention

[0003] The purpose of this invention is to provide a dynamic optimization method and system for aluminum powder pneumatic conveying systems to address the shortcomings in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a dynamic optimization method for an aluminum powder pneumatic conveying system, the optimization method comprising the following steps: The optimization system obtains information about the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the conveying pipeline into multiple optimization areas based on the influence range of the vibration source; For each optimization area, real-time monitoring of aluminum powder transport status data and pipeline health status data is performed. After spatiotemporal analysis of the aluminum powder transport status data and pipeline health status data, spatiotemporal change information of aluminum powder transport status and pipeline health status is obtained. After integrating the spatiotemporal variation information of aluminum powder transport status and pipeline health, it is determined whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, and a corresponding optimization strategy is generated based on the judgment result.

[0005] In a preferred embodiment, for each optimized region, real-time monitoring of aluminum powder transport status data and pipeline health status data includes the following steps: The flow rate of aluminum powder is monitored in real time by optimizing the Coriolis flow meters set at the center and both ends of the area, and the damage to the pipeline and the connection status between the pipelines are monitored in real time by optimizing the mobile ultrasonic sensors set in the area.

[0006] In a preferred embodiment, after performing spatiotemporal analysis on the aluminum powder transport status data, the spatiotemporal change information of the aluminum powder transport status is obtained, including the following steps: Spatiotemporal analysis of aluminum powder transport status data is performed to obtain the aluminum powder flow rate at the center and both ends of the optimization area. The two ends of the optimization area are the feed end and the discharge end, respectively. First, the first flow rate difference is obtained by subtracting the aluminum powder flow rate at the center from the aluminum powder flow rate at the feed end. Then, the second flow rate difference is obtained by subtracting the aluminum powder flow rate at the discharge end from the aluminum powder flow rate at the center. Finally, the first flow rate difference is added to the second flow rate difference to obtain the total flow rate difference. Obtain the total flow difference of the current time and the total flow difference of the previous time in the optimized area. Subtract the total flow difference of the previous time from the current time to obtain the total difference value. Subtract the previous time from the current time to obtain the monitoring duration. Divide the total difference value by the monitoring duration to obtain the growth rate of the total difference value. Accumulate the growth rate of the total difference value over a period of time to obtain the cumulative coefficient of the total difference value. The expression is: In the formula, This is the cumulative coefficient of the total difference. For the monitoring period, For time The rate of increase of the total difference over the period.

[0007] In a preferred embodiment, after performing spatiotemporal analysis on the aluminum powder transport status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transport status and the spatiotemporal variation information of the pipeline health are obtained, including the following steps: Spatiotemporal analysis of pipeline health status data is performed. Crack information of pipelines in the optimization area is scanned by mobile ultrasonic sensors, and the number, depth and length of cracks are obtained. The crack depth and length are normalized so that the range of crack depth and crack length values ​​are mapped to [0.1]. The normalized values ​​of crack depth and crack length are obtained. The crack influence factor is obtained by summing the normalized values ​​of crack depth and crack length. The crack influence coefficient is obtained by summing the crack influence factors of all cracks. When the mobile ultrasonic sensor moves to the connection point between pipes, it obtains the ultrasonic propagation time of the connection point under the current state, and subtracts the ultrasonic propagation time of the connection point under the standard state to obtain the propagation time difference.

[0008] In a preferred embodiment, after integrating the spatiotemporal variation information of aluminum powder transport status and the spatiotemporal variation information of pipeline health, it is determined whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, including the following steps: After obtaining the total flow difference, the cumulative coefficient of the total difference, the crack influence coefficient, and the propagation time difference, a comprehensive analysis is conducted to determine the adjustment factor. The obtained judgment adjustment factor is compared with the preset judgment adjustment threshold. If the judgment adjustment factor is less than or equal to the judgment adjustment threshold, it is determined that the initial vibration amplitude of the optimization region does not need to be optimized and adjusted. If it is determined that the initial vibration amplitude of the optimization region needs to be optimized and adjusted, it is determined that the initial vibration amplitude of the optimization region needs to be optimized and adjusted.

[0009] In a preferred embodiment, generating a corresponding optimization strategy based on the judgment result includes the following steps: When it is determined that the initial vibration amplitude of the optimization region needs to be optimized, the initial vibration amplitude of the optimization region is adjusted by determining the adjustment factor. The adjustment algorithm is as follows: ; In the formula, The adjusted vibration amplitude, The initial vibration amplitude, To determine the adjustment factor, after obtaining the adjusted vibration amplitude, the system automatically controls the vibration source that matches the optimized region to output the adjusted vibration amplitude.

[0010] In a preferred embodiment, after obtaining the total flow difference, the cumulative coefficient of the total difference, the crack influence coefficient, and the propagation time difference, a comprehensive analysis is performed to obtain the judgment adjustment factor, the expression of which is: In the formula, To determine the regulating factor, To transmit spatiotemporal changes in the state of aluminum powder, For information on the spatiotemporal changes in pipeline health, The total value of the flow difference. This is the cumulative coefficient of the total difference. The crack influence coefficient is... To facilitate the time difference in transmission, , These are the adjustment coefficients for the spatiotemporal variation information of aluminum powder transport status and the spatiotemporal variation information of pipeline health, respectively. , All are greater than 0.

[0011] The dynamic optimization system for the aluminum powder pneumatic conveying system includes a data acquisition module, a data monitoring module, a spatiotemporal analysis module, and an optimization module. Data acquisition module: Obtains information about the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the conveying pipeline into multiple optimization areas based on the influence range of the vibration source; Data monitoring module: For each optimization area, it monitors the aluminum powder transport status data and pipeline health status data in real time; Spatiotemporal analysis module: After performing spatiotemporal analysis on aluminum powder transport status data and pipeline health status data, it obtains spatiotemporal change information of aluminum powder transport status and spatiotemporal change information of pipeline health. Optimization module: After integrating the spatiotemporal variation information of aluminum powder transmission status and pipeline health, it determines whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, and generates corresponding optimization strategies based on the judgment results.

[0012] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention monitors aluminum powder transport status data and pipeline health status data in real time. After performing spatiotemporal analysis on these data, it obtains spatiotemporal variation information for both the aluminum powder transport status and pipeline health. This information is then integrated to determine whether initial vibration amplitude adjustment of the optimization area is necessary, and a corresponding optimization strategy is generated based on the determination. During aluminum powder transport, the optimization system dynamically adjusts the initial vibration amplitude by monitoring the aluminum powder transport status and pipeline status in real time. This prevents aluminum powder accumulation during transport while ensuring stable pipeline operation, thereby guaranteeing the stability of aluminum powder transport. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0014] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0016] Example 1: Please refer to Figure 1 As shown in this embodiment, the dynamic optimization method for the aluminum powder pneumatic conveying system includes the following steps: The optimization system obtains information about the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system. Based on the influence range of the vibration source, the conveying pipeline is divided into multiple optimization zones. For each optimization zone, the system monitors the aluminum powder transmission status data and pipeline health status data in real time. After performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the system obtains the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of the pipeline health. After integrating the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of the pipeline health, the system determines whether the initial vibration amplitude of the optimization zone needs to be optimized and adjusted, and generates corresponding optimization strategies based on the determination results.

[0017] This application monitors aluminum powder transport status data and pipeline health status data in real time. After performing spatiotemporal analysis on the data, it obtains spatiotemporal variation information of both the aluminum powder transport status and pipeline health. By integrating this information, it determines whether the initial vibration amplitude of the optimization area needs to be optimized and generates a corresponding optimization strategy based on the determination result. During the aluminum powder transport process, the optimization system dynamically adjusts the initial vibration amplitude after real-time monitoring of the aluminum powder transport status and the transport pipeline status. This prevents aluminum powder accumulation during transport while ensuring the stable operation of the transport pipeline, thereby guaranteeing the stability of aluminum powder transport.

[0018] Example 2: The optimization system obtains information about the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system, including the following steps: Pipeline Information Request: Request basic pipeline information from the delivery system via API interface, including pipeline geometry parameters (such as length, diameter, elbow location, material), connection nodes, pipeline layout, etc.

[0019] Vibration source data request: Obtain relevant information about all vibration sources through the API interface, including the number of vibration sources, location, vibration frequency, initial vibration amplitude, power, and influence range of the vibration sources.

[0020] Based on the influence range of the vibration source, the conveying pipeline is divided into multiple optimization zones, including the following steps: Impact range calculation: Based on the power, vibration frequency and position of each vibration source on the conveying pipeline, the effective transmission range of its vibration on the pipeline is calculated. This calculation step is existing technology and will not be described in detail in this application.

[0021] Optimized zone division: Based on the influence range of the vibration source, the entire conveying pipeline is divided into multiple optimized zones to ensure that each zone can be effectively covered by one or more vibration sources. Based on the power, frequency, and location of each vibration source in the pipeline, the effective transmission range of its vibration to the pipeline is calculated. The influence range of a vibration source typically depends on the magnitude of the generated vibration force and the attenuation characteristics of the vibration wave. The following factors need to be considered in the calculation:

[0022] Power: The greater the power of the vibration source, the farther the vibration can be transmitted.

[0023] Vibration frequency: The higher the frequency, the faster the vibration wave attenuates in the pipe and the smaller the range of influence; the lower the frequency, the longer the transmission distance.

[0024] Location: When the vibration source is close to the end of the pipe or a bend, the vibration transmission may be blocked or reflected, and the affected range will be shortened accordingly.

[0025] Based on the influence range of each vibration source, the entire conveying pipeline is divided into multiple optimized zones to ensure that each zone is effectively covered by one or more vibration sources, thus avoiding aluminum powder accumulation.

[0026] For each optimization zone, real-time monitoring of aluminum powder transport status data and pipeline health status data includes the following steps: The flow rate of aluminum powder is monitored in real time by optimizing the Coriolis flow meters set at the center and both ends of the area, and the damage to the pipeline and the connection status between the pipelines are monitored in real time by optimizing the mobile ultrasonic sensors set in the area.

[0027] After performing spatiotemporal analysis on the aluminum powder transport status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transport status and the pipeline health status is obtained, including the following steps: Spatiotemporal analysis was performed on the aluminum powder transport status data to obtain the aluminum powder flow rates at the center and both ends of the optimization area. The two ends of the optimization area are the feed end and the discharge end, respectively. First, the first flow rate difference was obtained by subtracting the aluminum powder flow rate at the center from the aluminum powder flow rate at the feed end. Then, the second flow rate difference was obtained by subtracting the aluminum powder flow rate at the discharge end from the aluminum powder flow rate at the center. The total flow rate difference was obtained by adding the first and second flow rate differences. The larger the total flow rate difference, the more severe the blockage problem caused by aluminum powder accumulation within the optimization area. The total flow rate difference at the current moment and the total flow rate difference at the previous moment were obtained. The total difference was obtained by subtracting the total flow rate difference at the previous moment from the current moment. The monitoring time was obtained by subtracting the previous moment from the current moment. The growth rate of the total difference was obtained by dividing the total difference by the monitoring time. The cumulative coefficient of the total difference was obtained by accumulating the growth rate of the total difference over a period of time. The expression is as follows: In the formula, This is the cumulative coefficient of the total difference. For the monitoring period, For time The rate of increase of the total difference over the period; The total flow difference is obtained through spatial analysis of the optimization area, and the cumulative coefficient of the total difference is obtained through temporal analysis of the optimization area.

[0028] The larger the total flow difference, the more severe the blockage problem caused by aluminum powder accumulation within the optimization area. The larger the cumulative coefficient of the total difference, the more severe the blockage problem caused by aluminum powder accumulation in the optimization area over a period of time, and the greater the need to increase the vibration amplitude. The specific reasons are as follows: The more severe the buildup, the greater the flow difference. Therefore, a larger total flow difference indicates a worsening blockage, preventing aluminum powder from flowing smoothly through the pipes and causing a significant deviation in flow. The total difference accumulation coefficient is the cumulative rate of change of the total flow difference over a period of time. It reflects the long-term trend of the aluminum powder buildup problem. If the total difference accumulation coefficient continues to increase, it means that the aluminum powder buildup phenomenon has been continuously worsening over a period of time, and the blockage problem is gradually becoming more severe. A larger accumulation coefficient indicates that the buildup phenomenon is not sporadic but has been present for a long time and is intensifying, which will significantly affect the long-term stable operation of the system.

[0029] Vibration amplitude affects the loosening and flow of aluminum powder within the pipe. Vibrating the pipe breaks down the static friction and cohesion between aluminum powder particles, restoring their fluidity. If the vibration amplitude is insufficient, the vibration energy is inadequate to overcome the accumulation force of the aluminum powder particles and effectively clear the blockage.

[0030] The more severe the buildup problem, the higher the degree of compaction between aluminum powder particles, requiring stronger vibration to break up the buildup and restore normal flow. A larger vibration amplitude results in greater vibrational energy applied to the aluminum powder, which is more conducive to the transformation of the aluminum powder from a packed state to a flowing state, thereby reducing or eliminating blockages.

[0031] Accumulated aluminum powder can form localized stagnant zones, hindering the passage of other aluminum powder particles through the pipe. In such cases, increasing the amplitude of vibration helps break up these stagnant zones, allowing more aluminum powder to resume flow. Insufficient vibration amplitude may cause the accumulation to become more compacted, further exacerbating the problem.

[0032] When the flow difference and the cumulative coefficient of the total difference increase, it indicates that the amount of aluminum powder in the accumulation area is increasing, and the degree of blockage is also intensifying. By increasing the vibration amplitude, the system's ability to clear the accumulation can be improved, making it easier for the aluminum powder to return to its flow state and reducing the impact of accumulation on the flow rate.

[0033] If buildup problems are not addressed promptly, they can gradually escalate into complete blockages, severely impacting system efficiency and safety. By monitoring changes in flow difference and accumulation coefficient in real time, the severity of the buildup can be predicted, allowing for appropriate measures to be taken.

[0034] Increasing the vibration amplitude is one of the direct methods to solve the accumulation problem. In particular, when the accumulation coefficient indicates that the accumulation is intensifying in a short period of time, timely adjustment of the vibration amplitude can effectively prevent local blockage from evolving into systemic blockage.

[0035] Spatiotemporal analysis of pipeline health status data is performed. Crack information of pipelines in the optimization area is scanned by a mobile ultrasonic sensor, and the number, depth and length of cracks are obtained. It should be noted that when the crack depth exceeds the preset crack depth threshold, it indicates that there is a leakage problem in the pipeline. The optimization system needs to send a warning signal directly to the relevant management personnel. The crack depth and crack length are normalized so that the value range of crack depth and crack length is mapped to [0.1]. The normalized crack depth value and crack length value are obtained. The crack influence factor is obtained by summing the normalized crack depth value and crack length value. The crack influence coefficient is obtained by summing the crack influence factors of all cracks. When the mobile ultrasonic sensor moves to the connection part between pipelines, the ultrasonic propagation time of the connection part under the current state is obtained. The propagation time difference is obtained by subtracting the ultrasonic propagation time of the connection part under the standard state from the ultrasonic propagation time of the connection part under the current state. Among them, the crack influence coefficient is obtained by spatial analysis of the optimization area, and the propagation time difference is obtained by temporal analysis of the optimization area; A larger crack influence coefficient indicates a greater number of cracks in the pipeline within the optimization area, and a deterioration in the overall condition of the cracks, meaning a poorer pipeline health. A larger propagation time difference indicates a more severe loosening problem at the connections between pipelines, necessitating a reduction in vibration amplitude. The specific reasons are as follows: As the crack influence coefficient increases, the mechanical strength of the pipeline decreases, and some areas may lose their load-bearing capacity, especially in the vicinity of the crack. This means that the pipeline's ability to withstand external forces (such as vibration) decreases significantly. If the propagation time difference increases, it indicates that the integrity of the pipeline connection is decreasing, and the loosened parts are significantly weakened in their ability to withstand vibration. Vibration will further exacerbate this loosening.

[0036] The transmission of vibrational energy: Vibration applies mechanical stress to pipelines, which normally helps prevent material buildup. However, when pipelines develop cracks or connections become loose, vibrational energy can concentrate stress on vulnerable areas (such as cracks), causing the cracks to extend further and potentially leading to structural damage.

[0037] Crack propagation: Vibration exacerbates tiny cracks in pipes, which gradually propagate under stress, eventually leading to pipe failure or rupture. If vibration is not controlled in time, the health of the pipes will deteriorate rapidly.

[0038] Reducing stress concentration: When pipelines develop cracks or become loose, the greater the vibration amplitude, the stronger the mechanical stress applied to these vulnerable areas. Reducing the vibration amplitude can decrease stress concentration, reduce further crack propagation and loosening, and protect the structural integrity of the pipeline.

[0039] Preventing crack propagation: Cracks themselves reduce the load-bearing capacity of pipelines. If large-scale vibrations continue to be applied, the cracks will further develop, leading to pipeline damage or system failure. By reducing the vibration amplitude, the rate of crack propagation can be slowed, preventing major pipeline problems from occurring in a short period of time.

[0040] Number of cracks and deterioration of condition: The larger the crack influence coefficient, the more numerous or larger the cracks, and the more severe the cracks, indicating a poorer pipeline health. In this situation, the pipeline is already in a structurally unstable state, and continuing or increasing the vibration amplitude will cause even greater damage.

[0041] Damage to pipes caused by vibration amplitude as loosening worsens: An increase in the propagation time difference indicates that the pipe connection is already unstable. If the vibration amplitude is not reduced at this point, the loosening of the pipe connection will worsen, potentially leading to complete failure of the connection or further cracking.

[0042] Changes in the propagation path of ultrasound waves: At pipe joints, if the connection is tight, ultrasonic waves can propagate stably along the solid medium with a short and direct propagation path and a short time.

[0043] If the pipe connection is loose, tiny gaps, voids, or poor contact may appear at the connection point, preventing ultrasound waves from passing directly. They need to bypass these obstacles or take different paths (such as air or discontinuous solid surfaces), thus prolonging the propagation time.

[0044] Attenuation and reflection caused by medium discontinuity: When a pipe is loose, the discontinuity at the connection point causes some ultrasonic energy to be reflected and scattered, resulting in the signal taking longer to reach the receiver than when the connection is tight. The more severe the looseness, the greater the discontinuity in the propagation path, and the more pronounced the effects of reflection and attenuation, thus increasing the propagation time.

[0045] Changes in the touch interface: The tightly connected pipes have a good contact interface, allowing ultrasound to propagate efficiently through the solid medium.

[0046] When a pipe becomes loose, the quality of the contact interface deteriorates, potentially leading to gaps or uneven contact. Ultrasonic waves travel slower through these areas because the speed of ultrasonic waves in air or other non-uniform media is much lower than in solids. This results in reduced propagation speed and longer travel time.

[0047] Mobile ultrasonic sensors with optimized zoning are used to monitor pipe damage and pipe connections in real time.

[0048] After integrating the spatiotemporal variation information of aluminum powder transport status and pipeline health, it is determined whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, including the following steps: In this application, the larger the total flow difference, the more the vibration amplitude of the optimization area needs to be increased; the larger the total difference accumulation coefficient, the more the vibration amplitude of the optimization area needs to be increased. The larger the crack influence coefficient, the more necessary it is to reduce the vibration amplitude in the optimization area; the larger the propagation time difference, the more necessary it is to reduce the vibration amplitude in the optimization area. In summary, when the above parameters occur simultaneously, a compromise solution needs to be found to ensure stable pipeline operation and prevent aluminum powder accumulation, as follows: After obtaining the total flow difference, the cumulative coefficient of the total difference, the crack influence coefficient, and the propagation time difference, a comprehensive analysis is performed to obtain the judgment adjustment factor, the expression of which is: In the formula, To determine the regulating factor, To transmit spatiotemporal changes in the state of aluminum powder, For information on the spatiotemporal changes in pipeline health, The total value of the flow difference. This is the cumulative coefficient of the total difference. The crack influence coefficient is... To facilitate the time difference in transmission, , These are the adjustment coefficients for the spatiotemporal variation information of aluminum powder transport status and the spatiotemporal variation information of pipeline health, respectively. , All are greater than 0; The larger the value of the judgment adjustment factor, the more necessary it is to increase the vibration amplitude of the optimization region. The obtained judgment adjustment factor is compared with the preset judgment adjustment threshold. If the judgment adjustment factor is less than or equal to the judgment adjustment threshold, it is determined that the initial vibration amplitude of the optimization region does not need to be optimized. If it does, it is determined that the initial vibration amplitude of the optimization region needs to be optimized.

[0049] Furthermore, it should be noted that when the spatiotemporal variation information of pipeline health takes a large value, i.e. hour, The warning threshold indicates that the health status of the pipeline in the optimization area is too poor to support its use. At this time, the optimization system sends a warning signal to the relevant management personnel.

[0050] Based on the judgment results, a corresponding optimization strategy is generated, including the following steps: When it is determined that the initial vibration amplitude of the optimization region needs to be optimized, the initial vibration amplitude of the optimization region is adjusted by determining the adjustment factor. The adjustment algorithm is as follows: ; In the formula, The adjusted vibration amplitude, The initial vibration amplitude, To determine the adjustment factor, after obtaining the adjusted vibration amplitude, the system automatically controls the vibration source that matches the optimized region to output the adjusted vibration amplitude.

[0051] It should be noted that in this application, the preset initial vibration amplitude is a small value, that is, when the pipeline is in good condition and can still support the conveying of aluminum powder, the small initial vibration amplitude will not have too much impact on the stable use of the pipeline.

[0052] Example 3: The dynamic optimization system of the aluminum powder pneumatic conveying system described in this example includes a data acquisition module, a data monitoring module, a spatiotemporal analysis module, and an optimization module; Data acquisition module: It acquires information about the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system. Based on the influence range of the vibration source, it divides the conveying pipeline into multiple optimization areas and sends the optimization area division information to the data monitoring module. Data monitoring module: For each optimization area, it monitors the aluminum powder transmission status data and pipeline health status data in real time, and sends the aluminum powder transmission status data and pipeline health status data to the spatiotemporal analysis module; Spatiotemporal analysis module: After performing spatiotemporal analysis on aluminum powder transport status data and pipeline health status data, it obtains spatiotemporal change information of aluminum powder transport status and pipeline health status, and sends the spatiotemporal change information of aluminum powder transport status and pipeline health status to the optimization module. Optimization module: After integrating the spatiotemporal variation information of aluminum powder transmission status and pipeline health, it determines whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, and generates corresponding optimization strategies based on the judgment results.

[0053] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0054] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0055] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A dynamic optimization method for an aluminum powder pneumatic conveying system, characterized in that: The optimization method includes the following steps: The optimization system obtains information about the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the conveying pipeline into multiple optimization areas based on the influence range of the vibration source; For each optimization region, real-time monitoring of aluminum powder transport status data and pipeline health status data is performed. Spatiotemporal analysis of these data is then conducted to obtain spatiotemporal variation information for both aluminum powder transport status and pipeline health. The real-time monitoring of aluminum powder transport status data and pipeline health status data includes the following steps: The flow rate of aluminum powder is monitored in real time by optimizing the Coriolis flow meters set at the center and both ends of the region, and the damage status of the pipeline and the connection status between pipelines are monitored in real time by optimizing the mobile ultrasonic sensors set in the region. After performing spatiotemporal analysis on the aluminum powder transmission status data, the spatiotemporal change information of the aluminum powder transmission status is obtained, including the following steps: Spatiotemporal analysis of aluminum powder transport status data is performed to obtain the aluminum powder flow rate at the center and both ends of the optimization area. The two ends of the optimization area are the feed end and the discharge end, respectively. First, the first flow rate difference is obtained by subtracting the aluminum powder flow rate at the center from the aluminum powder flow rate at the feed end. Then, the second flow rate difference is obtained by subtracting the aluminum powder flow rate at the discharge end from the aluminum powder flow rate at the center. Finally, the first flow rate difference is added to the second flow rate difference to obtain the total flow rate difference. Obtain the total flow difference of the current time and the total flow difference of the previous time in the optimized area. Subtract the total flow difference of the previous time from the current time to obtain the total difference value. Subtract the previous time from the current time to obtain the monitoring duration. Divide the total difference value by the monitoring duration to obtain the growth rate of the total difference value. Accumulate the growth rate of the total difference value over a period of time to obtain the cumulative coefficient of the total difference value. The expression is: In the formula, This is the cumulative coefficient of the total difference. For the monitoring period, For time The total difference growth rate over a period of time; after performing spatiotemporal analysis on aluminum powder transport status data and pipeline health status data, the spatiotemporal change information of aluminum powder transport status and pipeline health status is obtained, including the following steps: Spatiotemporal analysis of pipeline health status data is performed. Crack information of pipelines in the optimization area is scanned by mobile ultrasonic sensors, and the number, depth and length of cracks are obtained. The crack depth and length are normalized so that the range of crack depth and crack length values ​​are mapped to [0.1]. The normalized values ​​of crack depth and crack length are obtained. The crack influence factor is obtained by summing the normalized values ​​of crack depth and crack length. The crack influence coefficient is obtained by summing the crack influence factors of all cracks. When the mobile ultrasonic sensor moves to the connection point between pipes, it obtains the ultrasonic propagation time of the connection point under the current state, and subtracts the ultrasonic propagation time of the connection point under the standard state to obtain the propagation time difference. After integrating the spatiotemporal variation information of aluminum powder transport status and pipeline health, it is determined whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, and a corresponding optimization strategy is generated based on the judgment result.

2. The dynamic optimization method for the aluminum powder pneumatic conveying system according to claim 1, characterized in that: After integrating the spatiotemporal variation information of aluminum powder transport status and pipeline health, it is determined whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, including the following steps: After obtaining the total flow difference, the cumulative coefficient of the total difference, the crack influence coefficient, and the propagation time difference, a comprehensive analysis is conducted to determine the adjustment factor. The obtained judgment adjustment factor is compared with the preset judgment adjustment threshold. If the judgment adjustment factor is less than or equal to the judgment adjustment threshold, it is determined that the initial vibration amplitude of the optimization region does not need to be optimized and adjusted. If it is determined that the initial vibration amplitude of the optimization region needs to be optimized and adjusted, it is determined that the initial vibration amplitude of the optimization region needs to be optimized and adjusted.

3. The dynamic optimization method for the aluminum powder pneumatic conveying system according to claim 2, characterized in that: Based on the judgment results, a corresponding optimization strategy is generated, including the following steps: When it is determined that the initial vibration amplitude of the optimization region needs to be optimized, the initial vibration amplitude of the optimization region is adjusted by determining the adjustment factor. The adjustment algorithm is as follows: ； In the formula, The adjusted vibration amplitude, The initial vibration amplitude, To determine the adjustment factor, after obtaining the adjusted vibration amplitude, the system automatically controls the vibration source that matches the optimized region to output the adjusted vibration amplitude.

4. The dynamic optimization method for the aluminum powder pneumatic conveying system according to claim 3, characterized in that: After obtaining the total flow difference, the cumulative coefficient of the total difference, the crack influence coefficient, and the propagation time difference, a comprehensive analysis is performed to obtain the judgment adjustment factor, the expression of which is: In the formula, To determine the regulating factor, To transmit spatiotemporal changes in the state of aluminum powder, For information on the spatiotemporal changes in pipeline health, The total value of the flow difference. This is the cumulative coefficient of the total difference. The crack influence coefficient is... , These are the adjustment coefficients for the spatiotemporal variation information of aluminum powder transport status and the spatiotemporal variation information of pipeline health, respectively. , All are greater than 0.

5. A dynamic optimization system for an aluminum powder pneumatic conveying system, used to implement the optimization method described in any one of claims 1-4, characterized in that: It includes a data acquisition module, a data monitoring module, a spatiotemporal analysis module, and an optimization module; Data acquisition module: Obtains information about the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the conveying pipeline into multiple optimization areas based on the influence range of the vibration source; Data monitoring module: For each optimization area, it monitors the aluminum powder transport status data and pipeline health status data in real time; Spatiotemporal analysis module: After performing spatiotemporal analysis on aluminum powder transport status data and pipeline health status data, it obtains spatiotemporal change information of aluminum powder transport status and spatiotemporal change information of pipeline health. Optimization module: After integrating the spatiotemporal variation information of aluminum powder transmission status and pipeline health, it determines whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, and generates corresponding optimization strategies based on the judgment results.

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