Dynamic optimization method and system of aluminum powder pneumatic conveying system

Abstract

The invention discloses a dynamic optimization method and system for an aluminum powder pneumatic conveying system, and relates to the technical field of conveying system optimization. Aluminum powder conveying state data and pipeline health state data are monitored in real time, and after space-time analysis is conducted on the aluminum powder conveying state data and the pipeline health state data, the aluminum powder conveying state data and the pipeline health state data are analyzed; and acquiring temporal and spatial change information of an aluminum powder transmission state and temporal and spatial change information of pipeline health, after integrating the temporal and spatial change information of the aluminum powder transmission state and the temporal and spatial change information of the pipeline health, judging whether the initial vibration amplitude of the optimization area needs to be subjected to optimization adjustment, and generating a corresponding optimization strategy according to a judgment result. In the aluminum powder conveying process, after the optimization system monitors the aluminum powder conveying state and the conveying pipeline state in real time, the initial vibration amplitude is dynamically optimized and adjusted, accumulation in the aluminum powder conveying process is avoided, meanwhile, stable use of the conveying pipeline is guaranteed, and therefore the stability of aluminum powder conveying is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of conveying system optimization, and in particular to a dynamic optimization method and system for an aluminum powder pneumatic conveying system. Background Art

[0002] Aluminum powder pneumatic conveying system is an industrial system that transports aluminum powder particles from one location to another through airflow. It is widely used in metallurgy, chemical industry, pharmaceutical and powder processing. Pneumatic conveying uses air or other gases as the conveying medium and uses the kinetic energy of the airflow to transport the powder material to the destination.

[0003] When aluminum powder is transported over long distances, it is necessary to combine multiple straight pipes with pipe elbows to obtain a total transmission pipe. However, due to the long transmission distance, this may cause the aluminum powder to accumulate at a certain point in the transmission pipe (especially the pipe elbow and the connection between pipes) during the transmission process. In order to solve this problem, the transmission pipe is usually vibrated to avoid the accumulation of aluminum powder during the transmission process. However, the prior art usually adopts a fixed vibration amplitude (generally preset manually) to vibrate the transmission pipe. This method has the following defects:

[0004] If the fixed vibration amplitude is small, if the aluminum powder is accumulated too much, it will be difficult to clean up the aluminum powder at the accumulation point, and it will still cause 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.

[0005] Based on this, the present invention proposes a dynamic optimization method and system for an aluminum powder pneumatic conveying system. During the aluminum powder transmission process, the optimization system monitors the aluminum powder transmission status and the transmission pipeline status in real time, and dynamically optimizes and adjusts the initial vibration amplitude. While avoiding accumulation of aluminum powder during transmission, it ensures the stable use of the transmission pipeline, thereby ensuring the stability of aluminum powder transmission. Summary of the invention

[0006] The purpose of the present invention is to provide a dynamic optimization method and system for an aluminum powder pneumatic conveying system to solve the deficiencies in the background technology.

[0007] In order to achieve the above object, 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:

[0008] The optimization system obtains the pipeline information and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the pipeline into multiple optimization areas based on the influence range of the vibration source;

[0009] For each optimized area, the aluminum powder transmission status data and pipeline health status data are monitored in real time. After performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and pipeline health is obtained.

[0010] After integrating the spatiotemporal variation information of the aluminum powder transmission state 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, and a corresponding optimization strategy is generated based on the judgment result.

[0011] In a preferred embodiment, for each optimized area, real-time monitoring of aluminum powder transmission status data and pipeline health status data includes the following steps:

[0012] The Coriolis flowmeters installed in the center and at both ends of the optimization area are used to monitor the aluminum powder flow in real time, and the mobile ultrasonic sensors installed in the optimization area are used to monitor the damage condition of the pipelines and the connection condition between the pipelines in real time.

[0013] In a preferred embodiment, after performing spatiotemporal analysis on the aluminum powder transmission state data, obtaining the spatiotemporal variation information of the aluminum powder transmission state includes the following steps:

[0014] Perform spatiotemporal analysis on the aluminum powder transmission 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, subtract the aluminum powder flow rate at the center from the aluminum powder flow rate at the feed end to obtain a first flow difference. Subtract the aluminum powder flow rate at the discharge end from the aluminum powder flow rate at the center to obtain a second flow difference. Add the first flow difference to the second flow difference to obtain the total flow difference.

[0015] Obtain the total flow difference value of the optimization area at the current moment and the total flow difference value at the previous moment, subtract the total flow difference value at the current moment from the total flow difference value at the previous moment to obtain the total difference, subtract the current moment from the previous moment to obtain the monitoring duration, and obtain the total difference growth rate by dividing the total difference by the previous monitoring duration. Perform cumulative calculation on the total difference growth rate over a period of time to obtain the total difference cumulative coefficient, which is expressed as: In the formula, K accum is the total difference cumulative coefficient, t0~t n is the monitoring period, R total (t) is the total difference growth rate in time period t.

[0016] In a preferred embodiment, after performing spatiotemporal analysis on the aluminum powder transmission status data and the pipeline health status data, obtaining the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of the pipeline health includes the following steps:

[0017] Perform spatiotemporal analysis on pipeline health status data, scan crack information of pipelines in the optimization area with mobile ultrasonic sensors, and obtain the number of cracks, crack depth, and crack length. Normalize the crack depth and crack length so that the value range of the crack depth and crack length is mapped to [0.1], obtain the normalized value of the crack depth and the normalized value of the crack length, sum the normalized values ​​of the crack depth and the normalized values ​​of the crack length to obtain the crack influence factor, and sum the crack influence factors of all cracks to obtain the crack influence coefficient;

[0018] When the mobile ultrasonic sensor moves to the connection part between the pipes, the ultrasonic propagation time of the connection part in the current state is obtained, and the ultrasonic propagation time of the connection part in the current state is subtracted from the ultrasonic propagation time of the connection part in the standard state to obtain the propagation time difference.

[0019] In a preferred embodiment, after integrating the spatiotemporal variation information of the aluminum powder transmission state and the spatiotemporal variation information of the pipeline health, it is determined whether it is necessary to optimize and adjust the initial vibration amplitude of the optimization area, including the following steps:

[0020] After obtaining the total flow difference, the total difference cumulative coefficient, the crack influence coefficient and the propagation time difference, a comprehensive analysis is performed to obtain the judgment adjustment factor;

[0021] 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 judged that there is no need to optimize the initial vibration amplitude of the optimization area, and it is judged that the initial vibration amplitude of the optimization area needs to be optimized.

[0022] In a preferred embodiment, generating a corresponding optimization strategy according to the judgment result includes the following steps:

[0023] When it is determined that the initial vibration amplitude of the optimization area needs to be optimized and adjusted, the initial vibration amplitude of the optimization area is adjusted by judging the adjustment factor, and the adjustment algorithm is:

[0024]

[0025] In the formula, amplitude after is the adjusted vibration amplitude, amplitude before is the initial vibration amplitude, J adjust To determine the adjustment factor, after obtaining the adjusted vibration amplitude, the optimization system automatically controls the vibration source matching the optimization area to output the adjusted vibration amplitude.

[0026] In a preferred embodiment, after obtaining the total flow difference, the total difference cumulative coefficient, the crack influence coefficient and the propagation time difference, a comprehensive analysis is performed to obtain the judgment adjustment factor, which is expressed as follows:

[0027] In the formula, J adjust To determine the adjustment factor, is the spatiotemporal variation information of the aluminum powder transmission state, (μ+ln(μ+1)) 2 is the spatiotemporal variation information of pipeline health, LCZ is the total flow difference, K accum is the total difference accumulation coefficient, μ is the crack influence coefficient, μ is the propagation time difference, α and β are the adjustment coefficients of the spatiotemporal variation information of aluminum powder transmission state and pipeline health, respectively, and α and β are both greater than 0.

[0028] Dynamic optimization system of aluminum powder pneumatic conveying system, including data acquisition module, data monitoring module, time-space analysis module, and optimization module;

[0029] Data acquisition module: obtains the pipeline information and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the pipeline into multiple optimization areas based on the influence range of the vibration source;

[0030] Data monitoring module: for each optimized area, real-time monitoring of aluminum powder transmission status data and pipeline health status data;

[0031] Spatiotemporal analysis module: After performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health are obtained;

[0032] Optimization module: After integrating the spatiotemporal variation information of the aluminum powder transmission state and the spatiotemporal variation information of the pipeline health, it is determined whether it is necessary to optimize and adjust the initial vibration amplitude of the optimization area, and a corresponding optimization strategy is generated based on the judgment result.

[0033] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0034] The present invention monitors the aluminum powder transmission status data and pipeline health status data in real time, performs spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, obtains the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health, integrates the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health, determines whether it is necessary to optimize and adjust the initial vibration amplitude of the optimization area, and generates a corresponding optimization strategy based on the judgment result. During the aluminum powder transmission process, the optimization system monitors the aluminum powder transmission status and the transmission pipeline status in real time, and dynamically optimizes and adjusts the initial vibration amplitude, thereby avoiding accumulation of aluminum powder during transmission and ensuring the stable use of the transmission pipeline, thereby ensuring the stability of aluminum powder transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0036] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Example 1: Please refer to Figure 1 As shown, the dynamic optimization method of the aluminum powder pneumatic conveying system described in this embodiment includes the following steps:

[0039] The optimization system obtains the conveying pipeline information 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, the aluminum powder transmission status data and the pipeline health status data are monitored in real time. After spatiotemporal analysis of the aluminum powder transmission status data and the pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of the pipeline health are obtained. After integrating the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of the pipeline health, it is determined whether it is necessary to optimize and adjust the initial vibration amplitude of the optimization area, and a corresponding optimization strategy is generated based on the judgment result.

[0040] This application monitors the aluminum powder transmission status data and pipeline health status data in real time, performs spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, obtains the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health, integrates the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health, determines whether it is necessary to optimize and adjust the initial vibration amplitude of the optimization area, and generates a corresponding optimization strategy based on the judgment result. During the aluminum powder transmission process, the optimization system monitors the aluminum powder transmission status and the transmission pipeline status in real time, and dynamically optimizes and adjusts the initial vibration amplitude, avoiding the accumulation of aluminum powder during transmission while ensuring the stable use of the transmission pipeline, thereby ensuring the stability of aluminum powder transmission.

[0041] Embodiment 2: The optimization system obtains the conveying pipeline information and the initial vibration amplitude of each vibration source through the API interface of the conveying system, including the following steps:

[0042] Pipeline information request: Request basic pipeline information from the transportation system through the API interface, including pipeline geometric parameters (such as length, diameter, elbow location, material), connection nodes, pipeline layout, etc.

[0043] Vibration source data request: Get relevant information of all vibration sources through the API interface, including the number, location, vibration frequency, initial vibration amplitude, power, and influence range of the vibration source.

[0044] Divide the pipeline into multiple optimization areas based on the influence range of the vibration source, including the following steps:

[0045] Calculation of the impact range: Based on the power, vibration frequency and position of each vibration source on the conveying pipeline, the effective transmission range of its vibration to the pipeline is calculated. This calculation step belongs to the prior art and will not be elaborated in this application.

[0046] Optimized area division: According to the influence range of the vibration source, the entire pipeline is divided into multiple optimized areas to ensure that each area can be effectively covered by one or more vibration sources;

[0047] According to the power, vibration frequency and position of each vibration source in the pipeline, calculate the effective transmission range of its vibration to the pipeline. The influence range of the vibration source usually depends on the magnitude of the vibration force it generates and the attenuation characteristics of the vibration wave. In the calculation process, the following factors need to be considered:

[0048] Power: The greater the power of the vibration source, the greater the distance the vibration is transmitted.

[0049] Vibration frequency: The higher the frequency, the faster the vibration wave decays in the pipeline and the impact range is relatively small; the lower the frequency, the longer the transmission distance.

[0050] Position: When the vibration source is close to the end of the pipe or the elbow, the vibration transmission may be blocked or reflected, and the impact range is shortened accordingly.

[0051] According to the influence range of each vibration source, the entire conveying pipeline is divided into multiple optimized areas to ensure that each area is effectively covered by one or more vibration sources to avoid the accumulation of aluminum powder.

[0052] For each optimized area, real-time monitoring of aluminum powder transmission status data and pipeline health status data includes the following steps:

[0053] The Coriolis flowmeters installed in the center and at both ends of the optimization area are used to monitor the aluminum powder flow in real time, and the mobile ultrasonic sensors installed in the optimization area are used to monitor the damage condition of the pipelines and the connection condition between the pipelines in real time.

[0054] After performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health are obtained, including the following steps:

[0055] The aluminum powder transmission status data is analyzed in time and space 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 feeding end and the discharging end, respectively. The first flow difference is obtained by subtracting the aluminum powder flow rate at the center from the aluminum powder flow rate at the feeding end, and the second flow difference is obtained by subtracting the aluminum powder flow rate at the discharging end from the aluminum powder flow rate at the center. The first flow difference is added to the second flow difference to obtain the total flow difference value. The larger the total flow difference value, the more serious the blockage problem caused by the accumulation of aluminum powder inside the optimization area. The total flow difference value at the current moment and the total flow difference value at the previous moment are obtained in the optimization area. The total difference value is subtracted from the total flow difference value at the previous moment to obtain the total difference. The monitoring time is obtained by subtracting the current moment from the previous moment. The total difference growth rate is obtained by dividing the total difference by the previous monitoring time. The total difference growth rate within a period of time is accumulated to obtain the total difference accumulation coefficient. The expression is: In the formula, K accum is the total difference cumulative coefficient, t0~t n is the monitoring period, R total (t) is the total difference growth rate during time t;

[0056] The total flow difference is obtained by spatial analysis of the optimized area, and the cumulative coefficient of the total difference is obtained by temporal analysis of the optimized area.

[0057] The larger the total flow difference value, the more serious the blockage problem caused by aluminum powder accumulation in the optimized area. The larger the total difference cumulative coefficient, the more serious the blockage problem caused by aluminum powder accumulation in the optimized area over a period of time. The more the vibration amplitude needs to be increased. The specific reasons are as follows:

[0058] The more serious the accumulation is, the greater the flow difference will be. Therefore, the larger the total flow difference is, the more severe the blockage is, and the aluminum powder cannot pass through the pipeline smoothly, resulting in a significant deviation in the flow rate. The total difference cumulative coefficient is the accumulation of the rate of change of the total flow difference over a period of time. It reflects the long-term trend of the aluminum powder accumulation problem. If the total difference cumulative coefficient continues to increase, it means that the aluminum powder accumulation phenomenon continues to worsen over a period of time, and the blockage problem gradually becomes more serious. The larger the cumulative coefficient is, the more it means that the accumulation phenomenon is not sporadic, but has existed for a long time and is intensifying, which will significantly affect the long-term stable operation of the system;

[0059] The vibration amplitude affects the loosening and flow of aluminum powder in the pipeline. By vibrating the pipeline, the static friction and cohesion between aluminum powder particles can be broken, allowing it to restore fluidity. If the vibration amplitude is insufficient, the vibration energy is not enough to overcome the accumulation force of aluminum powder particles and the blockage cannot be effectively cleared.

[0060] The more serious the accumulation problem is, the higher the degree of compaction between the aluminum powders is, and stronger vibration is required to remove the accumulation and restore normal flow. The larger the vibration amplitude, the greater the vibration energy applied to the aluminum powder, which is more conducive to the aluminum powder from the accumulation state to the flow state, thereby reducing or removing the blockage;

[0061] The accumulated aluminum powder will form localized stagnant areas, which will prevent other aluminum powder particles from passing through the pipe. In this case, increasing the vibration amplitude can help break up the stagnant areas and restore more aluminum powder to flow. Without sufficient vibration amplitude, the accumulation may become more compacted, causing further problems.

[0062] When the flow difference and total difference cumulative coefficient increase, it means that the amount of aluminum powder in the accumulation area is getting larger and the degree of blockage is also increasing. By increasing the vibration amplitude, the system's ability to clear the accumulation can be improved, making it easier for the aluminum powder to resume its flow state and reducing the impact of accumulation on the flow.

[0063] If the accumulation problem is not dealt with in time, it will gradually evolve into complete blockage, seriously affecting the production efficiency and safety of the system. By real-time monitoring of the flow difference and accumulation coefficient changes, the severity of the accumulation can be predicted and corresponding measures can be taken.

[0064] Increasing the vibration amplitude is one of the direct ways to solve the accumulation problem, especially when the accumulation coefficient shows that the accumulation has intensified in a short period of time. Timely adjustment of the vibration amplitude can effectively prevent local blockage from evolving into systemic blockage.

[0065] Perform spatiotemporal analysis on pipeline health status data, scan crack information of pipelines in the optimization area with a mobile ultrasonic sensor, and obtain the number of cracks, crack depth, and crack length. It should be noted that when the crack depth exceeds the preset crack depth threshold, it indicates that the pipeline has a leakage problem. The optimization system needs to directly send a warning signal to relevant management personnel, normalize the crack depth and crack length, map the value range of the crack depth and crack length to [0.1], obtain the normalized crack depth value and the normalized crack length value, sum the normalized crack depth value and the normalized crack length value to obtain the crack influence factor, sum the crack influence factors of all cracks to obtain the crack influence coefficient, and when the mobile ultrasonic sensor moves to the connection between the pipelines, obtain the ultrasonic propagation time of the connection under the current state, and subtract the ultrasonic propagation time of the connection under the standard state from the ultrasonic propagation time of the connection under the current state to obtain the propagation time difference;

[0066] Among them, the crack influence coefficient is obtained by spatial analysis of the optimized area, and the propagation time difference is obtained by temporal analysis of the optimized area;

[0067] The larger the crack influence coefficient, the more cracks there are on the pipeline in the optimization area, and the worse the overall condition of the cracks. That is, the worse the health of the pipeline, the larger the propagation time difference, indicating that the looseness of the connection between the pipelines is more serious, and the more it is necessary to reduce the vibration amplitude. The specific reasons are as follows:

[0068] When the crack influence coefficient increases, the mechanical strength of the pipeline decreases and the bearing capacity may be lost locally, especially in the area near the crack. This means that the pipeline's ability to withstand external forces (such as vibration) is significantly reduced. If the propagation time difference increases, it indicates that the integrity of the pipeline connection is decreasing, and the loose parts are significantly less able to withstand vibration, and vibration will further aggravate the looseness;

[0069] Transmission of vibration energy: Vibration will exert mechanical stress on the pipeline. Under normal circumstances, this stress helps to prevent material accumulation. However, when cracks appear in the pipeline or the connection is loose, the vibration energy will produce concentrated stress on the vulnerable parts (such as cracks), causing the cracks to expand further and even cause structural damage.

[0070] Crack expansion: Vibration exacerbates tiny cracks in the pipeline, which gradually expand under the action of stress and may eventually cause the pipeline to fail or rupture. If vibration is not controlled in time, the health of the pipeline will deteriorate rapidly.

[0071] Reduce stress concentration: When cracks or looseness occur in the pipeline, the greater the vibration amplitude, the greater the mechanical stress applied to these vulnerable parts. Reducing the vibration amplitude can reduce stress concentration, reduce the further expansion of cracks and the aggravation of looseness, and protect the structural integrity of the pipeline.

[0072] Prevent crack expansion: Cracks themselves will reduce the load-bearing capacity of the pipeline. If large amplitude vibrations continue to be applied, the cracks will further develop, causing pipeline damage or system failure. By reducing the vibration amplitude, the crack expansion speed can be slowed down, avoiding major problems in the pipeline in a short period of time.

[0073] Number of cracks and deterioration of condition: The larger the crack impact coefficient, the more and more severe the number or scale of cracks, and the worse the health of the pipeline. In this case, the pipeline is already in a state of structural instability, and continuing to maintain or increase the vibration amplitude will cause greater damage to it.

[0074] Damage to the pipeline due to vibration amplitude when loosening increases: The increase in the propagation time difference indicates that the connection of the pipeline has become unstable. If the vibration amplitude is not reduced at this time, the loosening of the pipeline connection will further worsen, which may lead to complete failure of the connection or further cracking.

[0075] Changes in ultrasonic propagation path:

[0076] At the pipe joint, if the connection is tight, the ultrasonic wave can stably propagate along the solid medium, with a short and direct propagation path and a short time.

[0077] If the pipe connection is loose, there may be tiny gaps, voids or poor contact at the joint, which prevents the ultrasonic wave from passing directly and requires it to bypass these obstacles or pass through different paths (such as air or discontinuous solid surfaces), thereby extending the propagation time.

[0078] Attenuation and reflection caused by medium discontinuities:

[0079] In the case of loose pipes, the discontinuity of the connection will cause some of the ultrasonic energy to be reflected and scattered, and the signal that actually reaches the receiving end will take longer than when it is normally tightly connected. The more severe the looseness, the greater the discontinuity of the propagation path, the more obvious the effects of reflection and attenuation, and thus the longer the propagation time.

[0080] Changes in contact interface:

[0081] The tightly connected pipes have good contact interfaces, and ultrasonic waves can be efficiently transmitted through solid media.

[0082] When the pipe is loose, the contact interface quality deteriorates, gaps or uneven contact may occur, and the speed of ultrasonic waves passing through these areas will slow down, because the ultrasonic wave propagation speed in air or other inhomogeneous media is much lower than that in solids. This results in a lower propagation speed and longer time.

[0083] Mobile ultrasonic sensors set up in optimized areas can be used to monitor pipeline damage and connection conditions in real time.

[0084] After integrating the spatiotemporal variation information of the aluminum powder transmission state and the spatiotemporal variation information of the pipeline health, it is determined whether the initial vibration amplitude of the optimization area needs to be optimized and adjusted, including the following steps:

[0085] In this application, the larger the total flow difference value, the more the vibration amplitude of the optimized area needs to be increased, and the larger the total difference cumulative coefficient, the more the vibration amplitude of the optimized area needs to be increased;

[0086] The larger the crack influence coefficient, the more it is necessary to reduce the vibration amplitude of the optimized area; the larger the propagation time difference, the more it is necessary to reduce the vibration amplitude of the optimized area;

[0087] In summary, when the above parameters appear at the same time, in order to ensure the stable use of the pipeline and avoid the accumulation of aluminum powder, a compromise solution needs to be found, as follows:

[0088] After obtaining the total flow difference, the total difference cumulative coefficient, the crack influence coefficient and the propagation time difference, a comprehensive analysis is performed to obtain the judgment adjustment factor, which is expressed as follows:

[0089] In the formula, J adjust To determine the adjustment factor, is the spatiotemporal variation information of the aluminum powder transmission state, (μ+ln(μ+1)) 2 is the spatiotemporal variation information of pipeline health, LCZ is the total flow difference, K accum is the total difference accumulation coefficient, μ is the crack influence coefficient, μ is the propagation time difference, α and β are the adjustment coefficients of the spatiotemporal variation information of the aluminum powder transmission state and the spatiotemporal variation information of the pipeline health, and α and β are both greater than 0;

[0090] The larger the value of the judgment adjustment factor is, the more it is necessary to increase the vibration amplitude of the optimization area. 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 judged that there is no need to optimize the initial vibration amplitude of the optimization area, and it is judged that the initial vibration amplitude of the optimization area needs to be optimized.

[0091] Furthermore, it should be noted that when the value of the spatiotemporal variation information of pipeline health is large, that is, (μ+ln(μ+1)) 2 >JSz When, JS z It is the warning threshold, indicating that the health status of the pipeline in the optimization area is too poor to support use. At this time, the optimization system sends a warning signal to the relevant managers.

[0092] Generate a corresponding optimization strategy based on the judgment result, including the following steps:

[0093] When it is determined that the initial vibration amplitude of the optimization area needs to be optimized and adjusted, the initial vibration amplitude of the optimization area is adjusted by judging the adjustment factor, and the adjustment algorithm is:

[0094]

[0095] In the formula, amplitude after is the adjusted vibration amplitude, amplitude before is the initial vibration amplitude, J adjust To determine the adjustment factor, after obtaining the adjusted vibration amplitude, the optimization system automatically controls the vibration source matching the optimization area to output the adjusted vibration amplitude.

[0096] It should be noted that in the present application, the preset initial vibration amplitude is a relatively small value, that is, when the pipeline is in a healthy state and still supports the transportation of aluminum powder, the smaller initial vibration amplitude will not have much impact on the stable use of the pipeline.

[0097] Embodiment 3: The dynamic optimization system of the aluminum powder pneumatic conveying system described in this embodiment includes a data acquisition module, a data monitoring module, a time-space analysis module, and an optimization module;

[0098] Data acquisition module: obtains the information of the conveying pipeline and the initial vibration amplitude of each vibration source through the API interface of the conveying system, divides the conveying pipeline into multiple optimization areas based on the influence range of the vibration source, and sends the optimization area division information to the data monitoring module;

[0099] Data monitoring module: for each optimized area, real-time monitoring of aluminum powder transmission status data and pipeline health status data, which are sent to the spatiotemporal analysis module;

[0100] Spatiotemporal analysis module: after performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health are obtained, and the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health are sent to the optimization module;

[0101] Optimization module: After integrating the spatiotemporal variation information of the aluminum powder transmission state and the spatiotemporal variation information of the pipeline health, it is determined whether it is necessary to optimize and adjust the initial vibration amplitude of the optimization area, and a corresponding optimization strategy is generated based on the judgment result.

[0102] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0103] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0104] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Dynamic optimization method of aluminum powder pneumatic conveying system, characterized by: The optimization method comprises the following steps: The optimization system obtains the pipeline information and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the pipeline into multiple optimization areas based on the influence range of the vibration source; For each optimized area, the aluminum powder transmission status data and pipeline health status data are monitored in real time. After performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and pipeline health is obtained. After integrating the spatiotemporal variation information of the aluminum powder transmission state 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, and a corresponding optimization strategy is generated based on the judgment result.

2. The dynamic optimization method of the aluminum powder pneumatic conveying system according to claim 1 is characterized in that: For each optimized area, real-time monitoring of aluminum powder transmission status data and pipeline health status data includes the following steps: The Coriolis flowmeters installed in the center and at both ends of the optimization area are used to monitor the aluminum powder flow in real time, and the mobile ultrasonic sensors installed in the optimization area are used to monitor the damage condition of the pipelines and the connection condition between the pipelines in real time.

3. The dynamic optimization method of the aluminum powder pneumatic conveying system according to claim 2 is characterized in that: After performing spatiotemporal analysis on the aluminum powder transmission state data, the spatiotemporal variation information of the aluminum powder transmission state is obtained, including the following steps: Perform spatiotemporal analysis on the aluminum powder transmission 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, subtract the aluminum powder flow rate at the center from the aluminum powder flow rate at the feed end to obtain a first flow difference. Subtract the aluminum powder flow rate at the discharge end from the aluminum powder flow rate at the center to obtain a second flow difference. Add the first flow difference to the second flow difference to obtain the total flow difference. Obtain the total flow difference value of the optimization area at the current moment and the total flow difference value at the previous moment, subtract the total flow difference value at the current moment from the total flow difference value at the previous moment to obtain the total difference, subtract the current moment from the previous moment to obtain the monitoring duration, and obtain the total difference growth rate by dividing the total difference by the previous monitoring duration. Perform cumulative calculation on the total difference growth rate over a period of time to obtain the total difference cumulative coefficient, which is expressed as: In the formula, K accum is the total difference cumulative coefficient, t0~t n is the monitoring period, R total (t) is the total difference growth rate in time period t.

4. The dynamic optimization method of the aluminum powder pneumatic conveying system according to claim 3 is characterized in that: After performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health are obtained, including the following steps: Perform spatiotemporal analysis on pipeline health status data, scan crack information of pipelines in the optimization area with mobile ultrasonic sensors, and obtain the number of cracks, crack depth, and crack length. Normalize the crack depth and crack length so that the value range of the crack depth and crack length is mapped to [0.1], obtain the normalized value of the crack depth and the normalized value of the crack length, sum the normalized values ​​of the crack depth and the normalized values ​​of the crack length to obtain the crack influence factor, and sum the crack influence factors of all cracks to obtain the crack influence coefficient; When the mobile ultrasonic sensor moves to the connection part between the pipes, the ultrasonic propagation time of the connection part in the current state is obtained, and the ultrasonic propagation time of the connection part in the current state is subtracted from the ultrasonic propagation time of the connection part in the standard state to obtain the propagation time difference.

5. The dynamic optimization method of the aluminum powder pneumatic conveying system according to claim 4 is characterized in that: After integrating the spatiotemporal variation information of the aluminum powder transmission state and the spatiotemporal variation information of the 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 total difference cumulative coefficient, the crack influence coefficient and the propagation time difference, a comprehensive analysis is performed to obtain the judgment 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 judged that there is no need to optimize the initial vibration amplitude of the optimization area, and it is judged that the initial vibration amplitude of the optimization area needs to be optimized.

6. The dynamic optimization method of the aluminum powder pneumatic conveying system according to claim 5 is characterized in that: Generate a corresponding optimization strategy based on the judgment result, including the following steps: When it is determined that the initial vibration amplitude of the optimization area needs to be optimized and adjusted, the initial vibration amplitude of the optimization area is adjusted by judging the adjustment factor, and the adjustment algorithm is: In the formula, amplitude after is the adjusted vibration amplitude, amplitude before is the initial vibration amplitude, J adjust To determine the adjustment factor, after obtaining the adjusted vibration amplitude, the optimization system automatically controls the vibration source matching the optimization area to output the adjusted vibration amplitude.

7. The dynamic optimization method of the aluminum powder pneumatic conveying system according to claim 6 is characterized in that: After obtaining the total flow difference, the total difference cumulative coefficient, the crack influence coefficient and the propagation time difference, a comprehensive analysis is performed to obtain the judgment adjustment factor, which is expressed as follows: In the formula, J adjust To determine the adjustment factor, is the spatiotemporal variation information of the aluminum powder transmission state, (μ+ln(μ+1)) 2 is the spatiotemporal variation information of pipeline health, LCZ is the total flow difference, K accum is the total difference accumulation coefficient, μ is the crack influence coefficient, μ is the propagation time difference, α and β are the adjustment coefficients of the spatiotemporal variation information of aluminum powder transmission state and pipeline health, respectively, and α and β are both greater than 0.

8. A dynamic optimization system for an aluminum powder pneumatic conveying system, used to implement the optimization method according to any one of claims 1 to 7, characterized in that: It includes data acquisition module, data monitoring module, spatiotemporal analysis module and optimization module; Data acquisition module: obtains the pipeline information and the initial vibration amplitude of each vibration source through the API interface of the conveying system, and divides the pipeline into multiple optimization areas based on the influence range of the vibration source; Data monitoring module: for each optimized area, real-time monitoring of aluminum powder transmission status data and pipeline health status data; Spatiotemporal analysis module: After performing spatiotemporal analysis on the aluminum powder transmission status data and pipeline health status data, the spatiotemporal variation information of the aluminum powder transmission status and the spatiotemporal variation information of pipeline health are obtained; Optimization module: After integrating the spatiotemporal variation information of the aluminum powder transmission state and the spatiotemporal variation information of the pipeline health, it is determined whether it is necessary to optimize and adjust the initial vibration amplitude of the optimization area, and a corresponding optimization strategy is generated based on the judgment result.

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