Tricyclazole-azoxystrobin suspending agent raw material negative pressure conveying and batching system

Abstract

The invention discloses a tricyclazole-azoxystrobin suspending agent raw material negative pressure conveying and batching system. According to the system, an acquisition module acquires operation data of a conveying pipeline in real time; a deviation value calculation module calculates a difference value between the flow velocity of the sliding stream and the flow velocity of the suspension stream to obtain a speed deviation value; a disturbance result generation module performs transient disturbance analysis on the speed deviation value and the first type of operation data to obtain a transient disturbance result; the comparison result generation module calculates the particle distribution ratio and compares the particle distribution ratio with a preset optimal value to obtain a comparison result; the operation interval determination module determines an operation interval according to the operation data and the comparison result; and the regulation and control module regulates and controls the airflow parameters and the particle feeding speed according to the transient disturbance result and the operation interval. According to the system, accurate sensing of disturbance in the conveying process and clear definition of working conditions are achieved, differential regulation and control strategies can be matched according to different states, and the efficiency and stability of the tricyclazole-azoxystrobin suspending agent raw material negative pressure conveying and batching operation process are improved.

Description

Technical Field

[0001] This invention belongs to the field of material conveying technology, specifically relating to a negative pressure conveying and batching system for tricyclazole-pyraclostrobin suspension raw materials. Background Technology

[0002] With the continuous advancement of industrial automation, green production, and intelligent manufacturing, existing negative pressure conveying and batching systems are constantly evolving towards closed-loop, dust-free, high-efficiency, energy-saving, intelligent, controllable, and modular integration. They are gradually forming an integrated solution for material conveying and precise batching, powered by vacuum negative pressure, using closed pipelines as the carrier, and with intelligent control as the core. This solution is widely adaptable to the clean conveying needs of various industries such as food, pharmaceuticals, chemicals, and new energy. Furthermore, through technological upgrades such as IoT monitoring, frequency conversion energy saving, and adaptive parameter adjustment, the system continuously improves conveying stability, batching accuracy, and operational safety. Patent application CN118306791A discloses a method for monitoring the conveying of lithium battery powder based on a water-sensitive material negative pressure dilute phase pneumatic conveying system. The method includes acquiring dilute phase pneumatic conveying state parameters; performing closed-loop conveying conversion processing on the dilute phase pneumatic conveying state parameters and preset conveying state parameters to obtain a differential component of dilute phase pneumatic closed-loop transmission; and sending a pump start / stop signal to the negative pressure pump inlet controller based on the differential component of dilute phase pneumatic closed-loop transmission. After acquiring the dilute phase pneumatic conveying state parameters, the current conveying status of the negative pressure Roots vacuum pump is determined. Then, the dilute phase pneumatic conveying state parameters are compared with standard conveying state parameters to determine the difference between the current conveying status and the standard conveying status. Finally, based on the difference value, the operating mode of the negative pressure Roots vacuum pump controlled by the negative pressure pump inlet controller is adjusted.

[0003] The preparation process of tricyclazole-pyraclostrobin suspension utilizes a negative pressure dust-free conveying system for powder feeding. First, water and dispersants are fed into a mixing tank. Then, tricyclazole and pyraclostrobin powders are precisely drawn in through a negative pressure pipeline and pre-dispersed at high speed to form a uniform slurry. This slurry is then wet-ground in a sand mill to the target particle size. Thickeners, antifreeze agents, and defoamers are added to adjust the slurry and homogenize it. After passing inspection, the slurry is filtered and packaged to produce a stable and uniform suspension product. However, in the existing negative pressure conveying process, transient disturbances in flow parameters, such as air source fluctuations, uneven feeding, and changes in pipeline structure, can easily cause abnormal conditions in the flow field distribution of the powder material within the pipeline, such as sudden drops in local flow velocity and sudden increases in material concentration. This results in low powder material conveying efficiency, ultimately directly affecting the continuity and stability of the entire suspension preparation process. Summary of the Invention

[0004] The purpose of this invention is to solve the problems of insufficient stability and high risk of material deposition in pneumatic conveying under transient disturbances of flow parameters during negative pressure conveying, which leads to low conveying efficiency. Therefore, a negative pressure conveying and batching system for tricyclazole·pyraclostrobin suspension raw materials is proposed.

[0005] This invention proposes a negative pressure conveying and batching system for tricyclazole·pyraclostrobin suspension concentrate raw materials. The system includes: a data acquisition module for real-time acquisition of operational data from the target raw material conveying pipeline; the operational data includes a first type of operational data and a second type of operational data; the first type of operational data includes pipeline pressure drop and cross-sectional area of ​​the moving bed at the bottom of the pipe; the second type of operational data includes sliding flow velocity, suspended flow velocity, particle mass flow rate, and conveying medium mass flow rate; the target raw material is either tricyclazole or pyraclostrobin powder raw material. The deviation value calculation module is used to calculate the difference between the velocity of the sliding stream and the velocity of the suspended stream to obtain the velocity deviation value; The disturbance result generation module is used to perform transient disturbance analysis on the speed deviation value and the first type of operating data to obtain transient disturbance results; The comparison result generation module is used to calculate the particle distribution ratio based on the cross-sectional area of ​​the moving bed at the bottom of the pipe, and compare it with the preset optimal particle distribution ratio to obtain the comparison result; The operation range determination module is used to determine the operation range of negative pressure conveying and batching based on the operating data and the comparison results. The control module is used to adjust the airflow parameters and particle feeding speed of the negative pressure conveying and batching system according to the transient disturbance results and the operating range.

[0006] Optionally, the perturbation result generation module includes: The first calculation module is used to calculate the instantaneous correlation between the velocity deviation value and the pipeline pressure drop to obtain a first correlation degree; The second calculation module is used to calculate the instantaneous correlation between the velocity deviation value and the cross-sectional area of ​​the moving bed at the bottom of the pipe to obtain the second correlation degree; The first comparison module is used to compare the first correlation degree with a preset correlation degree threshold to obtain the first correlation deviation degree; The second comparison module is used to compare the second correlation degree with a preset correlation degree threshold to obtain the second correlation deviation degree; The third calculation module is used to calculate the deviation phase difference and deviation rate ratio between the first correlation deviation and the second correlation deviation; The result generation module is used to determine the existence of transient disturbance when both the first correlation deviation and the second correlation deviation exceed a preset deviation threshold, the deviation phase difference is less than a preset same-direction threshold, and the deviation rate ratio exceeds a preset rate ratio threshold.

[0007] This solution quantifies the instantaneous correlation and deviation characteristics of velocity deviation values ​​with pipeline pressure drop and the cross-sectional area of ​​the moving bed at the bottom of the pipe through multi-dimensional calculation modules. Combined with multi-threshold joint judgment logic to identify transient disturbances, it achieves accurate capture and reliable judgment of transient disturbances in the gas-solid transportation process. This not only improves the physical targeting and quantitative accuracy of disturbance identification, but also avoids the misjudgment and omission problems that are easy to occur with single parameter judgment. It provides timely and reliable disturbance basis for subsequent operating condition control, and effectively enhances the pneumatic transportation system's resistance to transient fluctuation interference and operational stability.

[0008] Optionally, the operation range determination module includes: The fourth calculation module is used to... Calculate the pressure drop in a standard pipeline; where, For pipeline pressure drop, Particle density, For the density of the transported medium, The gap ratio of the sliding stream. Let g be the length of the pipe section and g be the acceleration due to gravity. The coefficient of sliding friction; The fifth calculation module is used to... Calculate the gas-solid driving value; where, To transport the mass flow rate of the medium, This represents the total cross-sectional area of ​​the pipe. The cross-sectional area of ​​the bed layer moving at low speed at the bottom of the pipe. The diameter of a single particle; The sixth calculation module is used to calculate the gas-solid relative motion coefficient based on the velocity of the sliding stream and the velocity of the suspended stream. The seventh calculation module is used to calculate the gas-solid mass load coefficient based on the particle mass flow rate and the conveying medium mass flow rate. The integration module is used to integrate the standard pipeline pressure drop, the gas-solid drive value, the gas-solid relative motion coefficient, and the gas-solid mass load coefficient to obtain quantitative data; The interval determination module is used to input the quantized data and the comparison results into a preset operation interval mapping model to obtain the operation interval.

[0009] This solution uses a multi-dimensional calculation module to accurately quantify standard pipeline pressure drop, gas-solid drive value, gas-solid relative motion coefficient, and gas-solid mass load coefficient. The integrated quantified data is then input into a preset operating range mapping model, achieving automated and standardized determination of the operating range. This ensures the physical rigor and numerical accuracy of the calculation of each key parameter, and provides a reliable quantitative input basis for subsequent operating condition judgment and control strategy matching. It effectively improves the efficiency and accuracy of operating condition identification of the gas-solid transport system, avoids the subjectivity and errors caused by manual experience judgment, and enhances the intelligent operation level of the system.

[0010] Optionally, the construction process of the preset operation interval mapping model includes: An initial theoretical model is constructed based on the momentum, mass, and force balance relationships of gas-solid two-phase flow, including a three-layer structure: a suspended layer, a sliding flow layer, and a stationary layer. Based on the vertical lift mechanism between the coupled suspension layer and the sliding stream layer, the interlayer momentum coupling relationship in the initial theoretical model is modified to obtain the modified theoretical model; The energy decay process of the modified theoretical model is modified based on the resistance of particle surface pressure drop caused by gas viscosity to obtain a coupled model; Based on the force balance relationship and momentum exchange mechanism in the coupling model, and combined with the principle of gravitational field similarity, the correspondence between the standard pipeline pressure drop and the gas-solid driving value is determined. Acquire historical quantitative data; the historical quantitative data includes standard pipeline pressure drop, gas-solid drive value, gas-solid relative motion coefficient, and gas-solid mass load coefficient; Based on the correspondence, an operation range mapping diagram is constructed with the standard pipeline pressure drop as the horizontal axis and the gas-solid driving value as the vertical axis. Based on the correspondence in the operation interval mapping diagram, the operation interval is divided by feature boundary analysis, and the mapping relationship between the interval and the curve feature is constructed to obtain the operation interval mapping model.

[0011] This scheme constructs an initial theoretical model with a three-layer structure, including a suspended layer, a sliding flow layer, and a stationary layer. It then introduces a vertical lift mechanism and the resistance to particle surface pressure drop caused by gas viscosity for dual correction, forming a coupled model that better reflects actual working conditions. Furthermore, it establishes the correspondence between standard pipeline pressure drop and gas-solid driving values ​​by combining force balance, momentum exchange mechanism, and the principle of gravitational field similarity. Finally, it constructs an operating range mapping map based on historical quantitative data and completes the range division, achieving full-chain precision in the gas-solid two-phase flow transportation process from theoretical modeling to operating condition mapping. This not only improves the model's accuracy in physically describing complex transportation behaviors but also provides reliable quantitative basis and model support for rapid identification of operating ranges, prediction of operating conditions, and stable control in actual production.

[0012] Optionally, the vertical lift mechanism modifies the interlayer momentum coupling relationship in the initial theoretical model using the following formula: ;in, Lift force in the vertical direction The drag coefficient, The void ratio of the sliding flow layer, For the density of the transported medium, For the suspended flow velocity, For the sliding flow velocity, For the thickness of the flow layer, The length of the pipe section; the vertical lift acts on the upper surface of the sliding flow layer, perpendicular to the flow direction and upward, to reduce the effective frictional resistance between the particle layer and the pipe wall.

[0013] This scheme introduces a vertical lift formula that includes drag coefficient, medium density, velocity difference, and flow layer parameters. It accurately corrects the interlayer momentum coupling relationship of the initial theoretical model, enabling quantitative calculation of the intensity and direction of vertical lift on the sliding flow layer. It effectively quantifies and compensates for the effective frictional resistance between the particle layer and the pipe wall. The corrected model better reflects the momentum transfer and particle motion laws under actual vertical conveying conditions, significantly improving the accuracy and engineering applicability of gas-solid two-phase flow theoretical modeling. It provides high-precision theoretical support for flow control, resistance calculation, and operational stability optimization of vertical pneumatic conveying systems.

[0014] Optionally, based on the correspondence in the operation interval mapping diagram, the operation interval is divided through feature boundary analysis, and the mapping relationship between the interval and curve features is constructed to obtain the operation interval mapping model, including: Based on the correspondence in the operation interval mapping diagram, and combined with the changing trends of the gas-solid relative motion coefficient and the gas-solid mass load coefficient, the geometric characteristics of the curve of the standard pipeline pressure drop changing with the gas-solid driving value are analyzed, and the extreme points, inflection points and multi-valued solution boundary points of the curve under different gas-solid mass load coefficients are extracted. The trajectory of the extreme point in the operation interval mapping diagram is defined as the first boundary curve, the trajectory of the inflection point in the operation interval mapping diagram is defined as the second boundary curve, and the trajectory of the multivalued solution boundary point in the operation interval mapping diagram is defined as the third boundary curve, thus obtaining the boundary curve set. The operation interval mapping map is divided according to the boundary curve set to obtain the feature operation interval set; Based on the correspondence between the position of each feature operation interval in the feature operation interval set and the boundary curve set in the operation interval mapping diagram, a mapping relationship is established to obtain the operation interval mapping model.

[0015] This scheme extracts extreme points, inflection points, and multi-valued solution boundary points by analyzing the geometric features of curves and defines a multi-level boundary curve set. This enables the scientific division and feature separation of the operation interval mapping diagram, thereby constructing an operation interval mapping model with accurate mapping relationships. This allows the operation interval of gas-solid transportation under complex working conditions to be clearly defined, accurately identified, and efficiently classified, significantly improving the quantitative accuracy and logical rigor of operation interval division. It provides a model with strong engineering applicability for the adaptive control, working condition prediction, and stable operation of pneumatic transportation systems.

[0016] Optionally, the control module includes: The first condition module is used to maintain the current airflow parameters and particle feed rate if the transient disturbance result is that there is no transient disturbance and the operating range is a stable dilute phase region. The second condition module is used to adjust the particle feeding speed according to the preset optimal particle distribution ratio if the transient disturbance result is that there is no transient disturbance and the operation range is a stable flow region. The third condition module is used to adjust the airflow parameters according to the difference between the particle distribution ratio and the preset optimal particle distribution ratio if the transient disturbance result is that there is no transient disturbance and the operating range is an unstable flow region. The fourth condition module is used to adjust the airflow parameters according to the disturbance characteristics if the transient disturbance result indicates the existence of a transient disturbance and the operating range is a stable dilute phase region or a stable stream region. The fifth condition module is used to simultaneously reduce the particle feed rate and adjust the airflow parameters if the transient disturbance result indicates the existence of a transient disturbance and the operating range is an unstable flow region.

[0017] This solution achieves differentiated and precise control of the particle conveying process by dividing the transient disturbance results and operating range into multiple dimensions. It can maintain stable operation or iteratively optimize towards the optimal particle distribution state when there is no disturbance, and can quickly match the corresponding adjustment strategy when there is a disturbance. This effectively improves the operational stability, working condition adaptability and particle distribution control accuracy of the conveying system. At the same time, it avoids the limitations of adapting a single control logic to complex working conditions, and provides reliable intelligent protection for efficient and safe pneumatic particle conveying.

[0018] The beneficial effects of this invention are: This invention first collects multi-dimensional operational data of the conveying pipeline in real time, then calculates the speed deviation value and completes transient disturbance analysis. Simultaneously, it combines this with particle distribution ratio comparison to obtain comparative results, thereby determining the operating range and ultimately controlling the airflow parameters and particle feed rate. This method achieves precise perception of disturbances in the conveying process and clear definition of operating conditions, and can also match differentiated control strategies according to different states, effectively improving the efficiency and stability of the negative pressure conveying and batching process of tricyclazole-pyraclostrobin suspension raw materials. Attached Figure Description

[0019] The present invention will now be further described with reference to the accompanying drawings.

[0020] Figure 1 This is a flowchart illustrating the execution steps of a corresponding module in a negative pressure conveying and batching system for tricyclazole-pyraclostrobin suspension raw materials, provided as an embodiment of the present invention. Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0022] 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.

[0023] See Figure 1 , Figure 1 This invention provides a flowchart of the execution steps of a negative pressure conveying and batching system for tricyclazole-pyraclostrobin suspension concentrate raw materials, according to an embodiment of the present invention. The system includes a data acquisition module, a deviation calculation module, a disturbance result generation module, a comparison result generation module, an operation range determination module, and a control module. The data acquisition module executes step S101, the deviation calculation module executes step S102, the disturbance result generation module executes step S103, the comparison result generation module executes step S104, the operation range determination module executes step S105, and the control module executes step S106. S101, real-time acquisition of operating data of the target raw material conveying pipeline; S102, calculate the difference between the velocity of the sliding stream and the velocity of the suspended stream to obtain the velocity deviation value; S103, perform transient disturbance analysis on the speed deviation value and the first type of operating data to obtain transient disturbance results; S104. Calculate the particle distribution ratio based on the cross-sectional area of ​​the moving bed at the bottom of the pipe, and compare it with the preset optimal particle distribution ratio to obtain the comparison result. S105, Determine the operating range of negative pressure conveying and batching based on operating data and comparison results; S106, adjust the airflow parameters and particle feeding speed of the negative pressure conveying and batching system according to the transient disturbance results and the operating range; The operational data includes a first type of operational data and a second type of operational data; The first type of operational data includes pipeline pressure drop and cross-sectional area of ​​the moving bed at the bottom of the pipe; The second type of operational data includes the sliding stream velocity, the suspended stream velocity, the particle mass flow rate, and the conveying medium mass flow rate; The target raw material is either tricyclazole or azoxystrobin powder.

[0024] Based on the tricyclazole·pyraclostrobin suspension feedstock negative pressure conveying and batching system provided in this invention, the system first collects multi-dimensional real-time data, calculates the velocity deviation between the sliding stream and the suspended stream, then conducts transient disturbance analysis, and combines this with particle distribution ratio comparison to form a judgment conclusion, thereby accurately locating the operating range and ultimately achieving dynamic control of airflow parameters and particle feed velocity. This method not only achieves accurate identification of disturbances in the conveying process and clear division of operating conditions, but also allows for matching appropriate control schemes to different states, significantly optimizing the operating efficiency and stability of tricyclazole·pyraclostrobin suspension feedstock negative pressure conveying and batching.

[0025] In one implementation, the preset optimal particle distribution ratio is set by a technician, and its value can be 0.5.

[0026] In one implementation, the particle distribution ratio is obtained by calculating the ratio of the cross-sectional area of ​​the moving bed at the bottom of the pipe to the total cross-sectional area of ​​the pipe.

[0027] In one embodiment, the perturbation result generation module includes: The first calculation module is used to calculate the instantaneous correlation between the velocity deviation value and the pipeline pressure drop to obtain the first correlation degree; The second calculation module is used to calculate the instantaneous correlation between the velocity deviation value and the cross-sectional area of ​​the moving bed at the bottom of the pipe to obtain the second correlation degree; The first comparison module is used to compare the first correlation degree with a preset correlation degree threshold to obtain the first correlation deviation degree; The second comparison module is used to compare the second correlation degree with a preset correlation degree threshold to obtain the second correlation deviation degree; The third calculation module is used to calculate the deviation phase difference and deviation rate ratio of the first correlation deviation degree and the second correlation deviation degree; The result generation module is used to determine the existence of transient disturbance when both the first correlation deviation and the second correlation deviation exceed the preset deviation threshold, the deviation phase difference is less than the preset same-direction threshold, and the deviation rate ratio exceeds the preset rate ratio threshold.

[0028] In one implementation, the preset correlation threshold can be 0.7, the preset deviation threshold can be 0.25, the preset same-direction threshold can be 30°, and the preset rate ratio threshold can be 1.5.

[0029] In one implementation, the instantaneous correlation degree is calculated as follows: First, real-time time-series sampling data sequences of velocity deviation, pipeline pressure drop, and cross-sectional area of ​​the moving bed at the bottom of the pipe are acquired; using the velocity deviation sequence as a reference signal, the pipeline pressure drop sequence and the cross-sectional area of ​​the moving bed at the bottom of the pipe are used as comparison signals, and data points at each time point are synchronously extracted according to a preset time step; the sum of squared differences or normalized correlation coefficients between the reference signal and each comparison signal at the corresponding time point are calculated to quantitatively characterize the dynamic coupling strength between velocity deviation and pressure drop, and velocity deviation and bed cross-sectional area within the same time node; finally, the first correlation degree and the second correlation degree, reflecting the degree of instantaneous dynamic correlation between the two, are obtained respectively.

[0030] In one implementation, the third calculation module first performs sliding window segmentation on the time-series data of the first and second correlation deviations, extracts the instantaneous phase information of the two using Hilbert transform or time-domain cross-correlation, calculates the phase angle difference within the same time window to obtain the deviation phase difference, which is used to determine whether the deviation trends of the two are synchronous and in the same direction; at the same time, it performs difference operation or linear fitting on the two sets of deviation sequences to obtain their instantaneous rates of change with time, and then calculates the ratio of the two rates to obtain the deviation rate ratio, which is used to quantify the difference in the rate of change of the two deviations.

[0031] In one embodiment, the operating range determination module includes: The fourth calculation module is used to... Calculate the pressure drop in a standard pipeline; where, For pipeline pressure drop, Particle density, For the density of the transported medium, The gap ratio of the sliding stream. Let g be the length of the pipe section and g be the acceleration due to gravity. The coefficient of sliding friction; The fifth calculation module is used to... Calculate the gas-solid driving value; where, To transport the mass flow rate of the medium, This represents the total cross-sectional area of ​​the pipe. The cross-sectional area of ​​the bed layer moving at low speed at the bottom of the pipe. The diameter of a single particle; The sixth calculation module is used to calculate the gas-solid relative motion coefficient based on the velocity of the sliding stream and the velocity of the suspended stream. The seventh calculation module is used to calculate the gas-solid mass load coefficient based on the particle mass flow rate and the conveying medium mass flow rate; The integration module is used to integrate standard pipeline pressure drop, gas-solid drive value, gas-solid relative motion coefficient and gas-solid mass load coefficient to obtain quantitative data; The interval determination module is used to input quantified data and comparison results into a preset operation interval mapping model to obtain the operation interval.

[0032] In one implementation, the values ​​of parameters such as particle density, conveying medium density, void ratio of sliding stream, pipe section length, gravitational acceleration, sliding friction coefficient, and diameter of individual particles are determined by consulting physical property manuals, experimental measurements, or pipe design drawings.

[0033] In one implementation, the gas-solid relative motion coefficient is obtained by calculating the ratio of the sliding stream velocity to the suspended stream velocity, and the gas-solid mass load coefficient is also obtained by calculating the ratio of the particle mass flow rate to the transport medium mass flow rate.

[0034] In one implementation, a specific example of generating the operating range is as follows: the standard pipeline pressure drop is 0.35, the gas-solid drive value is 2.8, the gas-solid relative motion coefficient is 0.22, and the gas-solid mass load coefficient is 0.18. Simultaneously, the particle distribution ratio is calculated to be 0.21 based on the cross-sectional area of ​​the moving bed at the bottom of the pipe. This is compared with the preset optimal particle distribution ratio of 0.20, resulting in a comparison result where the particle distribution is close to optimal. After inputting this set of quantitative data and the comparison result into the preset operating range mapping model, the model first locates the corresponding coordinate point in the operating range mapping diagram based on the standard pipeline pressure drop of 0.35 and the gas-solid drive value of 2.8. Then, combining the operating condition characteristics of the gas-solid relative motion coefficient of 0.22 and the gas-solid mass load coefficient of 0.18, as well as the comparison result where the particle distribution is close to optimal, it matches the stable dilute phase transport range defined by the boundary curve in the model.

[0035] In one embodiment, the process of constructing a preset operation range mapping model includes: An initial theoretical model is constructed based on the momentum, mass, and force balance relationships of gas-solid two-phase flow, including a three-layer structure: a suspended layer, a sliding flow layer, and a stationary layer. Based on the vertical lift mechanism between the coupled suspension layer and the sliding stream layer, the interlayer momentum coupling relationship in the initial theoretical model is modified to obtain the modified theoretical model; The coupled model is obtained by modifying the energy decay process of the modified theoretical model based on the resistance of particle surface pressure drop caused by gas viscosity. Based on the force balance relationship and momentum exchange mechanism in the coupled model, and combined with the principle of gravitational field similarity, the correspondence between standard pipeline pressure drop and gas-solid driving value is determined. Acquire historical quantitative data; historical quantitative data includes standard pipeline pressure drop, gas-solid drive value, gas-solid relative motion coefficient, and gas-solid mass load coefficient; Based on the corresponding relationship, an operational range mapping diagram is constructed with standard pipeline pressure drop as the horizontal axis and gas-solid driving value as the vertical axis. Based on the correspondence in the operation interval mapping graph, the operation interval is divided by feature boundary analysis, and the mapping relationship between the interval and the curve features is constructed to obtain the operation interval mapping model.

[0036] In one implementation, operational data including pipeline pressure drop, sliding stream velocity, suspended stream velocity, particle mass flow rate, conveying medium mass flow rate, and cross-sectional area of ​​the moving bed at the bottom of the pipe are obtained before constructing the preset operating range mapping model.

[0037] In one implementation, the pressure drop resistance on the particle surface is used to correct the energy decay process in the modified theoretical model using the following resistance formula: ;in, For the pressure difference resistance of the particle group, This is the pressure drag coefficient. The void ratio of the sliding flow layer, For the density of the transported medium, For the suspended flow velocity, For the sliding flow velocity, For the thickness of the flow layer, The length of the pipe section; the pressure differential resistance of the particle group acts on the surface of the sliding flow layer in the opposite direction to the flow direction, and is used to characterize the momentum dissipation caused by gas viscosity; It can be set by technical personnel and can be 0.44.

[0038] In one implementation, based on the force balance principle in the coupled model, a force balance relationship is established for the suspended layer, sliding flow layer, and stationary layer within the horizontal pipe. This ensures that the total pressure drop thrust, gravity, particle wall friction resistance, gas viscous pressure difference resistance, and interlayer lift satisfy the force equilibrium constraint, clarifying the intrinsic relationship between the standard pipe pressure drop and system resistance. Based on the momentum exchange mechanism, the velocity difference between the suspended layer and the sliding flow layer is used to quantify the momentum transfer and momentum flux between the gas and solid phases, transforming the driving effect of the gas on the particles into a calculable momentum term. Combining the gravitational field similarity principle, the Froude number similarity criterion is used to perform dimensionless normalization of the gas inertial force, particle resistance, and gravity, achieving scale unification and dimensionlessness of the system's physical quantities. Through simultaneous force balance equations and momentum exchange equations, and by introducing the gravitational field similarity criterion for coupled derivation, the quantitative correspondence between the standard pipe pressure drop and the gas-solid driving value is finally determined.

[0039] In one implementation, the second model modification is based on the principle of fluid viscous resistance and the law of conservation of energy. It introduces the resistance to pressure drop on the particle surface caused by gas viscosity, analyzes the resistance effect generated by gas viscous force on the particle surface, quantifies the dissipation effect of this resistance on the energy of gas-solid two-phase flow, and modifies the energy transfer equation in the modified theoretical model by relying on the energy decay analysis method. It adds the energy loss term caused by the pressure drop resistance on the particle surface, improves the physical description of energy decay during the flow, and finally integrates the momentum coupling and energy decay relationship to obtain a complete gas-solid two-phase flow coupling model.

[0040] In one embodiment, the vertical lift mechanism corrects the inter-layer momentum coupling relationship in the initial theoretical model using the following formula: ;in, Lift force in the vertical direction The drag coefficient, The void ratio of the sliding flow layer, For the density of the transported medium, For the velocity of the suspended layer, For the velocity of the sliding flow layer, For the thickness of the flow layer, The length of the pipe section; the vertical lift acts on the upper surface of the sliding flow layer, perpendicular to the flow direction and upward, to reduce the effective frictional resistance between the particle layer and the pipe wall.

[0041] In one implementation, this step is based on the principle of momentum transfer between gas-solid two-phase flow layers. It introduces a vertical lift mechanism between the suspended layer and the sliding flow layer. By analyzing the force and motion state of particles in the vertical direction, the contribution of lift to the momentum exchange between layers is quantified. Based on the law of conservation of momentum, the momentum coupling equation between layers that did not consider vertical lift in the initial theoretical model is corrected. A vertical momentum flux term is added, and the momentum transfer constraint relationship between the suspended layer, the sliding flow layer and the stationary layer is improved, thereby obtaining a corrected theoretical model that better fits the actual flow state.

[0042] In one embodiment, based on the correspondence in the operation interval mapping graph, the operation interval is divided through feature boundary analysis, and the mapping relationship between the interval and curve features is constructed to obtain the operation interval mapping model, including: Based on the correspondence in the operation interval mapping diagram, and combined with the changing trends of the gas-solid relative motion coefficient and the gas-solid mass load coefficient, the geometric characteristics of the curve of standard pipeline pressure drop changing with gas-solid driving value are analyzed, and the extreme points, inflection points and multi-valued solution boundary points of the curve under different gas-solid mass load coefficients are extracted. The trajectory of the extreme point in the operation interval mapping diagram is defined as the first boundary curve, the trajectory of the inflection point in the operation interval mapping diagram is defined as the second boundary curve, and the trajectory of the boundary point of the multivalued solution in the operation interval mapping diagram is defined as the third boundary curve, thus obtaining the final set of boundary curves; The feature operation interval set is obtained by dividing the operation interval mapping graph according to the boundary curve set; The operation interval mapping model is obtained by establishing a mapping relationship between the position of each feature operation interval in the operation interval mapping diagram and the boundary curve set.

[0043] In one implementation, using an operating interval mapping diagram as the data carrier, the system first relies on the established quantitative correspondence between standard pipeline pressure drop and gas-solid driving value in the diagram. A gas-solid relative motion coefficient is introduced to characterize the velocity difference between the gas and solid phases, reflecting the momentum exchange intensity. A gas-solid mass load coefficient is also introduced, characterizing the proportion of the particulate phase in the total mass flow and reflecting the solid phase load level. These serve as key operating condition variables. By analyzing the trends of these two variables with the driving value, their regulatory role on the shape of the pressure drop and driving value curves is clarified. Subsequently, curve geometric feature analysis technology is used to analyze the pressure drop variation curves under different gas-solid mass load coefficients point by point. The first derivative is used to identify extreme points, characterizing the abrupt change in the rate of pressure drop with the driving value, corresponding to the extreme state of flow resistance. The second derivative is used to identify inflection points, characterizing the trend of flow state changing from stable to unstable or vice versa, corresponding to the critical point of flow pattern evolution. Boundary points are extracted using a multi-valued solution determination method, characterizing the critical operating conditions of multiple pressure degradations corresponding to the same driving value, corresponding to the critical boundary between stable transport and blockage deposition. Finally, the system accurately extracts the characteristic points of pipeline flow stability under different gas-solid load conditions.

[0044] In one implementation, the boundary curve set divides the operating interval mapping diagram to obtain a stable dilute phase region, a stable stream region, an unstable stream region, and an ideal region. The ideal region represents a theoretical operating condition composed of extreme parameters such as extremely high gas velocity and extremely low solid flow rate or extremely low gas velocity and extremely high solid flow rate. Although the corresponding solution can be derived in the mathematical model based on the laws of conservation of mass, momentum, and energy, it is completely impossible to realize in actual industrial transportation scenarios due to multiple real-world constraints such as the physical laws of gas-solid two-phase flow itself, pipeline structure and material strength, and the physical properties of the transport medium. Therefore, the characteristic operating interval set only includes the stable dilute phase region, the stable stream region, and the unstable stream region. In one embodiment, the control module includes: The first condition module is used to maintain the current airflow parameters and particle feed rate if the transient disturbance result is that there is no transient disturbance and the operating range is a stable dilute phase region. The second condition module is used to adjust the particle feed rate according to the preset optimal particle distribution ratio if the transient disturbance result is that there is no transient disturbance and the operating range is a stable flow region. The third condition module is used to adjust the airflow parameters based on the difference between the particle distribution ratio and the preset optimal particle distribution ratio if the transient disturbance result is that there is no transient disturbance and the operating range is an unstable flow region. The fourth condition module is used to adjust the airflow parameters according to the disturbance characteristics if the transient disturbance result indicates the existence of a transient disturbance and the operating range is a stable dilute phase region or a stable stream region. The fifth condition module is used to simultaneously reduce the particle feed rate and adjust the airflow parameters if the transient disturbance result indicates the presence of a transient disturbance and the operating range is an unstable flow region.

[0045] In one implementation, if the transient disturbance result indicates that there is no transient disturbance and the operating range is a stable stock flow region, then by... Calculate the particle feed rate; where, R represents the current particle feed rate, and R is the preset optimal particle distribution ratio. If the transient disturbance result indicates no transient disturbance and the operating range is an unstable flow region, then... Calculate the airflow parameters; where, The current airflow parameters are... The ratio of particle distribution is given, and k is the adjustment gain coefficient. If the transient disturbance result indicates the presence of a transient disturbance and the operating range is a stable dilute phase region or a stable flow region, two core disturbance characteristic parameters are first extracted from the transient disturbance result: the main factor coefficient M = first correlation deviation / first correlation deviation is used to determine the dominant source of the disturbance, and the rate coefficient... Used to determine the rate of change of the disturbance, if M>1 and A value greater than 1 indicates that the disturbance is mainly characterized by velocity fluctuations and drastic changes. Therefore, the formula... Adjust the airflow parameters; if M>1 and <1 indicates that the disturbance is mainly characterized by velocity fluctuations but changes slowly. Therefore, the formula... Adjust the airflow parameters; if M < 1 and A value >1 indicates that the disturbance is mainly due to bed layer changes and these changes are drastic. Therefore, the formula... Adjusting the airflow parameters, if M < 1 and Vr < 1, indicates that the disturbance is mainly due to bed layer changes and the changes are slow. Then, the formula can be used to... Adjust the airflow parameters; if M=1, it indicates mixing disturbance, then use the formula... Adjust the airflow parameters; among which, , , , , The preset adjustment coefficient, The current airflow parameters are... The reference airflow parameters are used; if the transient disturbance result indicates the presence of transient disturbance and the operating range is an unstable conveying zone, the particle feed rate is reduced to the preset minimum particle feed rate, and the airflow parameters are adjusted to the preset airflow parameters.

[0046] The foregoing has described one embodiment of the present invention in detail, but this content is merely a preferred embodiment and should not be considered as limiting the scope of the present invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the scope of the claims of this invention.

Claims

1. A negative pressure conveying and batching system for tricyclazole·pyraclostrobin suspension concentrate raw materials, characterized in that, The system includes: The data acquisition module is used to acquire real-time operating data of the target raw material conveying pipeline; the operating data includes a first type of operating data and a second type of operating data; the first type of operating data includes pipeline pressure drop and cross-sectional area of ​​the moving bed at the bottom of the pipe; the second type of operating data includes sliding stream velocity, suspended stream velocity, particle mass flow rate, and conveying medium mass flow rate; the target raw material is either tricyclazole or azoxystrobin powder raw material; The deviation value calculation module is used to calculate the difference between the velocity of the sliding stream and the velocity of the suspended stream to obtain the velocity deviation value; The disturbance result generation module is used to perform transient disturbance analysis on the speed deviation value and the first type of operating data to obtain transient disturbance results; The comparison result generation module is used to calculate the particle distribution ratio based on the cross-sectional area of ​​the moving bed at the bottom of the pipe, and compare it with the preset optimal particle distribution ratio to obtain the comparison result; The operation range determination module is used to determine the operation range of negative pressure conveying and batching based on the operating data and the comparison results. The control module is used to adjust the airflow parameters and particle feeding speed of the negative pressure conveying and batching system according to the transient disturbance results and the operating range.

2. The tricyclazole·pyraclostrobin suspension raw material negative pressure conveying and batching system according to claim 1, characterized in that, The disturbance result generation module includes: The first calculation module is used to calculate the instantaneous correlation between the velocity deviation value and the pipeline pressure drop to obtain a first correlation degree; The second calculation module is used to calculate the instantaneous correlation between the velocity deviation value and the cross-sectional area of ​​the moving bed at the bottom of the pipe to obtain the second correlation degree; The first comparison module is used to compare the first correlation degree with a preset correlation degree threshold to obtain the first correlation deviation degree; The second comparison module is used to compare the second correlation degree with a preset correlation degree threshold to obtain the second correlation deviation degree; The third calculation module is used to calculate the deviation phase difference and deviation rate ratio between the first correlation deviation and the second correlation deviation; The result generation module is used to determine the existence of transient disturbance when both the first correlation deviation and the second correlation deviation exceed a preset deviation threshold, the deviation phase difference is less than a preset same-direction threshold, and the deviation rate ratio exceeds a preset rate ratio threshold.

3. The tricyclazole·pyraclostrobin suspension raw material negative pressure conveying and batching system according to claim 1, characterized in that, The operation range determination module includes: The fourth calculation module is used to... Calculate the pressure drop in a standard pipeline; where, For pipeline pressure drop, Particle density, For the density of the transported medium, The gap ratio of the sliding stream. Let g be the length of the pipe section and g be the acceleration due to gravity. The coefficient of sliding friction; The fifth calculation module is used to... Calculate the gas-solid driving value; where, To transport the mass flow rate of the medium, This represents the total cross-sectional area of ​​the pipe. The cross-sectional area of ​​the bed layer moving at low speed at the bottom of the pipe. The diameter of a single particle; The sixth calculation module is used to calculate the gas-solid relative motion coefficient based on the velocity of the sliding stream and the velocity of the suspended stream. The seventh calculation module is used to calculate the gas-solid mass load coefficient based on the particle mass flow rate and the conveying medium mass flow rate. The integration module is used to integrate the standard pipeline pressure drop, the gas-solid drive value, the gas-solid relative motion coefficient, and the gas-solid mass load coefficient to obtain quantitative data; The interval determination module is used to input the quantized data and the comparison results into a preset operation interval mapping model to obtain the operation interval.

4. The tricyclazole·pyraclostrobin suspension raw material negative pressure conveying and batching system according to claim 3, characterized in that, The construction process of the preset operation interval mapping model includes: An initial theoretical model is constructed based on the momentum, mass, and force balance relationships of gas-solid two-phase flow, including a three-layer structure: a suspended layer, a sliding flow layer, and a stationary layer. Based on the vertical lift mechanism between the coupled suspension layer and the sliding stream layer, the interlayer momentum coupling relationship in the initial theoretical model is modified to obtain the modified theoretical model; The energy decay process of the modified theoretical model is modified based on the resistance of particle surface pressure drop caused by gas viscosity to obtain a coupled model; Based on the force balance relationship and momentum exchange mechanism in the coupling model, and combined with the principle of gravitational field similarity, the correspondence between standard pipeline pressure drop and gas-solid driving value is determined. Acquire historical quantitative data; the historical quantitative data includes standard pipeline pressure drop, gas-solid drive value, gas-solid relative motion coefficient, and gas-solid mass load coefficient; Based on the correspondence, an operation range mapping diagram is constructed with the standard pipeline pressure drop as the horizontal axis and the gas-solid driving value as the vertical axis. Based on the correspondence in the operation interval mapping diagram, the operation interval is divided by feature boundary analysis, and the mapping relationship between the interval and the curve features is constructed to obtain the operation interval mapping model.

5. The tricyclazole·pyraclostrobin suspension raw material negative pressure conveying and batching system according to claim 4, characterized in that, The vertical lift mechanism corrects the inter-layer momentum coupling relationship in the initial theoretical model using the following formula: ;in, Lift force in the vertical direction The drag coefficient, The void ratio of the sliding flow layer, For the density of the transported medium, For the suspended flow velocity, For the sliding flow velocity, For the thickness of the flow layer, The length of the pipe section; the vertical lift acts on the upper surface of the sliding flow layer, perpendicular to the flow direction and upward, to reduce the effective frictional resistance between the particle layer and the pipe wall.

6. The tricyclazole·pyraclostrobin suspension raw material negative pressure conveying and batching system according to claim 4, characterized in that, Based on the correspondence in the operation interval mapping diagram, the operation interval is divided through feature boundary analysis, and the mapping relationship between the interval and curve features is constructed to obtain the operation interval mapping model, including: Based on the correspondence in the operation interval mapping diagram, and combined with the changing trends of the gas-solid relative motion coefficient and the gas-solid mass load coefficient, the geometric characteristics of the curve of the standard pipeline pressure drop changing with the gas-solid driving value are analyzed, and the extreme points, inflection points and multi-valued solution boundary points of the curve under different gas-solid mass load coefficients are extracted. The trajectory of the extreme point in the operation interval mapping diagram is defined as the first boundary curve, the trajectory of the inflection point in the operation interval mapping diagram is defined as the second boundary curve, and the trajectory of the multivalued solution boundary point in the operation interval mapping diagram is defined as the third boundary curve, thus obtaining the boundary curve set. The operation interval mapping map is divided according to the boundary curve set to obtain the feature operation interval set; Based on the correspondence between the position of each feature operation interval in the feature operation interval set and the boundary curve set in the operation interval mapping diagram, a mapping relationship is established to obtain the operation interval mapping model.

7. The tricyclazole·pyraclostrobin suspension raw material negative pressure conveying and batching system according to claim 1, characterized in that, The control module includes: The first condition module is used to maintain the current airflow parameters and particle feed rate if the transient disturbance result is that there is no transient disturbance and the operating range is a stable dilute phase region. The second condition module is used to adjust the particle feeding speed according to the preset optimal particle distribution ratio if the transient disturbance result is that there is no transient disturbance and the operation range is a stable flow region. The third condition module is used to adjust the airflow parameters according to the difference between the particle distribution ratio and the preset optimal particle distribution ratio if the transient disturbance result is that there is no transient disturbance and the operating range is an unstable flow region. The fourth condition module is used to adjust the airflow parameters according to the disturbance characteristics if the transient disturbance result indicates the existence of a transient disturbance and the operating range is a stable dilute phase region or a stable stream region. The fifth condition module is used to simultaneously reduce the particle feed rate and adjust the airflow parameters if the transient disturbance result indicates the existence of a transient disturbance and the operating range is an unstable flow region.

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