Activating feeder outlet baffle adjusting device and adjusting method

Abstract

The invention relates to the technical field of data processing, in particular to an activation feeder outlet baffle adjusting device and method, and the device comprises a data collection module, a parameter optimization module, a control decision module and an execution module. The data acquisition module acquires load data of a conveying belt and material state data of a discharge port in real time; the parameter optimization module adopts a genetic algorithm to dynamically optimize first-order control parameters and second-order control parameters, the control decision module triggers an adjustment strategy based on a load deviation step by step, preferentially adjusts the width of a discharge port through the angle adjustment amount of an outlet baffle, and if the deviation is continuous, a vibration amplitude adjustment instruction is generated in combination with material state data; the execution module converts the adjusting quantity into displacement and vibration driving signals. Through hierarchical cooperative control and a closed-loop feedback mechanism, the problem of nonlinear control instability caused by dynamic changes of material humidity, granularity and viscosity is solved, the output matching precision under the multivariable coupling working condition is improved, and the material viscosity and the secondary bridging risk are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control data processing, and particularly to a regulating device and a regulating method for the outlet baffle of an activation feeder. Background Art

[0002] An activation feeder is a dynamic conveying device used to improve the fluidity of powdery or granular materials. Its core function is to eliminate material bridging and arching phenomena through the synergistic action of mechanical vibration and air flow, and achieve uniform and continuous feeding. The device consists of an elastic support device, an excitation device, a trough, and a control system. Its working principle is based on the theory of nonlinear vibration. The trough is driven to form multi-dimensional composite vibration by the directional excitation force generated by the excitation motor, so that the material changes from a static state to a fluidized state under the action of shear stress and inertial force. Its structural design adopts modular sealing components, which can adapt to materials with different particle sizes, humidities, and viscosity characteristics. In the fields of chemical industry, metallurgy, food processing, etc., it can effectively avoid material retention, improve the conveying efficiency, and at the same time achieve precise quantitative control by adjusting the amplitude and frequency parameters to meet the requirements of automated production.

[0003] In the prior art, the output regulation of the activation feeder mainly relies on the single-dimensional vibration quantity control of the excitation device, and the output is regulated by adjusting the amplitude or frequency of the excitation force through a force wheel. However, when the material humidity increases, the particle size distribution dispersion increases, or the adhesion increases, the linear relationship between the excitation force and the material flow state is damaged, resulting in a significant non-linear characteristic in the output regulation: under the condition of high amplitude, viscous materials are easy to form a viscous layer on the inner wall of the trough, large particle size particles produce a mechanical locking effect due to inertial accumulation, and the overshoot of the excitation force may exacerbate the densification of the material structure, causing secondary bridging or even overload of the driving mechanism. The existing single vibration parameter regulation mode cannot adapt to the dynamic changes of material physical properties. Especially in the working conditions with significant stick-slip effect or complex gas-solid coupling, the system response lags, and the regulation overshoot phenomenon is prominent, seriously restricting the conveying continuity and process stability. In addition, the traditional feedback control lacks a pre-judgment mechanism for the load fluctuation of the rear-end belt, and it is difficult to achieve precise output matching under the multi-variable coupling working conditions. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a regulating device and a regulating method for the outlet baffle of an activation feeder, which solve the problems of unstable output control caused by non-linear response when the single vibration parameter regulation mode of the existing activation feeder changes dynamically in terms of material humidity / particle size / viscosity, and the technical defect of insufficient output matching accuracy under the multi-variable coupling working conditions caused by the lack of pre-judgment ability of the traditional feedback control for the load fluctuation of the rear-end belt.

[0005] To solve the above technical problems, the specific technical solutions of the present invention are as follows: In the first aspect, the present invention provides a regulating device for the outlet baffle of an activation feeder, including: A data acquisition module for real-time acquisition of the conveyor belt load data and the material state data at the discharge port of the feeder. A parameter optimization module configured to dynamically optimize the first-order control parameters and the second-order control parameters in the control decision module through a genetic algorithm, and generate an optimized parameter set including the outlet baffle adjustment coefficient and the vibration intensity adjustment coefficient. A control decision module configured to calculate the outlet baffle angle adjustment amount according to the conveyor belt load data and the outlet baffle adjustment coefficient in the optimized parameter set, and calculate the target vibration amplitude of the vibration adjustment plate based on the material state data and the vibration intensity adjustment coefficient in the optimized parameter set. An execution module configured to convert the outlet baffle angle adjustment amount into a displacement control instruction of an electric push rod to adjust the outlet width, and convert the target vibration amplitude into a drive signal of a vibration mechanism to adjust the vibration amplitude of the vibration adjustment plate.

[0006] Further, for the outlet baffle adjustment device of the activation feeder of the present invention, the parameter optimization module includes: A fitness calculation unit for calculating the fitness of the first-order control parameters and the second-order control parameters corresponding to each chromosome in the genetic algorithm according to the deviation value between the historical load data and the target output. An iterative optimization unit for iteratively optimizing the first-order control parameters and the second-order control parameters through the selection, crossover and mutation operations of the genetic algorithm, and generating an optimized parameter set including the outlet baffle adjustment coefficient and the vibration intensity adjustment coefficient until the fitness meets a preset threshold.

[0007] Further, for the outlet baffle adjustment device of the activation feeder of the present invention, the control decision module includes: a first-order control unit, when it detects that the output is too small, generates an outlet baffle angle adjustment amount based on the outlet baffle adjustment coefficient in the optimized parameter set, and triggers the execution module to drive the electric push rod to adjust the outlet baffle angle. A second-order control unit, when there is still a deviation in the conveyor belt load data after the outlet baffle angle is adjusted, generates the target vibration amplitude of the vibration adjustment plate based on the vibration intensity adjustment coefficient in the optimized parameter set and the current material state data, and triggers the execution module to adjust the vibration amplitude.

[0008] Further, for the outlet baffle adjustment device of the activation feeder of the present invention, when the first-order control unit and the second-order control unit operate in cooperation, the parameter optimization module is further configured to: Update the weight distribution of the first-order control parameters and the second-order control parameters in the genetic algorithm fitness function according to the cooperative adjustment result of the outlet baffle angle adjustment amount and the vibration amplitude adjustment amount, so as to optimize the generation logic of the adjustment coefficient in the subsequent iteration process.

[0009] Furthermore, for the outlet baffle regulating device of the activation feeder of the present invention, the data acquisition module is further configured to: monitor the viscosity parameter of the material in real time through a pressure sensor, and input the viscosity parameter into the fitness calculation unit of the parameter optimization module, so as to dynamically adjust the mutation probability parameter in the genetic algorithm mutation operation based on the viscosity parameter.

[0010] In a second aspect, the present invention provides an outlet baffle regulating method for an activation feeder, which is applied to the outlet baffle regulating device of the activation feeder, and includes: collecting in real time the conveying belt load data and the material state data at the outlet of the feeder; dynamically optimizing the first-order control parameter and the second-order control parameter based on a genetic algorithm to generate an optimized parameter set including an outlet baffle adjustment coefficient and a vibration intensity adjustment coefficient; calculate the outlet baffle angle adjustment amount according to the conveying belt load data and the outlet baffle adjustment coefficient in the optimized parameter set, and calculate the target vibration amplitude of the vibration adjustment plate based on the material state data and the vibration intensity adjustment coefficient in the optimized parameter set; convert the outlet baffle angle adjustment amount into a displacement control command of an electric push rod to adjust the outlet width, and convert the target vibration amplitude into a driving signal of a vibration mechanism to adjust the vibration amplitude.

[0011] Furthermore, for the outlet baffle regulating method of the activation feeder of the present invention, the dynamic optimization using the genetic algorithm includes: constructing a fitness function according to the deviation value between the historical load data and the target output, and the fitness function is used to evaluate the optimization degree of the first-order control parameter and the second-order control parameter; performing iterative optimization on the first-order control parameter and the second-order control parameter through the selection, crossover and mutation operations of the genetic algorithm to generate the optimized parameter set until the fitness function converges to a preset range.

[0012] Furthermore, for the outlet baffle regulating method of the activation feeder of the present invention, the calculation of the outlet baffle adjustment amount includes: when it is detected that the output is too small, generating an outlet baffle angle adjustment amount based on the outlet baffle adjustment coefficient in the optimized parameter set, and triggering the electric push rod to adjust the outlet width; if there is still a deviation in the conveying belt load data after adjustment, generating a target vibration amplitude based on the vibration intensity adjustment coefficient in the optimized parameter set and the current material state data, and triggering the vibration mechanism to adjust the vibration amplitude.

[0013] Further, in the method for adjusting the outlet baffle of the activation feeder according to the present invention, after adjusting the vibration amplitude, it further includes: updating the weight distribution of the first-order control parameter and the second-order control parameter in the fitness function according to the cooperative adjustment result of the outlet baffle angle adjustment amount and the vibration amplitude adjustment amount, so as to optimize the generation logic of the adjustment coefficient in the subsequent iteration process.

[0014] Further, in the method for adjusting the outlet baffle of the activation feeder according to the present invention, the real-time data collection includes: monitoring the viscosity parameter of the material through a pressure sensor, and inputting the viscosity parameter into the calculation process of the fitness function to dynamically adjust the mutation probability parameter in the genetic algorithm mutation operation.

[0015] Advantages of the present invention; The present invention significantly improves the material conveying stability through multi-dimensional data fusion and adaptive hierarchical control mechanism, effectively overcoming the defects of the prior art. The data acquisition module obtains the conveyor belt load data, material viscosity and particle size distribution parameters in real time, and constructs a dynamic working condition characteristic matrix; the parameter optimization module iteratively optimizes the first-order and second-order control parameters based on the genetic algorithm, evaluates the historical adjustment effect through the fitness function and generates an optimized parameter set adapted to the current physical property characteristics, solving the problem of adjustment lag of a single vibration parameter under non-linear working conditions. The control decision module adopts a hierarchical trigger strategy, preferentially adjusts the outlet baffle angle to quickly respond to the output deviation, and combines the vibration amplitude adjustment to compensate for the material viscosity effect. The dual variables cooperate to break through the mechanical locking bottleneck of traditional single-dimensional adjustment. The execution module realizes the precise execution of the adjustment amount through displacement-electric signal conversion, and cooperates with the closed-loop feedback mechanism to dynamically update the genetic algorithm weight distribution, enabling the system to adaptively adjust the control parameters when the material humidity / particle size changes suddenly, improving the output matching accuracy under multi-variable coupling working conditions, reducing the risk of secondary bridging and extending the service life of the equipment. Brief description of the drawings

[0016] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, other drawings can be obtained according to the drawings without creative efforts.

[0017] Figure 1 It is a flowchart of a method for adjusting the outlet baffle of an activation feeder provided by an embodiment of the present invention.

[0018] Figure 2 It is a first schematic diagram in the application scenario of an activation feeder outlet baffle adjustment device provided by an embodiment of the present invention.

[0019] Figure 3 It is a second schematic diagram in the application scenario of an activation feeder outlet baffle adjustment device provided by an embodiment of the present invention.

[0020] Figure 4 This is a system architecture diagram in the scenario of the adjustment method embodiment of an activation feeder outlet baffle adjustment device provided by an embodiment of the present invention. Detailed implementation manners

[0021] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. The following will detail the technical solutions provided by each embodiment of the present invention with reference to the drawings. To better understand the objectives of the present invention, the present invention will be further described in detail below.

[0022] In a first aspect, please refer to Figure 1 , the present invention provides an activation feeder outlet baffle adjustment device, including: A data acquisition module, configured to collect in real time the conveying belt load data and the material state data at the outlet of the feeder; A parameter optimization module, configured to dynamically optimize the first-order control parameters and the second-order control parameters in the control decision module through a genetic algorithm to generate an optimized parameter set including an outlet baffle adjustment coefficient and a vibration intensity adjustment coefficient; A control decision module, configured to calculate the outlet baffle angle adjustment amount according to the conveying belt load data and the outlet baffle adjustment coefficient in the optimized parameter set, and calculate the target vibration amplitude of the vibration adjustment plate based on the material state data and the vibration intensity adjustment coefficient in the optimized parameter set; An execution module, configured to convert the outlet baffle angle adjustment amount into a displacement control command for an electric push rod to adjust the outlet width, and convert the target vibration amplitude into a drive signal for a vibration mechanism to adjust the vibration amplitude of the vibration adjustment plate.

[0023] The present invention provides an activation feeder outlet baffle adjustment device, including the following technical solutions. The data acquisition module obtains the load data in real time through a load sensor installed on the conveying belt, and monitors the viscosity, humidity, and particle size distribution parameters of the material using a pressure sensor at the hopper outlet to form a material state data set. The module transmits the data to the parameter optimization module at a fixed sampling frequency to provide dynamic input for subsequent control.

[0024] The parameter optimization module dynamically optimizes the first-order control parameters and second-order control parameters in the control decision module based on the genetic algorithm. The fitness calculation unit constructs a fitness function according to the deviation value between the historical load data and the target output, and quantifies the control effect of the current parameter combination. The iterative optimization unit generates an optimized parameter set including the outlet baffle adjustment coefficient and the vibration intensity adjustment coefficient by selecting chromosomes with higher fitness and performing crossover and mutation operations. During the optimization process, the mutation probability parameter is dynamically adjusted according to the material viscosity parameter collected in real time to enhance the adaptability of the algorithm to non-linear working conditions.

[0025] After receiving the optimized parameter set, the control decision module calculates the outlet baffle angle adjustment amount according to the mapping relationship between the conveyor belt load data and the outlet baffle adjustment coefficient. If it is detected that the output is too small, the first-order control unit is preferentially triggered to generate an angle adjustment instruction to drive the electric push rod to narrow the width of the discharge port. When there is still a deviation in the adjusted load data, a target vibration amplitude is generated based on the vibration intensity adjustment coefficient and the current material state data, and the second-order control unit is triggered to adjust the amplitude of the vibration adjustment plate. The switching between the two control modes is determined based on the real-time load deviation threshold to ensure response timeliness.

[0026] The execution module converts the outlet baffle angle adjustment amount into a displacement control instruction for the electric push rod, and drives the push rod to linearly displace through a pulse width modulation signal to accurately adjust the opening degree of the discharge port. At the same time, the target vibration amplitude generates a drive signal for the vibration mechanism through the digital-to-analog conversion module, and adjusts the input voltage of the excitation motor to control the vibration amplitude. During the execution process, the displacement sensor and the vibration amplitude detector feedback the adjustment results in real time to form a closed-loop control.

[0027] The data flow between the modules follows the closed-loop logic of "acquisition - optimization - decision - execution". The output of the parameter optimization module directly affects the calculation accuracy of the adjustment amount of the control decision module, and the feedback data of the execution module further optimizes the weight distribution of the fitness function of the genetic algorithm. The material state data runs through the entire process as a dynamic variable, enabling the system to adapt to physical property changes and external disturbances, and improving the control stability under multi-variable coupling working conditions.

[0028] Specifically, for the outlet baffle adjustment device of the activation feeder described in the present invention, the parameter optimization module includes: A fitness calculation unit for calculating the fitness of the first-order control parameters and second-order control parameters corresponding to each chromosome in the genetic algorithm according to the deviation value between the historical load data and the target output; An iterative optimization unit that iteratively optimizes the first-order control parameters and second-order control parameters through the selection, crossover, and mutation operations of the genetic algorithm to generate an optimized parameter set including the outlet baffle adjustment coefficient and the vibration intensity adjustment coefficient until the fitness meets the preset threshold.

[0029] The operation logic of the parameter optimization module is based on the multi-generation evolution mechanism of the genetic algorithm. The fitness calculation unit receives the historical load data sequence and uses the deviation value between the target output and the average historical output as the benchmark evaluation index. Each chromosome encoding corresponds to a combination of first-order control parameters and second-order control parameters. The fitness value is calculated by weighting the absolute value of the output deviation under the current parameter combination and the cumulative change in the adjustment action. The fitness calculation result reflects the control stability and adjustment efficiency of the parameter combination under historical working conditions. The lower the value, the higher the optimization degree of the parameter combination.

[0030] The iterative optimization unit randomly generates an initial population containing multiple chromosome individuals in the initialization stage, and each individual represents a different parameter combination scheme. The selection operation retains the top 30% of the high-fitness individuals as the parent population according to the fitness ranking, and selects the individual pairs participating in the crossover operation through the roulette wheel algorithm. The crossover operation adopts a single-point crossover strategy, and exchanges the gene segments of the parent individuals at a randomly selected gene locus to generate offspring individuals to inherit the dominant characteristics. The mutation operation perturbs the random gene positions of the offspring individuals with a dynamically adjusted probability parameter. The mutation probability increases linearly according to the real-time material viscosity parameter to enhance the population diversity.

[0031] The generation of the optimized parameter set is completed through multiple generations of iteration. After each round of iteration, the population is updated and the fitness is recalculated. When the numerical fluctuation of the highest-fitness individual in the population for three consecutive generations is less than the preset threshold, the algorithm is determined to converge. At this time, the individual with the optimal fitness is decoded into first-order control parameters and second-order control parameters to form an optimized parameter set including the outlet baffle adjustment coefficient and the vibration intensity adjustment coefficient. This set is the core input of the control decision module and directly determines the calculation accuracy of the adjustment amount of the subsequent control strategy.

[0032] Specifically, for the outlet baffle adjustment device of the activated feeder described in the present invention, the control decision module includes: a first-order control unit, when it detects that the output is too small, generates an outlet baffle angle adjustment amount based on the outlet baffle adjustment coefficient in the optimized parameter set, and triggers the execution module to drive the electric push rod to adjust the outlet baffle angle; a second-order control unit, when there is still a deviation in the conveyor belt load data after the outlet baffle angle is adjusted, generates the target vibration amplitude of the vibration adjustment plate based on the vibration intensity adjustment coefficient in the optimized parameter set and the current material state data, and triggers the execution module to adjust the vibration amplitude.

[0033] The operation logic of the control decision module adopts a hierarchical trigger mechanism. The first-level control unit continuously monitors the difference between the conveying belt load data and the target output. When it detects that the output is lower than 15% of the set threshold, the outlet baffle adjustment program is activated. This unit calls the outlet baffle adjustment coefficient in the optimization parameter set, combines it with the ratio of the current outlet width to the target width, and generates an angle adjustment amount through the PID algorithm. The angle adjustment instruction forms a pulse width modulation signal for the electric push rod after digital-to-analog conversion, driving the push rod to execute a linear displacement, so that the baffle angle is adjusted within 0.5 seconds, and the cross-sectional area of the outlet is synchronously reduced to increase the instantaneous material flow rate.

[0034] The second-level control unit continuously monitors the fluctuation range of the conveying belt load data within a 3-second delay window after the first-level control is completed. If the load deviation still exceeds ±5% of the allowable range, the vibration adjustment program is started. Based on the vibration intensity adjustment coefficient in the optimization parameter set and combined with the material viscosity parameter real-time feedback by the pressure sensor, this unit calculates the target vibration amplitude through the fuzzy control algorithm. The vibration amplitude instruction is processed by the signal amplifier and drives the electromagnetic coil of the vibration mechanism to adjust the excitation force amplitude, so that the vibration plate amplitude reaches the set value within 0.2 seconds, effectively breaking the material viscous layer.

[0035] The switching logic of the two control modes is embedded in the closed-loop feedback mechanism. The first-level control unit automatically starts the second-level control monitoring thread after execution and obtains the real-time load data through the shared memory area. When it detects that the second-level control trigger condition is established, the system automatically suspends the current control thread and starts the vibration adjustment process. The angle adjustment amount and vibration amplitude data generated during the control process are written into the historical database in real time, serving as the feedback input of the parameter optimization module to form an adaptive optimization loop for the control parameters.

[0036] Specifically, for the outlet baffle adjustment device of the activation feeder described in the present invention, when the first-level control unit and the second-level control unit operate in cooperation, the parameter optimization module is further configured as follows: According to the cooperative adjustment result of the outlet baffle angle adjustment amount and the vibration amplitude adjustment amount, update the weight distribution of the first-level control parameters and the second-level control parameters in the genetic algorithm fitness function to optimize the generation logic of the adjustment coefficient in the subsequent iteration process.

[0037] The parameter optimization module starts a dynamic weight adjustment mechanism in the cooperative control mode. When the first-level control unit and the second-level control unit operate simultaneously, the displacement sensor real-time collects the actual displacement data of the outlet baffle angle adjustment amount, and the vibration amplitude detector synchronously records the execution result of the vibration amplitude adjustment amount. The two adjustment amount data are transmitted to the parameter optimization module through the data bus to form a cooperative adjustment result data set.

[0038] The fitness function weight update process is based on the quantitative evaluation of historical adjustment effects. The parameter optimization module calculates the average convergence speed and fluctuation amplitude of the load deviation values within the last five collaborative adjustment cycles, corresponding to the adjustment efficiency indicators of the first-order control parameter and the second-order control parameter respectively. When the deviation convergence speed is lower than the preset reference value, the weight coefficient of the first-order control parameter is increased; if the fluctuation amplitude exceeds the allowable threshold, the weight proportion of the second-order control parameter is increased. The weight adjustment amplitude is in direct proportion to the degree of deviation of the efficiency indicator, and the maximum adjustment amplitude does not exceed 50% of the initial weight.

[0039] The updated fitness function takes effect in the next-generation genetic algorithm iteration. The crossover operation preferentially retains the gene segments corresponding to the high-weight parameters, and the mutation operation increases the perturbation probability for the low-weight parameters. The weight assignment data is written into the metadata area of the chromosome to guide the screening priority of the parent individuals during the selection operation. After three to five rounds of iteration, the outlet baffle adjustment coefficient and the vibration intensity adjustment coefficient in the optimized parameter set gradually match the dynamic characteristics of the current material.

[0040] The closed-loop feedback mechanism maintains system stability through real-time data streams. After each weight update, the parameter optimization module re-evaluates the optimized parameter set generated in the previous ten rounds of iteration and eliminates the abnormal parameter combinations with a fitness decrease of more than 10%. The collaborative adjustment result data is simultaneously input into the historical database to expand the training sample set and enhance the generalization ability of the genetic algorithm for non-linear working conditions. The adaptive adjustment period of the weight assignment strategy is synchronized with the material conveying rate, shortened to 0.5 seconds in the high-speed conveying mode and extended to 3 seconds in the low-speed mode, to balance the consumption of computing resources and the control response requirements.

[0041] Specifically, for the outlet baffle adjustment device of the activation feeder described in the present invention, the data acquisition module is further configured to: real-time monitor the viscosity parameter of the material through a pressure sensor, and input the viscosity parameter into the fitness calculation unit of the parameter optimization module to dynamically adjust the mutation probability parameter in the genetic algorithm mutation operation based on the viscosity parameter.

[0042] The material viscosity monitoring function of the data acquisition module is realized by an array of pressure sensors installed at the outlet of the hopper. The sensors collect the pressure fluctuation data of the material flow on the vibration plate at a sampling frequency of 50 Hz. After noise filtering and baseline calibration by the signal conditioning circuit, a normalized parameter value characterizing the material viscosity characteristics is generated. This parameter value is transmitted to the fitness calculation unit of the parameter optimization module through the industrial bus and participates in the genetic algorithm optimization process as a real-time working condition variable.

[0043] After receiving the viscosity parameter, the fitness calculation unit starts the dynamic mutation probability adjustment program. The system presets a mapping relationship table between the viscosity parameter threshold range and the mutation probability. When it is detected that the viscosity parameter exceeds the upper threshold, the benchmark mutation probability of the genetic algorithm is increased by 20% - 50%. The adjustment amplitude of the viscosity parameter and the mutation probability is determined by the piecewise linear interpolation algorithm to ensure the adjustment smoothness when the parameter changes continuously. The adjusted mutation probability acts on the mutation operation stage of the iterative optimization unit to increase the exploration ability of the population in the solution space.

[0044] The collaborative working mechanism of the parameter optimization module is reflected in the data closed-loop feedback. After each mutation operation, the newly generated parameter combination immediately participates in the fitness calculation, and its control effect is verified backward through the subsequent adjustment amount data. When the change of the viscosity parameter exceeds 10%, the real-time recalculation of the mutation probability is triggered, and the system automatically updates the threshold range division in the mapping relationship table. The historical data generated during the dynamic adjustment process is stored in the circular buffer queue for parameter calibration verification at the end of the optimization cycle to maintain the algorithm stability.

[0045] In a second aspect, the present invention provides a method for adjusting the outlet baffle of an activation feeder, which is applied to the activation feeder outlet baffle adjusting device, including: Step S101, collecting the conveying belt load data and the material state data at the outlet of the feeder in real time; Step S102, dynamically optimizing the first-order control parameter and the second-order control parameter based on the genetic algorithm to generate an optimization parameter set including the outlet baffle adjustment coefficient and the vibration intensity adjustment coefficient; Step S103, calculating the outlet baffle angle adjustment amount according to the conveying belt load data and the outlet baffle adjustment coefficient in the optimization parameter set, and calculating the target vibration amplitude of the vibration adjustment plate based on the material state data and the vibration intensity adjustment coefficient in the optimization parameter set; Step S104, converting the outlet baffle angle adjustment amount into a displacement control instruction of the electric push rod to adjust the outlet width, and converting the target vibration amplitude into a driving signal of the vibration mechanism to adjust the vibration amplitude.

[0046] Specifically, for the method for adjusting the outlet baffle of the activation feeder of the present invention, the dynamic optimization using the genetic algorithm includes: constructing a fitness function according to the deviation value between the historical load data and the target output, and the fitness function is used to evaluate the optimization degree of the first-order control parameter and the second-order control parameter; iteratively optimizing the first-order control parameter and the second-order control parameter through the selection, crossover and mutation operations of the genetic algorithm to generate the optimization parameter set until the fitness function converges to a preset range.

[0047] Specifically, for the method of adjusting the outlet baffle of the activation feeder of the present invention, the calculation of the outlet baffle adjustment amount includes: when it is detected that the output is too small, an outlet baffle angle adjustment amount is generated based on the outlet baffle adjustment coefficient in the optimization parameter set, and an electric push rod is triggered to adjust the width of the discharge port; If there is still a deviation in the conveyor belt load data after adjustment, a target vibration amplitude is generated based on the vibration intensity adjustment coefficient in the optimization parameter set and the current material state data, and a vibration mechanism is triggered to adjust the vibration amplitude.

[0048] Specifically, for the method of adjusting the outlet baffle of the activation feeder of the present invention, further after adjusting the vibration amplitude, it includes: according to the collaborative adjustment result of the outlet baffle angle adjustment amount and the vibration amplitude adjustment amount, the weight distribution of the first-order control parameter and the second-order control parameter in the fitness function is updated to optimize the generation logic of the adjustment coefficient in the subsequent iteration process.

[0049] Specifically, for the method of adjusting the outlet baffle of the activation feeder of the present invention, the real-time data acquisition includes: monitoring the viscosity parameter of the material through a pressure sensor, and inputting the viscosity parameter into the calculation process of the fitness function to dynamically adjust the mutation probability parameter in the genetic algorithm mutation operation.

[0050] Please refer to Figures 2 to 4 , the technical solution of the present invention includes the following structure: material 1, vibration adjustment plate 2, outlet adjustment baffle 3, feeder hopper 4, operating rod 5, telescopic motor 6, and connecting rod 7.

[0051] The feeder is composed of a hopper 4 and an intermediate vibration adjustment plate 2. One end of the outlet adjustment baffle 3 is connected to the edge of the feeder hopper 4 through a bearing. After passing out from the edge, a control rod 5 is welded, and its control is driven by a telescopic motor 6 to drive a connecting rod 7. The movement of the telescopic motor 6 drives the position change of the connecting rod 7, drives the control rod 5, and changes the angle of the internal outlet adjustment baffle 3 to change the width of the outlet channel.

[0052] When the feeder is running, when the material state is within the design range of the feeder and stable, the output can be controlled through the vibration adjustment plate 2. However, when the material changes and the vibration adjustment control force is insufficient, the outlet adjustment baffle 3 can be adjusted for control. When the output is too large or too small and cannot be controlled, this device can be used to control the output. When the output is too large, the outlet adjustment baffle 3 can be controlled to rotate upward. In this state, the width of the discharge port decreases. Conversely, it is adjusted to rotate downward, and the width of the discharge port increases.

[0053] When the material properties are unstable, they can be controlled through the designed control program. Under this logic, given the target quantity, since there is a certain distance adjustment required in advance between the feeder and the equipment for measuring the load behind, there is a certain lead. Through the hierarchical control method, the vibration adjustment plate 2 and the outlet adjustment baffle 3 are controlled separately. When adjusting, there are two cases: When the output is too small, the first-order control first adjusts the outlet adjustment baffle 3, and the second-order control adjusts the vibration adjustment plate 2.

[0054] The first-order control program is: , where f is the adjustment amount, a is the adjustment coefficient, and Δx is the change in the outlet width The second-order control program is: , where f is the adjustment amount, b is the adjustment coefficient, and Δp is the change in air pressure When the output is too large, the first-order control first adjusts the vibration adjustment plate 2, and the second-order control adjusts the outlet adjustment baffle 3.

[0055] The first-order control program is: , where f is the adjustment amount, c is the adjustment coefficient, and Δp is the change in air pressure The second-order control program is: , where f is the adjustment amount, d is the adjustment coefficient, and Δx is the change in the outlet width.

[0056] A specific embodiment of the present invention relates to an activation feeder outlet baffle adjustment device and method, the structure of which includes a hopper, a vibration adjustment plate, an outlet adjustment baffle, and a drive mechanism. The bottom of the hopper is hinged to the vibration adjustment plate, and the outlet adjustment baffle is connected to the edge of the hopper outlet through a bearing, and an operating rod is welded at the end and linked with a connecting rod driven by a telescopic motor. After receiving the displacement control instruction, the telescopic motor drives the operating rod to rotate through the connecting rod, so that the outlet adjustment baffle rotates around the bearing axis by 0 - 45 degrees, realizing continuous adjustment of the outlet width within the range of 50 - 200 mm.

[0057] In the initial stage of the device operation, the data acquisition module obtains the conveying load data through the belt load sensor at a sampling frequency of 10 Hz, and at the same time uses an array of pressure sensors to monitor the pressure distribution characteristics of the material at the hopper outlet, and calculates the viscosity parameter and the particle size distribution index. The parameter optimization module performs iterative analysis on the historical load data sequence based on the genetic algorithm, generates an optimization parameter set including the outlet baffle adjustment coefficient α (0.5 - 1.2) and the vibration intensity adjustment coefficient β (0.8 - 1.5), and updates the parameter combination every 30 seconds.

[0058] The control decision-making module triggers the hierarchical control strategy according to the real-time load data. When it is detected that the output is lower than 15% of the set value, the first-order control unit calls the α coefficient in the current optimized parameter set and generates the outlet baffle angle adjustment amount in combination with the PID algorithm. The telescopic motor drives the baffle to rotate to the target angle within 0.5 seconds, reducing the width of the discharge port by 20 - 40 mm. If the load deviation still exceeds ±5% within 3 seconds after adjustment, the second-order control unit starts the vibration adjustment program, generates the vibration amplitude adjustment instruction based on the β coefficient and the current viscosity parameter, and the electromagnetic vibrator increases the amplitude to 2 - 4 mm within 0.3 seconds.

[0059] When the material viscosity parameter exceeds the preset threshold, the parameter optimization module dynamically adjusts the mutation probability of the genetic algorithm to 1.2 - 1.8 times the reference value, enhancing the adaptability of the algorithm to non-linear working conditions. In the collaborative control stage, the displacement sensor real-time feedbacks the baffle angle adjustment amount, and the vibration accelerometer monitors the actual amplitude. After the data of the two are fused, the weight distribution ratio of α and β in the fitness function is updated, making the adjustment coefficients generated by subsequent iterations more suitable for the current material characteristics.

[0060] The execution module adopts a closed-loop control mechanism, with the displacement error of the electric push rod controlled within ±0.5 mm and the vibration amplitude adjustment accuracy reaching ±0.2 mm. The load response data generated by each adjustment operation is written into the historical database as the training sample for the next iteration of the genetic algorithm. When it is detected that the dispersion degree of the material particle size distribution exceeds 25%, the system automatically shortens the parameter optimization period to 15 seconds to improve the control response speed. During the operation of the device, the collaborative effect of the outlet baffle and the vibration adjustment plate effectively solves the problem of sticky material bridging and improves the feeding stability in the chemical raw material conveying scenario.

[0061] The present invention solves the limitations of single vibration parameter adjustment in the prior art through a multi-dimensional data acquisition and adaptive parameter optimization mechanism. The data acquisition module real-time obtains the load data of the conveyor belt and the state parameters such as the viscosity and particle size distribution of the material, and constructs a dynamic working condition database. The parameter optimization module iteratively optimizes the first-order control parameter (outlet baffle adjustment coefficient) and the second-order control parameter (vibration intensity adjustment coefficient) based on the genetic algorithm, generating an optimized parameter set suitable for the current material characteristics. The genetic algorithm evaluates the historical control effect through the fitness function, and dynamically adjusts the parameter combination in combination with crossover and mutation operations, enabling the control strategy to respond to the non-linear disturbances brought by the physical property changes such as material humidity and viscosity, breaking through the linear limitations of traditional single vibration adjustment.

[0062] The hierarchical control strategy improves the output matching accuracy by coordinately adjusting the action sequence of the outlet baffle and the vibrating plate. When insufficient output is detected, the first-order control unit preferentially calls the outlet baffle adjustment coefficient to drive the electric push rod to narrow the width of the discharge port to increase the instantaneous material flow rate. If the load deviation still exceeds the threshold after adjustment, the second-order control unit generates a target vibration amplitude command based on the vibration intensity adjustment coefficient and the real-time viscosity parameter to break the material viscous layer. The switching logic of the two control modes is embedded in the real-time feedback mechanism of the load data. When the dispersion of the material particle size distribution increases or the stick-slip effect is significant, the risk of secondary bridging caused by single vibration overshoot is avoided through staged adjustment.

[0063] The closed-loop feedback and weight dynamic allocation mechanism enhances the prediction ability under multi-variable coupling conditions. The displacement sensor and the vibration amplitude detector collect the outlet baffle angle and the vibration amplitude adjustment amount in real time, and the parameter optimization module updates the weight ratio of the first-order and second-order control parameters in the genetic algorithm according to the collaborative adjustment result. When the material viscosity parameter mutates, the system automatically increases the mutation probability to expand the search range of the solution space, and at the same time shortens the parameter optimization period to match the change of the conveying rate. This mechanism enables the control parameters to continuously evolve, complete pre-adjustment before the belt load fluctuates, and achieve precise output matching under multi-variable dynamic balance.

Claims

1. An adjusting device for the outlet baffle of an activating feeder, characterized in that, Including: A data acquisition module, configured to acquire in real time the conveyor belt load data and the material state data at the discharge port of the feeder; A parameter optimization module, configured to dynamically optimize the first-order control parameters and the second-order control parameters in the control decision module through a genetic algorithm, and generate an optimization parameter set including an outlet baffle adjustment coefficient and a vibration intensity adjustment coefficient; A control decision module, configured to calculate the outlet baffle angle adjustment amount according to the conveyor belt load data and the outlet baffle adjustment coefficient in the optimization parameter set, and calculate the target vibration amplitude of the vibration adjustment plate based on the material state data and the vibration intensity adjustment coefficient in the optimization parameter set; An execution module, configured to convert the outlet baffle angle adjustment amount into a displacement control instruction of an electric push rod to adjust the width of the discharge port, and convert the target vibration amplitude into a drive signal of a vibration mechanism to adjust the vibration amplitude of the vibration adjustment plate.

2. The activation feeder outlet baffle adjusting device according to claim 1, wherein The parameter optimization module includes: A fitness calculation unit, configured to calculate the fitness of the first-order control parameters and the second-order control parameters corresponding to each chromosome in the genetic algorithm according to the deviation value between the historical load data and the target output; An iterative optimization unit, which performs iterative optimization on the first-order control parameters and the second-order control parameters through the selection, crossover and mutation operations of the genetic algorithm, and generates an optimization parameter set including an outlet baffle adjustment coefficient and a vibration intensity adjustment coefficient until the fitness meets a preset threshold.

3. The activation feeder outlet baffle adjustment device according to claim 2, characterized in that, The control decision module includes: a first-order control unit, when it detects that the output is too small, generates an outlet baffle angle adjustment amount based on the outlet baffle adjustment coefficient in the optimization parameter set, and triggers the execution module to drive the electric push rod to adjust the outlet baffle angle; A second-order control unit, when there is still a deviation in the conveyor belt load data after the outlet baffle angle is adjusted, generates the target vibration amplitude of the vibration adjustment plate based on the vibration intensity adjustment coefficient in the optimization parameter set and the current material state data, and triggers the execution module to adjust the vibration amplitude.

4. The activating feeder outlet baffle adjusting device according to claim 3, wherein When the first-order control unit and the second-order control unit operate in coordination, the parameter optimization module is further configured to: Update the weight distribution of the first-order control parameters and the second-order control parameters in the genetic algorithm fitness function according to the coordinated adjustment result of the outlet baffle angle adjustment amount and the vibration amplitude adjustment amount, so as to optimize the generation logic of the adjustment coefficient in the subsequent iteration process.

5. The outlet baffle adjusting device of the activation feeder according to claim 1, characterized in that The data acquisition module is further configured to: monitor the viscosity parameter of the material in real time through a pressure sensor, and input the viscosity parameter into the fitness calculation unit of the parameter optimization module to dynamically adjust the mutation probability parameter in the mutation operation of the genetic algorithm based on the viscosity parameter.

6. A method for adjusting the outlet baffle of an activation feeder, which is applied to the outlet baffle adjusting device of the activation feeder according to any one of claims 1 to 5, and is characterized in that, Including: Acquiring in real time the conveyor belt load data and the material state data at the discharge port of the feeder; Dynamically optimizing the first-order control parameters and the second-order control parameters based on a genetic algorithm, and generating an optimization parameter set including an outlet baffle adjustment coefficient and a vibration intensity adjustment coefficient; Calculate the outlet baffle angle adjustment amount according to the conveyor belt load data and the outlet baffle adjustment coefficient in the optimization parameter set, and calculate the target vibration amplitude of the vibration adjustment plate based on the material state data and the vibration intensity adjustment coefficient in the optimization parameter set; Convert the outlet baffle angle adjustment amount into a displacement control command for the electric push rod to adjust the width of the discharge port, and convert the target vibration amplitude into a drive signal for the vibration mechanism to adjust the vibration amplitude.

7. The method for adjusting the outlet baffle of the activation feeder according to claim 6, characterized in that, The dynamic optimization using the genetic algorithm includes: constructing a fitness function according to the deviation value between the historical load data and the target output, and the fitness function is used to evaluate the optimization degree of the first-order control parameters and the second-order control parameters; performing iterative optimization on the first-order control parameters and the second-order control parameters through the selection, crossover and mutation operations of the genetic algorithm to generate the optimization parameter set until the fitness function converges to a preset range.

8. The method for adjusting the outlet baffle of the activation feeder according to claim 7, wherein The calculation of the outlet baffle adjustment amount includes: when it is detected that the output is too small, generate an outlet baffle angle adjustment amount based on the outlet baffle adjustment coefficient in the optimization parameter set, and trigger the electric push rod to adjust the width of the discharge port; If there is still a deviation in the conveyor belt load data after adjustment, generate a target vibration amplitude based on the vibration intensity adjustment coefficient in the optimization parameter set and the current material state data, and trigger the vibration mechanism to adjust the vibration amplitude.

9. The method for adjusting the outlet baffle of the activation feeder according to claim 8, characterized in that, After adjusting the vibration amplitude, it further includes: updating the weight distribution of the first-order control parameters and the second-order control parameters in the fitness function according to the cooperative adjustment result of the outlet baffle angle adjustment amount and the vibration amplitude adjustment amount, so as to optimize the generation logic of the adjustment coefficient in the subsequent iterative process.

10. The method for adjusting the outlet baffle of the activation feeder according to claim 6, characterized in that, The real-time data acquisition includes: monitoring the viscosity parameter of the material through a pressure sensor, and inputting the viscosity parameter into the calculation process of the fitness function to dynamically adjust the mutation probability parameter in the mutation operation of the genetic algorithm.

Images