Vibration frequency self-adaptive adjustment compaction device

Abstract

The invention discloses a vibration frequency self-adaptive adjustment vibration compaction device, and aims to solve the problems of poor vibration compaction quality, equipment overload and the like caused by non-uniform load distribution of an existing vibration compaction platform. The device comprises a partitioned compaction platform, a vibration motor, an air damping spring, a data acquisition module, a data processing module and a control system, four partitions and corresponding vibration motors are arranged at the bottom of the platform, and air damping springs at the four corners have the supporting and load sensing functions. The data acquisition module acquires spring pressure, motor vibration frequency and platform relative distance; the data processing module is used for receiving the pressure numerical value and the vibration frequency and generating a regulation and control strategy based on the vibration frequency and the pressure, and the control system regulates and controls the vibration frequency of the vibration motor and the pressure of the damping assembly based on the regulation and control strategy; and meanwhile, operation scores are generated based on dynamic data to realize fault early warning. The device realizes load adaptation and accurate regulation and control, improves the compaction uniformity, protects equipment, and adapts to working conditions in multiple fields.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tamping platform, and particularly relates to a tamping device with self-adaptive vibration frequency. BACKGROUND

[0002] In the fields of building materials, road engineering, precision manufacturing and lost foam casting, the tamping process is a core link to guarantee the forming quality and structural stability of materials, and the core execution equipment is a tamping platform. The tamping platform generates periodic excitation force through a vibration motor, drives the object to be vibrated (such as a concrete prefabricated part, asphalt mixture, powder metallurgy blank, dry sand mold for lost foam casting, etc.) to vibrate, promotes the air between the material particles to be discharged and the gap to be reduced, and finally realizes the improvement of material density; for example, in the production of concrete prefabricated parts, the tamping process can reduce the porosity inside the component and significantly improve the compressive strength and durability of the component; in the construction of road base, the tamping platform can ensure the compaction degree of the asphalt mixture and prolong the service life of the road; in the field of lost foam casting, the tamping platform needs to uniformly vibrate the dry sand filled around the lost foam mold, so that the dry sand tightly wraps the mold, avoiding defects such as sand holes and collapsed boxes after the casting is formed, especially for complex structure castings (such as engine cylinder body and special-shaped pipe fittings), the uniformity of dry sand tamping directly determines the size precision and surface quality of the casting. The use scenarios of the tamping platform present the characteristics of multiple materials and multiple working conditions: in the workshop assembly line production, the standardized size prefabricated components, dry sand molds for lost foam casting standard parts, etc. need to be batched and tamped, and the tamping parameters need to be stable and controllable; in the temporary operation at the construction site, the object to be vibrated needs to be adapted to different shapes (such as special-shaped concrete components and asymmetric lost foam molds) and different materials (such as lightweight thermal insulation bricks and ordinary clay bricks, and casting dry sand of different particle sizes), and higher requirements are put forward for the adaptability of the equipment; in the field of precision manufacturing, the tamping of powder materials for electronic component packaging also needs to consider the tamping effect and the integrity of the material microstructure, so as to avoid the performance degradation of the material caused by excessive vibration; in the lost foam casting workshop, since the object to be vibrated is a composite system of lost foam mold and dry sand, the particle size of the dry sand and the complexity of the mold will affect the tamping requirement, for example, for the lost foam mold containing deep cavity, precise tamping is needed to ensure that the dry sand fills the cavity, while avoiding deformation or damage of the mold due to vibration impact. The working principle of the current mainstream vibration platform is based on preset parameter driving. For example, the invention patent 202210837184.1 discloses a tightness control system and method applied to the vibration molding of a vibration table. The core components include a vibration platform body for bearing the objects to be vibrated, a vibration motor for providing excitation force, an air damping spring for buffering and damping, and a simple control system for controlling the start and stop and frequency of the vibration motor. Before actual operation, the operator needs to preset the initial vibration frequency of the vibration motor and the initial pressure of the air damping spring according to the theoretical parameters of the objects to be vibrated (such as weight, volume, material characteristics, and in the case of lost foam, the dry sand bulk density and mold weight distribution also need to be considered); during operation, the vibration motor continuously outputs excitation force at the preset frequency, and the air damping spring buffers the vibration impact through its elastic deformation to avoid transmission of the vibration force to the equipment base or the surrounding environment. In the case of lost foam, the vibration intensity also needs to be controlled to balance the dry sand tightness and mold protection requirements. Too weak vibration may lead to insufficient dry sand filling, and too strong vibration may cause displacement or damage to the lost foam mold. However, in actual application, there is often a significant deviation between the theoretical parameters of the objects to be vibrated and the actual placement state. This deviation is caused by multiple factors: first, the irregularity of the shape of the objects to be vibrated, such as the deviation of the center of gravity of irregular concrete components, the asymmetric filling of powder material packaging bags, the asymmetric structure of lost foam molds (such as thick walls on one side and thin walls on the other side), or local accumulation during dry sand filling, which causes the actual center of gravity on the vibration platform to be different from the theoretical center of gravity; second, the randomness of manual placement operation. It is difficult for the operator to ensure that the placement position is exactly the same every time when moving the objects to be vibrated to the platform, and situations such as edge deviation and local overhang may occur. In the case of lost foam, the relative position deviation between the mold and the dry sand box (such as the dry sand box not being placed in the center) will further exacerbate the uneven load distribution; third, the individual differences of the objects to be vibrated in batch production, such as the weight deviation of the same batch of precast components, the density changes caused by the fluctuation of material moisture content, the fluctuation of moisture content of the same batch of dry sand in lost foam casting, and the slight deviation of mold size, further exacerbating the mismatch between the actual load distribution and the preset parameters. In view of the above placement deviation, the existing vibration platform generally lacks effective adaptive control means and still relies on initial preset parameters for operation, which leads to a series of technical problems: 1. Uneven vibration quality, product qualification rate decreases Misplacement of the object to be vibrated leads to uneven load distribution on the platform (e.g., one side is overloaded and the other side is underloaded). When the vibrating motor runs at a fixed frequency, the effective excitation force obtained in the heavily loaded area is insufficient, making it difficult to achieve the required material density. In the lightly loaded area, the excessive excitation force easily leads to material segregation. For example, in concrete components, aggregates sink and cement slurry floats, resulting in sanding on the surface of the component or delamination of the internal structure. In lost foam casting, uneven load leads to differences in dry sand compaction: the dry sand in the overloaded area is excessively compacted, which may compress the mold and deform it. The dry sand in the underloaded area is not compacted enough, and the casting is prone to defects such as sand holes and shrinkage cavities after molding, resulting in a lower product qualification rate. Especially in the fields of precision manufacturing and lost foam precision casting, this problem may directly lead to the failure of electronic component packaging or the scrapping of high-value-added castings. 2. Overload operation of the vibratory motor shortens the equipment's lifespan. Uneven load distribution causes significant differences in the load torque borne by the vibratory motors in each zone. Vibratory motors in overloaded zones need to overcome greater resistance to output excitation force, causing the actual operating current of the motor to exceed the rated current. Long-term overload operation will cause overheating of the motor windings and accelerated bearing wear, reducing the average service life of the vibratory motor, while increasing equipment maintenance costs and downtime. In the lost foam casting scenario, if the mold is partially stuck, causing a sudden change in load, it may also cause instantaneous overload of the vibratory motor, resulting in serious failures such as motor burnout. 3. The air damping springs are unbalanced, resulting in a deterioration in vibration damping effect. Existing air damping springs are statically set based on initial pressure and cannot dynamically adjust the pressure according to load deviations. In areas with excessive load, the air damping springs are over-compressed, losing their elastic buffering capacity, and the vibration force is directly transmitted to the base, causing the overall equipment vibration and noise to exceed the standard. In areas with insufficient load, the air damping springs are over-stretched, which can easily lead to air leakage due to damaged seals, further disrupting the platform's force balance and creating a vicious cycle of increased vibration, spring damage, and more severe vibration. In lost foam casting workshops, excessive equipment vibration and noise can affect the mold splicing accuracy, and the damping failure caused by air leakage may also cause the dry sand box to shift during vibration, further deteriorating the compaction quality. 4. Lack of condition monitoring and fault early warning increases safety risks. Because dynamic parameters during the compaction process (such as changes in air damping spring pressure and differences in vibration amplitude at various points on the platform) are not collected and analyzed in real time, operators cannot detect abnormal conditions caused by load deviations in a timely manner: when the object to be vibrated is severely offset, causing the platform to be cantilevered on one side, there may be a risk of the platform overturning; when the air damping spring is damaged due to force imbalance, the vibration impact of the compaction platform may be transmitted to surrounding equipment, causing a chain of failures, or even causing personnel safety accidents; in the case of lost foam casting, if the displacement of the dry sand box or the mold is not detected in time, continued compaction may lead to dry sand leakage, which not only wastes materials, but may also cause secondary failures such as equipment jamming. In summary, existing vibration compaction platforms lack the ability to adaptively adjust for placement deviations of the object to be vibrated. In scenarios such as building materials, precision manufacturing, and especially lost foam casting, they all face problems such as poor compaction quality, short equipment life, and high safety risks. They can no longer meet the requirements of modern industrial production for high-precision, high-stability, and high-safety vibration compaction processes. There is an urgent need to develop a vibration compaction device that can adaptively adjust the vibration frequency and air damping spring pressure according to the actual placement state and load distribution of the object to be vibrated. Summary of the Invention

[0003] Therefore, the purpose of this invention is to provide a vibration frequency adaptive adjustment vibration compaction device, which effectively solves the problems of existing vibration compaction platforms lacking adaptive control means for the placement deviation of the object to be vibrated. When the actual center of gravity of the object to be vibrated does not coincide with the theoretical center of gravity and the load distribution is uneven, the vibration compaction platform is biased, and the vibration compaction platform still relies on the initial preset parameters to operate, resulting in poor vibration quality, equipment overload, vibration damping imbalance and increased safety risks.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows: a vibration frequency adaptive adjustment vibration compaction device, comprising a compaction platform, a vibration motor, a damping component, a data acquisition module, a data processing module, and a control system; the bottom of the compaction platform is divided into multiple partitions, each partition being equipped with a corresponding vibration motor; the damping component is disposed at the boundary of the partitions, connected to and supporting the compaction platform; the data acquisition module is used to acquire the pressure value of the damping component and the vibration frequency of the vibration motor; the data processing module is used to receive the pressure value and vibration frequency, and generate a control strategy based on the vibration frequency and pressure; the control system, based on the control strategy, adjusts the vibration frequency of the vibration motor and the pressure of the damping component.

[0005] Furthermore, the shock absorption component is an air shock absorption spring, which is connected to an air pump via a valve group. The valve group is used to control the inflation or deflation of the air shock absorption spring.

[0006] Furthermore, the data acquisition module includes a pressure sensor and a vibration data acquisition device. The pressure sensor is connected to the air damping spring and is used to acquire the pressure value of the air damping spring. The vibration data acquisition device is connected to the vibration motor and is used to acquire the vibration frequency of the vibration motor.

[0007] Furthermore, the partition is set to four, and each partition is equipped with an independent mounting base at the bottom. The vibration motor is mounted on the mounting base, and the vibration motors are arranged in pairs facing each other. The air damping springs are set at the four corners of the vibration platform and connected to the base. An air pump is set in the middle of the base, and the air pump is connected to the air damping springs through a valve group and a pressure sensor.

[0008] Furthermore, the pressure values ​​include initial static pressure values ​​and verification static pressure values; the initial static pressure values ​​are the initial static pressure of the air damping spring collected under unloaded conditions; the verification static pressure values ​​are the static pressure of the air damping spring collected under loaded conditions.

[0009] Furthermore, the data processing module, based on the initial static pressure value and the verification static pressure value of each air damping spring, and taking the vibration frequency of each vibration motor and the pressure adjustment of each air damping spring as the quantification target, integrates them to form a quantification model.

[0010] Furthermore, the data processing module executes the control strategy generation logic according to the following steps: S1. Receive the initial static pressure value of each air damping spring, compare it with the preset standard initial pressure value, generate a pressure calibration command and send it to the control system to adjust the pressure of each air damping spring to the standard state; S2. Receive the static value of the calibration pressure of each air damping spring, calculate the pressure change of each air damping spring, and obtain the average value of the change. Based on the pressure change and the average value of the change, obtain the deviation of the change, and use the ratio of the deviation of the change to the average value of the change as the bias coefficient. S3. Obtain the frequency coordination coefficient based on the load information, obtain the correlation bias coefficient of the corresponding partition by averaging the bias coefficients on both sides, fuse the difference between the correlation bias coefficient and the average bias coefficient with the frequency coordination coefficient to obtain the frequency adjustment factor, and obtain the target vibration frequency by correcting the standard vibration frequency through the frequency adjustment factor. S4. Obtain the pressure coordination coefficient based on the load information, obtain the associated vibration frequency of the corresponding air damping spring by averaging the target vibration frequencies on both sides, fuse the difference between the associated vibration frequency and the average target vibration frequency with the pressure coordination coefficient to obtain the pressure adjustment factor, and obtain the target pressure by correcting the target pressure through the pressure adjustment factor. S5. Combine the target vibration frequency and target pressure into a control vector; S6. The control system receives the control vector and executes the corresponding control logic.

[0011] Furthermore, the pressure values ​​include dynamic values ​​of vibration pressure, which are the dynamic pressures of the air damping springs collected under vibration conditions. An operational score is generated based on the dynamic pressure, and a corresponding fault warning is generated through the operational score.

[0012] Furthermore, a laser rangefinder corresponding to the air damping spring is installed at the bottom of the vibration compaction platform to obtain the relative distance between various points on the vibration compaction platform. An operation score is generated based on dynamic pressure and relative distance, and corresponding fault warnings are generated through the operation score.

[0013] Furthermore, based on the dynamic numerical calculation of the vibration pressure, the maximum vibration amplitude of each air damping spring is calculated. The maximum amplitude and relative distance are used as quantitative indicators to calculate the operation score of each zone. Based on the operation score, the vibration frequency adjustment parameters and pressure adjustment parameters of each zone are optimized.

[0014] The beneficial effects of the above technical solution are as follows: It specifically addresses the core pain point of existing vibration compaction platforms, which have fixed preset parameters and cannot adapt to actual load deviations. This invention uses air damping springs as the load sensing carrier. By collecting pressure data throughout the entire cycle of vibration compaction (unloaded, loaded, and under load), it transforms abstract load issues such as placement deviations and center of gravity shifts of the object to be vibrated into calculable pressure change-related indicators, achieving objective quantification of load distribution and avoiding the subjectivity of manual judgment. Based on the partitioning of the vibration compaction platform and the special layout of the air springs and vibration motors, a quantitative model is constructed to correlate vibration frequency with spring pressure. In areas with a heavier load, the vibration frequency is increased to match a larger excitation force, and air pressure is simultaneously increased to strengthen support; in areas with a lighter load, the opposite adjustment is made to avoid over-vibration and support imbalance, ensuring that the excitation force matches the load and the support force matches the frequency. From load identification, parameter calculation, command execution to status feedback and parameter correction, this invention requires no manual intervention throughout the entire process. It also incorporates mechanisms such as environmental temperature compensation and operational scoring and early warning, balancing adjustment accuracy, environmental adaptability, and operational safety, and adapting to the vibration compaction needs of multiple materials and operating conditions.

[0015] In practical implementation, this invention achieves adaptive adjustment of vibration frequency and pressure through a control process encompassing structural layout, data acquisition, model processing, control execution, and state monitoring. Each step is deeply integrated with structural design and quantitative modeling, as detailed below: (I) Structural layout: laying the hardware foundation for coordinated regulation Zoning and Motor Design: The bottom of the vibration platform adopts a grid-shaped zoning layout. Each zoning is equipped with an independent mounting base and a vibration motor. The motors are set with excitation directions in opposite directions to form a multi-dimensional excitation foundation, ensuring that the excitation force is superimposed at the center of the platform when there is no load deviation, and the material is subjected to uniform force.

[0016] Vibration damping and air circuit design: The air damping springs at the corners have both load sensing and support damping functions. The independent air circuit design enables precise control of the inflation and deflation of a single spring. A silent air pump is built into the middle of the base. Control valve groups and pressure sensors are connected in series on the air circuit branches to collect spring pressure data in real time, providing hardware support for load quantification.

[0017] Monitoring sensor configuration: In addition to pressure sensors and vibration data acquisition devices, laser rangefinders and ambient temperature sensors are added to build a multi-dimensional data acquisition system, which can obtain the relative distances of various points on the platform and the operating environment temperature to ensure the comprehensiveness of adjustment and monitoring.

[0018] (ii) Data Acquisition: Capturing core data on load and operating status The data acquisition module simultaneously acquires three types of key data to provide a basis for subsequent processing: Pressure data includes the initial static pressure value when unloaded, the static value of the calibration pressure when loaded, and the dynamic value of the compaction pressure during the compaction process, which are used for calibration benchmark, calculation of load deviation, and monitoring of operating status, respectively. Vibration data: The current vibration frequency of the vibratory motor, providing initial parameters for frequency adjustment; Auxiliary data: The relative distances between various points on the platform collected by the laser rangefinder and the operating temperature collected by the ambient temperature sensor are used to quantify the platform's levelness and to achieve temperature compensation, respectively.

[0019] (III) Model Processing: Generating Control Strategies Based on Quantization Logic The data processing module performs calculations according to a fixed process, and its core function is to generate control instructions through multiple steps: Initial pressure calibration: Adjust all air spring pressures to a uniform standard state to eliminate initial deviations caused by manufacturing errors and ensure a consistent load judgment benchmark; Load deviation quantification: Calculate pressure change related indicators and overall average level, and obtain the bias coefficient through the correlation between deviation and average value to accurately identify the load bias area; Target frequency calculation: Based on the load information, the frequency coordination coefficient is obtained. Combined with the correlation bias coefficient on both sides of the partition and the overall average bias coefficient, the target frequency is generated. The frequency is increased in the biased area and decreased in the biased area. At the same time, the adjustment range is limited to avoid excessive deviation. Target pressure calculation: Based on the load information, the pressure coordination coefficient is obtained. Combined with the associated vibration frequencies on both sides of the spring and the overall average vibration frequency, the target pressure is generated, and the frequency changes are matched to maintain the platform balance. Control vector fusion: The target frequency of each partition and the corresponding target pressure of the spring are integrated into a unified control vector in numerical order to ensure that the frequency and pressure correspond one-to-one and adapt to the requirements of parallel execution. (iv) Control Execution: Precisely respond to control instructions The control system adopts a core controller and distributed execution unit architecture, and enables rapid command issuance through a bus. Command parsing: The control vector is split into multiple sets of frequency pressure sub-commands, and the parameters are checked to see if they are within the rated range of the equipment. If they exceed the limit, they are automatically corrected to the safe boundary value. Actions performed: The frequency converter receives frequency commands to adjust the motor speed, and the solenoid valve controller receives pressure commands to control the spring to inflate or deflate, ensuring that the frequency and pressure are adjusted synchronously. Priority strategy: Motor overload protection takes precedence over spring pressure adjustment. When spring pressure changes abruptly, pressure stabilization is prioritized to avoid conflicts in multi-parameter adjustments.

[0020] (v) Status monitoring: Early warning to ensure operational safety An operational score is generated based on dynamic pressure and laser ranging data to quantify the platform's levelness and spring operation status. By combining dynamic pressure calculations with relevant indicators of spring vibration amplitude, extreme value differences are extracted. The relative distances between various points on the platform are integrated, and a comprehensive operational score is generated through multi-dimensional deviations and anomaly penalties. Tiered early warning: Based on the score, the system is divided into normal, mild, moderate and severe warning levels, which correspond to the handling methods such as maintaining parameters, fine-tuning parameters, adjusting material positions and emergency shutdown for maintenance, so as to achieve proactive prevention of failures.

[0021] In summary, this invention solves the problems of under-vibration and over-vibration caused by excessive load by quantifying load deviation, significantly improving the uniformity of material density. For different types of materials, it can be quickly adapted by preset relevant standard parameters and coordination coefficients, covering the vibration compaction needs of multiple fields such as building materials, precision manufacturing, and lost foam casting. It systematically solves the core pain points of existing vibration compaction platforms, and optimizes vibration compaction quality, equipment life, working environment, and operational safety, providing an adaptive, highly reliable, and low-cost solution for modern industrial vibration compaction processes. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the structure of an embodiment of the present invention; Figure 2 This is a schematic diagram of the control logic of the present invention; Figure 3 This is a logic block diagram for the detection-focused aspect of this invention; Figure 4 A logic block diagram for the target vibration frequency; Figure 5 A logic diagram for the target pressure; Figure 6 A logic diagram for running the scoring; Figure 7 This is a schematic diagram of the implementation structure of the device; Figure 8 This is a schematic diagram of the implementation structure for partitioning.

[0023] Reference numerals: 1-Vibration platform, 2-Air damping spring, 3-Mounting base, 4-Vibration motor, 5-Base, 6-Air pump, 7-Pressure sensor, 8-Valve assembly, 9-Laser rangefinder sensor, 10-Zone. Detailed Implementation

[0024] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Example 1: This example aims to provide a vibration frequency adaptive adjustment vibration compaction device, mainly used for vibration motor driven vibration compaction platform 1. Addressing the core problem of existing single-cavity air damping spring 2 vibration compaction platforms 1 relying solely on initial preset parameters and unable to respond to load imbalances, this example uses the air damping spring 2 as the pressure adjustment carrier. Through a closed-loop logic of data acquisition, processing, and control, it achieves coordinated adaptive adjustment of vibration frequency and single-cavity spring pressure. This primarily solves problems such as poor compaction quality and equipment overload caused by uneven load distribution, providing a basic solution for standardized compaction scenarios (such as mass production of precast components).

[0025] Specifically, such as Figures 1-8 As shown, a vibration frequency adaptive adjustment vibration compaction device includes a compaction platform 1, a vibration motor 4, an air damping spring 2, a data acquisition module, a data processing module, and a control system. The core concept of this embodiment is to characterize the load imbalance by measuring the pressure change and to correlate the frequency and pressure adjustment by using a quantitative model: by collecting the static pressure of the single-cavity air damping spring 2 under unloaded and loaded conditions, the pressure change and deviation are calculated to determine the degree of load imbalance in each zone; then, based on the imbalance coefficient and load information, a quantitative model is constructed to simultaneously generate vibration frequency adjustment parameters and single-cavity spring pressure adjustment parameters; finally, the control system executes the adjustment to ensure that the load imbalance area receives a matching excitation force and support pressure.

[0026] like Figure 8 As shown, the bottom of the vibration platform 1 is divided into multiple sections, each of which is equipped with a corresponding vibration motor 4. Air damping springs 2 are set at the junction of the sections 10 and connected to the air pump 6 via a valve group. In specific implementation, this embodiment has four sections 10, each of which is equipped with a vibration motor 4. The vibration motors 4 are arranged in pairs facing each other. Specifically, the left and right groups of vibration motors are placed horizontally, and the front and back groups are arranged vertically. Air damping springs 2 are set at the four corners of the vibration platform 1 and connected to the base 5. The base 5 is equipped with an air pump 6 in the middle, and the air pump 6 is connected to the air damping springs 2 via a valve group 8 and a pressure sensor 7.

[0027] likeFigure 7 As shown, each partition 10 has an independent mounting base 3 at its bottom, and the vibration motor 4 is mounted on the mounting base 3. The mounting base 3 can further enhance the partitioning effect. Specifically, the bottom of the vibration platform is divided into four independent partitions 10 by welded angle steel. The four partitions 10 are evenly distributed in a grid pattern, that is, the upper left corner is partition 10-1, the upper right corner is partition 10-2, the lower left corner is partition 10-3, and the lower right corner is partition 10-4. The core advantage of this four-partition 10 layout is that it can determine which partition 10 is unbalanced when the object to be vibrated is placed, and adjust the unbalanced area accordingly, based on the air damping spring 2.

[0028] The core load-bearing structure consists of a four-zone 10 vibratory platform 1 and four corner air damping springs 2. The vibratory motors 4 are installed in pairs facing each other: the vibration motors 4 in zones 10-1 and 10-4 are excited in the front-to-back direction (along the platform length), while the vibration motors 4 in zones 10-2 and 10-3 are excited in the left-to-right direction (along the platform width). This installation structure allows the excitation force to be superimposed at the center of the platform, ensuring uniform vibration force to all parts of the target area when there is no load imbalance, and avoiding material accumulation caused by vibration in one direction.

[0029] Structurally, an installation slot is reserved in the middle of the base 5, and an air pump 6 is built in. The air outlet of the air pump 6 is divided into four branches through a branch pipe. Each branch corresponds to one air damping spring 2, and a valve group (used to control the opening and closing of the air path, air intake and exhaust, details not described) and a pressure sensor 7 are connected in series on the branch to collect the spring pressure in real time and realize the independent inflation or deflation control of a single air damping spring 2.

[0030] The data acquisition module includes a pressure sensor 7 and a vibration data acquisition unit. The pressure sensor 7 is connected to the air damping spring 2 and is used to acquire the pressure value of the air damping spring 2. The vibration data acquisition unit is connected to the vibration motor 4 and is used to acquire the vibration frequency of the vibration motor 4. The pressure value includes an initial static pressure value and a verification static pressure value. The initial static pressure value is the initial static pressure of the air damping spring 2 acquired under no-load conditions. The verification static pressure value is the static pressure of the air damping spring 2 acquired under loaded conditions.

[0031] like Figure 2As shown, the data processing module receives pressure values ​​and vibration frequencies, and generates a control strategy based on the vibration frequency and pressure. The control system is connected to the vibration motor 4 and the valve group, and is used to regulate the vibration frequency of the vibration motor 4 and the inflation or deflation of the valve group based on the generated control strategy. An embedded motherboard is used as the data processing module, which is connected to the pressure sensor 7 and the frequency acquisition unit via a bus to receive pressure values ​​and vibration frequencies in real time. At the same time, the motherboard is connected to the control system (which includes 4 motor frequency converters and 4 solenoid valve controllers) via a bus. After generating the control strategy, it directly outputs commands to the frequency converters and solenoid valves (to control the inflation or deflation of the springs).

[0032] The data processing module uses the initial static pressure value and the verification static pressure value of each air damping spring 2 as the quantification target, and integrates them to form a quantitative model.

[0033] In specific implementation, such as Figure 2 As shown, the data processing module executes the control strategy generation logic according to the following steps: S1. Receive the initial static pressure value of each air damping spring 2, compare it with the preset standard initial pressure value, generate a pressure calibration command and send it to the control system to adjust the pressure of each air damping spring 2 to the standard state; the specific control formula is as follows:

[0034] in The initial pressure calibration command for the i-th air damping spring 2: a positive value indicates that it needs to be inflated, and a negative value indicates that it needs to be deflated. The preset standard initial pressure value is determined based on the selection of air damping spring 2 and the target load; The initial static pressure value of the i-th air damping spring 2.

[0035] This embodiment eliminates the initial pressure deviation caused by manufacturing errors of different springs through initial pressure calibration, ensuring that all springs are in the same reference state when there is no load, and avoiding the initial deviation from affecting the subsequent load bias judgment.

[0036] S2. For example Figure 3 As shown, the static value of the calibration pressure of each air damping spring 2 is received, the pressure change of each air damping spring 2 is calculated, and the average value of the change is obtained. The deviation of the change is obtained based on the pressure change and the average value, and the ratio of the deviation to the average value is used as the bias coefficient. In specific implementation, the air pressure of the air damping spring 2 is positively correlated with its resistance capacity (i.e., stiffness); the higher the pressure, the stronger the stiffness and load-bearing capacity of the spring. The specific calculation formula is as follows:

[0037]

[0038] In the formula, Let be the static value of the calibration pressure for the i-th air damping spring 2. There are 2 air damping springs. It is the average value of the change; This is the bias coefficient.

[0039] S3. For example Figure 4 As shown, the frequency coordination coefficient is obtained based on the load information, the correlation bias coefficient of the corresponding partition 10 is obtained by averaging the bias coefficients on both sides, the difference between the correlation bias coefficient and the average bias coefficient is used as the frequency correlation factor, the frequency correlation factor and the frequency coordination coefficient are fused to obtain the frequency adjustment factor, and the standard vibration frequency is corrected by the frequency adjustment factor to obtain the target vibration frequency. This embodiment uses average values ​​to smooth out individual differences in stiffness and pressure response, ensuring the objectivity of the subsequent determination of the weight distribution coefficient. Weight distribution coefficient The focus is on eliminating the influence of stiffness differences and addressing uneven load distribution. If the initial stiffness of the springs is uniform, then... The difference is entirely due to load differences. Directly reflects the degree of load deviation, and during implementation, based on The size is quantified. If all values ​​are within a certain range, no action is taken. If the value is within the preset range, adjustment is performed. If the value is exceeded, an alarm is triggered, and the operator is reminded to readjust the target material position.

[0040] The vibration frequency adjustment parameters are obtained based on load information, eccentricity coefficient, and current vibration frequency. In this embodiment, the partitions 10 are symmetrical in pairs, and the air damping springs 2 are located between two adjacent partitions 10. The vibration transmission path and load influence on the target partition 10 are theoretically identical. When adjusting the vibration frequency of partition 10, the vibration frequency adjustment parameters are jointly determined based on the combined action of the air damping springs 2 on both sides and the type of target to be vibrated. The specific formula is as follows:

[0041]

[0042]

[0043] In the formula, and Let be the association bias coefficient of the i-th partition 10. This represents the average value of the bias coefficient. Based on the standard vibration frequency of the target material, Based on the frequency synergy coefficient of target material association; Let be the target vibration frequency of the vibration motor 4 in the i-th partition 10.

[0044] During implementation, due to the increased load on the heavier side, the vibration frequency of that side needs to be increased. For the lighter side, its frequency is appropriately adjusted to create a difference in vibration frequencies between the heavier and lighter sides. Simultaneously, in quantifying this difference, it is necessary to ensure that the deviation ranges of the four vibration motors 4 are within a certain interval. Based on this, [further details are needed]. The value is quantified and adjusted within a certain range. The maximum value cannot exceed the set value to avoid excessive deviation.

[0045] S4. For example Figure 5 As shown, the pressure coordination coefficient is obtained based on load information. The associated vibration frequency of the corresponding air damping spring 2 is obtained by averaging the target vibration frequencies on both sides. The ratio of the difference between the associated vibration frequency and the average target vibration frequency to the target standard frequency is used as the frequency correlation factor. The frequency correlation factor is fused with the pressure coordination coefficient to obtain the pressure adjustment factor. The target pressure is obtained by correcting the target pressure through the pressure adjustment factor. In this embodiment, based on the vibration frequency of the vibration motor 4 after adjustment, in order to avoid inconsistent vibration amplitude of the vibration platform during vibration, and to ensure the smooth up and down vibration of the vibration platform, while meeting the three-dimensional vibration requirements of the vibration platform, the fluctuation range of the vibration platform is ensured. The vibration frequencies of two adjacent vibration motors 4 work together to act on the adjacent air damping spring 2. The specific calculation formulas for the adjustment parameters of each air damping spring 2 are as follows:

[0046]

[0047]

[0048] In the formula, and The adjusted number of The vibration frequency of the 4 vibration motors The average vibration frequency of the vibration motor 4 is... For the first The target pressure of the air damping spring 2 and Standard air pressure value and pressure coordination coefficient based on load information The same. As a correlation factor, its value range is within a certain range to avoid excessive deviation between multiple sets of air damping springs 2.

[0049] S5. The target vibration frequency and target pressure are fused into a control vector. Based on the results generated above, this embodiment fills the target vibration frequency and target pressure into a one-dimensional control vector according to their numerical order. The target frequency and target pressure are integrated into a one-dimensional vector according to the partition 10 and spring number order, realizing one-to-one correspondence control of frequency and pressure. This ensures that the frequency adjustment of each vibration motor 4 and the pressure adjustment of the corresponding air spring are executed synchronously, avoiding the mismatch between excitation force and stiffness caused by frequency change but pressure unchanged. Furthermore, the control system can send multiple sets of instructions in parallel via the CAN bus to meet the real-time requirements of industrial scenarios.

[0050] S6. The control system receives the control vector and executes the corresponding control logic.

[0051] In this embodiment, the control system adopts an embedded motherboard and distributed execution unit architecture to realize the parsing, execution, and feedback of control vectors; the vectors are divided into four groups of sub-instructions according to frequency-pressure pairs, such as the first group, The corresponding partition 10 and the upper left corner spring; check whether the frequency command is within the rated range of the motor and whether the pressure command is within the working range of the spring. If they exceed the limits, automatically correct to the boundary value. Send the partition 10 frequency command to the corresponding strain gauge via the CAN bus and send the spring pressure command to the corresponding solenoid valve controller.

[0052] This embodiment addresses the core problem of existing single-cavity air damping spring 2 vibration compaction platforms 1, which rely on initial preset parameters and cannot respond to load imbalances. It proposes a technical solution using the air damping spring 2 as the pressure adjustment carrier, and through data acquisition, processing, and control logic, achieves coordinated adaptive adjustment of vibration frequency and single-cavity spring pressure. The core concept is to quantify the degree of load imbalance by measuring pressure changes, correlate vibration frequency and air spring pressure adjustment through a quantification model, accurately identify load distribution using an imbalance coefficient, and differentiate frequency and pressure adjustments. This improves the uniformity of material density, avoids quality defects caused by under-vibration on the heavier side and over-vibration on the lighter side, and ultimately ensures that the heavier load area receives matched excitation force and support pressure, providing a solution for standardized vibration compaction scenarios such as mass production of precast components. Example

[0053] This implementation example Figure 6 As shown, the core of the three-dimensional vibration platform is to use composite excitation in the front-back, left-right, and up-down directions to enable material particles to break through frictional constraints under the action of multi-directional forces, thereby eliminating gaps and achieving uniform compaction. Among them, the vertical vibration amplitude directly determines the material density (insufficient amplitude leads to under-vibration, while excessive amplitude leads to over-vibration and segregation). Based on this, this embodiment adds vertical monitoring to measure the quality of the vibration compaction effect.

[0054] The pressure values ​​also include dynamic values ​​of vibration pressure. Specifically, the dynamic values ​​of vibration pressure are the dynamic pressures of the air damping springs 2 collected under vibration conditions. The operating status of the air damping springs 2 is monitored based on the dynamic pressure. Based on Example 1, the floating degree and frequency of the four air damping springs 2 are monitored to quantify the operating status. An operating score is generated based on the dynamic pressure, and a corresponding fault warning is generated through the operating score. In specific implementation, the vibration amplitude of each air damping spring 2 is calculated based on the dynamic values ​​of vibration pressure. The difference between the maximum and minimum amplitudes is used as the index for the operating score. The vibration frequency adjustment parameters and pressure adjustment parameters of each zone 10 are optimized based on the operating score.

[0055] Specifically, the spring vibration amplitude is extracted from the dynamic pressure. The peak difference of the dynamic pressure directly reflects the deformation (amplitude) during the spring vibration process, as shown in the following formula:

[0056] in No. The amplitude of the spring's vibration, with a positive value representing the maximum vertical oscillation. For the first oscillation state Peak and valley values ​​of dynamic pressure of a spring; Pressure and amplitude conversion coefficients: When a spring vibrates, compression (increased pressure) corresponds to downward movement, and extension (decreased pressure) corresponds to upward movement. The greater the peak difference, the greater the amplitude of the vertical fluctuation.

[0057] With vibration amplitude To quantify the standard, the maximum and minimum vibration amplitudes of the four vibration springs are extracted. The specific quantification method for the performance score S is as follows:

[0058] in This indicates that the i-th air damping spring 2 has the largest vibration amplitude. Represented as the first The vibration amplitude of air damping spring 2 is the smallest. is a coefficient.

[0059] Traditional methods require manual observation of the platform's vibration status, which can easily overlook slight polarization. This solution uses quantitative indicators to trigger early warnings before polarization affects material quality, reducing rework rates and improving quality monitoring during the compaction process.

[0060] To quantify the scoring, in this embodiment, a laser rangefinder corresponding to the air damping spring 2 is configured at the bottom of the vibration platform to obtain the relative distance between each point on the vibration platform. An operational score is generated based on the dynamic pressure and relative distance, and a corresponding fault warning is generated based on the operational score.

[0061] Specifically, the real-time distance is further detected by a laser rangefinder, and the actual vibration amplitude of the vibration platform is quantified by the actual distance. The difference between the maximum and minimum distances is used to form an auxiliary judgment adjustment, and the two are used to quantify the score by weighted averaging.

[0062] This embodiment accurately judges the platform's operating status by using spring operating parameters to avoid polarization; it converts the degree of floating and frequency into quantitative indicators to replace traditional manual visual inspection, achieving objective evaluation. Before problems such as polarization and spring failure affect material quality, it triggers early warning through quantitative scoring.

Claims

1. A vibration frequency adaptive adjustment vibration compaction device, characterized in that: The system includes a vibration compaction platform, a vibration motor, a vibration damping component, a data acquisition module, a data processing module, and a control system. The bottom of the vibration compaction platform is divided into multiple sections, each equipped with a corresponding vibration motor. The vibration damping component is located at the boundary of the sections, connected to and supporting the vibration compaction platform. The data acquisition module is used to acquire the pressure values ​​of the vibration damping component and the vibration frequency of the vibration motor. The data processing module receives the pressure values ​​and vibration frequency, and generates a control strategy based on the vibration frequency and pressure. The control system adjusts the vibration frequency of the vibration motor and the pressure of the vibration damping component based on the control strategy.

2. The vibration frequency adaptive adjustment vibration compaction device according to claim 1, characterized in that: The shock absorption component is an air shock absorption spring, which is connected to an air pump via a valve group. The valve group is used to control the inflation or deflation of the air shock absorption spring.

3. The vibration frequency adaptive adjustment vibration compaction device according to claim 2, characterized in that: The data acquisition module includes a pressure sensor and a vibration data acquisition device. The pressure sensor is connected to the air damping spring and is used to acquire the pressure value of the air damping spring. The vibration data acquisition device is connected to the vibration motor and is used to acquire the vibration frequency of the vibration motor.

4. The vibration frequency adaptive adjustment vibration compaction device according to claim 2, characterized in that: The partition is set to four, and each partition is equipped with an independent mounting base at the bottom. The vibration motor is mounted on the mounting base and the vibration motors are arranged in pairs facing each other. The air damping springs are set at the four corners of the vibration platform and connected to the base. An air pump is set in the middle of the base, and the air pump is connected to the air damping springs through a valve group and a pressure sensor.

5. The vibration frequency adaptive adjustment vibration compaction device according to claim 2, characterized in that: The pressure values ​​include initial static pressure values ​​and verification static pressure values; the initial static pressure values ​​are the initial static pressure of the air damping spring collected under unloaded conditions. The static value of the verification pressure is the static pressure of the air damping spring collected under load.

6. The vibration frequency adaptive adjustment vibration compaction device according to claim 5, characterized in that: The data processing module integrates the initial static pressure value and the verification static pressure value of each air damping spring, with the vibration frequency of each vibration motor and the pressure adjustment of each air damping spring as the quantification targets, to form a quantitative model.

7. The vibration frequency adaptive adjustment vibration compaction device according to claim 6, characterized in that: The data processing module executes the control strategy generation logic according to the following steps: S1. Receive the initial static pressure value of each air damping spring, compare it with the preset standard initial pressure value, generate a pressure calibration command and send it to the control system to adjust the pressure of each air damping spring to the standard state; S2. Receive the static value of the calibration pressure of each air damping spring, calculate the pressure change of each air damping spring, and obtain the average value of the change. Based on the pressure change and the average value of the change, obtain the deviation of the change, and use the ratio of the deviation of the change to the average value of the change as the bias coefficient. S3. Obtain the frequency coordination coefficient based on the load information, obtain the correlation bias coefficient of the corresponding partition by averaging the bias coefficients on both sides, fuse the difference between the correlation bias coefficient and the average bias coefficient with the frequency coordination coefficient to obtain the frequency adjustment factor, and obtain the target vibration frequency by correcting the standard vibration frequency through the frequency adjustment factor. S4. Obtain the pressure coordination coefficient based on the load information, obtain the associated vibration frequency of the corresponding air damping spring by averaging the target vibration frequencies on both sides, fuse the difference between the associated vibration frequency and the average target vibration frequency with the pressure coordination coefficient to obtain the pressure adjustment factor, and obtain the target pressure by correcting the target pressure through the pressure adjustment factor. S5. Combine the target vibration frequency and target pressure into a control vector; S6. The control system receives the control vector and executes the corresponding control logic.

8. The vibration frequency adaptive adjustment vibration compaction device according to any one of claims 1-7, characterized in that: The pressure values ​​include dynamic values ​​of vibration pressure, which are the dynamic pressures of the air damping springs collected under vibration conditions. An operational score is generated based on the dynamic pressure, and a corresponding fault warning is generated based on the operational score.

9. The vibration frequency adaptive adjustment vibration compaction device according to claim 8, characterized in that: A laser rangefinder corresponding to the air damping spring is installed at the bottom of the vibration compaction platform to obtain the relative distance between various points on the platform. An operation score is generated based on dynamic pressure and relative distance, and a corresponding fault warning is generated based on the operation score.

10. The vibration frequency adaptive adjustment vibration compaction device according to claim 9, characterized in that: The maximum vibration amplitude of each air damping spring is calculated based on the dynamic numerical calculation of the vibration pressure. The operating score of each zone is calculated using the maximum amplitude and relative distance as quantitative indicators. Based on the operating score, the vibration frequency adjustment parameters and pressure adjustment parameters of each zone are optimized.

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