Variable resonant frequency hydraulic vibration control system and method based on DSP

Abstract

The invention discloses a variable resonant frequency hydraulic vibration control system and method based on a DSP, and relates to the technical field of hydraulic vibration control, and the method specifically comprises the following steps: analyzing the obtained geological dynamic information of each region, evaluating the adaptation degree of the geological material of each region and the vibration frequency of the current vibration equipment, and determining the vibration frequency of the current vibration equipment; dividing each region into a high-adaptation region, a middle-adaptation region and a low-adaptation region according to an evaluation result; constructing an adjustment mechanism for dynamically adjusting the vibration frequencies of different areas; in the application process of the adjustment mechanism, vibration feedback information of all the areas is obtained in real time, analysis is carried out after obtaining, whether the adjustment effect of the adjustment mechanism in all the areas meets the expectation or not is evaluated, and the adjustment mechanism is adjusted according to the evaluation result. The problem that vibration frequency adjustment lags behind under the complex geological condition is solved, and the technical effect that the vibration frequency is adjusted in real time to ensure the tamping uniformity of the foundation is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of hydraulic vibration control, and in particular to a DSP-based variable resonance frequency hydraulic vibration control system and method. Background Art

[0002] Hydraulic vibration refers to the mechanical vibration caused by pressure fluctuations, flow changes or external excitations during the operation of the hydraulic system. This vibration may affect the stability and working efficiency of the system. Variable resonant frequency hydraulic vibration refers to the phenomenon that the resonant frequency of the hydraulic system changes dynamically with the change of external load or working conditions. The resonant frequency is the vibration frequency at which the hydraulic system responds most strongly at a specific frequency. If the variable resonant frequency is not effectively controlled, the system may operate at an unmatched resonant frequency, causing excessive vibration, system instability or increased energy consumption. Therefore, the purpose of controlling the variable resonant frequency hydraulic vibration is to adjust the working parameters of the hydraulic system so that its resonant frequency matches the external excitation frequency, thereby achieving the best vibration control effect. The special feature of the DSP-based variable resonant frequency hydraulic vibration control is that the DSP can collect, quickly process and accurately analyze the vibration signals of the hydraulic system in real time, and dynamically adjust the resonant frequency through advanced control algorithms to ensure that the system always operates in the optimal state. This high-precision, fast-response control method significantly improves the efficiency and stability of hydraulic vibration control.

[0003] The existing DSP-based variable resonant frequency hydraulic vibration control technology is controlled through the following specific steps: First, the system collects the vibration signals of the hydraulic system in real time through sensors, including pressure, displacement and other data, and transmits these signals to the DSP for processing; then, the DSP uses spectrum analysis algorithms (such as fast Fourier transform, FFT) to identify the resonant frequency of the current hydraulic system and determine whether it matches the external excitation frequency; if it does not match, the DSP will dynamically adjust the parameters of the hydraulic system (such as the output of the hydraulic pump or the opening of the control valve) based on the detection results through the built-in control algorithm to change the resonant frequency of the system to make it consistent with the external excitation frequency; throughout the process, the system adopts a closed-loop control strategy, real-time feedback of vibration signals, and continuously optimizes the control parameters based on the feedback results to ensure that the vibration control achieves the best effect. The high-speed processing capability of the DSP enables it to respond quickly to vibration changes and achieve efficient and precise control.

[0004] The prior art has the following deficiencies: During the construction of high-rise building foundations, when hydraulic vibration equipment is used to compact complex foundations containing a variety of geological materials such as rocks, sand and silt, there will be a problem of vibration frequency adjustment lag. Due to the significant differences in the absorption and reflection characteristics of vibrations of different geological materials (such as rocks, sand, and silt), the DSP needs to process vibration feedback signals from a variety of materials when the equipment quickly switches working areas. However, due to the different feedback signals of these materials, it is difficult for the DSP in the prior art to respond to these changes in a timely manner, and it is impossible to adjust the vibration frequency in real time to adapt to rapidly changing geological conditions. This frequency adjustment lag will lead to inconsistent compaction effects in different areas of the foundation, insufficient density in some areas, and thus increase the risk of foundation settlement. In the long run, this may affect the overall structural stability of the building, resulting in increased maintenance and repair costs in the later stage, and even endangering the safety of the building.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The object of the present invention is to provide a DSP-based variable resonant frequency hydraulic vibration control system and method to solve the problems in the above-mentioned background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a variable resonant frequency hydraulic vibration control method based on DSP, specifically comprising the following steps: During the construction of high-rise building foundations, the foundation area to be compacted is evenly divided into several areas, and a sensor network is deployed in each area to obtain real-time geological dynamic information of each area; Analyze the geological dynamic information of each area, evaluate the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment, and divide each area into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results; According to the division results of the various areas in the area to be compacted, an adjustment mechanism for dynamically adjusting the vibration frequency of different areas is constructed, and after the construction, it is applied to the current vibration equipment; During the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time, and analyzed after acquisition to evaluate whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results; Based on the geological dynamic information and vibration feedback information collected over a long period of time, the adjustment mechanism is dynamically optimized and updated, and the vibration frequency of the vibration equipment is continuously adjusted to maintain the uniformity and stability of the foundation compaction.

[0008] Preferably, the acquired geological dynamic information of each region is analyzed to evaluate the adaptability of the geological materials in each region to the vibration frequency of the current vibration equipment, and each region is divided into a high adaptability region, a medium adaptability region and a low adaptability region according to the evaluation results, specifically including the following steps: Preprocess the geological dynamic information obtained in each area; Extracting geological material information and vibration response dynamic information from the pre-processed geological dynamic information of each region, and analyzing them after extraction to generate geological adaptation coefficients and vibration response indexes for each region respectively; An adaptability evaluation model is constructed for the generated geological adaptability coefficient and vibration response index of each area, and the adaptability coefficient of each area is generated respectively. The generated adaptability coefficient of each area is compared with the preset adaptation coefficient threshold range, and the adaptability of the geological material of each area to the vibration frequency of the current vibration equipment is evaluated according to the comparison results, and each area is divided into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results.

[0009] Preferably, the logic for obtaining the geological adaptability coefficient and vibration response index of each region is as follows: The geological material information is extracted from the preprocessed geological dynamic information of each region, including the average material density, average thickness of the geological layer and internal damping value of each region at different times within a period of time, and calibrated as , and , Indicates Regions within a period of time The average density of the material at time Indicates Regions within a period of time The average thickness of the geological layer at the time, Indicates Regions within a period of time The internal damping value at time , , , and All are positive integers; Calculate the geological adaptability coefficient of each area. The specific calculation formula is as follows: ; In the formula, For the The geological adaptability coefficient of each region; The vibration response dynamic information of the preprocessed geological dynamic information of each region is extracted, including the average internal vibration transmission velocity, elastic modulus of the material and strain rate of the geological material in each region at different times within a period of time, and calibrated as , and , Indicates Regions within a period of time The average transmission speed of internal vibration at the moment, Indicates Regions within a period of time The elastic modulus of the material at time , Indicates Regions within a period of time The strain rate of the geological material at a given moment; Calculate the vibration response index of each area. The specific calculation formula is as follows: ; In the formula, For the The vibration response index of a region.

[0010] Preferably, the geological adaptation coefficient for each region is generated and vibration response index Construct an adaptation degree evaluation model and generate the adaptation coefficient of each area through weighted summation , and the generated adaptation coefficients of each region The pre-set adaptation coefficient threshold interval Compare and evaluate the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment according to the comparison results, and divide each area into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results. The specific comparison analysis and division are as follows: like , if the adaptability of the geological materials in the area to the vibration frequency of the current vibration equipment is low, then the area is classified as a low adaptability area; like , if the adaptability of the geological materials in the area to the vibration frequency of the current vibration equipment is medium, then the area is divided into a medium adaptability area; like , if the geological materials in this area are highly adaptable to the vibration frequency of the current vibration equipment, then this area is classified as a high-adaptability area.

[0011] Preferably, according to the division results of each area in the area to be compacted, an adjustment mechanism for dynamically adjusting the vibration frequencies of different areas is constructed, specifically: according to the division results of the high-adaptability area, the medium-adaptability area and the low-adaptability area, different vibration frequency adjustment parameters are set respectively to form an adjustment mechanism; the adjustment mechanism is based on the adaptation coefficient of each area and the current vibration frequency state, and automatically determines the adjustment amplitude and method of the vibration frequency through pre-set rules; Different frequency adjustments are made to the high adaptation area, the medium adaptation area and the low adaptation area respectively, specifically including: in the high adaptation area, the standard vibration frequency parameters in the adjustment mechanism are used to keep the current vibration frequency unchanged; in the medium adaptation area, the medium vibration frequency parameters in the adjustment mechanism are used to adjust the vibration frequency; in the low adaptation area, the low frequency parameters in the adjustment mechanism are used to reduce the vibration frequency.

[0012] Preferably, during the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time, and analyzed after acquisition to evaluate whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results, which specifically includes the following steps: During the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time and pre-processed after acquisition; Extract the dynamic information of geological stress and strain and the dynamic information of density change from the pre-processed vibration feedback information of each area, and analyze them after extraction to generate the compaction effect coefficient and density change index of each area respectively; An adjustment effect evaluation model is constructed for the compaction effect coefficient and density change index generated for each area, and the adjustment coefficient of each area is generated. The generated adjustment coefficient of each area is compared with the pre-set adjustment coefficient thresholds of each area. According to the comparison results, it is evaluated whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results.

[0013] Preferably, the logic for obtaining the compaction effect coefficient and density variation index of each region is as follows: Extract the dynamic information of geological stress and strain from the vibration feedback information of each area after preprocessing, including the average vibration acceleration applied by the vibration equipment to each area at different times during a period of time during the application of the adjustment mechanism, the vibration frequency of the vibration equipment in each area, the stress and strain of the geological materials in each area under the vibration, and the corresponding time points, and use the function to calculate the dynamic information of geological stress and strain in each area according to the time series. , , and To express, is a time point, and the time period is defined as , Indicates that during the application of the adjustment mechanism, The vibration device is applied at the The average vibration acceleration of the area, Indicates that during the application of the adjustment mechanism, The vibration device is at The vibration frequency of the region, Indicates that during the application of the adjustment mechanism, Moment The stress of geological materials in a region under vibration, Indicates that during the application of the adjustment mechanism, Moment The strain of geological materials in a region under vibration, , is a positive integer; Calculate the compaction effect coefficient of each area. The specific calculation formula is as follows: ; In the formula, For the The compaction effect coefficient of each area; Extract the dynamic information of density change from the vibration feedback information of each area after preprocessing, including the average density, strain change rate and corresponding time points of geological materials in each area under vibration at different times during the application of the adjustment mechanism, and use functions according to the time series. and To express, For time point, Indicates that during the application of the adjustment mechanism, Moment The average density of geological materials in a region under vibration, Indicates that during the application of the adjustment mechanism, Moment The rate of change of strain of geological materials in a region under vibration; Calculate the density change index of each area. The specific calculation formula is as follows: ; In the formula, For the The density change index of a region.

[0014] Preferably, the compaction effect coefficient of each generated area is and density change index Construct an adjustment effect evaluation model and generate adjustment coefficients for each region through weighted summation , and the adjustment coefficients for each region generated The adjustment coefficient thresholds for each area are set in advance Compare and evaluate whether the adjustment effect of the adjustment mechanism in each region meets expectations based on the comparison results, and adjust the adjustment mechanism based on the evaluation results. The specific comparison and analysis is as follows: like , the adjustment effect of the adjustment mechanism in this area meets expectations, and there is no need to adjust the adjustment mechanism; like The adjustment effect of the adjustment mechanism in this area did not meet expectations, and the adjustment mechanism needed to be adjusted, including: analyzing whether the current vibration parameters match the characteristics of geological materials based on the feedback information from each area, and dynamically adjusting the vibration frequency and acceleration parameters, monitoring the adjustment effect in real time and deciding whether to make iterative adjustments.

[0015] Preferably, the DSP-based variable resonant frequency hydraulic vibration control system includes a geological information acquisition module, an adaptability evaluation module, a dynamic adjustment mechanism construction module, a feedback analysis and adjustment module, and a dynamic optimization update module; The geological information acquisition module evenly divides the foundation area to be compacted into several areas during the construction of high-rise building foundations, and deploys a sensor network in each area to obtain the geological dynamic information of each area in real time; The adaptability assessment module analyzes the acquired geological dynamic information of each area, assesses the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment, and divides each area into high adaptability area, medium adaptability area and low adaptability area according to the assessment results; A dynamic adjustment mechanism construction module, which constructs an adjustment mechanism for dynamically adjusting the vibration frequency of different areas according to the division results of the various areas in the foundation area to be compacted, and applies it to the current vibration equipment after construction; Feedback analysis and adjustment module, during the application of the adjustment mechanism, obtains the vibration feedback information of each area in real time, analyzes it after acquisition, evaluates whether the adjustment effect of the adjustment mechanism in each area meets expectations, and adjusts the adjustment mechanism according to the evaluation results; The dynamic optimization and update module dynamically optimizes and updates the adjustment mechanism based on the geological dynamic information and vibration feedback information collected over a long period of time, continuously adjusts the vibration frequency of the vibration equipment, and maintains the uniformity and stability of the foundation compaction.

[0016] In the above technical solution, the technical effects and advantages provided by the present invention are: 1. The present invention can effectively solve the problem of vibration frequency adjustment lag caused by different geological materials (such as rock, sand, silt) having different vibration frequency absorption and reflection characteristics during the construction of high-rise building foundations. By dynamically collecting geological information and real-time vibration feedback from various regions, the system can accurately analyze and process the feedback signals of different geological materials, thereby adjusting the vibration frequency in real time to ensure uniform compaction of the foundation. The system's responsiveness under complex geological conditions is enhanced, reducing the risk caused by frequency lag.

[0017] 2. By constructing an adaptability assessment model, the present invention can dynamically adjust according to the characteristics of different geological regions (such as geological adaptability coefficient and vibration response index), ensuring that the vibration equipment can flexibly adjust the vibration frequency according to real-time feedback. This automatic adjustment mechanism improves construction efficiency, ensures the consistency of foundation density in different regions, and reduces the need for manual intervention. Especially in an environment where material properties change rapidly, the system's flexible adjustment ability avoids the problem of later settlement caused by uneven material density.

[0018] 3. The present invention also constructs an adaptive optimization and update mechanism through the geological dynamic information and vibration feedback information collected over a long period of time, ensuring that the vibration equipment can maintain the best frequency adjustment state during the long-term construction process. This not only improves the working efficiency of the equipment, but also continuously optimizes the construction parameters, ensures the stability and reliability of the foundation construction, and effectively avoids the structural safety hazards caused by insufficient density. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0020] Figure 1 It is a flow chart of the variable resonance frequency hydraulic vibration control system and method based on DSP of the present invention.

[0021] Figure 2 It is a module schematic diagram of the variable resonance frequency hydraulic vibration control system and method based on DSP of the present invention. DETAILED DESCRIPTION

[0022] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0023] The present invention provides Figure 1 The variable resonant frequency hydraulic vibration control method based on DSP shown in the figure specifically includes the following steps: During the construction of high-rise building foundations, the foundation area to be compacted is evenly divided into several areas, and a sensor network is deployed in each area to obtain real-time geological dynamic information of each area; In order to evenly divide the foundation area to be compacted in the construction of high-rise building foundations, a coordinate grid-based division method can be used. Specifically, first, a two-dimensional or three-dimensional model of the foundation can be generated using digital construction planning software based on the overall area of ​​the construction area. Then, based on the model, the entire foundation area is divided into several areas according to the preset grid density through the software. The density of the grid can be dynamically adjusted according to the complexity of the geological conditions. For example, in areas with more complex or larger differences in geology, the grid can be encrypted, while in areas with relatively consistent geology, it can be sparsely divided. This division method ensures that each area has a relatively uniform size, and the vibration feedback signal of each area can be analyzed independently. Through the software division method, construction personnel can intuitively see the number and position of each grid area, which is conducive to the subsequent deployment of sensors and data collection.

[0024] The process of deploying sensor networks in each divided area can be achieved through the construction management software system combined with the sensor layout algorithm. First, according to the previously divided grid area, the software is used to calculate the sensor deployment position of each area to ensure that the sensor can cover the entire area and accurately collect data. The sensor network can use sensor nodes based on wireless communication, such as seismic sensors, accelerometers, and strain sensors. Each sensor node is reasonably distributed according to the size and geological complexity of the area. The software dynamically obtains the "geological dynamic information" of each area by reading the real-time data of the sensor, such as the vibration response characteristics of the soil, density changes, pressure and other data. These data are transmitted back to the central control system through the wireless network for real-time monitoring and feedback analysis to ensure that the geological conditions of each area can be recorded and analyzed in real time.

[0025] This method of evenly dividing the area and deploying the sensor network is to accurately solve the core problem of "vibration frequency adjustment lag". Due to the significant differences in geological materials in the foundation of high-rise buildings (such as rock, sand, silt, etc.), the vibration feedback signal in each area is different, which directly affects the frequency adjustment of the vibration equipment. By evenly dividing the foundation to be compacted and deploying a sensor network for each area, the real-time monitoring of the geological characteristics of each area can be refined, the response characteristics of different geological materials can be accurately obtained, and the vibration feedback information of each area can be processed independently. In this way, the frequency adjustment lag caused by differences in material properties can be effectively avoided, ensuring that the system can dynamically adjust the vibration frequency of different areas, thereby improving the uniformity and stability of compaction, and ultimately solving the risk of insufficient foundation density and local settlement.

[0026] Analyze the geological dynamic information of each area, evaluate the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment, and divide each area into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results; In this embodiment, the geological dynamic information of each region is analyzed, the adaptability of the geological materials in each region to the vibration frequency of the current vibration equipment is evaluated, and each region is divided into a high adaptability region, a medium adaptability region and a low adaptability region according to the evaluation results, which specifically includes the following steps: Preprocess the geological dynamic information obtained in each area; Obtaining geological dynamic information in various regions can be achieved through sensor networks deployed in different regions. These sensors may include accelerometers, strain sensors, seismic wave sensors, etc., which can monitor the geological response characteristics of each region in real time during the vibration process. The specific operation is to collect data through sensor nodes and transmit the data to the central processing system through a wireless communication network. The sensor can detect the transmission speed of vibration, stress changes, density changes, etc., to form geological dynamic information in various regions. The data acquisition frequency of the sensor network can be dynamically adjusted according to the operation of the real-time vibration equipment to ensure accurate recording of the feedback response of geological materials at different vibration frequencies.

[0027] The purpose of preprocessing is to improve the quality of data, eliminate noise and outliers, and ensure the accuracy of subsequent analysis and evaluation. Vibration feedback signals and geological dynamic information may be interfered by environmental noise, equipment deviation, etc. during the acquisition process, so preprocessing is very necessary. The preprocessing process includes: data denoising, using filtering algorithms such as high-pass filters or low-pass filters to remove high-frequency noise or low-frequency drift in the signal; data normalization, scaling the data collected in different areas to the same range to ensure the comparability of the data; outlier processing, identifying and removing abnormal data that deviates significantly from normal values ​​by analyzing the distribution of data. These operations can be automatically completed through data processing algorithms and statistical analysis methods, and implemented through software, thereby ensuring that the preprocessed data can accurately reflect the true dynamic characteristics of geological materials and provide a reliable basis for subsequent adaptability evaluation.

[0028] Extracting geological material information and vibration response dynamic information from the pre-processed geological dynamic information of each region, and analyzing them after extraction to generate geological adaptation coefficients and vibration response indexes for each region respectively; An adaptability evaluation model is constructed for the generated geological adaptability coefficient and vibration response index of each area, and the adaptability coefficient of each area is generated respectively. The generated adaptability coefficient of each area is compared with the preset adaptation coefficient threshold range, and the adaptability of the geological material of each area to the vibration frequency of the current vibration equipment is evaluated according to the comparison results, and each area is divided into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results.

[0029] The "pre-set adaptation coefficient threshold interval" can be determined by analyzing historical construction data, laboratory test data and simulation experiment results. First, the software system can perform statistical analysis on the operation data of vibration equipment under similar geological conditions in the past, and extract the distribution range of geological adaptation coefficients and vibration response indexes in different regions at different vibration frequencies. Combined with the simulation experiment data in the laboratory, the optimal adaptation coefficient of each material is determined by testing the vibration frequency of various geological materials under controllable conditions. Then, use data analysis software to conduct a comprehensive evaluation of all collected data, calculate the upper and lower limits of the adaptation coefficient, and determine the threshold interval of the adaptation coefficient through regression analysis or other statistical methods. The final threshold interval can be adjusted and verified through multiple iterations to ensure that the vibration frequency and geological material are optimally matched in the actual construction environment.

[0030] In this embodiment, the logic for obtaining the geological adaptability coefficient and vibration response index of each region is as follows: The geological material information is extracted from the preprocessed geological dynamic information of each region, including the average material density, average thickness of the geological layer and internal damping value of each region at different times within a period of time, and calibrated as , and , Indicates area within a period of time The average density of the material at time Indicates area within a period of time The average thickness of the geological layer at the time, Indicates area within a period of time The internal damping value at time , , , and are all positive integers; Extracting preprocessed geological material information can be achieved by multi-step analysis and processing of the original geological data collected by the sensor. First, the sensors deployed in each area will continuously collect material property data (such as density, geological layer thickness, internal damping, etc.) of each area within a preset time interval. After these data are transmitted to the central processing system, they are automatically preprocessed by data processing software, including denoising, outlier filtering and other processing steps. Then, the software will extract the geological material information of each area from the preprocessed data according to the preset algorithm. Specifically, the software can automatically extract the core data items related to geological adaptability at each time point, including the density, thickness and internal damping value of the material, and perform weighted averaging of multiple time points. The software can automatically identify and mark the different material property information of each area according to specific rules or models, and store and process them according to each area to ensure that the data of different areas are independent and comparable.

[0031] These quantitative data (material density, geological layer thickness, internal damping value) can be obtained through a variety of sensor devices deployed in each area. For example, material density can be indirectly obtained by calculating the speed of vibration waves propagating in the material through seismic wave sensors, the average thickness of the geological layer can be measured by detection equipment such as geological radar, and the internal damping value is calculated by monitoring the attenuation rate of vibration waves through acceleration sensors and strain sensors. During the data collection process, the software system will dynamically adjust the collection frequency according to the operating status of the vibration equipment to ensure that the data can reflect the geological status at different time points. The reason why data needs to be collected at different times over a period of time is that the physical properties of the material (such as density and damping value) may change dynamically during vibration compaction. This change may be affected by the vibration intensity, the structure of the geological material, and the external environment (such as humidity and temperature). Through multiple collections and time-weighted averaging, the software can generate a more stable and accurate material property value, eliminate accidental errors at a single time point, and ensure that the final geological adaptation coefficient can accurately reflect the dynamic changes of the material throughout the compaction process.

[0032] Calculate the geological adaptability coefficient of each area. The specific calculation formula is as follows: ; In the formula, For the The geological adaptability coefficient of each region; This calculation formula reflects the dynamic adaptability of the material during vibration through time-weighted averaging and comprehensive processing of multiple geological parameters. The calculation steps in the formula are designed to integrate the physical properties of the material in different time periods and use these properties to evaluate the adaptability of the geological material. Specifically: (Average density of materials): reflects the density changes of materials at different time points. The greater the density, the more difficult it is for the material to transmit vibration. Therefore, it is necessary to consider the effect of density on vibration adaptability. (Average thickness of geological layers): The thickness of geological layers directly affects the transmission path of vibrations. The greater the thickness, the worse the material's ability to adapt to vibrations. Therefore, it is multiplied by the density in the formula to jointly reflect the degree of material adaptability. (Internal damping value): The internal damping of the material determines the decay rate of vibration energy in the material. The greater the damping, the faster the vibration decays. To calculate, ensure that the internal attenuation of the material is taken into account. Weighted average processing: The summation symbol in the formula and the denominator It means averaging the data of multiple time points over a period of time to ensure that the adaptability coefficient can reflect the changes in material properties over the entire period of time and avoid instantaneous fluctuations affecting the calculation results. This calculation method comprehensively considers the density, thickness and damping characteristics of the material, combined with time-weighted averaging, can provide a more comprehensive adaptability assessment, ensuring that the geological adaptability coefficient accurately reflects the matching degree between the vibration equipment and the geological material.

[0033] No. Geological adaptation coefficient of the region The size directly reflects the degree of adaptability of the geological materials in the area to the vibration frequency of the current vibration equipment. The larger the adaptation coefficient, the lower the material density, the thinner the geological layer, and the smaller the internal damping in the area. These factors make it easier for the material to transmit and respond to vibrations, and therefore better match the frequency of the vibration equipment. On the contrary, the smaller the adaptation coefficient, the higher the material density, the thicker the geological layer, and the higher the internal damping in the area. These factors will weaken the transmission of vibrations, making it difficult for the frequency of the vibration equipment to adapt to the current geological materials. Therefore, by calculating the geological adaptation coefficient, it is possible to evaluate whether the materials in each area are adapted to the frequency of the current vibration equipment and determine whether the vibration frequency needs to be adjusted. The vibration response dynamic information of the preprocessed geological dynamic information of each region is extracted, including the average internal vibration transmission velocity, elastic modulus of the material and strain rate of the geological material in each region at different times within a period of time, and calibrated as , and , Indicates area within a period of time The average transmission speed of internal vibration at the moment, Indicates area within a period of time The elastic modulus of the material at time , Indicates area within a period of time The strain rate of the geological material at a given moment; Extracting the dynamic information of vibration response in each area can be achieved by deploying a multi-type sensor network in each area, mainly including accelerometers, strain sensors, and vibration transmission speed measuring equipment. First, the sensor collects data such as vibration transmission speed, elastic modulus and strain rate of the material at preset time intervals over a period of time. After preliminary processing, these raw data are transmitted to the central control system for further analysis by software. During extraction, the software will denoise, filter and normalize the data at different time points, and automatically calculate the vibration transmission speed, elastic modulus and strain rate at each time point. Then, the software will integrate the data at multiple time points in each area and extract the time-weighted average of these data. This method ensures that the dynamic information of vibration response in each area is accurate and can reflect the dynamic changes of the material.

[0034] The average transmission speed of internal vibration can be measured by an acceleration sensor to measure the propagation speed of vibration waves in geological materials. The sensor will record the time delay of vibration waves from the source point to different positions. The elastic modulus of the material can be monitored by a strain sensor to monitor the relationship between the stress applied by the vibration wave and the strain generated by the material. The software calculates the elastic modulus based on the ratio of stress to strain. The strain rate of the geological material is calculated by monitoring the change in the deformation rate of the material during the vibration process, and the sensor records the deformation of the material and the duration of vibration in real time. These data need to be collected at different times over a period of time because the vibration intensity and frequency applied to the geological material by the vibration equipment at different time points may fluctuate, and the physical properties of the geological material (such as elastic modulus and strain rate) will also change dynamically over time. Through multiple acquisitions and time-weighted averaging processing by software, it can be ensured that these quantitative data can reflect the true response characteristics of the material during the entire vibration process, eliminating data deviations caused by instantaneous fluctuations or short-term changes. This method makes the final calculated vibration response index more accurate and stable.

[0035] Calculate the vibration response index of each area. The specific calculation formula is as follows: ; In the formula, For the The vibration response index of a region.

[0036] The calculation formula calculates the vibration response index by integrating multiple key physical parameters, aiming to evaluate the response ability of geological materials in each area to the vibration frequency applied by the vibration equipment. It reflects the efficiency of vibration transmission in the material. The faster the vibration transmission speed, the easier it is for the material to transmit vibration. It reflects the rigidity of the material. The higher the rigidity, the stronger the material's vibration response ability. Therefore, the two are multiplied in the numerator to represent the overall response efficiency of the material to vibration. It measures the degree of deformation of the material during vibration. The greater the deformation, the lower the stability and the worse the response ability of the material. Therefore, the strain rate is placed in the denominator and expressed as to weaken the material's response. The formula also reduces the material's response by The weighted summation of multiple collected data (representing time period) ensures that the calculated vibration response index can reflect the comprehensive characteristics of the material over the entire time period, rather than just based on the instantaneous changes at a single time point. This can effectively capture the dynamic response characteristics of the material, making the index calculation more accurate and helping to optimize the adjustment of the vibration equipment.

[0037] No. Vibration response index of the area The size directly reflects the responsiveness of the geological materials in the region to the vibration frequency imposed by the vibration equipment. The larger the vibration response index, the faster the vibration transmission speed of the material, the higher the elastic modulus and the lower the strain rate, which means that the material can transmit vibration more quickly and effectively, indicating that the geological materials in the region are more compatible with the frequency of the current vibration equipment; on the contrary, the smaller the vibration response index, the lower the vibration transmission efficiency of the material, or the material is easily deformed under vibration, which means that it is difficult for the material to effectively respond to the frequency of the vibration equipment and has poor adaptability. Therefore, through the size of the vibration response index, the response of the material in each region to the vibration frequency can be evaluated, so as to determine whether the frequency of the vibration equipment needs to be adjusted.

[0038] In this embodiment, the geological adaptation coefficients of each region are generated. and vibration response index Construct an adaptation degree evaluation model and generate the adaptation coefficient of each area through weighted summation , and the generated adaptation coefficients of each region The pre-set adaptation coefficient threshold interval Compare and evaluate the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment according to the comparison results, and divide each area into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results. The specific comparison analysis and division are as follows: like , if the adaptability of the geological materials in the area to the vibration frequency of the current vibration equipment is low, then the area is classified as a low adaptability area; This situation means that the geological material in the area does not match the vibration frequency of the current vibration equipment and has a low degree of adaptability. Low adaptability indicates that the material density in the area is high, the geological layer is thick, or the internal damping is large, which makes it difficult to effectively transmit vibrations. It may be necessary to significantly adjust the frequency of the vibration equipment to adapt to the characteristics of the material. This division can be automatically identified by the software based on the comparison of the adaptation coefficient. The specific implementation method is that the software automatically obtains the adaptation coefficient of each area , and with the preset The threshold is compared, and the area below this value is automatically marked as a low adaptation area. In these areas, the vibration frequency can be reduced through software prompts to improve the vibration transmission efficiency.

[0039] like , if the adaptability of the geological materials in the area to the vibration frequency of the current vibration equipment is medium, then the area is divided into a medium adaptability area; This situation indicates that the geological material in this area has a moderate frequency match with the current vibration equipment, and is basically adapted to the vibration frequency, but there may be some room for optimization. This adaptability indicates that the geological material has medium density, thickness and damping characteristics, and can transmit some vibrations, but the transmission efficiency is not ideal. These areas can be automatically divided by software, and the software compares the adaptation coefficient of each area with the threshold interval. The area falling in this interval is marked as a medium adaptation area. In these areas, it is possible to consider slightly adjusting the frequency of the vibration equipment to further optimize the compaction effect while reducing excessive stress on the material.

[0040] like , if the geological materials in this area are highly adaptable to the vibration frequency of the current vibration equipment, then this area is classified as a high-adaptability area.

[0041] This situation indicates that the geological material in the area is highly matched to the vibration frequency of the current vibration equipment and has a high degree of adaptability. High adaptability indicates that the material has a low density, a thin thickness, a small internal damping, a high vibration transmission efficiency, and the material can quickly respond to the action of the vibration equipment. The division of high adaptability areas can be automatically completed by the software based on the upper limit comparison of the adaptability coefficient. When the software identifies Exceed When the vibration frequency reaches 0, the area is automatically marked as a high adaptation area. For these areas, no major adjustments are usually required and the current vibration frequency can be maintained to ensure the optimization of equipment efficiency.

[0042] The process of constructing the adaptation assessment model is to calculate the geological adaptation coefficient of each area. and vibration response index Perform weighted summation to generate the adaptation coefficient of the area In this process, the weight coefficient and The setting of the weights is crucial, and they correspond to the relative importance of the geological adaptability coefficient and the vibration response index. The weight setting is usually based on experimental data, historical records, and specific geological conditions. For example, if the vibration equipment has high requirements for the responsiveness of the material, the vibration response index Weight may be larger; and if the density and thickness of the material have a greater impact on vibration transmission, the geological adaptation coefficient Weight When calculating, the software will use the pre-set weight formula to calculate and Multiply by the corresponding weights and , and then add the weighted results to get the adaptation coefficient of each area ,Right now: In this way, the evaluation model can comprehensively consider the material characteristics and vibration response capabilities to ensure that the generated adaptation coefficient It can accurately reflect the matching degree between the geological materials in each area and the frequency of the current vibration equipment.

[0043] According to the division results of the various areas in the area to be compacted, an adjustment mechanism for dynamically adjusting the vibration frequency of different areas is constructed, and after the construction, it is applied to the current vibration equipment; In this embodiment, according to the division results of each area in the area to be compacted, an adjustment mechanism for dynamically adjusting the vibration frequencies of different areas is constructed, specifically: according to the division results of the high-adaptability area, the medium-adaptability area and the low-adaptability area, different vibration frequency adjustment parameters are set respectively to form an adjustment mechanism; the adjustment mechanism automatically determines the adjustment amplitude and method of the vibration frequency based on the adaptation coefficient and the current vibration frequency state of each area through pre-set rules; The realization of "building an adjustment mechanism for dynamically adjusting the vibration frequency of different areas according to the division results of each area in the foundation area to be compacted" can be completed through a software system based on real-time data collection and analysis. First, the software system divides the area into high-adaptation, medium-adaptation and low-adaptation areas based on the adaptability coefficient and vibration response index of each area. This process is processed and evaluated through the geological dynamic information and vibration feedback information collected in real time by the sensor network. Next, the system will set different vibration frequency adjustment parameters for each area based on the adaptability evaluation results of each area, applying preset rules and adjustment strategies. In specific implementation, the software will automatically calculate the frequency adjustment amplitude and specific method suitable for each area (such as keeping the frequency unchanged, appropriately increasing or decreasing the vibration frequency) based on the current adaptability coefficient and vibration frequency state. These adjustment parameters are transmitted to the vibration equipment in real time through the dynamic adjustment mechanism of the software, so as to make independent and accurate vibration frequency adjustments for different areas. The reason for this is to ensure that each foundation area can use the most suitable vibration frequency according to its different geological characteristics (such as material density, thickness, damping, etc.), so as to avoid uneven foundation compaction effect or material damage caused by too high or too low frequency. By dynamically adjusting the frequency of different areas in real time through software, the compaction efficiency can be improved, unnecessary energy waste can be reduced, and the construction quality and long-term stability of the foundation can be ensured. This method can reduce human intervention through automated and intelligent software control, ensuring that the vibration frequency is adjusted accurately and efficiently.

[0044] Different frequency adjustments are made to the high adaptation area, medium adaptation area and low adaptation area respectively, specifically including: in the high adaptation area, the standard vibration frequency parameters in the adjustment mechanism are used to keep the current vibration frequency unchanged; in the medium adaptation area, the medium vibration frequency parameters in the adjustment mechanism are used to adjust the vibration frequency to optimize the vibration effect; in the low adaptation area, the low frequency parameters in the adjustment mechanism are used to reduce the vibration frequency to improve the vibration adaptability of the material and enhance the compaction effect.

[0045] To achieve "different frequency adjustments for high-adaptability areas, medium-adaptability areas and low-adaptability areas respectively", it can be done through the software control system combined with real-time monitoring data. First, the software will divide each area into high-adaptability, medium-adaptability and low-adaptability areas based on the geological adaptability coefficient and vibration response index collected and analyzed in the early stage. Then, the software will call the preset adjustment mechanism according to the adaptability results of each area. For high-adaptability areas, the system will set standard vibration frequency parameters and keep the current frequency unchanged, because the geological materials in these areas are highly matched with the frequency of the equipment and do not need to be adjusted. For medium-adaptability areas, the software will automatically select medium-frequency adjustment parameters, slightly increase or decrease the vibration frequency to adapt to the material characteristics of the area and ensure better compaction efficiency. For low-adaptability areas, the system will select low-frequency parameters and automatically reduce the vibration frequency to reduce the strain pressure of the material under high-frequency vibration and increase the adaptability of the material. All frequency adjustments will be based on real-time data, monitored through sensor feedback, and the frequency adjustment of the vibration equipment will be controlled by software. The purpose of this is to ensure that the vibration frequency of each area can match its geological conditions through automated vibration frequency adjustment, avoiding uneven foundation compaction or material damage caused by too high or too low frequency. At the same time, this can reduce the waste of construction energy, extend the service life of equipment, and ensure the construction quality and stability of the foundation. Dynamic adjustment through software control system can reduce manual intervention, improve construction efficiency, and ensure the accuracy and timeliness of the adjustment process, and optimize the vibration effect in different areas.

[0046] To achieve "and apply it to the current vibration equipment after construction", the frequency parameters generated by the adjustment mechanism can be transmitted to the control module of the vibration equipment in real time through the software control system. First, in the software system, the dynamic adjustment mechanism has generated the corresponding vibration frequency adjustment parameters according to the adaptability of each area. Then, the software sends these frequency parameters to the main controller of the vibration equipment through wireless or wired communication protocols (such as Modbus, CAN bus or wireless transmission protocol of industrial control standards). The main controller will receive the adjustment instructions for each area and adjust the operating parameters of the equipment according to these instructions, such as the speed of the vibration motor or the frequency output of the vibrator. In specific implementation, the software will monitor the current state of the vibration equipment and compare it with the preset vibration frequency adjustment mechanism in real time to ensure that the equipment can make timely adjustments according to the needs of different areas. The whole process can be achieved through a closed-loop control system. The software continuously receives sensor data and the adjusted vibration frequency is fed back to the software system to ensure that the operation of the equipment is consistent with the adaptability of the regional division. This method can achieve precise vibration frequency control and ensure that the vibration equipment can work according to the most suitable parameters in areas with different geological conditions, avoiding uneven foundation compaction or damage caused by inappropriate vibration frequency. This automated control reduces manual intervention, improves the operating efficiency of vibration equipment, and ensures accuracy and consistency in the frequency adjustment process.

[0047] During the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time, and analyzed after acquisition to evaluate whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results; In this embodiment, during the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time, and analyzed after acquisition to evaluate whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results, which specifically includes the following steps: During the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time and pre-processed after acquisition; In the process of applying the adjustment mechanism, real-time acquisition of vibration feedback information can be achieved through the sensor network deployed in various areas. Specifically, equipment such as accelerometers, strain sensors, and seismic wave sensors are installed at key locations in each area. These sensors will capture the acceleration, stress, strain and other data of geological materials during the vibration process in real time. These sensors transmit the real-time collected data to the central control system through wireless communication protocols (such as Wi-Fi, LoRa or ZigBee) or wired industrial communication protocols (such as Modbus or CAN bus). The software system will regularly read this data from the sensors to ensure that the vibration feedback information of each area can be accurately and quickly transmitted to the control center during the operation of the vibration equipment. This data transmission method can ensure real-time performance and can dynamically adjust the parameters of the vibration equipment.

[0048] The purpose of preprocessing is to ensure that the vibration feedback information collected from the sensor is accurate and suitable for subsequent analysis. Because the raw data collected by the sensor may be affected by environmental noise, equipment errors or signal distortion, direct analysis may lead to biased results. Preprocessing usually includes the following steps: denoising, filters (such as low-pass filters or Kalman filters) can be used to remove high-frequency noise or low-frequency drift in the data; normalization processing, scaling data from different regions or different sensors to the same numerical range to ensure that data from different sources can be compared and comprehensively analyzed; outlier processing, through statistical analysis, identifying and removing abnormal data points caused by equipment errors or sudden interference. These preprocessing operations can be automatically completed by data processing software, and the accuracy and stability of feedback data can be ensured through real-time calculations, providing a high-quality data basis for subsequent evaluations.

[0049] Extract the dynamic information of geological stress and strain and the dynamic information of density change from the pre-processed vibration feedback information of each area, and analyze them after extraction to generate the compaction effect coefficient and density change index of each area respectively; An adjustment effect evaluation model is constructed for the compaction effect coefficient and density change index generated for each area, and the adjustment coefficient of each area is generated. The generated adjustment coefficient of each area is compared with the pre-set adjustment coefficient thresholds of each area. According to the comparison results, it is evaluated whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results.

[0050] The "pre-set adjustment coefficient thresholds for each area" can be determined through a comprehensive analysis of historical construction data, laboratory test results, and simulation experiments. Specifically, the software system will first collect and analyze the feedback data of each area under different adjustment mechanisms based on past construction records under similar geological conditions, including the compaction effect coefficient and the density change index. Next, the software will simulate the vibration frequency response and density changes of different geological materials in the laboratory to obtain the feedback parameters of the material under the optimal adjustment state. The software system will input these historical data and laboratory results into a regression analysis or machine learning algorithm to calculate the ideal adjustment coefficient range for each area. The thresholds automatically generated by the system will be dynamically optimized according to the specific geological conditions of the area and the application of the adjustment mechanism to ensure that the preset adjustment coefficient thresholds can adapt to the actual construction conditions.

[0051] In this embodiment, the logic for obtaining the compaction effect coefficient and density change index of each area is as follows: Extract the dynamic information of geological stress and strain from the vibration feedback information of each area after preprocessing, including the average vibration acceleration applied by the vibration equipment to each area at different times during a period of time during the application of the adjustment mechanism, the vibration frequency of the vibration equipment in each area, the stress and strain of the geological materials in each area under the vibration, and the corresponding time points, and use the function to calculate the dynamic information of geological stress and strain in each area according to the time series. , , and To express, is a time point, and the time period is defined as , Indicates that during the application of the adjustment mechanism, The vibration device is applied at the The average vibration acceleration of the area, Indicates that during the application of the adjustment mechanism, The vibration device is at The vibration frequency of the region, Indicates that during the application of the adjustment mechanism, Moment The stress of geological materials in a region under vibration, Indicates that during the application of the adjustment mechanism, Moment The strain of geological materials in a region under vibration, , is a positive integer; To extract the dynamic information of geological stress and strain in each area, it can be achieved through a sensor network. Specifically, accelerometers, strain sensors and stress sensors will be deployed in each area. Accelerometers collect the average vibration acceleration applied by the vibration equipment in real time, while stress and strain sensors are responsible for collecting the stress and strain generated by geological materials during the vibration process. Each sensor collects data at a preset time interval to ensure that data at different time points are recorded. These data are transmitted to the central control system via wired or wireless transmission methods (such as Modbus or Zigbee communication protocols). The software in the system will pre-process these data (such as denoising, normalization, etc.) and mark the data at each time point to ensure the timeliness and accuracy of the data throughout the application of the vibration adjustment mechanism. The software will automatically correspond the acceleration, frequency, stress and strain at each time point to generate complete stress and strain dynamic information.

[0052] Acceleration data is acquired by acceleration sensors to monitor the vibration intensity of the vibration equipment in each area; the vibration frequency can be acquired by the frequency meter built into the vibration equipment; the stress and strain of geological materials are monitored by stress sensors and strain sensors buried underground. The reason why data needs to be collected at different times over a period of time is that the response of geological materials to vibration has dynamic characteristics. Over time, the frequency, acceleration of the vibration equipment, and the stress and strain of the material will change. By continuously collecting data, the software can obtain a more complete material property change curve to ensure that the evaluation model can accurately reflect the effect of the vibration adjustment mechanism at different times. Data collected at regular time periods can help predict the response state of geological materials at different stages, thereby optimizing the adjustment plan of the vibration equipment and ensuring uniform and effective foundation compaction effect.

[0053] Calculate the compaction effect coefficient of each area. The specific calculation formula is as follows: ; In the formula, For the The compaction effect coefficient of each area; The compaction effect coefficient The calculation formula reflects the comprehensive compaction effect of the vibration equipment on the foundation material by integrating the acceleration, vibration frequency, stress and strain at each time point during the vibration process. Specifically: vibration acceleration : Acceleration represents the magnitude of the force applied by the vibration equipment to the geological material. The greater the vibration acceleration, the more significant the compaction effect, so it is used as one of the core parameters of the calculation. :Frequency indicates the frequency of vibration. Higher frequency can cause geological materials to compact faster, so frequency is used to reflect the intensity of vibration. Stress and strain :Stress reflects the force that geological materials are subjected to during vibration, while strain represents the degree of deformation of the material. The ratio of stress to strain It represents the material's ability to resist deformation. The stronger the deformation resistance, the better the material can maintain its structural stability and the better the compaction effect. The integration is performed over the entire time period, taking into account the dynamic changes at different time points during the vibration process. The integration reflects the cumulative compaction effect over the entire time period, rather than the effect of a single moment, ensuring that the calculation results can fully reflect the compaction state of the material.

[0054] No. Compaction effect coefficient of the area The size of directly reflects the compaction effect of the vibration equipment on the geological materials in the area. The larger the compaction effect coefficient, the more it indicates that the acceleration and frequency applied by the vibration equipment match the stress-strain response of the material, and the density of the material increases significantly with the passage of vibration time, which means that the effect of the adjustment mechanism has reached the expected effect. On the contrary, a smaller compaction effect coefficient indicates that the vibration frequency or acceleration may not fully act on the geological material, resulting in an unsatisfactory compaction effect, which means that the effect of the adjustment mechanism in this area has not reached the expected effect. Therefore, by evaluating The size of the vibration parameters can be used to determine whether the current adjustment mechanism has effectively improved the density of the foundation material in each area, and then determine whether further adjustments to the vibration parameters are needed.

[0055] Extract the dynamic information of density change from the vibration feedback information of each area after preprocessing, including the average density, strain change rate and corresponding time points of geological materials in each area under vibration at different times during the application of the adjustment mechanism, and use the function to calculate the density of the geological materials in each area according to the time series. and To express, For time point, Indicates that during the application of the adjustment mechanism, Moment The average density of geological materials in a region under vibration, Indicates that during the application of the adjustment mechanism, Moment The rate of change of strain of geological materials in a region under vibration; To extract dynamic information about density changes in each area, high-precision density sensors and strain sensors can be deployed in the construction area. Density sensors are responsible for real-time measurement of the average density of geological materials during vibration, while strain sensors monitor the strain change rate of geological materials. These sensors regularly collect data at fixed intervals over a period of time and mark the corresponding time points to ensure that the density and strain change rates at each time point can be accurately recorded. The dynamic information collected by the sensor is transmitted to the data processing software in the control system through wireless communication protocols (such as LoRa or ZigBee). The software will pre-process the data, including data denoising, time point synchronization and other operations, to ensure that all data is uniformly formatted and input into the density change analysis model. Through the dynamic data processing of the software, the density change information at different times during the entire vibration process can be generated.

[0056] The average density is obtained through a density sensor, which usually calculates the real-time density by measuring the vibration propagation characteristics of the material; the strain change rate is obtained through a strain sensor, which records the deformation rate of the material during the vibration process. These data need to be collected at different times over a period of time because the changes in density and strain are dynamic throughout the vibration tamping process. Over time, changes in vibration frequency will cause fluctuations in material density and strain rate. By collecting data at different time points, the trend of changes in density over time can be accurately captured, especially the response of geological materials when the vibration intensity changes. In addition, the regularly collected data can also help identify the law of density changes within a specific period of time, provide complete time series data for subsequent evaluation models, and help dynamically adjust the vibration frequency to ensure the uniformity of tamping.

[0057] Calculate the density change index of each area. The specific calculation formula is as follows: ; In the formula, For the The density change index of a region.

[0058] The density change index The calculation formula reflects the cumulative effect of vibration equipment on the density of geological materials by integrating the dynamic information of material density change rate and strain rate. The specific explanation is as follows: Density change rate : This item represents the rate of change of density of geological materials under vibration. Density is a key parameter reflecting the degree of compaction of materials. The higher the density change rate, the more obvious the compaction effect of the material during the vibration process. Therefore, it is the core part of the calculation. Logarithmic function :The logarithmic function here represents the rate of change of strain The strain rate reflects the deformation speed of the material during the vibration process. Taking the logarithm can weaken the excessive influence of the strain change rate on the final calculation result, so that the formula can better handle nonlinear changes and reflect the material's adaptation to vibration at low strain rates. Integration: The formula is applied to the entire adjustment mechanism (from arrive ) reflects the continuous impact of the vibration equipment on the material density over the entire time period, rather than just the instantaneous change at a single moment. This can capture the cumulative density changes of the material and more accurately reflect the overall effect of the adjustment mechanism. By integrating the product of these two main variables, the formula can comprehensively consider the effects of time, density and strain rate on density and obtain the density change trend of the material throughout the vibration process.

[0059] No. The density change index of the region The size directly reflects the impact of the vibration equipment on the density change of geological materials over time. The larger the density change index, the higher the density change rate of the material under vibration, indicating that the vibration frequency, acceleration and strain rate are better matched with the characteristics of the material, and the material is effectively compacted, which means that the effect of the adjustment mechanism in this area meets expectations. On the contrary, if The smaller the value is, the more obvious it is, indicating that the vibration has a limited effect on density and the density of the material does not change significantly, indicating that the current adjustment mechanism has not fully played its role and the vibration parameters need to be further optimized. The size of the vibration can be used to determine whether the adjustment mechanism has effectively increased the density of the area and help determine whether the frequency or intensity of the vibration equipment needs to be adjusted.

[0060] In this embodiment, the compaction effect coefficient of each generated area is and density change index Construct an adjustment effect evaluation model and generate adjustment coefficients for each region through weighted summation , and the adjustment coefficients for each region generated The adjustment coefficient thresholds for each area are set in advance Compare and evaluate whether the adjustment effect of the adjustment mechanism in each region meets expectations based on the comparison results, and adjust the adjustment mechanism based on the evaluation results. The specific comparison and analysis is as follows: like , the adjustment effect of the adjustment mechanism in this area meets expectations, and there is no need to adjust the adjustment mechanism; This situation means that the current vibration frequency, acceleration and other parameters match the physical properties of the geological material, and the foundation compaction effect has reached the target requirements. In this case, there is no need to further adjust the parameters of the vibration equipment, and the current adjustment mechanism can continue to be maintained. This shows that the system has entered a stable state, and the current adjustment plan has been able to effectively improve the density of the foundation and optimize the allocation of resources and time during the construction process. For the software system, in this case, real-time feedback information can continue to be collected for long-term monitoring, while saving the current parameters for subsequent construction optimization in similar areas.

[0061] like The adjustment effect of the adjustment mechanism in this area did not meet expectations, and the adjustment mechanism needed to be adjusted, including: analyzing whether the current vibration parameters match the characteristics of geological materials based on the feedback information from each area, and dynamically adjusting the vibration frequency and acceleration parameters, monitoring the adjustment effect in real time and deciding whether to make iterative adjustments.

[0062] This situation means that the current vibration frequency, acceleration and other parameters have failed to effectively act on the geological material, resulting in poor compaction effect. In this case, the software system needs to analyze the current parameters through feedback information to identify which parameters fail to match the material properties. The system can then dynamically adjust the vibration frequency and acceleration. The specific implementation methods include: by analyzing the geological stress-strain data and vibration feedback data, identifying the problem areas and related parameters, combining historical data or machine learning models, adjusting the vibration frequency to increase the force on the material, or reducing the frequency to avoid excessive deformation of the material. The adjusted parameters will be applied to the vibration equipment in real time, and the system will continue to monitor the adjusted effects to ensure that the dynamic adjustment mechanism can effectively optimize the foundation compaction effect, and make iterative adjustments when necessary. This method can ensure the flexibility and adaptability of the adjustment mechanism and solve the problem of poor compaction effect caused by the complexity of geological materials.

[0063] To "compact the coefficient of each area generated and density change index Construct an adjustment effect evaluation model and generate the adjustment coefficients for each region through weighted summation ", first of all, it is necessary to assign a suitable weight coefficient to each coefficient, which is usually set based on geological conditions, engineering requirements and empirical values ​​in historical data. Specifically, the compaction effect coefficient It reflects the direct impact of vibration equipment on the stress-strain response of materials, so for some harder geological materials, its weight can be higher. It reflects the change in the density of the foundation material, especially for areas with high water content and relatively soft soil, its weight can be higher. and These different material properties are reflected and used to calculate the comprehensive adjustment factor for each area. The specific formula is as follows: The weighted summation is used to comprehensively consider the impact of compaction effect and density change. and The value of can be optimized and adjusted based on geological characteristics through data analysis or historical records to ensure that the adjustment coefficient can fully reflect the vibration effect in each area. The adaptability of current vibration parameters in various areas can be effectively evaluated and used to determine whether further adjustments are needed.

[0064] Based on the geological dynamic information and vibration feedback information collected over a long period of time, the adjustment mechanism is dynamically optimized and updated, and the vibration frequency of the vibration equipment is continuously adjusted to maintain the uniformity and stability of the foundation compaction.

[0065] To achieve "dynamic optimization and updating of the adjustment mechanism based on long-term collected geological dynamic information and vibration feedback information, continuously adjusting the vibration frequency of the vibration equipment, and maintaining the uniformity and stability of the foundation compaction", it can be achieved in the following ways: First, the software system will continuously collect geological dynamic information (such as density, stress and strain, etc.) and vibration feedback information (such as acceleration, frequency, etc.) from various regions. These data will be transmitted to the central control system in real time through the sensor network for storage and analysis. Based on historical data and current feedback data, the software will use machine learning algorithms or regression models to dynamically identify geological change trends and vibration effects in different regions and update frequency adjustment parameters. At the same time, the system will evaluate the matching of vibration frequency with geological conditions based on these data and continuously optimize the operating parameters of the vibration equipment. By comparing long-term trends and short-term feedback, the software can predict the response of future geological materials and pre-adjust the vibration frequency based on these predicted results. The purpose of this is to ensure that the vibration equipment can adapt to long-term geological changes, avoid local over-compacting or under-compacting, and ensure uniform and stable compaction of the entire foundation.

[0066] like Figure 2 The variable resonant frequency hydraulic vibration control system based on DSP shown includes a geological information acquisition module, an adaptability evaluation module, a dynamic adjustment mechanism construction module, a feedback analysis and adjustment module, and a dynamic optimization update module; The geological information acquisition module evenly divides the foundation area to be compacted into several areas during the construction of high-rise building foundations, and deploys a sensor network in each area to obtain the geological dynamic information of each area in real time; The adaptability assessment module analyzes the acquired geological dynamic information of each area, assesses the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment, and divides each area into high adaptability area, medium adaptability area and low adaptability area according to the assessment results; A dynamic adjustment mechanism construction module, which constructs an adjustment mechanism for dynamically adjusting the vibration frequency of different areas according to the division results of the various areas in the foundation area to be compacted, and applies it to the current vibration equipment after construction; Feedback analysis and adjustment module, during the application of the adjustment mechanism, obtains the vibration feedback information of each area in real time, analyzes it after acquisition, evaluates whether the adjustment effect of the adjustment mechanism in each area meets expectations, and adjusts the adjustment mechanism according to the evaluation results; The dynamic optimization and update module dynamically optimizes and updates the adjustment mechanism based on the geological dynamic information and vibration feedback information collected over a long period of time, continuously adjusts the vibration frequency of the vibration equipment, and maintains the uniformity and stability of the foundation compaction.

[0067] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0068] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0069] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0070] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0071] In the several embodiments provided in the present application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0072] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0073] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0074] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A variable resonant frequency hydraulic vibration control method based on DSP, characterized in that: The specific steps include: During the construction of high-rise building foundations, the foundation area to be compacted is evenly divided into several areas, and a sensor network is deployed in each area to obtain real-time geological dynamic information of each area; Analyze the geological dynamic information of each area, evaluate the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment, and divide each area into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results; According to the division results of the various areas in the area to be compacted, an adjustment mechanism for dynamically adjusting the vibration frequency of different areas is constructed, and after the construction, it is applied to the current vibration equipment; During the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time, and analyzed after acquisition to evaluate whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results; Based on the geological dynamic information and vibration feedback information collected over a long period of time, the adjustment mechanism is dynamically optimized and updated, and the vibration frequency of the vibration equipment is continuously adjusted to maintain the uniformity and stability of the foundation compaction.

2. The variable resonant frequency hydraulic vibration control method based on DSP according to claim 1 is characterized in that: The acquired geological dynamic information of each area is analyzed to evaluate the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment, and each area is divided into a high adaptability area, a medium adaptability area and a low adaptability area according to the evaluation results, which specifically includes the following steps: Preprocess the acquired geological dynamic information of each area; Extracting geological material information and vibration response dynamic information from the pre-processed geological dynamic information of each region, and analyzing them after extraction to generate geological adaptation coefficients and vibration response indexes for each region respectively; An adaptability evaluation model is constructed for the generated geological adaptability coefficient and vibration response index of each area, and the adaptability coefficient of each area is generated respectively. The generated adaptability coefficient of each area is compared with the preset adaptation coefficient threshold range, and the adaptability of the geological material of each area to the vibration frequency of the current vibration equipment is evaluated according to the comparison results, and each area is divided into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results.

3. The variable resonant frequency hydraulic vibration control method based on DSP according to claim 2 is characterized in that: The logic for obtaining the geological adaptability coefficient and vibration response index of each area is as follows: The geological material information is extracted from the preprocessed geological dynamic information of each region, including the average material density, average thickness of the geological layer and internal damping value of each region at different times within a period of time, and calibrated as , and , Indicates Regions within a period of time The average density of the material at time Indicates Regions within a period of time The average thickness of the geological layer at the time, Indicates Regions within a period of time The internal damping value at time , , , and All are positive integers; Calculate the geological adaptability coefficient of each area. The specific calculation formula is as follows: ； In the formula, For the The geological adaptability coefficient of a region; The vibration response dynamic information of the preprocessed geological dynamic information of each region is extracted, including the average internal vibration transmission velocity, elastic modulus of the material and strain rate of the geological material in each region at different times within a period of time, and calibrated as , and , Indicates Regions within a period of time The average transmission speed of internal vibration at the moment, Indicates area within a period of time The elastic modulus of the material at time , Indicates Regions within a period of time The strain rate of the geological material at a given moment; Calculate the vibration response index of each area. The specific calculation formula is as follows: ； In the formula, For the The vibration response index of a region.

4. The variable resonant frequency hydraulic vibration control method based on DSP according to claim 3 is characterized in that: The geological adaptation coefficient for each generated area and vibration response index Construct an adaptation degree evaluation model and generate the adaptation coefficient of each area through weighted summation , and the generated adaptation coefficients of each region The pre-set adaptation coefficient threshold interval Compare and evaluate the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment according to the comparison results, and divide each area into high adaptability area, medium adaptability area and low adaptability area according to the evaluation results. The specific comparison analysis and division are as follows: like , if the adaptability of the geological materials in the area to the vibration frequency of the current vibration equipment is low, then the area is classified as a low adaptability area; like , if the adaptability of the geological materials in the area to the vibration frequency of the current vibration equipment is medium, then the area is divided into a medium adaptability area; like , if the geological materials in this area are highly adaptable to the vibration frequency of the current vibration equipment, then this area is classified as a high-adaptability area.

5. The variable resonant frequency hydraulic vibration control method based on DSP according to claim 4 is characterized in that: According to the division results of each area in the area to be compacted, an adjustment mechanism for dynamically adjusting the vibration frequencies of different areas is constructed, specifically: according to the division results of the high-adaptability area, the medium-adaptability area and the low-adaptability area, different vibration frequency adjustment parameters are set respectively to form an adjustment mechanism; the adjustment mechanism is based on the adaptation coefficient of each area and the current vibration frequency state, and automatically determines the adjustment amplitude and method of the vibration frequency through pre-set rules; Different frequency adjustments are made to the high adaptation area, the medium adaptation area and the low adaptation area respectively, specifically including: in the high adaptation area, the standard vibration frequency parameters in the adjustment mechanism are used to keep the current vibration frequency unchanged; in the medium adaptation area, the medium vibration frequency parameters in the adjustment mechanism are used to adjust the vibration frequency; in the low adaptation area, the low frequency parameters in the adjustment mechanism are used to reduce the vibration frequency.

6. The variable resonant frequency hydraulic vibration control method based on DSP according to claim 5 is characterized in that: During the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time, and analyzed after acquisition to evaluate whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results, which specifically includes the following steps: During the application of the adjustment mechanism, the vibration feedback information of each area is obtained in real time and pre-processed after acquisition; Extract the dynamic information of geological stress and strain and the dynamic information of density change from the pre-processed vibration feedback information of each area, and analyze them after extraction to generate the compaction effect coefficient and density change index of each area respectively; An adjustment effect evaluation model is constructed for the compaction effect coefficient and density change index generated for each area, and the adjustment coefficient of each area is generated. The generated adjustment coefficient of each area is compared with the pre-set adjustment coefficient thresholds of each area. According to the comparison results, it is evaluated whether the adjustment effect of the adjustment mechanism in each area meets expectations, and the adjustment mechanism is adjusted according to the evaluation results.

7. The variable resonant frequency hydraulic vibration control method based on DSP according to claim 6 is characterized in that: The logic for obtaining the compaction effect coefficient and density change index of each area is as follows: Extract the dynamic information of geological stress and strain from the vibration feedback information of each area after preprocessing, including the average vibration acceleration applied by the vibration equipment to each area at different times during a period of time during the application of the adjustment mechanism, the vibration frequency of the vibration equipment in each area, the stress and strain of the geological materials in each area under the vibration, and the corresponding time points, and use the function to calculate the dynamic information of geological stress and strain in each area according to the time series. , , and To express, is a time point, and the time period is defined as , Indicates that during the application of the adjustment mechanism, The vibration device is applied at the The average vibration acceleration of the area, Indicates that during the application of the adjustment mechanism, The vibration device at the moment The vibration frequency of the region, Indicates that during the application of the adjustment mechanism, Moment The stress of geological materials in a region under vibration, Indicates that during the application of the adjustment mechanism, Moment The strain of geological materials in a region under vibration, , is a positive integer; Calculate the compaction effect coefficient of each area. The specific calculation formula is as follows: ； In the formula, For the The compaction effect coefficient of each area; Extract the dynamic information of density change from the vibration feedback information of each area after preprocessing, including the average density, strain change rate and corresponding time points of geological materials in each area under vibration at different times during the application of the adjustment mechanism, and use functions according to the time series. and To express, For time point, Indicates that during the application of the adjustment mechanism, Moment The average density of geological materials in a region under vibration, Indicates that during the application of the adjustment mechanism, Moment The rate of change of strain of geological materials in a region under vibration; Calculate the density change index of each area. The specific calculation formula is as follows: ； In the formula, For the The density change index of a region.

8. The variable resonant frequency hydraulic vibration control method based on DSP according to claim 7 is characterized in that: The compaction effect coefficient for each generated area and density change index Construct an adjustment effect evaluation model and generate adjustment coefficients for each region through weighted summation , and the adjustment coefficients for each region generated The adjustment coefficient thresholds for each area are set in advance Compare and evaluate whether the adjustment effect of the adjustment mechanism in each region meets expectations based on the comparison results, and adjust the adjustment mechanism based on the evaluation results. The specific comparison and analysis is as follows: like , the adjustment effect of the adjustment mechanism in this area meets expectations, and there is no need to adjust the adjustment mechanism; like The adjustment effect of the adjustment mechanism in this area did not meet expectations, and the adjustment mechanism needed to be adjusted, including: analyzing whether the current vibration parameters match the characteristics of geological materials based on the feedback information from each area, and dynamically adjusting the vibration frequency and acceleration parameters, monitoring the adjustment effect in real time and deciding whether to make iterative adjustments.

9. A DSP-based variable resonant frequency hydraulic vibration control system, used to implement the DSP-based variable resonant frequency hydraulic vibration control method described in any one of claims 1 to 8, characterized in that: It includes geological information acquisition module, adaptability assessment module, dynamic adjustment mechanism construction module, feedback analysis and adjustment module and dynamic optimization and update module; The geological information acquisition module evenly divides the foundation area to be compacted into several areas during the construction of high-rise building foundations, and deploys a sensor network in each area to obtain the geological dynamic information of each area in real time; The adaptability assessment module analyzes the acquired geological dynamic information of each area, assesses the adaptability of the geological materials in each area to the vibration frequency of the current vibration equipment, and divides each area into high adaptability area, medium adaptability area and low adaptability area according to the assessment results; A dynamic adjustment mechanism construction module, which constructs an adjustment mechanism for dynamically adjusting the vibration frequency of different areas according to the division results of the various areas in the foundation area to be compacted, and applies it to the current vibration equipment after construction; Feedback analysis and adjustment module, during the application of the adjustment mechanism, obtains the vibration feedback information of each area in real time, analyzes it after acquisition, evaluates whether the adjustment effect of the adjustment mechanism in each area meets expectations, and adjusts the adjustment mechanism according to the evaluation results; The dynamic optimization and update module dynamically optimizes and updates the adjustment mechanism based on the geological dynamic information and vibration feedback information collected over a long period of time, continuously adjusts the vibration frequency of the vibration equipment, and maintains the uniformity and stability of the foundation compaction.

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