Continuous Detection Method for Compaction Quality of Filling Engineering Based on Maximum Positive Kinetic Energy Increment

Abstract

Continuous detection method for compaction quality of filling project based on maximum positive kinetic energy increment. It uses vibration sensors to receive vertical vibration signals generated by the interaction between the vibrating wheel and the soil, as well as the spatial position signals of the roller provided by GPS / BDS. It captures the speed peak when the vibrating wheel moves downward in each cycle and calculates the maximum positive kinetic energy increment of the vibrating wheel in each cycle, and then calculates the kinetic energy type continuous detection index of compaction quality, namely the kinetic energy compaction value KECV. Taking the kinetic energy compaction value KECV as the kinetic energy increment type continuous detection index of compaction quality, combined with the current position coordinates of the roller, during the compaction construction process of the roller, it continuously detects the compaction quality of the filling project. The present invention has the characteristics of being continuous, real-time, highlighting spatial variability, directly reflecting the change of the energy absorbed by the soil during compression, and low cost. Integrated with intelligent decision-making and fleet coordination functions, it can realize the collaborative operation of intelligent roller fleets.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent construction in civil engineering and is used for on-line detection of compaction quality. In particular, it relates to a continuous detection method for compaction quality of filling projects based on the maximum positive kinetic energy increment. Background Technique

[0002] The main continuous detection indexes of compaction quality proposed in the existing continuous detection of compaction quality in filling projects are I p , CMV, MDP, K s , E vib and THD, etc.

[0003] I p is the momentum compaction value, and its calculation formula is The qualified compaction vibration momentum P q is a fixed value. Therefore, the magnitude of I p is only determined by the peak value P c of the vertical vibration momentum within a single period. Due to the complexity and anisotropy of the soil properties, its error is relatively large. A typical solution using I p as the compaction degree index value is such as Patent CN115162309A. CMV is calculated based on the frequency spectrum analysis of the acceleration signal and is calculated by the ratio of the secondary harmonic and the fundamental wave amplitude. Its data discreteness is relatively large and the data stability is poor, and the detection accuracy needs to be improved; MDP is the net driving power index, and the calculation process is relatively complex and not convenient to use; k s is an index reflecting the soil stiffness, and its calculation process is cumbersome and not convenient to use; E vib is an index reflecting the soil elastic modulus, and its calculation process is cumbersome and not convenient to use; THD is calculated based on the frequency spectrum analysis of the acceleration signal, and is calculated by taking the square root after summing the squares of the amplitudes from the secondary harmonic to the Nth harmonic and then dividing by the fundamental wave amplitude. Its data discreteness is relatively large and the data stability is poor, and the detection accuracy needs to be improved.

[0004] The applicant submitted an application on November 29, 2022 with the application number CN202211515256.7 and the name "A Continuous Detection Method for Compaction Quality of Filling Projects Based on Momentum", using the momentum compaction value MCV as the continuous detection index, which overcomes most of the above problems. In subsequent research, it is found that there is still room for further improvement in its data stability and detection accuracy.

[0005] Therefore, based on this patent application, the present invention proposes a new continuous detection index to further optimize this patent application. Summary of the Invention

[0006] This invention is an improvement based on the patent application CN202211515256.7. The new continuous detection index proposed is the kinetic energy compaction value KECV. The detection method of this invention is ultimately based on the maximum positive kinetic energy increment. By using this index in the indirect method, it can reflect the spatial variability and the change of the energy absorbed by the soil mass, facilitating adjustments, and can further improve the data stability and detection accuracy to a certain extent while ensuring real-time continuous detection. Moreover, this invention also does not damage the filling body, and there is no need for major modifications to the equipment compared with the patent application CN202211515256.7.

[0007] To achieve the above object, the technical solution adopted by this invention is:

[0008] A continuous detection method for the compaction quality of a filling project based on the maximum positive kinetic energy increment, taking the kinetic energy compaction value KECV as the continuous detection index of the kinetic energy increment type compaction quality, and combining with the current position coordinates of the roller, continuously detecting the compaction quality of the filling project during the compaction construction process of the roller; the kinetic energy compaction value KECV is calculated by the following formula:

[0009]

[0010] Where, is the average value of the maximum positive kinetic energy of the vibrating wheel of the roller within N vibration cycles, and the maximum positive kinetic energy increment of the i-th vibration cycle refers to the maximum kinetic energy increment of the vibrating wheel when the vibrating wheel moves downward during this vibration cycle, and the formula expression is: is the maximum positive kinetic energy increment of the vibrating wheel of the i-th vibration cycle, i = 1, 2,..., N; is the kinetic energy when the speed is maximum during the contact process between the vibrating wheel moving downward and the soil mass within the i-th vibration cycle; is the kinetic energy at the starting point position of the vibrating wheel moving downward within the i-th vibration cycle.

[0011] In one embodiment, and are obtained by the following method:

[0012] During the compaction construction process, collect the vertical vibration signals generated when the vibrating wheel of the roller interacts with the soil mass;

[0013] Filter the vertical vibration signals and capture the speed peaks when the vibrating wheel moves downward within each vibration cycle.

[0014] In one embodiment, the speed peak is obtained by an adaptive peak detection algorithm, and the steps are as follows:

[0015] First, use an acceleration sensor to collect the vertical acceleration signal of the vibrating wheel in real time;

[0016] Secondly, for the acceleration signal, identify the transition point in the middle when transitioning from the positive half-cycle to the negative half-cycle within each period, that is k = 1, 3, 5, 7, …, 2m + 1, …; m is a positive integer greater than 3, and T is a period of the acceleration signal;

[0017] Then, perform area integration and summation on the positive half-cycle before the transition point, and the obtained value is the peak value of the velocity within each period;

[0018] Finally, extract the captured peak values in sequence.

[0019] In one embodiment, a control standard value is set When the real-time kinetic energy compaction value KECV is higher than the control standard value it is determined that the compaction quality of the current filling area meets the standard, otherwise it is determined as unqualified.

[0020] In one embodiment, the control standard value is calculated by a compaction quality regression model built into the compaction quality assessment method for the entire operation area;

[0021] The compaction quality regression model is constructed based on a sample data set composed of the kinetic energy compaction value KECV, filling material characteristic parameters, and measurement data obtained by conventional sampling point detection methods detected in previous on-site compaction tests. The filling material characteristic parameters are gradation and moisture content;

[0022] According to the prediction accuracy and usability of the compaction quality regression model, select the compaction quality regression model; according to the compaction quality control requirements of the project, if the compaction degree or dry density of the filling material is higher than the set threshold C s , substitute the C s value into the selected compaction quality regression model to calculate the corresponding kinetic energy compaction value KECV, which is the control standard value ]>

[0023] In one embodiment, the compaction quality assessment method for the entire operation area is implemented by a compaction quality regression model and the Green's spline interpolation method;

[0024] The formula of the compaction quality regression model is:

[0025] Model I: K = a1KECV + b1

[0026] Or, Model II: K = a2KECV + b2p + c or K = a2KECV + b2w + c

[0027] Or, Model III: K = a3KECV + b3p2 + c3p + d3 or K = a3KECV + b3w 2 + c3w + d3

[0028] Where K is the degree of compaction; a1, b1, a2, b2, c, a3, b3, c3, d3 are constant coefficients; p is the P5 content in the gradation; w represents the moisture content.

[0029] In one embodiment, the area determined to be unqualified is timely fed back to the driver in the form of a color-coded map through the on-board display terminal for supplementary rolling operation or auxiliary operation to improve the compaction quality; that is, when it is determined to be unqualified, the driver adjusts the number of rolling passes and performs supplementary rolling in the area with unqualified compaction quality until the kinetic energy compaction value KECV detected again is higher than the control standard value up to.

[0030] In one embodiment, according to the kinetic energy compaction value KECV and the current position coordinates of the roller, the rolling area is determined, and the compaction track, driving speed and number of rolling passes of the roller are analyzed and recorded. Taking the kinetic energy compaction value KECV as the compaction degree index value, a spatio-temporal compaction degree index distribution map of the rolling area during on-site filling and rolling operations is generated, and the spatio-temporal compaction degree index distribution map of the rolling area is synchronously displayed on the on-board display (5) of the roller and the display of the remote monitoring center.

[0031] Compared with the existing compaction quality detection equipment and technology for filling projects, especially with the patent application CN202211515256.7, since the present invention adopts a new continuous detection index, the kinetic energy compaction value KECV, based on the maximum positive kinetic energy increment, the detection method not only has the characteristics of contact type, continuity, real-time and low cost, but more importantly, it can better reflect the spatial variability when comparing and analyzing the compaction quality of different strips, and can also directly reflect the change degree of the energy absorbed by the soil body during compression.

[0032] The present invention is applicable to various scenarios defined by the patent application CN202211515256.7, such as continuous compaction detection and control of the compaction quality of different types of filling materials, real-time full working surface construction area detection of the compaction quality of the rolling layer, corresponding feedback control, remote control, joint construction control, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the forward movement of the vibrating wheel.

[0034] Figure 2 It is a schematic diagram of the work analysis of the vibrating wheel.

[0035] Figure 3 It is a schematic diagram of the hardware deployment principle of the present invention.

[0036] Figure 4 Acceleration signal diagram collected for this invention. Detailed implementation manners

[0037] The present invention will be further described in detail below in combination with the principles and embodiments of the detection system and method. The following embodiments and drawings are used to illustrate the specific implementation process of the continuous detection system and method for the compaction quality of filling projects based on the maximum positive kinetic energy increment proposed by the present invention, but are not used to limit the scope of the present invention.

[0038] Compared with the patent application CN202211515256.7, the present invention conducts continuous detection of the compaction quality of filling projects based on the maximum positive kinetic energy increment. Taking the kinetic energy compaction value KECV as the continuous detection index of kinetic energy increment type compaction quality, combined with the current position coordinates of the roller, during the compaction construction process of the roller, continuous detection of the compaction quality of the filling project is carried out.

[0039] Since during the compaction construction process, the process of the interaction between the vibrating wheel of the roller and the soil mass is a process of dynamic energy conversion. Therefore, when the vibrating wheel moves downward (in the present invention, downward is defined as the positive direction), during the contact with the soil mass, the exciting force and the vertical load of the vibrating wheel do work, and the soil mass is compressed to absorb energy.

[0040] Specifically:

[0041] 1) The compaction work done by the vibrating wheel during a single vibration cycle from the highest position downward until reaching the maximum positive kinetic energy is E1

[0042] According to vibration theory, the force acting on the roller in the vertical direction during vibration is:

[0043] P = W + Fsinω (1)

[0044] In the formula, W is the radial load of the vibrating wheel; F is the exciting force during vibration; ω is the angular velocity of the vibrating wheel.

[0045] Figure 1 Illustrates the process of the vibrating wheel 6 performing compaction construction on the filling body 11. From Figure 1 and Figure 2 it can be seen that during vibration, due to the damping effect, the vibrating wheel falls from the highest point at time t1, passes through the ground K of the filling layer at time t2, and reaches position M at time t3. At this time, the positive kinetic energy increment of the vibrating wheel 6 is the largest. Therefore, the compaction work done by the vibrating wheel during a single vibration cycle from the highest position downward until reaching the maximum positive kinetic energy can be expressed as:

[0046]

[0047] In the formula, A is the working amplitude of the vibrating wheel; where to and to During the downward movement of the vibrating wheel from the highest position, the kinetic energy continuously increases until the maximum positive kinetic energy increment is reached at position M, and then it decreases to 0 until position N.

[0048] On the other hand, when the vibration frequency of the vibrating wheel is above 30 Hz, the phase difference can be approximated as π / 2, and the compaction work done by the vibrating wheel during the process of reaching the maximum positive kinetic energy can be simplified as:

[0049]

[0050] The magnitude of the excitation force can be calculated through the excitation force frequency, that is:

[0051]

[0052] In the formula, f 额 , F 额 are respectively the rated excitation force frequency and the excitation force corresponding to the output state of the roller, and these two parameters are determined by the roller model.

[0053] 2) The energy E2 absorbed by the soil body being compressed

[0054] The energy absorbed by the soil body being compressed can be simplified as the viscous energy absorption of the Kelvin model, that is:

[0055]

[0056] In the formula, σ s is the stress amplitude; ω s is the angular velocity of the fill soil vibration; E is the composite elastic modulus of the fill soil; η is the composite viscosity coefficient of the fill soil.

[0057] It can be known from relevant literature that the compaction degree and water content have little influence on the stress amplitude σ s , the angular velocity ω s of the fill soil vibration, and the viscosity coefficient η of the fill soil, and remain unchanged; in addition, with the increase of the number of rolling passes, the elastic modulus E gradually increases, and the volume of the soil body in the same filling layer gradually decreases. Based on the above analysis, it can be known that with the increase of the number of rolling passes, E2 gradually decreases.

[0058] 3) The maximum positive kinetic energy increment E3 of the vibrating wheel during vibration

[0059] In a single vibration cycle, when the vertical acceleration decreases from the maximum to zero, the vibrating wheel descends from the highest point to a certain position inside the soil body. During this process, the positive kinetic energy increment of the vibrating wheel reaches the maximum, that is:

[0060] E3 = ΔW = E k2 -Ek1 (6)

[0061] In the formula, E k2 is the kinetic energy at the maximum speed during the contact process between the vibrating wheel and the soil during the downward movement of the vibrating wheel within a single vibration period; E k1 is the kinetic energy at the starting point position of the downward movement of the vibrating wheel within a single vibration period.

[0062] According to existing research, for primary geological materials such as soil and rock, the energy consumption of sound, light, and heat generated under dynamic load impact can be ignored. According to the law of conservation of energy:

[0063] E1 = E2 + E3 (7)

[0064] As can be seen from the above, when E1 is constant, as the number of rolling passes increases, E2 gradually decreases and E3 will gradually increase correspondingly. Therefore, it can reflect the changes in soil stiffness and compaction quality to a certain extent. The compaction quality detection method based on the maximum positive kinetic energy increment of the present invention is proposed based on the above principle.

[0065] The maximum positive kinetic energy increment is the maximum kinetic energy increment of the vibrating wheel during the downward movement of the vibrating wheel within each vibration period. For the i-th vibration period, its maximum positive kinetic energy increment The formula is as follows:

[0066]

[0067] Among them, is the maximum positive kinetic energy increment of the vibrating wheel in the i-th vibration period, i = 1, 2,..., N; is the kinetic energy at the maximum speed during the contact process between the vibrating wheel and the soil during the downward movement of the vibrating wheel in the i-th vibration period; is the kinetic energy at the starting point position of the downward movement of the vibrating wheel in the i-th vibration period.

[0068] S3. Calculate the kinetic energy compaction value KECV (Kinetic Energy Compaction Value), and the formula is as follows:

[0069]

[0070] Among them, is the average value of the maximum positive kinetic energy of the vibrating wheel in N vibration periods.

[0071] In the present invention Figure 3A hardware deployment structure for implementing a complete detection process is shown. This part of the structure is basically the same as that in patent application CN202211515256.7. That is, the detection system 10 mainly includes a vibration sensor 1, a data acquisition instrument 2, an industrial control computer 3, a GPS / BDS receiver 4, an on-board display 5, and a power supply system 9, etc. These components are all installed on the roller 8.

[0072] Exemplarily, the vibration sensor 1 is fixedly installed on the fixed bracket 7 directly connected to the vibration wheel 6. This fixed bracket 7 can be the connection bracket between the vibration motor or vibration pump of the roller and the roller shaft. Information transmission and power supply support are achieved through wired communication between the vibration sensor 1 and the data acquisition instrument 2; the signal conditioning processing performed by the data acquisition instrument 2 includes amplification and filtering to convert the signal into a standard signal that the industrial control computer 3 can recognize, analyze, and store; the data acquisition instrument 2 and the industrial control computer 3 are connected by a wired communication method, and the data acquisition instrument 2 transmits the synchronously collected spatial position signal of the roller and the vertical vibration signal of the vibration wheel to the industrial control computer 3; the industrial control computer 3 also obtains and displays on-site information including driving speed, number of rolling passes, rolling trajectory, and current rolling layer elevation information.

[0073] That is, the signals collected in the present invention can be the same as those in patent application CN202211515256.7. The key of the present invention lies in the subsequent processing of the signals.

[0074] Reference Figure 3 , the complete detection process is described as follows:

[0075] Step 1, use the vibration sensor 1 to obtain the vertical vibration signal generated when the vibration wheel interacts with the soil during the rolling construction process. At the same time, use the GPS / BDS receiver 4 to obtain the spatial position signal related to the rolling position, which is related to the analysis of the compaction trajectory, driving speed, and number of rolling passes of the roller; use the data acquisition instrument 2 to synchronously collect the vertical vibration signal and the spatial position signal related to the rolling position, and transmit them to the industrial control computer 3.

[0076] In this embodiment, the vibration sensor 1 used is an acceleration sensor, which real-time collects the vertical acceleration signal of the vibration wheel.

[0077] Step 2, in the industrial control computer 3, filter the vertical vibration signal and capture the speed peak when the vibration wheel moves downward during each vibration cycle. Thus, according to the kinetic energy formula Calculate And where m is the mass of the vibration wheel of the roller, and v(t) is the vertical vibration speed of the vibration wheel. Thus, the maximum positive kinetic energy of the vibration wheel within each vibration cycle is obtained, and then the kinetic energy compaction value KECV is calculated, which can characterize and reflect the real-time compaction quality of the current filling and rolling area.

[0078] In an embodiment of the present invention, the speed peak value is obtained through an adaptive peak detection algorithm, and the steps are as follows:

[0079] Reference Figure 4 , for the collected vertical acceleration signal, identify the transition point in the middle when transitioning from the positive half-cycle (the shaded area in each cycle as shown in the figure) to the negative half-cycle within each cycle, that is where m is a positive integer greater than 3, and T is a period of the acceleration signal. Then, perform area integration and summation on the positive half-cycle before the transition point, and the obtained value is the peak value of the speed within each cycle; finally, sequentially extract the captured peak values of the speed.

[0080] Step 3, in the industrial control computer 3, according to the spatial position signal, determine the rolling area and analyze and record the compaction track, driving speed, and number of rolling passes of the roller. Take the kinetic energy compaction value KECV as the compaction degree index value to form a spatio-temporal compaction degree index distribution map of the rolling area. The kinetic energy compaction value KECV and the spatial position information of the roller can be stored in real time in the industrial control computer 3, facilitating real-time data access and online monitoring and analysis.

[0081] In this embodiment, the specific method for forming the spatio-temporal compaction degree index distribution map of the rolling area is as follows:

[0082] 1) Set the lateral side of the filling and rolling construction area as the horizontal axis of the kinetic energy compaction value KECV distribution map, and the vertical side as the vertical axis of the kinetic energy compaction value KECV distribution map, in meters;

[0083] 2) Fill the rolling area with the compaction track and the number of rolling passes of the roller calculated according to the real-time spatial position information of the roller given by the RTK-BDS high-precision differential positioning system of the roller, and display them in the form of a 2D cloud map respectively;

[0084] 3) According to the real-time spatial position information of the roller given by the RTK-BDS high-precision differential positioning system of the roller, combined with the real-time calculated kinetic energy compaction value KECV, use the color mapping method to map it to the rolling area in real time, and display the spatio-temporal compaction degree index distribution map in the form of a 2D or 3D cloud map.

[0085] Among them, the method for forming the 2D cloud map can be as follows:

[0086] Grade the kinetic energy compaction value KECV at a certain interval, map the graded kinetic energy compaction value KECV from large to small to the colors from light color system to dark color system one by one, and fill the color obtained after mapping into the rolling area to form a 2D cloud map;

[0087] The method for forming the 3D cloud map can be as follows:

[0088] Based on the 2D cloud map, the elevation information at the location of the kinetic energy compaction value KECV is mapped to the Z-axis direction of the three-dimensional coordinate system, and together with the 2D map of the spatio-temporal compaction index distribution formed by the horizontal axis and the vertical axis, a 3D cloud map is constituted.

[0089] Step 4, the distribution map of the spatio-temporal compaction index of the rolling area is displayed in real time on the on-board display 5 and can be synchronously displayed at the remote monitoring center.

[0090] The present invention can further implement the feedback control of the on-site rolling and filling operation through the feedback control module integrated in the industrial control computer 3. The feedback control module provides feedback information on the compaction operation situation to the rolling machine operator and the on-site supervision personnel, so that the relevant personnel can take effective measures to improve the compaction quality of the filling project. Specifically, a control standard value is set When the real-time kinetic energy compaction value KECV is higher than the control standard value it is determined that the compaction quality of the current filling area meets the standard, otherwise it is determined as unqualified. Among them, the area determined as unqualified is timely fed back to the driver in the form of a color-coded map through the on-board display terminal for supplementary rolling operation or auxiliary operation to improve the compaction quality; that is, when it is determined as unqualified, the driver adjusts the number of rolling passes and performs supplementary rolling in the area where the compaction quality is unqualified until the detected kinetic energy compaction value KECV is higher than the control standard value until.

[0091] In the embodiment of the present invention, the control standard value is calculated by the compaction quality regression model built into the full-operation area compaction quality assessment method. The existing full-operation area compaction quality assessment method is realized by the compaction quality regression model and the Kriging interpolation method; however, practical application research shows that the Kriging interpolation has the following deficiencies: the data samples must be sufficient, otherwise it will greatly affect the accuracy of the results; the calculation steps are cumbersome and the calculation amount is large; the variogram needs to be manually selected according to experience, and the variogram and its model fitting have a greater impact on the accuracy of the Kriging interpolation results.

[0092] Based on this, the full-operation area compaction quality assessment method proposed by the present invention is realized by the compaction quality regression model and the Green's spline interpolation method. The compaction quality regression model is constructed according to the sample data group detected by the on-site rolling test in the early stage, which consists of the kinetic energy compaction value KECV, or the kinetic energy compaction value KECV and the filling material characteristic parameters (grading and moisture content), or the kinetic energy compaction value KECV, the filling material characteristic parameters and the measurement data of the conventional sampling point detection method.

[0093] In the three cases, the formulas of the compaction quality regression model are respectively:

[0094] Model I: K = a1KWCV + b1

[0095] Or, Model II: K = a2KECV + b2p + c or K = a2KECV + b2w + c

[0096] Or, Model III: K = a3KECV + b3p 2 + c3p + d3 or K = a3KECV + b3w 2 + c3w + d3

[0097] Where K is the degree of compaction; a1, b1, a2, b2, c, a3, b3, c3, d3 are constant coefficients; p is the P5 content in the gradation; w represents the water content.

[0098] According to the prediction accuracy and usability of the compaction quality regression model, one of Model I, Model II and Model III is selected as the compaction quality regression model. And, according to the compaction quality control requirements of the project, if the degree of compaction or dry density of the filling material is higher than the set threshold C s , substitute the value of C s into the selected compaction quality regression model to calculate the corresponding kinetic energy compaction value KECV, which is the control standard value.

[0099] The on-board display 5 can use the built-in feedback control module to provide feedback information on the compaction operation to the roller operator and on-site supervisors, so that relevant personnel can take effective measures to improve the compaction quality of the filling layer. The built-in feedback control module can be integrated with the unmanned compaction module or the intelligent decision-making model alone or simultaneously to form an unmanned compaction system or an intelligent compaction system; further, the multi-machine cooperative operation control method can be integrated to achieve the cooperative and efficient compaction operation of the unmanned roller fleet or the intelligent roller fleet through the built-in feedback control module.

[0100] The present invention conducts compaction quality detection and control for the filling project based on the maximum positive kinetic energy increment method, and realizes its function based on the newly designed vibration signal acquisition and processing system. The compaction quality of the filling project is detected according to the following steps:

[0101] According to the specifications, standards and on-site construction requirements, sampling points are taken for detection within the rolling construction operation area using conventional detection methods to measure the actual compaction quality of the rolling construction area. After comparison with the kinetic energy compaction value KECV calculated by the system of the present invention, there is a close correlation. In addition, compared with the patent application CN202211515256.7 which uses the momentum compaction value MCV as a continuous detection index, MCV is an instantaneous value, while the present invention is a process value. This enables the index proposed by the present invention to directly reflect the degree of change in the energy absorbed by the soil body during compression; the momentum compaction value is obtained based on the law of conservation of momentum, which is based on the invariance of space translation, while the index proposed by the present invention is obtained based on the law of conservation of energy, and this conservation of energy is based on the invariance of time translation. Therefore, the index proposed by the present invention has better spatial variability when comparing the compaction quality of different strips. Thus, the continuous detection technology for the compaction quality of filling projects based on the maximum positive kinetic energy increment proposed by the present invention has the characteristics of being contactless, continuous, real-time, highlighting spatial variability, directly reflecting the change in the energy absorbed by the soil body during compression, low cost, easy to use, etc. It is very suitable for the continuous compaction quality detection and control of filling projects. By feedback controlling the vibration frequency and vibration amplitude of the vibrating wheel of the roller, it is also easy to achieve the intelligent continuous compaction function, which is convenient for the filling roller construction operators and on-site supervisors to detect problems in a timely manner, and is also convenient for integration with the remote monitoring center for remote management personnel or the owner to monitor and manage the on-site filling construction operation, improving the compaction quality and construction efficiency of the rolling construction operation, and ultimately ensuring the filling quality and construction efficiency of projects such as highways, railways, airports, and dams.

Claims

1. A continuous detection method for the compaction quality of filling projects based on the maximum positive kinetic energy increment, characterized in that: The kinetic energy compaction value KECV is used as a continuous detection indicator of kinetic energy incremental compaction quality. Combined with the current position coordinates of the roller, the compaction quality of the filling project is continuously detected during the roller's compaction operation. The kinetic energy compaction value KECV is calculated using the following formula: in, is the average value of the maximum positive kinetic energy of the vibrating wheel of the roller in N vibration cycles, and the maximum positive kinetic energy increment of the i-th vibration cycle Refers to the maximum kinetic energy increment of the vibration wheel when it moves downward during the vibration cycle. The formula is: is the maximum positive kinetic energy increment of the vibration wheel in the i-th vibration cycle, i=1,2,…,N; is the kinetic energy of the vibration wheel at its maximum speed when in contact with the soil during the downward movement of the vibration wheel in the i-th vibration cycle; is the kinetic energy of the starting point of the downward movement of the vibration wheel in the i-th vibration cycle, and Obtain it through the following methods: During the compaction process, the vertical vibration signal generated by the interaction between the vibrating wheel of the roller and the soil is collected; Filtering the vertical vibration signal and capturing the velocity peak of the vibration wheel when it moves downward in each vibration cycle; Setting control standard values When the real-time kinetic energy compaction value KECV is higher than the control standard value When the compaction quality of the current filling area is determined to be up to standard, otherwise it is determined to be unqualified; The control standard value Calculated by a compaction quality regression model built into the full-operation-area compaction quality assessment method; the full-operation-area compaction quality assessment method is implemented by the compaction quality regression model and Green's spline interpolation method; The compaction quality regression model is constructed based on a sample data set consisting of kinetic energy compaction value (KECV), fill material characteristic parameters, and measurement data from conventional sampling point detection methods detected in the previous on-site rolling test. The fill material characteristic parameters are gradation and moisture content. The formula of the compaction quality regression model is: Model I: K = a1KECV + b1 Or, Model II: K = a2KECV + b2p + c or k = a2KECV + b2w + c Or, model III: K=a3KECV+b3p 2 +c3p+d3 or K=a3KECV+b3w 2 +c3w+d3 Among them, K is the compaction degree; a1, b1, a2, b2, c, a3, b3, c3, and d3 are constant coefficients; p is the P5 content in the grading; and w represents the moisture content.

2. The continuous detection method for compaction quality of filling engineering based on maximum positive kinetic energy increment according to claim 1 is characterized in that: The velocity peak is obtained by an adaptive peak detection algorithm, the steps are as follows: First, the acceleration sensor is used to collect the vertical acceleration signal of the vibration wheel in real time; Secondly, for the acceleration signal, identify the transition point in the middle when the positive half cycle transitions to the negative half cycle in each cycle, that is, k=1,3,5,7,…,2m+1,…; m is a positive integer greater than 3, and T is a period of the acceleration signal; Then, the area integral of the positive half cycle before the transition point is summed up, and the value obtained is the peak value of the velocity in each cycle; Finally, the captured peak values are extracted one by one.

3. The continuous detection method for compaction quality of filling engineering based on maximum positive kinetic energy increment according to claim 1 is characterized in that: The compaction quality regression model is selected based on its prediction accuracy and ease of use; according to the compaction quality control requirements of the project, if the compaction degree or dry density of the filling material is higher than the set threshold C s , C s Substitute the value into the selected compaction quality regression model to calculate the corresponding kinetic energy compaction value KECV, which is the control standard value.

4. The method for continuous detection of compaction quality of filling engineering based on maximum positive kinetic energy increment according to claim 1 is characterized in that: The areas judged as unqualified will be promptly fed back to the driver in the form of color-coded diagrams through the onboard display terminal for additional rolling operations or assistance in improving the compaction quality. That is, when it is judged as unqualified, the driver adjusts the number of rolling passes and performs additional rolling in the area with unqualified compaction quality until the kinetic energy compaction value KECV detected again is higher than the control standard value until.

5. The continuous detection method for compaction quality of filling engineering based on maximum positive kinetic energy increment according to claim 1 is characterized in that: According to the kinetic energy compaction value KECV and the current position coordinates of the roller, the rolling area is determined and the compaction trajectory, driving speed and rolling number of the roller are analyzed and recorded. The kinetic energy compaction value KECV is used as the compaction index value to generate a time-space compaction index distribution map of the rolling area during the on-site filling and rolling operation. The time-space compaction index distribution map of the rolling area is synchronously displayed on the onboard display (5) of the roller and the display of the remote monitoring center.

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