Effective acceleration signal acquisition method and system for calculating intelligent compaction index

Abstract

The invention belongs to the field of road engineering, and provides an effective acceleration signal acquisition method and system for calculating an intelligent compaction index, and the method comprises the steps: obtaining an acceleration signal, and determining the periodic frequency and the total number of discrete points of the acceleration signal; determining the number of integer cycles in the acceleration signal based on the total number of discrete points and the cycle frequency of the acceleration signal; determining the abscissa of the last integer period according to the number of the integer periods and the period frequency of the acceleration signal; according to the difference value between the vertical coordinates of two points closest to the vertical coordinates corresponding to the horizontal coordinates of the last integer period and the vertical coordinates of the starting point in the acceleration signal, selecting the vertical coordinate with the minimum value as the vertical coordinate of the last point in the acceleration signal, namely the vertical coordinate of the terminal point in the acceleration signal; and all discrete point sets between the abscissa of the starting point and the abscissa corresponding to the ordinate of the last point in the acceleration signal are extracted as effective acceleration signals, so that the accuracy of calculating the intelligent compaction index can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of road engineering, and in particular relates to an effective acceleration signal acquisition method and system for calculating intelligent compaction indicators. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Compaction is the last key link in road construction in road engineering and municipal engineering, and it is also the most important link. Compaction can significantly improve the strength, stiffness and stability of the road, thereby improving the road performance and meeting the functional requirements of the road infrastructure. However, the traditional road compaction and final compaction detection methods have the following problems: (1) The construction process is not standardized. During the construction process of road compaction, the traditional compaction process often follows the existing process and relies on the experience of the roller operator to control the entire process, such as the speed and trajectory of the roller; (2) The compaction detection method has a lag. The traditional compaction detection process is carried out after the road compaction is completed, so it lags behind the entire compaction process; (3) The compaction detection method is destructive. Traditional compaction detection methods, such as sand filling method, ring knife method, etc., will cause damage to the compacted road; (4) The compaction detection method has the limitation of the detection point. Traditional compaction detection methods are all aimed at the detection of a certain point, which has the limitation of spatial area.

[0004] Since road compaction is an important process and the traditional compaction process has the above-mentioned shortcomings, intelligent compaction and continuous detection technology came into being. Intelligent compaction technology is to install corresponding sensors on the roller to obtain vibration response signals and then calculate the compaction degree in real time. Since the compaction degree detection principles of intelligent compaction technology and traditional compaction technology are different, it is inevitable that intelligent compaction technology must have matching intelligent compaction indicators. Intelligent compaction indicators can significantly improve the shortcomings of traditional compaction degree detection methods.

[0005] However, since intelligent compaction technology is an emerging technology, the intelligent compaction index is an index for evaluating the compaction quality when using intelligent compaction technology for road construction and compaction. The calculation of the intelligent compaction index is to identify the characteristics of the vertical acceleration signal during the road compaction process, and then evaluate the current compaction quality. There are three types of intelligent compaction indicators that are widely used, namely: harmonic ratio indicators, modulus indicators, and energy indicators. The calculation of the above three types of indicators must be based on the acquisition of integer valid vertical acceleration signals. Therefore, obtaining an integer period valid acceleration signal is the basis for calculating the intelligent compaction index. However, there are still some problems in the calculation of the intelligent compaction index. The most basic problem is that the original acceleration data for the existing calculation of the intelligent compaction index has a non-integer period problem, which results in the acceleration signal for the current calculation of the intelligent compaction index being a non-valid signal, thereby reducing the accuracy of the intelligent compaction index and making it impossible to reflect the advanced nature of the intelligent compaction calculation. Summary of the invention

[0006] In order to solve the above problems, the present invention proposes an effective acceleration signal acquisition method and system for calculating intelligent compaction indicators. The present invention intends to provide an integer periodic processing method for the key data for calculating the existing intelligent compaction indicators - acceleration data, so as to improve the accuracy of calculating the intelligent compaction indicators.

[0007] According to some embodiments, a first solution of the present invention provides an effective acceleration signal acquisition method for calculating an intelligent compaction index, which adopts the following technical solution:

[0008] The effective acceleration signal acquisition method for calculating the intelligent compaction index includes:

[0009] Acquire the acceleration signal, and determine the periodic frequency and the total number of discrete points of the acceleration signal;

[0010] determining the number of integer cycles in the acceleration signal based on the total number of discrete points of the acceleration signal and the cycle frequency;

[0011] Determine the abscissa of the last integer period according to the number of integer periods and the period frequency of the acceleration signal;

[0012] According to the difference between the ordinates of the two discrete points whose ordinates correspond to the nearest ordinates of the abscissa of the last integer period and the ordinate of the starting point in the acceleration signal, the smallest one between the two is selected as the ordinate of the last discrete point in the acceleration signal, that is, the ordinate of the end point in the acceleration signal;

[0013] A set of all discrete points between the abscissa of the starting point and the abscissa corresponding to the ordinate of the last discrete point in the acceleration signal is extracted as a valid acceleration signal.

[0014] Further, the number of integer cycles in the acceleration signal is determined based on the total number of discrete points and the periodic frequency of the acceleration signal, specifically:

[0015]

[0016] Where: x is the total number of discrete points of the acceleration signal, f is the periodic frequency of the acceleration signal, N is the number of integer periods, is the rounding function.

[0017] Furthermore, the abscissa of the last integer period is determined according to the number of integer periods and the periodic frequency of the acceleration signal, specifically:

[0018] X = Nf;

[0019] Where: N is the number of integer cycles; f is the periodic frequency of the acceleration signal, and X is the abscissa of the Nth integer cycle, that is, the abscissa of the last integer cycle.

[0020] Furthermore, the difference between the ordinates of the two discrete points whose ordinates are closest to the horizontal coordinates of the last integer period and the ordinate of the starting point in the acceleration signal is selected as the ordinate of the last discrete point in the acceleration signal, specifically:

[0021] Y=Min[Y 1 -Y 0 : Y 2 -Y 0 ];

[0022] Where: Y is the ordinate of the last discrete point selected in the acceleration signal; Y0 is the ordinate of the first discrete point in the acceleration signal, that is, the ordinate of the starting point in the acceleration signal; Y1 and Y2 are the ordinates of the two discrete points closest to the ordinate corresponding to the abscissa X of the Nth integer period.

[0023] Furthermore, the acceleration signal is the vertical acceleration of the center position of the vibration wheel during the road compaction process.

[0024] Furthermore, the effective acceleration signal includes all discrete points of the acceleration signal cycle required for calculating the intelligent compaction index.

[0025] According to some embodiments, a second solution of the present invention provides an effective acceleration signal acquisition system for calculating intelligent compaction indicators, which adopts the following technical solutions:

[0026] An effective acceleration signal acquisition system for calculating intelligent compaction indicators, including:

[0027] The frequency and discrete point determination module is configured to obtain the acceleration signal and determine the periodic frequency and the total number of discrete points of the acceleration signal;

[0028] An integer cycle number determination module is configured to determine the number of integer cycles in the acceleration signal based on the total number of discrete points and the cycle frequency of the acceleration signal;

[0029] An integer period abscissa determination module, configured to determine the abscissa of the last integer period according to the number of integer periods and the period frequency of the acceleration signal;

[0030] The module for determining the ordinate of the end point is configured to select the smallest difference between the ordinates of the two discrete points whose ordinates correspond to the nearest ordinates of the abscissa of the last integer period and the ordinate of the starting point in the acceleration signal as the ordinate of the last discrete point in the acceleration signal, that is, the ordinate of the end point in the acceleration signal;

[0031] The effective acceleration signal determination module is configured to extract all discrete point sets between the abscissa of the starting point and the abscissa corresponding to the ordinate of the last discrete point in the acceleration signal as the effective acceleration signal.

[0032] According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium.

[0033] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the effective acceleration signal acquisition method for calculating an intelligent compaction index as described in the first aspect above.

[0034] According to some embodiments, a fourth aspect of the present invention provides a computer device.

[0035] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the effective acceleration signal acquisition method for calculating intelligent compaction indicators as described in the first aspect above are implemented.

[0036] According to some embodiments, a fifth aspect of the present invention provides a computer program product or a computer program.

[0037] The present invention provides a computer program product or a computer program, the computer program product or the computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the steps in the effective acceleration signal acquisition method for calculating the intelligent compaction index as described in the first aspect above.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention provides a simple method for obtaining integer-period acceleration signals. Since the intelligent compaction technology has been rapidly developed in recent years, the research on the corresponding intelligent compaction indicators is not yet mature. Therefore, there are even fewer studies on the acceleration data processing methods for the basic calculation of intelligent compaction indicators, resulting in a relative blank in the effective processing of acceleration signals. Based on the clarification of the data requirements for calculating the intelligent compaction indicators, the present invention comes to the conclusion that integer-period acceleration signals should be provided as data sources for the intelligent compaction indicators. Therefore, a simple method for obtaining integer-period acceleration signals is proposed, thereby realizing the effective processing of the data source, thereby improving the accuracy of the intelligent compaction indicators. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0041] Figure 1 It is a flow chart of a method for obtaining an effective acceleration signal for calculating an intelligent compaction index in an embodiment of the present invention;

[0042] Figure 2 It is an explanatory diagram of a test example in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0045] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0046] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0047] Embodiment 1

[0048] like Figure 1As shown, this embodiment provides an effective acceleration signal acquisition method for calculating intelligent compaction indicators. This embodiment uses the method applied to a server as an example. It can be understood that the method can also be applied to a terminal, and can also be applied to a terminal, a server, and a system, and is implemented through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communications, middleware services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in this application. In this embodiment, the method includes the following steps:

[0049] Acquire the acceleration signal, and determine the periodic frequency and the total number of discrete points of the acceleration signal;

[0050] determining the number of integer cycles in the acceleration signal based on the total number of discrete points of the acceleration signal and the cycle frequency;

[0051] Determine the abscissa of the last integer period according to the number of integer periods and the period frequency of the acceleration signal;

[0052] According to the difference between the ordinates of the two discrete points whose ordinates correspond to the nearest ordinates of the abscissa of the last integer period and the ordinate of the starting point in the acceleration signal, the smallest one between the two is selected as the ordinate of the last discrete point in the acceleration signal, that is, the ordinate of the end point in the acceleration signal;

[0053] A set of all discrete points between the abscissa of the starting point and the abscissa corresponding to the ordinate of the last discrete point in the acceleration signal is extracted as a valid acceleration signal.

[0054] The method of determining the number of integer cycles in the acceleration signal based on the total number of discrete points and the periodic frequency of the acceleration signal is specifically:

[0055]

[0056] Where: x is the total number of discrete points of the acceleration signal, f is the periodic frequency of the acceleration signal, N is the number of integer periods, It is a rounding function that takes only the integer part of the result number.

[0057] The abscissa of the last integer cycle is determined according to the number of integer cycles and the cycle frequency of the acceleration signal, specifically:

[0058] X=Nf (2);

[0059] Where: N is the number of integer cycles; f is the periodic frequency of the acceleration signal; X is the abscissa of the Nth integer cycle, that is, the abscissa of the last integer cycle; the periodic frequency f generally needs to be greater than 600 Hz.

[0060] The method selects the smallest difference between the ordinates of the two discrete points whose ordinates are closest to the horizontal coordinates of the last integer cycle and the ordinate of the starting point in the acceleration signal as the ordinate of the last discrete point in the acceleration signal, specifically:

[0061] Y=Min[Y 1 -Y 0 : Y 2 -Y 0 ] (3);

[0062] Where: Y is the ordinate of the last discrete point selected in the acceleration signal; Y0 is the ordinate of the first discrete point in the acceleration signal, that is, the ordinate of the starting point in the acceleration signal; Y1 and Y2 are the ordinates of the two discrete points closest to the ordinate corresponding to the abscissa X of the Nth integer period.

[0063] The acceleration signal is the vertical acceleration of the center position of the vibrating wheel during the road compaction process, and can be obtained through indoor / field tests or numerical simulation results.

[0064] The effective acceleration signal includes all discrete points of the acceleration signal cycle required for calculating the intelligent compaction index.

[0065] This embodiment provides an integer cycle processing method for acceleration data, which can significantly improve the accuracy of the original data of the calculated intelligent compaction index, thereby extracting valid data and further improving the accuracy of the calculated intelligent compaction index; in addition, certain functions of the acceleration sensor are also specified, such as the acquisition frequency.

[0066] Test example

[0067] Step 1: The frequency f of the acceleration data in the test example is 16Hz. For the purpose of picture display, f=16Hz here. If the frequency is increased to above 600Hz, it is not convenient for intuitive description of the picture. The principle of extracting integer periodic signals is the same for different frequencies, or it can be considered that the displayed picture only shows 1 point for every 100 acceleration data points, and the corresponding frequency is 1600Hz.

[0068] Step 2: The total number of discrete points in the test case is 168.

[0069] Step 3: Calculate the number of integer cycles in the acceleration signal N=10 using equation (1).

[0070] Step 4: Determine the abscissa X of the 10th integer period, that is, the abscissa of discrete point 1, by using equation (2).

[0071] Step 5: Determine that the two points adjacent to point 1 are discrete point 2 and discrete point 3, and substitute their ordinates (the ordinate of discrete point 2 is Y1, the ordinate of discrete point 3 is Y2, and the ordinate of discrete point 1 is Y0) into equation (3), and determine that the ordinate of the last discrete point in the acceleration signal is Y. Therefore, all discrete points between discrete point 0 and discrete point 2 are the discrete point data of integer cycles in this segment of acceleration signal, as shown in Figure 2 shown.

[0072] Embodiment 2

[0073] This embodiment provides an effective acceleration signal acquisition system for calculating intelligent compaction indicators, including:

[0074] The frequency and discrete point determination module is configured to obtain the acceleration signal and determine the periodic frequency and the total number of discrete points of the acceleration signal;

[0075] An integer cycle number determination module is configured to determine the number of integer cycles in the acceleration signal based on the total number of discrete points and the cycle frequency of the acceleration signal;

[0076] An integer period abscissa determination module is configured to determine the abscissa of the last integer period according to the number of integer periods in the acceleration signal and the period frequency of the acceleration signal;

[0077] The module for determining the ordinate of the end point is configured to select the smallest difference between the ordinates of the two discrete points whose ordinates correspond to the nearest ordinates of the abscissa of the last integer period and the ordinate of the starting point in the acceleration signal as the ordinate of the last discrete point in the acceleration signal, that is, the ordinate of the end point in the acceleration signal;

[0078] The effective acceleration signal determination module is configured to extract all discrete point sets between the abscissa of the starting point and the abscissa corresponding to the ordinate of the last discrete point in the acceleration signal as the effective acceleration signal.

[0079] The examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment 1. It should be noted that the above modules as part of the system can be executed in a computer system such as a set of computer executable instructions.

[0080] The description of each embodiment in the above embodiments has different emphases. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0081] The proposed system can be implemented in other ways. For example, the system embodiment described above is only illustrative, and the division of the modules is only a logical function division. In actual implementation, there may be other division methods, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0082] Embodiment 3

[0083] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps in the effective acceleration signal acquisition method for calculating the intelligent compaction index as described in the first embodiment above are implemented.

[0084] Embodiment 4

[0085] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the effective acceleration signal acquisition method for calculating the intelligent compaction index as described in the first embodiment above are implemented.

[0086] Embodiment 5

[0087] This embodiment provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the steps in the effective acceleration signal acquisition method for calculating the intelligent compaction index described in the first embodiment.

[0088] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0089] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0090] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0091] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0092] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0093] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. An effective acceleration signal acquisition method for calculating intelligent compaction indicators, characterized in that: include: Acquire the acceleration signal, and determine the periodic frequency and the total number of discrete points of the acceleration signal; determining the number of integer cycles in the acceleration signal based on the total number of discrete points of the acceleration signal and the cycle frequency; Determine the abscissa of the last integer period according to the number of integer periods and the period frequency of the acceleration signal; According to the difference between the ordinates of the two discrete points whose ordinates correspond to the nearest ordinates of the abscissa of the last integer period and the ordinate of the starting point in the acceleration signal, the smallest one between the two is selected as the ordinate of the last discrete point in the acceleration signal, that is, the ordinate of the end point in the acceleration signal; A set of all discrete points between the abscissa of the starting point and the abscissa corresponding to the ordinate of the last discrete point in the acceleration signal is extracted as a valid acceleration signal.

2. The effective acceleration signal acquisition method for calculating the intelligent compaction index according to claim 1, characterized in that: The method of determining the number of integer cycles in the acceleration signal based on the total number of discrete points and the periodic frequency of the acceleration signal is specifically: Where: x is the total number of discrete points of the acceleration signal, f is the periodic frequency of the acceleration signal, N is the number of integer periods, is the rounding function.

3. The effective acceleration signal acquisition method for calculating intelligent compaction index according to claim 1, characterized in that: The abscissa of the last integer cycle is determined according to the number of integer cycles and the cycle frequency of the acceleration signal, specifically: X = Nf; Where: N is the number of integer cycles; f is the periodic frequency of the acceleration signal, and X is the abscissa of the Nth integer cycle, that is, the abscissa of the last integer cycle.

4. The effective acceleration signal acquisition method for calculating intelligent compaction index according to claim 1, characterized in that: The method selects the smallest difference between the ordinates of the two discrete points whose ordinates are closest to the horizontal coordinates of the last integer cycle and the ordinate of the starting point in the acceleration signal as the ordinate of the last discrete point in the acceleration signal, specifically: Y=Min[Y 1 -AND 0 :AND 2 -AND 0 ]; Where: Y is the ordinate of the last discrete point in the acceleration signal; Y0 is the ordinate of the first discrete point in the acceleration signal, that is, the ordinate of the starting point in the acceleration signal; Y1 and Y2 are the ordinates of the two discrete points closest to the ordinate corresponding to the abscissa X of the Nth integer period.

5. The effective acceleration signal acquisition method for calculating intelligent compaction index according to claim 1, characterized in that: The acceleration signal is the vertical acceleration of the center position of the vibrating wheel during the road compaction process.

6. The effective acceleration signal acquisition method for calculating intelligent compaction index according to claim 1, characterized in that: The effective acceleration signal includes all discrete points of the acceleration signal cycle required for calculating the intelligent compaction index.

7. An effective acceleration signal acquisition system for calculating intelligent compaction indicators, characterized in that: include: The frequency and discrete point determination module is configured to obtain the acceleration signal and determine the periodic frequency and the total number of discrete points of the acceleration signal; An integer cycle number determination module is configured to determine the number of integer cycles in the acceleration signal based on the total number of discrete points and the cycle frequency of the acceleration signal; An integer period abscissa determination module, configured to determine the abscissa of the last integer period according to the number of integer periods and the period frequency of the acceleration signal; The module for determining the ordinate of the end point is configured to select the smallest difference between the ordinates of the two discrete points whose ordinates correspond to the nearest ordinates of the abscissa of the last integer period and the ordinate of the starting point in the acceleration signal as the ordinate of the last discrete point in the acceleration signal, that is, the ordinate of the end point in the acceleration signal; The effective acceleration signal determination module is configured to extract all discrete point sets between the abscissa of the starting point and the abscissa corresponding to the ordinate of the last discrete point in the acceleration signal as the effective acceleration signal.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the effective acceleration signal acquisition method for calculating an intelligent compaction index as described in any one of claims 1 to 6 are implemented.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the effective acceleration signal acquisition method for calculating the intelligent compaction index as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program implements the steps in the effective acceleration signal acquisition method for calculating an intelligent compaction index as described in any one of claims 1 to 6.

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