An automatic drop hammer excitation device for high strain method foundation pile detection that is convenient for combined installation

Abstract

The present invention provides an automatic hammer-drop excitation device for high-strain method foundation pile detection that is convenient for combined installation, belonging to the technical field of land detection. Specifically, it includes: determining the hammer center deviation data of the hammer-drop of similar historical foundation piles under different excitation forces based on the analysis results of the historical excitation data of the hammer-drop of similar historical foundation piles, and determining the reliable excitation force in the excitation force based on the hammer center deviation data. Obtaining the displacement change data of the foundation pile under different numbers of hammer blows during the detection process under different reliable excitation forces, and determining the optimal excitation force in the reliable excitation force by combining the historical detection data under different displacement change amounts. Conducting excitation processing of the hammer-drop based on the optimal excitation force, and determining whether it is necessary to perform automatic adjustment processing of the hammer-drop excitation device according to the change situation of the excitation data under different adjacent numbers of hammer blows, thereby improving the accuracy of the foundation pile detection results of the high-strain method.

Description

Technical Field

[0001] The present invention belongs to the technical field of land detection, and particularly relates to an automatic drop hammer excitation device for high-strain method foundation pile detection that is convenient for combined installation. Background Art

[0002] The high-strain dynamic testing method for test piles is a dynamic testing method that uses a heavy hammer to impact the top of the pile. During the process of the impact pulse propagating downward along the pile body, sufficient relative displacement is generated between the pile and the soil to stimulate the soil resistance around the pile and the bearing capacity of the pile tip. Specifically, in the invention patent application CN202410846084.4, "A crawler-type high-strain hammering robot and method", through the crawler-type high-strain hammering robot and method, the intelligent detection of the integrity of high-strain pile foundations is realized, effectively reducing the labor intensity, improving the work efficiency, and at the same time improving the detection accuracy. However, the following technical problems are ignored:

[0003] When using the high-strain testing method for testing, there will inevitably be a certain deviation in the eccentricity of the heavy hammer at the top of the pile. Therefore, if the excitation device cannot be adjusted according to the test data of the high-strain testing method, the accuracy of the test results cannot be guaranteed.

[0004] In view of the above technical problems, the present invention proposes an automatic drop hammer excitation device for high-strain method foundation pile detection that is convenient for combined installation. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions:

[0006] To solve the above technical problems, the present invention provides to achieve the object of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, there is provided an automatic drop hammer excitation device for high-strain method foundation pile detection that is convenient for combined installation.

[0008] An automatic drop hammer excitation device for high-strain method foundation pile detection that is convenient for combined installation, including an excitation processing module, a data processing module, and a convenient disassembly module, is applied to an automatic drop hammer excitation method, specifically including:

[0009] S1: Perform excitation processing on the drop hammer according to a preset excitation force, determine the similarity between the detection data and historical detection data based on the analysis result of the detection data of the high-strain method of the foundation pile, and use the similarity to determine the similar historical foundation piles corresponding to the historical detection data;

[0010] S2: Determine the hammer center deviation data of the drop hammer of the similar historical foundation pile under different excitation forces based on the analysis result of the historical excitation data of the drop hammer of the similar historical foundation pile, and determine the reliable excitation force in the excitation force based on the hammer center deviation data;

[0011] S3 obtains displacement change data of the base pile under different hammering times during the detection under different reliable exciting forces, and determines the optimal exciting force in the reliable exciting forces by combining historical detection data under different displacement changes;

[0012] S4 performs exciting processing on the drop hammer based on the optimal exciting force, and determines whether to perform automatic adjustment processing on the exciting equipment of the drop hammer according to the change situation of the exciting data under different adjacent hammering times.

[0013] The beneficial effects of the present invention are as follows:

[0014] Based on the hammer center deviation data, the reliable exciting force in the exciting force is determined, thereby realizing the determination of the reliable exciting force from the perspective of the hammer center deviation situation during the exciting process, avoiding the technical problem of low accuracy of the base pile detection result by the high strain method caused by frequent hammer center deviation under the exciting force, improving the reliability of the exciting processing, and also laying a foundation for further determining the optimal exciting force in the reliable exciting force.

[0015] Determine whether to perform automatic adjustment processing on the exciting equipment of the drop hammer according to the change situation of the exciting data under different adjacent hammering times, improve the accuracy of the base pile detection result by the high strain method, realize the real-time detection of the situation where the hammer center has deviation during the exciting process through the change situation of the exciting data under different adjacent hammering times, and at the same time realize the automatic adjustment of the exciting equipment, improving the accuracy and reliability of the base pile detection result by the high strain method on the basis of ensuring the efficiency of the exciting processing.

[0016] A further technical solution is that the exciting processing module is responsible for performing the exciting processing on the drop hammer.

[0017] A further technical solution is that the data processing module is responsible for adjusting and analyzing the exciting force of the drop hammer.

[0018] A further technical solution is that the convenient disassembly module is responsible for assembling the exciting processing module, the data processing module and the drop hammer exciting equipment.

[0019] A further technical solution is that the preset exciting force is determined according to the tentative exciting force preset by the exciting equipment.

[0020] A further technical solution is that the similarity situation between the detection data and the historical detection data includes the historical detection base piles corresponding to different historical detection data and the feature similarity amount of the detection features of different historical detection data and the detection data.

[0021] A further technical solution lies in that the detection features include amplitude distribution features and frequency features.

[0022] A further technical solution lies in determining whether automatic adjustment processing of the exciting device for the drop hammer is required, specifically as follows:

[0023] Based on the variation of the exciting data at different adjacent hammering times, determine the variation of the characteristic similarity quantity of the detection features of the exciting data at different adjacent hammering times;

[0024] Based on the variation of the characteristic similarity quantity of the detection features of the exciting data at different adjacent hammering times, determine the number of times of detection feature variation;

[0025] Based on the proportion of the number of times of detection feature variation in the number of hammering times, determine the exciting anomaly coefficient of the drop hammer, and determine whether automatic adjustment processing of the exciting device for the drop hammer is required through the exciting anomaly coefficient.

[0026] A further technical solution lies in that when the exciting anomaly coefficient of the drop hammer is not within the preset anomaly coefficient range, it is determined that automatic adjustment processing of the exciting device for the drop hammer is required.

[0027] Other features and advantages will be described in the following specification, and partly will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0028] To make the above objectives, features and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given, and in conjunction with the accompanying drawings, the detailed description is as follows. Description of the Drawings

[0029] By referring to the drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0030] Figure 1 is a flowchart of an automatic drop hammer exciting device for high-strain method foundation pile detection that is convenient for combined installation;

[0031] Figure 2 is a flowchart of a method for determining similar historical foundation piles;

[0032] Figure 3 is a flowchart of a method for determining reliable exciting force in the exciting force;

[0033] Figure 4 is a flowchart of a method for determining the preferred exciting force in the reliable exciting force. Detailed Embodiments

[0034] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. Like reference numerals in the figures denote like or similar structures, and thus their detailed description will be omitted.

[0035] The terms "a", "an", "the", and "said" are used to denote the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to mean an open inclusion and mean that there may be additional elements / components / etc. in addition to the listed elements / components / etc.

[0036] To solve the above problems, according to one aspect of the present invention, as Figure 1 shown, according to one aspect of the present invention, there is provided an automatic drop hammer excitation device for high strain method foundation pile detection that is convenient for combined installation, including an excitation processing module, a data processing module, and a convenient disassembly module, which is applied to an automatic drop hammer excitation method, specifically including:

[0037] S1 Perform excitation processing of the drop hammer according to a preset excitation force, determine the similarity between the detection data and historical detection data based on the analysis result of the detection data of the high strain method of the foundation pile, and use the similarity to determine the similar historical foundation piles corresponding to the historical detection data.

[0038] Furthermore, the excitation processing module is responsible for performing the excitation processing of the drop hammer.

[0039] Specifically, the data processing module is responsible for adjusting and analyzing the excitation force of the drop hammer.

[0040] It should be noted that the convenient disassembly module is responsible for assembling the excitation processing module, the data processing module and the drop hammer excitation device.

[0041] Furthermore, the preset excitation force is determined according to the trial excitation force preset in the excitation device.

[0042] It can be understood that the similarity between the detection data and historical detection data includes the historical detection piles corresponding to different historical detection data and the feature similarity amount of the detection features of different historical detection data and the detection data.

[0043] Optionally, the detection features include amplitude distribution features and frequency features.

[0044] It should be noted that, as Figure 2 shown, the method for determining the similar historical piles is:

[0045] Determine the feature similarity amounts of the detection data and the historical detection data in different types of detection features based on the similarity situation, and divide the detection data into multiple time periods;

[0046] Determine the feature similarity coefficients within different time periods based on the feature similarity amounts of different types of detection features within different time periods, and determine the similar time periods within the time periods based on the feature similarity coefficients;

[0047] Use the proportion of the number of the similar time periods to determine whether the historical detection pile corresponding to the historical detection data is a similar historical pile.

[0048] Further, when the proportion of the number of the similar time periods is greater than a preset proportion, it is determined that the historical detection pile corresponding to the historical detection data is a similar historical pile.

[0049] Optionally, the method for determining the similar historical pile includes steps S11 - S13, specifically:

[0050] S11 Determine the feature similarity amounts of the detection data and the historical detection data in different types of detection features based on the similarity situation, and divide the detection data into multiple time periods;

[0051] S12 Determine the feature similarity coefficients within different time periods based on the feature similarity amounts of different types of detection features within different time periods, and determine the similar time periods within the time periods based on the feature similarity coefficients;

[0052] S13 Use the feature similarity coefficients of different similar time periods and the number of the similar time periods to determine the detection similarity coefficient between the detection data and the historical detection data, and determine whether the historical detection pile corresponding to the historical detection data is a similar historical pile based on the detection similarity coefficient.

[0053] Further, the time periods are divided according to a preset duration for the detection data.

[0054] It can be understood that the feature similarity coefficient is determined based on the average value of the feature similarity amounts of different types of detection features within the time period.

[0055] It should be noted that when the detection similarity coefficient of the historical detection data is greater than a preset similarity coefficient threshold, it is determined that the historical detection pile corresponding to the historical detection data is a similar historical pile.

[0056] Optionally, step S11 above includes steps S111 - S113, specifically:

[0057] S111 determines the feature similarity amounts of the detection data and the historical detection data in different types of detection features through the similar situations. When it is determined that there are similar detection features for the detection features based on the feature similarity amounts, step S112 is entered. When it is determined that there are no similar detection features for the detection features based on the feature similarity amounts, it transfers to step S113;

[0058] S112 When the proportion of the number of features of the similar detection features is greater than the preset proportion of the number of features, it is determined that the historical detection pile corresponding to the historical detection data is a similar historical pile. When the proportion of the number of features of the similar detection features is not greater than the preset proportion of the number of features, it transfers to step S113;

[0059] S113 Divides the detection data into multiple time periods and transfers to step S12.

[0060] Optionally, step S12 above includes steps S121 - S123, specifically:

[0061] S121 Determines whether there are time periods with similar detection features based on the feature similarity amounts of different types of detection features in different time periods. When there are time periods with similar detection features, the next step is entered. When there are no time periods with similar detection features, it is determined that the historical detection pile corresponding to the historical detection data does not belong to the similar historical pile;

[0062] S122 Uses the time periods with similar detection features as the screened detection time periods. When the number of the screened detection time periods does not meet the requirements, it is determined that the historical detection pile corresponding to the historical detection data does not belong to the similar historical pile. When the number of the screened detection time periods meets the requirements, it transfers to step S123;

[0063] S123 Determines the feature similarity coefficients in different time periods based on the feature similarity amounts of different types of detection features in different time periods. When it is determined that there are similar time periods in the time periods based on the feature similarity coefficients, it transfers to step S13. When it is determined that there are no similar time periods in the time periods based on the feature similarity coefficients, it is determined that the historical detection pile corresponding to the historical detection data does not belong to the similar historical pile.

[0064] Optionally, before entering step S13, it is also necessary to determine whether the number of similar time periods is greater than the preset threshold of the number of similar time periods. When the number of similar time periods is greater than the preset threshold of the number of similar time periods, it is determined that the historical detection pile corresponding to the historical detection data belongs to the similar historical pile. When the number of similar time periods is not greater than the preset threshold of the number of similar time periods, it transfers to step S13.

[0065] S2 determines the hammer center deviation data of the drop hammers of the similar historical piles under different exciting forces based on the analysis results of the historical exciting data of the drop hammers of the similar historical piles, and determines the reliable exciting force in the exciting forces based on the hammer center deviation data;

[0066] Further, the hammer center deviation data includes the number of similar historical piles with hammer center deviation under the exciting force, the number of hammer center deviation times, and the hammer center deviation amount of different hammer center deviation times.

[0067] It should be noted that as Figure 3 shown, the method for determining the reliable exciting force in the exciting forces is as follows:

[0068] Determine the similar historical piles with hammer center deviation under the exciting force through the hammer center deviation data, and use them as the hammer center deviation piles;

[0069] Determine the hammer center deviation coefficient based on the proportion of the hammer center deviation piles in the number of the similar historical piles;

[0070] Determine whether the exciting force is a reliable exciting force through the hammer center deviation coefficient.

[0071] Further, when the hammer center deviation coefficient of the exciting force does not meet the requirements, it is determined that the exciting force does not belong to the reliable exciting force.

[0072] In addition, it should be noted that the value range of the hammer center deviation coefficient of the exciting force is between 0 and 1, and the greater the hammer center deviation coefficient of the exciting force, the greater the probability that the hammer center of the drop hammer deviates under the exciting force.

[0073] Optionally, the method for determining the reliable exciting force in the exciting forces includes steps S21 - S23, specifically:

[0074] S21 determines the similar historical piles with hammer center deviation under the exciting force through the hammer center deviation data, and uses them as the hammer center deviation piles, and determines the hammer center deviation coefficient based on the proportion of the hammer center deviation piles in the number of the similar historical piles;

[0075] Optionally, the above step S21 includes steps S211 - S213, specifically:

[0076] S211 When determining that there are no similar historical piles with hammer center deviation under the exciting force through the hammer center deviation data, it is determined that the exciting force is a reliable exciting force. When there are similar historical piles with hammer center deviation under the exciting force, it proceeds to step S212;

[0077] S212 uses the similar historical foundation piles with hammer center deviation under the excitation force as the foundation piles with hammer center deviation. When the number of the foundation piles with hammer center deviation is less than the preset deviation foundation pile number threshold, it proceeds to step S213. When the number of the foundation piles with hammer center deviation is not less than the preset deviation foundation pile number threshold, it is determined that the excitation force does not belong to the reliable excitation force;

[0078] S213 determines the hammer center deviation coefficient based on the proportion of the foundation piles with hammer center deviation in the number of the similar historical foundation piles. When the hammer center deviation coefficient does not meet the requirements, it is determined that the excitation force does not belong to the reliable excitation force. When the hammer center deviation coefficient meets the requirements, it proceeds to step S22.

[0079] S22 determines the hammer center deviation times of different foundation piles with hammer center deviation and the hammer center deviation amounts of different hammer center deviation times based on the hammer center deviation data of different foundation piles with hammer center deviation, and determines the hammer center abnormal coefficients of different hammer center deviation times by using the hammer center deviation times and the hammer center deviation amounts of different hammer center deviation times;

[0080] Optionally, steps S221 - S223 are included in the above step S22, specifically:

[0081] S221 determines the hammer center deviation times of different foundation piles with hammer center deviation based on the hammer center deviation data of different foundation piles with hammer center deviation. When the total hammer center deviation times of different foundation piles with hammer center deviation do not meet the requirements, it is determined that the excitation force does not belong to the reliable excitation force. When the total hammer center deviation times of different foundation piles with hammer center deviation meet the requirements, it proceeds to step S222;

[0082] S222 determines the seriously deviated foundation piles with hammer center deviation according to the hammer center deviation times of different foundation piles with hammer center deviation. When the number of the seriously deviated foundation piles with hammer center deviation does not meet the requirements, it is determined that the excitation force does not belong to the reliable excitation force. When the number of the seriously deviated foundation piles with hammer center deviation meets the requirements, it proceeds to step S223;

[0083] S223 determines the hammer center abnormal coefficients of different hammer center deviation times by using the hammer center deviation times and the hammer center deviation amounts of different hammer center deviation times. When the hammer center deviation times with unmet requirements are within the preset deviation times interval, it proceeds to step S23. When the hammer center deviation times with unmet requirements are not within the preset deviation times interval, it is determined that the excitation force does not belong to the reliable excitation force.

[0084] S23 determines the comprehensive deviation coefficient of the excitation force based on the hammer center abnormal coefficients of different hammer center deviation times and the hammer center deviation times, and determines whether the excitation force is a reliable excitation force through the comprehensive deviation coefficient.

[0085] S3 obtains the displacement change data of the foundation pile under different hammering times during the detection under different reliable exciting forces, and determines the optimal exciting force in the reliable exciting forces by combining the historical detection data under different displacement changes;

[0086] Specifically, as Figure 4 shown, the method for determining the optimal exciting force in the reliable exciting forces is as follows:

[0087] Based on the displacement change conditions of similar historical foundation piles under different hammering times under the reliable exciting forces, determine the displacement change amounts under different hammering times, and use the average value of the displacement change amounts under different hammering times as the average displacement change amount;

[0088] Based on the historical detection data under the average displacement change amount, determine the number of data deviation times of the historical detection data under the average displacement change amount, and use the proportion of the number of data deviation times to determine the data deviation coefficient of the historical detection data under the average displacement change amount;

[0089] Based on the data deviation coefficient, determine whether the reliable exciting force is the optimal exciting force.

[0090] Further, the number of data deviation times is determined according to the abnormal conditions of the detection characteristics of the historical detection data. Specifically, the detection times corresponding to the historical detection data with abnormal detection characteristics are used as the number of data deviation times.

[0091] It should be noted that the optimal exciting force is the reliable exciting force with the smallest data deviation coefficient.

[0092] Optionally, the method for determining the optimal exciting force in the reliable exciting forces includes steps S31 - S33, specifically:

[0093] S31 Based on the displacement change conditions of similar historical foundation piles under different hammering times under the reliable exciting forces, determine the displacement change amounts under different hammering times, and determine the exciting processing efficiency under the reliable exciting forces through the displacement change amounts under different hammering times;

[0094] S32 Based on the historical detection data corresponding to the displacement change amounts under different hammering times, determine the number of data deviation times of the historical detection data under the displacement change amount, and use the proportion of the number of data deviation times to determine the data deviation coefficient of the historical detection data under different displacement change amounts, and determine the exciting processing accuracy under the reliable exciting forces through the data deviation coefficients of the historical detection data under different displacement change amounts;

[0095] S33 determines the excitation processing reliability coefficient under the reliable excitation force based on the excitation processing efficiency and the excitation processing accuracy rate under the reliable excitation force, and determines whether the reliable excitation force is the preferred excitation force based on the excitation processing reliability coefficient.

[0096] Optionally, the excitation processing efficiency under the reliable excitation force is determined according to the displacement change amount under different hammering times and the length of the foundation pile. Specifically, the number of hammering times required is determined according to the length and the displacement change amount, and the excitation processing efficiency under the reliable excitation force is determined through the number of hammering times required.

[0097] It should be noted that the excitation processing reliability coefficient under the reliable excitation force is determined according to the average value of the excitation processing efficiency and the excitation processing accuracy rate under the reliable excitation force.

[0098] Further, the preferred excitation force is the reliable excitation force with the largest excitation processing reliability coefficient.

[0099] S4 performs the excitation processing of the drop hammer based on the preferred excitation force, and determines whether automatic adjustment processing of the excitation equipment of the drop hammer is required according to the change situation of the excitation data under different adjacent hammering times.

[0100] Further, determining whether automatic adjustment processing of the excitation equipment of the drop hammer is required is specifically as follows:

[0101] Based on the change situation of the excitation data under different adjacent hammering times, determine the change situation of the feature similarity amount of the detection features of the excitation data under different adjacent hammering times;

[0102] Determine the number of times of detection feature changes through the change situation of the feature similarity amount of the detection features of the excitation data under different adjacent hammering times;

[0103] Determine the excitation anomaly coefficient of the drop hammer based on the proportion of the number of detection feature changes in the number of hammering times, and determine whether automatic adjustment processing of the excitation equipment of the drop hammer is required through the excitation anomaly coefficient.

[0104] Specifically, when the excitation anomaly coefficient of the drop hammer is not within the preset anomaly coefficient range, it is determined that automatic adjustment processing of the excitation equipment of the drop hammer is required.

[0105] In another embodiment:

[0106] Optionally, step S31 includes steps S311 - S313, specifically as follows:

[0107] S311 determines the displacement change amounts at different numbers of hammer strikes by the displacement change conditions of similar historical foundation piles under the reliable exciting force during the detection process. When the average value of the displacement change amounts at different numbers of hammer strikes is less than the preset displacement change threshold, it is determined that the reliable exciting force does not belong to the preferred exciting force. When the average value of the displacement change amounts at different numbers of hammer strikes is not less than the preset displacement change threshold, it proceeds to step S312;

[0108] Based on the displacement change amounts at different numbers of hammer strikes, S312 determines the number of hammer strikes with displacement change amounts greater than the preset change amount threshold. When the number of hammer strikes with displacement change amounts greater than the preset change amount threshold is not within the preset number interval, it is determined that the reliable exciting force does not belong to the preferred exciting force. When the number of hammer strikes with displacement change amounts greater than the preset change amount threshold is within the preset number interval, it proceeds to step S313;

[0109] S313 determines the exciting processing efficiency under the reliable exciting force through the displacement change amounts at different numbers of hammer strikes. When and only when the exciting processing efficiency under the reliable exciting force meets the requirements, it enters step S32. When the exciting processing efficiency under the reliable exciting force does not meet the requirements, it is determined that the reliable exciting force does not belong to the preferred exciting force.

[0110] Further, steps S321 - S324 are included in step S32, specifically:

[0111] S321 determines the number of data deviation times of the historical detection data at the displacement change amount corresponding to the displacement change amounts at different numbers of hammer strikes. When there is no displacement change amount with the number of data deviation times not meeting the requirements, it proceeds to the next step. When there is a displacement change amount with the number of data deviation times not meeting the requirements, it proceeds to step S322;

[0112] S322 When the number of displacement change amounts with the number of data deviation times not meeting the requirements is within the preset number interval, it proceeds to step S323. When the number of displacement change amounts with the number of data deviation times not meeting the requirements is not within the preset number interval, it is determined that the reliable exciting force does not belong to the preferred exciting force;

[0113] S323 uses the proportion of the number of times of the number of data deviation times and the number of data deviation times to determine the data deviation coefficient of the historical detection data at different displacement change amounts. When the number of displacement change amounts with the data deviation coefficient greater than the preset deviation coefficient threshold is within the preset number interval, it proceeds to step S324. When the number of displacement change amounts with the data deviation coefficient greater than the preset deviation coefficient threshold is not within the preset number interval, it is determined that the reliable exciting force does not belong to the preferred exciting force;

[0114] S324 determines the excitation processing accuracy rate under the reliable excitation force through the data deviation coefficient of historical detection data under different displacement change amounts. When the excitation processing accuracy rate under the reliable excitation force is less than the preset accuracy rate threshold, it is determined that the reliable excitation force does not belong to the preferred excitation force. When the excitation processing accuracy rate under the reliable excitation force is not less than the preset accuracy rate threshold, step S33 is entered.

[0115] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of devices, equipment, and non-volatile computer storage media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0116] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the specific order or continuous order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0117] The above is only one or more embodiments of this specification and is not used to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. An automatic drop hammer excitation method using a high-strain method pile foundation detection automatic drop hammer excitation device that is easy to assemble and install, the device includes an excitation processing module, a data processing module, and a convenient disassembly module, characterized in that: Specifically include: Performing a drop hammer excitation process according to a preset excitation force, determining similarities between the test data and historical test data based on analysis results of the test data of the pile foundation using a high strain method, and determining similar historical pile foundations corresponding to the historical test data using the similarities; Determine hammer center deviation data of the similar historical pile foundation under different exciting forces based on the analysis results of the historical exciting data of the drop hammer of the similar historical pile foundation, and determine the reliable exciting force among the exciting forces based on the hammer center deviation data; Obtaining displacement change data of the piles under different reliable exciting forces at different hammering times during the detection process, and determining the preferred exciting force among the reliable exciting forces in combination with historical detection data under different displacement change amounts; Performing the excitation processing of the drop hammer based on the preferred excitation force, and determining whether automatic adjustment processing of the excitation device of the drop hammer is required according to the change of the excitation data under different adjacent hammer strike times; The method for determining the reliable exciting force in the exciting force is: Determine similar historical piles with hammer center deviation under the exciting force through the hammer center deviation data, and use them as piles with hammer center deviation; Determine the hammer center deviation coefficient based on the proportion of the hammer center deviation piles to the similar historical piles; Determining whether the exciting force is a reliable exciting force by using the hammer center deviation coefficient; Determine whether automatic adjustment of the drop hammer excitation equipment is required, specifically: Determine the variation of the characteristic similarity amount of the detection characteristic of the vibration data under different adjacent hammering numbers according to the variation of the vibration data under different adjacent hammering numbers; The number of changes in the detection feature is determined by the change in the feature similarity amount of the detection feature of the excitation data under different adjacent hammering times; The abnormal excitation coefficient of the drop hammer is determined based on the proportion of the number of detection feature changes in the number of hammer strikes, and the abnormal excitation coefficient is used to determine whether automatic adjustment processing of the drop hammer's excitation equipment is required.

2. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 1, characterized in that: The excitation processing module is responsible for performing the excitation processing of the drop hammer.

3. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 1, characterized in that: The data processing module is responsible for adjusting and analyzing the exciting force of the drop hammer.

4. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 1, characterized in that: The preset exciting force is determined according to a preset trial exciting force of the exciting device.

5. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 1, characterized in that: The similarity between the detection data and the historical detection data includes the historical detection piles corresponding to different historical detection data and the feature similarity between different historical detection data and the detection features of the detection data.

6. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 1, characterized in that: The method for determining the similar historical piles is: Determine the feature similarity between the detection data and the historical detection data in different types of detection features based on the similar situations, and divide the detection data into multiple time periods; Determine feature similarity coefficients in different time periods based on feature similarities of different types of detection features in different time periods, and determine similar time periods in the time periods based on the feature similarity coefficients; The proportion of the number of similar time periods is used to determine whether the historical detection piles corresponding to the historical detection data are similar historical piles.

7. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 6, characterized in that: When the number ratio of the similar time periods is greater than the preset number ratio, it is determined that the historical detection pile corresponding to the historical detection data is a similar historical pile.

8. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 6, characterized in that: The time period divides the detection data according to a preset duration.

9. The automatic drop-hammer excitation method for pile foundation testing using an automatic drop-hammer excitation device for high-strain method that is easy to assemble and install as claimed in claim 1, characterized in that: When the abnormal coefficient of the excitation of the drop hammer is not within the preset abnormal coefficient range, it is determined that automatic adjustment processing of the excitation equipment of the drop hammer is required.

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