A test data analysis method and system for a rock mass mechanics lateral pressure tester

Abstract

The present application provides a test data analysis method and system for a rock mass mechanics lateral pressure tester, which obtains the first rock mass shear data of the first rock mass test item and the second rock mass shear data of the second rock mass test item. Based on these rock mass shear data, it can be tested whether the first rock mass test item and the second rock mass test item are in a main correlation state. When the first rock mass test item is in a main correlation state, and the second rock mass test item is not in a main correlation state, the second rock mass shear data can be cleaned to reduce the interference that may be caused by the second rock mass test item, and then the first rock mass shear data and the cleaned second rock mass shear data are analyzed and processed to obtain the third rock mass shear data. In this way, the test analysis based on the rock mass shear data can ensure the accuracy of the shear strength obtained and the accuracy of the mechanical experiment.

Description

Technical Field

[0001] The present application relates to the technical field of data evaluation, and in particular to a test data analysis method and system for a rock mechanics lateral pressure tester. Background Art

[0002] Rock mass deformation is an important indicator for evaluating the stability of engineering rock mass and is also one of the basic principles of geotechnical engineering design. In recent years, with the explosive increase in the development and utilization of deep underground space, major water conservancy projects, transportation engineering construction, and super-high-rise industrial and civil buildings, the acquisition of mechanical parameters of deep and medium rock mass has become an inevitable demand.

[0003] The traditional means of obtaining rock and soil parameters in geotechnical engineering investigation mainly include on-site in-situ testing, indoor sampling tests and geophysical exploration tests. In-situ testing is mainly concentrated in shallow strata, and it is difficult to obtain the physical and mechanical parameters of rock and soil in medium and deep strata. The rock physical and mechanical parameters obtained by indoor testing of deep rock samples taken by drilling sampling are often greatly attenuated compared with the actual values ​​due to the limitations of sampling methods, rock structure, weathering degree and sample delivery time, and objective and accurate deep rock physical and mechanical parameters cannot be obtained.

[0004] At present, a method for real-time detection of the shear strength of rock mass is needed, which can reflect the real-time situation of rock to the greatest extent. Therefore, a method is urgently needed to solve the above problems. Summary of the invention

[0005] In order to improve the technical problems existing in the relevant technologies, the present application provides a test data analysis method and system for a rock mechanics lateral pressure tester.

[0006] In a first aspect, a test data analysis method of a rock mechanics lateral pressure tester is provided, comprising:

[0007] Obtaining first rock mass shear resistance data of a first rock mass test item and second rock mass shear resistance data of a second rock mass test item; wherein there is a correlation relationship between the first rock mass test item and the second rock mass test item;

[0008] Determine whether the first rock body test item is in a main associated state in combination with the first rock body shear resistance data, and determine whether the second rock body test item is in a main associated state in combination with the second rock body shear resistance data; or, obtain a test result of whether the first rock body test item and the second rock body test item are in a main associated state in combination with the first rock body shear resistance data and the second rock body shear resistance data;

[0009] If the first rock mass test item is in a main association state and the second rock mass test item is not in a main association state, cleaning the shear resistance data of the second rock mass;

[0010] The first rock mass shear resistance data and the second rock mass shear resistance data after cleaning are analyzed and processed to obtain third rock mass shear resistance data.

[0011] In the present application, the step of determining whether the first rock body test item is in a primary association state by combining the first rock body shear resistance data, and determining whether the second rock body test item is in a primary association state by combining the second rock body shear resistance data, includes:

[0012] Loading the first rock mass shear resistance data into the trained first data intelligent analysis thread;

[0013] The first rock body shear resistance data is processed by the first data intelligent analysis thread to obtain a first regression analysis result; the first regression analysis result is used to indicate whether the first rock body test item is in a main correlation state;

[0014] Loading the second rock mass shear resistance data into the trained first data intelligent analysis thread;

[0015] The shear resistance data of the second rock mass is processed by the first data intelligent analysis thread to obtain a second regression analysis result; the second regression analysis result is used to indicate whether the second rock mass test item is in a main correlation state.

[0016] In the present application, the first rock mass shear resistance data is processed by the first data intelligent analysis thread to obtain a first regression analysis result, including:

[0017] Extracting features from the first rock mass shear resistance data through a first data intelligent analysis thread to obtain first feature data;

[0018] In combination with the first feature data, regression analysis is performed through the first data intelligent analysis thread to obtain the first regression analysis result.

[0019] In the present application, the step of combining the first feature data and performing regression analysis through the first data intelligent analysis thread to obtain the first regression analysis result includes:

[0020] In combination with the first characteristic data, determining a first rock mass strength possibility value through the first data intelligent analysis thread; the first rock mass strength possibility value is used to indicate the possibility that the first rock mass test item is in a primary association state;

[0021] If the first rock body strength possibility value is not greater than the first target value, the first regression analysis result is determined to be that the first rock body test item is not in a major association state; or, if the first rock body strength possibility value is greater than the first target value, the first regression analysis result is determined to be that the first rock body test item is in a major association state.

[0022] In the present application, the first data intelligent analysis thread is trained by the following steps:

[0023] Obtaining sample rock mass shearing data of a batch of sample rock mass test items and a rock mass strength label corresponding to the sample rock mass shearing data; the rock mass strength label is used to indicate the current result of whether the sample rock mass test item is in a main association state;

[0024] The example rock mass shear resistance data is loaded into the first data intelligent analysis thread of the originalization, and the example rock mass shear resistance data is processed by the first data intelligent analysis thread to obtain a third regression analysis result; the third regression analysis result is used to indicate whether the example rock mass test item is in a main correlation state;

[0025] Determine a quantitative evaluation value of the training by combining the third regression analysis result and the rock mass strength label;

[0026] The coefficients of the first data intelligent analysis thread are optimized in combination with the quantitative evaluation value to obtain a trained first data intelligent analysis thread.

[0027] In the present application, the combining of the first rock mass shear resistance data and the second rock mass shear resistance data to obtain a test result of whether the first rock mass test item and the second rock mass test item are in a primary association state includes:

[0028] Loading the first rock body shear resistance data and the second rock body shear resistance data into the trained second data intelligent analysis thread, and extracting first characteristic data of the first rock body shear resistance data and second characteristic data of the second rock body shear resistance data;

[0029] Performing feature concatenation on the first feature data and the second feature data to obtain third feature data;

[0030] In combination with the third characteristic data, regression analysis is performed through the second data intelligent analysis thread to obtain a first regression analysis result and a second regression analysis result; wherein the first regression analysis result is used to indicate whether the first rock body test item is in a main association state; and the second regression analysis result is used to indicate whether the second rock body test item is in a main association state.

[0031] In the present application, the combining of the first rock mass shear resistance data to determine whether the first rock mass test item is in a primary association state includes:

[0032] Testing whether there is rock mass attribute description information in the first rock mass shear resistance data;

[0033] If there is rock body attribute description information in the first rock body shear resistance data, it is determined that the first rock body test item is in a main association state, or if there is no rock body attribute description information in the first rock body shear resistance data, it is determined that the first rock body test item is not in a main association state.

[0034] In the present application, the testing whether the first rock mass shear resistance data contains rock mass attribute description information includes:

[0035] In a pre-built rock mass shear strength association database, commonality coefficient matching is performed on the first rock mass shear strength data; the rock mass shear strength association database includes a plurality of rock mass shear strength data examples;

[0036] If the commonality coefficient between the first rock body shear data and any of the rock body shear data examples is not less than the second target value, it is determined that rock body attribute description information exists in the first rock body shear data; or, if the commonality coefficient between the first rock body shear data and all of the rock body shear data examples is less than the second target value, it is determined that no rock body attribute description information exists in the first rock body shear data.

[0037] In the present application, the step of combining the first rock mass shear resistance data to test whether the first rock mass test item is in a primary association state includes:

[0038] Obtaining rock mass impurity data corresponding to the first rock mass test item;

[0039] Loading the first rock body anti-shear data and the rock body impurity data into a trained third data intelligent analysis thread, and extracting first feature data of the first rock body anti-shear data and fourth feature data of the rock body impurity data;

[0040] Performing feature concatenation on the first feature data and the fourth feature data to obtain fifth feature data;

[0041] In combination with the fifth characteristic data, regression analysis is performed through the third data intelligent analysis thread to obtain a first regression analysis result; wherein the first regression analysis result is used to indicate whether the first rock body test item is in a primary association state.

[0042] In the present application, the cleaning process of the second rock mass shear resistance data includes:

[0043] If the rock mass structural strength of the second rock mass shear resistance data is not greater than the third target value, reducing the rock mass structural strength of the second rock mass shear resistance data to 0;

[0044] Alternatively, if the rock mass structural strength of the second rock mass shear resistance data is greater than the third target value and less than the fourth target value, the rock mass structural strength of the second rock mass shear resistance data is cleaned according to a specified percentage;

[0045] Alternatively, if the rock mass structural strength of the second rock mass shear resistance data is not less than the fourth target value, the rock mass structural strength of the second rock mass shear resistance data is determined as a target structural strength value; the target structural strength value is equal to a function processing result of the fourth target value and the specified percentage;

[0046] Wherein, the third target value is smaller than the fourth target value.

[0047] In the present application, the method further comprises the following steps:

[0048] If the first rock body test item is not in the main association state and the second rock body test item is in the main association state, cleaning the shear resistance data of the first rock body;

[0049] Alternatively, if the first rock mass test item is in the main association state and the second rock mass test item is not in the main association state, the shear resistance data of the first rock mass is debugged;

[0050] Alternatively, if the first rock body test item is not in the main association state and the second rock body test item is in the main association state, the shear resistance data of the second rock body is debugged.

[0051] In a second aspect, a test data analysis system for a rock mechanics lateral pressure tester is provided, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0052] The test data analysis method and system of a rock mass mechanics lateral pressure tester provided in the embodiment of the present application obtain the first rock mass shear data of the first rock mass test item and the second rock mass shear data of the second rock mass test item. Based on these rock mass shear data, it can be tested whether the first rock mass test item and the second rock mass test item are in a main correlation state. When the first rock mass test item is in a main correlation state, and the second rock mass test item is not in a main correlation state, the second rock mass shear data can be cleaned to reduce the interference that may be caused by the second rock mass test item, and then the first rock mass shear data and the cleaned second rock mass shear data are analyzed and processed to obtain the third rock mass shear data. In this way, the test analysis based on the rock mass shear data can ensure the accuracy of the shear strength obtained and the accuracy of the mechanical experiment. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 A flow chart of a test data analysis method for a rock mechanics lateral pressure tester provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0056] See also Figure 1 , shows a test data analysis method for a rock mechanics lateral pressure tester, which may include the technical solutions described in the following steps S100-S400.

[0057] S100, obtaining first rock mass shear resistance data of a first rock mass test item and second rock mass shear resistance data of a second rock mass test item; wherein there is a correlation relationship between the first rock mass test item and the second rock mass test item;

[0058] Exemplarily, rock mass testing items are understood as rock mass. Shear strength, also known as shear strength, is the ultimate strength generated when the material is sheared, reflecting the ability of the material to resist shear sliding, and is numerically equal to the tangential stress value on the shear surface, that is, the ratio of the shear force formed on the shear surface to the damage area. The shear strength of the rock mass is generally obtained by testing in the laboratory. The present application is to develop a machine that can test the shear strength of the rock mass on site (rock mechanics lateral pressure tester. In this application, the rock mechanics lateral pressure tester measures the shear strength of the rock, which is different from the market). It can detect the shear strength of the rock mass in real time, avoiding the weathering of the rock mass after excavation or the damage during transportation, which leads to the mismatch between the tested shear strength and the implementation.

[0059] Among them, in the present application, the shear strength of the rock body is related to the composition of the rock body, the structure of the rock body and the impurity content in the rock body, wherein the impurity content refers to the substances unrelated to the rock body generated by long-term weathering of the rock body or the corrosion of the rock body by microorganisms, or the incorporation of other substances into the rock body due to long-term erosion.

[0060] S200, determining whether the first rock body test item is in a main associated state according to the first rock body shear resistance data, and determining whether the second rock body test item is in a main associated state according to the second rock body shear resistance data; or, obtaining a test result of whether the first rock body test item and the second rock body test item are in a main associated state according to the first rock body shear resistance data and the second rock body shear resistance data;

[0061] For example, the main associated state can be understood as an important rock body test state, where the test state is also a range, such as the test state of sandstone and the test state of granite, etc. These are some common rock body types.

[0062] It should be noted that the testing method in the embodiment of the present application can test whether the first rock body test item is in a main associated state based on the shear resistance data of the first rock body; and test whether the second rock body test item is in a main associated state based on the shear resistance data of the second rock body; that is, the association state of the first rock body test item can be tested based on the shear resistance data of the first rock body alone.

[0063] S300, if the first rock mass test item is in the main association state and the second rock mass test item is not in the main association state, cleaning the shear resistance data of the second rock mass;

[0064] Exemplarily, the cleaning in this step is to remove abnormal data in the data (abnormal data includes data collected incorrectly and data lost during transmission, resulting in incomplete data, etc.), so as to ensure the accuracy of the shear strength of the tested rock mass and reduce the interference caused by weathering of the rock mass (rock weathering (rockweathering) is the phenomenon that the rock mass becomes broken, loosened and has secondary changes in mineral composition under the action of solar radiation, atmosphere, water and organisms).

[0065] S400: Analyze and process the first rock mass shear resistance data and the second rock mass shear resistance data after cleaning to obtain third rock mass shear resistance data.

[0066] Exemplarily, the third rock mass shear resistance data is the final rock mass test result, and this result is a real-time rock mass shear strength test result (here it can be understood as the rock mass health strength information in the current test area, which improves the existing technology that requires the rock mass to be brought to the laboratory for testing. The present application can perform testing in real time, thereby improving work efficiency).

[0067] In some possible implementations, in step S200 of the above embodiment, determining whether the first rock body test item is in a primary association state according to the first rock body shear resistance data, and determining whether the second rock body test item is in a primary association state according to the second rock body shear resistance data may include but are not limited to steps S210-S240:

[0068] S210, loading the first rock mass shear resistance data into the trained first data intelligent analysis thread;

[0069] Among them, the data intelligent analysis thread can be a neural network, and this thread can perform mechanical analysis on the shear strength of the rock mass in a timely manner.

[0070] S220, processing the shear resistance data of the first rock mass through the first data intelligent analysis thread to obtain a first regression analysis result; the first regression analysis result is used to indicate whether the test item of the first rock mass is in a main correlation state;

[0071] Among them, regression analysis is prediction.

[0072] S230, loading the second rock mass shear resistance data into the trained first data intelligent analysis thread;

[0073] S240. Process the shear resistance data of the second rock mass through the first data intelligent analysis thread to obtain a second regression analysis result; the second regression analysis result is used to indicate whether the second rock mass test item is in a primary correlation state.

[0074] It should be noted that in the field of machine learning, the model needs to be trained before it is put into use to improve the model's regression analysis accuracy on the input data. For the application field of this application, the first data intelligent analysis thread needs to be trained with a batch of rock shear data and its corresponding current state data to improve the accuracy of the model's recognition based on the rock shear data.

[0075] In some possible implementations, the step S220 of the above embodiment, processing the first rock mass shear resistance data by the first data intelligent analysis thread to obtain the first regression analysis result, may include but is not limited to steps S221-S222:

[0076] S221, extracting features from the first rock mass shear resistance data through a first data intelligent analysis thread to obtain first feature data;

[0077] S222. Perform regression analysis through a first data intelligent analysis thread according to the first feature data to obtain a first regression analysis result.

[0078] In a possible implementation example, the first data intelligent analysis thread performs feature extraction on the first rock mass shear resistance data during processing, and the obtained feature data is recorded as the first feature data.

[0079] In some possible implementations, the step S222 of the above embodiment, the step of performing regression analysis through the first data intelligent analysis thread according to the first feature data to obtain the first regression analysis result, may include but is not limited to steps S2221-S2222:

[0080] S2221. Determine, according to the first characteristic data, a first rock mass strength possibility value through a first data intelligent analysis thread; the first rock mass strength possibility value is used to indicate the possibility that the first rock mass test item is in a primary association state;

[0081] S2222. If the first rock mass strength possibility value is not greater than the first target value, determine that the first regression analysis result is that the first rock mass test item is not in a major correlation state; or, if the first rock mass strength possibility value is greater than the first target value, determine that the first regression analysis result is that the first rock mass test item is in a major correlation state.

[0082] In a possible implementation, based on the judgment of the regression analysis result of the first data intelligent analysis thread, the rock mass strength possibility value can be used for evaluation. Specifically, the first data intelligent analysis thread deeply processes the first feature data to determine the possibility that the first feature data is in a primary association state, and in the embodiment of the present application, the possibility is recorded as the first rock mass strength possibility value.

[0083] In some possible implementations, the test data analysis method of the rock mechanics lateral pressure tester provided in the present application further includes a step of training the first data intelligent analysis thread, and the training step may include but is not limited to steps S223-S226:

[0084] S223, obtaining sample rock mass shearing data of batch sample rock mass test items and rock mass strength labels corresponding to the sample rock mass shearing data; the rock mass strength labels are used to indicate the current results of whether the sample rock mass test items are in a primary association state;

[0085] S224, loading the example rock mass shear resistance data into the original first data intelligent analysis thread, processing the example rock mass shear resistance data through the first data intelligent analysis thread, and obtaining a third regression analysis result; the third regression analysis result is used to indicate whether the example rock mass test item is in a primary correlation state;

[0086] Among them, the original first data intelligent analysis thread can be the initially set data intelligent analysis thread.

[0087] S225, determining a quantitative evaluation value of the training according to the third regression analysis result and the rock mass strength label;

[0088] Among them, regression analysis can be understood as predictive processing.

[0089] S226. Optimize the coefficients of the first data intelligent analysis thread according to the quantitative evaluation value to obtain a trained first data intelligent analysis thread.

[0090] Among them, the quantitative evaluation value can be understood as a simplified value.

[0091] In some possible implementations, the step S200 of the above embodiment, the step of obtaining the test result of whether the first rock body test item and the second rock body test item are in a primary association state according to the first rock body shear resistance data and the second rock body shear resistance data, may include but is not limited to steps S201-S203:

[0092] S201, loading the first rock mass shear resistance data and the second rock mass shear resistance data into the trained second data intelligent analysis thread, and extracting the first characteristic data of the first rock mass shear resistance data and the second characteristic data of the second rock mass shear resistance data;

[0093] S202, performing feature concatenation on the first feature data and the second feature data to obtain third feature data;

[0094] S203. According to the third characteristic data, regression analysis is performed through the second data intelligent analysis thread to obtain a first regression analysis result and a second regression analysis result; wherein the first regression analysis result is used to indicate whether the first rock body test item is in a main correlation state; and the second regression analysis result is used to indicate whether the second rock body test item is in a main correlation state.

[0095] In some possible implementations, in the test data analysis method of the rock mechanics lateral pressure tester of the embodiment of the present application, the step of determining whether the first rock body test item is in a primary association state according to the shear resistance data of the first rock body may include but is not limited to steps S250-S260:

[0096] S250, testing whether there is rock mass attribute description information in the first rock mass shear resistance data;

[0097] S260: If there is rock mass attribute description information in the first rock mass shear resistance data, determine that the first rock mass test item is in a main association state; or, if there is no rock mass attribute description information in the first rock mass shear resistance data, determine that the first rock mass test item is not in a main association state.

[0098] Among them, the rock mass attribute description information can be understood as the three-dimensional structural information distribution of the rock, the component composition of the rock, etc.

[0099] In some possible implementations, the step S250 of the above embodiment, testing whether there is rock mass attribute description information in the first rock mass shear resistance data, may include but is not limited to steps S251-S252:

[0100] S251, performing commonality coefficient matching on the first rock mass shear strength data in a pre-built rock mass shear strength association database; the rock mass shear strength association database includes a plurality of rock mass shear data examples;

[0101] Among them, the commonality coefficient can be understood as similarity.

[0102] S252. If the commonality coefficient between the first rock body shear data and any rock body shear data example is not less than the second target value, it is determined that rock body attribute description information exists in the first rock body shear data; or, if the commonality coefficient between the first rock body shear data and all rock body shear data examples is less than the second target value, it is determined that no rock body attribute description information exists in the first rock body shear data.

[0103] In some possible implementations, in the test data analysis method of the rock mechanics lateral pressure tester of the embodiment of the present application, the step of testing whether the first rock body test item is in a primary correlation state according to the shear resistance data of the first rock body may include but is not limited to steps S2001-S2004:

[0104] S2001, obtaining rock mass impurity data corresponding to the first rock mass test item;

[0105] S2002, loading the first rock body anti-shear data and the rock body impurity data into the trained third data intelligent analysis thread, and extracting the first characteristic data of the first rock body anti-shear data and the fourth characteristic data of the rock body impurity data;

[0106] Among them, impurity data can be understood as substances that do not belong to the rock type, which are generally generated by weathering and other conditions.

[0107] S2003, performing feature concatenation on the first feature data and the fourth feature data to obtain fifth feature data;

[0108] S2004. According to the fifth characteristic data, regression analysis is performed through the third data intelligent analysis thread to obtain a first regression analysis result; wherein the first regression analysis result is used to indicate whether the first rock body test item is in a primary correlation state.

[0109] In some possible implementations, the step S300 of the above embodiment, the step of cleaning the shear resistance data of the second rock mass, may include but is not limited to steps S310-S330:

[0110] S310, if the rock mass structural strength of the second rock mass shear resistance data is not greater than the third target value, reducing the rock mass structural strength of the second rock mass shear resistance data to 0;

[0111] S320, or, if the rock mass structural strength of the second rock mass shear resistance data is greater than the third target value and less than the fourth target value, the rock mass structural strength of the second rock mass shear resistance data is cleaned according to a specified percentage;

[0112] S330, or, if the rock mass structural strength of the second rock mass shear resistance data is not less than the fourth target value, determine the rock mass structural strength of the second rock mass shear resistance data as the target structural strength value; the target structural strength value is equal to the function processing result of the fourth target value and the specified percentage;

[0113] Among them, the third target value is smaller than the fourth target value.

[0114] In a possible implementation, the rock body shear resistance data corresponding to the rock body test items that are not in the main association state (ie, the second rock body shear resistance data) are cleaned to reduce the interference of the rock body test items in the main association state.

[0115] In some possible implementations, the test data analysis method of the rock mechanics lateral pressure tester of the embodiment of the present application may include but is not limited to steps S301-S303:

[0116] S301, if the first rock mass test item is not in the main association state and the second rock mass test item is in the main association state, cleaning the shear resistance data of the first rock mass;

[0117] S302, or, if the first rock mass test item is in the main association state and the second rock mass test item is not in the main association state, debugging the shear resistance data of the first rock mass;

[0118] S303: Alternatively, if the first rock mass test item is not in the main association state and the second rock mass test item is in the main association state, the shear resistance data of the second rock mass is debugged.

[0119] In a possible implementation example, the analysis effect can also be improved by debugging the shear resistance data of the rock mass in the main association state.

[0120] On the basis of the above, a test data analysis device for a rock mass mechanics lateral pressure tester is provided, the device comprising:

[0121] A data acquisition module, used for acquiring first rock body shear resistance data of a first rock body test item and second rock body shear resistance data of a second rock body test item; wherein there is an association relationship between the first rock body test item and the second rock body test item;

[0122] a result obtaining module, for determining whether the first rock body test item is in a main associated state in combination with the first rock body shear resistance data, and determining whether the second rock body test item is in a main associated state in combination with the second rock body shear resistance data; or, for obtaining a test result of whether the first rock body test item and the second rock body test item are in a main associated state in combination with the first rock body shear resistance data and the second rock body shear resistance data;

[0123] A data cleaning module, configured to clean the shear resistance data of the second rock mass if the first rock mass test item is in a main association state and the second rock mass test item is not in a main association state;

[0124] The data analysis module is used to analyze and process the first rock body shear resistance data and the second rock body shear resistance data after cleaning to obtain third rock body shear resistance data.

[0125] On the basis of the above, a test data analysis system for a rock mechanics lateral pressure tester is shown, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0126] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0127] In summary, based on the above scheme, the first rock body shear data of the first rock body test item and the second rock body shear data of the second rock body test item are obtained. Based on these rock body shear data, it can be tested whether the first rock body test item and the second rock body test item are in a main correlation state. When the first rock body test item is in a main correlation state and the second rock body test item is not in a main correlation state, the second rock body shear data can be cleaned to reduce the interference that may be caused by the second rock body test item, and then the first rock body shear data and the cleaned second rock body shear data are analyzed and processed to obtain the third rock body shear data. In this way, the test analysis based on the rock body shear data can ensure the accuracy of the shear strength obtained and the accuracy of the mechanical experiment.

[0128] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).

[0129] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other beneficial effects that may be obtained.

Claims

1. A test data analysis method for a rock mass mechanics lateral pressure tester, characterized in that: The method comprises: Obtaining first rock mass shear resistance data of a first rock mass test item and second rock mass shear resistance data of a second rock mass test item; wherein there is a correlation relationship between the first rock mass test item and the second rock mass test item; Determine whether the first rock body test item is in a main associated state in combination with the first rock body shear resistance data, and determine whether the second rock body test item is in a main associated state in combination with the second rock body shear resistance data; or, obtain a test result of whether the first rock body test item and the second rock body test item are in a main associated state in combination with the first rock body shear resistance data and the second rock body shear resistance data; If the first rock mass test item is in a main association state and the second rock mass test item is not in a main association state, cleaning the shear resistance data of the second rock mass; Analyzing and processing the first rock mass shear resistance data and the second rock mass shear resistance data after cleaning to obtain third rock mass shear resistance data; The determining whether the first rock body test item is in a main associated state in combination with the first rock body shear resistance data, and the determining whether the second rock body test item is in a main associated state in combination with the second rock body shear resistance data include: Loading the first rock mass shear resistance data into the trained first data intelligent analysis thread; The first rock body shear resistance data is processed by the first data intelligent analysis thread to obtain a first regression analysis result; the first regression analysis result is used to indicate whether the first rock body test item is in a main correlation state; Loading the second rock mass shear resistance data into the trained first data intelligent analysis thread; Processing the shear resistance data of the second rock mass through the first data intelligent analysis thread to obtain a second regression analysis result; the second regression analysis result is used to indicate whether the test item of the second rock mass is in a main correlation state; The first data intelligent analysis thread is trained by the following steps: Obtaining sample rock mass shearing data of a batch of sample rock mass test items and a rock mass strength label corresponding to the sample rock mass shearing data; the rock mass strength label is used to indicate the current result of whether the sample rock mass test item is in a main association state; The example rock mass shear resistance data is loaded into the first data intelligent analysis thread of the originalization, and the example rock mass shear resistance data is processed by the first data intelligent analysis thread to obtain a third regression analysis result; the third regression analysis result is used to indicate whether the example rock mass test item is in a main correlation state; Determine a quantitative evaluation value of the training by combining the third regression analysis result and the rock mass strength label; The coefficients of the first data intelligent analysis thread are optimized in combination with the quantitative evaluation value to obtain a trained first data intelligent analysis thread.

2. The test data analysis method of the rock mechanics lateral pressure tester according to claim 1, characterized in that: The first rock mass shear resistance data is processed by the first data intelligent analysis thread to obtain a first regression analysis result, including: Extracting features from the first rock mass shear resistance data through a first data intelligent analysis thread to obtain first feature data; In combination with the first feature data, regression analysis is performed through the first data intelligent analysis thread to obtain the first regression analysis result.

3. The test data analysis method of the rock mechanics lateral pressure tester according to claim 2 is characterized in that: The combining the first feature data and performing regression analysis through the first data intelligent analysis thread to obtain the first regression analysis result includes: In combination with the first characteristic data, determining a first rock mass strength possibility value through the first data intelligent analysis thread; the first rock mass strength possibility value is used to indicate the possibility that the first rock mass test item is in a primary association state; If the first rock body strength possibility value is not greater than the first target value, the first regression analysis result is determined to be that the first rock body test item is not in a major association state; or, if the first rock body strength possibility value is greater than the first target value, the first regression analysis result is determined to be that the first rock body test item is in a major association state.

4. The test data analysis method of the rock mechanics lateral pressure tester according to claim 1, characterized in that: The combining the first rock mass shear resistance data and the second rock mass shear resistance data to obtain a test result of whether the first rock mass test item and the second rock mass test item are in a primary association state includes: Loading the first rock body shear resistance data and the second rock body shear resistance data into the trained second data intelligent analysis thread, and extracting first characteristic data of the first rock body shear resistance data and second characteristic data of the second rock body shear resistance data; Performing feature concatenation on the first feature data and the second feature data to obtain third feature data; In combination with the third characteristic data, regression analysis is performed through the second data intelligent analysis thread to obtain a first regression analysis result and a second regression analysis result; wherein the first regression analysis result is used to indicate whether the first rock body test item is in a main association state; and the second regression analysis result is used to indicate whether the second rock body test item is in a main association state.

5. The test data analysis method of the rock mechanics lateral pressure tester according to claim 1, characterized in that: The determining whether the first rock mass test item is in a primary association state in combination with the first rock mass shear resistance data includes: Testing whether there is rock mass attribute description information in the first rock mass shear resistance data; If there is rock body attribute description information in the first rock body shear resistance data, it is determined that the first rock body test item is in a main association state, or if there is no rock body attribute description information in the first rock body shear resistance data, it is determined that the first rock body test item is not in a main association state.

6. The test data analysis method of the rock mass mechanics lateral pressure tester according to claim 5, characterized in that: The testing whether the first rock mass shear resistance data contains rock mass attribute description information includes: In a pre-built rock mass shear strength association database, commonality coefficient matching is performed on the first rock mass shear strength data; the rock mass shear strength association database includes a plurality of rock mass shear strength data examples; If the commonality coefficient between the first rock body shear data and any of the rock body shear data examples is not less than the second target value, it is determined that rock body attribute description information exists in the first rock body shear data; or, if the commonality coefficient between the first rock body shear data and all of the rock body shear data examples is less than the second target value, it is determined that no rock body attribute description information exists in the first rock body shear data.

7. The test data analysis method of the rock mechanics lateral pressure tester according to claim 1, characterized in that: The step of testing whether the first rock mass test item is in a primary association state in combination with the first rock mass shear resistance data includes: Obtaining rock mass impurity data corresponding to the first rock mass test item; Loading the first rock body anti-shear data and the rock body impurity data into a trained third data intelligent analysis thread, and extracting first feature data of the first rock body anti-shear data and fourth feature data of the rock body impurity data; Performing feature concatenation on the first feature data and the fourth feature data to obtain fifth feature data; In combination with the fifth characteristic data, regression analysis is performed through the third data intelligent analysis thread to obtain a first regression analysis result; wherein the first regression analysis result is used to indicate whether the first rock body test item is in a main association state; The cleaning process of the second rock mass shear resistance data includes: If the rock mass structural strength of the second rock mass shear resistance data is not greater than the third target value, reducing the rock mass structural strength of the second rock mass shear resistance data to 0; Alternatively, if the rock mass structural strength of the second rock mass shear resistance data is greater than the third target value and less than the fourth target value, the rock mass structural strength of the second rock mass shear resistance data is cleaned according to a specified percentage; Alternatively, if the rock mass structural strength of the second rock mass shear resistance data is not less than the fourth target value, the rock mass structural strength of the second rock mass shear resistance data is determined as a target structural strength value; the target structural strength value is equal to a function processing result of the fourth target value and the specified percentage; Wherein, the third target value is less than the fourth target value; The method further comprises the following steps: If the first rock body test item is not in the main association state and the second rock body test item is in the main association state, cleaning the shear resistance data of the first rock body; Alternatively, if the first rock mass test item is in the main association state and the second rock mass test item is not in the main association state, the shear resistance data of the first rock mass is debugged; Alternatively, if the first rock body test item is not in the main association state and the second rock body test item is in the main association state, the shear resistance data of the second rock body is debugged.

8. A test data analysis system for a rock mass mechanics lateral pressure tester, characterized in that: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 7.

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