Standardized experiment method and device for rock mechanics experiment

Abstract

The invention provides a standardized experiment method and device for a rock mechanics experiment, and the method comprises the steps: collecting a plurality of conventional rock mechanics experiment schemes, determining a plurality of experiment characteristics of each experiment, and splitting links of each conventional rock mechanics experiment according to the plurality of experiment characteristics; according to the standard format corresponding to each experiment feature, storing each experiment feature of each experiment into a corresponding storage file to generate a standardized description of the rock mechanics experiment; performing matching analysis on each experiment characteristic of the target sample and the standardized description, and determining a target experiment type corresponding to the target sample; and extracting a corresponding experiment scheme from the standardized description according to the target experiment type, and performing an automatic experiment on the target sample to obtain the mechanical index of the target sample. The method is based on standardized experimental scheme description, can carry out batch and automatic rock mechanics experiments, improves the experiment efficiency, and reduces the experiment cost.

Description

Technical Field

[0001] The present application relates to the technical field of rock mechanics experiments, and in particular to a standardized experimental method and device for rock mechanics experiments. Background Art

[0002] At present, various mechanical indicators of rock samples need to be solved through relevant mechanical experiments. In the related art, when conducting rock mechanics experiments, the staff usually perform the experimental operations based on their personal experience and refer to previous historical experimental plans.

[0003] However, the experimental schemes in the above-mentioned related technologies have low experimental efficiency and may have deviations in the experimental results, which cannot meet the needs of large data volumes. With the rapid development of cutting-edge digital technologies such as artificial intelligence and big data, experimental equipment tends to be digital, refined and intelligent, and laboratories are gradually beginning to transform towards digitalization and intelligence. However, for rock mechanics experiments, there is currently a lack of standardized experimental methods. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the first purpose of this application is to propose a standardized experimental method for rock mechanics experiments. This method is based on a standardized experimental scheme description and can carry out batch and automated rock mechanics experiments, thereby improving the efficiency of the experiment, reducing the experimental cost, and ensuring the accuracy of the experimental results.

[0006] The second objective of this application is to propose a standardized experimental device for rock mechanics experiments.

[0007] A third object of the present application is to provide a non-transitory computer-readable storage medium.

[0008] To achieve the above-mentioned purpose, the first embodiment of the present application is to propose a standardized experimental method for rock mechanics experiments, which includes the following steps:

[0009] Collecting a variety of conventional rock mechanics experimental schemes, and determining a plurality of experimental features of each conventional rock mechanics experiment, and splitting the links of each conventional rock mechanics experiment according to the plurality of experimental features;

[0010] According to the standard format corresponding to each of the experimental features, each of the experimental features of each conventional rock mechanics experiment is stored in a corresponding storage file to generate a standardized description of the rock mechanics experiment;

[0011] Acquire various experimental features of the target sample to be tested by multiple information collection methods, match and analyze the various experimental features of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample;

[0012] According to the target experiment type, a corresponding experimental scheme is extracted from the standardized description, and an automated experiment is performed on the target sample according to the extracted experimental scheme to obtain the mechanical indicators of the target sample, and the various experimental results obtained are stored in corresponding storage files, wherein the extracted experimental scheme includes a formula for solving the mechanical indicators.

[0013] Optionally, in one embodiment of the present application, the multiple conventional rock mechanics experimental schemes include: uniaxial compression test, conventional triaxial compression test, true triaxial compression test, three-point bending test, direct tension test and Brazilian splitting test; the multiple experimental characteristics include: sample type, sample shape, sample size, experimental environment, action surface, force direction, force magnitude and mechanical index solution formula.

[0014] Optionally, in one embodiment of the present application, the automated experiment is performed on the target sample according to the extracted experimental scheme, including: when there are multiple target samples, the multiple target samples are divided according to the target experiment type corresponding to each target sample; for the same batch of target samples undergoing the same experiment, batch experiments are performed according to the corresponding experimental scheme.

[0015] Optionally, in one embodiment of the present application, before conducting batch experiments according to the corresponding experimental plan, it also includes: modifying existing experimental equipment based on the standardized description, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

[0016] Optionally, in one embodiment of the present application, after storing the various types of experimental results obtained in corresponding storage files, it also includes: obtaining a large amount of experimental result data stored in each type of storage file, and analyzing and mining the large amount of experimental result data based on big data technology to obtain the depth characteristics of the rock sample; wherein, analyzing and mining the large amount of experimental result data based on big data technology includes: performing statistical and computational processing on the large amount of experimental result data to solve various descriptive features of the large amount of experimental result data; and mining the relationship between different experimental features and the mechanical indicators based on the various descriptive features.

[0017] Optionally, in one embodiment of the present application, the standardized description of the rock mechanics experiment includes: a sample property module, a sample parameter module, a sample experiment module, an experiment solution module and a result output module; wherein the data stored in the sample property module include the shape and type of the rock sample; the data stored in the sample parameter module include multiple dimensional data of the rock sample; the data stored in the sample experiment module include the experimental environment, stress conditions and action surface; the data stored in the experiment solution module include the experimental principles and mechanical index solution formulas; the data stored in the result output module include various experimental results.

[0018] To achieve the above purpose, the second embodiment of the present application also proposes a standardized experimental device for rock mechanics experiments, including the following modules:

[0019] A collection module, used to collect multiple conventional rock mechanics experimental schemes, determine multiple experimental features of each conventional rock mechanics experiment, and split the links of each conventional rock mechanics experiment according to the multiple experimental features;

[0020] A storage module, used for storing each of the experimental features of each conventional rock mechanics experiment into a corresponding storage file according to a standard format corresponding to each of the experimental features, so as to generate a standardized description of the rock mechanics experiment;

[0021] An analysis module is used to obtain various experimental characteristics of the target sample to be tested through a variety of information collection methods, match and analyze the various experimental characteristics of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample;

[0022] An experimental module is used to extract a corresponding experimental scheme from the standardized description according to the target experiment type, perform an automated experiment on the target sample according to the extracted experimental scheme to obtain the mechanical indicators of the target sample, and store the various experimental results obtained in corresponding storage files, wherein the extracted experimental scheme includes a formula for solving the mechanical indicators.

[0023] In order to implement the above-mentioned embodiments, the third aspect embodiment of the present application also proposes a non-temporary computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the standardized experimental method of rock mechanics experiments in the above-mentioned first aspect embodiment is implemented.

[0024] The technical solution provided by the embodiment of the present application brings at least the following beneficial effects: the present application first splits the common rock mechanics experimental types according to the stress characteristics of the rock samples in different environmental fields, and stores them in a unified format. Then, by analyzing the various characteristics of the sample, the experimental type corresponding to the current sample and the experimental scheme such as the specific mechanical index theoretical solution formula can be automatically determined. After conducting the experiment according to the standardized process, the mechanical index of the sample and the corresponding other mechanical parameters can be directly obtained. Thus, the present application is based on the standardized experimental scheme description, and can carry out batch and automated rock mechanics experiments. Through the automation of laboratory equipment and the standardization of experimental processes, the effects of optimizing efficiency, reducing costs and quality control of rock mechanics experiments are achieved. The present application is conducive to carrying out batch testing, improving the efficiency of the experiment, reducing the experimental cost, and ensuring the accuracy and reliability of the experimental results.

[0025] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A flow chart of a standardized experimental method for rock mechanics experiments proposed in an embodiment of the present application;

[0028] Figure 2 A schematic diagram of a uniaxial compression experiment proposed in an embodiment of the present application;

[0029] Figure 3 A schematic diagram of a conventional triaxial compression test proposed in an embodiment of the present application;

[0030] Figure 4 A schematic diagram of a true triaxial compression test proposed in an embodiment of the present application;

[0031] Figure 5 A schematic diagram of a three-point bending test proposed in an embodiment of the present application;

[0032] Figure 6 A schematic diagram of another three-point bending test proposed in an embodiment of the present application;

[0033] Figure 7 A schematic diagram of a direct stretching experiment proposed in an embodiment of the present application;

[0034] Figure 8 A schematic diagram of a Brazilian splitting experiment proposed in an embodiment of the present application;

[0035] Fig. 9 A schematic diagram of the structure of a standardized experimental device for rock mechanics experiments proposed in an embodiment of the present application. DETAILED DESCRIPTION

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0037] A standardized experimental method and apparatus for rock mechanics experiments according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

[0038] Figure 1 A flow chart of a standardized experimental method for rock mechanics experiments proposed in the embodiments of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0039] Step S101, collecting a plurality of conventional rock mechanics experimental schemes, determining a plurality of experimental features of each conventional rock mechanics experiment, and splitting the links of each conventional rock mechanics experiment according to the plurality of experimental features.

[0040] Specifically, we first obtain various common rock mechanics experimental schemes. Since the collected rock mechanics experiments are existing routine experiments, the experimental schemes are known. We can directly obtain the specific experimental schemes of various conventional rock mechanics experiments by calling historical data and collecting relevant information.

[0041] It should be noted that the types and quantity of conventional rock mechanics experimental schemes collected in this application can be determined according to the needs of standardized experiments and the current actual situation in the field of rock mechanics parameter detection. For example, based on the various rock mechanics parameters to be solved in the standardized experiments, all the currently common rock mechanics experiments that can solve the above-mentioned rock mechanics parameters are collected.

[0042] In one embodiment of the present application, a variety of conventional rock mechanics experimental schemes are collected, including: uniaxial compression test, conventional triaxial compression test, true triaxial compression test, three-point bending test, direct tension test and Brazilian split test. Among them, the stress conditions in each of the above conventional rock mechanics experiments, such as Figures 2 to 8 shown.

[0043] Furthermore, multiple experimental characteristics of each conventional rock mechanics experiment are determined, and the links of each conventional rock mechanics experiment are split according to the multiple experimental characteristics.

[0044] Among them, the experimental characteristics are characteristic parameters related to rock mechanics experiments. The experimental characteristics can be parameters of rock samples, such as the size of the sample, etc., or parameters related to the experimental plan, such as the experimental environment, etc.

[0045] Specifically, in this embodiment, since the collected multiple conventional rock mechanics experimental schemes are known, it is known that multiple experimental characteristics of each experimental scheme can be directly obtained, for example, the experimental environment used is a force field, a temperature field or a magnetic field, and the force characteristics of the rock sample in the environmental field, for example, Figures 2 to 8 The compressive and tensile forces that may be encountered in different experiments are shown.

[0046] Furthermore, the purpose of this application is to split the existing and commonly used rock mechanics experimental types, and to split the various links involved in the above experimental types using a unified means or format. For example, based on the determination of each experimental feature, the links involved in the collected experimental schemes, including the determination of sample type, sample shape, sample size, environmental field and the form of environmental field action (generally including the area, direction, size and speed of the environmental field applied to the sample) during the experiment, are split. After the experimental scheme is split in detail by each experimental feature, it is convenient for subsequent corresponding storage in a regular and standard format.

[0047] Step S102, storing each experimental feature of each conventional rock mechanics experiment into a corresponding storage file according to a standard format corresponding to each experimental feature, so as to generate a standardized description of the rock mechanics experiment.

[0048] Specifically, a corresponding storage file is allocated in advance for each experimental feature. After the experimental features corresponding to each rock mechanics experiment are determined by analyzing the collected rock mechanics experimental schemes in the previous step, for each experimental feature, the specific experimental features of each conventional rock mechanics experiment are stored in the corresponding storage file according to the unified description format of the feature.

[0049] After the experimental plan is broken down in detail, this step stores the broken down links in a neat and standard format, including the direct output parameters involved in the experiment (such as the magnitude of the force, etc.), as well as the mechanical indicators that can be solved and the theoretical formulas required to solve the indicators.

[0050] The purpose of the above-mentioned experimental scheme splitting and detailed description of each experimental feature in this application is to achieve standardized description of various experimental types and standardized storage by splitting the various details of the experimental type, so as to facilitate the unified management of the experimental scheme, thereby providing technical support for subsequent actual standardized mechanical experiments.

[0051] In one embodiment of the present application, multiple experimental features include: sample type, sample shape, experimental environment, action surface, force direction and mechanical index solution formula. The above-mentioned characteristics can be determined by analyzing and collecting conventional rock mechanics experimental schemes. In addition, the experimental characteristics also include some characteristics obtained by detection and solution during the experiment, such as sample size and force size.

[0052] The following is a detailed description of each experimental feature involved in this application:

[0053] The first type is sample type. Sample types include parameters that can distinguish different samples, such as lithology, origin, sample number and serial number. For lithology, the lithology of samples that can be supported by each conventional rock mechanics experiment can be determined. Before the experiment, the lithology, origin, sample number and serial number of the sample can also be determined by various detection technologies and obtaining user input data.

[0054] For the sample type, it can be uniformly described by the various parameter keywords mentioned above, and the sample type of each experiment can be stored in the corresponding storage file.

[0055] The second type is sample shape. The sample shape in this application is the shape of the rock sample that is applicable to the collected conventional rock mechanics experimental scheme, including cuboid, cube, cylinder, disc, semi-disc, sphere and dog bone shape, etc. The sample shapes corresponding to different conventional rock mechanics experimental schemes can be stored in the corresponding storage files.

[0056] The third type is sample size. Sample size includes the sample's length, width, height, diameter, radius and other dimensional parameters. This feature is uniformly obtained by direct measurement during the experiment, and the units are uniformly in the International System of Units. The collected parameters are stored in the corresponding storage file.

[0057] The fourth type is the experimental environment. The experimental environment refers to the environmental field variables used in the experiment, including force field, temperature field, magnetic field, disturbance field, liquid field and gas field, etc. The environmental fields used in different conventional rock mechanics experimental schemes can be stored in the corresponding storage files.

[0058] The fifth type is the action surface. The action surface is the force-bearing surface of the sample, such as Figures 2 to 8 As shown, it can include the plane ends of the sample in the upper, lower, left, right, front and rear directions, as well as the stress-bearing surfaces such as the arc surface ends and semi-circular arc surface ends. The action surfaces corresponding to different conventional rock mechanics experimental schemes can be stored in the corresponding storage files.

[0059] The sixth type is the magnitude of the force. This feature can also be obtained in a unified manner through actual measurement during the experiment, and the actual test results obtained are stored in the corresponding storage file.

[0060] The seventh type is the direction of the force. In this application, the direction of the force is based on the normal direction, which is divided into normal inward (i.e., perpendicular to the action surface and pointing in the direction of the action surface) and normal outward (i.e., perpendicular to the action surface and away from the action surface). The force directions used in the collected different experimental schemes can be stored in the corresponding storage files.

[0061] The eighth type is the mechanical index solution formula. According to the different mechanical indexes to be obtained through the experiment, different mechanical calculation formulas are stored, and the parameters detected during the experiment, such as sample size and force, are substituted into the relevant solution formula to solve the corresponding mechanical index.

[0062] The ninth type is mechanical index. The mechanical index is the final experimental result obtained by solving the above-mentioned characteristics such as the force, the area of ​​the action surface and the mechanical index solution formula, and the experimental result data can be stored in the corresponding storage file.

[0063] It can be understood that, as described above, in this step, the specific data of some experimental characteristics can be determined by analyzing the collected experimental plans. For example, for a certain mechanical experiment, its experimental environment and force direction can be determined. For the characteristics that need to be measured experimentally and specified by the user during the experiment, they can be temporarily determined by "actual conditions" in this step.

[0064] As an example, the standardized description of rock mechanics experiments generated by this application is shown in Table 1 below.

[0065] Table 1 Standardized description table of rock mechanics experiments

[0066]

[0067]

[0068]

[0069]

[0070]

[0071] As shown in Table 1, the three-point bending test can be divided into two cases according to the sample shape: a semi-disk and a cube. This application splits a variety of conventional rock mechanics experimental schemes and stores them according to the corresponding experimental characteristics. A standard description of the experiment is formed between different storage files, that is, an organic whole as shown in Table 1.

[0072] Therefore, this application divides the collected common experimental schemes into multiple experimental features, standardizes the description or definition, and stores each feature in a unified format in the corresponding storage file, generating a standardized description of rock mechanics experiments. By completing these tasks, it is conducive to subsequent automated and batch experiments.

[0073] Step S103, obtaining various experimental characteristics of the target sample to be tested currently through a variety of information collection methods, matching and analyzing the various experimental characteristics of the target sample with the standardized description, and determining the target experiment type corresponding to the target sample.

[0074] Specifically, for the rock sample to be tested (referred to as the target sample in this application), the above-mentioned characteristics of the target sample are analyzed to automatically determine the type of experiment that needs to be performed on the target sample. Among them, the various experimental characteristics corresponding to the target sample can be obtained through a variety of information collection methods.

[0075] For example, the origin and serial number of the sample type can be obtained by receiving the data input by the user in the human-computer interaction interface of the experimental equipment. The sample size and the area of ​​the action surface can be measured by various measurement tools. The experimental environment and the mechanical indicators to be solved can be specified by the user according to the actual experimental needs.

[0076] As a possible implementation, each experimental feature of the target sample determined by the analysis can be matched with each experimental feature stored in the standardized description in the above embodiment, and the experimental scheme that matches each experimental feature is used as the target experiment type to be performed. For example, based on the supported experimental environment being a force field and the mechanical index to be solved being the compressive strength in one direction, the uniaxial compression experiment is determined as the target experiment type to be performed for the target sample. As another possible implementation, the user can also directly specify the type of experiment to be performed.

[0077] Step S104, extracting the corresponding experimental scheme from the standardized description according to the target experiment type, performing automated experiments on the target sample according to the extracted experimental scheme to obtain the mechanical indicators of the target sample, and storing the various experimental results obtained in the corresponding storage files, wherein the extracted experimental scheme includes the formula for solving the mechanical indicators.

[0078] Specifically, the specific implementation method of the experimental scheme is extracted from the standardized description according to the determined target experiment type, including the parameters that need to be tested, such as the area of ​​the action surface and the magnitude of the force during the experiment, as well as the formula for solving the mechanical indicators. The target sample is experimented according to the extracted experimental scheme, and the required mechanical indicators can be automatically solved.

[0079] For example, in a uniaxial compression test, the calculated uniaxial compression strength is determined by solving the formula based on the extracted mechanical index, which is equal to the maximum force value during the entire experiment divided by the area of ​​the action surface, where the calculation method of the action surface area is the same as the solution method specified in conventional geometry. For another example, in a conventional triaxial compression test, the conventional triaxial compression strength is equal to the maximum force acting on the upper and lower plane ends during the entire experiment divided by the area of ​​the plane ends.

[0080] It should be noted that the present application realizes the standardization of the experimental process and the automation of the experimental equipment. The user only needs to input the corresponding data according to different experimental characteristics in the interactive interface of the relevant application, store the user input data in the relevant storage file in the above embodiment, and perform the relevant operations from step S103 to step S104, so as to realize the automatic identification of the experimental type and the automation of the experimental process, and can realize the functions of automatic operation of the experimental equipment, optimization and selection of the experimental scheme, and autonomous collection and storage of experimental data.

[0081] In order to realize the automated operation of laboratory equipment and execute the standardized experimental method of this application, the experimental equipment needs to be modified and upgraded in advance so as to be used in the actual experimental process. To this end, in one embodiment of this application, before conducting batch experiments according to the corresponding experimental scheme, it also includes: modifying the existing experimental equipment based on the standardized description, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

[0082] Specifically, in this embodiment, the transformation of the experimental equipment includes allocating a corresponding storage file for each experimental feature in the database of the equipment for storing data, and developing a related human-computer interaction interface to receive data input by the user and display the experimental results to the user, so as to realize autonomous collection and storage of experimental data. In addition, the control module and the operation module of the experimental equipment are upgraded in terms of software programs and hardware devices to support automated and batch experimental operations.

[0083] For example, the human-computer interaction interface of the present application can list the experimental features that need to set data in a table, and the user enters the data in the corresponding position according to the name of the experimental feature. Then, the experimental equipment automatically stores the input data in the corresponding storage file, and after conducting the experiment according to the standardized experimental method of the present application, the experimental results are automatically stored in the corresponding storage file, and the experimental results are displayed in the table. For example, for the characteristics of sample size, force size and mechanical index value that are initially displayed as "actual situation" in Table 1 above, the values ​​obtained from the experiment are displayed in the corresponding position in the table after the experiment.

[0084] The process of batch testing of the present application is described below. In one embodiment of the present application, an automated experiment is performed on the target sample according to the extracted experimental scheme, including: when there are multiple target samples, the multiple target samples are divided according to the target experiment type corresponding to each target sample; for the same batch of target samples undergoing the same experiment, batch experiments are performed according to the corresponding experimental scheme.

[0085] Specifically, in this embodiment, when batch testing is carried out, after the data of each sample to be tested is input according to the method in the above embodiment, the experiment to be performed on each sample can be automatically determined. Then, the samples for the same type of experiment are divided into a batch, and based on the transformation and upgrading of the above experimental equipment, each sample in the batch can be tested at the same time, thereby improving the experimental efficiency.

[0086] Furthermore, since the present application realizes autonomous collection and storage of experimental data and automatic operation of experimental operations, the present application can obtain a large amount of experimental data. In order to promote the unified, effective management and deep mining and utilization of the acquired massive data, in one embodiment of the present application, after storing the various types of experimental results obtained in the corresponding storage files, it also includes: obtaining a large amount of experimental result data stored in each type of storage file, and analyzing and mining the large amount of experimental result data based on big data technology to obtain the deep characteristics of the rock sample; wherein, analyzing and mining a large amount of experimental result data based on big data technology includes: performing statistical and computational processing on a large amount of experimental result data to solve various descriptive features of a large amount of experimental result data; mining the relationship between different experimental characteristics and mechanical indicators based on various descriptive features.

[0087] Specifically, in this embodiment, a large amount of experimental result data stored in each type of storage file, that is, a large amount of historical experimental data automatically saved in the storage files corresponding to each experimental feature, is called, and the deep relationships in the acquired massive data are mined through big data analysis and mining technology, so as to further enrich the experimental results, improve data utilization, and obtain deep features in rock mechanics experiments.

[0088] As a possible implementation method, descriptive analysis and predictive analysis can be used when analyzing data. Among them, descriptive analysis is a basic statistical description of the acquired massive mechanical experimental data, for example, calculating the descriptive characteristics of the data such as the mean, variance and distribution.

[0089] Furthermore, the relationship between different experimental features and mechanical indicators is mined using the various descriptive features obtained. In the mining process, methods such as data regression and establishment of association rules can be used. A mathematical model is established through regression to describe the relationship between characteristic variables, and predictive analysis can be performed based on the obtained relationship. Predictive analysis is the use of the relationship between characteristic variables for model training. Through technologies such as deep learning, complex models can be established, and the trained model can be used to predict certain features of samples of different types and shapes. The association rule is to construct the association relationship between data items. In this embodiment, the actual experimental data and model prediction results can be combined to construct the relationship between different experimental features and mechanical indicators.

[0090] For example, the prediction model is used to predict certain mechanical indicators such as the uniaxial compression strength of samples of different lithology, size and shape, and the parameters of the prediction model are modified in combination with actual experimental data to improve the prediction accuracy. Based on the prediction of various input data by the tested model, the relationship between the lithology, size and shape of the rock sample and the uniaxial compression strength is roughly obtained.

[0091] In one embodiment of the present application, the standardized description of the rock mechanics experiment of the present application can also be divided into several modules, including: a sample property module, a sample parameter module, a sample experiment module, an experiment solution module and a result output module.

[0092] Among them, the data stored in the sample attribute module include the shape and type of rock samples, which may specifically include the shape, source, mining area and lithology of the samples. The data stored in the sample parameter module include multiple dimension data of rock samples, including length, width, height, diameter and weight. The data stored in the sample experiment module include data in the experiment process such as the experimental environment, force conditions and action surface; the data stored in the experimental solution module include experimental principles and mechanical index solution formulas, that is, the calculation formulas, calculation methods and calculation principles of various mechanical indicators. The data stored in the result output module include various experimental results, including mechanical indicators, deformation, displacement, strain, failure characteristics, etc.

[0093] In this embodiment, a storage folder corresponding to each of the above modules may be established to facilitate the storage of data output by each module.

[0094] It should be noted that the rock mechanics experiments applicable to this application are not limited to Figures 2 to 8The experiments shown in , other mechanical experiments can also be described and stored in a standardized manner according to the method of this application. After the common rock mechanics experimental scheme is split and described according to the above process, a series of parameters corresponding to each experimental feature are obtained and stored in modules. When the experiment is actually carried out, the data stored in each module is used for process calculation, thereby realizing the automation and standardization of rock mechanics experiments.

[0095] In summary, the standardized experimental method for rock mechanics experiments in the embodiments of the present application first splits the common rock mechanics experimental types according to the force characteristics of the rock samples in different environmental fields, and stores them in a unified format. Then, by analyzing the various characteristics of the sample, the experimental type corresponding to the current sample and the specific mechanical index theoretical solution formula and other experimental schemes can be automatically determined. After conducting the experiment according to the standardized process, the mechanical index of the sample and the corresponding other mechanical parameters can be directly obtained. Thus, the method is based on the standardized experimental scheme description, and can carry out batch and automated rock mechanics experiments. Through the automation of laboratory equipment and the standardization of experimental processes, the effects of optimizing efficiency, reducing costs and quality control of rock mechanics experiments are achieved. This method is conducive to carrying out batch testing, improving the efficiency of the experiment, reducing the experimental cost, and ensuring the accuracy and reliability of the experimental results.

[0096] In order to implement the above embodiment, the present application also proposes a standardized experimental device for rock mechanics experiments. Fig. 9 A schematic diagram of the structure of a standardized experimental device for rock mechanics experiments proposed in the embodiment of the present application is shown in FIG. Fig. 9 As shown, the device includes a collection module 100 , a storage module 200 , an analysis module 300 and an experiment module 400 .

[0097] The collection module 100 is used to collect a variety of conventional rock mechanics experimental schemes, determine a plurality of experimental features of each conventional rock mechanics experiment, and split the links of each conventional rock mechanics experiment according to the plurality of experimental features.

[0098] The storage module 200 is used to store each experimental feature of each conventional rock mechanics experiment into a corresponding storage file according to the standard format corresponding to each of the experimental features, so as to generate a standardized description of the rock mechanics experiment.

[0099] The analysis module 300 is used to obtain various experimental characteristics of the target sample to be tested through various information collection methods, match and analyze the various experimental characteristics of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample.

[0100] The experimental module 400 is used to extract the corresponding experimental plan from the standardized description according to the target experiment type, perform automated experiments on the target sample according to the extracted experimental plan to obtain the mechanical indicators of the target sample, and store the various experimental results obtained in the corresponding storage files, wherein the extracted experimental plan includes the formula for solving the mechanical indicators.

[0101] Optionally, in one embodiment of the present application, the experimental module 400 is specifically used to: when there are multiple target samples, divide the multiple target samples according to the target experiment type corresponding to each target sample; for the same batch of target samples undergoing the same experiment, perform batch experiments according to the corresponding experimental plan.

[0102] Optionally, in one embodiment of the present application, the experimental module 400 is specifically used to: modify existing experimental equipment based on standardized descriptions, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

[0103] Optionally, in one embodiment of the present application, the device also includes a mining module, which is specifically used to: obtain a large amount of experimental result data stored in each type of storage file, and analyze and mine the large amount of experimental result data based on big data technology to obtain the depth characteristics of the rock sample; wherein, the large amount of experimental result data is analyzed and mined based on big data technology, including: performing statistical and computational processing on a large amount of experimental result data to solve various descriptive features of a large amount of experimental result data; and mining the relationship between different experimental characteristics and mechanical indicators based on various descriptive features.

[0104] It should be noted that the explanation of the above-mentioned embodiment of the standardized experimental method for rock mechanics experiments is also applicable to the device of this embodiment, and the implementation principle is similar, which will not be repeated here.

[0105] In summary, the standardized experimental device for rock mechanics experiments in the embodiments of the present application first splits the common rock mechanics experimental types according to the stress characteristics of the rock samples in different environmental fields, and stores them in a unified format. Then, by analyzing the various characteristics of the sample, the experimental type corresponding to the current sample and the experimental scheme such as the specific mechanical index theoretical solution formula can be automatically determined. After conducting the experiment according to the standardized process, the mechanical index of the sample and the corresponding other mechanical parameters can be directly obtained. Thus, the device is based on the standardized experimental scheme description, and can carry out batch and automated rock mechanics experiments. Through the automation of laboratory equipment and the standardization of experimental processes, the effects of optimizing efficiency, reducing costs and quality control of rock mechanics experiments are achieved. The device is conducive to carrying out batch testing, improving the efficiency of the experiment, reducing the cost of the experiment, and ensuring the accuracy and reliability of the experimental results.

[0106] In order to implement the above embodiments, the present application also proposes a non-temporary computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, a standardized experimental method for rock mechanics experiments as described in any of the above embodiments is implemented.

[0107] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0108] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0109] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0110] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0111] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0112] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0113] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0114] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A standardized experimental method for rock mechanics experiments, characterized in that: The following steps are involved: Collecting multiple conventional rock mechanics experimental schemes, determining multiple experimental features of each conventional rock mechanics experiment, and splitting the links of each conventional rock mechanics experiment according to the multiple experimental features; According to the standard format corresponding to each of the experimental features, each of the conventional rock mechanics experiments is stored in a corresponding storage file to generate a standardized description of the rock mechanics experiment; Acquire various experimental features of the target sample to be tested by multiple information collection methods, match and analyze the various experimental features of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample; According to the target experiment type, a corresponding experimental scheme is extracted from the standardized description, and an automated experiment is performed on the target sample according to the extracted experimental scheme to obtain the mechanical indicators of the target sample, and the various experimental results obtained are stored in corresponding storage files, wherein the extracted experimental scheme includes a formula for solving the mechanical indicators.

2. The method according to claim 1, characterized in that The various conventional rock mechanics experimental schemes include: uniaxial compression test, conventional triaxial compression test, true triaxial compression test, three-point bending test, direct tension test and Brazilian splitting test; The multiple experimental characteristics include: sample type, sample shape, sample size, experimental environment, action surface, force direction, force magnitude and mechanical index solution formula.

3. The method according to claim 1, characterized in that The step of performing an automated experiment on the target sample according to the extracted experimental scheme comprises: When there are multiple target samples, the multiple target samples are divided according to the target experiment type corresponding to each target sample; For the same batch of target samples undergoing the same experiment, batch experiments are carried out according to the corresponding experimental plan.

4. The method according to claim 3, characterized in that: Before carrying out batch experiments according to the corresponding experimental scheme, the method further includes: Based on the standardized description, the existing experimental equipment is modified, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

5. The method according to claim 1, characterized in that After storing the obtained various experimental results in the corresponding storage files, the method further includes: Acquire a large amount of experimental result data stored in each type of storage file, and analyze and mine the large amount of experimental result data based on big data technology to obtain the depth characteristics of the rock sample; The analysis and mining of the large amount of experimental result data based on big data technology includes: Performing statistical and computational processing on the large amount of experimental result data to solve various descriptive features of the large amount of experimental result data; Based on the various descriptive features, the relationship between different experimental features and the mechanical indicators is mined.

6. The method according to claim 1, characterized in that The standardized description of the rock mechanics experiment includes: a sample attribute module, a sample parameter module, a sample experiment module, an experiment solution module and a result output module; wherein, The data stored in the sample attribute module include the shape and type of the rock sample; The data stored in the sample parameter module includes multiple dimension data of the rock sample; The data stored in the experimental module of the sample include the experimental environment, force conditions and action surface; The data stored in the experimental solution module include experimental principles and mechanical index solution formulas; The data stored in the result output module includes various experimental results.

7. A standardized experimental device for rock mechanics experiments, characterized in that: include: A collection module, used to collect multiple conventional rock mechanics experimental schemes, determine multiple experimental features of each conventional rock mechanics experiment, and split the links of each conventional rock mechanics experiment according to the multiple experimental features; A storage module, used for storing each of the experimental features of each conventional rock mechanics experiment into a corresponding storage file according to a standard format corresponding to each of the experimental features, so as to generate a standardized description of the rock mechanics experiment; An analysis module is used to obtain various experimental characteristics of the target sample to be tested through a variety of information collection methods, match and analyze the various experimental characteristics of the target sample with the standardized description, and determine the target experiment type corresponding to the target sample; An experimental module is used to extract a corresponding experimental scheme from the standardized description according to the target experiment type, perform an automated experiment on the target sample according to the extracted experimental scheme to obtain the mechanical indicators of the target sample, and store the various experimental results obtained in corresponding storage files, wherein the extracted experimental scheme includes a formula for solving the mechanical indicators.

8. The device according to claim 7, characterized in that The experimental module is specifically used for: When there are multiple target samples, the multiple target samples are divided according to the target experiment type corresponding to each target sample; For the same batch of target samples undergoing the same experiment, batch experiments are carried out according to the corresponding experimental plan.

9. The device according to claim 8, characterized in that The experimental module is specifically used for: Based on the standardized description, the existing experimental equipment is modified, wherein the modified experimental equipment supports automated and batch rock mechanics experiments.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the standardized experimental method for rock mechanics experiments described in any one of claims 1 to 6 is implemented.

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