Method, device and computer equipment for selecting filling material based on particle size analysis

Abstract

The embodiment of the application is suitable for the mining technical field, and provides a filling material selection method and device based on particle size analysis and a computer device. The method comprises the following steps: determining a plurality of filling materials available at present; respectively detecting the particle size distribution of each filling material; determining a plurality of empty fields to be filled at present, wherein the plurality of empty fields have different geological conditions; obtaining a target particle size distribution matched with the geological condition of each empty field, wherein the target particle size distribution is determined according to the filling material used by a plurality of filled empty fields; and selecting a target filling material for each empty field to be filled based on the particle size distribution of each filling material and the target particle size distribution. By using the above method, the type of filling material used for filling each empty field can be accurately determined, and the selection efficiency of the filling material is improved.

Description

Technical Field

[0001] This application relates to the field of mining technology, and in particular to a method, apparatus and computer equipment for selecting backfill materials based on particle size analysis. Background Technology

[0002] The particle size distribution of backfill materials, also known as the gradation of backfill materials, refers to the percentage content of particles of different sizes in granular backfill materials. The particle size distribution of backfill materials determines the entire backfilling process and has a significant impact on the concentration, flow properties, and stability of backfill slurry.

[0003] In existing technologies, the selection of filling materials for various voids is often based on the personal experience of the workers. Alternatively, various types of filling materials are tested one by one to verify their suitability for the voids to be filled. Selection based on personal experience is typically highly subjective and cannot determine the most suitable filling material. While testing each type of filling material individually improves accuracy, it is inefficient, requiring multiple tests to select the appropriate material for each void. Furthermore, in ore mining, numerous voids need to be filled; testing each one would incur enormous testing costs. Summary of the Invention

[0004] In view of this, embodiments of this application provide a method, apparatus, and computer device for selecting filling materials based on particle size analysis, which is used to select suitable filling materials for each void to be filled based on the particle size distribution of the filling materials actually used in the filled voids, thereby improving the selection efficiency of filling materials and ensuring the filling effect of voids.

[0005] The first aspect of this application provides a method for selecting filling materials based on particle size analysis, including:

[0006] Identify the various filling materials currently available;

[0007] The particle size distribution of each of the filling materials was detected separately.

[0008] Identify multiple vacant areas to be filled, where the multiple vacant areas have not completely identical geological conditions;

[0009] Obtain a target particle size distribution that matches the geological conditions of each of the voids, the target particle size distribution being determined based on the filling material used in the multiple filled voids;

[0010] Based on the particle size distribution of each of the filling materials and the target particle size distribution, a target filling material is selected for each of the vacancies to be filled.

[0011] Optionally, the particle size distribution includes a schematic diagram of the particle size distribution of each of the filling materials, and the step of detecting the particle size distribution of each of the filling materials includes:

[0012] The laser diffraction particle size analyzer is controlled to detect each of the filling materials;

[0013] Based on the detection results of the laser diffraction particle size analyzer, a schematic diagram of the particle size distribution of each of the filling materials is generated.

[0014] Optionally, generating a particle size distribution diagram for each type of filling material based on the detection results of the laser diffraction particle size analyzer includes:

[0015] The detection results output by the laser diffraction particle size analyzer are obtained, and the detection results include the identified multiple particle sizes and the proportion of the filling material for each particle size;

[0016] A schematic diagram of the particle size distribution of each of the aforementioned particle sizes and the proportion of the filling material for each particle size is drawn.

[0017] Optionally, obtaining the target particle size distribution that matches the geological conditions of each of the voids includes:

[0018] Determine the geological conditions of each of the vacant fields currently to be filled;

[0019] For each void to be filled, a target void is matched. The target void is a void that has been filled and whose geological conditions match the void to be filled with a degree exceeding a preset threshold.

[0020] Obtain the target particle size distribution of the filling material used to fill the target void.

[0021] Optionally, selecting a target filling material for each void to be filled based on the particle size distribution of each filling material and the target particle size distribution includes:

[0022] For any of the vacant spaces to be filled, the similarity between the target particle size distribution and the particle size distribution of each of the filling materials is determined.

[0023] The filling material corresponding to the particle size distribution that has the highest similarity to the target particle size distribution is used as the target filling material for the void to be filled.

[0024] Optionally, determining the similarity between the target particle size distribution and the particle size distribution of each filling material for any of the voids to be filled includes:

[0025] For any of the empty spaces to be filled, calculate the first area of ​​the schematic diagram corresponding to the target particle size distribution, and the second area of ​​the schematic diagram corresponding to the particle size distribution of each filling material.

[0026] The similarity is determined based on the first area and the second area.

[0027] Optionally, determining the similarity based on the first area and the second area includes:

[0028] Compare the absolute values ​​of the differences between the first area and the second area;

[0029] The similarity is determined based on the absolute value of the difference; wherein the magnitude of the absolute value of the difference is inversely proportional to the magnitude of the similarity.

[0030] A second aspect of this application provides a filling material selection device based on particle size analysis, comprising:

[0031] Available filling material determination module, used to determine the various filling materials currently available;

[0032] A particle size distribution detection module is used to detect the particle size distribution of each of the filling materials;

[0033] The unfilled void determination module is used to determine multiple voids to be filled, which have different geological conditions.

[0034] A target particle size distribution acquisition module is used to acquire a target particle size distribution that matches the geological conditions of each of the voids, the target particle size distribution being determined based on the filling material used in the multiple filled voids;

[0035] The target filling material selection module is used to select a target filling material for each void to be filled based on the particle size distribution of each filling material and the target particle size distribution.

[0036] Optionally, the particle size distribution includes a schematic diagram of the particle size distribution for each of the filling materials, and the particle size distribution detection module includes:

[0037] A laser diffraction particle size analyzer control submodule is used to control the laser diffraction particle size analyzer to detect each of the filling materials;

[0038] The particle size distribution diagram generation submodule is used to generate a particle size distribution diagram for each type of filling material based on the detection results of the laser diffraction particle size analyzer.

[0039] Optionally, the particle size distribution diagram generation submodule includes:

[0040] The detection result acquisition unit is used to acquire the detection results output by the laser diffraction particle size analyzer, the detection results including the identified multiple particle sizes and the proportion of the filling material for each particle size;

[0041] A particle size distribution diagram drawing unit is used to draw a particle size distribution diagram of each filling material based on the various particle sizes and the proportion of each particle size in the filling material.

[0042] Optionally, the target particle size distribution acquisition module includes:

[0043] The geological condition determination submodule is used to determine the geological conditions of each of the empty fields to be filled.

[0044] The target void matching submodule is used to match a target void for each void to be filled. The target void is a void that has been filled and whose geological conditions match the void to be filled with a preset threshold.

[0045] The target particle size distribution acquisition submodule is used to acquire the target particle size distribution of the filling material used to fill the target void.

[0046] Optionally, the target filling material selection module includes:

[0047] The similarity determination submodule is used to determine the similarity between the target particle size distribution and the particle size distribution of each filling material for any of the voids to be filled.

[0048] The target filling material selection submodule is used to select the filling material corresponding to the particle size distribution that has the greatest similarity to the target particle size distribution as the target filling material for the void to be filled.

[0049] Optionally, the similarity determination submodule includes:

[0050] An area calculation unit is used to calculate, for any of the voids to be filled, a first area of ​​the schematic diagram corresponding to the target particle size distribution, and a second area of ​​the schematic diagram corresponding to the particle size distribution of each of the filling materials;

[0051] A similarity determination unit is used to determine the similarity based on the first area and the second area.

[0052] Optionally, the similarity determination unit includes:

[0053] An area comparison subunit is used to compare the absolute value of the difference between the first area and the second area;

[0054] A similarity determination subunit is used to determine the similarity based on the absolute value of the difference; wherein the magnitude of the absolute value of the difference is inversely proportional to the magnitude of the similarity.

[0055] A third aspect of this application provides a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the particle size analysis-based filling material selection method as described in any of the first aspects above.

[0056] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the particle size analysis-based filling material selection method as described in any of the first aspects above.

[0057] A fifth aspect of this application provides a computer program product that, when run on a computer, causes the computer to perform the particle size analysis-based filling material selection method described in any of the first aspects above.

[0058] Compared with the prior art, the embodiments of this application have the following advantages:

[0059] In this embodiment, after determining the available filling materials, the particle size distribution of each material can be detected separately. For multiple voids to be filled, since the geological conditions of each void are different, when selecting a target filling material for each void, a target particle size distribution matching the geological conditions of each void can be obtained. This target particle size distribution can be determined based on the filling materials used in the multiple voids that have already been filled. Thus, based on the particle size distribution and target particle size distribution of each filling material, a target filling material can be selected for each void to be filled. By analyzing the particle size distribution of each filling material and combining it with the target particle size distribution of the already filled voids, this embodiment can quickly select suitable target filling materials for each void to be filled, ensuring that the target filling material matches the geological conditions of the corresponding voids, and guaranteeing the safety and reliability of the filling operation. Attached Figure Description

[0060] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0061] Figure 1This is a schematic diagram of a filling material selection method based on particle size analysis provided in an embodiment of this application;

[0062] Figure 2 This is a schematic diagram of one implementation of S102 in a method for selecting filling materials based on particle size analysis provided in an embodiment of this application;

[0063] Figure 3 This is a schematic diagram of one implementation of S1022 in a method for selecting filling materials based on particle size analysis provided in an embodiment of this application;

[0064] Figure 4 This is a schematic diagram of one implementation of S104 in a method for selecting filling materials based on particle size analysis provided in an embodiment of this application;

[0065] Figure 5 This is a schematic diagram of one implementation of S105 in a method for selecting filling materials based on particle size analysis provided in an embodiment of this application;

[0066] Figure 6 This is a schematic diagram of a filling material selection device based on particle size analysis provided in an embodiment of this application;

[0067] Figure 7 This is a schematic diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0068] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0069] The technical solution of this application will be described below through specific embodiments.

[0070] Reference Figure 1 This diagram illustrates a method for selecting filling materials based on particle size analysis, as provided in an embodiment of this application. Specifically, it may include the following steps:

[0071] S101. Identify the various filling materials currently available.

[0072] It should be noted that this method can be applied to computer devices; that is, the executing entity of this application embodiment can be a computer device, such as a mobile phone, laptop, tablet, desktop computer, or server. The computer device can apply the method provided in this application embodiment to select suitable filling materials for each empty space to be filled.

[0073] In this embodiment, the backfill material can be a material used to fill voids created during ore mining. Typically, the backfill material can be various types of sand and gravel. These sand and gravel, after processing, can be used to fill voids.

[0074] As an example of an embodiment of this application, various filling materials can be various types of sand and gravel, and the particle size of different types of sand and gravel can be different. The particle size of sand and gravel can generally be used to describe the size of sand and gravel particles. Sand and gravel with larger particle sizes can be sand and gravel with relatively large or coarse particles, while sand and gravel with smaller particle sizes can be sand and gravel with relatively small or fine particles. Sand and gravel with different particle sizes can be used to fill voids with different geological conditions.

[0075] S102. Detect the particle size distribution of each of the filling materials.

[0076] Take sand and gravel as an example as the filling material. Typically, the same type of sand and gravel may include a variety of sand and gravel with different particle sizes. For example, there are currently three types of sand and gravel: a, b, and c. Each type of sand and gravel is a mixture of sand and gravel with different particle sizes. The difference may only be the proportion of sand and gravel with different particle sizes.

[0077] Generally, the concentration, fluidity, and stability of the final slurry will vary depending on the content of fine sand and gravel particles in the backfill material. Therefore, a reasonable particle size distribution is extremely important for the production of high-quality slurry. Typically, parameters characterizing the appropriate particle size distribution of backfill materials include median diameter, average particle size, surface area, and particle uniformity coefficient.

[0078] In this embodiment of the application, in order to accurately determine what type of filling material can be used for each void, it is necessary to first detect the particle size distribution of various filling materials.

[0079] In one possible implementation of the embodiments of this application, such as Figure 2 As shown, detecting the particle size distribution of each filling material in S102 may specifically include the following steps S1021-S1022:

[0080] S1021. Control the laser diffraction particle size analyzer to detect each of the filling materials.

[0081] S1022. Based on the detection results of the laser diffraction particle size analyzer, generate a schematic diagram of the particle size distribution for each type of filling material.

[0082] In the embodiments of this application, a laser diffraction particle size analyzer can be used to detect each type of filling material. For example, a laser diffraction particle size analyzer can be used to detect various types of sand and gravel to obtain the particle size distribution of the sand and gravel.

[0083] A laser diffraction particle size analyzer is a physical property testing instrument used in the fields of chemistry, materials science, energy science and technology, and chemical engineering. It can measure the particle size of solid particles or emulsions, and is applicable to solid particles and emulsions within the particle size range of 0.02-2000 μm.

[0084] In this embodiment of the application, the computer device can generate a schematic diagram of the particle size distribution of each filling material based on the detection results of the laser diffraction particle size analyzer.

[0085] In one possible implementation of the embodiments of this application, such as Figure 3 As shown, in step S1022, generating a particle size distribution diagram for each filling material based on the detection results of the laser diffraction particle size analyzer can specifically include the following steps S1221-S1222:

[0086] S1221. Obtain the detection results output by the laser diffraction particle size analyzer, the detection results including the identified multiple particle sizes and the proportion of the filling material for each particle size.

[0087] S1222. Draw a schematic diagram of the particle size distribution of each of the aforementioned particle sizes and the proportion of the filling material for each of the aforementioned particle sizes.

[0088] In this embodiment, after using a laser diffraction particle size analyzer to detect the filling material, the analyzer can output corresponding detection results. These results can include various particle sizes of the filling material and the proportion of each particle size in the filling material. For example, by using a laser diffraction particle size analyzer to detect various types of sand and gravel, it is possible to obtain which particle sizes of sand and gravel are included in each type of sand and gravel, and the proportion of each particle size in the total sand and gravel.

[0089] Computer equipment can generate example particle size distribution diagrams for each type of filling material based on the detection results output by a laser diffraction particle size analyzer. Typically, in any type of filling material, a certain dominant particle size constitutes a large proportion. Therefore, the example particle size distribution diagram generated for any filling material will likely be a waveform diagram resembling a mountain peak, with a high center and low ends.

[0090] S103. Determine multiple empty spaces to be filled, wherein the multiple empty spaces have not completely identical geological conditions.

[0091] In this embodiment, the multiple open spaces can be those left after ore mining has been completed. For the safety of the ore body, these open spaces typically need to be filled.

[0092] Due to differences in location and mining methods, the geological conditions of different open areas vary. For open areas with different geological conditions, it is necessary to select appropriate filling materials that match those conditions to ensure the safety of the filled open area.

[0093] S104. Obtain a target particle size distribution that matches the geological conditions of each of the voids, the target particle size distribution being determined based on the filling material used in the multiple filled voids.

[0094] In this embodiment, the target particle size distribution can be the particle size distribution of filling materials suitable for filling each void, and these filling materials can be adapted to the geological conditions of the void to be filled. The target particle size distribution can be determined based on the actual filling materials used in each filled void. That is, computer equipment can determine the target particle size distribution based on relevant information of the filled void.

[0095] In one possible implementation of the embodiments of this application, such as Figure 4 As shown, obtaining the target particle size distribution matching the geological conditions of each void in S104 may specifically include the following steps S1041-S1043:

[0096] S1041. Determine the geological conditions of each of the voids to be filled.

[0097] S1042. Match a target void for each void to be filled. The target void is a void that has been filled and whose geological conditions match the void to be filled with a preset threshold.

[0098] In this embodiment of the application, since different open spaces have different geological conditions and different filling materials are required for different geological conditions, the geological conditions of the open space to be filled can be determined first, and then open spaces with similar geological conditions can be selected from the already filled open spaces based on the geological conditions.

[0099] In practice, the geological conditions of the void to be filled can be determined, and then the filled voids with a high degree of matching with the geological conditions can be retrieved from the historical operation database.

[0100] S1043. Obtain the target particle size distribution of the filling material used to fill the target void.

[0101] Because the geological conditions are similar, the filling materials used are likely to be highly similar as well. Therefore, after identifying the filled voids with similar geological conditions, the particle size distribution of the filling material used in those voids can be obtained, which is the target particle size distribution.

[0102] S105. Based on the particle size distribution and the target particle size distribution of each of the filling materials, a target filling material is selected for each of the vacant spaces to be filled.

[0103] In this embodiment, after the computer device obtains the target particle size distribution of the filling material actually used in filled vacant sites with similar geological conditions, it can select a target filling material for each vacant site to be filled based on the target particle size and the particle size distribution of various types of filling materials. The target filling material is the filling material that can be used to fill the corresponding vacant site. Using the target filling material to fill the corresponding vacant site can ensure the safety of the filled vacant site.

[0104] In one possible implementation of this application embodiment, selecting a target filling material for each void to be filled in step S105 based on the particle size distribution and target particle size distribution of each filling material may specifically include the following steps S1051-S1052:

[0105] S1051. For any of the empty spaces to be filled, determine the similarity between the target particle size distribution and the particle size distribution of each of the filling materials.

[0106] In this embodiment of the application, multiple empty spaces to be filled can be processed one by one, and the target filling material can be determined for each empty space.

[0107] For a given empty space, computer equipment can calculate the similarity between the target particle size distribution and the particle size distribution of each filling material, and select the target filling material based on the similarity.

[0108] In one possible implementation of this application, when calculating the similarity between the target particle size distribution and the particle size distribution of each filling material, the computer device can calculate, for any empty space to be filled, a first area of ​​the schematic diagram corresponding to the target particle size distribution and a second area of ​​the schematic diagram corresponding to the particle size distribution of each filling material. Then, the computer device can determine the similarity between the two based on the first and second areas.

[0109] In the embodiments of this application, the particle size distribution diagram and the target particle size distribution diagram of each filling material can be represented by a single-peak or multi-peak waveform diagram in a plane coordinate system. The size of the area enclosed by the waveform diagram and the horizontal axis is the area of ​​the corresponding particle size distribution diagram or the target particle size distribution diagram, which is the aforementioned first area and second area.

[0110] The similarity can be determined by comparing the absolute value of the difference between the first and second areas. Specifically, the magnitude of the absolute value of the difference is inversely proportional to the magnitude of the similarity. That is, the larger the absolute value of the difference between the first and second areas, the smaller the similarity between the corresponding particle size distribution diagram and the target particle size distribution diagram; conversely, the smaller the absolute value of the difference between the first and second areas, the greater the similarity between the corresponding particle size distribution diagram and the target particle size distribution diagram.

[0111] S1052. The filling material corresponding to the particle size distribution that has the greatest similarity to the target particle size distribution is used as the target filling material for the void to be filled.

[0112] After determining the similarity between the target particle size distribution and the particle size distribution of each type of filling material, the computer equipment can use the filling material corresponding to the maximum similarity as the target filling material for the empty space to be filled. In this way, workers can use the target filling material to fill the empty space.

[0113] It should be noted that the filling materials in this application embodiment are mainly various types of sand and gravel. When using the determined sand and gravel to fill the void, other auxiliary materials such as cement and additives need to be used according to the actual situation. This application embodiment does not limit this.

[0114] In this embodiment, after determining the available backfill materials, the particle size distribution of each material can be detected separately. For multiple voids to be filled, since the geological conditions of each void are different, when selecting a target backfill material for each void, a target particle size distribution matching the geological conditions of each void can be obtained. This target particle size distribution can be determined based on the backfill materials used in the multiple voids that have already been filled. Thus, based on the particle size distribution and target particle size distribution of each backfill material, a target backfill material can be selected for each void to be filled. By analyzing the particle size distribution of each backfill material and combining it with the target particle size distribution of the already filled voids, this embodiment can quickly select suitable target backfill materials for each void to be filled, ensuring that the target backfill material matches the geological conditions of the corresponding voids, and guaranteeing the safety and reliability of the backfilling operation.

[0115] It should be noted that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0116] Reference Figure 6 This illustration shows a schematic diagram of a filling material selection device based on particle size analysis provided in an embodiment of this application. Specifically, it may include an available filling material determination module 601, a particle size distribution detection module 602, a void to be filled determination module 603, a target particle size distribution acquisition module 604, and a target filling material selection module 605, wherein:

[0117] Available filling material determination module 601 is used to determine the various filling materials currently available;

[0118] The particle size distribution detection module 602 is used to detect the particle size distribution of each of the filling materials.

[0119] The unfilled void determination module 603 is used to determine multiple voids to be filled, which have different geological conditions.

[0120] The target particle size distribution acquisition module 604 is used to acquire a target particle size distribution that matches the geological conditions of each of the voids, the target particle size distribution being determined based on the filling material used in the multiple filled voids;

[0121] The target filling material selection module 605 is used to select a target filling material for each of the voids to be filled based on the particle size distribution of each filling material and the target particle size distribution.

[0122] In one possible implementation of this application embodiment, the particle size distribution may include a schematic diagram of the particle size distribution of each of the filling materials, and the particle size distribution detection module 602 may specifically be used for:

[0123] The laser diffraction particle size analyzer is controlled to detect each of the filling materials;

[0124] Based on the detection results of the laser diffraction particle size analyzer, a schematic diagram of the particle size distribution of each of the filling materials is generated.

[0125] In this embodiment of the application, the particle size distribution detection module 602 can also be used for:

[0126] The detection results output by the laser diffraction particle size analyzer are obtained, and the detection results may include the identified multiple particle sizes and the proportion of the filling material for each particle size;

[0127] A schematic diagram of the particle size distribution of each of the aforementioned particle sizes and the proportion of the filling material for each particle size is drawn.

[0128] In this embodiment of the application, the target particle size distribution acquisition module 604 can be specifically used for:

[0129] Determine the geological conditions of each of the vacant fields currently to be filled;

[0130] For each void to be filled, a target void is matched. The target void can be a void that has been filled and whose geological conditions match the void to be filled with a degree exceeding a preset threshold.

[0131] Obtain the target particle size distribution of the filling material used to fill the target void.

[0132] In this embodiment of the application, the target filling material selection module 605 can specifically be used for:

[0133] For any of the vacant spaces to be filled, the similarity between the target particle size distribution and the particle size distribution of each of the filling materials is determined.

[0134] The filling material corresponding to the particle size distribution that has the highest similarity to the target particle size distribution is used as the target filling material for the void to be filled.

[0135] In one possible implementation of this application embodiment, the target filling material selection module 605 may also be used for:

[0136] For any of the empty spaces to be filled, calculate the first area of ​​the schematic diagram corresponding to the target particle size distribution, and the second area of ​​the schematic diagram corresponding to the particle size distribution of each filling material.

[0137] The similarity is determined based on the first area and the second area.

[0138] In another possible implementation of this application embodiment, the target filling material selection module 605 may also be used for:

[0139] Compare the absolute values ​​of the differences between the first area and the second area;

[0140] The similarity is determined based on the absolute value of the difference; wherein the magnitude of the absolute value of the difference is inversely proportional to the magnitude of the similarity.

[0141] This application also provides a filling material selection device based on particle size analysis, which can be used to implement the steps in the aforementioned method embodiments.

[0142] As the apparatus embodiments are basically similar to the method embodiments, they are described in a relatively simple manner. For relevant details, please refer to the description in the method embodiment section.

[0143] Reference Figure 7 The diagram illustrates a computer device provided in an embodiment of this application. Figure 7 As shown, the computer device 700 in this embodiment includes: a processor 710, a memory 720, and a computer program 721 stored in the memory 720 and executable on the processor 710. When the processor 710 executes the computer program 721, it implements the steps in the various embodiments of the particle size analysis-based filling material selection method described above, for example... Figure 1 The steps S101 to S105 are shown. Alternatively, when the processor 710 executes the computer program 721, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 6 The functions of modules 601 to 605 are shown.

[0144] For example, the computer program 721 can be divided into one or more modules / units, which are stored in the memory 720 and executed by the processor 710 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which can be used to describe the execution process of the computer program 721 in the computer device 700. For example, the computer program 721 can be divided into a module for determining available filling materials, a particle size distribution detection module, a module for determining the void to be filled, a module for acquiring the target particle size distribution, and a module for selecting the target filling material. The specific functions of each module are as follows:

[0145] Available filling material determination module, used to determine the various filling materials currently available;

[0146] A particle size distribution detection module is used to detect the particle size distribution of each of the filling materials;

[0147] The unfilled void determination module is used to determine multiple voids to be filled, which have different geological conditions.

[0148] A target particle size distribution acquisition module is used to acquire a target particle size distribution that matches the geological conditions of each of the voids, the target particle size distribution being determined based on the filling material used in the multiple filled voids;

[0149] The target filling material selection module is used to select a target filling material for each void to be filled based on the particle size distribution of each filling material and the target particle size distribution.

[0150] The computer device 700 can be a computer device that implements the steps in the foregoing method embodiments. The computer device 700 can be a desktop computer, a cloud server, or other similar device. The computer device 700 may include, but is not limited to, a processor 710 and a memory 720. Those skilled in the art will understand that... Figure 7 This is merely one example of computer device 700 and does not constitute a limitation on computer device 700. It may include more or fewer components than shown, or combine certain components, or different components. For example, computer device 700 may also include input / output devices, network access devices, buses, etc.

[0151] The processor 710 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0152] The memory 720 can be an internal storage unit of the computer device 700, such as a hard disk or RAM of the computer device 700. The memory 720 can also be an external storage device of the computer device 700, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc., equipped on the computer device 700. Furthermore, the memory 720 can include both internal and external storage units of the computer device 700. The memory 720 is used to store the computer program 721 and other programs and data required by the computer device 700. The memory 720 can also be used to temporarily store data that has been output or will be output.

[0153] This application also discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the particle size analysis-based filling material selection method as described in the foregoing embodiments.

[0154] This application also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements the particle size analysis-based filling material selection method as described in the foregoing embodiments.

[0155] This application also discloses a computer program product that, when run on a computer, causes the computer to execute the particle size analysis-based filling material selection method described in the foregoing embodiments.

[0156] The embodiments described above are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for selecting filling materials based on particle size analysis, characterized in that, include: Identify the various filling materials currently available; The particle size distribution of each of the filling materials was detected separately. Identify multiple vacant areas to be filled, where the multiple vacant areas have not completely identical geological conditions; Determine the geological conditions of each of the vacant fields currently to be filled; For each void to be filled, a target void is matched. The target void is a void that has been filled and whose geological conditions match the void to be filled with a degree exceeding a preset threshold. Obtain the target particle size distribution of the filling material used to fill the target voids, the target particle size distribution being determined based on the filling materials used in the multiple voids that have already been filled; Based on the particle size distribution and the target particle size distribution of each of the filling materials, a target filling material is selected for each of the vacancies to be filled; The step of selecting a target filling material for each void to be filled based on the particle size distribution and the target particle size distribution of each filling material includes: For any of the vacant spaces to be filled, the similarity between the target particle size distribution and the particle size distribution of each of the filling materials is determined; the filling material corresponding to the particle size distribution with the highest similarity to the target particle size distribution is taken as the target filling material for the vacant space to be filled. For any of the vacant spaces to be filled, determining the similarity between the target particle size distribution and the particle size distribution of each of the filling materials includes: For any of the empty spaces to be filled, calculate the first area of ​​the schematic diagram corresponding to the target particle size distribution and the second area of ​​the schematic diagram corresponding to the particle size distribution of each filling material; determine the similarity based on the first area and the second area.

2. The method according to claim 1, characterized in that, The particle size distribution includes a schematic diagram of the particle size distribution of each of the filling materials, and the step of detecting the particle size distribution of each of the filling materials includes: The laser diffraction particle size analyzer is controlled to detect each of the filling materials; Based on the detection results of the laser diffraction particle size analyzer, a schematic diagram of the particle size distribution of each of the filling materials is generated.

3. The method according to claim 2, characterized in that, The step of generating a particle size distribution diagram for each type of filling material based on the detection results of the laser diffraction particle size analyzer includes: The detection results output by the laser diffraction particle size analyzer are obtained, and the detection results include the identified multiple particle sizes and the proportion of the filling material for each particle size; A schematic diagram of the particle size distribution of each of the aforementioned particle sizes and the proportion of the filling material for each particle size is drawn.

4. The method according to any one of claims 1 to 3, characterized in that, Determining the similarity based on the first area and the second area includes: Compare the absolute values ​​of the differences between the first area and the second area; The similarity is determined based on the absolute value of the difference; wherein the magnitude of the absolute value of the difference is inversely proportional to the magnitude of the similarity.

5. A filling material selection device based on particle size analysis, characterized in that, For implementing the filler material selection method based on particle size analysis as described in any one of claims 1 to 4, the apparatus comprises: Available filling material determination module, used to determine the various filling materials currently available; A particle size distribution detection module is used to detect the particle size distribution of each of the filling materials; The unfilled void determination module is used to determine multiple voids to be filled, which have different geological conditions. A target particle size distribution acquisition module is used to acquire a target particle size distribution that matches the geological conditions of each of the voids, the target particle size distribution being determined based on the filling material used in the multiple filled voids; The target filling material selection module is used to select a target filling material for each void to be filled based on the particle size distribution of each filling material and the target particle size distribution.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the filling material selection method based on particle size analysis as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the filling material selection method based on particle size analysis as described in any one of claims 1 to 4.

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