Mine blasting method and system

By obtaining and integrated mine structure information, data mining and filtering are performed, and the mine blasting scheme is generated to solve the problem of choice and structural stability guarantee under different mines under the conditions of different mines, and improves the safety of mine blasting.

CN118297745BActive Publication Date: 2025-01-28HEBEI JINYU DINGXIN CEMENT CO LTD
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Patent Information

Application Number
CN202410459680.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-17
Publication Date
2025-01-28
Estimated Expiration
2044-04-17

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively solve the problems of mine blasting methods and structural stability guarantee caused by differences in rock properties, geological conditions and mining scale in different mines.

Method used

By obtaining the conventional mine structure information of the designated mine, the excavation and filtering processing are performed, the structure information of the key mine is integrated, and a mine blasting scheme is generated.

Benefits of technology

Precisely determine the ore structure, formulate a blasting plan according to various interference factors, improve the safety of ore blasting, and avoid the occurrence of unprepared situations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application discloses a mine blasting method and system. The mine blasting method includes obtaining conventional mine structure information of a designated mine; mining the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information; filtering the mining results; integrating the filtered mining results with key mine structure information of the designated mine to obtain integrated results; analyzing the integrated results to obtain a corresponding mine blasting plan. The present application can accurately determine the ore structure and can formulate a blasting plan for the mine according to various interference factors, thereby improving the safety of mine blasting and avoiding uncontrollable situations.
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Description

Technical Field

[0001] The present invention relates to the technical field of mine structure analysis, and in particular to a mine blasting method and system. Background Art

[0002] As a key link in the mining of mineral resources, the development and progress of mining blasting technology is of great significance to improving mining efficiency, reducing costs and ensuring production safety. With the continuous advancement of science and technology, mining blasting methods are also constantly innovating and improving to adapt to the mining needs and conditions of different mines.

[0003] Although mine structure analysis technology has made significant progress, it still faces some challenges in practical application. For example, the rock properties, geological conditions, mining scale and other factors of different mines vary greatly, and it is necessary to select appropriate blasting methods and parameters according to specific circumstances. How to blast the mine and how to ensure the structural stability of the mine is a technical problem that is difficult to solve at present. Summary of the invention

[0004] The main purpose of the present invention is to propose a mine blasting method, aiming to solve the technical problems of how to blast a mine and how to ensure the structural stability of the mine.

[0005] To solve the above technical problems, the first technical solution adopted in the present application is: a mine blasting method, comprising: obtaining conventional mine structure information of a designated mine; mining the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information; filtering the mining results, wherein the mining depth of the mining process is greater than the filtering range of the filtering process; integrating the filtered mining results with the key mine structure information in the designated mine to obtain an integrated result; wherein the mining process of the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information includes: mining the key mine features of the conventional mine structure information; analyzing the integrated results to obtain a corresponding mine blasting plan.

[0006] The mining process of the conventional mine structure information to obtain the mining result corresponding to the conventional mine structure information includes:

[0007] Reducing the key mine features of the conventional mine structure information to a first dimension;

[0008] The conventional mine structure information located in the first dimension is mined to obtain the mining result.

[0009] The mining process of the conventional mine structure information in the first dimension to obtain the mining result includes:

[0010] deriving the key mine features of the mining results into a second dimension;

[0011] combining the mining result in the second dimension with conventional mine structure information corresponding to the designated mine to obtain a combined mining result;

[0012] The combined mining results are filtered, wherein a mining depth of the mining process is greater than a filtering range of the filtering process.

[0013] Before deriving the key features of the mining results to the second dimension, the method includes: determining the detail level of the key features of the mine in the conventional mine structure information as the second dimension.

[0014] The filtering process of the mining results includes:

[0015] Detecting constraint coefficient information of a valid data area of ​​the mining result;

[0016] Determine data filtering parameters using the constraint coefficient information according to a pre-set calculation method;

[0017] The mining result is filtered using the filtering parameters.

[0018] The parameter information of the valid data area of ​​the mining result is detected, including:

[0019] When the valid data region of the mining result includes at least two valid data sub-regions, detecting the parameter information of each of the valid data sub-regions respectively;

[0020] The determining of data filtering parameters using the constraint coefficient information according to a pre-set calculation method includes:

[0021] Determine the data filtering parameters corresponding to each of the parameter information respectively according to a pre-set calculation method;

[0022] Filtering the mining results using the filtering parameters includes:

[0023] The data filtering parameters of each of the valid data are used to filter the corresponding valid data sub-region in the valid data region of the mining result.

[0024] Wherein, the obtaining of conventional mine structure information of a designated mine includes:

[0025] Obtaining criteria for distinguishing critical mine structure information from conventional mine structure information in the specified mine;

[0026] The standard is used to filter out conventional mine structure information corresponding to the designated mine.

[0027] The second technical solution adopted in the present application is: a mine blasting system, comprising a processor and a memory communicating with each other, wherein the processor is used to read and execute a computer program from the memory to implement the above method.

[0028] The beneficial effects of the present application are as follows: by acquiring conventional mine structure information of a designated mine; mining the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information; filtering the mining results, wherein the mining depth of the mining processing is greater than the filtering range of the filtering processing; integrating the filtered mining results with the key mine structure information in the designated mine to obtain an integrated result; wherein the mining processing of the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information includes: mining the key mine features of the conventional mine structure information; analyzing the integrated results to obtain a corresponding mine blasting plan; being able to accurately determine the ore structure, and being able to formulate a blasting plan for the mine based on various interference factors, thereby being able to improve the safety of mine blasting and avoid uncontrollable situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0030] Figure 1 This is a schematic diagram of the process of an embodiment of the mine blasting method of the present application. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1 , Figure 1 Schematic diagram of the process of the mining blasting method embodiment of the present application. Figure 1 As shown, the mine blasting method of this embodiment includes the following steps:

[0033] S101: Obtaining general mine structure information of a designated mine.

[0034] The designated mine may be the entire mine to be excavated or a part of the mine to be excavated; that is, the conventional mine structure information may be the conventional mine structure information of the entire mine to be excavated or a part of the mine to be excavated, and the present invention does not limit this.

[0035] In the process of obtaining conventional mine structure information of a designated mine, first obtain the standard for distinguishing key mine structure information from conventional mine structure information in the designated mine; then use the standard to filter out conventional mine structure information corresponding to the designated mine. Key mine structure information can be the ore distribution of the designated mine, and conventional mine information can be groundwater information, cave distribution, and external environmental factors (such as weather, buildings on the mine, etc.) of the designated mine. The standard can be established based on the hardness, color, etc. of the ore in the key mine structure information. For example, the ore is sampled before blasting to obtain the hardness of the ore, and a hardness range is established. The hardness range is then used to distinguish the structural information of the designated mine. The key mine structure information is within the hardness range, and the rest is conventional mine structure information. Of course, the standard can also be established in other ways, and the present invention is not limited to this.

[0036] Before obtaining the standard for distinguishing the key mine structure information from the conventional mine structure information in the designated mine, the designated mine can also be three-dimensionally modeled to establish a three-dimensional model of the designated mine; after using the standard to filter out the conventional mine structure information corresponding to the designated mine, the key mine structure information and the conventional mine structure information can be distinguished by color in the three-dimensional model, so that the key mine structure information and the conventional mine structure information can be intuitively obtained or seen.

[0037] S102: mining the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information;

[0038] After obtaining the conventional mine structure information of the designated mine, the conventional mine structure information is mined; specifically, the conventional mine structure information includes at least one key mine feature, that is, a feature that will have a significant impact on mine blasting, such as the groundwater, cave distribution, geological conditions, and external environmental factors (such as weather, buildings on the mine, etc.) of the designated mine. Mining the conventional mine structure information means mining the key mine features to obtain mining results.

[0039] In some embodiments, before mining the conventional mine structure information, the key mine features of the conventional mine structure information are reduced to a first dimension. Reducing the key mine features of the conventional mine structure information is actually preprocessing the key mine features, aiming to reduce the complexity of the data while retaining key information for subsequent mining analysis.

[0040] The conventional mine structure information located in the first dimension is mined to obtain the mining result. In this stage, various data mining algorithms, such as classification, clustering, association rule mining, etc., can be used to discover patterns, associations and trends in the data to obtain mining results, which is not limited in this application.

[0041] Before mining, the key features of conventional mine structure information are reduced in dimension, and then mining is performed on the reduced conventional mine structure information. Compared with directly mining conventional mine structure information, the data volume of the former is relatively simple, and the difficulty of mining is reduced. For example, when blasting a large mine, the ore structure can be accurately determined because the data volume becomes relatively simple, and a blasting plan can be formulated for the mine based on various interference factors. This can improve the safety of mine blasting and avoid uncontrollable situations.

[0042] When mining a small mine or part of a large mine, its conventional mine structure information can also be mined directly; specifically, the conventional mine structure information of a small mine or part of a large mine is relatively simple, and directly mining it can also obtain accurate mining results and avoid uncontrollable situations in the future.

[0043] After obtaining the mining results, the detail level of the mining results is derived into a second dimension. Before deriving the detail level of the mining results into the second dimension, the detail level of the key mine features in the conventional mine structure information can be determined as the second dimension. That is, the detail level of the mining results is restored to the detail level of the key mine features of the original conventional mine structure information.

[0044] The mining result in the second dimension is combined with the conventional mine structure information corresponding to the designated mine to obtain a combined mining result. The combination may be performed by fusing the conventional mine structure information with the mining result in a spatial position to obtain a combined mining result.

[0045] S103: Filter the mining results, wherein a mining depth of the mining process is greater than a filtering range of the filtering process.

[0046] The mining result may be obtained by directly mining the conventional mine structure information, or may be obtained by combining the mining result in the second dimension with the conventional mine structure information.

[0047] Before filtering, the excavation depth of the excavation is obtained. The filtering range corresponding to the excavation depth is obtained according to a preset ratio. The preset ratio is the ratio of the excavation depth to the filtering range. The preset ratio can be set by the user or by the system.

[0048] The filtering range of the filtering process is automatically obtained by obtaining the mining depth of the mining process, without the need for the user to input the filtering range himself, thus avoiding the problem of filtering out the key mine data because the filtering range input by the user is greater than the mining depth.

[0049] Among them, the constraint coefficient information of the valid data area of ​​the mining result is detected. Among them, the valid data area of ​​the mining result refers to the data range obtained during the mining process and has practical significance for the mine structure analysis. These data may include the influence range of the mine's groundwater, caves, weather, etc. on the mine during blasting. The constraint coefficient information is a set of parameters that quantitatively describe these valid data areas. These parameters may include but are not limited to the accuracy, reliability, and completeness of the data, as well as the correlation or dependence between data. For example, the accuracy of the data can be expressed by an error range or confidence level; the integrity of the data can be measured by the range of data coverage or the proportion of missing data; the correlation between data can be evaluated by methods such as correlation analysis or cluster analysis.

[0050] The constraint coefficient information is used to determine the data filtering parameters according to the pre-set calculation method. The mining results are filtered using the data filtering parameters, wherein the set calculation method can be implemented by sorting out the blasting data of a large number of mines and fitting the calculation method.

[0051] By comprehensively determining the data filtering parameters based on the constraint coefficient information, data filtering can be performed according to the actual conditions of different mine structures. This can accurately determine the ore structure and develop a blasting plan for the mine based on various interference factors. This can improve the safety of mine blasting and avoid uncontrollable situations.

[0052] When the valid data area of ​​the mining result includes at least two valid data sub-areas, the parameter information of each valid data sub-area is detected respectively. The data filtering parameters corresponding to each parameter information are determined respectively according to a pre-set calculation method. The corresponding valid data sub-area in the valid data area of ​​the mining result is filtered using the data filtering parameters of each valid data respectively. That is, different data filtering parameters can be used for each valid data.

[0053] By determining the data filtering parameters according to the conditions of different sub-areas, instead of using the same data filtering parameters for each sub-area when there are multiple sub-areas, the ore structure can be accurately determined and a blasting plan can be formulated for the mine based on various interference factors. This can improve the safety of mine blasting and avoid uncontrollable situations.

[0054] S104: Integrate the filtered mining results with the key mine structure information of the designated mine to obtain an integrated result.

[0055] Among them, the filtered mining results are spatially aligned and matched with the key mine structure information to obtain the integrated results.

[0056] S105: Analyze the integration result to obtain a corresponding mine blasting plan.

[0057] Since the integration results have removed noise and irrelevant information, the most critical data for mine structure analysis is retained; by analyzing the key data, the mine blasting plan can be more perfect, which can improve the safety of mine blasting and avoid uncontrollable situations.

[0058] The present application also proposes a mine blasting system, including a processor and a memory communicating with each other, wherein the processor is used to read and execute a computer program from the memory to implement a mine blasting method.

[0059] The processor is also used to store structural information of the mine to be mined, mining results after mining conventional mine structural information, filtered mining results after filtering the mining results, and integrate the filtered mining results with key mine structural information of the designated mine to obtain an integrated result or a blasting plan.

[0060] The processor is used to obtain conventional mine structure information from a designated mine. In the process of obtaining conventional mine structure information of a designated mine, the processor first obtains the standard for distinguishing key mine structure information from conventional mine structure information in the designated mine; then the conventional mine structure information corresponding to the designated mine can be screened out using the standard. Key mine structure information can be the ore distribution of the designated mine, and conventional mine information can be groundwater information, cave distribution, and external environmental factors (such as weather, buildings on the mine, etc.) of the designated mine. The standard can be established based on the hardness, color, etc. of the ore in the key mine structure information. For example, the ore is sampled before blasting to obtain the hardness of the ore, and a hardness range is established. The hardness range is then used to distinguish the structural information of the designated mine. The key mine structure information is within the hardness range, and the rest is conventional mine structure information. Of course, the standard can also be established in other ways, and the present invention is not limited to this.

[0061] Before obtaining the standard for distinguishing the key mine structure information from the conventional mine structure information in the specified mine, the processor can also perform three-dimensional modeling on the specified mine to establish a three-dimensional model of the specified mine; after using the standard to filter out the conventional mine structure information corresponding to the specified mine, the key mine structure information and the conventional mine structure information can be distinguished by color in the three-dimensional model, so that the key mine structure information and the conventional mine structure information can be intuitively obtained or seen.

[0062] After the processor obtains the conventional mine structure information of the designated mine, it mines the conventional mine structure information; specifically, the conventional mine structure information includes at least one key mine feature, that is, a feature that will have a significant impact on mine blasting, such as groundwater, cave distribution, geological conditions, external environmental factors (such as weather, buildings on the mine, etc.) of the designated mine, etc. The conventional mine structure information is mined, that is, the key mine features are mined to obtain the mining results.

[0063] In some embodiments, the processor reduces the dimension of the key mine features of the conventional mine structure information to the first dimension before mining the conventional mine structure information. Reducing the dimension of the key mine features of the conventional mine structure information is actually preprocessing the key mine features to reduce the complexity of the data while retaining the key information for subsequent mining analysis.

[0064] The processor mines the conventional mine structure information located in the first dimension to obtain the mining result. In this stage, we can use various data mining algorithms, such as classification, clustering, association rule mining, etc., to discover patterns, associations and trends in the data and obtain mining results, which is not limited in this application.

[0065] Before mining, the processor reduces the dimension of the key features of conventional mine structure information, and then mines the reduced conventional mine structure information. Compared with directly mining conventional mine structure information, the data volume of the former is relatively simple, and the difficulty of mining is reduced. For example, when blasting a large mine, the accuracy or availability of the mining results of the mining process increases, because the data volume becomes relatively simple, and the uncontrollable situation that occurs later is reduced.

[0066] When mining a small mine or part of a large mine, the processor can also directly mine its conventional mine structure information; specifically, the conventional mine structure information of a small mine or part of a large mine is relatively simple, and directly mining it can also obtain accurate mining results and avoid uncontrollable situations in the future.

[0067] After obtaining the mining result, the processor derives the detail level of the mining result to a second dimension. Before deriving the detail level of the mining result to the second dimension, the detail level of the key mine features in the conventional mine structure information may be determined as the second dimension. That is, the detail level of the mining result is restored to the detail level of the key mine features of the original conventional mine structure information.

[0068] The processor combines the mining result in the second dimension with the conventional mine structure information corresponding to the designated mine to obtain a combined mining result. The combination may be performed by fusing the conventional mine structure information with the mining result in a spatial position to obtain a combined mining result.

[0069] Before filtering, the processor obtains the excavation depth of the excavation process. The filter range corresponding to the excavation depth is obtained according to a preset ratio. The preset ratio is the ratio of the excavation depth to the filter range. The preset ratio can be set by the user or by the system.

[0070] The processor detects the constraint coefficient information of the valid data area of ​​the mining result. The valid data area of ​​the mining result refers to the data range obtained during the mining process that is of practical significance to the mine structure analysis. These data may include the influence of groundwater, caves, weather, etc. on the mine during blasting. The constraint coefficient information is a set of parameters that quantitatively describe these valid data areas. These parameters may include but are not limited to the accuracy, reliability, and completeness of the data, as well as the correlation or dependency between data. For example, the accuracy of the data can be expressed by an error range or confidence level; the integrity of the data can be measured by the range of data coverage or the proportion of missing data; the correlation between data can be evaluated by methods such as correlation analysis or cluster analysis.

[0071] The constraint coefficient information is used to determine the data filtering parameters according to the pre-set calculation method. The mining results are filtered using the data filtering parameters, wherein the set calculation method can be implemented by sorting out the blasting data of a large number of mines and fitting the calculation method.

[0072] When the valid data area of ​​the mining result includes at least two valid data sub-areas, the processor detects the parameter information of each valid data sub-area respectively. The processor determines the data filtering parameters corresponding to each parameter information according to a pre-set calculation method. The processor uses the data filtering parameters of each valid data to filter the corresponding valid data sub-area in the valid data area of ​​the mining result respectively. That is, different data filtering parameters can be used for each valid data.

[0073] The processor spatially aligns and matches the filtered mining results with key mine structure information to obtain integrated results.

[0074] The processor analyzes the integration result to obtain a corresponding mine blasting plan.

[0075] Although the present application provides a method for mine blasting, it is not limited to mine blasting and can also be applied to other fields that require blasting design.

[0076] The above description is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present application.

[0077] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0078] In summary, based on the above scheme, by obtaining the conventional mine structure information of the designated mine; mining the conventional mine structure information to obtain the mining results corresponding to the conventional mine structure information; filtering the mining results, wherein the mining depth of the mining processing is greater than the filtering range of the filtering processing; integrating the filtered mining results with the key mine structure information in the designated mine to obtain an integrated result; wherein, mining the conventional mine structure information to obtain the mining results corresponding to the conventional mine structure information includes: mining the key mine features of the conventional mine structure information; analyzing the integrated results to obtain the corresponding mine blasting plan; the ore structure can be accurately determined, and a blasting plan can be formulated for the mine according to various interference factors, which can improve the safety of mine blasting and avoid uncontrollable situations.

[0079] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).

[0080] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other possible beneficial effects.

Claims

1. A mine blasting method, characterized in that: include: Get general mine structure information for a given mine; Performing mining processing on the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information; Performing filtering processing on the mining results, wherein a mining depth of the mining processing is greater than a filtering range of the filtering processing; Integrating the filtered mining results with key mine structure information in the designated mine to obtain an integrated result; Before filtering the mining results, the following steps are included: Get the excavation depth of the excavation process; Obtaining a filtering range corresponding to the excavation depth according to a preset ratio; The filtering process of the mining result includes: Detecting constraint coefficient information of a valid data area of ​​the mining result; Determine data filtering parameters using the constraint coefficient information according to a pre-set calculation method; Using the filtering parameters to filter the mining results; The detecting constraint coefficient information of the valid data area of ​​the mining result includes: When the valid data region of the mining result includes at least two valid data sub-regions, detecting parameter information of each of the valid data sub-regions respectively; The determining of data filtering parameters using the constraint coefficient information according to a pre-set calculation method includes: Determine the data filtering parameters corresponding to each of the parameter information respectively according to a pre-set calculation method; Filtering the mining results using the filtering parameters includes: The data filtering parameters of each of the valid data are used to filter the corresponding valid data sub-region in the valid data region of the mining result.

2. The method according to claim 1, characterized in that The mining process of the conventional mine structure information to obtain mining results corresponding to the conventional mine structure information includes: mining key mine features of the conventional mine structure information; The integration results are analyzed to obtain a corresponding mine blasting plan.

3. The method according to claim 1, characterized in that The mining process of the conventional mine structure information to obtain the mining result corresponding to the conventional mine structure information includes: Reducing the key mine features of the conventional mine structure information to a first dimension; The conventional mine structure information located in the first dimension is mined to obtain the mining result.

4. A mine blasting method according to claim 3, characterized in that: The mining process is performed on the conventional mine structure information located in the first dimension to obtain the mining result, comprising: deriving the key mine features of the mining results into a second dimension; combining the mining result in the second dimension with conventional mine structure information corresponding to the designated mine to obtain a combined mining result; The combined mining results are filtered, wherein a mining depth of the mining process is greater than a filtering range of the filtering process.

5. The method according to claim 4, characterized in that Before deriving the key features of the mining results into the second dimension, the method includes: determining the detail level of the key features of the mine in the conventional mine structure information as the second dimension.

6. The method according to claim 1, characterized in that The obtaining of conventional mine structure information of a specified mine includes: Obtaining criteria for distinguishing critical mine structure information from conventional mine structure information in the specified mine; The standard is used to filter out conventional mine structure information corresponding to the designated mine.

7. A mine blasting system, characterized in that: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 6.

Citation Information

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