A method and system for intelligent acquisition of real-time mine data

Abstract

This application provides a method and system for intelligent acquisition of real-time mining data. It continues the execution of data acquisition commands from optimized local instruction arrangements obtained through key deployments, avoiding the problem of inaccurate final execution results for data acquisition commands due to unreasonable local instruction arrangements. This improves the quality of both the local instruction arrangements and the execution results. Through dynamic verification and a real-time key deployment mechanism, the adaptability and robustness of handling complex data acquisition commands are significantly enhanced. Iterative optimization ensures the quality and confidence of intelligent acquisition results for real-time mining data. Furthermore, by optimizing and continuing the execution of specific local instruction arrangements that do not meet the requirements based on the quality verification results of the execution results, the confidence of data acquisition command execution can be significantly improved, thereby enhancing the accuracy of intelligent data acquisition.

Description

Technical Field

[0001] This application relates to the field of intelligent data acquisition technology, and more specifically, to an intelligent acquisition method and system for real-time mine data. Background Technology

[0002] Mining, as a crucial link in energy and industrial production, operates in a complex environment with dispersed equipment and stringent safety management requirements, placing stringent demands on the real-time performance, accuracy, and stability of data acquisition. Current mine data acquisition methods largely rely on pre-set acquisition rules, fixed acquisition nodes, and unidirectional execution processes, commonly exhibiting the following problems: traditional acquisition schemes are often deployed only once, making dynamic adjustments based on on-site acquisition quality difficult; the acquisition task execution process lacks closed-loop verification, failing to promptly identify data gaps, anomalies, and inaccuracies; unreasonable local acquisition instructions can easily propagate to the overall acquisition results, leading to insufficient data accuracy and low acquisition efficiency; while some systems possess basic verification capabilities, they lack an intelligent closed loop of "execution—verification—optimization—iteration," making them unsuitable for the multi-source, heterogeneous, and highly real-time data acquisition scenarios in mines.

[0003] With the advancement of intelligent and unmanned mining construction, existing data acquisition methods have significant shortcomings in adaptability, robustness, and self-optimization capabilities, making it difficult to meet the demands for high-precision, high-reliability real-time mine data acquisition. To address these deficiencies, there is an urgent need for an intelligent data acquisition method capable of dynamic verification, local optimization, and iterative execution. This method would continuously improve data acquisition accuracy and system stability through step-by-step deployment of acquisition commands, real-time execution quality verification, and adaptive optimization of key processes, thereby ensuring data support capabilities for mine production monitoring, safety early warning, and equipment management. This invention aims to provide an intelligent real-time mine data acquisition method and system to overcome the shortcomings of existing technologies. Summary of the Invention

[0004] To address the technical problems existing in related technologies, this application provides an intelligent method and system for real-time mining data acquisition.

[0005] Firstly, a method for intelligent acquisition of real-time mine data is provided, the method comprising: Obtain data acquisition instructions that need to be processed, deploy data acquisition instructions based on the data acquisition instructions that need to be processed, and obtain the original data acquisition instruction deployment, wherein the original data acquisition instruction deployment includes several data acquisition local instruction arrangements; The plurality of data acquisition local instruction arrangements are executed sequentially, and the execution results of the real-time data acquisition local instruction arrangements executed in the plurality of data acquisition local instruction arrangements are checked for quality, so as to obtain the check results corresponding to the real-time data acquisition local instruction arrangements; If the verification result does not meet the pre-set key deployment requirements, the key deployment of the real-time data acquisition local indication arrangement is carried out based on the verification result to obtain an optimized data acquisition local indication arrangement; The original data acquisition instruction deployment is optimized according to the optimized data acquisition local instruction arrangement, and execution continues from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0006] In this application, the step of optimizing the deployment of the original data acquisition instruction according to the optimized data acquisition local instruction arrangement, and continuing execution from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained, includes one of the following two methods: Method 1: The real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment is updated according to the optimized data acquisition local instruction arrangement to obtain the optimized data acquisition instruction deployment; The optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment continues to be executed until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0007] Method 2: Based on the optimized data acquisition local instruction arrangement, the data acquisition local instruction arrangement to be debugged in the original data acquisition instruction deployment is determined. Based on the optimized data acquisition local instruction arrangement, the data acquisition local instruction arrangement to be debugged is critically deployed to obtain the critically deployed data acquisition local instruction arrangement corresponding to the data acquisition local instruction arrangement to be debugged. The real-time data acquisition local instruction arrangement is updated according to the optimized data acquisition local instruction arrangement, and the data acquisition local instruction arrangement to be debugged is updated according to the key deployment data acquisition local instruction arrangement, so as to obtain an optimized data acquisition instruction deployment; The optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment continues to be executed until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0008] In this application, the verification results include directional verification results in at least two directions, and the pre-set key deployment requirements include directional key deployment requirements in at least two directions; the quality verification of the execution results obtained from the execution of the real-time data acquisition local instruction arrangements in the plurality of data acquisition local instruction arrangements, to obtain the verification results corresponding to the real-time data acquisition local instruction arrangements, includes: The execution results of the real-time data acquisition local instruction arrangement executed in the plurality of data acquisition local instruction arrangements are subjected to quality checks in at least two directions to obtain directional check results in at least two directions. When the verification result does not meet the pre-set key deployment requirements, the real-time data acquisition local indication arrangement is critically deployed based on the verification result to obtain an optimized data acquisition local indication arrangement, including: When at least one direction verification result does not meet the direction critical deployment requirements of the same direction, the real-time data acquisition local indication arrangement is critically deployed based on the direction verification result to obtain an optimized data acquisition local indication arrangement.

[0009] In this application, the step of performing critical deployment on the real-time data acquisition local indication arrangement based on the direction verification results when at least one direction verification result does not meet the critical deployment requirements of the same direction, to obtain an optimized data acquisition local indication arrangement, includes: When at least one direction verification result does not meet the direction critical deployment requirements of the same direction, direction deployment schematic data is generated for the direction verification results that do not meet the direction critical deployment requirements. A standardized verification report is generated based on the verification results of the directions and the corresponding directional deployment schematic data; Based on the verification report, key deployments were made to the real-time data acquisition local instruction arrangement, resulting in an optimized data acquisition local instruction arrangement.

[0010] In this application, the at least two directions include at least two of the following: the direction of accurate data collection, the direction of complete data collection, or the direction of historical data matching in the execution result; the verification results of the at least two directions include at least two of the following: data collection accuracy score, data collection completeness score, or matching score; the key deployment requirements for the directions include at least two of the following: pre-setting data collection accuracy score, pre-setting data collection completeness score, or pre-setting matching score.

[0011] In this application, when the verification result does not meet the pre-set key deployment requirements, the key deployment of the real-time data acquisition local indication arrangement is performed based on the verification result to obtain an optimized data acquisition local indication arrangement, including: If the verification results do not meet the pre-set key deployment requirements, a verification report is generated based on the verification results; Determine the correlation between the real-time data acquisition local indications and the preceding and following indications in the deployment of the original data acquisition instructions; Obtain the execution results of the executed local data acquisition instruction arrangements in the original data acquisition instruction deployment, and perform key deployments based on the real-time local data acquisition instruction arrangements, the execution results of the executed local data acquisition instruction arrangements, the correlation between the preceding and following instructions, and the verification report to obtain optimized local data acquisition instruction arrangements.

[0012] In this application, the verification results include directional verification results in at least two directions; the quality verification of the execution results obtained from the real-time data acquisition local instruction arrangements executed in the plurality of data acquisition local instruction arrangements, to obtain the verification results corresponding to the real-time data acquisition local instruction arrangements, includes: The execution results of the real-time data acquisition local instruction arrangement executed in the plurality of data acquisition local instruction arrangements are subjected to quality checks in at least two directions to obtain directional check results in at least two directions. A global check is performed based on the directional check results of at least two directions to obtain the check results corresponding to the real-time data acquisition local indication arrangement.

[0013] In this application, the step of deploying data acquisition instructions based on the data acquisition instructions that need to be processed to obtain the original data acquisition instruction deployment includes: The AI ​​deployment module is invoked, and the AI ​​deployment module deploys data acquisition instructions based on the data acquisition instructions that need to be processed, thereby obtaining the original data acquisition instruction deployment. The sequential execution of the plurality of data acquisition local instruction arrangements, and the quality verification of the execution results obtained from the real-time data acquisition local instruction arrangements executed in the plurality of data acquisition local instruction arrangements, include: The AI ​​module is invoked to execute the plurality of data acquisition local instruction arrangements in sequence. When the execution result of the real-time data acquisition local instruction arrangement in the plurality of data acquisition local instruction arrangements is obtained, the AI ​​module is invoked for verification. The execution results are quality checked by calling the verification AI module; When the verification result does not meet the pre-set key deployment requirements, the real-time data acquisition local indication arrangement is critically deployed based on the verification result to obtain an optimized data acquisition local indication arrangement, including: If the verification result does not meet the pre-set key deployment requirements, the key deployment AI module is invoked. Based on the verification result, the invoked key deployment AI module performs key deployment on the real-time data collection local indication arrangement to obtain an optimized data collection local indication arrangement.

[0014] In this application, the execution AI module includes an AI module that executes each of the data acquisition local instruction arrangements, and the method further includes: Based on the target of the optimized data acquisition local instruction arrangement, select the execution AI module that matches the target from the pre-set AI module cluster; Establish the operational relationship between the optimized data acquisition local instruction arrangement and the matching execution AI module; the operational relationship is used to represent the invocation of the matching execution AI module to execute the optimized data acquisition local instruction arrangement.

[0015] In this application, the method further includes: If the verification result does not meet the pre-set key deployment requirements, and the real-time data acquisition local indication arrangement is not the last data acquisition local indication arrangement in the original data acquisition instruction deployment, determine the next data acquisition local indication arrangement of the real-time data acquisition local indication arrangement in the original data acquisition instruction deployment; The next data acquisition local instruction arrangement is optimized into a real-time data acquisition local instruction arrangement, and the step of executing the real-time data acquisition local instruction arrangement is entered until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0016] In this application, the method further includes: When the verification result does not meet the pre-set key deployment requirements, and the real-time data acquisition local instruction arrangement is the last data acquisition local instruction arrangement in the original data acquisition instruction deployment, the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is generated based on the execution result of each of the data acquisition local instruction arrangements.

[0017] In this application, the data acquisition instructions to be processed include simulated data acquisition instructions, and the intelligent acquisition results of real-time mine data include simulated data acquisition results for the simulated data acquisition instructions; obtaining the data acquisition instructions to be processed, deploying data acquisition instructions based on the data acquisition instructions to be processed, and obtaining the original data acquisition instruction deployment includes: Obtain an analysis request, perform target analysis on the analysis request, and obtain the target analysis results; Based on the target analysis results, simulated data acquisition instructions are generated. Based on the simulated data acquisition instructions, the original deployment is generated to obtain the original data acquisition instruction deployment, which includes several data acquisition local instruction arrangements, and the execution order of the several data acquisition local instruction arrangements.

[0018] Secondly, a real-time intelligent acquisition system for mine data is provided, comprising a processor and a memory that communicate with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above-mentioned method.

[0019] The intelligent acquisition method and system for real-time mining data provided in this application deploys data acquisition instructions based on the obtained data acquisition instructions that need to be processed, thereby obtaining the original data acquisition instruction deployment. The original data acquisition instruction deployment includes several data acquisition local instruction arrangements. Several data acquisition local instruction arrangements are executed sequentially. The execution results of the real-time data acquisition local instruction arrangements executed in the several data acquisition local instruction arrangements are quality checked to obtain the check results corresponding to the real-time data acquisition local instruction arrangements. When the check results do not meet the pre-set key deployment requirements, key deployments are performed on the real-time data acquisition local instruction arrangements based on the check results to obtain optimized data acquisition local instruction arrangements. The original data acquisition instruction deployment is optimized according to the optimized data acquisition local instruction arrangements, and execution continues from the optimized data acquisition local instruction arrangements in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mining data corresponding to the data acquisition instructions that need to be processed is obtained. This approach involves verifying the quality of real-time data acquisition local instruction arrangements when executing data acquisition commands requiring processing. Based on the quality of the results, the rationality of the real-time data acquisition local instruction arrangements is assessed. Then, based on the verification results, unreasonable local instruction arrangements are critically deployed. Finally, the optimized local instruction arrangements derived from these critical deployments are used to continue executing data acquisition commands. This avoids the problem of inaccurate final execution results for data acquisition commands due to unreasonable local instruction arrangements, thereby improving the quality of both the local instruction arrangements and the execution results. Furthermore, the dynamic verification and real-time critical deployment mechanism significantly enhances the adaptability and robustness of processing complex data acquisition commands. Iterative optimization ensures the quality and confidence of intelligent data acquisition results from real-time mining data. Optimizing and continuing specific local instruction arrangements that do not meet requirements based on the quality verification results of the execution results eliminates the need for global redeployment of data acquisition commands requiring processing and for repeating previously executed local instruction arrangements. This significantly improves the confidence of data acquisition command execution, thereby enhancing the accuracy of intelligent data acquisition. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating an intelligent method for real-time mining data acquisition provided in an embodiment of this application. Detailed Implementation

[0022] To better understand the above technical solutions, the technical solutions of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this application and the specific features in the embodiments are detailed descriptions of the technical solutions of this application, rather than limitations on the technical solutions of this application. In the absence of conflict, the embodiments of this application and the technical features in the embodiments can be combined with each other.

[0023] Please see Figure 1 This paper illustrates an intelligent method for real-time mining data acquisition, which may include the technical solutions described in steps S202-S208.

[0024] Step S202: Obtain the data acquisition instructions that need to be processed, deploy the data acquisition instructions based on the data acquisition instructions that need to be processed, and obtain the original data acquisition instruction deployment, which includes several local data acquisition instruction arrangements.

[0025] In this process, you receive data collection instructions that need to be processed. You get a clear instruction / requirement that specifies what data to collect, what it will be used for, and what rules to follow to process it.

[0026] Based on the data collection instructions that need to be processed, deploy the data collection instructions. According to the above collection requirements, arrange the specific plan, rules and execution methods of "how to collect data" and implement them into executable steps.

[0027] The raw data collection instructions are obtained and deployed, ultimately forming a complete and feasible raw data collection and execution solution.

[0028] The deployment of raw data acquisition instructions includes several local data acquisition instruction arrangements. This overall acquisition scheme consists of multiple subdivided and local acquisition task arrangements, with each local arrangement responsible for the acquisition of a portion of the data.

[0029] For example, a data acquisition instruction that needs to be processed is obtained, a data acquisition instruction deployment is performed based on the data acquisition instruction that needs to be processed, and the original data acquisition instruction deployment corresponding to the data acquisition instruction that needs to be processed is obtained. The original data acquisition instruction deployment includes several data acquisition local instruction deployments.

[0030] In an alternative embodiment, data acquisition instruction deployment is performed based on the data acquisition instructions that need to be processed to obtain the original data acquisition instruction deployment, including: The data acquisition instructions that need to be processed are decomposed into several data acquisition instruction objects; based on these several data acquisition instruction objects, the original deployment is generated to obtain the data acquisition local instruction arrangement for each of the several data acquisition instruction objects, as well as the execution order of each of the several data acquisition local instruction arrangements.

[0031] The original deployment refers to the deployment content corresponding to the originally generated data acquisition instructions that need to be processed. The original deployment includes the local data acquisition instruction arrangements of each of the several data acquisition instruction objects.

[0032] In this embodiment, the deployment AI module can be invoked. The invoked deployment AI module decomposes the data acquisition instructions that need to be processed and generates the original deployment based on several data acquisition instruction objects.

[0033] In an alternative embodiment, the original deployment is generated based on several data acquisition instruction objects to obtain the data acquisition local instruction arrangements of each of the several data acquisition instruction objects, and the execution order of each of the several data acquisition local instruction arrangements, so as to execute the several data acquisition local instruction arrangements in the order of execution.

[0034] Step S204: Execute several data acquisition local instruction arrangements in sequence, and perform quality checks on the execution results of the real-time data acquisition local instruction arrangements executed in the several data acquisition local instruction arrangements to obtain the check results corresponding to the real-time data acquisition local instruction arrangements.

[0035] This involves sequentially executing several local data acquisition instructions: following the order, each of the previously divided small data acquisition tasks is executed one after another.

[0036] The execution results of real-time data acquisition local instruction arrangements executed in several data acquisition local instruction arrangements are checked for quality: in these small tasks, the data collected by the data acquisition task being executed in real time is checked to see if it is qualified, accurate and complete.

[0037] Obtain the verification results corresponding to the local instructions for real-time data acquisition: Finally, obtain an inspection conclusion for this real-time acquisition task, such as: data qualified / unqualified / missing / abnormal.

[0038] The verification result refers to the quality verification of the execution results of the local instruction arrangement for real-time data acquisition, and it is also a reflection on the local instruction arrangement and its execution results for real-time data acquisition. The verification result can characterize the quality of the execution results, and can also be used to represent the quality of the local instruction arrangement for real-time data acquisition.

[0039] For example, several data acquisition local instruction arrangements can be executed sequentially, and the executed data acquisition local instruction arrangements are called real-time data acquisition local instruction arrangements. Executing the real-time data acquisition local instruction arrangements yields execution results, which are then subjected to quality checks to obtain the corresponding check results for the real-time data acquisition local instruction arrangements.

[0040] In an alternative embodiment, the quality check includes quality checks in at least two directions, and the check result includes directional check results in at least two directions. The execution results of real-time data acquisition local instruction arrangements executed in several data acquisition local instruction arrangements are subjected to quality checks in at least two directions to obtain directional check results in at least two directions.

[0041] Among them, at least two directions include the direction of accurate data collection of the execution result, the direction of complete data collection, or the direction of historical data matching.

[0042] In an alternative embodiment, the verification AI module can be invoked to perform quality verification on the execution results obtained from the local instruction arrangement of real-time data acquisition. Alternatively, the verification AI module can perform quality verification on the execution results obtained from the local instruction arrangement of real-time data acquisition in at least two directions.

[0043] In an alternative embodiment, each direction is matched with its own verification AI module, and at least two verification AI modules can be invoked to perform quality checks on the execution results obtained from the local indication arrangement of real-time data acquisition in the corresponding direction. For example, when checking the accuracy of the acquired data, the verification AI module matched for the accuracy of the acquired data is used; when checking the matching degree, the verification AI module matched for the matching degree is used.

[0044] Step S206: When the verification result does not meet the pre-set key deployment requirements, key deployments are made to the real-time data collection local instruction arrangement based on the verification result to obtain the optimized data collection local instruction arrangement.

[0045] Among them, when the verification results do not meet the pre-set key deployment requirements: the data quality results checked in the previous step meet the pre-set standards, such as data completeness, accuracy, timeliness, and correct format.

[0046] Based on the verification results, key deployments will be made for the local instructions for real-time data acquisition: Based on the qualified verification results, further key configurations, parameter adjustments, or strategy solidification will be made for the currently executing real-time acquisition tasks.

[0047] The optimized data acquisition local instruction arrangement was obtained, resulting in a more reasonable, stable, and accurate optimized data acquisition task plan.

[0048] Among them, setting key deployment requirements in advance refers to the constraints on the quality of the verification results, and can also represent the constraints on optimizing the local instruction arrangements for data collection.

[0049] For example, pre-defined key deployment requirements can be obtained, and it can be determined whether the verification results of the real-time data acquisition local indication arrangement meet the pre-defined key deployment requirements. If they meet the requirements, it means that the quality of the verification results is not good and the real-time data acquisition local indication arrangement needs to be debugged. Then, based on the verification results, key deployments are carried out on the real-time data acquisition local indication arrangement to obtain an optimized data acquisition local indication arrangement.

[0050] In this embodiment, if the verification result of the real-time data acquisition local instruction arrangement does not meet the pre-set key deployment requirements, it indicates that the quality of the verification result meets expectations and there is no need to debug the real-time data acquisition local instruction arrangement. Therefore, the next data acquisition local instruction arrangement in the original data acquisition instruction deployment is determined. The next data acquisition local instruction arrangement is optimized into a real-time data acquisition local instruction arrangement, and the step of verifying the execution results of the real-time data acquisition local instruction arrangements executed among several data acquisition local instruction arrangements is returned and execution continues until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs processing is obtained.

[0051] In an alternative embodiment, deployment schematic data can be generated based on the verification results, and key deployments can be made for the real-time data acquisition local instruction arrangement based on the verification results and deployment schematic data to obtain an optimized data acquisition local instruction arrangement.

[0052] Among them, the deployment schematic data is schematic data for key deployment of the local indication arrangement of real-time data acquisition. It can be the content of suggestions for improving the local indication arrangement of real-time data acquisition, such as suggestions for adding, deleting, or modifying the local indication arrangement of real-time data acquisition.

[0053] In some embodiments, the execution results of the executed data acquisition partial instruction arrangements can be obtained, and the real-time data acquisition partial instruction arrangements can be critically deployed based on the execution results, verification results, and deployment schematic data. Alternatively, the critical deployment schematic data can be obtained by using the correlation between the real-time data acquisition partial instruction arrangements and the original data acquisition instruction deployment, the execution results, verification results, and deployment schematic data of the executed data acquisition partial instruction arrangements together as schematic data for critical deployment, so as to perform critical deployment of the real-time data acquisition partial instruction arrangements.

[0054] Specifically, the execution result of the executed data collection local instruction arrangement can be the execution result corresponding to the verification result that does not meet the pre-set critical deployment requirements. The executed data collection local instruction arrangement can include data collection local instruction arrangements that do not require critical deployment and data collection local instruction arrangements after critical deployment. Therefore, the execution result of the executed data collection local instruction arrangement includes the execution result of the data collection local instruction arrangement that does not require critical deployment and the execution result of the data collection local instruction arrangement after deployment has been completed.

[0055] In other words, for local instructions on real-time data acquisition that require critical deployment, the execution results of such local instructions will be discarded and will not be used as reference information for critical deployment.

[0056] The sequential correlation of real-time data acquisition local instruction arrangements refers to the data acquisition local instruction arrangements that are executed before the real-time data acquisition local instruction arrangement, and the data acquisition local instruction arrangements that are executed after the real-time data acquisition local instruction arrangement. For example, sequential correlation refers to the data acquisition local instruction arrangements preceding and following the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment.

[0057] Furthermore, the verification results include directional verification results in at least two directions, and the deployment schematic data includes directional deployment schematic data in at least two directions. Based on the directional verification results and directional deployment schematic data in at least two directions, the local indication arrangement for real-time data acquisition is critically deployed in at least two directions to obtain an optimized local indication arrangement for data acquisition. The directional deployment schematic data is schematic data illustrating the critical deployment of the local indication arrangement for real-time data acquisition in a certain direction.

[0058] In an alternative embodiment, the verification results include quality scores corresponding to the issues to be improved and the execution results. Pre-defined key deployment requirements can be represented by these pre-defined quality scores. When the verification results do not meet the pre-defined key deployment requirements, key deployments are made to the real-time data acquisition local instruction arrangement based on the verification results, resulting in an optimized data acquisition local instruction arrangement, including: Based on the quality score corresponding to the execution result of the real-time data acquisition local instruction arrangement, if the quality score is lower than the preset quality score, key deployments can be made to the real-time data acquisition local instruction arrangement based on the verification results, resulting in an optimized data acquisition local instruction arrangement.

[0059] Step S208: Optimize the deployment of the original data acquisition instruction according to the optimized local instruction arrangement for data acquisition, and continue to execute from the optimized local instruction arrangement for data acquisition in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0060] Among them, the deployment of the original data collection instructions is optimized according to the local instructions for optimized data collection: the optimized collection sub-task scheme obtained in the previous round is used to update and improve the initial overall collection deployment scheme.

[0061] Then, continue execution from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment: then, from this updated overall scheme, start again from that optimized acquisition subtask and continue acquiring data.

[0062] The process continues until the intelligent acquisition results of real-time mine data corresponding to the data acquisition instructions that need to be processed are obtained. This cycle repeats continuously: execution → verification → optimization → re-execution → re-optimization... until the final intelligent acquisition results of real-time mine data that meet business needs and can be directly used for processing are obtained.

[0063] For example, the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment is optimized based on the optimized data acquisition local instruction arrangement to obtain an optimized data acquisition instruction deployment. Execution continues from this optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the last data acquisition local instruction arrangement is completed, at which point the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0064] In this embodiment, a data acquisition instruction requiring processing is received from the user and input into the large model. The large model then deploys the data acquisition instructions based on these instructions, resulting in an initial data acquisition instruction deployment comprising several local data acquisition instruction arrangements. The large language model sequentially executes these local data acquisition instruction arrangements. When a real-time data acquisition local instruction arrangement yields an execution result, the execution of subsequent local data acquisition instruction arrangements is paused, and the execution result of the real-time local data acquisition instruction arrangement is subjected to quality checks to obtain a check result. If the check result does not meet pre-defined key deployment requirements, the next local data acquisition instruction arrangement is executed. If the check result does not meet pre-defined key deployment requirements, key deployments are performed on the real-time local data acquisition instruction arrangements based on the check result to obtain optimized local data acquisition instruction arrangements. The initial data acquisition instruction deployment is then optimized based on the optimized local data acquisition instruction arrangements, and execution continues from the optimized local data acquisition instruction arrangements obtained from the optimized deployment.

[0065] In an alternative embodiment, the original data acquisition instruction deployment is optimized according to the optimized data acquisition local instruction arrangement, and execution continues from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained, including: The real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment is updated according to the optimized data acquisition local instruction arrangement to obtain the optimized data acquisition instruction deployment; the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment continues to be executed until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0066] For example, it can be determined whether there is a correlation between the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment and subsequent unexecuted data acquisition local instruction arrangements. If a correlation exists, it means that the execution of subsequent data acquisition local instruction arrangements depends on the execution result of the real-time data acquisition local instruction arrangements; therefore, optimization of the real-time data acquisition local instruction arrangements will affect subsequent data acquisition local instruction arrangements. If no correlation exists, it means that the execution of subsequent data acquisition local instruction arrangements does not depend on the execution result of the real-time data acquisition local instruction arrangements; therefore, optimization of the real-time data acquisition local instruction arrangements will not affect subsequent data acquisition local instruction arrangements.

[0067] If there is no correlation between the real-time data acquisition local instruction arrangement and the subsequent unexecuted data acquisition local instruction arrangement, the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment can be updated according to the optimized data acquisition local instruction arrangement to obtain the optimized data acquisition instruction deployment.

[0068] The process continues from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the last data acquisition local instruction arrangement in the optimized data acquisition instruction deployment is completed, at which point the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0069] In this embodiment, after optimizing the real-time data acquisition local indication arrangement in the original data acquisition command arrangement, it is determined whether the optimization of the data acquisition local indication arrangement will affect the execution of subsequent data acquisition local indication arrangements. If it does not affect subsequent data acquisition local indication arrangements, the optimized data acquisition local indication arrangement is directly used to update the real-time data acquisition local indication arrangement in the original data acquisition command arrangement. This way, only unreasonable data acquisition local indication arrangements need to be critically deployed, instead of all data acquisition local indication arrangements, which can significantly improve the confidence of critical deployment of data acquisition commands and save the resources consumed by critical deployment. Furthermore, continuing execution from the optimized data acquisition local indication arrangement in the optimized data acquisition command deployment does not require the repeated execution of already executed data acquisition local indication arrangements, which can significantly improve the confidence of data acquisition command execution, thereby improving the accuracy of intelligent data acquisition.

[0070] In an alternative embodiment, the original data acquisition instruction deployment is optimized according to the optimized data acquisition local instruction arrangement, and execution continues from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained, including: The optimized local data acquisition instruction arrangement is used to determine the local data acquisition instruction arrangement to be debugged in the original data acquisition instruction deployment; the optimized local data acquisition instruction arrangement is used to perform key deployment of the local data acquisition instruction arrangement to be debugged, resulting in the key deployment local data acquisition instruction arrangement corresponding to the local data acquisition instruction arrangement to be debugged; the real-time local data acquisition instruction arrangement is updated according to the optimized local data acquisition instruction arrangement, and the local data acquisition instruction arrangement to be debugged is updated according to the key deployment local data acquisition instruction arrangement, resulting in the optimized data acquisition instruction deployment.

[0071] Among them, the local indication arrangement of data acquisition to be debugged refers to the local indication arrangement of data acquisition that is related to the local indication arrangement of real-time data acquisition, that is, the local indication arrangement of data acquisition will be affected by the optimization of the local indication arrangement of real-time data acquisition.

[0072] For example, it can be determined whether there is a correlation between the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment and the subsequent unexecuted data acquisition local instruction arrangement, so as to determine the data acquisition local instruction arrangement to be debugged from the subsequent unexecuted data acquisition local instruction arrangement.

[0073] Based on the optimized local data acquisition instruction arrangement, key deployments can be performed on the local data acquisition instruction arrangement to be debugged, resulting in the key deployment local data acquisition instruction arrangement corresponding to the local data acquisition instruction arrangement to be debugged. The real-time local data acquisition instruction arrangement in the original data acquisition command deployment is updated according to the optimized local data acquisition instruction arrangement, and the local data acquisition instruction arrangement to be debugged in the original data acquisition command deployment is updated according to the key deployment local data acquisition instruction arrangement, resulting in the optimized data acquisition command deployment.

[0074] The process continues from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the last data acquisition local instruction arrangement in the optimized data acquisition instruction deployment is completed, at which point the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0075] In this embodiment, after optimizing the real-time data acquisition local indication arrangement in the original data acquisition command arrangement, it is determined whether the optimization of the data acquisition local indication arrangement will affect the execution of subsequent data acquisition local indication arrangements. If it does affect subsequent data acquisition local indication arrangements, the optimized data acquisition local indication arrangement is used to critically deploy the subsequently affected data acquisition local indication arrangements. This allows for critical deployment of both unreasonable and affected data acquisition local indication arrangements, avoiding the adverse effects of optimizing one data acquisition local indication arrangement on subsequent related data acquisition local indication arrangements, and ensuring the smooth execution of subsequent data acquisition local indication arrangements. Furthermore, this method does not require critical deployment of all data acquisition local indication arrangements, which can significantly improve the confidence of critical deployment of data acquisition commands and save the resources consumed by critical deployment. Moreover, continuing execution from the optimized data acquisition local indication arrangement in the optimized data acquisition command deployment does not require repeating the execution of already executed data acquisition local indication arrangements, which can significantly improve the confidence of data acquisition command execution, thereby improving the accuracy of intelligent data acquisition.

[0076] It is understandable that, upon completion of all local data acquisition instruction arrangements, the execution result of the data acquisition instruction that needs to be processed is obtained. This execution result can be the result of the execution of the last local data acquisition instruction arrangement, or it can be generated based on the execution results of all local data acquisition instruction arrangements.

[0077] In this embodiment, data acquisition instructions are deployed based on the obtained data acquisition instructions that need to be processed, resulting in an original data acquisition instruction deployment. The original data acquisition instruction deployment includes several data acquisition local instruction arrangements. These arrangements are executed sequentially. The execution results of the real-time data acquisition local instruction arrangements are checked to obtain the check results corresponding to the real-time data acquisition local instruction arrangements. If the check results do not meet the pre-set key deployment requirements, key deployments are performed on the real-time data acquisition local instruction arrangements based on the check results to obtain optimized data acquisition local instruction arrangements. The original data acquisition instruction deployment is then optimized based on the optimized data acquisition local instruction arrangements. Execution continues from the optimized data acquisition local instruction arrangements in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instructions that need to be processed is obtained. This approach involves verifying the execution results of real-time data acquisition local instruction arrangements when executing data acquisition commands requiring processing. The quality of these results is then assessed, allowing for a reassessment of the rationality of the real-time data acquisition local instruction arrangements. Based on the verification results, unreasonable local instruction arrangements are critically deployed. Finally, the optimized local instruction arrangements derived from these critical deployments are used to continue executing data acquisition commands. This avoids the problem of inaccurate final execution results for data acquisition commands due to unreasonable local instruction settings. Furthermore, the dynamic verification and real-time critical deployment mechanism significantly improves the adaptability and robustness of processing complex data acquisition commands. Iterative optimization ensures the quality and confidence of intelligent data acquisition results from real-time mining data. Optimizing and continuing execution of specific local instruction arrangements that do not meet requirements based on the verification results of the execution results eliminates the need for global redeployment of data acquisition commands requiring processing and for repeating previously executed local instruction arrangements. This significantly improves the confidence of data acquisition command execution, thereby enhancing the accuracy of intelligent data acquisition.

[0078] In an alternative embodiment, the verification results include directional verification results in at least two directions, and the pre-defined key deployment requirements include directional key deployment requirements in at least two directions; the quality verification of the execution results of the real-time data acquisition local instruction arrangements executed in several data acquisition local instruction arrangements is performed to obtain the verification results corresponding to the real-time data acquisition local instruction arrangements, including: performing verification in at least two directions on the execution results of the real-time data acquisition local instruction arrangements executed in several data acquisition local instruction arrangements to obtain directional verification results in at least two directions; When the verification results do not meet the pre-set key deployment requirements, key deployments are made to the real-time data acquisition local instruction arrangement based on the verification results to obtain an optimized data acquisition local instruction arrangement. This includes: when the verification results of at least one direction do not meet the key deployment requirements of the same direction, key deployments are made to the real-time data acquisition local instruction arrangement based on the direction verification results to obtain an optimized data acquisition local instruction arrangement.

[0079] The directional verification result is a quality check of the local indication arrangement of real-time data acquisition in a specific direction. The directional verification result may include issues to be improved in a certain direction and the directional quality score for that direction.

[0080] For example, a real-time data acquisition local instruction arrangement can be executed from several data acquisition local instruction arrangements, and the execution result is obtained. The execution result is then subjected to quality checks in at least two directions, yielding at least two direction check results. Critical deployment requirements for directions identical to these at least two directions are obtained. For each of the at least two directions, it is traversed, and it is determined whether the direction check result for the traversed direction meets the critical deployment requirements for that direction. If at least one direction check result does not meet the critical deployment requirements for the same direction, critical deployment is performed on the real-time data acquisition local instruction arrangement based on the direction check results, resulting in an optimized data acquisition local instruction arrangement.

[0081] Specifically, key deployments can be made to the local indication arrangements for real-time data acquisition based on the directional verification results from at least two directions to improve the accuracy of key deployments. Alternatively, key deployments can be made to the local indication arrangements for real-time data acquisition based on the directional verification results from the corresponding directions that meet the key deployment requirements.

[0082] Specifically, based on the direction verification results for the corresponding directions that meet the key deployment requirements, key deployments are made for the local indication arrangements of real-time data acquisition. This means that key deployments only need to be made for specific directions in the local indication arrangements of real-time data acquisition, rather than in all directions, thus improving deployment effectiveness.

[0083] In an alternative embodiment, when at least one direction check result does not meet the critical deployment requirements for the same direction, a critical deployment is performed on the real-time data acquisition local indication arrangement based on the direction check result to obtain an optimized data acquisition local indication arrangement, including: When at least one direction verification result does not meet the critical deployment requirements of the same direction, generate directional deployment schematic data for the direction verification results that meet the critical deployment requirements; generate a standardized verification report based on the direction verification results and the corresponding directional deployment schematic data; and perform critical deployment on the real-time data acquisition local indication arrangement based on the verification report to obtain an optimized data acquisition local indication arrangement.

[0084] For example, obtain the directional critical deployment requirements of the same direction as the at least two directions, traverse each of the at least two directions, determine whether the directional verification result of the traversed direction meets the directional critical deployment requirements of the traversed direction, and when it is found that the verification result of at least one direction does not meet the directional critical deployment requirements of the same direction, the corresponding directional deployment schematic data can be generated for the directional verification result that meets the directional critical deployment requirements.

[0085] A standardized verification report is generated based on the directional verification results and the corresponding directional deployment schematic data; based on the verification report, key deployments are made for the local instructions for real-time data collection, resulting in an optimized local instructions for data collection.

[0086] In this embodiment, at least two directions include at least two of the following: the direction of accurate data collection, the direction of complete data collection, or the direction of historical data matching; the verification results of at least two directions include at least two of the following: data collection accuracy score, data collection completeness score, or matching score; the key deployment requirements for directions include at least two of the following: pre-setting data collection accuracy score, pre-setting data collection completeness score, or pre-setting matching score.

[0087] In an alternative embodiment, key deployments are made to the real-time data acquisition local indication arrangement based on the verification report to obtain an optimized data acquisition local indication arrangement, including: Determine the correlation between real-time data acquisition local instructions and the instructions before and after in the original data acquisition command deployment; obtain the execution results of the data acquisition local instructions that have been executed in the original data acquisition command deployment; and make key deployments based on the real-time data acquisition local instructions, the execution results of the executed data acquisition local instructions, the correlation between the instructions before and after, and the verification report to obtain the optimized data acquisition local instructions.

[0088] Specifically, the execution result of the executed data collection local instruction arrangement can be the execution result corresponding to the verification result that does not meet the pre-set critical deployment requirements. The executed data collection local instruction arrangement can include data collection local instruction arrangements that do not require critical deployment and data collection local instruction arrangements after critical deployment. Therefore, the execution result of the executed data collection local instruction arrangement includes the execution result of the data collection local instruction arrangement that does not require critical deployment and the execution result of the data collection local instruction arrangement after deployment has been completed.

[0089] The sequential correlation of real-time data acquisition local instruction arrangements refers to the data acquisition local instruction arrangements that are executed before the real-time data acquisition local instruction arrangement, and the data acquisition local instruction arrangements that are executed after the real-time data acquisition local instruction arrangement. For example, sequential correlation refers to the data acquisition local instruction arrangements preceding and following the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment.

[0090] For example, the correlation between real-time data acquisition local instruction arrangements and their preceding and following instructions in the original data acquisition instruction deployment can be determined, and the execution results of the data acquisition local instruction arrangements already executed in the original data acquisition instruction deployment can be obtained. Based on the real-time data acquisition local instruction arrangements, the execution results of the executed data acquisition local instruction arrangements, the correlation between preceding and following instructions, and the verification report, key deployments are performed to obtain optimized data acquisition local instruction arrangements.

[0091] In an alternative embodiment, at least two directions include at least two of the following: data accuracy direction of the execution result, data completeness direction, or historical data matching direction; the verification results of at least two directions include at least two of the following: data accuracy score, data completeness score, or matching score; the key deployment requirements for the directions include at least two of the following: pre-set data accuracy score, pre-set data completeness score, or pre-set matching score.

[0092] The correlation score between preceding and following instructions refers to the degree of matching between the execution result of the local instruction arrangement for real-time data acquisition and other execution results, as well as the degree of matching between executed data acquisition instruction arrangements. Furthermore, the correlation score between preceding and following instructions may also include the degree of matching between the execution result of the local instruction arrangement for real-time data acquisition and other unexecuted data acquisition instruction arrangements.

[0093] The execution results of the real-time data acquisition local instruction arrangement are subjected to quality checks on the accuracy of data acquisition, resulting in a data acquisition accuracy score; the execution results are subjected to quality checks on the completeness of data acquisition, resulting in a data completeness score; and the execution results are subjected to quality checks on historical data matching, resulting in a matching score. It is then determined whether the data acquisition accuracy score, data completeness score, and matching score meet pre-set pre-defined pre-set ...

[0094] In one embodiment, when the verification result does not meet the pre-defined critical deployment requirements, critical deployments are made to the real-time data acquisition local indication arrangement based on the verification result, resulting in an optimized data acquisition local indication arrangement, including: When the verification results do not meet the pre-set key deployment requirements, a verification report is generated based on the verification results; the correlation between the real-time data acquisition local instruction arrangement and the original data acquisition instruction deployment is determined; the execution results of the data acquisition local instruction arrangement that has been executed in the original data acquisition instruction deployment are obtained; and key deployments are carried out based on the real-time data acquisition local instruction arrangement, the execution results of the executed data acquisition local instruction arrangement, the correlation between the previous and subsequent instructions, and the verification report to obtain the optimized data acquisition local instruction arrangement.

[0095] For example, the executed data acquisition local instruction arrangements include those that do not require critical deployment and those that have been critically deployed. The execution results of the executed data acquisition local instruction arrangements include the execution results of those that do not require critical deployment and those that have been critically deployed. The sequential instruction correlation of real-time data acquisition local instruction arrangements refers to the execution order of data acquisition local instruction arrangements that precede the real-time data acquisition local instruction arrangements and those that follow the real-time data acquisition local instruction arrangements.

[0096] If the verification results of the real-time data acquisition local instruction arrangement do not meet the pre-defined key deployment requirements, a verification report can be generated based on the verification results. Furthermore, the correlation between the real-time data acquisition local instruction arrangement and the original data acquisition command deployment can be determined, and the execution results of the executed data acquisition local instruction arrangements in the original data acquisition command deployment can be obtained. Based on the real-time data acquisition local instruction arrangement, the execution results of the executed data acquisition local instruction arrangements, the correlation between the previous and subsequent instructions, and the verification report, key deployments are performed to obtain an optimized data acquisition local instruction arrangement.

[0097] In an alternative embodiment, the verification results include directional verification results in at least two directions; quality verification is performed on the execution results of the real-time data acquisition local instruction arrangements executed in a plurality of data acquisition local instruction arrangements to obtain the verification results corresponding to the real-time data acquisition local instruction arrangements, including: Perform quality checks in at least two directions on the execution results of the real-time data acquisition local instruction arrangements executed in several data acquisition local instruction arrangements, and obtain directional check results in at least two directions; perform a global check based on the directional check results in at least two directions, and obtain the check results corresponding to the real-time data acquisition local instruction arrangements.

[0098] For example, the execution results of the real-time data acquisition local instruction arrangements executed in several data acquisition local instruction arrangements are subjected to quality checks in at least two directions to obtain directional check results in at least two directions. A global check is then performed based on the directional check results in at least two directions to obtain the check results corresponding to the real-time data acquisition local instruction arrangements.

[0099] In an alternative embodiment, the direction verification results may include issues to be improved in a certain direction and a direction quality score for that direction, and the direction-critical deployment requirements may be represented by a pre-defined direction quality score in a certain direction.

[0100] The execution results can be checked in at least two directions to obtain the problems to be improved and the quality score of each direction. The quality scores of each direction can be combined to obtain the quality score of the local indication arrangement of real-time data acquisition; the problems to be improved in each direction can be combined to obtain the problem set of the local indication arrangement of real-time data acquisition.

[0101] In an alternative embodiment, at least two directions include at least two of the following: data accuracy direction of the execution result, data completeness direction, or historical data matching direction; the direction quality scores of at least two directions include at least two of the following: data accuracy score, data completeness score, or matching score; and the direction quality scores of at least two directions are preset to include at least two of the following: preset data accuracy score, preset data completeness score, or preset matching score.

[0102] In an alternative embodiment, deploying data acquisition instructions based on data acquisition instructions that need to be processed to obtain the original data acquisition instruction deployment includes: calling a deployment AI module, and using the called deployment AI module to deploy data acquisition instructions based on the data acquisition instructions that need to be processed to obtain the original data acquisition instruction deployment. Several data acquisition local instruction arrangements are executed sequentially. The execution results of the real-time data acquisition local instruction arrangements are then checked for quality. This includes: calling the execution AI module to execute the several data acquisition local instruction arrangements sequentially; when the execution result of the real-time data acquisition local instruction arrangement is obtained, the verification AI module is called; and the execution result is checked for quality through the called verification AI module. When the verification results do not meet the pre-set key deployment requirements, the key deployment is carried out on the local instruction arrangement for real-time data collection based on the verification results to obtain the optimized local instruction arrangement for data collection. This includes: when the verification results do not meet the pre-set key deployment requirements, the key deployment AI module is called, and the key deployment AI module is called to carry out key deployment on the local instruction arrangement for real-time data collection based on the verification results to obtain the optimized local instruction arrangement for data collection.

[0103] For example, a data acquisition instruction requiring processing is obtained, and the deployment AI module is invoked. The invoked deployment AI module deploys the data acquisition instruction based on the instruction, resulting in the original data acquisition instruction deployment. The execution AI module is then invoked to sequentially execute several local data acquisition instruction arrangements. When the execution result of a particular local data acquisition instruction arrangement is obtained, the verification AI module is invoked. The verification AI module performs quality checks on the execution results of the real-time data acquisition local instruction arrangements among the several local data acquisition instruction arrangements. If the verification result does not meet pre-defined critical deployment requirements, the critical deployment AI module is invoked. Based on the verification result, the critical deployment AI module performs critical deployment on the real-time data acquisition local instruction arrangements, resulting in optimized local data acquisition instruction arrangements.

[0104] The AI ​​deployment module is invoked to optimize the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment based on the optimized data acquisition local instruction arrangement, resulting in an optimized original data acquisition instruction deployment.

[0105] The AI ​​module is invoked to continue execution from the optimized data acquisition local instruction arrangement in the optimized original data acquisition instruction deployment. Once all data acquisition local instruction arrangements in the optimized original data acquisition instruction deployment have been executed, the intelligent acquisition results of real-time mine data are obtained.

[0106] In an alternative embodiment, the AI ​​execution module includes an AI module that executes each data acquisition local instruction arrangement, and the method further includes: Based on the goal of optimizing the local instruction arrangement for data acquisition, select the execution AI module that matches the goal from the pre-defined AI module cluster; establish the operational relationship between the optimized local instruction arrangement for data acquisition and the matching execution AI module; the operational relationship is used to represent the invocation of the matching execution AI module to execute the optimized local instruction arrangement for data acquisition.

[0107] For example, after the key deployment obtains an optimized local instruction arrangement for data acquisition, an execution AI module that matches the objective of the optimized local instruction arrangement is selected from a pre-defined cluster of AI modules. The execution AI module that matches the objective of the optimized local instruction arrangement is also matched with the optimized local instruction arrangement.

[0108] An operational relationship is established between optimized local data acquisition instruction arrangements and matching execution AI modules. This relationship represents the invocation of the matching execution AI module to execute the optimized local data acquisition instruction arrangements. When it is necessary to execute the optimized local data acquisition instruction arrangements, the matching execution AI module can be invoked, thereby executing the optimized local data acquisition instruction arrangements through the execution AI module.

[0109] In an alternative embodiment, an optimized data acquisition local instruction arrangement may require several execution AI modules to execute. In this case, the operational relationship between the optimized data acquisition local instruction arrangement and several matching execution AI modules can be established according to the goal of the optimized data acquisition local instruction arrangement, and the calling order between the several execution AI modules can be set so that the optimized data acquisition local instruction arrangement can be executed in sequence.

[0110] In an alternative embodiment, the method further includes: When the verification results do not meet the pre-set key deployment requirements, and the real-time data acquisition local instruction arrangement is not the last data acquisition local instruction arrangement in the original data acquisition instruction deployment, determine the next data acquisition local instruction arrangement of the real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment; optimize the next data acquisition local instruction arrangement into a real-time data acquisition local instruction arrangement, and enter the step of executing the real-time data acquisition local instruction arrangement until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0111] For example, when the verification result does not meet the pre-set key deployment requirements, it is determined whether the real-time data acquisition local instruction arrangement is the last data acquisition local instruction arrangement in the original data acquisition instruction deployment. If the real-time data acquisition local instruction arrangement is not the last data acquisition local instruction arrangement in the original data acquisition instruction deployment, the next data acquisition local instruction arrangement in the original data acquisition instruction deployment is determined, the next data acquisition local instruction arrangement is optimized into a real-time data acquisition local instruction arrangement, and the step of executing the real-time data acquisition local instruction arrangement is entered and execution continues until the execution of the last data acquisition local instruction arrangement is completed, and the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

[0112] In an alternative embodiment, the method further includes: When the verification results do not meet the pre-set key deployment requirements, and the real-time data acquisition local instruction arrangement is the last data acquisition local instruction arrangement in the original data acquisition instruction deployment, the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is generated based on the execution results of each data acquisition local instruction arrangement.

[0113] For example, when the verification result does not meet the pre-set key deployment requirements, it is determined whether the real-time data acquisition local instruction arrangement is the last data acquisition local instruction arrangement in the original data acquisition instruction deployment. If the real-time data acquisition local instruction arrangement is the last data acquisition local instruction arrangement in the original data acquisition instruction deployment, an intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is generated based on the execution result of each data acquisition local instruction arrangement.

[0114] In an alternative embodiment, the data acquisition instructions to be processed include simulated data acquisition instructions, and the intelligent acquisition results of real-time mine data include simulated data acquisition results for the simulated data acquisition instructions; obtaining the data acquisition instructions to be processed, deploying data acquisition instructions based on the data acquisition instructions to be processed, and obtaining the original data acquisition instruction deployment, includes: The system receives an analysis request, performs target analysis on the request, and obtains the target analysis results. Based on the target analysis results, it generates simulated data acquisition instructions, and generates the original deployment based on the simulated data acquisition instructions. This results in the original data acquisition instruction deployment, which includes several local data acquisition instruction arrangements, and the execution order of each of the several local data acquisition instruction arrangements.

[0115] The original deployment is generated based on the simulated data acquisition instructions, resulting in an original data acquisition instruction deployment that includes several data acquisition local instruction arrangements. The execution order of each of the several data acquisition local instruction arrangements can also be obtained, so that each data acquisition local instruction arrangement can be executed sequentially according to the execution order.

[0116] Based on the above, an intelligent acquisition system for real-time mine data is presented, including a processor and a memory that communicate with each other. The processor is used to read computer programs from the memory and execute them to implement the above-described method.

[0117] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method during runtime.

[0118] In summary, based on the above scheme, data acquisition instructions are deployed based on the obtained data acquisition instructions that need to be processed, resulting in the original data acquisition instruction deployment. The original data acquisition instruction deployment includes several data acquisition local instruction arrangements. These arrangements are executed sequentially. The execution results of the real-time data acquisition local instruction arrangements are quality checked to obtain the check results corresponding to the real-time data acquisition local instruction arrangements. If the check results do not meet the pre-set key deployment requirements, key deployments are performed on the real-time data acquisition local instruction arrangements based on the check results to obtain optimized data acquisition local instruction arrangements. The original data acquisition instruction deployment is then optimized based on the optimized data acquisition local instruction arrangements, and execution continues from the optimized data acquisition local instruction arrangements until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instructions that need to be processed is obtained. This approach involves verifying the quality of real-time data acquisition local instruction arrangements when executing data acquisition commands requiring processing. Based on the quality of the results, the rationality of the real-time data acquisition local instruction arrangements is assessed. Then, based on the verification results, unreasonable local instruction arrangements are critically deployed. Finally, the optimized local instruction arrangements derived from these critical deployments are used to continue executing data acquisition commands. This avoids the problem of inaccurate final execution results for data acquisition commands due to unreasonable local instruction arrangements, thereby improving the quality of both the local instruction arrangements and the execution results. Furthermore, the dynamic verification and real-time critical deployment mechanism significantly enhances the adaptability and robustness of processing complex data acquisition commands. Iterative optimization ensures the quality and confidence of intelligent data acquisition results from real-time mining data. Optimizing and continuing specific local instruction arrangements that do not meet requirements based on the quality verification results of the execution results eliminates the need for global redeployment of data acquisition commands requiring processing and for repeating previously executed local instruction arrangements. This significantly improves the confidence of data acquisition command execution, thereby enhancing the accuracy of intelligent data acquisition.

[0119] It should be understood that the systems and modules described above can be implemented in various ways. For example, in some embodiments, the systems and modules can be implemented by hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the methods and systems described above can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The systems and modules of this application can be implemented not only by hardware circuits such as very 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 also by software executed by various types of processors, or by a combination of the aforementioned hardware circuits and software (e.g., firmware).

[0120] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects may be any one or a combination of the above, or any other possible beneficial effects.

Claims

1. A method for intelligent acquisition of real-time mine data, characterized in that, The method includes: Obtain data acquisition instructions that need to be processed, deploy data acquisition instructions based on the data acquisition instructions that need to be processed, and obtain the original data acquisition instruction deployment, wherein the original data acquisition instruction deployment includes several data acquisition local instruction arrangements; The plurality of data acquisition local instruction arrangements are executed sequentially, and the execution results of the real-time data acquisition local instruction arrangements executed in the plurality of data acquisition local instruction arrangements are checked for quality, so as to obtain the check results corresponding to the real-time data acquisition local instruction arrangements; If the verification result does not meet the pre-set key deployment requirements, the key deployment of the real-time data acquisition local indication arrangement is carried out based on the verification result to obtain an optimized data acquisition local indication arrangement; The original data acquisition instruction deployment is optimized according to the optimized data acquisition local instruction arrangement, and execution continues from the optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

2. The method as described in claim 1, characterized in that, The process of optimizing the deployment of the original data acquisition instruction according to the optimized local indication arrangement, and continuing execution from the optimized local indication arrangement in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained, includes: The real-time data acquisition local instruction arrangement in the original data acquisition instruction deployment is updated according to the optimized data acquisition local instruction arrangement to obtain the optimized data acquisition instruction deployment; The optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment continues to be executed until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

3. The method as described in claim 1, characterized in that, The process of optimizing the deployment of the original data acquisition instruction according to the optimized local indication arrangement, and continuing execution from the optimized local indication arrangement in the optimized data acquisition instruction deployment until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained, includes: Based on the optimized data acquisition local instruction arrangement, the data acquisition local instruction arrangement to be debugged in the original data acquisition instruction deployment is determined. Based on the optimized data acquisition local instruction arrangement, the data acquisition local instruction arrangement to be debugged is critically deployed to obtain the critically deployed data acquisition local instruction arrangement corresponding to the data acquisition local instruction arrangement to be debugged. The real-time data acquisition local instruction arrangement is updated according to the optimized data acquisition local instruction arrangement, and the data acquisition local instruction arrangement to be debugged is updated according to the key deployment data acquisition local instruction arrangement, so as to obtain an optimized data acquisition instruction deployment; The optimized data acquisition local instruction arrangement in the optimized data acquisition instruction deployment continues to be executed until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained.

4. The method as described in claim 1, characterized in that, The verification results include directional verification results in at least two directions, and the pre-set key deployment requirements include directional key deployment requirements in at least two directions; the quality verification of the execution results of the real-time data acquisition local instruction arrangements executed in the plurality of data acquisition local instruction arrangements, to obtain the verification results corresponding to the real-time data acquisition local instruction arrangements, includes: The execution results of the real-time data acquisition local instruction arrangement executed in the plurality of data acquisition local instruction arrangements are subjected to quality checks in at least two directions to obtain directional check results in at least two directions. When the verification result does not meet the pre-set key deployment requirements, the real-time data acquisition local indication arrangement is critically deployed based on the verification result to obtain an optimized data acquisition local indication arrangement, including: When at least one direction verification result does not meet the direction key deployment requirements of the same direction, the real-time data acquisition local indication arrangement is key deployed based on the direction verification result to obtain an optimized data acquisition local indication arrangement; Wherein, when at least one direction verification result does not meet the critical deployment requirements of the same direction, the critical deployment of the real-time data acquisition local indication arrangement is performed based on the direction verification result to obtain an optimized data acquisition local indication arrangement, including: When at least one direction verification result does not meet the direction critical deployment requirements of the same direction, direction deployment schematic data is generated for the direction verification results that do not meet the direction critical deployment requirements. A standardized verification report is generated based on the verification results of the directions and the corresponding directional deployment schematic data; Based on the verification report, key deployments are made to the real-time data acquisition local instruction arrangement to obtain an optimized data acquisition local instruction arrangement; The at least two directions include at least two of the following: the direction of accurate data collection, the direction of complete data collection, or the direction of historical data matching in the execution result; the verification results of the at least two directions include at least two of the following: data collection accuracy score, data collection completeness score, or matching score; the key deployment requirements for the directions include at least two of the following: pre-setting data collection accuracy score, pre-setting data collection completeness score, or pre-setting matching score.

5. The method as described in claim 1, characterized in that, When the verification result does not meet the pre-set key deployment requirements, the real-time data acquisition local indication arrangement is critically deployed based on the verification result to obtain an optimized data acquisition local indication arrangement, including: If the verification results do not meet the pre-set key deployment requirements, a verification report is generated based on the verification results; Determine the correlation between the real-time data acquisition local indications and the preceding and following indications in the deployment of the original data acquisition instructions; Obtain the execution results of the executed local data acquisition instruction arrangements in the original data acquisition instruction deployment, and perform key deployments based on the real-time local data acquisition instruction arrangements, the execution results of the executed local data acquisition instruction arrangements, the correlation between the preceding and following instructions, and the verification report to obtain optimized local data acquisition instruction arrangements.

6. The method as described in claim 1, characterized in that, The verification results include directional verification results in at least two directions; the quality verification of the execution results of the real-time data acquisition local instruction arrangements executed in the plurality of data acquisition local instruction arrangements, to obtain the verification results corresponding to the real-time data acquisition local instruction arrangements, includes: The execution results of the real-time data acquisition local instruction arrangement executed in the plurality of data acquisition local instruction arrangements are subjected to quality checks in at least two directions to obtain directional check results in at least two directions. A global check is performed based on the directional check results of at least two directions to obtain the check results corresponding to the real-time data acquisition local indication arrangement.

7. The method as described in claim 1, characterized in that, The step of deploying data acquisition instructions based on the data acquisition instructions that need to be processed to obtain the original data acquisition instruction deployment includes: The AI ​​deployment module is invoked, and the AI ​​deployment module deploys data acquisition instructions based on the data acquisition instructions that need to be processed, thereby obtaining the original data acquisition instruction deployment. The sequential execution of the plurality of data acquisition local instruction arrangements, and the quality verification of the execution results obtained from the real-time data acquisition local instruction arrangements executed in the plurality of data acquisition local instruction arrangements, include: The AI ​​module is invoked to execute the plurality of data acquisition local instruction arrangements in sequence. When the execution result of the real-time data acquisition local instruction arrangement in the plurality of data acquisition local instruction arrangements is obtained, the AI ​​module is invoked for verification. The execution results are quality checked by calling the verification AI module; When the verification result does not meet the pre-set key deployment requirements, the real-time data acquisition local indication arrangement is critically deployed based on the verification result to obtain an optimized data acquisition local indication arrangement, including: When the verification result does not meet the pre-set key deployment requirements, the key deployment AI module is invoked. Based on the verification result, the invoked key deployment AI module performs key deployment on the real-time data collection local indication arrangement to obtain an optimized data collection local indication arrangement. The AI ​​execution module includes an AI module that executes each of the data acquisition local instruction arrangements, and the method further includes: Based on the target of the optimized data acquisition local instruction arrangement, select the execution AI module that matches the target from the pre-set AI module cluster; Establish the operational relationship between the optimized data acquisition local instruction arrangement and the matching execution AI module; the operational relationship is used to represent the invocation of the matching execution AI module to execute the optimized data acquisition local instruction arrangement.

8. The method according to any one of claims 1 to 7, characterized in that, The method further includes: If the verification result does not meet the pre-set key deployment requirements, and the real-time data acquisition local indication arrangement is not the last data acquisition local indication arrangement in the original data acquisition instruction deployment, determine the next data acquisition local indication arrangement of the real-time data acquisition local indication arrangement in the original data acquisition instruction deployment; The next data acquisition local instruction arrangement is optimized into a real-time data acquisition local instruction arrangement, and the step of executing the real-time data acquisition local instruction arrangement is entered until the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is obtained; The method further includes: When the verification result does not meet the pre-set key deployment requirements, and the real-time data acquisition local instruction arrangement is the last data acquisition local instruction arrangement in the original data acquisition instruction deployment, the intelligent acquisition result of the real-time mine data corresponding to the data acquisition instruction that needs to be processed is generated based on the execution result of each of the data acquisition local instruction arrangements.

9. The method as described in claim 1, characterized in that, The data acquisition instructions that need to be processed include simulated data acquisition instructions, and the intelligent acquisition results of the real-time mine data include simulated data acquisition results in response to the simulated data acquisition instructions; The process of obtaining data acquisition instructions that need to be processed, deploying data acquisition instructions based on the data acquisition instructions that need to be processed, and obtaining the original data acquisition instruction deployment includes: Obtain an analysis request, perform target analysis on the analysis request, and obtain the target analysis results; Based on the target analysis results, simulated data acquisition instructions are generated. Based on the simulated data acquisition instructions, the original deployment is generated to obtain the original data acquisition instruction deployment, which includes several data acquisition local instruction arrangements, and the execution order of the several data acquisition local instruction arrangements.

10. An intelligent data acquisition system for real-time mining operations, characterized in that, The method includes a processor and a memory that communicate with each other, the processor being configured to read a computer program from the memory and execute it to implement the method of any one of claims 1-9.

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