Method for controlling underground oil distribution safety of metal mine based on digitization

Abstract

The invention relates to the field of digital metal mines, and provides an underground oil distribution safety control method based on a digital metal mine, which comprises the following steps of: S1, acquiring distribution classification data characteristics of underground oil based on the digital metal mine; s2, establishing an underground oil distribution safety control model based on a support vector machine according to the distribution classification data features of the underground oil; s3, performing simulation evaluation processing by using the underground oil distribution safety control model to obtain a control result of underground oil distribution safety; according to the invention, real-time monitoring and safety control are carried out on the digital metal mine underground oil distribution track, so that the oil distribution efficiency and safety can be improved, and safety accidents such as burning explosion can be avoided while oil supply can be efficiently, timely, accurately and safely obtained by underground operating personnel during operation.

Description

Technical Field

[0001] The invention relates to the field of digital metal mines, and in particular to a control method based on the safety of underground oil distribution in digital metal mines. Background Art

[0002] Oil is a dangerous good, and its inherent characteristics are flammable, explosive and corrosion-resistant. During the storage of oil, if there is an operational error or it is affected by the external environment, the oil is very likely to leak, fire or explode, causing economic losses at the least, and polluting the environment or even endangering life at the worst. When using oil tankers to transport oil from the underground large ramp of the metal mine to the various middle-section oil storage tanks underground, due to the poor road conditions in the mining area, there are great safety hazards in oil use, high risk of safety accidents, many oil collection links, low work efficiency, and high labor costs. According to the survey, 95% of the safety accidents involving dangerous goods, including oil, are mostly in the distribution process, and the harm caused is also the greatest. Therefore, the safety of underground oil in metal mines during the distribution process has always been the focus of management and control, which requires strengthening the monitoring and analysis of safety risks of oil.

[0003] Traditional monitoring methods for metal mines mainly rely on manual observation and empirical judgment. It is difficult to achieve comprehensive analysis and abnormal detection of on-site conditions. There are risks of false alarms and missed alarms. It is also difficult to discover and solve production problems in a timely manner, resulting in waste of resources and safety hazards, and it is difficult to meet actual production needs. Digital metal mines use advanced information technology to achieve a modern management method of dataization, networking, and intelligence for the entire process of mine production. It can improve mine production efficiency, reduce production costs, and reduce casualties and environmental pollution. Therefore, on the basis of digital metal mines, it is expected to find a real-time monitoring and data analysis method to comprehensively monitor and manage the underground, so as to detect abnormal situations in a timely manner and take appropriate measures to deal with them, and further control the distribution of underground oil to achieve safe oil use. Summary of the invention

[0004] To achieve the above object, the present invention provides a control method for underground oil distribution safety in a digital metal mine, comprising: S1. Obtaining the distribution classification data characteristics of underground oil based on digital metal mines; S2. Establishing a downhole oil distribution safety control model based on a support vector machine according to the downhole oil distribution classification data characteristics; S3, using the downhole oil distribution safety control model to perform simulation evaluation processing to obtain a control result of downhole oil distribution safety; S3-1, using the downhole oil distribution safety control model to perform simulation analysis to obtain a simulation result of downhole oil distribution; S3-2. Using the simulated working condition results of the downhole oil distribution, an evaluation and analysis is performed to obtain a control result of the safety of the downhole oil distribution.

[0005] Furthermore, the distribution classification data characteristics of underground oil obtained based on digital metal mines include: S1-1. Obtain real-time distribution data of underground oil based on digital metal mines; S1-2, using the real-time distribution data of downhole oil to analyze and process to obtain data characteristics and trend characteristics of the real-time distribution data of downhole oil; S1-3, using the data characteristics and trend characteristics of the downhole oil real-time distribution data to perform correction and verification processing to obtain downhole oil real-time distribution correction data; S1-4. Using the real-time distribution correction data of the downhole oil to perform identification processing, the distribution classification data characteristics of the downhole oil are obtained.

[0006] Furthermore, the real-time distribution data of underground oil obtained based on digital metal mines includes: S1-1-1. Collect underground oil information data based on digital metal mines; S1-1-2, obtaining the distribution method data of the downhole oil according to the information data of the downhole oil; S1-1-2-1, acquiring corresponding distribution classification data according to the information data of the downhole oil; S1-1-2-2, obtaining corresponding transport form data according to the distribution classification data; S1-1-2-3, obtaining corresponding delivery route data according to the transportation form data; S1-1-2-4, using the distribution classification data, transportation form data and distribution route data as distribution method data for downhole oil; S1-1-3, acquiring downhole temperature, humidity, and pressure data of a corresponding distribution area according to the downhole oil distribution method data as downhole oil distribution environment data; S1-1-4, obtaining corresponding downhole oil distribution status data according to the downhole oil distribution environment data; S1-1-5, using the downhole oil information data, downhole oil distribution method data, downhole oil distribution environment data and downhole oil distribution status data as real-time downhole oil distribution data; Among them, downhole oil information data includes oil type, oil quality and oil property data; transportation form data includes pipeline transportation, compressed air transportation and mechanical transportation, distribution route data includes distribution area, station and mileage data; distribution status data includes real-time data of oil level, pressure and flow.

[0007] Furthermore, the data characteristics and trend characteristics of the real-time distribution data of downhole oil obtained by analyzing and processing the real-time distribution data of downhole oil include: S1-2-1, using the real-time distribution data of downhole oil to perform time division processing on the distribution data of different distribution areas to obtain the environmental characteristics of the real-time distribution data of downhole oil, and establish a first nonlinear relationship between the distribution area data and the distribution environment data; different distribution areas correspond to different distribution environments and times, so there is a nonlinear mathematical relationship of variables between the distribution area data and the distribution environment data; S1-2-2, according to the first nonlinear relationship, the distribution mode characteristics of the real-time distribution data of downhole oil in different environments are obtained, and a second nonlinear relationship between the downhole oil distribution mode data and the distribution environment data is established; according to the first nonlinear relationship, the distribution area data corresponding to the different distribution environment data can be obtained, the distribution area data and the distribution mode data are in a one-to-one linear correspondence, and there is a nonlinear mathematical relationship between the distribution mode data and the distribution environment data; S1-2-3, using the real-time distribution data of the downhole oil to obtain the classification characteristics of the downhole oil information data under different distribution methods, and establishing a third nonlinear relationship between the downhole oil information data and the environmental data according to the second nonlinear relationship; different types of oil correspond to different distribution methods, and the third nonlinear mathematical relationship between the distribution environmental data and the oil information data can be obtained according to the second nonlinear relationship; S1-2-4, using the environmental characteristics, distribution method characteristics and oil information data classification characteristics of the downhole oil real-time distribution data as data characteristics of the downhole oil real-time distribution data; S1-2-5. Obtain the influence of the downhole oil distribution data characteristics on the real-time distribution data of the downhole oil based on the first nonlinear relationship, the second nonlinear relationship, and the third nonlinear relationship, and establish the trend direction as the trend characteristic of the real-time distribution data of the downhole oil.

[0008] Furthermore, the data characteristics and trend characteristics of the downhole oil real-time distribution data are used to perform correction and verification processing to obtain the downhole oil real-time distribution correction data: S1-3-1, using the data characteristics and trend characteristics of the real-time downhole oil distribution data and the corresponding historical downhole oil distribution data to perform correction processing to obtain characteristic correction data; S1-3-2. Use the characteristic correction data to perform verification processing to obtain real-time distribution correction data of downhole oil.

[0009] Furthermore, the feature correction data obtained by using the data characteristics and trend characteristics of the real-time downhole oil distribution data and the corresponding historical downhole oil distribution data for correction processing includes: S1-3-1-1, using the current time t as the starting reference time; S1-3-1-2, using the data characteristics and trend characteristics of the downhole oil real-time distribution data, respectively obtain the environmental characteristic data of the downhole oil distribution data corresponding to the current time t, the classification characteristic data of the downhole oil information data and the distribution mode characteristic data of the downhole oil distribution data, and use them as the real-time characteristic data of the downhole oil distribution data; S1-3-1-3, determine whether the environmental characteristic data of the downhole oil distribution data is consistent with the historical downhole oil distribution data, if so, execute S1-3-1-4, otherwise, output the difference between the environmental characteristic data of the downhole oil distribution data and the historical downhole oil distribution data as environmental correction data, and directly execute S1-3-1-6; S1-3-1-4, determine whether the classification feature data of the downhole oil information data is consistent with the historical downhole oil distribution data, if so, execute S1-3-1-5, otherwise, output the difference between the classification feature data of the downhole oil information data and the historical downhole oil distribution data as the oil correction data, and directly execute S1-3-1-6; S1-3-1-5, determine whether the distribution mode characteristic data of the downhole oil distribution data is consistent with the historical downhole oil distribution data, if so, output the distribution mode characteristic data of the downhole oil distribution data as the real-time distribution correction data of the downhole oil, and directly execute S1-4, otherwise, output the difference between the distribution mode characteristic data of the downhole oil distribution data and the historical downhole oil distribution data as the distribution correction data, and execute S1-3-1-6; S1-3-1-6. Output the environmental correction data, fuel correction data and distribution correction data as feature correction data.

[0010] Furthermore, the real-time distribution correction data of downhole oil obtained by verification processing using the characteristic correction data includes: S1-3-2-1, using the characteristic correction data to correct the real-time characteristic data of the downhole oil distribution data to obtain corrected real-time characteristic data; S1-3-2-2, determine whether the corrected real-time characteristic data corresponds to the historical downhole oil distribution data. If so, output the corrected real-time characteristic data as the real-time distribution correction data of downhole oil, and execute S1-4; otherwise, return to S1-3-1-2 to re-acquire the real-time characteristic data of the downhole oil distribution data at different times.

[0011] Furthermore, the real-time distribution correction data of the downhole oil is used to perform identification processing to obtain the distribution classification data features of the downhole oil, including: S1-4-1, performing safety marking processing according to the real-time distribution correction data of the downhole oil to obtain safety threshold data; S1-4-2, identifying and processing the real-time distribution correction data of downhole oil according to the safety threshold data to obtain corresponding distribution classification data features of downhole oil; S1-4-2-1, judging whether the real-time distribution correction data of the downhole oil exceeds the safety threshold, if so, outputting the corresponding real-time distribution correction data of the downhole oil as a dangerous data feature, otherwise, outputting the corresponding real-time distribution correction data of the downhole oil as a safe data feature; S1-4-2-2. Utilize the safety data features and the danger data features as the distribution classification data features of downhole oil.

[0012] Furthermore, establishing a downhole oil distribution safety control model based on a support vector machine according to the downhole oil distribution classification data characteristics includes: S2-1-1, using the real-time distribution data of downhole oil and the distribution classification data features of downhole oil as the training set, and the safety data features in the distribution classification data features of downhole oil as the verification set, an initial classification model is established based on a support vector machine; S2-1-2, determine whether the output result of the initial classification model corresponds to the verification set, if so, execute S2-1-3, otherwise, use the non-corresponding verification set as the updated training set and return to S2-1-1; S2-1-3, obtaining the distribution classification data features of downhole oil at different times, inputting the obtained distribution classification data features of downhole oil into the initial classification model to obtain initial output results, and executing S2-1-4; S2-1-4. Determine whether the initial output result corresponds to the verification set. If so, output the initial classification model as the downhole oil distribution safety control model. Otherwise, use the downhole oil distribution classification data features at different times as the updated training set and return to S2-1-1.

[0013] Furthermore, the simulation analysis using the downhole oil distribution safety control model obtains the following simulation results of downhole oil distribution: S3-1-1, using the downhole oil distribution safety control model to obtain downhole oil distribution safety feature output data; S3-1-2, using the downhole oil distribution safety feature output data to obtain corresponding classification feature output data of downhole oil information data, environmental feature output data of downhole oil distribution data, and distribution mode feature output data of downhole oil distribution data; S3-1-3, using the classification feature output data of the downhole oil information data, the environmental feature output data of the downhole oil distribution data, and the distribution method feature output data of the downhole oil distribution data to establish a downhole oil distribution trajectory simulation model; wherein the downhole oil distribution trajectory simulation model is used to simulate the distribution trajectories of different types of oil in the downhole oil distribution operation, and record the area, route, environment and other data involved in the execution of the corresponding distribution trajectory; S3-1-4, obtaining simulation data characteristics of downhole oil distribution data according to the downhole oil distribution trajectory simulation model; S3-1-4-1, inputting the downhole oil information data into the downhole oil distribution trajectory simulation model to obtain the downhole oil information simulation data characteristics; S3-1-4-2, inputting the downhole oil distribution mode data into the downhole oil distribution trajectory simulation model to obtain the downhole oil distribution mode simulation data characteristics; S3-1-4-3, inputting the downhole oil distribution environment data into the downhole oil distribution trajectory simulation model to obtain the downhole oil distribution environment simulation data characteristics; S3-1-4-4, using the downhole oil information simulation data characteristics, the downhole oil distribution method simulation data characteristics and the downhole oil distribution environment simulation data characteristics as the downhole oil distribution data simulation data characteristics; S3-1-5, determining whether the simulated data features of the downhole oil distribution data correspond to the data features of the downhole oil real-time distribution data, if so, executing S3-1-6, otherwise, obtaining the data features of the downhole oil real-time distribution data corresponding to the simulated data features of the downhole oil distribution data as updated output data, and returning to S3-1-3; S3-1-6, judging whether there is a corresponding second nonlinear relationship between the downhole oil distribution mode simulation data characteristics and the downhole oil distribution environment simulation data characteristics, if so, executing S3-1-7, otherwise, obtaining the downhole oil distribution real-time data corresponding to the downhole oil distribution mode simulation data characteristics and the downhole oil distribution environment simulation data characteristics, and using them as an updated training set, returning to S2-1-1; S3-1-7. Determine whether there is a corresponding third nonlinear relationship between the downhole oil information simulation data characteristics and the downhole oil distribution environment simulation data characteristics. If so, output the corresponding downhole oil distribution data simulation data characteristics as the simulation working condition result, and execute S3-2-1. Otherwise, obtain the real-time distribution data of downhole oil corresponding to the downhole oil information simulation data characteristics and the downhole oil distribution environment simulation data characteristics, and use them as the updated training set and return to S2-1-1.

[0014] Furthermore, the control results of the safety of downhole oil distribution obtained by evaluating and analyzing the simulated working condition results of downhole oil distribution include: S3-2-1, judging whether the simulated working condition result of the downhole oil distribution is accurate compared with the historical downhole oil distribution result, if so, outputting the simulated working condition result of the downhole oil distribution as the basic evaluation result, and executing S3-2-2, otherwise, obtaining the real-time distribution data of the downhole oil corresponding to the simulated working condition as the updated training set, and returning to S2-1-1; S3-2-2, determining whether the downhole oil distribution classification data feature corresponding to the basic assessment result is a safety data feature, if so, outputting the basic assessment result as a downhole oil distribution safety verification result, otherwise, obtaining the downhole oil distribution classification data feature corresponding to the basic assessment result as an updated training set, and returning to S2-1-1; S3-2-3. Determine whether the downhole oil distribution safety verification result corresponds to the safety data features at time t-1. If so, output the downhole oil distribution safety verification result as the control result of downhole oil distribution safety. Otherwise, obtain the safety data features corresponding to the downhole oil distribution safety verification result as the updated training set, and return to execute S2-1-1.

[0015] Compared with the closest prior art, the present invention has the following beneficial effects: The control method for the safety of underground oil distribution in digital metal mines provided by the present invention can realize the intelligent management and control of oil distribution, and improve the efficiency and safety of oil distribution through real-time monitoring and safety control, so as to ensure that underground workers can obtain oil supply efficiently, timely, accurately and safely while avoiding the occurrence of safety accidents such as combustion and explosion when performing operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a flow chart of a control method for underground oil distribution safety in a digital metal mine. DETAILED DESCRIPTION

[0017] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0018] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1: The present invention provides a control method for the safety of oil distribution in underground metal mines based on digitalization, such as Figure 1 As shown, including: S1. Obtaining the distribution classification data characteristics of underground oil based on digital metal mines; S2. Establishing a downhole oil distribution safety control model based on a support vector machine according to the downhole oil distribution classification data characteristics; S3. Using the downhole oil distribution safety control model to perform simulation evaluation and processing to obtain a control result of downhole oil distribution safety.

[0020] S1 specifically includes: S1-1. Obtain real-time distribution data of underground oil based on digital metal mines; S1-2, using the real-time distribution data of downhole oil to analyze and process to obtain data characteristics and trend characteristics of the real-time distribution data of downhole oil; S1-3, using the data characteristics and trend characteristics of the downhole oil real-time distribution data to perform correction and verification processing to obtain downhole oil real-time distribution correction data; S1-4, using the real-time distribution correction data of the downhole oil to perform identification processing to obtain distribution classification data features of the downhole oil; S1-1 specifically includes: S1-1-1. Collect underground oil information data based on digital metal mines; S1-1-2, obtaining the distribution method data of the downhole oil according to the information data of the downhole oil; S1-1-2-1, acquiring corresponding distribution classification data according to the information data of the downhole oil; S1-1-2-2, obtaining corresponding transport form data according to the distribution classification data; S1-1-2-3, obtaining corresponding delivery route data according to the transportation form data; S1-1-2-4, using the distribution classification data, transportation form data and distribution route data as distribution method data for downhole oil; S1-1-3, acquiring downhole temperature, humidity, and pressure data of a corresponding distribution area according to the downhole oil distribution method data as downhole oil distribution environment data; S1-1-4, obtaining corresponding downhole oil distribution status data according to the downhole oil distribution environment data; S1-1-5. Utilize the downhole oil information data, downhole oil distribution method data, downhole oil distribution environment data and downhole oil distribution status data as real-time downhole oil distribution data; wherein, the downhole oil information data can be obtained from the oil supply end of the digital metal mine, including oil type, oil quality and oil property data; the transportation form data includes pipeline transportation, compressed air transportation and mechanical transportation, and the distribution route data includes distribution area, station and mileage data; the distribution status data includes real-time data of oil level, pressure and flow.

[0021] S1-2 specifically includes: S1-2-1, using the real-time distribution data of downhole oil to perform time division processing on the distribution data of different distribution areas to obtain the environmental characteristics of the real-time distribution data of downhole oil, and establish a first nonlinear relationship between the distribution area data and the distribution environment data; S1-2-2, obtaining the distribution mode characteristics of the downhole oil real-time distribution data under different environments according to the first nonlinear relationship, and establishing a second nonlinear relationship between the downhole oil distribution mode data and the distribution environment data; S1-2-3, using the real-time distribution data of the downhole oil to obtain classification characteristics of the downhole oil information data under different distribution modes, and establishing a third nonlinear relationship between the downhole oil information data and the environmental data according to the second nonlinear relationship; S1-2-4, using the environmental characteristics, distribution method characteristics and oil information data classification characteristics of the downhole oil real-time distribution data as data characteristics of the downhole oil real-time distribution data; S1-2-5. Obtain the influence of the downhole oil distribution data characteristics on the real-time distribution data of the downhole oil based on the first nonlinear relationship, the second nonlinear relationship, and the third nonlinear relationship, and establish the trend direction as the trend characteristic of the real-time distribution data of the downhole oil.

[0022] S1-3 specifically includes: S1-3-1, using the data characteristics and trend characteristics of the real-time downhole oil distribution data and the corresponding historical downhole oil distribution data to perform correction processing to obtain characteristic correction data; S1-3-1-1, using the current time t as the starting reference time; S1-3-1-2, using the data characteristics and trend characteristics of the downhole oil real-time distribution data, respectively obtain the environmental characteristic data of the downhole oil distribution data corresponding to the current time t, the classification characteristic data of the downhole oil information data and the distribution mode characteristic data of the downhole oil distribution data, and use them as the real-time characteristic data of the downhole oil distribution data; S1-3-1-3, determine whether the environmental characteristic data of the downhole oil distribution data is consistent with the historical downhole oil distribution data, if so, execute S1-3-1-4, otherwise, output the difference between the environmental characteristic data of the downhole oil distribution data and the historical downhole oil distribution data as environmental correction data, and directly execute S1-3-1-6; S1-3-1-4, determine whether the classification feature data of the downhole oil information data is consistent with the historical downhole oil distribution data, if so, execute S1-3-1-5, otherwise, output the difference between the classification feature data of the downhole oil information data and the historical downhole oil distribution data as the oil correction data, and directly execute S1-3-1-6; S1-3-1-5, determine whether the distribution mode characteristic data of the downhole oil distribution data is consistent with the historical downhole oil distribution data, if so, output the distribution mode characteristic data of the downhole oil distribution data as the real-time distribution correction data of the downhole oil, and directly execute S1-4, otherwise, output the difference between the distribution mode characteristic data of the downhole oil distribution data and the historical downhole oil distribution data as the distribution correction data, and execute S1-3-1-6; S1-3-1-6. Output the environmental correction data, fuel correction data and distribution correction data as feature correction data.

[0023] S1-3-2, using the characteristic correction data to perform verification processing to obtain real-time distribution correction data of downhole oil; S1-3-2-1, using the characteristic correction data to correct the real-time characteristic data of the downhole oil distribution data to obtain corrected real-time characteristic data; S1-3-2-2, determine whether the corrected real-time characteristic data corresponds to the historical downhole oil distribution data. If so, output the corrected real-time characteristic data as the real-time distribution correction data of downhole oil, and execute S1-4; otherwise, return to S1-3-1-2 to re-acquire the real-time characteristic data of the downhole oil distribution data at different times.

[0024] S1-4 specifically includes: S1-4-1, performing safety marking processing according to the real-time distribution correction data of the downhole oil to obtain safety threshold data; S1-4-2, identifying and processing the real-time distribution correction data of downhole oil according to the safety threshold data to obtain corresponding distribution classification data features of downhole oil; S1-4-2-1, judging whether the real-time distribution correction data of the downhole oil exceeds the safety threshold, if so, outputting the corresponding real-time distribution correction data of the downhole oil as a dangerous data feature, otherwise, outputting the corresponding real-time distribution correction data of the downhole oil as a safe data feature; S1-4-2-2. Utilize the safety data features and the danger data features as the distribution classification data features of downhole oil.

[0025] S2-1 specifically includes: S2-1-1, using the real-time distribution data of downhole oil and the distribution classification data features of downhole oil as the training set, and the safety data features in the distribution classification data features of downhole oil as the verification set, an initial classification model is established based on a support vector machine; S2-1-2, determine whether the output result of the initial classification model corresponds to the verification set, if so, execute S2-1-3, otherwise, use the non-corresponding verification set as the updated training set and return to S2-1-1; S2-1-3, obtaining the distribution classification data features of downhole oil at different times, inputting the obtained distribution classification data features of downhole oil into the initial classification model to obtain initial output results, and executing S2-1-4; S2-1-4. Determine whether the initial output result corresponds to the verification set. If so, output the initial classification model as the downhole oil distribution safety control model. Otherwise, use the downhole oil distribution classification data features at different times as the updated training set and return to S2-1-1.

[0026] S3 specifically includes: S3-1, using the downhole oil distribution safety control model to perform simulation analysis to obtain a simulation result of downhole oil distribution; S3-2. Using the simulated working condition results of the downhole oil distribution, an evaluation and analysis is performed to obtain a control result of the safety of the downhole oil distribution.

[0027] S3-1 specifically includes: S3-1-1, using the downhole oil distribution safety control model to obtain downhole oil distribution safety feature output data; S3-1-2, using the downhole oil distribution safety feature output data to obtain corresponding classification feature output data of downhole oil information data, environmental feature output data of downhole oil distribution data, and distribution mode feature output data of downhole oil distribution data; S3-1-3, using the classification feature output data of the downhole oil information data, the environmental feature output data of the downhole oil distribution data, and the distribution mode feature output data of the downhole oil distribution data to establish a downhole oil distribution trajectory simulation model; S3-1-4, obtaining simulation data characteristics of downhole oil distribution data according to the downhole oil distribution trajectory simulation model; S3-1-4-1, inputting the downhole oil information data into the downhole oil distribution trajectory simulation model to obtain the downhole oil information simulation data characteristics; S3-1-4-2, inputting the downhole oil distribution mode data into the downhole oil distribution trajectory simulation model to obtain the downhole oil distribution mode simulation data characteristics; S3-1-4-3, inputting the downhole oil distribution environment data into the downhole oil distribution trajectory simulation model to obtain the downhole oil distribution environment simulation data characteristics; S3-1-4-4, using the downhole oil information simulation data characteristics, the downhole oil distribution method simulation data characteristics and the downhole oil distribution environment simulation data characteristics as the downhole oil distribution data simulation data characteristics; S3-1-5, determining whether the simulated data features of the downhole oil distribution data correspond to the data features of the downhole oil real-time distribution data, if so, executing S3-1-6, otherwise, obtaining the data features of the downhole oil real-time distribution data corresponding to the simulated data features of the downhole oil distribution data as updated output data, and returning to S3-1-3; S3-1-6, judging whether there is a corresponding second nonlinear relationship between the downhole oil distribution mode simulation data characteristics and the downhole oil distribution environment simulation data characteristics, if so, executing S3-1-7, otherwise, obtaining the downhole oil distribution real-time data corresponding to the downhole oil distribution mode simulation data characteristics and the downhole oil distribution environment simulation data characteristics, and using them as an updated training set, returning to S2-1-1; S3-1-7. Determine whether there is a corresponding third nonlinear relationship between the downhole oil information simulation data characteristics and the downhole oil distribution environment simulation data characteristics. If so, output the corresponding downhole oil distribution data simulation data characteristics as the simulation working condition result, and execute S3-2-1. Otherwise, obtain the real-time distribution data of downhole oil corresponding to the downhole oil information simulation data characteristics and the downhole oil distribution environment simulation data characteristics, and use them as the updated training set and return to S2-1-1.

[0028] S3-2 specifically includes: S3-2-1, judging whether the simulated working condition result of the downhole oil distribution is accurate compared with the historical downhole oil distribution result, if so, outputting the simulated working condition result of the downhole oil distribution as the basic evaluation result, and executing S3-2-2, otherwise, obtaining the real-time distribution data of the downhole oil corresponding to the simulated working condition as the updated training set, and returning to S2-1-1; S3-2-2, determining whether the downhole oil distribution classification data feature corresponding to the basic assessment result is a safety data feature, if so, outputting the basic assessment result as a downhole oil distribution safety verification result, otherwise, obtaining the downhole oil distribution classification data feature corresponding to the basic assessment result as an updated training set, and returning to S2-1-1; S3-2-3. Determine whether the downhole oil distribution safety verification result corresponds to the safety data features at time t-1. If so, output the downhole oil distribution safety verification result as the control result of downhole oil distribution safety. Otherwise, obtain the safety data features corresponding to the downhole oil distribution safety verification result as the updated training set, and return to execute S2-1-1.

[0029] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0030] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0031] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0032] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0033] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A control method for the safety of underground oil distribution in a digital metal mine, characterized in that: include: S1. Obtaining the distribution classification data characteristics of underground oil based on digital metal mines; S1-1. Obtain real-time distribution data of underground oil based on digital metal mines; S1-2, using the real-time distribution data of downhole oil to analyze and process to obtain data characteristics and trend characteristics of the real-time distribution data of downhole oil; S1-3, using the data characteristics and trend characteristics of the downhole oil real-time distribution data to perform correction and verification processing to obtain downhole oil real-time distribution correction data; S1-4, using the real-time distribution correction data of the downhole oil to perform identification processing to obtain distribution classification data features of the downhole oil; S2. Establishing a downhole oil distribution safety control model based on a support vector machine according to the downhole oil distribution classification data characteristics; S3, using the downhole oil distribution safety control model to perform simulation evaluation processing to obtain a control result of downhole oil distribution safety; S3-1, using the downhole oil distribution safety control model to perform simulation analysis to obtain a simulation result of downhole oil distribution; S3-2. Using the simulated working condition results of the downhole oil distribution, an evaluation and analysis is performed to obtain a control result of the safety of the downhole oil distribution.

2. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 1, characterized in that: The real-time distribution data of underground oil obtained based on digital metal mines includes: S1-1-1. Collect underground oil information data based on digital metal mines; S1-1-2, obtaining the distribution method data of the downhole oil according to the information data of the downhole oil; S1-1-2-1, acquiring corresponding distribution classification data according to the information data of the downhole oil; S1-1-2-2, obtaining corresponding transport form data according to the distribution classification data; S1-1-2-3, obtaining corresponding delivery route data according to the transportation form data; S1-1-2-4, using the distribution classification data, transportation form data and distribution route data as distribution method data for downhole oil; S1-1-3, acquiring downhole temperature, humidity, and pressure data of a corresponding distribution area according to the downhole oil distribution method data as downhole oil distribution environment data; S1-1-4, obtaining corresponding downhole oil distribution status data according to the downhole oil distribution environment data; S1-1-5. Utilize the downhole oil information data, downhole oil distribution method data, downhole oil distribution environment data and downhole oil distribution status data as real-time downhole oil distribution data.

3. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 1, characterized in that: The data characteristics and trend characteristics of the real-time distribution data of downhole oil obtained by analyzing and processing the real-time distribution data of downhole oil include: S1-2-1, using the real-time distribution data of downhole oil to perform time division processing on the distribution data of different distribution areas to obtain the environmental characteristics of the real-time distribution data of downhole oil, and establish a first nonlinear relationship between the distribution area data and the distribution environment data; S1-2-2, obtaining the distribution mode characteristics of the downhole oil real-time distribution data under different environments according to the first nonlinear relationship, and establishing a second nonlinear relationship between the downhole oil distribution mode data and the distribution environment data; S1-2-3, using the real-time distribution data of the downhole oil to obtain classification characteristics of the downhole oil information data under different distribution modes, and establishing a third nonlinear relationship between the downhole oil information data and the environmental data according to the second nonlinear relationship; S1-2-4, using the environmental characteristics, distribution method characteristics and oil information data classification characteristics of the downhole oil real-time distribution data as data characteristics of the downhole oil real-time distribution data; S1-2-5. Obtain the influence of the downhole oil distribution data characteristics on the real-time distribution data of the downhole oil based on the first nonlinear relationship, the second nonlinear relationship, and the third nonlinear relationship, and establish the trend direction as the trend characteristic of the real-time distribution data of the downhole oil.

4. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 1, characterized in that: The real-time distribution correction data of downhole oil obtained by performing correction and verification processing using the data characteristics and trend characteristics of the downhole oil real-time distribution data includes: S1-3-1, using the data characteristics and trend characteristics of the real-time downhole oil distribution data and the corresponding historical downhole oil distribution data to perform correction processing to obtain characteristic correction data; S1-3-2. Use the characteristic correction data to perform verification processing to obtain real-time distribution correction data of downhole oil.

5. A control method for the safety of underground oil distribution in a digital metal mine as claimed in claim 4, characterized in that: The feature correction data obtained by using the data characteristics and trend characteristics of the downhole oil real-time distribution data and the corresponding historical downhole oil distribution data for correction processing include: S1-3-1-1, using the current time t as the starting reference time; S1-3-1-2, using the data characteristics and trend characteristics of the downhole oil real-time distribution data, respectively obtain the environmental characteristic data of the downhole oil distribution data corresponding to the current time t, the classification characteristic data of the downhole oil information data and the distribution mode characteristic data of the downhole oil distribution data, and use them as the real-time characteristic data of the downhole oil distribution data; S1-3-1-3, determine whether the environmental characteristic data of the downhole oil distribution data is consistent with the historical downhole oil distribution data, if so, execute S1-3-1-4, otherwise, output the difference between the environmental characteristic data of the downhole oil distribution data and the historical downhole oil distribution data as environmental correction data, and directly execute S1-3-1-6; S1-3-1-4, determine whether the classification feature data of the downhole oil information data is consistent with the historical downhole oil distribution data, if so, execute S1-3-1-5, otherwise, output the difference between the classification feature data of the downhole oil information data and the historical downhole oil distribution data as the oil correction data, and directly execute S1-3-1-6; S1-3-1-5, determine whether the distribution mode characteristic data of the downhole oil distribution data is consistent with the historical downhole oil distribution data, if so, output the distribution mode characteristic data of the downhole oil distribution data as the real-time distribution correction data of the downhole oil, and directly execute S1-4, otherwise, output the difference between the distribution mode characteristic data of the downhole oil distribution data and the historical downhole oil distribution data as the distribution correction data, and execute S1-3-1-6; S1-3-1-6. Output the environmental correction data, fuel correction data and distribution correction data as feature correction data.

6. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 4, characterized in that: The real-time distribution correction data of downhole oil obtained by verification processing using the characteristic correction data includes: S1-3-2-1, using the characteristic correction data to correct the real-time characteristic data of the downhole oil distribution data to obtain corrected real-time characteristic data; S1-3-2-2, determine whether the corrected real-time characteristic data corresponds to the historical downhole oil distribution data. If so, output the corrected real-time characteristic data as the real-time distribution correction data of downhole oil, and execute S1-4; otherwise, return to S1-3-1-2 to re-acquire the real-time characteristic data of the downhole oil distribution data at different times.

7. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 3, characterized in that: The distribution classification data features of downhole oil obtained by identification processing using the real-time distribution correction data of downhole oil include: S1-4-1, performing safety marking processing according to the real-time distribution correction data of the downhole oil to obtain safety threshold data; S1-4-2, identifying and processing the real-time distribution correction data of downhole oil according to the safety threshold data to obtain corresponding distribution classification data features of downhole oil; S1-4-2-1, judging whether the real-time distribution correction data of the downhole oil exceeds the safety threshold, if so, outputting the corresponding real-time distribution correction data of the downhole oil as a dangerous data feature, otherwise, outputting the corresponding real-time distribution correction data of the downhole oil as a safe data feature; S1-4-2-2. Utilize the safety data features and the danger data features as the distribution classification data features of downhole oil.

8. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 7, characterized in that: According to the classification data characteristics of the downhole oil distribution, a downhole oil distribution safety control model is established based on a support vector machine, including: S2-1-1, using the real-time distribution data of downhole oil and the distribution classification data features of downhole oil as the training set, and the safety data features in the distribution classification data features of downhole oil as the verification set, an initial classification model is established based on a support vector machine; S2-1-2, determine whether the output result of the initial classification model corresponds to the verification set, if so, execute S2-1-3, otherwise, use the non-corresponding verification set as the updated training set and return to S2-1-1; S2-1-3, obtaining the distribution classification data features of downhole oil at different times, inputting the obtained distribution classification data features of downhole oil into the initial classification model to obtain initial output results, and executing S2-1-4; S2-1-4. Determine whether the initial output result corresponds to the verification set. If so, output the initial classification model as the downhole oil distribution safety control model. Otherwise, use the downhole oil distribution classification data features at different times as the updated training set and return to S2-1-1.

9. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 8, characterized in that: The simulation results of downhole oil distribution obtained by simulation analysis using the downhole oil distribution safety control model include: S3-1-1, using the downhole oil distribution safety control model to obtain downhole oil distribution safety feature output data; S3-1-2, using the downhole oil distribution safety feature output data to obtain corresponding classification feature output data of downhole oil information data, environmental feature output data of downhole oil distribution data, and distribution mode feature output data of downhole oil distribution data; S3-1-3, using the classification feature output data of the downhole oil information data, the environmental feature output data of the downhole oil distribution data, and the distribution mode feature output data of the downhole oil distribution data to establish a downhole oil distribution trajectory simulation model; S3-1-4, obtaining simulation data characteristics of downhole oil distribution data according to the downhole oil distribution trajectory simulation model; S3-1-4-1, inputting the downhole oil information data into the downhole oil distribution trajectory simulation model to obtain the downhole oil information simulation data characteristics; S3-1-4-2, inputting the downhole oil distribution mode data into the downhole oil distribution trajectory simulation model to obtain the downhole oil distribution mode simulation data characteristics; S3-1-4-3, inputting the downhole oil distribution environment data into the downhole oil distribution trajectory simulation model to obtain the downhole oil distribution environment simulation data characteristics; S3-1-4-4, using the downhole oil information simulation data characteristics, the downhole oil distribution method simulation data characteristics and the downhole oil distribution environment simulation data characteristics as the downhole oil distribution data simulation data characteristics; S3-1-5, determining whether the simulated data features of the downhole oil distribution data correspond to the data features of the downhole oil real-time distribution data, if so, executing S3-1-6, otherwise, obtaining the data features of the downhole oil real-time distribution data corresponding to the simulated data features of the downhole oil distribution data as updated output data, and returning to S3-1-3; S3-1-6, judging whether there is a corresponding second nonlinear relationship between the downhole oil distribution mode simulation data characteristics and the downhole oil distribution environment simulation data characteristics, if so, executing S3-1-7, otherwise, obtaining the downhole oil distribution real-time data corresponding to the downhole oil distribution mode simulation data characteristics and the downhole oil distribution environment simulation data characteristics, and using them as an updated training set, returning to S2-1-1; S3-1-7. Determine whether there is a corresponding third nonlinear relationship between the downhole oil information simulation data characteristics and the downhole oil distribution environment simulation data characteristics. If so, output the corresponding downhole oil distribution data simulation data characteristics as the simulation working condition result, and execute S3-2-1. Otherwise, obtain the real-time distribution data of downhole oil corresponding to the downhole oil information simulation data characteristics and the downhole oil distribution environment simulation data characteristics, and use them as the updated training set and return to S2-1-1.

10. A control method for underground oil distribution safety in a digital metal mine as claimed in claim 9, characterized in that: The control results of the safety of downhole oil distribution obtained by evaluating and analyzing the simulated working condition results of downhole oil distribution include: S3-2-1, judging whether the simulated working condition result of the downhole oil distribution is accurate compared with the historical downhole oil distribution result, if so, outputting the simulated working condition result of the downhole oil distribution as the basic evaluation result, and executing S3-2-2, otherwise, obtaining the real-time distribution data of the downhole oil corresponding to the simulated working condition as the updated training set, and returning to S2-1-1; S3-2-2, determining whether the downhole oil distribution classification data feature corresponding to the basic assessment result is a safety data feature, if so, outputting the basic assessment result as a downhole oil distribution safety verification result, otherwise, obtaining the downhole oil distribution classification data feature corresponding to the basic assessment result as an updated training set, and returning to S2-1-1; S3-2-3. Determine whether the downhole oil distribution safety verification result corresponds to the safety data features at time t-1. If so, output the downhole oil distribution safety verification result as the control result of downhole oil distribution safety. Otherwise, obtain the safety data features corresponding to the downhole oil distribution safety verification result as the updated training set, and return to execute S2-1-1.

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