A method and system for open-pit mine overhaul management based on a 5G network

Abstract

The application discloses an open-pit mine overhauling management method and system based on a 5G network, and relates to the technical field of mine overhauling management. The application discloses an open-pit mine overhauling management method and system based on a 5G network, and relates to the technical field of mine overhauling management. The application discloses an open-pit mine overhauling management method and system based on a 5G network, and relates to the technical field of mine overhauling management. The application discloses an open-pit mine overhauling management method and system based on a 5G network, and relates to the technical field of mine overhauling management. The application discloses an open-pit mine overhauling management method and system based on a 5G network, and relates to the technical field of mine overhauling management. The application discloses an open-pit mine overhauling management method and system based on a 5 G network, and relates to the technical field of mine overhauling management.

Description

Technical Field

[0001] This invention relates to the technical field of open-pit mine maintenance management, and in particular to an open-pit mine maintenance management method and system based on a 5G network. Background Technology

[0002] Open-pit mine management can be broadly divided into two parts: production management and maintenance management. Maintenance management decisions are based on a comprehensive analysis of open-pit mine equipment operating data; therefore, the accuracy and timeliness of the data are extremely important for maintenance management.

[0003] Currently, the level of automation in the maintenance and management of open-pit mines in my country is low, and the efficiency of data exchange is also low. The following problems exist in the maintenance and management process:

[0004] (1) Most of the basic data on equipment operation is copied by people and then entered into the computer, or even recorded on paper. For example, the operating hours of important assemblies such as the engine, main generator, gearbox, and electric wheel of the mine dump truck. These assemblies need to be overhauled regularly according to the maintenance management needs of modern open-pit mines. However, it is inevitable that the records will be inaccurate or missing when copied by people.

[0005] (2) Open-pit mine equipment is constantly running and the data is constantly being updated. At present, most of the maintenance and management of open-pit mines in my country are based on single-unit filing and daily updates. The update speed can no longer meet the requirements of intelligent mine management.

[0006] (3) The efficiency of basic data collection is low. When it is necessary to conduct an overall analysis of a certain type of equipment, basic data needs to be collected from various departments or teams.

[0007] (4) The basic data analysis is inefficient. A lot of calculations are often required to obtain indicators for leaders to refer to, such as equipment utilization rate, failure rate, equipment consumption cost, cost per ton of coal and fuel oil, etc.

[0008] (5) Currently, all steps in open-pit mines involve a lot of human intervention, which is prone to errors. If one piece of data is wrong, all the analysis results will be wrong. Summary of the Invention

[0009] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0010] In view of the aforementioned existing problems, the present invention is proposed.

[0011] Therefore, the technical problem solved by this invention is that the level of automation in the maintenance and management of open-pit mines in my country is not high and the efficiency of data exchange is low.

[0012] To address the aforementioned technical problems, this invention provides the following technical solution: A data acquisition module is used to collect relevant data information from mining equipment in real time; the pre-processed data information is uploaded to a data analysis module via a 5G network; the data analysis module analyzes the extracted information and outputs the analysis results; the analysis results are uploaded to a human-computer interaction interface via the 5G network for visual display, thereby realizing the maintenance management of open-pit mines.

[0013] As a preferred embodiment of the 5G network-based open-pit mine maintenance and management method of the present invention, the relevant data information of the mining equipment includes relevant data information obtained by real-time reading based on the set measuring points.

[0014] As a preferred embodiment of the open-pit mine maintenance management method based on 5G network described in this invention, the preprocessing of the relevant data information includes: removing unique attributes; handling missing values: deleting features containing missing values ​​or filling in missing values; feature encoding: feature binarization and one-hot encoding; data standardization and regularization; feature selection: selecting a subset of relevant features from a given feature set.

[0015] As a preferred embodiment of the 5G network-based open-pit mine maintenance management method of the present invention, the process of analyzing the extracted information using the data analysis module includes: extracting feature values ​​of the relevant data information and co-allocating the feature values; constructing a fault analysis model and an equipment maintenance analysis model; training and testing the analysis model based on data in the historical database; obtaining a trained analysis model when the test accuracy meets a preset standard; inputting the co-allocated feature values ​​into different trained analysis models respectively, and outputting the analysis results.

[0016] As a preferred embodiment of the 5G network-based open-pit mine maintenance management method of the present invention, the feature value extraction process includes constructing a covariance matrix of the sample based on preprocessed relevant data information, the calculation formula of which is:

[0017]

[0018] Where m represents the total number of data points, θ i θ j Let i and j represent the mean values ​​of the eigenvalues ​​i and j, respectively.

[0019] Calculate the eigenvalues ​​and corresponding eigenvectors of the covariance matrix, select the eigenvectors corresponding to the first j maximum values, where j ≤ z; construct a mapping matrix P using the first j eigenvectors; and convert the j-dimensional original data into a j-dimensional feature subspace using the mapping matrix P.

[0020] As a preferred embodiment of the 5G network-based open-pit mine maintenance management method of the present invention, the collaborative strategy for collaboratively allocating the feature values ​​includes: constructing a data allocation model based on a deep neural network; using the data allocation model to extract data information that needs to be analyzed and processed from the preprocessed relevant data information; determining the connection relationship between the extracted data information and each analysis model, thereby quickly obtaining the analysis model corresponding to the relevant data information.

[0021] As a preferred embodiment of the 5G network-based open-pit mine maintenance management method described in this invention, the construction of the fault analysis model includes:

[0022]

[0023] Q(t) = 1 - e -λt

[0024] ω t =λ(1-Q(t))

[0025] Where Q(t) represents the unavailability degree, ω t Let λ represent the failure frequency, λ represent the failure rate, ΔD(t) represent the output value, t represent time, and m represent the number of data samples.

[0026] When the output value ΔD(t)∈(0,1), it indicates that a fault has occurred.

[0027] As a preferred embodiment of the 5G network-based open-pit mine maintenance management method described in this invention, the construction of the equipment maintenance analysis model includes quantifying the similarity between the original data and the data in the database using a Euclidean distance strategy.

[0028]

[0029]

[0030] Where c represents the condition that 0 ≤ R ij A constant R ≤ 1 ij The output value represents the similarity score, y. ik Represents the feature values ​​of the original data, y jk This represents the characteristic values ​​of data in the database.

[0031] As a preferred embodiment of the 5G network-based open-pit mine maintenance management method of the present invention, the human-machine interface displays the following content based on the analysis results: fault reporting, refueling request, and overhaul reminder.

[0032] To address the aforementioned technical problems, the present invention also provides an open-pit mine maintenance and management system based on a 5G network, comprising: a data acquisition module for real-time acquisition of relevant data information from mining equipment; a data analysis module connected to the data acquisition module via a 5G network for analyzing and processing the relevant data information; and a human-machine interface connected to the data analysis module via the 5G network for visually displaying the analysis and processing results.

[0033] The beneficial effects of this invention are: it can greatly reduce the workload of personnel, greatly improve the accuracy of data, monitor the operating status of equipment in real time, quickly export the required indicator information, provide intelligent reminders for the maintenance status of various equipment, and provide alarm prompts for abnormal equipment consumption. It is one of the essential tools for the construction of intelligent mines. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0035] Figure 1 A schematic diagram of the basic process of an open-pit mine maintenance management method and system based on a 5G network, provided as an embodiment of the present invention;

[0036] Figure 2 A schematic diagram of the module structure of an open-pit mine maintenance management method and system based on a 5G network, provided in one embodiment of the present invention;

[0037] Figure 3 This is a schematic diagram of another module structure of an open-pit mine maintenance management method and system based on a 5G network, provided as an embodiment of the present invention. Detailed Implementation

[0038] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0039] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0040] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0041] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0042] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0043] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0044] Example 1

[0045] Reference Figure 1 As an embodiment of the present invention, a method for maintenance management of open-pit mines based on a 5G network is provided, comprising:

[0046] S1: Use the data acquisition module 100 to collect relevant data information of mining equipment in real time.

[0047] It should be noted that the relevant data information of the mining equipment includes data information obtained in real time based on the set measuring points.

[0048] S2: The preprocessed relevant data information is uploaded to the data analysis module 300 via the 5G network 200. The data analysis module 300 analyzes the extracted information and outputs the analysis results.

[0049] It should be noted that the preprocessing-related data information includes:

[0050] Remove unique attributes;

[0051] Handling missing values: Deleting features containing missing values ​​or filling in missing values;

[0052] Feature coding: Feature binarying and one-hot coding;

[0053] Data standardization and regularization;

[0054] Feature selection: Selecting a subset of relevant features from a given set of features.

[0055] The process of analyzing the extracted information using the data analysis module 300 includes:

[0056] Extract the feature values ​​of relevant data information and collaboratively allocate the feature values;

[0057] Construct a fault analysis model and an equipment maintenance analysis model. Train and test the analysis model based on data from the historical database. When the test accuracy meets the preset standard, the trained analysis model is obtained.

[0058] The collaboratively assigned feature values ​​are input into different trained analysis models, and the analysis results are output.

[0059] The feature extraction process includes:

[0060] The covariance matrix of the samples is constructed based on the preprocessed relevant data information, and its calculation formula is as follows:

[0061]

[0062] Where m represents the total number of data points, θ i θ j Let i and j represent the mean values ​​of the eigenvalues ​​i and j, respectively.

[0063] Calculate the eigenvalues ​​and corresponding eigenvectors of the covariance matrix, and select the eigenvectors corresponding to the j largest values, where j ≤ z;

[0064] Construct a mapping matrix P using the first j eigenvectors;

[0065] The original j-dimensional data is transformed into a j-dimensional feature subspace by mapping matrix P.

[0066] Furthermore, collaborative strategies for collaboratively allocating eigenvalues ​​include:

[0067] A data allocation model is built based on deep neural networks;

[0068] The data allocation model is used to extract the data information that needs to be analyzed and processed from the preprocessed relevant data information;

[0069] Determine the connection between the extracted data and each analysis model to quickly obtain the analysis model corresponding to the relevant data.

[0070] Furthermore, the construction of the fault analysis model includes:

[0071]

[0072] Q(t) = 1 - e -λt

[0073] ω t =λ(1-Q(t))

[0074] Where Q(t) represents the unavailability degree, ω t Let λ represent the failure frequency, λ represent the failure rate, ΔD(t) represent the output value, t represent time, and m represent the number of data samples.

[0075] When the output value ΔD(t)∈(0,1), it indicates that a fault has occurred.

[0076] The construction of the equipment maintenance analysis model includes:

[0077] The Euclidean distance strategy is used to quantify the similarity between the original data and the data in the database:

[0078]

[0079]

[0080] Where c represents the condition that 0 ≤ R ij A constant R ≤ 1 ij The output value represents the similarity score, y. ik Represents the feature values ​​of the original data, y jk This represents the characteristic values ​​of data in the database.

[0081] S3: The analysis results are uploaded to the human-computer interaction interface 400 via the 5G network 200 for visualization, realizing the maintenance management of open-pit mines.

[0082] It should be noted that the content displayed by the human-computer interaction interface 400 based on the analysis results includes fault reports, refueling requests, and overhaul reminders.

[0083] The technical effects of the method are verified and explained. Different methods selected in this embodiment are compared with the method of this embodiment. The test results are compared by means of scientific demonstration to verify the real effect of the method.

[0084] Traditional technical solutions: Currently, the level of automation in the maintenance and management of open-pit mines in my country is low, and the efficiency of data exchange is also low. To verify that the proposed method has a higher level of automation than traditional methods, this embodiment will use both traditional and proposed methods to conduct real-time measurements and comparisons of the level of intelligence and efficiency of maintenance in a simulated open-pit mine.

[0085] Test Environment: Development Environment: RealView MDK-ARMuVision4.10; C Compiler: ARMCC; ASM Compiler: ARMASM; Connected Machine: ARMLINK; Real-time Kernel: UC / OS-II 2.9 Real-time Operating System; GUI Kernel: uC / GUI 3.9 Graphical User Interface; Low-level Drivers: Drivers for various peripherals; Vertical Sensitivity: 5V, 1V; Horizontal Time Base Range: 500ms, 200ms; Input Impedance: ≥1MΩ; Maximum Input Voltage: 30Vpp; Coupling Method: AC / DC. Simulation tests of both methods were performed using both traditional and this method, with automated testing equipment activated and MATLAB software programmed. Simulation data was obtained based on the experimental results, as shown in the table below.

[0086] Table 1: Comparison of experimental results.

[0087]

[0088]

[0089] As can be seen from the table above, the method of the present invention is more efficient than the traditional method while ensuring the accuracy of the data, which demonstrates the effectiveness of the method of the present invention.

[0090] Example 2

[0091] Reference Figures 2-3 In another embodiment of the present invention, which differs from the first embodiment, a 5G network-based open-pit mine maintenance management system is provided, and the above-mentioned 5G network-based open-pit mine maintenance management method can be implemented based on this system.

[0092] Specifically, the system includes:

[0093] The data acquisition module is used to collect relevant data information from mining equipment in real time.

[0094] The data analysis module connects to the data acquisition module via a 5G network to analyze and process relevant data information.

[0095] The human-computer interaction interface is connected to the data analysis module via a 5G network to visualize the analysis and processing results.

[0096] It should be recognized that embodiments of the present invention can be implemented or carried out by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable storage medium. The method can be implemented using standard programming techniques—including a non-transitory computer-readable storage medium configured with a computer program, wherein such a storage medium causes the computer to operate in a specific and predefined manner—according to the methods and drawings described in the specific embodiments. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if desired, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. Furthermore, for this purpose, the program can run on a programmed application-specific integrated circuit (ASIC).

[0097] Furthermore, the procedures described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by the context. The procedures described herein (or variations and / or combinations thereof) may be executed under the control of one or more computer systems configured with executable instructions, and may be implemented by hardware or a combination thereof as code (e.g., executable instructions, one or more computer programs, or one or more applications) that commonly executes on one or more processors. The computer program comprises a plurality of instructions executable by one or more processors.

[0098] Furthermore, the method can be implemented in any suitable type of computing platform, including but not limited to personal computers, minicomputers, mainframes, workstations, networked or distributed computing environments, standalone or integrated computer platforms, or in communication with charged particle tools or other imaging devices, etc. Aspects of the invention can be implemented as machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and / or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the processes described herein. Furthermore, the machine-readable code, or portions thereof, can be transmitted via wired or wireless networks. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media comprises instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. When programmed according to the methods and techniques described herein, the invention also includes the computer itself. A computer program can be applied to input data to perform the functions described herein, thereby transforming the input data to generate output data stored in non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the invention, the converted data represents physical and tangible objects, including specific visual depictions of physical and tangible objects generated on a display.

[0099] As used herein, the terms “component,” “module,” “system,” etc., are intended to refer to a computer-related entity, which may be hardware, firmware, a combination of hardware and software, software, or running software. For example, a component may be, but is not limited to, a process running on a processor, a processor, an object, an executable file, a running thread, a program, and / or a computer. As an example, an application running on a computing device and the computing device itself can both be components. One or more components may reside in a running process and / or thread, and components may be located in a single computer and / or distributed among two or more computers. Furthermore, these components are capable of execution from various computer-readable media having various data structures thereon. These components may communicate locally and / or remotely via signals, such as based on one or more data packets (e.g., data from a component that interacts with a local system, another component in a distributed system, and / or signals that interact with other systems via a network such as the Internet).

[0100] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for maintenance management in open-pit mines based on 5G networks, characterized in that, include: The data acquisition module (100) is used to collect relevant data information of mining equipment in real time; The preprocessed relevant data information is uploaded to the data analysis module (300) via the 5G network (200), and the extracted information is analyzed by the data analysis module (300) to output the analysis results; The analysis results are uploaded to the human-computer interaction interface (400) via the 5G network (200) for visualization, thereby realizing the maintenance management of the open-pit mine; The relevant data information of the mining equipment includes relevant data information obtained in real time based on the set measuring points; Preprocessing the relevant data information includes, Remove unique attributes; Handling missing values: Deleting features containing missing values ​​or filling in missing values; Feature encoding Feature binarying and one-hot encoding; Data standardization and regularization; Feature selection: Selecting a relevant subset of features from a given set of features; The process of analyzing the extracted information using the data analysis module (300) includes, Extract the feature values ​​of the relevant data information and perform collaborative allocation of the feature values; A fault analysis model and an equipment maintenance analysis model are constructed. The analysis models are trained and tested based on data from a historical database. When the test accuracy meets the preset standard, the trained analysis model is obtained. The collaboratively assigned feature values ​​are input into different trained analysis models, and the analysis results are output. The feature value extraction process includes, The covariance matrix of the samples is constructed based on the preprocessed relevant data information, and its calculation formula is as follows: in, Indicates the total number of data items. , They represent the eigenvalues ​​respectively. The mean; Calculate the eigenvalues ​​and corresponding eigenvectors of the covariance matrix, and select the first... The eigenvectors corresponding to the maxima, where... ; Before A mapping matrix P is constructed from eigenvectors; Through the mapping matrix P, Transform the original data of the dimension into dimensional feature subspace; The construction of the fault analysis model includes, in, Indicates unavailability. Indicates the failure frequency. Indicates failure rate. Indicates the output value. Indicates time, Indicates the number of data samples; When the output value When this time, it indicates that a malfunction has occurred; The construction of the equipment maintenance analysis model includes, The Euclidean distance strategy is used to quantify the similarity between the original data and the data in the database: in, Indicates that can make A constant, This represents the similarity output value. Represents the feature values ​​of the original data. This represents the characteristic values ​​of data in the database.

2. The open-pit mine maintenance management method based on 5G network as described in claim 1, characterized in that: The collaborative strategies for collaboratively allocating the aforementioned feature values ​​include, A data allocation model is built based on deep neural networks; The data allocation model is used to extract data information that needs to be analyzed and processed from the preprocessed relevant data information. The connection between the extracted data and each analysis model is determined, thereby quickly obtaining the analysis model corresponding to the relevant data.

3. The open-pit mine maintenance management method based on 5G network as described in claim 1, characterized in that: The human-computer interaction interface (400) displays the following content based on the analysis results: fault report, refueling request, and overhaul reminder.

4. A 5G network-based open-pit mine maintenance management system, employing the 5G network-based open-pit mine maintenance management method as described in any one of claims 1 to 3, characterized in that, include: The data acquisition module (100) is used to collect relevant data information of mining equipment in real time; The data analysis module (300) is connected to the data acquisition module (100) via a 5G network (200) and is used to analyze and process the relevant data information; The human-computer interaction interface (400) is connected to the data analysis module (300) through the 5G network (200) and is used to visualize the analysis and processing results.

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