Cloud service operation and maintenance management platform for intelligent mining area

Abstract

The invention discloses a cloud service operation and maintenance management platform for an intelligent mining area, and the platform comprises the steps: system carding and analysis: carrying out the comprehensive carding and analysis of an existing production management system, a safety monitoring system, a geological exploration system and an equipment management system of the mining area, determining the functions and characteristics of all systems, finding out the generality and difference, and laying a foundation for the subsequent integration; data integration and platform establishment: big data and cloud computing technologies are adopted, a unified data platform is established, data intercommunication and sharing among systems are realized, and a complete data resource pool is formed; the system has the beneficial effects that comprehensive integration and sharing of various information systems and data resources in the mining area are realized, and the data utilization efficiency is improved; real-time and comprehensive information support is provided for mining area managers, and scientificity and accuracy of decision making are improved; and through automatic and intelligent management, the production efficiency is improved, and the operation cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart mining areas, and specifically relates to a cloud service operation and maintenance management platform for smart mining areas. Background Art

[0002] A smart mine refers to a new type of mine that uses modern information technology, automation technology and intelligent equipment to comprehensively upgrade and optimize all aspects of the mine, including production, management, safety, and environmental protection. Its core lies in realizing the digitization, informatization, and intelligence of the mine to improve production efficiency, reduce operating costs, enhance safety assurance, and promote sustainable development.

[0003] Traditional mine management faces problems such as isolated information systems, difficulty in data sharing, and insufficient decision-making support, which seriously restrict the improvement of mine production efficiency and safety management level. With the rapid development of information technology, especially the widespread application of technologies such as big data, cloud computing, and the Internet of Things, it has provided possibilities for the intelligent transformation of mines. Therefore, it is particularly important to develop a platform that can comprehensively integrate various information systems and data resources in mines to achieve efficient operation and maintenance management. Summary of the invention

[0004] The purpose of this invention is to provide a cloud service operation and maintenance management platform for smart mines. By integrating various information systems and data resources in the mines, data interoperability and sharing can be achieved, providing real-time and comprehensive information support for mine managers, thereby improving mine production efficiency and safety management level.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: a cloud service operation and maintenance management platform for smart mining areas, including

[0006] System sorting and analysis: comprehensively sort out and analyze the existing production management system, safety monitoring system, geological exploration system, and equipment management system in the mining area, clarify the functions and characteristics of each system, find out the commonalities and differences, and lay the foundation for subsequent integration;

[0007] Data integration and platform construction: Use big data and cloud computing technologies to build a unified data platform to achieve data interoperability and sharing among systems and form a complete data resource pool;

[0008] Information management and analysis system: Establish a complete system for data cleaning, sorting, storage, analysis and mining, deeply explore the value of data, and provide decision-making support for mining area management;

[0009] Real-time monitoring and alarm: Use sensors and cameras to monitor the production status of the mining area in real time, use alarm rules to issue real-time alarms for abnormal equipment operation, and conduct statistical analysis;

[0010] Automation and intelligent management: Use the Internet of Things and automation technology to achieve automated control and optimization of the production process in the mining area;

[0011] Environmental and safety monitoring: Real-time monitoring of the internal environment and working conditions of the mine area to promptly detect and respond to potential safety risks and ensure personnel safety.

[0012] As a preferred technical solution of the present invention, a comprehensive review and analysis of the existing production management system, safety monitoring system, geological exploration system, and equipment management system in the mining area is conducted, and the corresponding method is as follows:

[0013] Collect information on production planning, production scheduling, production process control, production data statistics and analysis, and understand the system's functional modules, data flow, and user interface;

[0014] Collect information on safety monitoring, risk assessment, hidden danger investigation, and emergency response, and understand the system's monitoring scope, monitoring accuracy, and alarm mechanism;

[0015] Collect information on geological exploration data collection, processing, and analysis, and understand the system's exploration methods, exploration accuracy, and data processing capabilities;

[0016] Collect information on equipment records, equipment maintenance, equipment fault diagnosis, and equipment updates, and understand the system's equipment management process, maintenance plan, and fault diagnosis mechanism;

[0017] Conduct a detailed analysis of the functional modules of each system to understand the specific functions, input-output relationships, and mutual dependencies of each module, and summarize the characteristics of each system.

[0018] As a preferred technical solution of the present invention, the characteristics of each system are summarized, including the advantages, disadvantages, uniqueness and differences of the system from other systems.

[0019] As a preferred technical solution of the present invention, big data and cloud computing technologies are used to build a unified data platform. The corresponding method is as follows:

[0020] Choose a big data framework and data storage and query technology suitable for processing massive data; select a cloud computing service provider and decide whether to use a public cloud, private cloud or hybrid cloud model;

[0021] Design data processing flows for data collection, storage, processing, and analysis to ensure data consistency and integrity; build a unified data processing platform to provide data cleaning, conversion, and integration functions, and support the access and processing of multi-source heterogeneous data; develop data visualization, report generation, and data mining applications to provide business users with intuitive data presentation and in-depth data insights;

[0022] Comprehensively sort out the data of each system to understand the source, format, and quality of the data; formulate data standards;

[0023] Use ETL tools or custom scripts to extract data from various systems, clean, transform, and load them into a unified data platform; establish a data warehouse or data lake to store the integrated data to form a complete data resource pool;

[0024] Prepare corresponding hardware equipment and software systems according to the architecture design;

[0025] Build a big data processing environment on the cloud computing platform, configure the corresponding computing resources, storage resources and network resources; install and configure big data frameworks and tools; deploy the developed data platform system to the cloud computing platform, and perform system testing and optimization.

[0026] As a preferred technical solution of the present invention, formulating data standards includes data definition, data format, and data encoding.

[0027] As a preferred technical solution of the present invention, the hardware equipment includes a server, a storage device, and a network device; the software system includes an operating system, a database, and a big data framework.

[0028] As a preferred technical solution of the present invention, a complete system for data cleaning, sorting, storage, analysis and mining is established, including the following contents:

[0029] Conduct a comprehensive quality assessment of raw data, check the completeness, accuracy, consistency and uniqueness of the data, identify and repair errors, missing data and outliers in the data; remove duplicates in the data to ensure the uniqueness of the data; convert the data into a unified format and structure and implement data standardization; classify the data according to its type and purpose, establish a reasonable archiving system to ensure orderly storage and rapid retrieval of the data;

[0030] Compile a data dictionary to provide detailed descriptions of each field in the data set;

[0031] Create a centralized data storage system to centrally store and manage all cleaned and organized data; back up data regularly; establish a data recovery mechanism to ensure rapid recovery in the event of data loss or damage;

[0032] Use statistical methods and visualization tools to conduct preliminary exploration of data to understand the basic characteristics and patterns of data; discover trends, outliers, and correlation information in data; apply probability theory and statistical principles to conduct in-depth analysis of data; perform sampling, inference, and prediction operations to provide a scientific basis for decision-making; build data models to reveal the patterns and associations behind the data; use machine learning and statistical modeling methods to extract useful information and knowledge from big data;

[0033] Further preprocess the data to prepare high-quality data sets for data mining; select appropriate mining models and apply these models to discover hidden patterns and regularities from big data; evaluate and interpret the mining results to ensure the accuracy and interpretability of the results, and use evaluation indicators and visualization tools to improve the credibility of the mining results.

[0034] As a preferred technical solution of the present invention, each field in the data set is described in detail, including field name, data type, data length, and value range; and appropriate mining modes are selected, including classification, clustering, association rules, and prediction.

[0035] As a preferred technical solution of the present invention, the alarm rule includes alarm triggering conditions, alarm level classification, and alarm processing flow.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] It has realized the comprehensive integration and sharing of various information systems and data resources in the mining area, and improved the efficiency of data utilization;

[0038] Provides real-time and comprehensive information support for mine managers, improving the scientificity and accuracy of decision-making;

[0039] Through automation and intelligent management, production efficiency is improved and operating costs are reduced;

[0040] Strengthened safety monitoring and early warning capabilities to ensure safe production in mining areas;

[0041] It has promoted the awareness of natural resource and environmental protection in mining areas and achieved sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Example 1

[0045] See also Figure 1 , which is the first embodiment of the present invention, and provides a cloud service operation and maintenance management platform for smart mining areas, including

[0046] System sorting and analysis: comprehensively sort out and analyze the existing production management system, safety monitoring system, geological exploration system, and equipment management system in the mining area, clarify the functions and characteristics of each system, find out the commonalities and differences, and lay the foundation for subsequent integration;

[0047] Data integration and platform construction: Use big data and cloud computing technologies to build a unified data platform to achieve data interoperability and sharing among systems and form a complete data resource pool;

[0048] Information management and analysis system: Establish a complete system for data cleaning, sorting, storage, analysis and mining, deeply explore the value of data, and provide decision-making support for mining area management;

[0049] Real-time monitoring and alarm: Use sensors and cameras to monitor the production status of the mining area in real time, use alarm rules to issue real-time alarms for abnormal equipment operation, and conduct statistical analysis;

[0050] Automation and intelligent management: Use the Internet of Things and automation technology to achieve automated control and optimization of the production process in the mining area;

[0051] Environmental and safety monitoring: Real-time monitoring of the internal environment and working conditions of the mine area to promptly detect and respond to potential safety risks and ensure personnel safety.

[0052] In this embodiment, preferably, the existing production management system, safety monitoring system, geological exploration system, and equipment management system of the mining area are comprehensively sorted out and analyzed, and the corresponding methods are as follows:

[0053] Collect information on production planning, production scheduling, production process control, production data statistics and analysis, and understand the system's functional modules, data flow, and user interface;

[0054] Collect information on safety monitoring, risk assessment, hidden danger investigation, and emergency response, and understand the system's monitoring scope, monitoring accuracy, and alarm mechanism;

[0055] Collect information on geological exploration data collection, processing, and analysis, and understand the system's exploration methods, exploration accuracy, and data processing capabilities;

[0056] Collect information on equipment records, equipment maintenance, equipment fault diagnosis, and equipment updates, and understand the system's equipment management process, maintenance plan, and fault diagnosis mechanism;

[0057] Conduct a detailed analysis of the functional modules of each system to understand the specific functions, input-output relationships, and mutual dependencies of each module, and summarize the characteristics of each system, including the system's advantages, disadvantages, uniqueness, and differences from other systems.

[0058] In this embodiment, preferably, big data and cloud computing technologies are used to build a unified data platform, and the corresponding method is as follows:

[0059] Choose a big data framework and data storage and query technology suitable for processing massive data; select a cloud computing service provider and decide whether to use a public cloud, private cloud or hybrid cloud model;

[0060] Design data processing flows for data collection, storage, processing, and analysis to ensure data consistency and integrity; build a unified data processing platform to provide data cleaning, conversion, and integration functions, and support the access and processing of multi-source heterogeneous data; develop data visualization, report generation, and data mining applications to provide business users with intuitive data presentation and in-depth data insights;

[0061] Comprehensively sort out the data of each system to understand the source, format, and quality of the data; formulate data standards, including data definition, data format, and data coding;

[0062] Use ETL tools or custom scripts to extract data from various systems, clean, transform, and load them into a unified data platform; establish a data warehouse or data lake to store the integrated data to form a complete data resource pool;

[0063] Prepare corresponding hardware equipment and software systems according to the architecture design; hardware equipment includes servers, storage devices, and network equipment; software systems include operating systems, databases, and big data frameworks;

[0064] Build a big data processing environment on the cloud computing platform, configure the corresponding computing resources, storage resources and network resources; install and configure big data frameworks and tools; deploy the developed data platform system to the cloud computing platform, and perform system testing and optimization.

[0065] In this embodiment, preferably, a complete system for data cleaning, sorting, storage, analysis and mining is established, including the following contents:

[0066] Conduct a comprehensive quality assessment of raw data, check the completeness, accuracy, consistency and uniqueness of the data, identify and repair errors, missing data and outliers in the data; remove duplicates in the data to ensure the uniqueness of the data; convert the data into a unified format and structure and implement data standardization; classify the data according to its type and purpose, establish a reasonable archiving system to ensure orderly storage and rapid retrieval of the data;

[0067] Compile a data dictionary to provide detailed descriptions of each field in the data set, including field name, data type, data length, and value range;

[0068] Create a centralized data storage system to centrally store and manage all cleaned and organized data; back up data regularly; establish a data recovery mechanism to ensure rapid recovery in the event of data loss or damage;

[0069] Use statistical methods and visualization tools to conduct preliminary exploration of data to understand the basic characteristics and patterns of data; discover trends, outliers, and correlation information in data; apply probability theory and statistical principles to conduct in-depth analysis of data; perform sampling, inference, and prediction operations to provide a scientific basis for decision-making; build data models to reveal the patterns and associations behind the data; use machine learning and statistical modeling methods to extract useful information and knowledge from big data;

[0070] Further preprocess the data to prepare high-quality data sets for data mining; select appropriate mining models, including classification, clustering, association rules and prediction, and apply these models to discover hidden patterns and laws from big data; evaluate and interpret the mining results to ensure the accuracy and interpretability of the results, and use evaluation indicators and visualization tools to improve the credibility of the mining results.

[0071] Example 2

[0072] See also Figure 1 , which is the second embodiment of the present invention, is based on the previous embodiment, except that:

[0073] Alarm rules include alarm triggering conditions, alarm level classification, and alarm processing procedures;

[0074] Alarm levels include emergency alarm, important alarm, and general alarm;

[0075] Alarm processing flow:

[0076] When the alarm triggering conditions are met, the system automatically generates alarm information and notifies relevant personnel through sound and light alarms, text messages, emails, etc.

[0077] After receiving the alarm, relevant personnel must immediately confirm the alarm information to determine its authenticity and urgency;

[0078] After confirming the alarm, organize relevant personnel to conduct troubleshooting and repair according to the alarm level and type;

[0079] Conduct statistical analysis on alarm information to find out the patterns and causes of failures, and provide a basis for subsequent prevention and improvement.

[0080] Although the embodiments of the present invention have been shown and described, as detailed above, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Cloud service operation and maintenance management platform for smart mining areas, featuring: Including system sorting and analysis: comprehensively sort out and analyze the existing production management system, safety monitoring system, geological exploration system, and equipment management system in the mining area, clarify the functions and characteristics of each system, find out the commonalities and differences, and lay the foundation for subsequent integration; Data integration and platform construction: Use big data and cloud computing technologies to build a unified data platform to achieve data interoperability and sharing among systems and form a complete data resource pool; Information management and analysis system: Establish a complete system for data cleaning, sorting, storage, analysis and mining, deeply explore the value of data, and provide decision-making support for mining area management; Real-time monitoring and alarm: Use sensors and cameras to monitor the production status of the mining area in real time, use alarm rules to issue real-time alarms for abnormal equipment operation, and conduct statistical analysis; Automation and intelligent management: Use the Internet of Things and automation technology to achieve automated control and optimization of the production process in the mining area; Environmental and safety monitoring: Real-time monitoring of the internal environment and working conditions of the mine area to promptly detect and respond to potential safety risks and ensure personnel safety.

2. The cloud service operation and maintenance management platform for smart mines according to claim 1 is characterized by: A comprehensive review and analysis of the existing production management system, safety monitoring system, geological exploration system, and equipment management system in the mining area is conducted. The corresponding methods are as follows: Collect information on production planning, production scheduling, production process control, production data statistics and analysis, and understand the system's functional modules, data flow, and user interface; Collect information on safety monitoring, risk assessment, hidden danger investigation, and emergency response, and understand the system's monitoring scope, monitoring accuracy, and alarm mechanism; Collect information on geological exploration data collection, processing, and analysis, and understand the system's exploration methods, exploration accuracy, and data processing capabilities; Collect information on equipment records, equipment maintenance, equipment fault diagnosis, and equipment updates, and understand the system's equipment management process, maintenance plan, and fault diagnosis mechanism; Conduct a detailed analysis of the functional modules of each system to understand the specific functions, input-output relationships, and mutual dependencies of each module, and summarize the characteristics of each system.

3. The cloud service operation and maintenance management platform for smart mines according to claim 2 is characterized by: Summarize the characteristics of each system, including its strengths, weaknesses, uniqueness, and differences from other systems.

4. The cloud service operation and maintenance management platform for smart mines according to claim 1 is characterized by: Using big data and cloud computing technologies to build a unified data platform, the corresponding methods are as follows: Choose a big data framework and data storage and query technology suitable for processing massive data; select a cloud computing service provider and decide whether to use a public cloud, private cloud or hybrid cloud model; Design data processing procedures for data collection, storage, processing, and analysis to ensure data consistency and integrity; Build a unified data processing platform, provide data cleaning, conversion, and integration functions, and support the access and processing of multi-source heterogeneous data; Develop data visualization, report generation, and data mining applications to provide business users with intuitive data presentation and in-depth data insights; Comprehensively sort out the data of each system to understand the source, format, and quality of the data; formulate data standards; Use ETL tools or custom scripts to extract data from various systems, clean, transform, and load them into a unified data platform; establish a data warehouse or data lake to store the integrated data to form a complete data resource pool; Prepare corresponding hardware equipment and software systems according to the architecture design; Build a big data processing environment on the cloud computing platform, configure the corresponding computing resources, storage resources and network resources; install and configure big data frameworks and tools; deploy the developed data platform system to the cloud computing platform, and perform system testing and optimization.

5. The cloud service operation and maintenance management platform for smart mining areas according to claim 4 is characterized by: The establishment of data standards includes data definition, data format, and data encoding.

6. The cloud service operation and maintenance management platform for smart mining areas according to claim 4 is characterized by: The hardware equipment includes servers, storage devices, and network equipment; the software system includes operating systems, databases, and big data frameworks.

7. The cloud service operation and maintenance management platform for smart mines according to claim 1 is characterized by: Establish a complete system for data cleaning, organization, storage, analysis and mining, including the following: Conduct a comprehensive quality assessment of raw data, check the completeness, accuracy, consistency and uniqueness of the data, identify and repair errors, missing data and outliers in the data; remove duplicates in the data to ensure the uniqueness of the data; convert the data into a unified format and structure and implement data standardization; classify the data according to its type and purpose, establish a reasonable archiving system to ensure orderly storage and rapid retrieval of the data; Compile a data dictionary to provide detailed descriptions of each field in the data set; Create a centralized data storage system to centrally store and manage all cleaned and organized data; back up data regularly; Establish a data recovery mechanism to ensure rapid recovery in the event of data loss or damage; Use statistical methods and visualization tools to conduct preliminary exploration of data to understand the basic characteristics and patterns of data; discover trends, outliers, and correlation information in data; apply probability theory and statistical principles to conduct in-depth analysis of data; perform sampling, inference, and prediction operations to provide a scientific basis for decision-making; build data models to reveal the patterns and associations behind the data; use machine learning and statistical modeling methods to extract useful information and knowledge from big data; Further preprocess the data to prepare high-quality data sets for data mining; select appropriate mining models and apply them to discover hidden patterns and regularities from big data; Evaluate and interpret the mining results to ensure their accuracy and interpretability, and use evaluation metrics and visualization tools to improve the credibility of the mining results.

8. The cloud service operation and maintenance management platform for smart mining areas according to claim 7 is characterized by: Provide detailed description of each field in the data set, including field name, data type, data length, and value range; select appropriate mining modes including classification, clustering, association rules, and prediction.

9. The cloud service operation and maintenance management platform for smart mines according to claim 1 is characterized by: The alarm rules include alarm triggering conditions, alarm level classification, and alarm processing flow.

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