Comprehensive control system for mining production data

Abstract

The invention provides a mining industry production data comprehensive control system which comprises a data management module, a report storage module, a production index module, a financial index module, an energy index module, a cost index module and a safety and environmental protection module. The report storage module stores various report templates, so that the production index module, the financial index module, the energy index module, the cost index module and the security and environmental protection module can call data in the data management module, and the report templates are used to generate corresponding reports, thereby constructing a unified data management control system. Data intercommunication and information sharing among production, finance, energy, cost, environmental protection and other systems are realized, the integration level of the system is improved, the management process is simplified, and the enterprise management efficiency is improved, so that the accuracy of enterprise decision making is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a comprehensive control system for mining production data. Background Art

[0002] For mining companies, it involves not only the management of corporate operations, but also the management of corporate production. Corporate management is difficult. With the development of automated office, in order to improve corporate management efficiency, various departments have introduced different office systems, such as production management systems, financial systems, energy monitoring systems, environmental monitoring equipment, etc.

[0003] However, each department's system operates independently, causing enterprise data to be scattered across different departments and systems, forming data silos and information fragmentation. It is difficult for systems to achieve data interoperability and collaborative work, making it difficult to comprehensively monitor the company's production and operations, affecting the accuracy of decision-making. Summary of the Invention

[0004] The present application provides a comprehensive control system for mining production data to solve the technical problems mentioned in the background technology.

[0005] This application provides a comprehensive control system for mining production data, including:

[0006] A data management module is used to acquire and store mining data and operational data. The mining data includes: the amount of each mineral type mined, mining equipment operating data, noise data, smoke and dust data, water quality, water quantity, and power consumption. The operational data includes: asset and liability data, cash flow, profit, taxes, costs, material costs, water and electricity costs, and R&D expenses.

[0007] The report storage module is used to store report templates in various formats;

[0008] A production indicator module, configured to call a report template in the report storage module according to the mining data and the operation data to obtain a corresponding production indicator report;

[0009] A financial indicator module, configured to call a report template in the report storage module according to the operating data to obtain a financial report;

[0010] An energy indicator module, configured to call a report template in the report storage module based on the mining data and the operation data to obtain an energy consumption table including energy consumption of multiple departments;

[0011] A cost indicator module, configured to call a report template in the report storage module according to the operation data to obtain a production cost table of the production costs of the multiple departments;

[0012] The safety and environmental protection module is used to call the report template in the report storage module according to the mining data to obtain various safety and environmental protection monitoring tables.

[0013] Optionally, the data management module includes: a data acquisition unit, a data preprocessing unit, a data storage unit and a data query unit;

[0014] The data acquisition unit is used to collect mining raw data and operation raw data in real time through various sensors and data acquisition equipment during the mining process, and send the mining raw data and operation raw data to the data preprocessing unit;

[0015] The data preprocessing unit is used to perform data cleaning and format conversion on the original mining data and the original operation data to obtain the mining data and the operation data with consistent data format and dimension;

[0016] The data storage unit is used to store the mining data and the operation data;

[0017] The data query unit is used to build a distributed analysis cluster using the Doris+MPP architecture, and to retrieve the mining data and the operation data stored in the data preprocessing unit based on the CBO optimizer.

[0018] Optionally, the data acquisition unit includes: an acquisition subunit and a transmission subunit;

[0019] The acquisition subunit is used to collect real-time mining data through various sensors and data acquisition equipment;

[0020] The transmission subunit is used to perform data parsing and data encoding on the real-time mining data based on the industrial Internet of Things protocol, obtain the original mining data, and send the original mining data to the data preprocessing unit, wherein the industrial Internet of Things protocol includes: Modbus, OPC UA, and MQTT.

[0021] Optionally, the report storage module is further used to store report elements of the customized design report, and obtain a customized report template through the report elements according to user needs.

[0022] Optionally, the production indicator module is also used to input the mining volume of each mineral type into the data management module.

[0023] Optionally, the financial indicator module is further used to input the asset and liability data, the cash flow, the profit, the taxes and fees, and the cost into the data management module.

[0024] Optionally, the energy indicator module is also used to input the power consumption and water supply into the data management module.

[0025] Optionally, the cost indicator module is also used to input the material costs, water and electricity costs, and R&D costs into the data management module.

[0026] Optionally, it further includes: a rights management module, which is used to obtain the user's data retrieval rights based on the user's identity identification, and retrieve the data of the data management module based on the data retrieval rights.

[0027] Optionally, it also includes: a user operation saving module, which is used to obtain and save the user's operations in the mining production data integrated control system to trace the user's operations.

[0028] The mining production data comprehensive control system provided by the present application simultaneously sets a data management module, a report storage module, a production indicator module, a financial indicator module, an energy indicator module, a cost indicator module and a safety and environmental protection module in the mining production data comprehensive control system. The mining data and operation data of the mining enterprise are obtained and stored through the data management module, and the report storage module stores various report templates, so that the production indicator module, the financial indicator module, the energy indicator module, the cost indicator module and the safety and environmental protection module can call the data in the data management module and use the report template to generate corresponding reports, thereby building a unified data management and control system, realizing data intercommunication and information sharing between production, finance, energy, cost, environmental protection and other systems, improving the system integration, simplifying the management process, improving the enterprise management efficiency, and thus improving the accuracy of enterprise decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0030] Figure 1 A schematic diagram of the structure of a mining production data integrated control system provided in one embodiment of the present application;

[0031] Figure 2 A schematic diagram of a report interface corresponding to a production indicator module provided in an embodiment of the present application;

[0032] Figure 3 A schematic diagram of the report interface corresponding to the financial indicator module provided in one embodiment of the present application;

[0033] Figure 4 A schematic diagram of a report interface corresponding to the energy indicator module provided in one embodiment of the present application;

[0034] Figure 5 A schematic diagram of a report interface corresponding to the cost indicator module provided in one embodiment of the present application;

[0035] Figure 6 A schematic diagram of the report interface corresponding to the safety and environmental protection module provided in one embodiment of the present application;

[0036] Figure 7 A schematic diagram of the structure of a data management module provided in one embodiment of the present application;

[0037] Figure 8 A schematic structural diagram of a mining production data integrated control system provided in another embodiment of the present application. DETAILED DESCRIPTION

[0038] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application are clearly and completely described below. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts also fall within the scope of protection of this application.

[0039] Figure 1 This is a schematic diagram of the structure of the mining production data integrated control system provided in one embodiment of the present application. Figure 1 As shown, the mining production data integrated control system 100 includes:

[0040] Data management module 110 is used to acquire and store mining data and operation data. Mining data includes: production of various minerals, mining equipment operation data, noise data, smoke and dust data, water quality, water quantity, and power consumption. Operation data includes: asset and liability data, cash flow, profit, taxes, costs, material costs, water and electricity costs, and R&D expenses.

[0041] Report storage module 120, used to store report templates in various formats;

[0042] The production indicator module 130 is used to call the report template in the report storage module 120 according to the mining data and operation data to obtain the corresponding production indicator report;

[0043] The financial indicator module 140 is used to call the report template in the report storage module 120 according to the operating data to obtain the financial report;

[0044] The energy indicator module 150 is used to call the report template in the report storage module 120 according to the mining data and the operation data to obtain the energy consumption table including the energy consumption of multiple departments;

[0045] The cost indicator module 160 is used to call the report template in the report storage module 120 according to the operation data to obtain the production cost table of the production costs of multiple departments;

[0046] The safety and environmental protection module 170 is used to call the report template in the report storage module 120 according to the mining data to obtain various safety and environmental protection monitoring tables.

[0047] In this embodiment, the data management module 110 is used to obtain and store mining data and operation data, wherein the mining data is data related to the mining of ore, including but not limited to: the mining volume of each type of mineral, mining equipment operation data, noise data, smoke data, water quality, water volume, and power consumption. In this embodiment, the mineral types are illustrated by taking copper ore and molybdenum ore as examples.

[0048] Operational data includes but is not limited to: asset and liability data, cash flow, profit, taxes, costs, material costs, water and electricity costs, and R&D expenses.

[0049] It should be noted that the mining data and operation data can be obtained by receiving data input by the user through the corresponding module of the mining production data integrated control system 100, or data collected by data acquisition equipment, or data obtained by the mining production data integrated control system 100 through calculation. This embodiment does not limit the source of data.

[0050] The report storage module 120 stores report templates in various formats, for example, report templates containing only tables, report templates containing tables and statistical charts (for example, line charts, pie charts, bar charts), for calling by various modules.

[0051] Optionally, the report storage module 120 is further configured to store report elements of a customized report design, and obtain a customized report template through the report elements according to user requirements.

[0052] The report storage module 120 can store report templates in a fixed format. In addition, the report storage module 120 stores report elements for designing reports, such as patterns, various icons, tables, etc. Users can use the stored report elements to design report templates according to their report requirements to achieve customized report requirements and better display various data.

[0053] The user performs statistical analysis on the mining data and operation data through the production indicator module 130. Specifically, the production indicator module 130 can generate statistical reports, where the statistical reports include: annual production statistical data overview report, monthly production overview report, copper and molybdenum output trend report, production operation parameter report, production data report, and equipment operation rate analysis report.

[0054] When the user needs to obtain one of the statistical reports, the user performs corresponding operations on the operation interface of the mining production data integrated control system 100, thereby calling the corresponding report template in the report storage module 120 and obtaining the report according to the corresponding mining data and operation data.

[0055] Optionally, the production indicator module is further configured to input the mining volume of each mineral type into the data management module 110. The mining volume of each mineral type can be directly collected by data acquisition equipment, or can be input by a user into the mining production data integrated control system 100 through the production indicator module 130 and stored in the data management module 110.

[0056] Among them, such as Figure 2 As shown, the operation interface of the mining production data integrated control system 100 displays a monthly comparison table of copper and molybdenum production. Figure 2 In the figure, the monthly production comparison table is in the form of a line chart, and it can also be in the form of a bar chart.

[0057] The financial indicator module 140 is used to call the report template in the report storage module 120 according to the operating data to obtain financial reports, wherein the financial reports include: balance sheet, cash flow statement, income statement, main business report, inventory report and other indicator reports.

[0058] Among them, when the user needs to generate one of the reports, the report generation operation is performed through the corresponding operation interface of the mining production data integrated control system 100. The financial indicator module 140 obtains the corresponding operating data in the data management module 110 according to the user's operation, and calls the corresponding report template of the report storage module 120, thereby generating the target financial report.

[0059] Optionally, compared to traditional financial systems, the financial indicator module 140 of this embodiment also has functions for analyzing indicators such as a five-percent interest rate, dividend trend statistics, distribution statistics of taxes payable, and main product costs, thereby expanding the functions of the financial indicator module 140 and facilitating a more comprehensive display of the company's financial information.

[0060] Optionally, the financial indicator module 140 is further configured to input asset and liability data, cash flow, profit, tax, and cost to the data management module 110 to generate corresponding reports, and Figure 3The data shown in, for example, the budget for this year.

[0061] Among them, such as Figure 3 As shown, multiple financial statements can be displayed simultaneously on the corresponding operation interface of the mining production data integrated control system 100. Optionally, the system also implements a comparison between the budget and actual costs for the comprehensive cost per ton of ore, the cost per ton of copper, and the cost per ton of molybdenum, and displays them in the form of a report.

[0062] Mining companies consume large amounts of electricity and water resources during mineral extraction and environmental protection. Therefore, statistics on electricity and water consumption across various processes and departments are needed to timely understand the distribution of electricity and water consumption, facilitate the formulation of electricity and water use plans, and conserve electricity and water resources. This embodiment uses the energy indicator module 150 to obtain an energy consumption table that includes energy consumption for multiple departments.

[0063] Specifically, the user controls the energy indicator module 150 to obtain mining data and operation data through the corresponding operation interface of the mining production data integrated control system 100, and calls the corresponding report template in the report storage module 120 to obtain the following: Figure 4 The energy consumption table is shown in Figure 1. Figure 4 The energy consumption table shown is only one type of energy consumption table. Energy consumption tables in different formats can be obtained according to user needs.

[0064] Optionally, the energy indicator module 150 is further configured to input power consumption, water supply, and Figure 4 The data shown in the table include water-using departments, number of vehicles, and tonnage per vehicle.

[0065] In order to reduce enterprise costs, it is necessary to timely understand the costs of each department in daily work and reduce unnecessary costs. Therefore, this embodiment obtains the production cost table of the department's production costs through the cost indicator module 160, such as Figure 5 As shown in the figure, the production cost table can clearly show the detailed list of expenditure costs of each department.

[0066] Specifically, the user controls the cost indicator module 160 through the corresponding operation interface of the mining production data integrated control system 100 to obtain operation data, and retrieves the corresponding report template in the report storage module 120 to obtain a production cost table.

[0067] Optionally, the cost indicator module 160 is also used to input material costs, utility costs, and R&D costs into the data management module 110 .

[0068] The safety and environmental protection module 170 is used to monitor noise, smoke, water quality, etc. In this embodiment, the user controls the safety and environmental protection module 170 to obtain mining data, calls the report template in the report storage module 120, and obtains the corresponding safety and environmental protection monitoring table for noise, smoke, water quality, etc. Figure 5 As shown, the water quality detection and analysis table corresponding to one of the water quality sampling points is shown.

[0069] In this embodiment, corresponding mining data and operation data are input into the mining production data integrated control system 100 through the production indicator module 130, the financial indicator module 140, the energy indicator module 150, the cost indicator module 160 and the safety and environmental protection module 170. This not only enriches the data volume and data type in the mining production data integrated control system 100, facilitating the calling of each module, but also the data obtained through the operation of each module can also be called by other modules. For example, the cost data obtained by the cost indicator module 160 can be called by the financial indicator module 140, and the electricity consumption and water consumption in the energy indicator module 150 can be called by the cost indicator module 160, thereby realizing data sharing between modules.

[0070] In this embodiment, a data management module 110, a report storage module 120, a production index module 130, a financial index module 140, an energy index module 150, a cost index module 160 and a safety and environmental protection module 170 are simultaneously provided in the mining production data integrated control system 100. The mining data and operation data of the mining enterprise are acquired and stored through the data management module 110, and the report storage module 120 stores various report templates, so that the production index module 130, the financial index module 140, the energy index module 150, the cost index module 160 and the safety and environmental protection module 170 can call the data in the data management module 110 and generate corresponding reports using the report templates, thereby constructing a unified data management and control system, realizing data intercommunication and information sharing between production, finance, energy, cost, environmental protection and other systems, improving the integration of the mining production data integrated control system 100, simplifying the management process, improving the enterprise management efficiency, and thus improving the accuracy of enterprise decision-making.

[0071] Optional, such as Figure 7 As shown, the data management module 110 includes: a data acquisition unit 111, a data pre-processing unit 112, a data storage unit 113 and a data query unit 114;

[0072] The data acquisition unit 111 is used to collect mining raw data and operation raw data in real time through various sensors and data acquisition equipment during the mining process, and send the mining raw data and operation raw data to the data preprocessing unit 112;

[0073] The data preprocessing unit 112 is used to clean and convert the original mining data and the original operation data to obtain mining data and operation data with consistent data format and dimension;

[0074] Data storage unit 113, used to store mining data and operation data;

[0075] The data query unit 114 is used to build a distributed analysis cluster using the Doris+MPP architecture and retrieve the mining data and operation data stored in the data preprocessing unit 112 based on the CBO optimizer.

[0076] In this embodiment, the mining data that can be easily collected directly by data acquisition equipment can be collected and obtained through various sensors and other data acquisition equipment, such as mining equipment operation data, noise data, smoke data, water volume, and power consumption.

[0077] The mining equipment operation data includes, for example, pressure, water level, temperature, angle, etc., which can be obtained through corresponding sensor detection.

[0078] Noise data and smoke data can be obtained through noise detectors and smoke detectors respectively.

[0079] The amount of water and electricity consumption can be obtained through water meters and electricity meters respectively.

[0080] The original operating data can be the data uploaded by the user through the corresponding module in the mining production data integrated control system 100, or it can be the data obtained by the calculation of each module. For example, the cost can be obtained through the cost indicator module 160. After being saved in the data management module 110, the financial indicator module 140 can obtain the cost data from the data management module 110 when generating the main product cost statistical report.

[0081] After obtaining the mining raw data and the operating raw data in the above manner, the data acquisition unit 111 sends the mining raw data and the operating raw data to the data preprocessing unit 112 .

[0082] Raw mining data and raw operational data contain a wide variety of data types and are not uniformly formatted. For example, data obtained by sensors is generally electrical signals that need to be converted into corresponding numerical values. Therefore, data preprocessing unit 112 requires data preprocessing of the raw mining data and raw operational data. This preprocessing includes data cleaning, format conversion, and dimensionality unification. Data cleaning is used to remove data with obvious anomalies, such as deleting consecutive duplicate data. Format conversion is used to convert electrical signals or other non-numeric data into numerical data. Dimensional unification facilitates the processing of data relationships and operations between data. Data preprocessing unit 112 generates mining data and operational data that can be directly accessed by production indicator module 130, financial indicator module 140, energy indicator module 150, cost indicator module 160, and safety and environmental protection module 170. Optionally, edge computing nodes can be deployed to perform anomaly detection and feature extraction on time series data within the equipment mining data, reducing data volume. Data compression rates can reach over 85%.

[0083] After obtaining the mining data and operation data, the data pre-processing unit 112 transmits them to the data storage unit 113 for storage so as to be called by subsequent modules.

[0084] The data query unit 114 uses the Doris+MPP architecture to build a distributed analysis cluster, realizing distributed storage of mining data and operation data, facilitating data retrieval and preventing data loss. Furthermore, when each module calls data, each module calls data from the data storage unit 113 through the data query unit 114. When calling data, the data query unit 114 uses a CBO optimizer-based approach to retrieve the mining data and operation data stored in the data preprocessing unit 112, improving data call efficiency, preventing data loss during the call process, and improving the accuracy of the data called by each module.

[0085] Optionally, the mining production data integrated control system 100 supports over 2,000 concurrent real-time queries and sub-second responses for OLAP cubes with drill-down capabilities. The Geo-OLAP module integrates GIS spatial analysis algorithms, enabling real-time calculation of equipment distribution heat maps and transportation route optimization plans within the mining area.

[0086] This embodiment employs a full-stack intelligent data management approach for data management module 110, employing the Doris+MPP architecture to build a distributed analysis cluster. Based on the CBO optimizer, it accesses mining and operational data stored in data preprocessing unit 112. This allows for efficient integration of mining enterprises' massive data resources and provides powerful statistical capabilities. Through the data mining and statistical analysis capabilities of the mining production data integrated control system 100, enterprises can deeply explore the potential value of data, obtain key operational indicators and trends, and thus support decision-making and business optimization.

[0087] Optionally, the data acquisition unit 111 includes: an acquisition subunit and a transmission subunit;

[0088] A collection subunit, which is used to collect real-time mining data through a variety of sensors and data acquisition devices;

[0089] The transmission subunit is used to perform data analysis and data encoding on the real-time mining data based on the industrial Internet of Things protocol, obtain the original mining data, and send the original mining data to the data preprocessing unit 112, wherein the industrial Internet of Things protocol includes: Modbus, OPC UA, and MQTT.

[0090] In this embodiment, the acquisition subunit includes various sensors or other data acquisition devices for acquiring real-time mining data during the mining process, wherein the real-time mining data is data directly collected by the acquisition subunit.

[0091] Since various sensors and other data acquisition devices are generally set up at the acquisition site, it is necessary to transmit the real-time mining data to the data preprocessing unit 112. The transmission of the real-time mining data can be achieved through the transmission subunit.

[0092] Specifically, the transmission subunit parses and encodes the real-time mining data based on the Industrial Internet of Things protocol to obtain the original mining data and sends the original mining data to the data preprocessing unit 112. The Industrial Internet of Things protocols include Modbus, OPC UA, and MQTT, which enable efficient data transmission.

[0093] Figure 8 A schematic diagram of the structure of a mining production data integrated control system provided in another embodiment of the present application is shown as follows: Figure 8 As shown, the mining production data integrated control system 100 further includes: an authority management module 180 for obtaining the user's data retrieval authority according to the user's identity identification, and retrieving data from the data management module 110 according to the data retrieval authority.

[0094] In this embodiment, for an enterprise, data is a business secret of the enterprise, and therefore, the data needs to be protected. In this embodiment, the authority management module 180 is set to display corresponding functions to the user according to the user's identity.

[0095] The user's identity identifier can be the user's work number. Different work numbers have different permissions to retrieve data. Therefore, when the user logs in to the mining production data integrated control system 100, after logging in through the work number, the system displays the functions corresponding to the user's permissions. For example, for financial personnel, the financial indicator module 140 is displayed, and correspondingly, the data that can be called is the data related to finance, such as profit, assets and liabilities, and cash flow; for personnel in the production department, the production indicator module 130 is displayed, and correspondingly, the data that can be called is the mining volume of each type of mineral.

[0096] By setting up the permission management module 180, the system has a strict identity authentication and permission control mechanism to ensure that only authorized personnel can access sensitive data and functions.

[0097] Optionally, the mining production data integrated control system 100 also builds a disaster recovery machine to ensure data backup and provides multi-copy data recovery function to ensure data security and reliability.

[0098] Optional, such as Figure 8 As shown, the mining production data integrated control system 100 further includes: a user operation saving module 190 for acquiring and saving the user's operations in the mining production data integrated control system 100 to trace the user's operations.

[0099] In this embodiment, when the user operates in the mining production data integrated control system 100, the user operation saving module 190 will not only respond to the user's operation and enable the system to perform the corresponding function, but also save the user's operation process so as to trace the user's operation and ensure data security.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A comprehensive control system for mining production data, characterized in that: include: A data management module is used to acquire and store mining data and operational data. The mining data includes: the amount of each mineral type mined, mining equipment operating data, noise data, smoke and dust data, water quality, water quantity, and power consumption. The operational data includes: asset and liability data, cash flow, profit, taxes, costs, material costs, water and electricity costs, and R&D expenses. The report storage module is used to store report templates in various formats; A production indicator module, configured to call a report template in the report storage module according to the mining data and the operation data to obtain a corresponding production indicator report; A financial indicator module, configured to call a report template in the report storage module according to the operating data to obtain a financial report; An energy indicator module, configured to call a report template in the report storage module based on the mining data and the operation data to obtain an energy consumption table including energy consumption of multiple departments; A cost indicator module, configured to call a report template in the report storage module according to the operation data to obtain a production cost table of the production costs of the multiple departments; The safety and environmental protection module is used to call the report template in the report storage module according to the mining data to obtain various safety and environmental protection monitoring tables.

2. The system according to claim 1, wherein: The data management module includes: a data acquisition unit, a data preprocessing unit, a data storage unit and a data query unit; The data acquisition unit is used to collect mining raw data and operation raw data in real time through various sensors and data acquisition equipment during the mining process, and send the mining raw data and operation raw data to the data preprocessing unit; The data preprocessing unit is used to clean and convert the raw mining data and the raw operation data to obtain the mining data and the operation data with consistent data format and dimension; the data storage unit is used to store the mining data and the operation data; The data query unit is used to build a distributed analysis cluster using the Doris+MPP architecture, and to retrieve the mining data and the operation data stored in the data preprocessing unit based on the CBO optimizer.

3. The system according to claim 2, characterized in that The data acquisition unit includes: an acquisition subunit and a transmission subunit; The acquisition subunit is used to collect real-time mining data in real time through a variety of sensors and data acquisition equipment; the transmission subunit is used to perform data analysis and data encoding on the real-time mining data based on the industrial Internet of Things protocol, obtain the original mining data, and send the original mining data to the data preprocessing unit, wherein the industrial Internet of Things protocol includes: Modbus, OPC UA, and MQTT.

4. The system according to claim 1, wherein: The report storage module is further used to store report elements of customized design reports, and obtain customized report templates through the report elements according to user needs.

5. The system according to claim 1, wherein: The production indicator module is also used to input the mining volume of each mineral type into the data management module.

6. The system according to claim 1, wherein: The financial indicator module is further used to input the asset and liability data, the cash flow, the profit, the taxes and fees, and the cost into the data management module.

7. The system according to claim 1, wherein: The energy indicator module is further used to input the power consumption and water supply into the data management module.

8. The system according to claim 1, wherein: The cost indicator module is also used to input the material costs, water and electricity costs, and R&D costs into the data management module.

9. The system according to any one of claims 1 to 8, characterized in that: Also includes: The authority management module is used to obtain the user's data retrieval authority based on the user's identity identification, and retrieve the data of the data management module based on the data retrieval authority.

10. The system according to any one of claims 1 to 8, characterized in that: Also includes: The user operation saving module is used to obtain and save the user's operations in the mining production data integrated control system to trace the user's operations.

Images