Mine energy consumption comprehensive management and control system

Abstract

This invention discloses a comprehensive energy consumption management and control system for mines, belonging to the field of energy management technology. The invention adopts a four-level system architecture consisting of a data acquisition layer, a data storage layer, a data display layer, and a security gateway layer. It integrates data acquisition, real-time calculation, real-time monitoring, data analysis, report generation, and upper-level platform integration for multiple energy types, including electricity, water, fuel oil, and coal. It incorporates complete calculation models and formulas for electricity metering, water metering, fuel oil / coal accounting, comprehensive energy consumption conversion, anomaly detection, time-period statistics, and reporting packaging. It utilizes 4G wireless transmission combined with the MQTT protocol to achieve efficient data transmission, covering all energy types through a complementary approach of automatic data collection by smart meters and manual reporting. This invention achieves systematic data collection, transparent display, and grid-based management of mine energy consumption, supporting the construction of a three-level energy management and control system, effectively assisting enterprises in reducing costs and increasing efficiency, and is suitable for complex energy consumption scenarios such as mines.

Description

Technical Field

[0001] This invention relates to the field of mine energy management technology, specifically a comprehensive mine energy consumption control system. Background Technology

[0002] Mining enterprises, as key energy-consuming units, consume diverse types of energy (including electricity, water, fuel oil, coal, etc.) and their energy consumption scenarios are dispersed (covering multiple areas such as production areas and office areas). Traditional energy consumption management methods have many drawbacks:

[0003] 1. The data collection methods are chaotic, with a disconnect between automatic collection and manual recording, resulting in insufficient data accuracy and real-time performance;

[0004] 2. The lack of a unified management and control platform results in energy consumption data being stored in a scattered manner, making it difficult to achieve systematic analysis and global monitoring;

[0005] 3. Communication transmission methods are limited by the complex environment of the mine, resulting in high costs and difficult maintenance of wired transmission;

[0006] 4. The connection with the energy consumption management and control systems of the government, group and other superior units is not standardized, and the data upload format and frequency do not meet the standard requirements, which cannot meet the needs of the three-level energy management and control.

[0007] The aforementioned problems make it difficult for mining companies to accurately grasp the energy consumption of production, thus hindering the achievement of their cost reduction and efficiency improvement goals. Summary of the Invention

[0008] The purpose of this invention is to provide a comprehensive energy consumption management and control system for mines, which enables unified collection, storage, monitoring, analysis, calculation, and compliant reporting of various types of energy data, thereby addressing the shortcomings of existing technologies.

[0009] To achieve the above objectives, the present invention provides the following technical solution:

[0010] A comprehensive energy consumption management and control system for mines includes a four-level system architecture that achieves data communication through the MQTT protocol combined with 4G wireless transmission: a data acquisition layer, a data storage layer, a data display layer, and a security gateway layer.

[0011] The data acquisition layer is used to collect energy consumption data of electricity, water, fuel oil and coal. It consists of automatic acquisition devices such as smart energy meters, current transformers and flow meters, as well as manual input terminals, and has built-in energy consumption metering calculation formulas.

[0012] The data storage layer is used to store data. It converts the collected energy consumption data into a system-recognizable format via the Modbus protocol and stores it in a MySQL database.

[0013] The data display layer includes a large screen monitoring module, a real-time equipment energy monitoring module, a report and management function module, and a fuel reporting module, which are used for the visual display and intelligent calculation of the energy consumption system, and realize the real-time calculation and visual monitoring of energy consumption data through the online energy consumption monitoring system.

[0014] The security gateway layer is used to ensure the security of data connection with external upper-level platforms. It adopts an independent dual-host architecture, is configured with an industrial security gateway, and completes data packaging and uploading according to the built-in algorithm.

[0015] Furthermore, the power consumption data in the data acquisition layer is collected via smart meters using the Modbus TCP protocol, based on a built-in formula. Calculate real-time power:

[0016]

[0017] In the formula: U is the line voltage, I is the line current, Power factor;

[0018] Then based on the calculation formula To achieve three-phase balance compensation calculations, three-phase current transformers are configured to ensure data accuracy.

[0019]

[0020] Instantaneous active power increment:

[0021]

[0022] Cumulative electrical energy:

[0023] .

[0024] Furthermore, the water energy consumption data in the data acquisition layer is collected via a flow meter supporting an RS485 interface using the Modbus RTU protocol, including instantaneous flow rate Q and cumulative flow rate V. 水累计 The specific formula is as follows:

[0025]

[0026]

[0027] In the formula: K is the flow meter coefficient, and f is the frequency.

[0028] Furthermore, the energy consumption data of fuel oil and coal in the data acquisition layer are recorded by manual input terminals within a specified time period, and then entered into the system. The system calculates the data according to the built-in formula V. 油 and M 煤 Automatically calculate consumption:

[0029] ; .

[0030] Furthermore, the data storage layer includes a protocol conversion module and a MySQL database, used to achieve format unification and secure storage of heterogeneous energy consumption data.

[0031] Furthermore, the large-screen monitoring module can be divided into production areas and office areas, displaying a real-time energy consumption overview, comprehensive energy consumption data analysis, energy consumption alarm reminders and equipment fault reminders within 15 minutes, including analysis charts of unit product energy consumption and electricity consumption categories for the current month;

[0032] The equipment energy real-time monitoring module has a built-in real-time refresh and anomaly detection algorithm, supports second-level data refresh every 30 seconds and data collection and refresh every 15 minutes, and provides real-time energy consumption data, historical data query, equipment details, alarm and fault information display.

[0033] The report and management function module has a built-in time period statistics algorithm that can generate 12 types of fixed reports and custom reports. Fixed reports include consumption details, statistical data and equipment status of various energy types, and support querying and downloading for multiple time periods. Custom reports allow users to select query conditions as needed, realizing full-process management of users, equipment brands, energy consumption types and equipment maintenance, and supporting the addition, deletion, modification and query of information.

[0034] The fuel reporting module includes functions for fuel application, approval, and usage record query, and supports fuel storage / consumption data reporting, review, and document printing.

[0035] Furthermore, the real-time refresh and anomaly detection algorithm built into the equipment energy real-time monitoring module is as follows:

[0036] Refresh rate in seconds:

[0037] ,

[0038] 15-minute average:

[0039]

[0040] Energy consumption threshold warning:

[0041]

[0042] Year-on-year / month-on-month sudden change alarm:

[0043]

[0044] In the formula: This is the abnormal fluctuation coefficient, with a value ranging from 0.2 to 0.3.

[0045] Equipment no-load / overload determination:

[0046] Unloaded:

[0047] Overload:

[0048] By uniformly converting various types of energy into standard coal equivalent, energy consumption can be compared and analyzed.

[0049]

[0050] In the formula: This is the standard coal conversion factor;

[0051] Energy consumption per unit product:

[0052]

[0053] In the formula: This refers to ore production.

[0054] Furthermore, the time-period statistical algorithm built into the reporting and management function module is as follows:

[0055] Hourly energy consumption:

[0056]

[0057] Daily energy consumption:

[0058]

[0059] Monthly / Annual Energy Consumption:

[0060] .

[0061] Furthermore, the security gateway layer includes an upper-level platform access interface module. The interface module supports multiple industrial standard communication protocols and database docking methods, and can obtain data from field instruments, data acquisition devices and automation information systems. It also supports manual data entry. In addition, the interface module has a built-in data packaging algorithm for uploading core data such as detailed information of metering instruments, total energy indicators, and energy efficiency indicators.

[0062] Furthermore, the built-in data packaging algorithm of the interface module is as follows:

[0063] Actual metrics for 15 minutes:

[0064]

[0065] Daily indicators:

[0066]

[0067] Monthly indicators:

[0068]

[0069] Data transmission uses the CRC32 checksum algorithm to ensure integrity.

[0070] .

[0071] Compared with the prior art, the beneficial effects of the present invention are:

[0072] 1. The mine energy consumption integrated management and control system of the present invention realizes full-process management and control of energy consumption data: through a four-level architecture and the integration of multiple acquisition methods and built-in computing models, it solves the data acquisition problem caused by the diversity of mine energy types and the dispersion of scenarios, and realizes systematic, transparent and grid-based data management.

[0073] 2. The mine energy consumption integrated management and control system of the present invention significantly improves the efficiency of energy consumption management and control: real-time monitoring and intelligent calculation and analysis functions enable management to accurately grasp the energy consumption situation, quickly identify energy-saving potential and equipment abnormalities, assist in scientific decision-making, and reduce energy consumption and operating costs.

[0074] 3. The mine energy consumption integrated management and control system of the present invention is adapted to the complex environment of mines: it adopts 4G wireless transmission to overcome the problems of high cost and difficult maintenance of wired transmission in complex mine environments, reduces the restrictions of complex mine terrain on system implementation, complements manual data entry and automatic data collection, and combines reliable algorithms to ensure full data coverage and accurate calculation. The system has strong stability and practicality.

[0075] 4. The mine energy consumption integrated management and control system of the present invention meets the requirements of standardized connection and supervision: through standardized interface design, secure transmission mechanism and reporting algorithm, it achieves seamless connection with the superior energy consumption management and control system, meets the supervision requirements of key energy-consuming units, and meets the construction needs of the three-level energy management and control system. Attached Figure Description

[0076] Figure 1 This is a system framework diagram of the present invention. Detailed Implementation

[0077] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0078] Please see Figure 1The mine energy consumption integrated management and control system provided in this embodiment of the invention includes a four-level system architecture that realizes data communication through MQTT protocol combined with 4G wireless transmission, which is used to ensure the reliability of the entire process of data collection, storage, calculation, display and transmission. Specifically, it consists of a data collection layer, a data storage layer, a data display layer and a security gateway layer.

[0079] The core of the data acquisition layer is the data acquisition and transmission module, which can be configured with corresponding acquisition equipment for different energy types in the mine. It collects energy consumption data for electricity, water, fuel oil, and coal, and consists of automatic acquisition devices such as smart meters, current transformers, and flow meters, as well as a manual input terminal. It has built-in energy consumption metering and calculation formulas.

[0080] Electricity consumption data is collected via smart meters using the Modbus TCP protocol. The system includes a smart meter and a three-phase current transformer. The smart meter collects real-time electricity data and calculates the real-time power P and cumulative energy E based on built-in formulas. 电累计 Current transformers are used to monitor the power of three-phase circuits, according to P... 三相 The calculation formula is used to achieve three-phase balance compensation, avoiding single-phase calculation errors and ensuring data accuracy. :

[0081]

[0082] In the formula: U is the line voltage, I is the line current, Power factor;

[0083] Then based on the calculation formula To achieve three-phase balance compensation calculation (eliminating single-phase errors), three-phase current transformers are configured to ensure data accuracy.

[0084]

[0085] Instantaneous active power increment:

[0086]

[0087] Cumulative electrical energy:

[0088] .

[0089] Water energy consumption data is collected from the water supply pipeline using a flow meter with an RS485 interface and the Modbus RTU protocol, which measures the instantaneous flow rate Q and cumulative flow rate V. 水累计 The specific formula is as follows:

[0090]

[0091]

[0092] In the formula: K is the flow meter coefficient, and f is the frequency.

[0093] Fuel oil and coal energy consumption data are recorded manually at terminals within a specified time period, and then entered into the system. The system calculates the data according to the built-in formula V. 油 and M 煤 Automatically calculate consumption:

[0094] ; .

[0095] In the aforementioned data acquisition layer, electricity and water data are automatically collected, supporting standard protocols such as Modbus TCP and compatible with RS485 interfaces; fuel oil / coal data is manually entered to ensure full data coverage. The MQTT protocol combined with 4G wireless transmission replaces traditional wired networks, reducing implementation costs and maintenance difficulty, and improving the flexibility and stability of data transmission. After the collected data is uploaded into the system, calculations are performed according to the built-in energy consumption calculation model.

[0096] In this embodiment of the invention, the data storage layer is used to store data. It converts the collected energy consumption data into a system-recognizable format via the Modbus protocol and stores it in a MySQL database. Its core consists of a protocol conversion module and a MySQL database. The protocol conversion module converts the heterogeneous electricity and water data acquired by the data acquisition layer into a system-recognizable JSON format via the Modbus protocol and transmits it synchronously to the MySQL database. The database includes pre-set user tables, device information tables, energy consumption data tables, calculation result tables, alarm information tables, fault information tables, and report configuration tables. It supports regular data backups to ensure data security. The data storage layer converts heterogeneous data from different acquisition devices into a unified format via the Modbus protocol and stores it in the MySQL database. The database design follows normalization theory, balancing data integrity, calculation accuracy, and system operating efficiency.

[0097] The data display layer in this embodiment of the invention includes a large-screen monitoring module, a real-time equipment energy monitoring module, a report and management function module, and a fuel reporting module, used for the visual display and intelligent calculation of energy consumption systems, and realizing real-time calculation and visual monitoring of energy consumption data through an online energy consumption monitoring system; wherein:

[0098] The large-screen monitoring module consists of a real-time energy consumption overview, energy consumption calculation and analysis, energy consumption alarm reminders, and equipment fault reminders. The real-time energy consumption overview displays the energy consumption of online energy monitoring equipment over the past 15 minutes, categorized by Data. 15min The formula calculates the mean; energy consumption calculation and analysis are based on E. 综合The calculation formula converts standard coal equivalent and displays calculation charts such as unit product energy consumption and electricity usage classification; energy consumption alarms and equipment fault alerts are displayed in a window to indicate abnormal information. The system is divided into production and office areas for real-time monitoring of regional energy consumption points.

[0099] The real-time energy monitoring module includes real-time energy consumption data, historical energy consumption data query, details of energy monitoring equipment, alarm information of monitoring equipment, and fault information of monitoring equipment. Real-time data supports 30-second refresh rates and 15-minute data acquisition cycles, meeting the minimum metering time requirements for online energy consumption monitoring of key energy-consuming units. It supports historical data tracing, equipment information viewing, and display of abnormal information. Built-in real-time refresh and anomaly detection algorithms are included.

[0100] Refresh rate in seconds:

[0101] ,

[0102] 15-minute average:

[0103]

[0104] Energy consumption threshold warning:

[0105]

[0106] Year-on-year / month-on-month sudden change alarm:

[0107]

[0108] In the formula: This is the abnormal fluctuation coefficient, with a value ranging from 0.2 to 0.3.

[0109] Equipment no-load / overload determination:

[0110] Unloaded:

[0111] Overload:

[0112] According to the national standard GB / T 2589-2020 General Rules for Calculating Comprehensive Energy Consumption, multiple types of energy are uniformly converted into standard coal equivalent to achieve comparable energy consumption analysis.

[0113]

[0114] In the formula: This is the standard coal conversion factor;

[0115] Energy consumption per unit product:

[0116]

[0117] In the formula: This refers to ore production.

[0118] The reporting and management module incorporates a time-period statistical algorithm, generating 12 types of fixed reports and custom reports. These reports can be queried and downloaded by hour, day, week, month, quarter, and year. Fixed reports include fuel consumption details, fuel consumption statistics, coal consumption details, coal consumption statistics, real-time flow rate, water consumption statistics, electricity consumption details, electricity consumption statistics, total energy consumption statistics, basic equipment information, energy consumption alarm, and equipment fault. Custom reports allow users to select query conditions as needed, enabling full-process management of users, equipment brands, energy consumption types, and equipment maintenance. Information can be added, deleted, modified, and queried. The built-in time-period statistical algorithm is as follows:

[0119] Hourly energy consumption:

[0120]

[0121] Daily energy consumption:

[0122]

[0123] Monthly / Annual Energy Consumption:

[0124] .

[0125] The fuel reporting module includes functions for fuel application, approval, and usage record query, and supports fuel storage / consumption data reporting, review, and document printing.

[0126] In this embodiment of the invention, the security gateway layer is used to ensure the security of data connection with the external upper-level platform. It adopts an independent dual-host architecture of "external network host - internal network host - secure data exchange unit", and is configured with an industrial security gateway. It strictly follows the "Data Specifications for Online Energy Consumption Monitoring System of Key Energy-consuming Units" to ensure the security of connection with the upper-level energy consumption management platform. It is also equipped with an interface module for connecting with the upper-level platform. The interface module supports multiple industrial standard communication protocols and database connection methods. It can obtain data from field instruments, data acquisition devices and automation information systems, and also supports manual entry. The interface module has a built-in data packaging algorithm for uploading core data such as detailed information of metering instruments, total energy indicators, and energy efficiency indicators. Specifically, it includes data on electricity purchase / consumption / output / external supply, cumulative data on liquid material flow, as well as detailed information of metering instruments, total energy indicators, energy efficiency indicators and product output indicators of enterprises and key processes. Data upload frequency: Real-time indicators are collected every 15 minutes and stored locally; daily indicators are packaged and uploaded according to the settlement period from 00:00 to 24:00; monthly indicators include total energy consumption, energy consumption of key processes, and economic indicators, which are automatically collected or manually entered. Data transmission uses the CRC32 checksum algorithm to ensure integrity. The data packaging algorithm is as follows:

[0127] Actual metrics for 15 minutes:

[0128]

[0129] Daily indicators:

[0130]

[0131] Monthly indicators:

[0132]

[0133] The entire data transmission uses the CRC32 checksum algorithm to ensure integrity.

[0134] .

[0135] In summary, the comprehensive energy consumption management and control system for mines of this invention adopts a four-level system architecture consisting of a data acquisition layer, a data storage layer, a data display layer, and a safety gateway layer. It integrates data acquisition, real-time calculation, real-time monitoring, data analysis, report generation, and upper-level platform integration for multiple energy types, including electricity, water, fuel oil, and coal. It incorporates complete calculation models and formulas for electricity metering, water metering, fuel oil / coal accounting, comprehensive energy consumption conversion, anomaly detection, time-period statistics, and reporting packaging. It utilizes 4G wireless transmission combined with the MQTT protocol for efficient data transmission, covering all energy types through a complementary approach of automatic data collection by smart meters and manual reporting. It strictly adheres to the "Data Specifications for Online Energy Consumption Monitoring Systems of Key Energy-Consuming Units," meeting standardized integration requirements. It enables systematic collection, transparent display, and grid-based management of mine energy consumption data, supporting the construction of a three-level energy management and control system, effectively assisting enterprises in reducing costs and increasing efficiency, and is suitable for complex energy consumption scenarios such as mines.

[0136] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A comprehensive management and control system for mine energy consumption, characterized in that, This includes a four-level system architecture that enables data communication via the MQTT protocol combined with 4G wireless transmission: data acquisition layer, data storage layer, data display layer, and security gateway layer. The data acquisition layer is used to collect energy consumption data of electricity, water, fuel oil and coal. It consists of automatic acquisition devices such as smart energy meters, current transformers and flow meters, as well as manual input terminals, and has built-in energy consumption metering calculation formulas. The data storage layer is used to store data. It converts the collected energy consumption data into a system-recognizable format via the Modbus protocol and stores it in a MySQL database. The data display layer includes a large screen monitoring module, a real-time equipment energy monitoring module, a report and management function module, and a fuel reporting module, which are used for the visual display and intelligent calculation of the energy consumption system, and realize the real-time calculation and visual monitoring of energy consumption data through the online energy consumption monitoring system. The security gateway layer is used to ensure the security of data connection with external upper-level platforms. It adopts an independent dual-host architecture, is configured with an industrial security gateway, and completes data packaging and uploading according to the built-in algorithm.

2. The integrated energy consumption management and control system for mines as described in claim 1, characterized in that: The power consumption data in the data collection layer is collected by the smart electric energy meter using the Modbus TCP protocol, and the built-in formula Calculate real-time power: where: U is the line voltage, I is the line current, cos is the power factor; According to the calculation formula Realize three-phase balance compensation calculation, configure three-phase current transformer to ensure data accuracy: Instantaneous active power increment: Cumulative electrical energy: 。 3. The comprehensive energy consumption management and control system for mines as described in claim 1, characterized in that: The water energy consumption data in the data acquisition layer is collected via a flow meter supporting an RS485 interface using the Modbus RTU protocol, which acquires instantaneous flow rate Q and cumulative flow rate V. 水累计 The specific formula is as follows: In the formula: K is the flow meter coefficient, and f is the frequency.

4. The integrated energy consumption management and control system for mines as described in claim 1, characterized in that: The energy consumption data of fuel oil and coal in the data acquisition layer are recorded by manual input terminals within a specified time period, and then entered into the system. The system calculates the data according to the built-in formula V. 油 and M 煤 Automatically calculate consumption: ； 。 5. The integrated energy consumption management and control system for mines as described in claim 1, characterized in that: The data storage layer includes a protocol conversion module and a MySQL database, which are used to achieve format unification and secure storage of heterogeneous energy consumption data.

6. The comprehensive energy consumption management and control system for mines as described in claim 1, characterized in that: The large-screen monitoring module can be divided into production area and office area, and displays a real-time energy consumption overview, comprehensive energy consumption data analysis, energy consumption alarm reminders and equipment fault reminders within 15 minutes, including analysis charts of unit product energy consumption and electricity consumption categories for the current month; The equipment energy real-time monitoring module has a built-in real-time refresh and anomaly detection algorithm, supports second-level data refresh every 30 seconds and data collection and refresh every 15 minutes, and provides real-time energy consumption data, historical data query, equipment details, alarm and fault information display. The report and management function module has a built-in time period statistics algorithm that can generate 12 types of fixed reports and custom reports. Fixed reports include consumption details, statistical data and equipment status of various energy types, and support querying and downloading for multiple time periods. Custom reports allow users to select query conditions as needed, realizing full-process management of users, equipment brands, energy consumption types and equipment maintenance, and supporting the addition, deletion, modification and query of information. The fuel reporting module includes functions for fuel application, approval, and usage record query, and supports fuel storage / consumption data reporting, review, and document printing.

7. A comprehensive energy consumption management and control system for mines as described in claim 6, characterized in that: The real-time refresh and anomaly detection algorithm built into the equipment energy real-time monitoring module is as follows: Refresh rate in seconds: ， 15-minute average: Energy consumption threshold warning: Year-on-year / month-on-month sudden change alarm: In the formula: This is the abnormal fluctuation coefficient, with a value ranging from 0.2 to 0.

3. Equipment no-load / overload determination: Unloaded: Overload: By uniformly converting various types of energy into standard coal equivalent, energy consumption can be compared and analyzed. In the formula: This is the standard coal conversion factor; Energy consumption per unit product: In the formula: This refers to ore production.

8. The comprehensive energy consumption management and control system for mines as described in claim 6, characterized in that: The time-period statistical algorithm built into the reporting and management function module is as follows: Hourly energy consumption: Daily energy consumption: Monthly / Annual Energy Consumption: 。 9. The comprehensive energy consumption management and control system for mines as described in claim 1, characterized in that: The security gateway layer includes an upper-level platform access interface module. The interface module supports multiple industrial standard communication protocols and database docking methods. It can obtain data from field instruments, data acquisition devices and automation information systems, and also supports manual data entry. In addition, the interface module has a built-in data packaging algorithm for uploading core data such as detailed information of metering instruments, total energy indicators and energy efficiency indicators.

10. A comprehensive energy consumption management and control system for mines as described in claim 9, characterized in that: The built-in data packaging algorithm of the interface module is as follows: Actual metrics for 15 minutes: Daily indicators: Monthly indicators: Data transmission uses the CRC32 checksum algorithm to ensure integrity. 。

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