Optical fiber distribution monitoring system design method suitable for large-scale filling chamber group

Abstract

The invention belongs to the technical field of island construction engineering, deep sea mining and metal mine mining stability, and discloses an optical fiber distribution monitoring system design method suitable for a large-scale filling chamber group. According to the technical scheme, the method comprises seven design steps, and a room monitoring point arrangement scheme, a detection equipment scheme, a data transmission scheme and a data processing and analysis scheme are given. The method is realized as follows: (1) mutual influence during excavation of multiple rows of chambers is monitored in real time; (2) monitoring the mutual influence of the three-dimensional environment of the chamber group in real time; (3) monitoring the influence of step-by-step filling of the chamber group in real time; and (4) monitoring the influence of the sizes of the chambers in the chamber group in real time. According to the scheme, the influence of the large-scale filling chamber group on the stability of the surrounding rock is comprehensively analyzed, the accuracy and effectiveness of monitoring of the large-scale filling chamber group are improved, the requirements for use flexibility and convenience of a construction system are met, and safety and stability of engineering construction are guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of island construction engineering, deep-sea mining, and metal mine mining stability technology, and specifically is a design method for an optical fiber distribution monitoring system suitable for a large-scale filling mine room group. Background Art

[0002] In recent years, the rapid economic growth in my country has led to an increasing demand for resources, especially in the fields of island construction, deep-sea mining, and metal mining. As the importance of island construction gradually increases, marine mining gradually moves towards the deep sea, and the total amount of metal mining continues to rise. Under these circumstances, the problem of large-scale mining and governance of mine clusters has gradually emerged. Mine clusters have their own particularities compared to ordinary single mines. Mine clusters are composed of multiple mines, and there are complex interactions and influences between them. This interaction may lead to uneven stress distribution within the mine cluster, which in turn affects the stability of each mine. This is not only related to the sustainable use of resources, but also closely related to the life safety of workers and the stability of the surrounding environment.

[0003] At present, the industry mainly uses a monitoring method that combines simulation and practice to monitor the stability of mine rooms. This method can play a certain role in early warning and prevention under certain conditions. However, with the increase in mining depth, the impact of mining mines gradually changes from a single effect to a group effect that affects each other. The geological conditions inside the goaf become more and more complex, and the physical and chemical properties of the rocks also change accordingly, making traditional monitoring methods face huge challenges.

[0004] At the same time, traditional monitoring points are often scattered in various areas, and each mine room is monitored as a separate mine room, resulting in a lack of effective connection and coordination between these points. This means that even if an abnormal situation occurs at a certain point, other points may not be able to perceive this change in time, and thus a complete displacement monitoring system network cannot be formed. This lack of uniformity and correlation of data makes it difficult for project managers to make accurate judgments on the overall stability of the project.

[0005] In summary, due to the particularity of large-scale mining, surrounding rock stability monitoring faces many challenges. In order to improve the accuracy and effectiveness of monitoring, corresponding monitoring and management measures need to be taken to ensure the safety and stability of the entire project. Summary of the invention

[0006] In order to overcome the shortcomings of the prior art, the present invention provides a design method for an optical fiber distribution monitoring system suitable for a large-scale filling mine room group.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a design method of an optical fiber distribution monitoring system suitable for a large-scale filling mine room group, the design method of the optical fiber distribution monitoring system comprises the following steps:

[0008] Step 1: Select mines with different burial depths, different levels, different primary filling heights, and different filling times in the mine group. The number of each type of mine is N, and N≥3 monitoring points are pre-arranged;

[0009] Step 2: sort out the selected mine room information where monitoring points are to be arranged, and filter out redundant points by classification and induction;

[0010] Step 3: Install uniformly in the mine room after screening Monitoring equipment ;

[0011] Step 4: Use the fiber optic communication of the local area network to Monitoring equipment Data is efficiently and stably transmitted to Monitoring module In the construction of mining room clusters Distributed Monitoring System ;

[0012] Step 5: Set up the summary storage data Monitoring module ;

[0013] Step 6: Equip the well with data processing equipment Analysis Module ;

[0014] Step seven: Equip with an efficient communication module to realize data transmission between various collection terminals, monitoring terminals and analysis terminals.

[0015] The selection basis of the mine rooms corresponding to different conditions in step 1 is:

[0016] A1, in order to comprehensively monitor the impact of mine excavation and filling on the surrounding rock in the three-dimensional direction, mines of different heights and levels were selected;

[0017] A2, in order to comprehensively monitor the impact of chamber excavation on surrounding rock under different filling conditions, chambers with different filling heights and times were selected;

[0018] A3, in order to monitor the impact of chamber excavation on surrounding rock under different filling times from the time dimension, chambers with different filling times were selected;

[0019] A4. When selecting chambers from a large-scale chamber group, sufficient selection should be made to avoid the situation where a certain type of chamber is missing;

[0020] A5. Refer to the numerical simulation results and, under the same conditions, give priority to the mine room with greater danger in the numerical simulation.

[0021] In the step 2, the selected mine room information where monitoring points are to be arranged is sorted out, and the specific basis for screening out redundant points by classification and induction method includes:

[0022] B1, the collation of the pre-monitoring location information of the mine room is based on the overall monitoring effect of the mine room group, rather than on a single ordinary mine room;

[0023] B2, through inductive classification and prevention, the optimal distribution of monitoring points for the mine room group is obtained, rather than simply eliminating the same type.

[0024] The monitoring equipment described in step 3 and step 4 includes multiple acquisition modules arranged in the excavation approach and surrounding rock, and the specific contents include:

[0025] C1, multi-point displacement monitor: fixed in the surrounding rock through 2-5 anchor rods of different lengths to monitor the displacement of the surrounding rock in real time;

[0026] C2, water pressure monitor: monitors the changes in pore water pressure in the surrounding rock and understands the loss of groundwater in the mining area;

[0027] C3, temperature monitor: The temperature monitor is installed in the excavation access road to monitor the air temperature of the excavation access road in real time;

[0028] C4, microseismic monitor: The microseismic monitor monitors the vibration conditions in the middle section of the mine room, including an ore body vibration monitor and a drilling acquisition module.

[0029] The monitoring modules described in step 4 and step 5 include:

[0030] D1, storage module: The storage module is used to store data transmitted from various acquisition terminals;

[0031] D2, alarm module: The alarm module includes a calculation module and an alarm module;

[0032] The alarm module in D2 includes:

[0033] E1, calculation module: This module performs preliminary calculations on the safety evaluation system of large-scale filling chambers based on the data recorded in the storage module and the preset safety evaluation system;

[0034] E2, warning module: When the operation module draws a preliminary conclusion that a large-scale filling chamber group is in an unsafe state, the warning module is triggered.

[0035] The warning module described in E2 includes:

[0036] F1, on-site warning: directly warn the operation site of large-scale filling chambers by flashing lights and sound alarms;

[0037] F2, monitoring end alarm: The alarm information will be sent to the monitoring end through the transmission module at the same time, so that the management personnel can understand the safety status of the large-scale filling mine room group in real time and make decisions quickly based on the alarm information.

[0038] The analysis module in step six includes:

[0039] G1, data reception and storage: receiving real-time data from underground monitoring equipment and storing it in the database for subsequent analysis and processing;

[0040] G2, data analysis function: using data analysis tools and algorithms to conduct in-depth processing and analysis of underground mine data;

[0041] G3, Visualization Interface: Provides an intuitive visualization interface that enables users to easily view and analyze data;

[0042] G4, data report generation: automatically generate data reports to quickly understand the safety status of the mine and the operation of equipment;

[0043] G5, remote control: supports remote control function, allowing remote control of underground equipment and systems through computers and mobile devices;

[0044] G6, Security: Considering the importance of underground data, the analysis module must have a high degree of security and stability to ensure the integrity and confidentiality of the data;

[0045] G7, Compatibility: The analysis module should be compatible with data sources and file formats;

[0046] G8, Customizability: The analysis module should be customizable to a certain extent according to user needs.

[0047] The specific process of data transmission in step 7 includes:

[0048] H1, communication method of monitoring data from different terminals to monitoring modules: using local area network (LAN) technology to connect monitoring devices at different locations into a network through wired or wireless methods;

[0049] H2, communication method from monitoring module to analysis module.

[0050] The communication method from the monitoring module to the analysis module in H2 includes:

[0051] I1, optical fiber transmission: the monitoring module transmits the received data to the ground via optical cable;

[0052] I2, 5G signal transmission: Data on the ground is transmitted to the cloud via the 5G network;

[0053] I3, Cloud Analysis and Processing: In the cloud, data is further analyzed and processed;

[0054] I4, analysis and processing on the computer or mobile terminal: The data processed in the cloud is transmitted to the computer or mobile terminal for analysis and processing.

[0055] Through comprehensive analysis of factors such as three-dimensional space, time, and chamber size, the following are achieved: (1) real-time monitoring of the mutual impact of excavation of multiple rows of chambers; (2) real-time monitoring of the mutual impact of the three-dimensional environment of a group of chambers; (3) real-time monitoring of the impact of step-by-step filling of a group of chambers; and (4) real-time monitoring of the impact of the size of chambers in a group of chambers.

[0056] The beneficial effects of the present invention are as follows:

[0057] (1) The present invention classifies different chambers in a large-scale filling chamber group to obtain the optimal arrangement for monitoring different types of chambers. It systematically monitors factors that affect the stability of the surrounding rock, such as the chamber depth, chamber location, chamber size, number of chamber fillings, and chamber single filling height, from three-dimensional spatial and temporal dimensions, to comprehensively analyze the impact of a large-scale filling chamber group on the stability of the surrounding rock.

[0058] (2) The present invention ensures that different mid-segment monitoring data can be efficiently and stably transmitted to the monitoring module through the local area network communication mode. This communication method avoids the loss or damage of data during the transmission process and ensures the integrity and accuracy of the data. Combined with optical cable transmission and 5G signal transmission, the data transmission from the monitoring module to the analysis module is fast and stable. The high speed and low latency characteristics provided by 5G technology ensure that the data can be transmitted to the cloud in real time and accurately for analysis and processing.

[0059] (3) The present invention utilizes the powerful computing power of cloud computing through end-to-end analysis and processing to conduct in-depth mining and analysis of large amounts of data and extract valuable information. This processing capability makes engineering safety management decisions more accurate and efficient. Users can access and process data anytime and anywhere on a computer or mobile device, meeting the needs of flexibility and convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A layout diagram of a design method of an optical fiber distribution monitoring system suitable for a large-scale filling mine room group according to the present invention;

[0061] Figure 2 The four modules and operation process diagram of the system of the present invention are included;

[0062] In the figure: 1-14 are on-site monitoring equipment, among which the single factor monitoring is: 1, 2, 3 are monitoring the impact of different filling heights on the surrounding rock; 3, 7, 8 are monitoring the impact of different buried depths on the surrounding rock; 3, 5, 6 are monitoring the impact of different horizontal positions on the surrounding rock; 7, 9, 10 are monitoring the impact of different mine room sizes on the surrounding rock; on the basis of single factor monitoring, multiple factors are monitored simultaneously: 1, 4, 5 are monitoring the impact of different filling times and different mine room burial depths on the surrounding rock; 11, 12, 13 are monitoring the impact of different mine room burial depths and different mine room size combinations on the surrounding rock; 13, 14, 5 are monitoring the impact of different horizontal positions, different filling times and different mine room size combinations on the surrounding rock. Through mutual comparison and combined screening, 14 monitoring equipment can be used to monitor multiple influencing factors of large-scale filling mine room groups, and the strength of the impact of different influencing factors on the surrounding rock can be compared. DETAILED DESCRIPTION

[0063] 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.

[0064] like Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a design method for a fiber optic distribution monitoring system applicable to a large-scale filling mine room group. The design method for the fiber optic distribution monitoring system includes the following implementation steps:

[0065] Step 1, selecting mine chambers with different burial depths, different levels, different primary filling heights, different filling times, etc. in the mine chamber group;

[0066] Step 2: sort out the selected mine room information where monitoring points are to be arranged, and filter out redundant points by classification and induction;

[0067] Step 3: The data collection network also includes multiple data collection modules arranged in the excavation route and surrounding rock. These data collection terminals are responsible for real-time capture and recording of key data such as displacement and stress of the surrounding rock to ensure the accuracy and comprehensiveness of the data.

[0068] Step 4: Set up a monitoring module to aggregate and store data, centrally manage and analyze data. The monitoring terminal has powerful data processing and storage capabilities, and can receive and process data from various collection terminals in real time;

[0069] Step 5: Equipped with an analysis module for processing data on the well. This analysis end uses advanced algorithms and models to conduct in-depth analysis of the collected data to evaluate the stability of the surrounding rock in the middle section of the mine room. Through real-time monitoring and data analysis, we can promptly discover potential safety hazards and take corresponding measures to prevent and deal with them;

[0070] Step six, equip with an efficient communication module to realize data transmission between various collection terminals, monitoring terminals and analysis terminals. This transmission module adopts stable and reliable communication technology to ensure real-time transmission and accurate arrival of data. At the same time, the module also has the characteristics of strong anti-interference ability and long transmission distance, and can adapt to various complex mine environments.

[0071] Among them, the requirements for step 1 to select a mine room in a large-scale mine room group are as follows:

[0072] A1. The purpose of selecting chambers at different heights and levels is to comprehensively monitor the impact of chamber excavation and filling on the surrounding rock in the three-dimensional direction;

[0073] A2, the purpose of selecting chambers with different filling heights and times is to comprehensively monitor the impact of chamber excavation on surrounding rock under different filling conditions;

[0074] A3, the purpose of selecting chambers with different filling times is to monitor the impact of chamber excavation on surrounding rock under different filling times from the time dimension;

[0075] A4, when pre-selecting the ore chambers in a large-scale ore chamber group, sufficient selection should be made to avoid the situation where a certain type of ore chamber is missing;

[0076] A5. In the process of selecting the mine chamber, the numerical simulation results should be referred to. Under the same conditions, the mine chamber with greater danger in the numerical simulation should be given priority.

[0077] Among them, the requirements for step 2 to organize the information of the selected mine rooms where monitoring points will be arranged are:

[0078] B1, the collation of the pre-monitoring location information of the mine room is based on the overall monitoring effect of the mine room group, rather than on a single ordinary mine room;

[0079] B2, through inductive classification and prevention, the optimal distribution of monitoring points for the mine room group can be obtained, rather than simply eliminating the same type.

[0080] The acquisition network in step 3 and step 4 also includes the specific contents of multiple acquisition modules arranged in the excavation approach and surrounding rock, including:

[0081] C1, multi-point displacement monitor: 2-5 anchor rods of different lengths are fixed in the surrounding rock to achieve real-time monitoring of surrounding rock displacement. These anchor rods are fixed in the rock through drilling holes and can accurately capture and record small displacement changes of the surrounding rock, providing important data for evaluating the stability of the middle section of the mine room;

[0082] C2, water pressure monitor: monitors the changes in pore water pressure in the surrounding rock and keeps track of groundwater loss in the mining area. This device places a water pressure monitoring device in the water level hole to achieve real-time monitoring of pore water pressure. These monitoring data are of great significance for evaluating the hydrological conditions in the middle section of the mine and preventing water disasters.

[0083] C3, temperature monitor: The temperature monitor is installed in the excavation access road to monitor the air temperature of the excavation access road in real time. Since sudden changes in temperature may cause inaccurate monitoring data, the introduction of the temperature monitor ensures the accuracy and reliability of the monitoring data. Through real-time monitoring of temperature, we can better understand the environmental conditions in the middle section of the mine room and provide a safer and more comfortable working environment for mine room operations;

[0084] C4, microseismic monitor: The microseismic monitor is used to monitor the vibration conditions in the middle section of the mine room, including an ore body vibration monitor and a borehole acquisition module. The ore body vibration monitoring module includes a low-frequency mine vibration sensor installed in the access road in the middle section of the mine room, which can collect high-energy microseismic signals and mine vibration signals occurring near the working face. The borehole acquisition module is a microseismic sensor installed in the borehole together with the displacement monitor, which is used to monitor and collect vibration signals in the borehole. These microseismic data are of great significance for evaluating the stability of the middle section of the mine room, predicting seismic activities and preventing mine room disasters.

[0085] The specific contents of the monitoring module for summarizing and storing data in step 5 include:

[0086] D1, storage module: The storage module is used to store data transmitted from various acquisition terminals, including surrounding rock displacement changes, seismic waves and vibration changes near the drilling and mining surface, water head changes in the surrounding rock, and total temperature changes in the excavation route. These data are important bases for evaluating the safety status of the middle section of the mine room.

[0087] D2, alarm module: The alarm module includes calculation module and warning module

[0088] Among them, the specific contents of the alarm module in D2 include:

[0089] E1, calculation module: This module performs preliminary calculations based on the data recorded in the storage module and the preset safety evaluation system. By comparing and analyzing the real-time data with the preset safety threshold, the calculation module can draw a preliminary conclusion on the current safety status of the middle section of the mine room, that is, whether it is safe or unsafe;

[0090] E2, warning module: When the operation module draws a preliminary conclusion that the middle section of the mine room is in an unsafe state, the warning module will be triggered.

[0091] Among them, the specific contents of the warning module in E2 include:

[0092] F1, on-site warning: The mine operation site is warned directly by flashing lights and sound alarms, so that the operators can detect it in time and take corresponding safety measures;

[0093] F2, monitoring end alarm: The alarm information will also be sent to the monitoring end through the transmission module, so that the management personnel can understand the safety status of the middle section of the mine room in real time and make decisions quickly based on the alarm information, such as adjusting the operation plan, launching emergency plans, etc.

[0094] The specific contents of the analysis end in step six include:

[0095] G1, data reception and storage: receiving real-time data from downhole monitoring equipment and storing it in the database for subsequent analysis and processing;

[0096] G2, data analysis function: using data analysis tools and algorithms to deeply process and analyze downhole data, which may include statistical analysis, trend prediction, anomaly detection, etc.

[0097] G3, Visualization interface: Provide an intuitive visualization interface to enable users to easily view and analyze data, which may include data presentation in the form of charts, images, animations, etc.

[0098] G4, data report generation: automatically generate data reports to quickly understand the underground safety status and equipment operation status;

[0099] G5, remote control: supports remote control function, allowing remote control of underground equipment and systems through computers and mobile devices;

[0100] G6, Security: Considering the importance of downhole data, the analysis module must have a high degree of security and stability to ensure the integrity and confidentiality of the data;

[0101] G7, Compatibility: The analysis module should be compatible with a variety of data sources and file formats so as to seamlessly connect with different downhole monitoring equipment;

[0102] G8, Customizability: According to user needs, the analysis module should have a certain degree of customization to meet the special needs of different engineering projects.

[0103] The specific steps of data transmission in step seven include:

[0104] H1, communication mode of different monitoring data to monitoring module: LAN technology is used to connect monitoring equipment in different locations into a network through wired and wireless methods. The monitoring equipment sends the data to the switch or router in the LAN, and then these network devices summarize the data into the monitoring module in different categories. The LAN communication mode has the advantages of high data transmission rate, good stability and strong security, and is suitable for data transmission in complex environments such as mines;

[0105] H2, communication method from monitoring module to analysis module.

[0106] Among them, the specific contents of the communication method from the monitoring module to the analysis module in H2 include:

[0107] I1, Optical cable transmission: The monitoring module transmits the received data to the ground through the optical cable. As a high-speed and stable data transmission medium, the optical cable can provide high bandwidth and low latency transmission capabilities to ensure fast and accurate data transmission;

[0108] I2, 5G signal transmission: Data on the ground is transmitted to the cloud through the 5G network. 5G technology has the characteristics of high speed, low latency, and large number of connections. It can support the real-time transmission and processing of large amounts of data, providing strong support for the data transmission of the mine safety monitoring system;

[0109] I3, Cloud Analysis and Processing: In the cloud, data is further analyzed and processed. By using the powerful computing power of cloud computing, data can be deeply mined and analyzed to extract valuable information and provide decision support for mine safety management;

[0110] I4. Analysis and processing on a computer or mobile device: The data processed in the cloud is transmitted to a computer or mobile device for analysis and processing. Users can access this data anytime and anywhere through a computer or mobile device, and further analyze and visualize the data as needed.

[0111] The above embodiments of the present invention are only examples for clearly explaining the present invention, and are not intended to limit the implementation methods of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A design method for an optical fiber distribution monitoring system suitable for a large-scale filling mine room group, characterized by: The specific implementation steps of the optical fiber distribution monitoring system are as follows: Step 1: Select mines with different burial depths, different levels, different primary filling heights, and different filling times in the mine group. The number of each type of mine is N, and N≥3 monitoring points are pre-arranged; Step 2: sort out the selected mine room information where monitoring points are to be arranged, and filter out redundant points by classification and induction; Step 3: Install monitoring equipment uniformly in the selected mine room; Step 4: Transmit the monitoring equipment data to the monitoring module efficiently and stably through the optical fiber communication of the local area network to establish a distributed monitoring system for the mine room group; Step 5: Set up a monitoring module to aggregate and store data; Step 6: Equip an analysis module for processing data on the well; Step seven: Equip with an efficient communication module to realize data transmission between various collection terminals, monitoring terminals and analysis terminals.

2. The optical fiber distribution monitoring system design method applicable to large-scale filling chambers according to claim 1 is characterized in that: The selection basis of the mine rooms corresponding to different conditions in step 1 is: A1, in order to comprehensively monitor the impact of mine excavation and filling on the surrounding rock in the three-dimensional direction, mines of different heights and levels were selected; A2, in order to comprehensively monitor the impact of chamber excavation on surrounding rock under different filling conditions, chambers with different filling heights and times were selected; A3, in order to monitor the impact of chamber excavation on surrounding rock under different filling times from the time dimension, chambers with different filling times were selected; A4. When selecting chambers from a large-scale chamber group, sufficient selection should be made to avoid the situation where a certain type of chamber is missing; A5. Refer to the numerical simulation results and, under the same conditions, give priority to the mine room with greater danger in the numerical simulation.

3. The optical fiber distribution monitoring system design method applicable to large-scale filling chambers according to claim 1 is characterized in that: In the step 2, the selected mine room information where monitoring points are to be arranged is sorted out, and the specific basis for screening out redundant points by classification and induction method includes: B1, the collation of the pre-monitoring location information of the mine room is based on the overall monitoring effect of the mine room group, rather than on a single ordinary mine room; B2, through inductive classification and prevention, the optimal distribution of monitoring points for the mine room group is obtained, rather than simply eliminating the same type.

4. The optical fiber distribution monitoring system design method applicable to large-scale filling mine chambers according to claim 1 is characterized in that: The monitoring equipment described in step 3 and step 4 includes multiple acquisition modules arranged in the excavation route and surrounding rock, and the specific contents include: C1, multi-point displacement monitor: fixed in the surrounding rock through 2-5 anchor rods of different lengths to monitor the displacement of the surrounding rock in real time; C2, water pressure monitor: monitors the changes in pore water pressure in the surrounding rock and understands the loss of groundwater in the mining area; C3, temperature monitor: The temperature monitor is installed in the excavation access road to monitor the air temperature of the excavation access road in real time; C4, microseismic monitor: The microseismic monitor monitors the vibration conditions in the middle section of the mine room, including an ore body vibration monitor and a drilling acquisition module.

5. The method for designing a fiber optic distribution monitoring system for a large-scale filling chamber group according to claim 1 is characterized in that: The monitoring modules described in step 4 and step 5 include: D1, storage module: The storage module is used to store data transmitted from various acquisition terminals; D2, alarm module: The alarm module includes a calculation module and an alarm module; The alarm module in D2 includes: E1, calculation module: This module performs preliminary calculations on the safety evaluation system of large-scale filling chambers based on the data recorded in the storage module and the preset safety evaluation system; E2, warning module: When the operation module draws a preliminary conclusion that a large-scale filling chamber group is in an unsafe state, the warning module is triggered.

6. The method for designing a fiber optic distribution monitoring system for a large-scale filling chamber group according to claim 5, characterized in that: The warning module described in E2 includes: F1, on-site warning: directly warn the operation site of large-scale filling chambers by flashing lights and sound alarms; F2, monitoring end alarm: The alarm information will be sent to the monitoring end through the transmission module at the same time, so that the management personnel can understand the safety status of the large-scale filling mine room group in real time and make decisions quickly based on the alarm information.

7. The method for designing a fiber optic distribution monitoring system for a large-scale filling chamber group according to claim 1, characterized in that: The analysis module in step six includes: G1, data reception and storage: receiving real-time data from underground monitoring equipment and storing it in the database for subsequent analysis and processing; G2, data analysis function: using data analysis tools and algorithms to conduct in-depth processing and analysis of underground mine data; G3, Visualization Interface: Provides an intuitive visualization interface that enables users to easily view and analyze data; G4, data report generation: automatically generate data reports to quickly understand the safety status of the mine and the operation of equipment; G5, remote control: supports remote control function, allowing remote control of underground equipment and systems through computers and mobile devices; G6, Security: Considering the importance of underground data, the analysis module must have a high degree of security and stability to ensure the integrity and confidentiality of the data; G7, Compatibility: The analysis module should be compatible with data sources and file formats; G8, Customizability: The analysis module should be customizable to a certain extent according to user needs.

8. The method for designing a fiber optic distribution monitoring system for a large-scale filling chamber group according to claim 1, characterized in that: The specific process of data transmission in step 7 includes: H1, communication method of monitoring data from different terminals to monitoring modules: using local area network (LAN) technology to connect monitoring devices at different locations into a network through wired or wireless methods; H2, communication method from monitoring module to analysis module.

9. The method for designing a fiber optic distribution monitoring system for a large-scale filling chamber group according to claim 8, characterized in that: The communication method from the monitoring module to the analysis module in H2 includes: I1, optical fiber transmission: the monitoring module transmits the received data to the ground via optical cable; I2, 5G signal transmission: Data on the ground is transmitted to the cloud via the 5G network; I3, Cloud Analysis and Processing: In the cloud, data is further analyzed and processed; I4, analysis and processing on the computer or mobile terminal: The data processed in the cloud is transmitted to the computer or mobile terminal for analysis and processing.

10. The method for designing a fiber optic distribution monitoring system for a large-scale filling chamber group according to claim 1, characterized in that: Through comprehensive analysis of factors such as three-dimensional space, time, and chamber size, the following are achieved: (1) real-time monitoring of the mutual impact of excavation of multiple rows of chambers; (2) real-time monitoring of the mutual impact of the three-dimensional environment of a group of chambers; (3) real-time monitoring of the impact of step-by-step filling of a group of chambers; and (4) real-time monitoring of the impact of the size of chambers in a group of chambers.

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