A design method of optical fiber distributed monitoring system suitable for large-scale filling room group

Abstract

The present application belongs to the technical field of stability of marine construction engineering, deep-sea mining and metal mine exploitation, and discloses a design method of optical fiber distribution monitoring system suitable for large-scale filling mine group. The technical scheme of the present application comprises seven design steps, and gives the mine monitoring point arrangement scheme, detection equipment scheme, data transmission scheme and data processing and analysis scheme. The present application realizes: (1) real-time monitoring of the mutual influence of multi-row mine excavation; (2) real-time monitoring of the mutual influence of the three-dimensional environment of the mine group; (3) real-time monitoring of the influence of step-by-step filling of the mine group; (4) real-time monitoring of the influence of the size of the mine group. The present application comprehensively analyzes the influence of large-scale filling mine group on the stability of surrounding rock, improves the accuracy and effectiveness of the monitoring of large-scale filling mine group, meets the demand of flexibility and convenience of the construction system, and ensures the safety and stability of the engineering construction.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of marine construction engineering, deep-sea mining and metal mine exploitation stability, and particularly relates to a design method of a fiber distribution monitoring system suitable for large-scale filling mine group. BACKGROUND

[0002] In recent years, the rapid growth of China's economy has led to increasing demand for resources, especially in the fields of marine construction engineering, deep-sea mining and metal mine exploitation. As the importance of marine construction increases, ocean mining gradually moves towards deep sea, and the total amount of metal mine exploitation continues to rise. Under these circumstances, large-scale mine group exploitation and management problems have gradually emerged. Mine group has its own special nature compared to ordinary single mine. Mine group is composed of multiple mines, and there is complex interaction and influence between them. This interaction may lead to uneven stress distribution within the mine group, which in turn affects the stability of each mine. This not only relates to the sustainable use of resources, but also is closely related to the safety of workers and the stability of the surrounding environment.

[0003] Currently, for the monitoring of mine stability, the industry mainly uses a combination of simulation and actual monitoring methods. This method can play a certain role in early warning and prevention under certain conditions. However, as the depth of mining increases, the influence of mining mines gradually changes from single effect to mutual influence of group effect, and the geological conditions inside the goaf become more and more complex, the physical and chemical properties of rock also change, making the traditional monitoring method face great challenges.

[0004] At the same time, traditional monitoring points are often scattered in various areas, and each mine is monitored as a separate mine, resulting in a lack of effective correlation and cooperation between these points. This means that even if an abnormal situation occurs at a certain point, other points may not be able to detect this change in time, thus failing to form a complete displacement monitoring system network. This lack of unity and correlation of data makes it difficult for project managers to accurately judge the overall stability of the project.

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

[0006] The present application provides a design method of a fiber distribution monitoring system suitable for large-scale filling mine group to overcome the shortcomings of the prior art.

[0007] In order to achieve the above object, the present application provides the following technical scheme: a design method of a fiber distribution monitoring system suitable for large-scale filling of a group of ore rooms, the design method of the fiber distribution monitoring system comprising the following steps:

[0008] Step one, select ore rooms with different depths, different levels, different one-time filling heights, and different filling times in the group of ore rooms, N ore rooms of each type, and pre-arrange monitoring points N≥3;

[0009] Step two, sort out the information of the selected ore rooms where monitoring points will be arranged, and screen out redundant points through classification and induction methods;

[0010] Step three, uniformly install Monitoring equipment in the screened ore rooms;

[0011] Step four, efficiently and stably transmit Monitoring equipment data to Monitoring module through fiber communication of a local area network, and establish a group of ore rooms Distributed monitoring system ;

[0012] Step five, set up a Monitoring module for storing data;

[0013] Step six, equip a data processing device on the surface of the well Analysis Module ;

[0014] Step seven, equip an efficient communication module to realize data transmission between each acquisition end, monitoring end, and analysis end.

[0015] The selection of ore rooms corresponding to different conditions in the step one is based on:

[0016] A1, to comprehensively monitor the influence of ore room excavation and filling on surrounding rock in the vertical direction, select ore rooms with different heights and levels;

[0017] A2, to comprehensively monitor the influence of ore room excavation on surrounding rock under different filling conditions, select ore rooms with different filling heights and times;

[0018] A3, to monitor the influence of ore room excavation on surrounding rock under different filling times from the time dimension, select ore rooms with different filling times;

[0019] A4, when selecting ore rooms from a large group of ore rooms, sufficient selection should be made to avoid the absence of a certain type of ore room;

[0020] A5, refer to the numerical simulation results, and preferentially select ore rooms with greater danger in numerical simulation under the same conditions.

[0021] The specific basis for sorting out the information of the selected ore rooms where monitoring points will be arranged in the step two, and screening out redundant points through classification and induction methods includes:

[0022] B1. The collation of the pre-monitoring location information of the mine rooms 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 group is obtained, rather than simply eliminating similar ones.

[0024] The monitoring equipment described in steps 3 and 4 includes multiple acquisition modules placed in the excavation approach and surrounding rock, specifically including:

[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 the ore body vibration monitor and the drilling acquisition module.

[0029] The monitoring modules described in steps 4 and 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 of large-scale filling chambers;

[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: flashing lights and audible alarms are used to directly warn the operation site of large-scale filling chambers;

[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 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: Receive real-time data from underground monitoring equipment and store 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 equipment operation status;

[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 mine data, the analysis module must have a high degree of security and stability to ensure data integrity and confidentiality;

[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, monitoring devices at different locations are connected into a network through wired or wireless means;

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

[0050] The communication method from the monitoring module to the analysis module described 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 influence of excavation of multiple rows of chambers; (2) real-time monitoring of the mutual influence of the three-dimensional environment of a group of chambers; (3) real-time monitoring of the influence of step-by-step filling of a group of chambers; and (4) real-time monitoring of the influence of the size of the 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 and obtains the optimal arrangement for monitoring different types of chambers. It systematically monitors factors such as chamber depth, chamber location, chamber size, number of chamber fillings, and chamber single filling height that affect the stability of the surrounding rock from three-dimensional spatial and temporal dimensions, and comprehensively analyzes the impact of large-scale filling chamber groups 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 transmission 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, which can deeply mine and analyze 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 This is a sample layout diagram of a design method for an optical fiber distribution monitoring system applicable to a large-scale filling chamber group of 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 devices. Among them, the following monitor single factors: 1, 2, and 3 monitor the impact of chambers of different filling heights on the surrounding rock; 3, 7, and 8 monitor the impact of chambers of different burial depths on the surrounding rock; 3, 5, and 6 monitor the impact of chambers of different horizontal positions on the surrounding rock; and 7, 9, and 10 monitor the impact of chambers of different sizes on the surrounding rock. Based on single-factor monitoring, multiple factors are monitored simultaneously: 1, 4, and 5 monitor the impact of different combinations of filling times and chamber depths on the surrounding rock; 11, 12, and 13 monitor the impact of different chamber depths and chamber sizes on the surrounding rock; and 13, 14, and 5 monitor the impact of different horizontal positions, filling times, and chamber sizes on the surrounding rock. Through mutual comparison and combined screening, the 14 monitoring devices can monitor multiple influencing factors of a large-scale filling chamber cluster and compare the strength of the impact of different factors on the surrounding rock. DETAILED DESCRIPTION

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0064] like Figures 1 to 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 chamber group. The design method for the fiber optic distribution monitoring system includes the following implementation steps:

[0065] Step 1: Select chambers with different burial depths, different levels, different primary filling heights, and different filling times in the chamber group;

[0066] Step 2: sort out the selected mine room information where monitoring points will be arranged, and screen out redundant points through classification and induction methods;

[0067] Step 3: The data collection network also includes multiple data collection modules deployed in the excavation approach and surrounding rock. These data collection terminals are responsible for capturing and recording key data such as displacement and stress of the surrounding rock in real time 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. This monitoring terminal has powerful data processing and storage capabilities and can receive and process data from various collection terminals in real time.

[0069] Step five, equipped with well processing data analysis module, this analysis end uses advanced algorithms and models to analyze the collected data in depth to evaluate the stability state of the surrounding rock in the middle section of the ore room. Through real-time monitoring and data analysis, we can timely discover potential safety hazards and take corresponding measures for prevention and treatment;

[0070] Step six, equipped with efficient communication module to realize data transmission between each collection end, monitoring end and analysis end. This transmission module uses stable and reliable communication technology to ensure real-time data transmission and accurate arrival. At the same time, this module has strong anti-interference ability, long transmission distance and other characteristics, which can adapt to various complex mine environments.

[0071] Among them, step one requires selecting mines in large-scale mine groups, which includes:

[0072] A1. The purpose of selecting mines of different heights and levels is to monitor the impact of mine excavation and filling on surrounding rock in three-dimensional directions;

[0073] A2. The purpose of selecting mines with different filling heights and times is to monitor the impact of mine excavation on surrounding rock under different filling conditions;

[0074] A3. The purpose of selecting mines with different filling times is to monitor the impact of mine excavation on surrounding rock under different filling time conditions from the time dimension;

[0075] A4. When pre-selecting mines in large-scale mine groups, sufficient selection should be made to avoid the absence of a certain type of mine;

[0076] A5. During the selection of mines, the results of numerical simulation should be referred to, and under the same conditions, the mines with higher risk in numerical simulation should be selected first.

[0077] Among them, step two requires organizing the information of the selected mines where monitoring points will be arranged, which includes:

[0078] B1. The organization of mine pre-monitoring position information is based on the overall monitoring effect of the mine group, not a single ordinary mine;

[0079] B2. Through inductive classification prevention, the optimal distribution of monitoring points for the mine group can be obtained, rather than simple elimination of the same type.

[0080] The collection network in steps three and four also includes the specific content of multiple collection modules arranged in the excavation access and surrounding rock, which includes:

[0081] C1, Multi-point displacement monitor: This monitors real-time displacement of the surrounding rock using 2-5 anchor rods of varying lengths fixed in the rock. These anchor rods are drilled into the rock and can accurately capture and record minute displacement changes in the surrounding rock, providing crucial data for assessing the stability of the central section of the mine chamber.

[0082] C2, Water Pressure Monitor: This device monitors changes in pore water pressure in the surrounding rock, keeping track of groundwater loss in the mining area. This device places a water pressure monitor in the water level hole to provide real-time monitoring of pore water pressure. This monitoring data is crucial for assessing hydrological conditions in the middle section of the mine and preventing water disasters.

[0083] C3, Temperature Monitor: A temperature monitor is installed in the excavation approach to monitor the air temperature in real time. Sudden temperature changes can cause inaccurate monitoring data, so the introduction of a temperature monitor ensures the accuracy and reliability of the monitoring data. By monitoring the temperature in real time, we can better understand the environmental conditions in the middle section of the mine, providing a safer and more comfortable working environment for mine operations.

[0084] C4, Microseismic Monitor: The microseismic monitor is used to monitor the vibration conditions in the middle section of the mine chamber. It includes 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 approach to the middle section of the mine chamber. It 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 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 chamber, predicting seismic activities and preventing mine 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 faces, water head changes in the surrounding rock, and total temperature changes in the excavation approach. These data are important bases for evaluating the safety status of the middle section of the mine.

[0087] D2, alarm module: The alarm module includes the calculation module and the alarm 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, 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 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 system directly warns the mine operation site through flashing lights and sound alarms, so that operators can detect the situation in time and take appropriate safety measures;

[0093] 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 middle section of the mine in real time and make decisions quickly based on the alarm information, such as adjusting the operation plan and launching the emergency plan.

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

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

[0096] G2, data analysis function: using data analysis tools and algorithms to conduct in-depth processing and analysis of 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 data integrity and confidentiality;

[0101] G7, Compatibility: The analysis module should be compatible with multiple data sources and file formats 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, different middle section monitoring data to the communication mode of the monitoring module: using LAN technology, through wired, wireless way to connect different positions of monitoring equipment into a network. Monitoring equipment sends data to the switch or router in the LAN, and then these network devices collect data into the monitoring module. The LAN communication mode has the advantages of high data transmission rate, good stability, strong security, etc., and is suitable for data transmission in complex environments such as mine rooms;

[0105] H2, the communication mode of the monitoring module to the analysis module.

[0106] Among them, the specific content of the communication mode of the monitoring module to the analysis module in H2 includes;

[0107] I1, optical cable transmission: the monitoring module transmits the received data to the ground through optical cable. As a kind of high-speed and stable data transmission medium, optical cable can provide high bandwidth and low delay transmission capability, ensuring fast and accurate data transmission;

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

[0109] I3, cloud analysis and processing: in the cloud, data is further analyzed and processed. Using the powerful computing power of cloud computing, valuable information can be extracted from the data through deep mining and analysis, providing decision support for mine safety management;

[0110] I4, computer or mobile terminal analysis and processing: the data processed by the cloud is transmitted to the computer or mobile terminal for analysis and processing. Users can access these data anytime and anywhere through computer or mobile device, and further analyze and visualize the data according to needs.

[0111] The above embodiments of the present application are only examples for clearly illustrating the present application, and are not limited to the embodiments of the present application. Any modification, equivalent replacement and improvement within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A design method for a fiber optic distributed monitoring system suitable for a large-scale filling chamber group, characterized by: The specific implementation steps of the optical fiber distribution monitoring system are as follows: Step 1: Select different mine rooms in the mine room group. The number of each type of mine room selected is N. The number of pre-arranged monitoring points in each mine room is greater than or equal to 3. The selection basis is: A1, in order to comprehensively monitor the impact of mine excavation and filling on the surrounding rock in 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 cluster, a thorough selection should be made to avoid missing chambers of a certain type. A5, refer to the numerical simulation results, and give priority to the mine room with greater danger in the numerical simulation under the same conditions; Step 2: Organize the selected mine room information for monitoring point arrangement and remove redundant points. The basis for removing redundant points is as follows: B1. The collation of the pre-monitoring location information of the mine rooms is based on the overall monitoring effect of the mine room group, rather than on a single ordinary mine room; B2, through the inductive classification method, the optimal distribution of monitoring points for the mine room group is obtained, rather than simply eliminating similar points; Step 3: Install monitoring equipment in the screened 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 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 method for designing a fiber optic distribution monitoring system for a large-scale backfill chamber group according to claim 1, characterized in that: The monitoring equipment described in steps 3 and 4 includes multiple acquisition modules placed in the excavation approach and surrounding rock, specifically including: 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 the ore body vibration monitor and the drilling acquisition module.

3. The method for designing a fiber optic distribution monitoring system for a large-scale backfill chamber group according to claim 1, characterized in that: The monitoring modules described in steps 4 and 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 of large-scale filling chambers; 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.

4. The method for designing a fiber optic distribution monitoring system for a large-scale backfill chamber group according to claim 3, characterized in that: The warning module described in E2 includes: F1, on-site warning: flashing lights and audible alarms are used to directly warn the operation site of large-scale filling chambers; 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 group in real time and make decisions quickly based on the alarm information.

5. The method for designing a fiber optic distribution monitoring system for a large-scale backfill chamber group according to claim 1, characterized in that: The analysis module in step six includes: G1, data reception and storage: Receive real-time data from underground monitoring equipment and store 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 equipment operation status; 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 mine data, the analysis module must have a high degree of security and stability to ensure data integrity and confidentiality; 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.

6. The method for designing a fiber optic distribution monitoring system for a large-scale backfill 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, monitoring devices at different locations are connected into a network through wired or wireless means; H2, communication method from monitoring module to analysis module.

7. The method for designing a fiber optic distribution monitoring system for a large-scale backfill chamber group according to claim 6, characterized in that: The communication method from the monitoring module to the analysis module described 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.

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