Tunnel goaf stress automatic monitoring system
By arranging sensor groups and Internet of Things technology at different locations in the tunnel, the real-time and accuracy issues of stress monitoring in the tunnel goaf are solved, and the automated and intelligent management of stress in the tunnel goaf is achieved.
Patent Information
- Application Number
- CN202423054091.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-09-12
- Estimated Expiration
- 2034-12-10
AI Technical Summary
Existing technologies cannot achieve large-scale, distributed, and real-time monitoring of tunnel goaf stress. Traditional monitoring methods are greatly affected by the environment and have large errors, which cannot meet the requirements of tunnel goaf stress monitoring.
A sensor group consisting of an earth pressure gauge, a first steel bar gauge, a second steel bar gauge and a strain gauge is distributed at different locations in the tunnel and connected to a data acquisition instrument via a data cable to form a distributed real-time monitoring network. The data is then transmitted to the monitoring center for automatic processing via Internet of Things technology.
It has achieved high-precision and automated monitoring of stress in tunnel goaf areas, improved the accuracy and stability of monitoring, and promoted the informatization and intelligent development of tunnel goaf area safety management.
Smart Images

Figure CN223330617U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of railway tunnel goaf area monitoring, in particular to a tunnel goaf area stress automatic monitoring system. Background Art
[0002] At present, there are many means to monitor the deformation and temperature of tunnel structures in goaf areas. Resistive, vibrating string and mechanical sensors are mainly used to monitor the strain and temperature of key parts of tunnels in goaf areas.
[0003] However, traditional monitoring methods are significantly affected by the environment and suffer from large errors, making them unable to meet the requirements for stress monitoring in tunnel goaf areas. Furthermore, existing monitoring methods cannot achieve large-scale, distributed, and real-time monitoring of stress in tunnel goaf areas, resulting in extremely limited applicability and significantly restricting the development of tunnel construction technology in goaf areas. Therefore, it is urgent to propose a tunnel goaf area stress automatic monitoring system that can monitor stress in tunnels with large deformation, large range, distributed, high precision, and automation. Utility Model Content
[0004] The utility model provides a tunnel goaf area stress automatic monitoring system which can monitor a large range, large deformation, strong operability, low cost and realize automatic monitoring.
[0005] A tunnel goaf area stress automatic monitoring system includes monitoring equipment and a monitoring center. The monitoring equipment includes a sensor group fixed at multiple monitoring points in each monitored tunnel section and a data acquisition instrument. Each sensor group includes an earth pressure gauge, a first steel bar gauge, a second steel bar gauge and a strain gauge. The earth pressure gauge is arranged between the tunnel surrounding rock and the primary support steel frame. The first steel bar gauge is arranged on the inner and outer sides of the tunnel primary support steel frame. The second steel bar gauge is arranged on the circumferential main reinforcement on the inner and outer sides of the tunnel secondary lining. The strain gauge is arranged in the tunnel secondary lining concrete between the second steel bar gauges on both sides. The output ends of the earth pressure gauge, the first steel bar gauge, the second steel bar gauge and the strain gauge are all connected to the input end group of the data acquisition instrument via a data cable. The output end of the data acquisition instrument is connected to the monitoring center via a transmission network.
[0006] Furthermore, eight sensor groups are arranged in each monitored tunnel section, three of which are arranged in the vault part of the tunnel, two of which are arranged in the side walls on both sides of the tunnel, and the remaining three sensor groups are arranged in the invert part of the tunnel.
[0007] Furthermore, three of the sensor groups are arranged on the left, middle and right sides of the tunnel vault part, and three of the sensor groups are arranged on the left, middle and right sides of the tunnel invert part.
[0008] Furthermore, the sensor groups are distributed axially symmetrically along the tunnel centerline.
[0009] Furthermore, the data collector is located at the bottom of the side wall on either side of the tunnel.
[0010] Furthermore, the data cable is laid along the secondary lining concrete surface of the monitored tunnel section.
[0011] Furthermore, the monitoring center includes a firewall, a core switch, a monitoring terminal, an application server, and a database server. The input end of the firewall is connected to the data acquisition instrument through the transmission network, the output end of the firewall is connected to the input end of the core switch, and the output end of the core switch is connected to the monitoring terminal, application server, and database server.
[0012] Furthermore, the monitoring terminal is also connected to mobile terminals configured for management personnel and technical personnel for communication.
[0013] Beneficial effects:
[0014] 1. This system forms a distributed real-time monitoring network for tunnel goaf stress by fixing sensor groups at multiple monitoring points within each monitored tunnel section. This avoids the defects of traditional monitoring methods and can meet the monitoring requirements for large-scale tunnel goaf stress, improving the accuracy of monitoring. It also has the advantages of stable performance and high sensitivity.
[0015] 2. The sensor groups at multiple monitoring points of this system use Internet of Things technology to transmit the collected data back to the back-end monitoring center through the transmission network. The monitoring center can automatically process the monitoring data, realize the automation and intelligentization of tunnel goaf stress monitoring, and promote the development of tunnel goaf safety management towards informationization and intelligence.
[0016] 3. This system uses earth pressure gauges, first steel bar gauges, second steel bar gauges and strain gauges to collect stress and strain between the tunnel surrounding rock and the primary support steel frame, on the inner and outer sides of the tunnel primary support steel frame, on the circumferential main reinforcement on the inner and outer sides of the tunnel secondary lining, and in the tunnel secondary lining concrete. Compared with previous technologies, the collected data is more multi-dimensional and can well replace traditional methods, improve the level of automation in the monitoring process, and have important economic and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 This is a principle block diagram of the utility model;
[0018] Figure 2 It is a schematic diagram of the monitoring points of each sensor group in the monitored tunnel section;
[0019] Figure 3 This is a schematic diagram of the arrangement positions of the sensors in a sensor group of the present invention. DETAILED DESCRIPTION
[0020] The present invention will be further described below with reference to the embodiments and accompanying drawings.
[0021] like Figure 1-Figure 3 As shown, a tunnel goaf area stress automatic monitoring system includes a monitoring device 10 and a monitoring center 30. The monitoring device 10 includes a sensor group 11 and a data acquisition device 12 fixed at multiple monitoring points in each monitored tunnel section. Each sensor group 11 includes an earth pressure gauge 11a, a first steel bar gauge 11b, a second steel bar gauge 11c and a strain gauge 11d. The earth pressure gauge 11a is arranged between the tunnel surrounding rock 40 and the primary support steel frame 50. The first steel bar gauge 11b is arranged on the inner and outer sides of the tunnel primary support steel frame 50. The second steel bar gauge 11c is arranged on the circumferential main reinforcement on the inner and outer sides of the tunnel secondary lining 60. The strain gauge 11d is arranged in the tunnel secondary lining concrete 70 between the second steel bar gauges 11c on both sides. The output ends of the earth pressure gauge 11a, the first steel bar gauge 11b, the second steel bar gauge 11c and the strain gauge 11d are all connected to the input end group of the data acquisition device 12 through a data cable 13, and the output end of the data acquisition device 12 is communicatively connected to the monitoring center 30 through a transmission network 20.
[0022] In this example, an earth pressure gauge 11a, a first steel bar gauge 11b, a second steel bar gauge 11c and a strain gauge 11d are used to collect stresses and strains between the tunnel surrounding rock 40 and the primary support steel frame 50, on the inner and outer sides of the tunnel primary support steel frame 50, on the circumferential main reinforcement on the inner and outer sides of the tunnel secondary lining 60, and in the tunnel secondary lining concrete 70. Compared with previous technologies, the collected data is more multidimensional and can well replace traditional methods, and can improve the level of automation in the monitoring process.
[0023] from Figure 1 It can also be seen that the monitoring center 30 includes a firewall, a core switch, a monitoring terminal, an application server, and a database server. The input end of the firewall is connected to the data acquisition instrument 12 through the transmission network 20, the output end of the firewall is connected to the input end of the core switch, and the output end of the core switch is connected to the monitoring terminal, application server, and database server.
[0024] The firewall is used to build a security barrier between the monitoring center 30 and the transmission network 20; the core switch is used to realize information interaction between the transmission network and the monitoring center; the monitoring terminal is used for user logout management and display of monitoring data; the application server is used to manage monitoring data and user authority management; the database server is used to realize data conversion, data graph processing, data storage and security level assessment of monitoring data.
[0025] Preferably, the monitoring terminal is also connected to mobile terminals configured for management personnel and technical personnel.
[0026] Based on the above-mentioned monitoring center 30, it is not only possible to automatically process the monitoring data, realize the automation and intelligence of tunnel goaf stress monitoring, and promote the development of tunnel goaf safety management towards informationization and intelligence; it is also possible to use the monitoring terminal and the mobile terminal configured for management personnel and technical personnel to communicate and connect to realize the sharing of monitoring data.
[0027] like Figure 2 As shown, eight sensor groups 11 are installed in each monitored tunnel section, three of which are located in the tunnel's vault, two of which are located in the tunnel's sidewalls, and the remaining three are located in the tunnel's invert. Specifically, three sensor groups 11 are located on the left, center, and right sides of the tunnel's vault, and three sensor groups 11 are located on the left, center, and right sides of the tunnel's invert. In this example, to better monitor stress, the eight sensor groups 11 are distributed axially symmetrically along the tunnel's centerline.
[0028] The eight sensor groups 11 distributed axially symmetrically along the center line of the tunnel can collect strain data at different positions around the tunnel, thereby ensuring the reliability of the collected data, thereby meeting the monitoring requirements for stress in a large range of tunnel goaf areas and improving the accuracy of stress monitoring in tunnel goaf areas.
[0029] from Figure 2 It can also be seen that the data collector 12 is located at the bottom of the side wall on either side of the tunnel, specifically in a pit beside the tunnel clear water ditch 80, so as to prevent the data collector 12 from malfunctioning due to water ingress.
[0030] from Figure 2 It can also be seen that in this example, the data cable 13 is laid along the surface of the secondary tunnel lining concrete 70 of the monitored tunnel section to reduce the difficulty of wiring.
[0031] Working principle:
[0032] The monitoring equipment 10 described in this system collects strain data at multiple monitoring points in each monitored tunnel section through multiple sensor groups 11; the multiple sensor groups 11 collect strain data and upload it to the data acquisition instrument 12 using the Internet of Things. The data acquisition instrument 12 centrally collects the strain data and uploads it to the monitoring center 30 through the operator network in the transmission network 20, thereby realizing automatic monitoring of stress in the tunnel goaf area.
[0033] To sum up, this system forms a distributed real-time monitoring network for tunnel goaf stress by fixing the sensor groups 11 at multiple monitoring points in each monitored tunnel section, avoiding the defects of traditional monitoring methods, and can meet the monitoring requirements for tunnel goaf stress in a large range, improving the accuracy of monitoring, and has the advantages of stable performance and high sensitivity; in addition, the sensor groups 11 at multiple monitoring points use Internet of Things technology to transmit the collected data back to the back-end monitoring center 30 through the transmission network, and the monitoring center 30 can automatically process the monitoring data, thereby realizing the automation and intelligence of tunnel goaf stress monitoring, and then promoting the development of tunnel goaf safety management towards informatization and intelligence.
[0034] Finally, it should be noted that the above description is only a preferred embodiment of the present invention. Under the guidance of the present invention, ordinary technicians in this field can make various similar expressions without violating the purpose and claims of the present invention. Such changes fall within the scope of protection of the present invention.
Claims
1. A tunnel goaf area stress automatic monitoring system, characterized in that: The invention comprises a monitoring device (10) and a monitoring center (30), wherein the monitoring device (10) comprises a sensor group (11) fixed at a plurality of monitoring points in each monitored tunnel section and a data acquisition device (12), wherein each sensor group (11) comprises an earth pressure gauge (11a), a first steel bar gauge (11b), a second steel bar gauge (11c) and a strain gauge (11d), wherein the earth pressure gauge (11a) is arranged between the tunnel surrounding rock (40) and the primary support steel frame (50), and the first steel bar gauge (11b) is arranged inside and outside the tunnel primary support steel frame (50). On both sides, the second reinforcement gauge (11c) is arranged on the annular main reinforcement on both sides of the inner and outer sides of the tunnel secondary lining (60), and the strain gauge (11d) is arranged in the tunnel secondary lining concrete (70) between the second reinforcement gauges (11c) on both sides. The output ends of the earth pressure gauge (11a), the first reinforcement gauge (11b), the second reinforcement gauge (11c) and the strain gauge (11d) are all connected to the input end group of the data acquisition instrument (12) through a data cable (13), and the output end of the data acquisition instrument (12) is connected to the monitoring center (30) through a transmission network (20).
2. The tunnel goaf area stress automatic monitoring system according to claim 1 is characterized in that: Eight sensor groups (11) are arranged in each monitored tunnel section, wherein three sensor groups (11) are arranged in the tunnel vault portion, two sensor groups (11) are arranged in the side walls on both sides of the tunnel, and the remaining three sensor groups (11) are arranged in the tunnel invert portion.
3. The tunnel goaf area stress automatic monitoring system according to claim 2 is characterized in that: The three sensor groups (11) are arranged on the left, middle and right sides of the tunnel vault part, and the three sensor groups (11) are arranged on the left, middle and right sides of the tunnel invert part.
4. The tunnel goaf area stress automatic monitoring system according to claim 2 is characterized in that: The sensor group (11) is distributed in an axisymmetric manner along the tunnel centerline.
5. The tunnel goaf area stress automatic monitoring system according to claim 1 is characterized in that: The data acquisition device (12) is located at the bottom of the side wall portion on either side of the tunnel.
6. The tunnel goaf area stress automatic monitoring system according to claim 1 is characterized in that: The data cable (13) is laid along the surface of the tunnel secondary lining concrete (70) of the monitored tunnel section.
7. The tunnel goaf area stress automatic monitoring system according to any one of claims 1 to 6, characterized in that: The monitoring center (30) includes a firewall, a core switch, a monitoring terminal, an application server, and a database server. The input end of the firewall is connected to the data acquisition instrument (12) through the transmission network (20), the output end of the firewall is connected to the input end of the core switch, and the output end of the core switch is connected to the monitoring terminal, the application server, and the database server.
8. The tunnel goaf area stress automatic monitoring system according to claim 7, characterized in that: The monitoring terminal is also connected to the mobile terminals configured for management personnel and technical personnel for communication.