Visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional space-time monitoring data

Abstract

The invention discloses a visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional space-time monitoring data, and relates to the technical field of tunnel safety, and the technical scheme is that a tunnel monitoring module is included, an information transmission module is arranged at the connection end of the tunnel monitoring module, and a cloud processing module is arranged at the connection end of the information transmission module; the connection end of the cloud processing module is provided with an information interaction module, and the connection end of the tunnel monitoring module is provided with an environment monitoring module, a deformation monitoring module, a pressure monitoring module and a video monitoring module. Therefore, the influence of external factors can be avoided, the accuracy of data is ensured, the variety of monitored instruments is more, the comprehensiveness of the data is ensured, the existing potential safety hazard is better avoided, and meanwhile, the field data can be immediately and preliminarily analyzed through the information transmission module.

Description

Technical Field

[0001] The present invention relates to the field of tunnel safety technology, and in particular to a visualized tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data. Background Art

[0002] Tunnels are engineering structures buried in the ground and are a form of human use of underground space. Tunnels can be divided into traffic tunnels, hydraulic tunnels, municipal tunnels, mining tunnels, and military tunnels. Regardless of the form of the tunnel, safety monitoring must be a top priority.

[0003] The existing safety monitoring of tunnels is generally carried out regularly by manual inspections. However, due to the large area of ​​the tunnel, a large number of manpower is required to carry out the inspections. This method will greatly increase the cost of labor and the labor intensity of labor. At the same time, safety cannot be guaranteed to a certain extent, and external factors have a great influence, so the accuracy and continuity of the data cannot be guaranteed. Summary of the invention

[0004] To this end, the present invention provides a visualized tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data, which solves the above-mentioned existing problems through the coordination of various structures.

[0005] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data, comprising a tunnel monitoring module, an information transmission module is provided at the connection end of the tunnel monitoring module, and a cloud processing module is provided at the connection end of the information transmission module;

[0006] The cloud processing module connection end is provided with an information interaction module, the tunnel monitoring module connection end is respectively provided with an environment monitoring module, a deformation monitoring module, a pressure monitoring module, a video monitoring module and an information indication module, the information transmission module connection end is provided with an intelligent acquisition module, the intelligent acquisition module connection end is provided with a data collection module, the data collection module connection end is provided with a calculation module, the calculation module connection end is provided with a data transmission module, and the cloud processing module connection end is provided with a data storage module.

[0007] Preferably, the connection ends of the environmental monitoring module are respectively provided with a temperature monitoring module, a humidity monitoring module, a wind speed monitoring module and a gas monitoring module.

[0008] Preferably, the connection ends of the deformation monitoring module are respectively provided with a surface settlement monitoring module, a displacement monitoring module, a crack monitoring module and an inner top subsidence monitoring module.

[0009] Preferably, the connection ends of the pressure monitoring module are respectively provided with a water level monitoring module, a seepage pressure monitoring module, a soil pressure monitoring module, a stress monitoring module and an axial force monitoring module.

[0010] Preferably, the intelligent acquisition module connection end is provided with a power supply energy module, and the data transmission module connection end is provided with a data encryption module.

[0011] Preferably, the computing module connection end is provided with an on-site early warning module.

[0012] Preferably, the data storage module connection end is provided with a data analysis module, the data analysis module connection end is provided with a data forwarding module, and the data forwarding module connection end is provided with a data protection module.

[0013] Preferably, the information interaction module connection end is respectively provided with a mobile terminal monitoring module, a real-time monitoring module, an early warning setting module and a visualization system module.

[0014] Preferably, an alarm module is provided at the connection end of the early warning setting module.

[0015] Preferably, the specific steps are as follows:

[0016] S1: Real-time tunnel monitoring: various monitoring instruments installed in the tunnel are used to monitor the tunnel's safety in real time. When the instrument detects changes in normal values, it transmits abnormal signals to the information collection device.

[0017] S2: Data transmission and on-site warning. When the information collection equipment collects the key data transmitted by each sensor, it will immediately store and perform preliminary analysis and calculation. When the result of the analysis and calculation is abnormal, the sound and light warning device on site will be immediately activated. At the same time, the analysis and calculation data will be transmitted to the cloud processor through a wireless network or a wired network. At the same time, the data encryption system will also encrypt and protect the data.

[0018] S3: Cloud information preparation. After receiving the data, the cloud processor immediately stores the data and conducts a deeper analysis of the data. It integrates the analyzed data and transmits it to the remote display device through the network again so that the staff can directly observe it.

[0019] S4: Manual intervention and alarm. The staff who receive the abnormal warning quickly observe the situation in the tunnel through the surveillance video in the tunnel through the computer and mobile phone, and make timely responses by observing the data chart of data analysis. When the set warning value is exceeded, the alarm will be automatically processed to deal with the problems in the tunnel in time.

[0020] The beneficial effects of the present invention are:

[0021] 1. The present invention performs real-time detection of tunnel safety through various monitoring instruments installed in the tunnel in the tunnel monitoring module, thereby avoiding the influence of external factors and ensuring the accuracy of data. At the same time, there are many types of monitoring instruments, thereby ensuring the comprehensiveness of data, which can better avoid the existing safety hazards. At the same time, the information transmission module can not only immediately perform preliminary analysis of the on-site data, but also immediately perform early warning processing and transmit key data;

[0022] 2. The present invention can store key data and immediately conduct in-depth analysis on it through the cloud processing module, and immediately draw key data graphs with the analyzed data, and transmit them to the remote device, so as to display the data to the staff through the information interaction module. At the same time, the remote device will also alarm immediately according to the set warning value when changes occur, reminding the staff. At the same time, the staff can also observe and process on the computer and mobile phone. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of the overall structure provided by the present invention;

[0024] Figure 2 A structural diagram of a tunnel monitoring module provided by the present invention;

[0025] Figure 3 The information transmission module structure diagram provided by the present invention;

[0026] Figure 4 A structural diagram of the cloud processing module provided by the present invention;

[0027] Figure 5 The information interaction module structure diagram provided by the present invention;

[0028] Figure 6 The module interface diagram of the visualization system provided by the present invention;

[0029] In the figure: 1 tunnel monitoring module, 2 information transmission module, 3 cloud processing module, 4 information interaction module, 5 environment monitoring module, 6 deformation monitoring module, 7 pressure monitoring module, 8 video monitoring module, 9 intelligent acquisition module, 10 data collection module, 11 calculation module, 12 data transmission module, 13 data storage module, 14 temperature monitoring module, 15 humidity monitoring module, 16 wind speed monitoring module, 17 gas monitoring module, 18 surface settlement monitoring module, 19 displacement monitoring module, 20 crack monitoring module, 21 inner top settlement monitoring module, 22 water level monitoring module, 23 seepage pressure monitoring module, 24 soil pressure monitoring module, 25 stress monitoring module, 26 axial force monitoring module, 27 power supply energy module, 28 data encryption module, 29 on-site early warning module, 30 data analysis module, 31 data forwarding module, 32 data protection module, 33 mobile terminal monitoring module, 34 real-time monitoring module, 35 early warning setting module, 36 alarm module, 37 visualization system module, 38 information indication module. DETAILED DESCRIPTION

[0030] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0031] See attached Figure 1 - Attachment Figure 6 The visualized tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data provided by the present invention comprises a tunnel monitoring module 1, an information transmission module 2 is provided at the connection end of the tunnel monitoring module 1, and a cloud processing module 3 is provided at the connection end of the information transmission module 2;

[0032] The cloud processing module 3 is provided with an information interaction module 4 at the connection end, the tunnel monitoring module 1 is provided with an environment monitoring module 5, a deformation monitoring module 6, a pressure monitoring module 7, a video monitoring module 8 and an information indication module 38 at the connection end, the information transmission module 2 is provided with an intelligent acquisition module 9 at the connection end, the intelligent acquisition module 9 is provided with a data collection module 10 at the connection end, the data collection module 10 is provided with a calculation module 11 at the connection end, the calculation module 11 is provided with a data transmission module 12 at the connection end, and the cloud processing module 3 is provided with a data storage module 13 at the connection end;

[0033] In this embodiment, the setting of the tunnel monitoring module 1 in the present invention can monitor the data in the tunnel in real time through a variety of instruments, and the information transmission module 2 can immediately collect, analyze and transmit the transmitted data, and perform sound and light warning on the spot, and the cloud processing module 3 can quickly analyze the key data in depth and send the data graph to the information interaction module 4, so that the staff can quickly process it. The video monitoring module refers to the on-site monitoring probe, the cloud processing module 3 refers to the entire information processing base station, the data storage module 13 refers to the data storage device, and the information indication module can display key data such as weather and environmental information through an electronic display screen;

[0034] Among them, in order to achieve the purpose of monitoring the data of the tunnel, the present device adopts the following technical solutions: the connection ends of the environmental monitoring module 5 are respectively provided with a temperature monitoring module 14, a humidity monitoring module 15, a wind speed monitoring module 16 and a gas monitoring module 17, the connection ends of the deformation monitoring module 6 are respectively provided with a surface settlement monitoring module 18, a displacement monitoring module 19, a crack monitoring module 20 and an inner top sinking monitoring module 21, the connection ends of the pressure monitoring module 7 are respectively provided with a water level monitoring module 22, a seepage pressure monitoring module 23, a soil pressure monitoring module 24, a stress monitoring module 25 and an axial force monitoring module 26, the temperature monitoring module 14 in the environmental monitoring module 5 refers to the temperature Sensors, humidity monitoring module 15 refers to a humidity sensor, wind speed monitoring module 16 refers to a wind speed sensor, gas monitoring module 17 refers to an odor monitor, surface settlement monitoring module 18 in deformation monitoring module 6 refers to a surface settlement monitor, displacement monitoring module 19 refers to a displacement sensor, crack monitoring module 20 refers to a crack monitoring sensor, inner top subsidence monitoring module 21 refers to a settlement sensor, water level monitoring module 22 in pressure monitoring module 7 refers to a water level monitor, seepage pressure monitoring module 23 refers to an optical fiber seepage pressure meter, soil pressure monitoring module 24 refers to a soil pressure sensor, stress monitoring module 25 refers to a stress sensor, and axial force monitoring module 26 refers to an axial force sensor;

[0035] Among them, in order to achieve the purpose of on-site early warning, the present device is implemented by the following technical solutions: a power supply energy module 27 is provided at the connection end of the intelligent acquisition module 9, a data encryption module 28 is provided at the connection end of the data transmission module 12, a field early warning module 29 is provided at the connection end of the calculation module 11, a data analysis module 30 is provided at the connection end of the data storage module 13, a data forwarding module 31 is provided at the connection end of the data analysis module 30, and a data protection module 32 is provided at the connection end of the data forwarding module 31. The power supply energy module 27 refers to a solar panel, the data collection module refers to a storage chip, and the calculation module 11 contains an editable chip, which is convenient for setting and editing the pre-safety value. The data transmission module 12 refers to a wired network, the field early warning module 29 refers to an audible and visual alarm, the data analysis module 30 contains a programmable PLC and is compared with the set safety value and drawn into a data graph, and the data forwarding module 31 refers to a 4G / 5G wireless network;

[0036] Among them, in order to achieve the purpose of allowing the staff to handle it immediately, the present device is implemented by the following technical solutions: the connection ends of the information interaction module 4 are respectively provided with a mobile monitoring module 33, a real-time monitoring module 34, an early warning setting module 35 and a visualization system module 37, the connection end of the early warning setting module 35 is provided with an alarm module 36, the mobile monitoring module 33 refers to the mobile phone and the laptop computer, the real-time monitoring module 34 refers to the display that displays the pictures taken by the monitoring probe in the tunnel, the early warning setting module 35 contains an editable chip, which is convenient for editing the early warning threshold, the alarm module 36 contains an edited programmable PLC, and when a change in the early warning value is received, a reminder instruction will be issued to the tunnel supervisor and manager, and the visualization system module 37 refers to a display system that displays the data graph generated in the analysis module.

[0037] The specific steps are as follows:

[0038] S1: Real-time tunnel monitoring: various monitoring instruments installed in the tunnel are used to monitor the tunnel's safety in real time. When the instrument detects changes in normal values, it transmits abnormal signals to the information collection device.

[0039] S2: Data transmission and on-site warning. When the information collection equipment collects the key data transmitted by each sensor, it will immediately store and perform preliminary analysis and calculation. When the result of the analysis and calculation is abnormal, the sound and light warning device on site will be immediately activated. At the same time, the analysis and calculation data will be transmitted to the cloud processor through a wireless network or a wired network. At the same time, the data encryption system will also encrypt and protect the data.

[0040] S3: Cloud information preparation. After receiving the data, the cloud processor immediately stores the data and conducts a deeper analysis of the data. It integrates the analyzed data and transmits it to the remote display device through the network again so that the staff can directly observe it.

[0041] S4: Manual intervention and alarm. The staff who receive the abnormal warning quickly observe the situation in the tunnel through the surveillance video in the tunnel through the computer and mobile phone, and make timely responses by observing the data chart of data analysis. When the set warning value is exceeded, the alarm will be automatically processed to deal with the problems in the tunnel in time.

[0042] The use process of the present invention is as follows: first, the environment monitoring module 5, deformation monitoring module 6 and pressure monitoring module 7 in the tunnel monitoring module 1 can monitor the tunnel in real time through other connected different data monitoring instruments, and the information indication module can display key data such as weather and environmental information to the driver, and then transmit the monitored data to the information transmission module 2. The intelligent acquisition module 9 in the information transmission module 2 can collect abnormal data and transmit it to the data collection module 10. At the same time, the calculation module 11 works to perform preliminary analysis on the data and control the on-site early warning module 29 to start the on-site sound and light early warning device for warning processing. At the same time, the data will also be transmitted through the data transmission. Module 12 is uploaded to the cloud processing module 3. After receiving the data, the cloud processing module 3 immediately stores it and conducts a deeper analysis. At the same time, the key data is sent to the information interaction module 4 through the data forwarding module 31. The real-time monitoring module 34 in the information interaction module 4 can penetrate the on-site status through the video monitoring module, and display the data information to the staff through the visualization system module 37. When the data value is different from the safety value set in the early warning setting module 35, the alarm module 36 will be immediately activated, and the alarm module 36 will immediately notify the management personnel and maintenance personnel. At the same time, the staff can also monitor the data and on-site video through the mobile monitoring module 33.

[0043] The above is only a preferred embodiment of the present invention. Any person skilled in the art may modify the present invention by using the above technical solution or modify it into an equivalent technical solution. Therefore, any simple modification or equivalent replacement made according to the technical solution of the present invention shall fall within the scope of protection claimed by the present invention.

Claims

1. A visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data, comprising a tunnel monitoring module (1), characterized in that: The tunnel monitoring module (1) is provided with an information transmission module (2) at a connection end, and the information transmission module (2) is provided with a cloud processing module (3) at a connection end; The cloud processing module (3) is provided with an information interaction module (4) at a connection end, the tunnel monitoring module (1) is provided with an environment monitoring module (5), a deformation monitoring module (6), a pressure monitoring module (7), a video monitoring module (8) and an information indication module (38) at a connection end, the information transmission module (2) is provided with an intelligent acquisition module (9) at a connection end, the intelligent acquisition module (9) is provided with a data collection module (10) at a connection end, the data collection module (10) is provided with a calculation module (11) at a connection end, the calculation module (11) is provided with a data transmission module (12) at a connection end, and the cloud processing module (3) is provided with a data storage module (13) at a connection end.

2. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 1 is characterized by: The connection ends of the environment monitoring module (5) are respectively provided with a temperature monitoring module (14), a humidity monitoring module (15), a wind speed monitoring module (16) and a gas monitoring module (17).

3. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 1 is characterized by: The connection ends of the deformation monitoring module (6) are respectively provided with a surface settlement monitoring module (18), a displacement monitoring module (19), a crack monitoring module (20) and an inner top subsidence monitoring module (21).

4. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 1 is characterized by: The connection ends of the pressure monitoring module (7) are respectively provided with a water level monitoring module (22), a seepage pressure monitoring module (23), a soil pressure monitoring module (24), a stress monitoring module (25) and an axial force monitoring module (26).

5. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 1 is characterized by: The connection end of the intelligent acquisition module (9) is provided with a power supply energy module (27), and the connection end of the data transmission module (12) is provided with a data encryption module (28).

6. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 5 is characterized by: The connection end of the calculation module (11) is provided with an on-site early warning module (29).

7. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 1 is characterized by: The data storage module (13) is provided with a data analysis module (30) at a connection end, the data analysis module (30) is provided with a data forwarding module (31) at a connection end, and the data forwarding module (31) is provided with a data protection module (32) at a connection end.

8. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 1 is characterized by: The connection end of the information interaction module (4) is respectively provided with a mobile terminal monitoring module (33), a real-time monitoring module (34), an early warning setting module (35) and a visualization system module (37).

9. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 8 is characterized by: An alarm module (36) is provided at the connection end of the early warning setting module (35).

10. The visual tunnel dynamic safety intelligent monitoring and early warning method based on multi-dimensional spatiotemporal monitoring data according to claim 1 is characterized by: The specific steps are as follows: S1: Real-time tunnel monitoring: various monitoring instruments installed in the tunnel are used to monitor the tunnel's safety in real time. When the instrument detects changes in normal values, it transmits abnormal signals to the information collection device. S2: Data transmission and on-site warning. When the information collection equipment collects the key data transmitted by each sensor, it will immediately store and perform preliminary analysis and calculation. When the result of the analysis and calculation is abnormal, the sound and light warning device on site will be immediately activated. At the same time, the analysis and calculation data will be transmitted to the cloud processor through a wireless network or a wired network. At the same time, the data encryption system will also encrypt and protect the data. S3: Cloud information preparation. After receiving the data, the cloud processor immediately stores the data and conducts a deeper analysis of the data. It integrates the analyzed data and transmits it to the remote display device through the network again so that the staff can directly observe it. S4: Manual intervention and alarm. The staff who receive the abnormal warning quickly observe the situation in the tunnel through the surveillance video in the tunnel through the computer and mobile phone, and make timely responses by observing the data chart of data analysis. When the set warning value is exceeded, the alarm will be automatically processed to deal with the problems in the tunnel in time.

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