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Environmental monitoring system for underground vehicle passage

Environmental monitoring system for underground vehicle passage

2020-07-30 16:41
The environmental monitoring system of underground vehicle passage is a comprehensive management and control system composed of embedded technology, database technology, optical fiber communication technology, linkage control technology, and optical fiber grating sensing technology. The system provides automated, intelligent and high-efficiency management control methods based on sensor linkage technology, big data technology, and Internet + technology, based on a centralized management and monitoring model. The system is mainly composed of monitoring platform management subsystem, harmful gas monitoring subsystem, air quality monitoring subsystem, fiber grating tunnel health monitoring subsystem, lighting linkage subsystem, fan linkage subsystem and data display subsystem.
 
The system structure is shown in Figure 1:

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1. Monitoring platform management subsystem
 
11. Brief introduction
 
The monitoring platform management subsystem is composed of a data processing server, a data storage server and a mobile terminal. The schematic structure is shown in Figure 2:

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(1) The data processing server adopts a standard C/S architecture and multiplexed IO model to ensure that it can receive and process front-end data in real time, accurately and completely.
 
(2) The data storage server uses high-speed disk arrays and traditional relational databases, which can store original data for more than 24 months, which is convenient for retrospective query or long-term trend analysis.
 
(3) The mobile terminal APP software includes Android and IOS versions, which are mainly used for real-time data query and emergency alarm.
 
2 2. Main functions of the platform
 
(1) Historical data query
 
The platform automatically saves various data within 24 months and provides a query interface to enable users to easily trace historical data.
 
(2) Statistical analysis of data
 
The platform integrates geographic information system (GIS) with data. Based on maps, with the help of GIS's powerful graphic integrated analysis and performance capabilities, it can visually display the distribution and monitoring values ​​of harmful gases, air quality, and fire detection temperature, and Realize its distribution and other space-related information queries. At the same time, it also provides overall data statistical analysis based on space and time, providing strong support for decision-making analysis and information query of managers.
 
(3) Equipment remote linkage management
 
The platform supports remote management and control of lighting and fans, which is convenient for managers to respond to problems immediately, save manpower and material resources, and reduce potential safety hazards.
 
(4) Hierarchical management of user rights
 
The platform adopts a hierarchical and hierarchical permission design scheme, and users have different roles, corresponding to different platform operation permissions, such as management, control, and viewing. Ensure the security and versatility of the platform.
 
(5) Abnormal alarm
 
In the event of an abnormal situation, the platform uses sound and light to give an alarm to remind the monitoring personnel to deal with the abnormality in time to ensure that the problem is discovered and resolved in the first time.
 
2. Harmful gas monitoring subsystem
 
1. The harmful gas monitoring subsystem is mainly used to monitor harmful gases such as hydrocarbons, nitrogen oxides, carbon monoxide, sulfur dioxide, and lead compounds caused by automobile exhaust. The system transmits the detected harmful gas data to the monitoring platform in real time, and the monitoring platform judges whether to perform fan linkage and whether to alarm through the mobile terminal according to the results of the big data logic operation.
 
2. The system consists of a power supply module, a transmission module and a detection module. The power supply module provides power for the entire subsystem; the transmission module uses optical cables for data transmission; the detection module mainly performs harmful gas detection and logical operations.
 
3. The detection module is mainly composed of a harmful gas detection unit, a main control unit, a transmission unit and an alarm unit. The structure is shown in Figure 3
 

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3. Air quality monitoring subsystem
 
1. The air quality monitoring subsystem is mainly used for real-time monitoring of multiple air quality parameters such as TSP, PM2.5, PM10, wind speed, wind force, and wind direction. The system transmits the detected air quality parameters to the monitoring platform in real time. The monitoring platform judges whether to perform fan linkage and whether to alarm through the mobile terminal according to the results of the big data logic operation.
 
2. The system consists of a power supply module, a transmission module and a detection module. The power supply module provides power for the entire subsystem; the transmission module uses optical cables for data transmission; the detection module mainly performs air quality parameter detection and logical operations.
 
3. The detection module is mainly composed of air quality detection unit, main control unit, transmission unit and alarm unit. The structure is shown in Figure 5:

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4. The air quality detection unit is mainly composed of PM transmitter and ultrasonic anemometer. The function and measurement range of each sensor are shown in Figure 6:

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5. The air quality detection module is installed in the underground vehicle passage, one set every 300 meters, and the system installation diagram is shown in Figure 7:

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IV. Fiber Bragg Grating Tunnel Health Monitoring Subsystem
 
1. The fiber grating tunnel health monitoring subsystem is mainly used to monitor the health status of the underground vehicle passage in real time, including the deformation of the tunnel caused by the settlement of the structure, and the real-time temperature at different locations. The system transmits the detected data to the monitoring platform in real time, and the monitoring platform provides assessments of the tunnel operation status, project service life and structural status during the operation period based on the results of big data logic operations. Discover possible damage and quality degradation of the tunnel in time to ensure structural safety.
 
2. The system consists of a power supply module, a transmission module and a detection module. The power supply module provides power for the entire subsystem; the transmission module uses optical cables for data transmission; the detection module mainly performs segmented health detection and logical operations.
 
3. The detection module is mainly composed of fiber grating temperature sensor, fiber grating stress sensor and fiber grating health detector. Figure 8 shows the sensor and detector parameters

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4. The fiber grating health detector is installed on the monitoring platform, and the fiber grating temperature and stress sensors are installed in the channel, one every 50 meters. The system installation diagram is shown in Figure 9:

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Five, lighting linkage subsystem
 
1. The lighting linkage subsystem mainly uses the illuminance sensor to collect the light intensity, and transmits the lighting data to the monitoring platform through the optical cable. The monitoring platform automatically judges whether to turn on/off the lighting system according to the result of the big data logic operation (turn on/off through the distribution box controller Power supply).
 
2. The lighting linkage subsystem is mainly composed of a power supply module, a transmission module and a detection control module. The power supply module provides power for the entire subsystem; the transmission module uses optical cables for data transmission; the detection control module mainly performs light intensity detection, logical operations and controls to turn on/off the power of the distribution box.
 
3. The detection control module is mainly composed of illuminance sensor, distribution box controller, main control unit and transmission unit. The structure is shown in Figure 10

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4. The illuminance sensor is installed in the underground vehicle passage, one set every 500 meters, and the distribution box controller is installed in the distribution box. The system installation diagram is shown in Figure 11:
 

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Sixth, fan linkage subsystem
 
1. The fan linkage subsystem mainly relies on the big data of the monitoring platform. According to the thresholds for harmful gases, air quality and health detection, the monitoring platform automatically turns on/off the fans to improve efficiency, reduce potential safety hazards, and save energy.
 
2. The fan linkage subsystem is mainly composed of power supply module, transmission module and control module. The power supply module provides power for the entire subsystem; the transmission module uses optical cables for data transmission; the control module mainly controls turning on/off the fan.
 
3. The control module is mainly composed of a fan controller, a main control unit and a transmission unit. The structure is shown in Figure 12:

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4. The fan control module is installed at the fan power supply. The system installation diagram is shown in Figure 13

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Seven, data display subsystem
 
1. The data display subsystem is mainly used to receive and display the real-time test harmful gas, air quality and tunnel health detection data from the monitoring platform.
 
2. The data display subsystem is mainly composed of power supply module, transmission module and display module. The power supply module provides power for the entire subsystem; the transmission module uses optical cables for data transmission; the display module is mainly used to display various real-time test data.
 
3. The display module is mainly composed of an all-outdoor surface mount LED screen, a main control unit and a transmission unit. The structure is shown in Figure 14:

4. The display module is installed at the entrance of the underground passage. The system installation diagram is shown in Figure 15:

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