Distributed underground structure safety monitoring system

Abstract

The invention belongs to the technical field of underground structure monitoring, and discloses a distributed underground structure safety monitoring system which comprises a distributed sensor network, a data processing center, data transmission, a panoramic camera, an AR / VR platform, image processing, a user terminal and sensor node comprehensive monitoring. Big data analysis and alarm are supported, a panoramic camera is combined with an AR / VR technology to provide immersive monitoring, efficient data transmission of a system and convenient interaction of a user terminal, multiple report formats and alarm notification modes are supported, sensor data are converted into visual images / videos through image processing and analysis, and three-dimensional visualization of an underground structure is achieved in combination with AR / VR. And moreover, an image recognition algorithm accurately recognizes abnormities, automatically compares safety standards, gives an alarm when finding hidden dangers, and pushes the hidden dangers to monitoring personnel in real time, so that quick response is assisted, and situation deterioration is prevented.

Description

Technical Field

[0001] The invention belongs to the technical field of underground structure monitoring, and in particular relates to a distributed underground structure safety monitoring system. Background Art

[0002] With the rapid advancement of global urbanization, the development and utilization of underground space has become an important way to ease the shortage of urban land resources and improve the urban environment. However, underground structures face many safety hazards due to their concealment, complexity and long-term nature. Underground structures such as subway tunnels, water conservancy dams, mine tunnels, underground pipe galleries, etc. are prone to structural damage, deformation, water seepage, geological disasters, etc. under complex geological conditions and changing environments. These problems not only affect the normal use of underground structures, but may also pose a serious threat to people's lives and property safety.

[0003] Traditional underground structure safety monitoring methods mainly rely on manual inspections and single-point monitoring technology. Although manual inspections are intuitive, they have problems such as low efficiency, high cost, and difficulty in comprehensive coverage; single-point monitoring technology can often only monitor the status of local areas and is difficult to reflect the overall status of the entire underground structure. In addition, traditional monitoring methods also have many shortcomings in data collection, transmission, and processing, such as discontinuous data collection, poor real-time performance, and limited data processing capabilities, which make it difficult to meet the high requirements of modern underground structure safety monitoring. Summary of the invention

[0004] The purpose of the present invention is to provide a distributed underground structure safety monitoring system to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a distributed underground structure safety monitoring system, comprising:

[0006] Distributed sensor network, consisting of multiple sensor nodes, each node is equipped with stress and strain sensors, displacement sensors, osmometers, vibration sensors, and temperature and humidity sensors to collect physical parameters of underground structures;

[0007] The data processing center includes a data receiving and preprocessing module, a big data analysis and anomaly detection module, an alarm and emergency response module, a data visualization and report generation module, and a data backup and recovery module, which are used to receive, process, analyze and display monitoring data, and generate corresponding alarm information and reports;

[0008] The data transmission subsystem uses low-power wide area network technology or WiFi / Zigbee short-range wireless communication technology to transmit data between sensor nodes and the data processing center;

[0009] A panoramic monitoring camera network, consisting of multiple panoramic monitoring cameras, each with a 360-degree panoramic field of view, is used to capture and transmit high-definition video streams of the monitoring site in real time;

[0010] AR / VR integrated platform, consisting of AR equipment and VR equipment. The AR equipment is used to overlay monitoring data or simulate emergency situations in real scenes, and the VR equipment is used to simulate a three-dimensional virtual environment of underground structures for personnel to conduct all-round inspections;

[0011] The image processing and analysis module is integrated in the data processing center. The image processing and analysis module is used to receive the video stream of the panoramic monitoring camera, automatically analyze the video content through the image processing algorithm, identify abnormal events, and automatically capture and save pictures before and after the abnormality occurs when an abnormality is detected;

[0012] The user terminal provides an interactive interface between the user and the monitoring system for viewing monitoring data, receiving alarm notifications and performing remote monitoring.

[0013] Preferably, each of the sensor nodes comprises:

[0014] A data acquisition unit for collecting physical parameters of underground structures in real time;

[0015] A preliminary processing unit performs preliminary processing on the collected raw data;

[0016] A low power management unit controls the working state of the node according to a preset energy-saving strategy;

[0017] The wireless communication unit sends the processed data to the data transmission subsystem based on wireless communication technology.

[0018] Preferably, the alarm and emergency response module includes:

[0019] An alarm information generation unit automatically generates alarm information according to anomaly detection results;

[0020] An alarm notification channel configuration unit is used to configure a communication channel;

[0021] The emergency response plan library stores emergency handling processes for different types of anomalies, which the system can automatically call when an anomaly is detected.

[0022] Preferably, the big data analysis and anomaly detection module includes:

[0023] Data cleaning unit, used to remove outliers and redundant information in the data;

[0024] Data mining unit, which conducts in-depth mining of cleaned data based on machine learning models to identify abnormal patterns and predict potential safety hazards;

[0025] The threshold setting unit sets alarm thresholds for different types of physical parameters according to the design specifications and historical data of the underground structure.

[0026] Preferably, the data visualization and report generation module includes:

[0027] Visual interaction unit, used for custom query, display of monitoring data, analysis results, alarm information and emergency response status;

[0028] The report generation unit is used to generate a monitoring report in a preset format.

[0029] Preferably, the preset format includes Excel, PDF or Word.

[0030] Preferably, the communication channels include text messages, emails, and APP push.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The present invention can convert the raw data collected by the sensor into intuitive images or video forms through the image processing and analysis module, and superimpose these images or videos on the virtual model of the underground structure through AR / VR technology to achieve three-dimensional visualization. This enables monitoring personnel to understand the real-time status of the underground structure more intuitively and improve monitoring efficiency. Based on VR technology, monitoring personnel can view the underground structure "immersively" as if they were in a real monitoring environment. This immersive experience helps monitoring personnel to more accurately judge the safety status of the underground structure. Through the image processing and analysis module, advanced image recognition algorithms can accurately identify abnormal areas or potential hidden dangers in the underground structure. It can automatically extract key features in the image and compare them with preset safety standards to discover potential safety problems. When abnormal conditions are found, the image processing and analysis module can quickly generate alarm information and push it to the monitoring personnel in real time through the AR / VR integrated platform. This helps monitoring personnel to respond in time and take measures to prevent the situation from further deteriorating. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a structural block diagram of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] See also Figure 1 As shown, the present invention provides the following technical solutions:

[0036] A distributed underground structure safety monitoring system, comprising:

[0037] The distributed sensor network consists of multiple sensor nodes. Each node is equipped with a stress and strain sensor, a displacement sensor, a piezometer, a vibration sensor, and a temperature and humidity sensor to collect the physical parameters of the underground structure. Each sensor node includes:

[0038] A data acquisition unit for collecting physical parameters of underground structures in real time;

[0039] The preliminary processing unit performs preliminary processing on the collected raw data, including filtering and denoising;

[0040] A low power management unit controls the working state of the node according to a preset energy-saving strategy;

[0041] A wireless communication unit, which sends the processed data to the data transmission subsystem based on wireless communication technology;

[0042] The data processing center includes a data receiving and preprocessing module, a big data analysis and anomaly detection module, an alarm and emergency response module, a data visualization and report generation module, and a data backup and recovery module. It is used to receive, process, analyze and display monitoring data, and generate corresponding alarm information and reports. The alarm and emergency response module includes:

[0043] An alarm information generation unit automatically generates alarm information according to the abnormality detection result, and the alarm information includes the abnormality type, location, and time;

[0044] Alarm notification channel configuration unit, used to configure communication channels, including SMS, email, and APP push;

[0045] The emergency response plan library stores emergency response procedures for different types of anomalies, which are automatically called by the system when an anomaly is detected;

[0046] The big data analysis and anomaly detection modules include:

[0047] Data cleaning unit, used to remove outliers and redundant information in the data;

[0048] Data mining unit, which conducts in-depth mining of cleaned data based on machine learning models to identify abnormal patterns and predict potential safety hazards;

[0049] The threshold setting unit sets alarm thresholds for different types of physical parameters according to the design specifications and historical data of the underground structure.

[0050] The data transmission subsystem uses low-power wide area network technology or WiFi / Zigbee short-range wireless communication technology to transmit data between sensor nodes and the data processing center;

[0051] A panoramic monitoring camera network, consisting of multiple panoramic monitoring cameras, each with a 360-degree panoramic field of view, is used to capture and transmit high-definition video streams of the monitoring site in real time;

[0052] AR / VR integrated platform, consisting of AR devices and VR devices. AR devices are used to overlay monitoring data or simulate emergency situations in real scenes, while VR devices are used to simulate a three-dimensional virtual environment of underground structures for personnel to conduct all-round inspections.

[0053] Image processing and analysis module, integrated in the data processing center, is used to receive the video stream from the panoramic monitoring camera, and automatically analyze the video content through image processing algorithms to identify abnormal events, such as cracks and water seepage, and automatically capture and save pictures before and after the abnormality is detected;

[0054] The user terminal provides an interactive interface between the user and the monitoring system for viewing monitoring data, receiving alarm notifications and performing remote monitoring.

[0055] In addition, in the present invention, the data visualization and report generation module includes:

[0056] Visual interaction unit, used for custom query, display of monitoring data, analysis results, alarm information and emergency response status;

[0057] The report generation unit is used to generate a monitoring report in a preset format, where the preset format includes Excel, PDF or Word.

[0058] Example 2

[0059] In order to ensure the normal operation of urban subways, it is necessary to monitor urban subway tunnels. Traditional monitoring methods are mostly manual inspections. In order to improve inspection efficiency, the system is deployed in urban subway tunnels to monitor the safety status of tunnel structures in real time and prevent structural damage and safety accidents.

[0060] Implementation details:

[0061] Sensor network deployment: Sensor nodes are installed along the tunnel wall at regular intervals, such as 50 meters. Each node contains a stress and strain sensor, a displacement sensor, a piezometer, a vibration sensor, and a temperature and humidity sensor to comprehensively monitor changes in the tunnel's physical parameters.

[0062] Data processing center setup: A data processing center is set up in the subway operation control center to integrate all data processing, analysis and display functions. High-performance servers are used to ensure the efficiency and real-time performance of data processing.

[0063] Data transmission: Use low-power wide area network technology (such as LoRa) to achieve long-distance data transmission between sensor nodes and data processing centers to ensure data continuity and stability.

[0064] Panoramic monitoring: Panoramic monitoring cameras are installed at the tunnel entrance and key nodes, and the video stream is transmitted to the data processing center via the Wi-Fi / Zigbee network to monitor the situation in the tunnel in real time.

[0065] AR / VR applications: AR devices are used to overlay real-time monitoring data at the tunnel entrance, allowing inspectors to quickly understand the tunnel status; VR devices are used to simulate the three-dimensional environment inside the tunnel, allowing engineers to conduct virtual inspections and troubleshooting.

[0066] Emergency response: Once an abnormality is detected (such as excessive displacement, water seepage, etc.), the system immediately generates an alarm message, notifies relevant personnel via SMS, email and APP push, and automatically calls the emergency response plan.

[0067] Example 3

[0068] In order to ensure the normal operation of the hydropower dam, it is necessary to monitor the underground of the hydropower dam. Therefore, the system is deployed on large hydropower dams to monitor the structural safety, seepage conditions and environmental changes of the dam to ensure the safe operation of the dam.

[0069] Implementation details:

[0070] Sensor network layout: Install sensor nodes at key locations such as the water-facing side, back-water side and dam foundation of the dam, focusing on monitoring parameters such as seepage pressure, displacement, stress, temperature and humidity.

[0071] Data transmission and backup: Adopting the hybrid networking mode of optical fiber communication and WiFi to ensure the stability and security of data transmission. At the same time, a data backup and recovery module is set up in the data processing center to regularly back up monitoring data to prevent data loss.

[0072] Panoramic monitoring and anomaly detection: Panoramic monitoring cameras are set up on the top of the dam and in key areas. Combined with image processing and analysis modules, they can automatically identify abnormal events such as cracks and water seepage, and automatically save abnormal video clips.

[0073] Data analysis and early warning: Use the big data analysis module to conduct in-depth mining of monitoring data and predict possible safety hazards of the dam. According to historical data and design specifications, set reasonable alarm thresholds, and immediately trigger the early warning mechanism once the threshold is exceeded.

[0074] User terminal interaction: allows dam managers and technicians to remotely view monitoring data, receive alarm notifications, and conduct emergency commands.

[0075] Example 4

[0076] In order to conduct safety monitoring of underground pipeline corridors, the system is deployed in urban underground pipeline corridors to monitor pipeline structure safety, environmental conditions and potential risks, and ensure the normal operation of urban infrastructure.

[0077] Implementation details:

[0078] Customized sensor nodes: Customized dedicated sensor nodes are based on the monitoring requirements of different pipelines in the pipeline corridor (such as water supply, drainage, gas, etc.), including pressure, flow, temperature and other sensors for specific media.

[0079] Wireless networking solution: Considering the possible signal shielding problem in the tunnel, low-power and high-penetration wireless communication technologies such as Zigbee or NB-I oT are used to build a stable sensor network.

[0080] Environmental monitoring and early warning: Through temperature and humidity sensors, gas concentration sensors, etc., the environmental conditions in the pipeline corridor are monitored in real time. Once an abnormality is found (such as excessive temperature, excessive harmful gas, etc.), an early warning will be issued immediately.

[0081] Video inspection and emergency command: Panoramic monitoring cameras are set up at the entrance of the tunnel and key nodes, combined with AR / VR technology to achieve remote video inspection and emergency command.

[0082] Comprehensive management platform: Build a comprehensive management platform that integrates data processing, analysis, display and emergency response functions to provide a comprehensive security solution for the tunnel management department.

[0083] Example 5

[0084] During mining operations, the system is deployed in mine tunnels to monitor tunnel structural stability, geological changes, harmful gas concentrations, etc., to ensure the safe production and working environment of miners.

[0085] Implementation details:

[0086] Geological monitoring network: Geological monitoring sensors, including displacement sensors, stress sensors and geological radars, are installed on the top, side walls and floor of the tunnel to monitor the deformation and stress state of the rocks around the tunnel in real time.

[0087] Harmful gas monitoring: Deploy harmful gas concentration sensors such as methane and carbon monoxide to monitor the air quality in the tunnel in real time to ensure the breathing safety of miners.

[0088] Vibration and acoustic emission monitoring: Install vibration sensors and acoustic emission sensors to monitor precursor signals such as rock cracks and landslides in the tunnel, and provide early warning of potential dangers.

[0089] Emergency evacuation system: Combined with the emergency response module, emergency evacuation routes and refuge chambers are designed to ensure that miners can quickly evacuate to a safe area in an emergency.

[0090] Mobile monitoring terminal: Equip miners with portable monitoring terminals to monitor their personal surroundings and physiological status in real time, and maintain communication with the system data center to achieve two-way interaction.

[0091] Example 6

[0092] In order to ensure the safety during tunnel construction, the system is deployed during tunnel construction to monitor the stability of the tunnel excavation face, the safety of the support structure, changes in the groundwater level, etc., to ensure construction safety.

[0093] Implementation details:

[0094] Excavation face monitoring: Displacement sensors, pressure sensors, etc. are installed on the tunnel excavation face to monitor the stability and deformation of the excavation face in real time.

[0095] Support structure monitoring: monitor the tunnel support structure (such as shotcrete support, steel support, etc.), install stress strain sensors and displacement sensors to ensure the safety and effectiveness of the support structure.

[0096] Groundwater level monitoring: Install piezometers and water level sensors around the tunnel to monitor groundwater level changes and prevent geological disasters such as water inrush and mud surge.

[0097] Construction environment monitoring: monitor environmental parameters such as air quality and dust concentration in the tunnel construction area to ensure the health of construction workers.

[0098] Construction machinery monitoring: Remotely monitor tunnel construction machinery to ensure safe operation and prevent machinery failures and accidents.

[0099] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A distributed underground structure safety monitoring system, characterized in that: include: Distributed sensor network, consisting of multiple sensor nodes, each node is equipped with stress and strain sensors, displacement sensors, osmometers, vibration sensors, and temperature and humidity sensors to collect physical parameters of underground structures; The data processing center includes a data receiving and preprocessing module, a big data analysis and anomaly detection module, an alarm and emergency response module, a data visualization and report generation module, and a data backup and recovery module, which are used to receive, process, analyze and display monitoring data, and generate corresponding alarm information and reports; The data transmission subsystem uses low-power wide area network technology or WiFi / Zigbee short-range wireless communication technology to transmit data between sensor nodes and the data processing center; A panoramic monitoring camera network, consisting of multiple panoramic monitoring cameras, each with a 360-degree panoramic field of view, is used to capture and transmit high-definition video streams of the monitoring site in real time; AR / VR integrated platform, consisting of AR equipment and VR equipment. The AR equipment is used to overlay monitoring data or simulate emergency situations in real scenes, and the VR equipment is used to simulate a three-dimensional virtual environment of underground structures for personnel to conduct all-round inspections; The image processing and analysis module is integrated in the data processing center. The image processing and analysis module is used to receive the video stream of the panoramic monitoring camera, automatically analyze the video content through the image processing algorithm, identify abnormal events, and automatically capture and save pictures before and after the abnormality occurs when an abnormality is detected; The user terminal provides an interactive interface between the user and the monitoring system for viewing monitoring data, receiving alarm notifications and performing remote monitoring.

2. A distributed underground structure safety monitoring system according to claim 1, characterized in that: Each of the sensor nodes comprises: A data acquisition unit for collecting physical parameters of underground structures in real time; A preliminary processing unit performs preliminary processing on the collected raw data; A low power management unit controls the working state of the node according to a preset energy-saving strategy; The wireless communication unit sends the processed data to the data transmission subsystem based on wireless communication technology.

3. A distributed underground structure safety monitoring system according to claim 2, characterized in that: The alarm and emergency response module includes: An alarm information generation unit automatically generates alarm information according to anomaly detection results; An alarm notification channel configuration unit is used to configure a communication channel; The emergency response plan library stores emergency handling processes for different types of anomalies, which the system can automatically call when an anomaly is detected.

4. A distributed underground structure safety monitoring system according to claim 3, characterized in that: The big data analysis and anomaly detection module includes: Data cleaning unit, used to remove outliers and redundant information in the data; Data mining unit, which conducts in-depth mining of cleaned data based on machine learning models to identify abnormal patterns and predict potential safety hazards; The threshold setting unit sets alarm thresholds for different types of physical parameters according to the design specifications and historical data of the underground structure.

5. A distributed underground structure safety monitoring system according to claim 4, characterized in that: The data visualization and report generation module includes: Visual interaction unit, used for custom query, display of monitoring data, analysis results, alarm information and emergency response status; The report generation unit is used to generate a monitoring report in a preset format.

6. A distributed underground structure safety monitoring system according to claim 5, characterized in that: The preset formats include Excel, PDF or Word.

7. A distributed underground structure safety monitoring system according to claim 6, characterized in that: The communication channels include SMS, email, and APP push.

8. A distributed underground structure safety monitoring system according to claim 7, characterized in that: The alarm information includes abnormality type, location, and time.

9. A distributed underground structure safety monitoring system according to claim 8, characterized in that: The preliminary processing includes filtering and denoising.

10. A distributed underground structure safety monitoring system according to claim 9, characterized in that: The abnormal events include cracks and water seepage.

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