Intelligent monitoring system for shield tunneling machine underneath passing existing station

Abstract

The invention relates to an intelligent monitoring system for a shield to pass through an existing station, and an integrated sensor network comprises a plurality of sensors disposed at key nodes of each structure of the existing station, and is used for dynamically capturing structural vibration frequency data, stress distribution data and displacement change data in all time periods. The collected monitoring data is sent to a central intelligent analysis and early warning module; and the central intelligent analysis and early warning module is used for carrying out analysis and behavior prediction on the monitoring data acquired by the integrated sensor network by utilizing a machine learning model, judging whether an abnormal index exists in the acquired monitoring data, and starting an early warning mechanism if the abnormal index exists in the acquired monitoring data. It can be understood that according to the technical scheme shown by the invention, real-time monitoring and intelligent early warning of the safety of the existing station structure are achieved, a comprehensive and intelligent monitoring scheme is provided for the construction of the shield tunneling machine passing through the existing station, and the practical value is remarkable.

Description

Technical Field

[0001] The present invention relates to the technical field of urban rail transit construction, and in particular to an intelligent monitoring system for a shield machine passing under an existing station. Background Art

[0002] With the continuous expansion of urban rail transit networks, the construction of shield tunneling under existing stations is becoming more and more frequent. Shield tunneling under existing stations refers to the construction of shield tunneling under existing stations within the scope of transportation hubs.

[0003] However, during the construction process of the shield tunnel passing under the existing station, the impact on the existing station structure is difficult to intuitively predict. How to ensure the structural safety of the existing station and avoid construction risks has become a key issue that needs to be solved urgently.

[0004] In traditional construction, monitoring of existing stations often relies on manual inspections and limited sensor monitoring, which makes it difficult to achieve comprehensive, real-time data collection and intelligent analysis. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide an intelligent monitoring system for a shield tunnel passing through an existing station, so as to solve the problem that it is difficult to achieve comprehensive and real-time data collection and intelligent analysis in the prior art.

[0006] According to a first aspect of an embodiment of the present invention, there is provided an intelligent monitoring system for a shield tunnel passing through an existing station, comprising:

[0007] Integrated sensor network and central intelligent analysis and early warning module;

[0008] The integrated sensor network includes a number of sensors deployed at key nodes of various structures of existing stations. The integrated sensor network is used to dynamically capture structural vibration frequency data, stress distribution data and displacement change data at all times, and send the collected monitoring data to the central intelligent analysis and early warning module;

[0009] The central intelligent analysis and early warning module is used to use a machine learning model to analyze and predict the behavior of the monitoring data collected by the integrated sensor network, and to determine whether there are abnormal indicators in the collected monitoring data. If so, an early warning mechanism is activated.

[0010] Preferably, the integrated sensor network includes a microseismic sensor array, a distributed optical fiber strain detection module and an intelligent laser radar displacement monitoring module;

[0011] The microseismic sensor array is used to collect structural vibration frequency data;

[0012] The distributed optical fiber strain detection module is used to collect stress distribution data;

[0013] The intelligent laser radar displacement monitoring module is used to collect displacement change data.

[0014] Preferably, the intelligent monitoring system for shield tunneling under an existing station further comprises:

[0015] The cloud data fusion platform is used to obtain the monitoring data collected by the integrated sensor network and store and archive the monitoring data.

[0016] Preferably, the cloud data fusion platform also includes an API interface;

[0017] The API interface is used to provide data query services to authorized users.

[0018] Preferably, the cloud data fusion platform further includes a preprocessing module;

[0019] The preprocessing module is used to perform data cleaning, noise reduction filtering and feature extraction on the monitoring data.

[0020] Preferably, the cloud data fusion platform integrates advanced encryption standards and firewall technology.

[0021] Preferably, the intelligent monitoring system for shield tunneling under an existing station further comprises:

[0022] The risk assessment subsystem is used to obtain influencing factors related to the existing station, analyze the influencing factors through a deep neural network model, and obtain the probability of structural deformation caused by shield underpass operation; the influencing factors at least include historical construction records, geological data and meteorological conditions.

[0023] Preferably, the intelligent monitoring system for shield tunneling under an existing station further comprises:

[0024] The visual monitoring interface set up at the construction site is used to display the monitoring data of key nodes of each structure of the existing station.

[0025] Preferably, the hardware devices in the integrated sensor network and the central intelligent analysis and early warning module are interconnected using the Internet of Things protocol.

[0026] Preferably, the hardware devices in the integrated sensor network and the central intelligent analysis and early warning module utilize remote wireless connections to obtain software update instructions and device health status check instructions;

[0027] Execute software update according to the software update instruction and return the update result;

[0028] Perform a device health status check according to the device health status check instruction and return the check result.

[0029] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0030] It is understandable that the technical solution shown in the present invention is that the integrated sensor network includes a number of sensors deployed at the key nodes of each structure of the existing station, which are used to dynamically capture the structural vibration frequency data, stress distribution data and displacement change data at all times, and send the collected monitoring data to the central intelligent analysis and early warning module; the central intelligent analysis and early warning module is used to use the machine learning model to analyze and predict the behavior of the monitoring data collected by the integrated sensor network, and determine whether there are abnormal indicators in the collected monitoring data. If so, the early warning mechanism is activated. It is understandable that the technical solution shown in the present invention realizes real-time monitoring and intelligent early warning of the safety of the existing station structure, and provides a comprehensive and intelligent monitoring solution for the construction of shield tunneling under the existing station, which has significant practical value.

[0031] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0033] Figure 1 is a schematic block diagram of an intelligent monitoring system for a shield tunnel passing through an existing station according to an exemplary embodiment;

[0034] Figure 2 is a schematic plan view of automatic monitoring point layout according to an exemplary embodiment;

[0035] Figure 3 is a schematic cross-sectional diagram of automatic monitoring point layout according to an exemplary embodiment;

[0036] Figure 4 It is a flow chart of an intelligent monitoring system for a shield tunnel passing under an existing station according to another exemplary embodiment. DETAILED DESCRIPTION

[0037] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0038] In one embodiment, Figure 1is a schematic block diagram of an intelligent monitoring system for a shield tunnel passing through an existing station according to an exemplary embodiment. Figure 1 , providing an intelligent monitoring system for shield tunneling under existing stations, including:

[0039] Integrated sensor network and central intelligent analysis and early warning module;

[0040] The integrated sensor network includes a number of sensors deployed at key nodes of various structures of existing stations. The integrated sensor network is used to dynamically capture structural vibration frequency data, stress distribution data and displacement change data at all times, and send the collected monitoring data to the central intelligent analysis and early warning module;

[0041] The central intelligent analysis and early warning module is used to use a machine learning model to analyze and predict the behavior of the monitoring data collected by the integrated sensor network, and to determine whether there are abnormal indicators in the collected monitoring data. If so, an early warning mechanism is activated.

[0042] It is understandable that the technical solution shown in the present invention is that the integrated sensor network includes a number of sensors deployed at the key nodes of each structure of the existing station, which are used to dynamically capture the structural vibration frequency data, stress distribution data and displacement change data at all times, and send the collected monitoring data to the central intelligent analysis and early warning module; the central intelligent analysis and early warning module is used to use the machine learning model to analyze and predict the behavior of the monitoring data collected by the integrated sensor network, and determine whether there are abnormal indicators in the collected monitoring data. If so, the early warning mechanism is activated. It is understandable that the technical solution shown in the present invention realizes real-time monitoring and intelligent early warning of the safety of the existing station structure, and provides a comprehensive and intelligent monitoring solution for the construction of shield tunneling under the existing station, which has significant practical value.

[0043] In actual practice, the number of integrated sensor networks is at least one group, which dynamically captures the structural vibration frequency data, stress distribution data and displacement change data of existing stations throughout the entire period to ensure the accuracy and integrity of the monitoring data.

[0044] The Integrated Sensor Network (ISN) adopts a three-dimensional matrix intelligent deployment strategy, and densely deploys key nodes of the station structure such as platform slabs, beam-column connections, side walls and tunnel tops to ensure a wide coverage of the monitoring range while enhancing the response capabilities of key sections.

[0045] The key nodes to be monitored should be reasonably arranged according to the structural characteristics of the station, the path of the shield tunnel, geological conditions and potential risks. The key nodes should cover the main structural elements, such as the main structure of the station, the support system, the entrances and exits, etc., and take into account the axis of the shield tunnel and the expected deformation area.

[0046] In an exemplary embodiment, the key nodes to be monitored are Figure 2 and Figure 3 .

[0047] Horizontal displacement monitoring points: Horizontal displacement monitoring points are usually arranged at key structural nodes of the station, such as columns, wall connection points, etc. Fixing devices such as bolts or expansion screws should be used at the points to ensure the stability of the monitoring instrument.

[0048] Vertical displacement monitoring points are mainly arranged at the bottom and top of the station, as well as other key points that may be affected by vertical forces. The points also need to be fixed and measured regularly using a precision level or total station.

[0049] like Figure 2 and Figure 3 , structural horizontal displacement and clearance convergence points are laid at regular intervals on both sides of the track; vertical deformation and differential settlement points of the roadbed structure are laid at regular intervals along the carriageway.

[0050] It should be noted that the integrated sensor network includes but is not limited to a microseismic sensor array, a distributed optical fiber strain detection module and an intelligent lidar displacement monitoring module; the microseismic sensor array is used to collect structural vibration frequency data; the distributed optical fiber strain detection module is used to collect stress distribution data; and the intelligent lidar displacement monitoring module is used to collect displacement change data.

[0051] In actual practice, the intelligent lidar displacement monitoring module uses non-contact measurement principles and is equipped with adaptive focusing technology and dual-frequency interference positioning algorithms to achieve real-time displacement observation at the micron level, and has the characteristics of strong environmental adaptability and high anti-interference ability.

[0052] At present, the Swiss Leica TS60 automatic total station can be selected as the instrument for data collection, with an angle measurement accuracy of 0.5″ and a distance measurement accuracy of 0.6mm+1ppm. Equipped with automatic monitoring software, the instrument is started regularly for automatic data collection, and the data is transmitted via a wireless network. After the collected data is processed by the software, a deformation monitoring report is generated.

[0053] It can be understood that through the microseismic sensor array, distributed optical fiber strain detection module and intelligent lidar displacement monitoring module, a three-dimensional monitoring network is constructed to cover all key locations of the station and achieve high-precision monitoring of structural vibration, strain and displacement.

[0054] The monitoring frequency is shown in Table 1.

[0055] Table 1 Monitoring frequency table

[0056]

[0057] The central intelligent analysis and early warning module can use machine learning models to perform advanced pattern recognition and behavior prediction on the data collected by the sensor network, timely identify abnormal indicators and trigger the alarm mechanism, and simultaneously push early warning notifications to relevant engineering personnel to ensure that the construction team is aware of potential risks in the first place.

[0058] In an exemplary embodiment, each monitoring project formulates monitoring measurement control standards according to the principle of "division, classification, and stage", and provides feedback and control according to the three-level warning of yellow, orange and red, see Table 2.

[0059] Table 2 Warning range

[0060]

[0061]

[0062] In actual practice, when a yellow warning is issued, relevant technical personnel are organized to find the causes of excessive deformation and eliminate the leading factors in a timely manner, and check and improve the construction plan, shield excavation speed, support measures, etc.

[0063] When an orange warning is issued, shield tunneling should be stopped immediately, and a consultation should be held with the construction, design, construction, supervision and monitoring units to strengthen construction measures and make judgments and decisions on various possible situations. Experts should be organized to discuss and analyze the causes of excessive settlement rates and corresponding control measures. The warning plan should be improved according to the characteristics of the warning status, and observation and monitoring should be strengthened.

[0064] When a red alert is issued, construction in the section must be stopped; experts, property rights units and other relevant units should be immediately organized to study protection plans.

[0065] It should be noted that, in another embodiment, the shield tunneling under an existing station intelligent monitoring system further includes: a cloud data fusion platform for acquiring monitoring data collected by an integrated sensor network, storing and archiving the monitoring data, and realizing high integration and secure storage of data through big data analysis technology.

[0066] In actual practice, various sensors transmit the collected monitoring data to the sensor network through antennas or wifi. The sensor network continuously collects data and sends it to the central intelligent analysis and early warning module and the cloud data fusion platform in real time after preliminary processing.

[0067] It should be noted that the cloud data fusion platform also includes an API interface; the API interface is used to provide data query services to authorized users to assist in decision making and enhance data availability.

[0068] The cloud data fusion platform also includes a preprocessing module; the preprocessing module is used to perform data cleaning, noise reduction filtering and feature extraction on the monitoring data to ensure that the quality of the original data input into the cloud data fusion platform is optimal, reduce the false alarm rate, and improve the reliability index of the overall monitoring system.

[0069] The cloud data fusion platform integrates advanced encryption standards and firewall technologies.

[0070] It is understandable that the cloud data fusion platform is not only responsible for the real-time transmission, storage and archiving of massive monitoring data, but also integrates the Advanced Encryption Standard (AES) and multi-layer firewall technology to protect information security. At the same time, the open API interface allows third-party applications to access and improve the availability and interactivity of the data.

[0071] See also Figure 4 The operation process of the technical solution of this embodiment is as follows: first, the project is started and the demand analysis is carried out by the staff; then the monitoring target and sensor type are determined, the sensor network is planned and deployed, and the sensors are installed and debugged; the sensors continuously collect data, pre-process and format the data; the data is encrypted and securely transmitted to the intelligent analysis platform, and anomaly detection is performed using AI algorithms. If anomalies exist, an early warning is triggered; the data is uploaded to the cloud data fusion platform, the data is securely stored, and the data is archived and backed up; data query services are provided to authorized users, and the query data is analyzed and reports are generated; the risk assessment subsystem is started, the factors affecting the judgment are analyzed, and the probability of structural deformation is obtained; the system status is checked and maintained when the monitoring task is completed.

[0072] It should be noted that the intelligent monitoring system for shield tunneling under an existing station also includes: a risk assessment subsystem, which is used to obtain influencing judgment factors related to the existing station, analyze the influencing judgment factors through a deep neural network model, and obtain the probability of structural deformation caused by the shield tunneling operation, so as to provide a forward-looking decision-making reference for the construction party.

[0073] The factors affecting the judgment include at least historical construction records, geological data and meteorological conditions.

[0074] In practice, the risk assessment subsystem can also predict the structural changes that may be caused by the shield tunneling, providing a scientific basis for construction decisions. It uses historical data and professional algorithms to predict possible structural risks and provide guidance and suggestions for construction plans.

[0075] It should be noted that the intelligent monitoring system for the shield tunneling under an existing station also includes: a visual monitoring interface set up at the construction site, which is used to display the monitoring data of the key nodes of each structure of the existing station.

[0076] It is understandable that by setting up a visual monitoring interface, it is convenient for construction management personnel to view the status information of each monitoring point in real time, make timely scheduling arrangements, and enhance emergency response speed.

[0077] It should be noted that the hardware devices in the integrated sensor network and the central intelligent analysis and early warning module are interconnected using the Internet of Things protocol to form a unified communication framework, simplify the installation and debugging process, and reduce the subsequent operation and maintenance costs.

[0078] It should be noted that the hardware devices in the integrated sensor network and the central intelligent analysis and early warning module use remote wireless connections to obtain software update instructions and device health status check instructions; execute software updates according to the software update instructions and return update results; execute device health status checks according to the device health status check instructions and return inspection results.

[0079] Understandably, the entire system supports remote upgrade and fault diagnosis functions, and can implement software updates and equipment health status checks through wireless communication networks, ensuring that the monitoring system is continuously optimized and improved with technological advances, thereby extending its service life.

[0080] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0081] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0082] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0083] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0084] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0085] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0086] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0087] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0088] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent monitoring system for a shield tunnel passing through an existing station, characterized in that: include: Integrated sensor network and central intelligent analysis and early warning module; The integrated sensor network includes a number of sensors deployed at key nodes of various structures of existing stations. The integrated sensor network is used to dynamically capture structural vibration frequency data, stress distribution data and displacement change data at all times, and send the collected monitoring data to the central intelligent analysis and early warning module; The central intelligent analysis and early warning module is used to use a machine learning model to analyze and predict the behavior of the monitoring data collected by the integrated sensor network, and to determine whether there are abnormal indicators in the collected monitoring data. If so, an early warning mechanism is activated.

2. The intelligent monitoring system for shield tunneling under existing stations according to claim 1 is characterized in that: The integrated sensor network includes a microseismic sensor array, a distributed optical fiber strain detection module and an intelligent laser radar displacement monitoring module; The microseismic sensor array is used to collect structural vibration frequency data; The distributed optical fiber strain detection module is used to collect stress distribution data; The intelligent laser radar displacement monitoring module is used to collect displacement change data.

3. The intelligent monitoring system for shield tunneling under existing stations according to claim 1 is characterized in that: Also includes: The cloud data fusion platform is used to obtain the monitoring data collected by the integrated sensor network and store and archive the monitoring data.

4. The intelligent monitoring system for shield tunneling under existing stations according to claim 3 is characterized in that: The cloud data fusion platform also includes an API interface; The API interface is used to provide data query services to authorized users.

5. The intelligent monitoring system for shield tunneling under existing stations according to claim 4 is characterized in that: The cloud data fusion platform also includes a pre-processing module; The preprocessing module is used to perform data cleaning, noise reduction filtering and feature extraction on the monitoring data.

6. The intelligent monitoring system for shield tunneling under an existing station according to any one of claims 3 to 5, characterized in that: The cloud data fusion platform integrates advanced encryption standards and firewall technologies.

7. The intelligent monitoring system for shield tunneling under existing stations according to claim 1 is characterized in that: Also includes: The risk assessment subsystem is used to obtain influencing factors related to the existing station, analyze the influencing factors through a deep neural network model, and obtain the probability of structural deformation caused by shield underpass operation; the influencing factors at least include historical construction records, geological data and meteorological conditions.

8. The intelligent monitoring system for shield tunneling under existing stations according to claim 1 is characterized in that: Also includes: The visual monitoring interface set up at the construction site is used to display the monitoring data of key nodes of each structure of the existing station.

9. The intelligent monitoring system for shield tunneling under existing stations according to claim 1 is characterized in that: The hardware devices in the integrated sensor network and the central intelligent analysis and early warning module are interconnected using the Internet of Things protocol.

10. The intelligent monitoring system for shield tunneling under existing stations according to claim 9 is characterized in that: The hardware devices in the integrated sensor network and central intelligent analysis and early warning module use remote wireless connections to obtain software update instructions and equipment health status check instructions; Execute software update according to the software update instruction and return the update result; Perform a device health status check according to the device health status check instruction and return the check result.

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