Shield TBM tunneling parameter intelligent early warning system

Abstract

The invention discloses a shield TBM tunneling parameter intelligent early warning system, and relates to the technical field of tunnel construction.The system is mainly characterized in that shield TBM equipment collects shield tunneling machine construction data, then the collected data are preprocessed, analyzed and stored, and the shield tunneling machine tunneling parameter intelligent early warning system is established according to shield TBM design parameters, construction experience and historical fault data; and setting a reasonable risk assessment index and an early warning threshold. Various parameters generated in the working process of the tunneling machine are monitored and analyzed in real time, potential risks under the current tunneling parameters can be recognized, and early warning is given out in time to inform an operator to take corresponding measures. The system not only overcomes the subjectivity and low efficiency problems of traditional judgment depending on experience, but also improves the safety control capability of construction under complex geological conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel construction, and in particular to an intelligent early warning system for shield tunneling (TBM) excavation parameters. Background Art

[0002] As a key equipment in modern tunnel construction, tunnel boring machines have played an important role in improving construction efficiency and safety. With the development of engineering technology, especially for ultra-large tunnel projects under complex geological conditions, the requirements for shield TBM performance are getting higher and higher. Traditional TBM operation relies on the operator's experience and judgment. This method has problems such as strong subjectivity and low recognition efficiency. Especially when facing complex geological conditions, it is easy to cause inaccurate information feedback, which in turn affects construction safety and progress. An intelligent early warning system for shield TBM excavation parameters is designed to achieve more accurate prediction and control of excavation parameters. It collects various parameters in real time during the operation of the shield TBM, automatically identifies potential risks through data analysis algorithms, and promptly issues early warnings to operators, thereby improving the safety and controllability of construction.

[0003] Therefore, it is necessary to propose an intelligent early warning system for shield TBM excavation parameters to solve the above problems. Summary of the Invention

[0004] (1) Technical problems solved

[0005] The purpose of the present invention is to provide an intelligent early warning system for shield TBM excavation parameters. The system can collect and process various parameters during the operation of the shield TBM in real time, and automatically identify potential risks through intelligent algorithms. It can solve the technical problem of inaccurate information feedback that affects construction safety and progress.

[0006] (2) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent early warning system for shield TBM excavation parameters, including a data acquisition module for real-time acquisition of construction parameters during shield and TBM excavation;

[0008] A data processing module, connected to the data acquisition module, for preprocessing, analyzing and storing the collected data;

[0009] A model training module, connected to the data processing module, uses historical data to train a prediction model, wherein the prediction model can predict potential risks based on current tunneling parameters;

[0010] An early warning judgment module, connected to the model training module, compares the result output by the prediction model with a preset threshold, and triggers an early warning when the prediction result exceeds the threshold;

[0011] The user interface module is used to display and issue warning information, allowing users to query specific parameter details and adjust warning thresholds.

[0012] Preferably, the data acquisition module is composed of a sensor group for monitoring one parameter of thrust, top pressure and torque.

[0013] Preferably, the data processing module first determines whether the collected data exceeds the normal range. If the data is abnormal, the data is cleaned. If normal, the parameters are normalized for analysis. The standardized data set is then analyzed based on the threshold set by the model and project experience. Finally, the analysis results are stored in the data storage unit for extraction and use.

[0014] Preferably, the model processing module is used to receive the cleaned, converted and standardized data from the data processing module, further process the data to extract useful features, use the data set to train the model based on the nature of the problem and the characteristics of the available data, and then predict potential risks or abnormal situations based on the current excavation parameters.

[0015] Preferably, the early warning judgment module further includes a multi-level early warning mechanism, which issues warnings of different degrees according to different risk levels.

[0016] Preferably, the user interface module also provides a visualization page for displaying warning values ​​related to key parameters in the shield and TBM excavation process, and warnings can be sent through instant messages to system preset warning contacts, system internal channel messages, etc.

[0017] (3) Beneficial effects

[0018] Compared with the existing technology, the present invention provides an intelligent early warning system for shield TBM excavation parameters, which has the following beneficial effects:

[0019] This intelligent early warning system for shield TBM excavation parameters uses intelligent analysis algorithms to more accurately predict potential shield TBM failures and risks. Compared to traditional early warning methods, it reduces false alarms and missed alarms, improving the accuracy and reliability of early warnings. This real-time early warning function enables construction personnel to take timely measures to avoid construction delays and safety accidents caused by equipment failures or construction risks, ensuring smooth tunnel construction and improving construction efficiency and safety. Data storage and query capabilities provide data support for subsequent equipment maintenance and construction optimization, enhancing shield TBM excavation performance and construction management. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a control principle block diagram of an intelligent early warning system for shield TBM excavation parameters of the present invention;

[0021] Figure 2 This is a schematic diagram of an interface displaying tunneling parameters of an intelligent early warning system for tunneling parameters of a shield TBM according to the present invention;

[0022] Figure 3 This is a schematic diagram of an interface for setting tunneling parameters of an intelligent early warning system for tunneling parameters of a shield TBM according to the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the accompanying 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 embodiments described 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 making creative efforts shall fall within the scope of protection of the present invention. Figure 1-3 As shown in FIG, an intelligent early warning system for shield TBM excavation parameters includes the following parts:

[0024] Data acquisition module: The data collector installed on the key parts of the shield TBM is used to monitor the operating status and working environment of the shield TBM in real time. The data collected by the collector includes but is not limited to torque, thrust, pressure, etc., which are used to monitor the key parameters of the shield TBM, such as torque, thrust, top pressure, etc.

[0025] Data Processing Module: This module is responsible for organizing data transmitted by the collector and performing real-time processing and analysis. By collecting and processing data from the collector, this unit obtains TBM tunneling parameters such as thrust, top pressure, and cutterhead torque. By monitoring and analyzing these parameters, the TBM's operating status can be assessed in real time, predicting potential problems. The collected tunneling parameter data and warning records are categorized and stored in a data storage unit. This module allows construction personnel to easily query historical data for analyzing equipment operating trends, summarizing construction experience, and tracing the causes of failures.

[0026] Early Warning Module: Based on the tunneling parameters provided by the data acquisition and processing unit, the intelligent early warning module performs real-time judgments and early warnings. This module comprises an excavation parameter judgment and processing module and a fault tolerance and safety module. The excavation parameter judgment and processing module analyzes the excavation parameters in real time and, based on pre-set early warning criteria, determines whether any abnormalities exist. The fault tolerance and safety module ensures the stability and reliability of the early warning system, preventing false alarms and missed alerts.

[0027] User Interface Module: This interface displays the TBM's status and excavation parameters in real time, facilitating operator monitoring and adjustments. Based on the intelligent warning module's judgment, the control system intelligently controls the TBM, adjusting settings such as the warning timeout (hours), abnormality detection time (seconds), and thresholds to prevent abnormalities.

[0028] An intelligent early warning system for shield TBM excavation parameters, such as Figure 1 As shown, it is mainly composed of shield TBM equipment, data acquisition module, data processing module, model training module, early warning judgment module, and user interface module. The user interface module includes a display device and an operating device. When in use, the data acquisition device is started, and the shield TBM equipment collects the construction data of the shield machine. The collected data is then pre-processed, analyzed and stored. According to the design parameters, construction experience and historical fault data of the shield TBM, reasonable risk assessment indicators and early warning thresholds are set. When the analysis results output by the data processing module are compared with the preset risk assessment indicators, once the parameters are found to be abnormal, the early warning judgment module immediately starts the early warning mechanism. Construction personnel only need to select or enter query conditions in the interactive module, such as enterprise, project, section, line, current warning or historical warning, start and end date, point name, etc. Figure 2 As shown, you can quickly obtain the required data and display it in the form of reports, etc., which is convenient for analysis and summary.

[0029] An intelligent early warning system for shield TBM excavation parameters, such as Figure 2 As shown in the figure, the warning record page displays information such as warning level, project name, shield name, point code, point name, warning value, warning upper and lower limits, warning start mileage, warning start time, warning duration, shield machine status, etc. Figure 3 As shown, the page displays a list of parameter warning settings. Construction personnel can query and add enabled or disabled settings by company, project, section, line, and point name. The list displays information such as company name, project name, section name, line name, shield machine name, warning point, warning push time limit, abnormality judgment time, upper and lower warning limits, enabled status, and automatic status. The automatic status automatically calculates and updates the warning range through an algorithm, and selects the automatically calculated points.

[0030] In the above embodiment, the thrust of the shield machine, taking the first five rings of the current excavation ring number as the data reference, if the value exceeds 1.3 times the average value of the first five rings and the value exceeds the limit for more than 10 minutes, a yellow warning is triggered. If it exceeds 1.5 times and the value exceeds the limit for more than 10 minutes, a red warning is triggered. The cutter head torque, taking the first five rings of the current excavation ring number as the data reference, if the value exceeds 1.3 times the average value of the first five rings and the value exceeds the limit for more than 10 minutes, a yellow warning is triggered. If it exceeds 1.5 times and the value exceeds the limit for more than 10 minutes, a red warning is triggered. The top pressure, taking the previous ring of the current excavation ring number as the data reference, if the value changes by more than plus or minus 0.2 compared with the average value of the previous ring and the value exceeds the limit for more than 2 minutes, a yellow warning is triggered. If it exceeds plus or minus 0.3 and the value exceeds the limit for more than 2 minutes, a red warning is triggered. The thrust of the shield machine and the cutter head torque can be set automatically or manually, but the push time and abnormality judgment time must be set manually. The top pressure can only be set manually.

[0031] In the above embodiment, the warning record page can query the current warning or historical warning according to the enterprise / project / interval, line, start date, end date, and point name. After clicking the "Query" button, the corresponding table data will appear below. The warning setting page can query the corresponding data according to the industry / project / interval, line, whether it is enabled and the point name. You can also add / modify warning points. When adding, select the enterprise, project, interval, line, equipment and enter multiple point information. A point information includes: warning point, warning push time limit, abnormal judgment time, red upper and lower limits, and yellow upper and lower limits. When adding a point, pay attention to the warning push time limit (hours) and pay attention to:

[0032] a) The timeliness (hours) of warning push should be greater than the abnormality judgment time;

[0033] b) Abnormal judgment time (seconds) The number entered indicates that no warning will be generated during the duration;

[0034] c) The warning point, warning push time, and abnormal judgment time must be transmitted, and the red lower limit < yellow lower limit < yellow upper limit < red upper limit.

[0035] When modifying the warning information, you can click the "Edit" button in the table. In the edit page, the enterprise, project, interval, equipment and warning point cannot be modified. You can modify the warning push time (hours), abnormal judgment time (seconds), red upper and lower limits, yellow upper and lower limits, whether to enable, and whether to automatically. Whether to enable indicates whether the warning is to be enabled for the point, and whether to automatically indicate whether to automatically update the warning range.

[0036] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0037] While 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 these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent early warning system for shield TBM excavation parameters, characterized by: Includes a data acquisition module for real-time collection of construction parameters during shield and TBM excavation; A data processing module, connected to the data acquisition module, for preprocessing, analyzing and storing the collected data; A model training module, connected to the data processing module, uses historical data to train a prediction model, wherein the prediction model can predict potential risks based on current tunneling parameters; An early warning judgment module, connected to the model training module, compares the result output by the prediction model with a preset threshold, and triggers an early warning when the prediction result exceeds the threshold; The user interface module is used to display and issue warning information, allowing users to query specific parameter details and adjust warning thresholds.

2. The intelligent early warning system for shield TBM excavation parameters according to claim 1 is characterized by: The data acquisition module is composed of a sensor group and is used to monitor one of the parameters of thrust, top pressure and torque.

3. The intelligent early warning system for shield TBM excavation parameters according to claim 1 is characterized by: The data processing module first determines whether the collected data exceeds the normal range. If the data is abnormal, the data is cleaned. If it is normal, the parameters are normalized for analysis. Then, the standardized data set is analyzed according to the threshold set by the model and the project experience. Finally, the analysis results are stored in the data storage unit for extraction and use. Among them, data cleaning is performed on the following data types: Null value processing: Capture null values ​​in fields and load or replace them with other meaningful data. In addition, data can be loaded into different target libraries based on null values ​​in fields. Normalized data format: It can implement field format constraint definition and customize the loading format for time, numeric, character and other data in the data source. Data replacement: Due to business factors, invalid data and missing data can be replaced.

4. The intelligent early warning system for shield TBM excavation parameters according to claim 1 is characterized by: The model processing module is used to receive the cleaned, converted and standardized data from the data processing module, further process the data to extract useful features, use the data set to train the model based on the nature of the problem and the characteristics of the available data, and then predict potential risks or abnormal situations based on the current tunneling parameters.

5. The intelligent early warning system for shield TBM excavation parameters according to claim 1 is characterized by: The early warning judgment module further includes a multi-level early warning mechanism, which issues warnings of different degrees according to different risk levels.

6. The intelligent early warning system for shield TBM excavation parameters according to claim 1 is characterized by: The user interface module also provides a visualization page for displaying warning values ​​related to key parameters in the shield and TBM excavation process, and warnings can be sent through instant messages to system preset warning contacts, system internal channel messages, etc.

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