Foundation pit support early warning device

Abstract

The utility model relates to a foundation pit supporting early warning device which comprises monitoring sensing parts which are at least arranged at the first position, the second position, the third position and the fourth position of a stress concentration area of an underground diaphragm wall and used for collecting displacement data of a foundation pit supporting structure at regular time. The data transmission part is electrically connected with the monitoring and sensing part and responds to a collection signal of the monitoring and sensing part in real time; the analysis processing part is provided with a long-short-term memory neural network structure module, and is used for receiving the monitoring data sent by the data transmission part, analyzing the displacement trend, outputting predicted displacement and comparing and analyzing the predicted displacement with a preset safety threshold value to trigger an activation signal; and the multi-mode alarm part is electrically connected with the analysis processing part, and is used for receiving the activation signal and executing alarm.

Description

Technical Field

[0001] The utility model relates to the field of foundation pit monitoring, and more specifically, to a foundation pit support early warning device. Background Art

[0002] With the acceleration of urbanization, the scale and complexity of foundation pit projects are increasing, and their safety and efficiency have become the focus of attention. The relevant monitoring methods mainly rely on manual inspections and measurement tools, which are not only time-consuming and labor-intensive, but also often difficult to provide regular and / or comprehensive monitoring data. In addition, manual monitoring has limitations in data accuracy and continuity, especially in complex or dangerous environments. The displacement of foundation pit support structures is one of the main factors leading to engineering accidents. Traditional monitoring methods often fail to detect and respond to displacement changes in a timely manner, thereby increasing safety risks. Utility Model Content

[0003] To solve the above technical problems, the utility model provides a foundation pit support early warning device, which includes: a monitoring sensing part, which is arranged at least at a first position, a second position, a third position, and a fourth position of a stress concentration area of ​​an underground continuous wall, and is used to regularly collect displacement data of a foundation pit support structure; a data transmission part, which is electrically connected to the monitoring sensing part and responds to the collection signal of the monitoring sensing part in real time; an analysis and processing part, which is provided with a long short-term memory neural network structure module, which analyzes the displacement trend and outputs a predicted displacement by receiving the monitoring data sent by the data transmission part, and compares and analyzes the predicted displacement with a preset safety threshold to trigger an activation signal; and a multimodal alarm part, which is electrically connected to the analysis and processing part and is used to receive the activation signal and execute an alarm.

[0004] Optionally, the monitoring sensing parts are symmetrically arranged in the stress concentration area of ​​the underground continuous wall.

[0005] Optionally, the monitoring sensing part is configured as a high-precision displacement sensor with a wireless transmission module, and the high-precision displacement sensor is provided with a micro-electromechanical system.

[0006] Optionally, the regular collection frequency of the high-precision displacement sensor is set to once every six hours.

[0007] Optionally, the analysis and processing unit is provided with a user interface display module.

[0008] Optionally, the multimodal alarm unit is provided with a sound alarm module, a light signal alarm module and a digital notification module.

[0009] Optionally, the foundation pit support early warning device further includes: a data preprocessing unit, which is electrically connected to the data transmission unit and the analysis and processing unit respectively, and is used to preprocess the monitoring data sent by the data transmission unit.

[0010] Optionally, the foundation pit support early warning device further includes: an environmental monitoring preprocessing unit, which is used to perform equivalent calculations on the layout environment to determine the position of the stress concentration area.

[0011] Optionally, the foundation pit support warning device is communicatively connected with a remote control system for remote warning prompts. Optionally, the connecting portion is configured as a columnar structure with a smooth surface.

[0012] The embodiment of the utility model includes a monitoring sensing unit, a data transmission unit, an analysis and processing unit and a multi-modal alarm unit. The data collected by the monitoring sensing unit is sent to the analysis and processing unit through the data transmission unit. The analysis and processing unit uses a long short-term memory (LSTM) neural network for analysis and learning to predict the future support displacement trend, realize high-precision real-time monitoring of the displacement of the foundation pit support structure, and improve monitoring accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The following are drawings of exemplary embodiments of the present invention, in which the same or similar reference numerals are used to represent the same or similar elements.

[0014] Figure 1 A schematic diagram of the arrangement structure of a foundation pit support warning device of an exemplary embodiment of the utility model is shown.

[0015] Figure 2 A schematic diagram showing a high-precision displacement sensor according to an exemplary embodiment of the present utility model arranged on an underground continuous wall. DETAILED DESCRIPTION

[0016] In the present invention, the term “and / or” is intended to cover all possible combinations and sub-combinations of the listed elements, including any one, any sub-combination or all of the elements listed individually, without necessarily excluding other elements.

[0017] In the present invention, unless otherwise specified, the terms “first”, “second”, etc. are used to describe various elements without intending to limit the positional relationship, temporal relationship or importance relationship of these elements. Such terms are only used to distinguish one element from another.

[0018] In the present utility model, unless otherwise specified, the directions or positional relationships indicated by the terms "front, back, up, down, left, right", etc. are generally based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of description and simplified description and should not be understood as limiting the scope of protection of the present utility model.

[0019] Figure 1 The following is a schematic diagram showing the arrangement structure of the foundation pit support warning device of an exemplary embodiment of the utility model. Figure 1 and Figure 2 As shown, the outer circle of underground continuous wall 110 includes four walls, and the high-precision displacement sensors 210 are evenly arranged in the stress concentration area of ​​the underground continuous wall 110. The stress concentration area is the selected monitoring point. At the underground continuous wall, according to engineering principles and previous geological survey results, the symmetrical parts of the wall are selected, and further, the four corner areas are selected as the first position, the second position, the third position and the fourth position. In the illustrated embodiment, four positions in the middle of the wall are also selected, a total of eight positions as monitoring points. In some embodiments, the first position and the second position are located at the groundwater level.

[0020] For non-standard four-sided walls, they are approximately converted into quasi-four-sided walls, and then the monitoring sensing parts are evenly and symmetrically arranged. At this time, the foundation pit support early warning device also includes an environmental monitoring preprocessing part, which is used to perform equivalent calculations on the arrangement environment, so as to determine effective monitoring points.

[0021] Each high-precision displacement sensor 210 is provided with a wireless transmission module, and the radiation range covers the data transmission unit 220 and the analysis and processing unit 230. In the illustrated embodiment, the high-precision displacement sensor 210 is provided with a micro-electromechanical system, which has high sensitivity and anti-interference, is capable of accurately monitoring small displacement changes, and operates stably in extreme environments. In addition, the high-precision displacement sensor 210 and the data transmission unit 220 are transmitted through a multi-band wireless transmission mode. In an alternative embodiment, it is transmitted through a limited mode.

[0022] In the illustrated embodiment, the regular collection frequency of the high-precision displacement sensor 210 is set to once every six hours. The displacement data collected spontaneously every six hours includes: displacement, timestamp, high-precision displacement sensor identification, etc. Among them, one of the functions of the timestamp is to facilitate artificial intelligence deep learning analysis of historical data.

[0023] In some embodiments, the data transmission unit 220 uses encryption technology to ensure the security of the data transmission process to prevent data leakage or illegal access.

[0024] In some embodiments, the foundation pit support warning device also includes a repeater to enhance the signal and ensure the continuity and stability of data transmission.

[0025] The analysis and processing unit 230 is the data sub-processing center of the foundation pit support early warning device, which is composed of a computing processor and data analysis software. The prediction mechanism of the long short-term memory neural network (LSTM) is based on the learning and analysis of historical data. Through the time series analysis of past monitoring data (mainly displacement), the behavior pattern and potential risk trend of the foundation pit support structure are identified. The LSTM network is particularly suitable for processing this type of time-dependent sequence data because it can remember long-term data patterns and make predictions based on this information. In practical applications, the LSTM network will evaluate the similarity between the current data and the historical pattern and predict the displacement changes of the foundation pit support structure in the future. If the prediction results show that the future displacement (predicted displacement) may exceed the preset safety threshold, the analysis and processing unit 230 will trigger an activation signal, and the multimodal alarm unit 240 will execute an alarm to prevent potential structural instability or damage. It should be noted that the predicted displacement does not necessarily require the actual exceeding of the preset safety threshold. According to the evaluation after deep learning, when there is a possibility of exceeding the preset safety threshold, the activation signal can be triggered.

[0026] The analysis processing unit 230 performs in-depth analysis on the displacement data, including identifying abnormal patterns, calculating displacement rates, and predicting potential risk areas.

[0027] In some embodiments, the analysis and processing unit is also provided with a user interface display module to display real-time monitoring data, historical trends and forecast results, so that engineering managers can quickly understand the conditions of the foundation pit. Furthermore, users are allowed to customize settings, such as adjusting alarm thresholds and / or selecting visualization of specific data.

[0028] In some embodiments, the monitoring data includes a deformation rate of the foundation pit support structure.

[0029] The multimodal alarm unit 240 is configured to combine multiple alarm modes such as sound, light signals and digital notifications to ensure that relevant personnel can be notified in a timely manner when a potential displacement risk is detected. The design of the multimodal alarm unit 240 takes into account the alarm effect in different situations to ensure the effectiveness of information communication. When the analysis and processing unit 230 analyzes the data and predicts that the displacement exceeds the safety threshold, it triggers the activation of the multimodal alarm unit 240. The multimodal alarm unit 240 can quickly notify engineering management personnel and provide key data and analysis results. In an emergency, the foundation pit support early warning device works in conjunction with other safety and emergency response systems. Such as initiating an automatic evacuation procedure or mobilizing emergency support.

[0030] In some embodiments, the foundation pit support early warning device further includes a data preprocessing unit, which is electrically connected to the data transmission unit and the analysis and processing unit, respectively, and is used to preprocess the monitoring data sent by the data transmission unit to screen and clean the monitoring data. For example, special preprocessing is performed for non-monitoring factors such as the accidental detachment of a high-precision displacement sensor from a wall. This can at least simplify the emergency plan and avoid triggering more subsequent emergency procedures.

[0031] In some embodiments, the foundation pit support warning device can be connected to the on-site management system and the remote monitoring center to achieve real-time data sharing and remote warning prompts.

[0032] In an embodiment of the utility model, a foundation pit support early warning device based on deep learning is provided, wherein the short-term prediction model includes a first model and a second model. The multiple input elements of the input data of the first model include displacement, timestamp, and high-precision displacement sensor identification, and the target element of the output data of the first model includes predicted displacement. The multiple input elements of the input data of the second model include displacement and high-precision displacement sensor identification, and the target element of the output data of the second model includes predicted displacement. In an embodiment of the utility model, the strategy of iterating the short-term prediction model can improve the accuracy of the long-term output element prediction. The iterative short-term prediction model makes full use of the effective information contained in the historical data, and at the same time, the risk of model error accumulation is reduced due to the short prediction time period, which is conducive to improving the overall effect of long-term prediction.

[0033] The embodiment of the utility model includes a monitoring sensing unit, a data transmission unit, an analysis and processing unit and a multi-modal alarm unit. The data collected by the monitoring sensing unit is sent to the analysis and processing unit through the data transmission unit. The analysis and processing unit uses a long short-term memory (LSTM) neural network for analysis and learning to predict the future support displacement trend, realize high-precision real-time monitoring of the displacement of the foundation pit support structure, and improve monitoring accuracy and efficiency.

[0034] The various embodiments presented above are merely exemplary and are by no means intended to limit the scope of the present invention. The innovations described in the present invention and their various variations are within the intended scope of the present invention. In addition, the subject matter described in the present invention and the claims is intended to cover and include all suitable technical variations.

Claims

1. A foundation pit support early warning device, characterized in that: The foundation pit support early warning device comprises: A monitoring sensing part, which is arranged at least at a first position, a second position, a third position, and a fourth position of the stress concentration area of ​​the underground continuous wall, and is used to regularly collect displacement data of the foundation pit support structure. The monitoring sensing part is symmetrically arranged in the stress concentration area of ​​the underground continuous wall, and the monitoring sensing part is configured as a high-precision displacement sensor with a wireless transmission module, and the high-precision displacement sensor is provided with a micro-electromechanical system; A data transmission unit, the data transmission unit is electrically connected to the monitoring sensing unit and responds to the collected signal of the monitoring sensing unit in real time; An analysis and processing unit, wherein the analysis and processing unit is provided with a long short-term memory neural network structure module, which receives the monitoring data sent by the data transmission unit, analyzes the displacement trend and outputs the predicted displacement, and compares and analyzes the predicted displacement with a preset safety threshold to trigger an activation signal; and A multimodal alarm unit is electrically connected to the analysis and processing unit and is used to receive the activation signal and execute an alarm.

2. The foundation pit support early warning device according to claim 1, characterized in that: The foundation pit support early warning device also includes: A data preprocessing unit is electrically connected to the data transmission unit and the analysis and processing unit respectively, and is used to preprocess the monitoring data sent by the data transmission unit.

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