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CN-121999579-A - Soft soil area foundation pit surge monitoring and early warning system and method

CN121999579ACN 121999579 ACN121999579 ACN 121999579ACN-121999579-A

Abstract

The invention relates to the technical field of disaster early warning, in particular to a foundation pit surge monitoring early warning system and method for early warning a foundation pit surge disaster in a soft soil area. According to the invention, the pore water pressure sequence and the free water surface height sequence are vertically grouped according to the depth of the measuring point, and the standard deviation of the water head difference is calculated, so that the local water pressure disturbance abnormal region can be effectively identified, the asynchronous response characteristics between the deformation rates of the soil body and the supporting structure are accurately extracted by combining the difference fitting analysis of the multisource monitoring sequences such as horizontal displacement, structural strain and deformation curvature, the normalized disaster causing factor matrix is constructed based on a plurality of mechanical indexes, the early warning grade is judged by combining continuous duration and multi-factor overrun, the timeliness and grading accuracy of the identification of the sudden surge disaster are improved, and the response sensitivity and the field adaptation capability of the early warning system are enhanced.

Inventors

  • YU XIAOYANG
  • SUN YINGBO
  • Zhou Chunzheng
  • LUO XUEJUN

Assignees

  • 山东省鲁南地质工程勘察院(山东省地质矿产勘查开发局第二地质大队)

Dates

Publication Date
20260508
Application Date
20260213

Claims (10)

  1. 1. Pit surge disaster early warning soft soil area pit surge monitoring early warning system, its characterized in that, the system includes: The seepage pressure fluctuation monitoring module acquires real-time monitoring data in a foundation pit in a soft soil area, calculates a time sequence standard deviation sequence of a water head difference value in a unit time period, screens and marks a measuring point position of which the standard deviation exceeds a three-time sample standard deviation threshold value, and generates burst seepage pressure abnormal distribution information; The deformation trend extraction module performs difference analysis on the soil horizontal displacement change rate and the support structure deformation rate based on the marked measuring point areas in the surge osmotic pressure abnormal distribution information, extracts the maximum difference point position and time, and generates a surge area deformation gradient abnormal list; The sudden surge disaster-causing recognition module performs normalization processing on the increase rate of pore water pressure and the stress increase ratio of the support structure according to key position points marked in the sudden surge region deformation gradient abnormal list, combines the normalized normalization processing with the decrease rate of the anti-swelling safety coefficient to form a disaster-causing factor combination matrix, and counts the time period and the position of three factors in the combination matrix reaching a preset trigger judgment threshold value at the same time to generate a sudden surge disaster trigger symptom distribution table; The threshold dynamic correction module calls the accumulated frequency of symptoms and the range value of fluctuation of pore water pressure in each grading area in the surge disaster triggering symptom distribution table, performs mapping matching with a precipitation operation period and an excavation depth section in a current construction log, calculates a risk contribution coefficient, performs linear weighting correction on a preset risk threshold, and generates a surge early warning threshold table in an operation stage; And the disaster early warning output module counts continuous time length exceeding the corrected risk threshold according to the surge triggering limit value of the current period in the surge early warning threshold table in the working stage, carries out distribution marking on monitoring points with the continuous time length exceeding a set time threshold, judges early warning levels according to the number of overrun factors and the accumulated time length, and generates a foundation pit surge level early warning layout.
  2. 2. The foundation pit surge monitoring and early warning system for early warning of foundation pit surge disasters in soft soil areas according to claim 1, wherein surge osmotic pressure abnormal distribution information comprises abnormal measuring point spatial position distribution, an abnormal water head gradient change zone and abnormal fluctuation amplitude level identification, a surge area deformation gradient abnormal list comprises a displacement-strain difference coordinate point set, gradient change abnormal grades and difference critical mutation labels, a surge disaster triggering sign distribution list comprises disaster causing factor intensity grades, triggering sign occurrence frequency and partition sign accumulation statistical values, a working stage surge early warning threshold list comprises a pore water pressure limit value set, a structure strain tolerance boundary and a risk grade classification limit value set, and a foundation pit surge grade early warning layout comprises an early warning grade spatial layer, grade corresponding measuring points and a multi-factor synchronous overrun partition.
  3. 3. The soft soil area foundation pit surge disaster warning soft soil area foundation pit surge monitoring and early warning system according to claim 1, wherein the osmotic pressure fluctuation monitoring module comprises: The data flow receiving submodule acquires real-time monitoring data in a foundation pit in a soft soil area, and comprises a pore water pressure sequence acquired by a distributed pore water pressure sensor and a free water surface height sequence recorded by a ground water level meter, extracts a burial depth coordinate value corresponding to a monitoring point, establishes a structured monitoring data set based on a measuring point number index, and generates a multisource monitoring sequence index set; The water head difference calculation sub-module vertically groups the time series of pore water pressure and free water surface height according to the burial depth coordinate of each measuring point in the multisource monitoring sequence index set, calculates water head differences of adjacent monitoring periods of the same group of measuring point sequences in a time slice-by-time slice manner, and constructs a time axis standard deviation array based on each group of difference sequences to obtain a grouped water head difference fluctuation standard deviation sequence; and the abnormal measuring point screening submodule calls the grouping water head difference fluctuation standard deviation sequence, sets a fluctuation abnormal judgment threshold according to three times of sample standard deviation, compares the threshold value of each measuring point standard deviation in the sequence, marks the measuring point number exceeding the fluctuation abnormal judgment threshold value and the space coordinate position, and generates gushing osmotic pressure abnormal distribution information.
  4. 4. The soft soil area foundation pit surge disaster warning soft soil area foundation pit surge monitoring and warning system according to claim 1, wherein the deformation trend extraction module comprises: The deformation data calling submodule calls a horizontal displacement time sequence corresponding to a horizontal soil body displacement monitoring point number and an axial strain sequence and a deformation curvature sequence corresponding to a support structure strain gauge number in the same area based on the measuring point area numbers recorded in the surge osmotic pressure abnormal distribution information, and carries out structural arrangement on each sequence according to the measuring point numbers and the time stamps to generate a structural deformation monitoring data set; The change rate calculation sub-module respectively carries out least square linear fitting processing on the horizontal displacement time sequence, the axial strain sequence and the deformation curvature sequence according to the numerical value point set of each time sequence in the structural deformation monitoring data set, extracts fitting slopes corresponding to each time sequence, and files the corresponding slopes of the measuring points in groups according to the sequence types to obtain a sub-deformation change rate index set; And the gradient difference extraction submodule calls the horizontal displacement change rate and the support structure deformation rate in the index set of the sub-deformation change rate, performs absolute value difference operation on each sub-according to the measuring point numbers, extracts the maximum difference item in the difference result, records the corresponding measuring point number and the time stamp, and generates a sudden-surge area deformation gradient anomaly list.
  5. 5. The foundation pit surge monitoring and early warning system for the soft soil area according to claim 1, the surge disaster-causing recognition module is characterized by comprising: The factor data extraction submodule extracts a pore water pressure time sequence at the position based on the key measuring point position marked in the gushing region deformation gradient abnormal list, acquires a pore water pressure growth rate through continuous time slice difference value calculation, extracts a stress monitoring time sequence of a supporting structure at the same position, calculates a stress amplification ratio in unit time, acquires anti-bulge safety coefficient data included in regional stratum structure information, and generates a gushing factor original value set; The index normalization combination submodule calls the ratio of the increase rate of pore water pressure in the original value set of the surge factors to the increase rate of stress of the supporting structure, performs normalization processing by adopting a maximum and minimum interval scaling method, calculates the descent rate of the anti-swelling safety coefficient in a time period, and combines three results according to the number and time sequence of measuring points to establish a three-factor data corresponding matrix to obtain a normalization standard disaster-causing factor matrix; And the triggering judgment screening sub-module screens the number and the time label of the measuring points, of which the three factors reach the preset triggering judgment threshold value at the same time, according to the three factor values corresponding to each group of measuring points in the normalized standard disaster causing factor matrix in any time period, records the spatial distribution and the triggering frequency, and generates a sudden surge disaster triggering sign distribution table.
  6. 6. The system for early warning of a foundation pit surge in a soft soil area according to claim 5, wherein the triggering judgment threshold is set according to statistical distribution analysis of three-factor normalization values in samples of a plurality of pre-surge measuring points, interval distribution ranges of each factor value under a plurality of level working conditions are identified, frequency clustering analysis is performed on normalized groups of three-factor combinations, critical lower limit values in concentrated distribution intervals of three-factor combination values when a surge event occurs are extracted, and the critical lower limit values are set as triggering judgment thresholds.
  7. 7. The soft soil area foundation pit surge disaster warning soft soil area foundation pit surge monitoring and warning system according to claim 1, wherein the threshold dynamic correction module comprises: The operation information mapping submodule acquires the accumulated symptom frequency and the pore water pressure fluctuation range interval value recorded in each grading area in the surge disaster triggering symptom distribution table, invokes the rainfall operation time period and the excavation depth section information of the corresponding subarea in the construction log, performs one-to-one mapping according to the space number and the time label, establishes an index combination mapping table and generates a section operation symptom association data set; The risk coefficient calculation submodule is used for constructing a differential weight structure based on the symptom frequency value, the fluctuation amplitude interval value and the duration value of the corresponding operation stage of each group of data in the section operation symptom association data set, taking the duration value reflecting the operation disturbance persistence as a leading factor according to the response intensity difference reflected in the process of sudden surge disaster by three indexes, taking the fluctuation amplitude interval value and the symptom frequency as secondary factors, and executing normalization and weighting combination calculation on the three indexes to obtain the total risk value of each section and sequencing according to numbers to generate an operation risk contribution coefficient sequence; And the threshold value weighting and correcting sub-module carries out linear weighting adjustment with a preset risk threshold value according to the total amount of risk values of each section in the operation risk contribution coefficient sequence to obtain a corrected risk threshold value, and establishes an operation stage surge early warning threshold value table.
  8. 8. The system for early warning of a foundation pit surge in a soft soil area according to claim 7, wherein the process of constructing the differential weight structure is specifically to construct the differential weight structure by taking a duration value reflecting the duration of operation disturbance as a leading factor and a fluctuation amplitude interval value and a symptom frequency as secondary factors according to response intensity differences reflected by three indexes in the process of causing the surge to occur.
  9. 9. The soft soil area foundation pit surge disaster warning soft soil area foundation pit surge monitoring and early warning system according to claim 1, wherein the disaster early warning output module comprises: The monitoring data comparison sub-module acquires a corrected risk threshold value in the surge early warning threshold value table in the working stage, wherein the risk threshold value comprises a pore water pressure limit value, an axial strain limit value and a pit bottom displacement limit value corresponding to the current construction time period, synchronously invokes a pore water pressure increase rate, a support structure axial strain value and a pit bottom displacement value which are acquired in real time, respectively carries out section matching and numerical comparison on three indexes, records an overrun state mark according to a measuring point number, and generates a measuring point overrun state sequence set; The continuous time length identification submodule carries out time length statistics on the continuous time period according to the continuous overrun mark states of the measuring points recorded in the overrun state sequence set of the measuring points, judges whether the continuous overrun time length in each measuring point exceeds a preset time threshold value, and gathers the measuring point numbers meeting the conditions and the space coordinates to obtain a surge risk continuous overrun measuring point set; And the level layer plotting submodule calls the overrun factor number and the duration of each measuring point in the surge risk continuous overrun measuring point set, respectively carries out double-factor level distribution on the overrun factor number and the overrun duration according to a five-level system standard, constructs two-dimensional layer distribution according to the space position, fills the corresponding layer color code according to the level value, and establishes a foundation pit surge level early-warning layout.
  10. 10. The method for monitoring and early warning of foundation pit surges in a soft soil area, which is characterized in that the system for monitoring and early warning of foundation pit surges in a soft soil area, which is used for early warning of foundation pit surges in a soft soil area, is executed according to any one of claims 1-9, and comprises the following steps: S1, acquiring real-time monitoring data in a foundation pit in a soft soil area, calculating a time sequence standard deviation sequence of a water head difference value in a unit time period, screening and marking measuring point positions with the standard deviation exceeding a three-time sample standard deviation threshold value, and generating gushing osmotic pressure abnormal distribution information; S2, carrying out difference analysis on the soil horizontal displacement change rate and the support structure deformation rate based on the marked measuring point areas in the surge osmotic pressure abnormal distribution information, extracting the maximum difference point position and time, and generating a surge area deformation gradient abnormal list; S3, carrying out normalization standardization treatment on the increase rate of pore water pressure and the stress increase ratio of the support structure according to key position points marked in the abnormal list of the deformation gradient of the sudden gushing area, combining the pore water pressure increase rate with the decrease rate of the anti-swelling safety coefficient to form a disaster-causing factor combination matrix, and counting the time period and the position of three factors in the combination matrix reaching a preset trigger judgment threshold value at the same time to generate a sudden gushing disaster trigger symptom distribution table; S4, calling a symptom accumulation frequency and a pore water pressure fluctuation range interval value in each grading area in the sudden surge disaster triggering symptom distribution table, mapping and matching with a precipitation operation period and an excavation depth section in a current construction log, calculating a risk contribution coefficient, carrying out linear weighting correction on a preset risk threshold value, and generating an operation stage sudden surge early warning threshold value table; And S5, counting continuous time length exceeding the corrected risk threshold according to the surge triggering limit value of the current period in the surge early warning threshold table of the working stage, carrying out distribution marking on monitoring points with the continuous time length exceeding a set time threshold, judging early warning levels according to the number of overrun factors and the accumulated time length, and generating a foundation pit surge level early warning layout.

Description

Soft soil area foundation pit surge monitoring and early warning system and method Technical Field The invention relates to the technical field of disaster early warning, in particular to a foundation pit surge monitoring early warning system and method for early warning of foundation pit surge disasters in a soft soil area. Background The technical field of disaster early warning relates to the development and application of a prediction and early warning system aiming at natural disasters, emergencies or environmental changes, and aims to timely release early warning information through real-time data acquisition, processing and analysis so as to reduce or avoid damage to personnel, property and environment caused by disasters. The core matters in the field comprise construction of a disaster early warning model, transmission and release of early warning information, evaluation of disaster influence and optimization of a disaster early warning system. Specifically, the disaster early warning technology field covers early warning technologies for various disasters such as earthquake, flood, typhoon, landslide, debris flow and the like, and is widely applied to various fields such as weather, environment monitoring, geological disaster monitoring and the like. By using various sensors, monitoring equipment and data analysis means, the disaster early warning system can realize quick identification and timely response to potential disasters. The foundation pit surge monitoring and early warning system for the foundation pit surge disaster early warning soft soil areas in the traditional soft soil areas is used for monitoring and early warning the surge disaster possibly occurring in the foundation pit construction process in the soft soil areas. The system mainly detects environmental parameters such as soil change, water level in the foundation pit, groundwater flow speed and the like in real time through sensors arranged around the foundation pit, and performs data processing and analysis by combining technical means such as a soil mechanics model, foundation pit stability analysis and the like. Conventional foundation pit surge disaster early warning systems typically monitor the pressure, displacement, and water flow conditions of the soil surrounding the foundation pit in real time and set thresholds to identify possible surge risks. Based on the monitoring data, the system judges the occurrence probability of the surge disaster through a predictive analysis model, and then sends out an early warning signal to remind constructors to take necessary precautionary measures. Disclosure of Invention In order to solve the technical problems in the prior art, the embodiment of the invention provides a foundation pit surge monitoring and early warning system and method for early warning a foundation pit surge disaster in a soft soil area. The technical scheme is as follows: In one aspect, a foundation pit surge monitoring and early warning system for early warning of a foundation pit surge disaster in a soft soil area is provided, and the system comprises: The seepage pressure fluctuation monitoring module acquires real-time monitoring data in a foundation pit in a soft soil area, calculates a time sequence standard deviation sequence of a water head difference value in a unit time period, screens and marks a measuring point position of which the standard deviation exceeds a three-time sample standard deviation threshold value, and generates burst seepage pressure abnormal distribution information; The deformation trend extraction module performs difference analysis on the soil horizontal displacement change rate and the support structure deformation rate based on the marked measuring point areas in the surge osmotic pressure abnormal distribution information, extracts the maximum difference point position and time, and generates a surge area deformation gradient abnormal list; The sudden surge disaster-causing recognition module performs normalization processing on the increase rate of pore water pressure and the stress increase ratio of the support structure according to key position points marked in the sudden surge region deformation gradient abnormal list, combines the normalized normalization processing with the decrease rate of the anti-swelling safety coefficient to form a disaster-causing factor combination matrix, and counts the time period and the position of three factors in the combination matrix reaching a preset trigger judgment threshold value at the same time to generate a sudden surge disaster trigger symptom distribution table; The threshold dynamic correction module calls the accumulated frequency of symptoms and the range value of fluctuation of pore water pressure in each grading area in the surge disaster triggering symptom distribution table, performs mapping matching with a precipitation operation period and an excavation depth section in a current construction log, calculates a risk con