CN116822945A - Foundation pit risk analysis management system based on monitoring data - Google Patents
Foundation pit risk analysis management system based on monitoring data Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 181
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- 238000006073 displacement reaction Methods 0.000 claims abstract description 141
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Abstract
The invention relates to the technical field of foundation pit risk analysis, and particularly discloses a foundation pit risk analysis management system based on monitoring data, which comprises a foundation pit geological monitoring analysis module, a foundation pit displacement monitoring analysis module, a foundation pit support monitoring analysis module, a foundation pit environment acquisition analysis module, a foundation pit risk assessment module and an early warning terminal; according to the invention, the foundation pit risk is automatically monitored through the four layers of foundation pit geology, foundation pit displacement, foundation pit support and foundation pit environment, the problems of long time consumption period, complicated survey process and the like in a periodic survey risk analysis mode of risk supervision personnel are effectively solved, the error of risk monitoring and evaluation is reduced, the rationality, the accuracy and the reliability of a risk analysis result are ensured, and when the risk evaluation coefficient of a target foundation pit reaches an early warning value, a foundation pit safety prevention instruction is started, so that the timeliness of the risk supervision personnel on abnormal risk detection and the processing efficiency of the abnormal risk are improved.
Description
Technical Field
The invention relates to the technical field of foundation pit risk analysis, in particular to a foundation pit risk analysis management system based on monitoring data.
Background
The building foundation pit is used for underground building construction, and along with the extension of service time, the risk problems such as earthwork overturning, support structure instability and the like can appear in the building foundation pit, and these risks can lead to constructors casualties, material loss, construction progress delay and the like, therefore, need to carry out risk monitoring analysis to the foundation pit.
The existing foundation pit risk monitoring analysis mainly carries out periodic survey by a risk supervision staff going to a foundation pit site and carries out risk analysis according to a survey result, and obviously, the analysis mode has the following problems: 1. the method for risk analysis according to the manual survey results is long in time-consuming period, complicated in the survey process, high in error, incapable of ensuring the rationality and reliability of the risk analysis results, and incapable of ensuring the timeliness and instantaneity of foundation pit risk treatment in a periodic monitoring mode, so that the treatment efficiency of abnormal risks is reduced, and the engineering cost is further increased.
2. And (3) performing risk analysis only according to the appearance information of the foundation pit, and performing comprehensive foundation pit risk analysis without combining the dynamic rule of the foundation pit, so that the analysis depth is insufficient, the risk condition of the current foundation pit can be judged, and the possibility of the foundation pit risk cannot be predicted.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, a foundation pit risk analysis management system based on monitoring data is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a foundation pit risk analysis management system based on monitoring data, which comprises the following steps: the foundation pit geological monitoring analysis module is used for monitoring soil parameters and underground water levels of a monitoring area where a target foundation pit is located on a target building site in each monitoring time period, and further analyzing and obtaining a risk assessment coefficient phi corresponding to a foundation pit geological layer Ground (floor) 。
The foundation pit displacement monitoring and analyzing module is used for monitoring the displacement change state of the target foundation pit to obtain each monitoring time periodHorizontal displacement and vertical displacement, and further analyzing to obtain risk assessment coefficient phi corresponding to foundation pit displacement layer Bit position 。
The foundation pit supporting monitoring analysis module is used for monitoring the supporting state of the target foundation pit to obtain the corrosiveness, the deformability and the verticality of each supporting upright post, and further analyzing to obtain a risk assessment coefficient phi corresponding to the foundation pit supporting layer Support frame 。
The foundation pit environment acquisition and analysis module is used for setting a monitoring range, acquiring the area of the set monitoring environment range, the occupied area of each building and the linear distance between the building and a target foundation pit, and further analyzing to obtain a risk assessment coefficient phi corresponding to the foundation pit environment layer Ring(s) 。
And the foundation pit risk assessment module is used for calculating a risk assessment coefficient psi of the target foundation pit.
And the early warning terminal is used for starting the foundation pit safety prevention instruction when the risk assessment coefficient of the target foundation pit is greater than or equal to a set value.
Specifically, each soil parameter comprises a soil pH value, a porosity and a humidity corresponding to each soil monitoring subarea.
Specifically, the analysis obtains a risk assessment coefficient corresponding to the foundation pit geological layer, and the specific analysis process is as follows: a1, extracting soil pH value, porosity and humidity from each soil parameter of each soil monitoring subarea in each monitoring time period, and respectively marking as beta ij 、χ ij and δij Where i represents a soil monitoring sub-region number, i=1, 2,..n, j represents a monitoring period number, j=1, 2,..m.
A2, calculating a soil state coincidence coefficient xi corresponding to each soil monitoring sub-region in each monitoring time period ij ，
Wherein, beta ', χ ' and delta ' respectively represent the pH value, the porosity and the humidity of the soil for setting reference, and delta beta, Δχ and delta respectively represent the pH value deviation, the porosity deviation and the humidity of the soil for setting referenceDeviation of humidity, a 1 、a 2 and a3 Respectively representing that the set soil pH value, porosity and humidity correspond to the soil state and accord with the duty ratio weight, and gamma 1 Indicating that the set soil state meets the correction factor.
A3, carrying out average value calculation on the soil state coincidence coefficients of the soil monitoring subareas corresponding to the monitoring time periods to obtain average soil state coincidence coefficients of the soil monitoring subareas, carrying out difference making on the average soil state coincidence coefficients of the soil monitoring subareas and the set soil state coincidence coefficients to obtain soil state coincidence coefficient differences, and extracting the largest soil state coincidence coefficient difference from the soil state coincidence coefficient differences and recording the largest soil state coincidence coefficient difference as delta zeta.
A4, calculating the soil homogeneity lambda corresponding to the soil monitoring area,wherein, xi 'and delta xi' respectively represent the average soil state conforming coefficient and the maximum soil state conforming coefficient difference, h of the set reference 1 and h2 The average soil state compliance coefficient and the maximum soil state compliance coefficient difference are respectively set, the soil homogeneity ratio weight is corresponding to the soil homogeneity ratio difference, and Y is the set soil homogeneity ratio correction factor.
A5, respectively extracting soil state coincidence coefficients corresponding to the first monitoring time period and the last monitoring time period from the soil state coincidence coefficients corresponding to the monitoring time periods of each soil monitoring sub-region, and respectively marking as xi 1 and ξ2 And simultaneously extracting the first monitoring time period and the last monitoring time period, and further acquiring the monitoring interval duration corresponding to the first monitoring time period and the last monitoring time period, and recording the monitoring interval duration as deltat.
A6, calculating the soil change rate zeta corresponding to each soil monitoring area i ，
A7, calculating a risk evaluation coefficient epsilon soil corresponding to the soil layer,wherein lambda 'and ζ' respectively represent the soil homogeneity and average change rate of the set reference, a 4 and a5 Respectively representing the set soil homogeneity and average change rate corresponding to the risk assessment duty ratio weight gamma 2 And representing the risk assessment correction factors corresponding to the set soil layers.
A8, calculating a risk evaluation coefficient epsilon corresponding to the underground water level surface Water and its preparation method 。
A9, calculating a risk evaluation coefficient phi corresponding to the foundation pit geological layer Ground (floor) ，
wherein ,a6 and a7 Respectively representing the set risk evaluation duty ratio weights of the soil layer and the foundation pit geological layer corresponding to the groundwater level layer, and gamma 3 And e represents a natural constant.
Specifically, the risk assessment coefficient corresponding to the foundation pit displacement layer is obtained through analysis, and the specific analysis process is as follows: b1, sequencing the monitoring time periods according to time sequence to obtain the monitoring sequences.
B2, constructing a horizontal displacement change curve by taking the monitoring sequence as an abscissa and horizontal displacement as an ordinate, positioning a slope value from the curve, and marking the slope value as a horizontal displacement change rate as K 1 。
B3, obtaining the vertical displacement change rate by the same analysis according to the analysis mode of the horizontal displacement change rate, and marking the vertical displacement change rate as K 2 。
B4, calculating a risk assessment coefficient phi corresponding to the foundation pit displacement layer Bit position ，
wherein ,ω1 and ω2 The correction factors of the displacement change rates corresponding to the horizontal displacement and the vertical displacement are respectively shown as K' 1 and K′2 Respectively representing the displacement change rates corresponding to the horizontal displacement and the vertical displacement of the set reference, b 1 and b2 And respectively representing the set horizontal displacement and the set vertical displacement corresponding to the risk evaluation duty ratio weight of the foundation pit displacement layer.
Specifically, the displacement change rate correction factors corresponding to the horizontal displacement and the vertical displacement are both in the same setting mode, wherein the setting process of the displacement change rate correction factor corresponding to the horizontal displacement is as follows: and C1, performing difference between the horizontal displacement corresponding to each monitoring time period and the set allowable horizontal displacement to obtain horizontal displacement deviation corresponding to each monitoring time period.
C2, counting the number of monitoring time periods with the horizontal displacement deviation not being 0, and recording as M as the number of deviation monitoring time periods 0 。
C3, extracting the maximum horizontal displacement deviation and the minimum horizontal displacement deviation from the horizontal displacement deviation corresponding to each monitoring time period, and respectively marking as x Big size and xSmall size 。
C4, calculating a displacement change rate correction factor omega corresponding to the horizontal displacement 1 ， wherein ,M′0 、x′ Big size and x′Small size Respectively representing the number of deviation monitoring time periods, the maximum horizontal displacement deviation and the minimum horizontal displacement deviation of the set reference, b 3 、b 4 and b5 The set number of deviation monitoring time periods, the maximum horizontal displacement deviation and the minimum horizontal displacement deviation are respectively represented as the duty ratio weights of the horizontal displacement change rate correction factors.
Specifically, the analysis obtains a risk assessment coefficient corresponding to the foundation pit supporting layer, wherein the specific analysis process comprises the steps of D1, respectively marking the corrosiveness, the deformability and the verticality of each supporting upright post asθ s and xs Where s represents the support column number, s=1, 2.
D2, calculate eachSafety coefficient corresponding to supporting upright post
wherein ,θ 'and x' respectively represent corrosiveness, deformability and verticality of the set reference, c 1 、c 2 and c3 Respectively representing the safety evaluation duty ratio weight, gamma corresponding to the set corrosiveness, deformation degree and verticality 4 Indicating the set safety factor correction factor.
D3, if the safety coefficient corresponding to a certain supporting upright post is smaller than the safety coefficient of the set permission, judging the supporting upright post as a risk upright post, counting the number of the risk upright posts, and marking the number as M Wind power 。
D4, carrying out average value calculation on the safety coefficients corresponding to the supporting upright posts to obtain average safety coefficients, and recording the average safety coefficients as
D5, calculating a risk assessment coefficient phi corresponding to the foundation pit supporting layer Support frame ，
wherein ,M′Wind power Andrespectively representing the number of risk posts and the average safety coefficient of the set reference, c 4 and c5 Respectively representing the set risk upright post number and the risk evaluation duty ratio weight of the foundation pit supporting structure layer corresponding to the average safety coefficient, and gamma 5 And representing the risk assessment correction factors corresponding to the set foundation pit supporting structure layer.
Specifically, the analysis results in a baseThe risk assessment coefficient corresponding to the pit environment layer comprises the following specific analysis processes: e1, respectively marking the occupied area of each building with the set monitoring environment range and the linear distance between each building and the target foundation pit as and τk Where k represents a building number, k=1, 2,..i.
E2, calculating the building density eta, wherein ,/>Represents the area of the set monitoring environment range, l represents the number of buildings within the set monitoring environment range, d 1 and d2 The number of buildings and the area ratio are respectively set, and the density ratio weight of the buildings is corresponding to the area ratio.
E3, calculating risk assessment coefficient phi corresponding to foundation pit environment layer Ring(s) ，
Wherein η 'and τ' each represent the concentration and average linear distance, d, of the set reference 3 and d4 Respectively representing the set density and average linear distance corresponding to the risk evaluation duty ratio weight of the foundation pit environment layer, gamma 6 And representing the risk assessment correction factors corresponding to the set foundation pit environment levels.
Specifically, the calculation formula of the risk assessment coefficient of the target foundation pit is as follows:
wherein ,d5 、d 6 、d 7 and d8 Respectively representing the set geology of the foundation pit, the displacement of the foundation pit, the support of the foundation pit and the foundation pitEnvironment-corresponding target foundation pit risk assessment duty ratio weight, gamma 7 And representing the set target foundation pit risk assessment correction factor.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, the foundation pit risk is automatically monitored through the four layers of foundation pit geology, foundation pit displacement, foundation pit support and foundation pit environment, and the risk evaluation coefficient of the target foundation pit is calculated, so that the risk condition of the target foundation pit is intuitively displayed, the problems of long time consumption period, complex survey process and the like in a periodic risk analysis mode of surveying by risk supervision staff are effectively solved, the error of risk monitoring evaluation is reduced, the rationality, the accuracy and the reliability of a risk analysis result are ensured, and the running safety of subsequent construction engineering is also ensured.
(2) According to the method, the depth analysis of the risk of the foundation pit geologic layer is carried out according to the soil homogeneity, the soil change rate and the underground water level change, the risk assessment coefficient corresponding to the foundation pit geologic layer is obtained through calculation, the multidimensional analysis of the risk corresponding to the foundation pit geologic layer is realized, the reliability of the analysis result of the risk corresponding to the foundation pit geologic layer is guaranteed, the coverage rate of the risk analysis corresponding to the foundation pit geologic layer is improved, and a more reliable data support foundation is provided for the risk assessment of a subsequent target foundation pit.
(3) According to the invention, when the risk assessment coefficient of the target foundation pit reaches the early warning value, the foundation pit safety prevention instruction is started, so that the timely detection and instantaneity of the risk supervision personnel on the abnormal risk are improved, the processing efficiency of the risk supervision personnel on the abnormal risk is improved, and the potential risk of foundation pit overturning is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram showing the connection of the system modules according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a foundation pit risk analysis management system based on monitoring data, including: the system comprises a foundation pit geological monitoring and analyzing module, a foundation pit displacement monitoring and analyzing module, a foundation pit support monitoring and analyzing module, a foundation pit environment acquisition and analyzing module, a foundation pit risk evaluating module and an early warning terminal.
The foundation pit geological monitoring analysis module, the foundation pit displacement monitoring analysis module, the foundation pit support monitoring analysis module and the foundation pit environment acquisition analysis module are all connected with the foundation pit risk assessment module, and the foundation pit risk assessment module is connected with the early warning terminal.
The foundation pit geological monitoring analysis module is used for monitoring soil parameters and underground water levels of a monitoring area where a target foundation pit is located on a target building site in each monitoring time period, and further analyzing to obtain a risk assessment coefficient phi corresponding to a foundation pit geological layer Ground (floor) 。
In a specific embodiment of the present invention, each soil parameter includes a soil pH, a porosity, and a humidity corresponding to each soil monitoring sub-region.
The dividing mode of each soil monitoring subarea is as follows: and carrying out external expansion on the target foundation pit according to the set expansion distance to obtain an external expansion area, and equally dividing the external expansion area into soil monitoring subareas.
The pH value, the porosity and the humidity of the soil are obtained through monitoring by a soil monitor.
In a specific embodiment of the invention, the analysis results in risk assessment corresponding to the geological formation of the foundation pitThe specific analysis process of the coefficients is as follows: a1, extracting soil pH value, porosity and humidity from each soil parameter of each soil monitoring subarea in each monitoring time period, and respectively marking as beta ij 、χ ij and δij Where i represents a soil monitoring sub-region number, i=1, 2,..n, j represents a monitoring period number, j=1, 2,..m.
A2, calculating a soil state coincidence coefficient xi corresponding to each soil monitoring sub-region in each monitoring time period ij ，
Wherein, beta ', χ ' and delta ' respectively represent the pH value, the porosity and the humidity of the soil to be set and reference, and delta beta, Δχ and delta respectively represent the pH value deviation, the porosity deviation and the humidity deviation of the soil to be set and reference, a 1 、a 2 and a3 Respectively representing that the set soil pH value, porosity and humidity correspond to the soil state and accord with the duty ratio weight, and gamma 1 Indicating that the set soil state meets the correction factor.
A3, carrying out average value calculation on the soil state coincidence coefficients of the soil monitoring subareas corresponding to the monitoring time periods to obtain average soil state coincidence coefficients of the soil monitoring subareas, carrying out difference making on the average soil state coincidence coefficients of the soil monitoring subareas and the set soil state coincidence coefficients to obtain soil state coincidence coefficient differences, and extracting the largest soil state coincidence coefficient difference from the soil state coincidence coefficient differences and recording the largest soil state coincidence coefficient difference as delta zeta.
A4, calculating the soil homogeneity lambda corresponding to the soil monitoring area,wherein, xi 'and delta xi' respectively represent the average soil state conforming coefficient and the maximum soil state conforming coefficient difference, h of the set reference 1 and h2 Respectively representing the set average soil state coincidence coefficient and the maximum soil state coincidence coefficient difference corresponding to the soil homogeneity degree duty ratio weight,y represents the set soil homogeneity correction factor.
A5, respectively extracting soil state coincidence coefficients corresponding to the first monitoring time period and the last monitoring time period from the soil state coincidence coefficients corresponding to the monitoring time periods of each soil monitoring sub-region, and respectively marking as xi 1 and ξ2 And simultaneously extracting the first monitoring time period and the last monitoring time period, and further acquiring the monitoring interval duration corresponding to the first monitoring time period and the last monitoring time period, and recording the monitoring interval duration as deltat.
A6, calculating the soil change rate zeta corresponding to each soil monitoring area i ，
A7, calculating a risk evaluation coefficient epsilon soil corresponding to the soil layer,wherein lambda 'and ζ' respectively represent the soil homogeneity and average change rate of the set reference, a 4 and a5 Respectively representing the set soil homogeneity and average change rate corresponding to the risk assessment duty ratio weight gamma 2 And representing the risk assessment correction factors corresponding to the set soil layers.
A8, calculating a risk evaluation coefficient epsilon corresponding to the underground water level surface Water and its preparation method 。
It should be noted that, the calculating the risk assessment coefficient corresponding to the groundwater level surface specifically includes: and F1, comparing the underground water levels corresponding to the monitoring time periods to obtain the underground water level difference of the monitoring time periods.
And F2, screening out the largest underground water level difference from the underground water level differences in each monitoring time period, and marking the largest underground water level difference as delta H.
F3, respectively extracting the highest water level and the lowest water level from the groundwater level corresponding to each monitoring time period, and respectively marking as H High height and HLow and low And simultaneously extracting the monitoring time periods corresponding to the highest water level and the lowest water level, and further acquiring the monitoring interval duration corresponding to the highest water level and the lowest water level, and marking as t.
F5, calculating the water level change rate zeta corresponding to the underground water level Water and its preparation method ，
F6, calculating a risk assessment coefficient epsilon corresponding to the underground water level surface Water and its preparation method ，Wherein DeltaH 'and ζ' Water and its preparation method Respectively representing the maximum underground water level difference and the water level change rate of the set reference, a 8 and a9 The corresponding risk assessment duty ratio weights of the maximum ground water level difference and the water level change rate are respectively shown, and gamma is calculated 8 And representing the risk assessment correction factors corresponding to the set ground water level.
A9, calculating a risk evaluation coefficient phi corresponding to the foundation pit geological layer Ground (floor) ，
wherein ,a6 and a7 Respectively representing the set risk evaluation duty ratio weights of the soil layer and the foundation pit geological layer corresponding to the groundwater level layer, and gamma 3 And e represents a natural constant.
According to the embodiment of the invention, the risk assessment coefficient corresponding to the foundation pit geological layer is obtained through calculation by carrying out the depth analysis of the foundation pit geological layer risk according to the soil homogeneity, the soil change rate and the groundwater level change, so that the multidimensional analysis of the foundation pit geological layer corresponding risk is realized, the reliability of the foundation pit geological layer corresponding risk analysis result is ensured, the coverage rate of the foundation pit geological layer corresponding risk analysis is also improved, and a more reliable data support foundation is provided for the subsequent risk assessment of the target foundation pit.
The foundation pit displacement monitoring and analyzing module is used for monitoring the displacement change state of the target foundation pit to obtain horizontal displacement and vertical displacement of each monitoring time period, and further analyzing to obtain wind corresponding to the foundation pit displacement layerRisk assessment coefficient phi Bit position 。
The horizontal displacement and the vertical displacement are respectively obtained through monitoring of displacement sensors arranged in the horizontal direction and the vertical direction of the foundation pit.
In a specific embodiment of the present invention, the analyzing obtains a risk assessment coefficient corresponding to the foundation pit displacement layer, and the specific analyzing process is as follows: b1, sequencing the monitoring time periods according to time sequence to obtain the monitoring sequences.
B2, constructing a horizontal displacement change curve by taking the monitoring sequence as an abscissa and horizontal displacement as an ordinate, positioning a slope value from the curve, and marking the slope value as a horizontal displacement change rate as K 1 。
B3, obtaining the vertical displacement change rate by the same analysis according to the analysis mode of the horizontal displacement change rate, and marking the vertical displacement change rate as K 2 。
B4, calculating a risk assessment coefficient phi corresponding to the foundation pit displacement layer Bit position ，
wherein ,ω1 and ω2 The correction factors of the displacement change rates corresponding to the horizontal displacement and the vertical displacement are respectively shown as K' 1 and K′2 Respectively representing the displacement change rates corresponding to the horizontal displacement and the vertical displacement of the set reference, b 1 and b2 And respectively representing the set horizontal displacement and the set vertical displacement corresponding to the risk evaluation duty ratio weight of the foundation pit displacement layer.
In a specific embodiment of the present invention, the displacement change rate correction factors corresponding to the horizontal displacement and the vertical displacement are the same setting manner, wherein the setting process of the displacement change rate correction factor corresponding to the horizontal displacement is: : and C1, performing difference between the horizontal displacement corresponding to each monitoring time period and the set allowable horizontal displacement to obtain horizontal displacement deviation corresponding to each monitoring time period.
C2, counting the number of monitoring time periods with the horizontal displacement deviation not being 0, and taking the number as the deviation monitoring time periodThe number of the intervals is recorded as M 0 。
C3, extracting the maximum horizontal displacement deviation and the minimum horizontal displacement deviation from the horizontal displacement deviation corresponding to each monitoring time period, and respectively marking as x Big size and xSmall size 。
C4, calculating a displacement change rate correction factor omega corresponding to the horizontal displacement 1 ， wherein ,M′0 、x′ Big size and x′Small size Respectively representing the number of deviation monitoring time periods, the maximum horizontal displacement deviation and the minimum horizontal displacement deviation of the set reference, b 3 、b 4 and b5 The set number of deviation monitoring time periods, the maximum horizontal displacement deviation and the minimum horizontal displacement deviation are respectively represented as the duty ratio weights of the horizontal displacement change rate correction factors.
According to the embodiment of the invention, the displacement change curves corresponding to the horizontal displacement and the vertical displacement of the foundation pit are analyzed to obtain the risk assessment coefficient corresponding to the displacement layer of the foundation pit, so that the change rule of the foundation pit displacement is intuitively displayed, the sufficiency of risk assessment analysis corresponding to the displacement layer of the foundation pit is improved, the construction safety of subsequent constructors is ensured, and the overdue effect of risk monitoring analysis of the foundation pit is achieved.
The foundation pit supporting monitoring analysis module is used for monitoring the supporting state of the target foundation pit to obtain the corrosiveness, the deformability and the verticality of each supporting upright post, and further analyzing to obtain a risk assessment coefficient phi corresponding to the foundation pit supporting layer Support frame 。
It should be noted that, the statistics of the corresponding corrosiveness, deformation degree and offset angle of each supporting upright post comprises the following specific statistical processes:
g1, corresponding corrosion degree statistics process of each supporting upright post: the number of corrosion positions of each supporting upright post and the corresponding corrosion area of each corrosion position are obtained through monitoring by cameras arranged on the periphery of the target foundation pit and are respectively marked as sigma s and Isz Where z represents the number of each corrosion site, z=1, 2.
Calculating the corresponding corrosiveness of each supporting upright post Wherein sigma 'and I' respectively represent the number of corrosion positions and corrosion area of the set support upright post reference, f 1 and f2 The set number of corrosions and the corresponding corrosion ratio weight of the corrosion area are respectively represented, and p represents the set corrosion correction factor.
G2, the corresponding deformation degree statistics process of each supporting upright post: the method comprises the steps of collecting images of all supporting columns through cameras arranged on the periphery of a target foundation pit, positioning the outline of the supporting column from the collected images of all the supporting columns, and overlapping and comparing the outline of the supporting column with a set standard outline to obtain the overlapping area of the outline of the supporting column and the set standard outline as the overlapping area of the outline of the supporting column.
Through a deformation degree calculation formulaAnd calculating to obtain the deformation degree of each support upright post.
And G3, carrying out a perpendicularity statistical process corresponding to each supporting upright post: and acquiring images of the supporting upright posts through cameras arranged on the periphery of the target foundation pit.
And positioning the center point of each supporting upright post from the acquired image of each supporting upright post, constructing a central line by taking the supporting direction of the supporting upright post as a reference direction, acquiring the included angle between the central line of each supporting upright post and the supporting plane of each supporting upright post, and recording the included angle as a setting deflection angle.
Through a perpendicularity calculation formulaAnd calculating the verticality of each supporting upright post.
In a specific embodiment of the present invention, the analyzing obtains risk assessment coefficients corresponding to the foundation pit support layer, and the risk assessment coefficients are specifically analyzedThe process is D1, the corrosiveness, the deformability and the verticality of each supporting upright post are respectively recorded asθ s and xs Where s represents the support column number, s=1, 2,..qs=1, 2,..q.
D2, calculating the safety coefficient corresponding to each supporting upright post
wherein ,θ 'and x' respectively represent corrosiveness, deformability and verticality of the set reference, c 1 、c 2 and c3 Respectively representing the safety evaluation duty ratio weight, gamma corresponding to the set corrosiveness, deformation degree and verticality 4 Indicating the set safety factor correction factor.
D3, if the safety coefficient corresponding to a certain supporting upright post is smaller than the safety coefficient of the set permission, judging the supporting upright post as a risk upright post, counting the number of the risk upright posts, and marking the number as M Wind power 。
D4, carrying out average value calculation on the safety coefficients corresponding to the supporting upright posts to obtain average safety coefficients, and recording the average safety coefficients as
D5, calculating a risk assessment coefficient phi corresponding to the foundation pit supporting layer Support frame ，
wherein ,M′Wind power Andrespectively representSetting the number of risk posts and the average safety coefficient of the reference, c 4 and c5 Respectively representing the set risk upright post number and the risk evaluation duty ratio weight of the foundation pit supporting structure layer corresponding to the average safety coefficient, and gamma 5 And representing the risk assessment correction factors corresponding to the set foundation pit supporting structure layer.
The foundation pit environment acquisition and analysis module is used for setting a monitoring range, acquiring the area of the set monitoring environment range, the occupied area of each building and the linear distance between the building and a target foundation pit, and further analyzing to obtain a risk evaluation coefficient phi corresponding to the foundation pit environment layer Ring(s) 。
In a specific embodiment of the present invention, the analyzing obtains a risk assessment coefficient corresponding to the foundation pit environment layer, and the specific analyzing process is as follows: e1, respectively marking the occupied area of each building with the set monitoring environment range and the linear distance between each building and the target foundation pit as and τk Where k represents a building number, k=1, 2,..i.
E2, calculating the building density eta, wherein ,/>Represents the area of the set monitoring environment range, l represents the number of buildings within the set monitoring environment range, d 1 and d2 The number of buildings and the area ratio are respectively set, and the density ratio weight of the buildings is corresponding to the area ratio.
E3, calculating risk assessment coefficient phi corresponding to foundation pit environment layer Ring(s) ，
Wherein η 'and τ' each represent the concentration and average linear distance, d, of the set reference 3 and d4 Respectively represent the set concentration andaverage linear distance corresponds to foundation pit environment level risk assessment duty ratio weight, gamma 6 And representing the risk assessment correction factors corresponding to the set foundation pit environment levels.
The floor area of each building is obtained by extracting from the background of a real estate company, the total area is obtained by measuring through an area measuring instrument, and the linear distance between the total area and the target foundation pit is obtained by measuring through a distance measuring instrument.
The foundation pit risk assessment module is used for calculating a risk assessment coefficient psi of the target foundation pit.
In a specific embodiment of the present invention, a calculation formula of the risk assessment coefficient of the target foundation pit is:
wherein ,d5 、d 6 、d 7 and d8 Respectively representing set target foundation pit risk assessment duty ratio weights corresponding to foundation pit geology, foundation pit displacement, foundation pit support and foundation pit environment, and gamma 7 And representing the set target foundation pit risk assessment correction factor.
According to the embodiment of the invention, the foundation pit risk is automatically monitored through the four layers of foundation pit geology, foundation pit displacement, foundation pit support and foundation pit environment, and the risk evaluation coefficient of the target foundation pit is calculated, so that the risk condition of the target foundation pit is intuitively displayed, the problems of long time consumption period, complex survey process and the like in a periodic survey risk analysis mode of risk supervision staff are effectively solved, the error of risk monitoring evaluation is reduced, the rationality, the accuracy and the reliability of a risk analysis result are ensured, and the running safety of subsequent construction engineering is also ensured.
And the early warning terminal is used for starting a foundation pit safety prevention instruction when the risk assessment coefficient of the target foundation pit is greater than or equal to a set value.
When the risk assessment coefficient of the target foundation pit reaches the early warning value, the foundation pit safety prevention instruction is started, so that the timely detection and real-time performance of the risk supervision personnel on abnormal risks are improved, the processing efficiency of the risk supervision personnel on the abnormal risks is improved, and the potential risk of foundation pit overturning is reduced.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. A foundation pit risk analysis management system based on monitoring data, comprising:
the foundation pit geological monitoring analysis module is used for monitoring soil parameters and underground water levels of a monitoring area where a target foundation pit is located on a target building site in each monitoring time period, and further analyzing and obtaining a risk assessment coefficient phi corresponding to a foundation pit geological layer Ground (floor) ；
The foundation pit displacement monitoring and analyzing module is used for monitoring the displacement change state of the target foundation pit to obtain horizontal displacement and vertical displacement in each monitoring time period, and further analyzing to obtain a risk assessment coefficient phi corresponding to the foundation pit displacement layer Bit position ；
The foundation pit supporting monitoring analysis module is used for monitoring the supporting state of the target foundation pit to obtain the corrosiveness, the deformability and the verticality of each supporting upright post, and further analyzing to obtain a risk assessment coefficient phi corresponding to the foundation pit supporting layer Support frame ；
The foundation pit environment acquisition and analysis module is used for setting a monitoring range, acquiring the area of the set monitoring environment range, the occupied area of each building and the linear distance between the building and a target foundation pit, and further analyzing to obtain a risk assessment coefficient phi corresponding to the foundation pit environment layer Ring(s) ；
The foundation pit risk assessment module is used for calculating a risk assessment coefficient psi of the target foundation pit;
and the early warning terminal is used for starting the foundation pit safety prevention instruction when the risk assessment coefficient of the target foundation pit is greater than or equal to a set value.
2. The foundation pit risk analysis management system based on monitoring data according to claim 1, wherein: and the soil parameters comprise soil pH value, porosity and humidity corresponding to the soil monitoring subareas.
3. The foundation pit risk analysis management system based on monitoring data according to claim 2, wherein: the risk assessment coefficient corresponding to the foundation pit geological layer is obtained through analysis, and the specific analysis process is as follows:
a1, extracting soil pH value, porosity and humidity from each soil parameter of each soil monitoring subarea in each monitoring time period, and respectively marking as beta ij 、χ ij and δij Where i represents a soil monitoring sub-region number, i=1, 2,..n, j represents a monitoring period number, j=1, 2,..m;
a2, calculating a soil state coincidence coefficient xi corresponding to each soil monitoring sub-region in each monitoring time period ij ，
Wherein, beta ', χ ' and delta ' respectively represent the pH value, the porosity and the humidity of the soil to be set and reference, and delta beta, Δχ and delta respectively represent the pH value deviation, the porosity deviation and the humidity deviation of the soil to be set and reference, a 1 、a 2 and a3 Respectively representing that the set soil pH value, porosity and humidity correspond to the soil state and accord with the duty ratio weight, and gamma 1 Indicating that the set soil state accords with the correction factor;
a3, carrying out average value calculation on the soil state coincidence coefficients of the soil monitoring subareas corresponding to the monitoring time periods to obtain average soil state coincidence coefficients of the soil monitoring subareas, carrying out difference making on the average soil state coincidence coefficients of the soil monitoring subareas and the set soil state coincidence coefficients to obtain soil state coincidence coefficient differences, and extracting the largest soil state coincidence coefficient difference from the soil state coincidence coefficient differences, and recording the largest soil state coincidence coefficient difference as delta zeta;
a4, calculating the soil homogeneity lambda corresponding to the soil monitoring area,
wherein, xi 'and delta xi' respectively represent the average soil state conforming coefficient and the maximum soil state conforming coefficient difference, h of the set reference 1 and h2 Respectively representing the set average soil state coincidence coefficient and the maximum soil state coincidence coefficient difference corresponding to the soil homogeneity degree duty ratio weight, and Y represents the set soil homogeneity degree correction factor;
a5, respectively extracting soil state coincidence coefficients corresponding to the first monitoring time period and the last monitoring time period from the soil state coincidence coefficients corresponding to the monitoring time periods of each soil monitoring sub-region, and respectively marking as xi 1 and ξ2 Simultaneously extracting a first monitoring time period and a last monitoring time period, further obtaining monitoring interval duration corresponding to the first monitoring time period and the last monitoring time period, and recording the monitoring interval duration as deltat;
a6, calculating the soil change rate zeta corresponding to each soil monitoring area i ，
A7, calculating a risk assessment coefficient epsilon corresponding to the soil layer surface Soil ，Wherein lambda 'and ζ' respectively represent the soil homogeneity and average change rate of the set reference, a 4 and a5 Respectively representing the set soil homogeneity and average change rate corresponding to the risk assessment duty ratio weight gamma 2 Representing a risk assessment correction factor corresponding to the set soil level;
a8, calculating a risk evaluation coefficient epsilon corresponding to the underground water level surface Water and its preparation method ；
A9, calculating a risk evaluation coefficient phi corresponding to the foundation pit geological layer Ground (floor) ，
wherein ,a6 and a7 Respectively representing the set risk evaluation duty ratio weights of the soil layer and the foundation pit geological layer corresponding to the groundwater level layer, and gamma 3 And e represents a natural constant.
4. The foundation pit risk analysis management system based on monitoring data according to claim 1, wherein: the risk assessment coefficient corresponding to the foundation pit displacement layer is obtained through analysis, and the specific analysis process is as follows:
b1, sequencing all monitoring time periods according to time sequence to obtain all monitoring sequences;
b2, constructing a horizontal displacement change curve by taking the monitoring sequence as an abscissa and horizontal displacement as an ordinate, positioning a slope value from the curve, and marking the slope value as a horizontal displacement change rate as K 1 ；
B3, obtaining the vertical displacement change rate by the same analysis according to the analysis mode of the horizontal displacement change rate, and marking the vertical displacement change rate as K 2 ；
B4, calculating a risk assessment coefficient phi corresponding to the foundation pit displacement layer Bit position ，
wherein ,ω1 and ω2 The correction factors of the displacement change rates corresponding to the horizontal displacement and the vertical displacement are respectively shown as K' 1 and K′2 Respectively representing the displacement change rates corresponding to the horizontal displacement and the vertical displacement of the set reference, b 1 and b2 And respectively representing the set horizontal displacement and the set vertical displacement corresponding to the risk evaluation duty ratio weight of the foundation pit displacement layer.
5. A pit risk analysis management system based on monitored data according to claim 3, wherein: the displacement change rate correction factors corresponding to the horizontal displacement and the vertical displacement are the same setting mode, wherein the setting process of the displacement change rate correction factor corresponding to the horizontal displacement is as follows:
c1, performing difference between the horizontal displacement corresponding to each monitoring time period and the set allowable horizontal displacement to obtain horizontal displacement deviation corresponding to each monitoring time period;
c2, counting the number of monitoring time periods with the horizontal displacement deviation not being 0, and recording as M as the number of deviation monitoring time periods 0 ；
C3, extracting the maximum horizontal displacement deviation and the minimum horizontal displacement deviation from the horizontal displacement deviation corresponding to each monitoring time period, and respectively marking as x Big size and xSmall size ；
C4, calculating a displacement change rate correction factor omega corresponding to the horizontal displacement 1 ， wherein ,M′0 、x′ Big size and x′Small size Respectively representing the number of deviation monitoring time periods, the maximum horizontal displacement deviation and the minimum horizontal displacement deviation of the set reference, b 3 、b 4 and b5 The set number of deviation monitoring time periods, the maximum horizontal displacement deviation and the minimum horizontal displacement deviation are respectively represented as the duty ratio weights of the horizontal displacement change rate correction factors.
6. The foundation pit risk analysis management system based on monitoring data according to claim 1, wherein: the risk assessment coefficient corresponding to the foundation pit supporting layer is obtained through analysis, and the specific analysis process is as follows:
d1, respectively marking the corrosiveness, the deformability and the verticality of each supporting upright post asθ s and xs Wherein s representsThe number of the supporting upright post is equal to the number, s=1, 2, q;
d2, calculating the safety coefficient corresponding to each supporting upright post
wherein ,θ 'and x' respectively represent corrosiveness, deformability and verticality of the set reference, c 1 、c 2 and c3 Respectively representing the safety evaluation duty ratio weight, gamma corresponding to the set corrosiveness, deformation degree and verticality 4 Representing the set safety coefficient correction factor;
d3, if the safety coefficient corresponding to a certain supporting upright post is smaller than the safety coefficient of the set permission, judging the supporting upright post as a risk upright post, counting the number of the risk upright posts, and marking the number as M Wind power ；
D4, carrying out average value calculation on the safety coefficients corresponding to the supporting upright posts to obtain average safety coefficients, and recording the average safety coefficients as
D5, calculating a risk evaluation coefficient phi branch corresponding to the foundation pit supporting layer,
wherein ,M′Wind power Andrespectively representing the number of risk posts and the average safety coefficient of the set reference, c 4 and c5 Respectively represent the number of the set risk upright posts and the foundation pit corresponding to the average safety coefficientSupport structure layer risk assessment duty ratio weight, gamma 5 And representing the risk assessment correction factors corresponding to the set foundation pit supporting structure layer.
7. A pit risk analysis management system based on monitored data according to claim 3, wherein: the risk assessment coefficient corresponding to the foundation pit environment layer is obtained through analysis, and the specific analysis process is as follows:
e1, respectively marking the occupied area of each building with the set monitoring environment range and the linear distance between each building and the target foundation pit as and τk Wherein k represents the building number, k=1, 2,;
e2, calculating the building density eta, wherein ,/>Represents the area of the set monitoring environment range, l represents the number of buildings within the set monitoring environment range, d 1 and d2 Respectively representing the density duty ratio weight of the buildings corresponding to the set number and area duty ratio of the buildings;
e3, calculating risk assessment coefficient phi corresponding to foundation pit environment layer Ring(s) ，
Wherein η 'and τ' each represent the concentration and average linear distance, d, of the set reference 3 and d4 Respectively representing the set density and average linear distance corresponding to the risk evaluation duty ratio weight of the foundation pit environment layer, gamma 6 And representing the risk assessment correction factors corresponding to the set foundation pit environment levels.
8. The foundation pit risk analysis management system based on monitoring data of claim 7, wherein: the calculation formula of the risk assessment coefficient of the target foundation pit is as follows:
wherein ,d5 、d 6 、d 7 and d8 Respectively representing set target foundation pit risk assessment duty ratio weights corresponding to foundation pit geology, foundation pit displacement, foundation pit support and foundation pit environment, and gamma 7 And representing the set target foundation pit risk assessment correction factor.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117196319A (en) * | 2023-11-02 | 2023-12-08 | 合肥优尔电子科技有限公司 | Power grid risk identification analysis method, system and storage medium |
| CN117243497A (en) * | 2023-10-11 | 2023-12-19 | 山东好景节能设备有限公司 | Intelligent control system of water dispenser |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117243497A (en) * | 2023-10-11 | 2023-12-19 | 山东好景节能设备有限公司 | Intelligent control system of water dispenser |
| CN117243497B (en) * | 2023-10-11 | 2024-03-08 | 山东好景节能设备有限公司 | Intelligent control system of water dispenser |
| CN117196319A (en) * | 2023-11-02 | 2023-12-08 | 合肥优尔电子科技有限公司 | Power grid risk identification analysis method, system and storage medium |
| CN117196319B (en) * | 2023-11-02 | 2024-01-19 | 合肥优尔电子科技有限公司 | Power grid risk identification analysis method, system and storage medium |
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