CN117688341A - Deep foundation pit detection system and method based on BIM technology - Google Patents
Deep foundation pit detection system and method based on BIM technology Download PDFInfo
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Abstract
The invention discloses a deep foundation pit detection system and a method based on BIM technology, which belong to the technical field of foundation pit detection of pipe galleries, wherein a second monitoring module monitors deep foundation pit data and pipe gallery data within a period of time, the service condition of the pipe gallery is analyzed, a warning module judges whether to send a warning signal according to the analysis result of a first monitoring module or a second monitoring module, a calculation module judges whether to need to revise the service life of the pipe gallery according to the analysis result of the second monitoring module, and when judging that the service life of the pipe gallery needs to be revised, the correction period is calculated and acquired.
Description
Technical Field
The invention belongs to the technical field of pipe gallery foundation pit detection, and particularly relates to a deep foundation pit detection system and method based on a BIM technology.
Background
A pipe rack is a type of underground passage or tunnel system for housing various underground facilities, which are typically located underground in cities, for carrying and protecting various infrastructure such as cables, communication lines, water pipes, gas pipelines, drainage systems and other pipes;
BIM is a digital modeling method that combines three-dimensional geometric information of buildings and infrastructure with time, cost, resources, and maintenance information during construction. The technology is becoming more and more popular in construction engineering and foundation construction management, because it can provide comprehensive project information, promote collaboration and decision making, and the detection system is an innovative tool applied to the fields of construction and civil engineering, and aims to improve the safety, efficiency and visual management of deep foundation pit construction.
The prior art has the following defects:
the existing detection system usually detects whether a deep foundation pit can support placement and construction of a pipe gallery after the deep foundation pit is excavated, however, when the deep foundation pit is placed and constructed in the pipe gallery, the detection system cannot predict the use time limit of the pipe gallery according to the running condition of the deep foundation pit, so that a construction enterprise cannot make management strategies in advance, and the safe use of the pipe gallery cannot be guaranteed.
Disclosure of Invention
The invention aims to provide a deep foundation pit detection system and a deep foundation pit detection method based on BIM technology, so as to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the deep foundation pit detection system based on the BIM technology comprises a data acquisition module, a BIM module, a first monitoring module, a second monitoring module, a warning module and a calculation module;
and a data acquisition module: the method comprises the steps of collecting building information of a deep foundation pit area;
BIM module: building a three-dimensional building information model based on the BIM tool and displaying the building information to a manager;
a first monitoring module: the monitoring system is used for monitoring multiple data in the deep foundation pit construction process, analyzing the construction quality of the deep foundation pit in real time, and waking up the second monitoring module after the deep foundation pit construction is completed;
and a second monitoring module: after the deep foundation pit is constructed and placed in the pipe gallery, monitoring deep foundation pit data and pipe gallery data in a period of time, and analyzing the service condition of the pipe gallery;
and the warning module is used for: judging whether to send an alarm signal according to the analysis result of the first monitoring module or the second monitoring module;
the calculation module: judging whether the service life of the pipe gallery needs to be revised according to the analysis result of the second monitoring module, and calculating and acquiring the revised service life when judging that the service life of the pipe gallery needs to be revised.
Preferably, the first monitoring module obtains the quality coefficient through size similarity and gradient stability index calculationThe computational expression is:
;
in the method, in the process of the invention,in order for the dimensions to be similar,in the form of a slope stability index,、proportional coefficients of the dimension similarity and the gradient stability index respectively, and、are all greater than 0.
Preferably, the second monitoring module comprehensively calculates the foundation pit multi-point sedimentation discrete index, the structural damage index and the corrosion growth rate to obtain the correction coefficientThe computational expression is:
;
in the method, in the process of the invention,is a multi-point sedimentation discrete index of the foundation pit,in order to be a structural damage index,in order to achieve a rate of increase in the degree of corrosion,、、the proportion coefficients of the foundation pit multi-point sedimentation discrete index, the structural damage index and the corrosion rate increase rate are respectively that、、Are all greater than 0.
Preferably, if the mass coefficient isThe value is less than the quality threshold value, the construction quality of the deep foundation pit is analyzed to be poor, the warning module judges to send a warning signal, the warning signal is sent to the BIM module, and if the quality coefficient isThe value is more than or equal to the quality threshold value, and the construction quality of the analysis deep foundation pit is good.
Preferably, if the coefficient is modifiedThe first threshold value is less than the first threshold value, the overall safety and stability of the pipe gallery after the pipe gallery is placed in a deep foundation pit are poor, and the warning module judges to send a warning signal and sends the warning signal to the BIM module;
if the correction coefficientAnd the first threshold value is not less than, and the overall safety and stability of the pipe gallery after the pipe gallery is placed in a deep foundation pit are good.
Preferably, if the coefficient is modifiedThe service condition of the pipe gallery is analyzed to be excellent, and the service life of the pipe gallery is the expected period;
if the first threshold value is less than or equal to the correction coefficientAnalyzing the service condition of the pipe rack by correcting the coefficientAnd obtaining a correction period after the service period of the correction pipe gallery, wherein the calculation expression is as follows:
;
in the method, in the process of the invention,indicating the correction period of time and,indicating the expected period of time,the service life of the piping lane at this time is a correction period for the correction coefficient.
Preferably, the calculating logic of the foundation pit multi-point sedimentation discrete index is as follows:
calculating foundation pit sedimentation standard deviationThe expression is:
;
in the method, in the process of the invention,,indicating the number of tube lanes placed in the pit,is a positive integer which is used for the preparation of the high-voltage power supply,indicating the sedimentation value of the foundation pit at the ith pipe lane,represents the sedimentation average;
if the sedimentation average value is less than or equal to the sedimentation threshold value and the foundation pit sedimentation standard deviation is less than or equal to the standard deviation threshold value,;
if the sedimentation average value is less than or equal to the sedimentation threshold value and the foundation pit sedimentation standard deviation is more than the standard deviation threshold value,;
if the sedimentation average value is larger than the sedimentation threshold value and the sedimentation standard deviation of the foundation pit is larger than the standard deviation threshold value,;
if the sedimentation average value is larger than the sedimentation threshold value and the sedimentation standard deviation of the foundation pit is smaller than or equal to the standard deviation threshold value,。
preferably, the structural damage index is calculated by the following expression:
;
in the method, in the process of the invention,is a change in displacement or elongation of the j-th member,is the initial length of the j-th member,is the total number of piping lane members.
Preferably, the dimensional similarityThe calculated expression of (2) is:
;
in the method, in the process of the invention,indicating depthThe inner product of the actual size vector of the foundation pit and the standard size vector of the deep foundation pit,the actual size vector norm of the deep foundation pit and the standard size vector norm of the deep foundation pit are respectively.
The invention also provides a deep foundation pit detection method based on BIM technology, which comprises the following steps:
s1: the collection end collects building information of the deep foundation pit area;
s2: the processing end creates a three-dimensional building information model based on the BIM tool and displays the building information to a manager;
s3: monitoring a plurality of data in the deep foundation pit construction process, and analyzing the construction quality of the deep foundation pit in real time;
s4: after the deep foundation pit is constructed and placed in the pipe gallery, monitoring deep foundation pit data and pipe gallery data in a period of time, and analyzing the service condition of the pipe gallery;
s5: judging whether to send an alarm signal according to the analysis result;
s6: judging whether the service life of the pipe gallery needs to be revised according to the analysis result of the second monitoring module, and calculating and acquiring the revised service life when judging that the service life of the pipe gallery needs to be revised.
In the technical scheme, the invention has the technical effects and advantages that:
1. according to the invention, the construction quality of the deep foundation pit is monitored through the first monitoring module, the construction quality of the deep foundation pit is analyzed in real time, the second monitoring module is awakened after the construction of the deep foundation pit is completed, after the deep foundation pit is put into the pipe gallery, the second monitoring module monitors the deep foundation pit data and the pipe gallery data within a period of time, the service condition of the pipe gallery is analyzed, the warning module judges whether to send a warning signal according to the analysis result of the first monitoring module or the second monitoring module, the calculation module judges whether to need to revise the service life of the pipe gallery according to the analysis result of the second monitoring module, and when judging to need to revise the service life of the pipe gallery again, the correction period is calculated and acquired.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a block diagram of a system according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
Example 1: referring to fig. 1, the deep foundation pit detection system based on the BIM technology in this embodiment includes a data acquisition module, a BIM module, a first monitoring module, a second monitoring module, a warning module, and a calculation module;
and a data acquisition module: the building information acquisition module is used for acquiring building information of a deep foundation pit area, including building structures, underground pipe galleries, deep foundation pits and the like, and sending the building information to the BIM module;
ground investigation: performing a ground survey to obtain basic geographical information, such as terrain, geological conditions, groundwater levels, etc., prior to the start of deep foundation pit engineering, which helps determine the location of the deep foundation pit and possible subsurface obstructions;
building information collection: the construction structure, the underground pipe gallery and the deep foundation pit of the deep foundation pit area are measured in detail and data are acquired by using field measuring instruments and equipment (such as a laser scanner, a total station, a GPS (global positioning system) and the like), and the collected data comprise geometric information (size, height and shape) of the building, information of positions, diameters, types, depths, gradients and the like of the underground pipe and the pipe gallery and the size and shape of the deep foundation pit;
data entry and processing: the collected data is entered into a computer system for processing and sorting using specific software tools, and data processing may include removing noise, calibrating the data, and converting a coordinate system (if necessary) to ensure accuracy and consistency of the data.
BIM module: building a three-dimensional Building Information Model (BIM) based on a BIM tool and showing the BIM to a manager, wherein the BIM is a core module of the system, and all other modules are based on the BIM, and the BIM model contains accurate underground pipe gallery and deep foundation pit information;
data import and preparation: acquiring the building information data which are acquired and processed from a data acquisition module; the data comprise geometric information and attribute data of building structures, underground pipe galleries and deep foundation pits; the data should be quality checked and calibrated to ensure its accuracy and consistency;
BIM software selection and setting: selecting applicable BIM software such as Autodesk-Revit, trimble-Tekla-Structures and the like, and setting and configuring according to engineering requirements; ensuring that the BIM software is set to allow the creation and editing of underground structures, including pipe galleries and deep foundation pits;
model initialization: creating a new BIM project or model, and initializing project settings, including coordinate systems, scales, units and the like; setting basic attributes of the model, such as project names, places, dates and the like;
modeling an underground pipe gallery: creating a three-dimensional geometry of the underground pipe gallery in the model using a modeling tool of the BIM software; this may include the profile, size, length and connection points of the pipe lane; adding attribute information of the pipe gallery, such as pipe type, diameter, material, installation date and the like;
modeling a deep foundation pit: creating a geometry of the deep foundation pit in the model using a modeling tool of the BIM software; this typically includes information about the boundaries, walls, slope, depth, etc. of the pit; adding attribute information of the deep foundation pit, such as foundation pit type, supporting structure, soil condition and the like;
data integration and verification: integrating the models of the underground pipe gallery and the deep foundation pit with the acquired data, and verifying; ensuring that the subsurface structure in the model is consistent with the actual data; solving the problem of mismatching or inconsistency of any data, and carrying out necessary correction;
visualization and display: generating a three-dimensional model by using the visual function of BIM software, and selecting proper views, sections and charts to display the information of underground pipe gallery and deep foundation pit; creating a clear visual presentation so that a manager can intuitively understand building information and underground structures;
model release: the completed BIM model is released to the system for other modules to use; ensuring that the model is synchronous with the state of the actual engineering;
continuously updating: and continuously updating the BIM model at different stages of deep foundation pit engineering to reflect the actual construction progress and the change of underground conditions.
A first monitoring module: the system is used for monitoring multiple data in the deep foundation pit construction process, analyzing the construction quality of the deep foundation pit in real time, sending an analysis result to the warning module, waking up the second monitoring module after the deep foundation pit construction is completed, and sending multiple data to the BIM module.
And a second monitoring module: after the deep foundation pit is constructed and placed in a pipe gallery, monitoring deep foundation pit data and pipe gallery data in a period of time, analyzing the service condition of the pipe gallery, sending an analysis result to a warning module, and sending the deep foundation pit data and the pipe gallery data to a BIM module;
and the warning module is used for: judging whether to send the warning signal according to the analysis result of the first monitoring module or the second monitoring module, and sending the warning signal to the BIM module when judging to send the warning signal.
The calculation module: judging whether the service life of the pipe gallery needs to be revised according to the analysis result of the second monitoring module, and calculating and acquiring a revised period when judging that the service life of the pipe gallery needs to be revised, and sending the revised period to the BIM module.
The application is through multiple data in the first monitoring module monitoring deep basal pit work progress, real-time analysis deep basal pit construction quality, and wake up the second monitoring module after deep basal pit construction is accomplished, after deep basal pit construction is accomplished and put into the piping lane, deep basal pit data and piping lane data in the second monitoring module monitoring a period, the service condition of piping lane is analyzed, warning module judges whether send warning signal according to the analysis result of first monitoring module or second monitoring module, calculation module judges whether need revise the life of piping lane again according to the analysis result of second monitoring module, when judging the life of need revise the piping lane again, calculate and acquire the correction deadline, this detecting system can detect foundation pit construction quality before the piping lane is put into, evaluate piping lane service condition after the piping lane is put into, not only avoid the foundation pit construction not to influence the piping lane and place, predict piping lane life can be convenient for manage in advance, improve piping lane's safety in utilization and stability.
Example 2: the first monitoring module is used for monitoring a plurality of items of data in the deep foundation pit construction process, analyzing the construction quality of the deep foundation pit in real time, sending an analysis result to the warning module, waking up the second monitoring module after the deep foundation pit construction is completed, and sending the plurality of items of data to the BIM module;
the first monitoring module is used for monitoring a plurality of items of data in the deep foundation pit construction process, wherein the plurality of items of data comprise size similarity and gradient stability indexes;
obtaining the quality coefficient through calculating the size similarity and the gradient stability indexThe computational expression is:
;
in the method, in the process of the invention,in order for the dimensions to be similar,in the form of a slope stability index,、proportional coefficients of the dimension similarity and the gradient stability index respectively, and、are all greater than 0.
Similarity of dimensionsThe calculated expression of (2) is:
;
in the method, in the process of the invention,representing the inner product of the actual size vector of the deep foundation pit and the standard size vector of the deep foundation pit,the actual size vector norm of the deep foundation pit and the standard size vector norm of the deep foundation pit are respectively;
similarity of dimensionsThe larger the value is, the more the size of the deep foundation pit at the current construction progress is similar to the standard size, and the better the construction quality is;
the obtaining of the actual size vector of the deep foundation pit comprises the following steps:
1) Measuring the actual size: measuring actual dimensions by using measuring instruments (such as a laser range finder, a total station, a measuring wheel and the like) at a deep foundation pit construction site; the measurements may relate to depth, width, length, and other relevant dimensions; ensuring that the measurement is accurate and precise;
2) Recording measurement data: recording the measured dimensional data and organizing it into a vector; for example, a vector may be created that contains dimensions of depth, width, and length, such as= [ actual depth, actual width, actual length ]]。
The obtaining of the standard size vector of the deep foundation pit comprises the following steps:
1) Planning standard dimensions: in the deep foundation pit engineering planning and design stage, engineers will determine the standard dimensions of the deep foundation pit, which is usually based on engineering requirements and design specifications; standard dimensions include depth, width, length, etc.; recording the size values;
2) Creating a standard size vector: creating a standard size vector using the standard size values; for example, a vector may be created that contains dimensions of depth, width, and length, such as b= [ standard depth, standard width, standard length ].
Slope stability indexThe calculated expression of (2) is:
;
in the method, in the process of the invention,is the shear strength of the soil, and is not limited to,is the slope angle of the pit wall,is the soil gravity and gradient stability indexThe larger the gradient is in a stable state, namely the smaller the influence of the current construction on the gradient stability of the deep foundation pit is.
When the deep foundation pit construction is completed and the deep foundation pit is placed in a pipe gallery, the second monitoring module monitors deep foundation pit data and pipe gallery data within a period of time, the service condition of the pipe gallery is analyzed, an analysis result is sent to the warning module, and the deep foundation pit data and the pipe gallery data are sent to the BIM module;
the second monitoring module monitors deep foundation pit data and pipe gallery data in a period of time, wherein the deep foundation pit data comprises deep foundation pit multi-point sedimentation discrete indexes, and the pipe gallery data comprises structural damage indexes and corrosion growth rates;
comprehensively calculating foundation pit multi-point sedimentation discrete index, structural damage index and corrosion growth rate to obtain correction coefficientsThe computational expression is:
;
in the method, in the process of the invention,is a multi-point sedimentation discrete index of the foundation pit,in order to be a structural damage index,in order to achieve a rate of increase in the degree of corrosion,、、respectively a foundation pit multi-point sedimentation discrete index, a structural damage index and corrosion degree increaseProportional coefficient of velocity, and、、are all greater than 0;
the calculation logic of the foundation pit multi-point sedimentation discrete index is as follows:
calculating foundation pit sedimentation standard deviationThe expression is:
;
in the method, in the process of the invention,,the number of the tube lanes in the foundation pit is represented (each tube lane is provided with a monitoring point, after the tube lane is monitored, the sedimentation amplitude of the foundation pit),is a positive integer which is used for the preparation of the high-voltage power supply,indicating the sedimentation value of the foundation pit at the ith pipe lane,the sedimentation average value is shown.
If the average sedimentation value is less than or equal to the sedimentation threshold value and the standard deviation of the sedimentation of the foundation pit is less than or equal to the standard deviation threshold value, the integral sedimentation amplitude of the foundation pit is small after the pipe gallery is placed in the foundation pit,;
if the average sedimentation value is less than or equal to the sedimentation thresholdThe value, and the standard deviation of the foundation pit sedimentation is larger than the standard deviation threshold value, shows that after the pipe gallery is placed in the foundation pit, the whole sedimentation amplitude of the foundation pit is smaller, but the sedimentation amplitude of the foundation pit where part of the pipe gallery is placed is larger,;
if the average sedimentation value is larger than the sedimentation threshold value and the standard deviation of the sedimentation of the foundation pit is larger than the standard deviation threshold value, the integral sedimentation amplitude of the foundation pit is larger after the pipe gallery is placed in the foundation pit, but the sedimentation amplitude of the foundation pit where part of the pipe gallery is placed is smaller,;
if the sedimentation average value is larger than the sedimentation threshold value and the sedimentation standard deviation of the foundation pit is smaller than or equal to the standard deviation threshold value, the integral sedimentation amplitude of the foundation pit is large after the pipe gallery is placed in the foundation pit,。
in conclusion, the larger the multi-point sedimentation discrete index value of the foundation pit is, the smaller the integral sedimentation change amplitude of the deep foundation pit is after the deep foundation pit is placed in the pipe gallery, so that the service life of the pipe gallery can be prolonged.
The structural damage index is calculated as:
;
in the method, in the process of the invention,is the change in displacement or elongation of the j-th member (beam, column, etc.), which can be expressed as the current displacement or elongation minus the initial displacement or elongation,is the initial length of the j-th member,is the total number of piping lane members;
the greater the structural damage index value, which is an index for quantifying the structural health, the greater the value, which indicates that the damage to the structure is more serious;
the calculation of the piping lane structure damage index is typically based on monitoring data, structural analysis and damage assessment, which may include parameters such as displacement, stress, strain, crack width, deflection, etc., by which an engineer may determine whether and to what extent the piping lane structure is damaged, and the value of the structural damage index is typically used to determine whether repair, repair or enhancement measures are required to ensure the safety and availability of the piping lane.
The calculated expression of the corrosion rate is:
;
in the method, in the process of the invention,is the depth of corrosion at the end time point,is the depth of corrosion at the initial point in time,for the monitoring period, the greater the corrosion rate increase, the faster the corrosion depth increase of the pipe rack during the monitoring period, which can lead to the following problems with the pipe rack:
1) The structural strength is reduced: the rapid increase in corrosion depth results in a reduced wall thickness of the tube lane, thereby reducing the strength and load carrying capacity of the structure; this may make the pipe lane more susceptible to external loads and stresses, increasing the risk of structural failure;
2) Reducing corrosion resistance: the rapid increase in corrosion depth means that the material of the piping lane may be more rapidly damaged by corrosion; this can lead to damage to the pipe or pipe wall, reducing the corrosion resistance and life of the pipe rack;
3) Safety risk: corrosion-induced structural weakening may lead to an increased safety risk of the piping lane, especially when the piping lane is used for transporting dangerous substances or when natural disasters such as earthquakes occur;
4) The repair and maintenance costs increase: the rapid increase in corrosion depth requires more frequent repair and maintenance, which increases the operational cost and downtime of the piping lane;
5) Environmental impact: if piping lanes are used to transport liquids or gases, rapid corrosion may lead to leakage, thereby causing pollution and hazard to the surrounding environment.
The warning module judges whether to send a warning signal according to the analysis result of the first monitoring module or the second monitoring module, and sends the warning signal to the BIM module when judging to send the warning signal;
by mass coefficientThe calculation formula of (2) shows that the quality coefficientThe larger the construction quality of the deep foundation pit is, the better the construction quality is, thus obtaining the quality coefficientAfter the value, if the quality coefficient isThe value is less than the quality threshold value, the construction quality of the deep foundation pit is analyzed to be poor, the warning module judges to send a warning signal, the warning signal is sent to the BIM module, and if the quality coefficient isThe value is more than or equal to the quality threshold value, and the construction quality of the analysis deep foundation pit is good;
when the deep foundation pit construction quality is poor, management that needs to be made includes:
1) Problem identification and analysis: performing regular construction quality inspection and monitoring and necessary real-time monitoring; identifying and recording quality problems including problems in terms of soil displacement, pit wall stability, concrete quality, supporting structures and the like;
2) Immediate temporary measures are taken: if serious safety problems occur, emergency measures such as shutdown, evacuation of workers, blocking of dangerous areas and the like need to be immediately taken to ensure the safety of the workers;
3) Technical examination and analysis: performing technical reviews, evaluating, by professional engineers and geologist, the nature and severity of the problem; performing detailed engineering analysis to determine the root cause of the problem;
4) Making a correction plan: according to the technical examination and analysis results, a correction plan is formulated, and what measures are explicitly taken to solve the problem; determining the required resources, time and cost;
5) Improving the engineering construction process: modifying or improving the construction method and procedure to avoid again similar problems; and the quality control and supervision are enhanced, and the construction is ensured to be carried out according to the specifications and plans.
If the correction coefficientThe first threshold value is less than the first threshold value, so that the overall safety and stability of the pipe gallery are poor after the pipe gallery is placed in a deep foundation pit, namely the pipe gallery cannot be used continuously, and therefore the warning module judges to send a warning signal and sends the warning signal to the BIM module;
if the correction coefficientAnd the first threshold value is not less than, and the overall safety and stability of the pipe gallery after the pipe gallery is placed in a deep foundation pit are good.
The calculation module judges whether the service life of the pipe gallery needs to be revised according to the analysis result of the second monitoring module, and calculates and acquires a revised period when judging that the service life of the pipe gallery needs to be revised, and the revised period is sent to the BIM module;
although the correction factorNot less than a first threshold value, indicatingThe pipe gallery has good overall safety and stability after being placed in a deep foundation pit, but the correction coefficientIndicating the usage status of the piping lane as a whole, we set a second threshold value, which is greater than the first threshold value;
if the correction coefficientThe service condition of the pipe gallery is analyzed to be excellent, and the service life of the pipe gallery is the expected period;
if the first threshold value is less than or equal to the correction coefficientThe second threshold value is less than the second threshold value, and the service condition of the pipe gallery is good, and the service life of the pipe gallery is reduced although the pipe gallery still supports the service, so that the pipe gallery is corrected by the correction coefficientAnd obtaining a correction period after the service period of the correction pipe gallery, wherein the calculation expression is as follows:
;
in the method, in the process of the invention,indicating the correction period of time and,indicating the expected period of time,the service life of the pipe gallery is a correction period at the moment;
after the service life of the pipe rack is obtained, the manager can perform the following management:
1) Periodic inspection and monitoring: periodic inspection and monitoring of the piping lane to track corrosion, structural health, deformation, and other potential problems; the monitoring data is applied to update the life prediction;
2) Maintenance and repair: according to the inspection and monitoring results, making maintenance and repair plans, including periodic cleaning, painting, corrosion control, pipeline replacement and the like; ensuring that the maintenance plan is executed in time;
3) Corrosion control: measures are taken to control corrosion, including the use of corrosion resistant materials, protective coatings, cathodic protection, and the like; corrosion control can extend the service life of the piping lane;
4) Material and equipment upgrades: periodically inspecting the pipeline, equipment and structural materials in the pipe gallery, and if aging is found or the performance requirements are no longer met, timely upgrading or replacing;
5) And (3) safety management: ensuring that the safety management of the pipe rack meets relevant laws and regulations; training staff, formulating a safe operation program, and performing emergency handling exercise;
6) Environmental monitoring: if piping lane is involved in liquid or gas delivery, environmental monitoring is performed to detect leaks or contamination; taking measures to cope with environmental problems when necessary;
7) Emergency planning: an emergency plan is formulated to cope with possible accident, leakage or disaster situations; ensuring proper emergency equipment and training.
Example 3: referring to fig. 1, the deep foundation pit detection method based on the BIM technology according to the present embodiment includes the following steps:
the collection end collects building information of a deep foundation pit area, the collection end comprises a building structure, an underground pipe gallery, a deep foundation pit and the like, the processing end establishes a three-dimensional Building Information Model (BIM) based on BIM tools and displays the building information to management staff, monitors multiple data in the deep foundation pit construction process, analyzes the deep foundation pit construction quality in real time, monitors deep foundation pit data and pipe gallery data in a period of time after the deep foundation pit construction is completed and the deep foundation pit is put into the pipe gallery, analyzes the service condition of the pipe gallery, judges whether to send a warning signal according to the analysis result, judges whether to need to revise the service life of the pipe gallery according to the analysis result of the second monitoring module, and calculates and acquires the revision period when judging that the service life of the pipe gallery needs to be revised.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. Deep basal pit detecting system based on BIM technique, its characterized in that: the system comprises a data acquisition module, a BIM module, a first monitoring module, a second monitoring module, a warning module and a calculation module;
and a data acquisition module: the method comprises the steps of collecting building information of a deep foundation pit area;
BIM module: building a three-dimensional building information model based on the BIM tool and displaying the building information to a manager;
a first monitoring module: the monitoring system is used for monitoring multiple data in the deep foundation pit construction process, analyzing the construction quality of the deep foundation pit in real time, and waking up the second monitoring module after the deep foundation pit construction is completed;
and a second monitoring module: after the deep foundation pit is constructed and placed in the pipe gallery, monitoring deep foundation pit data and pipe gallery data in a period of time, and analyzing the service condition of the pipe gallery;
and the warning module is used for: judging whether to send an alarm signal according to the analysis result of the first monitoring module or the second monitoring module;
the calculation module: judging whether the service life of the pipe gallery needs to be revised according to the analysis result of the second monitoring module, and calculating and acquiring the revised service life when judging that the service life of the pipe gallery needs to be revised.
2. The deep foundation pit detection system based on the BIM technology according to claim 1, wherein: the first monitoring module obtains a quality coefficient through size similarity and gradient stability index calculationThe computational expression is:
;
in the method, in the process of the invention,for the size similarity, ++>Is gradient stability index>、/>Proportional coefficients of the dimension similarity, the gradient stability index, respectively, and +.>、/>Are all greater than 0.
3. The deep foundation pit detection system based on the BIM technology according to claim 2, wherein: the second monitoring module comprehensively calculates the foundation pit multi-point sedimentation discrete index, the structural damage index and the corrosion degree growth rate to obtain a correction coefficientThe computational expression is:
in (1) the->Is foundation pit multi-point sedimentation discrete index +.>Index of structural impairment>For the rate of corrosion increase->、/>、/>The ratio coefficients of the foundation pit multi-point sedimentation discrete index, the structural damage index and the corrosion increase rate are respectively +.>、/>、/>Are all greater than 0.
4. The deep foundation pit detection system based on the BIM technology according to claim 2, wherein: if the quality coefficient isThe value is less than the quality threshold value, the construction quality of the deep foundation pit is analyzed to be poor, the warning module judges and sends a warning signal, sending a warning signal to the BIM module, if the quality coefficient is +>The value is more than or equal to the quality threshold value, and the construction quality of the analysis deep foundation pit is good.
5. The deep foundation pit detection system based on the BIM technique according to claim 4, wherein: if the correction coefficientThe first threshold value is less than the first threshold value, the overall safety and stability of the pipe gallery after the pipe gallery is placed in a deep foundation pit are poor, and the warning module judges to send a warning signal and sends the warning signal to the BIM module;
if the correction coefficientAnd the first threshold value is not less than, and the overall safety and stability of the pipe gallery after the pipe gallery is placed in a deep foundation pit are good.
6. The deep foundation pit inspection system based on BIM technology according to claim 5, wherein: if the correction coefficientThe service condition of the pipe gallery is analyzed to be excellent, and the service life of the pipe gallery is the expected period;
if the first threshold value is less than or equal to the correction coefficient< second threshold value, analyzing the use condition of the pipe lane by correcting the coefficient +.>And obtaining a correction period after the service period of the correction pipe gallery, wherein the calculation expression is as follows:
;
in the method, in the process of the invention,indicating correction period +_>Indicates the expected period of time>The service life of the piping lane at this time is a correction period for the correction coefficient.
7. A deep foundation pit inspection system based on BIM technology according to claim 3, wherein: the calculation logic of the foundation pit multi-point sedimentation discrete index is as follows:
calculating foundation pit sedimentation standard deviationThe expression is:
;
in the method, in the process of the invention,,/>representing foundation pitThe number of middle tube lane to be placed, +.>Is a positive integer>A sedimentation value indicating that the foundation pit is located at the ith pipe lane,/->Represents the sedimentation average;
if the sedimentation average value is less than or equal to the sedimentation threshold value and the foundation pit sedimentation standard deviation is less than or equal to the standard deviation threshold value,;
if the sedimentation average value is less than or equal to the sedimentation threshold value and the foundation pit sedimentation standard deviation is more than the standard deviation threshold value,;
if the sedimentation average value is larger than the sedimentation threshold value and the sedimentation standard deviation of the foundation pit is larger than the standard deviation threshold value,;
if the sedimentation average value is larger than the sedimentation threshold value and the sedimentation standard deviation of the foundation pit is smaller than or equal to the standard deviation threshold value,。
8. a deep foundation pit inspection system based on BIM technology according to claim 3, wherein: the structural damage index is calculated by the following expression:
;
in the method, in the process of the invention,is the change of displacement or elongation of the j-th member,/->Is the initial length of the j-th component, +.>Is the total number of piping lane members.
9. The deep foundation pit detection system based on the BIM technology according to claim 2, wherein: the size similarityThe calculated expression of (2) is:
;
in the method, in the process of the invention,representing the inner product of the actual size vector of the deep foundation pit and the standard size vector of the deep foundation pit,the actual size vector norm of the deep foundation pit and the standard size vector norm of the deep foundation pit are respectively.
10. The deep foundation pit detection method based on BIM technology is realized by the detection system of any one of claims 1-9, and is characterized in that: the detection method comprises the following steps:
s1: the collection end collects building information of the deep foundation pit area;
s2: the processing end creates a three-dimensional building information model based on the BIM tool and displays the building information to a manager;
s3: monitoring a plurality of data in the deep foundation pit construction process, and analyzing the construction quality of the deep foundation pit in real time;
s4: after the deep foundation pit is constructed and placed in the pipe gallery, monitoring deep foundation pit data and pipe gallery data in a period of time, and analyzing the service condition of the pipe gallery;
s5: judging whether to send an alarm signal according to the analysis result;
s6: judging whether the service life of the pipe gallery needs to be revised according to the analysis result of the second monitoring module, and calculating and acquiring the revised service life when judging that the service life of the pipe gallery needs to be revised.
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Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109143234A (en) * | 2018-07-16 | 2019-01-04 | 西安空间无线电技术研究所 | The InSAR filtering method and system of interferometric phase gradient are estimated based on FFT high-precision |
US10353908B1 (en) * | 2018-11-12 | 2019-07-16 | Anthem, Inc. | Personalized smart provider search |
CN110096757A (en) * | 2019-04-08 | 2019-08-06 | 杭州通达集团有限公司 | The method for controlling basement building course anti-floating based on BIM technology dynamic |
CN110300284A (en) * | 2019-07-01 | 2019-10-01 | 宝业湖北建工集团有限公司 | Safety monitoring method and electronic equipment based on BIM technology |
CN111074954A (en) * | 2019-12-20 | 2020-04-28 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Deep foundation pit engineering safety monitoring system based on BIM |
CN111441330A (en) * | 2020-04-24 | 2020-07-24 | 福州大学 | Foundation pit monitoring system and method based on BIM + GIS |
CN111880206A (en) * | 2020-07-29 | 2020-11-03 | 祝侁捷 | Slope deformation monitoring system based on satellite positioning technology |
CN112163040A (en) * | 2020-09-22 | 2021-01-01 | 广州珠江建设发展有限公司 | Block chain-based complex structure construction monitoring method, system, equipment and medium |
WO2021072921A1 (en) * | 2019-10-18 | 2021-04-22 | 青岛理工大学 | Disaster occurrence backtracing method based on bim + gis fusion technology |
CN113139731A (en) * | 2021-04-29 | 2021-07-20 | 上海智大电子有限公司 | Safety perception early warning method and system for underground pipe gallery |
WO2021223594A1 (en) * | 2020-05-07 | 2021-11-11 | 北京理工大学 | Multi-objective optimization method and system for driving system of distributed driving electric vehicle |
WO2022047970A1 (en) * | 2020-09-01 | 2022-03-10 | 浙江勤业建工集团有限公司 | Bim-based method for simulated calculation of deep foundation pit before construction |
CN115492172A (en) * | 2022-07-26 | 2022-12-20 | 长沙理工大学 | Device and method for testing influence of traffic load on pile net composite foundation power |
CN116167599A (en) * | 2023-04-26 | 2023-05-26 | 河北省水利工程局集团有限公司 | Information platform management method and system based on BIM data and field data |
CN116215547A (en) * | 2023-05-10 | 2023-06-06 | 广汽埃安新能源汽车股份有限公司 | Dynamic gradient estimation method and device |
CN116227932A (en) * | 2023-03-06 | 2023-06-06 | 中核大地勘察设计有限公司 | Pit engineering health trend analysis and early warning system |
CN116378123A (en) * | 2023-05-23 | 2023-07-04 | 皖西学院 | BIM-based foundation pit health monitoring system |
-
2024
- 2024-01-31 CN CN202410130944.4A patent/CN117688341B/en active Active
Patent Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109143234A (en) * | 2018-07-16 | 2019-01-04 | 西安空间无线电技术研究所 | The InSAR filtering method and system of interferometric phase gradient are estimated based on FFT high-precision |
US10353908B1 (en) * | 2018-11-12 | 2019-07-16 | Anthem, Inc. | Personalized smart provider search |
CN110096757A (en) * | 2019-04-08 | 2019-08-06 | 杭州通达集团有限公司 | The method for controlling basement building course anti-floating based on BIM technology dynamic |
CN110300284A (en) * | 2019-07-01 | 2019-10-01 | 宝业湖北建工集团有限公司 | Safety monitoring method and electronic equipment based on BIM technology |
WO2021072921A1 (en) * | 2019-10-18 | 2021-04-22 | 青岛理工大学 | Disaster occurrence backtracing method based on bim + gis fusion technology |
CN111074954A (en) * | 2019-12-20 | 2020-04-28 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Deep foundation pit engineering safety monitoring system based on BIM |
CN111441330A (en) * | 2020-04-24 | 2020-07-24 | 福州大学 | Foundation pit monitoring system and method based on BIM + GIS |
WO2021223594A1 (en) * | 2020-05-07 | 2021-11-11 | 北京理工大学 | Multi-objective optimization method and system for driving system of distributed driving electric vehicle |
CN111880206A (en) * | 2020-07-29 | 2020-11-03 | 祝侁捷 | Slope deformation monitoring system based on satellite positioning technology |
WO2022047970A1 (en) * | 2020-09-01 | 2022-03-10 | 浙江勤业建工集团有限公司 | Bim-based method for simulated calculation of deep foundation pit before construction |
CN112163040A (en) * | 2020-09-22 | 2021-01-01 | 广州珠江建设发展有限公司 | Block chain-based complex structure construction monitoring method, system, equipment and medium |
CN113139731A (en) * | 2021-04-29 | 2021-07-20 | 上海智大电子有限公司 | Safety perception early warning method and system for underground pipe gallery |
CN115492172A (en) * | 2022-07-26 | 2022-12-20 | 长沙理工大学 | Device and method for testing influence of traffic load on pile net composite foundation power |
CN116227932A (en) * | 2023-03-06 | 2023-06-06 | 中核大地勘察设计有限公司 | Pit engineering health trend analysis and early warning system |
CN116167599A (en) * | 2023-04-26 | 2023-05-26 | 河北省水利工程局集团有限公司 | Information platform management method and system based on BIM data and field data |
CN116215547A (en) * | 2023-05-10 | 2023-06-06 | 广汽埃安新能源汽车股份有限公司 | Dynamic gradient estimation method and device |
CN116378123A (en) * | 2023-05-23 | 2023-07-04 | 皖西学院 | BIM-based foundation pit health monitoring system |
Non-Patent Citations (2)
Title |
---|
JIAMIN WU等: "Research on BIM-based Subway Foundation Pit Engineering Simulation Method", 《2.2 BRIDGE AND TUNNEL ENGINEERING》, 31 December 2018 (2018-12-31), pages 338 - 345 * |
闫慧强: "地铁车站深基坑施工过程变形监测及数值仿真分析", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》, 15 April 2019 (2019-04-15), pages 033 - 138 * |
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