Supervision and analysis method for complex working conditions of space of extra-large and ultra-deep foundation pit group

Abstract

The invention discloses an extra-large and ultra-deep foundation pit group space complex working condition supervision and analysis method, which comprises the following steps of: dividing a foundation pit group into a plurality of single foundation pits by taking an enclosure structure as a boundary, and dividing the single foundation pits into excavation task units along three-dimensional space blocks; creating a plan parameter body and an actual parameter body for each excavation task unit; defining a single rule base for the single foundation pit, and defining a group rule base for the foundation pit group; storing the excavation task unit, the plan parameter body, the actual parameter body, the monomer rule base, the group rule base and the mapping relation thereof to a cloud server; collecting actual construction data of each excavation task unit according to a preset frequency, and updating an actual parameter body to a cloud server; when the actual parameter body is updated, verification is executed according to the single body rule base; executing group verification according to the group rule base under periodic or event triggering; when the excavation plan or the foundation pit design is changed, the affected excavation task unit, the plan parameter body, the actual parameter body and the rule mapping relation are updated.

Description

Technical Field

[0001] This invention relates to the technical field of underground space development and management, and in particular to a method for monitoring and analyzing complex working conditions in a group of extra-large and ultra-deep foundation pits. Background Technology

[0002] In recent years, with the accelerated development of three-dimensional urban structures, the concentrated construction of large-scale transportation hubs and large-scale commercial complexes has become increasingly common. These projects often require the formation of vast and interconnected underground spatial structures, directly giving rise to numerous, unprecedentedly large, and ultra-deep foundation pit clusters. These foundation pit clusters can cover an area of ​​tens or even hundreds of thousands of square meters, consisting of dozens of individual foundation pits, most of which exceed the depth of conventional foundation pits. The individual foundation pits are closely adjacent or even partially overlapping in plan view, and exhibit complex nested relationships such as varying heights and pits within pits in the vertical direction. This involves numerous participating units, large-scale machinery and equipment, massive earthwork transportation, and multiple overlapping work processes, resulting in an exponential increase in management and coordination difficulty. The excavation process of a super-large and ultra-deep foundation pit group is essentially a dynamic and high-risk system engineering project: the instability or deformation of a single foundation pit can easily trigger a chain reaction in neighboring foundation pits and even the entire foundation pit group through soil stress transfer, groundwater connection and other means, leading to serious consequences; and once an accident occurs, the cost of emergency rescue, construction delay losses, environmental remediation and compensation costs are extremely huge, far exceeding the investment in preventive supervision.

[0003] Therefore, achieving reliable monitoring of the entire construction process of ultra-large and ultra-deep foundation pit groups is a rigid requirement and a major challenge for ensuring project safety, improving efficiency, and saving costs. The segmented excavation of foundation pit groups is a core construction technology in large or complex foundation pit projects. Monitoring the segmented excavation of foundation pit groups is an extremely complex systemic problem. Currently, there are methods or technologies using BIM, mobile terminals, etc., to improve foundation pit condition management. These have improved data collection and management for ordinary single foundation pits to some extent, but they have not provided effective support for data collection, monitoring, and analysis of ultra-large and ultra-deep foundation pit groups (which may contain dozens of individual ultra-deep foundation pits). The main technical problems currently faced are as follows: (1) It is difficult to collect the excavation conditions of the foundation pit group and the standardization is insufficient. Because the individual foundation pits in the foundation pit group are constructed in a cross-temporal effect, the structural forms of the individual foundation pits are also different due to the engineering design, and each sub-pit is constructed by different sections or participating units. Each unit manages the working condition information independently, and the attribute types, formats, frequencies, etc. are not uniform. The standardization of the working condition reporting is difficult to guarantee, which limits the quality of data collection from the source of data collection.

[0004] (2) The granularity of the work condition information collection is insufficient, and the timeliness and accuracy of the data cannot be guaranteed. Due to the low quality and fragmentation of the source data collected from each individual foundation pit, the granularity of the data collection is not uniform. The data collector can only summarize and infer the vague excavation situation of a single pit based on the information provided by multiple parties, which is time-consuming and laborious and cannot provide accurate and timely information on pit-by-pit and block-by-block excavation.

[0005] (3) The regulatory capacity for excavation of pit groups is insufficient, leading to a passive handling dilemma. Without detailed data support, the supervision and judgment process is often quite blind. Problems in the excavation process are only passively discovered when abnormal conditions of pit excavation cause adverse environmental impacts and trigger monitoring alarms. This results in delayed and passive supervision, which can easily lead to significant losses. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of the prior art by providing a method for monitoring and analyzing the complex working conditions of extra-large and ultra-deep foundation pit groups. This method forms an effective monitoring model by effectively organizing the excavation information of the foundation pit group in different zones and blocks, automatically collecting it based on cloud services, and analyzing and issuing early warnings for the working conditions of the foundation pit group. This ensures the timeliness, reliability, and computability of the working condition information of the foundation pit group, and comprehensively improves the monitoring level of the entire construction process of extra-large and ultra-deep foundation pit groups.

[0007] The objective of this invention is achieved through the following technical solutions: A method for monitoring and analyzing complex working conditions in ultra-large and ultra-deep foundation pit groups, the method comprising the following steps: S1: Divide the foundation pit group into several individual foundation pits using the retaining structure as the boundary, and further divide the individual foundation pits into excavation task units P along the three-dimensional space. n-h-x-y Where n is the number of the individual foundation pit, h is the excavation layer number of the individual foundation pit, x is the main sequence number of the single-layer plane excavation, and y is the secondary sequence number of the single-layer plane excavation. S2: For each P n-h-x-y Create plan parameter body S n-h-x-y and actual parameter body A n-h-x-y Define a single-unit rule base R for the single-unit foundation pit. n Define a group rule base R for the foundation pit group. g ; P n-h-x-y S n-h-x-y A n-h-x-y R n R g The mapping relationship is stored on the cloud server; S3: Collect data from each P at a preset frequency. n-h-x-y Update A based on actual construction data. n-h-x-y To the cloud server; S4: When A n-h-x-y During the update, based on Rn Perform verification; whereby, based on R n The verification process includes: verifying the temporal compliance of the primary sequence number x and the secondary sequence number y using the planar excavation sequence rules; verifying whether the actual excavation depth exceeds the planned excavation depth using the prohibition on over-excavation rules; and triggering early warning notifications for violations. S5: Under periodic or event-triggered conditions, based on R g Perform group validation; where, based on R g The process of performing group verification includes: verifying the excavation layer difference threshold between adjacent individual foundation pits using excavation pace coordination rules; verifying the construction time difference threshold of key layers using key layer sequence time difference constraints; and outputting regulatory prompts for violations. S6: When the excavation plan or foundation pit design changes, update the affected P. n-h-x-y S n-h-x-y A n-h-x-y The rules and mapping relationships are then established, and the process returns to step S3 for continued application.

[0008] In step S1, symmetrical excavation is performed in the same excavation layer of the individual foundation pit according to the blocks divided by the main sequence number x, and the soil load balance between the excavated area and the unexcavated area is maintained; in the foundation pit group, the excavation pace is coordinated between spatially adjacent individual foundation pits by controlling the difference in the sequence of their deepest excavation layers.

[0009] In step S2, the planning parameter body S n-h-x-y Including single-layer excavation depth and earthwork volume; actual parameter volume A n-h-x-y Inheritance Plan Parameters S n-h-x-y Add attributes and fields for excavation occurrence time and support construction time; group rule base R g This includes the definition rules for critical foundation pit groups, the absolute value of the maximum allowable excavation layer difference between adjacent individual foundation pits, and the maximum allowable time difference for the construction of critical layers.

[0010] In step S4, the process of verifying the planar excavation sequence rule includes primary sequence verification and secondary sequence verification; wherein, the primary sequence verification is: in the same excavation layer of a single foundation pit, verify whether all blocks with primary sequence numbers less than the current primary sequence number x have completed excavation; the secondary sequence verification is: in the same excavation layer of a single foundation pit, verify whether all blocks with secondary sequence numbers less than the current primary sequence number y have completed excavation.

[0011] In step S5, the condition for periodic triggering is: performing full foundation pit group analysis at fixed time intervals; the condition for event triggering is: being triggered when a single foundation pit completes the excavation of the key layer, starts the block excavation of the sensitive area, or a serious violation occurs.

[0012] The advantages of this invention are: by using cloud services as a carrier to arrange the three-dimensional spatial excavation tasks of the foundation pit group and unify the attributes of various parameters, the systematic collection of working condition information sources is improved, ensuring fine data granularity at the pit and block level; at the same time, data is uploaded and automatically aggregated at a specified frequency, ensuring timeliness and saving time and workload for personnel to verify, understand, and summarize; through rule bases at different scales for the internal management of individual foundation pits and the overall management of foundation pit groups, proactive prevention based on foundation pit group working condition analysis is achieved, thereby improving management level. Attached Figure Description

[0013] Figure 1 This is a schematic diagram illustrating the steps of the method for monitoring and analyzing complex working conditions in a large and ultra-deep foundation pit group according to the present invention. Figure 2 This is a computer flowchart of the method for monitoring and analyzing complex working conditions in a large and ultra-deep foundation pit group, as described in this invention. Figure 3 This is a schematic plan view of the deep foundation pit group of the underground hub of the present invention; Figure 4 This is a schematic diagram of the No. 3 individual foundation pit and its planar segmentation within the foundation pit group of the present invention; Figure 5 This is a schematic diagram of the No. 4 individual foundation pit and its planar segmentation within the foundation pit group of the present invention. Detailed Implementation

[0014] The features and other related features of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments, so as to facilitate understanding by those skilled in the art: Example: Figure 1 As shown, this embodiment relates to a method for monitoring and analyzing complex working conditions in a large and ultra-deep foundation pit group. The method mainly includes the following steps: S1: Task Arrangement and Breakdown of Excavation for Ultra-Large Deep Foundation Pit Complex: The foundation pit group is divided into several individual foundation pits by using the retaining structure as the boundary, and each individual foundation pit is further divided into excavation task units P along the three-dimensional space. n-h-x-y Where n is the number of the individual foundation pit, h is the excavation layer number of the individual foundation pit (h>=1), x is the main sequence number of the single-layer plane excavation (x>=1), and y is the secondary sequence number of the single-layer plane excavation (y>=1).

[0015] In this embodiment, firstly, based on the foundation pit group design, the foundation pit group is divided with the retaining structure as the boundary. Each individual foundation pit (sub-pit) is numbered n. Based on the foundation pit structure, excavation characteristics, and the planar excavation sequence (this sequence is for safety considerations, avoiding stress concentration on one side during excavation; therefore, a reasonable planar sequence can fully utilize the soil's own equilibrium effect and improve safety), the foundation pit construction object is divided into blocks along the three-dimensional space, designated as P. n-h-x-y For details, please refer to Figures 3-5 As shown.

[0016] S2: Basic data preparation for the acquisition module: For each P n-h-x-y Create plan parameter body S n-h-x-y and actual parameter body A n-h-x-y Define a single-unit rule base R for a single foundation pit. n Define a group rule base R for the foundation pit group g ; P n-h-x-y S n-h-x-y A n-h-x-y R n R g The mapping relationship is stored on the cloud server.

[0017] In this embodiment, for each excavation task P n-h-x-y Set basic parameters S n-h-x-y The parameter body may include, but is not limited to, business attributes such as single-layer excavation depth and earthwork volume. The parameter body representing the actual progress of each excavation task is denoted as A. n-h-x-y The parameter body contains S n-h-x-y In addition to the existing attribute fields, additional attribute fields such as excavation occurrence time and support construction time are added. Their initial values ​​are set to null, and they are updated to actual data after data collection. A rule base R for monitoring and analyzing the working conditions of each individual foundation pit is established. n (n is the pit number to which step S1 belongs), such as the planar excavation sequence rule (i.e., the order in which the planar excavation occurs, according to A). n-h-x-y The time of occurrence of the working condition was compared with A. n-h-x-y The order of x and y in the relevant data, where x should be carried out sequentially, and y should be carried out sequentially under the same x value, and over-excavation is strictly prohibited (i.e., A). n-h-x-y Excavation depth in <= S n-h-x-y The excavation depth, etc. (two examples are given, but not limited to these two). A rule base R for monitoring and analyzing the working conditions between individual foundation pits is established for the foundation pit group. g Examples include excavation pace coordination rule verification (configuring a key pit group to check whether the difference in the deepest excavation sequence between adjacent or significantly influential individual pits in a specified space is within the allowable range), and key sequence time difference constraint verification (configuring a key pit group to check whether the time difference between specified individual pits entering or completing a key layer (such as the bottom layer or the layer adjacent to important structures) is within the allowable range; two examples are given, but not limited to these two). P n-h-x-y S n-h-x-y A n-h-x-y R n R gThe mapping relationships between these elements are stored on a cloud server as a standardization foundation. The standardized spatial blocks are then distributed to the monitoring system of individual foundation pits within the foundation pit group via the cloud service.

[0018] S3: Partitioned data collection and uploading / aggregation: Collect each P at a preset frequency n-h-x-y Update A based on actual construction data. n-h-x-y To the cloud server.

[0019] In this embodiment, the participating units of each individual foundation pit obtain their respective zoning information, i.e., P. n-h-x-y (At this point, for a single foundation pit, n is a specified value). During the construction of a single foundation pit, actual conditions are collected according to a specified collection frequency (e.g., twice / day, at two specified time points each day), and A... n-h-x-y The parameter data is updated to the cloud server. A for each partition. n-h-x-y The parameter data is automatically collected on the cloud server.

[0020] S4: Single-unit foundation pit rule judgment cloud service: When A n-h-x-y During the update, based on R n Perform verification; whereby, based on R n The verification process includes: verifying the temporal compliance of the primary sequence number x and the secondary sequence number y using the planar excavation sequence rules; verifying whether the actual excavation depth is greater than the planned excavation depth using the prohibition of over-excavation rules; and triggering early warning notifications for violations.

[0021] In this embodiment, the cloud server receives a certain block P within a single foundation pit n. n-h-x-y Updated data A n-h-x-y The system locates the rule base R for that individual foundation pit based on n and h. n The system is based on R. n The rules defined in the code automatically execute the above verification logic to analyze the internal conditions of each individual foundation pit: 1. Follow the excavation sequence rules in the plane: Check the currently updated block P n-h-x-y The time of occurrence of the working condition A n-h-x-y .time retrieves information within the same excavation layer (h) of the single foundation pit (n) in the following manner: Main sequence number (x) verification: Checks all blocks (P) whose main sequence number (x') is less than the current x (i.e., x' < x). n-h-x'-y ) Has all of them been excavated (i.e., its A)? n-h-x'-y`.time` must be non-empty and earlier than the current time; if a block with a smaller primary sequence number has not been completed, then the excavation of the current block is considered to violate the primary sequence rule. Secondary sequence number (y) check: Check all blocks (P) with secondary sequence numbers (y') less than the current y (i.e., y' < y) under the same primary sequence number x. n-h-x-y' ) Has all of them been excavated (i.e., its A)? n-h-x-y' (The .time parameter is not empty and is earlier than the current time). If there is a block with a smaller sub-sequence number that has not been completed, then the excavation of the current block is determined to have violated the sub-sequence rule.

[0022] 2. Over-digging rule verification is strictly prohibited: Directly compare the actual excavation depth A n-h-x-y Is `.actual_depth` greater than the excavation depth `S` of this block plan? n-h-x-y If the actual value of .planned_depth is greater than the planned value, it is considered an over-digging violation.

[0023] Data prompts are provided to users for abnormal situations that do not conform to the rules; based on the internal rules of a single foundation pit, abnormal situations can be notified to the relevant construction units of the single foundation pit through notification methods (including but not limited to SMS push, system alarm, on-site broadcast, etc.).

[0024] S5: Cloud Service for Analysis of Working Conditions of Foundation Pit Groups Under periodic or event-triggered conditions, based on R g Perform group validation; where, based on R g The process of performing group verification includes: verifying the excavation layer difference threshold between adjacent individual foundation pits using excavation pace coordination rules; verifying the construction time difference threshold of key layers using key layer sequence time difference constraints; and outputting regulatory prompts for violations.

[0025] In this embodiment, based on compliance within individual foundation pits, the interaction between individual foundation pits in terms of excavation progress, spatial location, and time sequence is dynamically analyzed from the perspective of the entire foundation pit group. Relevant regulatory indicators are extracted for each foundation pit, and the deepest excavation condition (according to S) is considered. n-h-x-yThe deepest excavation depth is recorded as the deepest excavation condition of the individual foundation pit, serving as a key indicator for macro-management. Users can intuitively understand the depth reached by each individual foundation pit. Foundation pit group-level analysis is initiated using periodic and key event triggering methods. Periodic triggering can be a system setting fixed time intervals (e.g., every 4 hours or every 6 hours) to automatically perform overall analysis of the entire foundation pit group data. Key events can be triggered automatically when a significant change occurs in the excavation status of a single foundation pit (e.g., completion of excavation of a key layer h, initiation of segmented excavation of a spatially sensitive area, serious violation of step S4 in the individual foundation pit itself). The latest working condition dataset (all A) of all individual foundation pits is obtained from the cloud server. n-h-x-y ), applying R g The judgment is made according to the various rules in the document: 1. Verification of excavation pace coordination rules: Based on the configured key foundation pit group, examine the excavation depth differences between adjacent or significantly influential individual foundation pits in the specified space. For example, determine whether the difference in the layer number (h) currently being excavated between n1 and n2 exceeds the maximum allowable value (R). g The setting is such that |h_n1 - h_n2| <= 2). If it exceeds this value, it is determined that there is a risk of excessive difference in excavation depth between adjacent foundation pits.

[0026] 2. Key sequence time difference constraint verification: Configure a critical foundation pit group and check whether the time difference between each specified individual foundation pit entering or completing a critical layer (such as the bottom layer) is within the allowable range (R). g (A time threshold is set). If it is exceeded, it is determined that it may affect the overall construction safety of the pit group.

[0027] The system provides data alerts to users for any abnormal situations that do not conform to the rules, and users can take corresponding regulatory or corrective measures based on the analysis.

[0028] S6: Continuous Application and Process Maintenance When the excavation plan or foundation pit design changes, update the affected P. n-h-x-y S n-h-x-y A n-h-x-y The rules and mapping relationships are then established, and the process returns to step S3 for continued application.

[0029] In this embodiment, this methodology is continuously applied to support the overall management of the foundation pit group. When adjustments to the excavation plan or changes to the foundation pit design are encountered, causing changes to the originally planned portion of P... n-h-x-y S n-h-x-y A n-h-x-y R nThe mapping relationship between them no longer conforms to reality. The parts that have already occurred do not need to be changed. Only the affected parts need to be adjusted and maintained. After maintenance, return to step S3 to continue to be applied in the engineering construction process. As the project progresses and new survey projects or data are generated, follow step S1 to update the three-dimensional survey digital base in a timely manner to support the operation of the entire shared system.

[0030] In addition, such as Figure 2 As shown, the method is implemented through a computer system, which includes a foundation pit group monitoring and analysis system, a single foundation pit management system, a cloud server, and a process maintenance system. The cloud server integrates a spatial excavation task scheduling module, a foundation pit group working condition attribute module, and a working condition analysis module.

[0031] The beneficial technical effects of this embodiment are as follows: By using cloud services as a carrier to arrange the three-dimensional spatial excavation tasks of the foundation pit group and unify the attributes of various parameters, the systematic collection of working condition information sources is improved, ensuring fine data granularity at the pit and block level; at the same time, data is uploaded and automatically aggregated at a specified frequency, ensuring timeliness and saving time and workload for personnel to verify, understand, and summarize; through rule bases at different scales for the internal management of individual foundation pits and the overall management of foundation pit groups, proactive prevention based on foundation pit group working condition analysis is achieved, thereby improving management level.

Claims

1. A method for monitoring and analyzing complex working conditions in a group of ultra-large and ultra-deep foundation pits, characterized in that... The method includes the following steps: S1: Divide the foundation pit group into several individual foundation pits using the retaining structure as the boundary, and further divide the individual foundation pits into excavation task units P along the three-dimensional space. n-h-x-y Where n is the number of the individual foundation pit, h is the excavation layer number of the individual foundation pit, x is the main sequence number of the single-layer plane excavation, and y is the secondary sequence number of the single-layer plane excavation. S2: For each P n-h-x-y Create plan parameter body S n-h-x-y and actual parameter body A n-h-x-y Define a single-unit rule base R for the single-unit foundation pit. n Define a group rule base R for the foundation pit group. g ; P n-h-x-y S n-h-x-y A n-h-x-y R n R g The mapping relationship is stored on the cloud server; S3: Collect data from each P at a preset frequency. n-h-x-y Update A based on actual construction data. n-h-x-y To the cloud server; S4: When A n-h-x-y During the update, based on R n Perform verification; whereby, based on R n The verification process includes: verifying the temporal compliance of the primary sequence number x and the secondary sequence number y using the planar excavation sequence rules; verifying whether the actual excavation depth exceeds the planned excavation depth using the prohibition on over-excavation rules; and triggering early warning notifications for violations. S5: Under periodic or event-triggered conditions, based on R g Perform group validation; where, based on R g The process of performing group verification includes: verifying the excavation layer difference threshold between adjacent individual foundation pits using excavation pace coordination rules; verifying the construction time difference threshold of key layers using key layer sequence time difference constraints; and outputting regulatory prompts for violations. S6: When the excavation plan or foundation pit design changes, update the affected P. n-h-x-y S n-h-x-y A n-h-x-y The rules and mapping relationships are then established, and the process returns to step S3 for continued application.

2. The method for monitoring and analyzing the complex working conditions of a large and ultra-deep foundation pit group as described in claim 1, characterized in that... In step S1, symmetrical excavation is performed in the same excavation layer of the single foundation pit according to the blocks divided by the main sequence number x, and the soil load balance between the excavated area and the unexcavated area is maintained. In the aforementioned pit group, spatially adjacent individual pits achieve coordinated excavation pace by controlling the difference in their deepest excavation sequence.

3. The method for monitoring and analyzing complex working conditions of ultra-large and ultra-deep foundation pit groups as described in claim 2, characterized in that... In step S2, the planning parameter body S n-h-x-y Including single-layer excavation depth and earthwork volume; actual parameter volume A n-h-x-y Inheritance Plan Parameters S n-h-x-y Add attributes and fields for excavation occurrence time and support construction time; group rule base R g This includes the definition rules for critical foundation pit groups, the absolute value of the maximum allowable excavation layer difference between adjacent individual foundation pits, and the maximum allowable time difference for the construction of critical layers.

4. The method for monitoring and analyzing complex working conditions of ultra-large and ultra-deep foundation pit groups as described in claim 3, characterized in that... In step S4, the process of verifying the planar excavation sequence rule includes primary sequence verification and secondary sequence verification; wherein, the primary sequence verification is: in the same excavation layer of a single foundation pit, verify whether all blocks with primary sequence numbers less than the current primary sequence number x have completed excavation; the secondary sequence verification is: in the same excavation layer of a single foundation pit, verify whether all blocks with secondary sequence numbers less than the current primary sequence number y have completed excavation.

5. The method for monitoring and analyzing complex working conditions of ultra-large and ultra-deep foundation pit groups as described in claim 4, characterized in that... In step S5, the condition for periodic triggering is: performing full foundation pit group analysis at fixed time intervals; the condition for event triggering is: triggering when a single foundation pit completes the excavation of the key layer, starts the block excavation of the sensitive area, or a serious violation occurs.

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