A BIM-based deep foundation pit automatic monitoring system

Abstract

The present invention relates to the field of deep foundation pit monitoring technology, and in particular to a deep foundation pit automatic monitoring system based on BIM, the system comprising a data acquisition module, a big data search module, a data classification module and an intelligent setting module, wherein the intelligent setting module determines a screening condition according to the BIM data of a target deep foundation pit project, determines a number of source BIM deep foundation pit projects according to the screening condition and obtains a monitoring scheme corresponding to each source BIM deep foundation pit project, determines a monitoring point setting strategy for the type to be monitored and sets the corresponding monitoring point on the BIM model of the target deep foundation pit project, determines the independent monitoring state of a single monitoring point according to the number of monitoring points within a preset range of the single monitoring point, and determines whether the monitoring point is a monitoring point according to the judgment result of the independent monitoring state of the single monitoring point combined with the monitoring accuracy of the monitoring point. The present invention realizes the accurate and efficient setting of monitoring points for the target deep foundation pit project.

Description

Technical Field

[0001] The present invention relates to the technical field of deep foundation pit monitoring, and in particular to a BIM-based deep foundation pit automatic monitoring system. Background Art

[0002] Deep foundation pit projects have the characteristics of large area, deep depth, complex geological conditions, and sensitive surrounding environment. The stability and safety issues in the construction process are becoming increasingly prominent. In order to ensure the safe construction of deep foundation pit projects, reduce quality accidents and potential accidents, and ensure the safety of surrounding buildings, underground pipelines and roads, deep foundation pit monitoring technology has emerged. This technology uses scientific and systematic monitoring methods to grasp various data during the foundation pit excavation process in real time, provide timely and accurate feedback information for construction, thereby optimizing the design and construction plan and ensuring the smooth progress of the foundation pit project.

[0003] Chinese patent publication number CN117493815A discloses a deep foundation pit monitoring method and system based on BIM. Specifically, the present invention relates to the field of deep foundation pit monitoring technology, and is used to solve the problem of inaccurate monitoring during deep foundation pit construction. The present invention performs variance analysis on the monitoring equipment, obtains the corresponding equipment monitoring data information, determines the degree of influence of each group of equipment monitoring data on the monitoring results and performs statistics, analyzes the equipment monitoring data according to the time dimension, and uses wavelet transform to process the equipment monitoring data. After processing, the inverse wavelet transform is performed to reconstruct the original signal, thereby determining the status of the monitoring equipment of the deep foundation pit. After determining the status of the monitoring equipment, the support structure of the deep foundation pit is monitored, and the stress condition of the support structure of the deep foundation pit is jointly analyzed with the support structure monitoring data to determine the support structure condition, and early warning processing is performed when problems occur in the monitoring, thereby improving the safety of the deep foundation pit construction process and the accuracy of safety warnings. It can be seen that the invention has the following problems:

[0004] It is impossible to quickly and accurately determine the monitoring points of various monitoring types in the target deep foundation pit project. Summary of the invention

[0005] To this end, the present invention provides a BIM-based deep foundation pit automatic monitoring system to overcome the problem in the prior art that there is no system that can quickly and accurately determine monitoring points of various monitoring types in a target deep foundation pit project.

[0006] To achieve the above object, the present invention provides a deep foundation pit automatic monitoring system based on BIM, comprising:

[0007] A data acquisition module is used to acquire BIM data of a target deep foundation pit project, wherein the BIM data includes geological survey data, design dimensions, and types to be monitored, wherein the design dimensions are the ratio of the length, width, and depth of the target deep foundation pit project;

[0008] A big data search module, which is connected to the data acquisition module, is used to determine a number of source BIM deep foundation pit projects and obtain a monitoring plan and monitoring accuracy corresponding to each of the source BIM deep foundation pit projects, wherein the monitoring plan includes a number of monitoring types and a reference monitoring point location and a reference monitoring frequency corresponding to each monitoring type;

[0009] A data classification module, which is connected to the big data search module, is used to determine a setting strategy of a point to be monitored corresponding to a type to be monitored in each of the source BIM deep foundation pit projects according to a monitoring plan of each of the source BIM deep foundation pit projects, wherein the setting strategy of the point to be monitored includes a plurality of locations of the point to be monitored and a frequency to be monitored;

[0010] An intelligent setting module is respectively connected to the data acquisition module, the big data search module and the data classification module, and is used to determine the screening conditions of the source BIM deep foundation pit project according to the BIM data of the target deep foundation pit project, control the big data search module according to the screening conditions to determine a number of source BIM deep foundation pit projects and obtain the monitoring scheme corresponding to each source BIM deep foundation pit project, determine the monitoring point setting strategy of the type to be monitored and set the corresponding points to be monitored on the BIM model of the target deep foundation pit project, determine the independent monitoring status of a single point to be monitored according to the number of points to be monitored within a preset range of the single point to be monitored, and determine whether the point to be monitored is a monitoring point according to the judgment result of the independent monitoring status of the single point to be monitored combined with the monitoring accuracy of the point to be monitored.

[0011] Furthermore, the intelligent setting module determines the screening conditions of the source BIM deep foundation pit project according to the BIM data of the target deep foundation pit project, and the screening conditions include a first screening condition determined according to the geological survey data of the target deep foundation pit project and a second screening condition determined according to the design size of the target deep foundation pit project.

[0012] Furthermore, the intelligent setting module is preset with a first screening condition formulation constraint and a second screening condition formulation constraint;

[0013] The first screening condition is constrained to ensure that the ratio of the geological survey data of the source BIM deep foundation pit project to the geological survey data corresponding to the target deep foundation pit project is within a preset range;

[0014] The second screening condition sets a constraint that the design size of the source BIM deep foundation pit project is the same as the design size of the target deep foundation pit project.

[0015] Furthermore, the data classification module determines the number of points to be monitored according to the sum of the number of reference monitoring points of the type to be monitored in each source BIM deep foundation pit project.

[0016] Furthermore, the data classification module determines the position of the point to be monitored based on the positional relationship between the single reference monitoring point and the corresponding source BIM deep foundation pit;

[0017] Among them, the positional relationship between a single reference monitoring point and the corresponding source BIM deep foundation pit is the same as the positional relationship between the corresponding point to be monitored and the target deep foundation pit project.

[0018] Furthermore, the data classification module determines the frequency to be monitored according to the average reference monitoring frequency of the type to be monitored of each of the source BIM deep foundation pit projects.

[0019] Furthermore, the intelligent setting module determines the independent monitoring state of a single monitoring point according to the number of monitoring points of the single monitoring point in the corresponding search ball, including:

[0020] If the number of the single monitored point in the search sphere is greater than the preset number, the independent monitoring state of the single monitored point is determined to be non-independent monitoring;

[0021] If the number of the single monitored point in the search sphere is less than or equal to the preset number, the independent monitoring state of the single monitored point is determined to be independent monitoring.

[0022] Furthermore, the intelligent setting module determines whether the single monitored point is a monitoring point according to the judgment result that the single monitored point is an independent monitoring point and the monitoring accuracy of the reference monitoring point corresponding to the monitored point, wherein:

[0023] If the monitoring accuracy of the reference monitoring point corresponding to the point to be monitored is greater than or equal to the accuracy reference value, the point to be monitored is determined to be a monitoring point.

[0024] Furthermore, the intelligent setting module determines the retrieval ball of a single point to be monitored according to the position of the point to be monitored and the reference radius;

[0025] The retrieval ball is a ball with a single monitoring point as the center and a reference radius as the radius.

[0026] Further, the intelligent setting module determines the reference radius according to the average distance between any two adjacent reference monitoring points of the type to be monitored in each of the source BIM deep foundation pit projects;

[0027] Among them, the reference radius is the average value of the average distances between any two adjacent reference monitoring points of the type to be monitored in each of the source BIM deep foundation pit projects.

[0028] Compared with the prior art, the beneficial effect of the present invention lies in that the BIM-based deep foundation pit automatic monitoring system provided by the present invention realizes the accurate and efficient setting of monitoring points of the target deep foundation pit project by integrating data acquisition module, big data search module, data classification module and intelligent setting module; the system makes full use of the detailed nature of BIM data, combines key information such as geological survey and design size, intelligently screens similar source BIM deep foundation pit projects, and adaptively determines the optimal setting strategy of the points to be monitored based on their monitoring schemes and accuracy, thereby ensuring the rationality of the monitoring point locations; and, by distinguishing the independent monitoring status of the points to be monitored and the monitoring accuracy of the corresponding reference monitoring points, the necessary and effective monitoring points are intelligently screened out, thereby effectively avoiding the waste of monitoring resources, ensuring that the safety monitoring of the target deep foundation pit project is both comprehensive and economical, and providing solid technical support for the smooth implementation of the project.

[0029] Furthermore, the dual screening mechanism of the intelligent setting module effectively avoids deviations in the monitoring plan due to differences in geological conditions or design inconsistencies, ensures the scientific and targeted setting of monitoring points, improves the monitoring efficiency and safety of the target deep foundation pit project, and provides strong technical support for the smooth progress of the project.

[0030] Furthermore, the data classification module significantly improved the intelligence and refinement of the target deep foundation pit project monitoring work, providing a strong guarantee for the smooth implementation and risk control of the project.

[0031] Furthermore, the intelligent setting module achieves the optimal selection and precise layout of monitoring points for deep foundation pit projects by introducing a retrieval ball and an independent monitoring status determination mechanism, combined with considerations of monitoring accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 A connection diagram of a deep foundation pit automatic monitoring system based on BIM according to an embodiment of the present invention;

[0033] Figure 2 A diagram showing the steps of determining screening conditions by the intelligent setting module according to an embodiment of the present invention;

[0034] Figure 3 A diagram showing the steps for determining a setting strategy for a point to be monitored by a data classification module according to an embodiment of the present invention;

[0035] Figure 4 The figure is a flow chart of an intelligent setting module according to an embodiment of the present invention determining whether a to-be-monitored point is a monitoring point. DETAILED DESCRIPTION

[0036] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0037] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0038] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0039] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0040] See also Figure 1 As shown, it is a connection diagram of a deep foundation pit automatic monitoring system based on BIM according to an embodiment of the present invention. An embodiment of the present invention provides a deep foundation pit automatic monitoring system based on BIM, including:

[0041] A data acquisition module is used to acquire BIM data of a target deep foundation pit project, wherein the BIM data includes geological survey data, design dimensions and types to be monitored, wherein the design dimensions are the ratio of the length, width and depth of the target deep foundation pit project; in implementation, the design dimensions of the target deep foundation pit project are length: width: depth, and the values ​​of the length, width and depth of each target deep foundation pit project are all positive values, that is, the method for establishing the coordinate system when establishing the coordinate system of the target deep foundation pit project to determine the values ​​of its length, width and depth are all the same;

[0042] A big data search module, which is connected to the data acquisition module, is used to determine a number of source BIM deep foundation pit projects and obtain the monitoring scheme and monitoring accuracy corresponding to each of the source BIM deep foundation pit projects. In implementation, the monitoring accuracy of a single monitoring point is the matching degree between the predicted monitoring data and the actual monitoring data of the point in the BIM software, that is, monitoring accuracy = 1-(|predicted monitoring data-actual monitoring data|÷actual monitoring data). The monitoring scheme includes a number of monitoring types and the reference monitoring point position corresponding to each monitoring type (the length, width and depth values ​​of the reference monitoring point are determined according to the coordinate system of the source BIM deep foundation pit project corresponding to the reference monitoring point, forming a position representation method of the (x, y, z) type) and a reference monitoring frequency;

[0043] A data classification module, which is connected to the big data search module, is used to determine a setting strategy of a point to be monitored corresponding to a type to be monitored in each of the source BIM deep foundation pit projects according to a monitoring plan of each of the source BIM deep foundation pit projects, wherein the setting strategy of the point to be monitored includes a plurality of locations of the point to be monitored and a frequency to be monitored;

[0044] An intelligent setting module is respectively connected to the data acquisition module, the big data search module and the data classification module, and is used to determine the screening conditions of the source BIM deep foundation pit project according to the BIM data of the target deep foundation pit project, control the big data search module according to the screening conditions to determine a number of source BIM deep foundation pit projects and obtain the monitoring scheme corresponding to each source BIM deep foundation pit project, determine the monitoring point setting strategy of the type to be monitored and set the corresponding points to be monitored on the BIM model of the target deep foundation pit project, determine the independent monitoring status of a single point to be monitored according to the number of points to be monitored within a preset range of the single point to be monitored, and determine whether the point to be monitored is a monitoring point according to the judgment result of the independent monitoring status of the single point to be monitored combined with the monitoring accuracy of the point to be monitored.

[0045] It is understandable that there are several types of monitoring for a single target deep foundation pit project, including: support structure monitoring, surrounding environment monitoring, groundwater monitoring, soil monitoring and foundation pit deformation monitoring.

[0046] See also Figure 2As shown, it is a step diagram of determining the screening conditions by the intelligent setting module of an embodiment of the present invention. Specifically, the intelligent setting module determines the screening conditions of the source BIM deep foundation pit project according to the BIM data of the target deep foundation pit project, and the screening conditions include a first screening condition determined according to the geological survey data of the target deep foundation pit project and a second screening condition determined according to the design size of the target deep foundation pit project; in implementation, the steps of determining the screening conditions are: (1) determining the first screening condition according to the geological survey data of the target deep foundation pit project; (2) determining the second screening condition according to the design size of the target deep foundation pit project; (3) combining the first screening condition and the second screening condition to determine the screening condition.

[0047] Specifically, the intelligent setting module is preset with a first screening condition formulation constraint and a second screening condition formulation constraint;

[0048] Among them, the first screening condition is constrained to be that the ratio of the geological survey data of the source BIM deep foundation pit project to the geological survey data corresponding to the target deep foundation pit project is within a preset range; it can be understood that the geological survey data includes several items, and the first screening condition is that the ratio of each geological survey data of the source BIM deep foundation pit project to the corresponding geological survey data of the target deep foundation pit project must be within a preset range, that is, the jth geological survey data of the source BIM deep foundation pit project: the jth geological survey data of the target deep foundation pit project∈preset range, the preset range should be less than 1:1.1~1.1:1, preferably the preset range is 1:1.05~1.05:1;

[0049] The second screening condition sets the constraint that the design size of the source BIM deep foundation pit project is the same as the design size of the target deep foundation pit project. In implementation, the design size of the source BIM deep foundation pit project is the same as the design size of the target deep foundation pit project, which is defined as the length of the source BIM deep foundation pit project: the length of the target deep foundation pit project = the width of the source BIM deep foundation pit project: the width of the target deep foundation pit project = the depth of the source BIM deep foundation pit project: the width and depth of the target deep foundation pit project.

[0050] It is understandable that the intelligent setting module uses geological survey data and design dimensions as dual screening conditions, which improves the accuracy and rationality of the monitoring point setting of the target deep foundation pit project; the intelligent setting module formulates constraints based on the preset screening conditions, which not only ensures that the geological conditions of the source BIM deep foundation pit project are highly similar to the project to be monitored, but also strictly requires the consistency of the design dimensions, thereby ensuring that the screened source project can be used as a reliable reference. This dual screening mechanism effectively avoids the deviation of the monitoring plan caused by differences in geological conditions or design inconsistencies, ensures the scientificity and pertinence of the monitoring point setting, further improves the monitoring efficiency and safety of the target deep foundation pit project, and provides a strong technical guarantee for the smooth progress of the project.

[0051] See also Figure 3 As shown, it is a step diagram of the data classification module determining the setting strategy of the points to be monitored in an embodiment of the present invention. Specifically, the data classification module determines the number of points to be monitored according to the sum of the number of reference monitoring points of the types to be monitored in each source BIM deep foundation pit project.

[0052] In implementation, the number of points to be monitored is calculated according to the following formula;

[0053] , where is the number of points to be monitored, is the number of source BIM deep foundation pit projects, For the The number of reference monitoring points of the type to be monitored in a source BIM deep foundation pit project.

[0054] Specifically, the data classification module determines the location of the point to be monitored based on the positional relationship between a single reference monitoring point and the corresponding source BIM deep foundation pit;

[0055] Among them, the positional relationship between a single reference monitoring point and the corresponding source BIM deep foundation pit is the same as the positional relationship between the corresponding point to be monitored and the target deep foundation pit project.

[0056] It can be understood that the ratio of the length of a single reference monitoring point to the length of the corresponding monitoring point = the ratio of the width of the reference monitoring point to the width of the corresponding monitoring point = the ratio of the depth of the reference monitoring point to the depth of the corresponding monitoring point = the length of the target deep foundation pit project = the width of the source BIM deep foundation pit project: the width of the target deep foundation pit project = the depth of the source BIM deep foundation pit project: the width and depth of the target deep foundation pit project;

[0057] In one implementation, the design dimensions of the source BIM deep foundation pit project are (6,5,5), the design dimensions of the target deep foundation pit project are (9,7.5,7.5), and the position of a reference monitoring point is (2,4,2). Then 6:9=5:7.5=5:7.5=1:1.5, and the corresponding position of the monitoring point of the reference monitoring point is (2×1.5,4×1.5,2×1.5)=(3,6,3).

[0058] Specifically, the data classification module determines the frequency to be monitored according to the average reference monitoring frequency of the type to be monitored of each of the source BIM deep foundation pit projects.

[0059] In implementation, the frequency to be monitored is the average of the average reference monitoring frequencies of the types to be monitored in each source BIM deep foundation pit project.

[0060] It can be understood that the data classification module greatly enhances the flexibility and accuracy of the monitoring scheme of the target deep foundation pit project through a refined data processing and mapping mechanism: first, the reasonable number of monitoring points to be monitored is determined based on the sum of the number of reference monitoring points of the same type as the type to be monitored in multiple source BIM deep foundation pit projects, ensuring the comprehensiveness and pertinence of the monitoring coverage; at the same time, by accurately matching the position relationship between a single reference monitoring point and the corresponding source BIM deep foundation pit project, and determining the specific location of the monitoring point accordingly, the seamless connection and precise mapping of the monitoring point position from the source BIM deep foundation pit project to the target deep foundation pit project is achieved, ensuring the rationality and effectiveness of the monitoring point layout; in addition, by calculating the average reference monitoring frequency of similar monitoring points in each source BIM deep foundation pit project and taking its average value as the frequency to be monitored, the scientificity and rationality of the monitoring frequency setting are further improved, so that the monitoring work can capture key data changes more efficiently, providing a solid data foundation for the project's safety management and decision support. Therefore, the data classification module significantly improves the intelligence level and refinement of the monitoring work of the target deep foundation pit project, providing a strong guarantee for the smooth implementation and risk control of the project.

[0061] See also Figure 4 As shown, it is a flow chart of the intelligent setting module determining whether a to-be-monitored point is a monitoring point according to an embodiment of the present invention. Specifically, the intelligent setting module determines the independent monitoring state of a single to-be-monitored point according to the number of to-be-monitored points in the corresponding search ball, including:

[0062] If the number of the single monitored point in the search sphere is greater than the preset number, it is determined that the monitoring overlap between the single monitored point and other monitored points is high, that is, the monitoring content of the single monitored point is replaceable, and the independent monitoring state of the single monitored point is determined to be non-independent monitoring;

[0063] If the number of a single monitored point in the retrieval sphere is less than or equal to the preset number, it is determined that the monitoring overlap between the monitored point and other monitored points is low, that is, the monitoring content of the monitored point is irreplaceable, and the independent monitoring status of the single monitored point is determined to be independent monitoring.

[0064] It is understandable that the larger the preset number is, the more waste of resources and the increase in cost will be caused, and if the preset number is too small, it will lead to incomplete monitoring. Therefore, in implementation, the preset number is ≥2, and is preferably set to 2.

[0065] Specifically, the intelligent setting module determines whether the single monitored point is a monitoring point according to the judgment result that the single monitored point is an independent monitoring point and the monitoring accuracy of the reference monitoring point corresponding to the monitored point, wherein:

[0066] If the monitoring accuracy of the reference monitoring point corresponding to the to-be-monitored point is greater than or equal to the accuracy reference value, the to-be-monitored point is determined to be a monitoring point;

[0067] If the monitoring accuracy of the reference monitoring point corresponding to the to-be-monitored point is less than the accuracy reference value, it is determined that the to-be-monitored point is not a monitoring point.

[0068] It is understandable that the determination of a monitoring point as a monitoring point requires that the following conditions are met at the same time: (1) the monitoring point is independently monitored; and (2) the detection accuracy of the reference monitoring point corresponding to the monitoring point is ≥ the accuracy reference value.

[0069] In implementation, the accuracy reference value is ≥80%, and is preferably set to 90%.

[0070] Specifically, the intelligent setting module determines the retrieval ball of a single point to be monitored according to the position of the point to be monitored and the reference radius;

[0071] The retrieval ball is a ball with a single monitoring point as the center and a reference radius as the radius.

[0072] It can be understood that each monitoring point has its unique corresponding retrieval ball.

[0073] Specifically, the intelligent setting module determines the reference radius according to the average distance between any two adjacent reference monitoring points of the type to be monitored in each of the source BIM deep foundation pit projects;

[0074] Among them, the reference radius is the average value of the average distances between any two adjacent reference monitoring points of the type to be monitored in each of the source BIM deep foundation pit projects.

[0075] It can be understood that the average distance between any two adjacent reference monitoring points of the type to be monitored in a single source BIM deep foundation pit project is first determined, and then the average value of the average distance between any two adjacent reference monitoring points of the type to be monitored in each source BIM deep foundation pit project is set as the reference radius.

[0076] It can be understood that by constructing a retrieval sphere with the location of the point to be monitored as the center and the reference radius as the radius, and by determining the reference radius based on the average distance between adjacent reference monitoring points in each source BIM deep foundation pit project, the setting of the retrieval sphere is more reasonable and in line with actual project needs, thereby improving the pertinence and practicality of the monitoring plan.

[0077] It is understandable that the intelligent setting module has achieved the optimal selection and precise layout of monitoring points for deep foundation pit projects by introducing the retrieval ball and independent monitoring status determination mechanism, as well as combining the consideration of monitoring accuracy: first, according to the distribution of the monitoring points within their retrieval ball, the monitoring overlap and independent monitoring status of a single monitoring point are intelligently evaluated, effectively avoiding the waste of monitoring resources and unnecessary increase in costs; by presetting a reasonable reference number (such as 2), the comprehensiveness of monitoring is guaranteed while taking into account the economy; combined with the monitoring accuracy of the reference monitoring points, the monitoring points that are truly valuable to monitor are intelligently screened out, ensuring the accuracy and reliability of the monitoring data. This dual screening mechanism (independent monitoring status and monitoring accuracy) ensures the scientificity and efficiency of the monitoring point setting.

[0078] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A BIM-based deep foundation pit automatic monitoring system, characterized in that: include: A data acquisition module is used to acquire BIM data of a target deep foundation pit project, wherein the BIM data includes geological survey data, design dimensions, and types to be monitored, wherein the design dimensions are the ratio of the length, width, and depth of the target deep foundation pit project; A big data search module, which is connected to the data acquisition module, is used to determine a number of source BIM deep foundation pit projects and obtain a monitoring plan and monitoring accuracy corresponding to each of the source BIM deep foundation pit projects, wherein the monitoring plan includes a number of monitoring types and a reference monitoring point location and a reference monitoring frequency corresponding to each monitoring type; A data classification module, which is connected to the big data search module, is used to determine a setting strategy of a point to be monitored corresponding to a type to be monitored in each of the source BIM deep foundation pit projects according to a monitoring plan of each of the source BIM deep foundation pit projects, wherein the setting strategy of the point to be monitored includes a plurality of locations of the point to be monitored and a frequency to be monitored; an intelligent setting module, which is respectively connected to the data acquisition module, the big data search module and the data classification module, and is used to determine the screening conditions of the source BIM deep foundation pit project according to the BIM data of the target deep foundation pit project, control the big data search module according to the screening conditions to determine a number of source BIM deep foundation pit projects and obtain the monitoring scheme corresponding to each source BIM deep foundation pit project, determine the monitoring point setting strategy of the type to be monitored and set the corresponding points to be monitored on the BIM model of the target deep foundation pit project, determine the independent monitoring state of a single point to be monitored according to the number of points to be monitored within a preset range of the single point to be monitored, and determine whether the point to be monitored is a monitoring point according to the judgment result of the independent monitoring state of the single point to be monitored combined with the monitoring accuracy of the point to be monitored; The intelligent setting module determines the screening conditions of the source BIM deep foundation pit project according to the BIM data of the target deep foundation pit project, wherein the screening conditions include a first screening condition determined according to the geological survey data of the target deep foundation pit project and a second screening condition determined according to the design size of the target deep foundation pit project; The intelligent setting module is preset with a first screening condition formulation constraint and a second screening condition formulation constraint; The first screening condition is constrained to ensure that the ratio of the geological survey data of the source BIM deep foundation pit project to the geological survey data corresponding to the target deep foundation pit project is within a preset range; The second screening condition sets a constraint that the design size of the source BIM deep foundation pit project is the same as the design size of the target deep foundation pit project.

2. The BIM-based deep foundation pit automatic monitoring system according to claim 1 is characterized in that: The data classification module determines the number of points to be monitored according to the sum of the number of reference monitoring points of the type to be monitored in each source BIM deep foundation pit project.

3. The BIM-based deep foundation pit automatic monitoring system according to claim 2 is characterized in that: The data classification module determines the position of the point to be monitored based on the positional relationship between a single reference monitoring point and the corresponding source BIM deep foundation pit; Among them, the positional relationship between a single reference monitoring point and the corresponding source BIM deep foundation pit is the same as the positional relationship between the corresponding point to be monitored and the target deep foundation pit project.

4. The BIM-based deep foundation pit automatic monitoring system according to claim 3 is characterized in that: The data classification module determines the frequency to be monitored according to the average reference monitoring frequency of the type to be monitored of each of the source BIM deep foundation pit projects.

5. The BIM-based deep foundation pit automatic monitoring system according to claim 1 is characterized in that: The intelligent setting module determines the independent monitoring state of a single monitored point according to the number of monitored points in the corresponding search ball, including: If the number of the single monitored point in the search sphere is greater than the preset number, the independent monitoring state of the single monitored point is determined to be non-independent monitoring; If the number of the single monitored point in the search sphere is less than or equal to the preset number, the independent monitoring state of the single monitored point is determined to be independent monitoring.

6. The BIM-based deep foundation pit automatic monitoring system according to claim 5 is characterized in that: The intelligent setting module determines whether the single monitored point is a monitoring point according to the judgment result that the single monitored point is an independent monitoring point and the monitoring accuracy of the reference monitoring point corresponding to the monitored point, wherein: If the monitoring accuracy of the reference monitoring point corresponding to the point to be monitored is greater than or equal to the accuracy reference value, the point to be monitored is determined to be a monitoring point.

7. The BIM-based deep foundation pit automatic monitoring system according to claim 5 is characterized in that: The intelligent setting module determines the retrieval ball of a single point to be monitored according to the position of the point to be monitored and the reference radius; The retrieval ball is a ball with a single monitoring point as the center and a reference radius as the radius.

8. The BIM-based deep foundation pit automatic monitoring system according to claim 7 is characterized in that: The intelligent setting module determines the reference radius according to the average distance between any two adjacent reference monitoring points of the type to be monitored in each of the source BIM deep foundation pit projects; Among them, the reference radius is the average value of the average distances between any two adjacent reference monitoring points of the type to be monitored in each of the source BIM deep foundation pit projects.

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