Survey method, system, electronic device and computer-readable medium based on BIM integration

Abstract

The present invention discloses a survey method, system, electronic device and computer-readable medium based on BIM fusion provided by the present application, and relates to the field of BIM technology. The survey method based on BIM fusion constructs a BIM visual settlement early warning monitoring platform, uses gray correlation weighting to screen key settlement influencing factors and initial weights of key settlement influencing factors, determines the dynamic weights of key settlement influencing factors based on the initial weights of key settlement influencing factors and the basic weights of key settlement influencing factors, obtains settlement prediction values ​​based on the dynamic weights of key settlement influencing factors, integrates the settlement prediction values ​​into the BIM visual settlement early warning monitoring platform, and screens and determines the final construction design plan. Through the survey method integrated with BIM, the settlement prediction values ​​of each key construction node can be determined in advance. If the settlement prediction value exceeds the safety threshold, the construction plan can be screened and the final construction design plan can be determined to ensure construction safety.

Description

Technical Field

[0001] The present invention relates to the field of BIM technology, and more particularly to a survey method, system, electronic device and computer-readable medium based on BIM fusion. Background Art

[0002] With the rapid development of urbanization, more and more underground projects, especially foundation pit excavation, are used in the development and utilization of underground space. However, during the excavation of the foundation pit, the soil inside and outside the foundation pit and its surrounding structures may cause deformation, settlement or collapse due to changes in stress state, which may cause engineering disasters in serious cases. Therefore, during the construction of the foundation pit, the foundation pit and its surrounding strata should be fully monitored to ensure the safety of the project. BIM technology can be used to monitor the soil pressure, settlement, water level and other parameters of the foundation pit, and display them in the BIM model to ensure the safety of the foundation pit construction. Traditional monitoring methods are often backward manual collection methods with long collection cycles, high costs, incomplete monitoring, and obvious data lag. This data lag may lead to the instability of the foundation pit due to the adoption of inappropriate foundation pit construction plans. Summary of the invention

[0003] The purpose of the present invention is to address the shortcomings of the prior art and provide a survey method, system, electronic device and computer-readable medium based on BIM integration, aiming to use BIM technology to build a BIM visual settlement early warning monitoring platform, integrate the settlement prediction value into the BIM visual settlement early warning monitoring platform, and screen and determine the final construction design plan.

[0004] To this end, this application provides a survey method based on BIM fusion, including

[0005] Based on the target roadbed survey information and basic information, BIM modeling is carried out on the target roadbed, and a BIM visual settlement early warning monitoring platform is constructed;

[0006] Based on the engineering geological analogy method, determine the existing foundation pit similar to the target roadbed and obtain the monitoring data of the influencing factors of the existing foundation pit settlement;

[0007] Based on the monitoring data of settlement influencing factors, the grey correlation weighted degree is used to screen the key settlement influencing factors and the initial weights of the key settlement influencing factors;

[0008] Determine the key settlement influencing factors and frequencies of existing foundation pit settlement damage, and perform normalization processing to obtain the basic weights of key settlement influencing factors;

[0009] Determine the dynamic weight of the key settlement influencing factor based on the initial weight of the key settlement influencing factor and the basic weight of the key settlement influencing factor, and obtain the settlement prediction value based on the dynamic weight of the key settlement influencing factor;

[0010] Based on the construction design scheme to be screened, the key settlement influencing factor data are determined, and the settlement prediction value is integrated into the BIM visual settlement early warning monitoring platform to screen and determine the final construction design scheme.

[0011] In some specific implementations, based on the monitoring data of the sedimentation influencing factors, the key sedimentation influencing factors and the initial weights of the key sedimentation influencing factors are screened using the grey correlation weighted degree, specifically including:

[0012] Assume that the sedimentation sequence is

[0013]

[0014] The reference sequence of monitoring data of the corresponding sedimentation influencing factors is:

[0015]

[0016] The mutual information estimated based on entropy is:

[0017]

[0018] In the formula, is the information entropy of the sedimentation; is the information entropy of the parameter; is the joint entropy of the parameter and sedimentation series;

[0019] The weighted correlation is:

[0020]

[0021] Where: For the The weighted correlation of the impact factors, , 2, is the number of factors affecting settlement; is a moment in the time series; is the resolution coefficient; is the total number of time periods; For the Impact Factor k Comparative sequence data at each moment;

[0022] Based on the weighted correlation, key features are screened and key settlement influencing factors and initial weights of key settlement influencing factors are determined.

[0023] In some specific implementations, the dynamic weight of the key settlement influencing factor is determined based on the initial weight of the key settlement influencing factor and the basic weight of the key settlement influencing factor, and the settlement prediction value is obtained based on the dynamic weight of the key settlement influencing factor, specifically:

[0024]

[0025] Where: For the Standard weights of key settlement influencing factors; For the The initial weights of the key settlement influencing factors; For the The basic weights of the key settlement influencing factors are obtained by normalizing the influencing factors and frequency of foundation pit settlement deformation accidents and the percentage of each key settlement influencing factor. is the number of key settlement influencing factors; is the serial number of the key settlement influencing factor (sorted in order of initial weight);

[0026]

[0027] Where: For the Key factors affecting settlement Dynamic weight after update; For the Key factors affecting settlement The entropy weight of the update; is the number of dynamic weight updates;

[0028] The calculation formula for the predicted settlement value is:

[0029]

[0030] Where: is the foundation pit settlement index; is the settlement value of each key settlement influencing factor.

[0031] In some specific implementations, existing foundation pits similar to the target roadbed are determined based on the engineering geological analogy method, and monitoring data of factors affecting the settlement of existing foundation pits are obtained, specifically: there are no less than 10 existing foundation pits, and no less than 3 of the existing foundation pits have experienced foundation pit settlement and deformation accidents.

[0032] This application also provides a survey system based on BIM fusion, including

[0033] Modeling unit, used to perform BIM modeling of the target roadbed based on the target roadbed survey information and basic information, and to build a BIM visual settlement early warning monitoring platform;

[0034] An acquisition unit is used to determine an existing foundation pit similar to the target roadbed based on an engineering geological analogy method, and to acquire monitoring data of factors affecting the settlement of the existing foundation pit;

[0035] An initial weight unit is used to screen key settlement influencing factors and initial weights of key settlement influencing factors based on settlement influencing factor monitoring data using grey correlation weighting;

[0036] The basic weight unit is used to determine the key settlement influencing factors and frequencies of existing foundation pit settlement damage, and perform normalization processing to obtain the basic weights of key settlement influencing factors;

[0037] A prediction unit, used to determine the dynamic weight of the key settlement influencing factor based on the initial weight of the key settlement influencing factor and the basic weight of the key settlement influencing factor, and obtain the settlement prediction value based on the dynamic weight of the key settlement influencing factor;

[0038] The screening unit is used to determine the key settlement influencing factor data based on the construction design scheme to be screened, and integrate the settlement prediction value into the BIM visual settlement early warning monitoring platform to screen and determine the final construction design scheme.

[0039] In some specific implementations, based on the monitoring data of the sedimentation influencing factors, the key sedimentation influencing factors and the initial weights of the key sedimentation influencing factors are screened using the grey correlation weighted degree, specifically including:

[0040] Assume that the sedimentation sequence is

[0041]

[0042] The reference sequence of monitoring data of the corresponding sedimentation influencing factors is:

[0043]

[0044] The mutual information estimated based on entropy is:

[0045]

[0046] In the formula, is the information entropy of the sedimentation; is the information entropy of the parameter; is the joint entropy of the parameter and sedimentation series;

[0047] The weighted correlation is:

[0048]

[0049] Where: For the The weighted correlation of the impact factors, , 2, is the number of factors affecting settlement; is a moment in the time series; is the resolution coefficient; is the total number of time periods; For the Impact Factor k Comparative sequence data at each moment;

[0050] Based on the weighted correlation, key features are screened and key settlement influencing factors and initial weights of key settlement influencing factors are determined.

[0051] In some specific implementations, the dynamic weight of the key settlement influencing factor is determined based on the initial weight of the key settlement influencing factor and the basic weight of the key settlement influencing factor, and the settlement prediction value is obtained based on the dynamic weight of the key settlement influencing factor, specifically:

[0052]

[0053] Where: For the The basic weights of the key sedimentation influencing factors; For the The initial weights of the key settlement influencing factors; For the The basic weights of the key settlement influencing factors, including the influencing factors and frequency of foundation pit settlement deformation accidents, the percentage of each key settlement influencing factor, and the standard weights after normalization; is the number of key settlement influencing factors; is the serial number of the key settlement influencing factor (sorted in order of initial weight);

[0054]

[0055] Where: For the Key factors affecting settlement Dynamic weight after update; For the Key factors affecting settlement The entropy weight of the update; is the number of dynamic weight updates;

[0056] The calculation formula for the predicted settlement value is:

[0057]

[0058] Where: is the foundation pit settlement index; is the settlement value of each key settlement influencing factor.

[0059] In some specific implementations, existing foundation pits similar to the target roadbed are determined based on the engineering geological analogy method, and monitoring data of factors affecting the settlement of existing foundation pits are obtained, specifically: there are no less than 10 existing foundation pits, and no less than 3 of the existing foundation pits have experienced foundation pit settlement and deformation accidents.

[0060] The present application further provides an electronic device, including:

[0061] one or more processors;

[0062] a storage device for storing one or more programs,

[0063] When the one or more programs are executed by the one or more processors, the one or more processors implement any of the methods described.

[0064] The present application further provides a computer-readable medium having a computer program stored thereon, which implements any of the methods described above when the program is executed by a processor.

[0065] The survey method based on BIM integration provided in this application, by constructing a BIM visual settlement early warning monitoring platform, uses the grey correlation weighted degree to screen the key settlement influencing factors and the initial weights of the key settlement influencing factors, determines the dynamic weights of the key settlement influencing factors based on the initial weights of the key settlement influencing factors and the basic weights of the key settlement influencing factors, obtains the settlement prediction value based on the dynamic weights of the key settlement influencing factors, and integrates the settlement prediction value into the BIM visual settlement early warning monitoring platform to screen and determine the final construction design plan. Through this survey method integrated with BIM, the settlement prediction value of each key construction node can be determined in advance. If the settlement prediction value exceeds the safety threshold, the construction plan can be screened and the final construction design plan can be determined to ensure construction safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0067] Figure 1 A flowchart of a survey method based on BIM integration provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0069] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0070] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0071] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0072] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0073] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0074] Please refer to Figure 1 , which shows the process of an embodiment of the survey method based on BIM fusion according to the present disclosure. The survey method based on BIM fusion can be applied to the transmission system of an automobile, a hydraulic casting system, an industrial robot, a material transportation system, etc. Correspondingly, the corresponding method can also be called a transmission system working condition intelligent monitoring method, a hydraulic casting system working condition intelligent monitoring method, an industrial robot working condition intelligent monitoring method, and a material transportation system working condition intelligent monitoring method, but it is not limited.

[0075] like Figure 1 As shown, the survey method based on BIM fusion includes the following steps:

[0076] Step 100: Based on the target roadbed survey information and basic information, BIM modeling is performed on the target roadbed, and a BIM visualization settlement early warning monitoring platform is constructed.

[0077] Step 200: Determine an existing foundation pit similar to the target roadbed based on the engineering geological analogy method, and obtain monitoring data of factors affecting the settlement of the existing foundation pit.

[0078] Here, there are no less than 10 foundation pits, and no less than 3 of them have experienced foundation pit settlement and deformation accidents.

[0079] Step 300: Based on the monitoring data of settlement influencing factors, the key settlement influencing factors and the initial weights of the key settlement influencing factors are screened using the grey correlation weighting degree.

[0080] Here, specifically include:

[0081] Assume that the sedimentation sequence is

[0082]

[0083] The reference sequence of monitoring data of the corresponding sedimentation influencing factors is:

[0084]

[0085] The mutual information estimated based on entropy is:

[0086]

[0087] In the formula, is the information entropy of the sedimentation; is the information entropy of the parameter; is the joint entropy of the parameter and sedimentation series;

[0088] The weighted correlation is:

[0089]

[0090] Where: For the The weighted correlation of the impact factors, , 2, is the number of factors affecting settlement; is a moment in the time series; is the resolution coefficient; is the total number of time periods; For the Impact Factor k Comparative sequence data at each moment;

[0091] Based on the weighted correlation, key features are screened and key settlement influencing factors and initial weights of key settlement influencing factors are determined.

[0092] Step 400: Determine the key settlement influencing factors and frequencies of existing foundation pit settlement damage, and perform normalization processing to obtain the basic weights of the key settlement influencing factors.

[0093] Here, the influencing factors and frequency of foundation pit settlement and deformation accidents are statistically analyzed, as well as the percentage of each key settlement influencing factor, and the basic weights are obtained after normalization.

[0094] Step 500: Determine the dynamic weight of the key settlement influencing factor based on the initial weight of the key settlement influencing factor and the basic weight of the key settlement influencing factor, and obtain the settlement prediction value based on the dynamic weight of the key settlement influencing factor.

[0095] Here, the specific steps include:

[0096] Determine the basic weight of the key settlement influencing factors, and the calculation formula is:

[0097]

[0098] Where: For the The basic weights of the key sedimentation influencing factors; For the The initial weights of the key settlement influencing factors; For the The basic weights of the key settlement influencing factors are obtained by normalizing the influencing factors and frequency of foundation pit settlement deformation accidents and the percentage of each key settlement influencing factor. is the number of key settlement influencing factors; is the serial number of the key settlement influencing factor (sorted in order of initial weight);

[0099]

[0100] Where: For the Key factors affecting settlement Dynamic weight after update; For the Key factors affecting settlement The entropy weight of the update; is the number of dynamic weight updates;

[0101] The calculation formula for the predicted settlement value is:

[0102]

[0103] Where: is the foundation pit settlement index; is the settlement value of each key settlement influencing factor.

[0104] Step 600: Determine key settlement influencing factor data based on the construction design scheme to be screened, integrate the settlement prediction value into the BIM visual settlement early warning monitoring platform, and screen and determine the final construction design scheme.

[0105] The survey method based on BIM integration provided in this application, by constructing a BIM visual settlement early warning monitoring platform, uses the grey correlation weighted degree to screen the key settlement influencing factors and the initial weights of the key settlement influencing factors, determines the dynamic weights of the key settlement influencing factors based on the initial weights of the key settlement influencing factors and the basic weights of the key settlement influencing factors, obtains the settlement prediction value based on the dynamic weights of the key settlement influencing factors, and integrates the settlement prediction value into the BIM visual settlement early warning monitoring platform to screen and determine the final construction design plan. Through this survey method integrated with BIM, the settlement prediction value of each key construction node can be determined in advance. If the settlement prediction value exceeds the safety threshold, the construction plan can be screened and the final construction design plan can be determined to ensure construction safety.

[0106] Furthermore, as an implementation of the above method, the present disclosure provides a survey system based on BIM fusion, and the system embodiment is Figure 1 Corresponding to the method embodiment shown, the system can be specifically applied to various electronic devices.

[0107] The present application further provides a survey system based on BIM fusion, including a modeling unit, which is used to perform BIM modeling on the target roadbed based on the target roadbed survey information and basic information, and to build a BIM visualization settlement early warning monitoring platform; an acquisition unit, which is used to determine the existing foundation pit similar to the target roadbed based on the engineering geological analogy method, and to obtain the monitoring data of the settlement influencing factors of the existing foundation pit; an initial weight unit, which is used to screen the key settlement influencing factors and the initial weights of the key settlement influencing factors based on the settlement influencing factor monitoring data using the grey correlation weighting degree; a basic weight unit, which is used to Determine the key settlement influencing factors and frequencies of existing foundation pit settlement damage, and perform normalization processing to obtain the basic weights of key settlement influencing factors; a prediction unit is used to determine the dynamic weights of key settlement influencing factors based on the initial weights of key settlement influencing factors and the basic weights of key settlement influencing factors, and obtain settlement prediction values ​​based on the dynamic weights of key settlement influencing factors; a screening unit is used to determine the key settlement influencing factor data based on the construction design scheme to be screened, and integrate the settlement prediction values ​​into the BIM visualization settlement early warning monitoring platform to screen and determine the final construction design scheme.

[0108] The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc.

[0109] For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program codes for executing the method shown in the flowchart.

[0110] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0111] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0112] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A survey method based on BIM fusion, characterized in that: Based on the target roadbed survey information and basic information, BIM modeling is carried out on the target roadbed, and a BIM visual settlement early warning monitoring platform is constructed; Based on the engineering geological analogy method, determine the existing foundation pit similar to the target roadbed and obtain the monitoring data of the influencing factors of the existing foundation pit settlement; Based on the monitoring data of settlement influencing factors, the grey correlation weighted degree is used to screen the key settlement influencing factors and the initial weights of the key settlement influencing factors, including: Assume that the sedimentation sequence is The reference sequence of monitoring data of the corresponding sedimentation influencing factors is: The mutual information estimated based on entropy is: In the formula, is the information entropy of the sedimentation; is the information entropy of the parameter; is the joint entropy of the parameter and sedimentation series; The weighted correlation is: Where: For the The weighted correlation of the impact factors, , 2, is the number of factors affecting settlement; is a moment in the time series; is the resolution coefficient; is the total number of time periods; For the Impact Factor k Comparative sequence data at each moment; Based on the weighted correlation, key features are screened and key sedimentation influencing factors and initial weights of key sedimentation influencing factors are determined; Determine the key settlement influencing factors and frequencies of existing foundation pit settlement damage, and perform normalization processing to obtain the basic weights of key settlement influencing factors; The dynamic weight of the key settlement influencing factor is determined based on the initial weight of the key settlement influencing factor and the basic weight of the key settlement influencing factor, and the settlement prediction value is obtained based on the dynamic weight of the key settlement influencing factor, wherein specifically: Where: For the Standard weights of key settlement influencing factors; For the The initial weights of the key settlement influencing factors; For the The basic weights of the key settlement influencing factors are obtained by normalizing the influencing factors and frequency of foundation pit settlement deformation accidents and the percentage of each key settlement influencing factor. is the number of key settlement influencing factors; is the serial number of the key settlement influencing factor; Where: For the Key factors affecting settlement Dynamic weight after update; For the Key factors affecting settlement The entropy weight of the update; is the number of dynamic weight updates; The calculation formula for the predicted settlement value is: Where: is the foundation pit settlement index; is the settlement value of each key settlement influencing factor; Based on the construction design scheme to be screened, the key settlement influencing factor data are determined, and the settlement prediction value is integrated into the BIM visual settlement early warning monitoring platform to screen and determine the final construction design scheme.

2. The survey method based on BIM fusion according to claim 1, characterized in that: Based on the engineering geological analogy method, existing foundation pits similar to the target roadbed are determined, and monitoring data of factors affecting the settlement of existing foundation pits are obtained. Specifically, there are no less than 10 existing foundation pits, and no less than 3 of the existing foundation pits have experienced foundation pit settlement and deformation accidents.

3. The survey system based on BIM integration is characterized by: include Modeling unit, used to perform BIM modeling of the target roadbed based on the target roadbed survey information and basic information, and to build a BIM visual settlement early warning monitoring platform; An acquisition unit is used to determine an existing foundation pit similar to the target roadbed based on an engineering geological analogy method, and to acquire monitoring data of factors affecting the settlement of the existing foundation pit; The initial weight unit is used to screen the key settlement influencing factors and the initial weights of the key settlement influencing factors based on the settlement influencing factor monitoring data using the grey correlation weighted degree, which specifically includes: Assume that the sedimentation sequence is The reference sequence of monitoring data of the corresponding sedimentation influencing factors is: The mutual information estimated based on entropy is: In the formula, is the information entropy of the sedimentation; is the information entropy of the parameter; is the joint entropy of the parameter and sedimentation series; The weighted correlation is: Where: For the The weighted correlation of the impact factors, , 2, is the number of factors affecting settlement; is a moment in the time series; is the resolution coefficient; is the total number of time periods; For the Impact Factor k Comparative sequence data at each moment; Based on the weighted correlation, key features are screened and key sedimentation influencing factors and initial weights of key sedimentation influencing factors are determined; The basic weight unit is used to determine the key settlement influencing factors and frequencies of existing foundation pit settlement damage, and perform normalization processing to obtain the basic weights of key settlement influencing factors; The prediction unit is used to determine the dynamic weight of the key settlement influencing factor based on the initial weight of the key settlement influencing factor and the basic weight of the key settlement influencing factor, and obtain the settlement prediction value based on the dynamic weight of the key settlement influencing factor, wherein specifically: Where: For the Standard weights of key settlement influencing factors; For the The initial weights of the key settlement influencing factors; For the The basic weights of the key settlement influencing factors are obtained by normalizing the influencing factors and frequency of foundation pit settlement deformation accidents and the percentage of each key settlement influencing factor. is the number of key settlement influencing factors; is the serial number of the key settlement influencing factor; Where: For the Key factors affecting settlement Dynamic weight after update; For the Key factors affecting settlement The entropy weight of the update; is the number of dynamic weight updates; The calculation formula for the predicted settlement value is: Where: is the foundation pit settlement index; is the settlement value of each key settlement influencing factor; The screening unit is used to determine the key settlement influencing factor data based on the construction design scheme to be screened, and integrate the settlement prediction value into the BIM visual settlement early warning monitoring platform to screen and determine the final construction design scheme.

4. The survey system based on BIM fusion according to claim 3, characterized in that: Based on the engineering geological analogy method, existing foundation pits similar to the target roadbed are determined, and monitoring data of factors affecting the settlement of existing foundation pits are obtained. Specifically, there are no less than 10 existing foundation pits, and no less than 3 of the existing foundation pits have experienced foundation pit settlement and deformation accidents.

5. An electronic device, characterized in that include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1-2.

6. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 2 is implemented.

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