BIM-based bridge construction quality monitoring method, system, and medium

Abstract

The application provides a BIM-based bridge construction quality monitoring method, system and medium, belonging to the field of bridge engineering and big data technology. The method comprises: obtaining bridge construction information, extracting bridge machine parameter information, bridge segment composition design information and construction material basic information, and performing bridge simulation construction to obtain bridge construction monitoring information; then extracting bridge machine performance parameter information, bridge structure feature information and raw material strength information, respectively processing and obtaining bridge machine performance index, bridge construction conflict index and raw material strength index; then processing to obtain bridge construction quality index and comparing with a preset quality index to determine whether the bridge manufacturing quality index meets the requirements. The application comprehensively collects, processes and analyzes various information in the bridge construction process to realize comprehensive monitoring and evaluation of the bridge construction quality. This is of great significance to improving the construction quality and safety of bridges.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of bridge engineering and big data technology, in particular to a bridge construction quality monitoring method, system and medium based on BIM. BACKGROUND

[0002] With the continuous development of bridge construction, the traditional bridge construction quality monitoring method requires a large amount of manpower and material resources, especially in large bridge projects, the inspection work is tedious and time-consuming. The monitoring results may be affected by the experience and judgment of the inspectors, and there is a certain subjectivity, which may lead to misjudgment or omission of quality problems. Due to the complexity of the bridge structure, the traditional method may have inspection blind spots and it is difficult to fully cover all potential quality problems, thereby increasing the risk of bridge operation. The in-situ monitoring means can only be used to monitor the local deformation and relative deformation of the bridge, and it is insufficient for the overall deformation monitoring of the bridge. There is a lack of an automatic and comprehensive monitoring technology for bridge construction quality.

[0003] In view of the above problems, an effective technical solution is currently needed. SUMMARY

[0004] The purpose of the present application is to provide a bridge construction quality monitoring method, system and medium based on BIM, which can obtain bridge construction information, extract bridge construction machine parameter information, bridge segment composition design information and construction material basic information, and perform bridge simulation construction, obtain bridge construction monitoring information, extract bridge construction machine performance parameter information, bridge structure feature information and raw material strength information, process and obtain bridge construction machine performance index, bridge construction conflict index and raw material strength index, and then process to obtain bridge construction quality index and compare with the preset quality index to determine whether the bridge manufacturing quality index meets the requirements. The present application comprehensively collects, processes and analyzes various information in the bridge construction process to realize comprehensive monitoring and evaluation of the bridge construction quality. This is of great significance to improve the construction quality and safety of the bridge.

[0005] The present application provides a bridge construction quality monitoring method based on BIM, comprising the following steps:

[0006] Obtain the bridge construction information of the preset bridge segment in the preset time period, extract the bridge construction machine parameter information, the bridge segment composition design information and the construction material basic information, and perform bridge simulation construction through the preset BIM model to obtain bridge construction monitoring information;

[0007] According to the bridge construction monitoring information, extract the bridge construction machine performance parameter information, the bridge structure feature information and the raw material strength information;

[0008] According to the bridge machine performance parameter information, a bridge machine performance index is obtained by processing through a preset bridge machine performance model.

[0009] According to the bridge structure feature information, a bridge construction conflict index is obtained by processing through a preset bridge profile analysis model.

[0010] According to the raw material strength information, a raw material strength index is obtained by processing through a preset raw material strength model.

[0011] According to the bridge machine performance index, the bridge construction conflict index and the raw material strength index, a bridge construction quality index is obtained by processing, and compared with a preset quality index to determine whether the bridge construction quality index meets the requirements.

[0012] In the BIM-based bridge construction quality monitoring method, the bridge construction information of the preset bridge section in the preset time period is obtained, the bridge machine parameter information, the bridge section composition design information and the construction material basic information are extracted, and the bridge simulation construction is performed through the preset BIM model to obtain the bridge construction monitoring information.

[0013] The bridge construction information of the preset bridge section in the preset time period is obtained, the bridge machine parameter information, the bridge section composition design information and the construction material basic information are extracted;

[0014] The bridge machine parameter information includes bridge machine model information, running state information and maintenance record information.

[0015] The bridge section composition design information includes main beam structure information, pier bearing information and support specification information.

[0016] The construction material basic information includes material type information and material property information.

[0017] According to the bridge machine parameter information, the bridge section composition design information and the construction material basic information, the bridge simulation construction is performed through the preset BIM model to obtain the bridge construction monitoring information.

[0018] In the BIM-based bridge construction quality monitoring method, the bridge machine performance index is obtained by processing according to the bridge machine performance parameter information through the preset bridge machine performance model.

[0019] According to the bridge machine performance parameter information, overload stability data, wind resistance data and lifting speed data are extracted.

[0020] According to the overload stability data, the wind resistance data and the lifting speed data, the bridge machine performance index is obtained by processing through the preset bridge machine performance model.

[0021] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0022] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0023] According to the bridge layout consistency data, main component fitting degree data and construction applicability data, a bridge construction conflict index is obtained by processing through a preset bridge analysis model.

[0024] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0025] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0026] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0027] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0028] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0029] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0030] According to the bridge structure characteristic information, bridge layout consistency data, main component fitting degree data and construction applicability data are extracted;

[0031] If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, a quality inspection unqualified information is sent;

[0032] If the quality index deviation rate is less than the quality index deviation rate threshold, a quality inspection qualified information is sent.

[0033] In a second aspect, the application provides a BIM-based bridge construction quality monitoring system, comprising: a memory and a processor, the memory comprising a BIM-based bridge construction quality monitoring method program, the BIM-based bridge construction quality monitoring method program being executed by the processor to implement the following steps:

[0034] Bridge construction information of a preset bridge section in a preset time period is obtained, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted, and bridge simulation construction is performed through a preset BIM model to obtain bridge construction monitoring information;

[0035] Bridge machine performance parameter information, bridge structure feature information and raw material strength information are extracted according to the bridge construction monitoring information;

[0036] A bridge machine performance index is obtained by processing the bridge machine performance parameter information through a preset bridge machine performance model;

[0037] A bridge construction conflict index is obtained by processing the bridge structure feature information through a preset bridge profile analysis model;

[0038] A raw material strength index is obtained by processing the raw material strength information through a preset raw material strength model;

[0039] A bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and is compared with a preset quality index to determine whether the bridge construction quality index meets the requirements.

[0040] In the BIM-based bridge construction quality monitoring system described in the application, the bridge construction information of the preset bridge section in the preset time period is obtained, the bridge machine parameter information, the bridge section composition design information and the construction material basic information are extracted, and the bridge simulation construction is performed through the preset BIM model to obtain the bridge construction monitoring information, specifically:

[0041] Bridge construction information of a preset bridge section in a preset time period is obtained, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted;

[0042] The bridge machine parameter information comprises bridge machine model information, running state information and maintenance record information;

[0043] The bridge section composition design information comprises main beam structure information, pier bearing information and support specification information;

[0044] The construction material basic information comprises material type information and material property information;

[0045] Bridge simulation construction is performed on the BIM model according to the bridge machine parameter information, the bridge segment composition design information and the construction material basis information, and bridge construction monitoring information is obtained.

[0046] In the BIM-based bridge construction quality monitoring system, the bridge machine performance index is obtained by processing the bridge machine performance parameter information through the preset bridge machine performance model, and specifically,

[0047] The overload stability data, wind resistance data and lifting speed data are extracted according to the bridge machine performance parameter information;

[0048] The bridge machine performance index is obtained by processing the overload stability data, wind resistance data and lifting speed data through the preset bridge machine performance model.

[0049] In a third aspect, the present application also provides a computer readable storage medium, wherein the computer readable storage medium comprises a BIM-based bridge construction quality monitoring method program, and when the BIM-based bridge construction quality monitoring method program is executed by a processor, the steps of the BIM-based bridge construction quality monitoring method according to any one of the above embodiments are implemented.

[0050] As can be seen from the above, the BIM-based bridge construction quality monitoring method, system and medium provided by the embodiments of the present application can obtain bridge construction information of a preset bridge segment in a preset time period, extract bridge machine parameter information, bridge segment composition design information and construction material basis information, and perform bridge simulation construction through a preset BIM model to obtain bridge construction monitoring information. Then, bridge machine performance parameter information, bridge structure feature information and raw material strength information are extracted, and a bridge machine performance index, a bridge construction conflict index and a raw material strength index are obtained by processing the information through a bridge machine performance model, a bridge analysis model and a raw material strength model, respectively. The bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index through a bridge quality inspection model, and compared with a preset quality index to determine whether the bridge construction quality index meets the requirements. The embodiments of the present application utilize the preset BIM model to perform bridge simulation construction, which can accurately reflect the actual construction process and state of the bridge and provide a reliable basis for subsequent quality evaluation. The automatic and intelligent processing of information greatly improves the processing efficiency and accuracy, and the bridge construction quality in various aspects can be intuitively understood, which provides strong support for decision-making.

[0051] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structure particularly pointed out in the written description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0053] Figure 1 The flowchart of the bridge construction quality monitoring method based on BIM provided by the embodiments of the present application;

[0054] Figure 2 The flowchart of obtaining bridge construction monitoring information of the bridge construction quality monitoring method based on BIM provided by the embodiments of the present application;

[0055] Figure 3 The flowchart of obtaining bridge construction monitoring information of the bridge construction quality monitoring method based on BIM provided by the embodiments of the present application;

[0056] Figure 4 The flowchart of obtaining bridge construction monitoring information of the bridge construction quality monitoring method based on BIM provided by the embodiments of the present application;

[0057] Figure 5 The flowchart of obtaining bridge construction monitoring information of the bridge construction quality monitoring method based on BIM provided by the embodiments of the present application. DETAILED DESCRIPTION

[0058] The technical solutions of the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of the present application.

[0059] It should be noted that similar reference numbers and letters refer to like items in the accompanying drawings, and thus once an item is defined in one drawing, it need not be further defined and explained in subsequent drawings. Also, in the description of the present application, the terms "first", "second", and the like are used only to distinguish descriptions, and cannot be understood as indicating or implying relative importance. It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0060] Please refer to Figure 1 , Figure 1 is a flowchart of a BIM-based bridge construction quality monitoring method in some embodiments of the present application. The BIM-based bridge construction quality monitoring method is used in a terminal device, such as a computer, a mobile phone terminal, etc. The BIM-based bridge construction quality monitoring method includes the following steps:

[0061] S101, obtaining bridge construction information of a preset bridge section in a preset time period, extracting bridge machine parameter information, bridge section composition design information and construction material basic information, and performing bridge simulation construction through a preset BIM model to obtain bridge construction monitoring information;

[0062] S102, extracting bridge machine performance parameter information, bridge structure feature information and raw material strength information according to the bridge construction monitoring information;

[0063] S103, processing through a preset bridge machine performance model according to the bridge machine performance parameter information to obtain a bridge machine performance index;

[0064] S104, processing through a preset bridge profile analysis model according to the bridge structure feature information to obtain a bridge construction conflict index;

[0065] S105, processing through a preset raw material strength model according to the raw material strength information to obtain a raw material strength index;

[0066] S106, processing according to the bridge machine performance index, the bridge construction conflict index and the raw material strength index to obtain a bridge construction quality index and comparing the bridge construction quality index with a preset quality index to determine whether the bridge construction quality index meets the requirements.

[0067] Wherein, the application obtains bridge construction monitoring information by acquiring bridge construction information of a preset bridge section in a preset time period, extracting bridge machine parameter information, bridge section composition design information and construction material basic information and performing bridge simulation construction through a preset BIM model, obtaining bridge construction monitoring information, then extracting bridge machine performance parameter information, bridge structure feature information and raw material strength information, processing through a bridge machine performance model, a bridge analysis model and a raw material strength model respectively and obtaining a bridge machine performance index, a bridge construction conflict index and a raw material strength index, processing through a bridge quality inspection model according to the bridge machine performance index, the bridge construction conflict index and the raw material strength index, obtaining a bridge construction quality index and comparing with a preset quality index to determine whether the bridge construction quality index meets the requirements. The application uses a preset BIM model to perform bridge simulation construction, which can accurately reflect the actual construction process and state of the bridge and provide a reliable basis for subsequent quality evaluation, realizes automation and intelligentization through information automatic processing, greatly improves processing efficiency and accuracy, and can intuitively understand various aspects of bridge construction quality, providing strong support for decision-making.

[0068] Please refer to Figure 2 , Figure 2 is a flowchart of obtaining bridge construction monitoring information in a BIM-based bridge construction quality monitoring method in some embodiments of the application. According to the embodiment of the application, the bridge construction information of a preset bridge section in a preset time period is acquired, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted, and bridge simulation construction is performed through a preset BIM model to obtain bridge construction monitoring information, specifically:

[0069] S201, acquiring bridge construction information of a preset bridge section in a preset time period, extracting bridge machine parameter information, bridge section composition design information and construction material basic information;

[0070] S202, the bridge machine parameter information includes bridge machine model information, running state information and maintenance record information;

[0071] S203, the bridge section composition design information includes main beam structure information, pier bearing information and support specification information;

[0072] S204, the construction material basic information includes material type information and material property information;

[0073] S205, according to the bridge machine parameter information, the bridge section composition design information and the construction material basic information, the bridge simulation construction is performed through the preset BIM model to obtain the bridge construction monitoring information.

[0074] The bridge construction information of the bridge section in the preset time period is obtained, the bridge construction machine parameter information, the bridge section composition design information and the construction material basic information are extracted, the bridge construction machine parameter information includes the bridge construction machine model information, the running state information, the maintenance record information, the bridge section composition design information includes the main beam structure information, the bridge pier bearing information and the support specification information, and the construction material basic information includes the material type information and the material property information. The bridge simulation construction is performed through the preset BIM model according to the bridge construction machine parameter information, the bridge section composition design information and the construction material basic information, and the bridge construction monitoring information is obtained. The BIM model is dependent through a third-party platform, and the simulation of the bridge construction can be realized.

[0075] Please refer to Figure 3 , Figure 3 is a flowchart for obtaining a bridge construction machine performance index in a BIM-based bridge construction quality monitoring method in some embodiments of the present application. According to the embodiment of the present application, the bridge construction machine performance index is obtained by processing the bridge construction machine performance parameter information through a preset bridge construction machine performance model, specifically as follows:

[0076] S301, extracting overload stability data, wind resistance data and lifting speed data according to the bridge construction machine performance parameter information;

[0077] S302, obtaining the bridge construction machine performance index by processing the overload stability data, the wind resistance data and the lifting speed data through the preset bridge construction machine performance model.

[0078] Wherein, in order to evaluate the performance of the bridge machine and obtain the performance index of the bridge machine, the overload stability data, the wind resistance data and the lifting speed data are extracted according to the performance parameter information of the bridge machine. The overload stability data includes the ability index of the bridge machine to maintain a stable state under certain overload conditions, such as the maximum overload ratio, the stability coefficient when overloaded, etc. The wind resistance data includes the ability of the bridge machine to maintain normal working state under different wind speeds, such as the maximum working wind speed, wind pressure strength, wind load stability, etc. The lifting speed data includes the maximum lifting speed, the average lifting speed, the lifting acceleration, etc., which reflect the efficiency and ability of the bridge machine in hoisting operation. Then the preset bridge machine performance model is processed to obtain the performance index of the bridge machine.

[0079] The calculation formula of the bridge machine performance model is:

[0080]

[0081] Wherein, is the performance index of the bridge machine, is the overload stability data, the wind resistance data and the lifting speed data, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset bridge machine maintenance database).

[0082] Please refer to Figure 4 , Figure 4 is the flowchart of obtaining the bridge construction conflict index in the BIM-based bridge construction quality monitoring method in some embodiments of the present application. According to the embodiment of the present application, the bridge construction conflict index is obtained by processing the bridge structure feature information through the preset bridge analysis model, specifically:

[0083] S401, extracting bridge layout consistency data, main component fit degree data and construction applicability data according to the bridge structure feature information;

[0084] S402, obtaining the bridge construction conflict index by processing the bridge layout consistency data, the main component fit degree data and the construction applicability data through the preset bridge analysis model.

[0085] Wherein, in order to obtain the bridge construction conflict index, the bridge layout consistency data, the main component fit degree data and the construction applicability data are extracted according to the bridge structure characteristic information. The bridge layout consistency data refers to whether the overall layout of the bridge is consistent with the original design, functional requirements and surrounding environment; the main component fit degree data refers to the connection, cooperation and overall coordination between the main components of the bridge; the construction applicability data refers to whether the bridge construction scheme conforms to the actual construction conditions, including geological, climate, construction period and other factors. Then, the bridge construction conflict index is obtained by processing through the preset bridge analysis model. The higher the conflict index is, the more conflicts and problems the bridge may encounter in the construction process, and more attention and solutions are needed.

[0086] The calculation formula of the bridge analysis model is:

[0087]

[0088] Wherein, is the bridge construction conflict index, are the bridge layout consistency data, the main component fit degree data and the construction applicability data, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset design construction database).

[0089] Please refer to Figure 5 , Figure 5 is the process diagram for obtaining the raw material strength index in the BIM-based bridge construction quality monitoring method in some embodiments of the present application. According to the embodiment of the present application, the raw material strength index is obtained by processing through the preset raw material strength model according to the raw material strength information, specifically:

[0090] S501, extracting physical property characteristic data, chemical composition stability data and force resistance data according to the raw material strength information;

[0091] S502, processing through the preset raw material strength model according to the physical property characteristic data, the chemical composition stability data and the force resistance data to obtain the raw material strength index.

[0092] Wherein, in order to obtain the raw material strength index, the physical property characteristic data, the chemical composition stability data and the force tolerance data are extracted according to the raw material strength information. The physical property characteristic data includes the density, hardness, toughness, elastic modulus and other physical parameters of the raw material, which reflect the physical response characteristics of the raw material under the action of external force; the chemical composition stability data relates to the proportion, stability and interaction of various chemical components in the raw material, and the stable chemical composition means that the raw material is not easy to react or degrade during processing and use; the force tolerance data reflects the tolerance of the raw material under various types of action force (such as tension, compression, shear, etc.). Then the preset raw material strength model is processed to obtain the raw material strength index, and the higher the raw material strength index, the better the performance and stability of the raw material during processing and use.

[0093] The calculation formula of the raw material strength model is:

[0094]

[0095] Wherein, is the raw material strength index, physical property characteristic data, chemical composition stability data and force tolerance data, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset raw material detection database).

[0096] According to the embodiment of the application, the bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and compared with the preset quality index to determine whether the bridge manufacturing quality index meets the requirements, specifically:

[0097] The bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index through the bridge quality inspection model;

[0098] The quality index deviation rate is obtained by comparing the bridge construction quality index with the preset quality index;

[0099] The quality index deviation rate is compared with the preset quality index deviation rate threshold;

[0100] If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, the quality inspection unqualified information is sent;

[0101] If the quality index deviation rate is less than the quality index deviation rate threshold, the quality inspection qualified information is sent.

[0102] In order to obtain the bridge construction quality index and determine whether the requirements are met, the bridge construction quality index is obtained by processing through the bridge quality inspection model according to the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and the index comprehensively reflects the overall quality level of the bridge in the construction process. Then, the quality index deviation rate is obtained by comparing with the preset quality index, and the quality index deviation rate is compared with the preset quality index deviation rate threshold. If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, it means that the actual construction quality is lower than the expected level, and the unqualified information of quality inspection needs to be sent, and further measures may be taken to improve the construction process. If the quality index deviation rate is less than the quality index deviation rate threshold, it means that the actual construction quality meets or exceeds the expected level, and the qualified information of quality inspection can be sent, and the subsequent bridge construction or delivery for use can be continued.

[0103] The calculation formula of the bridge quality inspection model is:

[0104]

[0105] Among them, is the bridge construction quality index, respectively, the bridge machine performance index, the bridge construction conflict index and the raw material strength index, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset bridge quality inspection database).

[0106] According to the embodiment of the application, further comprising:

[0107] Obtain the construction period data of a plurality of bridge sections in the preset time period;

[0108] According to the construction period data of the plurality of bridge sections, the construction average period data is obtained by calculation and processing;

[0109] According to the construction average period data and the preset period threshold, the period deviation rate is obtained;

[0110] According to the period deviation rate and the preset period deviation rate threshold;

[0111] If the period deviation rate is greater than or equal to the period deviation rate threshold, the period exceeds the information is sent;

[0112] If the period deviation rate is less than the period deviation rate threshold, the period normal information is sent.

[0113] Wherein, in order to ensure that the overall project cycle meets the requirements, the construction cycle data of multiple bridge sections in the preset time period are obtained and processed to obtain the average construction cycle data, which is compared with the preset cycle threshold to obtain the cycle deviation rate, which is compared with the preset cycle deviation rate threshold, if the cycle deviation rate is greater than or equal to the cycle deviation rate threshold, it means that the actual construction cycle exceeds the expected level, there may be progress delay or low efficiency problem, the cycle exceeds the standard information needs to be sent, and further measures may be taken to speed up the progress or improve the efficiency; if the cycle deviation rate is less than the cycle deviation rate threshold, it means that the actual construction cycle is within the expected range, the construction efficiency is normal, the cycle normal information can be sent, and the subsequent work can continue according to the plan.

[0114] The application also discloses a bridge construction quality monitoring system based on BIM, comprising a memory and a processor, wherein the memory comprises a BIM-based bridge construction quality monitoring method program, and the BIM-based bridge construction quality monitoring method program is executed by the processor to realize the following steps:

[0115] Bridge construction information of a preset bridge section in a preset time period is obtained, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted, and bridge simulation construction is carried out through a preset BIM model to obtain bridge construction monitoring information;

[0116] Bridge machine performance parameter information, bridge structure feature information and raw material strength information are extracted according to the bridge construction monitoring information;

[0117] Bridge machine performance index is obtained by processing the bridge machine performance parameter information through a preset bridge machine performance model;

[0118] Bridge construction conflict index is obtained by processing the bridge structure feature information through a preset bridge profile analysis model;

[0119] Raw material strength index is obtained by processing the raw material strength information through a preset raw material strength model;

[0120] Bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and the bridge construction quality index is compared with a preset quality index to determine whether the bridge construction quality index meets the requirements.

[0121] The bridge construction information of the preset bridge section in the preset time period is acquired, the bridge machine parameter information, the bridge section composition design information and the construction material basic information are extracted, the bridge is simulated and constructed through the preset BIM model, the bridge construction monitoring information is acquired, the bridge machine performance parameter information, the bridge structure feature information and the raw material strength information are extracted, the bridge machine performance index, the bridge construction conflict index and the raw material strength index are acquired through the bridge machine performance model, the bridge profile analysis model and the raw material strength model respectively, the bridge construction quality index is acquired through the bridge quality inspection model according to the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and compared with the preset quality index, and whether the bridge manufacturing quality index meets the requirements is judged. The preset BIM model is used for simulating and constructing the bridge, the actual construction process and state of the bridge can be accurately reflected, a reliable basis is provided for subsequent quality evaluation, automatic and intelligent are realized through automatic information processing, the processing efficiency and accuracy are greatly improved, and each aspect of the bridge construction quality can be intuitively understood, thereby providing strong support for decision-making.

[0122] According to the embodiment of the application, the bridge construction information of the preset bridge section in the preset time period is acquired, the bridge machine parameter information, the bridge section composition design information and the construction material basic information are extracted, and the bridge is simulated and constructed through the preset BIM model to acquire the bridge construction monitoring information, specifically:

[0123] The bridge construction information of the preset bridge section in the preset time period is acquired, the bridge machine parameter information, the bridge section composition design information and the construction material basic information are extracted;

[0124] The bridge machine parameter information includes bridge machine model information, running state information and maintenance record information;

[0125] The bridge section composition design information includes main beam structure information, bridge pier bearing information and support specification information;

[0126] The construction material basic information includes material type information and material characteristic information;

[0127] The bridge is simulated and constructed through the preset BIM model according to the bridge machine parameter information, the bridge section composition design information and the construction material basic information to acquire the bridge construction monitoring information.

[0128] The bridge construction information of the bridge section in a preset time period is acquired, the bridge machine parameter information, the bridge section composition design information and the construction material basic information are extracted, the bridge machine parameter information includes bridge machine model information, running state information, bridge section composition design information includes main beam structure information, bridge pier bearing information and support specification information, and the construction material basic information includes material type information and material property information, the bridge is simulated and constructed through a preset BIM model according to the bridge machine parameter information, the bridge section composition design information and the construction material basic information, and the bridge construction monitoring information is acquired, and the BIM model is dependent on a third-party platform, and the simulation of the bridge construction can be realized.

[0129] According to the embodiment of the application, the bridge machine performance index is obtained by processing the bridge machine performance parameter information through a preset bridge machine performance model, and specifically,

[0130] The overload stability data, the wind resistance data and the lifting speed data are extracted according to the bridge machine performance parameter information.

[0131] The bridge machine performance index is obtained by processing the overload stability data, the wind resistance data and the lifting speed data through a preset bridge machine performance model.

[0132] The overload stability data, the wind resistance data and the lifting speed data are extracted according to the bridge machine performance parameter information. The overload stability data includes the ability index of the bridge machine to maintain a stable state under a specific overload condition, such as the maximum overload ratio and the stability coefficient when overloaded, the wind resistance data includes the ability of the bridge machine to maintain a normal working state under different wind speeds, such as the maximum working wind speed, the wind pressure strength and the wind load stability, and the lifting speed data includes the maximum lifting speed, the average lifting speed and the lifting acceleration, which reflect the efficiency and ability of the bridge machine in the lifting operation. The bridge machine performance index is obtained by processing the overload stability data, the wind resistance data and the lifting speed data through a preset bridge machine performance model.

[0133] The calculation formula of the bridge machine performance model is as follows:

[0134]

[0135] wherein, is a bridge machine performance index, are respectively overload stability data, wind resistance data and lifting speed data, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset bridge machine maintenance database).

[0136] According to the embodiment of the present application, the bridge construction conflict index is obtained by processing the bridge structure characteristic information through a preset bridge analysis model, specifically:

[0137] Bridge layout consistency data, main component fit degree data and construction applicability data are extracted according to the bridge structure characteristic information;

[0138] The bridge construction conflict index is obtained by processing the bridge layout consistency data, main component fit degree data and construction applicability data through a preset bridge analysis model.

[0139] In order to obtain the bridge construction conflict index, bridge layout consistency data, main component fit degree data and construction applicability data are extracted according to the bridge structure characteristic information. The bridge layout consistency data refers to whether the overall layout of the bridge is consistent with the original design, functional requirements and surrounding environment; the main component fit degree data refers to the connection, cooperation and overall coordination between the main components of the bridge; and the construction applicability data refers to whether the bridge construction scheme conforms to the actual construction conditions, including geological, climatic, construction period and other factors. Then, the bridge construction conflict index is obtained by processing through a preset bridge analysis model. The higher the conflict index is, the more conflicts and problems the bridge may encounter in the construction process, and more attention and solutions are needed;

[0140] The calculation formula of the bridge analysis model is:

[0141]

[0142] wherein, is a bridge construction conflict index, are respectively bridge layout consistency data, main component fit degree data and construction applicability data, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset design and construction database).

[0143] According to the embodiment of the present application, the raw material strength index is obtained by processing the raw material strength information through a preset raw material strength model, specifically:

[0144] According to the raw material strength information, physical property characteristic data, chemical composition stability data and force resistance data are extracted;

[0145] According to the physical property characteristic data, chemical composition stability data and force resistance data, a preset raw material strength model is processed to obtain a raw material strength index.

[0146] In order to obtain the raw material strength index, according to the raw material strength information, the physical property characteristic data, the chemical composition stability data and the force resistance data are extracted. The physical property characteristic data includes the density, hardness, toughness, elastic modulus and other physical parameters of the raw material, which reflect the physical response characteristics of the raw material under the action of external force; the chemical composition stability data relates to the proportion, stability and interaction of various chemical components in the raw material, and the stable chemical composition means that the raw material is not easy to react or degrade during processing and use; the force resistance data reflects the resistance of the raw material to various types of force (such as tension, compression, shear, etc.). Then, through the preset raw material strength model, the raw material strength index is obtained, and the higher the raw material strength index, the better the performance and stability of the raw material during processing and use;

[0147] The calculation formula of the raw material strength model is:

[0148]

[0149] Among them, is the raw material strength index, are the physical property characteristic data, the chemical composition stability data and the force resistance data, respectively, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset raw material detection database).

[0150] According to the embodiment of the present application, according to the bridge building machine performance index, the bridge building conflict index and the raw material strength index, the bridge building quality index is obtained by processing, and compared with the preset quality index, whether the bridge building quality index meets the requirements is judged, and specifically:

[0151] According to the bridge building machine performance index, the bridge building conflict index and the raw material strength index, the bridge building quality index is obtained by processing through a bridge quality inspection model;

[0152] According to the bridge building quality index and the preset quality index, the quality index deviation rate is obtained;

[0153] According to the quality index deviation rate and the preset quality index deviation rate threshold, the quality index deviation rate is obtained;

[0154] If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, quality inspection unqualified information is sent;

[0155] If the quality index deviation rate is less than the quality index deviation rate threshold, quality inspection qualified information is sent.

[0156] In order to obtain the bridge construction quality index and determine whether the requirement is met, the bridge construction quality index is obtained by processing through the bridge quality inspection model according to the bridge machine performance index, the bridge construction conflict index and the raw material strength index, which comprehensively reflects the overall quality level of the bridge in the construction process. Then, the quality index deviation rate is obtained by comparing with the preset quality index. According to the comparison between the quality index deviation rate and the preset quality index deviation rate threshold, if the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, it means that the actual construction quality is lower than the expected level, and quality inspection unqualified information needs to be sent, and further measures may be taken to improve the construction process. If the quality index deviation rate is less than the quality index deviation rate threshold, it means that the actual construction quality meets or exceeds the expected level, and quality inspection qualified information can be sent, and the subsequent bridge construction or delivery for use can be continued;

[0157] The calculation formula of the bridge quality inspection model is:

[0158]

[0159] Wherein, is the bridge construction quality index, are the bridge machine performance index, the bridge construction conflict index and the raw material strength index, respectively, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset bridge quality inspection database).

[0160] According to the embodiment of the application, further comprising:

[0161] Obtaining construction period data of a plurality of bridge sections in the preset time period;

[0162] According to the construction period data of the plurality of bridge sections, calculation processing is performed to obtain construction average period data;

[0163] According to the comparison between the construction average period data and the preset period threshold, a period deviation rate is obtained;

[0164] According to the comparison between the period deviation rate and the preset period deviation rate threshold;

[0165] If the period deviation rate is greater than or equal to the period deviation rate threshold, period exceeding information is sent;

[0166] If the period deviation rate is less than the period deviation rate threshold, period normal information is sent.

[0167] In order to ensure that the overall project cycle meets the requirements, the construction cycle data of the plurality of bridge sections in the preset time period is obtained and processed to obtain the average construction cycle data, which is compared with the preset cycle threshold to obtain the cycle deviation rate, which is compared with the preset cycle deviation rate threshold, if the cycle deviation rate is greater than or equal to the cycle deviation rate threshold, it means that the actual construction cycle exceeds the expected level, there may be progress delay or low efficiency problem, the cycle exceeds the standard information needs to be sent, and further measures may be taken to speed up the progress or improve the efficiency, if the cycle deviation rate is less than the cycle deviation rate threshold, it means that the actual construction cycle is within the expected range, the construction efficiency is normal, the cycle normal information can be sent, and the subsequent work can be continued according to the plan.

[0168] The third aspect of the application provides a computer readable storage medium, the computer readable storage medium comprises a BIM-based bridge construction quality monitoring method program, when the BIM-based bridge construction quality monitoring method program is executed by a processor, the steps of the BIM-based bridge construction quality monitoring method according to any one of the above are realized.

[0169] The BIM-based bridge construction quality monitoring method, system and medium disclosed by the application obtain bridge construction information of a preset bridge section in a preset time period, extract bridge machine parameter information, bridge section composition design information and construction material basic information, and perform bridge simulation construction through a preset BIM model to obtain bridge construction monitoring information, then extract bridge machine performance parameter information, bridge structure feature information and raw material strength information, process the information through a bridge machine performance model, a bridge profile analysis model and a raw material strength model respectively to obtain a bridge machine performance index, a bridge construction conflict index and a raw material strength index, process the indexes through a bridge quality inspection model to obtain a bridge construction quality index, and compare the index with a preset quality index to determine whether the bridge construction quality index meets the requirements. The application utilizes the preset BIM model to perform bridge simulation construction, which can accurately reflect the actual construction process and state of the bridge and provide a reliable basis for subsequent quality evaluation, realizes automation and intelligentization through automatic information processing, greatly improves the processing efficiency and accuracy, and can intuitively understand various aspects of the bridge construction quality, thereby providing strong support for decision-making.

[0170] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other manners. The described device embodiments are merely illustrative, for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling, or direct coupling or communication connection between the components can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0171] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units; they can be located in one place, or distributed on a plurality of network units; and some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments.

[0172] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; and the integrated unit can be implemented in the form of hardware or hardware plus software functional units.

[0173] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, and the foregoing program can be stored in a readable storage medium, and the program is executed to perform the steps of the above-mentioned method embodiments; and the foregoing storage medium includes mobile storage devices, read-only memories, random access memories, magnetic discs or optical discs, and various storage medium that can store program codes.

[0174] Alternatively, the integrated units of the present application, if implemented in the form of software functional modules and sold or used as independent products, can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products, which are stored in a storage medium and include a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the methods described in the embodiments of the present application. The foregoing storage medium includes mobile storage devices, ROM, RAM, magnetic discs or optical discs, and various storage medium that can store program codes.

Claims

1. A method for monitoring the quality of bridge construction based on BIM, characterized by, The method comprises the following steps: bridge construction information of a preset bridge section in a preset time period is acquired, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted, and bridge simulation construction is performed through a preset BIM model to obtain bridge construction monitoring information; bridge machine performance parameter information, bridge structure feature information and raw material strength information are extracted according to the bridge construction monitoring information; bridge machine performance index is obtained by processing the bridge machine performance parameter information through a preset bridge machine performance model; bridge construction conflict index is obtained by processing the bridge structure feature information through a preset bridge profile analysis model; raw material strength index is obtained by processing the raw material strength information through a preset raw material strength model; bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and is compared with a preset quality index to determine whether the bridge construction quality index meets the requirements; bridge construction information of a preset bridge section in a preset time period is acquired, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted, and bridge simulation construction is performed through a preset BIM model to obtain bridge construction monitoring information, specifically as follows: bridge construction information of a preset bridge section in a preset time period is acquired, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted; the bridge machine parameter information comprises bridge machine model information, running state information and maintenance record information; the bridge section composition design information comprises main beam structure information, pier bearing information and support specification information; the construction material basic information comprises material type information and material property information; bridge simulation construction is performed through a preset BIM model according to the bridge machine parameter information, the bridge section composition design information and the construction material basic information to obtain bridge construction monitoring information; the bridge machine performance index is obtained by processing the bridge machine performance parameter information through a preset bridge machine performance model, specifically as follows: overload stability data, wind resistance data and lifting speed data are extracted from the bridge machine performance parameter information; the bridge machine performance index is obtained by processing the overload stability data, the wind resistance data and the lifting speed data through a preset bridge machine performance model.

2. The BIM-based bridge construction quality monitoring method of claim 1, wherein, the bridge construction conflict index is obtained by processing the bridge structure feature information through a preset bridge profile analysis model, specifically as follows: bridge layout consistency data, main component fitting degree data and construction applicability data are extracted from the bridge structure feature information; the bridge construction conflict index is obtained by processing the bridge layout consistency data, the main component fitting degree data and the construction applicability data through a preset bridge profile analysis model.

3. The BIM-based bridge construction quality monitoring method of claim 2, wherein, the raw material strength index is obtained by processing the raw material strength information through a preset raw material strength model, specifically as follows: physical property feature data, chemical composition stability data and force resistance data are extracted from the raw material strength information; the raw material strength index is obtained by processing the physical property feature data, the chemical composition stability data and the force resistance data through a preset raw material strength model.

4. The BIM-based bridge construction quality monitoring method of claim 3, wherein, The bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and is compared with a preset quality index to determine whether the bridge construction quality index meets the requirements. The bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index through a bridge quality inspection model. The quality index deviation rate is obtained by comparing the bridge construction quality index with a preset quality index. The quality index deviation rate is compared with a preset quality index deviation rate threshold. If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, an unqualified quality inspection information is sent. If the quality index deviation rate is less than the quality index deviation rate threshold, qualified quality inspection information is sent.

5. A bridge construction quality monitoring system based on BIM, characterized by, The BIM-based bridge construction quality monitoring method program is stored in the memory and executed by the processor to implement the following steps: Bridge construction information of a preset bridge section in a preset time period is obtained, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted, and bridge simulation construction is performed through a preset BIM model to obtain bridge construction monitoring information. Bridge machine performance parameter information, bridge structure feature information and raw material strength information are extracted from the bridge construction monitoring information. The bridge machine performance index is obtained by processing the bridge machine performance parameter information through a preset bridge machine performance model. The bridge construction conflict index is obtained by processing the bridge structure feature information through a preset bridge profile analysis model. The raw material strength index is obtained by processing the raw material strength information through a preset raw material strength model. The bridge construction quality index is obtained by processing the bridge machine performance index, the bridge construction conflict index and the raw material strength index, and is compared with a preset quality index to determine whether the bridge construction quality index meets the requirements. Bridge construction information of a preset bridge section in a preset time period is obtained, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted, and bridge simulation construction is performed through a preset BIM model to obtain bridge construction monitoring information. Bridge construction information of a preset bridge section in a preset time period is obtained, bridge machine parameter information, bridge section composition design information and construction material basic information are extracted. The bridge machine parameter information includes bridge machine model information, running state information and maintenance record information. The bridge section composition design information includes main beam structure information, bridge pier bearing information and support specification information. The construction material basic information includes material type information and material property information. Bridge simulation construction is performed through a preset BIM model based on the bridge machine parameter information, the bridge section composition design information and the construction material basic information to obtain bridge construction monitoring information. The bridge machine performance index is obtained by processing the bridge machine performance parameter information through a preset bridge machine performance model, specifically as follows: Overload stability data, wind resistance data and lifting speed data are extracted from the bridge machine performance parameter information. The overload stability data, wind resistance data and hoisting speed data are processed by a preset bridge-erecting machine performance model to obtain a bridge-erecting machine performance index.

6. A computer readable storage medium characterized by, The computer readable storage medium comprises a BIM-based bridge construction quality monitoring method program, and the BIM-based bridge construction quality monitoring method program, when executed by the processor, realizes the steps of the BIM-based bridge construction quality monitoring method in any one of claims 1 to 4.

Images