Road and bridge construction monitoring method and system based on BIM model

Abstract

The invention relates to the technical field of building engineering, and discloses a BIM model-based road and bridge construction monitoring method and system, through systematic data acquisition and integration, the method ensures the comprehensiveness and accuracy of information, so that various variables in the construction process can be monitored in real time, and the construction efficiency is improved. Due to the real-time performance, the method can quickly identify potential safety risks, accidents can be effectively prevented, the overall construction safety is improved, the quality and usability of data are greatly improved through the data preprocessing and calculation steps, redundant information is eliminated through classification and integration of multi-source data, and the safety of construction is improved. In addition, due to introduction of an abnormal judgment total coefficient YCZ, the method is endowed with a scientific decision-making basis, so that problems in the construction process can be presented in a quantitative mode, the scientificity and transparency of construction management are further enhanced, and meanwhile, the information transmission efficiency is improved through data analysis and generation of an alarm instruction.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering, and in particular to a road and bridge construction monitoring method and system based on a BIM model. Background Art

[0002] As a key engineering project, road and bridge construction can achieve more efficient and accurate design and construction management with the help of BIM models. By establishing a detailed BIM model, the construction method can integrate various information such as materials, progress, and costs to form a comprehensive project view, thereby enhancing collaboration capabilities and ensuring the smooth progress of the construction process and the rational allocation of resources.

[0003] However, despite the huge potential of BIM technology, road and bridge construction management still faces many challenges at this stage. Traditional monitoring methods often rely on manual inspection and empirical judgment, making it difficult to obtain and analyze data from construction sites in real time. This practice not only increases the risk of safety hazards and may lead to serious accidents, but may also cause construction delays and waste of resources. In addition, information islands are prevalent, there is a lack of effective integration between various types of data, and information asymmetry in the decision-making process makes it impossible for managers to make timely and scientific decisions.

[0004] Therefore, we proposed a road and bridge construction monitoring method based on BIM model to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a road and bridge construction monitoring method and system based on the BIM model to solve the problem that the traditional monitoring method mentioned in the background technology often relies on manual inspection and experience judgment, and it is difficult to obtain and analyze the data of the construction site in real time.

[0006] To achieve the above object, the present invention provides the following technical solution: a road and bridge construction monitoring method based on BIM model, the specific steps are as follows;

[0007] S1. Data collection: collect multi-source data during the road and bridge construction process, establish a BIM model according to the basic construction plan, and set the basic color of the model to green;

[0008] S2, data preprocessing, preprocessing the collected multi-source data, and reclassifying the preprocessed multi-source data into a first data set, a second data set, a third data set, a fourth data set, and a fifth data set;

[0009] S3, data calculation, integrating and calculating the first data set, the second data set, the third data set, the fourth data set and the fifth data set, so as to generate a total abnormality judgment coefficient YCZ;

[0010] S4, data analysis, comparing the total abnormality judgment coefficient YCZ with the preset first threshold value Y, thereby generating a first comparison result, and judging whether the current road and bridge construction is abnormal according to the first comparison result;

[0011] If the first comparison result shows no abnormality, a second comparison is performed to generate a second comparison result, and the specific abnormal node and the abnormal magnitude are determined according to the second comparison result;

[0012] S5. According to the second comparison result, a corresponding alarm instruction is generated and marked on the BIM model.

[0013] Preferably, in step S1, the multi-source data includes material data, construction period data, construction safety data and environmental data;

[0014] Material data includes compressive performance value, elastic modulus value, corrosion resistance value and material life;

[0015] The compressive performance value is divided into the basic model compressive performance value and the real-time compressive performance value, the elastic modulus value is divided into the basic model elastic modulus and the real-time elastic modulus, the corrosion resistance value is divided into the basic model corrosion resistance value and the real-time elastic modulus, and the material life is divided into the basic model material life and the real-time material life;

[0016] Construction progress data includes daily construction progress, equipment operation time, number of workers and man-hour consumption;

[0017] The daily construction progress is divided into the basic model daily construction progress and the real-time daily construction progress. The equipment operation time is divided into the basic model equipment operation time and the real-time equipment operation time. The number of workers is divided into the basic model worker number and the real-time worker number. The man-hour consumption is divided into the basic model man-hour consumption and the real-time man-hour consumption.

[0018] Construction safety data include structural stress values ​​and load distribution values;

[0019] The structural stress value is divided into the basic model structural stress value and the real-time structural stress value, and the load distribution value is divided into the basic model load distribution value and the real-time load distribution value;

[0020] Environmental data include terrain relief, temperature, humidity, wind speed, equipment power and water discharge;

[0021] The terrain undulation is divided into basic model terrain undulation and real-time terrain undulation, the temperature value is divided into basic model temperature value and real-time temperature value, the humidity value is divided into basic model humidity value and real-time humidity value, the wind speed value is divided into basic model wind speed value and real-time wind speed value, the equipment power value is divided into basic model equipment power value and real-time equipment power value, and the drainage is divided into basic model drainage and real-time drainage.

[0022] Preferably, in step S2, the first data set includes a basic model compressive performance value YA, a basic model elastic modulus value YB, a basic model corrosion resistance value YC, a basic model material life YD, a basic model daily construction progress YE, a basic model equipment operation time YF, a basic model number of workers YG, a basic model man-hour consumption YH, a basic model structural stress value YI, a basic model load distribution value YJ, a basic model terrain undulation YK, a basic model temperature value YL, a basic model humidity value YM, a basic model wind speed value YN, a basic model equipment electric power value YO and a basic model water displacement YP;

[0023] The second data set includes a real-time compressive performance value, a real-time elastic modulus value, a real-time corrosion resistance value, and a real-time material life;

[0024] The real-time compression resistance values ​​are recorded as A1, A2, A3, ..., An according to the timestamps;

[0025] The real-time elastic modulus values ​​are recorded as B1, B2, B3, ..., Bn according to the timestamps;

[0026] The real-time corrosion resistance values ​​are recorded as C1, C2, C3, ..., Cn according to the timestamp;

[0027] The real-time material life is recorded as D1, D2, D3, ..., Dn according to the timestamp;

[0028] The third data set includes real-time daily construction progress, real-time equipment operation time, real-time number of workers, and real-time man-hour consumption;

[0029] The real-time daily construction progress is recorded according to the timestamp as: E1, E2, E3, ..., En;

[0030] The real-time equipment operation time is recorded as F1, F2, F3, ..., Fn according to the timestamp;

[0031] The real-time number of workers is recorded as G1, G2, G3, ..., Gn according to the timestamp;

[0032] The real-time working time consumption is recorded as H1, H2, H3, ..., Hn according to the timestamp;

[0033] The fourth data set includes real-time structural stress values, real-time load distribution values, real-time wind speed values, and real-time water discharge;

[0034] The real-time structural stress values ​​are recorded as I1, I2, I3, ..., In according to the timestamps;

[0035] The real-time load distribution values ​​are recorded as J1, J2, J3, ..., Jn according to the timestamp;

[0036] The real-time wind speed values ​​are recorded as N1, N2, N3, ..., Nn according to the timestamps;

[0037] The real-time discharge volume is recorded as P1, P2, P3, ..., Pn according to the timestamp;

[0038] The fifth data set includes real-time terrain relief, real-time temperature value, real-time humidity value and real-time equipment power;

[0039] The real-time terrain relief is recorded as K1, K2, K3, ..., Kn according to the timestamp;

[0040] The real-time temperature values ​​are recorded as L1, L2, L3, ..., Ln according to the timestamps;

[0041] The real-time humidity values ​​are recorded as M1, M2, M3, ..., Mn according to the timestamps;

[0042] The real-time device power is recorded as O1, O2, O3, ..., On according to the timestamp.

[0043] Preferably, in step S3, the total abnormality judgment coefficient YCZ is calculated and obtained by the following formula:

[0044] YCZ=[a1×e S1 ×AQJ]+[a2×e S1 ×GQJ]+[b1×e S2 ×AQJ]+[b2×e S2 ×GQJ];

[0045] In the formula: a1, a2, b1 and b2 are weight values, the values ​​of a1, a2, b1 and b2 are adjusted and set by the user, S1 is the first reference coefficient, S2 is the second reference coefficient, AQJ is the safety intervention coefficient, and GQJ is the construction intervention coefficient.

[0046] Preferably, the first reference coefficient S1 and the second reference coefficient S2 are calculated and obtained by the following formulas respectively:

[0047]

[0048] Where: YA is the basic model compression performance value, YB is the basic model elastic modulus value, YC is the basic model corrosion resistance value, YD is the basic model material life, YK is the basic model terrain undulation, YL is the basic model temperature value, YM is the basic model humidity value, and YO is the basic model equipment power value;

[0049] An, Bn, Cn, Dn, Kn, Ln, Mn and On are the real-time compressive performance value, real-time elastic modulus value, real-time corrosion resistance value, real-time material life, real-time terrain undulation, real-time temperature value, real-time humidity value and real-time equipment power at timestamp n respectively;

[0050] Ai, Bi, Ci, Di, Ki, Li, Mi and Oi are the real-time compressive performance value, real-time elastic modulus value, real-time corrosion resistance value, real-time material life, real-time terrain undulation, real-time temperature value, real-time humidity value and real-time equipment power at timestamp i, respectively, and t is the total timestamp.

[0051] Preferably, the safety intervention coefficient AQJ and the construction period intervention coefficient GQJ are calculated and obtained by the following formulas respectively:

[0052]

[0053] Where: YE is the construction progress of the basic model, YF is the equipment operation time of the basic model, YG is the number of workers in the basic model, YH is the basic working time consumption, YI is the structural stress value of the basic model, YJ is the load distribution value of the basic model, YN is the wind speed value of the basic model, and YP is the displacement of the basic model;

[0054] En, Fn, Gn, Hn, In, Gn, Nn and Pn are the real-time daily construction progress, real-time equipment operation time, real-time number of workers, real-time man-hour consumption, real-time structural stress value, real-time load distribution value, real-time wind speed value and real-time drainage volume at timestamp n respectively;

[0055] Ei, Fi, Gi, Hi, Ii, Gi, Ni and Pi are the real-time daily construction progress, real-time equipment operation time, real-time number of workers, real-time working time consumption, real-time structural stress value, real-time load distribution value, real-time wind speed value and real-time drainage at timestamp i, respectively, and t is the total timestamp.

[0056] Preferably, the first comparison result in step S4 is as follows:

[0057] When YCZ≤Y, it means that there is no abnormality in the current construction;

[0058] When YCZ>Y, it means that the current construction is in an abnormal state.

[0059] Preferably, in step S4, the second comparison result is as follows:

[0060] When e S1 ×AQJ+e S2 ×AQJ≤R means that the current road and bridge is in a level 1 abnormal state, and the abnormality type is safety abnormality;

[0061] When e S1 ×GQJ+e S2 ×GQJ≤R means that the current road and bridge is in a first-level abnormal state, and the abnormal type is construction period abnormality;

[0062] When R<e S1 ×AQJ+e S2 ×AQJ≤R×103% means that the current road and bridge is in a secondary abnormal state, and the abnormality type is safety abnormality;

[0063] When R<e S1 ×GQJ+e S2 ×GQJ≤R×103% means that the current road and bridge is in a secondary abnormal state, and the abnormal type is abnormal construction period;

[0064] When e S1 ×AQJ+e S2 ×AQJ>R×103% means that the current road and bridge is in the third level abnormal state, and the abnormal type is safety abnormality;

[0065] When e S1 ×GQJ+e S2 When ×GQJ>×103%, it means that the current road and bridge is in the third-level abnormal state, and the abnormal type is construction period abnormality.

[0066] Preferably, in step S5, the specific alarm instructions are as follows:

[0067] When the road and bridge construction is in the first-level abnormal state, the data changes from the basic green to yellow, and the abnormal type is determined at the same time. If the abnormal type is a safety abnormality, AQ is marked at the abnormal node of the model for a block diagram prompt. If the abnormal type is a construction period abnormality, GQ is marked at the abnormal node of the model for a block diagram prompt. If both occur, they are marked at the same time.

[0068] When the road and bridge construction is in the secondary abnormal state, the data changes from the basic green to orange, and the abnormal type is determined at the same time. If the abnormal type is a safety abnormality, AQ is marked at the abnormal node of the model for a block diagram prompt. If the abnormal type is a construction period abnormality, GQ is marked at the abnormal node of the model for a block diagram prompt. If both occur, they are marked at the same time.

[0069] When the road and bridge construction is in the third-level abnormal state, the data changes from the basic green to red, and the abnormality type is determined at the same time. If the abnormality type is a safety abnormality, AQ is marked as a box diagram prompt at the model abnormal node. If the abnormality type is a construction period abnormality, GQ is marked as a box diagram prompt at the model abnormal node. If both occur at the same time, they are marked at the same time.

[0070] The present application also includes a road and bridge construction monitoring system based on a BIM model, including a data acquisition module, a data preprocessing module, a data calculation module, a data analysis module, and a data feedback module;

[0071] Data acquisition module, which collects multi-source data during the road and bridge construction process;

[0072] A data preprocessing module preprocesses the collected multi-source data, and reclassifies the preprocessed multi-source data into a first data set, a second data set, a third data set, a fourth data set, and a fifth data set;

[0073] The data calculation module integrates and calculates the first data set, the second data set, the third data set, the fourth data set and the fifth data set, so as to generate a total abnormality judgment coefficient YCZ;

[0074] The data analysis module compares the total abnormality judgment coefficient YCZ with a preset first threshold value Y to generate a first comparison result, and determines whether the current road and bridge construction is abnormal according to the first comparison result;

[0075] If the first comparison result shows no abnormality, a second comparison is performed to generate a second comparison result, and the specific abnormal node and the abnormal magnitude are determined according to the second comparison result;

[0076] The data feedback module generates alarm instructions and marks them on the BIM model.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] 1. Through systematic data collection and integration, this method ensures the comprehensiveness and accuracy of information, so that various variables in the construction process can be monitored in real time. This real-time nature not only enables this method to quickly identify potential safety risks, but also effectively prevents accidents and improves the overall construction safety. The data preprocessing and calculation steps greatly improve the quality and availability of data. By classifying and integrating multi-source data, this method eliminates redundant information and ensures the reliability of the analysis results. In addition, the introduction of the total coefficient of abnormal judgment YCZ gives this method a scientific decision-making basis, so that problems in the construction process can be presented in a quantitative manner, further enhancing the scientific nature and transparency of construction management. The generation of data analysis and alarm instructions improves the efficiency of information transmission. By comparing with the preset threshold, this method can detect construction anomalies in a timely manner and take corresponding measures. The visual alarm system not only facilitates the method to quickly locate problems, but also improves the response speed, thereby reducing potential losses caused by delays. The optimization of this process directly promotes the efficient use of resources, not only making significant improvements in safety management, but also optimizing construction efficiency and resource allocation.

[0079] 2. By calculating the total abnormality judgment coefficient YCZ, real-time monitoring of key performance indicators in the construction process can be achieved, helping managers to quickly identify potential risks, thereby improving construction safety and allowing users to adjust weight values ​​according to the specific needs of the project, thereby enhancing the flexibility and adaptability of the system and making it more in line with the monitoring needs of different construction environments and conditions.

[0080] 3. By defining abnormal status through clear comparison results, construction management personnel can quickly understand the current construction status, reduce misjudgment, and improve response speed. The introduction of multi-level abnormal status definitions can take corresponding response measures for different abnormal types, optimize resource allocation and processing procedures, and ensure that construction safety and construction period management are more refined. By combining color changes and annotations in the BIM model, intuitive construction status monitoring is provided, which improves the efficiency of information communication and helps construction personnel identify problems more quickly. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 The present invention is a flow chart of the method.

[0082] Figure 2 It is a system step diagram of the present invention. DETAILED DESCRIPTION

[0083] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0084] Example 1: Please refer to Figure 1 ,A road and bridge construction monitoring method based on BIM model, the specific steps are as follows;

[0085] S1. Data collection: collect multi-source data during the road and bridge construction process, establish a BIM model according to the basic construction plan, and set the basic color of the model to green;

[0086] S2, data preprocessing, preprocessing the collected multi-source data, and reclassifying the preprocessed multi-source data into a first data set, a second data set, a third data set, a fourth data set, and a fifth data set;

[0087] S3, data calculation, integrating and calculating the first data set, the second data set, the third data set, the fourth data set and the fifth data set, so as to generate a total abnormality judgment coefficient YCZ;

[0088] S4, data analysis, comparing the total abnormality judgment coefficient YCZ with the preset first threshold value Y, thereby generating a first comparison result, and judging whether the current road and bridge construction is abnormal according to the first comparison result;

[0089] If the first comparison result shows no abnormality, a second comparison is performed to generate a second comparison result, and the specific abnormal node and the abnormal magnitude are determined according to the second comparison result;

[0090] S5. According to the second comparison result, a corresponding alarm instruction is generated and marked on the BIM model.

[0091] In this embodiment: In step S1, multi-source data in the road and bridge construction process is effectively collected. A construction plan based on the BIM model is established, so as to intuitively understand the project progress and resource allocation. The basic color of the model is set to green, symbolizing the normal state, which provides a benchmark for subsequent monitoring and evaluation, ensuring the comprehensiveness and accuracy of the information.

[0092] In step S2, the collected multi-source data is preprocessed, including cleaning and sorting. The data is reclassified into multiple data sets, thereby improving the availability and effectiveness of the data. In this way, redundant and noisy data are eliminated. Through the structured data set, the project method can retrieve and analyze information more quickly, thereby improving work efficiency.

[0093] In step S3, the first to fifth data sets are integrated and calculated to generate the total abnormality judgment coefficient YCZ. Through quantitative analysis of various types of data, this construction method can timely discover potential risks and abnormal situations. The beneficial effect of achieving this goal is that by quantifying various indicators in the construction process through scientific methods, the decision-making is more accurate and reliable, and the construction safety is effectively improved.

[0094] In step S4, the total coefficient of abnormality judgment YCZ is compared with the preset threshold to determine whether there is any abnormality in the construction. If an abnormality is found, the method will perform a secondary comparison to further clarify the abnormal node and its magnitude. This process ensures real-time monitoring of the construction status, allowing problems to be identified and handled at an early stage, reducing potential safety risks and losses.

[0095] In step S5, according to the second comparison result, the system will generate a corresponding alarm instruction and mark it on the BIM model. This process not only improves the efficiency of information transmission, but also ensures timely response and processing. Through visual warnings, the construction method can quickly locate problems and take corresponding measures, significantly reducing the probability of accidents.

[0096] Through systematic data collection and integration, this method ensures the comprehensiveness and accuracy of information, so that various variables in the construction process can be monitored in real time. This real-time nature not only enables this method to quickly identify potential safety risks, but also effectively prevent accidents, thereby improving the overall construction safety. The data preprocessing and calculation steps greatly improve the quality and availability of data. By classifying and integrating multi-source data, this method eliminates redundant information and ensures the reliability of the analysis results. In addition, the introduction of the total coefficient of abnormal judgment YCZ gives this method a scientific decision-making basis, so that problems in the construction process can be presented in a quantitative manner, further enhancing the scientific nature and transparency of construction management. The generation of data analysis and alarm instructions improves the efficiency of information transmission. By comparing with the preset threshold, this method can promptly detect construction anomalies and take corresponding measures. The visual alarm system not only facilitates the method to quickly locate problems, but also improves the response speed, thereby reducing potential losses caused by delays. The optimization of this process directly promotes the efficient use of resources, not only making significant improvements in safety management, but also optimizing construction efficiency and resource allocation.

[0097] Example 2: Please refer to Figure 1 ,In step S1, the multi-source data includes material data, construction period data, construction safety data and environmental data;

[0098] Material data includes compressive performance value, elastic modulus value, corrosion resistance value and material life;

[0099] The compressive performance value is divided into the basic model compressive performance value and the real-time compressive performance value, the elastic modulus value is divided into the basic model elastic modulus and the real-time elastic modulus, the corrosion resistance value is divided into the basic model corrosion resistance value and the real-time elastic modulus, and the material life is divided into the basic model material life and the real-time material life;

[0100] Construction progress data includes daily construction progress, equipment operation time, number of workers and man-hour consumption;

[0101] The daily construction progress is divided into the basic model daily construction progress and the real-time daily construction progress. The equipment operation time is divided into the basic model equipment operation time and the real-time equipment operation time. The number of workers is divided into the basic model worker number and the real-time worker number. The man-hour consumption is divided into the basic model man-hour consumption and the real-time man-hour consumption.

[0102] Construction safety data include structural stress values ​​and load distribution values;

[0103] The structural stress value is divided into the basic model structural stress value and the real-time structural stress value, and the load distribution value is divided into the basic model load distribution value and the real-time load distribution value;

[0104] Environmental data include terrain relief, temperature, humidity, wind speed, equipment power and water discharge;

[0105] The terrain undulation is divided into basic model terrain undulation and real-time terrain undulation, the temperature value is divided into basic model temperature value and real-time temperature value, the humidity value is divided into basic model humidity value and real-time humidity value, the wind speed value is divided into basic model wind speed value and real-time wind speed value, the equipment power value is divided into basic model equipment power value and real-time equipment power value, and the drainage is divided into basic model drainage and real-time drainage.

[0106] In step S2, the first data set includes a basic model compression performance value YA, a basic model elastic modulus value YB, a basic model corrosion resistance value YC, a basic model material life YD, a basic model daily construction progress YE, a basic model equipment operation time YF, a basic model number of workers YG, a basic model man-hour consumption YH, a basic model structural stress value YI, a basic model load distribution value YJ, a basic model terrain undulation YK, a basic model temperature value YL, a basic model humidity value YM, a basic model wind speed value YN, a basic model equipment electric power value YO, and a basic model water displacement YP;

[0107] The second data set includes a real-time compressive performance value, a real-time elastic modulus value, a real-time corrosion resistance value, and a real-time material life;

[0108] The real-time compression resistance values ​​are recorded as A1, A2, A3, ..., An according to the timestamps;

[0109] The real-time elastic modulus values ​​are recorded as B1, B2, B3, ..., Bn according to the timestamps;

[0110] The real-time corrosion resistance values ​​are recorded as C1, C2, C3, ..., Cn according to the timestamp;

[0111] The real-time material life is recorded as D1, D2, D3, ..., Dn according to the timestamp;

[0112] The third data set includes real-time daily construction progress, real-time equipment operation time, real-time number of workers, and real-time man-hour consumption;

[0113] The real-time daily construction progress is recorded according to the timestamp as: E1, E2, E3, ..., En;

[0114] The real-time equipment operation time is recorded as F1, F2, F3, ..., Fn according to the timestamp;

[0115] The real-time number of workers is recorded as G1, G2, G3, ..., Gn according to the timestamp;

[0116] The real-time working time consumption is recorded as H1, H2, H3, ..., Hn according to the timestamp;

[0117] The fourth data set includes real-time structural stress values, real-time load distribution values, real-time wind speed values, and real-time water discharge;

[0118] The real-time structural stress values ​​are recorded as I1, I2, I3, ..., In according to the timestamps;

[0119] The real-time load distribution values ​​are recorded as J1, J2, J3, ..., Jn according to the timestamp;

[0120] The real-time wind speed values ​​are recorded as N1, N2, N3, ..., Nn according to the timestamps;

[0121] The real-time discharge volume is recorded as P1, P2, P3, ..., Pn according to the timestamp;

[0122] The fifth data set includes real-time terrain relief, real-time temperature value, real-time humidity value and real-time equipment power;

[0123] The real-time terrain relief is recorded as K1, K2, K3, ..., Kn according to the timestamp;

[0124] The real-time temperature values ​​are recorded as L1, L2, L3, ..., Ln according to the timestamps;

[0125] The real-time humidity values ​​are recorded as M1, M2, M3, ..., Mn according to the timestamps;

[0126] The real-time device power is recorded as O1, O2, O3, ..., On according to the timestamp.

[0127] In this embodiment: By integrating material data, construction progress data, construction safety data and environmental data, the method realizes all-round monitoring of the entire construction process, which is more systematic and comprehensive than traditional methods. Comparing real-time data with basic model data helps to identify potential risks and construction anomalies in a timely manner, so as to take remedial measures more quickly and significantly improve construction safety. Through comprehensive analysis of various types of data, it provides a scientific basis for construction management, helps decision makers to make more accurate predictions and plans, and improves overall management efficiency.

[0128] Dynamic tracking of material properties enables construction management to optimize material selection according to actual conditions and improve the reliability and durability of the structure. Real-time monitoring of construction progress, equipment operating time, and man-hour consumption can help managers understand project progress in a timely manner, optimize resource allocation, and ensure that construction is completed on time. Real-time monitoring of environmental parameters helps construction managers adjust construction strategies according to external conditions and reduce the impact of climate change on construction.

[0129] By dividing multi-source data into five clear data sets, the orderly storage and management of information is ensured, making subsequent data processing and analysis more efficient. By comparing the basic model and real-time data, anomalies in the construction process can be identified in a timely manner, facilitating the adoption of quick and effective response measures, thereby improving construction safety.

[0130] Example 3: Please refer to Figure 1 In step S3, the total abnormality judgment coefficient YCZ is calculated and obtained by the following formula;

[0131] YCZ=[a1×e S1 ×AQJ]+[a2×e s1 ×GQJ]+[b1×e s2 ×AQJ]+[b2×e s2 ×GQJ];

[0132] In the formula: a1, a2, b1 and b2 are weight values, the values ​​of a1, a2, b1 and b2 are adjusted and set by the user, S1 is the first reference coefficient, S2 is the second reference coefficient, AQJ is the safety intervention coefficient, and GQJ is the construction intervention coefficient.

[0133] The first reference coefficient S1 and the second reference coefficient S2 are calculated and obtained by the following formulas respectively;

[0134]

[0135] Where: YA is the basic model compression performance value, YB is the basic model elastic modulus value, YC is the basic model corrosion resistance value, YD is the basic model material life, YK is the basic model terrain undulation, YL is the basic model temperature value, YM is the basic model humidity value, and YO is the basic model equipment power value;

[0136] An, Bn, Cn, Dn, Kn, Ln, Mn and On are the real-time compressive performance value, real-time elastic modulus value, real-time corrosion resistance value, real-time material life, real-time terrain undulation, real-time temperature value, real-time humidity value and real-time equipment power at timestamp n respectively;

[0137] Ai, Bi, Ci, Di, Ki, Li, Mi and Oi are the real-time compressive performance value, real-time elastic modulus value, real-time corrosion resistance value, real-time material life, real-time terrain undulation, real-time temperature value, real-time humidity value and real-time equipment power at timestamp i, respectively, and t is the total timestamp.

[0138] The safety intervention coefficient AQJ and the construction period intervention coefficient GQJ are calculated and obtained by the following formulas respectively;

[0139]

[0140] Where: YE is the construction progress of the basic model, YF is the equipment operation time of the basic model, YG is the number of workers in the basic model, YH is the basic working time consumption, YI is the structural stress value of the basic model, YJ is the load distribution value of the basic model, YN is the wind speed value of the basic model, and YP is the displacement of the basic model;

[0141] En, Fn, Gn, Hn, In, Gn, Nn and Pn are the real-time daily construction progress, real-time equipment operation time, real-time number of workers, real-time man-hour consumption, real-time structural stress value, real-time load distribution value, real-time wind speed value and real-time drainage volume at timestamp n respectively;

[0142] Ei, Fi, Gi, Hi, Ii, Gi, Ni and Pi are the real-time daily construction progress, real-time equipment operation time, real-time number of workers, real-time working time consumption, real-time structural stress value, real-time load distribution value, real-time wind speed value and real-time drainage at timestamp i, respectively, and t is the total timestamp.

[0143] In this embodiment: by calculating the total abnormality judgment coefficient YCZ, real-time monitoring of key performance indicators in the construction process can be achieved, helping managers to quickly identify potential risks, thereby improving construction safety, allowing users to adjust weight values ​​according to specific project needs, enhancing the flexibility and adaptability of the system, and making it more in line with the monitoring needs of different construction environments and conditions.

[0144] By combining the first reference coefficient S1 and the second reference coefficient S2, the construction status can be comprehensively evaluated from multiple angles to ensure that performance in all aspects can be monitored in real time, thereby achieving all-round control of construction quality. The introduction of the safety intervention coefficient AQJ and the construction intervention coefficient GQJ enables multiple factors such as construction progress, structural safety, and environmental factors to be considered in a coordinated manner, thereby improving the scientificity and accuracy of the overall construction management.

[0145] The comparison between real-time performance data and basic model data can effectively identify non-conformities in the construction process and adjust the construction plan in a timely manner, avoiding problems caused by delayed feedback. Through the formulaic calculation method, the construction status assessment results can be quickly obtained, helping management to make decisions quickly, optimize resource allocation, and improve construction efficiency.

[0146] Example 4: Please refer to Figure 1 , the first comparison result in step S4 is as follows;

[0147] When YCZ≤Y, it means that there is no abnormality in the current construction;

[0148] When YCZ>Y, it means that the current construction is in an abnormal state.

[0149] In step S4, the second comparison result is as follows;

[0150] When e S1 ×AQJ+e S2 ×AQJ≤R means that the current road and bridge is in a level 1 abnormal state, and the abnormality type is safety abnormality;

[0151] When e S1 ×GQJ+e S2 ×GQJ≤R means that the current road and bridge is in a first-level abnormal state, and the abnormal type is construction period abnormality;

[0152] When R<e S1 ×AQJ+e S2 ×AQJ≤R×103% means that the current road and bridge is in a secondary abnormal state, and the abnormality type is safety abnormality;

[0153] When R<e S1 ×GQJ+e S3 ×GOJ≤R×103% means that the current road and bridge is in a secondary abnormal state, and the abnormal type is abnormal construction period;

[0154] When e S1 ×AQJ+e S2 ×AQJ>R×103% means that the current road and bridge is in the third level abnormal state, and the abnormal type is safety abnormality;

[0155] When e S1 ×GQJ+e S2 When ×GQJ>×103%, it means that the current road and bridge is in the third-level abnormal state, and the abnormal type is construction period abnormality.

[0156] In step S5, the specific alarm instructions are as follows;

[0157] When the road and bridge construction is in the first-level abnormal state, the data changes from the basic green to yellow, and the abnormal type is determined at the same time. If the abnormal type is a safety abnormality, AQ is marked at the abnormal node of the model for a block diagram prompt. If the abnormal type is a construction period abnormality, GQ is marked at the abnormal node of the model for a block diagram prompt. If both occur, they are marked at the same time.

[0158] When the road and bridge construction is in the secondary abnormal state, the data changes from the basic green to orange, and the abnormal type is determined at the same time. If the abnormal type is a safety abnormality, AQ is marked at the abnormal node of the model for a block diagram prompt. If the abnormal type is a construction period abnormality, GQ is marked at the abnormal node of the model for a block diagram prompt. If both occur, they are marked at the same time.

[0159] When the road and bridge construction is in the third-level abnormal state, the data changes from the basic green to red, and the abnormality type is determined at the same time. If the abnormality type is a safety abnormality, AQ is marked as a box diagram prompt at the model abnormal node. If the abnormality type is a construction period abnormality, GQ is marked as a box diagram prompt at the model abnormal node. If both occur at the same time, they are marked at the same time.

[0160] In this embodiment: by defining abnormal status through clear comparison results, construction management personnel can quickly understand the current construction status, reduce misjudgment, and improve response speed. By introducing the definition of multi-level abnormal status, corresponding response measures can be taken for different abnormal types, resource allocation and processing procedures can be optimized, and construction safety and construction period management can be ensured to be more refined. By combining color changes and annotations in the BIM model, intuitive construction status monitoring is provided, which improves the efficiency of information communication and helps construction personnel identify problems more quickly.

[0161] Marking specific abnormality types enables managers to quickly focus on the problem, conduct targeted analysis and rectification, and avoid misoperation or delays caused by ambiguous information. The graded alarm instructions can not only remind construction personnel in real time, but also effectively reduce potential risks, enhance the initiative of on-site safety management, and help prevent major accidents. The management of safety abnormalities and construction period abnormalities is integrated together, which promotes collaboration at different management levels, improves the overall efficiency of construction management, and enhances information sharing among this method.

[0162] See also Figure 2 , a road and bridge construction monitoring system based on BIM model, including a data acquisition module, a data preprocessing module, a data calculation module, a data analysis module and a data feedback module;

[0163] Data acquisition module, which collects multi-source data during the road and bridge construction process;

[0164] A data preprocessing module preprocesses the collected multi-source data, and reclassifies the preprocessed multi-source data into a first data set, a second data set, a third data set, a fourth data set, and a fifth data set;

[0165] The data calculation module integrates and calculates the first data set, the second data set, the third data set, the fourth data set and the fifth data set, so as to generate a total abnormality judgment coefficient YCZ;

[0166] The data analysis module compares the total abnormality judgment coefficient YCZ with a preset first threshold value Y to generate a first comparison result, and determines whether the current road and bridge construction is abnormal according to the first comparison result;

[0167] If the first comparison result shows no abnormality, a second comparison is performed to generate a second comparison result, and the specific abnormal node and the abnormal magnitude are determined according to the second comparison result;

[0168] The data feedback module generates alarm instructions and marks them on the BIM model.

[0169] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0170] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A road and bridge construction monitoring method based on a BIM model, characterized in that: The specific steps are as follows; S1. Data collection: collect multi-source data during the road and bridge construction process, establish a BIM model according to the basic construction plan, and set the basic color of the model to green; S2, data preprocessing, preprocessing the collected multi-source data, and reclassifying the preprocessed multi-source data into a first data set, a second data set, a third data set, a fourth data set, and a fifth data set; S3, data calculation, integrating and calculating the first data set, the second data set, the third data set, the fourth data set and the fifth data set, so as to generate a total abnormality judgment coefficient YCZ; S4, data analysis, comparing the total abnormality judgment coefficient YCZ with the preset first threshold value Y, thereby generating a first comparison result, and judging whether the current road and bridge construction is abnormal according to the first comparison result; If the first comparison result shows no abnormality, a second comparison is performed to generate a second comparison result, and the specific abnormal node and the abnormal magnitude are determined according to the second comparison result; S5. According to the second comparison result, a corresponding alarm instruction is generated and marked on the BIM model.

2. A road and bridge construction monitoring method based on a BIM model according to claim 1, characterized in that: In step S1, the multi-source data includes material data, construction period data, construction safety data and environmental data; Material data includes compressive performance value, elastic modulus value, corrosion resistance value and material life; The compressive performance value is divided into the basic model compressive performance value and the real-time compressive performance value, the elastic modulus value is divided into the basic model elastic modulus and the real-time elastic modulus, the corrosion resistance value is divided into the basic model corrosion resistance value and the real-time elastic modulus, and the material life is divided into the basic model material life and the real-time material life; Construction progress data includes daily construction progress, equipment operation time, number of workers and man-hour consumption; The daily construction progress is divided into the basic model daily construction progress and the real-time daily construction progress. The equipment operation time is divided into the basic model equipment operation time and the real-time equipment operation time. The number of workers is divided into the basic model worker number and the real-time worker number. The man-hour consumption is divided into the basic model man-hour consumption and the real-time man-hour consumption. Construction safety data include structural stress values ​​and load distribution values; The structural stress value is divided into the basic model structural stress value and the real-time structural stress value, and the load distribution value is divided into the basic model load distribution value and the real-time load distribution value; Environmental data include terrain relief, temperature, humidity, wind speed, equipment power and water discharge; The terrain undulation is divided into basic model terrain undulation and real-time terrain undulation, the temperature value is divided into basic model temperature value and real-time temperature value, the humidity value is divided into basic model humidity value and real-time humidity value, the wind speed value is divided into basic model wind speed value and real-time wind speed value, the equipment power value is divided into basic model equipment power value and real-time equipment power value, and the drainage is divided into basic model drainage and real-time drainage.

3. A road and bridge construction monitoring method based on a BIM model according to claim 2, characterized in that: In the step S2, the first data set includes a basic model compression performance value YA, a basic model elastic modulus value YB, a basic model corrosion resistance value YC, a basic model material life YD, a basic model daily construction progress YE, a basic model equipment operation time YF, a basic model number of workers YG, a basic model man-hour consumption YH, a basic model structural stress value YI, a basic model load distribution value YJ, a basic model terrain undulation YK, a basic model temperature value YL, a basic model humidity value YM, a basic model wind speed value YN, a basic model equipment electric power value YO and a basic model displacement YP; The second data set includes a real-time compressive performance value, a real-time elastic modulus value, a real-time corrosion resistance value, and a real-time material life; The real-time compression resistance values ​​are recorded as A1, A2, A3, ..., An according to the timestamps; The real-time elastic modulus values ​​are recorded as B1, B2, B3, ..., Bn according to the timestamps; The real-time corrosion resistance values ​​are recorded as C1, C2, C3, ..., Cn according to the timestamp; The real-time material life is recorded as D1, D2, D3, ..., Dn according to the timestamp; The third data set includes real-time daily construction progress, real-time equipment operation time, real-time number of workers, and real-time man-hour consumption; The real-time daily construction progress is recorded according to the timestamp as: E1, E2, E3, …, En; The real-time equipment operation time is recorded as F1, F2, F3, ..., Fn according to the timestamp; The real-time number of workers is recorded as G1, G2, G3, …, Gn according to the timestamp; The real-time working time consumption is recorded as H1, H2, H3, …, Hn according to the timestamp; The fourth data set includes real-time structural stress values, real-time load distribution values, real-time wind speed values, and real-time water discharge; The real-time structural stress values ​​are recorded as I1, I2, I3, …, In according to the timestamps; The real-time load distribution values ​​are recorded as J1, J2, J3, …, Jn according to the timestamp; The real-time wind speed values ​​are recorded as N1, N2, N3, ..., Nn according to the timestamps. The real-time discharge volume is recorded as P1, P2, P3, …, Pn according to the timestamp; The fifth data set includes real-time terrain relief, real-time temperature value, real-time humidity value and real-time equipment power; The real-time terrain relief is recorded as K1, K2, K3, …, Kn according to the timestamp; The real-time temperature values ​​are recorded as L1, L2, L3, ..., Ln according to the timestamps; The real-time humidity values ​​are recorded as M1, M2, M3, …, Mn according to the timestamps. The real-time device power is recorded according to the timestamps: 01, 02, 03, ..., 0n.

4. The method for monitoring road and bridge construction based on a BIM model according to claim 3 is characterized in that: In step S3, the total abnormality judgment coefficient YCZ is calculated and obtained by the following formula: YCZ=[a1×e S1 ×AQJ]+[a2×e S1 ×GQJ]+[b1×e S2 ×AQJ]+[b2×e S2 ×GQJ]; In the formula: a1, a2, b1 and b2 are weight values, the values ​​of a1, a2, b1 and b2 are adjusted and set by the user, S1 is the first reference coefficient, S2 is the second reference coefficient, AQJ is the safety intervention coefficient, and GQJ is the construction intervention coefficient.

5. The method for monitoring road and bridge construction based on a BIM model according to claim 4 is characterized in that: The first reference coefficient S1 and the second reference coefficient S2 are calculated and obtained by the following formulas respectively; Where: YA is the basic model compression performance value, YB is the basic model elastic modulus value, YC is the basic model corrosion resistance value, YD is the basic model material life, YK is the basic model terrain undulation, YL is the basic model temperature value, YM is the basic model humidity value, and YO is the basic model equipment power value; An, Bn, Cn, Dn, Kn, Ln, Mn and On are the real-time compressive performance value, real-time elastic modulus value, real-time corrosion resistance value, real-time material life, real-time terrain undulation, real-time temperature value, real-time humidity value and real-time equipment power at timestamp n respectively; Ai, Bi, Ci, Di, Ki, Li, Mi and Oi are the real-time compressive performance value, real-time elastic modulus value, real-time corrosion resistance value, real-time material life, real-time terrain undulation, real-time temperature value, real-time humidity value and real-time equipment power at timestamp i, respectively, and t is the total timestamp.

6. A road and bridge construction monitoring method based on a BIM model according to claim 5, characterized in that: The safety intervention coefficient AQJ and the construction period intervention coefficient GQJ are calculated and obtained by the following formulas respectively; Where: YE is the construction progress of the basic model, YF is the equipment operation time of the basic model, YG is the number of workers in the basic model, YH is the basic working time consumption, YI is the structural stress value of the basic model, YJ is the load distribution value of the basic model, YN is the wind speed value of the basic model, and YP is the displacement of the basic model; En, Fn, Gn, Hn, In, Gn, Nn and Pn are the real-time daily construction progress, real-time equipment operation time, real-time number of workers, real-time man-hour consumption, real-time structural stress value, real-time load distribution value, real-time wind speed value and real-time drainage volume at timestamp n respectively; Ei, Fi, Gi, Hi, Ii, Gi, Ni and Pi are the real-time daily construction progress, real-time equipment operation time, real-time number of workers, real-time working time consumption, real-time structural stress value, real-time load distribution value, real-time wind speed value and real-time drainage at timestamp i, respectively, and t is the total timestamp.

7. A road and bridge construction monitoring method based on a BIM model according to claim 6, characterized in that: The first comparison result in step S4 is as follows: When YCZ≤Y, it means that there is no abnormality in the current construction; When YCZ>Y, it means that the current construction is in an abnormal state.

8. The method for monitoring road and bridge construction based on a BIM model according to claim 7 is characterized in that: In step S4, the second comparison result is as follows: When e S1 ×AQJ+e S2 ×AQJ≤R means that the current road and bridge is in a level 1 abnormal state, and the abnormality type is safety abnormality; When e S1 ×GQJ+e S2 ×GQJ≤R means that the current road and bridge is in a first-level abnormal state, and the abnormal type is construction period abnormality; When R<e S1 ×AQJ+e S2 ×AQJ≤R×1 03% means that the current road and bridge is in a secondary abnormal state, and the abnormality type is safety abnormality; When R<e S1 ×GQJ+e S2 ×GQJ≤R×103% means that the current road and bridge is in a secondary abnormal state, and the abnormal type is abnormal construction period; When e S1 ×AQJ+e S2 ×AQJ>R×103% means that the current road and bridge is in the third level abnormal state, and the abnormal type is safety abnormality; When e S1 ×GQJ+e S2 When ×GQJ>×103%, it means that the current road and bridge is in the third-level abnormal state, and the abnormality type is construction period abnormality.

9. A road and bridge construction monitoring method based on a BIM model according to claim 8, characterized in that: In step S5, the specific alarm instructions are as follows: When the road and bridge construction is in the first-level abnormal state, the data changes from the basic green to yellow, and the abnormal type is determined at the same time. If the abnormal type is a safety abnormality, AQ is marked at the abnormal node of the model for a block diagram prompt. If the abnormal type is a construction period abnormality, GQ is marked at the abnormal node of the model for a block diagram prompt. If both occur, they are marked at the same time. When the road and bridge construction is in the secondary abnormal state, the data changes from the basic green to orange, and the abnormal type is determined at the same time. If the abnormal type is a safety abnormality, AQ is marked at the abnormal node of the model for a block diagram prompt. If the abnormal type is a construction period abnormality, GQ is marked at the abnormal node of the model for a block diagram prompt. If both occur, they are marked at the same time. When the road and bridge construction is in the third-level abnormal state, the data changes from the basic green to red, and the abnormality type is determined at the same time. If the abnormality type is a safety abnormality, AQ is marked as a box diagram prompt at the model abnormal node. If the abnormality type is a construction period abnormality, GQ is marked as a box diagram prompt at the model abnormal node. If both occur at the same time, they are marked at the same time.

10. A road and bridge construction monitoring system based on a BIM model, comprising the road and bridge construction monitoring method based on a BIM model as described in any one of claims 1 to 9, characterized in that: It includes data acquisition module, data preprocessing module, data calculation module, data analysis module and data feedback module; Data acquisition module, which collects multi-source data during the road and bridge construction process; A data preprocessing module preprocesses the collected multi-source data, and reclassifies the preprocessed multi-source data into a first data set, a second data set, a third data set, a fourth data set, and a fifth data set; The data calculation module integrates and calculates the first data set, the second data set, the third data set, the fourth data set and the fifth data set, so as to generate a total abnormality judgment coefficient YCZ; The data analysis module compares the total abnormality judgment coefficient YCZ with a preset first threshold value Y to generate a first comparison result, and determines whether the current road and bridge construction is abnormal according to the first comparison result; If the first comparison result shows no abnormality, a second comparison is performed to generate a second comparison result, and the specific abnormal node and the abnormal magnitude are determined according to the second comparison result; The data feedback module generates alarm instructions and marks them on the BIM model.

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