BIM-based traffic engineering construction progress management system

Abstract

The invention discloses a BIM-based traffic engineering construction progress management system, and relates to the technical field of BIM. When the system runs, a feature vector FV1 is formed through a condition acquisition module, an influence factor IF of a construction progress is calculated, a preset construction plan progress PO is dynamically corrected, and a corrected predicted construction progress PD is generated; and the construction plan can be continuously optimized according to the actual situation. A feedback feature vector FV2 is formed by using field feedback, external and feedback conditions are combined to generate an influence sorting list WLB, the influence sorting list WLB and a preset condition influence progress threshold TZ are combined to generate a multi-level construction field progress evaluation strategy, and coping schemes under different scenes are provided. According to the method, the defect that traditional progress management is insufficient in response to emergencies is overcome, and through dynamic progress correction and automatic decision generation, the coping capacity of a traffic construction project facing complex external conditions is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of BIM, and in particular to a BIM-based traffic engineering construction progress management system. Background Art

[0002] With the acceleration of urbanization, transportation infrastructure construction has become a core part of urban development, and the construction progress management is directly related to whether the project can be completed on schedule and reduce interference with traffic flow. In recent years, Building Information Modeling (BIM) technology, as an innovative tool, has gradually been applied to transportation engineering construction, providing strong technical support for the visualization, coordination and refined management of the construction process.

[0003] At present, in the current status of traffic engineering construction progress management, traditional construction progress management relies on pre-established construction plans and manual adjustment methods, and cannot make real-time predictions and responses to emergencies, including extreme weather, delayed material supply, and personnel abnormalities. This often leads to a disconnect between the construction plan and the actual construction progress, affecting the smooth progress of the project. Especially in large-scale transportation engineering projects, the external environment is complex and changeable, and multiple processes are interdependent. It is impossible to quickly adjust the construction plan to deal with external factors, which may lead to serious progress delays. Traditional progress management tools lack dynamic analysis capabilities and it is difficult to accurately predict the comprehensive impact of various external factors on the construction progress, which often makes managers at a loss when faced with emergencies. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a BIM-based transportation engineering construction progress management system, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a BIM-based traffic engineering construction progress management system, including a condition acquisition module, a progress simulation module, a condition impact processing module, a progress impact processing module and an optimization decision module;

[0006] The condition acquisition module collects external conditions that affect the construction progress through several channels, including weather conditions, personnel conditions, geological conditions and underground conditions, and forms a feature vector FV1;

[0007] The progress simulation module obtains the progress influencing factor IF at time t by fitting according to the feature vector FV1, and uses the progress influencing factor IF to correct the preset construction plan progress PO to obtain the corrected predicted construction progress PD;

[0008] The condition impact processing module extracts and processes the feature information of the problem condition fed back by the on-site construction personnel, obtains the feedback feature vector FV2, synchronously calculates the feedback feature vector FV2 and the feature vector FV1, obtains the impact ranking list WLB of the external impact conditions, and synchronously sorts and marks the impact ranking list WLB;

[0009] The progress impact processing module establishes a traffic construction site model by using BIM technology, and visualizes the impact ranking list WLB in the traffic construction site model;

[0010] The optimization decision module matches the impact ranking list WLB with the preset condition impact progress threshold TZ, generates a multi-level construction site progress assessment strategy plan, and notifies and prompts relevant personnel to take action according to the content of the construction site progress assessment strategy plan.

[0011] Preferably, the condition acquisition module includes an acquisition unit and a processing unit;

[0012] The acquisition unit collects external condition information at time t through multiple channels, including sensor channels, monitoring system channels and manual input channels, and the external condition information includes weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU;

[0013] The weather condition MT includes calculating and acquiring meteorological data related to rainfall R, temperature value T and wind speed value R collected by meteorological sensors;

[0014] The personnel condition PE includes the number of construction personnel at the construction site recorded and uploaded by the personnel access control monitoring system Nava;

[0015] The geological conditions GC include obtaining geological structure data of the construction area using geological sensors and artificial input channels, including soil hardness Ssoil, rock thickness Trock and groundwater depth Water, by calculation;

[0016] The underground condition PU includes obtaining the pipeline distribution and pipeline quantity M of the underground pipeline using a scanner sensor, wherein the pipeline distribution includes the minimum pipeline fitting distance THmin, the maximum pipeline diameter ZJmax and the maximum pipeline interaction quantity JHmax, which are calculated and obtained.

[0017] Preferably, the processing unit performs data normalization processing and aggregation processing on the weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU acquired at time t, wherein the data normalization processing includes using max-min normalization processing, and the aggregation processing includes integrating the normalized weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU to form a feature vector FV1 = {MT, PE, GC, PU};

[0018] The weather condition MT is obtained by the following calculation formula:

[0019]

[0020] Wherein, R(t), T(t) and W(t) represent the rainfall, temperature and wind speed at time t, respectively; Rmax represents the preset upper limit of rainfall, specifically the rainfall value at which construction is stopped due to rainfall; Tmin and Tmax represent the lower limit of temperature and the upper limit of temperature, respectively, specifically the lowest temperature and the highest temperature at which construction is stopped due to temperature influence; Wmax represents the preset upper limit of wind speed, specifically the maximum wind speed value at which construction is stopped due to risk influence;

[0021] The personnel condition PE is obtained by the following calculation formula:

[0022]

[0023] Where Nava(t) represents the number of construction workers at the construction site at time t, and Nplan(t) represents the planned number of construction workers at the construction site at time t;

[0024] The geological condition GC is obtained by the following calculation formula:

[0025]

[0026] Where, Ssoil(t), Trock(t) and Water(t) represent the soil hardness, rock thickness and groundwater depth at time t, respectively; Ssmax, Trmax and Wamax represent the maximum soil hardness, rock thickness and groundwater depth that lead to stopping and suspending construction, respectively;

[0027] The underground condition PU is obtained by the following calculation formula:

[0028] PU=p1*M(t)+p2*e -THmin(t) +p3+ZJmax(t)+p4*JHmax(t);

[0029] Where M(t), THmin(t), ZJmax(t) and JHmax(t) represent the number of pipelines at time t, the minimum fitting distance of pipelines, the maximum diameter of pipelines and the maximum number of pipeline interactions, respectively; e represents an exponential decay function; p1, p2, p3 and p4 represent the preset weight values ​​of the number of pipelines M(t), the minimum fitting distance of pipelines THmin(t), the maximum diameter of pipelines ZJmax(t) and the maximum number of pipeline interactions JHmax(t), respectively; and p1+p2+p3+p4≤1. The specific values ​​are set by the user.

[0030] Preferably, the progress simulation module includes a progress impact calculation unit and a construction progress correction unit;

[0031] The progress impact calculation unit performs fitting according to the feature vector FV1 to obtain the progress impact factor IF at time t, reflecting the impact of external conditions on the construction progress;

[0032] The progress impact factor IF is obtained by the following calculation formula:

[0033]

[0034] Wherein, f1, f2, f3 and f4 represent the preset weight values ​​of weather condition MT, personnel condition PE, geological condition GC and underground condition PU respectively, and f1+f2+f3+f4≤1, and the specific value is set by the user.

[0035] Preferably, the construction progress correction unit corrects the preset construction plan progress PO by using the progress influencing factor IF and the characteristic vector FV1, obtains the corrected predicted construction progress PD, and reflects the fluctuation state of the construction site by predicting the construction progress PD;

[0036] The predicted construction progress PD is obtained by the following calculation formula:

[0037]

[0038] Where PO(t) represents the preset construction schedule of the construction site at time t, e -λ*(PE(t)+η*PU(t)) represents the decay exponential function, specifically represents the introduced nonlinear term, including the influence of the introduced personnel condition PE(t) and underground condition PUPE(t) at time t on the predicted construction progress PD, λ and η represent the adjustment coefficients, specifically used to adjust the influence of different external conditions on the predicted construction progress PD, It represents the nonlinear term related to the geological condition GC(t) and the weather condition MT(t) at time t, sin represents the sine function, β and γ represent the adjustment coefficients of the geological condition GC(t) and the weather condition MT(t) at time t, respectively, which are used to adjust the impact on the predicted construction progress PD.

[0039] Preferably, the conditional impact processing module includes a feedback feature extraction unit and an impact ranking calculation unit;

[0040] The feedback feature extraction unit extracts and processes the problem condition information fed back by on-site construction personnel, wherein the problem condition information is extracted from the information in the feedback information copy of the construction personnel by using natural language processing technology, and the unstructured data is converted into numerical features, including the number of personnel shortages Ql, the number of equipment failures Gl and the number of material shortages Cl, and then the number of personnel shortages Ql, the number of equipment failures Gl and the number of material shortages Cl are normalized to form a feedback feature vector FV2 = {Ql, Gl, Cl}.

[0041] Preferably, the impact ranking calculation unit synchronously merges the feedback feature vector FV2 and the feature vector FV1, obtains the weather condition MT, the personnel condition PE, the geological condition GC, the underground condition PU, the number of personnel shortages Ql, the number of equipment failures Gl and the material shortage Cl, to form a ranking impact condition data group TJZ, and performs traversal calculation to obtain the impact ranking factor Pyz, to form an impact ranking list WLB={Pyz1, Pyz2, ..., Pyzw} of the external impact condition, synchronously sorts and marks the impact ranking list WLB, the sorting includes adjusting the order of the impact ranking list WLB using bubble sort, and marking the adjusted order with subscripts 1 to n, wherein the adjusted order includes adjusting to a descending order;

[0042] The impact ranking factor Pyz is obtained by the following calculation formula:

[0043]

[0044] Wherein, L(t) represents the construction length at time t, C represents the total length of the project construction, w represents the length of the sorting influencing condition data group TJZ, m represents the mth vector in the sorting influencing condition data group TJZ, p,m represents the preset weight value of the mth vector, and TJZ,m represents the mth vector in the sorting influencing condition data group TJZ.

[0045] Preferably, the progress impact processing module establishes a traffic construction site model by using BIM technology, and visualizes the impact sorting list WLB in the traffic construction site model, and simultaneously marks the conditions in the impact sorting list WLB in the corresponding condition working areas in the traffic construction site model, and displays the conditions in the corresponding condition working positions at the traffic construction site, and highlights and visually enhances them. The specific marking method is to mark the impact sorting list WLB according to the preset adaptive marking rules.

[0046] Preferably, the optimization decision module includes a matching unit and a generating unit;

[0047] The matching unit matches a plurality of impact ranking factors Pyz in the impact ranking list WLB with a preset condition impact progress threshold TZ to obtain a matching result RETURN;

[0048] The matching result RETURN is obtained by the following matching method:

[0049]

[0050] When the i-th influence ranking factor Pyz ≥ TZ in the influence ranking list WLB, the matching result RETURN is 1;

[0051] When the ith influence ranking factor Pyz in the influence ranking list WLB is less than TZ, the matching result RETURN is 0.

[0052] Preferably, the generating unit generates a multi-level construction site progress assessment strategy plan according to the matching result RETURN, and notifies and prompts relevant personnel to handle the situation according to the content of the construction site progress assessment strategy plan;

[0053] The construction site progress assessment strategy is obtained by the following generation method:

[0054] When the matching result RETURN=1, the first progress impact assessment plan is generated, indicating that the construction site is abnormal and requires coordination and processing by relevant personnel, including personnel coordination, equipment coordination and material coordination, to restore the construction progress;

[0055] When the matching result RETURN=0, a second progress impact assessment plan is generated, indicating that the progress of the construction site is normal.

[0056] The present invention provides a traffic engineering construction progress management system based on BIM, which has the following beneficial effects:

[0057] (1) When the system is running, a feature vector FV1 is formed through the condition acquisition module, the influencing factor IF of the construction progress is calculated, and the preset construction plan progress PO is dynamically corrected to generate the corrected predicted construction progress PD, so that the construction plan can be continuously optimized according to the actual situation. The feedback feature vector FV2 is formed by using the on-site feedback, and the external and feedback conditions are combined to generate the influence ranking list WLB, and the preset condition influence progress threshold TZ is used to generate a multi-level construction site progress evaluation strategy to provide response plans under different scenarios. It not only overcomes the inadequate response of traditional progress management to emergencies, but also greatly improves the response ability of transportation construction projects in the face of complex external conditions through real-time data collection, dynamic progress correction and automatic decision generation, avoiding major progress delays caused by weather, personnel or equipment, and ensuring the smooth progress of the project.

[0058] (2) By closely combining the dynamic changes of external conditions with the construction progress, accurate prediction and real-time adjustment of the construction progress are achieved. The construction progress correction unit uses the progress influencing factor IF and the characteristic vector FV1 to correct the preset construction plan progress PO and generate the predicted construction progress PD, so that the system can not only accurately estimate the fluctuations in the construction progress, but also make real-time adjustments based on the nonlinear effects of different external conditions. This processing method further enhances the flexibility and adaptability in dealing with complex construction scenarios by introducing complex nonlinear terms and adjustment coefficients, ensuring that even in the event of emergencies or drastic fluctuations in external conditions, accurate progress prediction and dynamic adjustment solutions can be provided.

[0059] (3) By dynamically visualizing the impact ranking list WLB of external conditions and the model of the actual construction site, each condition is marked in its corresponding work area, and the key conditions are highlighted through highlighting and visual enhancement. This visualization method combines the correspondence between the external conditions in the impact ranking list WLB and the actual construction scene, allowing managers to intuitively see the external factors that have the greatest impact on the progress, thereby improving the decision-making efficiency of the construction site. In addition, the optimization decision module matches the conditions in WLB with the preset condition impact progress threshold TZ through the matching unit, generates a matching result RETURN, and the generation unit automatically generates the corresponding construction site progress evaluation strategy plan. The generation mechanism of multiple matching and hierarchical strategies can not only respond to changes in external conditions in real time, but also ensure the efficient operation of the construction site, minimize shutdowns or delays caused by abnormal conditions, and provide guarantees for the continuity of project progress. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 The present invention is a block diagram of a BIM-based transportation engineering construction progress management system. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0062] Example 1

[0063] The present invention provides a traffic engineering construction progress management system based on BIM, please refer to Figure 1 , including condition acquisition module, schedule simulation module, condition impact processing module, schedule impact processing module and optimization decision module;

[0064] The condition acquisition module collects external conditions that affect the construction progress through several channels, including weather conditions, personnel conditions, geological conditions and underground conditions, and forms a feature vector FV1;

[0065] The progress simulation module obtains the progress influencing factor IF at time t by fitting according to the characteristic vector FV1, and uses the progress influencing factor IF to correct the preset construction plan progress PO to obtain the corrected predicted construction progress PD;

[0066] The condition impact processing module extracts and processes the feature information of the problem condition feedback by the on-site construction personnel, obtains the feedback feature vector FV2, calculates the feedback feature vector FV2 and the feature vector FV1 simultaneously, obtains the impact ranking list WLB of the external impact conditions, and simultaneously sorts and marks the impact ranking list WLB;

[0067] The progress impact processing module uses BIM technology to build a traffic construction site model and visualizes the impact ranking list WLB in the traffic construction site model;

[0068] The optimization decision module matches the impact ranking list WLB with the preset conditional impact progress threshold TZ, generates a multi-level construction site progress assessment strategy plan, and notifies and prompts relevant personnel to take action based on the content of the construction site progress assessment strategy plan.

[0069] In this embodiment, the condition acquisition module can comprehensively collect external factors including weather conditions MT, personnel conditions PE, geological conditions GC, and underground conditions PU to form a feature vector FV1, ensuring the real-time and integrity of external condition data. Then, the progress simulation module calculates the influencing factor IF of the construction progress by fitting FV1, and dynamically corrects the preset construction plan progress PO to generate the corrected predicted construction progress PD, so that the construction plan can be continuously optimized according to the actual situation. The condition impact processing module not only uses the on-site feedback to form the feedback feature vector FV2, but also combines the external and feedback conditions to generate the impact ranking list WLB, thereby ensuring that the system can timely identify the most influential external conditions, and visualize them through BIM technology in the progress impact processing module, further helping managers to intuitively grasp the dynamic changes of the construction site. Finally, the optimization decision module combines the impact ranking list WLB with the preset condition impact progress threshold TZ to generate a multi-level construction site progress evaluation strategy and provide response plans under different scenarios. It not only overcomes the inadequate response of traditional progress management to emergencies, but also greatly improves the ability of transportation construction projects to respond to complex external conditions through real-time data collection, dynamic progress correction and automatic decision-making, avoiding major progress delays caused by weather, personnel or equipment factors, and ensuring the smooth progress of the project.

[0070] Example 2

[0071] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the condition acquisition module includes an acquisition unit and a processing unit;

[0072] The acquisition unit collects external condition information at time t through multiple channels, including sensor channels, monitoring system channels and manual input channels. The external condition information includes weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU;

[0073] Weather conditions MT include calculating and obtaining meteorological data related to rainfall R, temperature value T and wind speed value R collected by meteorological sensors;

[0074] Personnel conditions PE includes the number of construction workers at the construction site recorded and uploaded by the statistical personnel access control monitoring system Nava;

[0075] Geological conditions GC includes the use of geological sensors and manual input channels to obtain geological structure data of the construction area, including soil hardness Ssoil, rock thickness Trock and groundwater depth Water, and calculation and acquisition;

[0076] The underground condition PU includes obtaining the pipeline distribution and pipeline quantity M of the underground pipeline using a scanner sensor. The pipeline distribution includes the minimum pipeline fitting distance THmin, the maximum pipeline diameter ZJmax and the maximum number of pipeline interactions JHmax, which are calculated and obtained.

[0077] The processing unit performs data normalization processing and aggregation processing on the weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU obtained at time t, wherein the data normalization processing includes using max-min normalization processing, and the aggregation processing includes integrating the normalized weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU to form a feature vector FV1 = {MT, PE, GC, PU};

[0078] Weather condition MT is obtained by the following calculation formula:

[0079]

[0080] Wherein, R(t), T(t) and W(t) represent the rainfall, temperature and wind speed at time t, respectively; Rmax represents the preset upper limit of rainfall, specifically the rainfall value at which construction is stopped due to rainfall; Tmin and Tmax represent the lower limit of temperature and the upper limit of temperature, respectively, specifically the lowest temperature and the highest temperature at which construction is stopped due to temperature influence; Wmax represents the preset upper limit of wind speed, specifically the maximum wind speed value at which construction is stopped due to risk influence;

[0081] The personnel condition PE is obtained through the following calculation formula:

[0082]

[0083] Where Nava(t) represents the number of construction workers at the construction site at time t, and Nplan(t) represents the planned number of construction workers at the construction site at time t;

[0084] The geological condition GC is obtained by the following calculation formula:

[0085]

[0086] Where, Ssoil(t), Trock(t) and Water(t) represent the soil hardness, rock thickness and groundwater depth at time t, respectively; Ssmax, Trmax and Wamax represent the maximum soil hardness, rock thickness and groundwater depth that lead to stopping and suspending construction, respectively;

[0087] The underground condition PU is obtained by the following calculation formula:

[0088] PU=p1*M(t)+p2*e -THmin(t) +p3+ZJmax(t)+p4*JHmax(t);

[0089] Where M(t), THmin(t), ZJmax(t) and JHmax(t) represent the number of pipelines at time t, the minimum fitting distance of pipelines, the maximum diameter of pipelines and the maximum number of pipeline interactions, respectively; e represents an exponential decay function; p1, p2, p3 and p4 represent the preset weight values ​​of the number of pipelines M(t), the minimum fitting distance of pipelines THmin(t), the maximum diameter of pipelines ZJmax(t) and the maximum number of pipeline interactions JHmax(t), respectively; and p1+p2+p3+p4≤1. The specific values ​​are set by the user.

[0090] In this embodiment, by integrating multi-channel data collection and processing, it is possible to comprehensively collect external condition information of the construction site at time t, including weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU, to ensure that the construction management system has dynamic and real-time monitoring capabilities. In particular, through the collaborative work of sensors, monitoring systems and manual input channels, the system can accurately obtain key data that affect construction, and standardize these heterogeneous data through normalization processing to form a feature vector FV1. In addition, the calculation formula of each external condition is based on the limit value setting that affects the construction, which can help the system quickly determine whether the construction needs to be stopped or adjusted under emergency conditions. This integrated mechanism of real-time monitoring and calculation not only improves the agile response capability to the construction progress, but also can warn the potential impact of external conditions in advance, ensuring efficient linkage and scientific management of each link in the construction process. At the same time, the system allows users to set condition weights according to actual needs, making construction management more flexible and personalized, and fully adapting to the complexity of different traffic construction projects.

[0091] Example 3

[0092] This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically: the progress simulation module includes a progress impact calculation unit and a ,construction progress correction unit;

[0093] The progress impact calculation unit performs fitting based on the eigenvector FV1 to obtain the progress impact factor IF at time t, reflecting the impact of external conditions on the construction progress;

[0094] The progress impact factor IF is obtained through the following calculation formula:

[0095]

[0096] Wherein, f1, f2, f3 and f4 represent the preset weight values ​​of weather condition MT, personnel condition PE, geological condition GC and underground condition PU respectively, and f1+f2+f3+f4≤1, and the specific value is set by the user.

[0097] The construction progress correction unit corrects the preset construction plan progress PO by using the progress influencing factor IF and the characteristic vector FV1, obtains the corrected predicted construction progress PD, and reflects the fluctuation state of the construction site through the predicted construction progress PD;

[0098] The predicted construction progress PD is obtained by the following calculation formula:

[0099]

[0100] Where PO(t) represents the preset construction schedule of the construction site at time t, e -λ*(PE(t)+η*PU(t)) represents the decay exponential function, specifically represents the introduced nonlinear term, including the influence of the introduced personnel condition PE(t) and underground condition PUPE(t) at time t on the predicted construction progress PD, λ and η represent the adjustment coefficients, specifically used to adjust the influence of different external conditions on the predicted construction progress PD, It represents the nonlinear term related to the geological condition GC(t) and the weather condition MT(t) at time t, sin represents the sine function, β and γ represent the adjustment coefficients of the geological condition GC(t) and the weather condition MT(t) at time t, respectively, which are used to adjust the impact on the predicted construction progress PD.

[0101] The conditional influence processing module includes a feedback feature extraction unit and an influence ranking calculation unit;

[0102] The feedback feature extraction unit extracts and processes the problem condition information fed back by on-site construction personnel, wherein the problem condition information is extracted from the information in the feedback information copy of the construction personnel by using natural language processing technology, and the unstructured data is converted into numerical features, including the number of personnel shortages Ql, the number of equipment failures Gl and the number of material shortages Cl. The number of personnel shortages Ql, the number of equipment failures Gl and the number of material shortages Cl are then normalized to form a feedback feature vector FV2 = {Ql, Gl, Cl}.

[0103] The impact ranking calculation unit synchronously merges the feedback feature vector FV2 and the feature vector FV1, obtains the weather condition MT, the personnel condition PE, the geological condition GC, the underground condition PU, the number of personnel shortages Ql, the number of equipment failures Gl and the material shortage Cl, and forms a ranking impact condition data group TJZ, and performs traversal calculation to obtain the impact ranking factor Pyz, and forms an impact ranking list WLB of external impact conditions = {Pyz1, Pyz2, ..., Pyzw}, and synchronously sorts and marks the impact ranking list WLB, and the sorting includes adjusting the order of the impact ranking list WLB using bubble sort, and marking the adjusted order with subscripts 1 to n, wherein the adjusted order includes adjusting to a descending order;

[0104] The impact ranking factor Pyz is obtained by the following calculation formula:

[0105]

[0106] Wherein, L(t) represents the construction length at time t, C represents the total length of the project construction, w represents the length of the sorting influencing condition data group TJZ, m represents the mth vector in the sorting influencing condition data group TJZ, p,m represents the preset weight value of the mth vector, and TJZ,m represents the mth vector in the sorting influencing condition data group TJZ.

[0107] In this embodiment, by closely combining the dynamic changes of external conditions with the construction progress, accurate prediction and real-time adjustment of the construction progress are achieved. The characteristic vector FV1 is fitted and calculated by the progress impact calculation unit to obtain the progress impact factor IF of the construction site at time t, thereby reflecting the direct impact of external conditions on the construction progress. Subsequently, the construction progress correction unit uses the progress impact factor IF and the characteristic vector FV1 to correct the preset construction plan progress PO and generate a predicted construction progress PD, so that the system can not only accurately estimate the fluctuations in the construction progress, but also make real-time adjustments based on the nonlinear effects of different external conditions. This processing method further enhances the flexibility and adaptability of the system in dealing with complex construction scenarios by introducing complex nonlinear terms and adjustment coefficients, ensuring that even in emergencies or drastic fluctuations in external conditions, accurate progress prediction and dynamic adjustment solutions can be provided.

[0108] Example 4

[0109] This embodiment is explained in Example 3, please refer to Figure 1Specifically: The progress impact processing module establishes a traffic construction site model by using BIM technology, and visualizes the impact sorting list WLB in the traffic construction site model, and simultaneously marks the conditions in the impact sorting list WLB in the corresponding conditional working area in the traffic construction site model, and displays the conditions in the corresponding conditional working positions at the traffic construction site, and highlights and visually enhances them. The specific marking method is to mark the adaptive marking rules preset in the impact sorting list WLB.

[0110] The optimization decision module includes a matching unit and a generation unit;

[0111] The matching unit matches the several impact ranking factors Pyz in the impact ranking list WLB with the preset condition impact progress threshold TZ, and obtains the matching result RETURN;

[0112] The matching result RETURN is obtained through the following matching methods:

[0113]

[0114] When the i-th influence ranking factor Pyz ≥ TZ in the influence ranking list WLB, the matching result RETURN is 1;

[0115] When the ith influence ranking factor Pyz in the influence ranking list WLB is less than TZ, the matching result RETURN is 0.

[0116] The generation unit generates a multi-level construction site progress assessment strategy plan according to the matching result RETURN, and notifies and prompts relevant personnel to handle the situation according to the content of the construction site progress assessment strategy plan;

[0117] The construction site progress assessment strategy is obtained through the following generation methods:

[0118] When the matching result RETURN=1, the first progress impact assessment plan is generated, indicating that the construction site is abnormal and requires coordination and processing by relevant personnel, including personnel coordination, equipment coordination and material coordination, to restore the construction progress;

[0119] Among them, personnel coordination includes suggestions for personnel deployment, external personnel supplementation and working hours adjustment;

[0120] Staff deployment suggestions: When it is found that there is a shortage of construction workers in a certain area, it will be recommended to dispatch workers from areas with more sufficient personnel to optimize the distribution of construction personnel to ensure the normal operation of key construction areas;

[0121] External personnel supplementation suggestions: If there is a shortage of personnel on the overall construction site, a suggestion will be issued to notify the project management party to add temporary construction workers or outsource labor resources to supplement the scarce positions through external human resources;

[0122] Suggestions for adjusting working hours: When factors such as weather restrict construction during certain periods of time, it is recommended to adjust the work shifts, such as extending working hours or changing work shifts to make reasonable use of the available construction period;

[0123] Equipment coordination includes equipment failure repair suggestions and equipment scheduling optimization suggestions;

[0124] Equipment failure repair suggestions: The system will analyze the equipment failure situation and determine whether the equipment failure affects the construction by the number of equipment failures Gl in the impact sorting list WLB. If the faulty equipment hinders the key process, the system will recommend repairing or replacing the equipment as soon as possible and dispatch maintenance personnel to the site to repair the equipment;

[0125] Equipment scheduling optimization suggestions: When equipment resources in a construction area are in short supply, the system will suggest allocating equipment from other work areas, or quickly replenishing the shortage of equipment by leasing equipment, ensuring that the construction progress is not limited by equipment resources;

[0126] Material coordination includes suggestions for accelerated material supply, inventory material scheduling and emergency procurement;

[0127] Accelerated supply suggestions: If material supplies do not arrive in time, the system will automatically suggest notifying the supplier to speed up the delivery of materials, and even suggest the use of backup or alternative materials to avoid construction delays;

[0128] Inventory material suggestions: When a construction area is short of materials, the system will suggest allocating materials from other areas with sufficient materials and generate a detailed material allocation plan;

[0129] Emergency procurement suggestions: If the existing material inventory is insufficient, the system will issue an emergency procurement notice, suggesting that the emergency procurement procedure be initiated immediately to purchase urgently needed materials to ensure that construction can continue;

[0130] When the matching result RETURN=0, a second progress impact assessment plan is generated, indicating that the progress of the construction site is normal.

[0131] In this embodiment, by dynamically visualizing the impact ranking list WLB of external conditions and the model of the actual construction site, it is ensured that each condition is marked in its corresponding work area, and the key conditions are highlighted by highlighting and visual enhancement. This visualization method combines the correspondence between the external conditions of the impact ranking list WLB and the actual construction scene, so that managers can intuitively see the external factors that have the greatest impact on the progress, and improve the decision-making efficiency of the construction site. In addition, the optimization decision module matches the conditions in WLB with the preset condition impact progress threshold TZ through the matching unit to generate a matching result RETURN, and the generation unit automatically generates the corresponding construction site progress evaluation strategy plan. When the matching result shows abnormal RETURN=1, the system will promptly generate the first progress impact evaluation plan, prompting the site to coordinate personnel, equipment or materials to ensure that the construction progress is restored; when the matching result shows normal RETURN=0, the system generates a second evaluation plan, prompting that the progress is within a controllable range. This dual matching and hierarchical strategy generation mechanism can not only respond to changes in external conditions in real time, but also ensure the efficient operation of the construction site, minimize the shutdown or delay caused by abnormal conditions, and provide a guarantee for the continuity of the project progress.

[0132] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A BIM-based traffic engineering construction progress management system, characterized by: It includes condition acquisition module, schedule simulation module, condition impact processing module, schedule impact processing module and optimization decision module; The condition acquisition module collects external conditions that affect the construction progress through several channels, including weather conditions, personnel conditions, geological conditions and underground conditions, and forms a feature vector FV1; The progress simulation module obtains the progress influencing factor IF at time t by fitting according to the feature vector FV1, and uses the progress influencing factor IF to correct the preset construction plan progress PO to obtain the corrected predicted construction progress PD; The condition impact processing module extracts and processes the feature information of the problem condition fed back by the on-site construction personnel, obtains the feedback feature vector FV2, synchronously calculates the feedback feature vector FV2 and the feature vector FV1, obtains the impact ranking list WLB of the external impact conditions, and synchronously sorts and marks the impact ranking list WLB; The progress impact processing module establishes a traffic construction site model by using BIM technology, and visualizes the impact ranking list WLB in the traffic construction site model; The optimization decision module matches the impact ranking list WLB with the preset condition impact progress threshold TZ, generates a multi-level construction site progress assessment strategy plan, and notifies and prompts relevant personnel to take action according to the content of the construction site progress assessment strategy plan.

2. A BIM-based traffic engineering construction progress management system according to claim 1, characterized in that: The condition acquisition module includes an acquisition unit and a processing unit; The acquisition unit collects external condition information at time t through multiple channels, including sensor channels, monitoring system channels and manual input channels, and the external condition information includes weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU; The weather condition MT includes calculating and acquiring meteorological data related to rainfall R, temperature value T and wind speed value R collected by meteorological sensors; The personnel condition PE includes the number of construction personnel at the construction site recorded and uploaded by the personnel access control monitoring system Nava; The geological conditions GC include obtaining geological structure data of the construction area using geological sensors and artificial input channels, including soil hardness Ssoil, rock thickness Trock and groundwater depth Water, by calculation; The underground condition PU includes obtaining the pipeline distribution and pipeline quantity M of the underground pipeline using a scanner sensor, wherein the pipeline distribution includes the minimum pipeline fitting distance THmin, the maximum pipeline diameter ZJmax and the maximum pipeline interaction quantity JHmax, which are calculated and obtained.

3. A BIM-based traffic engineering construction progress management system according to claim 2, characterized in that: The processing unit performs data normalization processing and aggregation processing on the weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU acquired at time t, wherein the data normalization processing includes using max-min normalization processing, and the aggregation processing includes integrating the normalized weather conditions MT, personnel conditions PE, geological conditions GC and underground conditions PU to form a feature vector FV1 = {MT, PE, GC, PU}; The weather condition MT is obtained by the following calculation formula: Wherein, R(t), T(t) and W(t) represent the rainfall, temperature and wind speed at time t, respectively; Rmax represents the preset rainfall upper limit; Tmin and Tmax represent the temperature lower limit and temperature upper limit, respectively; Wmax represents the preset wind speed upper limit; m1, m2 and m3 represent the calculation results of the rainfall R(t) at time t and the rainfall upper limit Rmax, the calculation results of the temperature T(t) at time t and the temperature lower limit Tmin and temperature upper limit Tmax, and the preset weight values ​​of the wind speed W(t) at time t and the wind speed upper limit Wmax, respectively; and m1+m2+m3≤1, and the specific value is set by the user; The personnel condition PE is obtained by the following calculation formula: Where Nava(t) represents the number of construction workers at the construction site at time t, and Nplan(t) represents the planned number of construction workers at the construction site at time t; The geological condition GC is obtained by the following calculation formula: Wherein, Ssoil(t), Ssoil(t) and Water(t) represent the soil hardness, rock thickness and groundwater depth at time t, respectively; Ssmax, Trmax and Wamax represent the maximum soil hardness, rock thickness and groundwater depth that affect the stopping and suspending of construction, respectively; g1, g2 and g3 represent the preset weight values ​​of the soil hardness Ssoil(t) and the maximum soil hardness Ssmax at time t, the rock thickness Ssoil(t) and the maximum rock thickness Trmax at time t, and the groundwater depth Water(t) and the maximum groundwater depth Wamax at time t, respectively; and g1+g2+g3≤1, and the specific value is set by the user; The underground condition PU is obtained by the following calculation formula: PU=p1*M(t)+p2*e -THmin(t) +p3+ZJmax(t)+p4*JHmax(t); Where M(t), THmin(t), ZJmax(t) and JHmax(t) represent the number of pipelines at time t, the minimum fitting distance of pipelines, the maximum diameter of pipelines and the maximum number of pipeline interactions, respectively; e represents an exponential decay function; p1, p2, p3 and p4 represent the preset weight values ​​of the number of pipelines M(t), the minimum fitting distance of pipelines THmin(t), the maximum diameter of pipelines ZJmax(t) and the maximum number of pipeline interactions JHmax(t), respectively; and p1+p2+p3+p4≤1. The specific values ​​are set by the user.

4. A BIM-based traffic engineering construction progress management system according to claim 3, characterized in that: The progress simulation module includes a progress impact calculation unit and a construction progress correction unit; The progress impact calculation unit performs fitting according to the feature vector FV1 to obtain the progress impact factor IF at time t, reflecting the impact of external conditions on the construction progress; The progress impact factor IF is obtained by the following calculation formula: Wherein, f1, f2, f3 and f4 represent the preset weight values ​​of weather condition MT, personnel condition PE, geological condition GC and underground condition PU respectively, and f1+f2+f3+f4≤1, and the specific value is set by the user.

5. A BIM-based traffic engineering construction progress management system according to claim 4, characterized in that: The construction progress correction unit corrects the preset construction plan progress PO by using the progress influencing factor IF and the characteristic vector FV1, obtains the corrected predicted construction progress PD, and reflects the fluctuation state of the construction site through the predicted construction progress PD; The predicted construction progress PD is obtained by the following calculation formula: Where PO(t) represents the preset construction schedule of the construction site at time t, e -λ*(PE(t)+η*PU(t)) represents the decay exponential function, specifically represents the introduced nonlinear term, including the influence of the introduced personnel condition PE(t) and underground condition PUPE(t) at time t on the predicted construction progress PD, λ and η represent the adjustment coefficients, specifically used to adjust the influence of different external conditions on the predicted construction progress PD, It represents the nonlinear term related to the geological condition GC(t) and the weather condition MT(t) at time t, sin represents the sine function, β and γ represent the adjustment coefficients of the geological condition GC(t) and the weather condition MT(t) at time t, respectively, which are used to adjust the impact on the predicted construction progress PD.

6. A BIM-based traffic engineering construction progress management system according to claim 5, characterized in that: The conditional impact processing module includes a feedback feature extraction unit and an impact ranking calculation unit; The feedback feature extraction unit extracts and processes the problem condition information fed back by on-site construction personnel, wherein the problem condition information is extracted from the information in the feedback information copy of the construction personnel by using natural language processing technology, and the unstructured data is converted into numerical features, including the number of personnel shortages Ql, the number of equipment failures Gl and the number of material shortages Cl, and then the number of personnel shortages Ql, the number of equipment failures Gl and the number of material shortages Cl are normalized to form a feedback feature vector FV2 = {Ql, Gl, Cl}.

7. A BIM-based traffic engineering construction progress management system according to claim 6, characterized in that: The impact ranking calculation unit synchronously merges the feedback feature vector FV2 and the feature vector FV1, obtains the weather condition MT, the personnel condition PE, the geological condition GC, the underground condition PU, the number of personnel shortages Ql, the number of equipment failures Gl and the material shortage Cl, and forms a ranking impact condition data group TJZ, and performs traversal calculation to obtain the impact ranking factor Pyz, and forms an impact ranking list WLB={Pyz1, Pyz2, ..., Pyzw} of the external impact condition, and synchronously sorts and marks the impact ranking list WLB, the sorting includes adjusting the order of the impact ranking list WLB using bubble sort, and marking the adjusted order with subscripts 1 to n, wherein the adjusted order includes adjusting to a descending order; The impact ranking factor Pyz is obtained by the following calculation formula: Wherein, L(t) represents the construction length at time t, C represents the total length of the project construction, w represents the length of the sorting influencing condition data group TJZ, m represents the mth vector in the sorting influencing condition data group TJZ, p,m represents the preset weight value of the mth vector, and TJZ,m represents the mth vector in the sorting influencing condition data group TJZ.

8. A BIM-based traffic engineering construction progress management system according to claim 7, characterized in that: The progress impact processing module establishes a traffic construction site model by using BIM technology, and visualizes the impact sorting list WLB in the traffic construction site model, and simultaneously marks the conditions in the impact sorting list WLB in the corresponding conditional work area in the traffic construction site model, and displays the conditions in the corresponding conditional work positions at the traffic construction site, and highlights and visually enhances them. The specific marking method is to mark the impact sorting list WLB by presetting the adaptive marking rules.

9. The BIM-based traffic engineering construction progress management system according to claim 1, characterized in that: The optimization decision module includes a matching unit and a generation unit; The matching unit matches a plurality of impact ranking factors Pyz in the impact ranking list WLB with a preset condition impact progress threshold TZ to obtain a matching result RETURN; The matching result RETURN is obtained by the following matching method: When the i-th influence ranking factor Pyz ≥ TZ in the influence ranking list WLB, the matching result RETURN is 1; When the ith influence ranking factor Pyz in the influence ranking list WLB is less than TZ, the matching result RETURN is 0.

10. A BIM-based traffic engineering construction progress management system according to claim 9, characterized in that: The generating unit generates a multi-level construction site progress assessment strategy plan according to the matching result RETURN, and notifies and prompts relevant personnel to handle the situation according to the content of the construction site progress assessment strategy plan; The construction site progress assessment strategy is obtained by the following generation method: When the matching result RETURN=1, the first progress impact assessment plan is generated, indicating that the construction site is abnormal and requires coordination and processing by relevant personnel, including personnel coordination, equipment coordination and material coordination, to restore the construction progress; When the matching result RETURN=0, a second progress impact assessment plan is generated, indicating that the progress of the construction site is normal.

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