A highway noise insulation wall construction simulation system based on BIM

Abstract

The present invention relates to the technical field of construction simulation, and specifically to a highway sound insulation wall construction simulation system based on BIM, wherein the system comprises a real-time data monitoring module, a resource demand prediction module, a resource optimization allocation module, and a construction risk assessment module. The present invention improves the accuracy and efficiency of construction resource management through BIM technology combined with real-time monitoring and historical data analysis, makes resource allocation and demand prediction more accurate, directly reduces waste and improves resource utilization efficiency, dynamically adjusts the construction plan to adapt to site changes, ensures the optimization of construction progress and cost control, and can respond quickly to potential problems through real-time identification and evaluation of risk factors, assists management personnel in formulating countermeasures in advance, reduces project risks and ensures construction safety, enhances the flexibility of project management, effectively supports the decision-making process, and ensures that the construction project can be successfully completed within the budget and time frame.

Description

Technical Field

[0001] The present invention relates to the technical field of construction simulation, and in particular to a highway sound insulation wall construction simulation system based on BIM. Background Art

[0002] The field of construction simulation technology mainly involves the use of computer-aided design and simulation software to predict the construction process of building and engineering projects. This technology allows engineers and project managers to simulate the various stages of the engineering project in detail before the actual construction. With construction simulation, material requirements, labor requirements, costs, and project schedules can be effectively predicted. In addition, construction simulation helps to identify possible construction problems and bottlenecks, so that solutions can be planned in advance to reduce project delays and overruns.

[0003] Among them, the highway noise insulation wall construction simulation system simulates the design and construction management of highway noise insulation walls, analyzes the construction process of noise insulation walls, simulates various construction scenarios, helps the project team predict technical and management problems that may be encountered during construction, and formulates countermeasures in advance. The main purpose of the system is to optimize the design of highway noise insulation walls, ensure construction quality and progress, reduce costs and time consumption, and improve the overall efficiency and environmental adaptability of highway projects.

[0004] Traditional construction simulation systems are inadequate in real-time data processing and instant adjustments. For example, traditional simulation methods cannot effectively adapt to rapidly changing construction conditions and other issues. This results in insufficient flexibility and responsiveness in construction plans, increasing the risk of project delays. In terms of resource allocation and risk management, existing methods lack strategies to adapt to real-time scenario changes, and resource allocation is relatively fixed, resulting in uneven resource allocation and risk response measures that often lag behind actual needs, affecting construction efficiency, leading to safety hazards, and increasing overall project costs. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and propose a highway noise insulation wall construction simulation system based on BIM.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a highway noise insulation wall construction simulation system based on BIM, the system comprising:

[0007] The real-time data monitoring module is based on the real-time data of the highway noise insulation wall construction site. The real-time data includes the location of workers and the inventory of materials. It uses BIM technology to analyze historical construction data, calculate resource consumption rates, analyze construction resource waste, and generate resource usage information.

[0008] The resource demand forecasting module analyzes data change trends based on the resource usage and historical construction records, calculates the construction progress in the future period, and forecasts the construction resource demand in the corresponding period to generate resource demand forecast information;

[0009] The resource optimization allocation module calculates the construction priority of the differentiated construction area based on the resource demand forecast information, analyzes the deviation between the current resource allocation and future demand of the corresponding area, and reallocates the construction resources to obtain the optimized resource allocation information;

[0010] The construction risk assessment module analyzes the risk factors in the construction process of the highway sound insulation wall based on the optimized resource allocation information, the risk factors include weather changes and material delays, assesses the impact of the risk factors on the construction progress of the sound insulation wall, updates the risk level of the construction, and obtains the risk assessment results.

[0011] The present invention is improved in that the steps of obtaining the resource usage are:

[0012] Based on the real-time data of the highway noise insulation wall construction site, the historical construction data was analyzed through BIM technology, and the formula was used:

[0013]

[0014] Accumulate the consumption of each resource at different time points to obtain the total historical consumption of each resource;

[0015] in, Indicates The total historical consumption of these resources, Indicates The record of The consumption of resources, is the number of historical records;

[0016] Based on real-time data from the highway noise wall construction site, including worker locations and material inventory, the formula:

[0017]

[0018] Calculate the current resource consumption rate;

[0019] in, Indicates Resource consumption rate, Indicates the current The record of The consumption of resources, is the number of real-time records, Indicates the statistical time period;

[0020] Based on the total historical consumption of the resource and the current resource consumption rate, the formula is:

[0021]

[0022] Calculate resource waste rate, analyze construction resource waste, and generate resource usage information;

[0023] in, Indicates The waste rate of resources, is the threshold value, is the base of natural logarithms, Indicates Resource consumption rate, Indicates The total historical consumption of this resource.

[0024] The present invention is improved in that the method for calculating the construction progress in the future period is:

[0025] Based on the resource usage, extract the total historical consumption of each resource , Resource consumption rate and resource waste rate , combined with historical construction records, calculate the historical average construction rate ;

[0026] Based on the historical average construction rate , through the formula:

[0027]

[0028] Adjust the construction rate, map the current construction rate, and get the adjusted construction rate ;

[0029] in, , and is the adjustment factor, is the total historical consumption, is the resource consumption rate, is the resource waste rate, Indicates the deviation between the current resource consumption rate and the historical resource consumption rate. Indicates the deviation between the current resource waste rate and the historical resource waste rate, is the historical average construction rate, is the adjusted construction rate;

[0030] Based on the adjusted construction rate , through the formula:

[0031]

[0032] Calculate construction progress for future periods ;

[0033] in, Indicates the length of the future period, Indicates the adjusted construction rate To perform integration, is the adjusted construction rate.

[0034] The present invention is improved in that the step of obtaining the resource demand forecast information is:

[0035] Based on the resource usage, extract the resource consumption rate and resource waste rate , combined with the construction progress in the future period , build basic data set;

[0036] Based on the basic data set, the formula is:

[0037]

[0038] Calculate resource demand in future time periods and obtain resource demand forecast information;

[0039] in, It is the environmental influencing factor. is the construction progress in the future period, is the resource consumption rate, is the resource waste rate, is the resource demand.

[0040] The present invention is improved in that the method for calculating the construction priority of the differentiated construction area is:

[0041] Based on the resource demand forecast information, the formula is:

[0042]

[0043] Calculate resource urgency and assess the urgency of resources in the construction area;

[0044] in, Represents resource urgency, is the regional predicted resource demand, is the current amount of available resources in the region;

[0045] Based on the resource urgency , combined with the strategic importance of regional construction , through the formula:

[0046]

[0047] Calculate construction priorities;

[0048] in, Represents resource urgency, The strategic importance of regional construction, For external environmental factors, For the construction period, Priority for construction.

[0049] The present invention is improved in that the step of obtaining the optimized resource configuration information is:

[0050] Based on the construction priorities , analyze the areas that need priority resource adjustments, and combine the current resource allocation of the area and forecast demand , identifying areas of excess and shortage of resources;

[0051] Based on the areas of resource surplus and resource shortage, the formula is:

[0052]

[0053] Calculate resource adjustment rate and adjust resource allocation to obtain optimized resource allocation information;

[0054] in, is the amount of resources currently available in the region, The resource demand predicted for the region, is the adjustment factor, is the volatility of regional demand, is the stability coefficient of global resource availability, is the resource adjustment rate.

[0055] The present invention is improved in that the method for evaluating the impact of risk factors on the construction progress of the sound insulation wall is:

[0056] Based on the optimized resource allocation information, data on risk factors encountered during the construction process are collected, the risk factor data including historical records and forecast information on weather changes and material delays;

[0057] Based on the risk factor data, the formula:

[0058]

[0059] Calculate the construction delay time caused by risk factors and evaluate the impact of risk factors on the construction progress of the sound insulation wall;

[0060] in, is the probability of occurrence of risk events, is the average delay time caused by risk events, is the adjustment coefficient, is an external influencing factor, Delayed construction time.

[0061] The present invention is improved in that the steps of obtaining the risk assessment results are:

[0062] Based on the construction delay time , through the formula:

[0063]

[0064] Calculating risk value ;

[0065] in, Represents the risk value, Due to construction delays, is the offset, is the attenuation coefficient, To adjust the parameters;

[0066] Based on the risk value , the risk value Compare with the preset risk level, adjust the construction risk level, and obtain the risk assessment result.

[0067] Compared with the prior art, the advantages and positive effects of the present invention are:

[0068] In the present invention, the accuracy and efficiency of construction resource management are improved by combining BIM technology with real-time monitoring and historical data analysis, making resource allocation and demand forecasting more accurate, directly reducing waste and improving resource utilization efficiency, dynamically adjusting the construction plan to adapt to on-site changes, ensuring the optimization of construction progress and cost control, and through real-time identification and evaluation of risk factors, being able to respond quickly to potential problems, assisting managers in formulating countermeasures in advance, reducing project risks and ensuring construction safety, enhancing the flexibility of project management, and effectively supporting the decision-making process to ensure that construction projects can be successfully completed within the budget and time frame. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a system flow chart of the present invention;

[0070] Figure 2 A flow chart for obtaining resource usage for the present invention;

[0071] Figure 3 A flow chart for calculating the construction progress of a future period for the present invention;

[0072] Figure 4A flow chart for obtaining resource demand forecast information for the present invention;

[0073] Figure 5 A flow chart for calculating construction priorities of differentiated construction areas for the present invention;

[0074] Figure 6 A flow chart for obtaining optimized resource configuration information for the present invention;

[0075] Figure 7 A flow chart for evaluating the impact of risk factors on the construction progress of the sound insulation wall according to the present invention;

[0076] Figure 8 Flowchart for obtaining risk assessment results for the present invention. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0078] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0079] Example

[0080] See also Figure 1 The present invention provides a technical solution: a highway noise insulation wall construction simulation system based on BIM, the system comprising:

[0081] The real-time data monitoring module is based on the real-time data of the highway noise insulation wall construction site. The real-time data includes the location of workers and the inventory of materials. It uses BIM technology to analyze historical construction data, calculate resource consumption rates, analyze construction resource waste, and generate resource usage information.

[0082] The resource demand forecasting module analyzes data change trends based on resource usage and historical construction records, calculates the construction progress in the future period, and predicts the construction resource demand in the corresponding period to generate resource demand forecast information;

[0083] The resource optimization allocation module calculates the construction priority of the differentiated construction area based on the resource demand forecast information, analyzes the deviation between the current resource allocation and future demand of the corresponding area, reallocates the construction resources, optimizes the use of resources in the differentiated construction area, and obtains the optimized resource allocation information;

[0084] The construction risk assessment module analyzes the risk factors in the construction process of highway sound insulation walls based on the optimized resource allocation information. The risk factors include weather changes and material delays. It evaluates the impact of risk factors on the construction progress of the sound insulation walls. According to the impact assessment results, the risk level of the construction is updated to obtain the risk assessment results.

[0085] Resource usage includes real-time resource consumption rate and resource waste rate; resource demand forecast information includes resource demand and forecast error; optimized resource allocation information includes adjusted manpower deployment, material usage and machinery utilization information; and risk assessment results include risk level classification and key risk factors.

[0086] See also Figure 2 , the steps to obtain resource usage are:

[0087] Based on the real-time data of the highway noise insulation wall construction site, the historical construction data was analyzed through BIM technology, and the formula was used:

[0088]

[0089] Accumulate the consumption of each resource at different time points to obtain the total historical consumption of each resource;

[0090] in, Indicates The total historical consumption of these resources, Indicates The record of The consumption of resources, is the number of historical records;

[0091] Based on real-time data from the highway noise wall construction site, including worker locations and material inventory, the formula:

[0092]

[0093] Calculate the current resource consumption rate;

[0094] in, Indicates Resource consumption rate, Indicates the current The record of The consumption of resources, is the number of real-time records, Indicates the statistical time period;

[0095] Based on the total historical resource consumption and the current resource consumption rate, the formula is:

[0096]

[0097] Calculate resource waste rate, analyze construction resource waste, and generate resource usage information;

[0098] in, Indicates The waste rate of resources, is the threshold value, is the base of natural logarithms, Indicates Resource consumption rate, Indicates The total historical consumption of this resource.

[0099] formula:

[0100]

[0101] The meaning and acquisition method of parameters:

[0102] : No. The record of The consumption of a resource is expressed in In the construction record, The consumption of various resources can be directly extracted from the historical construction data to obtain the resource consumption value of each record.

[0103] :Current The record of The consumption of a resource is represented by the The first recorded The resource consumption is directly obtained from real-time monitoring, and the resource usage is recorded each time.

[0104] : The statistical time period is used to calculate the time window of the real-time consumption rate. It is determined according to the real-time monitoring settings and is usually a fixed period.

[0105] :The threshold value set based on historical data is used to adjust the sensitivity of the resource waste rate. It is a proportional factor obtained based on historical data analysis and is determined based on statistical indicators such as the historical average or median of resource consumption.

[0106] Calculation example:

[0107] Assume the following data:

[0108] Historical consumption data :

[0109] Real-time consumption data :

[0110] Time period : 1

[0111] calculate :

[0112]

[0113] calculate :

[0114]

[0115] set up for ,calculate :

[0116]

[0117] The calculation process shows the calculation process from basic data to final results. Each parameter has a clear source and calculation logic, which meets the needs of actual construction monitoring and resource management.

[0118] See also Figure 3 , the method for calculating the construction progress in the future period is:

[0119] Based on resource usage, extract the total historical consumption of each resource , Resource consumption rate and resource waste rate , combined with historical construction records, calculate the historical average construction rate ;

[0120] Based on historical average construction rates , through the formula:

[0121]

[0122] Adjust the construction rate, map the current construction rate, and get the adjusted construction rate ;

[0123] in, , and is the adjustment factor, is the total historical consumption, is the resource consumption rate, is the resource waste rate, Indicates the deviation between the current resource consumption rate and the historical resource consumption rate. Indicates the deviation between the current resource waste rate and the historical resource waste rate, is the historical average construction rate, is the adjusted construction rate;

[0124] Based on the adjusted construction rate , through the formula:

[0125]

[0126] Calculate construction progress for future periods ;

[0127] in, Indicates the length of the future period, Indicates the adjusted construction rate To perform integration, is the adjusted construction rate.

[0128] formula:

[0129]

[0130] Parameter meaning and acquisition method:

[0131] Historical average construction rate : Indicates the average speed of completing projects per unit time in past projects. By collecting construction data of past projects, including the total working hours and the amount of work completed for each project, the average construction rate of all projects is calculated. For example, if the total amount of work on a project is 1,000 units and the total working hours are 500 hours, the construction rate is Unit / hour.

[0132] Historical consumption : Represents the cumulative usage of all resources in past projects, obtained through previous steps.

[0133] Resource consumption rate and resource waste rate : Indicates the resource usage rate per unit time. Reflects the proportion of resource loss during the construction process, obtained through the previous steps.

[0134] Adjustment factor , and : Coefficients are used to adjust the construction rate to reflect the impact of changes in resource consumption and waste on the construction rate. Based on historical data analysis, the values ​​of these coefficients are determined through regression models to best adapt to data changes.

[0135] Calculation example:

[0136] Assume the following parameter values ​​and data:

[0137] Units / hour (Historical average construction rate)

[0138] Unit (total historical consumption)

[0139] Units / hour (resource consumption rate)

[0140] (Resource waste rate)

[0141] Units / hour (consumption rate increased)

[0142] (waste rate reduced by 5%)

[0143] , ,

[0144] Calculate the adjusted construction rate :

[0145]

[0146] Calculate construction progress for future periods Assuming the future period is one month, or approximately 720 hours (30 days x 24 hours / day). is a constant (in short-term forecasts it is often assumed that the construction rate remains constant), the integral becomes simple:

[0147]

[0148] Substitute the numbers to do the calculation:

[0149]

[0150] The calculation results show that under the assumed conditions, a total of 78,048 units of work are expected to be completed in the next month. The results provide a basic progress forecast for project management, helping decision makers to arrange resources and adjust construction plans.

[0151] See also Figure 4, the steps to obtain resource demand forecast information are:

[0152] Extract resource consumption rate based on resource usage and resource waste rate , combined with the construction progress in the future period , build basic data set;

[0153] Based on the basic data set, through the formula:

[0154]

[0155] Calculate resource demand in future time periods and obtain resource demand forecast information;

[0156] in, It is the environmental influencing factor. is the construction progress in the future period, is the resource consumption rate, is the resource waste rate, is the resource demand.

[0157] formula:

[0158]

[0159] The meaning and acquisition method of parameters:

[0160] : The predicted future construction progress, which represents the amount of work expected to be completed in the future time period, obtained through the previous steps.

[0161] : The consumption rate of resources, obtained through the previous steps.

[0162] : Resource waste rate, which indicates the proportion of resource loss caused by various factors, obtained through the previous steps.

[0163] :Environmental impact factor, which represents the impact of external environmental changes on resource demand, is set based on environmental research data and industry standards and is preset by experts according to actual conditions. For example, if rainy and snowy weather will cause an additional 5% increase in material damage or loss, then Set it to 0.05, and the influence of this part needs to be taken into account in the calculation process.

[0164] Calculation example:

[0165] Assume the following parameter values:

[0166] (Expected future construction volume)

[0167] (Resource consumption rate)

[0168] (10% resource waste rate)

[0169] (Environmental factors cause a 5% change in resource requirements)

[0170] According to the improved formula , and calculate:

[0171] Calculate the corrected consumption rate:

[0172]

[0173] Consider environmental factors:

[0174]

[0175] Calculate the total resource requirements:

[0176]

[0177] The calculation process shows how to combine project forecasts, resource consumption, waste rate and environmental factors to accurately estimate future resource requirements. This ensures accurate control of resource planning, reduces resource waste and adapts to environmental changes.

[0178] See also Figure 5 , the method for calculating the construction priority of differentiated construction areas is:

[0179] Based on the resource demand forecast information, the formula is:

[0180]

[0181] Calculate resource urgency and assess the urgency of resources in the construction area;

[0182] in, Represents resource urgency, is the regional predicted resource demand, is the current amount of available resources in the region;

[0183] Based on resource urgency , combined with the strategic importance of regional construction , through the formula:

[0184]

[0185] Calculate construction priorities;

[0186] in, Represents resource urgency, The strategic importance of the construction area is set by the project management team. For external environmental factors, For the construction period, is the construction priority, a higher value indicates a higher priority.

[0187] formula:

[0188]

[0189] The meaning and acquisition method of parameters:

[0190] : The predicted resource demand, which indicates the total amount of resources expected to be required in a specific area to complete the construction task, obtained through the previous steps.

[0191] :Currently available resources, indicating the total amount of resources that are immediately available in a specific area, comes from real-time inventory data from the resource management system.

[0192] :The strategic importance of regional construction reflects the impact of regional construction projects on the overall project progress and success, and is set by the project management team based on the strategic significance and priority of the project.

[0193] :External environmental factors represent the impact of external environmental changes on resource demand forecasts and are set through environmental analysis reports or experts.

[0194] :Construction period is preset according to the construction objectives.

[0195] Calculation example:

[0196] Assume the following parameter values ​​for calculation:

[0197] Unit (Regional Requirements)

[0198] Units (available resources)

[0199] (Construction importance coefficient)

[0200] (External environmental influence)

[0201] Month (Construction period)

[0202] Calculating resource urgency :

[0203]

[0204] The result is a construction priority score that takes into account resource urgency, strategic importance, and the combined impact of external environment and historical adjustments. This comprehensive score helps the project management team optimize resource allocation and ensure that strategically important areas receive the necessary resource support.

[0205] See also Figure 6 , the steps to obtain the optimized resource configuration information are:

[0206] Based on construction priorities , analyze the areas that need priority resource adjustments, and combine the current resource allocation of the area and forecast demand , identifying areas of excess and shortage of resources;

[0207] Based on the areas of resource surplus and resource shortage, the formula is:

[0208]

[0209] Calculate resource adjustment rate and adjust resource allocation to obtain optimized resource allocation information;

[0210] in, is the amount of resources currently available in the region, The resource demand predicted for the region, is the adjustment factor, is the volatility of regional demand, is the stability coefficient of global resource availability, is the resource adjustment rate.

[0211] formula:

[0212]

[0213] The meaning and acquisition method of parameters:

[0214] :Currently available resources, indicating the total amount of resources that are immediately available in a specific area, comes from real-time inventory data from the resource management system.

[0215] : The predicted resource demand, which indicates the total amount of resources expected to be required in a specific area to complete the construction task, obtained through the previous steps.

[0216] : Adjustment factors, which reflect the urgency of regional demand and the flexibility of resource allocation, are set by the management team based on the region’s resource allocation history and demand urgency.

[0217] : Regional demand volatility, used to adjust the resource allocation risk caused by demand uncertainty, is set by analyzing historical demand data. For example, for projects of the same scale, the fluctuation range of materials consumed by different construction teams is 30%. Can be set to 0.3.

[0218] : Global resource availability stability coefficient, used to adjust the impact of global resource changes on local resource allocation, preset by experts. For example, when the inventory resource scheduling ratio exceeds 50%, the normal resource supply will be unstable. Can be set to 0.5.

[0219] Calculation example:

[0220] Assume the following parameter values ​​for calculation:

[0221] Units (available resources)

[0222] Unit (Regional Requirements)

[0223] (Adjustment Factor)

[0224] (Demand volatility)

[0225] (Resource stability coefficient)

[0226] Calculate the absolute value and square root of the resource difference:

[0227]

[0228] Substitute the parameters into the optimization formula:

[0229]

[0230] The calculation results represent the optimized resource allocation information, which takes into account the nonlinear characteristics of resource differences and improves the accuracy and flexibility of resource allocation by adjusting the regional demand volatility and the global resource stability coefficient.

[0231] See also Figure 7 , the method to evaluate the impact of risk factors on the construction progress of the sound insulation wall is:

[0232] Based on the optimized resource allocation information, data on risk factors encountered during the construction process are collected. The risk factor data includes historical records and forecast information on weather changes and material delays.

[0233] Based on the risk factor data, the formula:

[0234]

[0235] Calculate the construction delay time caused by risk factors and evaluate the impact of risk factors on the construction progress of the sound insulation wall;

[0236] in, is the probability of occurrence of risk events, obtained by analyzing historical data and recent trends. is the average delay time caused by risk events, calculated based on historical cases and expert evaluation. is the adjustment coefficient, used to adjust external influencing factors Sensitivity to the effects of construction delays, is an external influencing factor, Delayed construction time.

[0237] formula:

[0238]

[0239] The meaning and acquisition method of parameters:

[0240] : The probability of a risk event, which indicates the likelihood of a specific risk event occurring, is calculated by analyzing historical meteorological data and supply chain records and counting the frequency of specific events occurring in the past.

[0241] :The average delay time caused by risk events. When a specified risk event occurs, the average expected construction delay time is calculated based on the data on the actual impact of such risk events in historical construction records.

[0242] : Adjustment coefficient, used to adjust external influencing factors The sensitivity of the results is usually set in advance or adjusted based on past experience to ensure the model's adaptability to environmental changes.

[0243] : External influencing factors reflect the external conditions that affect the impact of risk events and are set by evaluating the current external environment and system capabilities, such as the meteorological warning response level or logistics response speed.

[0244] Calculation example:

[0245] Assume the following parameter values:

[0246] (Probability of construction delays caused by weather changes)

[0247] Days (average delay due to weather changes)

[0248] (Probability of construction delays caused by material delays)

[0249] Days (average delay due to material delays)

[0250] (Adjustment coefficient)

[0251] (External influencing factors, indicating that the current external environment is relatively stable)

[0252] Calculate the total delay time according to the improved formula :

[0253]

[0254] The calculation example shows how to estimate the possible construction delay time by combining the probability and impact of risk factors, taking into account changes in the external environment, through a specific mathematical model.

[0255] See also Figure 8 , the steps to obtain the risk assessment results are:

[0256] Based on construction delays , through the formula:

[0257]

[0258] Calculating risk value ;

[0259] in, Represents the risk value, Due to construction delays, is the offset, is the attenuation coefficient, To adjust the parameters;

[0260] Based on risk value , the risk value Compare with the preset risk level, adjust the construction risk level, and obtain the risk assessment result.

[0261] formula:

[0262]

[0263] The meaning and acquisition method of parameters:

[0264] : Construction delay time, obtained through previous steps.

[0265] : Baseline sensitivity adjustment parameter, which is used to adjust the sensitivity of the risk value to the delay time. It is adjusted to match the actual response of the project to the risk based on data analysis of past construction projects.

[0266] : offset, a small value added to the calculation to avoid To solve the problem of the denominator tending to zero when the value is very small, set a small constant, which is usually determined based on the project size or expected risk level.

[0267] : Attenuation coefficient, which represents the rate at which the risk value decreases as the delay time increases. It is determined through statistical analysis of historical risk events and impacts to ensure that the calculation results truly reflect the changes in risk over time.

[0268] Calculation example:

[0269] Assume the following parameter values:

[0270]

[0271] Calculate the risk value according to the improved formula :

[0272]

[0273] The calculation example shows how to calculate the risk value from the total delay time caused by known risk factors.

[0274] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A highway noise insulation wall construction simulation system based on BIM, characterized in that: The system comprises: The real-time data monitoring module is based on the real-time data of the highway noise insulation wall construction site. The real-time data includes the location of workers and the inventory of materials. It uses BIM technology to analyze historical construction data, calculate resource consumption rates, analyze construction resource waste, and generate resource usage information. The resource demand forecasting module analyzes data change trends based on the resource usage and historical construction records, calculates the construction progress in the future period, and forecasts the construction resource demand in the corresponding period to generate resource demand forecast information; The method for calculating the construction progress in the future period is: Based on the resource usage, extract the total historical consumption of each resource , Resource consumption rate and resource waste rate , combined with historical construction records, calculate the historical average construction rate ; Based on the historical average construction rate , through the formula: Adjust the construction rate, map the current construction rate, and get the adjusted construction rate ; in, , and is the adjustment factor, is the total historical consumption, is the resource consumption rate, is the resource waste rate, Indicates the deviation between the current resource consumption rate and the historical resource consumption rate. Indicates the deviation between the current resource waste rate and the historical resource waste rate, is the historical average construction rate, is the adjusted construction rate; Based on the adjusted construction rate , through the formula: Calculate construction progress for future periods ; in, Indicates the length of the future period, Indicates the adjusted construction rate To perform integration, is the adjusted construction rate; The steps for obtaining the resource demand forecast information are: Based on the resource usage, extract the resource consumption rate and resource waste rate , combined with the construction progress in the future period , build basic data set; Based on the basic data set, the formula is: Calculate resource demand in future time periods and obtain resource demand forecast information; in, It is the environmental influencing factor. is the construction progress in the future period, is the resource consumption rate, is the resource waste rate, is the resource demand; The resource optimization allocation module calculates the construction priority of the differentiated construction area based on the resource demand forecast information, analyzes the deviation between the current resource allocation and future demand of the corresponding area, and reallocates the construction resources to obtain the optimized resource allocation information; The construction risk assessment module analyzes the risk factors in the construction process of the highway sound insulation wall based on the optimized resource allocation information, the risk factors include weather changes and material delays, assesses the impact of the risk factors on the construction progress of the sound insulation wall, updates the risk level of the construction, and obtains the risk assessment results.

2. The highway noise insulation wall construction simulation system based on BIM according to claim 1 is characterized in that: The steps for obtaining the resource usage are as follows: Based on the real-time data of the highway noise insulation wall construction site, the historical construction data was analyzed through BIM technology, and the formula was used: Accumulate the consumption of each resource at different time points to obtain the total historical consumption of each resource; in, Indicates The total historical consumption of these resources, Indicates The record of The consumption of resources, is the number of historical records; Based on real-time data from the highway noise wall construction site, including worker locations and material inventory, the formula: Calculate the current resource consumption rate; in, Indicates Resource consumption rate, Indicates the current The record of The consumption of resources, is the number of real-time records, Indicates the statistical time period; Based on the total historical consumption of the resource and the current resource consumption rate, the formula is: Calculate resource waste rate, analyze construction resource waste, and generate resource usage information; in, Indicates The waste rate of resources, is the threshold value, is the base of natural logarithms, Indicates Resource consumption rate, Indicates The total historical consumption of this resource.

3. The highway noise insulation wall construction simulation system based on BIM according to claim 1 is characterized in that: The method for calculating the construction priority of the differentiated construction area is: Based on the resource demand forecast information, the formula is: Calculate resource urgency and assess the urgency of resources in the construction area; in, Represents resource urgency, is the regional predicted resource demand, is the current amount of available resources in the region; Based on the resource urgency , combined with the strategic importance of regional construction , through the formula: Calculate construction priorities; in, Represents resource urgency, The strategic importance of regional construction, is the environmental impact factor, For the construction period, Priority for construction.

4. The BIM-based highway noise insulation wall construction simulation system according to claim 3 is characterized in that: The steps for obtaining the optimized resource configuration information are: Based on the construction priorities , analyze the areas that need priority resource adjustments, and combine and , identifying areas of excess and shortage of resources; Based on the areas of resource surplus and resource shortage, the formula is: Calculate resource adjustment rate and adjust resource allocation to obtain optimized resource allocation information; in, is the adjustment factor, is the volatility of regional demand, is the stability coefficient of global resource availability, is the resource adjustment rate.

5. The highway noise insulation wall construction simulation system based on BIM according to claim 1 is characterized in that: The method for evaluating the impact of risk factors on the construction progress of the sound insulation wall is: Based on the optimized resource allocation information, data on risk factors encountered during the construction process are collected, the risk factor data including historical records and forecast information on weather changes and material delays; Based on the risk factor data, the formula: Calculate the construction delay time caused by risk factors and evaluate the impact of risk factors on the construction progress of the sound insulation wall; in, is the probability of occurrence of risk events, is the average delay time caused by risk events, is the adjustment coefficient, is an external influencing factor, Delayed construction time.

6. The BIM-based highway noise insulation wall construction simulation system according to claim 5 is characterized in that: The steps for obtaining the risk assessment results are: Based on the construction delay time , through the formula: Calculating risk value ; in, Represents the risk value, Due to construction delays, is the offset, is the attenuation coefficient, To adjust the parameters; Based on the risk value , the risk value Compare with the preset risk level, adjust the construction risk level, and obtain the risk assessment result.

Images