A method and system for engineering construction monitoring management based on Internet of Things simulation
Through the Internet of Things-based simulation construction monitoring and management method, the cost deviation is identified using BIM model and cluster analysis, and the construction planning is optimized through cost sensitivity analysis and resource scheduling, the problems of cost deviation and low resource utilization in traditional construction management are solved, achieving a more efficient and economical construction process.
Patent Information
- Application Number
- CN202411192977.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-28
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2044-08-28
AI Technical Summary
Traditional engineering construction management relies on manual experience, resulting in many problems during the construction process, high rework costs, and inconsistent construction progress. It also lacks effective analysis and monitoring of cost deviations, resulting in a large deviation between the actual construction cost and the planned cost.
Provide an engineering construction monitoring and management method based on the Internet of Things simulation. By obtaining BIM models and cost estimation solutions, clustering analysis and simulation simulation, identifying cost deviations, conducting cost sensitivity analysis and resource scheduling, and optimizing construction planning solutions.
Through simulation and cost sensitivity analysis, cost deviations are identified and optimized, rework and delays are reduced, resource utilization is improved, construction costs are reduced, construction efficiency and energy efficiency are improved.
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Figure CN119026994B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of simulated construction monitoring, and in particular to an engineering construction monitoring management method and system based on Internet of Things simulation. Background Art
[0002] Traditional engineering construction management mainly relies on manual experience to formulate construction plans and resource allocation plans, and optimizes them while they are being implemented. Due to the evaluation and optimization of the overall plan, there are many problems in the actual construction process, such as high rework costs and construction progress that does not meet expectations. In addition, due to the lack of effective analysis and monitoring of cost deviations, it is impossible to accurately predict construction costs, resulting in a large deviation between actual construction costs and planned costs, and cost overruns and resource waste often occur. Once a link with serious deviations is encountered, it is difficult to quickly adjust the entire planning plan due to the lack of a dynamic and reasonable scheduling plan, which seriously affects the entire construction period and greatly reduces construction energy efficiency. Summary of the invention
[0003] In order to solve at least one of the technical problems mentioned above, the present invention provides an engineering construction monitoring and management method and system based on Internet of Things simulation.
[0004] In a first aspect, the present invention provides a method for monitoring and managing engineering construction based on Internet of Things simulation, the method comprising:
[0005] Obtain the BIM model and cost estimation plan of the current project, perform cluster analysis on the cost estimation plan and the engineering data of historical projects, and obtain the construction planning plan of the current project;
[0006] Simulate the BIM model to obtain the simulated construction cost of each construction link, calculate the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identify the construction link with a cost deviation greater than a first preset threshold as an abnormal construction link, and determine the cost deviation type of the abnormal construction link;
[0007] When it is determined that the cost deviation type is that the simulated construction cost is greater than the planned cost, the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan are obtained, and the preset LSTM model is used to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period. According to the weather change trend and the price fluctuation trend of each resource, the cost sensitivity analysis of the abnormal construction link is carried out;
[0008] When it is determined that the cost sensitivity is greater than the second preset threshold, determine whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link; when there is a schedulable construction link, calculate the resource allocation plan of the abnormal construction link and the resource matching degree of each schedulable construction link, select the schedulable construction link with the highest resource matching degree as the target scheduling link, and use the target scheduling link to update the abnormal construction link.
[0009] Preferably, the determining whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link further includes:
[0010] When there is no schedulable construction link, according to the predicted weather change trend and the price fluctuation trend of each resource, the planned construction period whose weather change trend or price fluctuation trend does not meet the first preset condition is screened out as the schedulable construction period of the abnormal construction link;
[0011] The planned construction period of all construction links in the construction planning scheme is updated according to the schedulable construction period.
[0012] Preferably, after the abnormal construction link is updated by using the target scheduling link, the method further includes:
[0013] Simulate the target scheduling link, obtain the simulated construction progress and simulated construction quality, and conduct a feasibility assessment on the target scheduling link based on the simulated construction progress and simulated construction quality;
[0014] When it is determined that the feasibility assessment result does not meet the second preset condition, the schedulable construction links are prioritized according to the size of the resource matching degree, and the schedulable construction links are used to update the abnormal construction links in sequence according to the priority sequence until the feasibility assessment result meets the second preset condition.
[0015] Preferably, the cost sensitivity analysis of abnormal construction links according to weather change trends and price fluctuation trends of various resources also includes:
[0016] When it is determined that the cost sensitivity is less than or equal to the second preset threshold, calculating the resource utilization rate of the abnormal construction link according to the resource allocation plan;
[0017] When it is determined that the resource utilization rate is lower than the third preset threshold, the resource allocation scheme is optimized and updated.
[0018] Preferably, the determining the cost deviation type of the abnormal construction link further includes:
[0019] When it is determined that the cost deviation type is that the simulated construction cost is less than the planned cost, the construction quality simulation result of the abnormal construction link is obtained, and it is determined whether the construction quality simulation result meets the third preset condition;
[0020] If so, use the simulated construction cost to update the planned cost of the abnormal construction link;
[0021] If not, the construction planning scheme for the abnormal construction link will be optimized and updated.
[0022] In a second aspect, the present invention further provides an engineering construction monitoring and management system based on Internet of Things simulation, the system comprising:
[0023] The cluster analysis unit is used to obtain the BIM model and cost estimation scheme of the current project, and to perform cluster analysis on the cost estimation scheme and the engineering data of historical projects to obtain the construction planning scheme of the current project;
[0024] The deviation analysis unit is used to simulate the BIM model to obtain the simulated construction cost of each construction link, calculate the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identify the construction link with a cost deviation greater than a first preset threshold as an abnormal construction link, and determine the cost deviation type of the abnormal construction link;
[0025] The sensitivity analysis unit is used to obtain the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan when the cost deviation type is determined to be that the simulated construction cost is greater than the planned cost, and use the preset LSTM model to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period, and perform cost sensitivity analysis on the abnormal construction link according to the weather change trend and the price fluctuation trend of each resource;
[0026] The abnormal update unit is used to determine whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link when it is determined that the cost sensitivity is greater than a second preset threshold; when there is a schedulable construction link, calculate the resource allocation plan of the abnormal construction link and the resource matching degree of each schedulable construction link, select the schedulable construction link with the highest resource matching degree as the target scheduling link, and use the target scheduling link to update the abnormal construction link.
[0027] In a third aspect, the present invention further provides an electronic device comprising: a processor and a memory, wherein the memory is used to store computer program code, wherein the computer program code comprises computer instructions, and when the processor executes the computer instructions, the electronic device executes the method as described in the first aspect above and any possible implementation thereof.
[0028] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, wherein the computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the method as described in the first aspect above and any possible implementation thereof.
[0029] Compared with the prior art, the present invention has the following beneficial effects:
[0030] 1) The present invention first obtains the BIM model and cost estimation scheme of the current project, performs cluster analysis on the cost estimation scheme and the engineering data of historical projects, and obtains the construction planning scheme of the current project. The clustering algorithm can refer to historical successful cases to determine the construction planning scheme of the current project, which not only improves the rationality of the planning scheme, but also improves the efficiency of scheme generation.
[0031] 2) The present invention performs simulation through the BIM model, calculates the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identifies the construction link with a cost deviation greater than the first preset threshold as an abnormal construction link, determines the cost deviation type of the abnormal construction link, and can perform the simulation process more comprehensively through BIM modeling and simulation, thereby enhancing the reliability of the simulation results. By classifying the deviation types, different solutions can be provided for different cost deviation situations in a targeted manner, thereby adjusting resource allocation in a timely manner, reducing the risk of cost overruns, and making the scheme optimization process more efficient and more reasonable.
[0032] 3) When the cost deviation type is determined to be that the simulated construction cost is greater than the planned cost, the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan are obtained, and the preset LSTM model is used to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period. According to the weather change trend and the price fluctuation trend of each resource, a cost sensitivity analysis is performed on the abnormal construction link. The LSTM model is used to predict the weather change trend and resource price fluctuation, combined with the cost sensitivity analysis, to achieve effective scheduling of abnormal construction links and improve resource utilization.
[0033] 4) When it is determined that the cost sensitivity is greater than the second preset threshold, determine whether there is a schedulable construction link in the current project that has no dependency on the abnormal construction link; when there is a schedulable construction link, calculate the resource matching degree between the resource allocation scheme of the abnormal construction link and each schedulable construction link, select the schedulable construction link with the highest resource matching degree as the target scheduling link, and use the target scheduling link to update the abnormal construction link. By conducting cost sensitivity analysis on the construction link and finding the schedulable construction link for resource reallocation, it is helpful to optimize the construction progress and avoid delays caused by improper resource allocation.
[0034] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background technology, the drawings required for use in the embodiments of the present invention or the background technology will be described below.
[0036] The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used to illustrate the technical solutions of the present disclosure together with the specification.
[0037] Figure 1 A schematic diagram of a flow chart of an engineering construction monitoring and management method based on Internet of Things simulation provided by an embodiment of the present invention;
[0038] Figure 2 A schematic diagram of the structure of an engineering construction monitoring and management system based on Internet of Things simulation provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0039] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0040] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0041] At present, engineering construction planning schemes are usually formulated based on manual experience in the early stage, and are adjusted during construction after being put into the actual construction process in the later stage. This will lead to problems such as large deviation between the plan and the actual situation, low resource utilization, and low construction efficiency. For this reason, this application aims to provide an engineering construction monitoring and management method based on Internet of Things simulation, which can reasonably schedule and update the construction plan through simulation, thereby optimizing the construction plan, improving the rationality and reliability of the plan, and thus enhancing the energy efficiency of the actual construction in the later stage.
[0042] See also Figure 1 , Figure 1 The present invention provides a flow chart of a method for monitoring and managing engineering construction based on Internet of Things simulation. Figure 1 As shown, the method includes:
[0043] S10. Obtain the BIM model and cost estimation plan of the current project, perform cluster analysis on the cost estimation plan and engineering data of historical projects, and obtain a construction planning plan for the current project.
[0044] In this embodiment, a BIM model is first constructed based on the design drawings of the current project, and the model includes all relevant building information of the project. Then, a cost estimation scheme based on the BIM model usually includes detailed information such as material cost, labor cost and other indirect costs.
[0045] Usually, the engineering data of historical engineering projects are stored in a database. The historical data of completed projects similar to the current project are retrieved from the database to record the key parameters of these projects, such as building area, structure type, geographical location, climate conditions, etc. Then, through data cleaning and standardization, the data features related to cost are extracted. Based on these features, the cost estimation scheme of the current project is clustered with the historical engineering data to identify patterns or clusters similar to the current project, evaluate the similarity between these patterns and the current project, and use the historical engineering project with the highest degree of similarity as a reference case to determine the construction planning scheme of the current engineering project.
[0046] Preferably, the clustering algorithm may be any one of K-means, hierarchical clustering or DBSCAN. The construction planning scheme generally includes the construction schedule planning, resource allocation scheme, planning cost and construction quality requirements of each construction link.
[0047] S20. Simulate the BIM model to obtain the simulated construction cost of each construction link, calculate the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identify the construction link with a cost deviation greater than a first preset threshold as an abnormal construction link, and determine the cost deviation type of the abnormal construction link.
[0048] In this embodiment, the BIM model is first inspected to ensure that the BIM model is complete, and it is confirmed that the BIM model contains all necessary construction information, including but not limited to materials, labor, machinery and equipment, etc. Then, by integrating the cost information into the BIM model, it is ensured that each construction link has a corresponding planning cost. Then the BIM model is simulated. The main function of this step is to first make adjustments to the unreasonable parts of the construction planning scheme through preliminary simulation. Specifically, during the simulation, BIM software that supports cost analysis functions can be used to define various factors that need to be considered in the simulation process, such as construction progress, material price fluctuations, changes in labor costs, etc. Then, the simulation is run to generate the simulated construction cost of each construction link.
[0049] Since the obtained simulated construction cost usually deviates from the planned cost in the initial construction planning scheme, this embodiment will further compare the deviation between the two. For engineering projects, there will usually be a reasonable floating range in the planning of costs or construction schedules to improve the fault tolerance of the scheme. Therefore, when the deviation between the two is within a reasonable floating range, it can usually be considered that the scheme is reasonable and does not need to be modified. For situations where the deviation is large, the original planning scheme needs to be optimized. Specifically, this embodiment will identify the construction link whose cost deviation is greater than the first preset threshold as an abnormal construction link, and then further determine the cost deviation type of the abnormal construction link. Different treatment measures will be given for different deviation types.
[0050] S30. When it is determined that the cost deviation type is that the simulated construction cost is greater than the planned cost, the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan are obtained, and the preset LSTM model is used to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period. According to the weather change trend and the price fluctuation trend of each resource, a cost sensitivity analysis is performed on the abnormal construction link.
[0051] The cost deviation type can be either that the simulated construction cost is greater than the planned cost or that the simulated construction cost is less than the planned cost. The case where the cost is greater than the planned cost is considered here. When the simulated construction cost is greater than the planned cost, in order to further analyze the cause of the deviation, this embodiment will obtain the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan, and perform cost sensitivity analysis on the abnormal construction link by predicting the weather change trend and the price fluctuation trend of each resource.
[0052] Specifically, when predicting weather trends, historical weather data is collected as the basis for training the LSTM model. Then the LSTM model is used to train the weather prediction model, which usually involves steps such as data preprocessing, model building, training and verification. Finally, the trained model is used to predict the weather trend within the planned construction period of the abnormal construction link. Similarly, when predicting price fluctuation trends, historical price data of resources (such as materials, labor, etc.) related to the abnormal construction link are obtained. LSTM models or other time series prediction models are also used to predict the fluctuation trend of resource prices.
[0053] In one embodiment, the LSTM model is a model optimized according to the beetle whisker algorithm, and the optimization process is as follows:
[0054] 1) Determine the optimization dimension K according to the number of hyperparameters to be optimized, set the hyperparameter value range and iteration termination condition;
[0055] 2) Use a random function to remove the initial position X of the individual beetle;
[0056] 3) Calculate the coordinates of the left and right whiskers of the longhorn beetle individual, and calculate the fitness of the left and right whisker coordinates to calculate the next position of the longhorn beetle;
[0057] 4) Update the step size using the adaptive step size factor to determine whether the iteration termination condition is met;
[0058] 5) If not, return to step 2) and iterate until the iteration termination condition is met. The optimized LSTM model is constructed according to the optimal solution to complete the optimization process.
[0059] It should be noted that sensitivity analysis is a method used to evaluate the degree of impact of changes in a variable on project results. To conduct cost sensitivity analysis, it is necessary to evaluate the impact of weather change trends and resource price fluctuations on the cost of abnormal construction links. For example, if the abnormal construction link is an outdoor link, then the sensitivity to weather changes may be higher than that of indoor construction. The building materials used in outdoor construction also have higher corrosion resistance requirements, so they may be more sensitive to changes in material prices and labor costs.
[0060] In one embodiment, cost sensitivity analysis is performed on abnormal construction links based on weather change trends and price fluctuation trends of various resources, as follows:
[0061] Cost sensitivity analysis can quantify the impact of different factors on costs by calculating the sensitivity coefficient. The sensitivity coefficient calculation formula is as follows:
[0062]
[0063] In the formula, S represents the sensitivity coefficient, ΔC represents the cost change, C represents the original cost, ΔF represents the factor change, and F represents the original factor value.
[0064] When applied to calculate the sensitivity coefficient of abnormal construction links, it includes:
[0065] 1) Weather change trends:
[0066] Hypothesis: Weather changes cause construction delays, which increase construction costs;
[0067] Calculation: Assume that weather changes increase the number of days of delay by d days, and the additional cost per day is C d Yuan, then the total additional cost is d×C d Yuan.
[0068] Weather change sensitivity coefficient:
[0069]
[0070] In the formula, T represents the planned construction period, C w Represents planning cost.
[0071] 2) Resource price fluctuation trend:
[0072] Assumption: The price of a resource increases by p%, resulting in an increase in costs;
[0073] Calculation: Assume that the original cost of using this resource is C z , then the cost increase is C z ×p%
[0074] Resource price fluctuation sensitivity coefficient:
[0075]
[0076] Where T represents the planned construction period.
[0077] By obtaining the weather change sensitivity coefficient and the resource price fluctuation sensitivity coefficient, the cost sensitivity assessment result can be determined by weighted summation.
[0078] For ease of understanding, the specific process of step S30 is described in one embodiment:
[0079] Step 1: Determine the type of cost deviation:
[0080] Assume that the abnormal construction link is the concrete pouring process, the planned cost is 100,000 yuan, the simulated construction cost is 110,000 yuan, the planned construction period is 2 months, and the resource allocation includes 20 workers and 100 tons of cement;
[0081] Step 2: Predict trends:
[0082] Use historical weather data to train an LSTM model to predict weather trends in the next two months. Assume that the model predicts that there will be more rainy days in the next two months. Also use an LSTM model to predict cement price fluctuations. Assume that the model predicts that cement prices will rise in the next two months.
[0083] Step 3: Cost sensitivity analysis:
[0084] Based on the trend of weather changes (more rainy days) and the trend of resource price fluctuations (rising cement prices), analyze the impact of these two factors on the cost of concrete pouring.
[0085] Weather effects: Rainy days may increase the difficulty and cost of pouring concrete.
[0086] Impact of resource prices: Rising cement prices will directly increase costs.
[0087] Finally, based on the results of the sensitivity analysis, consider whether the construction plan needs to be adjusted to reduce risks.
[0088] S40. When it is determined that the cost sensitivity is greater than the second preset threshold, determine whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link; when there is a schedulable construction link, calculate the resource allocation plan of the abnormal construction link and the resource matching degree of each schedulable construction link, select the schedulable construction link with the highest resource matching degree as the target scheduling link, and use the target scheduling link to update the abnormal construction link.
[0089] It should be noted that if there is a dependency between two links, it means that one link (called the predecessor link) must be completed before the other link (the successor link) can start or continue. This dependency ensures the orderliness and rationality of the construction process and avoids possible errors and waste of resources. For example, in the process of building a building, the link of "pouring concrete floor" may depend on the completion of "rebar tying". In other words, the concrete pouring work can only be carried out after the steel tying is completed and passed the inspection.
[0090] In this embodiment, identifying construction links without dependencies refers to identifying construction links that have no direct dependencies on abnormal construction links from the construction planning scheme, and evaluating the schedulability of these construction links, that is, whether they can be scheduled without affecting the overall progress.
[0091] Specifically, when there are schedulable construction links, the resource allocation scheme of the abnormal construction link and the resource matching degree of each schedulable construction link are calculated. Resource matching degree refers to the matching degree between the resource demand of the abnormal construction link and the resource supply of the schedulable construction link. For each resource (such as labor, materials, etc.), the difference between the demand of the abnormal construction link and the supply of the schedulable construction link is calculated.
[0092] The specific resource matching calculation method is:
[0093]
[0094] Among them, the demand is the demand for this resource in the abnormal construction link. The supply is the supply of this resource in the schedulable construction link. For multiple resources, the comprehensive matching degree can be calculated by summing:
[0095]
[0096] Among them, w i is the importance weight of the i-th resource. For example, the weight can be set according to the importance of the resource, for example, the weight of labor may be higher than the weight of some materials.
[0097] After calculating the comprehensive resource matching degree, the dispatchable construction links are sorted according to the comprehensive matching degree, and the dispatchable construction link with the highest comprehensive matching degree is selected as the target scheduling link. Finally, the target scheduling link is used to update the abnormal construction link. That is, the construction order of the abnormal construction link can be exchanged with the target scheduling link, and the resources of the abnormal construction link can be allocated to the target scheduling link first, so as to update the overall construction plan.
[0098] In this way, by changing the construction order of non-dependent construction links, construction links with higher cost sensitivity can be transferred to a construction period with lower cost, and for a construction period with a higher price, construction links with lower cost sensitivity can be transferred to that construction period for construction. In this way, reasonable scheduling can not only reduce construction costs, but also improve the rationality of the planning scheme, thereby enhancing the energy efficiency of subsequent actual construction work.
[0099] In one embodiment, the determining whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link further includes:
[0100] When there is no schedulable construction link, according to the predicted weather change trend and the price fluctuation trend of each resource, the planned construction period whose weather change trend or price fluctuation trend does not meet the first preset condition is screened out as the schedulable construction period of the abnormal construction link;
[0101] The planned construction period of all construction links in the construction planning scheme is updated according to the schedulable construction period.
[0102] In this embodiment, it is assumed that there is no schedulable construction link that has no dependency on the abnormal construction link. In order to optimize the solution of the abnormal construction link, it is necessary to further screen the schedulable construction period. Specifically, according to the predicted weather change trend and the price fluctuation trend of each resource, the planned construction period whose weather change trend or price fluctuation trend does not meet the first preset condition is screened out as the schedulable construction period for the abnormal construction link. For example, according to the weather change trend forecast, the rainfall next month will be higher, while the rainfall the month after that will be lower; the resource price fluctuation trend shows that the material price will rise sharply next month, while the price will stabilize the month after that. Since the first preset condition can be that the weather change trend is not bad and the resource price fluctuation trend is relatively stable, the construction meets the conditions in the next month.
[0103] Therefore, when updating the construction plan, it is assumed that the planned construction period of the abnormal construction link in the original construction plan is next month. It can be updated to postpone the planned construction period of the abnormal construction link to the next month, so that construction can be carried out under the conditions of both weather and resource prices, thereby reducing construction costs and improving construction energy efficiency. As for the postponement of the construction period, assuming that forced construction when the environment is bad and the cost is high will greatly increase the construction risk, and it is likely to further increase the rework cost. Therefore, although the implementation is postponed, since the construction progress planning plan has a floating range, the construction cycle of other links can be adjusted to compensate for the postponement decision, and the impact of the delay can be mitigated from the planned construction period of the entire project, so as to better ensure the construction quality and cost and reduce the construction risk.
[0104] In one embodiment, after the abnormal construction phase is updated by using the target scheduling phase, the method further includes:
[0105] Simulate the target scheduling link, obtain the simulated construction progress and simulated construction quality, and conduct a feasibility assessment on the target scheduling link based on the simulated construction progress and simulated construction quality;
[0106] When it is determined that the feasibility assessment result does not meet the second preset condition, the schedulable construction links are prioritized according to the size of the resource matching degree, and the schedulable construction links are used to update the abnormal construction links in sequence according to the priority sequence until the feasibility assessment result meets the second preset condition.
[0107] After the sequence of construction links is updated, although the construction sequence is reasonably scheduled in terms of cost, in order to further confirm the rationality of the scheduling, this embodiment will obtain the simulated construction progress and simulated construction quality, and conduct a feasibility assessment on the target scheduling link based on the simulated construction progress and simulated construction quality.
[0108] Specifically, when conducting a feasibility assessment, first define the assessment indicators, including construction progress and construction quality. According to the construction progress after simulation, evaluate whether the new scheduling scheme can complete each construction link on time, and whether the total construction period of the entire project will be affected. According to the construction quality after simulation, evaluate whether the new scheduling scheme can ensure that the construction quality meets the expected requirements, including the safety of materials, processes and structures. How to meet the second preset condition, that is, it is reasonable and reliable to consider that the task updates the schedulable construction link with the highest resource matching degree to the construction period of the abnormal construction link. However, if the second preset condition is not met, then this embodiment will prioritize the schedulable construction links according to the size of the resource matching degree, and then calculate whether the schedulable construction link with the second highest matching degree meets the feasibility condition after the update, and so on until the feasibility assessment result meets the second preset condition.
[0109] The above embodiments help ensure the smooth progress of the construction project, discover potential problems in advance through simulation, and solve problems through reasonable resource allocation and scheduling, thereby improving overall efficiency and quality. During scheduling, not only the resource matching problem is considered, but also the updated feasibility assessment is taken into account, thereby further ensuring the rationality of the optimized construction plan.
[0110] In one embodiment, the cost sensitivity analysis of abnormal construction links according to weather change trends and price fluctuation trends of various resources also includes:
[0111] When it is determined that the cost sensitivity is less than or equal to the second preset threshold, calculating the resource utilization rate of the abnormal construction link according to the resource allocation plan;
[0112] When it is determined that the resource utilization rate is lower than the third preset threshold, the resource allocation scheme is optimized and updated.
[0113] In the above embodiment, if the cost sensitivity of the abnormal construction link is high, the construction cost can be reduced by scheduling the order of the construction links to avoid the high-cost construction period. However, in other cases, if the cost deviation of the abnormal construction link is not caused by weather or resource price fluctuations, that is, the cost sensitivity itself is not high, then in order to optimize the plan, the resource allocation plan of the abnormal construction link will be obtained, and the resource utilization rate of the abnormal construction link will be calculated according to the resource allocation plan.
[0114] Preferably, calculating resource utilization includes:
[0115] 1) Determine the resource type: clarify the various types of resources required for the construction process, such as manpower, equipment, materials, etc.
[0116] 2) Collect data: record the actual resource consumption and planned resource allocation of each construction link.
[0117] 3) Calculate resource utilization: For each type of resource, calculate the ratio of actual consumption to planned allocation; for abnormal construction links, calculate the average utilization or comprehensive utilization of all resource types.
[0118] When the resource utilization rate is obtained, if it is lower than the third preset threshold, it proves that the main reason for the cost overrun in the abnormal construction link is excessive resource allocation, which wastes too many invalid resources and increases the construction cost. Therefore, the resource allocation plan can be optimized and updated at this time.
[0119] Specifically, optimizing and updating the resource allocation scheme may include:
[0120] 1) Establishing the objective function: Optimizing the resource allocation plan to improve resource utilization, that is, establishing the objective function with the highest resource utilization. Resource utilization can be expressed as the ratio of actual consumption to planned allocation.
[0121] 2) Parameter setting: define the relevant parameters of the genetic algorithm, including population size, crossover probability, mutation probability, selection strategy, etc.
[0122] 3) Initialize the population: Randomly generate a set of resource allocation schemes as the initial population.
[0123] 4) Genetic algorithm optimization: Use genetic algorithm to perform selection, crossover, mutation and evaluation operations to replace some individuals in the old population with newly generated individuals to form a new population.
[0124] 5) Convergence check: Check whether the stopping conditions are met, such as the number of iterations is limited, the improvement in resource utilization is less than a certain threshold, etc.
[0125] 6) Repeat iteration: Repeat steps 4) and 5) until the stopping condition is met to obtain the final population, in which the best individual is the optimal resource allocation solution.
[0126] Therefore, in this embodiment, when it is analyzed that the cause of the cost deviation of the abnormal construction link is an unreasonable resource allocation plan, the resource allocation plan is optimized and updated so that the updated resource allocation plan is more reasonable and has a high utilization rate, thereby reducing the construction cost.
[0127] In one embodiment, determining the cost deviation type of the abnormal construction link further includes:
[0128] When it is determined that the cost deviation type is that the simulated construction cost is less than the planned cost, the construction quality simulation result of the abnormal construction link is obtained, and it is determined whether the construction quality simulation result meets the third preset condition;
[0129] If so, use the simulated construction cost to update the planned cost of the abnormal construction link;
[0130] If not, the construction planning scheme for the abnormal construction link will be optimized and updated.
[0131] The above embodiment takes into account the situation where the simulated construction cost is greater than the planned cost. However, in some embodiments, the simulated construction cost may be less than the planned cost after simulation. In this case, the construction quality simulation result of the abnormal construction link will be obtained to determine whether the construction quality simulation result meets the third preset condition.
[0132] If yes, it means that the current link does not reduce the construction cost by sacrificing the construction quality, but the planning cost error in the original planning scheme is large. Since the cost after simulation is more in line with the actual situation, the planning cost of the abnormal construction link is updated using the simulated construction cost.
[0133] If not, it means that the reason why the cost of the abnormal construction link is lower than the planned cost is because the construction quality is not up to standard, such as cutting corners, saving labor costs, etc. At this time, in order to ensure the rationality of the plan, it is necessary to reset the entire construction planning plan for the abnormal construction link. The genetic algorithm can also be used to find the optimal update method to set updated goals, such as taking into account construction quality, progress and cost at the same time, and obtaining the best construction planning plan by finding the optimal solution for the multi-objective optimization function. The specific steps can refer to the genetic algorithm update process of the aforementioned embodiment, which will not be further described here.
[0134] Therefore, in addition to simulating the situation where the construction cost is greater than the planned cost, this embodiment also considers the situation where the cost is less than the planned cost, and analyzes the reason for the less than the planned cost, so as to update part (planning cost) or all of the construction planning scheme to ensure the rationality of the scheme, thereby increasing the energy efficiency of subsequent construction.
[0135] In summary, the solution provided in this embodiment can at least achieve the following beneficial effects:
[0136] 1) The present invention first obtains the BIM model and cost estimation scheme of the current project, performs cluster analysis on the cost estimation scheme and the engineering data of historical projects, and obtains the construction planning scheme of the current project. The clustering algorithm can refer to historical successful cases to determine the construction planning scheme of the current project, which not only improves the rationality of the planning scheme, but also improves the efficiency of scheme generation.
[0137] 2) The present invention performs simulation through the BIM model, calculates the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identifies the construction link with a cost deviation greater than the first preset threshold as an abnormal construction link, determines the cost deviation type of the abnormal construction link, and can perform the simulation process more comprehensively through BIM modeling and simulation, thereby enhancing the reliability of the simulation results. By classifying the deviation types, different solutions can be provided for different cost deviation situations in a targeted manner, thereby adjusting resource allocation in a timely manner, reducing the risk of cost overruns, and making the scheme optimization process more efficient and more reasonable.
[0138] 3) When the cost deviation type is determined to be that the simulated construction cost is greater than the planned cost, the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan are obtained, and the preset LSTM model is used to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period. According to the weather change trend and the price fluctuation trend of each resource, a cost sensitivity analysis is performed on the abnormal construction link. The LSTM model is used to predict the weather change trend and resource price fluctuation, combined with the cost sensitivity analysis, to achieve effective scheduling of abnormal construction links and improve resource utilization.
[0139] 4) When it is determined that the cost sensitivity is greater than the second preset threshold, determine whether there is a schedulable construction link in the current project that has no dependency on the abnormal construction link; when there is a schedulable construction link, calculate the resource matching degree between the resource allocation scheme of the abnormal construction link and each schedulable construction link, select the schedulable construction link with the highest resource matching degree as the target scheduling link, and use the target scheduling link to update the abnormal construction link. By conducting cost sensitivity analysis on the construction link and finding the schedulable construction link for resource reallocation, it is helpful to optimize the construction progress and avoid delays caused by improper resource allocation.
[0140] See also Figure 2 In one embodiment, the present invention further provides an engineering construction monitoring and management system based on Internet of Things simulation, the system comprising:
[0141] The cluster analysis unit 100 is used to obtain the BIM model and cost estimation scheme of the current project, perform cluster analysis on the cost estimation scheme and the engineering data of historical projects, and obtain the construction planning scheme of the current project;
[0142] The deviation analysis unit 200 is used to simulate the BIM model to obtain the simulated construction cost of each construction link, calculate the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identify the construction link with a cost deviation greater than a first preset threshold as an abnormal construction link, and determine the cost deviation type of the abnormal construction link;
[0143] The sensitivity analysis unit 300 is used to obtain the planned construction period and resource allocation scheme of the abnormal construction link in the construction planning scheme when it is determined that the cost deviation type is that the simulated construction cost is greater than the planned cost, and use a preset LSTM model to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period, and perform cost sensitivity analysis on the abnormal construction link according to the weather change trend and the price fluctuation trend of each resource;
[0144] The abnormal update unit 400 is used to determine whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link when it is determined that the cost sensitivity is greater than the second preset threshold; when there is a schedulable construction link, calculate the resource allocation plan of the abnormal construction link and the resource matching degree of each schedulable construction link, select the schedulable construction link with the highest resource matching degree as the target scheduling link, and use the target scheduling link to update the abnormal construction link.
[0145] It can be understood that the functions or modules included in the system provided in this embodiment can be used to execute the method described in the above method embodiment. Its specific implementation can refer to the description of the above method embodiment. For the sake of brevity, it will not be repeated here.
[0146] The present invention also provides an electronic device, including a processor and a memory, wherein the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes a method as described in any possible implementation manner.
[0147] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any possible implementation manner.
[0148] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.
[0149] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. Those skilled in the art can also clearly understand that the descriptions of the various embodiments of the present invention have different focuses. For the convenience and brevity of description, the same or similar parts may not be repeated in different embodiments. Therefore, for parts not described or not described in detail in a certain embodiment, refer to the records of other embodiments.
Claims
1. A method for monitoring and managing engineering construction based on Internet of Things simulation, characterized in that: The method comprises: Obtain the BIM model and cost estimation plan of the current project, perform cluster analysis on the cost estimation plan and the engineering data of historical projects, and obtain the construction planning plan of the current project; Simulate the BIM model to obtain the simulated construction cost of each construction link, calculate the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identify the construction link with a cost deviation greater than a first preset threshold as an abnormal construction link, and determine the cost deviation type of the abnormal construction link; When it is determined that the cost deviation type is that the simulated construction cost is greater than the planned cost, the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan are obtained, and the preset LSTM model is used to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period. According to the weather change trend and the price fluctuation trend of each resource, the cost sensitivity analysis of the abnormal construction link is carried out; When it is determined that the cost sensitivity is greater than the second preset threshold, it is determined whether there is a schedulable construction link in the current project that has no dependency on the abnormal construction link; when there is a schedulable construction link, the resource matching degree between the resource allocation scheme of the abnormal construction link and each schedulable construction link is calculated, and the schedulable construction link with the highest resource matching degree is selected as the target scheduling link, and the abnormal construction link is updated using the target scheduling link; The cost sensitivity analysis of abnormal construction links based on weather change trends and price fluctuation trends of various resources includes: Calculate the weather change sensitivity coefficient and resource price fluctuation sensitivity coefficient, and determine the cost sensitivity assessment result by weighted summation; The weather change sensitivity coefficient is: In the formula, S w represents the sensitivity coefficient of weather changes, d represents the number of days of delay, C d represents the additional cost per day of delay, T represents the planned construction period, C w represents planning cost; The resource price fluctuation sensitivity coefficient is: In the formula, S z represents the resource price fluctuation sensitivity coefficient, p% is the resource price increase, C z Indicates the cost of resources originally planned to be used; The calculation of the resource allocation scheme of the abnormal construction link and the resource matching degree of each schedulable construction link includes: If there is only one resource i, calculate the corresponding resource matching degree: In the formula, demand is the demand for resource i in the abnormal construction link, and supply is the supply of resource i in the schedulable construction link; If there are multiple resources, calculate the comprehensive resource matching degree: In the formula, w i is the importance weight of the i-th resource, and n means there are n types of resources.
2. The engineering construction monitoring and management method based on Internet of Things simulation according to claim 1 is characterized in that: The determining whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link also includes: When there is no schedulable construction link, according to the predicted weather change trend and the price fluctuation trend of each resource, the planned construction period whose weather change trend or price fluctuation trend does not meet the first preset condition is screened out as the schedulable construction period of the abnormal construction link; The planned construction period of all construction links in the construction planning scheme is updated according to the schedulable construction period.
3. The engineering construction monitoring and management method based on Internet of Things simulation according to claim 1 is characterized in that: After the abnormal construction link is updated by using the target scheduling link, the following steps are also included: Simulate the target scheduling link, obtain the simulated construction progress and simulated construction quality, and conduct a feasibility assessment on the target scheduling link based on the simulated construction progress and simulated construction quality; When it is determined that the feasibility assessment result does not meet the second preset condition, the schedulable construction links are prioritized according to the size of the resource matching degree, and the schedulable construction links are used to update the abnormal construction links in sequence according to the priority sequence until the feasibility assessment result meets the second preset condition.
4. The engineering construction monitoring and management method based on Internet of Things simulation according to claim 1 is characterized in that: The cost sensitivity analysis of abnormal construction links based on weather change trends and price fluctuation trends of various resources also includes: When it is determined that the cost sensitivity is less than or equal to the second preset threshold, calculating the resource utilization rate of the abnormal construction link according to the resource allocation plan; When it is determined that the resource utilization rate is lower than the third preset threshold, the resource allocation scheme is optimized and updated.
5. The engineering construction monitoring and management method based on Internet of Things simulation according to claim 1 is characterized in that: The determining of the cost deviation type of the abnormal construction link also includes: When it is determined that the cost deviation type is that the simulated construction cost is less than the planned cost, the construction quality simulation result of the abnormal construction link is obtained, and it is determined whether the construction quality simulation result meets the third preset condition; If so, use the simulated construction cost to update the planned cost of the abnormal construction link; If not, the construction planning scheme for the abnormal construction link will be optimized and updated.
6. An engineering construction monitoring and management system based on Internet of Things simulation, characterized in that: The system comprises: The cluster analysis unit is used to obtain the BIM model and cost estimation scheme of the current project, and to perform cluster analysis on the cost estimation scheme and the engineering data of historical projects to obtain the construction planning scheme of the current project; The deviation analysis unit is used to simulate the BIM model to obtain the simulated construction cost of each construction link, calculate the cost deviation between the simulated construction cost of each construction link and the planned cost in the construction planning scheme, identify the construction link with a cost deviation greater than a first preset threshold as an abnormal construction link, and determine the cost deviation type of the abnormal construction link; The sensitivity analysis unit is used to obtain the planned construction period and resource allocation plan of the abnormal construction link in the construction planning plan when the cost deviation type is determined to be that the simulated construction cost is greater than the planned cost, and use the preset LSTM model to predict the weather change trend and the price fluctuation trend of each resource within the planned construction period, and perform cost sensitivity analysis on the abnormal construction link according to the weather change trend and the price fluctuation trend of each resource; The abnormality updating unit is used to determine whether there is a schedulable construction link in the current engineering project that has no dependency on the abnormal construction link when it is determined that the cost sensitivity is greater than a second preset threshold; when there is a schedulable construction link, calculate the resource matching degree between the resource allocation scheme of the abnormal construction link and each schedulable construction link, select the schedulable construction link with the highest resource matching degree as the target scheduling link, and use the target scheduling link to update the abnormal construction link; The cost sensitivity analysis of abnormal construction links based on weather change trends and price fluctuation trends of various resources includes: Calculate the weather change sensitivity coefficient and resource price fluctuation sensitivity coefficient, and determine the cost sensitivity assessment result by weighted summation; The weather change sensitivity coefficient is: In the formula, S w represents the sensitivity coefficient of weather changes, d represents the number of days of delay, C d represents the additional cost per day of delay, T represents the planned construction period, C w represents planning cost; The resource price fluctuation sensitivity coefficient is: In the formula, S z represents the resource price fluctuation sensitivity coefficient, p% is the resource price increase, C z Indicates the cost of resources originally planned to be used; The calculation of the resource allocation scheme of the abnormal construction link and the resource matching degree of each schedulable construction link includes: If there is only one resource i, calculate the corresponding resource matching degree: In the formula, demand is the demand for resource i in the abnormal construction link, and supply is the supply of resource i in the schedulable construction link; If there are multiple resources, calculate the comprehensive resource matching degree: In the formula, w i is the importance weight of the i-th resource, and n means there are n types of resources.
7. An electronic device, characterized in that: It includes a processor and a memory, the memory is used to store computer program code, the computer program code includes computer instructions, and when the processor executes the computer instructions, the electronic device executes the engineering construction monitoring and management method based on Internet of Things simulation as described in any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the engineering construction monitoring and management method based on Internet of Things simulation as described in any one of claims 1 to 5.
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