Project cost progress management method based on big data processing
By using big data processing to distinguish between critical and ordinary construction areas, and combining adjacent relationships to conduct targeted spot checks, the problem of random inspections in traditional project cost and progress management has been solved, improving inspection efficiency and prediction accuracy, and reducing costs.
Patent Information
- Application Number
- CN202511030451.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-25
- Publication Date
- 2025-10-31
AI Technical Summary
Traditional engineering cost and schedule management suffers from random quality inspections that may lead to omissions of areas where construction quality does not meet standards, resulting in significant discrepancies between project cost and schedule and increased costs.
By using big data processing, we can statistically analyze the resource utilization rate of construction areas, distinguish between key and ordinary construction areas, conduct targeted spot checks, and develop diversified spot check plans based on adjacent relationships to improve testing efficiency and reliability.
It enables real-time and reasonable prediction of construction quality, reduces omissions in spot checks, improves the accuracy of project cost and schedule forecasts, and reduces costs.
Smart Images
Figure CN120875413A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of engineering cost and schedule management technology, and in particular to an engineering cost and schedule management method based on big data processing. Background Technology
[0002] With the continuous improvement of informatization in the construction industry, a large amount of data is generated in the process of project cost and schedule management. This data comes from multiple sources, such as drawing information and material selection data in the design phase, progress records of various procedures in the construction phase, resource input data (manpower, materials, equipment, etc.), as well as market-related price fluctuation data and policy and regulation change information.
[0003] In traditional techniques, quality inspection of engineering implementation work often involves randomly selecting construction areas for quality acceptance to determine whether rework is necessary. This is highly random and may overlook areas where the quality is not up to standard, leading to a significant difference between the final project cost and the actual cost, as well as substantial delays in the project schedule, which in turn increases costs. Summary of the Invention
[0004] To overcome the shortcomings of the existing technology, this application provides a method for engineering cost and schedule management based on big data processing.
[0005] This application provides a method for engineering cost and schedule management based on big data processing, the method comprising:
[0006] Step S1: Based on the construction plan of the target construction area that needs to be constructed within the construction layer, calculate the utilization rate of the resources to be measured in each construction area of the target construction area. Based on the positional relationship of each construction area in the target construction area, extract the key construction area and ordinary construction area in the target construction area. If the key quality inspection result of the key construction area is that the construction quality of the key construction area meets the standard, then based on the non-compliance of the utilization rate of the resources to be measured in the key construction area, select some areas from the ordinary construction area for construction quality spot check and output the key spot check plan one.
[0007] Step S2: If the construction quality of a key construction area is substandard in the key quality inspection results, then select an ordinary construction area that is adjacent to the key construction area with substandard construction quality for construction quality sampling inspection, and output the second key sampling inspection plan.
[0008] Step S3: Based on the first or second key sampling inspection scheme, extract the construction areas from the ordinary construction areas where the utilization rate of the resource to be tested is at its maximum and minimum values under the condition of meeting the standard, and conduct construction quality sampling inspections, and comprehensively formulate the first quality inspection scheme or the second quality inspection scheme.
[0009] Step S4: Based on the comprehensive quality inspection results of the construction quality acceptance of the first or second quality inspection plan, estimate the construction cost and delay in completion of the second rework required, and output the additional cost and the actual delay in construction progress.
[0010] Preferably, the target construction area within the construction layer that needs to be constructed is obtained, and the required construction cost is estimated based on the construction plan of the target construction area to obtain the initial cost. Based on the construction plan, the construction completion period is estimated to obtain the initial construction progress. The construction plan includes the allocation of construction material resources and the amount of construction tasks.
[0011] Based on the construction material resource allocation, the actual material resource usage of each construction area in the target construction area is statistically analyzed. The ratio of the construction material resource allocation to the actual material resource usage is calculated to obtain the resource utilization rate of each construction area in the target construction area.
[0012] Historical construction data of the project during a historical period is obtained. Based on the historical construction data, a controllable range of resource utilization rate is preset. If the resource utilization rate to be measured is greater than or less than the controllable range of resource utilization rate, it is determined that the utilization rate is abnormal. If the resource utilization rate to be measured is equal to the controllable range of resource utilization rate, it is determined that the utilization rate meets the standard.
[0013] Preferably, based on the positional relationship between the various construction areas in the target construction area, key construction areas and ordinary construction areas are extracted from the target construction area. Key construction areas are those that have an adjacent connection with at least three construction areas, and ordinary construction areas are those that have an adjacent connection with at most two construction areas.
[0014] Quality acceptance is conducted on key construction areas, and key quality inspection results are output. If the key quality inspection results indicate that the construction quality of the key construction area meets the standards, then the first type of quality inspection situation one is output. Based on the key quality inspection results, if there is an abnormal utilization rate of the test resource in the key construction area, then it is determined whether the utilization rate of the test resource in the ordinary construction area adjacent to the key construction area meets the standards. If yes, then there is no need to conduct construction quality sampling inspection on the ordinary construction area adjacent to the key construction area. If no, then conduct construction quality sampling inspection on the ordinary construction area adjacent to the key construction area and output the first type of quality inspection situation two.
[0015] The first type of quality inspection scenario 1 and the first type of quality inspection scenario 2 are combined to form the key sampling inspection plan 1.
[0016] Preferably, if the construction quality of a key construction area is substandard in the key quality inspection results, then output the second type of quality inspection situation one, extract the areas to be inspected from the ordinary construction areas that are adjacent to the key construction area to be inspected, conduct random inspections on the construction quality of the areas to be inspected, and output the second type of quality inspection situation two.
[0017] If the utilization rate of the resources to be tested in the remaining key areas of the key construction areas other than the key construction areas of the second type of quality inspection situation one is abnormal, then the construction quality of the ordinary construction areas adjacent to the remaining key areas will be sampled and inspected, and the output will be the second type of quality inspection situation three.
[0018] The second type of quality inspection scenario one, the second type of quality inspection scenario two, and the third type of quality inspection scenario three are combined to form the key sampling plan two.
[0019] Preferably, according to the key sampling inspection scheme one or key sampling inspection scheme two, the remaining ordinary areas other than the ordinary construction areas belonging to key sampling inspection scheme one or key sampling inspection scheme two are selected from the ordinary construction areas. If there are construction areas in the remaining ordinary areas where the utilization rate of the test resource is abnormal, the construction areas in the remaining ordinary areas with abnormal utilization rates of the test resource are extracted for construction quality sampling inspection, and ordinary sampling inspection situation one is output.
[0020] Based on the first ordinary sampling inspection scenario, extract the construction areas from the remaining ordinary areas whose resource utilization rate meets the standard and whose maximum and minimum utilization rates are located, and conduct construction quality sampling inspections, thus outputting the second ordinary sampling inspection scenario.
[0021] Preferably, if the utilization rate of the resources to be tested in the remaining ordinary areas meets the utilization rate standard, then the construction areas with the maximum, minimum and median utilization rates of the resources to be tested are extracted from the remaining ordinary areas for construction quality spot checks, and ordinary spot check result three is output.
[0022] The three ordinary sampling scenarios are combined to form the Condition 2 sampling plan.
[0023] The first key sampling plan and the second condition sampling plan are combined to form the first quality inspection plan, and the second key sampling plan and the second condition sampling plan are combined to form the second quality inspection plan.
[0024] Preferably, based on the comprehensive quality inspection results of the construction quality acceptance of the first quality inspection plan or the second quality inspection plan, the construction cost that needs to be reworked is estimated, and the additional cost is output. The initial cost and the additional cost are summed to obtain the actual cost.
[0025] The statistical comprehensive quality inspection results show the construction task volume and distribution characteristics of the construction areas with substandard construction quality, and output the pre-processed construction task volume and pre-processed distribution characteristics. The distribution characteristics to be measured include concentrated distribution characteristics and uniform dispersion characteristics.
[0026] Based on the concentrated distribution characteristics or uniform dispersion characteristics, the schedule delay correlation factor between the construction task volume and the construction delay progress is extracted from the historical construction data. The schedule delay correlation factor is multiplied by the preprocessed construction task volume to predict the delayed completion progress. The initial construction progress and the delayed completion progress are summed to obtain the actual delayed construction progress.
[0027] Compared with the prior art, the present invention has the following characteristics and beneficial effects:
[0028] By statistically analyzing the utilization rate of construction materials in different construction areas within the target construction area, it is possible to initially identify which construction areas have suspected substandard construction quality. Subsequent random inspections of these areas are then conducted. By analyzing the positional relationships between different construction areas, key and ordinary construction areas can be extracted from the target construction area for targeted and differentiated inspections. This invention avoids the pitfalls of traditional random sampling methods, which rely on random selection and lacks differentiation, leading to omissions and neglecting to differentiate key areas or consider the influence of adjacent location relationships on random sampling. This invention expands upon the traditionally simplistic approach to construction quality inspection, improving efficiency and reliability, and enabling real-time and reasonable estimations of actual project costs and schedules. Attached Figure Description
[0029] Figure 1 This embodiment is a flowchart illustrating a method for managing project cost and schedule based on big data processing. Detailed Implementation
[0030] The present invention will be further described in detail below with reference to the following embodiments.
[0031] Reference Figure 1 A method for project cost and schedule management based on big data processing, comprising the following steps:
[0032] Step S1: Based on the construction plan of the target construction area within the construction layer, calculate the utilization rate of the resources to be measured in each construction area of the target construction area. Based on the positional relationship of each construction area in the target construction area, extract the key construction area and ordinary construction area in the target construction area. If the key quality inspection result of the key construction area is that the construction quality of the key construction area meets the standard, then based on the non-compliance of the utilization rate of the resources to be measured in the key construction area, select some areas from the ordinary construction area for construction quality spot checks, and output the first key spot check plan.
[0033] Step S2: If the key quality inspection results show that the construction quality of the key construction area is substandard, then select ordinary construction areas that are adjacent to the key construction areas with substandard construction quality for construction quality sampling inspection, and output key sampling inspection plan two.
[0034] Step S3: Based on either Key Sampling Inspection Plan 1 or Key Sampling Inspection Plan 2, extract the construction areas from the ordinary construction areas that have the maximum and minimum utilization rates of the resources to be tested under the condition of meeting the standards, and conduct construction quality sampling inspections. Then, formulate either the first quality inspection plan or the second quality inspection plan.
[0035] Step S4: Based on the comprehensive quality inspection results of the construction quality acceptance of the first or second quality inspection plan, estimate the construction cost and delay in completion schedule that require secondary rework, and output the additional cost and actual delay in construction schedule.
[0036] Specifically, by statistically analyzing the utilization rate of construction materials in different construction areas within the target construction area, it is possible to initially identify which construction areas have suspected substandard construction quality. Subsequent random inspections of these areas are then conducted. By analyzing the positional relationships between different construction areas, key and ordinary construction areas are extracted from the target construction area for targeted and differentiated inspections. This invention avoids the pitfalls of traditional random sampling methods, which rely on random selection and lacks differentiation, leading to omissions and neglecting to differentiate key construction areas or consider the influence of adjacent positional relationships on random sampling. This invention expands upon the traditionally simplistic approach to construction quality inspection, improving efficiency and reliability, and enabling real-time and reasonable estimations of actual project costs and schedules.
[0037] The specific step S1 includes the following sub-steps:
[0038] The process involves identifying the target construction area within the construction layer that requires construction, estimating the required construction cost based on the construction plan for the target construction area, obtaining the initial construction cost, estimating the construction completion deadline based on the construction plan, and obtaining the initial construction schedule. The construction plan includes the allocation of construction material resources and the amount of construction tasks.
[0039] Based on the allocation of construction material resources, the actual material resource usage of each construction area in the target construction area is statistically analyzed. The ratio of the allocation of construction material resources to the actual usage of discretionary resources is calculated to obtain the resource utilization rate of each construction area in the target construction area.
[0040] Historical construction data of the project is obtained. Based on the historical construction data, a controllable range of resource utilization rate is preset. If the resource utilization rate to be measured is greater than or less than the controllable range of resource utilization rate, it is judged as an abnormal utilization rate. If the resource utilization rate to be measured is equal to the controllable range of resource utilization rate, it is judged as a qualified utilization rate.
[0041] Based on the positional relationship of each construction area in the target construction area, the key construction area and ordinary construction area are extracted. The key construction area is one that has an adjacent connection with at least three construction areas, and the ordinary construction area is one that has an adjacent connection with at most two construction areas.
[0042] Quality acceptance is conducted on key construction areas, and key quality inspection results are output. If the key quality inspection results indicate that the construction quality of the key construction area meets the standards, then the first type of quality inspection situation one is output. Based on the key quality inspection results, if there is an abnormal utilization rate of the test resource in the key construction area, then it is determined whether the utilization rate of the test resource in the ordinary construction area adjacent to the key construction area meets the standards. If yes, then there is no need to conduct construction quality sampling inspection on the ordinary construction area adjacent to the key construction area. If no, then construction quality sampling inspection is conducted on the ordinary construction area adjacent to the key construction area, and the first type of quality inspection situation two is output.
[0043] The first type of quality inspection scenario 1 and the second type of quality inspection scenario 2 are combined to form the key sampling inspection plan 1.
[0044] Specifically, the target construction area (if it's a multi-story building project, the target construction area might involve applying cement plaster to different walls within different buildings (this is just one example of a construction task), and the target construction areas might be Q1, Q2, Q3, Q4, Q5, Q6, Q7, Q8, Q9, and Q10), the construction plan (including the allocation of construction material resources (e.g., the corresponding allocation of cement, sand, etc.) and the amount of construction work (e.g., the area of walls to be constructed)), and the initial cost (e.g., based on material market prices, labor costs, and equipment prices, the required allocation of construction material resources for each construction area within the target construction area, to assess the various aspects of the target construction area). The construction cost required for the construction area includes, for example, material resources: material cost = material unit price × required quantity, labor cost = labor unit price × required man-hours, equipment cost = equipment unit price × usage time (or rental fee), total cost = material cost + labor cost + equipment cost, i.e., initial cost). Actual material resource usage (this refers to the fact that material resources allocated to each construction area in the target construction area are usually sufficient; for example, if material waste occurs, the actual material resource usage will exceed the material resource allocation corresponding to the construction task. To further determine whether material resources are fully utilized and to preliminarily determine whether there is material reduction in the construction of each construction area, subsequent material resource utilization rate analysis is needed. (Statistics) Controllable range of resource utilization (based on historical construction data from normal periods, using the maximum and minimum values of material resource redundancy to calculate the maximum and minimum resource redundancy rates, and then using these to calculate the maximum and minimum resource utilization rates, thus obtaining the controllable range of resource utilization). Abnormal utilization (highly likely due to material reduction or excessive use during construction, leading to substandard construction quality). Qualified utilization (meaning the material resource utilization rate is within a normal and controllable range, representing normal resource redundancy, thus indicating a low probability of construction quality problems, allowing for subsequent...) The probability of random inspections in construction areas is also reduced accordingly. Key construction areas and ordinary construction areas (if the key construction areas are Q4, Q5, and Q6, then the remaining target construction areas are ordinary construction areas: Q1, Q2, Q3, Q7, Q8, Q9, and Q10) are subject to quality acceptance testing for key construction areas (using existing technologies for construction quality acceptance: for example, testing instruments such as rebound hammers: in key construction areas of concrete structures, such as beams and columns, rebound hammers can be used to test the compressive strength of concrete. It calculates the concrete strength based on the rebound value by striking the concrete surface, thereby determining whether the concrete pouring quality meets the requirements; and ultrasonic testing instruments: very helpful for detecting internal defects in concrete).For example, when inspecting key construction areas of cast-in-place concrete piles, ultrasonic waves can penetrate the concrete, and parameters such as the propagation time and amplitude of the sound waves can be used to determine whether there are quality problems such as voids and cracks in the pile body. Levels and total stations are used to detect the flatness, height difference, and verticality of components in key construction areas. For example, in the acceptance of factory floor construction with high requirements for ground flatness, a level can accurately measure the height difference between different points to ensure that the ground meets the flatness standards required by the design; a total station can detect the verticality of the building's facade to ensure the construction quality of vertical components such as walls), the first type of quality inspection scenario one (i.e., the construction quality inspection results of Q4, Q5, and Q6 all meet the standards), the first type of quality inspection scenario two (if the utilization rate of the resource to be tested in Q4 is abnormal, in order to reduce the probability of misjudgment of the test results, it is necessary to judge the utilization rate of the resource to be tested in the adjacent ordinary construction areas around Q4. If it is also abnormal (it is highly likely that there is a reduction in materials or an over-standard in the construction process), then the construction quality of this adjacent ordinary construction area is randomly inspected. If it is Q3, then the suspicion of reduction in materials in the construction process can be ruled out, and there is no need to conduct targeted construction quality inspections of this adjacent ordinary construction area), key sampling inspection scheme one (i.e., the selected construction areas for construction quality inspection are Q3, Q4, Q5, and Q6).
[0045] The specific step S2 includes the following sub-steps:
[0046] If the construction quality of a key construction area fails to meet the standards in the key quality inspection results, then output the second type of quality inspection situation one. Extract the areas to be inspected from the ordinary construction areas that are adjacent to the key construction area to which the second type of quality inspection situation one belongs, conduct random inspections on the construction quality of the areas to be inspected, and output the second type of quality inspection situation two.
[0047] If the utilization rate of the resources to be tested in the remaining key areas (excluding the key construction areas belonging to the second type of quality inspection situation one) is abnormal, then the construction quality of the ordinary construction areas adjacent to the remaining key areas will be sampled and inspected, and the second type of quality inspection situation three will be output.
[0048] The second category of quality inspection scenario one, the second category of quality inspection scenario two, and the third category of quality inspection scenario three are combined to form the key sampling plan two.
[0049] Specifically, in the second category of quality inspection scenario one (if the construction quality of Q5 fails to meet the standard), and in the second category of quality inspection scenario two (since Q5 is a critical construction area, it has a correlated impact on the construction quality of adjacent ordinary construction areas. If the critical construction area and the ordinary construction areas use the same batch or source of building materials, the substandard quality of the critical construction area may be due to material quality issues. For example, if the waterproof membrane in the critical construction area is substandard, causing waterproofing failure, and the adjacent ordinary construction areas also use the same batch of membrane, then the waterproofing quality of the ordinary construction areas may also have problems. If the area to be inspected is Q7), and in the second category of quality inspection scenario three (the remaining critical areas are Q4 and Q6. If the utilization rate of the resources to be tested in Q4 fails to meet the standard, i.e., the utilization rate is abnormal, and the adjacent ordinary construction area of Q4 is Q3, then Q3 is selected for construction quality inspection),... Sampling inspection. In construction projects, critical construction areas often have higher demands for resources such as materials, equipment, and manpower. If these resources are not fully utilized in critical areas (i.e., utilization rate is substandard), it may lead to the transfer of resources to other areas, including surrounding ordinary construction areas. Sampling inspection scheme two (i.e., the selected construction areas for quality inspection are Q3, Q4, Q5, Q6, and Q7) directly selects adjacent ordinary construction areas for quality inspection. The reason for not inspecting the utilization rate of resources in ordinary construction areas is that there are substandard construction areas within the critical construction areas. Therefore, considering the impact on the construction quality of adjacent ordinary construction areas, and to reduce the omissions in the quality inspection of ordinary construction areas, the unnecessary step of judging whether the utilization rate of resources in ordinary construction areas Q3 and Q7 is abnormal is omitted.
[0050] The specific step S3 includes the following sub-steps:
[0051] Based on either Key Sampling Plan 1 or Key Sampling Plan 2, select the remaining ordinary construction areas from the ordinary construction areas, excluding those belonging to Key Sampling Plan 1 or Key Sampling Plan 2. If any of the construction areas in the remaining ordinary areas have abnormal resource utilization rates, then extract the construction areas in the remaining ordinary areas with abnormal resource utilization rates for construction quality sampling inspection, and output Ordinary Sampling Case 1.
[0052] Based on the first routine sampling inspection, extract the construction areas from the remaining routine areas whose resource utilization rate meets the standard and whose maximum and minimum utilization rates are located, and conduct construction quality sampling inspections on these areas, thus outputting the second routine sampling inspection.
[0053] If the utilization rate of the resources to be tested in the remaining ordinary areas meets the standard, then the construction areas with the maximum, minimum, and median utilization rates of the resources to be tested are extracted from the remaining ordinary areas for construction quality spot checks, and ordinary spot check result three is output.
[0054] The three ordinary sampling inspection scenarios 1, 2, and 3 are combined to form the 2-condition sampling inspection plan.
[0055] The first quality inspection plan is formed by combining the first key sampling plan and the second condition sampling plan, and the second key sampling plan is formed by combining the second condition sampling plan.
[0056] Specifically, for example, the remaining ordinary areas (if using key sampling plan one, the remaining ordinary areas are Q1, Q2, Q7, Q8, Q9, and Q10; if using key sampling plan two, the remaining ordinary areas are Q1, Q2, Q8, Q9, and Q10), ordinary sampling case one (if the remaining ordinary areas under key sampling plan one are Q1, Q2, Q7, Q8, Q9, and Q10, and further examples are given: if the utilization rate of the resources to be tested belonging to Q1 and Q10 is abnormal, then Q1 and Q10 are extracted for construction quality sampling), ordinary sampling case two (that is, extracting the two ordinary construction areas corresponding to the maximum and minimum utilization rates of the resources to be tested from Q2, Q7, Q8, and Q9, respectively, if they are Q8 and Q9), ordinary sampling case three (if the remaining ordinary areas belong to the resources to be tested... If the utilization rate meets the standard, random sampling can be conducted from Q1, Q2, Q7, Q8, Q9, and Q10. To reduce the probability of omission, the sampling with the maximum coverage is as follows: extract the construction areas belonging to the maximum, minimum, and median utilization rates of the resources to be tested from the remaining ordinary areas for construction quality sampling. If Q8 and Q9 belong to the maximum and minimum utilization rates of the resources to be tested, respectively, and if Q2 belongs to the median utilization rate of the resources to be tested in the remaining ordinary areas, then Q2, Q8, and Q9 are finally sampled for construction quality sampling inspection. First quality inspection plan (if the sampling plan under condition two is ordinary sampling situation one, then the first quality inspection plan: the sampling construction areas are Q1, Q3, Q4, Q5, Q6, and Q10), second quality inspection plan (and so on).
[0057] The specific step S4 includes the following sub-steps:
[0058] Based on the comprehensive quality inspection results of the construction quality acceptance according to the first or second quality inspection plan, the construction cost that requires secondary rework is estimated, the additional cost is output, and the initial cost and the additional cost are summed to obtain the actual cost.
[0059] The statistical comprehensive quality inspection results show the construction task volume and distribution characteristics of the construction areas with substandard construction quality. The output includes the pre-processed construction task volume and pre-processed distribution characteristics. The distribution characteristics to be measured include concentrated distribution characteristics and uniform dispersion characteristics.
[0060] Based on the concentrated or uniformly dispersed characteristics, the schedule delay correlation factor between the construction task volume and the construction delay progress is extracted from historical construction data. The schedule delay correlation factor is multiplied by the preprocessed construction task volume to predict the delayed completion progress. The initial construction progress and the delayed completion progress are summed to obtain the actual delayed construction progress.
[0061] Specifically, the comprehensive quality inspection results (for example, using the first quality inspection plan: if Q1, Q3, and Q10 out of Q1, Q3, Q4, Q5, Q6, and Q10 fail to meet quality standards, then based on the allocation of construction material resources (based on the original allocation), rework labor, and corresponding equipment required for secondary rework in the ordinary construction areas of Q1, Q3, and Q10, the rework cost is estimated, which is the same as the initial cost explanation), and the pre-processing distribution characteristics (referring to the location distribution characteristics of construction areas with substandard construction quality; if Q1, Q3, and Q10 are not adjacent to each other, and there are other uninspected ordinary construction areas and key construction areas with compliant construction quality between them, then it is judged as a uniformly dispersed characteristic. If Q1, Q3, and Q10 are adjacent to each other, then it is judged as...) For concentrated distribution characteristics), the schedule delay correlation factor (extracting historical construction task quantities (L1, L2, Ln) and construction delay progress (e.g., schedule delay duration, number of days, etc., if R1, R2, Rn) from historical construction data under the same concentrated distribution characteristics in different historical periods, and averaging the obtained ratios, which is the schedule delay correlation factor, and so on, the schedule delay correlation factor under uniform distribution characteristics, if Z), and the actual delayed construction progress (preprocessed construction task quantity * Z, if Ri, then the predicted delayed completion progress is the number of days Ri, and the actual delayed construction progress is the initial construction progress + Ri, that is, the period of schedule delay).
[0062] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.
Claims
1. A method for project cost and schedule management based on big data processing, characterized in that, Includes the following steps: Step S1: Based on the construction plan of the target construction area that needs to be constructed within the construction layer, calculate the utilization rate of the resources to be measured in each construction area of the target construction area. Based on the positional relationship of each construction area in the target construction area, extract the key construction area and ordinary construction area in the target construction area. If the key quality inspection result of the key construction area is that the construction quality of the key construction area meets the standard, then based on the non-compliance of the utilization rate of the resources to be measured in the key construction area, select some areas from the ordinary construction area for construction quality spot check and output the key spot check plan one. Step S2: If the construction quality of a key construction area is substandard in the key quality inspection results, then select an ordinary construction area that is adjacent to the key construction area with substandard construction quality for construction quality sampling inspection, and output the second key sampling inspection plan. Step S3: Based on the first or second key sampling inspection scheme, extract the construction areas from the ordinary construction areas where the utilization rate of the resource to be tested is at its maximum and minimum values under the condition of meeting the standard, and conduct construction quality sampling inspections, and comprehensively formulate the first quality inspection scheme or the second quality inspection scheme. Step S4: Based on the comprehensive quality inspection results of the construction quality acceptance of the first or second quality inspection plan, estimate the construction cost and delay in completion of the second rework required, and output the additional cost and the actual delay in construction progress.
2. The engineering cost and schedule management method based on big data processing according to claim 1, characterized in that, Step S1 includes: The target construction area within the construction layer that needs to be constructed is obtained. Based on the construction plan of the target construction area, the required construction cost is estimated to obtain the initial cost. Based on the construction plan, the construction completion period is estimated to obtain the initial construction progress. The construction plan includes the allocation of construction material resources and the amount of construction tasks. Based on the construction material resource allocation, the actual material resource usage of each construction area in the target construction area is statistically analyzed. The ratio of the construction material resource allocation to the actual material resource usage is calculated to obtain the resource utilization rate of each construction area in the target construction area. Historical construction data of the project during a historical period is obtained. Based on the historical construction data, a controllable range of resource utilization rate is preset. If the resource utilization rate to be measured is greater than or less than the controllable range of resource utilization rate, it is determined that the utilization rate is abnormal. If the resource utilization rate to be measured is equal to the controllable range of resource utilization rate, it is determined that the utilization rate meets the standard.
3. The engineering cost and schedule management method based on big data processing according to claim 2, characterized in that, Step S1 also includes: Based on the positional relationship of each construction area in the target construction area, the key construction area and ordinary construction area are extracted. The key construction area is one that has an adjacent connection with at least three construction areas, and the ordinary construction area is one that has an adjacent connection with at most two construction areas. Quality acceptance is conducted on key construction areas, and key quality inspection results are output. If the key quality inspection results indicate that the construction quality of the key construction area meets the standards, then the first type of quality inspection situation one is output. Based on the key quality inspection results, if there is an abnormal utilization rate of the test resource in the key construction area, then it is determined whether the utilization rate of the test resource in the ordinary construction area adjacent to the key construction area meets the standards. If yes, then there is no need to conduct construction quality sampling inspection on the ordinary construction area adjacent to the key construction area. If no, then conduct construction quality sampling inspection on the ordinary construction area adjacent to the key construction area and output the first type of quality inspection situation two. The first type of quality inspection scenario 1 and the first type of quality inspection scenario 2 are combined to form the key sampling inspection plan 1.
4. The engineering cost and schedule management method based on big data processing according to claim 3, characterized in that, Step S2 includes: If the construction quality of a key construction area is substandard in the key quality inspection results, then output the second type of quality inspection situation one. Extract the areas to be inspected from the ordinary construction areas that are adjacent to the key construction area to which the second type of quality inspection situation one belongs, conduct random inspections on the construction quality of the areas to be inspected, and output the second type of quality inspection situation two. If the utilization rate of the resources to be tested in the remaining key areas of the key construction areas other than the key construction areas of the second type of quality inspection situation one is abnormal, then the construction quality of the ordinary construction areas adjacent to the remaining key areas will be sampled and inspected, and the output will be the second type of quality inspection situation three. The second type of quality inspection scenario one, the second type of quality inspection scenario two, and the third type of quality inspection scenario three are combined to form the key sampling plan two.
5. The engineering cost and schedule management method based on big data processing according to claim 4, characterized in that, Step S3 includes: According to the key sampling plan one or key sampling plan two, select the remaining ordinary areas from the ordinary construction areas other than the ordinary construction areas belonging to key sampling plan one or key sampling plan two. If there are construction areas in the remaining ordinary areas where the utilization rate of the resources to be tested is abnormal, then extract the construction areas in the remaining ordinary areas where the utilization rate of the resources to be tested is abnormal and conduct construction quality sampling inspection, outputting ordinary sampling inspection situation one. Based on the first ordinary sampling inspection scenario, extract the construction areas from the remaining ordinary areas whose resource utilization rate meets the standard and whose maximum and minimum utilization rates are located, and conduct construction quality sampling inspections, thus outputting the second ordinary sampling inspection scenario.
6. The engineering cost and schedule management method based on big data processing according to claim 5, characterized in that, Step S3 also includes: If the utilization rate of the resources to be tested in the remaining ordinary areas meets the standard, then extract the construction areas with the maximum, minimum and median utilization rates of the resources to be tested from the remaining ordinary areas for construction quality spot checks, and output ordinary spot check result three. The three ordinary sampling scenarios are combined to form the Condition 2 sampling plan. The first key sampling plan and the second condition sampling plan are combined to form the first quality inspection plan, and the second key sampling plan and the second condition sampling plan are combined to form the second quality inspection plan.
7. The engineering cost and schedule management method based on big data processing according to claim 6, characterized in that, Step S4 includes: Based on the comprehensive quality inspection results of the construction quality acceptance according to the first quality inspection plan or the second quality inspection plan, the construction cost that needs to be reworked twice is estimated, and the additional cost is output. The initial cost and the additional cost are summed to obtain the actual cost. The statistical comprehensive quality inspection results show the construction task volume and distribution characteristics of the construction areas with substandard construction quality, and output the pre-processed construction task volume and pre-processed distribution characteristics. The distribution characteristics to be measured include concentrated distribution characteristics and uniform dispersion characteristics. Based on the concentrated distribution characteristics or uniform dispersion characteristics, the schedule delay correlation factor between the construction task volume and the construction delay progress is extracted from the historical construction data. The schedule delay correlation factor is multiplied by the preprocessed construction task volume to predict the delayed completion progress. The initial construction progress and the delayed completion progress are summed to obtain the actual delayed construction progress.