A method and system for managing construction engineering processing cost data

Abstract

The present invention relates to the technical field of data processing, and particularly relates to a method and system for managing construction project processing cost data. The method includes: collecting historical construction project construction data; based on the daily project quantity data and daily project material data of the construction project, analyzing the abnormal possibility of the historical construction project construction data; when there is an abnormal possibility in the historical construction project construction data, according to the complexity of the construction project, analyzing the variability of the construction project environment information data, and calculating the consistency between different environmental dimensions and the change range of the project material data; if the consistency between different environmental dimensions and the change range of the project material data is less than the screening threshold, it is determined that the currently analyzed historical construction project construction data is abnormal; by analyzing the environmental material relationship under different environments, accurate project quantity information can be obtained, and then accurate project cost information can be obtained, which is convenient for subsequent refined cost data management.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a method and system for managing construction project processing cost data. Background Art

[0002] With the rapid development of Internet technology, in the current highly digital and information-based era background, the operation mode of the construction engineering industry is undergoing a profound transformation, especially in the project management and cost control of construction projects, the transformation is particularly significant; among them, the management of processing cost data in construction projects, as the core part of project economy, it is crucial to carry out scientific and reasonable construction project cost data management work, which not only relates to the economic benefits of construction projects, but also directly affects the sustainable development of the entire construction industry.

[0003] In modern construction projects, due to the large project volume, complex engineering structure, numerous involved links, and relatively long time process, it is particularly important to control the cost of project management; however, the data management records of traditional construction project costs usually use manual recording methods to collect and organize data during the construction process. Due to factors such as a large amount of data and a relatively high possibility of manual recording errors, the data accuracy is relatively low; in addition, isolated data is difficult to effectively control and manage the costs of each link of construction in real time and accurately, which not only increases the difficulty of project management, but also raises the risk of project costs. Summary of the Invention

[0004] In order to solve the technical problem that in the data management record of construction project costs in the existing method, after collecting and organizing the data during the construction process, it is difficult to accurately judge abnormal data due to a large amount of data, manual recording, data isolation, etc., the purpose of the present invention is to provide a method and system for managing construction project processing cost data, and the specific technical solutions adopted are as follows:

[0005] Collect historical construction project construction data, where the historical construction project construction data includes daily construction quantity data of construction projects, daily project material usage data, and construction project environment information data;

[0006] Based on the daily construction quantity data and daily project material usage data of construction projects, perform an abnormal possibility analysis on the historical construction project construction data;

[0007] When there is an abnormal possibility in the historical construction project construction data, according to the complexity of the construction project, analyze the variability of the construction project environment information data, and calculate the consistency between different environment dimensions and the change range of project material usage data;

[0008] Set a screening threshold. If the consistency between different environmental dimensions and the change range of engineering material data is less than the screening threshold, it is determined that the historical building engineering construction data currently analyzed is abnormal.

[0009] Preferably, based on the daily engineering quantity data and daily engineering material data of the building project, perform an abnormal possibility analysis on the historical building engineering construction data, including:

[0010] Define the current working day of the building project to be analyzed as the target day, and calculate the difference in the engineering quantity of the target day according to the similarity of the daily progress of the building project;

[0011] Through the difference in the engineering quantity of the target day, combine the daily engineering material data to analyze the incoordination between the engineering quantity of the target day and the engineering materials;

[0012] Set a judgment threshold. When the incoordination between the engineering quantity of the target day and the engineering materials is greater than or equal to the judgment threshold, the possibility of abnormality on the target day is high.

[0013] Preferably, calculate the difference in the engineering quantity of the target day, and the corresponding calculation formula is:

[0014]

[0015] Wherein, represents the target day; represents the difference in the engineering quantity of the target day; represents the engineering quantity data completed on the target day; represents the working day of non-target days; represents the engineering quantity data completed on the working day of non-target days; represents a total of days of engineering quantity data for working days; represents mapping the numerical range to .

[0016] Preferably, analyze the incoordination between the engineering quantity of the target day and the engineering materials, and the corresponding calculation formula is:

[0017]

[0018] Wherein, represents the target day; represents the incoordination between the engineering quantity of the target day and the engineering materials; represents the difference in the engineering quantity of the target day; represents the working day of non-target days; represents the difference in the engineering quantity of the working day of non-target days; represents the engineering material data of the target day; represents the engineering material data of the working day of non-target days; Indicates the engineering quantity data and engineering material data for the total number of working days; Indicates mapping a numerical range to .

[0019] Preferably, when there is a possibility of abnormality in the historical building engineering construction data, according to the complexity of the building project, analyze the variability of the building engineering environment information data, and calculate the consistency between different environmental dimensions and the change range of the engineering material data, including:

[0020] Calculate the change range of the target day engineering quantity data and different engineering material data according to the complexity of the building project;

[0021] Construct a planar space model to cluster the change range of the target day engineering quantity data and different engineering material data, and analyze the reference of any engineering material in the cluster where the change range of the engineering quantity data is located;

[0022] Establish an environment - engineering material correspondence coefficient through the Pearson correlation coefficient, analyze the change level of the environmental dimension and the change range of the engineering material data for each working day of the building project, and calculate the consistency between different environmental dimensions and the change range of the engineering material data in combination with the reference of any engineering material in the cluster where the change range of the engineering quantity data is located.

[0023] Preferably, calculate the change range of the target day engineering quantity data and different engineering material data, and the corresponding calculation formula is:

[0024]

[0025] Wherein, represents the target day; represents the engineering quantity data completed on the target day and the daily consumption of any engineering material; represents the th dimension data parameter change range on the target day; represents the th dimension data parameter data on the target day; represents the th dimension data parameter average value; represents the rounding function; represents mapping a numerical range to .

[0026] Preferably, analyze the reference of any engineering material in the cluster where the change range of the engineering quantity data is located, and the corresponding calculation formula is:

[0027]

[0028] Wherein, Indicates the target date; Indicates the target date The reference of the project materials in the cluster where the change range of the project quantity data is located of; Indicates the total number of data points included in the cluster where the change range of the project quantity data on the target date is located; Indicates that in the cluster where the change range of the project quantity data on the target date is located, the project materials The number of data points of the change range; Indicates that in the cluster where the change range of the project quantity data on the target date is located, the project materials The number of data points of the change range; Indicates that there are different types of project materials in the cluster where the change range of the project quantity data on the target date is located; Indicates mapping the numerical range to .

[0029] Preferably, an environment-project material correspondence coefficient is established through the Pearson correlation coefficient, and the corresponding calculation formula is:

[0030]

[0031] Among them, Indicates the environment-project material correspondence coefficient of the data change amount of the environment dimension and the change range of the project material in the change level of the change range of the same building project environment dimension and project material data; The data change amount of the environment dimension and the change range of the project material Indicates the environment dimension The data change amount; Indicates the project material The change level of the change range; Indicates the calculation function of the Pearson correlation coefficient.

[0032] Preferably, calculate the consistency between different environment dimensions and the change range of project material data, and the corresponding calculation formula is:

[0033]

[0034] Among them, Indicates the target date; Indicates the consistency between the environment dimension corresponding to the change level of the change range of the project quantity data on the target date and the change range of the project material data under this environment dimension; Indicates that in the change level of the change range of the same building project environment dimension and project material data, the data change amount of the environment dimension and the project material Environmental-engineering material corresponding coefficient of the change range Engineering materials representing the target date Change level of the change range Indicates that in the cluster corresponding to the change level of the change range of the engineering quantity on the target date, the engineering materials Average value of the change level of the change range Indicates the target date Reference of the engineering materials in the cluster where the change range of the engineering quantity data is located on the target date Reference Indicates that there are a total of different kinds of engineering materials in the cluster where the change range of the engineering quantity on the target date is located Indicates mapping the numerical range to .

[0035] To solve the above technical problems, the present application also provides a building engineering processing cost data management system. The system stores program data, and when the program data is executed, it implements a building engineering processing cost data management method as described in any one of the foregoing.

[0036] The present invention has the following beneficial effects:

[0037] 1. Compared with the existing historical building engineering construction data, the present invention analyzes the problems encountered in the actual construction process of the engineering construction, analyzes the construction environment of the building engineering, and studies the relationship between the engineering materials involved in the construction process. By analyzing the environmental material relationship under different environments, accurate engineering quantity information is obtained, and then accurate project cost information can be obtained, which is convenient for subsequent refined cost data management; through refined cost data management, accurate and timely financial information can be provided to help project managers, investors and stakeholders make more scientific and reasonable investment, planning and execution decisions; based on the analysis of historical building engineering construction data, the capital allocation is optimized to reduce the risks of building engineering projects.

[0038] 2. A building engineering processing cost data management system provided by the present invention has the same beneficial effects as a building engineering processing cost data management method provided by the present invention, and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0040] Figure 1 The flowchart of the steps of a construction project processing cost data management method provided by an embodiment of the present invention. Specific embodiments

[0041] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following describes in detail a construction project processing cost data management method and system proposed according to the present invention, its specific implementation manner, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0043] The following specifically describes the specific solutions of a construction project processing cost data management method and system provided by the present invention in conjunction with the accompanying drawings.

[0044] The data management records of traditional construction project costs usually use manual recording methods to collect and organize data during the construction process. Factors such as a large number of data and a high possibility of errors in manual recording result in low data accuracy and may also have isolated data, leading to difficulties in construction project management. In one embodiment of the present invention, a construction project processing cost data management method is provided, which analyzes historical construction project construction data, analyzes the construction environment of the construction project and studies the relationship between the project materials involved in the construction process according to the problems encountered in the actual construction process, analyzes the relationship between environmental materials under different environments, obtains accurate project quantity information, and thus can obtain accurate project cost information. To implement a construction project processing cost data management method, a construction project processing cost data management system is provided. This system is essentially a software system composed of various modules that implement corresponding functions. The specific steps in this method are introduced in detail below.

[0045] Please refer to Figure 1 , which shows the flowchart of the steps of a construction project processing cost data management method provided by an embodiment of the present invention. The method includes:

[0046] Step S1: Collect historical construction project construction data, where the historical construction project construction data includes daily project quantity data of the construction project, daily project material data, and construction project environment information data;

[0047] Step S2: Based on the daily engineering quantity data and daily engineering material data of the construction project, conduct an analysis of the possibility of anomalies in the historical construction project data;

[0048] Step S3: When there is a possibility of anomalies in the historical construction project data, analyze the variability of the construction project environment information data according to the complexity of the construction project, and calculate the consistency between different environmental dimensions and the change range of the engineering material data;

[0049] Step S4: Set a screening threshold. If the consistency between different environmental dimensions and the change range of the engineering material data is less than the screening threshold, it is determined that the historical construction project data currently being analyzed is abnormal.

[0050] For better illustration, the processing cost data of the construction project refers to the cost information related to material processing, component manufacturing, and on-site construction in the construction project. It usually includes material costs, labor costs, machinery usage costs, and related management costs, etc. It is an important part of evaluating the overall cost of the construction project and has important reference value for aspects such as project budgeting, tendering quotes, and cost control.

[0051] It can be understood that in today's construction projects, the cost management usually adopts the unit price contract system, which manages the cost of the entire project by accurately calculating the engineering quantity. In this process, the unit price of the engineering materials is determined according to the material quotas released in the market; since the amount of the engineering quantity can directly reflect the level of the project cost, there is a very close correlation between the project cost and the engineering quantity; therefore, for the cost management of the construction project processing, it is particularly crucial to judge the accuracy of the engineering quantity data; only by mastering the accurate engineering quantity data can accurate project cost data be calculated, and then the construction project can be effectively controlled and managed to ensure the smooth progress of the project and the effective control of costs.

[0052] Explanation is made that in Step S1, the historical construction project data includes the daily engineering quantity data, daily engineering material data, and construction project environment information data of the construction project. Among them, in this embodiment, the daily engineering quantity data refers to the number of meters of the road surface laid daily; the daily engineering material data refers to the quantity and types of various materials used daily; the construction project environment information data refers to the ground elevation data, foundation data, etc. in the construction project. The ground elevation data represents the vertical height information of each point on the ground measured, and the foundation data involves key parameters such as the type, depth, and bearing capacity of the foundation; in addition, the construction project environment information data may also include information in many aspects such as soil composition, groundwater level, and surrounding environment impact assessment.

[0053] Furthermore, Step S2 includes:

[0054] Step S21: Define the current construction workday to be analyzed as the target day, and calculate the difference in the amount of work for the target day based on the similarity of the daily progress of the construction project.

[0055] It can be understood that in actual work, the construction progress of a building project is continuous and planned. Therefore, the planned arrangement of the amount of work per day often shows a certain regularity and similarity. Usually, the number of staff on a project by the engineering team does not change much. Therefore, when arranging the project progress, the planned amount of work per day often remains the same, that is, the amount of work completed per day is similar. In other words, the daily work amount data is similar. Therefore, when there is a significant deviation between the amount of work on the target day and the amount of work on non-target workdays, it is inferred that there may be an abnormal situation with the amount of work on the target day.

[0056] Furthermore, in step S21, to calculate the difference in the amount of work for the target day, the corresponding calculation formula is:

[0057]

[0058] where, represents the target day; represents the difference in the amount of work for the target day; represents the amount of work data completed on the target day; represents the non-target workday; represents the amount of work data completed on the non-target workday; represents a total of days of work amount data; represents mapping the numerical range to .

[0059] It should be noted that when the difference in the amount of work between the target day and the non-target workday is large, the amount of work data on the target day is more likely to be abnormal; that is, the larger it is, the greater the possibility that the amount of work on the target day is abnormal.

[0060] It can be understood that in the actual process of project construction, emergency situations such as rushing the construction period may occur, resulting in a significant difference in the amount of work on a certain day compared with other workdays. However, this difference does not mean that there is any abnormal situation with the amount of work on that day. In fact, there is a close relationship between the amount of work in the construction process of a building project and its engineering materials; that is, when the amount of work increases, correspondingly, the amount of engineering materials consumed will also increase.

[0061] Step S22: Through the difference in the amount of work for the target day, combine the daily engineering material data to analyze the incoordination between the amount of work on the target day and the engineering materials.

[0062] It is explained that in the disharmony between the project quantity and the project materials, the disharmony may stem from various reasons, such as inaccurate budget estimation, improper management of material procurement, waste during the construction process, or changes in material demand due to design changes. When the project quantity is greater than the project material data, it may lead to project delays, and then the disharmony between the project quantity and the project materials occurs; conversely, if there is too much project material while the actual project quantity is small, it will cause waste of materials and the disharmony between the project quantity and the project materials will also occur; while in the normal situation of rushing the construction period, the disharmony between the project quantity and the project materials will not occur.

[0063] Furthermore, in step S22, analyzing the disharmony between the project quantity on the target day and the project materials, the corresponding calculation formula is:

[0064]

[0065] Among them, represents the target day; represents the disharmony between the project quantity on the target day and the project materials; represents the difference in the project quantity on the target day; represents the working days other than the target day; represents the difference in the project quantity of the working days other than the target day; represents the project material data on the target day; represents the project material data of the working days other than the target day; represents there are days of project quantity data and project material data for working days; represents mapping the numerical range to .

[0066] It is explained that represents the ratio of the project quantity to the project materials on the target day, denoted as the material - labor ratio; of the project quantity and the project materials, denoted as the material - labor ratio; represents the working days other than the target day of the material - labor ratio. When the difference in the material - labor ratio between the two is larger, that is, is larger, it indicates that the disharmony between the project quantity on the target day and the project materials is greater, indicating poor coordination between the two; it can be understood that when there is a situation of rushing the construction on the target day, that is, when the project quantity data on the target day is larger and the corresponding project material data is also larger, the disharmony between the project quantity and the project materials is smaller, and the target day is determined to be under normal construction.

[0067] Step S23: Set a judgment threshold. When the disharmony between the project quantity on the target day and the project materials is greater than or equal to the judgment threshold, the possibility of abnormality on the target day is high.

[0068] As an alternative implementation, in this embodiment, the judgment threshold is .

[0069] It can be explained that when , it indicates that the greater the disharmony between the project quantity and the project materials used, the greater the possibility that the daily project quantity data is abnormal; conversely, when , it indicates that the disharmony between the project quantity and the project materials used is smaller, indicating that the project quantity data for the target day is normal.

[0070] For better illustration, due to the relatively high complexity of roads in construction projects, the requirements for construction conditions are naturally relatively high. On different working days, the conditions of the paved sections will vary, directly resulting in changes in the construction difficulty coefficient. Specifically, during the construction process, the topographical conditions of the sections, such as the undulation and bend changes of the sections, will have a significant impact on the project quantity data of the construction project. When the section conditions are better, its complexity coefficient is lower, the project quantity data is correspondingly larger, and the project material data will also increase accordingly. Due to the diverse section changes, there are sections with poor construction conditions. For example, the foundation quality is poor and more foundation landfill treatment is required; or the elevation changes of the slopes on both sides of the section are large and slope treatment is required; or there are many road bends, resulting in an increase in the waste of project materials. In this embodiment, the daily project quantity data is counted based on the number of meters of road surface paved per day. However, an increase in construction difficulty means that even if the project quantity data is low, the consumption of project materials may still be large. Therefore, this complexity affects the judgment of the accuracy of the project quantity. So, when analyzing the abnormality of the project quantity data, more detailed analysis and evaluation are required.

[0071] Due to the differences in section conditions, different project materials are used. For example, when the section foundation is poor, excavation and filling treatment are required. At this time, it is necessary to select appropriate cushion materials for foundation treatment according to the actual situation and then carry out road surface paving. Therefore, the consumption of different project materials corresponds to different construction project environment information data. So, it is crucial to select the raw material that has the greatest impact on the project quantity data according to the changes in the construction project environment. That is, if under the environmental conditions on the target day, the consumption of the project material with the greatest impact is the most reference-worthy raw material in this environment, it indicates that the current project quantity is caused by the raw material in this environment, which belongs to the normal situation; conversely, if there is an abnormality, the reason needs to be further investigated.

[0072] Understandably, when analyzing the different engineering materials consumed during a working day, which represent the environmental conditions of different road sections; therefore, when the engineering quantity data changes, this change will be directly reflected in the consumption of engineering materials. That is, the changes in the consumption of different engineering materials can be used as an important reference index for the change in engineering quantity. For example, if the engineering quantity on a certain working day increases by a specific proportion, then in the scenario of paving the road surface, the consumption of concrete, an engineering material, also increases by the corresponding proportion, indicating a very high correlation, that is, a strong correlation, between the consumption of concrete and the engineering quantity. Therefore, by only paying attention to the change in the consumption of concrete, one can have a clear understanding of the change in the engineering quantity. Conversely, if the engineering quantity on a certain working day decreases by a specific proportion, but the consumption of earthwork filling material, an engineering material, on that day increases, it means that the part of the decrease in the engineering quantity is due to the increase in earthwork landfill operations. Therefore, different engineering quantity change values correspond to different engineering material change situations, that is, different engineering quantity change amplitudes correspond to different engineering material change amplitudes. Therefore, by calculating the change amplitudes of the consumption of different engineering materials, the reference value for the change in the engineering quantity change amplitude can be evaluated. In other words, the greater the contribution rate of a certain engineering material in the consumption, the greater the reference value of the engineering quantity of the corresponding road section.

[0073] Further, step S3 includes:

[0074] Step S31: Calculate the change amplitudes of the target day's engineering quantity data and different engineering material data according to the complexity of the construction project.

[0075] Specifically, based on the engineering quantity data and daily engineering material data of all construction project working days, calculate the mean values to obtain the mean values of the engineering quantity data and different engineering materials respectively. Taking these mean values as the standard values, then calculate the differences from the standard values according to the engineering material situation and engineering quantity data of each working day and perform normalization processing to convert them into dimensionless relative values for more convenient comparison and evaluation.

[0076] Further, in step S31, the formula for calculating the change amplitudes of the target day's engineering quantity data and different engineering material data is as follows:

[0077]

[0078] Wherein, represents the target day; represents the engineering quantity data completed on the target day and the daily consumption of any engineering material; represents the change amplitude of the th dimensional data parameter on the target day; represents the data of the th dimensional data parameter on the target day; denotes the average value of the data parameters of the th dimension; denotes the rounding function; denotes mapping the numerical range to .

[0079] is explained as denotes the difference between the data of the data parameters of the th dimension on the target day and its average value. When the difference is larger, it indicates that the change range of the corresponding th dimension data parameter is larger; Optionally, in this embodiment, by analyzing and obtaining the change ranges shown by the data parameters of different dimensions, they are quantitatively divided into 10 integer-level classifications, such as 1, 2, 3..., and the classified change ranges are recorded as change levels. That is, classifying the change ranges is to ensure that the change range of each engineering quantity data can correspond to its specific engineering material change range, and it is regarded as a kind of engineering environment situation, that is, determined as a kind of building engineering environment information data, effectively avoiding the possible influence caused by the slight change of the engineering quantity; In addition, quantification is to eliminate the interference caused by the slight change of the engineering quantity data and the different usage levels of different engineering materials. For example, in a certain construction situation, the engineering quantity changes greatly, and the change of its main engineering materials is small, but the change range of a certain engineering material that is usually used less is large. The change range of this engineering material is used to represent this engineering quantity situation.

[0080] Step S32: Construct a plane space model to cluster the change ranges of the target day engineering quantity data and different engineering material data, and analyze the reference of any engineering material in the cluster where the change range of the engineering quantity data is located.

[0081] As an optional implementation manner, the plane space model is constructed with the change range of the engineering quantity as the horizontal axis and the change range of the engineering material as the vertical axis.

[0082] It can be understood that a plane space model is constructed to map the change range of the daily engineering quantity and the change ranges of each engineering material into the plane space model; density clustering is used to cluster the data points of the aforementioned change ranges to obtain the clusters of the change ranges of each engineering quantity. Among them, density clustering is a density-based clustering method that divides the areas with high density into one cluster and regards the low-density areas as noise or boundary areas; calculate the proportion of the number of the change ranges of each engineering material in the cluster corresponding to the change range of each engineering quantity. The more the proportion of a certain engineering material in this cluster, the greater the influence of this engineering material on the change range of the engineering quantity, indicating that the reference of this engineering material to the change range of the engineering quantity is greater.

[0083] Further, in step S32, the reference of any engineering material in the cluster where the change range of the engineering quantity data is analyzed is calculated by the following formula:

[0084]

[0085] where represents the target date; represents the target date the reference of the engineering material in the cluster where the change range of the engineering quantity data is located ; represents the total number of data points included in the cluster where the change range of the engineering quantity data on the target date is located; represents, in the cluster where the change range of the engineering quantity data on the target date is located, the number of data points of the change range of the engineering material ; represents, in the cluster where the change range of the engineering quantity data on the target date is located, the number of data points of the change range of the engineering material ; represents the total number of different engineering materials existing in the cluster where the change range of the engineering quantity data on the target date is located; represents mapping the numerical range to .

[0086] It should be noted that when the quantity difference between the currently analyzed engineering material and the other engineering materials in its corresponding cluster is larger, it indicates that under the change range of the engineering quantity corresponding to this cluster, the reference of its engineering material is greater, that is is larger.

[0087] It can be understood that in order to accurately calculate the consistency between different environmental dimensions and the change range of engineering material data, the terrain change at the location of the road section laid on the target date is taken as a specific case for analysis. For example, on the target date, if the road environment conditions on both sides of the laid road section are poor, then when laying the road surface, additional soil materials may be required for backfilling work; in this case, there is a high correlation between the change range of the engineering quantity in the working environment and the usage amount of soil materials in the engineering materials; that is, in this specific environment, the change range of the engineering quantity mainly depends on the change range of the engineering materials, so an environment-engineering material correspondence coefficient is established to reflect the proportional relationship between the environmental dimension and the engineering materials.

[0088] Step S33: Establish an environment-engineering material correspondence coefficient through the Pearson correlation coefficient, analyze the change levels of the environmental dimension and the change range of engineering material data for each working day of the construction project, and combine the reference of any engineering material in the cluster where the change range of the project quantity data is located to calculate the consistency between different environmental dimensions and the change range of engineering material data.

[0089] It should be noted that the Pearson correlation coefficient is a method used to measure the degree of linear correlation between two variables. The value range of this coefficient is between -1 and 1, where 1 represents a perfect positive correlation, -1 represents a perfect negative correlation, and 0 represents no linear correlation; establish an environment-engineering material correspondence coefficient through the Pearson correlation coefficient to indicate the correlation between the environmental dimension and the engineering materials.

[0090] Furthermore, in step S33, an environment-engineering material correspondence coefficient is established through the Pearson correlation coefficient, and the corresponding calculation formula is:

[0091]

[0092] where, represents the environment-engineering material correspondence coefficient of the data change amount of the environmental dimension and the change range of the engineering material in the change level of the environmental dimension and the change range of the engineering material data in the same construction project environment; represents the data change amount of the environmental dimension; represents the change range of the engineering material; represents the environmental dimension; represents the data change amount; represents the engineering material; represents the change level of the change range; represents the calculation function of the Pearson correlation coefficient.

[0093] It should be noted that in the change level corresponding to the change range of the current analyzed project quantity, the higher the correlation between the change of the environmental dimension and the change range of a certain raw material in the engineering materials, that is, the larger it is, it means that in this change level, the data change amount of the environmental dimension is mainly related to the engineering material . This shows that under the environmental dimension , the change level corresponding to the change range of the project quantity is caused by the relatively large change of the change range of the engineering material.

[0094] It can be explained that represents the data change amount of the environmental dimension, which represents the degree of change of the data within the environmental dimension over time, such as the change of elevation data and foundation data in the construction project, etc., combined with Through analysis, researchers can gain a quantitative understanding of the impact of environmental dimensions on construction projects for subsequent analysis.

[0095] Understandably, under the change level corresponding to the change range of the project quantity on the target day, whether the change situation of the environmental dimension of the section laid on the target day is consistent with the change range of the project materials corresponding to this environmental situation, and whether the change range of the project materials with the greatest influence on the correlation change is consistent. The higher this consistency, the higher the consistency of the change range of the project material data under the change level corresponding to the change range of the project quantity on the target day.

[0096] Furthermore, in step S33, calculate the consistency between different environmental dimensions and the change range of project material data, and the corresponding calculation formula is:

[0097]

[0098] where represents the target day; represents the consistency between the environmental dimension corresponding to the change level of the change range of the project quantity data on the target day and the change range of the project material data under this environmental dimension; represents that in the same construction project environmental dimension and the change level of the change range of project material data, the environmental dimension data change amount and the environmental-project material corresponding coefficient of the change range of project materials ; represents the change range of the project materials on the target day change level; represents the average value of the change levels of the change ranges of project materials in the cluster corresponding to the change level of the change range of the project quantity on the target day; ; represents the reference of the project materials in the cluster where the change range of the project quantity data on the target day is located; ; represents the total number of different project materials in the cluster where the change range of the project quantity on the target day is located; represents mapping the numerical range to .

[0099] It can be explained that determine the standard value of the change range of the project material data under the change level of the change range of the project quantity on the target day, and use the average value of the change levels of the change ranges of each project material in the cluster under this change level as the standard value of the change range of each project material data under the change level of the project quantity.

[0100] It is explained that in the same change level of the change range of the construction project environment dimension and the project material data, the same environment dimension Among them, taking the change level of the change range of each project material under this environment dimension And the environment-project material corresponding coefficient of the environment dimension as the weight, and the reference product of the project materials in the cluster where the change range of the project quantity data is located as the weight, that is , when the correlation of the project material under this environment dimension is better, the reference of the project material under the project quantity is greater, then the change level of the change range of the project material on the target date is more similar to the change level of the change range of the project material under this environment dimension, which means that the reason for the change in the project quantity data caused by the change in the project material situation on the target date is more likely to be an environmental factor, that is, the consistency between the change level of the change range of the project quantity data corresponding to the environment dimension and the change range of the project material data under this environment dimension is greater, that is The greater.

[0101] It can be explained that in step S4: set a screening threshold. If the consistency between different environment dimensions and the change range of project material data is less than the screening threshold, it is determined that the historical construction project construction data currently analyzed is abnormal.

[0102] As an optional implementation method, the screening threshold is denoted as , and The specific value of is determined according to the actual work standard of the section currently analyzed.

[0103] Specifically, when the target date , it means that the possibly abnormal project quantity data judged above is a normal project quantity situation, and the possibility of its abnormality is caused by the change of the construction project environment. This situation is based on the fact that the construction project is normal; on the contrary, when , it means that the possibly abnormal project quantity data judged above is determined to be abnormal, which will cause an abnormal dislocation of the project cost data on the current day, thereby affecting the management of the data.

[0104] Optionally, systematic warning prompts can be given for the determined abnormal historical construction project construction data, and the staff can be prompted by sound or light; then, according to the need, manual inspection is carried out to check whether there is an error in the recording of the project quantity data or an error in the recording of the project material data.

[0105] Understandably, compared with the existing historical building construction data, the present invention analyzes the problems encountered in the actual construction process of the project construction, analyzes the construction environment of the building project, and studies the relationship between the engineering materials involved in the construction process. By analyzing the relationship between the environmental materials in different environments, accurate project quantity information is obtained, and then accurate project cost information can be obtained, which is convenient for subsequent refined cost data management; through refined cost data management, accurate and timely financial information can be provided to help project managers, investors and stakeholders make more scientific and reasonable investment, planning and execution decisions; based on the analysis of historical building construction data, the capital allocation is optimized and the risks of building engineering projects are reduced.

[0106] An embodiment of the present invention proposes a building engineering processing cost data management system. The system stores program data, and when the program data is executed, it implements a building engineering processing cost data management method as described in the foregoing embodiment; this system has the same beneficial effects as the foregoing provided building engineering processing cost data management method, and will not be elaborated here.

[0107] Understandably, when the modules of a building engineering processing cost data management system are operating, it is necessary to use the building engineering processing cost data management method provided by the foregoing embodiment. Therefore, whether the method and the program data are integrated or different hardware is configured to generate functions similar to the effects achieved by the present invention, they all fall within the protection scope of the present invention.

[0108] It should be noted that the above sequence of embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0109] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments.

Claims

1. A method for managing construction engineering processing cost data, characterized in that The method includes: Collecting historical construction project data, where the historical construction project data includes daily construction quantity data of the construction project, daily project material usage data, and construction project environment information data; Based on the daily construction quantity data and daily project material usage data of the construction project, performing an abnormal possibility analysis on the historical construction project data; When there is an abnormal possibility in the historical construction project data, according to the complexity of the construction project, analyzing the variability of the construction project environment information data, and calculating the consistency between different environmental dimensions and the change range of the project material usage data; Setting a screening threshold. If the consistency between different environmental dimensions and the change range of the project material usage data is less than the screening threshold, it is determined that the historical construction project data currently being analyzed is abnormal; Calculating the consistency between different environmental dimensions and the change range of the project material usage data includes: Defining the working day of the construction project currently to be analyzed as the target day, and according to the complexity of the construction project, calculating the change ranges of the target day construction quantity data and different project material usage data; Constructing a planar space model to cluster the change ranges of the target day construction quantity data and different project material usage data, and analyzing the referenceability of any project material in the cluster where the change range of the construction quantity data is located; Establishing an environment-project material correspondence coefficient through the Pearson correlation coefficient, analyzing the change levels of the environmental dimensions and the change ranges of the project material usage data for each working day of the construction project, and calculating the consistency between different environmental dimensions and the change ranges of the project material usage data in combination with the referenceability of any project material in the cluster where the change range of the construction quantity data is located; Based on the daily construction quantity data and daily project material usage data of the construction project, performing an abnormal possibility analysis on the historical construction project data includes: Calculating the difference in the target day construction quantity according to the similarity of the daily progress of the construction project; Based on the difference in the target day construction quantity, analyzing the incoordination between the target day construction quantity and the project materials in combination with the daily project material usage data; Setting a judgment threshold. When the incoordination between the target day construction quantity and the project materials is greater than or equal to the judgment threshold, the possibility of abnormality on the target day is high.

2. The method for managing construction engineering processing cost data according to claim 1, wherein The formula for calculating the difference in the target day construction quantity is: Among them, represents the target date; represents the difference in the project quantity on the target date; represents the project quantity data completed on the target date; represents the working days other than the target date; represents the project quantity data completed on the working days other than the target date; represents a total of days of project quantity data for working days; represents mapping the numerical range to .

3. A method for managing construction engineering processing cost data as described in claim 1, characterized in that, The formula for analyzing the incoordination between the target day construction quantity and the project materials is: Among them, represents the target date; represents the incoordination between the project quantity and engineering materials on the target date; represents the difference in project quantity on the target date; represents the working days other than the target date; represents the difference in the project quantity of the working days other than the target date; represents the engineering material data on the target date; represents the engineering material data of the working days other than the target date; represents a total of the project quantity data and engineering material data for the working days; represents mapping the numerical range to .

4. The management method of construction engineering processing cost data according to claim 1, characterized in that, The formula for calculating the change ranges of the target day construction quantity data and different project material usage data is: Among them, represents the target date; represents the engineering quantity data completed on the target date and the daily consumption of any engineering materials; represents the change range of the th dimensional data parameter on the target date; represents the data of the th dimensional data parameter on the target date; represents the average value of the th dimensional data parameter; represents the rounding function; represents mapping the numerical range to .

5. The method for managing construction engineering processing cost data according to claim 1, characterized in that, The formula for analyzing the referenceability of any project material in the cluster where the change range of the construction quantity data is located is: Among them, represents the target date; represents the target date the reference of the engineering materials in the cluster where the change range of the project quantity data is located is; represents the total number of data points included in the cluster where the change range of the project quantity data on the target date is located; represents in the cluster where the change range of the project quantity data on the target date is located, the engineering materials the number of data points of the change range; represents in the cluster where the change range of the project quantity data on the target date is located, the engineering materials the number of data points of the change range; represents the total number of different engineering materials existing in the cluster where the change range of the project quantity data on the target date is located; represents mapping the numerical range to .

6. The method for managing construction project processing cost data according to claim 1, wherein The formula for establishing an environment-project material correspondence coefficient through the Pearson correlation coefficient is: Among them, represents the environmental-engineering material corresponding coefficient of the change amount of data in the environmental dimension and the change range of engineering material data in the same building engineering environment dimension and change level; the change amount of data and the change range of engineering materials represents the environmental dimension the change amount of data; represents the change level of the change range of engineering materials ; represents the calculation function of the Pearson correlation coefficient.

7. The method for managing construction engineering processing cost data according to claim 6, characterized in that, The formula for calculating the consistency between different environmental dimensions and the change ranges of the project material usage data is: Among them, represents the target date; represents the consistency between the environmental dimension corresponding to the change level of the change range of the target date project quantity data and the change range of the project material data under this environmental dimension; represents that in the same building project environmental dimension and the change level of the change range of the project material data, the environmental dimension data change amount and project material environmental - project material corresponding coefficient of the change range; represents the change level of the change range of the project material on the target date; represents the average change level of the change range of the project material in the cluster corresponding to the change level of the change range of the project quantity on the target date; represents the referenceability of the project material in the cluster where the change range of the project quantity data on the target date is located; ; represents that there are different project materials in the cluster where the change range of the project quantity on the target date is located; represents mapping the numerical range to .

8. A building engineering processing cost data management system, characterized in that, The system stores program data, and when the program data is executed, it implements a method for managing construction project processing cost data as described in any one of claims 1-7.

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