Construction engineering processing cost data management method and system

Abstract

The invention relates to the technical field of data processing, in particular to a building engineering processing cost data management method and system, and the method comprises the steps: collecting historical building engineering construction data; performing abnormal possibility analysis on the historical building engineering construction data based on the daily engineering quantity data and the daily engineering material data of the building engineering; when the historical building engineering construction data has an abnormal possibility, analyzing the variability of the building engineering environment information data according to the complexity of the building engineering, and calculating the consistency between different environment dimensions and the change amplitude of the engineering material data; if the consistency between the different environment dimensions and the change amplitude of the engineering material data is smaller than a screening threshold value, it is determined that the currently analyzed historical building engineering construction data is abnormal; according to the method, accurate project amount information is obtained by analyzing the environmental material use relationship in different environments, so that accurate project cost information can be obtained, and subsequent refined cost data management is facilitated.

Description

Technical Field

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

[0002] With the rapid development of Internet technology, in today's highly digital and information-based era, the operating model of the construction industry is undergoing a profound change, especially in the project management and cost control of construction projects. Among them, the processing cost data management of construction projects is a core component of engineering economics. It is very important to carry out scientific and reasonable construction cost data management, which is not only related to the economic benefits of construction projects, but also directly affects the sustainable development of the entire construction industry.

[0003] In modern construction projects, cost control is particularly important for project management due to its large scale, complex structure, many links involved and relatively long time process. However, traditional construction project cost data management records usually use manual recording methods to collect and organize data during the construction process. Due to factors such as the large amount of data and the high possibility of errors in manual recording, the data accuracy is low. In addition, isolated data makes it difficult to conduct effective cost control management of each link of construction in real time and accurately, which not only increases the difficulty of project management, but also increases the risk of project cost. Summary of the invention

[0004] In order to solve the technical problems of inaccurate judgment of abnormal data in the existing method for data management and recording of construction project cost after collecting and collating the data in the construction process due to the large amount of data, manual recording, data isolation, etc., the purpose of the present invention is to provide a construction project processing cost data management method and system, and the technical scheme adopted is as follows: Collecting historical construction project construction data, wherein the historical construction project construction data includes daily construction project quantity data, daily construction material data and construction project environmental information data; Based on the daily construction quantity data and daily engineering material data of the construction project, the abnormal possibility analysis of the historical construction project construction data is carried out; When there is a possibility of anomalies in the historical construction data, the variability of the construction project environmental information data is analyzed according to the complexity of the construction project, and the consistency between the change range of different environmental dimensions and the engineering material data is calculated; A screening threshold is set. If the consistency between the change range of different environmental dimensions and engineering material data is less than the screening threshold, it is determined that the historical construction data currently being analyzed is abnormal.

[0005] Preferably, based on the daily construction quantity data and daily construction material data of the construction project, an abnormal possibility analysis is performed on the historical construction project construction data, including: Define the current construction project working day to be analyzed as the target day, and calculate the difference in the target day's construction volume based on the similarity of the daily progress of the construction project; Through the differences in the target day engineering quantity and combined with the daily engineering material data, the inconsistency between the target day engineering quantity and engineering materials is analyzed; Set a judgment threshold. When the inconsistency between the target day's engineering quantity and the engineering materials is greater than or equal to the judgment threshold, there is a high possibility that there is an abnormality on the target day.

[0006] Preferably, the difference in target daily engineering quantity is calculated, and the corresponding calculation formula is: in, Indicates the target day; Indicates the variability of the target daily project volume; Indicates the engineering quantity data completed on the target date; represents a weekday that is not a target day; Indicates the engineering quantity data completed on working days other than the target days; Indicates shared Engineering quantity data for the working day; Indicates mapping the value range to .

[0007] Preferably, the inconsistency between the target daily construction volume and the construction materials is analyzed, and the corresponding calculation formula is: in, Indicates the target day; Indicates the inconsistency between the target daily construction volume and the materials used in the project; Indicates the variability of the target daily project volume; represents a weekday that is not a target day; Indicates the variability of the work volume on non-target days; Indicates the engineering material data on the target date; Indicates the engineering material data for working days other than the target day; Indicates shared The engineering quantity data and engineering material data for the working day; Indicates mapping the value range to .

[0008] Preferably, when there is a possibility of abnormality in the historical construction project construction data, the variability of the construction project environmental information data is analyzed according to the complexity of the construction project, and the consistency between the variation range of different environmental dimensions and the engineering material data is calculated, including: According to the complexity of the construction project, calculate the change range of the target daily construction quantity data and the data of different project materials; A plane spatial model is constructed to cluster the change range of the target day engineering quantity data and the data of different engineering materials, and the reference of any engineering material in the cluster where the change range of the engineering quantity data is located is analyzed; The environment-engineering material correspondence coefficient is established through the Pearson correlation coefficient, and the change level of the environmental dimension and the engineering material data of each working day of the construction project is analyzed. Combined with the reference of any engineering material in the cluster where the change range of the engineering quantity data is located, the consistency between the change range of different environmental dimensions and engineering material data is calculated.

[0009] Preferably, the target day engineering quantity data and the variation range of different engineering material data are calculated, and the corresponding calculation formula is: in, Indicates the target day; Indicates the engineering quantity data completed on the target day and the daily consumption of any engineering material; Indicates the target date The change range of the data parameters of each dimension; Indicates the target date Data of dimensional data parameters; Indicates The average value of the dimension data parameter; represents the rounding function; Indicates mapping the value range to .

[0010] Preferably, the reference of any engineering material in the cluster where the variation range of the engineering quantity data is located is analyzed, and the corresponding calculation formula is: in, Indicates the target day; Indicates target date Engineering materials in the cluster where the change range of engineering quantity data is located Reference value; The total number of data points contained in the cluster that represents the change range of the target day's engineering quantity data; In the cluster that represents the change range of the target day engineering quantity data, the engineering materials The number of data points of the magnitude of change; In the cluster that represents the change range of the target day engineering quantity data, the engineering materials The number of data points of the magnitude of change; Indicates that the target day engineering quantity data change range exists in the cluster Different engineering materials; Indicates mapping the value range to .

[0011] Preferably, the environment-engineering material correspondence coefficient is established by the Pearson correlation coefficient, and the corresponding calculation formula is: in, Indicates that in the same construction project environment dimension and the change level of the engineering material data, the environmental dimension Data changes and engineering materials The environmental-engineering material correspondence coefficient of the change range; Represents environmental dimensions The amount of data change; Indicates engineering materials The degree of change of the magnitude of change; Represents the calculation function of Pearson's correlation coefficient.

[0012] Preferably, the consistency between the variation range of different environmental dimensions and engineering material data is calculated, and the corresponding calculation formula is: in, Indicates the target day; Indicates the consistency between the environmental dimension corresponding to the change level of the change range of the target day engineering quantity data and the change range of the engineering material data under the environmental dimension; Indicates that in the same construction project environment dimension and the change level of the engineering material data, the environmental dimension Data changes and engineering materials The environmental-engineering material correspondence coefficient of the change range; Indicates the project materials required on the target date The degree of change of the magnitude of change; Indicates that in the cluster corresponding to the change level of the change in the project quantity on the target day, the project materials The mean of the change level of the change magnitude; Indicates the target date Engineering materials in the cluster where the change range of engineering quantity data is located Reference value; The clusters representing the change in the target daily project volume have Different engineering materials; Indicates mapping the value range to .

[0013] In order to solve the above technical problems, the present application also provides a construction engineering processing cost data management system, the system stores program data, and when the program data is executed, a construction engineering processing cost data management method as described in any of the above items is implemented.

[0014] The present invention has the following beneficial effects: 1. Compared with the existing historical construction data of building projects, 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, and obtains accurate engineering quantity information by analyzing the relationship between environmental materials in different environments, thereby obtaining accurate engineering cost information, 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 construction data of building projects, funds allocation can be optimized and the risk of construction projects can be reduced.

[0015] 2. A construction engineering processing cost data management system provided by the present invention has the same beneficial effects as a construction engineering processing cost data management method provided by the present invention, and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of the steps of a construction engineering processing cost data management method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a construction engineering processing cost data management method and system proposed by the present invention, its specific implementation method, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The specific scheme of a construction engineering processing cost data management method and system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0021] Traditional construction project cost data management records usually use manual recording methods to collect and organize data during the construction process. Factors such as a large amount of data and a high possibility of errors in manual recording make the data accuracy low, and there may also be isolated data, which leads 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 the relationship between the engineering materials involved in the construction process according to the problems encountered in the actual construction process of the engineering construction, analyzes the relationship between the environmental materials under different environments, obtains accurate engineering quantity information, and then can obtain accurate engineering cost information. In order to realize a construction project processing cost data management method, a construction project processing cost data management system is provided. The system is essentially a software system, which is composed of modules that realize corresponding functions. The specific steps in the method are now introduced in detail.

[0022] See also Figure 1 , which shows a flowchart of a method for managing construction engineering processing cost data provided by an embodiment of the present invention, the method comprising: Step S1: Collecting historical construction data, which includes daily construction quantity data, daily construction material data and construction environment information data; Step S2: Based on the daily construction quantity data and daily construction material data of the construction project, an abnormal possibility analysis is performed on the historical construction project construction data; Step S3: When there is a possibility of abnormality in the historical construction project construction data, the variability of the construction project environmental information data is analyzed according to the complexity of the construction project, and the consistency between the change range of different environmental dimensions and the engineering material data is calculated; Step S4: Setting a screening threshold. If the consistency between the variation ranges of different environmental dimensions and engineering material data is less than the screening threshold, it is determined that the historical construction project data currently being analyzed is abnormal.

[0023] To better explain, construction project processing cost data refers to the cost information related to material processing, component manufacturing and on-site construction in construction projects. It usually includes material costs, labor costs, machinery usage fees and related management expenses, etc. It is an important part of evaluating the cost of the entire construction project, and has important reference value for project budgeting, bidding quotations and cost control.

[0024] Understandably, in today's construction projects, cost management usually adopts the unit price contract system, which aims to manage the cost of the entire project by accurately calculating the project quantity. In this process, the unit price of the project materials is determined according to the material quotas published on the market; since the amount of project can directly reflect the level of project cost, there is a very close correlation between project cost and project quantity; therefore, for the cost management of construction engineering processing, it is particularly important to judge the accuracy of project quantity data; only by mastering accurate project quantity data can accurate project cost data be calculated, and then effectively control and manage construction projects to ensure the smooth progress of the project and effective cost control.

[0025] To explain, in step S1, the historical construction project construction data includes daily construction project quantity data, daily construction material data and construction project environmental information data, wherein, in this embodiment, daily construction quantity data refers to the number of meters of road surface paved daily; daily construction material data refers to the quantity and type of various materials used daily; construction project environmental information data refers to the ground elevation data, foundation data, etc. of the construction section in the construction project, the ground elevation data represents the vertical height information of each point on the ground obtained by measurement, and the foundation data involves key parameters such as the type, depth, and bearing capacity of the foundation; in addition, the construction project environmental information data may also include soil composition, groundwater level, surrounding environmental impact assessment and other information.

[0026] Further, step S2 includes: Step S21: define the current construction project working day to be analyzed as the target day, and calculate the difference in the target day's construction volume based on the similarity of the daily progress of the construction project.

[0027] Understandably, in actual work, the progress of construction projects is continuous and planned, so the daily engineering quantity planning arrangement often shows a certain regularity and similarity. Therefore, under normal circumstances, the number of staff of the engineering team on a project does not change much. Therefore, when scheduling the project, the daily engineering quantity plan tends to remain consistent, that is, the amount of work completed each day is similar. In other words, the daily engineering quantity data is similar. Therefore, when there is a significant deviation between the engineering quantity of the target day and the engineering quantity of the working day that is not the target day, it is inferred that there may be abnormalities in the engineering quantity of the target day.

[0028] Furthermore, in step S21, the difference of the target daily engineering quantity is calculated, and the corresponding calculation formula is: in, Indicates the target day; Indicates the variability of the target daily project volume; Indicates the engineering quantity data completed on the target date; represents a weekday that is not a target day; Indicates the engineering quantity data completed on working days other than the target days; Indicates shared Engineering quantity data for the working day; Indicates mapping the value range to .

[0029] Explain that when the target date Working days with non-target days When the difference between the engineering quantities is large, the engineering quantity data on the target day is more likely to be abnormal; that is, The larger it is, the greater the possibility that the target day's project volume will be abnormal.

[0030] Understandably, in the actual construction process, emergency situations such as rushing to meet deadlines may occur, resulting in significant differences in the amount of work on a certain day compared to other working days, but this difference does not mean that there is anything abnormal about the amount of work on that day; in fact, there is a close correlation between the amount of work in the construction process and the materials used; that is, when the amount of work increases, the amount of materials consumed will also increase accordingly.

[0031] Step S22: Analyze the inconsistency between the target day's engineering quantity and engineering materials by combining the differences in the target day's engineering quantity with the daily engineering materials data.

[0032] It should be noted that the inconsistency between the project quantity and the project materials may be due to various reasons, such as inaccurate budget estimates, improper material procurement management, 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 there will be an inconsistency between the project quantity and the project materials. On the contrary, if the project materials are too much and the actual project quantity is small, it will cause waste of materials and there will be an inconsistency between the project quantity and the project materials. When there is a normal situation such as rushing the construction period, there will be no inconsistency between the project quantity and the project materials.

[0033] Furthermore, in step S22, the incompatibility between the target daily construction volume and the construction materials is analyzed, and the corresponding calculation formula is: in, Indicates the target day; Indicates the inconsistency between the target daily construction volume and the materials used in the project; Indicates the variability of the target daily project volume; represents a weekday that is not a target day; Indicates the variability of the work volume on non-target days; Indicates the engineering material data on the target date; Indicates the engineering material data for working days other than the target day; Indicates shared The engineering quantity data and engineering material data for the working day; Indicates mapping the value range to .

[0034] To explain, Indicates target date The ratio of the engineering quantity to the engineering materials is recorded as the labor-material ratio; Indicates a weekday that is not a target day The greater the difference between the two, the greater the labor-material ratio. The larger it is, the greater the incoordination between the target day's engineering quantity and the engineering materials, which means that the coordination between the two is poor. It can be understood that when there is a rush on the target day, that is, the target day's engineering quantity data is larger and the corresponding engineering material data is larger, the incoordination between the engineering quantity and the engineering materials is smaller, and the target day is judged to be normal construction.

[0035] Step S23: Setting a judgment threshold. When the inconsistency between the target day's engineering quantity and the engineering materials is greater than or equal to the judgment threshold, there is a high possibility that the target day is abnormal.

[0036] As an optional implementation, in this embodiment, the judgment threshold is .

[0037] It can be explained that when , which means that the greater the inconsistency between the engineering quantity and the engineering materials, the greater the possibility of abnormality in the daily engineering quantity data; on the contrary, when , which means the smaller the inconsistency between the engineering quantity and the engineering materials, the smaller the engineering quantity data on the target day is.

[0038] For better explanation, due to the high complexity of highways in construction projects, the requirements for construction conditions are naturally relatively high. On different working days, the conditions of the paved road sections will be different, which directly leads to the change of the construction difficulty coefficient. Specifically, during the construction process, the terrain conditions of the road section, such as the ups and downs of the road section and the changes in the curves, will have a significant impact on the engineering quantity data of the construction project. When the road section conditions are good, its complexity coefficient is low, the engineering quantity data is correspondingly more, and the engineering material data will also increase accordingly. Due to the variety of road section changes, there are road sections with poor construction conditions, such as poor foundation quality, which requires more foundation landfill treatment; or the slope elevation changes on both sides of the road section are large, and slope treatment is required; or there are many curves in the road, resulting in an increase in the amount of engineering material waste generated; in this embodiment, the daily engineering quantity data refers to the number of meters of road pavement completed daily, but the increase in construction difficulty means that even if the engineering quantity data is low, the consumption of engineering materials may still be large, so this complexity affects the judgment of the accuracy of the engineering quantity, so when analyzing the abnormality of the engineering quantity data, more detailed analysis and evaluation are required.

[0039] Due to differences in road conditions, different engineering materials are used. For example, when the foundation of a road section is poor, it is necessary to carry out filling and excavation. At this time, it is necessary to select appropriate cushion materials for foundation treatment based on actual conditions, and then pave the road surface. Therefore, the consumption of different engineering materials corresponds to different construction engineering environmental information data. Therefore, it is very important to select the raw materials that have the greatest impact on the engineering quantity data according to changes in the construction engineering environment. That is, if under the environmental conditions of the target day, the consumption of the engineering material with the greatest impact is the raw material with the most reference value in the environment, then it means that the current engineering quantity is caused by the raw materials in the environment, which is normal. On the contrary, if an abnormality occurs, further investigation of the cause is required.

[0040] It is understandable that when analyzing the different engineering materials consumed during working days, they 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 indicator for changes in engineering quantity; for example, if the engineering quantity of a certain working day increases by a certain proportion, then in the scenario of pavement construction, the usage of the engineering material concrete also increases by a corresponding proportion, indicating that there is a very high correlation between the consumption of concrete and the engineering quantity, that is, a strong correlation; therefore, we only need to pay attention to the changes in the consumption of concrete to have a good understanding of the changes in the engineering quantity. A clear understanding; on the contrary, if the engineering volume of a certain working day is reduced by a certain proportion, but the consumption of earthwork filling materials on that day is increased, then it means that the reduced engineering volume is due to the increase in earthfilling operations; therefore, different engineering volume change values ​​correspond to different changes in engineering materials, that is, different engineering volume change amplitudes correspond to different engineering material change amplitudes; therefore, by calculating the change amplitudes of different engineering material consumption, its reference value for the change amplitude of engineering volume is evaluated; in other words, the greater the contribution rate of a certain engineering material in the consumption, the greater the reference value of the corresponding road section engineering volume.

[0041] Further, step S3 includes: Step S31: Calculate the target day's engineering quantity data and the variation range of different engineering material data according to the complexity of the construction project.

[0042] Specifically, the average is calculated based on the engineering quantity data and daily engineering material data of all construction project working days, and the average of the engineering quantity data and different engineering materials is obtained respectively, and this average is used as the standard value. Then, the difference between the standard value and the engineering material situation and the engineering quantity data of each working day is calculated and normalized, and converted into a dimensionless relative value for more convenient comparison and evaluation.

[0043] Furthermore, in step S31, the change range of the target day engineering quantity data and the different engineering material data is calculated, and the corresponding calculation formula is: in, Indicates the target day; Indicates the engineering quantity data completed on the target day and the daily consumption of any engineering material; Indicates the target date The change range of the data parameters of each dimension; Indicates the target date Data of dimensional data parameters; Indicates The average value of the dimension data parameter; represents the rounding function; Indicates mapping the value range to .

[0044] To explain, Indicates the target date The difference between the data of the dimension data parameter and its average value. The larger the difference, the greater the corresponding The greater the change amplitude of the data parameter of each dimension; optionally, in this embodiment, by analyzing and obtaining the change amplitude shown by the data parameters of different dimensions, they are quantitatively divided into 10 integer levels, such as 1, 2, 3..., and the graded change amplitude is recorded as the change level, that is, the change amplitude is graded to ensure that the change amplitude of each engineering quantity data can correspond to its specific engineering material change amplitude, and it is regarded as an engineering environment situation, that is, it is determined as a construction engineering environment information data, which effectively avoids the impact that may be caused by slight changes in engineering quantity; in addition, quantification is to eliminate the interference caused by slight changes in engineering quantity data and different usage levels of different engineering materials. For example, in a certain construction situation, the engineering quantity undergoes a large change, and its main engineering materials change less, but the change amplitude of a certain engineering material that is usually used less is large, and the change amplitude of this engineering material is used to represent this engineering quantity situation.

[0045] Step S32: construct a plane space model to cluster the target day engineering quantity data and the variation range of different engineering material data, and analyze the reference of any engineering material in the cluster where the variation range of the engineering quantity data belongs.

[0046] As an optional implementation, the plane space model is constructed with the variation range of the engineering quantity as the horizontal axis and the variation range of the engineering materials as the vertical axis.

[0047] It can be understood that a plane space model is constructed to map the daily engineering quantity change amplitude and the change amplitude of each engineering material into the plane space model; density clustering is used to cluster the data points of the aforementioned change amplitude to obtain clusters of the change amplitude of each engineering quantity, wherein density clustering is a density-based clustering method, which divides the area with high density into a cluster, and regards the low-density area as noise or boundary area; the proportion of the change amplitude of each engineering material in the cluster corresponding to the change amplitude of each engineering quantity is calculated, and the greater the proportion of a certain engineering material in the cluster, the greater the influence of the engineering material on the change amplitude of the engineering quantity, which means that the reference value of the engineering material to the change amplitude of the engineering quantity is greater.

[0048] Furthermore, in step S32, the reference of any engineering material in the cluster where the variation range of the engineering quantity data is located is analyzed, and the corresponding calculation formula is: in, Indicates the target day; Indicates target date Engineering materials in the cluster where the change range of engineering quantity data is located Reference value; The total number of data points contained in the cluster that represents the change range of the target day's engineering quantity data; In the cluster that represents the change range of the target day engineering quantity data, the engineering materials The number of data points of the magnitude of change; In the cluster that represents the change range of the target day engineering quantity data, the engineering materials The number of data points of the magnitude of change; Indicates that the target day engineering quantity data change range exists in the cluster Different engineering materials; Indicates mapping the value range to .

[0049] Explain that the engineering materials currently analyzed The greater the difference between the quantity of other engineering materials in the corresponding cluster, the greater the difference between the quantity of engineering materials in the corresponding cluster. The greater the reference value, that is, The bigger.

[0050] Understandably, in order to accurately calculate the consistency between the variation range of different environmental dimensions and engineering material data, the terrain changes at the location of the paved road section on the target day are analyzed as a specific case. For example, on the target day, if the road environment on both sides of the paved road section is not good, then additional soil may be required for backfilling when paving the road surface; in this case, there is a high correlation between the variation range of the engineering quantity under the working environment and the amount of soil used in the engineering materials; that is, in this specific environment, the variation range of the engineering quantity mainly depends on the variation range of the engineering materials, so the environment-engineering material correspondence coefficient is established to reflect the proportional relationship between the environmental dimension and the engineering materials.

[0051] Step S33: Establish the 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 of each working day of the construction project, and calculate the consistency between the change range of different environmental dimensions and 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 belongs.

[0052] 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 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no linear correlation. The environment-engineering materials correspondence coefficient is established through the Pearson correlation coefficient to indicate the correlation between the environmental dimension and engineering materials.

[0053] Further, in step S33, the environment-engineering material correspondence coefficient is established by the Pearson correlation coefficient, and the corresponding calculation formula is: in, Indicates that in the same construction project environment dimension and the change level of the engineering material data, the environmental dimension Data changes and engineering materials The environmental-engineering material correspondence coefficient of the change range; Represents environmental dimensions The amount of data change; Indicates engineering materials The degree of change of the magnitude of change; Represents the calculation function of Pearson's correlation coefficient.

[0054] It is explained that in the change level corresponding to the change amplitude of the engineering quantity currently analyzed, the higher the correlation between the change of the environmental dimension and the change amplitude of a certain raw material in the engineering material, that is, The larger the value, the more the data change in the environment dimension is related to the engineering materials. This shows that in the environmental dimension Under this circumstance, the level of change corresponding to the change in the engineering quantity is caused by the large change in the change in the engineering materials.

[0055] It can be explained that Represents environmental dimensions The amount of data change, which is based on the environment dimension The degree to which the data in the project changes over time, such as changes in elevation data and foundation data in construction projects, combined with By conducting the analysis, the researchers were able to gain a quantitative understanding of the impact of environmental dimensions on construction projects for subsequent analysis.

[0056] It can be understood that, at the change level corresponding to the change amplitude of the engineering volume on the target day, the change in the environmental dimension of the road section paved on the target day and the change amplitude of the engineering materials corresponding to the environmental conditions will affect whether the change amplitude of the engineering materials with the largest correlation change is consistent. The higher the consistency, the higher the consistency of the change amplitude of the engineering materials data at the change level corresponding to the change amplitude of the engineering volume on the target day.

[0057] Furthermore, in step S33, the consistency between the change range of different environmental dimensions and engineering material data is calculated, and the corresponding calculation formula is: in, Indicates the target day; Indicates the consistency between the environmental dimension corresponding to the change level of the change range of the target day engineering quantity data and the change range of the engineering material data under the environmental dimension; Indicates that in the same construction project environment dimension and the change level of the engineering material data, the environmental dimension Data changes and engineering materials The environmental-engineering material correspondence coefficient of the change range; Indicates the project materials required on the target date The degree of change of the magnitude of change; Indicates that in the cluster corresponding to the change level of the change in the project quantity on the target day, the project materials The mean of the change level of the change magnitude; Indicates the target date Engineering materials in the cluster where the change range of engineering quantity data is located Reference value; The clusters representing the change in the target daily project volume have Different engineering materials; Indicates mapping the value range to .

[0058] It can be explained that the standard value of the change amplitude of the engineering material data under the change level of the change amplitude of the engineering quantity on the target day is determined, and the mean value of the change amplitude of each engineering material in its cluster under this change level is used as the standard value of the change amplitude of each engineering material data under this change level of the change amplitude of the engineering quantity.

[0059] To explain, in the same construction project environmental dimension and the change level of engineering material data, the same environmental dimension In this environmental dimension The weight is the product of the change level of the change range of each engineering material and the environment-engineering material correspondence coefficient of the environmental dimension, and the reference product of the engineering materials in the cluster where the change range of the engineering quantity data is located. That is, , when the correlation of the engineering materials under the environmental dimension is better, the reference of the engineering materials under the engineering quantity is greater, then the change level of the change amplitude of the engineering materials on the target day is more similar to the change level of the change amplitude of the engineering materials under the environmental dimension, then it means that the possibility that the change of the engineering quantity data caused by the change of the engineering materials on the target day is caused by environmental factors is greater, that is, the consistency between the environmental dimension corresponding to the change level of the change amplitude of the engineering quantity data and the change amplitude of the engineering material data under the environmental dimension is greater, that is, The bigger.

[0060] It can be explained that, in step S4: setting a screening threshold, if the consistency between the variation ranges of different environmental dimensions and engineering material data is less than the screening threshold, it is determined that the historical building engineering construction data currently being analyzed is abnormal.

[0061] As an optional implementation, the screening threshold is recorded as ,and The specific value is determined based on the actual work standards of the section currently being analyzed.

[0062] Specifically, when the target date , indicating that the engineering quantity data that may have abnormalities in the above judgment is a normal engineering quantity situation, and the possibility of its abnormality is caused by changes in the environment of the construction project. This situation is normal based on the construction project; on the contrary, when , indicating that the engineering quantity data that may be abnormal as judged above is confirmed to be abnormal, which will cause abnormal misalignment of the engineering cost data of the day, thereby affecting the management of the data.

[0063] Optionally, a system early warning can be issued for historical construction project data that is determined to be abnormal, and the staff can be prompted by sound or light; then manual investigation can be carried out as needed to determine whether the recording of the engineering quantity data or the recording of the engineering material data is incorrect.

[0064] It can be understood that, relative to the existing historical construction data of building projects, 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, and obtains accurate engineering quantity information by analyzing the relationship between environmental materials in different environments, thereby being able to obtain accurate engineering cost information, which is convenient for subsequent refined cost data management; refined cost data management can provide accurate and timely financial information, helping project managers, investors and stakeholders to make more scientific and reasonable investment, planning and execution decisions; based on the analysis of historical construction data of building projects, to optimize capital allocation and reduce the risk of construction projects.

[0065] An embodiment of the present invention proposes a construction project processing cost data management system, which stores program data. When the program data is executed, a construction project processing cost data management method as described in the aforementioned embodiment is implemented; the system has the same beneficial effects as the construction project processing cost data management method provided above, which will not be repeated here.

[0066] It can be understood that when a module of a construction project processing cost data management system is in operation, it is necessary to utilize a construction project processing cost data management method provided by the aforementioned embodiment. Therefore, whether the method and program data are integrated or different hardware is configured to produce functions similar to the effects achieved by the present invention, they all fall within the scope of protection of the present invention.

[0067] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0068] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for managing construction engineering processing cost data, characterized in that: The method comprises: Collecting historical construction project construction data, wherein the historical construction project construction data includes daily construction project quantity data, daily construction material data and construction project environmental information data; Based on the daily construction quantity data and daily engineering material data of the construction project, the abnormal possibility analysis of the historical construction project construction data is carried out; When there is a possibility of anomalies in the historical construction data, the variability of the construction project environmental information data is analyzed according to the complexity of the construction project, and the consistency between the change range of different environmental dimensions and the engineering material data is calculated; Set a screening threshold. If the consistency between the change range of different environmental dimensions and engineering material data is less than the screening threshold, it is determined that the historical building construction data currently being analyzed is abnormal. Calculate the consistency between different environmental dimensions and the magnitude of changes in engineering material data, including: Define the current construction project working day to be analyzed as the target day, and calculate the change range of the target day's engineering quantity data and different engineering material data according to the complexity of the construction project; A plane spatial model is constructed to cluster the change range of the target day engineering quantity data and the data of different engineering materials, and the reference of any engineering material in the cluster where the change range of the engineering quantity data is located is analyzed; The environment-engineering material correspondence coefficient is established through the Pearson correlation coefficient, and the change level of the environmental dimension and the engineering material data of each working day of the construction project is analyzed. Combined with the reference of any engineering material in the cluster where the change range of the engineering quantity data is located, the consistency between the change range of different environmental dimensions and engineering material data is calculated.

2. A construction engineering processing cost data management method as claimed in claim 1, characterized in that: Based on the daily construction quantity data and daily engineering material data of the construction project, the abnormal possibility analysis of the historical construction project construction data is carried out, including: Based on the similarity of the daily progress of the construction project, the difference of the target daily construction volume is calculated; Through the differences in the target day engineering quantity and combined with the daily engineering material data, the inconsistency between the target day engineering quantity and engineering materials is analyzed; Set a judgment threshold. When the inconsistency between the target day's engineering quantity and the engineering materials is greater than or equal to the judgment threshold, there is a high possibility that there is an abnormality on the target day.

3. A construction engineering processing cost data management method as claimed in claim 2, characterized in that: Calculate the difference of target daily project quantity, the corresponding calculation formula is: in, Indicates the target day; Indicates the variability of the target daily project volume; Indicates the engineering quantity data completed on the target date; represents a weekday that is not a target day; Indicates the engineering quantity data completed on working days other than the target days; Indicates shared Engineering quantity data for the working day; Indicates mapping the value range to .

4. A method for managing construction engineering processing cost data as claimed in claim 2, characterized in that: Analyze the inconsistency between the target daily construction volume and the construction materials, and the corresponding calculation formula is: in, Indicates the target day; Indicates the inconsistency between the target daily construction volume and the materials used in the project; Indicates the variability of the target daily project volume; represents a weekday that is not a target day; Indicates the variability of the work volume on non-target days; Indicates the engineering material data on the target date; Indicates the engineering material data for working days other than the target day; Indicates shared The engineering quantity data and engineering material data for the working day; Indicates mapping the value range to .

5. A construction engineering processing cost data management method as claimed in claim 1, characterized in that: Calculate the change range of the target day engineering quantity data and the data of different engineering materials. The corresponding calculation formula is: in, Indicates the target day; Indicates the engineering quantity data completed on the target date and the daily consumption of any engineering material; Indicates the target date The change range of the data parameter of each dimension; Indicates the target date Data of dimensional data parameters; Indicates The average value of the dimension data parameter; represents the rounding function; Indicates mapping the value range to .

6. A construction engineering processing cost data management method as claimed in claim 1, characterized in that: Analyze the reference of any engineering material in the cluster where the change range of engineering quantity data is located. The corresponding calculation formula is: in, Indicates the target day; Indicates the target date Engineering materials in the cluster where the change range of engineering quantity data is located Reference value; The total number of data points contained in the cluster that represents the change range of the target day engineering quantity data; In the cluster that represents the change range of the target day engineering quantity data, the engineering materials The number of data points of the magnitude of change; In the cluster that represents the change range of the target day engineering quantity data, the engineering materials The number of data points of the magnitude of change; Indicates that the target day engineering quantity data change range exists in the cluster Different engineering materials; Indicates mapping the value range to .

7. A construction engineering processing cost data management method as claimed in claim 1, characterized in that: The environment-engineering material correspondence coefficient is established through the Pearson correlation coefficient, and the corresponding calculation formula is: in, Indicates that in the same construction project environment dimension and the change level of the engineering material data, the environmental dimension Data changes and engineering materials The environmental-engineering material correspondence coefficient of the change range; Represents environmental dimensions The amount of data change; Indicates engineering materials The degree of change of the magnitude of change; Represents the calculation function of Pearson's correlation coefficient.

8. A construction engineering processing cost data management method as claimed in claim 7, characterized in that: Calculate the consistency between different environmental dimensions and the change range of engineering material data. The corresponding calculation formula is: in, Indicates the target day; Indicates the consistency between the environmental dimension corresponding to the change level of the change range of the target day engineering quantity data and the change range of the engineering material data under the environmental dimension; Indicates that in the same construction project environment dimension and the change level of the engineering material data, the environmental dimension Data changes and engineering materials The environmental-engineering material correspondence coefficient of the change range; Indicates the project materials required on the target date The degree of change of the magnitude of change; Indicates that in the cluster corresponding to the change level of the change in the project quantity on the target day, the project materials The mean of the change level of the change magnitude; Indicates the target date Engineering materials in the cluster where the change range of engineering quantity data is located Reference value; The clusters representing the change in the target daily project volume have Different engineering materials; Indicates mapping the value range to .

9. A construction engineering processing cost data management system, characterized in that: The system stores program data, and when the program data is executed, a construction engineering processing cost data management method as described in any one of claims 1-8 is implemented.

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