Construction project management evaluation method and system based on big data analysis

Abstract

The invention relates to the technical field of project management evaluation, and particularly discloses a construction project management evaluation method and system based on big data analysis, and the method comprises the steps: S1, obtaining a construction period, dividing the construction period into a plurality of construction period nodes, and forming a construction period unit by each two adjacent construction period nodes; s2, historical construction information is obtained, the historical construction information comprises the laid length and the material consumption amount in each construction period unit, a material consumption curve is established through the data, and a correction coefficient is calculated; s3, acquiring weather data during construction, establishing a construction model, integrating the weather data into the construction model, simulating a construction process, and predicting laid length and material consumption in each construction period unit; s4, the actual laid length is obtained in real time, and the reference consumption and the use efficiency index are calculated according to the consumption influence coefficient so as to judge whether the material consumption in the current construction period is abnormal or not.

Description

Technical Field

[0001] The present invention relates to the technical field of project management evaluation, and in particular to a construction project management evaluation method and system based on big data analysis. Background Art

[0002] Construction project management is a complex and meticulous process that involves comprehensive management of multiple aspects. Construction project management involves multiple aspects, including project planning and initiation, cost control, quality management, schedule management, and safety management. The management of the above aspects is used to ensure the smooth progress of the construction project, achieve project goals, and ensure the quality and safety of the project.

[0003] Construction projects generally include several important links, such as automatic survey and design, construction monitoring, construction planning, and project settlement; and construction project management is the management of the above-mentioned important links to ensure the smooth progress and high-quality completion of the project.

[0004] Construction materials are directly related to procurement costs and project progress. However, in the existing technology, the procurement time, quantity and budget of the required construction materials are usually determined based on the construction plan designed before construction. However, the actual construction situation is complex and changeable, and there is a lack of monitoring and evaluation standards for the consumption of construction materials. The efficiency of material use cannot be monitored in real time, resulting in waste of construction materials and high construction costs. Summary of the invention

[0005] The purpose of the present invention is to provide a construction project management evaluation method and system based on big data analysis to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A construction project management evaluation method based on big data analysis includes the following steps:

[0008] Step S1: Obtain a construction period, and divide the construction period into a number of period units;

[0009] Step S2: Acquire historical construction information, wherein the historical construction information includes the paved length L and the material consumption C in each construction period unit, wherein the paved length is the length of the line that has been paved, and the material consumption is the consumption of construction materials;

[0010] According to the historical construction information, a material consumption curve is established, and a correction coefficient is obtained according to the material consumption curve Among them C i is the material consumption in the i-th construction period unit, L i is the paved length in the i-th construction period unit, and n is the total number of construction period units;

[0011] Step S3: Acquire weather data during the construction period, establish a construction model, integrate the weather data into the construction model, and obtain a construction simulation model; simulate the construction in the construction simulation model to obtain the paved length and material consumption in each construction period unit, which are recorded as predicted length L′ and predicted consumption C′ respectively;

[0012] Step S4: According to the correction coefficient and the construction simulation model, the actual paved length L0 in the completed construction period unit is obtained to obtain a reference consumption Cref=C′+(L′-L0)*k;

[0013] According to the reference consumption, the usage efficiency index is obtained Where m is the total number of completed duration units, Cref x is the reference consumption of the xth completed duration unit, C0 is the actual consumption, C 0x is the actual consumption of the xth completed duration unit, and Cer is the preset maximum error threshold;

[0014] According to the usage efficiency index, it is determined whether there is any abnormality in the consumption of construction materials during the current construction period.

[0015] As a further solution of the present invention: the process of dividing the construction period unit includes:

[0016] A number of construction period nodes are selected during the construction period, and each two adjacent construction period nodes constitute a construction period unit; the selection of the construction period nodes includes the start time and the completion time of the construction period.

[0017] As a further solution of the present invention: the process of obtaining the material consumption includes:

[0018] Obtain the purchase quantity Qp of construction materials in the construction period unit, and obtain the remaining quantity Qr of construction materials in the previous construction period unit, and obtain the material consumption C=Qp+Qr-Q in the construction period unit, where Q is the remaining quantity of construction materials after the end of the current construction period unit.

[0019] As a further solution of the present invention: the process of obtaining the paved length includes:

[0020] The length Lall of the line laid at the end of the previous construction unit is obtained, and the length Ltol laid at the end of the current construction unit is obtained, and the length L laid in the current construction unit is obtained as L=Ltol-Lall.

[0021] As a further solution of the present invention: the process of establishing the material consumption curve includes:

[0022] Obtain the material consumption of the i-th construction period unit in each construction period in the historical construction information {Cp 1i , Cp 2i , ..., Cp si}, where s is the total number of construction periods, Cp 1i is the material consumption of the 1st i-th construction period unit; then the material consumption of the i-th construction period unit on the material consumption curve is obtained

[0023] Get the paved length {Lp of the i-th construction period unit in each construction period in the historical construction information 1i , Lp 2i , ..., Lp si}, where Lp 1i is the paved length of the 1st i-th construction period unit; then the paved length of the i-th construction period unit on the material consumption curve is obtained

[0024] As a further solution of the present invention: the process of establishing the construction model includes:

[0025] Obtain construction project requirements, construction design drawings and specifications, define goals and scope, and establish a three-dimensional model through BIM software; integrate construction information into the three-dimensional model, the construction information includes construction equipment, construction sequence and worker areas; and use BIM tools to perform collision detection on the three-dimensional model, identify design conflicts, adjust the parameters of the three-dimensional model according to the design conflicts, and finally obtain a construction model.

[0026] As a further solution of the present invention: the process of integrating weather data into the construction model includes:

[0027] The weather data is integrated into the construction model through the extension tool in the BIM software. The weather data includes temperature T and rainfall R. The temperature limit threshold T′ and rainfall limit threshold R′ are set in the construction model. When T≥T′ or R≥R′, the construction model suspends construction.

[0028] As a further solution of the present invention: the process of judging whether the consumption of construction materials during the current construction period is abnormal includes:

[0029] If EIU>1, there is an abnormality in the consumption of construction materials during the current construction period; if EIU≤1, there is no abnormality in the consumption of construction materials during the current construction period.

[0030] As a further solution of the present invention: a construction project management evaluation system based on big data analysis, comprising:

[0031] Preprocessing module: obtaining the construction period and dividing the construction period into a number of period units;

[0032] Historical data analysis module: obtaining historical construction information, wherein the historical construction information includes the paved length L and the material consumption C in each construction period unit, wherein the paved length is the length of the line that has been paved, and the material consumption is the consumption of construction materials;

[0033] According to the historical construction information, a material consumption curve is established, and a correction coefficient is obtained according to the material consumption curve Among them C i is the material consumption in the i-th construction period unit, L i is the paved length in the i-th construction period unit, and n is the total number of construction period units;

[0034] Prediction module: obtain weather data during the construction period, establish a construction model, integrate the weather data into the construction model, and obtain a construction simulation model; simulate construction in the construction simulation model to obtain the paved length and material consumption in each construction period unit, which are recorded as predicted length L′ and predicted consumption C′ respectively;

[0035] Correction module: according to the correction coefficient and the construction simulation model, the actual paved length L0 in the completed construction period unit is obtained to obtain the reference consumption Cref=C′+(L′-L0)*k;

[0036] Evaluation module: according to the reference consumption, obtain the usage efficiency index Where m is the total number of completed duration units, Cref x is the reference consumption of the xth completed duration unit, C0 is the actual consumption, C 0x is the actual consumption of the xth completed duration unit, and Cer is the preset maximum error threshold;

[0037] According to the usage efficiency index, it is determined whether there is any abnormality in the consumption of construction materials during the current construction period.

[0038] Beneficial effects of the present invention:

[0039] Construction materials are directly related to procurement costs and project progress. However, in the existing technology, the procurement time, quantity and budget of the required construction materials are usually determined based on the construction plan designed before construction. However, the actual construction situation is complex and changeable, and there is a lack of monitoring and evaluation standards for the consumption of construction materials. The efficiency of material use cannot be monitored in real time, resulting in waste of construction materials and high construction costs.

[0040] Compared with the prior art, the present invention obtains the construction period and divides it into multiple period nodes, and each two adjacent period nodes constitute a period unit; obtains historical construction information, including the paved length and material consumption in each period unit, and uses these data to establish a material consumption curve and calculate the correction coefficient; obtains weather data during the construction period, and establishes a construction model, integrates the weather data into the construction model, simulates the construction process, and predicts the paved length and material consumption in each period unit; obtains the actual paved length in real time, and calculates the reference consumption and the usage efficiency index based on the consumption influence coefficient to determine whether there is any abnormality in the material consumption during the current construction period.

[0041] By dividing the construction period into multiple period units, the present invention can more accurately manage and monitor the progress of each stage to ensure that the entire project is completed on time; using historical construction information to establish a material consumption curve is helpful to predict future material needs, thereby avoiding problems such as over-purchasing or insufficient supply; the construction model that takes into account weather data can more accurately simulate actual construction conditions and provide a more reliable basis for construction plans; real-time acquisition of actual data of completed period units and comparison with predicted values ​​is helpful to timely identify problems and adjust construction strategies; using the efficiency index as an indicator to measure the consumption of construction materials can help managers evaluate the efficiency of resource utilization during the construction process and take measures to optimize resource allocation when necessary; and optimizing the construction process through data analysis and simulation, reducing resource waste, and improving the overall efficiency and quality of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] Figure 1 It is a structural schematic diagram of a construction project management evaluation method and system based on big data analysis of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 As shown, the present invention is a construction project management evaluation method based on big data analysis, comprising the following steps:

[0046] Step S1: Obtain a construction period, and divide the construction period into a number of period units;

[0047] As a preferred embodiment of the present invention, the process of dividing the duration units includes:

[0048] Selecting a number of construction period nodes on the construction period, where every two adjacent construction period nodes constitute a construction period unit; the selection of the construction period nodes includes the start time and the completion time of the construction period;

[0049] It is understandable that the entire construction period is divided into several smaller units, namely, construction period units, in order to more accurately manage and control the construction progress; the start time and completion time of the construction period are selected as the natural starting point and end point of the construction project, so they become an important basis for dividing the construction period units. By using the start time and completion time as the construction period nodes, it can be ensured that each construction period unit is closely organized around the key stages of the construction project;

[0050] It is worth noting that in addition to the start time and the completion time, other representative times can be selected as construction period nodes according to actual needs; for example, construction period nodes can be set according to important milestones in the construction process, the availability of key resources, or the completion of specific construction activities; ensuring that each construction period unit can be associated with a specific construction activity or goal, so that managers can monitor and control the construction progress more effectively;

[0051] Step S2: Acquire historical construction information, wherein the historical construction information includes the paved length L and the material consumption C in each construction period unit, wherein the paved length is the length of the line that has been paved, and the material consumption is the consumption of construction materials;

[0052] According to the historical construction information, a material consumption curve is established, and a correction coefficient is obtained according to the material consumption curve Among them C i is the material consumption in the i-th construction period unit, L i is the paved length in the i-th construction period unit, and n is the total number of construction period units;

[0053] It is worth noting that is the ratio of the difference between the ordinate and the abscissa of two adjacent coordinate points. For the last point on the material consumption curve, only the ratio between the last point and the previous coordinate point is calculated.

[0054] It should be noted that the process of establishing the material consumption curve includes:

[0055] A rectangular coordinate system is established with length as the horizontal coordinate and consumption as the vertical coordinate; the paved length and material consumption in each construction period unit in the historical construction information are converted into coordinate points of corresponding positions in the rectangular coordinate system; each coordinate point is connected with a smooth curve, and the curve is recorded as a material consumption curve;

[0056] As a preferred embodiment of the present invention, the process of obtaining the material consumption includes:

[0057] Obtain the purchase quantity Qp of construction materials in the construction period unit, and obtain the remaining quantity Qr of construction materials in the previous construction period unit, and obtain the material consumption in the construction period unit C=Qp+Qr-Q, where Q is the remaining quantity of construction materials after the end of the current construction period unit;

[0058] As a preferred embodiment of the present invention, the process of obtaining the material consumption includes:

[0059] Obtain the purchase quantity Qp of construction materials in the construction period unit, and obtain the remaining quantity Qr of construction materials in the previous construction period unit, and obtain the material consumption in the construction period unit C=Qp+Qr-Q, where Q is the remaining quantity of construction materials after the end of the current construction period unit;

[0060] It is understandable that it is necessary to know the purchase quantity Qp of construction materials in a specific construction unit, which is the total amount of materials purchased or ordered in the construction unit; and determine the remaining quantity Qr of construction materials after the end of the previous construction unit, which is the amount of materials not used up in the previous construction unit; Q represents the remaining quantity of construction materials after the end of the current construction unit; therefore, the material consumption C actually refers to the amount of materials actually used in the current construction unit; including the remaining materials brought from the previous construction unit and the newly purchased materials in this period, minus the remaining materials at the end of the current construction unit;

[0061] As a preferred embodiment of the present invention, the process of obtaining the paved length includes:

[0062] Obtain the length Lall of the line laid at the end of the previous construction unit, and obtain the length Ltol of the line laid at the end of the current construction unit, and obtain the length L of the line laid in the current construction unit = Ltol-Lall;

[0063] It is worth noting that the paved length mentioned above includes the curved or winding parts of the line; because in actual construction, due to the influence of terrain, design or other factors, the line may contain various bends and windings, which also consume materials and affect the progress of the project;

[0064] As a preferred embodiment of the present invention, the process of establishing the material consumption curve includes:

[0065] Obtain the material consumption of the i-th construction period unit in each construction period in the historical construction information {Cp 1i , Cp 2i , ..., Cp si}, where s is the total number of construction periods, Cp 1iis the material consumption of the 1st i-th construction period unit; then the material consumption of the i-th construction period unit on the material consumption curve is obtained

[0066] Get the paved length {Lp of the i-th construction period unit in each construction period in the historical construction information 1i , Lp 2i , ..., Lp si}, where Lp 1i is the paved length of the 1st i-th construction period unit; then the paved length of the i-th construction period unit on the material consumption curve is obtained

[0067] It can be understood that the average value of the material consumption of the i-th construction period unit of each construction period is used as the material consumption of the i-th construction period unit on the material consumption curve, and the average value of the paved length of the i-th construction period unit of each construction period is used as the paved length of the i-th construction period unit on the material consumption curve;

[0068] Step S3: Acquire weather data during the construction period, establish a construction model, integrate the weather data into the construction model, and obtain a construction simulation model; simulate the construction in the construction simulation model to obtain the paved length and material consumption in each construction period unit, which are recorded as predicted length L′ and predicted consumption C′ respectively;

[0069] As a preferred embodiment of the present invention, the process of establishing the construction model includes:

[0070] Obtain construction project requirements, construction design drawings and specifications, obtain defined goals and scope, and establish a three-dimensional model through BIM software; integrate construction information into the three-dimensional model, the construction information including construction equipment, construction sequence and worker areas; and use BIM tools to perform collision detection on the three-dimensional model, identify design conflicts, adjust the parameters of the three-dimensional model according to the design conflicts, and finally obtain a construction model;

[0071] It should be noted that it is necessary to collect specific requirements, design drawings and specifications of the construction project; this information is the basis for establishing the construction model to ensure that the model can accurately reflect the project goals and design scope; integrate specific construction information such as construction equipment, construction sequence and worker areas into the 3D model; so that the model not only reflects the physical structure of the project, but also contains dynamic information of the construction process; use BIM tools to perform collision detection on the 3D model to identify design conflicts; the collision detection can help discover problems in the design in advance, such as pipeline conflicts, structural interference, etc., so as to avoid delays and increased costs during the construction process; adjust the parameters of the 3D model according to the design conflicts found in the collision detection; the parameters include modifying the position, size or shape of the design elements to ensure that all systems and components can coexist harmoniously without spatial conflicts;

[0072] As a preferred embodiment of the present invention, the process of integrating weather data into the construction model includes:

[0073] The weather data is integrated into the construction model through the extension tool in the BIM software. The weather data includes temperature T and rainfall R. A temperature limit threshold T′ and a rainfall limit threshold R′ are set in the construction model. When T≥T′ or R≥R′, the construction model suspends construction.

[0074] Understandably, weather data has a significant impact on aspects such as construction schedule and material selection, so accounting for these factors in simulations can improve the accuracy of predictions. Extreme temperature conditions, such as high or low temperatures, can affect the progress of construction operations. For example, in high temperatures, workers may be at risk of heat stroke, while low temperatures may cause equipment and material performance to deteriorate, such as concrete not being able to cure properly in freezing conditions. Rainwater can cause muddy construction sites, increasing construction difficulties, especially during earthwork and foundation construction stages. Continuous rainfall can also lead to construction delays, as many construction activities cannot be carried out in the rain.

[0075] Step S4: According to the correction coefficient and the construction simulation model, the actual paved length L0 in the completed construction period unit is obtained to obtain a reference consumption Cref=C′+(L′-L0)*k;

[0076] According to the reference consumption, the usage efficiency index is obtained Where m is the total number of completed duration units, Cref x is the reference consumption of the xth completed duration unit, C0 is the actual consumption, C 0x is the actual consumption of the xth completed duration unit, and Cer is the preset maximum error threshold;

[0077] According to the utilization efficiency index, determining whether there is any abnormality in the consumption of construction materials during the current construction period;

[0078] It is understood that the utilization efficiency index is used to measure the deviation between the actual consumption of construction materials and the expected consumption; It is the cumulative difference between the reference consumption and the actual consumption in each construction period unit. Cer is the maximum error threshold in each construction period unit. The maximum error threshold of m construction period units is mCer.

[0079] It should be noted that the maximum error threshold of material consumption in each construction period unit is a pre-set maximum allowable deviation value, which is used to evaluate whether the difference between actual material consumption and predicted or planned consumption is within an acceptable range;

[0080] As a preferred embodiment of the present invention, the process of judging whether the consumption of construction materials in the current construction period is abnormal includes:

[0081] If EIU>1, then there is an abnormality in the consumption of construction materials during the current construction period; if EIU≤1, then there is no abnormality in the consumption of construction materials during the current construction period;

[0082] It can be understood that if EIU>1, it means that the deviation between the actual consumption of construction materials and the expected consumption is greater than the maximum allowable deviation value; if EIU≤1, it means that the deviation between the actual consumption of construction materials and the expected consumption is less than or equal to the maximum allowable deviation value.

[0083] A construction project management evaluation system based on big data analysis, comprising:

[0084] Preprocessing module: obtaining the construction period and dividing the construction period into a number of period units;

[0085] Historical data analysis module: obtaining historical construction information, wherein the historical construction information includes the paved length L and the material consumption C in each construction period unit, wherein the paved length is the length of the line that has been paved, and the material consumption is the consumption of construction materials;

[0086] According to the historical construction information, a material consumption curve is established, and a correction coefficient is obtained according to the material consumption curve Among them C i is the material consumption in the i-th construction period unit, L i is the paved length in the i-th construction period unit, and n is the total number of construction period units;

[0087] Prediction module: obtain weather data during the construction period, establish a construction model, integrate the weather data into the construction model, and obtain a construction simulation model; simulate construction in the construction simulation model to obtain the paved length and material consumption in each construction period unit, which are recorded as predicted length L′ and predicted consumption C′ respectively;

[0088] Correction module: according to the correction coefficient and the construction simulation model, the actual paved length L0 in the completed construction period unit is obtained to obtain the reference consumption Cref=C′+(L′-L0)*k;

[0089] Evaluation module: according to the reference consumption, obtain the usage efficiency index Where m is the total number of completed duration units, Cref x is the reference consumption of the xth completed duration unit, C0 is the actual consumption, C 0x is the actual consumption of the xth completed duration unit, and Cer is the preset maximum error threshold;

[0090] According to the usage efficiency index, it is determined whether there is any abnormality in the consumption of construction materials during the current construction period.

[0091] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A construction project management evaluation method based on big data analysis, characterized in that: The following steps are involved: Step S1: Obtain a construction period, and divide the construction period into a number of period units; Step S2: Acquire historical construction information, wherein the historical construction information includes the paved length L and the material consumption C in each construction period unit, wherein the paved length is the length of the line that has been paved, and the material consumption is the consumption of construction materials; According to the historical construction information, a material consumption curve is established, and a correction coefficient is obtained according to the material consumption curve Among them C i is the material consumption in the i-th construction period unit, L i is the paved length in the i-th construction period unit, and n is the total number of construction period units; Step S3: Acquire weather data during the construction period, establish a construction model, integrate the weather data into the construction model, and obtain a construction simulation model; simulate the construction in the construction simulation model to obtain the paved length and material consumption in each construction period unit, which are recorded as predicted length L′ and predicted consumption C′ respectively; Step S4: According to the correction coefficient and the construction simulation model, the actual paved length L0 in the completed construction period unit is obtained to obtain a reference consumption Cref=C′+(L′-L0)*k; According to the reference consumption, the usage efficiency index is obtained Where m is the total number of completed duration units, Cref x is the reference consumption of the xth completed duration unit, C0 is the actual consumption, C 0x is the actual consumption of the xth completed duration unit, and Cer is the preset maximum error threshold; According to the usage efficiency index, it is determined whether there is any abnormality in the consumption of construction materials during the current construction period.

2. A construction project management evaluation method based on big data analysis according to claim 1, characterized in that: In step S1, the process of dividing the duration units includes: A number of construction period nodes are selected during the construction period, and each two adjacent construction period nodes constitute a construction period unit; the selection of the construction period nodes includes the start time and the completion time of the construction period.

3. The construction project management evaluation method based on big data analysis according to claim 1 is characterized in that: In step S2, the process of obtaining the material consumption includes: Obtain the purchase quantity Qp of construction materials in the construction period unit, and obtain the remaining quantity Qr of construction materials in the previous construction period unit, and obtain the material consumption C=Qp+Qr-Q in the construction period unit, where Q is the remaining quantity of construction materials after the end of the current construction period unit.

4. The construction project management evaluation method based on big data analysis according to claim 1 is characterized in that: In step S2, the process of obtaining the paved length includes: The length Lall of the line laid at the end of the previous construction unit is obtained, and the length Ltol laid at the end of the current construction unit is obtained, and the length L laid in the current construction unit is obtained as L=Ltol-Lall.

5. The construction project management evaluation method based on big data analysis according to claim 1 is characterized in that: In step S2, the process of establishing the material consumption curve includes: Obtain the material consumption of the i-th construction period unit in each construction period in the historical construction information {Cp 1i , Cp 2i , ..., Cp si }, where s is the total number of construction periods, Cp 1i is the material consumption of the 1st i-th construction period unit; then the material consumption of the i-th construction period unit on the material consumption curve is obtained Get the paved length {Lp of the i-th construction period unit in each construction period in the historical construction information 1i , Lp 2i , ..., Lp si }, where Lp 1i is the paved length of the 1st i-th construction period unit; then the paved length of the i-th construction period unit on the material consumption curve is obtained 6. The construction project management evaluation method based on big data analysis according to claim 1 is characterized in that: In step S3, the process of establishing the construction model includes: Obtain construction project requirements, construction design drawings and specifications, define goals and scope, and establish a three-dimensional model through BIM software; integrate construction information into the three-dimensional model, the construction information includes construction equipment, construction sequence and worker areas; and use BIM tools to perform collision detection on the three-dimensional model, identify design conflicts, adjust the parameters of the three-dimensional model according to the design conflicts, and finally obtain a construction model.

7. The construction project management evaluation method based on big data analysis according to claim 1 is characterized in that: In step S3, the process of integrating weather data into the construction model includes: The weather data is integrated into the construction model through the extension tool in the BIM software. The weather data includes temperature T and rainfall R. A temperature limit threshold T′ and a rainfall limit threshold R′ are set in the construction model. When T≥T′ or R≥R′, the construction model suspends construction.

8. The construction project management evaluation method based on big data analysis according to claim 1 is characterized in that: In step S4, the process of determining whether there is any abnormality in the consumption of construction materials during the current construction period includes: If EIU>1, there is an abnormality in the consumption of construction materials during the current construction period; if EIU≤1, there is no abnormality in the consumption of construction materials during the current construction period.

9. A construction project management evaluation system based on big data analysis, comprising: Preprocessing module: obtaining the construction period and dividing the construction period into a number of period units; Historical data analysis module: obtaining historical construction information, wherein the historical construction information includes the paved length L and the material consumption C in each construction period unit, wherein the paved length is the length of the line that has been paved, and the material consumption is the consumption of construction materials; According to the historical construction information, a material consumption curve is established, and a correction coefficient is obtained according to the material consumption curve Among them C i is the material consumption in the i-th construction period unit, L i is the paved length in the i-th construction period unit, and n is the total number of construction period units; Prediction module: obtain weather data during the construction period, establish a construction model, integrate the weather data into the construction model, and obtain a construction simulation model; simulate construction in the construction simulation model to obtain the paved length and material consumption in each construction period unit, which are recorded as predicted length L′ and predicted consumption C′ respectively; Correction module: according to the correction coefficient and the construction simulation model, the actual paved length L0 in the completed construction period unit is obtained to obtain the reference consumption Cref=C′+(L′-L0)*k; Evaluation module: according to the reference consumption, obtain the usage efficiency index Where m is the total number of completed duration units, Cref x is the reference consumption of the xth completed duration unit, C0 is the actual consumption, C 0x is the actual consumption of the xth completed duration unit, and Cer is the preset maximum error threshold; According to the usage efficiency index, it is determined whether there is any abnormality in the consumption of construction materials during the current construction period.

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