An intelligent management method for construction of an engineering project

Abstract

The present application belongs to the technical field of project construction progress management, and relates to an intelligent management method for project construction. Based on deviation analysis of construction progress data and planned progress data, the present application generates a construction progress evaluation index to determine whether there is construction progress abnormality in the current construction stage. When there is construction progress abnormality, an early warning is triggered. Through dynamic calculation of the index, the present application can capture construction progress deviation in real time, trigger instant early warning, significantly improve abnormal response speed, and collect and index evaluation of environment data, equipment operation state data and material data in the current construction stage in real time to obtain construction site environment abnormality, construction site equipment abnormality and construction site material abnormality, and then identify construction progress abnormality direction, so as to accurately locate environment, equipment and material abnormality sources through fusion analysis of multi-dimensional abnormality indexes, and comprehensively and accurately evaluate the comprehensive risk of construction progress.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of engineering project construction progress management, and relates to an intelligent engineering project construction management method. BACKGROUND

[0002] An engineering project is a project taking engineering construction as a carrier and is a one-time engineering construction task as a managed object. It can refer to a construction project, a single project or a unit project, and is targeted at a building or a structure as a target output, needs to be completed within a certain time according to a certain procedure, and should meet quality requirements. Effective management of the construction progress of an engineering project is of great significance to ensure that the project is completed on time, control costs, improve resource utilization efficiency and meet customer needs. Therefore, the research based on the supervision and management of the construction progress of an engineering project is of great significance.

[0003] In the prior art, there are related schemes for analyzing the construction progress of an engineering project. For example, a Chinese patent application for an invention with the publication number CN116911546A discloses a system for intelligent deviation correction based on the construction progress of an engineering project, which includes a task decomposition module, a task time module, a cycle reporting module, an efficiency calculation module and the like. The task decomposition module is used to decompose each contract task in a contract engineering item by item, determine the task sequence and construction procedure, and develop a plan model. The task time module is used to supplement the rated completion time period in the plan model according to the contract information in the contract engineering. The cycle reporting module is used to report the completion information of each procedure and subtask according to the cycle. The efficiency calculation module is used to calculate the efficiency of the project.

[0004] In addition, a Chinese patent application for an invention with the publication number CN114548906A discloses an engineering supervision and management method, system, device and storage medium, which specifically includes receiving actual construction information, the actual construction information including a plurality of construction project contour data; obtaining a construction project identifier corresponding to the construction project contour data according to the construction project contour data; querying a preset construction project plan corresponding to the construction project identifier from a preset database; generating a project engineering progress corresponding to the construction project identifier according to the construction project contour data and the preset construction project plan; generating an engineering progress prompt instruction according to the project engineering progress and executing the engineering progress prompt instruction, the engineering progress prompt instruction being used to push the construction project identifier and the project engineering progress to a smart terminal of a user. The application has the effect of enabling the user to conveniently know the actual engineering progress of each construction project in a construction site.

[0005] The above scheme proposes some solutions for engineering project construction progress analysis, but still has certain limitations: 1. The existing technology does not integrate environmental data such as temperature and severe weather, and cannot dynamically assess the impact of environmental abnormalities on construction progress, making it difficult to predict delays caused by extreme weather or temperature fluctuations.

[0006] 2. The existing technology only relies on task decomposition and periodic reporting, and does not couple analysis of construction site equipment data and material data with abnormalities, resulting in ineffective identification of hidden risks such as equipment downtime or material defects, leading to chain progress deviation,

[0007] 3. The existing technology uses a single progress deviation threshold to determine abnormalities, lacks fusion analysis of multi-dimensional abnormality indexes, and cannot accurately locate the root cause of abnormalities (such as environmental, equipment or material problems), affecting the pertinence of rectification measures, and further making it difficult to comprehensively assess the comprehensive risk of construction progress. SUMMARY

[0008] In view of this, in order to solve the problems proposed in the background art, an engineering project construction intelligent management method is proposed.

[0009] The object of the present application can be achieved by the following technical solutions: The present application provides an engineering project construction intelligent management method, comprising: S1, acquiring the construction progress data of the current construction stage of the target engineering project in real time through an engineering project progress management platform.

[0010] S2, based on the deviation analysis of the construction progress data and the planned progress data, generating a construction progress evaluation index to determine whether there is a construction progress abnormality in the current construction stage, and triggering an early warning when there is a construction progress abnormality.

[0011] S3, collecting the temperature and the proportion of severe weather time of the current construction stage through the deployed Internet of Things sensor, and based on the coupling analysis of the temperature and the proportion of severe weather time, identifying the environmental abnormality situation of the construction site.

[0012] S4, collecting the running state information of the construction equipment and the material information of the construction site in real time, and based on the running state information and the material information, respectively evaluating the equipment abnormality situation and the material abnormality situation of the construction site.

[0013] S5, inputting the environmental abnormality situation, the equipment abnormality situation and the material abnormality situation of the construction site into an abnormality correlation analysis module, and outputting a construction progress abnormality pointing.

[0014] Compared with the prior art, the application has the following beneficial effects: (1) The application generates a construction progress evaluation index through deviation analysis based on construction progress data and planned progress data, and triggers an early warning and traces an abnormality direction when the construction progress is abnormal. By dynamically calculating the index, the construction progress deviation can be captured in real time, the instant early warning is triggered, the lag of traditional manual inspection or periodic reporting is avoided, and the abnormal response speed is significantly improved.

[0015] (2) The application performs real-time collection and index evaluation on the environment data, equipment operation state data and material data of the current construction stage, reduces the systematic shutdown or safety accidents caused by the superposition of environmental, equipment and material problems through dynamic correlation analysis, comprehensively identifies the potential risks in the construction process, and optimizes resource scheduling and emergency plans.

[0016] (3) The application inputs the construction site environment abnormality, construction site equipment abnormality and construction site material abnormality into an abnormal correlation analysis model, and outputs a construction progress abnormality direction, so as to accurately locate the environmental, equipment and material abnormality sources through fusion analysis of multi-dimensional abnormality indexes, and then comprehensively and accurately evaluate the comprehensive risk of the construction progress. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 The figure is a schematic diagram of the method steps of the application.

[0019] Figure 2 The figure is a schematic diagram of the construction site environment abnormality identification step of the application.

[0020] Figure 3 The figure is a schematic diagram of the abnormality direction identification and judgment of the abnormal correlation analysis model in the application. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the application will be described clearly and completely in the following with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only some embodiments of the application, not all embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0022] Please refer to Figure 1As shown, the present application provides an intelligent management method for construction of an engineering project, comprising: S1, obtaining construction progress data of a current construction stage of a target engineering project in real time through an engineering project progress management platform.

[0023] In a preferred embodiment of the present application, the construction progress data comprises actual construction start time and actual construction duration, wherein the specific analysis method of the actual construction duration is: extracting the actual construction start time and the current time of the current construction stage of the target engineering project, and calculating the actual construction duration by difference between the current time and the actual construction start time.

[0024] It should be noted that the target engineering project comprises one or more construction stages, different target engineering projects may contain different construction stages, the construction stage comprises one or more construction steps, and different construction stages may contain different construction steps, each construction step can be started simultaneously or non-simultaneously, and the construction step can be ended simultaneously or non-simultaneously.

[0025] For example, when the target engineering project is a cross-sea bridge erection project, the cross-sea bridge erection project comprises but is not limited to pile foundation construction, pile cap construction, pier construction, main body construction and auxiliary facility construction, etc., wherein taking the pile foundation construction as an example, the pile foundation construction can comprise but is not limited to construction preparation, hole forming operation, reinforcement construction, concrete pouring and subsequent treatment, wherein the construction steps of the construction preparation, hole forming operation, reinforcement construction, concrete pouring and subsequent treatment can be performed non-sequentially, and there can be time overlap between the steps.

[0026] S2, based on the deviation analysis of the construction progress data and the planned progress data, generating a construction progress evaluation index to determine whether there is construction progress abnormality in the current construction stage, and triggering an early warning when the construction progress is abnormal.

[0027] The construction progress evaluation index is generated by: performing absolute difference analysis on the actual construction start time in the construction progress data of the current construction stage and the planned construction start time in the planned progress data to obtain the absolute difference of the construction start time.

[0028] The actual construction start time and the planned task period of each planned construction step in the planned progress data are analyzed to obtain the actual construction task completion progress and the theoretical construction task completion progress.

[0029] The analysis contents of the actual construction task completion progress and the theoretical construction task completion progress are as follows: according to the current time and the actual construction start time, the actual construction period of the current construction stage is obtained, which is compared with the planned task period of each planned construction step to obtain the theoretical construction task completion progress corresponding to each construction step, and then the sum calculation is performed to obtain the theoretical construction task completion progress of the current construction stage.

[0030] The actual construction period of each planned construction step is obtained according to the current time and the actual start time of each planned construction step in the construction progress data of the current construction stage, and the construction task actual completion progress of each planned construction step is obtained by ratio calculation of the actual construction period and the planned task period of the corresponding step, and then the construction task actual completion progress of the current construction stage is obtained by summation calculation.

[0031] The construction progress evaluation index is generated by exponential deviation amplitude fusion calculation of the construction start time absolute difference, the construction task actual completion progress and the construction task theoretical completion progress.

[0032] The construction progress evaluation index analysis formula is , wherein is the construction progress evaluation index, wherein respectively represent the weight factor corresponding to the planned construction start time and the construction theoretical completion amount, , is the construction start time absolute difference, is the planned construction duration, and are the construction task actual completion progress and the construction task theoretical completion progress, respectively.

[0033] In the formula, the exponential function (exp) maps the input value to the range of 0 to 1, which is convenient for intuitive judgment of the progress abnormality degree. When the deviation is 0, =1, indicating complete compliance with the plan, the greater the deviation, the closer to 0, indicating that the progress abnormality is more serious. The exponential function can amplify the influence of small deviations and enhance the sensitivity to abnormal values. By and , the time deviation and the progress deviation are converted into dimensionless proportional values, ensuring the comparability of the evaluation of different projects or stages.

[0034] For example, The delay of the construction start time usually causes the overall delay of all subsequent tasks, such as material access, equipment scheduling, etc., which depend on the initial time node. Once the time deviation occurs, it is difficult to completely compensate by subsequent acceleration, while the progress deviation can be adjusted by partial adjustment of resource allocation. Therefore, the priority of the time deviation is usually higher than that of the task completion rate.

[0035] The specific way of judging whether there is construction progress abnormality in the current construction stage is as follows: comparing the construction progress evaluation index of the current construction stage with the pre-set construction progress evaluation index threshold value, if the construction progress evaluation index of the target engineering project in the current construction stage is greater than or equal to the pre-set construction progress evaluation index threshold value, it is judged that there is no construction progress abnormality in the current construction stage, otherwise, it is judged that there is construction progress abnormality in the current construction stage.

[0036] For example, the construction progress evaluation index threshold value is .

[0037] The construction progress evaluation index is generated by analyzing the deviation between the construction progress data and the planned progress data, and the abnormality is traced when the construction progress is abnormal. By dynamically calculating the index, the construction progress deviation can be captured in real time, the immediate warning is triggered, the lag of traditional manual inspection or periodic reporting is avoided, and the abnormal response speed is significantly improved.

[0038] S3, collect the temperature and the proportion of the length of the bad weather in the current construction stage through the deployed Internet of Things sensors, and identify the abnormal situation of the construction site environment based on the coupling analysis of the temperature and the proportion of the length of the bad weather.

[0039] The collection and acquisition method of the proportion of the length of the bad weather is as follows: extracting the weather information from the actual construction start time to the current time from the historical meteorological data, and then comparing it with the pre-set bad weather to obtain the corresponding duration of each duration of the bad weather, and then summing the length of each duration to obtain the historical bad weather length, and then comparing the historical bad weather length with the actual construction length to obtain the proportion of the length of the bad weather. The bad weather includes but is not limited to heavy rain, strong wind, continuous snowfall, etc.

[0040] It should be noted that the reason for choosing temperature and proportion of length of bad weather as construction site environment information is: 1. Temperature changes will directly affect the performance and stability of building materials. For example, excessively high or low temperature may cause changes in the physical and chemical properties of materials such as concrete and steel, thereby affecting their strength and durability. Workers are prone to heat stroke, heat exhaustion and other health problems in high temperature environment, and workers may face the risk of frostbite, joint pain and other risks in low temperature environment, thereby affecting work efficiency and safety. 2. Bad weather (such as heavy rain, strong wind, lightning, etc.) will directly cause the suspension of construction activities, thereby affecting the progress of the project. Bad weather may also cause damage to equipment and materials on the construction site, increasing additional costs.

[0041] For example Figure 2As shown, the identification of the construction site environment abnormal situation needs to build the construction site environment abnormal index of the target engineering project current construction stage, and the specific way is as follows: S31, extracting the temperature of the current construction stage, drawing the temperature change curve with time as the horizontal coordinate and temperature as the vertical coordinate, and marking the high temperature warning line and the low temperature warning line based on the pre-set high temperature threshold and the low temperature threshold, recording the curve on the high temperature warning line as the high temperature curve, and recording the curve below the low temperature warning line as the low temperature curve, obtaining each high temperature curve and each low temperature curve.

[0042] S32, the difference between the horizontal coordinates corresponding to the end point and the horizontal coordinates corresponding to the starting point of each high temperature curve is calculated to obtain the high temperature duration corresponding to each high temperature curve, and then the sum is calculated to obtain the monitoring high temperature duration of the current construction stage, and the ratio is calculated with the actual construction duration to obtain the monitoring high temperature duration ratio, and the monitoring low temperature duration ratio can be obtained in the same way.

[0043] S33, the monitoring high temperature duration ratio and the monitoring low temperature duration ratio are summed up according to the weight to obtain the temperature abnormal index of the current construction stage. Exemplarily, the weight corresponding to the monitoring high temperature duration ratio and the monitoring low temperature duration ratio of the target engineering project current construction stage is .

[0044] S34, the temperature abnormal index of the target engineering project current construction stage and the adverse weather duration ratio are calculated to obtain the construction site environment abnormal index.

[0045] S4, real-time acquisition of the running state information of the construction equipment and the material information of the construction site, and evaluation of the construction site equipment abnormal situation and the construction site material abnormal situation based on the running state information and the material information.

[0046] The evaluation of the construction site equipment abnormal situation needs to build the construction site equipment abnormal index of the current construction stage, and the specific way is as follows: the ratio of the equipment running fault duration in the construction equipment running state information to the corresponding planned use duration is calculated to obtain the equipment running fault evaluation index of the current construction stage.

[0047] The ratio of the equipment running power in the construction equipment running state information to the corresponding equipment rated running power is calculated to obtain the equipment running efficiency evaluation index of the current construction stage.

[0048] The equipment running fault evaluation index and the equipment running efficiency evaluation index of the current construction stage are coupled and analyzed by weighting to obtain the construction site equipment abnormal index of the current construction stage.

[0049] The construction site equipment abnormal index analysis formula of the current construction stage is , wherein respectively, and the weight factors corresponding to the equipment operation failure evaluation index and the equipment operation efficiency evaluation index of the current construction stage, and respectively, are the equipment operation failure evaluation index and the equipment operation efficiency evaluation index. The equipment operation failure evaluation index ( ) reflects the frequency or severity of equipment failure (such as the proportion of failure time to planned use time), and the higher the value, the more serious the equipment abnormality problem. The equipment operation efficiency evaluation index ( ) measures the equipment operation efficiency (such as the ratio of actual power to rated power), and converts high efficiency ( ) into low abnormal contribution, and low efficiency ( ) into high abnormal contribution.

[0050] It should be noted that the reasons for selecting the equipment operation failure evaluation index and the equipment operation efficiency evaluation index as the influencing factors of the construction site equipment abnormality index of the current construction stage are as follows: 1. The equipment operation failure evaluation index is an index for measuring the frequency and severity of equipment failure within a certain period of time. Through this index, the stability of the equipment, i.e. the ability of the equipment to operate without failure, can be intuitively understood. 2. The equipment operation efficiency evaluation index is an index reflecting the ability of the equipment to complete tasks under certain conditions. High-efficiency equipment can complete more work in a shorter time, thereby improving construction efficiency.

[0051] It should be noted that the setting of the weight factors corresponding to the equipment operation failure evaluation index and the equipment operation efficiency evaluation index of the current construction stage is based on the following factors: the impact of equipment failure on construction progress and safety, the frequency and severity of failure, the contribution of equipment efficiency to construction efficiency, the balance of usage frequency and load, and energy consumption and economy. By considering these factors comprehensively and combining expert experience and historical data, the weights of the indices are determined scientifically and reasonably to reflect the equipment status comprehensively and accurately. Exemplarily, .

[0052] The material information of the construction site includes construction material types and corresponding construction material planned arrival times, construction material actual arrival times, and construction material quality compliance indices of each construction material. The analysis method of the construction material quality compliance index is as follows: the demand weight and quality compliance weight of each construction material in the current construction stage of the target engineering project are obtained, and then the quality compliance index of each construction material is calculated by comparing the quality compliance weight and the demand weight of each construction material in the current construction stage of the target engineering project. The smallest quality compliance index is selected as the construction material quality compliance index of the current construction stage of the target engineering project.

[0053] It needs to be explained that the reason for selecting the minimum quality compliance index as the construction material quality compliance index of the current construction stage of the target engineering project: using the minimum quality compliance index as the construction material quality compliance index can simplify the process of quality control and evaluation. In actual construction, the quality data of the material can be compared with the minimum quality compliance index through sampling detection of the material, so as to quickly judge whether the material is qualified. This method is not only efficient, but also easy to operate, which is helpful for quality control and progress management in the construction process.

[0054] The evaluation of the material abnormality of the construction site needs to construct the material abnormality index of the construction site of the current construction stage, and the specific way is as follows: the construction material quality compliance index, the construction material planned arrival time and the construction material actual arrival time corresponding to each construction material of the current construction stage are compared with the pre-set allowable difference of the planned arrival time and the actual arrival time to obtain the material abnormality index of the construction site of the current construction stage.

[0055] The calculation formula of the material abnormality index of the construction site of the current construction stage is The material abnormality index of the construction site of the current construction stage of the target engineering project is analyzed , wherein represents the pre-set allowable difference of the planned arrival time and the actual arrival time, , and are the construction material quality compliance index, the construction material planned arrival time and the construction material actual arrival time corresponding to each construction material of the current construction stage, represents the number of construction materials, , represents the quantity of construction materials.

[0056] In the formula, the average processing of all material arrival time deviations is represented. The deviation of each material is standardized by its allowable difference to avoid the incomparability of different materials due to different time units or importance. If the actual time is within the allowable range ( ), the absolute value of the ratio is ≤1, the abnormal contribution is controllable, and if it exceeds the allowable range ( ), the absolute value of the ratio is >1, which significantly improves the abnormal index. The average processing ensures that different material quantity projects are comparable, and avoids the abnormal index of large projects being too high due to too many materials. The higher the quality compliance is ( ), the larger the denominator is, and the smaller the overall value is, indicating that the quality abnormality contributes to the total abnormal index.

[0057] The application reduces systemic shutdown or safety accidents caused by the superposition of environment, equipment and material problems through real-time collection and index evaluation of current construction stage environment data, equipment operation state data and material data, dynamic correlation analysis, comprehensive identification of potential risks in the construction process, and optimization of resource scheduling and emergency plans.

[0058] S5, inputting the construction site environment abnormal situation, the construction site equipment abnormal situation and the construction site material abnormal situation into an abnormal correlation analysis model, and outputting a construction progress abnormal direction.

[0059] As shown in Figure 3 , the abnormal correlation analysis model specifically includes: if the construction site environment abnormal index is greater than the set construction site environment abnormal index threshold value, the construction progress abnormal direction is environment abnormality.

[0060] If the construction site equipment abnormal index is greater than the set construction site equipment abnormal index threshold value, the construction progress abnormal direction is equipment abnormality.

[0061] If the construction site material abnormal index is greater than the set construction site material abnormal index threshold value, the construction progress abnormal direction is material abnormality.

[0062] It should be noted that the specific construction progress abnormal direction can be one or more of environment abnormality, equipment abnormality and material abnormality.

[0063] The application inputs the construction site environment abnormal situation, the construction site equipment abnormal situation and the construction site material abnormal situation into an abnormal correlation analysis model, and outputs a construction progress abnormal direction, so as to accurately locate the environment, equipment and material abnormal root cause through multi-dimensional abnormal index fusion analysis, and then comprehensively and accurately evaluate the comprehensive risk of construction progress.

[0064] The above content is only an example and description of the concept of the application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the application or exceed the scope defined by the application, which shall belong to the protection scope of the application.

Claims

1. A method for intelligent management of construction projects, characterized in that, include: S1. Obtain real-time construction progress data of the target project at the current construction stage through the project progress management platform; S2. Based on the deviation analysis between construction progress data and planned progress data, a construction progress evaluation index is generated to determine whether there is any construction progress abnormality in the current construction stage. When the construction progress is abnormal, an early warning is triggered. S3. Collect temperature and the percentage of severe weather duration during the current construction phase through deployed IoT sensors, and identify abnormal environmental conditions at the construction site based on the coupled analysis of temperature and the percentage of severe weather duration. S4. Collect real-time operating status information of construction equipment and material information at the construction site, and assess the abnormal conditions of equipment and materials at the construction site based on the operating status information and material information, respectively. S5. Input the abnormal conditions of the construction site environment, the abnormal conditions of the construction site equipment, and the abnormal conditions of the construction site materials into the abnormal correlation analysis model, and output the abnormal construction progress indication; The assessment of equipment anomalies at the construction site requires the construction of an equipment anomaly index for the current construction phase, which is implemented as follows: The ratio of the fault duration of each piece of equipment in the construction equipment operation status information to the corresponding planned usage duration is calculated to obtain the equipment operation fault assessment index for the current construction stage. The ratio of the operating power of each piece of equipment in the construction equipment operation status information to the rated operating power of the corresponding equipment is calculated to obtain the equipment operation efficiency evaluation index for the current construction stage. By performing a weighted coupling analysis of the equipment operation failure assessment index and the equipment operation efficiency assessment index during the current construction phase, the abnormality index of the construction site equipment during the current construction phase is obtained. The material information at the construction site includes the type of construction material, the planned arrival time of each construction material, the actual arrival time of the construction material, and the quality compliance index of the construction material. The assessment of material anomalies at the construction site requires the construction of a material anomaly index for the current construction phase, which is implemented as follows: The construction site material anomaly index for the current construction stage is obtained by merging the planned arrival time, actual arrival time, and quality compliance index of each construction material in the current construction stage with the pre-set allowable difference between the planned arrival time and the actual arrival time. The method for collecting the percentage of severe weather duration is as follows: Weather information from the actual start time of construction to the current time is extracted from historical meteorological data. This information is then compared with pre-set severe weather conditions to obtain the duration of each severe weather period. The duration of each period is then summed to obtain the historical severe weather duration. Finally, the historical severe weather duration is compared with the actual construction duration to obtain the percentage of severe weather duration.

2. The intelligent management method for construction projects as described in claim 1, characterized in that: The construction progress assessment index is generated in the following way: The absolute difference between the actual construction start time in the current construction phase data and the planned construction start time in the planned progress data is analyzed to obtain the absolute difference of the construction start time. By analyzing the actual construction start time and the planned task time periods of each planned construction step in the planned progress data, we can obtain the actual completion progress and the theoretical completion progress of the construction task. The construction progress evaluation index is generated by integrating the absolute difference in construction start time, the actual progress of construction tasks, and the theoretical progress of construction tasks with the index deviation range.

3. The intelligent management method for construction projects as described in claim 2, characterized in that: The analysis of the actual completion progress and theoretical completion progress of the construction tasks is as follows: The actual construction period of the current construction stage is obtained by comparing the current time with the actual construction start time. This period is then compared with the planned task period of each planned construction step to obtain the theoretical completion progress of the construction task corresponding to each construction step. Finally, the summation is performed to obtain the theoretical completion progress of the construction task of the current construction stage. Based on the actual start time of each planned construction step in the current construction progress data and the current construction stage, the actual construction time period of each planned construction step is obtained. The ratio of this ratio to the planned task time period of the corresponding step is calculated to obtain the actual completion progress of the construction task of each planned construction step. Then, the summation is performed to obtain the actual completion progress of the construction task of the current construction stage.

4. The intelligent management method for construction projects as described in claim 2, characterized in that: The specific methods for determining whether there are any abnormalities in the current construction progress stage are as follows: The construction progress assessment index of the current construction stage is compared with the pre-set construction progress assessment index threshold. If the construction progress assessment index of the current construction stage of the target project is greater than or equal to the pre-set construction progress assessment index threshold, it is determined that there is no construction progress abnormality in the current construction stage; otherwise, it is determined that there is a construction progress abnormality in the current construction stage.

5. The intelligent management method for construction projects as described in claim 1, characterized in that: Identifying abnormal conditions at the construction site requires constructing an abnormal construction site environment index for the current construction phase of the target project. The specific method is as follows: Extract the temperature of the current construction stage, plot the temperature change curve with time as the x-axis and temperature as the y-axis, and mark the high temperature warning line and low temperature warning line based on the pre-set high temperature threshold and low temperature threshold. The curve on the high temperature warning line is recorded as the high temperature curve, and the curve on the low temperature warning line is recorded as the low temperature curve, thus obtaining each high temperature curve and each low temperature curve. The difference between the x-coordinate of the end point and the x-coordinate of the start point of each high temperature curve is used to calculate the high temperature duration of each high temperature curve. Then, the summation is used to calculate the high temperature monitoring duration of the current construction stage. The ratio of this to the actual construction duration is used to calculate the proportion of high temperature monitoring duration. Similarly, the proportion of low temperature monitoring duration can be obtained. The temperature anomaly index for the current construction phase is calculated by summing the proportions of high-temperature monitoring time and low-temperature monitoring time according to their weights. The construction site environmental anomaly index is obtained by averaging the temperature anomaly index and the percentage of severe weather duration during the current construction phase of the target project.

6. The intelligent management method for construction projects as described in claim 1, characterized in that: The analysis method for the construction material quality compliance index is as follows: Obtain the required weight and quality compliance weight of each construction material in the current construction phase of the target project. Then, calculate the quality compliance index of each construction material by proportionally calculating the quality compliance weight and required weight of each construction material in the current construction phase of the target project. Finally, compare and select the minimum quality compliance index as the quality compliance index of the construction materials in the current construction phase of the target project.

7. The intelligent management method for construction projects as described in claim 1, characterized in that: The anomaly correlation analysis model specifically includes: If the construction site environmental anomaly index is greater than the set construction site environmental anomaly index threshold, then the construction progress anomaly indicates an environmental anomaly. If the equipment anomaly index at the construction site exceeds the set threshold for the equipment anomaly index at the construction site, then the construction progress anomaly indicates equipment anomaly. If the material anomaly index at the construction site exceeds the set threshold for the material anomaly index at the construction site, then the construction progress anomaly indicates a material anomaly.

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