Engineering cost prediction system based on big data analysis
By designing an engineering cost prediction system based on big data analysis, the impact of market price fluctuations, environmental changes and unexpected events on engineering cost prediction is solved, and higher prediction accuracy and data accuracy are achieved.
Patent Information
- Application Number
- CN202510226033.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-06-10
AI Technical Summary
When existing engineering cost prediction systems face market price fluctuations, dynamic environmental changes and unforeseen unexpected events, it is difficult to accurately predict engineering cost, resulting in data accuracy and usage limitations.
Design an engineering cost prediction system based on big data analysis, including cost monitoring end, engineering prediction end and prediction compensation end. The cost monitoring end monitors market price fluctuations and environmental parameters in real time, the engineering prediction end predicts progress abnormalities, and the prediction compensation end improves prediction accuracy by monitoring and correcting unexpected situations in real time.
By monitoring and predicting market price fluctuations, environmental changes and unexpected events in real time, the system can improve the accuracy and data accuracy of engineering cost prediction and reduce usage limitations.
Smart Images
Figure CN120125265A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data analysis, and particularly to a project cost prediction system based on big data analysis. Background Technique
[0002] Project cost prediction based on big data analysis is a method that uses big data technology and algorithms to accurately predict the project cost of engineering projects. Data is collected from various stages and links of engineering projects, including various information during the processes of project planning, design, construction, acceptance, etc., such as bill of quantities, material and equipment procurement list, labor cost records, construction progress reports, quality inspection reports, etc. At the same time, external data is also collected, such as market conditions, policies and regulations, meteorological data, geographical information, etc. The collected raw data is cleaned to remove noise data, duplicate data and error data, fill in missing values, process outliers, etc., to ensure the quality and accuracy of the data. Then, data from different sources and in different formats are integrated to form a unified data format and standard for subsequent analysis and application.
[0003] Currently, there are some deficiencies in project cost prediction: 1. Since the market prices of building materials, labor and equipment in the engineering construction project fluctuate, these market price fluctuations will have a direct impact on the project cost, resulting in inaccurate prediction costs of the project cost; 2. Since the environment is dynamically changing, the dynamically changing harsh environment will affect the project construction progress, and the extended construction period will increase the project cost. Such unforeseen situations during the construction process cannot be predicted in advance, and the abnormal project cost cannot be predicted in advance, which will directly affect the data accuracy of the project cost prediction system; 3. Since there are many uncertain factors in the engineering construction process, including environmental parameters and accidental injury events, these factors cannot be corrected in time according to the prediction results in the project cost prediction system, resulting in limitations in the use of the project cost prediction system.
[0004] Therefore, a project cost prediction system based on big data analysis is proposed to solve the above problems. Summary of the Invention
[0005] The main purpose of the present invention is to provide a project cost prediction system based on big data analysis to solve the problems raised in the above background.
[0006] To achieve the above purpose, the technical solution adopted by the present invention is: a project cost prediction system based on big data analysis, including a cost monitoring terminal, an engineering prediction terminal and a prediction compensation terminal; The cost monitoring terminal is used to set a preset cost of the building project cost, and collect market price fluctuations in real time, combine with historical prices to monitor cost anomalies during the construction process in real time, and analyze whether it exceeds the preset cost of the building project according to the price fluctuations; The engineering prediction terminal is used to predict whether the progress of the engineering construction is abnormal according to the price fluctuation analysis result, and to monitor the environmental parameters during the construction process of the building in real time, and to judge in real time whether the dynamically changing environmental parameters affect the progress of the engineering construction, and to predict in advance whether the construction progress is normal according to the dynamically changing environmental parameters at the current moment. If the construction progress is abnormal, the system will issue a voice alarm; The prediction compensation terminal is used to publicize safety precautions in real time according to the construction progress prediction result, and to inform the construction workers in real time in combination with the awareness of prevention. It monitors in real time whether there are any accidents in the dangerous area through a camera. If an accident occurs, it will perform engineering substitution operations in real time, and then track the substitution execution result in real time through a data tracker.
[0007] The cost monitoring terminal includes an engineering preset module, a price fluctuation module and a fluctuation accounting module; The engineering preset module includes a construction period preset unit, a material preset unit and a personnel preset unit; The construction period preset unit is used to set the construction period duration for the building project in the corresponding regional scope, as well as the construction period progress corresponding to the construction period duration, and to preset the construction benefits of the building construction according to the building project in the corresponding regional scope; The material preset unit is used to set the building material scope for the building project in the corresponding regional scope, and to set the equivalent-price building materials with the same function that can be used for material replacement according to the building material scope; The personnel preset unit is used to set the building construction personnel for the building project in the corresponding regional scope, and to set the labor cost of the building construction personnel.
[0008] The price fluctuation module includes a market price unit and a historical price unit; The market price unit is used to collect the market price at the current moment in real time through a data collector. The market price includes the building material price, labor cost price and replacement building material price within the corresponding scope; The historical price unit is used to record the market price at different historical moments in real time through a data recorder.
[0009] The fluctuation accounting module includes a price self-tracking unit, a fluctuation accounting unit and a cost warning unit; The price self-tracking unit is used to track the market price at the current moment in real time through a data tracker, and to record and sort it in real time through a data recorder; The fluctuation accounting unit is used to perform fluctuation accounting in real time according to the market price at the current moment, and calculate the fixed cost of the building materials , and the calculation formula is as follows: +HG; Calculate the break-even point of the market price fluctuation of building materials , and the calculation formula is as follows: +C+H ; Calculate the target profit value Y3 under market price fluctuations, and the calculation formula is as follows: +C+H , where C represents the preset marginal cost of materials, F represents the preset fixed cost of materials, G represents the fluctuation base, H represents the deduction price base ratio, Q represents the initial base price of building materials, E represents the target profit of building materials, and X represents the building materials corresponding to the market fluctuation price; If Y3 is greater than or equal to 0, the cost warning unit indicates that the market price fluctuation has an impact on the project cost, and the system reports and issues a voice alarm reminder. If Y3 is less than 0, it indicates that the market price fluctuation has no impact on the project cost.
[0010] The project prediction end includes an environment detection module, a construction period judgment module, and a project prediction module; The environment detection module includes an environment detection unit and a construction period progress unit; The environment detection unit is used to real-time monitor the construction environment parameters of the corresponding area range through environmental monitoring equipment and real-time record them through a data recorder; The construction period progress unit is used to set corresponding construction engineering projects according to different construction progress.
[0011] The construction period judgment module includes a standard environment unit and an impact judgment unit; The standard environment unit is used to set the standard environment parameters of the corresponding construction period of the construction project in the corresponding area range; The impact judgment unit is used to calculate the difference between the environmental parameters corresponding to the current moment of the building construction in the corresponding area range and the standard environment parameters, and real-time judge whether it affects the construction progress of the building engineering project. The judgment method is as follows: Calculate the difference between the environmental parameters corresponding to the current moment of the building construction in the corresponding area range and the standard environment parameters. If the difference is less than or equal to 2 or greater than or equal to -2, it means that it does not affect the construction progress of the building engineering project. If the difference is greater than 2 or less than -2, it means that it affects the construction progress of the building engineering project.
[0012] The project prediction module includes a project prediction unit and a cost warning unit; The project prediction unit is used to real-time predict whether the shared cost is abnormal according to the weather forecast and the judgment result of the difference between the environmental parameters and the standard environment parameters. The prediction method is as follows: Taking one day as a cycle, receive the judgment results calculated from the differences between the environmental parameters of five cycles and the standard environmental parameters through a data receiver, and calculate the average value of the environmental parameters of five cycles. If the judgment results of three cycles all indicate that the construction progress of the building project is affected, it means that the project cost is abnormal. If only the judgment result of one cycle indicates that the construction progress of the building project is affected, it means that the project cost is normal; The cost warning unit is used to send out a voice alarm through the reporting system and feedback to the construction management personnel for handling when the project cost is abnormal.
[0013] The prediction compensation end includes an accident prevention module, an accident event module, an accident compensation module, and a project tracking module; The accident prevention module includes a safety publicity unit and a prevention awareness unit; The safety publicity unit is used to broadcast the safety slogans of building construction in real time through the radio and conduct publicity on safety precautions in real time in combination with the project cost prediction results; The prevention awareness unit is used to inform the building construction personnel through real-time reminders of prevention awareness.
[0014] The accident event module includes an accident situation unit, which is used to collect the corresponding area range in real time through a camera, set a dangerous area according to the building construction operations, and monitor in real time whether an accident situation occurs in the dangerous area; The accident compensation module includes a project replacement unit, which is used to send out an accident event alarm reminder through the reporting system and execute the project replacement plan when it is detected that an accident occurs in the corresponding area range. The project replacement plan is executed through personnel scheduling and job replacement at key construction positions.
[0015] The project tracking module includes a project tracking unit, and the project tracking unit includes a construction period comparison unit, a personnel comparison unit, a price comparison unit, and a benefit comparison unit; The construction period comparison unit is used to calculate the difference between the construction period after the project cost is completed and the preset construction period through data comparison. If the difference result is less than or equal to 5, it means that the project cost is normal. If the difference result is greater than 5, it means that the project cost is abnormal, and the reporting system sends out a voice alarm reminder; The personnel comparison unit is used to calculate the difference between the number of construction personnel after the project cost is completed and the preset number of building construction personnel through data comparison. If the difference result is less than or equal to 2, it means that the project cost is normal. If the difference result is greater than 2, it means that the project cost is abnormal, and the reporting system sends out a voice alarm reminder; The price comparison unit is used to calculate the difference between the construction cost after the completion of the project cost and the preset construction cost through data comparison. If the difference result is less than or equal to 20,000, it means that the project cost is normal. If the difference result is greater than 20,000, it means that the project cost is abnormal, and the reporting system issues a voice alarm reminder. The benefit comparison unit is used to calculate the difference between the construction benefit after the completion of the project cost and the preset construction benefit through data comparison. If the difference result is greater than 0, it means that the project cost is normal. If the difference result is less than 0, it means that the project cost is abnormal, and the reporting system issues a voice alarm reminder.
[0016] The present invention has the following beneficial effects: 1. In the present invention, by setting up a cost monitoring terminal, when predicting the project cost based on big data analysis means, the cost anomaly during the construction project is monitored in real time by combining historical prices, and it is analyzed whether it exceeds the preset cost of the construction project according to price fluctuations. It can combine the market price fluctuations of building materials, labor, and equipment in the construction project, and monitor in real time whether these market price fluctuations will affect the project cost, increasing the accuracy of the predicted cost of the project.
[0017] 2. In the present invention, by setting up a project prediction terminal, when predicting the project cost based on big data analysis means, it is judged in real time whether the dynamically changing environmental parameters affect the project construction progress, and the construction progress is predicted in advance by combining the dynamically changing environmental parameters at the current moment to determine whether it is normal, so that the unforeseen situations during the construction process can be predicted in advance, further predicting the project cost anomaly in advance, and increasing the data accuracy of the project cost prediction system.
[0018] 3. In the present invention, by setting up a prediction compensation terminal, when predicting the project cost based on big data analysis means, it informs the constructors in real time by combining the awareness of prevention, and monitors in real time whether there are unexpected situations in the dangerous area through a camera. If there are unexpected situations, the project replacement operation is carried out in real time, and then the replacement execution result is tracked in real time through a data tracker, so that the accidental injury events occurring during the project construction process can be corrected in real time according to the prediction result, reducing the limitations of the use of the project cost prediction system. Description of the Drawings
[0019] Figure 1 It is a schematic diagram of the overall system architecture of a project cost prediction system based on big data analysis according to the present invention; Figure 2 It is a schematic diagram of the structure of the cost monitoring terminal of a project cost prediction system based on big data analysis according to the present invention; Figure 3 It is a schematic diagram of the structure of the project prediction terminal of a project cost prediction system based on big data analysis according to the present invention; Figure 4 This is a schematic diagram of the framework of the prediction compensation end of a project cost prediction system based on big data analysis according to the present invention. Specific embodiments
[0020] To make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.
[0021] Embodiment 1 Please refer to Figures 1 to 2 As shown: A project cost prediction system based on big data analysis includes a cost monitoring end, a project prediction end and a prediction compensation end; The cost monitoring end is used to set the preset cost of the construction project cost, and collect the market price fluctuations in real time, combine the historical prices to monitor the cost anomalies in the construction project process in real time, and analyze whether it exceeds the preset cost of the construction project according to the price fluctuations; The project prediction end is used to predict whether the project construction progress is abnormal according to the price fluctuation analysis result (if the price fluctuation analysis exceeds the preset cost of the construction project, it means that the project construction progress is abnormal), and by monitoring the environmental parameters in the construction process of the construction project in real time, and judging in real time whether the dynamically changing environmental parameters affect the project construction progress, and predicting in advance whether the construction progress is normal according to the dynamically changing environmental parameters at the current moment. If the construction progress is abnormal, the system will be reported to issue a voice alarm; The prediction compensation end is used to publicize safety precautions in real time according to the construction progress prediction result, and inform the construction workers in real time in combination with the awareness of prevention. It monitors in real time whether there are unexpected situations in the dangerous area through the camera. If there are unexpected situations, it will perform engineering replacement operations in real time, and then track the replacement execution result in real time through the data tracker.
[0022] The cost monitoring end includes a project preset module, a price fluctuation module and a fluctuation accounting module; The project preset module includes a construction period preset unit, a material preset unit and a personnel preset unit; The construction period preset unit is used to set the construction period duration for the construction project in the corresponding regional scope, as well as the construction period progress corresponding to the construction period duration, and preset the construction benefits of the building construction according to the construction project in the corresponding regional scope; The material preset unit is used to set the building material scope for the construction project in the corresponding regional scope, and set the same-role fair-priced building materials that can be replaced according to the building material scope; The personnel preset unit is used to set the building construction personnel for the construction project in the corresponding regional scope, and set the labor cost of the building construction personnel.
[0023] The price fluctuation module includes a market price unit and a historical price unit; The market price unit is used to collect the current market price in real time through a data collector. The market price includes the building material price, labor cost price, and replacement building material price within the corresponding range; The historical price unit is used to record the market prices at different historical moments in real time through a data recorder. By setting the preset cost of the construction project cost and collecting the market price fluctuations in real time, it combines the historical prices to monitor the cost anomalies in the construction process in real time, and analyzes whether it exceeds the preset cost of the construction project based on the price fluctuations.
[0024] The fluctuation accounting module includes a price self-tracking unit, a fluctuation accounting unit, and a cost warning unit; The price self-tracking unit is used to track the current market price in real time through a data tracker, and record and sort it in real time through a data recorder; The fluctuation accounting unit is used to perform real-time fluctuation accounting based on the current market price and calculate the fixed cost of building materials , and the calculation formula is as follows: +HG; Calculate the break-even point of the market price fluctuation of building materials , and the calculation formula is as follows: +C+H ; Calculate the target profit value Y3 under the market price fluctuation, and the calculation formula is as follows: +C+H , where C represents the preset marginal cost of materials, F represents the preset fixed cost of materials, G represents the fluctuation base, H represents the deduction price base ratio, Q represents the initial base price of building materials, E represents the target profit of building materials, and X represents the building materials corresponding to the market fluctuation price; The cost warning unit is used to indicate that if Y3 is greater than or equal to 0, it means that the market price fluctuation has an impact on the project cost, and report to the system to issue a voice alarm reminder. If Y3 is less than 0, it means that the market price fluctuation has no impact on the project cost. It can combine the market price fluctuations of building materials, labor, and equipment in the engineering construction process to monitor in real time whether these market price fluctuations will have an impact on the project cost, and increase the accuracy of the project cost prediction.
[0025] Embodiment 2 Please refer to Figure 3 as shown: Based on the basis of Embodiment 1, the project prediction end includes an environment detection module, a construction period judgment module, and a project prediction module; The environment detection module includes an environment detection unit and a construction period progress unit; The environmental detection unit is used to monitor the construction environment parameters of the corresponding area in real time through environmental monitoring equipment and record them in real time through a data recorder; The construction period progress unit is used to set corresponding construction projects according to different project progress, monitor the environmental parameters in the construction process of the construction project in real time, and combine the construction period progress to judge in real time whether the dynamically changing environmental parameters affect the project construction progress.
[0026] The construction period judgment module includes a standard environment unit and an impact judgment unit; The standard environment unit is used to set the standard environmental parameters for the corresponding construction period of the construction project in the corresponding area; The impact judgment unit is used to calculate the difference between the environmental parameters corresponding to the current moment of the building construction in the corresponding area and the standard environmental parameters, and judge in real time whether it affects the construction progress of the construction project. The judgment method is as follows: Calculate the difference between the environmental parameters corresponding to the current moment of the building construction in the corresponding area and the standard environmental parameters. If the difference is less than or equal to 2 or greater than or equal to -2, it means that it does not affect the construction progress of the construction project. If the difference is greater than 2 or less than -2, it means that it affects the construction progress of the construction project.
[0027] The project prediction module includes a project prediction unit and a cost warning unit; The project prediction unit is used to predict in real time whether the shared cost is abnormal according to the weather forecast and the judgment result of the difference between the environmental parameters and the standard environmental parameters. The prediction method is as follows: Record one day as a cycle, receive the judgment results of the difference calculation between the environmental parameters and the standard environmental parameters in five cycles through a data receiver, and calculate the average value of the environmental parameters in five cycles. If the judgment results of three cycles are all that it affects the construction progress of the construction project, it means that the project cost is abnormal. If only the judgment result of one cycle is that it affects the construction progress of the construction project, it means that the project cost is normal; The cost warning unit is used to send a voice alarm when the project cost is abnormal, report it to the system and feedback it to the construction management personnel for handling. Combine the dynamically changing environmental parameters at the current moment to predict in advance whether the construction progress is normal. If the construction progress is abnormal, report it to the system and send a voice alarm, so that unforeseen situations in the construction process can be predicted in advance, further predict the abnormal project cost in advance, and increase the data accuracy of the project cost prediction system.
[0028] Embodiment III Please refer to Figure 4 As shown: Based on Embodiment I, the prediction compensation end includes an accident prevention module, an accident event module, an accident compensation module and a project tracking module; The accident prevention module includes a safety publicity unit and a prevention awareness unit; The safety promotion unit is used to broadcast safety slogans of building construction in real time through radio, and combine with the engineering cost prediction results to promote safety precautions in real time; The awareness prevention unit is used to inform construction workers through real-time reminders of awareness prevention.
[0029] The accident event module includes an accident situation unit. The accident situation unit is used to collect the corresponding area range in real time through a camera, set a dangerous area according to building construction operations, and monitor in real time whether an accident situation occurs in the dangerous area; The accident compensation module includes a project replacement unit. The project replacement unit is used to report an accident event alarm reminder to the system and execute a project replacement plan when an accident situation is detected in the corresponding area range. The project replacement plan is executed through personnel scheduling and job completion at key construction positions, and combined with awareness prevention to inform the constructors in real time, ensuring that workers are always online during the construction process, and monitoring in real time through a camera whether an accident situation occurs in the dangerous area.
[0030] The project tracking module includes a project tracking unit. The project tracking unit includes a construction period comparison unit, a personnel comparison unit, a price comparison unit, and a benefit comparison unit; The construction period comparison unit is used to calculate the difference between the construction period after the completion of the engineering cost and the preset construction period through data comparison. If the difference result is less than or equal to 5, it means that the engineering cost is normal. If the difference result is greater than 5, it means that the engineering cost is abnormal, and the system reports a voice alarm reminder; The personnel comparison unit is used to calculate the difference between the number of construction workers after the completion of the engineering cost and the preset number of building construction workers through data comparison. If the difference result is less than or equal to 2, it means that the engineering cost is normal. If the difference result is greater than 2, it means that the engineering cost is abnormal, and the system reports a voice alarm reminder; The price comparison unit is used to calculate the difference between the construction cost after the completion of the engineering cost and the preset building construction cost through data comparison. If the difference result is less than or equal to 20000, it means that the engineering cost is normal. If the difference result is greater than 20000, it means that the engineering cost is abnormal, and the system reports a voice alarm reminder; The benefit comparison unit is used to calculate the difference between the construction benefit after the completion of the engineering cost and the preset building construction benefit through data comparison. If the difference result is greater than 0, it means that the engineering cost is normal. If the difference result is less than 0, it means that the engineering cost is abnormal, and the system reports a voice alarm reminder. In case of an accident situation, an engineering replacement operation is carried out in real time, and then the replacement execution result is tracked in real time through a data tracker, so that accidental injury events occurring during the project construction process can be corrected in time according to the prediction results, reducing the limitations of the use of the engineering cost prediction system.
[0031] In the present invention, there is a project cost prediction system based on big data analysis. When the system operates, first, by setting a preset cost for the construction project cost, and collecting the market price fluctuations in real time, combining with the historical prices to monitor the cost anomalies in the construction process in real time, and analyzing whether it exceeds the preset cost of the construction project according to the price fluctuations. When predicting the project cost based on big data analysis means, by setting a preset cost for the construction project cost, and collecting the market price fluctuations in real time, combining with the historical prices to monitor the cost anomalies in the construction process in real time, and analyzing whether it exceeds the preset cost of the construction project according to the price fluctuations, so that when the system predicts the project cost, it can combine the market price fluctuations of building materials, labor and equipment in the construction project, and monitor in real time whether these market price fluctuations will affect the project cost, increasing the accuracy of the project cost prediction; then by monitoring the environmental parameters in the construction process of the building project in real time, and judging in real time whether the dynamically changing environmental parameters affect the project construction progress, predicting in advance whether the construction progress is normal according to the dynamically changing environmental parameters at the current moment. If the construction progress is abnormal, the system will report and issue a voice alarm. When predicting the project cost based on big data analysis means, by monitoring the environmental parameters in the construction process of the building project in real time, and combining with the project duration progress to judge in real time whether the dynamically changing environmental parameters affect the project construction progress, and predicting in advance whether the construction progress is normal according to the dynamically changing environmental parameters at the current moment. If the construction progress is abnormal, the system will report and issue a voice alarm, so that the unforeseen situations in the construction process can be predicted in advance, further predicting the project cost anomalies in advance, and increasing the data accuracy of the project cost prediction system; finally, by publicizing the safety precautions in real time according to the construction progress prediction results, and informing the constructors in real time in combination with the prevention awareness, monitoring in real time whether there are any accidents in the dangerous area through a camera. If an accident occurs, an engineering replacement operation will be carried out in real time, and then the replacement execution result will be tracked in real time through a data tracker. When predicting the project cost based on big data analysis means, by publicizing the safety precautions in real time according to the construction progress prediction results, and informing the constructors in real time in combination with the prevention awareness, ensuring that the workers are always online during the construction process, and monitoring in real time whether there are any accidents in the dangerous area through a camera. If an accident occurs, an engineering replacement operation will be carried out in real time, and then the replacement execution result will be tracked in real time through a data tracker, so that the accidental injury events occurring in the project construction process can be corrected in time according to the prediction results in real time, reducing the limitations of the use of the project cost prediction system.
[0032] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.
Claims
1. A construction cost prediction system based on big data analysis, characterized in that: The engineering cost prediction system based on big data analysis includes a cost monitoring end, an engineering prediction end and a prediction compensation end; The cost monitoring terminal is used to set a preset cost for the construction project, collect market price fluctuations in real time, monitor cost anomalies in the construction process in real time in combination with historical prices, and analyze whether the preset cost of the construction project is exceeded based on price fluctuations; The project prediction terminal is used to predict whether the progress of the project construction is abnormal according to the price fluctuation analysis results, and to monitor the environmental parameters in the construction process of the construction project in real time, and to determine in real time whether the dynamically changing environmental parameters affect the progress of the project construction. It is used to predict in advance whether the construction progress is normal according to the dynamically changing environmental parameters at the current moment. If the construction progress is abnormal, the reporting system will issue a voice alarm; The prediction compensation end is used to publicize safety precautions in real time through the construction progress prediction results, and to inform the construction workers in real time in combination with the prevention awareness, and to monitor in real time through the camera whether there are any unexpected conditions in the dangerous area. If an unexpected condition occurs, the engineering substitute operation is carried out in real time, and the substitute execution results are tracked in real time through the data tracker.
2. The system according to claim 1, characterized in that The cost monitoring end includes an engineering preset module, a price fluctuation module and a fluctuation accounting module; The engineering preset module includes a construction period preset unit, a material preset unit and a personnel preset unit; The construction period preset unit is used to set the construction period duration and the construction progress corresponding to the construction period duration according to the construction project in the corresponding area, and preset the construction benefits according to the construction project in the corresponding area; The material presetting unit is used to set the range of building materials according to the construction projects in the corresponding area, and to set the same-function and affordable building materials that can be replaced according to the range of building materials; The personnel preset unit is used to set construction personnel according to the construction project in the corresponding area, and to set the labor cost of the construction personnel.
3. The system according to claim 2, characterized in that The price fluctuation module includes a market price unit and a historical price unit; The market price unit is used to collect the current market price in real time through a data collector, and the market price includes the building material price, labor cost price and replacement building material price within the corresponding range; The historical price unit is used to record the market prices at different historical moments in real time through a data recorder.
4. The system according to claim 3, characterized in that The fluctuation accounting module includes a price self-tracking unit, a fluctuation accounting unit and a cost early warning unit; The price self-tracking unit is used to track the current market price in real time through a data tracker, and to record and sort in real time through a data recorder; The fluctuation calculation unit is used to perform fluctuation calculation in real time according to the current market price and calculate the fixed cost of building materials. , the calculation formula is as follows: +HG; Calculating the break-even point for price fluctuations in the building materials market , the calculation formula is as follows: +C+H ; Calculate the target profit value Y3 under market price fluctuations. The calculation formula is as follows: +C+H , where C represents the preset marginal cost of materials, F represents the preset fixed cost of materials, G represents the fluctuation base, H represents the deduction price base ratio, Q represents the initial base price of building materials, E represents the target profit of building materials, and X represents the building materials corresponding to the market fluctuation price; The cost early warning unit is used to send a voice alarm to the reporting system if Y3 is greater than or equal to 0, indicating that market price fluctuations have an impact on the project cost. If Y3 is less than 0, it means that market price fluctuations have no impact on the project cost.
5. The system according to claim 1, characterized in that The engineering prediction end includes an environment detection module, a construction period judgment module and an engineering prediction module; The environment detection module includes an environment detection unit and a construction progress unit; The environmental detection unit is used to monitor the construction environmental parameters of the corresponding area in real time through the environmental monitoring equipment, and record them in real time through the data recorder; The construction progress unit is used to set corresponding construction engineering projects according to different engineering progress.
6. The system according to claim 5, characterized in that The construction period judgment module includes a standard environment unit and an impact judgment unit; The standard environment unit is used to set standard environment parameters for the construction project of the corresponding area and the corresponding construction period; The impact judgment unit is used to perform difference calculation between the environmental parameters corresponding to the current moment of the construction within the corresponding area and the standard environmental parameters, and to judge in real time whether the construction progress of the construction project is affected. The judgment method is as follows: The difference between the environmental parameters corresponding to the current moment of construction in the corresponding area and the standard environmental parameters is calculated. If the difference is less than or equal to 2 or greater than or equal to -2, it means that the construction progress of the construction project will not be affected. If the difference is greater than 2 or less than -2, it means that the construction progress of the construction project will be affected.
7. The system according to claim 6, characterized in that The engineering prediction module includes an engineering prediction unit and a cost early warning unit; The engineering prediction unit is used to predict in real time whether the shared cost is abnormal based on the weather forecast and the difference between the environmental parameters and the standard environmental parameters. The prediction method is as follows: One day is recorded as a cycle, and the judgment results of the difference calculation between the environmental parameters of five cycles and the standard environmental parameters are received through the data receiver, and the average value of the environmental parameters of the five cycles is calculated. If the judgment results of three cycles are all affecting the construction progress of the construction project, it means that the project cost is abnormal. If the judgment result of only one cycle is affecting the construction progress of the construction project, it means that the project cost is normal; The cost early warning unit is used to report abnormal project costs to the system to issue a voice alarm and provide feedback to the building management personnel for processing.
8. The system according to claim 1, characterized in that The prediction and compensation end includes an accident prevention module, an accident event module, an accident completion module and an engineering tracking module; The accident prevention module includes a safety publicity unit and a prevention awareness unit; The safety publicity unit is used to broadcast safety slogans for construction in real time through radio, and to publicize safety precautions in real time in combination with the project cost forecast results; The prevention awareness unit is used to inform construction personnel through real-time reminders of prevention awareness.
9. The system according to claim 8, characterized in that The accident module includes an accident unit, which is used to collect the corresponding area range in real time through a camera, set the dangerous area according to the construction work, and monitor in real time whether an accident occurs in the dangerous area; The accidental completion module includes an engineering substitute unit, which is used to report an accident alarm to the reporting system when an accident occurs in the corresponding area, and to execute an engineering substitute plan. The engineering substitute plan is executed through personnel scheduling and job completion at key construction locations.
10. The system according to claim 9, characterized in that The project tracking module includes a project tracking unit, and the project tracking unit includes a construction period comparison unit, a personnel comparison unit, a price comparison unit and a benefit comparison unit; The construction period comparison unit is used to calculate the difference between the construction period after the project cost is completed and the preset construction period through data comparison. If the difference result is less than or equal to 5, it means that the project cost is normal. If the difference result is greater than 5, it means that the project cost is abnormal, and the reporting system issues a voice alarm reminder; The personnel comparison unit is used to calculate the difference between the number of construction personnel after the project cost is completed and the preset number of construction personnel through data comparison. If the difference result is less than or equal to 2, it means that the project cost is normal. If the difference result is greater than 2, it means that the project cost is abnormal, and the reporting system issues a voice alarm reminder; The price comparison unit is used to calculate the difference between the construction cost after the project cost is completed and the preset construction cost through data comparison. If the difference result is less than or equal to 20,000, it means that the project cost is normal. If the difference result is greater than 20,000, it means that the project cost is abnormal, and the reporting system issues a voice alarm reminder; The benefit comparison unit is used to calculate the difference between the construction benefit after the project cost is completed and the preset construction benefit through data comparison. If the difference result is greater than 0, it means that the project cost is normal. If the difference result is less than 0, it means that the project cost is abnormal, and the reporting system will issue a voice alarm reminder.