Cost control method and system

Abstract

The invention is suitable for the technical field of cost control, and provides a cost control method and system, and the system comprises a data collection and integration module, a geological change detection module, a geological risk prediction module, and a cost influence evaluation module. According to the method, through real-time data acquisition, historical data integration and dynamic prediction, the scientificity and accuracy of construction cost management are remarkably improved. A weighted interpolation method is utilized to predict a geological parameter trend, a historical risk mode and real-time dynamic change are combined, a risk occurrence probability and a construction influence index are scientifically quantified, a high-risk area is determined through priority ranking, resource allocation is optimized, and therefore construction time and economic cost are effectively reduced. By dynamically optimizing the construction scheme and resource allocation, the method realizes the flexibility and high efficiency of the construction process, and avoids delay and waste caused by risk response lag in traditional construction.

Description

Technical Field

[0001] The present invention belongs to the technical field of cost control, and in particular relates to a cost control method and system. Background Art

[0002] The field of cost control technology is an important branch of engineering management. It mainly studies how to comprehensively and systematically monitor and control engineering costs through scientific management methods and technical means on the basis of ensuring engineering quality and construction safety, so as to achieve optimal resource allocation and maximize economic benefits. This field involves the cross-integration of multiple disciplines, including engineering technology, economics, information technology and data analysis. Its core goal is to ensure that the project is executed according to budget, reduce unnecessary expenses, and reduce construction losses caused by uncontrollable factors through effective management of cost composition and influencing factors during the construction process.

[0003] Traditional methods usually rely on manual detection or regular monitoring of the geological environment, which is not only inefficient, but also prone to delayed identification of geological changes due to limited detection frequency. When geological conditions change significantly, existing technologies are difficult to issue early warnings in a timely manner, which may result in the construction team being unable to take countermeasures quickly, thereby increasing the risk of accidents or economic losses. In addition, the probability of risk occurrence and the impact on construction are usually not quantified, making it difficult for the construction team to scientifically assess the severity of the risk, resulting in a lack of basis for resource allocation and decision-making processes.

[0004] Resource allocation and budget management are usually based on the initial planning of the project, lacking a real-time dynamic adjustment mechanism. When geological conditions change, construction budgets and resource allocation often fail to respond to changes in a timely manner, which may lead to problems such as waste of resources, high cost expenditures or budget overruns, affecting the overall economic benefits of the project. Once unexpected geological risks occur during the construction process, existing technologies lack the ability to quickly adjust the construction plan, which can easily lead to reduced construction efficiency and even serious delays in the construction period. Summary of the invention

[0005] The object of the present invention is to provide a cost control system, aiming to solve the technical problems existing in the prior art identified in the background technology.

[0006] The present invention is implemented in a cost control method, the method comprising: Collect and integrate geological survey data, real-time construction progress data, and historical project data; Collect and transmit geological environment data in real time and detect geological changes. If geological changes are identified, send warning feedback information and set change thresholds. Mark areas where the degree of geological changes exceeds the change threshold as geological risk areas. Combine historical geological data and real-time monitoring information to predict the trend of future geological environment changes and establish a geological risk prediction model. Based on the identified geological changes and the trend of future geological environment changes, the geological risk prediction model is used to identify the probability of risk occurrence and the construction impact index; Taking into account geological risk areas, risk probability and construction impact index, we calculate the additional construction costs, the impact of underground environmental changes on the project budget, and generate adjustment plans for construction plans, resource allocation and project budgets.

[0007] As a further solution of the present invention, the real-time collection and transmission of geological environment data and the detection of geological changes are carried out. If a geological change is identified, a warning feedback message is sent, and a change threshold is set to mark the area where the degree of geological change exceeds the change threshold as a geological risk area, specifically including: Set data sampling intervals and obtain construction geological environment parameters and construction data at corresponding intervals through on-site sensors; Based on historical geological data and real-time observation data, establish a baseline for normal changes in the geological environment, and calculate whether there are changes in real-time geological environment parameters and the magnitude of the changes; If a change in real-time geological environment parameters is detected, a warning feedback message is sent, and it is determined whether the change in the geological environment parameters exceeds the normal change baseline, and whether there is an abnormal change; Areas where changes exceeding the threshold are detected are marked as geological risk areas; A three-dimensional model of the construction project is established based on all the collected data, and the geological risk areas are highlighted in the three-dimensional model.

[0008] As a further solution of the present invention, the trend of future geological environment change is predicted, and a geological risk prediction model is established. Based on the identified geological changes and the trend of future geological environment change, the probability of risk occurrence and the construction impact index are identified through the geological risk prediction model, which specifically includes: Extract geological environment data and construction accident records from historical projects, combine them with geological risk areas, and predict future geological environment change trends; Establish a geological risk prediction model to identify potential geological problems in the future and associate them with construction risks; Prioritize the predicted potential risks according to the probability of risk occurrence and construction impact index, and determine the risks that require priority attention and treatment.

[0009] As a further solution of the present invention, the prediction of future geological environment change trends specifically includes: ; in, Indicates at location The predicted values ​​of geological parameters, Indicates monitored points The geological parameter values, is the weight coefficient, indicating The contribution of each monitoring point to the predicted value is is the number of monitoring points; As a further solution of the present invention, the comprehensive geological risk area, risk occurrence probability and construction impact index are used to calculate the additional construction cost, calculate the impact of underground environmental changes on the project budget, and generate adjustment plans for the construction plan, resource allocation and project budget, specifically including: Read the calculated spatial scope, nature and risk level of the high-risk area, as well as the risk probability and impact index of each geological problem, and calculate the additional construction cost caused by changes in the underground environment; Based on the calculation results of the additional construction costs and combined with the total project planning costs, the project budget is dynamically adjusted and the budget is reallocated according to the priority of the geological risk areas; Reconfigure construction plans and resources based on risk assessment and budget adjustment results.

[0010] As a further solution of the present invention, the geological risk prediction model is established to identify potential geological problems in the future and associate them with construction risks, specifically including: Identification of geological problems: ; in, For the The probability of a risk occurring, is the weight of each influencing factor, indicating the degree of influence on the occurrence of risk. are characteristic parameters of different geological risks, is the bias term; Construction risk association: ; ; ; in, is the construction impact index, is the impact range of the risk event, indicating the spatial range of the impact of the geological problem. For risk events The direct cost represents the direct economic loss caused by geological problems. It is the construction delay time, indicating the construction delay that may be caused by the risk event. is the weight coefficient, Indicates The number of direct costs, Indicates The unit price of the direct cost item, Represents the actual measured area of ​​the geological risk area, is the risk level adjustment factor.

[0011] As a further solution of the present invention, the calculation of the additional construction cost caused by the change of the underground environment specifically includes: Calculate the direct costs of additional construction : ; in, For the The probability of a risk occurring, For risk events direct costs; Calculate the indirect costs of additional construction : ; in, Indicates The delay time caused by the risk represents the daily loss rate due to construction delay, Indicates The amount of resources wasted due to a risk, is the loss rate of unit resource waste; Calculate the total additional cost of additional construction : .

[0012] Another object of the present invention is to provide a cost control system, the system comprising: Data collection and integration module, used to collect and integrate geological exploration data, real-time construction progress data and historical project data; The geological change detection module is used to collect and transmit geological environment data in real time and perform geological change detection. If a geological change is identified, a warning feedback message is sent and a change threshold is set. The area where the degree of geological change exceeds the change threshold is marked as a geological risk area. The geological risk prediction module is used to combine historical geological data and real-time monitoring information to predict the trend of future geological environment changes and establish a geological risk prediction model. Based on the identified geological changes and the trend of future geological environment changes, the geological risk prediction model is used to identify the probability of risk occurrence and the construction impact index; The cost impact assessment module is used to comprehensively consider geological risk areas, risk occurrence probability and construction impact index, calculate the additional construction costs, calculate the impact of underground environmental changes on the project budget, and generate adjustment plans for construction plans, resource allocation and project budgets.

[0013] The beneficial effect of the present invention is that the method significantly improves the scientificity and accuracy of construction cost management through real-time data collection, historical data integration and dynamic prediction. In real-time geological change detection, the system collects geological parameters through high-precision sensors, combines historical project data to establish a normal change baseline, accurately identifies abnormal changes and marks geological risk areas, and intuitively presents them through GIS and three-dimensional models, providing construction teams with efficient risk warning and management tools.

[0014] By constructing a geological risk prediction model, this method uses weighted interpolation to predict geological parameter trends, combines historical risk patterns with real-time dynamic changes, scientifically quantifies the probability of risk occurrence and the construction impact index, and identifies high-risk areas through priority sorting, optimizes resource allocation, and effectively reduces construction time and economic costs. At the same time, this method calculates the direct and indirect construction costs caused by underground environmental changes, combines dynamic budget adjustments, and prioritizes the allocation of resources in high-risk areas to ensure a balance between construction safety and economic benefits.

[0015] In addition, by dynamically optimizing construction plans and resource allocation, this method achieves flexibility and efficiency in the construction process, avoiding delays and waste caused by delayed risk response in traditional construction. Overall, this method transforms the traditional passive risk response model and provides an intelligent, economical and efficient construction cost control solution under complex geological conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A structural block diagram of a cost control system provided by an embodiment of the present invention; Figure 2 A flow chart of a cost control method provided by an embodiment of the present invention; Figure 3 A flow chart for performing geological change detection provided by an embodiment of the present invention; Figure 4 A flow chart for predicting the trend of future geological environment changes provided by an embodiment of the present invention; Figure 5 A flow chart for calculating the impact of underground environmental changes on a project budget provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] Figure 1 A structural block diagram of a cost control system provided by an embodiment of the present invention, such as Figure 1 As shown, the system comprises: The data collection and integration module 100 is used to collect and integrate geological exploration data, real-time construction progress data, and historical project data; The geological change detection module 200 is used to collect and transmit geological environment data in real time and perform geological change detection. If a geological change is identified, a warning feedback message is sent, and a change threshold is set to mark the area where the degree of geological change exceeds the change threshold as a geological risk area; The geological risk prediction module 300 is used to combine historical geological data and real-time monitoring information to predict the trend of future geological environment changes, establish a geological risk prediction model, and identify the probability of risk occurrence and the construction impact index through the geological risk prediction model based on the identified geological changes and the trend of future geological environment changes; The cost impact assessment module 400 is used to comprehensively consider geological risk areas, risk occurrence probability and construction impact index, calculate additional construction costs, calculate the impact of underground environmental changes on the project budget, and generate adjustment plans for construction plans, resource allocation and project budgets.

[0019] Figure 2 A flow chart of a cost control method provided by an embodiment of the present invention is as follows: Figure 2 As shown, the method includes: S100, collects and integrates geological survey data, real-time construction progress data, and historical project data; S200, real-time collection and transmission of geological environment data, and geological change detection. If geological changes are identified, warning feedback information is sent, and a change threshold is set to mark the area where the degree of geological change exceeds the change threshold as a geological risk area; This step sets the data sampling interval to ensure real-time acquisition of construction geological environment parameters and construction data. These data are collected through high-precision sensors arranged on site to reflect the geological characteristics and dynamic changes of the construction site. The layout of sensors is based on the complexity of the engineering characteristics and geological environment, and can accurately capture the geological parameters in the area, such as soil moisture, rock pressure, groundwater level, etc. These data are then transmitted to the system and combined with historical geological data to establish a normal change baseline for the geological environment, quantify the normal range of each parameter in the geological environment, and provide a scientific basis for the subsequent comparison of real-time data changes.

[0020] When a change in real-time geological environment parameters is detected, a warning feedback message is first sent to convey this dynamic change to the construction manager, ensuring that the engineering team can know the changes in geological conditions in real time. If the magnitude of the change is determined to exceed the normal change baseline, that is, an abnormal change is identified, the system will further mark the abnormal location of the geological condition as a geological risk area. This marking process is based on the geographic information system (GIS) and intelligent algorithms, which can accurately locate the abnormal area and store the relevant information in the engineering database. This precise marking can not only remind the construction team to focus on specific areas, but also lay the foundation for subsequent risk analysis and cost adjustments.

[0021] In addition, this step also builds a 3D model of the construction project with all the collected data, and highlights the geological risk areas in the model. The 3D model can fully present the topography, landforms and geological conditions of the construction site, providing an intuitive visualization tool for construction planning and risk assessment. By highlighting the geological risk areas, the construction team can quickly identify potential problem areas and develop more accurate construction plans and emergency plans. The dynamic update of the 3D model also ensures that construction managers can grasp the latest geological risk information in real time, making risk assessment more timely.

[0022] like Figure 3 As shown, the real-time collection and transmission of geological environment data and geological change detection are performed. If geological changes are identified, warning feedback information is sent, and a change threshold is set to mark the area where the degree of geological change exceeds the change threshold as a geological risk area, specifically including: S210, setting a data sampling interval, and obtaining construction geological environment parameters and construction data at corresponding intervals through on-site sensors; S220, based on historical geological data and real-time observation data, establish a normal change baseline of the geological environment, and calculate whether there is a change in the real-time geological environment parameters and the magnitude of the change; S230, if a change in the real-time geological environment parameter is detected, a warning feedback message is sent, and it is determined whether the change range of the geological environment parameter exceeds the normal change baseline, and whether there is an abnormal change; S240, marking the area where the change amplitude exceeds the threshold as a geological risk area; S250, establishing a three-dimensional model of the construction project based on all the collected data, and highlighting the geological risk area in the three-dimensional model.

[0023] S300, combining historical geological data and real-time monitoring information, predicts the trend of future geological environment changes and establishes a geological risk prediction model. Based on the identified geological changes and the trend of future geological environment changes, the geological risk prediction model identifies the probability of risk occurrence and the construction impact index; In this step, we first extract the geological environment data recorded in historical projects (such as groundwater level changes, soil density, rock stability, etc.) and construction accident information related to geology (such as foundation settlement, rock collapse, etc.), and conduct a comprehensive analysis in combination with the current real-time geological parameters. Through this integrated analysis, the system can more comprehensively understand the characteristics of the current construction environment and conduct in-depth exploration of potential risks.

[0024] In the prediction stage, the weighted interpolation method is used to predict the spatial distribution of geological parameters, which can integrate the geological data of multiple monitoring points into the prediction results of the target area, so as to accurately grasp the geological change trends that may occur in the future. At the same time, a geological risk prediction model is established to correlate the spatiotemporal changes of geological parameters with construction risks. The model identifies the geological problems that may be faced in the future during the construction process by integrating the risk patterns in historical data with the dynamic changes of real-time data, and prioritizes them based on their risk probability and construction impact index, so as to clarify the risks that need to be paid attention to and handled first.

[0025] In the process of risk sorting, the predicted potential risks are quantified and classified according to the probability of risk occurrence (such as the possibility of foundation slippage) and the construction impact index (such as the potential impact of the risk on construction delays or budget increases). For example, for risks with a high probability of occurrence and a high construction impact index, the system will automatically mark them as "high priority" to remind the construction team to take emergency measures; while for risks with a low probability of occurrence or a low construction impact index, they will be classified as "secondary priority" as the focus of subsequent monitoring. The entire process is supported by big data analysis and intelligent algorithms, which improves the accuracy and efficiency of risk management.

[0026] This step achieves comprehensive coverage and dynamic updating of geological environment information by integrating historical geological data, construction accident records and real-time monitoring information. Compared with the traditional method of relying on data from a single source, this integrated analysis can more comprehensively reflect the complexity of the geological environment and provide more reliable basic data for risk prediction.

[0027] By combining the probability of risk occurrence and the construction impact index, the system can quantitatively classify risks of different natures and clarify the focus of the construction team. This scientific risk ranking method not only improves the efficiency of construction management, but also helps the team optimize resource allocation, invest limited time and resources in the most important risk treatment, and significantly reduce the time and economic costs of construction. At the same time, priority management also provides clear guidance for the construction team's emergency decision-making, reducing delays and losses caused by misjudgment or information lag in the traditional construction process.

[0028] Different from the traditional passive risk response, this step enables the construction team to take preventive measures in advance before the risk occurs by collecting and predicting the future geological change trend in real time, thereby effectively controlling the impact of the risk on the project cost and construction period. This forward-looking ability provides an important guarantee for the cost control of the entire construction project, and also improves the safety and controllability of the construction process.

[0029] like Figure 4 As shown, the prediction of the trend of future geological environment changes and the establishment of a geological risk prediction model are based on the identified geological changes and the trend of future geological environment changes. The geological risk prediction model is used to identify the probability of risk occurrence and the construction impact index, which specifically includes: S310, extracting geological environment data and construction accident records from historical projects, combining them with geological risk areas, and predicting future geological environment change trends; S320, establish a geological risk prediction model to identify potential geological problems in the future and associate them with construction risks; S330, prioritize the predicted potential risks according to the probability of risk occurrence and construction impact index, and determine the risks that need priority attention and treatment.

[0030] In this step, the prediction of future geological environment change trends specifically includes: ; in, Indicates at location The predicted values ​​of geological parameters, Indicates monitored points The geological parameter values, is the weight coefficient, indicating The contribution of each monitoring point to the predicted value is is the number of monitoring points; This formula uses weighted interpolation to combine the geological parameter values ​​(such as groundwater level, rock formation pressure, etc.) of multiple monitoring points according to weights to predict the geological parameter values ​​of the target location. It reflects the contribution of different monitoring points to the prediction points (such as distance or data reliability). It realizes dynamic prediction of geological parameters in unmonitored areas, helping construction teams to understand potential geological change trends in advance. Through the integration of spatial data, the accuracy of geological prediction is improved, avoiding the problem of traditional uniform interpolation method ignoring local features. Combining real-time monitoring data with historical patterns, dynamically adjusting weights makes the prediction results more scientific and applicable to complex geological conditions.

[0031] S400, taking into account geological risk areas, risk occurrence probability and construction impact index, calculates additional construction costs, calculates the impact of underground environmental changes on project budgets, and generates adjustment plans for construction plans, resource allocation and project budgets.

[0032] This step combines the high-risk area range, geological problem nature and risk level extracted in the early stage to comprehensively predict the probability of geological risks and quantify their specific impact on construction. First, the risk probability of each geological problem is calculated. Through the main factors affecting geological risks (such as groundwater level changes, rock stability, historical fluctuations in geological conditions, etc.), the possibility of each geological problem under complex geological conditions can be scientifically quantified, laying a solid foundation for subsequent construction risk analysis.

[0033] Subsequently, based on the output of the geological risk prediction model, the relationship between geological problems and construction risks is deeply analyzed, and the impact index of construction risks is calculated. This can clarify the potential impact of different risk events on construction and provide quantitative support for subsequent cost evaluation.

[0034] Finally, the additional construction costs caused by changes in the underground environment are further calculated to comprehensively evaluate the direct and indirect economic losses caused by geological problems to the construction, and thus the total amount of additional construction costs is obtained.

[0035] Based on the calculation results of the additional construction costs, combined with the project planning costs, the budget is dynamically adjusted, and budget resources are reallocated according to the priority of the geological risk areas. For example, for high-risk areas, the system will prioritize the allocation of more budget and resources to deal with possible construction risks; for low-risk areas, the budget will be appropriately reduced to ensure the rationality of overall cost control. At the same time, according to the budget adjustment results, the system optimizes the construction plan and resource allocation to ensure that the entire project meets safety standards while achieving higher economic benefits.

[0036] This step quantifies potential problems under complex geological conditions into risk probability, avoiding the subjectivity and uncertainty of traditional reliance on experience. At the same time, it further improves the scientificity and reliability of the prediction, especially under the influence of multiple factors, and can simultaneously consider multiple geological characteristics such as groundwater level and soil pressure, as well as their combined effects on construction risks. This multi-dimensional analysis method significantly improves the accuracy of the prediction results and provides accurate risk warnings for the construction team.

[0037] Secondly, the calculation of the construction risk impact index and additional construction costs provides quantitative indicators, allowing the construction team to clearly understand the specific impact of each risk event on the construction period, budget and resources. In particular, the distinction between direct and indirect costs allows the system to fully reveal the multi-faceted impact of geological problems on the construction process. For example, by calculating the indirect economic losses caused by resource waste and construction delays caused by geological problems, the system can help the construction team more comprehensively assess the potential impact of geological risks, thereby formulating more comprehensive response measures in the planning stage.

[0038] In addition, dynamic budget adjustment and construction plan optimization are another major advantage of this step. Traditional construction cost control is often static, lacks real-time adjustment capabilities, and is difficult to respond to dynamic changes in the geological environment in a timely manner. This step calculates the additional costs caused by geological changes in real time, reasonably allocates budget resources according to risk priorities, and dynamically optimizes construction plans and resource allocation, which not only improves the project's ability to adapt to complex geological conditions, but also significantly improves the overall economic benefits. Especially in the priority resource allocation in high-risk areas, this method avoids resource waste while ensuring construction safety and stable and controllable progress.

[0039] like Figure 5 As shown, the comprehensive geological risk area, risk probability and construction impact index are used to calculate the additional construction cost, calculate the impact of underground environmental changes on the project budget, and generate adjustment plans for the construction plan, resource allocation and project budget, including: S410, reading the calculated spatial scope, nature and risk level of the high-risk area, as well as the risk probability and impact index of each geological problem, and calculating the additional construction cost caused by the change of the underground environment; S420, based on the calculation results of the additional construction cost and combined with the total project planning cost, dynamically adjust the project budget and reallocate the budget according to the priority of the geological risk areas; S430, reconfigure construction plans and resources based on risk assessment and budget adjustment results.

[0040] In this step, the geological risk prediction model is established to identify potential geological problems in the future and associate them with construction risks, including: Identification of geological problems: ; in, For the The probability of a risk occurring, is the weight of each influencing factor, indicating the degree of influence on the occurrence of risk. are characteristic parameters of different geological risks, is the bias term; This formula is a logistic regression model used to calculate the The probability of occurrence of a geological risk (such as foundation settlement).

[0041] The risk probability is quantified through a linear combination of multiple factors (such as groundwater level changes, rock stability), combined with weights and bias terms.

[0042] Convert subjective experience judgments into objective probability values ​​to help construction teams scientifically assess the severity of risks. Dynamically update model parameters (such as through real-time data training) to adapt to the geological characteristics of different projects and improve prediction accuracy.

[0043] Construction risk association: ; ; ; in, is the construction impact index, is the impact range of the risk event, indicating the spatial range of the impact of the geological problem. For risk events The direct cost represents the direct economic loss caused by geological problems. It is the construction delay time, indicating the construction delay that may be caused by the risk event. is the weight coefficient, Indicates The number of direct costs, Indicates The unit price of the direct cost item, Represents the actual measured area of ​​the geological risk area, is the risk level adjustment factor.

[0044] The scope of geological risk, direct costs and construction delays are combined into a construction impact index, with the weight reflecting the importance of each factor.

[0045] Quantify the multi-dimensional impact of risks on construction, and provide a priority basis for resource allocation and emergency plans. Flexible management can be achieved by dynamically adjusting weights (for example, paying more attention to cost in the early stage of the project and paying more attention to construction period in the later stage).

[0046] In this step, the calculation of the additional construction cost caused by the change of underground environment specifically includes: Calculate the direct costs of additional construction : ; in, For the The probability of a risk occurring, For risk events direct costs; Multiply the direct cost of each risk event (such as reinforcement material costs) by its probability of occurrence and add them up to get the expected direct cost. Quantify the direct economic losses caused by geological risks and provide data support for budget adjustments.

[0047] This formula introduces probability weights to better fit the actual risk distribution. Dynamically update probability and cost data to improve the rationality of budget planning.

[0048] Calculate the indirect costs of additional construction : ; in, Indicates The delay time caused by the risk represents the daily loss rate due to construction delay, Indicates The amount of resources wasted due to a risk, is the loss rate of unit resource waste; This formula can quantify indirect costs, including project delay losses and resource waste losses, and calculate the total by combining probability. It can comprehensively evaluate the hidden impact of risks on project progress and resource utilization, avoiding the limitation of traditional methods that only focus on direct costs.

[0049] This formula dynamically reflects the potential losses of delays and waste through probability weighting, helping the team to reserve emergency resources in advance and reduce the impact of sudden risks on the overall project.

[0050] Calculate the total additional cost of additional construction : .

[0051] By integrating direct and indirect costs, we can obtain the total additional costs caused by geological risks, providing a comprehensive basis for the dynamic adjustment of project budgets (such as resource allocation to high-risk areas).

[0052] Combined with real-time risk assessment, dynamic optimization is achieved. By prioritizing (such as high-risk areas first), resource utilization efficiency is maximized and waste is reduced.

[0053] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0054] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0055] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0056] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A cost control method, characterized in that: The method comprises: Collect and integrate geological survey data, real-time construction progress data, and historical project data; Collect and transmit geological environment data in real time and detect geological changes. If geological changes are identified, send warning feedback information and set change thresholds. Mark areas where the degree of geological changes exceeds the change threshold as geological risk areas. Combine historical geological data and real-time monitoring information to predict the trend of future geological environment changes and establish a geological risk prediction model. Based on the identified geological changes and the trend of future geological environment changes, the geological risk prediction model is used to identify the probability of risk occurrence and the construction impact index; Taking into account geological risk areas, risk probability and construction impact index, we calculate the additional construction costs, the impact of underground environmental changes on the project budget, and generate adjustment plans for construction plans, resource allocation and project budgets.

2. The method according to claim 1, characterized in that The real-time collection and transmission of geological environment data and geological change detection are carried out. If geological changes are identified, warning feedback information is sent, and a change threshold is set to mark the area where the degree of geological change exceeds the change threshold as a geological risk area, specifically including: Set data sampling intervals and obtain construction geological environment parameters and construction data at corresponding intervals through on-site sensors; Based on historical geological data and real-time observation data, establish a baseline for normal changes in the geological environment, and calculate whether there are changes in real-time geological environment parameters and the magnitude of the changes; If a change in real-time geological environment parameters is detected, a warning feedback message is sent, and it is determined whether the change in the geological environment parameters exceeds the normal change baseline, and whether there is an abnormal change; Areas where changes exceeding the threshold are detected are marked as geological risk areas; A three-dimensional model of the construction project is established based on all the collected data, and the geological risk areas are highlighted in the three-dimensional model.

3. The method according to claim 2, characterized in that The prediction of the trend of future geological environment changes and the establishment of a geological risk prediction model are based on the identified geological changes and the trend of future geological environment changes. The geological risk prediction model is used to identify the probability of risk occurrence and the construction impact index, which specifically includes: Extract geological environment data and construction accident records from historical projects, combine them with geological risk areas, and predict future geological environment change trends; Establish a geological risk prediction model, combine historical geological data, real-time observation data and construction accident records through the geological risk prediction model, build a dynamically updated database, integrate real-time monitoring data with historical geological data through dynamic weight allocation, identify potential geological problems in the future, and quantify them into risk occurrence probability and construction impact index; Prioritize the predicted potential risks according to the probability of risk occurrence and construction impact index, and determine the risks that require priority attention and treatment.

4. The method according to claim 3, characterized in that The above comprehensive geological risk areas, risk probability and construction impact index are used to calculate the additional construction costs, the impact of underground environmental changes on the project budget, and to generate adjustment plans for the construction plan, resource allocation and project budget, including: Read the calculated spatial scope, nature and risk level of the high-risk area, as well as the risk probability and impact index of each geological problem, and calculate the additional construction cost caused by changes in the underground environment; Based on the calculation results of the additional construction costs and combined with the total project planning costs, the project budget is dynamically adjusted and the budget is reallocated according to the priority of the geological risk areas; Reconfigure construction plans and resources based on risk assessment and budget adjustment results.

5. A cost control system, characterized in that: The system comprises: Data collection and integration module, used to collect and integrate geological exploration data, real-time construction progress data and historical project data; The geological change detection module is used to collect and transmit geological environment data in real time and perform geological change detection. If a geological change is identified, a warning feedback message is sent and a change threshold is set. The area where the degree of geological change exceeds the change threshold is marked as a geological risk area. The geological risk prediction module is used to combine historical geological data and real-time monitoring information to predict the trend of future geological environment changes and establish a geological risk prediction model. Based on the identified geological changes and the trend of future geological environment changes, the geological risk prediction model is used to identify the probability of risk occurrence and the construction impact index; The cost impact assessment module is used to comprehensively consider geological risk areas, risk occurrence probability and construction impact index, calculate the additional construction costs, calculate the impact of underground environmental changes on the project budget, and generate adjustment plans for construction plans, resource allocation and project budgets.

6. The system according to claim 5, characterized in that The geological change detection module specifically includes: The geological environment parameter sampling unit is used to set the data sampling interval and obtain the construction geological environment parameters and construction data at the corresponding interval time through the on-site sensors; The baseline establishment and real-time parameter calculation unit is used to establish the normal change baseline of the geological environment based on historical geological data and real-time observation data, and calculate whether there is a change in the real-time geological environment parameters and the magnitude of the change; A real-time change detection and warning feedback unit is used to send warning feedback information if a change in the real-time geological environment parameters is detected, and to determine whether the change range of the geological environment parameters exceeds the normal change baseline and identify whether there is an abnormal change; A geological risk area identification unit is used to mark the area where the change amplitude exceeds the threshold as a geological risk area; The three-dimensional model building unit is used to build a three-dimensional model of the construction project based on all the collected data, and highlight the geological risk area in the three-dimensional model.

7. The system according to claim 6, characterized in that The geological risk prediction module specifically includes: The geological environment change trend prediction unit is used to extract geological environment data and construction accident records from historical projects, and predict future geological environment change trends in combination with geological risk areas; The geological risk prediction model establishment unit is used to establish a geological risk prediction model. Through the geological risk prediction model, historical geological data, real-time observation data and construction accident records are combined to build a dynamically updated database. Real-time monitoring data and historical geological data are integrated through dynamic weight allocation to identify potential geological problems in the future and quantify them into risk occurrence probability and construction impact index; The potential risk prioritization unit is used to prioritize the predicted potential risks according to the probability of risk occurrence and the construction impact index, and determine the risks that need priority attention and treatment.

8. The system according to claim 7, characterized in that The cost impact assessment module specifically includes: The additional construction cost calculation unit is used to read the calculated spatial scope, nature and risk level of the high-risk area, as well as the risk probability and impact index of each geological problem, and calculate the additional construction cost caused by the change of the underground environment; The project budget dynamic adjustment unit is used to dynamically adjust the project budget based on the calculation results of the additional construction cost and the total project planning cost, and to reallocate the budget according to the priority of the geological risk areas; The plan and resource reconfiguration unit is used to reconfigure construction plans and resources based on risk assessment and budget adjustment results.

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