Differential analysis method, system, device and storage medium for general cost plan

Abstract

The application provides a general cost scheme difference analysis method, system, device and storage medium, relates to the engineering cost technical field, and the method comprises the following steps: obtaining historical cost data and market price data of each construction item in a target construction scheme of an engineering project, combining the historical cost data and the market price data, generating a cost fluctuation coefficient of each construction item within a preset time length; according to the cost fluctuation coefficient, adjusting the initial engineering cost of each construction item to generate a first engineering cost; according to the correlation degree of each construction item, generating an adjustment coefficient of each construction item; according to the adjustment coefficient, adjusting the first engineering cost of each construction item to generate a second engineering cost of each construction item within the preset time length; adding the second engineering cost of each construction item to generate the total engineering cost of the target construction scheme; when the total engineering cost exceeds a preset cost, generating a warning information. The application has the technical effect that the engineering cost is accurately predicted.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of engineering cost, in particular to a difference analysis method, system and device of a general cost scheme and a storage medium. BACKGROUND

[0002] With the continuous advancement of urbanization, building engineering projects are increasing. In order to improve the economic benefits of engineering projects, it is necessary to reasonably control the engineering cost.

[0003] In the prior art, the fixed price method is generally used to predict the engineering cost. According to the engineering quantity list, the corresponding fixed unit price is used to calculate the cost of each construction item, and then the total cost of the project is obtained by summarizing. However, the fixed unit price is usually formulated according to historical data, and cannot dynamically adapt to changes in market environment. In the case of frequent market price fluctuations, the engineering cost calculated by using the fixed unit price often has a large deviation from the actual cost, which leads to inaccurate prediction of the engineering cost. SUMMARY

[0004] The present application provides a difference analysis method, system, device and storage medium of a general cost scheme, which is used to accurately predict the engineering cost.

[0005] In the first aspect, the present application provides a difference analysis method of a general cost scheme, which comprises: obtaining the initial engineering cost of each construction item in the target construction scheme of the engineering project; obtaining the historical cost data and market price data of each construction item, combining the historical cost data and the market price data to generate the cost fluctuation coefficient of each construction item within a preset time period; adjusting the initial engineering cost of each construction item according to the cost fluctuation coefficient to generate the first engineering cost of each construction item within the preset time period; obtaining the correlation degree of each construction item, and generating the adjustment coefficient of each construction item according to the correlation degree; adjusting the first engineering cost of each construction item according to the adjustment coefficient to generate the second engineering cost of each construction item within the preset time period; adding the second engineering cost of each construction item to generate the total cost of the target construction scheme; and generating a warning information when the total cost exceeds a preset cost.

[0006] By adopting the technical scheme, the precise evaluation and dynamic monitoring of the engineering cost are realized through the double adjustment mechanism of the cost fluctuation coefficient and the adjustment coefficient. The cost fluctuation coefficient is generated based on the historical cost data and the market price data, which can accurately reflect the price change trend of each construction item within a preset time length. Then, the correlation degree between the construction items is calculated and converted into the adjustment coefficient, which effectively quantifies the mutual influence degree between the construction items. This double adjustment mechanism considering market fluctuation and correlation influence makes the second engineering cost more truly reflect the cost change in the construction process. Meanwhile, by setting an early warning mechanism, when the total engineering cost exceeds the preset cost, early warning information is generated in time, which provides timely risk prompt for the project management personnel and helps to take effective cost control measures, so as to realize the accurate prediction of the engineering cost.

[0007] Optionally, the historical cost change trend of each construction item is determined according to the historical cost data, the market cost change trend of each construction item is predicted according to the market price data based on the historical cost change trend of each construction item, and the cost fluctuation coefficient of each construction item within a preset time length is generated according to the change amplitude of the market cost change trend, wherein the cost fluctuation coefficient increases with the rise of the market cost change trend.

[0008] By adopting the technical scheme, the historical change law of the construction item is analyzed through the historical cost data, and the future cost trend is predicted by combining the current market price data, thereby establishing a cost trend analysis chain from history to future. The change amplitude of the market cost change trend is mapped to the cost fluctuation coefficient, and the corresponding relationship that the cost fluctuation coefficient increases with the rise of the market cost change trend is set, thereby realizing the quantitative expression of the cost fluctuation. This double analysis mechanism based on historical data and market data can not only accurately grasp the price change law of the construction item, but also timely reflect the influence brought by the market price fluctuation, so that the cost fluctuation coefficient is more predictive and practical, thereby providing a scientific basis for subsequent cost adjustment.

[0009] Optionally, the correlation degree of each construction item is obtained by obtaining the construction procedure information of each construction item, determining the construction sequence dependency relationship between each construction item according to the construction procedure information of each construction item, calculating the procedure overlap degree between any two construction items according to the construction sequence dependency relationship, determining the resource sharing degree between each construction item according to the procedure overlap degree, and determining the correlation degree of each construction item according to the resource sharing degree between each construction item.

[0010] By adopting the technical scheme, the order dependency relationship between construction items is established by analyzing construction procedure information, and the resource sharing between construction items is quantified based on procedure overlap, and finally the correlation degree reflecting the mutual influence degree of construction items is generated, and a progressive analysis system from construction procedure to resource sharing to correlation degree is constructed. The correlation degree calculation method based on the actual characteristics of the construction process can accurately identify and quantify the mutual influence relationship between construction items, and avoid the deviation caused by simple experience estimation. By including the actual construction factors such as construction sequence, procedure intersection and resource sharing into the correlation degree calculation category, the determination of the correlation degree is more objective and reasonable, and more reliable data support is provided for subsequent cost adjustment.

[0011] Optionally, the procedure overlap degree between any two of the construction items is calculated according to the construction sequence dependency relationship, including: determining the time interval of the construction procedure of any two of the construction items; calculating the overlap length of the construction procedure time interval of any two of the construction items; taking the construction procedure duration of the construction item with the minimum construction procedure duration among any two of the construction items as a reference duration; calculating the proportion of the overlap length to the reference duration to obtain the procedure overlap degree between any two of the construction items, wherein the procedure overlap degree increases with the increase of the proportion of the overlap length to the reference duration.

[0012] By adopting the technical scheme, the procedure overlap degree is quantified by analyzing the time interval characteristics of the construction items, the procedure overlap degree is determined by calculating the proportional relationship between the overlap length and the reference duration, and the corresponding relationship that the overlap degree increases with the increase of the proportion is set. The construction item with smaller duration is selected as the reference to avoid the calculation deviation caused by the large difference in construction duration. The calculation method based on the time dimension makes the determination of the procedure overlap degree more consistent with the actual construction situation, and can accurately reflect the actual situation of procedure intersection in the construction process, and provides a reliable basis for evaluating the resource sharing degree between construction items.

[0013] Optionally, the adjustment coefficient of each construction item is generated according to the correlation degree, including: constructing a correlation matrix according to the correlation degree, wherein the element value between any two construction items in the correlation matrix is the correlation degree of the two construction items; based on the correlation matrix, calculating the sum of the correlation degrees of each construction item and all other construction items to generate the correlation degree cumulative value of each construction item; and normalizing the correlation degree cumulative value of each construction item to obtain the adjustment coefficient of each construction item.

[0014] By adopting the technical scheme, the correlation between the construction items is systematically expressed by constructing the correlation matrix, the correlation cumulative value is obtained by calculating the sum of the correlation degrees of each construction item and other construction items, and then the adjustment coefficient is generated by normalization processing. This processing mode not only considers the direct correlation between the construction items, but also reflects the comprehensive correlation degree of the construction items in the entire project through the calculation of the cumulative value. The normalization processing makes the adjustment coefficient have good comparability, which is convenient for intuitively reflecting the relative degree of influence of each construction item by correlation in subsequent cost adjustment, thereby providing a more accurate reference basis for cost adjustment.

[0015] Optionally, when the total cost of the project exceeds the preset cost, the warning information is generated, including: calculating the exceeding amount of the total cost of the project exceeding the preset cost; determining a warning level according to the proportion of the exceeding amount in the preset cost; obtaining the cost proportion of the second engineering cost of each construction item in the total cost of the project; sorting each construction item in descending order according to the cost proportion of each construction item; and generating warning information including the warning level, the exceeding amount, and the sorted construction item information.

[0016] By adopting the technical scheme, the cost overrun risk is managed by calculating the exceeding amount and setting the warning level. At the same time, by calculating the cost proportion of each construction item and sorting in descending order, the contribution degree of each construction item to the total cost is clearly displayed. This warning mechanism including the warning level, the exceeding amount and the construction item sorting information can not only intuitively reflect the severity of cost overrun, but also quickly identify key construction items with high cost proportion, which helps project managers to pay attention to and control key construction items first, and provides clear direction for formulating targeted cost control measures.

[0017] Optionally, after the warning information is generated when the total cost of the project exceeds the preset cost, the method further includes: obtaining alternative construction schemes of each construction item; calculating the second engineering cost of each alternative construction scheme; generating a cost optimization suggestion according to the second engineering cost of each alternative construction scheme; and adding the cost optimization suggestion to the warning information.

[0018] By adopting the technical scheme, the second engineering cost of the alternative construction scheme is obtained and analyzed to provide a specific and feasible optimization path for cost control. By adding the cost optimization suggestion to the warning information, a complete closed loop from problem discovery to solution is formed, so that the warning information not only has a prompt effect, but also has a guiding significance. This combination of warning and optimization provides more comprehensive decision support for project managers, which helps to take effective cost control measures in time and improves the practicality and operability of cost management.

[0019] In a second aspect, the application provides a system for analyzing differences in a general cost plan, comprising: an acquisition module, a first generation module, an adjustment module, a second generation module, a third generation module, and an output module; the acquisition module is configured to acquire initial project costs of each construction item in a target construction plan of a project; the first generation module is configured to acquire historical cost data and market price data of each construction item, and generate cost fluctuation coefficients of each construction item within a preset time period based on the historical cost data and the market price data; the adjustment module is configured to adjust the initial project costs of each construction item based on the cost fluctuation coefficients, and generate first project costs of each construction item within the preset time period; the second generation module is configured to acquire correlation degrees of each construction item, and generate adjustment coefficients of each construction item based on the correlation degrees; the third generation module is configured to adjust the first project costs of each construction item based on the adjustment coefficients, and generate second project costs of each construction item within the preset time period; and the output module is configured to add the second project costs of each construction item to generate a total project cost of the target construction plan, and generate a warning information when the total project cost exceeds a preset cost.

[0020] In a third aspect, the application provides an electronic device, which adopts the following technical solution: comprising a processor, a memory, a user interface, and a network interface; the memory is configured to store instructions; the user interface and the network interface are configured to communicate with other devices; and the processor is configured to execute the instructions stored in the memory, so that the electronic device executes a computer program of any of the above-mentioned methods for analyzing differences in a general cost plan.

[0021] In a fourth aspect, the application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program capable of being loaded and executed by a processor to execute any of the above-mentioned methods for analyzing differences in a general cost plan.

[0022] In summary, the application has at least one of the following beneficial technical effects:

[0023] 1. By introducing a double adjustment mechanism of cost fluctuation coefficient and adjustment coefficient, accurate evaluation and dynamic monitoring of engineering cost are realized. The method first generates cost fluctuation coefficient based on historical cost data and market price data, which can accurately reflect the price change trend of each construction item within a preset time length; secondly, the correlation between construction items is calculated and converted into adjustment coefficient, which effectively quantifies the degree of mutual influence between construction items. This double adjustment mechanism considering market fluctuations and correlation influences makes the second engineering cost more truly reflect the cost changes in the construction process. At the same time, by setting an early warning mechanism, when the total cost of the project exceeds the preset cost, an early warning information is generated in time, which provides timely risk prompt for project managers, helps to take effective cost control measures, and thus realizes accurate prediction of engineering cost. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is a flowchart of a difference analysis method of a general cost scheme provided by an embodiment of the present application;

[0025] Figure 2 is a structural schematic diagram of a difference analysis system of a general cost scheme provided by an embodiment of the present application;

[0026] Figure 3 is a structural schematic diagram of an electronic device provided by an embodiment of the present application.

[0027] BRIEF DESCRIPTION OF DRAWINGS DETAILED DESCRIPTION

[0028] In order to enable personnel in the technical field to better understand the technical solutions in the present specification, the technical solutions in the present specification will be clearly and completely described below in conjunction with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0029] In the description of the embodiments of the present application, the words such as "exemplary", "for example", or "for instance" are used to mean example, illustration, or description. Any embodiment or design scheme described as "exemplary", "for example", or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "exemplary", "for example", or "for instance" are intended to present the relevant concept in a specific way.

[0030] With the rapid development of the construction industry, the scale and complexity of engineering projects are constantly improving, and accurate engineering cost budgeting and control are becoming increasingly important. Current cost analysis methods often base their calculations on fixed point price data, which cannot effectively respond to dynamic changes in the prices of construction materials, labor costs, and other factors. This static estimation method cannot accurately reflect the actual cost changes during the implementation period of the project, and is prone to budget deviations.

[0031] Traditional methods usually treat each construction project as a relatively independent unit for cost accounting, without fully considering the process dependencies and resource sharing between projects during construction, which can significantly affect the overall cost. The existing cost analysis method also has the problem of imperfect early warning mechanism, which often discovers problems after cost overruns have occurred. This lag restricts the effectiveness of cost control measures and increases the difficulty of engineering cost control.

[0032] At the same time, when cost problems are discovered, existing methods are difficult to provide targeted optimization suggestions, lacking a systematic alternative solution analysis mechanism. Although the engineering construction industry has accumulated a large amount of historical cost data, these data have not been fully utilized. The existing method pays little attention to historical data analysis and market trend prediction, and different types of engineering projects often use different cost analysis methods, lacking a unified analysis standard and process, which increases the complexity of cost management and is not conducive to the accumulation and promotion of experience.

[0033] Therefore, there is an urgent need for a general cost scheme difference analysis method that can consider cost volatility, project correlation, and has early warning and optimization functions to improve the scientificity and effectiveness of engineering cost management.

[0034] Figure 1 is a flowchart of a general cost scheme difference analysis method provided by an embodiment of the present application. As shown in Figure 1 , the method includes S101-S106:

[0035] S101, obtaining the initial engineering cost of each construction item in the target construction scheme of the engineering project.

[0036] An engineering project refers to a general term for construction activities to meet specific functional requirements, such as housing construction, municipal engineering, road and bridge construction, and other construction projects.

[0037] The target construction scheme refers to a specific implementation plan developed for an engineering project, including construction process arrangement, resource allocation, technical requirements, and other content, used to guide the specific implementation of the engineering project.

[0038] Construction items refer to engineering sub-items with relatively independent functions in the engineering project, such as earthwork, foundation engineering, main structure engineering, decoration engineering, etc. Each construction item includes corresponding construction content and quality requirements.

[0039] Initial engineering cost refers to the expected cost of each construction item before the start of the engineering project, which is calculated based on design documents and relevant specification standards. It reflects the benchmark cost level of the construction item under standard conditions.

[0040] In specific implementation, first, the initial engineering cost of each construction item in the target construction scheme of the engineering project needs to be obtained, which is the basic data for cost difference analysis. The target construction scheme usually includes multiple construction items, such as earthwork, foundation engineering, main structure engineering, decoration engineering, etc., each of which has its corresponding initial engineering cost.

[0041] The way to obtain the initial engineering cost can be through the following channels: extracting the quantity data of each construction item from the bill of quantities of the construction project, and combining with the engineering cost pricing quota, material price information, and labor cost, etc. Basic data, using the quota pricing method to calculate the initial engineering cost of each construction item; or directly obtaining the contract price of each construction item from the project construction contract, tender documents and other materials as the initial engineering cost; or exporting the budget cost data of each construction item from the engineering cost management system as the initial engineering cost. The accuracy of the initial engineering cost data directly affects the reliability of subsequent cost analysis, so the authenticity and integrity of the data need to be verified during the acquisition process to ensure the reliability of the data source.

[0042] By obtaining the initial engineering cost, the benchmark data for cost analysis can be established, providing data support for subsequent dynamic adjustment based on cost fluctuation coefficient and cost adjustment based on construction item correlation, and also facilitating comparison with the preset cost to realize cost early warning function.

[0043] S102, obtain historical cost data and market price data of each construction item, and generate cost fluctuation coefficients of each construction item within a preset time period based on the historical cost data and market price data.

[0044] Considering that engineering cost will be affected by various factors during the implementation of the project and will fluctuate, it is difficult to accurately reflect the actual cost changes of the construction item based on the initial engineering cost alone, so the historical cost data and market price data of each construction item need to be obtained to predict the cost change trend.

[0045] Among them, the historical cost data refers to the actual cost records of similar construction items in past similar engineering projects, including but not limited to material prices, labor costs, mechanical usage fees, etc. Subdivision data; market price data refers to real-time data such as current market prices of raw materials, labor prices, and mechanical rental prices related to construction items.

[0046] On the basis of obtaining these data, first, according to historical cost data, the historical cost change trend of each construction item is determined through data statistical analysis method, and the trend can reflect the periodic change rule and long-term change direction of the construction item cost. Then, the historical cost change trend is combined with the current market price data, and trend extrapolation, regression analysis and other methods are used to predict the market cost change trend of each construction item within a preset time length, wherein the preset time length refers to the expected construction period from the beginning of the project to the completion.

[0047] According to the change amplitude of the predicted market cost change trend, the cost fluctuation coefficient of each construction item within the preset time length is calculated, and the cost fluctuation coefficient increases with the rise of the market cost change trend, and can quantitatively reflect the fluctuation risk of the construction item cost.

[0048] The cost fluctuation coefficient is a numerical index for quantitatively describing the change amplitude of the construction item cost, which reflects the cost instability degree of the construction item within the preset time length. Specifically, the cost fluctuation coefficient is calculated by analyzing the change trend of historical cost data and market price data, and the calculation method can adopt the coefficient of variation method, that is, the ratio of the standard deviation of the construction item cost in the prediction period to the average cost is taken as the cost fluctuation coefficient.

[0049] For example, the cost fluctuation coefficient of a construction item is 0.15, which means that the cost of the construction item may fluctuate up and down by 15% within the preset time length. When the cost fluctuation coefficient is large, it means that the cost of the construction item is greatly affected by market factors, and there is a high cost change risk; on the contrary, the smaller the cost fluctuation coefficient, the more stable the cost of the construction item.

[0050] In specific implementation, the cost change rate at each time point can be calculated according to historical cost data, and then combined with the current market price trend, the cost fluctuation coefficient can be obtained through mathematical statistical method. For example, for the construction item of concrete engineering, by analyzing the change of concrete material price, labor cost and other factors in recent years, combined with market expectation, the cost fluctuation coefficient of the construction item can be calculated, and then the cost risk degree of the construction item can be evaluated.

[0051] On the basis of the above embodiment, as an optional implementation, in S102, the cost fluctuation coefficient of each construction item within the preset time length is generated in combination with historical cost data and market price data, which specifically includes S201-S203:

[0052] S201, according to historical cost data, the historical cost change trend of each construction item is determined.

[0053] S202, on the basis of the historical cost change trend of each construction item, according to the market price data, predict the market cost change trend of each construction item within a preset time length.

[0054] In order to more accurately predict the cost change trend of construction item, it is necessary to combine the current market price data on the basis of historical cost change trend for comprehensive analysis and prediction.

[0055] Firstly, through time series analysis of historical cost data, the periodic characteristics, seasonal fluctuations and long-term trends of construction item cost change are identified. Then, collect the key factor data that affect the construction item cost in the current market, such as raw material price, labor cost, equipment rental fee and other market price data, which can reflect the latest change of market. On this basis, trend extrapolation, regression analysis and other prediction methods are used to combine historical cost change trend with market price data to predict the market cost change trend of each construction item within a preset time length.

[0056] For example, for reinforced concrete engineering, through the analysis of its historical cost data, it is found that there is obvious seasonal fluctuation characteristics, and the current steel price is rising. Therefore, when predicting the market cost change trend of this construction item, the influence of seasonal factors and rising raw material price should be considered. In the prediction process, historical cost trend can be used as the basis, and market price change can be used as the correction factor to get more accurate cost change trend prediction results. This prediction method not only maintains the reference value of historical data, but also fully considers the dynamic changes of market, which can provide more accurate cost change trend prediction.

[0057] S203, according to the change range of market cost change trend, generate cost fluctuation coefficient of each construction item within a preset time length, wherein the cost fluctuation coefficient increases with the rise of market cost change trend.

[0058] In order to quantify the cost fluctuation risk of construction item within a preset time length, it is necessary to generate cost fluctuation coefficient based on market cost change trend. The generation process uses mathematical statistics method, firstly calculates the standard deviation and mean value of market cost change trend within a preset time length, and then calculates the cost fluctuation coefficient by variation coefficient method, that is, the standard deviation is divided by the mean value to get the basic fluctuation coefficient. Considering that the rise of market cost change trend will increase the cost risk, trend correction factor needs to be introduced on the basis of basic fluctuation coefficient. When the market cost change trend rises, the trend correction factor is greater than 1, otherwise it is less than 1.

[0059] For example, the market price change trend data of a certain construction item within a preset time length shows that the standard deviation is 0.12 and the average value is 1.0, so the basic fluctuation coefficient is 0.12; if the market price of the construction item shows a significant upward trend, the trend correction factor can be 1.2, and the final price fluctuation coefficient is 0.144. Through this calculation method, the price fluctuation coefficient not only reflects the dispersion degree of price change, but also reflects the influence of market trend on price risk. For construction items with a significant upward trend in market price change, the price fluctuation coefficient will increase accordingly. This design conforms to the risk law in actual engineering: when the market price continues to rise, the price fluctuation risk will usually increase. The generation of the price fluctuation coefficient provides a scientific basis for subsequent price adjustment, and also helps project managers to identify high-risk construction items and take appropriate risk prevention and control measures in time.

[0060] S103, according to the price fluctuation coefficient, adjust the initial engineering cost of each construction item to generate the first engineering cost of each construction item within a preset time length.

[0061] In order to make the engineering cost prediction more in line with the actual situation, the price fluctuation factor needs to be considered, so this step adjusts the initial engineering cost using the price fluctuation coefficient obtained in the previous step. The adjustment process uses a mathematical model method to operate the initial engineering cost of each construction item with the corresponding price fluctuation coefficient to obtain the first engineering cost within a preset time length.

[0062] The specific adjustment method is to multiply the initial engineering cost of the construction item by (1±price fluctuation coefficient), where the positive and negative signs are selected based on the judgment of the market price change trend. When the predicted market price shows an upward trend, the positive sign is taken, and vice versa.

[0063] For example, the initial engineering cost of a certain construction item is 1 million yuan, the price fluctuation coefficient is 0.15, and the predicted market price shows an upward trend, so the first engineering cost of the construction item is 100x(1+0.15)=115 million yuan. Through this adjustment, the engineering cost prediction better reflects the influence of market changes. For construction items with a larger price fluctuation coefficient, the difference between the adjusted first engineering cost and the initial engineering cost is also larger, which reflects the higher price risk of the construction item. The generation of the first engineering cost provides basic data for subsequent consideration of the influence of construction item correlation, and also makes the cost prediction closer to the actual engineering, which helps to improve the accuracy and reliability of cost control.

[0064] S104, obtain the correlation degree of each construction item, and generate the adjustment coefficient of each construction item according to the correlation degree.

[0065] In the implementation process of a project, there are various associated relationships between construction items, such as process connection and resource sharing, which will affect the actual cost of the construction items, and therefore the influence needs to be quantified by obtaining the association degree of the construction items.

[0066] The association degree refers to the degree of mutual influence between different construction items, which can be determined by analyzing factors such as process dependency relationship, resource usage overlap, and technical requirement correlation between construction items. The specific obtaining method is: first, establish a construction item association matrix, the element value in the matrix represents the association degree between two construction items, and the association degree can be represented by 0-1 values, where 0 represents no association and 1 represents complete association; then calculate the comprehensive association degree of each construction item based on the association matrix, that is, the sum of the association degrees of the construction item and all other construction items.

[0067] For example, in a certain project, the association degree between the foundation engineering and the main structure engineering is 0.8, indicating that there is a strong association relationship between the two construction items. After obtaining the association degree, it needs to be converted into an adjustment coefficient that can be used for cost adjustment.

[0068] The generation method of the adjustment coefficient is: normalize the comprehensive association degree of the construction item, and determine the value range of the adjustment coefficient combined with engineering experience, which can be set between 0.9-1.1. The greater the association degree of the construction item, the greater the deviation of the adjustment coefficient, which reflects the characteristics that the construction item is greatly affected by other construction items. For example, if the comprehensive association degree of a construction item is high, the adjustment coefficient may be 1.08, indicating that the cost of the construction item may increase by 8% due to the influence of association. By introducing the adjustment coefficient, the association between construction items can be quantified as a specific cost adjustment basis, making the cost prediction result more complete and accurate. This cost adjustment method based on association can help identify and control the cost risk caused by the association of construction items, and provide more reliable basis for project management decision-making.

[0069] On the basis of the above embodiment, as an optional implementation manner, in S103, obtaining the association degree of each construction item specifically includes S301-S305:

[0070] S301, obtain the construction process information of each construction item.

[0071] S302, determine the construction sequence dependency relationship between each construction item according to the construction process information of each construction item.

[0072] To accurately analyze the correlation between construction items, it is necessary to first determine the construction sequence dependency relationship between the construction items, which directly affects construction organization and resource allocation, and further affects project cost. The process of determining the construction sequence dependency relationship needs to be based on the construction process information of the construction items, including the construction characteristics, technical requirements, and process flow of each construction item.

[0073] The specific determination method is: first, organize the construction process information of each construction item into a process network diagram, mark the start node and completion node of each construction item, then analyze the logical relationship between the construction items, and identify the subsequent construction items that must be started after the completion of a certain construction item. This front and rear connection relationship is the construction sequence dependency relationship.

[0074] For example, in a housing construction project, the foundation engineering must be started after the completion of earthwork excavation, and the main structure engineering must be started after the completion of the foundation engineering, which constitutes a clear construction sequence dependency relationship. Through the analysis of the construction sequence dependency relationship, a construction item dependency relationship matrix can be established, and the elements in the matrix are represented by 0 and 1, 1 indicating the existence of a dependency relationship and 0 indicating no dependency relationship. This matrix expression method is convenient for subsequent correlation calculation and generation of adjustment coefficients. The determination of the construction sequence dependency relationship is of great significance for identifying key construction items and optimizing construction organization, and also provides a basis for evaluating the cost impact degree between construction items.

[0075] For example, when the construction progress of a certain construction item is delayed, the affected subsequent construction items can be quickly identified through the construction sequence dependency relationship, and the cost impact range can be evaluated.

[0076] S303, according to the construction sequence dependency relationship, calculate the process overlap degree between any two construction items.

[0077] Based on the above embodiment, as an optional implementation, in S103, according to the construction sequence dependency relationship, the calculation of the process overlap degree between any two construction items specifically includes S401-S404:

[0078] S401, determine the time interval of the construction process of any two construction items.

[0079] S402, calculate the overlap length of the construction process time interval of any two construction items.

[0080] S403, take the construction process duration of the construction item with the minimum construction process duration among any two construction items as the reference duration.

[0081] S404, calculate the proportion of the overlapping time length to the reference time length to obtain the procedure overlap degree between any two construction items, wherein the procedure overlap degree increases with the increase of the proportion of the overlapping time length to the reference time length.

[0082] In order to accurately quantify the procedure overlap between construction items, it is necessary to calculate the procedure overlap degree through systematic steps. First, according to the construction progress plan and procedure arrangement, the specific construction time interval of each construction item is determined, including the start time and the end time.

[0083] For example, the time interval of construction item A is from March 1st to April 15th, and the time interval of construction item B is from April 1st to May 15th. After determining the time interval, the overlapping part of the time interval of the two construction items is calculated, that is, the time length from the later starting time point to the earlier ending time point. In the above example, the overlapping time interval of construction items A and B is from April 1st to April 15th, and the overlapping time length is 15 days. In order to make the calculation of the procedure overlap degree more comparable, it is necessary to select a suitable reference, here the smaller value of the procedure duration of the two construction items is selected as the reference time length. Still analyzing the above example, the duration of construction item A is 46 days, and the duration of construction item B is 45 days, so 45 days is selected as the reference time length. Finally, by calculating the ratio of the overlapping time length to the reference time length, the procedure overlap degree is obtained. In this example, the procedure overlap degree is 15 / 45≈0.33, indicating that the procedure overlap degree of the two construction items is 33%. The design of the procedure overlap degree follows the positive correlation principle, that is, the larger the proportion of the overlapping time length to the reference time length, the larger the procedure overlap degree, which conforms to the law of the influence of procedure intersection on resource sharing and cost in actual engineering.

[0084] For example, when two construction items completely overlap, the overlapping time length is equal to the duration of the smaller construction item, and at this time the procedure overlap degree reaches the maximum value 1, indicating that the procedure intersection degree of the two construction items is the highest.

[0085] S304, determine the resource sharing degree between the construction items according to the procedure overlap degree.

[0086] S305, determine the correlation degree of each construction item according to the resource sharing degree between the construction items.

[0087] In the process of engineering construction, procedure intersection and resource sharing often occur between different construction items, which directly affects the construction organization efficiency and engineering cost, so it is necessary to determine the resource sharing degree by analyzing the procedure overlap degree, and then determine the correlation degree between the construction items.

[0088] Firstly, based on the progress plan and process arrangement of the construction items, the process overlap time between any two construction items accounts for the total duration, that is, the process overlap degree. For example, if the total duration of two construction items is 100 days, and there are 30 days of process overlap, then the process overlap degree is 0.3. According to the process overlap degree, combined with the use of resources such as personnel, equipment and materials on the construction site, the degree of resource sharing between construction items can be determined. The calculation of the degree of resource sharing takes into account the number and importance of shared resources, and a weighted average method can be used to quantify the sharing of different types of resources.

[0089] For example, two construction items share tower crane equipment and construction personnel, with a device sharing weight of 0.6 and a personnel sharing weight of 0.4. The overall degree of resource sharing can be calculated according to these weights and the actual degree of sharing. After determining the degree of resource sharing, the correlation between construction items is further calculated. The correlation calculation uses a composite evaluation model, taking the process overlap degree and the degree of resource sharing as the main evaluation indicators, while considering the influence of the construction sequence dependency relationship.

[0090] The specific calculation method is: the process overlap degree, the degree of resource sharing and the dependency relationship strength are weighted and summed according to the preset weights to obtain the correlation between the two construction items. For example, the process overlap degree of two construction items is 0.3, the degree of resource sharing is 0.5, and the dependency relationship strength is 0.4, and the corresponding weights are 0.3, 0.4 and 0.3 respectively. The correlation between the two construction items is 0.3x0.3+0.5x0.4+0.4x0.3=0.41. The correlation determined by this method not only reflects the physical correlation characteristics between construction items, but also embodies the correlation characteristics of resource use, providing a more comprehensive and accurate basis for subsequent cost adjustment. It should be noted that the determination of the correlation should be dynamically adjusted according to the actual engineering situation to ensure that it reflects the true construction correlation.

[0091] On the basis of the above embodiment, as an optional implementation, in S104, generating the adjustment coefficient of each construction item according to the correlation degree specifically includes S501-S503:

[0092] S501, according to the correlation degree, constructing a correlation matrix, wherein the element value between any two construction items in the correlation matrix is the correlation degree of the two construction items.

[0093] S502, based on the correlation matrix, calculating the sum of the correlation degrees of each construction item and all other construction items, and generating the correlation degree cumulative value of each construction item.

[0094] S503, normalizing the correlation degree cumulative value of each construction item to obtain the adjustment coefficient of each construction item.

[0095] In order to scientifically quantify the degree of mutual influence between construction items and generate reasonable adjustment coefficients, the construction of and processing of the correlation matrix need to be implemented. First, the correlation degrees between the construction items are organized in matrix form to construct an n x n correlation matrix (n is the number of construction items), and the element value of the ith row and jth column in the matrix represents the correlation degree between the ith construction item and the jth construction item.

[0096] For example, in an engineering project including 4 construction items, the correlation matrix can be in the form of [[1.0, 0.41, 0.25, 0.18], [0.41, 1.0, 0.33, 0.22], [0.25, 0.33, 1.0, 0.37], [0.18, 0.22, 0.37, 1.0]], where the diagonal elements are 1, indicating the correlation degree of the construction item with itself, and the non-diagonal elements represent the correlation degrees between different construction items. After constructing the correlation matrix, the sum of the correlation degrees between each construction item and all other construction items, i.e., the correlation cumulative value, needs to be calculated. The calculation method is to add the elements in each row of the correlation matrix to obtain the correlation cumulative value of the construction item corresponding to the row.

[0097] In the above example, the correlation cumulative value of the first construction item is 1.0 + 0.41 + 0.25 + 0.18 = 1.84. In order to make the adjustment coefficients comparable and practical, the correlation cumulative values need to be normalized. The normalization method is to divide the correlation cumulative value of each construction item by the sum of the correlation cumulative values of all construction items, and the result is the adjustment coefficient of the construction item.

[0098] Assuming that the correlation cumulative values of the four construction items are 1.84, 1.96, 1.95 and 1.77 respectively, the total sum is 7.52, and the adjustment coefficient of the first construction item is 1.84 / 7.52≈0.245. The adjustment coefficient obtained by this method not only reflects the correlation strength between the construction item and other construction items, but also ensures that the sum of the adjustment coefficients is 1, which is convenient for reasonable allocation in subsequent cost adjustment. The larger the adjustment coefficient, the higher the correlation degree between the construction item and other construction items, and more mutual influences need to be considered in cost adjustment.

[0099] S105, adjusting the first engineering cost of each construction item according to the adjustment coefficient to generate the second engineering cost of each construction item within a preset time period.

[0100] In order to further improve the accuracy of engineering cost prediction, the correlation and influence between construction items need to be taken into account in cost calculation, which requires adjusting the first engineering cost using the aforementioned obtained adjustment coefficient to obtain a more realistic second engineering cost.

[0101] The calculation method adopted in the adjustment process is: multiplying the first engineering cost of each construction item by the corresponding adjustment coefficient to obtain the second engineering cost considering the associated influence. For example, the first engineering cost of a certain construction item is 1.15 million yuan, and the adjustment coefficient is 1.08, then the second engineering cost of the construction item is 115*1.08=124.2 million yuan. This adjustment method reflects the influence of the association of construction items on the cost: for the construction items with high association degree with other construction items, the degree of deviation of the adjustment coefficient from 1.0 is larger, so the difference between the second engineering cost and the first engineering cost after adjustment is also larger, which reflects the cost change of the construction item in the actual construction process due to the associated influence. By generating the second engineering cost, not only the influence of market fluctuations is considered, but also the associated influence between construction items is considered, making the cost prediction result more comprehensive and reasonable. The generation of the second engineering cost provides more accurate basic data for subsequent cost warning and optimization, which helps project management personnel better grasp the engineering cost risk and develop more targeted cost control measures.

[0102] S106, adding the second engineering cost of each construction item to generate the total engineering cost of the target construction scheme, and generating a warning information when the total engineering cost exceeds the preset cost.

[0103] In order to comprehensively evaluate the overall cost level of the engineering project and timely find the cost risk, the second engineering cost of each construction item needs to be summarized to obtain the total engineering cost of the target construction scheme.

[0104] The calculation method is to simply add the second engineering cost of all construction items, for example, a certain engineering project contains n construction items, and the total engineering cost is equal to the sum of the second engineering cost of the n construction items. After obtaining the total engineering cost, it needs to be compared with the preset cost, wherein the preset cost refers to the cost control target determined in the early stage of the project, which is usually determined in the project establishment or engineering estimate stage.

[0105] When the total engineering cost exceeds the preset cost, the system will automatically generate a warning information, and the content of the warning information includes the over budget amount, the over budget proportion, the main over budget construction item and other key information. For example, the preset cost of a certain engineering project is 10 million yuan, and the total engineering cost obtained by calculation is 11.5 million yuan, which exceeds the preset cost by 1.5 million yuan, and the over budget proportion is 15%, at this time the system will generate the corresponding warning information. The generation of the warning information enables the project management personnel to timely find the cost risk, and by analyzing the composition of the over budget construction item, the key link of cost control is found out.

[0106] On the basis of the above embodiment, as an optional implementation manner, in S106, when the total engineering cost exceeds the preset cost, the generation of the warning information specifically includes S601-S605:

[0107] S601, calculate an exceeding amount by which the total project cost exceeds the preset cost.

[0108] S602, determine a warning level according to a proportion of the exceeding amount to the preset cost.

[0109] S603, obtain a cost proportion of the second project cost of each construction item to the total project cost.

[0110] S604, sort the construction items according to the cost proportions from large to small.

[0111] S605, generate warning information including the warning level, the exceeding amount, and information of the sorted construction items.

[0112] In order to discover and respond to the situation of project cost exceeding the budget in time, a complete warning mechanism needs to be established. When the total project cost exceeds the preset cost, the exceeding amount, i.e., the difference between the total project cost and the preset cost, is calculated first.

[0113] For example, the preset cost of a certain project is 10 million yuan, and the current total project cost is 11.5 million yuan, so the exceeding amount is 1.5 million yuan. The warning level is determined according to the proportion of the exceeding amount to the preset cost, and different warning thresholds can be set, such as yellow warning for exceeding proportion within 10%, orange warning for 10%-20%, and red warning for more than 20%.

[0114] In the above example, the exceeding proportion is 15%, corresponding to the orange warning level. In order to identify the main influencing factors of cost overrun, the proportion of each construction item in the total cost needs to be analyzed. The proportion of the second project cost of each construction item to the total project cost is calculated, such as 25% for reinforced concrete engineering, 20% for decoration engineering, and 15% for mechanical and electrical installation engineering. These construction items are sorted according to the cost proportion from large to small, which can directly show the key construction items that have a greater impact on the total cost. Finally, the warning level, the exceeding amount, and the information of the sorted construction items are integrated to generate warning information and form a complete warning report. The content of the warning information should include: the warning level (such as orange warning), the exceeding amount (1.5 million yuan), the cost proportion sorting of each construction item (such as "1. Reinforced concrete engineering 25%, 2. Decoration engineering 20%, 3. Mechanical and electrical installation engineering 15%...") and other key information. This warning mechanism helps project managers quickly identify cost risks through quantitative indicators and clear analysis results, and provides decision basis for formulating targeted control measures.

[0115] Meanwhile, the ranking of cost proportions helps managers prioritize and control construction items that have a significant impact on the total cost, improving the efficiency and effectiveness of cost control. It is important to note that early warning information should be updated promptly, and the warning thresholds should be adjusted appropriately based on actual circumstances to ensure the practicality and accuracy of the early warning mechanism.

[0116] When the total project cost exceeds the preset cost, after generating an early warning message, it also includes:

[0117] Obtain alternative construction schemes for each construction item; calculate the second project cost for each alternative construction scheme; generate cost optimization suggestions based on the second project cost of each alternative construction scheme; add the cost optimization suggestions to the early warning information.

[0118] To effectively control and reduce project costs, specific and feasible optimization solutions need to be provided after issuing early warning information. First, alternative construction solutions for each construction item should be obtained from a construction solution database or historical project cases. These solutions must meet project quality requirements and technical specifications.

[0119] For example, for exterior wall decoration projects, alternative solutions might include using different sizes of facing bricks, different brands of paint, or different decorative materials; for concrete projects, alternative solutions might include adjusting the concrete grade, optimizing the mix proportion, or changing the construction process. After obtaining alternative solutions, it is necessary to calculate the secondary project cost for each alternative solution. The calculation process needs to consider changes in material costs, labor costs, machinery usage fees, and other related costs resulting from changes in construction processes.

[0120] For example, the original second phase of an exterior wall decoration project cost 2 million yuan. The plan to use domestically produced facing bricks instead of imported ones cost 1.6 million yuan, while the plan to use high-performance coatings cost 1.5 million yuan. Based on the cost calculations of each alternative plan, specific cost optimization suggestions are generated. These suggestions should include specific measures for plan changes, expected cost savings, an assessment of implementation difficulty, and potential risk warnings.

[0121] Based on the above method, this application also discloses a general cost scheme difference analysis system, such as... Figure 2 As shown, Figure 2 This is a schematic diagram of the structure of a general cost scheme difference analysis system provided in an embodiment of this application. The system includes: an acquisition module, a first generation module, an adjustment module, a second generation module, a third generation module, and an output module; wherein,

[0122] The acquisition module is configured to acquire initial engineering costs of each construction item in a target construction scheme of a construction project; the first generation module is configured to acquire historical cost data and market price data of each construction item, and generate cost fluctuation coefficients of each construction item within a preset time length in combination with the historical cost data and the market price data; the adjustment module is configured to adjust the initial engineering costs of each construction item according to the cost fluctuation coefficients, and generate first engineering costs of each construction item within the preset time length; the second generation module is configured to acquire correlation degrees of each construction item, and generate adjustment coefficients of each construction item according to the correlation degrees; the third generation module is configured to adjust the first engineering costs of each construction item according to the adjustment coefficients, and generate second engineering costs of each construction item within the preset time length; and the output module is configured to add the second engineering costs of each construction item to generate an overall engineering cost of the target construction scheme, and generate a warning information when the overall engineering cost exceeds a preset cost.

[0123] It should be noted that the system provided in the above embodiments only divides the above functional modules for example when realizing the functions, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be described here.

[0124] Please refer to Figure 3 The embodiment of the present application provides a structural schematic diagram of an electronic device. As shown in the figure, Figure 3 The electronic device 1000 can include at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0125] The communication bus 1002 is used to realize the connection and communication between the components.

[0126] The user interface 1003 can include a display screen (Display) and a camera (Camera), and the optional user interface 1003 can also include a standard wired interface and a wireless interface.

[0127] The network interface 1004 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0128] The processor 1001 can include one or more processing cores. The processor 1001 connects various parts within the server through various interfaces and lines, and performs various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Alternatively, the processor 1001 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 1001 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes operating systems, user interfaces, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 1001, but can be realized by a separate chip.

[0129] The memory 1005 can include a random access memory (RAM) and a read-only memory (ROM). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 1005 can also be at least one storage device located away from the aforementioned processor 1001. As shown, the memory 1005 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of a universal cost plan difference analysis method. Figure 3

[0130] In Figure 3 ​In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an interface for the user to input, and obtain data input by the user; and the processor 1001 can be used to call an application program stored in the memory 1005 and storing a difference analysis method of a general cost scheme, which, when executed by one or more processors, causes the electronic device to perform the method described in one or more of the above embodiments.

[0131] An electronic device readable storage medium stores instructions that, when executed by one or more processors, cause an electronic device to perform the method described in one or more of the above embodiments.

[0132] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other orders or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0133] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0134] In several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some services, interfaces, devices or units, and can be electrical or other forms.

[0135] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0136] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0137] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic or optical disk and various program code storage media.

[0138] The above is only exemplary embodiments of the present disclosure, which cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the disclosure herein. The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional techniques in the art not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for analyzing differences in a generic cost plan, characterized by, The method comprises: obtaining initial engineering costs of each construction item in a target construction scheme of a construction project; obtaining historical cost data and market price data of each construction item, combining the historical cost data and the market price data to generate cost fluctuation coefficients of each construction item within a preset time period; adjusting the initial engineering costs of each construction item according to the cost fluctuation coefficients to generate first engineering costs of each construction item within the preset time period; obtaining correlation degrees of each construction item, which comprises: obtaining construction procedure information of each construction item; determining construction sequence dependency relationships between each construction item according to the construction procedure information of each construction item; calculating procedure overlap degrees between any two construction items according to the construction sequence dependency relationships, which comprises: determining time intervals of construction procedures of any two construction items; calculating overlapping time lengths of the construction procedure time intervals of any two construction items; taking the construction procedure duration of the construction item with the minimum construction procedure duration among any two construction items as a reference duration; calculating a proportion of the overlapping time length to the reference duration to obtain the procedure overlap degree between any two construction items, wherein the procedure overlap degree increases with the increase of the proportion of the overlapping time length to the reference duration; determining resource sharing degrees between each construction item according to the procedure overlap degrees; determining correlation degrees of each construction item according to the resource sharing degrees between each construction item; generating adjustment coefficients of each construction item according to the correlation degrees; the generating of the adjustment coefficients of each construction item according to the correlation degrees comprises: constructing a correlation matrix according to the correlation degrees, wherein the element value between any two construction items in the correlation matrix is the correlation degree of the two construction items; calculating the sum of the correlation degrees of each construction item and all other construction items based on the correlation matrix to generate correlation degree cumulative values of each construction item; normalizing the correlation degree cumulative values of each construction item to obtain the adjustment coefficients of each construction item; the correlation degree is the degree of mutual influence between different construction items, and the element value in the construction item correlation matrix represents the correlation degree between two construction items, wherein 0 represents no correlation and 1 represents complete correlation; the comprehensive correlation degree of each construction item is calculated based on the correlation matrix, i.e., the sum of the correlation degrees of the construction item and all other construction items; adjusting the first engineering costs of each construction item according to the adjustment coefficients to generate second engineering costs of each construction item within the preset time period; adding the second engineering costs of each construction item to generate an engineering total cost of the target construction scheme, and generating a warning information when the engineering total cost exceeds a preset cost.

2. The method of claim 1, wherein, The combining the historical cost data and the market price data generates a cost fluctuation coefficient of each construction item within a preset time length, including: determining a historical cost change trend of each construction item according to the historical cost data; on the basis of the historical cost change trend of each construction item, predicting a market cost change trend of each construction item within a preset time length according to the market price data; and generating a cost fluctuation coefficient of each construction item within a preset time length according to a change amplitude of the market cost change trend, wherein the cost fluctuation coefficient increases with the rise of the market cost change trend.

3. The method of claim 1, wherein the difference analysis of the generic cost plan is performed by a difference analysis module. The generating the early warning information when the total project cost exceeds the preset cost includes: calculating an exceeding amount of the total project cost exceeding the preset cost; determining an early warning level according to a proportion of the exceeding amount in the preset cost; obtaining a cost proportion of the second project cost of each construction item in the total project cost; sorting each construction item in descending order according to the cost proportion of each construction item; and generating early warning information including the early warning level, the exceeding amount, and the sorted construction item information.

4. The method of claim 1, wherein, After the generating the early warning information when the total project cost exceeds the preset cost, the method further includes: obtaining an alternative construction scheme of each construction item; calculating a second project cost of each alternative construction scheme; generating a cost optimization suggestion according to the second project cost of each alternative construction scheme; and adding the cost optimization suggestion to the early warning information.

5. A system for analyzing differences in generic cost plans, comprising: The system comprises an acquisition module, a first generation module, an adjustment module, a second generation module, a third generation module and an output module; the acquisition module is configured to acquire initial project costs of each construction item in a target construction scheme of an engineering project; the first generation module is configured to acquire historical cost data and market price data of each construction item, generate cost fluctuation coefficients of each construction item within a preset time period based on the historical cost data and the market price data; the adjustment module is configured to adjust the initial project costs of each construction item according to the cost fluctuation coefficients, generate first project costs of each construction item within the preset time period; the second generation module is configured to acquire correlation degrees of each construction item, and the acquisition of the correlation degrees of each construction item comprises: acquiring construction procedure information of each construction item; determining construction sequence dependency relationships between each construction item based on the construction procedure information of each construction item; calculating procedure overlap degrees between any two construction items based on the construction sequence dependency relationships, which comprises: determining time intervals of construction procedures of any two construction items; calculating overlapping time lengths of the construction procedure time intervals of any two construction items; taking a construction procedure duration of a construction item with the minimum construction procedure duration among any two construction items as a reference duration; calculating a proportion of the overlapping time length to the reference duration to obtain the procedure overlap degree between any two construction items, wherein the procedure overlap degree increases with the increase of the proportion of the overlapping time length to the reference duration; determining resource sharing degrees between each construction item based on the procedure overlap degrees; determining the correlation degrees of each construction item based on the resource sharing degrees between each construction item; generating adjustment coefficients of each construction item based on the correlation degrees; the generation of the adjustment coefficients of each construction item based on the correlation degrees comprises: constructing a correlation matrix based on the correlation degrees, wherein an element value between any two construction items in the correlation matrix is the correlation degree of the two construction items; calculating a sum of the correlation degrees of each construction item and all other construction items based on the correlation matrix to generate a correlation degree cumulative value of each construction item; performing normalization processing on the correlation degree cumulative value of each construction item to obtain the adjustment coefficient of each construction item; the correlation degree is a degree of mutual influence between different construction items, and an element value in the construction item correlation matrix represents the correlation degree between two construction items, wherein 0 represents no correlation and 1 represents complete correlation; the comprehensive correlation degree of each construction item is calculated based on the correlation matrix, i.e., the sum of the correlation degrees of the construction item and all other construction items; the third generation module is configured to adjust the first project costs of each construction item based on the adjustment coefficients to generate second project costs of each construction item within the preset time period; and the output module is configured to add the second project costs of each construction item to generate an engineering total cost of the target construction scheme, and generate a warning information when the engineering total cost exceeds a preset cost.

6. An electronic device, comprising: An electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating with other devices, the processor being configured to execute the instructions stored in the memory to cause the electronic device to perform the method of any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, A computer program stored in a memory and loadable into the working memory of a digital computer, comprising software code portions arranged to make the computer execute the method of any one of claims 1-4 when said product is run on the computer.

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