Engineering cost accounting and price rationality commenting system and method based on AI

Abstract

The invention provides an engineering cost accounting and price rationality commenting system and method based on AI. The engineering cost accounting and price rationality commenting system comprises: a project confirmation module determines a project project to be subjected to cost accounting and locks a target project; the data acquisition module acquires target project implementation data information in the enterprise database according to the target project; the cost accounting module adopts AI assistance to carry out cost budgeting on the target project and carries out big data analysis according to the implementation information of the target project to calculate the actual project cost; and the analysis and comment module carries out price reasonability comment on the engineering cost budget data and the engineering cost actual data in combination with a comment model to obtain a price reasonability comment result. According to the invention, the method achieves the automatic and efficient accounting of the engineering cost based on AI, does not need manual participation, effectively reduces the accounting error, can achieve the price rationality comment based on the accounting result, reasonably controls the project cost, and guarantees the core competitiveness of an enterprise.

Description

Technical Field

[0001] The present invention relates to the technical field of project engineering management, and particularly relates to a system and method for engineering cost accounting and price rationality evaluation based on AI. Background Art

[0002] Under the background of the rapid economic development in our country, in order to meet the needs of market economic growth and people's lives, there are more and more large-scale construction projects, and the competition in the construction industry is becoming increasingly fierce. In order for construction enterprises to obtain more markets, they need to improve the project quality and reasonably control the project cost, so as to ensure the core competitiveness of the enterprise.

[0003] Engineering cost accounting is an essential link in the construction process of construction enterprises, which determines the efficiency and quality of construction enterprises' construction. It is the main way to realize cost control and the main reliance to ensure project quality. However, engineering cost accounting is a professional and cumbersome task. The traditional manual operation mode can no longer meet the needs of construction enterprises for engineering cost accounting. Therefore, with the rapid development of computer technology, calculation software is gradually incorporated into engineering cost accounting to reduce the workload of manual accounting. Not only is the accounting efficiency low, but there are also large errors due to manual assistance. The present invention proposes a system and method for engineering cost accounting and price rationality evaluation based on AI, which realizes the automated and efficient accounting of engineering costs based on AI, without the participation of manual assistance, effectively reducing the accounting error. At the same time, it can also realize the evaluation of price rationality based on the accounting results, so that project cost control can be carried out according to the evaluation results of price rationality, thereby ensuring the core competitiveness of the enterprise. Summary of the Invention

[0004] The purpose of the present invention is to provide a system and method for engineering cost accounting and price rationality evaluation based on AI to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A system for engineering cost accounting and price rationality evaluation based on AI, comprising: a project confirmation module, a data acquisition module, a cost accounting module, and an analysis and evaluation module;

[0006] The project confirmation module is used to determine the project engineering for cost accounting and lock the target project;

[0007] The data acquisition module is used to obtain project implementation data in the enterprise database according to the target project to obtain the target project implementation information;

[0008] The cost accounting module is used to adopt AI assistance to conduct cost budgeting for the target project to obtain engineering cost budget data, and conduct big data analysis according to the target project implementation information to calculate the actual engineering cost and obtain the actual engineering cost data;

[0009] The analysis and review module is used to conduct a price rationality review on the engineering cost budget data and the actual engineering cost data in combination with the review model to obtain the price rationality review result.

[0010] Further, when the cost accounting module uses AI assistance to conduct a cost budget for the target project, it sends out a first accounting signal, and the data acquisition module retrieves project-related data for the target project in the enterprise database according to the first accounting signal to obtain the first target retrieval information; when the cost accounting module conducts big data analysis based on the target project implementation information, it sends out a second accounting signal according to the preset cost accounting rules for the project implementation process, and the data acquisition module retrieves the project implementation data for the target project in the enterprise database according to the second accounting signal to obtain the second target retrieval information.

[0011] Further, the cost accounting module includes: an overall budget unit and an actual calculation unit.

[0012] The overall budget unit is used to use AI assistance to predict the project cost according to the first target retrieval information, obtain the estimated cost required for the target project to implement the project, and obtain the engineering cost budget data.

[0013] The actual calculation unit is used to conduct big data analysis according to the second target retrieval information and calculate the actual engineering cost in the current project implementation stage to obtain the actual engineering cost data.

[0014] Further, when the overall budget unit uses AI assistance to predict the project cost according to the first target retrieval information, it constructs a project cost prediction model based on AI technology and conducts project cost prediction for the first target retrieval information through the project cost prediction model, including:

[0015] Conduct a project analysis on the target project to determine the composition of the target project costs;

[0016] Determine the construction enterprise corresponding to the target project, and obtain the historical cost data of the target project based on the construction enterprise according to the composition of the target project costs;

[0017] Conduct a cost change prediction on the historical cost data of the target project to obtain the predicted cost of the target project;

[0018] Calculate according to the predicted cost of the target project to obtain the engineering cost budget data.

[0019] Further, when the actual calculation unit conducts big data analysis according to the second target retrieval information, it uses an artificial intelligence analysis model to conduct big data analysis on the second target retrieval information, including:

[0020] Determine the retrieval time of the second target retrieval information, and obtain the second target retrieval information corresponding to the previous retrieval time based on the retrieval time, so as to obtain the target retrieval information at the previous moment;

[0021] Combine the second target retrieval information with the target retrieval information at the previous moment for data analysis to determine whether the information has changed, and obtain the data analysis result;

[0022] Screen the second target retrieval information according to the data analysis result to obtain the first screening result and the second screening result;

[0023] Perform cost calculation on the first screening result to obtain the first cost data at the current project implementation stage;

[0024] Based on the second screening result, perform calculation data reference retrieval on the target retrieval information at the previous moment to obtain the second cost data at the current project implementation stage;

[0025] Obtain the actual engineering cost data according to the first cost data at the current project implementation stage and the second cost data at the current project implementation stage.

[0026] Further, the analysis and review module includes: a first review unit, a second review unit, and a third review unit;

[0027] The first review unit is used to perform a price reasonableness review on the engineering cost budget data by using a first review model to obtain a first price reasonableness review result;

[0028] The second review unit is used to perform a price reasonableness review on the actual engineering cost data by using a second review model to obtain a second price reasonableness review result;

[0029] The third review unit is used to combine the actual engineering cost data with the engineering cost budget data by using a third review model to perform project implementation analysis, evaluate whether the project implementation progress is reasonable, and obtain a project implementation review result.

[0030] Further, the first review unit performing a price reasonableness review on the engineering cost budget data by using a first review model includes:

[0031] Obtain the competitor's quotation data based on the target project to obtain the competitor's quotation data, and combine the engineering cost budget data with the competitor's quotation data for review to obtain the first review data;

[0032] Obtain historical project data based on the target project, and perform a review on the engineering cost budget data according to the historical project data to obtain the second review data;

[0033] Combining the first review data and the second review data to obtain the first price reasonableness review result.

[0034] Furthermore, the second review unit uses the second review model to conduct a price reasonableness review on the actual engineering cost data, including:

[0035] Analyze the actual engineering cost data, and divide it into the first actual cost data and the second actual cost data according to the composition of the actual engineering cost data;

[0036] Determine the construction nodes corresponding to the target project during the project construction process for the actual engineering cost data to obtain the current construction node;

[0037] Based on the current construction node, combine the engineering cost budget data to conduct project construction data and enterprise management data analysis respectively to obtain the first analysis data and the second analysis data;

[0038] According to the first analysis data, conduct a review on the first actual cost data to obtain the third review data, and according to the second analysis data, conduct a review on the second actual cost data to obtain the fourth review data;

[0039] Combine the third review data and the fourth review data to determine the second price reasonableness review result.

[0040] Furthermore, the third review unit uses the third review model to combine the actual engineering cost data with the engineering cost budget data for project implementation analysis to evaluate whether the project implementation progress is reasonable, including:

[0041] Based on the engineering cost budget data, conduct project implementation node breakdown for the target project to determine the budget data of the project implementation nodes;

[0042] Analyze the project construction progress corresponding to the actual engineering cost data to determine the current project construction node;

[0043] According to the current project construction node, screen the budget data of the project implementation nodes to obtain the budget data of the target project implementation nodes;

[0044] Based on the budget data of the target project implementation nodes, conduct a summary to obtain the first evaluation data;

[0045] Combine the first evaluation data with the actual engineering cost data for analysis and judgment to determine whether the project implementation progress is reasonable and obtain the project implementation review result.

[0046] An AI-based engineering cost accounting and price reasonableness review method, including:

[0047] Determine the project engineering for cost accounting and lock in the target project;

[0048] Use AI assistance to perform cost budgeting for the target project to obtain project cost budget data;

[0049] Obtain the target project implementation information by retrieving project implementation data from the enterprise database for the target project;

[0050] Perform big data analysis based on the target project implementation information, calculate the actual project cost, and obtain the actual project cost data;

[0051] Combine the project cost budget data and the actual project cost data and conduct a price reasonableness review using a review model to obtain the price reasonableness review result.

[0052] The present invention can achieve project cost accounting and price reasonableness review without the need for human assistance, reducing the influence of human factors, improving the efficiency of project cost accounting and price reasonableness review, reducing the error of project cost accounting, and moreover, without the need for humans to conduct reviews on the project cost budget data and the actual project cost data, improving the objective accuracy of the price reasonableness review result, enabling project cost control to be carried out based on the price reasonableness review result, and thus ensuring the core competitiveness of the enterprise.

[0053] Other features and advantages of the present invention will be described in the following specification, and some of them will become obvious from the specification or can be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the application documents.

[0054] The technical solution of the present invention will be further described in detail below through the accompanying drawings and embodiments. Description of the Drawings

[0055] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the accompanying drawings:

[0056] Figure 1 is a schematic diagram of the project cost accounting and price reasonableness review system according to the present invention;

[0057] Figure 2 is a schematic diagram of the cost accounting module in the project cost accounting and price reasonableness review system according to the present invention;

[0058] Figure 3 is a schematic diagram of the overall budget unit steps of the cost accounting module in the project cost accounting and price reasonableness review system according to the present invention;

[0059] Figure 4 is a schematic diagram of the actual calculation unit steps of the cost accounting module in the project cost accounting and price reasonableness review system according to the present invention;

[0060] Figure 5 It is a schematic diagram of the analysis and evaluation module in the engineering cost accounting and price rationality evaluation system of the present invention;

[0061] Figure 6 It is a schematic diagram of the steps of the first evaluation unit of the analysis and evaluation module in the engineering cost accounting and price rationality evaluation system of the present invention;

[0062] Figure 7 It is a schematic diagram of the steps of the second evaluation unit of the analysis and evaluation module in the engineering cost accounting and price rationality evaluation system of the present invention;

[0063] Figure 8 It is a schematic diagram of the steps of the third evaluation unit of the analysis and evaluation module in the engineering cost accounting and price rationality evaluation system of the present invention;

[0064] Figure 9 It is a schematic diagram of the steps of the engineering cost accounting and price rationality evaluation method of the present invention. Detailed implementation manners

[0065] The following describes the preferred embodiments of the present invention in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0066] As Figure 1 shown, the embodiment of the present invention provides an AI-based engineering cost accounting and price rationality evaluation system, including: a project confirmation module, a data acquisition module, a cost accounting module, and an analysis and evaluation module;

[0067] The project confirmation module is used to determine the project engineering for cost accounting and lock the target project;

[0068] The data acquisition module is used to obtain project implementation data in the enterprise database according to the target project to obtain the target project implementation information;

[0069] The cost accounting module is used to use AI assistance to perform cost budgeting on the target project to obtain engineering cost budget data, and perform big data analysis according to the target project implementation information to calculate the actual engineering cost and obtain the actual engineering cost data;

[0070] The analysis and evaluation module is used to perform price rationality evaluation on the engineering cost budget data and the actual engineering cost data in combination with the evaluation model to obtain the price rationality evaluation result.

[0071] In the above technical solution, the project confirmation module, the data acquisition module, the cost accounting module, and the analysis and evaluation module are connected in sequence.

[0072] In the above technical solution, the enterprise database is an information database jointly obtained from the monitoring data obtained through project construction supervision for the project and the enterprise management information, including: project construction monitoring data and enterprise management data.

[0073] The above technical solution can achieve project cost accounting and price rationality evaluation without the need for human assistance, reducing the influence of human factors, improving the efficiency of project cost accounting and price rationality evaluation, reducing the error of project cost accounting, and without the need for humans to evaluate the project cost budget data and the actual project cost data, improving the objective accuracy of the price rationality evaluation results, enabling project cost control based on the price rationality evaluation results, and thus ensuring the core competitiveness of the enterprise. The target project is locked through the project confirmation module, enabling a series of analyses in the data acquisition module, cost accounting module, and analysis and evaluation module based on the target project in the project cost accounting and price rationality evaluation system. Even if there are multiple projects in the project cost accounting and price rationality evaluation system, project cost accounting and price rationality evaluation can be effectively carried out, reducing the data chaos degree of the project cost accounting and price rationality evaluation system, ensuring the orderliness of the project cost accounting and price rationality evaluation system, and through the data acquisition module, data can be retrieved according to the target project, without the need for manual data collection and input, reducing the time consumption of data acquisition, avoiding the probability of errors in manual data input, ensuring the accuracy of the target project implementation information, improving the efficiency of the data acquisition module in obtaining the target project implementation information, and thus enhancing the efficiency of project cost accounting and price rationality evaluation. In the cost accounting module, AI assistance is adopted to enable cost budgeting for the target project and actual project cost calculation based on the target project implementation information in a short period of time, improving the efficiency of cost budgeting and cost calculation, and at the same time, it is not easy to make calculation errors, effectively ensuring the accuracy of the project cost budget data and the actual project cost data. In addition, the analysis and evaluation module combines the evaluation model to conduct price rationality evaluation on the project cost budget data and the actual project cost data, without subjective human participation in the evaluation, reducing the influence of subjective human factors, and still realizing the evaluation of the project cost budget data and the actual project cost data, making it clear whether the project cost budget data and the actual project cost data are reasonable, so as to guide construction enterprises to reasonably control project cost expenses, and thus ensuring the core competitiveness of the enterprise.

[0074] In an embodiment provided by the present invention, when the cost accounting module uses AI assistance to perform cost budgeting for a target project, it sends a first accounting signal, and the data acquisition module retrieves project-related data for the target project in the enterprise database according to the first accounting signal to obtain the first target retrieval information; when the cost accounting module performs big data analysis based on the target project implementation information, it sends a second accounting signal according to the preset cost accounting rules for the project implementation process, and the data acquisition module retrieves project implementation data for the target project in the enterprise database according to the second accounting signal to obtain the second target retrieval information.

[0075] In the above technical solution, the enterprise database is updated in real time according to the project construction situation and enterprise management situation.

[0076] In the above technical solution, the project-related data includes data information related to the implementation of the entire project, such as construction progress, market changes, labor costs, material costs, equipment costs, on-site expenses, period expenses, etc.

[0077] In the above technical solution, the cost accounting rules for the project implementation process can be set according to requirements, for example: regular accounting according to time, phased accounting according to construction progress, and so on.

[0078] In the above technical solution, when the data acquisition module retrieves project implementation data for the target project in the enterprise database according to the second accounting signal, it includes:

[0079] Perform signal verification on the second accounting signal to determine whether the second accounting signal is valid, and obtain a signal analysis result;

[0080] When the signal analysis result shows that the second accounting signal is valid, parse the second accounting signal to obtain second accounting signal parsing information;

[0081] Determine the accounting node time according to the second accounting signal parsing information;

[0082] In the enterprise database, analyze the project monitoring data and enterprise management data corresponding to the project implementation data and enterprise management data at the accounting node time in combination with the accounting node time to obtain the first target data information and the second target data information;

[0083] Combine the first target data information and the second target data information to obtain the second target retrieval information.

[0084] The above technical solution realizes the communication connection between the cost accounting module and the data acquisition module through the first accounting signal and the second accounting signal, enabling the cost accounting module to automatically obtain the data information for accounting based on the data acquisition module when performing accounting, improving the acquisition efficiency of the first target retrieval information and the second target retrieval information, providing a data basis for the cost accounting module, so that the cost accounting module can perform accounting efficiently. Moreover, through the first accounting signal and the second accounting signal, the data acquisition module obtains data information according to the requirements of the cost accounting module, realizing on-demand acquisition, reducing the redundancy of irrelevant information in the first target retrieval information and the second target retrieval information, and ensuring the accuracy of the first target retrieval information and the second target retrieval information.

[0085] As Figure 2 shown, in an embodiment provided by the present invention, the cost accounting module includes: an overall budget unit and an actual calculation unit.

[0086] The overall budget unit is used to predict the project cost according to the first target retrieval information by means of AI assistance, obtain the estimated cost required for the target project to carry out the project implementation, and obtain the project cost budget data.

[0087] The actual calculation unit is used to perform big data analysis according to the second target retrieval information, calculate the actual project cost in the current project implementation stage, and obtain the actual project cost data.

[0088] The above technical solution realizes the partition accounting of the cost accounting module through the overall budget unit and the actual calculation unit, enabling the overall accounting unit to clarify the overall price profile of the target project for the overall project budget of the target project. Moreover, through the actual calculation unit, the project cost accounting of the intermediate nodes in the project implementation process is realized, so that the actual project cost profile of the project implementation can be understood in a timely manner, providing a reference for the construction benefits and quality control of construction enterprises, enabling construction enterprises to carry out cost control based on the project cost budget data and the actual project cost data, reasonably controlling the project cost, and thus ensuring the core competitiveness of the enterprise.

[0089] As Figure 3 shown, in an embodiment provided by the present invention, when the overall budget unit predicts the project cost according to the first target retrieval information by means of AI assistance, a project cost prediction model is constructed based on AI technology, and the project cost prediction is carried out for the first target retrieval information through the project cost prediction model, including:

[0090] A1. Conduct a project analysis on the target project to determine the composition of the target project costs;

[0091] A2. Determine the construction enterprise corresponding to the target project, and obtain the historical cost data of the target project based on the historical data obtained by the construction enterprise according to the cost composition of the target project.

[0092] A3. Forecast the cost change for the historical cost data of the target project to obtain the predicted cost of the target project.

[0093] A4. Calculate according to the predicted cost of the target project to obtain the project cost budget data.

[0094] In the above technical solution, the cost composition of the target project usually includes: labor costs, material costs, equipment costs, management costs, temporary costs, etc. Among them, management costs such as: the salary and welfare of management personnel, office water and electricity, etc., and temporary costs such as: temporary equipment, test and inspection, etc.

[0095] In the above technical solution, when obtaining historical data based on the construction enterprise according to the cost composition of the target project, the actual project cost data is retrieved from the projects that the construction enterprise has completed, and the actual project cost data is obtained. Then, based on the cost composition of the target project, the effective data is screened from the actual project cost data to obtain the historical cost data of the target project. The historical cost data of the target project refers to the data related to the target project in the actual historical project cost data.

[0096] In the above technical solution, the cost change prediction for the historical cost data of the target project includes:

[0097] Group the historical cost data of the target project according to the cost composition of the target project to obtain the historical cost data of each cost type.

[0098] Analyze the change characteristics based on the historical cost data of each cost type, and conduct data prediction based on the change characteristics of the historical cost data of each cost type to obtain the first predicted data of each cost type.

[0099] Obtain the market data based on each cost type, and perform corresponding matching between the market data and the historical cost data of each cost type to obtain the corresponding matching result.

[0100] Conduct enterprise impact analysis according to the corresponding matching result, and conduct overall evaluation on the enterprise impact to obtain the average predicted impact data and obtain the first impact factor; among them, the enterprise impact is generally the preferential ratio of the actual cost data of the construction enterprise for each cost type compared with the market data.

[0101] Analyze the characteristics of the market data, obtain the market change characteristics, and conduct market prediction based on the market change characteristics to obtain the market prediction information.

[0102] Perform predictive analysis by combining the first predicted data of cost types with market prediction information, and obtain the predicted cost of the target project after calibration by combining the first influencing factor.

[0103] In the above technical solution, when calculating according to the predicted cost of the target project, calculate the cost types in sequence according to the composition of the target project cost, and then accumulate the calculation results of the cost types to obtain the project cost budget data.

[0104] In the above technical solution, the project cost prediction model is connected to the enterprise database and the Internet database, and information matching can be performed in the enterprise database according to the composition of the target project cost to obtain historical data, or market data can be obtained in the Internet database according to the cost types in the composition of the target project cost.

[0105] The above technical solution uses AI assistance to enable the project cost prediction model to retrieve information according to the first target for project cost prediction, realizing AI automated analysis and calculation of big data, improving the efficiency of project cost prediction, and ensuring the calculation accuracy of project cost prediction. Moreover, by determining the composition of the target project cost, analysis is carried out according to the actual situation of the target project, avoiding ineffective data analysis when there are differences in cost types among different projects, which affects the efficiency of data analysis calculation. And by predicting the cost change for the historical cost data of the target project, prediction is carried out according to the change situation of the historical cost data of the target project, reducing the error of the predicted cost of the target project, and further improving the accuracy of the project cost budget data. In addition, when predicting the cost change for the historical cost data of the target project, the historical cost data of the target project is grouped according to the composition of the target project cost, so as to perform separate predictions according to the cost types. Moreover, when predicting in combination with the change characteristics of the historical data of the cost types, the market change and the enterprise influence of the construction enterprise based on the market of the cost types are considered, optimizing the acquisition process of the predicted cost of the target project and improving the accuracy of the predicted cost of the target project.

[0106] As Figure 4 shown, in an embodiment provided by the present invention, when the actual calculation unit retrieves information according to the second target for big data analysis, an artificial intelligence analysis model is used to retrieve information according to the second target for big data analysis, including:

[0107] B1. Determine the retrieval time of the second target retrieved information, and obtain the second target retrieved information corresponding to the previous retrieval time based on the retrieval time to obtain the target retrieved information at the previous moment;

[0108] B2. Combine the second target retrieved information with the target retrieved information at the previous moment for data analysis to determine whether the information has changed, and obtain the data analysis result;

[0109] B3. Screen the information retrieved for the second target according to the data analysis results to obtain the first screening result and the second screening result;

[0110] B4. Calculate the cost for the first screening result to obtain the first cost data at the current project implementation stage;

[0111] B5. Based on the second screening result, calculate and retrieve data references for the information retrieved for the target at the previous moment to obtain the second cost data at the current project implementation stage;

[0112] B6. Obtain the actual project cost data based on the first cost data and the second cost data at the current project implementation stage.

[0113] In the above technical solution, the first screening result is the information retrieved for the second target with changed information, and the second screening result is the information retrieved for the second target with unchanged information.

[0114] In the above technical solution, after obtaining the actual project cost data, data storage is also performed on the actual project cost data in combination with the information retrieved for the second target and the retrieval time to form an actual project cost data analysis database.

[0115] In the above technical solution, when calculating the cost for the first screening result, the calculation is performed based on the actual unit price according to the cost type. For example: labor cost = number of workers × per capita labor cost, material cost = current construction material usage × material procurement unit price, equipment cost = current equipment in use × equipment rental unit price, etc.

[0116] In the above technical solution, the artificial intelligence analysis model is a data analysis model constructed in advance for the data analysis of the information retrieved for the second target, and there is a trust relationship with the actual project cost data analysis database, and data information can be directly retrieved according to the retrieval time.

[0117] The above technical solution realizes the big data analysis of the information retrieved for the second target through the artificial intelligence analysis model. It can not only efficiently and accurately obtain the actual project cost data, but also realize the communication connection with the actual project cost data analysis database in the artificial intelligence analysis model, so that data can be retrieved according to the big data analysis requirements. Therefore, during the big data analysis process, data information in the process of obtaining the actual project cost data at the previous retrieval time is combined for data analysis, so as to determine different cost data according to whether the information has changed, and directly perform calculation data reference retrieval with the information retrieved for the target at the previous moment, avoiding repeated calculations for unchanged information, improving the acquisition efficiency of the second cost data at the current project implementation stage, and then efficiently obtaining the actual project cost data, so as to obtain the actual project cost data in a short time and effectively improve the big data analysis efficiency of the actual calculation unit.

[0118] As Figure 5 shown, in an embodiment provided by the present invention, the analysis and review module includes: a first review unit, a second review unit, and a third review unit;

[0119] The first review unit is used to perform a price rationality review on the engineering cost budget data by using a first review model, and obtain a first price rationality review result;

[0120] The second review unit is used to perform a price rationality review on the actual engineering cost data by using a second review model, and obtain a second price rationality review result;

[0121] The third review unit is used to use a third review model to combine the actual engineering cost data with the engineering cost budget data for project implementation analysis, evaluate whether the project implementation progress is reasonable, and obtain a project implementation review result.

[0122] In the above technical solution, the review models include: a first review model, a second review model, and a third review model. The first review unit, the second review unit, and the third review unit respectively perform analysis and review through the first review model, the second review model, and the third review model with the help of AI.

[0123] The above technical solution realizes the review of the engineering cost budget data and the actual engineering cost data of the target project through the analysis and review module, so as to clarify whether the price of the target project is reasonable, and then the construction enterprise can be guided to reasonably control the project cost according to the first price rationality review result, the second price rationality review result, and the project implementation review result, thereby ensuring the core competitiveness of the enterprise.

[0124] As Figure 6 shown, in an embodiment provided by the present invention, the first review unit uses a first review model to perform a price rationality review on the engineering cost budget data, including:

[0125] C1. Obtain the quotation data of competitors based on the target project to obtain the competitor quotation data, and combine the engineering cost budget data with the competitor quotation data for review to obtain the first review data;

[0126] C2. Obtain historical project data based on the target project, and perform a review on the engineering cost budget data according to the historical project data to obtain the second review data;

[0127] C3. Combine the first review data and the second review data to obtain the first price rationality review result.

[0128] In the above technical solution, when commenting on the engineering cost budget data in combination with the competitor's quotation data, the difference between the engineering cost budget data and the competitor's quotation data is calculated to obtain difference data, and then the first comment data is determined according to the first comment rule for the difference data. Among them, the first comment rule is based on the mapping relationship between the difference data and the comment data.

[0129] In the above technical solution, commenting on the engineering cost budget data according to historical project data includes:

[0130] Determine the project scale of the target project, and at the same time obtain the project scale of the historical project for the historical project data;

[0131] Compare and analyze the project scale of the target project in combination with the project scale of the historical project to determine the project scale difference;

[0132] Calculate the harmonic factor according to the project scale difference to obtain the comment harmonic factor;

[0133] Use the comment harmonic factor to adjust the historical project data to obtain the comment analysis data;

[0134] Comment and analyze the engineering cost budget data and the comment analysis data to obtain difference data;

[0135] Perform data conversion on the difference data according to the second comment rule to obtain the second comment data. Among them, the second comment rule is based on the mapping relationship between the difference data and the comment data.

[0136] In the above technical solution, when integrating the first comment data and the second comment data, perform weight analysis on the comment based on the competitor's quotation data and the comment based on the historical project data respectively to determine the first weight and the second weight, and then perform comprehensive calculation after combining the first weight with the first comment data and the second weight with the second comment data to obtain the first price reasonableness comment data, and then obtain the first price reasonableness comment result based on the first price reasonableness comment data.

[0137] In the above technical solution, the first comment unit uses the first comment model to perform intelligent analysis on the engineering cost budget data to obtain the first price reasonableness comment result.

[0138] The above technical solution enables the first comment unit to realize the comment on the engineering cost budget data based on the competitor's quotation data and the historical project data through the first comment model, conduct comments from multiple aspects, eliminate the one-sidedness of the comments, improve the comprehensiveness of the first price reasonableness comment result, make the first price reasonableness comment result more accurate, and at the same time can provide a reference for controlling the project cost, improving the core competitiveness of the enterprise.

[0139] Such asFigure 7 As shown in the figure, in an embodiment provided by the present invention, the second evaluation unit uses a second evaluation model to evaluate the price reasonableness of the actual engineering cost data, including:

[0140] D1. Analyze the actual engineering cost data, and divide it into first cost actual data and second cost actual data according to the composition of the actual engineering cost data;

[0141] D2. Determine the construction nodes corresponding to the target project during the project construction process for the actual engineering cost data, and obtain the current construction node;

[0142] D3. Based on the current construction node, combine the engineering cost budget data to respectively analyze the project construction data and enterprise management data, and obtain first analysis data and second analysis data;

[0143] D4. Evaluate the first cost actual data according to the first analysis data to obtain third evaluation data, and evaluate the second cost actual data according to the second analysis data to obtain fourth evaluation data;

[0144] D5. Combine the third evaluation data and the fourth evaluation data to determine the second price reasonableness evaluation result.

[0145] In the above technical solution, the second cost actual data is the management cost in the actual engineering cost data, and the first cost actual data is other costs in the actual engineering cost data except the management cost, such as material cost, equipment cost, etc.

[0146] In the above technical solution, the first analysis data refers to the project construction data at the current construction node, such as labor cost, material cost, equipment cost, temporary equipment, test and inspection, etc. The second analysis data refers to the enterprise management data corresponding to the current construction node, such as the salary and welfare of management personnel, office water and electricity, etc.

[0147] In the above technical solution, when evaluating the first cost actual data according to the first analysis data, calculate the difference ratio between the first analysis data and the first cost actual data to obtain the third evaluation data. When evaluating the second cost actual data according to the second analysis data, calculate the difference ratio between the second analysis data and the second cost actual data to obtain the fourth evaluation data.

[0148] In the above technical solution, when combining the third evaluation data and the fourth evaluation data, after performing weight analysis on the first analysis data and the second analysis data, combine the weights of the first analysis data and the second analysis data to perform comprehensive calculation on the first analysis data and the second analysis data to obtain the second price reasonableness evaluation data, and then obtain the second price reasonableness evaluation result based on the second price reasonableness evaluation data.

[0149] In the above technical solution, the second evaluation unit uses the second evaluation model to perform intelligent analysis on the project cost budget data to obtain the second evaluation result of price reasonableness.

[0150] Through the second evaluation model, the above technical solution enables the second evaluation unit to evaluate the actual project cost data by combining the project construction data and the enterprise management data, so that the target project can conduct a price reasonableness evaluation on the project construction situation during the project construction process, timely discover the project construction situation, provide guidance for the project construction, and at the same time can also provide a reference for construction enterprises to reasonably control the project cost, avoid abnormal actual costs during the project construction process, and effectively control the actual cost of the project implementation of the target project.

[0151] As Figure 8 shown, in an embodiment provided by the present invention, the third evaluation unit uses the third evaluation model to combine the actual project cost data with the project cost budget data for project implementation analysis to evaluate whether the project implementation progress is reasonable, including:

[0152] E1. Disassemble the project implementation nodes based on the target project for the project cost budget data to determine the budget data of the project implementation nodes;

[0153] E2. Analyze the project construction progress corresponding to the actual project cost data to determine the current project construction node;

[0154] E3. Screen the budget data of the project implementation nodes according to the current project construction node to obtain the budget data of the target project implementation node;

[0155] E4. Summarize based on the budget data of the target project implementation node to obtain the first evaluation data;

[0156] E5. Analyze and judge by combining the first evaluation data with the actual project cost data to determine whether the project implementation progress is reasonable and obtain the project implementation evaluation result.

[0157] In the above technical solution, when analyzing and judging by combining the first evaluation data with the actual project cost data, a harmonic factor is also combined for adjustment analysis, including:

[0158] Use the harmonic factor to perform positive adjustment and negative adjustment on the first evaluation data respectively to obtain the upper limit of the current evaluation data and the lower limit of the current evaluation data;

[0159] Analyze the actual project cost data according to the upper limit of the current evaluation data and the lower limit of the current evaluation data, judge the size relationship between the upper limit of the current evaluation data and the actual project cost data and judge the size relationship between the lower limit of the current evaluation data and the actual project cost data, and obtain the first evaluation result and the second evaluation result respectively;

[0160] When the first evaluation result is that the actual project cost data is not less than the lower limit of the current evaluation data, and the second evaluation result is that the actual project cost data is not greater than the upper limit of the current evaluation data, the project implementation progress is reasonable; otherwise, the project implementation progress is unreasonable.

[0161] In the above technical solution, the budget data of the target project implementation node can be one or multiple.

[0162] In the above technical solution, the third evaluation unit uses the third evaluation model to realize the intelligent analysis of project implementation by combining the actual project cost data with the project cost budget data.

[0163] In the above technical solution, the actual project cost data is combined with the project cost budget data through the third evaluation model for project implementation analysis, so as to clarify whether the project implementation progress is reasonable, so that construction enterprises can timely adjust during the project implementation according to the project implementation evaluation results, ensure the quality of the target project during the project implementation process, guide construction enterprises to reasonably control project cost expenses, and thus ensure the core competitiveness of the enterprise. Moreover, by disassembling the project implementation nodes for the project cost budget data based on the target project, the budget for each project construction node in the project implementation process is refined, and the prediction and allocation in the project implementation process are made public and transparent. Furthermore, analysis can be carried out according to the project implementation nodes, providing more intuitive evaluation data for the evaluation of the actual project cost data. And a harmonic factor is used to perform adjustment analysis in the analysis and judgment process, so that the first evaluation data is reasonably adjusted within a certain range, improving the feasibility of the analysis and judgment and providing guarantee for the project implementation evaluation results.

[0164] As Figure 9 shown, an embodiment of the present invention provides an AI-based project cost accounting and price reasonableness evaluation method, including:

[0165] Step 1: Determine the project engineering for cost accounting and lock the target project;

[0166] Step 2: Use AI assistance to perform cost budgeting for the target project to obtain project cost budget data;

[0167] Step 3: Obtain the target project implementation information according to the target project in the enterprise database;

[0168] Step 4: Perform big data analysis according to the target project implementation information, calculate the actual project cost, and obtain the actual project cost data;

[0169] Step 5: Combine the project cost budget data and the actual project cost data with the evaluation model to perform price reasonableness evaluation and obtain the price reasonableness evaluation result.

[0170] The above technical solution can achieve engineering cost accounting without human participation in data acquisition and calculation, saving labor consumption and avoiding accounting errors caused by human negligence. Moreover, the target project is locked through the project confirmation module, enabling supervision and analysis based on the target project, ensuring the orderliness of engineering cost accounting and price reasonableness evaluation, enabling the engineering cost accounting and price reasonableness evaluation system to conduct engineering cost accounting and price reasonableness evaluation for multiple project engineering in an orderly manner, reducing the data chaos degree of the engineering cost accounting and price reasonableness evaluation system. At the same time, the data acquisition module can retrieve data according to the target project without manual collection and input of data, improving the efficiency of data acquisition, thereby enhancing the efficiency of engineering cost accounting and price reasonableness evaluation. And in the cost accounting module, with AI assistance, not only can engineering cost accounting be achieved in a short time, but also calculation errors are not likely to occur, effectively ensuring the accuracy of engineering cost budget data and actual engineering cost data. In addition, the price reasonableness of the engineering cost budget data and actual engineering cost data is evaluated through the analysis and evaluation module to clarify whether the engineering cost budget data and actual engineering cost data are reasonable, so as to guide construction enterprises to reasonably control project cost expenses and thus ensure the core competitiveness of the enterprise.

[0171] Those skilled in the art should understand that the first, second, third, and fourth in the present invention only refer to different application stages.

[0172] After considering the specification and practice of the present disclosure, those skilled in the art will readily think of other embodiments of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include well-known knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and examples are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0173] It should be understood that the present disclosure is not limited to the exact structure already described and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. An AI-based engineering cost accounting and price rationality evaluation system, characterized in that, Including: A project confirmation module, a data acquisition module, a cost accounting module, and an analysis and evaluation module; The project confirmation module is used to determine the project works for cost accounting and lock the target project; The data acquisition module is used to acquire project implementation data in the enterprise database according to the target project to obtain target project implementation information; The cost accounting module is used to use AI assistance to perform cost budgeting for the target project to obtain project cost budget data, and perform big data analysis according to the target project implementation information to calculate the actual project cost and obtain the actual project cost data; The analysis and evaluation module is used to perform price reasonableness evaluation on the project cost budget data and the actual project cost data in combination with an evaluation model to obtain a price reasonableness evaluation result.

2. The engineering cost accounting and price rationality evaluation system according to claim 1, wherein When the cost accounting module uses AI assistance to perform cost budgeting for the target project, it sends a first accounting signal, and the data acquisition module retrieves project-related data for the target project in the enterprise database according to the first accounting signal to obtain the first target retrieval information; When the cost accounting module performs big data analysis according to the target project implementation information, it sends a second accounting signal according to the preset cost accounting rules for the project implementation process, and the data acquisition module retrieves project implementation data for the target project in the enterprise database according to the second accounting signal to obtain the second target retrieval information.

3. The engineering cost accounting and price rationality evaluation system according to claim 2, wherein, The cost accounting module includes: an overall budget unit and an actual calculation unit, The overall budget unit is used to use AI assistance to perform project cost prediction according to the first target retrieval information, obtain the estimated cost required for the target project to carry out project implementation, and obtain the project cost budget data; The actual calculation unit is used to perform big data analysis according to the second target retrieval information to calculate the actual project cost in the current project implementation stage and obtain the actual project cost data.

4. The engineering cost accounting and price rationality evaluation system according to claim 3, wherein When the overall budget unit uses AI assistance to perform project cost prediction according to the first target retrieval information, it constructs a project cost prediction model based on AI technology and performs project cost prediction on the first target retrieval information through the project cost prediction model, including: Performing project analysis on the target project to determine the composition of the target project costs; Determining the construction enterprise corresponding to the target project, and obtaining the historical cost data of the target project based on the construction enterprise according to the composition of the target project costs; Performing cost change prediction on the historical cost data of the target project to obtain the predicted cost of the target project; Calculating according to the predicted cost of the target project to obtain the project cost budget data.

5. The engineering cost accounting and price rationality evaluation system according to claim 3, characterized in that, When the actual calculation unit performs big data analysis according to the second target retrieval information, it uses an artificial intelligence analysis model to perform big data analysis on the second target retrieval information, including: Determining the retrieval time of the second target retrieval information, and obtaining the second target retrieval information corresponding to the previous retrieval time based on the retrieval time to obtain the target retrieval information at the previous moment; Combining the second target retrieval information with the target retrieval information at the previous moment for data analysis to determine whether the information has changed and obtain a data analysis result; Retrieve information for the second target according to the data analysis results for screening, and obtain the first screening result and the second screening result; Perform cost calculation for the first screening result to obtain the first cost data at the current project implementation stage; Based on the second screening result, perform calculation data reference retrieval for the information retrieved for the target at the previous moment to obtain the second cost data at the current project implementation stage; Obtain the actual project cost data according to the first cost data at the current project implementation stage and the second cost data at the current project implementation stage.

6. The engineering cost accounting and price rationality evaluation system according to claim 1, wherein The analysis and evaluation module includes: a first evaluation unit, a second evaluation unit, and a third evaluation unit; The first evaluation unit is used to evaluate the price reasonableness of the project cost budget data using the first evaluation model to obtain the first price reasonableness evaluation result; The second evaluation unit is used to evaluate the price reasonableness of the actual project cost data using the second evaluation model to obtain the second price reasonableness evaluation result; The third evaluation unit is used to use the third evaluation model to combine the actual project cost data with the project cost budget data for project implementation analysis to evaluate whether the project implementation progress is reasonable and obtain the project implementation evaluation result.

7. The engineering cost accounting and price rationality evaluation system according to claim 6, characterized in that, The first evaluation unit uses the first evaluation model to evaluate the price reasonableness of the project cost budget data, including: Obtain the competitor's quotation data based on the target project to obtain the competitor's quotation data, and combine the project cost budget data with the competitor's quotation data for evaluation to obtain the first evaluation data; Obtain historical project data based on the target project, and evaluate the project cost budget data according to the historical project data to obtain the second evaluation data; Integrate the first evaluation data and the second evaluation data to obtain the first price reasonableness evaluation result.

8. The engineering cost accounting and price rationality evaluation system according to claim 6, characterized in that The second evaluation unit uses the second evaluation model to evaluate the price reasonableness of the actual project cost data, including: Analyze the actual project cost data and divide it into the first actual cost data and the second actual cost data according to the composition of the actual project cost data; Determine the corresponding construction nodes of the target project during the project construction process for the actual project cost data to obtain the current construction node; Based on the current construction node, combine the project cost budget data to perform project construction data and enterprise management data analysis respectively to obtain the first analysis data and the second analysis data; Evaluate the first actual cost data according to the first analysis data to obtain the third evaluation data, and evaluate the second actual cost data according to the second analysis data to obtain the fourth evaluation data; Integrate the third evaluation data and the fourth evaluation data to determine the second price reasonableness evaluation result.

9. The engineering cost accounting and price rationality evaluation system according to claim 6, wherein The third evaluation unit uses the third evaluation model to combine the actual project cost data with the project cost budget data for project implementation analysis to evaluate whether the project implementation progress is reasonable, including: Decompose the project implementation nodes for the project cost budget data based on the target project to determine the budget data of the project implementation nodes; Analyze the project construction progress corresponding to the actual project cost data to determine the current project construction node; Screen the budget data for the project implementation nodes according to the construction nodes of the current project to obtain the budget data for the target project implementation nodes; Summarize based on the budget data of the target project implementation nodes to obtain the first evaluation data; Analyze and judge by combining the first evaluation data with the actual project cost data to determine whether the project implementation progress is reasonable and obtain the project implementation comment result.

10. An AI-based engineering cost accounting and price rationality evaluation method, characterized in that, Including: Determine the project works for which cost accounting is to be carried out and lock in the target works; Use AI assistance to make a cost budget for the target works to obtain the project cost budget data; Obtain the target project implementation information by retrieving the project implementation data of the target works from the enterprise database; Conduct big data analysis based on the target project implementation information to calculate the actual project cost and obtain the actual project cost data; Carry out a price reasonableness comment on the project cost budget data and the actual project cost data in combination with the comment model to obtain the price reasonableness comment result.

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