Project cost database platform based on AI intelligent identification and use method

Abstract

The invention relates to the technical field of engineering cost based on AI, in particular to an engineering cost database platform based on AI intelligent identification and a use method, and by arranging the engineering cost database platform based on AI intelligent identification comprising a measurement and calculation and AI module and an interactive display module, precipitation and index analysis can be carried out on measurement and calculation data, and the calculation and calculation efficiency is improved. And through data matching, the data in the list can be automatically compared, and the tedious work of manual comparison is avoided. By setting a database, an index library and a material price library, project cost data, including a standard list, project amount data and market price data, of already-completed construction projects of an enterprise can be collected and sorted, and then various indexes influencing the construction project cost are abstracted from the project cost data; and the method is used in the cost consultation service to realize rapid measurement and calculation of the cost of the project to be constructed, and assists the whole process cost management and control of the construction project at the same time; and finally, continuous improvement of the cost consultation service value is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering cost based on AI, and specifically, it is an engineering cost database platform based on AI intelligent recognition and its usage method. Background Art

[0002] Engineering cost refers to the construction price of a project, which is the total cost required for the construction, expected or actual completion of a project, and provides an important basis for evaluating the rationality of the total investment, sub-investments, and investment benefits.

[0003] Compared with industries such as finance, insurance, and banking, the overall digital development speed of the engineering cost and engineering cost consulting industries is slow and at a low level. At the same time, the business in the engineering cost and engineering cost consulting industries has long been mainly focused on measurement and pricing, and the overall homogenized competition is serious.

[0004] Meanwhile, Chinese Patent Publication No. CN108921508A discloses a whole-process engineering cost management system, which provides a management system that can quickly calculate the engineering cost and generate an engineering cost report when the on-site situation does not match the design and design changes are required. In its specific implementation, it requires manual verification and calculation of the database and external cloud data, and it can only achieve the functions of data storage and system framework, and cannot achieve advanced functions such as data precipitation index analysis. Summary of the Invention

[0005] The purpose of the present invention is to provide an engineering cost database platform based on AI intelligent recognition and its usage method for the above-mentioned existing problems.

[0006] The technical solution adopted by the present invention is as follows. An engineering cost database platform based on AI intelligent recognition includes a measurement and AI module and an interactive display module;

[0007] The measurement and AI module is used to store engineering cost data, calculate the measurement requests sent by the interactive display module, and precipitate and analyze the measurement data.

[0008] The interactive display module is used to receive the cost measurement requests initiated by users and display the results processed by the measurement and AI module.

[0009] Optionally, the measurement and AI module includes an AI intelligent recognition module, a cost measurement module, a processing and display module, a database, an index library, and a material price library;

[0010] The database is used to store engineering construction data and projects to be measured, and update the stored content within a set time sequence;

[0011] The index library is used to store engineering index models and update the stored content within a set time series;

[0012] The material price library is used to store engineering material classifications, engineering material prices, and engineering material supplier information, and update the stored content within a set time series;

[0013] The cost calculation module calculates the engineering construction cost based on the data in the database, index library, and material price library, and sends the calculation result to the processing and display module;

[0014] The AI intelligent recognition module automatically recognizes the list composed of the material price library and the database and maps it to the data in the index library;

[0015] The processing and display module processes the calculation result and distributes it to the interactive display module.

[0016] Optionally, the engineering construction data includes foundation pit maintenance earthwork engineering data, fine decoration engineering data, building engineering data, structural engineering data, curtain wall engineering data, and IB engineering data;

[0017] The project to be calculated includes labor and material specifications / practices configuration, technical indicators, and economic indicators.

[0018] Optionally, the engineering index model includes a correlation index model, an economic index model, and a technical index model.

[0019] Optionally, the cost calculation module performs general model calculation, special calculation, summary calculation, standard cost calculation, and allocation calculation.

[0020] Optionally, the cost calculation module conducts comparisons between different projects, different stages, and special comparisons, and performs data analysis on the comparison results and deposits and feeds back the results to the database.

[0021] Optionally, the AI intelligent recognition module automatically traverses the list composed of the material price library and the database within a set time series, identifies the index data therein, maps the index data to the index library, and simultaneously sends it to the cost calculation module.

[0022] Optionally, the interactive display module includes a comprehensive management port, a cost management port, and an OA office port;

[0023] The cost management port is used to receive cost calculation requests initiated by users and display the cost-related content of the calculation results fed back by the processing and display module;

[0024] The comprehensive management port is used to display the management-related content of the calculation results fed back by the processing and display module;

[0025] The OA office port is used to display the content related to OA in the measurement results fed back by the processing display module.

[0026] This application also provides a usage method for an engineering cost database platform based on AI intelligent recognition, aiming at the measurement and AI module side, including the following steps:

[0027] The cost measurement module receives the measurement request initiated by the interactive display module, processes the measurement request based on the data in the database, index library, and material price library, and feeds the processed result back to the processing display module;

[0028] The database provides engineering construction data and items to be accounted for to the cost measurement module and the AI intelligent recognition module;

[0029] The index library provides engineering index models to the cost measurement module and the AI intelligent recognition module;

[0030] The material price library provides engineering material classification, engineering material prices, and engineering material supplier information to the cost measurement module and the AI intelligent recognition module;

[0031] After the cost measurement module receives the measurement request initiated by the interactive display module, the AI intelligent recognition module traverses the list composed of the material price library and the database, performs automatic recognition, maps with the data in the index library, analyzes the mapped data, and sends it to the cost measurement module;

[0032] After receiving the data fed back by the cost measurement module, the processing display module disassembles the data and sends it to each module in the interactive display module for display according to the content.

[0033] This application also provides a usage method for an engineering cost database platform based on AI intelligent recognition, aiming at the interactive display module side, including the following steps:

[0034] After receiving the cost measurement request proposed by the user, the cost management port feeds the request content back to the cost measurement module. After receiving the measurement result data sent by the processing display module, the cost management port performs measurement result display;

[0035] After receiving the management result data sent by the processing display module, the comprehensive management port performs management result display;

[0036] After receiving the OA result data sent by the processing display module, the OA office port performs OA office result display.

[0037] The beneficial effects of the present invention at least include one of the following;

[0038] 1. By setting up an engineering cost database platform based on AI intelligent recognition that includes a measurement and AI module and an interactive display module, it can achieve the precipitation and index analysis of measurement data, and through data matching, it can automatically compare the data in the list, avoiding the cumbersome work of manual comparison.

[0039] 2. By setting up a database, an index library, and a material price library, it can collect and organize the engineering cost data of the completed construction projects already owned by the enterprise, including standard lists, engineering quantity data, and market price data, and then abstract various indicators that affect the cost of construction projects from them, and use them in cost consulting services to achieve a rapid measurement of the cost of the to-be-built project, while assisting in the whole-process cost control of the construction project: ultimately, continuously improve the value of cost consulting services. Description of the Drawings

[0040] Figure 1 It is a schematic diagram of the framework of an engineering cost database platform based on AI intelligent recognition;

[0041] Figure 2 It is a framework diagram of the AI intelligent recognition module;

[0042] Figure 3 It is a framework diagram of the platform operation;

[0043] Figure 4 It is a relationship diagram of the material price library and the index library. Detailed Embodiments

[0044] To make the purpose, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Usually, the components of the embodiments of the present invention described and shown in the accompanying drawings here can be arranged and designed in various different configurations.

[0045] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0046] It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0047] As Figure 1 shown, an engineering cost database platform based on AI intelligent recognition includes a measurement and AI module and an interactive display module;

[0048] The measurement and AI module is used to store project cost data, measure the measurement requests sent by the interactive display module, and precipitate and analyze the measurement data by indicators;

[0049] The interactive display module is used to receive the cost measurement requests initiated by users and display the results processed by the measurement and AI module.

[0050] The purpose of such a design is that by setting up a project cost database platform based on AI intelligent recognition that includes a measurement and AI module and an interactive display module, it can achieve the precipitation and index analysis of measurement data, and through data matching, it can automatically compare the data in the list, avoiding the cumbersome work of manual comparison.

[0051] Meanwhile, in this embodiment, the measurement and AI module is provided, which includes an AI intelligent recognition module, a cost measurement module, a processing and display module, a database, an index library, and a material price library;

[0052] The database is used to store project construction data and projects to be measured, and update the stored content within a set time sequence;

[0053] The index library is used to store project index models and update the stored content within a set time sequence;

[0054] The material price library is used to store engineering material classifications, engineering material prices, and engineering material supplier information, and update the stored content within a set time sequence;

[0055] The cost measurement module measures the project construction cost based on the data in the database, index library, and material price library, and sends the measurement results to the processing and display module;

[0056] The AI intelligent recognition module automatically identifies the list composed of the material price library and the database and maps it to the data in the index library;

[0057] The processing and display module processes the measurement results and distributes them to the interactive display module.

[0058] Meanwhile, the project construction data includes foundation pit maintenance earthwork project data, fine decoration project data, building project data, structural project data, curtain wall project data, and IB project data;

[0059] The projects to be measured include labor and material specifications / practice configurations, technical indicators, and economic indicators.

[0060] Furthermore, the project index models include correlation index models, economic index models, and technical index models.

[0061] Meanwhile, the cost calculation module conducts general model calculation, special calculation, summary calculation, standard cost calculation, and allocation calculation.

[0062] Furthermore, the cost calculation module conducts comparisons among different projects, at different stages, and for special items, and analyzes the comparison results, depositing and feeding back the data to the database.

[0063] The purpose of such a design is that by setting up a database, an index library, and a material price library, it is possible to collect and organize the project cost data of the completed construction projects of the enterprise, including standard bills of quantities, engineering quantity data, and market price data, and then abstract various indicators that affect the construction project cost from them, and use them in the cost consulting business to achieve rapid calculation of the cost of the to-be-built project, while assisting in the whole-process cost control of the construction project: ultimately, continuously enhancing the value of the cost consulting business.

[0064] Meanwhile, as Figure 2 shown, the AI intelligent recognition module automatically traverses the list composed of the material price library and the database within the set time sequence, recognizes the index data therein, maps the index data with the index library, and sends it to the cost calculation module at the same time.

[0065] In a specific usage scenario, the AI intelligent recognition module can rely on an existing AI model among ChatGPT, DeepSeek, and kimi. During specific implementation, first, the project cost list data to be mapped is preliminarily cleaned and preprocessed;

[0066] Then, based on the natural language and image recognition framework built into the AI model, the text and pictures in the project cost list data to be mapped are automatically recognized and extracted;

[0067] Next, based on the data matching algorithm built into the AI model, it is compared whether the text or picture in the project cost list data to be mapped is consistent with the requirements. If not, the content is marked;

[0068] Finally, the results of the mapping are statistically analyzed, the data that meet the requirements are counted, and a report or chart is generated and sent to the cost calculation module.

[0069] It should be noted that, in order to achieve necessary functions, the AI intelligent recognition module used in this embodiment is built-in with a data acquisition unit, a data recognition unit, a data matching unit, and a data statistics unit. At the same time, for the subsequent retraining of the AI intelligent recognition module, it is usually also built-in with a data preparation unit, a feature extraction unit, and a model retraining unit, which can use deep learning models for retraining to identify different index data in the list required for project cost estimation. And this kind of model retraining unit usually includes existing network models such as convolutional neural networks, recurrent neural networks, long short-term memory networks, and bidirectional long short-term memory networks.

[0070] In this embodiment, the interactive display module includes a comprehensive management port, a cost management port, and an OA office port;

[0071] The cost management port is used to receive the cost estimation request initiated by the user and display the content related to the cost in the estimation result feedback by the processing display module;

[0072] The comprehensive management port is used to display the content related to management in the estimation result feedback by the processing display module;

[0073] The OA office port is used to display the content related to OA in the estimation result feedback by the processing display module.

[0074] In this embodiment, a method for using a project cost database platform based on AI intelligent recognition is also provided based on a project cost database platform based on AI intelligent recognition. Taking the cost estimation with the AI module end as the entry, it includes the following steps:

[0075] The cost estimation module receives the estimation request initiated by the interactive display module, processes the estimation request based on the data in the database, the index library, and the material price library, and feeds the processed result back to the processing display module;

[0076] The database provides project construction data and items to be accounted for to the cost estimation module and the AI intelligent recognition module;

[0077] The index library provides engineering index models to the cost estimation module and the AI intelligent recognition module;

[0078] The material price library provides engineering material classification, engineering material prices, and engineering material supplier information to the cost estimation module and the AI intelligent recognition module;

[0079] After the cost estimation module receives the estimation request initiated by the interactive display module, the AI intelligent recognition module traverses the list composed of the material price library and the database, performs automatic recognition, maps with the data in the index library, analyzes the mapped data, and sends it to the cost estimation module;

[0080] After receiving the data fed back by the cost calculation module, the processing display module disassembles the data and sends it to each module in the interactive display module for display according to the content.

[0081] Specific operation forms, such as Figure 3 As shown, taking data cycling as an example, the cost calculation module is based on the foundation pit maintenance earthwork project data, fine decoration project data, building project data, structural project data, curtain wall project data, and IB project data in the database, and quotes information such as the labor and material specifications / practices configuration, project basic information, and project format in the index library for calculation. Then, combined with the engineering material classification, engineering material prices, and engineering material supplier information in the material price library, the calculation is completed from multiple dimensions such as general models, special projects, and summaries. At this time, the AI intelligent recognition module identifies and compares and analyzes the calculation results, analyzes the comparison between different projects, different stages, and special projects, and then precipitates these comparison results in the form of data and feeds them back to the database to form a closed loop.

[0082] On the basis of this closed loop, the AI intelligent recognition module can also optimize the index model after analysis, and establish rules for data precipitation and data reference to assist in the establishment of projects.

[0083] Furthermore, after optimizing the indicators and calculation subjects, manage the basic data to empower the project establishment.

[0084] Such as Figure 4 As shown, the relationship between the material price library and the index library in this embodiment is provided. Among them, based on the data form in the material price library, the data is deeply processed to obtain a list. For example, based on data such as material classification, information price, market price, and Party A's centralized procurement price, enterprise list data, national standard list data, etc. are compiled. On the one hand, these data can be mapped and managed with the relevant indicators and engineering quantity indicators in the index library, and on the other hand, they can be analyzed to obtain material trends, comprehensive costs, etc.

[0085] Furthermore, the index library can also assist the cost calculation module in cost calculation. When performing cost calculation, it usually includes project overview, project private subjects, project basic data, estimation details, data reports, etc. These contents can be obtained based on the economic indicators, engineering quantity indicators, relevant indicators, and construction standard indicators in the index library. After obtaining these costs, calculations such as regional management, personnel management, and overall data reference of the format can be performed, and then fed back to the index library to adjust the full-library content keyword indexing, index summary, etc.

[0086] Meanwhile, when conducting data analysis, for the material price database, it can perform material trend analysis, comprehensive cost analysis, etc. For the indicator database, it can perform comprehensive economic indicator analysis, engineering quantity indicator comparison analysis, etc. For cost estimation, it can also perform version analysis, data traceability, variance analysis, etc.

[0087] In this embodiment, a method for using a project cost database platform based on AI intelligent recognition is also provided based on a project cost database platform based on AI intelligent recognition. For the interactive display module end, it includes the following steps:

[0088] After receiving the cost estimation request proposed by the user, the cost management port feeds the request content back to the cost estimation module. After receiving the measurement result data sent by the processing display module, the cost management port performs measurement result display;

[0089] After receiving the management result data sent by the processing display module, the comprehensive management port performs management result display;

[0090] After receiving the OA result data sent by the processing display module, the OA office port performs OA office result display.

[0091] The purpose of such a design is that usually, the data processed by the processing display module includes the measurement results required by the user, as well as the supporting data related to OA office and the data related to management measurement results. These data are displayed in pages through different ports.

[0092] Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An engineering cost database platform based on AI intelligent identification, characterized in that: Including calculation and AI modules and interactive display modules; The calculation and AI module is used to store engineering cost data, calculate the calculation request sent by the interactive display module, and precipitate and analyze the calculated data; The interactive display module is used to receive cost estimation requests initiated by users and display the results of the estimation and AI module processing.

2. According to the AI ​​intelligent identification-based engineering cost database platform of claim 1, it is characterized in that: The calculation and AI module includes an AI intelligent recognition module, a cost calculation module, a processing and display module, a database, an index library and a material price library; The database is used to store engineering construction data and items to be measured, and to update the stored content within a set time sequence; The index library is used to store the engineering index model and update the stored content within a set time sequence; The material price database is used to store engineering material classification, engineering material prices, engineering material supplier information, and update the stored content within a set time sequence; The cost calculation module calculates the construction cost based on the data in the database, the index database and the material price database, and sends the calculation result to the processing and display module; The AI ​​intelligent recognition module automatically identifies the list consisting of the material price library and the database and maps it with the data in the indicator library; The processing and display module processes the measurement results and distributes them to the interactive display module.

3. According to claim 2, the engineering cost database platform based on AI intelligent identification is characterized in that: The engineering construction data includes foundation pit maintenance earthwork engineering data, fine decoration engineering data, building engineering data, structural engineering data, curtain wall engineering data, and IB engineering data; The items to be measured include material specifications / practice configurations, technical indicators, and economic indicators.

4. The engineering cost database platform based on AI intelligent identification according to claim 2 is characterized in that: The engineering index model includes a correlation index model, an economic index model and a technical index model.

5. The engineering cost database platform based on AI intelligent identification according to claim 2 is characterized in that: The cost calculation module performs general model calculation, special calculation, summary calculation, standard cost calculation and apportionment calculation.

6. The engineering cost database platform based on AI intelligent identification according to claim 5 is characterized in that: The cost estimation module compares different projects, different stages and special projects, and performs data analysis on the comparison results, and feeds them back to the database.

7. The engineering cost database platform based on AI intelligent identification according to claim 2 is characterized in that: The AI ​​intelligent recognition module automatically traverses the list consisting of the material price library and the database within the set time sequence, identifies the indicator data therein, maps the indicator data with the indicator library, and sends it to the cost estimation module at the same time.

8. The engineering cost database platform based on AI intelligent identification according to claim 2 is characterized in that: The interactive display module includes a comprehensive management port, a cost management port and an OA office port; The cost management port is used to receive a cost calculation request initiated by a user and to display the cost content related to the calculation result fed back by the processing and display module; The comprehensive management port is used to display the management content related to the measurement results fed back by the processing and display module; The OA office port is used to display the OA content related to the calculation results fed back by the processing display module.

9. A method for using an engineering cost database platform based on AI intelligent identification, which is implemented based on an engineering cost database platform based on AI intelligent identification as claimed in any one of claims 2 to 7, characterized in that: For the calculation and AI module side, the following steps are included: The cost calculation module receives the calculation request initiated by the interactive display module, processes the calculation request based on the data in the database, the index library and the material price library, and feeds back the processed result to the processing and display module; The database provides engineering construction data and items to be calculated to the cost calculation module and the AI ​​intelligent recognition module; The index library provides engineering index models to the cost estimation module and the AI ​​intelligent identification module; The material price database provides engineering material classification, engineering material prices and engineering material supplier information to the cost estimation module and the AI ​​intelligent identification module; After the cost calculation module receives the calculation request initiated by the interactive display module, the AI ​​intelligent recognition module traverses the list composed of the material price library and the database, automatically identifies and maps with the data in the indicator library, analyzes the mapped data, and sends it to the cost calculation module; After receiving the data fed back by the cost estimation module, the processing and display module disassembles the data and sends the data to each module in the interactive display module for display according to the content.

10. A method for using an engineering cost database platform based on AI intelligent identification, implemented based on the engineering cost database platform based on AI intelligent identification according to claim 8, characterized in that: For the interactive display module, the following steps are included: After receiving the cost calculation request from the user, the cost management port feeds back the request content to the cost calculation module. After receiving the calculation result data sent by the processing and display module, the cost management port displays the calculation result. The integrated management port displays the management result after receiving the management result data sent by the processing and display module; The OA office port displays the OA office result after receiving the OA result data sent by the processing and display module.

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