Intelligent project cost data management system

Through an intelligent engineering cost data management system, data collection, approval and BIM technology are used to solve the problem that traditional systems cannot respond in real time, and efficient management and intelligent analysis of engineering cost data are realized, and real-time and reliability of management are improved. sex.

CN119273305AActive Publication Date: 2025-01-07HAINAN VOCATIONAL COLLEGE OF SCI & TECH
View PDF 4 Cites 0 Cited by

Patent Information

Application Number
CN202411425316.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-12
Publication Date
2025-01-07
Estimated Expiration
2044-10-12

AI Technical Summary

Technical Problem

Traditional engineering cost management systems lack dynamic response capabilities to real-time changes, resulting in uncertainty in engineering cost management and it is difficult to adapt to the rapid development and information needs of complex engineering projects.

Method used

An intelligent engineering cost data management system is proposed, including data acquisition module, three-party approval module and engineering management module. The engineering management model is constructed through BIM technology, and engineering cost data is obtained and analyzed in real time, and intelligent processing and approval are carried out.

Benefits of technology

It improves the real-time and reliability of engineering cost data management, enhances the intelligence level of engineering management, and meets the needs of modern construction projects for engineering cost data management.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119273305A_ABST
    Figure CN119273305A_ABST
Patent Text Reader

Abstract

The invention provides an intelligent project cost data management system. The system comprises a data acquisition module, a three-party approval module, a project management module and an intelligent analysis module. Wherein the data acquisition module is used for acquiring project cost data; the three-party approval module is used for performing approval according to the obtained project cost data to obtain a project cost approval result, and recording the related project cost data and the approval result into a project cost data management log; the project management module is used for constructing a project management model based on a BIM technology according to the construction project information, and integrating project cost data passing the audit into the project management model to update related data; and the intelligent analysis module is used for carrying out intelligent analysis on the project cost data based on the constructed project management model to obtain a project cost analysis result, and integrating the project cost analysis result into the project management model. According to the invention, the effect and the intelligent level of project cost data management can be improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The invention relates to the technical field of engineering cost management, in particular to an intelligent engineering cost data management system. Background Art

[0002] In modern construction projects, efficient and accurate engineering cost data management is crucial. Traditional engineering cost management methods usually rely on manual collection, organization and analysis of data, which has problems such as delayed data acquisition, low analysis efficiency and difficulty in sharing information, making it difficult to adapt to the rapid development and information needs of complex engineering projects.

[0003] The existing construction cost management system is mainly limited to static data processing and lacks the ability to dynamically respond to real-time changes. For example, market price fluctuations, budget adjustments and other factors will have an impact on construction costs, and traditional systems cannot capture and process these changes in a timely manner, resulting in many uncertainties in construction cost management, which affects the effectiveness of managers in project construction cost management. Summary of the invention

[0004] In view of the above problems, the present invention aims to provide an intelligent engineering cost data management system.

[0005] The purpose of the present invention is achieved by the following technical solutions:

[0006] The present invention proposes an intelligent engineering cost data management system, comprising: a data acquisition module, a tripartite approval module, an engineering management module and an intelligent analysis module; wherein:

[0007] The data acquisition module is used to obtain engineering cost data, which includes labor prices, material prices, machinery prices, etc.

[0008] The three-party approval module is used to approve the acquired engineering cost data, obtain the engineering cost approval result, and record the relevant engineering cost data and approval result in the engineering cost data management log;

[0009] The project management module is used to build a project management model based on BIM technology according to the construction project information, and integrate the approved project cost data into the project management model to update the relevant data;

[0010] The intelligent analysis module is used to perform intelligent analysis on the engineering cost data based on the constructed engineering management model, obtain the engineering cost analysis results, and integrate the engineering cost analysis results into the engineering management model.

[0011] Preferably, the data acquisition module includes a designated acquisition unit and a channel acquisition unit;

[0012] The designated acquisition unit is used to interactively connect with a preset data port, and acquire the real-time designated engineering cost data from the designated data source through the data port;

[0013] The channel acquisition unit is used to obtain quotation information provided by users and extract corresponding engineering cost data based on the quotation information. Users include owners, engineering construction parties and suppliers, etc. The quotation information provided includes project, parameters, price and introduction information.

[0014] Preferably, the designated acquisition unit includes an interface unit and a capture unit;

[0015] The interface unit is used to set the corresponding data source for the specified engineering cost project, and establish a data interaction connection with the corresponding data source after completing the interface authorization, so that the specified acquisition unit can access the corresponding data source;

[0016] The capture unit is used to capture relevant data of the specified engineering cost items from the data source through data capture technology.

[0017] Preferably, the channel acquisition unit includes a form unit and a record unit;

[0018] The form unit is used by the user to generate a quotation form for a specified engineering cost project, complete the quotation form according to the relevant information of the specified engineering cost project, and submit the quotation form to the three-party approval module; the quotation form includes the engineering cost form provider, project, parameters, unit price, quantity and introduction information; the introduction information includes image recording information and voice recording information;

[0019] The recording unit is used for users who submit quotation forms to upload corresponding introduction information, wherein the introduction information includes image recording information and voice recording information for engineering cost items.

[0020] Preferably, the three-party approval module includes an owner approval unit, a construction approval unit, a project management approval unit and a recording unit;

[0021] The owner approval unit is used for the owner user to review the provided quotation information and obtain the owner's approval result;

[0022] The construction party approval unit is used for the construction party user to review the parameters in the provided quotation information and obtain the construction party's approval result;

[0023] The project management party approval unit is used for the project management user to review the quotation information in the provided quotation information and obtain the project management party's approval result;

[0024] The recording unit is used to record the relevant engineering cost data and approval results into the engineering cost data management log.

[0025] Preferably, the engineering management module includes a knowledge base unit, a model building unit and an update unit;

[0026] The knowledge base unit is used to obtain knowledge data related to engineering cost and build an engineering cost knowledge base;

[0027] The model building unit is used to build a project management model based on BIM technology according to the construction project information; the project management model is provided with building environment data, building structure data, building construction data, full-process construction data, cost budget data and acceptance data, etc.;

[0028] The updating unit is used to update the relevant data based on the engineering cost data that has been approved and integrated into the engineering management model.

[0029] Preferably, the intelligent analysis module includes a statistical analysis unit

[0030] The statistical unit is used to classify, count, estimate and analyze the construction project cost data based on the project management model to obtain the project cost statistical analysis results; the project cost statistical analysis results include node-by-node estimation, budget and settlement data of labor costs, material costs, construction costs, equipment costs, etc.

[0031] Preferably, the system also includes a project display module for visually displaying the project management model.

[0032] The beneficial effects of the present invention are as follows: the present invention proposes an intelligent engineering cost data management system for construction projects, which can acquire relevant engineering cost data involved in construction projects from data sources in real time through a data acquisition module, wherein the acquired engineering cost data can be approved by a tripartite approval module based on the acquired relevant quotation data to determine the specific project or scheme to be adopted, and can effectively make corresponding adjustments to the real-time changes of the cost data, thereby improving the real-time level of engineering cost data management. At the same time, based on the tripartite approval method, it is confirmed that the corresponding scheme or project is finally selected according to the engineering cost, which can effectively improve the reliability and management level of the overall management of the project. Through the engineering management module, an engineering management model is constructed based on the construction project, and relevant cost / quotation data is integrated into the engineering management model, which can carry out the whole process and overall engineering cost management of the construction project based on BIM technology, and at the same time, the engineering management model is intelligently analyzed based on the intelligent analysis module, effectively improving the intelligent level and management level of the engineering cost for the construction project, effectively improving the effect and intelligent level of engineering cost data management, and meeting the needs of modern construction projects for engineering cost data management. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0034] Figure 1 This is a framework diagram of an intelligent engineering cost data management system shown in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The present invention is further described in conjunction with the following application scenarios.

[0036] See also Figure 1 The embodiment shows an intelligent engineering cost data management system, including: a data acquisition module, a tripartite approval module, a project management module and an intelligent analysis module; wherein,

[0037] The data acquisition module is used to obtain engineering cost data, which includes labor prices, material prices, machinery prices, etc.

[0038] The three-party approval module is used to approve the acquired engineering cost data, obtain the engineering cost approval result, and record the relevant engineering cost data and approval result in the engineering cost data management log;

[0039] The project management module is used to build a project management model based on BIM technology according to the construction project information, and integrate the approved project cost data into the project management model to update the relevant data;

[0040] The intelligent analysis module is used to perform intelligent analysis on the engineering cost data based on the constructed engineering management model, obtain the engineering cost analysis results, and integrate the engineering cost analysis results into the engineering management model.

[0041] The above-mentioned implementation mode of the present invention proposes an intelligent engineering cost data management system for construction projects, which can obtain the relevant engineering cost data involved in the construction project from the data source in real time through the data acquisition module, wherein the obtained engineering cost data can be approved by the three-party approval module based on the relevant quotation data obtained to determine the specific project or scheme to be adopted, and can effectively make corresponding adjustments to the real-time changes of the cost data, thereby improving the real-time level of engineering cost data management. At the same time, based on the three-party approval method, it is confirmed that the corresponding scheme or project is finally selected according to the engineering cost, which can effectively improve the reliability and management level of the overall management of the project. Through the engineering management module, an engineering management model is constructed based on the construction project, and the relevant cost / quotation data is integrated into the engineering management model, which can carry out the whole process and overall engineering cost management of the construction project based on BIM technology, and at the same time, the engineering management model is intelligently analyzed based on the intelligent analysis module, effectively improving the intelligent level and management level of the engineering cost for the construction project, effectively improving the effect and intelligent level of engineering cost data management, and meeting the needs of modern construction projects for engineering cost data management.

[0042] Among them, the system of the present invention can be built based on a server or intelligent terminal built for a single construction project, and can also be built based on data processing terminals such as cloud servers. The present invention does not make specific limitations here.

[0043] Preferably, the system also includes a project display module for visually displaying the project management model.

[0044] The engineering management model includes building environment data, building structure data, construction data, full-process construction data, cost budget data and acceptance data.

[0045] Through the project display module, the project management model can be visualized, which allows managers or users to have an intuitive and detailed understanding of the entire process of the construction project and related project cost data. It is also convenient for managers or owner users to comprehensively control and manage the cost information of the construction project based on the project management model, thereby improving the management level of project cost data.

[0046] Preferably, the data acquisition module includes a designated acquisition unit and a channel acquisition unit;

[0047] The designated acquisition unit is used to interactively connect with a preset data port, and acquire the real-time designated engineering cost data from the designated data source through the data port;

[0048] The channel acquisition unit is used to obtain quotation information provided by users and extract corresponding engineering cost data based on the quotation information. Users include owners, engineering construction parties and suppliers, etc. The quotation information provided includes project, parameters, price and introduction information.

[0049] Among them, data sources include supplier servers, third-party trading platforms, human resources platforms, etc.

[0050] According to the actual situation of the construction plan of the construction project, the relevant cost data in the construction project (such as labor cost, equipment cost, key material cost, etc.) can be associated, and the corresponding data source can be specified for the price data of the relevant projects, so that the system can automatically extract the price data of the relevant projects from the specified data source to complete the automatic update of the engineering cost data of the relevant projects. Based on the updated engineering cost data, the relevant data in the engineering management model is updated in real time, and the corresponding engineering cost budget, estimate and other data are also updated synchronously, which effectively improves the real-time performance of engineering cost data management.

[0051] Among them, for projects with designated data sources, once the data source designation and authorization are completed, the approval of the project data is considered completed. When the relevant data in the data source changes, the quotation data of the relevant project is automatically updated.

[0052] In one scenario, for key materials needed in construction projects (such as cement, steel bars, etc.), the system is connected to the online quotation system of the corresponding supplier, and the price information of the corresponding key materials is extracted from the online quotation system through a designated unit, and the price data of the corresponding materials is updated according to the extracted price information.

[0053] Preferably, the designated acquisition unit includes an interface unit and a capture unit;

[0054] The interface unit is used to set the corresponding data source for the specified engineering cost project, and establish a data interaction connection with the corresponding data source after completing the interface authorization, so that the specified acquisition unit can access the corresponding data source;

[0055] The capture unit is used to capture relevant data of the specified engineering cost items from the data source through data capture technology.

[0056] For data such as raw material data or labor cost data, they can be connected to the corresponding data source through a data interface, and the corresponding raw material data, labor cost data, equipment-related data, etc. can be obtained from the data source (such as supplier websites, third-party sales platforms, human resources systems, etc.) through data capture technology, which facilitates the timely updating of engineering cost data and improves the level of intelligence in data acquisition.

[0057] Preferably, the channel acquisition unit includes a form unit and a record unit;

[0058] The form unit is used by the user to generate a quotation form for a specified engineering cost project, complete the quotation form according to the relevant information of the specified engineering cost project, and submit the quotation form to the three-party approval module; the quotation form includes the engineering cost form provider, project, parameters, unit price, quantity and introduction information; the introduction information includes image recording information and voice recording information;

[0059] The recording unit is used for users who submit quotation forms to upload corresponding introduction information, wherein the introduction information includes image recording information and voice recording information for engineering cost items.

[0060] Among them, for the engineering price information finalized face-to-face between users, the relevant engineering price item information can be manually uploaded and entered through the form recording unit, and the quotation form can be submitted to the system, which can meet the needs of engineering cost information entry in various situations and improve the convenience of system use. Among them, in order to facilitate the subsequent multi-user review and confirmation of the entered engineering cost information, it is necessary to upload corresponding introduction information when submitting the engineering cost form to further verify and introduce the authenticity of the submitted quotation form, so as to improve the integrity and authenticity of the quotation form record.

[0061] In one scenario, for the relevant forms submitted for the purchase of construction materials, after completing the quotation form for the purchase of construction materials, the construction purchaser will fill in the relevant rental information in the form, and further record the corresponding quotation contract image information and the voice introduction information of the corresponding person in charge in the corresponding form information through the recording unit. In the subsequent three-party review process, the owner user and the management user can review and confirm the quotation form, and by viewing the relevant information in the form and the pictures and voice recording information accompanying the form, they can fully understand the authenticity and necessity of the purchase of construction materials, etc., and thus approve the request for the purchase of this batch of construction materials, so as to improve the transparency of the disclosure of construction material purchase costs and the rationality of the expenditure. It helps to improve the level of project management.

[0062] Preferably, the recording unit includes an image acquisition unit and a voice recording unit;

[0063] The image acquisition unit is used to collect image information related to the engineering cost project in real time, and integrate the collected image information into the corresponding quotation form;

[0064] The voice recording information is used to collect the user's voice recording information and integrate the collected voice recording information into the corresponding quotation form.

[0065] For different recorded information, relevant information can be collected and recorded by means of pictures, video images or voice recording, and the recorded information can be integrated into the corresponding quotation form for subsequent viewing or listening by other users. This helps to improve the adaptability of key information recording and can be used in different information recording scenarios.

[0066] Preferably, the voice recording unit includes a voice collection unit and an enhancement processing unit;

[0067] The voice collection unit is used to collect the user's voice signal data in real time;

[0068] The enhancement processing unit is used to perform enhancement processing on the acquired voice signal data, improve the quality of the voice signal data, obtain enhanced voice signal data, and integrate the enhanced voice signal data into the corresponding quotation form.

[0069] In one scenario, in actual use, since a large amount of information entry occurs at the construction site, and the construction site is noisy (construction noise, personnel noise, etc.), there is a lot of on-site interference information, which can easily cause the voice recording information entered through the recording unit to be interfered with, resulting in insufficient clarity of the recorded information, affecting the accuracy of subsequent information recording and the effect of listening to the information during the subsequent user review process. Therefore, in the above implementation, an enhancement processing unit is also specially set in the voice recording unit to enhance the acquired voice signal data to improve the quality of the voice signal data, thereby improving the recording effect of the recorded information for the quotation form, helping to improve the accuracy of information recording, and at the same time improving the user experience of other users in the subsequent multi-party review process.

[0070] Preferably, the voice recording unit further includes an extraction unit;

[0071] The extraction unit is used to perform text extraction based on the enhanced voice signal data, translate the voice signal data into text information, and integrate the text information into a corresponding quotation form.

[0072] The voice-to-text method can also help improve the convenience of information recording, making it easier for subsequent users to understand the voice-recorded information during the review process of the quotation form information.

[0073] Preferably, in the enhancement processing unit, the acquired speech signal data is enhanced, including:

[0074] Perform windowing and framing processing on the acquired speech signal data to obtain speech signal data A(t) after the minute hand, where t represents a time variable, each time corresponds to a sampling point, t=1, 2, ...T, T is the total length of the speech signal;

[0075] Obtain a decomposition parameter K according to the obtained speech signal data A(t), and perform VMD on the variational mode decomposition according to the obtained decomposition parameter K to obtain K IMF components and a residual b(t) of the speech signal data;

[0076] According to each obtained IMF component, a corresponding partitioning parameter H is obtained, and according to the value of the partitioning parameter H, the 1st to Hth IMF components are marked as low-frequency components, and the H+1th to Kth IMF components are marked as high-frequency IMF components; wherein the partitioning parameter H is obtained in the following manner:

[0077] 11) According to the obtained IMF components, the characteristic parameters D(i,t) of each IMF component are calculated respectively, where the variable i=1,2,…K corresponds to each IMF component respectively, and the variable t=1,2,…T corresponds to each time respectively:

[0078]

[0079] Among them, D(i,t) represents the characteristic parameter corresponding to the i-th IMF component at time t, and IMF i (t) represents the amplitude of the i-th IMF component at time t, gm(*) represents the probability density function;

[0080] 12) Calculate the signal-to-noise parameter E(i) of each IMF component based on the obtained characteristic parameters, where the variable i=1, 2, ... K-1 corresponds to each IMF component:

[0081]

[0082] 13) According to the obtained signal-to-noise parameters E(i), obtain the variable i corresponding to the maximum value of the signal-to-noise parameter E(i), and use the value of i as the partition parameter H:

[0083]

[0084] Among them, argmax(*) represents the function that maximizes the target;

[0085] Wavelet threshold processing is performed on each IMF component obtained, including:

[0086] 21) For the IMF component marked as high-frequency IMF component i (t) Perform wavelet decomposition, where the variables i = H + 1, ... K correspond to each IMF component respectively, the wavelet basis used in the wavelet decomposition is Sym9, and the number of wavelet decomposition layers is 4; obtain the high-frequency wavelet coefficients w of the IMF components j,k and low-frequency wavelet coefficients e j,k; The variables j = 1, 2, 3, 4 correspond to the number of wavelet decomposition layers, and the variables k = 1, 2, ... T correspond to the length of the wavelet coefficients;

[0087] 22) For the obtained high-frequency wavelet coefficient w j,k Perform threshold processing to obtain the high-frequency wavelet coefficient w′ after threshold processing j,k :

[0088] Get each wavelet coefficient w j,k , when the wavelet coefficient w j,k When it is greater than or equal to the preset threshold wT, the wavelet coefficients are subjected to the first threshold processing:

[0089]

[0090] When the wavelet coefficient w j,k When it is less than the preset threshold wT and greater than or equal to 0, the wavelet coefficients are subjected to the second threshold processing:

[0091]

[0092] When the wavelet coefficient w j,k When it is less than 0 and greater than the preset threshold -wT, the third threshold processing is performed on the wavelet coefficients:

[0093]

[0094] When the wavelet coefficient w j,k When it is less than or equal to the preset threshold -wT, the fourth threshold processing is performed on the wavelet coefficients:

[0095]

[0096] Among them, w′ j,k represents the wavelet coefficient after threshold processing, where the variable j = 1, 2, 3, 4 corresponds to the number of wavelet decomposition layers, the variable k = 1, 2, ... T corresponds to the length of the wavelet coefficient, y represents the preset retention parameter, where 0.5 ≤ y ≤ 0.99; wT represents the preset threshold, where |w j | represents the amplitude of the wavelet coefficient, med(|w j |) represents the wavelet coefficient w j The middle value of the corresponding amplitude, T represents the length of the wavelet coefficient; α represents the preset positive adjustment parameter, where 0.1≤α<10; β represents the preset negative adjustment parameter, where 0.1≤β≤10, and β>α is satisfied;

[0097] Reconstruct the high-frequency wavelet coefficients and low-frequency wavelet coefficients after threshold processing to obtain the IMF component IMF′ after wavelet threshold processing i (t);

[0098] Reconstruct the enhanced speech signal data A′(t) according to the low-frequency IMF components, the high-frequency IMF components after threshold processing, and the residual amount:

[0099]

[0100] The enhanced voice signal data is integrated into the corresponding quotation form.

[0101] In one scenario, the decomposition parameter K is obtained by using a center frequency method, a residual index evaluation method, etc. to confirm the value of the optimal decomposition parameter K. Alternatively, the value of the decomposition parameter K is directly specified based on experience.

[0102] In view of the situation that the voice recording information is disturbed and the clarity is affected by the environmental noise factors at the construction site, the above embodiment of the present invention proposes a technical solution for enhancing the acquired voice signal data based on an enhancement processing unit. Among them, based on the acquired voice signal data, basic signal windowing and framing processing is first performed to unify the sampling data of the signal at each moment, and the obtained voice signal data is further decomposed based on VMD to obtain the IMF components corresponding to the voice signal data; wherein, considering the high and low frequency variation characteristics of the IMF components, the IMF components are divided into high and low frequencies, wherein in the process of division, the division parameter H is introduced to accurately obtain the high and low frequency dividing lines of multiple IMF components; considering the fluctuation characteristics of each IMF component to the actual voice signal and the noise signal, the characteristic parameters of the signal and the signal-to-noise parameters are especially combined to feedback the similarity of each IMF component to the standard voice signal, and the IMF components with sudden changes in the signal-to-noise parameters are selected as the dividing line, thereby dividing the high and low frequency characteristics of the IMF components. Based on the high-frequency IMF components obtained by division (considered to contain noise interference), a wavelet threshold processing-based method is used to eliminate the noise of the high-frequency IMF components. A 4-segment threshold processing method is proposed, which can adaptively eliminate the interference of noise based on the feedback of the high-frequency wavelet coefficients on the noise at the construction site. Paired wavelet coefficient processing is performed through the positive-negative and high-low correspondence of the high-frequency wavelet coefficients, which helps to improve the adaptability of wavelet threshold processing to speech signal data, effectively eliminate the noisy noise interference at the construction site, and effectively improve the signal quality of the high-frequency part. Finally, the signal is reconstructed by combining the IMF components after threshold processing. The obtained speech signal data effectively improves the signal-to-noise ratio, eliminates the interference of environmental noisy noise, highlights the useful human voice part in the speech signal, and improves the quality of the recorded speech signal data, which helps to lay the foundation for further information extraction or playback based on the recorded speech signal data.

[0103] Preferably, the three-party approval module includes an owner approval unit, a construction approval unit, a project management approval unit and a recording unit;

[0104] The owner approval unit is used for the owner user to review the provided quotation information and obtain the owner's approval result;

[0105] The construction party approval unit is used for the construction party user to review the parameters in the provided quotation information and obtain the construction party's approval result;

[0106] The project management party approval unit is used for the project management user to review the quotation information in the provided quotation information and obtain the project management party's approval result;

[0107] The recording unit is used to record the relevant engineering cost data and approval results into the engineering cost data management log.

[0108] In order to meet the requirements of project cost approval, the three-party approval module sets up approval units for the owner, the construction and the project management to provide corresponding approval services for different users. The form information to be approved will be transmitted to different users respectively. After receiving the quotation form to be approved, the user can obtain the corresponding quotation form data and complete the approval and information confirmation through the corresponding approval unit, which helps to provide remote approval functions for users from all parties and facilitate users to review the relevant cost data during the construction process. The approval records of all users will be recorded in the project cost data management log through the recording unit, which is convenient for further management of the approval data and historical data recording.

[0109] In one scenario, when there is obviously unreasonable price information in the quotation form, the project management party or the owner can raise objections based on the quotation form information, thereby requesting to change the channel provider or learn more about the quotation project based on the quotation form, so as to improve the transparency and interoperability of the project cost data for all users, so as to reach a consensus on the expenses involved in the construction process, thereby improving the management level of the construction project cost.

[0110] Preferably, the engineering management module includes a knowledge base unit, a model building unit and an update unit;

[0111] The knowledge base unit is used to obtain knowledge data related to engineering cost and build an engineering cost knowledge base;

[0112] The model building unit is used to build a project management model based on BIM technology according to the construction project information; the project management model is provided with building environment data, building structure data, building construction data, full-process construction data, cost budget data and acceptance data, etc.;

[0113] The updating unit is used to update the relevant data based on the engineering cost data that has been approved and integrated into the engineering management model.

[0114] The approved engineering cost data will be updated to the engineering management module and recorded in the corresponding position of the engineering management model to enter or update the information in the engineering management model. The engineering management module can also manage and update the engineering management model built based on BIM technology. The relevant data of the model can intuitively display the current construction project information and related planning information to all users. At the same time, it also records and displays the engineering cost information in a phased or complete manner, which helps to improve the overall management level of users on the construction project cost.

[0115] Preferably, the intelligent analysis module includes a statistical analysis unit

[0116] The statistical unit is used to classify, count, estimate and analyze the construction project cost data based on the project management model to obtain the project cost statistical analysis results; the project cost statistical analysis results include node-by-node estimation, budget and settlement data of labor costs, material costs, construction costs, equipment costs, etc.

[0117] Through the intelligent analysis module, it is possible to conduct further intelligent analysis on the relevant data of engineering cost based on the constructed engineering management model, including statistics, calculations, and comparisons of engineering cost, to provide different types of analysis results for engineering cost data, and provide users with more intelligent and professional engineering cost data analysis data display, which helps to improve users' intelligent application and management level of construction engineering cost data.

[0118] It should be noted that each functional unit / module in each embodiment of the present invention may be integrated into one processing unit / module, or each unit / module may exist physically separately, or two or more units / modules may be integrated into one unit / module. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of software functional unit / module.

[0119] Through the description of the above implementation mode, it can be clearly understood by those skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the process of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein the communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The storage medium can be any available medium that can be accessed by a computer. Computer-readable media can include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should analyze that the technical solution of the present invention can be modified or replaced by equivalents without departing from the essence and scope of the technical solution of the present invention.

Claims

1. An intelligent engineering cost data management system, characterized in that: include: Data collection module, tripartite approval module, project management module and intelligent analysis module; among them, The data acquisition module is used to obtain engineering cost data, which includes labor price, material price, and machinery price; The three-party approval module is used to approve the acquired engineering cost data, obtain the engineering cost approval result, and record the relevant engineering cost data and approval result in the engineering cost data management log; The project management module is used to build a project management model based on BIM technology according to the construction project information, and integrate the approved project cost data into the project management model to update the relevant data; The intelligent analysis module is used to perform intelligent analysis on the engineering cost data based on the constructed engineering management model, obtain the engineering cost analysis results, and integrate the engineering cost analysis results into the engineering management model.

2. According to claim 1, an intelligent engineering cost data management system is characterized in that: The data acquisition module includes a designated acquisition unit and a channel acquisition unit; The designated acquisition unit is used to interactively connect with a preset data port, and acquire the real-time designated engineering cost data from the designated data source through the data port; The channel acquisition unit is used to obtain quotation information provided by users and extract corresponding engineering cost data based on the quotation information, wherein the users include owners, engineering construction parties and suppliers, and the quotation information provided includes project, parameters, price and introduction information.

3. The intelligent engineering cost data management system according to claim 2 is characterized in that: The designated acquisition unit includes an interface unit and a grabbing unit; The interface unit is used to set the corresponding data source for the specified engineering cost project, and establish a data interaction connection with the corresponding data source after completing the interface authorization, so that the specified acquisition unit can access the corresponding data source; The capture unit is used to capture relevant data of the specified engineering cost items from the data source through data capture technology.

4. The intelligent engineering cost data management system according to claim 2 is characterized in that: The channel acquisition unit includes a form unit and a record unit; The form unit is used by the user to generate a quotation form for a specified engineering cost item, complete the quotation form based on the relevant information of the specified engineering cost item, and submit the quotation form to the three-party approval module; The quotation form includes the provider of the engineering cost form, project, parameters, unit price, quantity and introduction information; the introduction information includes image recording information and voice recording information; The recording unit is used for users who submit quotation forms to upload corresponding introduction information, wherein the introduction information includes image recording information and voice recording information for engineering cost items.

5. The intelligent engineering cost data management system according to claim 1 is characterized in that: The three-party approval module includes the owner approval unit, the construction approval unit, the project management approval unit and the record unit; The owner approval unit is used for the owner user to review the provided quotation information and obtain the owner's approval result; The construction party approval unit is used for the construction party user to review the parameters in the provided quotation information and obtain the construction party's approval result; The project management party approval unit is used for the project management user to review the quotation information in the provided quotation information and obtain the project management party's approval result; The recording unit is used to record the relevant engineering cost data and approval results into the engineering cost data management log.

6. The intelligent engineering cost data management system according to claim 1 is characterized in that: The engineering management module includes a knowledge base unit, a model building unit, and an update unit; The knowledge base unit is used to obtain knowledge data related to engineering cost and build an engineering cost knowledge base; The model building unit is used to build a project management model based on BIM technology according to the construction project information; The engineering management model includes building environment data, building structure data, building construction data, full-process construction data, cost budget data and acceptance data; The updating unit is used to update the relevant data based on the engineering cost data that has been approved and integrated into the engineering management model.

7. The intelligent engineering cost data management system according to claim 1 is characterized in that: Intelligent analysis module includes statistical analysis unit The statistical unit is used to classify and analyze the construction project cost data based on the project management model to obtain the statistical analysis results of the project cost; The statistical analysis results of project costs include node-by-node estimates, budgets, and settlement data for labor costs, material costs, construction costs, and equipment costs.

8. The intelligent engineering cost data management system according to claim 1 is characterized in that: It also includes a project display module for visually displaying the project management model.

9. The intelligent engineering cost data management system according to claim 4 is characterized in that: The recording unit includes an image acquisition unit and a voice recording unit; The image acquisition unit is used to collect image information related to the engineering cost project in real time, and integrate the collected image information into the corresponding quotation form; The voice recording information is used to collect the user's voice recording information and integrate the collected voice recording information into the corresponding quotation form.

Citation Information

Patent Citations

  • BIM-based whole-process cost consultation service method and system

    CN115034911A

  • Engineering cost management system based on BIM and big data

    CN117557223A

  • House building project cost management system with big data contrastive analysis function

    CN118096276A

  • Three-dimensional display system and method for sound control building information model

    WO2021114479A1