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Method and device for automatic extraction and analysis of engineering cost based on deep learning

A technology of engineering cost and deep learning, applied in character and pattern recognition, natural language data processing, text database clustering/classification, etc. Completion and other issues to achieve high efficiency

Active Publication Date: 2022-05-24
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Predict, plan, control, and calculate the project cost based on the bill of quantities. At present, these tasks are manually completed by the cost personnel, which requires high experience, knowledge and accuracy of the cost personnel themselves, and takes a lot of time.

Method used

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  • Method and device for automatic extraction and analysis of engineering cost based on deep learning
  • Method and device for automatic extraction and analysis of engineering cost based on deep learning
  • Method and device for automatic extraction and analysis of engineering cost based on deep learning

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Experimental program
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Effect test

Embodiment 1

[0094] This embodiment discloses a method for automatic extraction of engineering cost information and automatic generation and analysis of engineering cost based on small sample deep learning and natural language processing technology. The method includes the steps of automatic identification and extraction of engineering cost information, and automatic generation and analysis of engineering cost. step, where,

[0095] The process of automatic identification and extraction of project cost information is as follows:

[0096] S101, importing the bill of quantities information, and dividing the contents of the bill of quantities into multiple parts according to two or more combinations of: sub-project, project name, project feature description, and measurement unit;

[0097] S102, importing market engineering cost information;

[0098] According to steps S101 and S102, the following engineering quantity list information or market engineering cost information is imported, and di...

Embodiment 2

[0139] like Figure 5 As shown, this embodiment discloses a device for automatic extraction of project cost information and automatic generation and analysis of project cost. The project cost automatic generation and analysis module 502, wherein the project cost information automatic identification and extraction module 501 includes:

[0140] The first import unit 5011 is used to divide the content of the engineering quantity list into multiple parts according to two or more combinations of: subdivision engineering, project name, project feature description, and measurement unit;

[0141] The second importing unit 5012 is used for importing market engineering cost information;

[0142] The word segmentation splitting unit 5013 is used to split the bill of quantities information and the market project cost information using the word segmentation method in the natural language processing technology to perform word segmentation, and output the word segmentation and the correspon...

Embodiment 3

[0153] This embodiment provides a computer device, and the computer device can be a computer, such as Image 6 As shown, it is connected by a system bus 601 to a processor 602, memory, input device 603, display 604 and network interface 605 for providing computing and control capabilities, the memory including non-volatile storage medium 606 and internal memory 607, the non-volatile storage medium 606 stores an operating system, a computer program and a database, the internal memory 607 provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium, and the processor 602 executes the memory stored in the memory. As a computer program, the method for automatically extracting project cost information and automatically generating and analyzing project cost based on small sample deep learning and natural language processing technology of the above-mentioned embodiment 1 is realized, and the method includes automatic ide...

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Abstract

The invention discloses an automatic extraction and analysis method of engineering cost based on deep learning. The method is as follows: import the bill of quantities and market project cost information, use the word segmentation method in natural language processing technology to perform word segmentation, establish a knowledge map and structured database, establish a deep learning model, automatically identify the cost information, and based on The corresponding relationship of the knowledge map, input the unit price information into the structured database; import the bill of quantities of the cost to be measured, and use the deep learning model to automatically read the structured database and output its cost according to the corresponding relationship between the project name, description features and cost standards. Establish a cost index database to compare and analyze the accuracy of the output cost with the existing data. The invention realizes the automatic extraction of project cost information and the automatic generation and analysis of project cost under small sample deep learning, and improves the work efficiency of project cost information database establishment and project cost prediction, planning, control and accounting.

Description

technical field [0001] The invention relates to the technical fields of construction engineering cost, engineering cost, small sample deep learning and natural language processing, and specifically discloses a deep learning-based automatic extraction and analysis method, device, computer equipment and storage medium for engineering cost, and relates to a computer program , A computer device, a computer-readable storage medium, a cloud service device, a cloud service-readable storage medium, and a cloud service system. Background technique [0002] The era of big data has higher requirements for the timeliness and accuracy of cost information in the construction industry, the efficiency of manually sorting out project cost information, and the efficiency of project cost prediction, planning, control, and accounting based on cost information, which can no longer satisfy the current construction industry. Industrialization development requirements. [0003] Due to the differen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/33G06F16/35G06F40/216G06F40/289G06K9/62G06Q10/06G06Q50/08
CPCG06F16/3343G06F16/3346G06F16/35G06F40/289G06F40/216G06Q10/06393G06Q50/08G06F18/24
Inventor 叶杰舜黄文炜
Owner SOUTH CHINA UNIV OF TECH
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