Petroleum chemical natural gas pipeline engineering quantity intelligent calculation method and system

Abstract

The present application relates to a kind of petroleum chemical natural gas pipeline engineering engineering quantity intelligent calculation method and system, its method, including the following steps: identifying the engineering data in pipeline axonometric drawing;The standardization is carried out to the engineering data, and standardization engineering data are obtained;Quota standard database is constructed;According to the engineering data and the data in the quota standard database are matched with quota;Engineering quantity is calculated using the engineering data after quota matching;The present application identifies the engineering data in pipeline axonometric drawing, then the standardization is carried out to engineering data, then the data after standardization is matched from database with engineering quantity calculation quota, to realize the intelligent calculation of engineering quantity;Solve the technical problems in the prior art, low work efficiency, rely on professional experience, high labor cost.

Description

Technical Field

[0001] This invention relates to the fields of petrochemical engineering, natural gas engineering cost estimation, and database application technology, specifically to a method and system for intelligent calculation of engineering quantities for petrochemical and natural gas pipeline projects. Background Technology

[0002] The main process for calculating the quantity of pipeline engineering in petrochemical projects is as follows: the quantity surveyor manually reviews the isometric drawings of the process pipelines in PDF format, extracts the specifications, quantities, materials, pressure ratings, and other information of pipes, fittings, valves, flanges, etc. from the material list of the drawings line by line, and records them into an Excel spreadsheet; then, according to the quota standards, the quantity calculation rules corresponding to the materials are manually matched (such as calculating the linear meters of pipes, counting the number of fittings, and converting the anti-corrosion and insulation area), and finally summarizes them to form a bill of quantities.

[0003] The application of this type of technology relies on the professional experience of quantity surveyors, who need to be familiar with isometric drawing interpretation specifications, material properties, and quota standards. Currently, it still accounts for a certain proportion of entry-level positions in some small cost consulting companies and construction enterprises.

[0004] With the digital development of the industry, a number of auxiliary calculation software for petrochemical engineering cost estimation have emerged in the market, such as pipeline quantity calculation software based on CAD drawings. This type of technology is the mainstream application method for medium and large-scale projects. Specifically, some software can import pipeline construction drawings in CAD format and automatically extract basic parameters such as pipeline length and diameter from the CAD annotations by recognizing graphic elements such as pipeline lines and equipment annotations in the drawings. However, it cannot directly process isometric drawings of pipelines in PDF format. For non-graphical information such as material lists (such as pipe fitting models and materials) and anti-corrosion and insulation parameters (such as insulation thickness and anti-corrosion coating type), staff still need to manually enter the information into the system, and then the software calculates the quantity of work based on the built-in basic formulas.

[0005] Currently, in the field of petrochemical engineering, database applications related to pipeline materials mostly rely on general cost estimation or design software, and no specialized databases have been developed. Existing databases mostly only store standard specification parameters of pipeline materials (such as general data such as pipe diameter, wall thickness, and weight under national / American / industry standards), lacking design institute standards and owner-specific standards. Furthermore, when faced with different descriptions or custom specifications of the same pipe fitting from different design institutes, identification and conversion can only be achieved through manual compilation or consulting numerous standard manuals.

[0006] It is evident that the existing technology has the following drawbacks: ① Low work efficiency and susceptibility to human error. Manually extracting material information from PDF pipeline isometric drawings requires flipping through each page of the drawings and manually entering data. A skilled worker can manually extract 60 to 80 pipeline isometric drawings per day, while large-scale refining projects typically involve tens of thousands of drawings, with the overall calculation cycle lasting weeks or even months. Furthermore, manual statistics are prone to data entry errors (such as incorrect specifications or missing quantities) and quota mismatches, making it difficult to guarantee the accuracy of the engineering quantity results. ② High labor costs due to reliance on professional experience. This technology requires staff to possess isometric drawing interpretation skills, material expertise, and a thorough understanding of quota standards, resulting in a long training period for such professionals. During peak project periods, a large amount of manpower is required for calculation work, further increasing enterprise labor costs. ③ Difficult data traceability and low efficiency in later review. During manual calculation, the correspondence between material information and isometric drawings relies solely on staff records. Later review requires re-examining the original drawings to verify the data, making it impossible to quickly locate the data source. If the drawing version is updated, a complete recalculation is required, making dynamic data updates and traceability difficult. Summary of the Invention

[0007] To address the technical problems of low work efficiency, reliance on professional experience, and high labor costs in existing technologies, this invention provides a method and system for intelligent calculation of engineering quantities for petrochemical and natural gas pipeline projects.

[0008] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: A method for intelligently calculating the quantities of petrochemical and natural gas pipeline projects includes the following steps: Identify engineering data in pipe isometric drawings; The engineering data is standardized to obtain standardized engineering data; Construct a database of quota standards; The quota is matched between the engineering data and the data in the quota standard database; The engineering quantity is calculated using the engineering data after quota matching.

[0009] The beneficial effects of this invention are: by identifying engineering data in pipeline isometric drawings, standardizing the engineering data, and then matching the engineering quantity calculation quota from the database based on the standardized data, intelligent calculation of engineering quantities is achieved; this solves the technical problems of low work efficiency, reliance on professional experience, and high labor costs in the prior art.

[0010] Based on the above technical solution, the present invention can be further improved as follows.

[0011] Furthermore, identifying engineering data in the pipe isometric drawing includes the following steps: Identify the material list in the pipe isometric drawing and analyze the text information in the material list; Regular expressions are used to extract component parameters from the text information in the material list; wherein, the engineering data includes the component parameters.

[0012] Furthermore, the engineering data is standardized to obtain standardized engineering data, including the following steps: Construct a database of engineering standard parameters for multiple different engineering standard categories; The component parameters are matched with data in multiple engineering standard parameter databases to identify the engineering standard category corresponding to the component parameters. The component parameters are identified based on the matched engineering standard category to extract the parameter data from the component parameters. The parameter data from the identified component parameters are converted into preset standard data to obtain the standardized engineering data.

[0013] Furthermore, the database of engineering standard parameters includes multiple engineering standard parameter databases from different countries and multiple companies.

[0014] Furthermore, the component parameters include at least component material parameters, component process parameters, and component construction parameters.

[0015] Furthermore, a quota standard database is constructed, including the following steps: Based on the measurement strategy in the preset installation engineering budget quota standard, create quota numbers and quota base prices corresponding to different material parameters, process parameters and construction parameters; The quota standard database is constructed by using the quota number and quota base price corresponding to different material parameters, process parameters and construction parameters.

[0016] Furthermore, the quota matching is performed based on the engineering data and the data in the quota standard database, including the following steps: The component material parameters, component process parameters, and component construction parameters are matched with the material parameters, process parameters, and construction parameters in the quota standard database to obtain the quota number and quota base price.

[0017] Furthermore, the engineering quantity calculation is performed using the engineering data after quota matching, including the following steps: The quantity of work is calculated based on the material parameters, process parameters, and construction parameters of the components, as well as the corresponding quota number and quota base price.

[0018] Furthermore, the file format of the pipeline isometric drawing is a portable file format.

[0019] To address the aforementioned technical problems, this invention also provides an intelligent calculation system for engineering quantities in petrochemical and natural gas pipeline projects, the specific technical contents of which are as follows: A smart calculation system for quantities in petrochemical and natural gas pipeline projects includes: The drawing recognition module is used to recognize engineering data in pipe isometric drawings; The standardization module is used to standardize the engineering data to obtain standardized engineering data; The database construction module is used to build the quota standard database; The engineering quantity intelligent calculation module is used to match the engineering data with the data in the quota standard database; and to calculate the engineering quantity using the engineering data after quota matching. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating a method for intelligently calculating the engineering quantities of a petrochemical natural gas pipeline project according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of an intelligent calculation system for engineering quantities of a petrochemical natural gas pipeline project according to an embodiment of the present invention. Detailed Implementation

[0021] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0022] like Figure 1 As shown in the figure, this embodiment provides a method for intelligent calculation of engineering quantities for petrochemical and natural gas pipeline projects, including the following steps: S1. Identify the engineering data in the pipe isometric drawing; wherein the file format of the pipe isometric drawing is a portable file format.

[0023] Identifying engineering data in pipe isometric drawings includes the following steps: Identify the material list in the pipe isometric drawing and analyze the text information in the material list; Regular expressions are used to extract component parameters from the textual information in the material list; wherein, the engineering data includes the component parameters. The component parameters include at least component material parameters, component process parameters, and component construction parameters.

[0024] S2. Standardize the engineering data to obtain standardized engineering data; The engineering data is standardized to obtain standardized engineering data, which includes the following steps: Construct engineering standard parameter databases for multiple different engineering standard categories; these databases include engineering standard parameter databases from multiple countries and multiple companies.

[0025] The component parameters are matched with data in multiple engineering standard parameter databases to identify the engineering standard category corresponding to the component parameters. The component parameters are identified based on the matched engineering standard category to identify the parameter data in the component parameters; wherein, the parameter data is the specific value in the component parameters, such as the length value, inner diameter value, outer diameter value, thickness value, etc. in the dimensional parameters.

[0026] The parameter data from the identified component parameters are converted into preset standard data to obtain the standardized engineering data.

[0027] S3. Construct a quota standard database; The construction of a quota standard database includes the following steps: Based on the measurement strategy in the preset installation engineering budget quota standard, create quota numbers and quota base prices corresponding to different material parameters, process parameters and construction parameters; The quota standard database is constructed by using the quota number and quota base price corresponding to different material parameters, process parameters and construction parameters.

[0028] S4. Match the quotas based on the engineering data and the data in the quota standard database; Matching the project data with the data in the quota standard database involves the following steps: The component material parameters, component process parameters, and component construction parameters are matched with the material parameters, process parameters, and construction parameters in the quota standard database to obtain the quota number and quota base price.

[0029] S5. Calculate the quantity of work using the engineering data after quota matching.

[0030] The calculation of project quantities using the project data after quota matching includes the following steps: The quantity of work is calculated based on the material parameters, process parameters, and construction parameters of the components, as well as the corresponding quota number and quota base price.

[0031] The beneficial effects of this invention are: by identifying engineering data in pipeline isometric drawings, standardizing the engineering data, and then matching the engineering quantity calculation quota from the database based on the standardized data, intelligent calculation of engineering quantities is achieved; this solves the technical problems of low work efficiency, reliance on professional experience, and high labor costs in the prior art.

[0032] like Figure 2 As shown, in some other embodiments, a smart calculation system for the engineering quantities of petrochemical and natural gas pipeline projects is also provided, the specific technical content of which is as follows: A smart calculation system for quantities in petrochemical and natural gas pipeline projects includes: The drawing recognition module is used to recognize engineering data in pipe isometric drawings; The standardization module is used to standardize the engineering data to obtain standardized engineering data; The database construction module is used to build the quota standard database; The engineering quantity intelligent calculation module is used to match the engineering data with the data in the quota standard database; and to calculate the engineering quantity using the engineering data after quota matching.

[0033] In some other embodiments, the underlying supporting environment is as follows: 1. Hardware operating environment and configuration requirements: CPU frequency ≥ 2.0G, memory ≥ 4G, available hard disk space ≥ 5G, graphics card and monitor resolution ≥ 1920×1080.

[0034] Suitable for various scenarios: Compatible with mainstream PC devices such as desktops and laptops, suitable for on-site office work in petrochemical projects and enterprise back-end computing scenarios.

[0035] 2. Software operating environment Operating system: Supports Windows 7 / Windows 8 / Windows 10 / Windows 11.

[0036] Auxiliary software: Requires pre-installed Microsoft Access 2007 or later ODBC driver. The database used is MariaDB 10.1.31 (supports UTF8 character set, remote login, default port 3306), and the database management tool is HeidiSQL.

[0037] 3. Database architecture, Core Database: The modelbidding.sql database is created by running the MainQuota.sql script. It contains multiple structured data tables, covering basic pipeline information (pcfpipelinelist), fitting installation parameters (fittingsinstall), insulation type standards (insulationtype), material specifications (materialgrade), etc. It covers commonly used standards and specifications (such as national standards / industry standards / American standards) as well as custom standards and specifications from various design institutes and owners.

[0038] Data association logic: Data tables are linked through "pipeline ID and material code" to ensure the accuracy and efficiency of data retrieval.

[0039] The core functional modules are designed as shown in Table 1: Table 1 Design of Core Functional Modules The standard parameter system is constructed as follows: A standard parameter system has been established, covering 18 parameters including material properties, corrosion resistance, insulation, and pipeline data, as well as national, American, industry, and institute standards. Key parameters are as follows: Material properties category: Solving the problem of standardizing and breaking down material information.

[0040] To address the industry pain points of inconsistent material naming and attribute descriptions among different design institutes and standard systems, a mapping rule is established using regular expression (regex) feature codes to achieve automatic identification and classification of material information, laying the foundation for subsequent engineering quantity calculations.

[0041] Standardized definition of material names: Use regular expressions to set feature codes (e.g., "90 ELBOW|90 degree elbow" is uniformly classified as "90 degree elbow") to standardize different names for the same material and ensure the accuracy of material classification.

[0042] Material specification definition: Define material feature codes (such as "ASTM A105 | Carbon Steel" or "ASTM A312-TP304 | Stainless Steel") to automatically identify the material type in the material description and match the quota items corresponding to different materials.

[0043] Pressure rating specification definition: The pressure type is distinguished by the feature code (such as "CL 150 | Medium Pressure" "CL 3000 | High Pressure"), and the pressure rating parameter in the material description is automatically extracted to ensure that high pressure, medium pressure and low pressure pipelines are matched with the corresponding quotas.

[0044] Manufacturing process specification definition: Standardize the description of pipeline manufacturing process (such as "SMLS | Seamless" or "EFW | Straight Seam Weld"), decompose the manufacturing process information in the material description, and use it to determine the calculation rules corresponding to the pipeline connection method.

[0045] Manufacturing standard specifications definition: Unify material manufacturing standards (such as "ASME B16.9 | Pipe Fittings Standard" and "ASME B16.5 | Flange Standard"), automatically identify manufacturing standard parameters in material descriptions, and ensure that dimensional calculations comply with industry standards.

[0046] Material wall thickness specification definition: The wall thickness grade is uniformly expressed by feature code (such as "S-40|SCH40" "[0-9.]+mm | millimeter wall thickness"), and the wall thickness parameters of the material are automatically extracted for calculating the weight of the pipe.

[0047] Material end specification definition: Standardize the end connection method of valves and flanges (such as "SW | socket welding" or "RF | raised face"), automatically identify the end type, and match the corresponding installation quota for the end connection.

[0048] Engineering standards: Resolves compliance issues in engineering quantity calculation.

[0049] We strictly adhere to the engineering standards and quota requirements of the petrochemical industry, and establish a standard information database for owner or general contractor construction management to provide standard basis for calculating the quantities of rust removal, corrosion prevention, and insulation, ensuring that the results comply with the engineering settlement and cost consulting specifications.

[0050] Pipeline Construction Condition Table: By selecting relevant engineering quantity calculation information from the pipeline design data table provided by the design institute, the pressure type, operating temperature, and insulation type for pipeline engineering quantity calculation are determined. Information on heat tracing requirements, pipeline pressure testing, and flushing methods is also included, providing fundamental information for engineering quantity calculation.

[0051] Pipeline corrosion protection standards and specifications: Based on the corrosion protection management regulations of the owner or general contractor, a standard corrosion protection database is formed through standardized data processing (such as "corrosion protection code C2 → air spraying, 2 coats of epoxy zinc-rich primer + 2 coats of zinc silicate anti-corrosion coating topcoat"). It is linked to pipeline data tables to determine the amount of corrosion protection work for pipelines, match the quota of "corrosion protection engineering" in Volume VI, and support the cumulative calculation of the amount of multiple coats of paint.

[0052] Pipeline insulation standard definition: Based on the insulation management regulations of the owner or general contractor, a standard insulation database is formed through standardized data processing (such as "minimum pipe diameter [MM]: 15, maximum pipe diameter [MM]: 15, maximum operating temperature: 50, inner insulation material: high temperature centrifugal glass wool pipe shell, thickness: 30mm"), which is associated with the pipeline data table to determine the insulation of the pipeline.

[0053] (3) Insulation code standard: The insulation management regulations of the owner or general contractor are structured (including insulation type, moisture-proof material, protective shell material, etc.) to form an insulation code, for example, "Insulation code BB → Insulation type: thermal insulation, moisture-proof material: rubber asphalt waterproof cold adhesive glass cloth moisture-proof layer 6.2mm, protective shell material: aluminum zinc plate", which is used to determine the insulation type, moisture-proof material and protective shell material of the insulation code.

[0054] (4) Definition of insulation material categories: Establish the correspondence between insulation materials and quota classifications (such as "nitrile rubber → centrifugal glass wool with aluminum foil" and "polyurethane / flame retardant foam → polyurethane foam spraying") to ensure that the insulation material type matches the corresponding quota material list in the sixth volume of "Budget Quota for Petroleum Construction and Installation Engineering" and avoid quota mismatch.

[0055] (5) Standard definition of pipeline rust removal: Based on the insulation management regulations of the owner or general contractor, a standard insulation database is formed through standardized data processing (e.g., anti-corrosion code C11 → rust removal method: shot blasting for rust removal of the outer wall, surface treatment grade: SA2.5 grade, rust removal quota: 6-68, rust removal location: outer wall, coefficient 1), which is used to calculate the rust removal work volume and is also the standard for defining the anti-corrosion code of pipeline number.

[0056] 3. Dimensioning Specifications: Solve problems related to calculating material geometric dimensions. Based on industry-standard manufacturing practices, a material dimension database has been established to provide data support for calculating pipe linear meters (pipe linear meters = net pipe length + length of fittings / flanges / valve), corrosion protection and insulation area, and weight.

[0057] (1) Pipe fitting size manufacturing standards: Based on material manufacturing standards such as MSSSP-95 and SH / T3419, store the size standards of pipe fittings (short sections, elbows, tees) (e.g., material name: short joint, NS: 10×8→NS1[MM]: 10, length[MM]: 35) to determine the length occupied by the pipe fittings and other parameters.

[0058] (2) Flange size manufacturing standards: including flange size manufacturing standards (BASME B16.47A, GB / T 13402A) and flange end size standards (ASME B16.48), storing parameters such as size, pressure rating, manufacturing standard, and size standard (e.g., "welded neck method, NS[MM]: 650, pressure rating: CL150, flange height[MM]: 119"), used to determine the flange length and other parameters.

[0059] (3) Valve size manufacturing standards: Based on standards such as ASME B16.10, store the specification-length correspondence of valves (gate valves, check valves) (e.g., “gate valve, NS20, pressure rating: CL150, end type: flange, length [MM]: 117”) to store and determine the valve’s occupied length and other parameters.

[0060] (4) Tracking device parameters: Import the equipment valve instrument tag number table from the design unit to establish the relationship between tag number devices in the pipeline isometric drawing and determine the size manufacturing standard of the intelligent valve.

[0061] (5) Outer diameter and wall thickness standards: Based on the pipe manufacturing standard SH3405, compatible with ASME B36.10 standard, it stores the outer diameter and wall thickness values ​​corresponding to different pipe diameters and wall thickness grades (such as DN450, S-5S → outer diameter 457.2mm, wall thickness 4.19mm, unit weight 46.79), providing basic parameters for calculating pipe cross-sectional area and weight.

[0062] Associated parameter classes (2 items): Automatic extraction and cleaning of PDF isometric drawing materials; Existing technological limitations: Traditional manual extraction of PDF material information is inefficient, and existing auxiliary software cannot directly process PDF pipe isometric drawings, requiring manual format conversion or data entry.

[0063] This invention is based on extraction parameter settings and regular expression matching to automatically identify the material table in PDF pipe isometric drawings. It supports setting the extraction range by block, pipeline number, and import batch. The extracted fields cover material code, specification, quantity, material, and minimum / maximum elevation.

[0064] It has a built-in material anomaly detection function that automatically checks and marks problems such as inconsistent material specifications, missing quantities, and incorrect numbering; it also supports adding "cleanup keywords" to batch clean up invalid material data.

[0065] It directly parses PDF drawings without requiring conversion to other formats, and the material extraction process requires no manual intervention.

[0066] Intelligent analysis of material properties; Existing technology drawbacks: Existing software requires manual input or manual analysis of material properties. Due to the large number of current standards and specifications and the different descriptions from various design institutes, it relies heavily on the professional experience of the input personnel, resulting in low efficiency and a high risk of recognition errors.

[0067] Based on a library of 18 standard parameters, this invention automatically extracts key attributes from material descriptions through "feature code matching," such as identifying material name, manufacturing standard, material, pressure rating, and connection method from the material description.

[0068] It supports manual revision of abnormal attributes. Right-clicking allows you to "modify current material properties", "maintain current material", and "browse corresponding drawings". The disassembly results are directly linked to the engineering quantity calculation module, eliminating the need for secondary entry.

[0069] Automatic matching and calculation of engineering quantity quotas; Existing technical limitations: Manual matching of quotas is prone to errors, and existing software requires manual selection of quota sub-items.

[0070] This invention incorporates the complete catalogues of Volume 3 (Pipeline Installation) and Volume 6 (Corrosion Prevention and Thermal Insulation) of the "Budget Quota for Petroleum Construction and Installation Engineering". It automatically matches the quota number and base price based on material properties (material, pressure rating) and engineering parameters (elevation level, construction process).

[0071] Supports calculation of pipeline installation work in linear meters and weight (material density and minimum pipe diameter need to be set); the anti-corrosion and insulation work adopts the "four-table" design, which automatically calculates the rust removal area and anti-corrosion area, and takes into account the elevation coefficient.

[0072] Data linkage and standardized management; Existing technical shortcomings: Data is isolated between existing software modules, project classification and material standards are inconsistent, and subsequent review and data traceability are difficult.

[0073] This invention achieves comprehensive data linkage between "project management, drawing management, and quantity calculation". For example, after a project is created, it is automatically divided into blocks. The elevation calibration results of the drawings directly affect the elevation coefficient of the quantity calculation. The material property breakdown results are automatically synchronized to the installation quantity module.

[0074] The project classification strictly follows the "CBS Structure Standard for Refining and Chemical Construction Projects". Parameters such as materials and quotas are imported in batches and stored in a standardized manner through Excel. Data can be exported to Excel with one click (including summary tables, detailed tables, and problem lists). Data from different projects is stored independently to achieve data isolation.

[0075] Database applications; Existing technology confirms that the existing software does not have a dedicated database to store the pipe fitting labeling rules of various design institutes in China, and cannot adapt to the labeling differences of different design institutes. This easily leads to errors in pipe fitting attribute identification, requiring repeated manual verification.

[0076] This invention establishes a structured pipeline design and construction standard database by creating a system of owner or general contractor construction management regulations and pipeline design data tables (including pipeline number, pipeline class, medium code, petrochemical class, pressure pipeline class, design pressure / temperature, corrosion / insulation code, etc.) provided by the design institute. This ensures that the basic pipeline parameters are consistent with the design standards and avoids errors caused by manual data entry. Through a pipeline design data association table, the system binds the design institute's pipeline design data with its fitting labeling rules. For example, importing pipeline design data from Design Institute A (pipeline number "P-101", pressure class "CL 300") automatically matches the pressure class to high pressure, eliminating the need for manual labeling. Simultaneously, the system performs material anomaly detection on fittings. If a fitting does not conform to the design institute's fitting labeling rules, the system automatically alerts the user, eliminating the need for repeated verification.

[0077] Compared to traditional manual quantity surveying, existing auxiliary software quantity surveying technology has the following advantages: The current technology for improving quantity surveying efficiency requires manual interpretation of PDF isometric drawings, extraction of material information such as pipe diameter and material composition, and comparison with the quota manual to calculate the quantity. Even with auxiliary software, the amount of data entry can only be reduced, resulting in limited efficiency gains. This patented technology significantly reduces the material extraction time for a single pipeline by automatically extracting and decomposing material information, automatically matching quotas, automatically calculating quantities, and automatically linking data. This significantly improves the efficiency of calculating quantities such as linear meters, weight, and corrosion protection area, thus changing the inefficient mode of existing technologies.

[0078] To improve the accuracy of quantity surveying, existing technologies generally rely on the experience of surveyors. Differences in the descriptions of materials and pressure ratings among different design institutes increase the difficulty of identification and increase the risk of errors. This patented technology establishes a feature code mapping rule for 18 parameters, including "material name and pressure rating," to unify different descriptions; it automatically matches quotas and retrieves material dimensions to calculate quantities based on standardized parameters; it performs compliance checks on the specifications, quantities, and numbers of the obtained PDF material list, displaying materials that do not meet the standards and prompting users to revise them, ultimately improving the accuracy of quantity surveying and significantly reducing the risk of cost deviations.

[0079] The technology offers significant advantages in standard compatibility. Traditional manual quantity surveying requires re-evaluating material description rules and dimensional standards for different projects (domestic / overseas) and design institutes. Furthermore, existing auxiliary software cannot simultaneously support multiple standards such as Chinese national standards (ASME / ASTM / API), American standards (GB / GB / T), petrochemical industry standards (SH / SH / T), and dimensional calculations based on various standards including ASME B16.9 (American standard pipe fittings) and GB / T12459 (Chinese standard pipe fittings). It can also import owner-customized parameter standards (such as insulation material thickness standards and corrosion protection code rules), making it suitable for various scenarios, including domestic petrochemical projects and overseas oilfield projects.

[0080] To reduce enterprise operating costs, existing technologies require specialized quantity surveyors (familiar with quotas, standards, drawing interpretation, and mastery of various design institute standards), resulting in high labor costs and long training periods. While existing auxiliary software reduces some workload, it still requires professional personnel to operate, limiting the reduction in labor costs. This patented technology, through automation and standardization, allows non-professionals to operate it after a few days of training, without requiring in-depth knowledge of quotas and standards. It also avoids rework caused by quantity surveying errors, significantly reducing the enterprise's labor and rework costs.

[0081] In other embodiments, a storage medium is also provided, which stores a computer program or computer instructions that, when executed by a computer processor, implement the steps of the above-described intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects.

[0082] The storage medium can be an internal storage unit of any data processing device described in any of the foregoing embodiments, such as a hard disk or memory. The storage medium can also be an external storage device of any data processing device, such as a plug-in hard disk, smart memory card, SD card, flash memory card, etc., mounted on the device. Furthermore, the storage medium can include both internal storage units and external storage devices of any data processing device. The computer-readable storage medium is used to store the computer program and other programs and data required by the data processing device, and can also be used to temporarily store data that has been output or will be output.

[0083] In other embodiments, a computer is also provided, including a memory and one or more processors, wherein the memory stores executable code, and when the one or more processors execute the executable code, they implement the steps of the above-described intelligent calculation method for engineering quantities of petrochemical and natural gas pipeline projects.

[0084] The memory can be an internal storage unit of any data processing device described in any of the foregoing embodiments, such as a hard disk or RAM. The memory can also be an external storage device of any data processing device, such as a plug-in hard disk, smart memory card, SD card, flash memory card, etc., mounted on the device. Furthermore, the memory can include both internal storage units and external storage devices of any data processing device. The memory is used to store the computer program and other programs and data required by the data processing device, and can also be used to temporarily store data that has been output or will be output.

[0085] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the concept and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligently calculating the quantities of petrochemical and natural gas pipeline projects, characterized in that, Includes the following steps: Identify engineering data in pipe isometric drawings; The engineering data is standardized to obtain standardized engineering data; Construct a database of quota standards; The quota is matched between the engineering data and the data in the quota standard database; The engineering quantity is calculated using the engineering data after quota matching.

2. The intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects according to claim 1, characterized in that, Identifying engineering data in pipe isometric drawings includes the following steps: Identify the material list in the pipe isometric drawing and analyze the text information in the material list; Regular expressions are used to extract component parameters from the text information in the material list; wherein, the engineering data includes the component parameters.

3. The intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects according to claim 2, characterized in that, The engineering data is standardized to obtain standardized engineering data, which includes the following steps: Construct a database of engineering standard parameters for multiple different engineering standard categories; The component parameters are matched with data in multiple engineering standard parameter databases to identify the engineering standard category corresponding to the component parameters. The component parameters are identified based on the matched engineering standard category to extract the parameter data from the component parameters. The parameter data from the identified component parameters are converted into preset standard data to obtain the standardized engineering data.

4. The intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects according to claim 3, characterized in that, The database contains engineering standard parameters for multiple different engineering standard categories, including engineering standard parameter databases from multiple countries and multiple companies.

5. The method for intelligently calculating the engineering quantities of petrochemical and natural gas pipeline projects according to claim 3, characterized in that, The component parameters include at least the component material parameters, component process parameters, and component construction parameters.

6. The intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects according to claim 5, characterized in that, The construction of a quota standard database includes the following steps: Based on the measurement strategy in the preset installation engineering budget quota standard, create quota numbers and quota base prices corresponding to different material parameters, process parameters and construction parameters; The quota standard database is constructed by using the quota number and quota base price corresponding to different material parameters, process parameters and construction parameters.

7. The intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects according to claim 5, characterized in that, Matching the project data with the data in the quota standard database involves the following steps: The component material parameters, component process parameters, and component construction parameters are matched with the material parameters, process parameters, and construction parameters in the quota standard database to obtain the quota number and quota base price.

8. The intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects according to claim 7, characterized in that, The calculation of project quantities using the project data after quota matching includes the following steps: The quantity of work is calculated based on the material parameters, process parameters, and construction parameters of the components, as well as the corresponding quota number and quota base price.

9. The intelligent calculation method for the engineering quantities of petrochemical and natural gas pipeline projects according to claim 1, characterized in that, The file format of the pipeline isometric drawing is a portable file format.

10. A system employing the intelligent quantity calculation method for petrochemical and natural gas pipeline engineering as described in any one of claims 1 to 9, characterized in that, include: The drawing recognition module is used to recognize engineering data in pipe isometric drawings; The standardization module is used to standardize the engineering data to obtain standardized engineering data; The database construction module is used to build the quota standard database; The engineering quantity intelligent calculation module is used to match the engineering data with the data in the quota standard database; and to calculate the engineering quantity using the engineering data after quota matching.

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