CN115952327A - Method and device for extracting project list data, controller and storage medium - Google Patents
Method and device for extracting project list data, controller and storage medium Download PDFInfo
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Abstract
The application provides an engineering list data extraction method and device, a controller and a storage medium, wherein the method comprises the following steps: acquiring an engineering list data extraction request; analyzing the engineering list data extraction request to obtain coding information; extracting a corresponding engineering characteristic value from a preset engineering list database according to the coding information; extracting a model according to the project characteristic value and preset project list data to obtain a project characteristic name; the coding information, the engineering feature names and the engineering feature values are combined into target engineering list data, so that the key features in the engineering list data can be accurately extracted, and the extraction precision of the engineering list data is improved.
Description
Technical Field
The present application relates to the field of engineering data processing technologies, and in particular, to a method and a system for extracting engineering manifest data, a controller, and a storage medium.
Background
At present, in the related art, for the same list item, even if the same list item has the same list code, the item list feature name and the corresponding feature value have a large difference, and engineering cost personnel often describe the item feature according to their own habits and experiences, so that the list feature description data cannot be accurately identified and positioned, and after the item feature name and the item feature value are usually required to be separated in the conventional method, the process is easily interfered by context, so that the accuracy of the result of separation and extraction is low.
Disclosure of Invention
The present application is directed to solving at least one of the problems in the prior art. Therefore, the application provides a method and a device for extracting the project list data, a controller and a storage medium, which can improve the extraction precision of the project list data.
In a first aspect, an embodiment of the present application provides a method for extracting engineering list data, where the method includes: acquiring an engineering list data extraction request; analyzing the engineering list data extraction request to obtain coding information; extracting a corresponding engineering characteristic value from a preset engineering list database according to the coding information; extracting a model according to the engineering characteristic value and preset engineering list data to obtain an engineering characteristic name; and combining the coding information, the engineering feature name and the engineering feature value into target engineering list data.
The method for extracting the project list data has the following beneficial effects: the corresponding engineering characteristic value is extracted from the preset engineering database according to the coding information, and then the name corresponding to the engineering characteristic value is obtained according to the engineering characteristic value and the preset engineering list data extraction model, so that the one-to-one correspondence among the coding information, the engineering characteristic name and the engineering characteristic value is realized, the interference of context is avoided, and the accuracy of engineering data extraction is greatly improved.
According to some embodiments of the application, the project inventory database is obtained by: acquiring preset historical list data and standard list data; constructing a historical list database according to the historical list data; constructing a standard list data directory library according to the standard list data; and combining the historical list database and the standard list data directory database into the engineering list database.
According to some embodiments of the present application, the history list database includes an engineering feature code corresponding to the encoding information and the engineering feature value corresponding to the engineering feature code, and the extracting the corresponding engineering feature value from the preset engineering list database according to the encoding information includes: extracting corresponding engineering feature codes from the historical list database according to the coding information; and determining the corresponding engineering characteristic value according to the engineering characteristic code.
According to some embodiments of the application, the history list data comprises history item codes and history item feature values, and the building of the history list database according to the history list data comprises: carrying out error correction processing on the historical item codes and the historical item characteristic values to obtain first correction characteristic codes and first correction characteristic values; performing duplicate value deletion processing on the first correction characteristic code and the first correction characteristic value to obtain a second correction characteristic code and a second correction characteristic value; performing a first format conversion process on the second correction feature code and the second correction feature value to obtain the engineering feature code and the engineering feature value; and constructing the historical list database according to the engineering feature codes and the engineering feature values.
According to some embodiments of the present application, the standard manifest data directory library includes standard feature codes and standard feature names, and before obtaining the engineering feature names according to the engineering feature values and a preset engineering manifest data extraction model, the method further includes: extracting the corresponding standard feature codes from the standard list data directory library according to the coding information; obtaining the corresponding standard feature name according to the standard feature code; and matching according to the project characteristic value and the standard characteristic name to obtain a corresponding project name label.
According to some embodiments of the present application, the engineering feature value includes a start position and an end position, and the extracting a model according to the engineering feature value and preset engineering list data to obtain an engineering feature name includes: labeling the starting position, the ending position and the project name label to obtain a sequence label; and obtaining the project characteristic name according to the sequence label and the project list data extraction model.
According to some embodiments of the present application, after the labeling the starting location, the ending location, and the project name tag to obtain a labeling sequence, the method further includes: and storing the sequence labels and performing second format conversion processing.
In a second aspect, an embodiment of the present application further provides an apparatus for extracting engineering list data, including: the first processing module is used for acquiring an engineering list data extraction request; the second processing module is used for analyzing the engineering list data extraction request to obtain coding information; the third processing module is used for extracting a corresponding engineering characteristic value from a preset engineering list database according to the coding information; the fourth processing module is used for extracting a model according to the project characteristic value and preset project list data to obtain a project characteristic name; and the fifth processing module is used for combining the coding information, the engineering characteristic name and the engineering characteristic value into target engineering list data.
In a third aspect, an embodiment of the present application provides a controller, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the method of extracting engineering list data according to the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions for performing the method for extracting engineering bill data according to the first aspect.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The accompanying drawings are included to provide a further understanding of the claimed subject matter and are incorporated in and constitute a part of this specification, illustrate embodiments of the subject matter and together with the description serve to explain the principles of the subject matter and not to limit the subject matter.
FIG. 1 is a schematic diagram of a platform architecture of a system for performing a method for extracting data from an engineering bill according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating an overall process of a method for extracting data from an engineering bill according to an embodiment of the present disclosure;
fig. 3 is a detailed flowchart of the step S300 of the method for extracting engineering list data according to an embodiment of the present application;
FIG. 4 is another detailed flowchart of the step S300 of the method for extracting data from a project list according to an embodiment of the present application;
fig. 5 is a detailed flowchart of step S320 of the method for extracting engineering list data according to an embodiment of the present application;
fig. 6 is a detailed flowchart of the step S400 of the method for extracting engineering list data according to an embodiment of the present application;
FIG. 7 is another detailed flowchart of the step S400 of the method for extracting engineering bill data according to an embodiment of the present application;
fig. 8 is a detailed flowchart of step S421 of the method for extracting engineering list data according to an embodiment of the present application;
fig. 9 is a schematic diagram of an engineering bill data extraction device for executing an engineering bill data extraction method according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
In the description of the present application, it is to be understood that the positional descriptions, such as the directions of up, down, front, rear, left, right, etc., referred to herein are based on the directions or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, and do not indicate or imply that the referred device or element must have a specific direction, be constructed and operated in a specific direction, and thus, should not be construed as limiting the present application.
In the description of the present application, the meaning of a plurality is one or more, the meaning of a plurality is two or more, and larger, smaller, larger, etc. are understood as excluding the present number, and larger, smaller, inner, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present application, unless otherwise specifically limited, terms such as set, installed, connected and the like should be understood broadly, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present application in combination with the specific contents of the technical solutions.
The embodiments of the present application will be further explained with reference to the drawings.
As shown in fig. 1, fig. 1 is a schematic diagram of a system architecture platform for executing an engineering bill data extraction method according to an embodiment of the present application.
The system architecture platform 100 of the present embodiment includes one or more processors 110 and a memory 120, and fig. 1 illustrates one processor 110 and one memory 120 as an example.
The processor 110 and the memory 120 may be connected by a bus or other means, such as the bus connection shown in FIG. 1.
The memory 120, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer-executable programs. Further, the memory 120 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 120 optionally includes memory 120 located remotely from processor 110, which may be connected to system architecture platform 100 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Those skilled in the art will appreciate that the device architecture shown in fig. 1 does not constitute a limitation of system architecture platform 100, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
In the system architecture platform 100 shown in fig. 1, the processor 110 may be configured to call a control program of the multi-split air conditioner stored in the memory 120, so as to implement the method for extracting the engineering list data.
Based on the hardware structure of the system architecture platform 100, various embodiments of the multi-split air conditioner of the present application are proposed.
As shown in fig. 2, fig. 2 is a schematic structural diagram of a multi-split air conditioner according to an embodiment of the present application.
Based on the above system architecture platform 100 and the hardware structure of the multi-split air conditioner, embodiments of the method for extracting the engineering list data of the present application are provided.
As shown in fig. 2, fig. 2 is an overall flowchart of an engineering bill data extraction method according to an embodiment of the present application. The extraction method includes, but is not limited to, steps S100 to S500.
S100, acquiring a project list data extraction request;
s200, analyzing the request for extracting the engineering list data to obtain coding information;
step S300, extracting a corresponding project characteristic value from a preset project list database according to the coding information;
s400, extracting a model according to the project characteristic value and preset project list data to obtain a project characteristic name;
and step S500, combining the coding information, the engineering characteristic name and the engineering characteristic value into target engineering list data.
Specifically, an engineering list data extraction request is obtained, the engineering list data extraction request comprises certain engineering characteristic coding information, the engineering list data extraction request is analyzed to obtain the coding information, corresponding engineering characteristic values are extracted from a preset engineering list database according to the coding information, then the engineering information is input into a preset engineering list data extraction model to obtain corresponding engineering characteristic names, and finally the coding information, the engineering characteristic names and the engineering characteristic values are combined into a target engineering list and output.
As shown in fig. 3, fig. 3 is a detailed flowchart of step S300 of the method for extracting engineering list data according to an embodiment of the present application. The extraction method includes, but is not limited to, steps S311 to S314.
Step S310, acquiring preset historical list data and standard list data;
step S320, constructing a historical list database according to the historical list data;
step S330, a standard list data directory library is constructed according to the standard list data;
and step S340, combining the historical list database and the standard list database into a project list database.
Specifically, in the engineering project, the engineering project generally includes history list data and standard list data, preset history list data and standard list data are acquired, a history list database and a standard list data catalog database are respectively constructed according to the history list data and the standard list data, and the two databases are combined to obtain an engineering list data database.
As shown in fig. 4, fig. 4 is another specific flowchart of step S300 of the method for extracting data from an engineering list according to an embodiment of the present application. The extraction method includes, but is not limited to, step S351 and step S352.
Step S351, extracting corresponding engineering feature codes from a historical list database according to the coding information;
and S352, determining a corresponding engineering characteristic value according to the engineering characteristic code.
Specifically, the historical list database comprises engineering characteristic codes corresponding to the coding information and engineering characteristic values corresponding to the engineering characteristic codes, consistent engineering characteristic codes are matched from the historical list database according to the coding information, then the corresponding engineering characteristic values are determined according to the engineering characteristic codes, and the engineering characteristic values are extracted.
As shown in fig. 5, fig. 5 is a specific flowchart of step S320 of the method for extracting data from a project list according to an embodiment of the present disclosure. The extraction method includes, but is not limited to, steps S321 to S324.
Step S321, carrying out error correction processing on the historical item codes and the historical item characteristic values to obtain first correction characteristic codes and first correction characteristic values;
step S322, carrying out repeated value deletion processing on the first correction characteristic code and the first correction characteristic value to obtain a second correction characteristic code and a second correction characteristic value;
step S323, carrying out first format conversion processing on the second correction characteristic code and the second correction characteristic value to obtain an engineering characteristic code and an engineering characteristic value;
and S324, constructing a historical list database according to the engineering feature codes and the engineering feature values.
Specifically, the history list data includes history item codes and history item feature values, and the error correction processing is performed on the history item codes and the history item feature values in the history data to obtain first correction codes and first correction feature values.
The error correction processing is to correct an error code in the history item code, correct a wrongly written word in the history item, and set the history item code and the history item feature value as the first correction code and the first correction feature value if the history item code and the history item feature value are correct.
Specifically, after the first correction code and the first correction characteristic value are obtained, repeated value deletion processing is performed on the first correction code and the first correction characteristic value, so that a second correction code and a second correction characteristic value are obtained.
In addition, the duplicate value deletion process deletes the duplicate portion of the first correction code and the first correction feature value, and sets the first correction code and the first correction feature value as the second correction code and the second correction feature value if there is no duplicate portion between the first correction code and the first correction feature value.
Specifically, after the second correction code and the second correction eigenvalue are obtained, the first format conversion processing is performed on the second correction code and the second correction eigenvalue, so as to obtain the engineering eigen code and the engineering eigen value.
It should be noted that the first format conversion processing is to convert the second correction code and the second correction code into a text format to obtain the engineering feature code and the engineering feature value.
As shown in fig. 6, fig. 6 is a detailed flowchart of step S400 of the method for extracting data from a project list according to an embodiment of the present disclosure. The extraction method includes, but is not limited to, steps S411 to S413.
Step S411, extracting corresponding standard feature codes from a standard list data directory library according to the coding information;
step S412, obtaining a corresponding standard feature name according to the standard feature code;
and step S413, matching according to the project characteristic value and the standard characteristic name to obtain a corresponding project name label.
Specifically, the standard list data directory library comprises standard feature codes and standard feature names, before the engineering feature names are obtained according to engineering feature values and preset engineering list data extraction models, the standard feature codes consistent with the coding information are matched from the standard list data directory library according to the coding information, then the corresponding standard feature names are obtained according to the standard feature codes, and finally matching is carried out according to the engineering feature values and the standard feature names to obtain corresponding engineering name labels.
Illustratively, if the encoding information is 010101001, the same standard feature code, namely 010101001, is obtained in the standard list data directory library, then the standard feature names corresponding to the standard feature codes, such as the 'soil type' and the 'earth taking distance', are obtained, when the engineering feature value extracted corresponding to the encoding information is 'three types of soil', the 'three types of soil' are matched, and the corresponding engineering name label is obtained through matching.
As shown in fig. 7, fig. 7 is another specific flowchart of step S400 of the method for extracting engineering list data according to an embodiment of the present application. The extracting method includes, but is not limited to, step S421 and step S422.
Step S421, labeling the starting position, the ending position and the project name label to obtain a sequence label;
and S422, extracting the model according to the sequence labels and the project list data to obtain the project characteristic name.
Specifically, the engineering characteristic value comprises a starting position and an ending position, when the engineering characteristic value and a preset engineering list data extraction model obtain an engineering characteristic name, firstly, the real position, the ending position and an engineering name label of the engineering characteristic value are labeled to obtain a sequence label, and then the sequence label is input into the engineering list data extraction model to obtain a corresponding engineering characteristic name.
Illustratively, the engineering characteristic value is 'three types of soil', the 'three' and 'soil' and the corresponding engineering name labels are labeled to obtain sequence labels containing the 'three' and 'soil' and the corresponding engineering name labels, and then the sequence labels are input into the engineering list data extraction model to obtain the corresponding engineering characteristic name 'soil type'.
As shown in fig. 8, fig. 8 is a specific flowchart of step S421 of the method for extracting engineering list data according to an embodiment of the present application. The extraction method includes, but is not limited to, step S431.
And step S431, saving the sequence labels and performing second format conversion processing.
Specifically, after the sequence label is obtained, the sequence label is stored and subjected to second format conversion processing, wherein the second format conversion processing is to convert the sequence label in the text format into a file in a json format to be input into the project list data extraction model for processing.
It is understood that the second format conversion process may be converted into other formats according to the format that the engineering bill data extraction model needs to process, and the converted format is not specifically limited herein.
Based on the above-mentioned method for extracting the engineering bill data, the following respectively proposes various embodiments of the apparatus for extracting engineering bill data, the controller and the computer-readable storage medium of the present application.
As shown in fig. 9, an embodiment of the present application provides an engineering bill data extraction apparatus 200, including: the first processing module 210 is configured to obtain an extraction request of the engineering list data; the second processing module 220 is configured to analyze the request for extracting the engineering list data to obtain encoding information; the third processing module 230 is configured to extract a corresponding engineering characteristic value from a preset engineering list database according to the encoding information; a fourth processing module 240, configured to extract a model according to the engineering feature value and preset engineering bill data to obtain an engineering feature name; a fifth processing module 250, configured to combine the encoding information, the engineering feature name, and the engineering feature value into target engineering list data.
It should be noted that the device for extracting engineering list data according to the embodiment of the present application may include a processor and a memory shown in fig. 1, where the processor may be in communication with the first processing module 210, the second processing module 220, the third processing module 230, the fourth processing module 240, and the fifth processing module 250, so as to implement the method for extracting engineering list data.
According to the technical scheme of the embodiment of the application, the corresponding engineering characteristic values are extracted from the preset engineering database according to the coding information, and then the names corresponding to the engineering characteristic values are obtained according to the engineering characteristic values and the preset engineering list data extraction model, so that the one-to-one correspondence among the coding information, the engineering characteristic names and the engineering characteristic values is realized, the interference of context is avoided, and the accuracy of engineering data extraction is greatly improved.
It should be noted that, since the controller according to the embodiment of the present application is capable of executing the method for extracting engineering list data according to the embodiment, the specific implementation and technical effect of the apparatus for extracting engineering list data according to the embodiment of the present application can be referred to the specific implementation and technical effect of the method for extracting engineering list data according to any one of the embodiments.
In addition, an embodiment of the present application provides a controller including: a processor, a memory, and a computer program stored on the memory and executable on the processor.
The processor and memory may be connected by a bus or other means.
It should be noted that the controller in this embodiment may include a processor and a memory as in the embodiment shown in fig. 1, both belong to the same application concept, and therefore both have the same implementation principle and beneficial effect, and are not described in detail herein.
The non-transitory software programs and instructions required to implement the engineering bill data extraction method of the above embodiment are stored in the memory, and when executed by the processor, perform the engineering bill data extraction method of the above embodiment.
According to the technical scheme of the embodiment of the application, the corresponding engineering characteristic values are extracted from the preset engineering database according to the coding information, and then the names corresponding to the engineering characteristic values are obtained according to the engineering characteristic values and the preset engineering list data extraction model, so that the one-to-one correspondence among the coding information, the engineering characteristic names and the engineering characteristic values is realized, the interference of context is avoided, and the accuracy of engineering data extraction is greatly improved.
It should be noted that, since the controller according to the embodiment of the present application is capable of executing the method for extracting engineering list data according to the embodiment, the specific implementation and technical effect of the controller according to the embodiment of the present application may refer to the specific implementation and technical effect of the method for extracting engineering list data according to any one of the embodiments.
In addition, an embodiment of the present application also provides a computer-readable storage medium storing computer-executable instructions for executing the control method described above. The method steps described above in fig. 2 to 8 are performed exemplarily.
According to the technical scheme of the embodiment of the application, the corresponding engineering characteristic values are extracted from the preset engineering database according to the coding information, and then the names corresponding to the engineering characteristic values are obtained according to the engineering characteristic values and the preset engineering list data extraction model, so that the one-to-one correspondence among the coding information, the engineering characteristic names and the engineering characteristic values is realized, the interference of context is avoided, and the accuracy of engineering data extraction is greatly improved.
It is to be noted that, since the computer-readable storage medium of the embodiment of the present application can implement the method for extracting engineering list data of the above-mentioned embodiment, a specific implementation and a technical effect of the computer-readable storage medium of the embodiment of the present application can refer to a specific implementation and a technical effect of the method for extracting engineering list data of any one of the above-mentioned embodiments.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
While the preferred embodiments of the present invention have been described, the present invention is not limited to the above embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and such equivalent modifications or substitutions are included in the scope of the present invention defined by the claims.
Claims (10)
1. A method for extracting data of an engineering list is characterized by comprising the following steps:
acquiring an engineering list data extraction request;
analyzing the engineering list data extraction request to obtain coding information;
extracting a corresponding project characteristic value from a preset project list database according to the coding information;
extracting a model according to the engineering characteristic value and preset engineering list data to obtain an engineering characteristic name;
and combining the encoding information, the engineering feature name and the engineering feature value into target engineering list data.
2. The method of claim 1, wherein the engineering bill database is obtained by:
acquiring preset historical list data and standard list data;
constructing a historical list database according to the historical list data;
constructing a standard list data directory library according to the standard list data;
and combining the historical list database and the standard list data directory database into the engineering list database.
3. The method for extracting engineering bill data according to claim 2, wherein the historical bill database includes an engineering feature code corresponding to the encoding information and the engineering feature value corresponding to the engineering feature code, and the extracting the corresponding engineering feature value from a preset engineering bill database according to the encoding information includes:
extracting corresponding engineering feature codes from the historical list database according to the coding information;
and determining the corresponding engineering characteristic value according to the engineering characteristic code.
4. The method of claim 3, wherein the historical listing data comprises historical item codes and historical item feature values, and the building of the historical listing database according to the historical listing data comprises:
carrying out error correction processing on the historical item codes and the historical item characteristic values to obtain first correction characteristic codes and first correction characteristic values;
performing repeated value deletion processing on the first correction characteristic code and the first correction characteristic value to obtain a second correction characteristic code and a second correction characteristic value;
performing a first format conversion process on the second correction feature code and the second correction feature value to obtain the engineering feature code and the engineering feature value;
and constructing the historical list database according to the engineering feature codes and the engineering feature values.
5. The method of claim 2, wherein the standard manifest data directory library includes standard feature codes and standard feature names, and before obtaining the engineering feature names according to the engineering feature values and a preset engineering manifest data extraction model, the method further comprises:
extracting the corresponding standard feature codes from the standard list data directory library according to the coding information;
obtaining the corresponding standard feature name according to the standard feature code;
and matching according to the project characteristic value and the standard characteristic name to obtain a corresponding project name label.
6. The method for extracting engineering bill data according to claim 5, wherein the engineering feature value includes a start position and an end position, and obtaining an engineering feature name according to the engineering feature value and a preset engineering bill data extraction model includes:
labeling the starting position, the ending position and the project name label to obtain a sequence label;
and obtaining the project characteristic name according to the sequence label and the project list data extraction model.
7. The method for extracting data of engineering list according to claim 6, wherein said labeling said starting position, said ending position and said engineering name tag to obtain a labeling sequence, said method further comprises:
and storing the sequence labels and performing second format conversion processing.
8. An engineering bill data extraction device, characterized by comprising:
the first processing module is used for acquiring an engineering list data extraction request;
the second processing module is used for analyzing the engineering list data extraction request to obtain coding information;
the third processing module is used for extracting a corresponding engineering characteristic value from a preset engineering list database according to the coding information;
the fourth processing module is used for extracting a model according to the project characteristic value and preset project list data to obtain a project characteristic name;
and the fifth processing module is used for combining the coding information, the engineering characteristic name and the engineering characteristic value into target engineering list data.
9. A controller, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the computer program to perform the method of extracting work list data according to any one of claims 1 to 7.
10. A computer-readable storage medium characterized by: stored are computer-executable instructions for performing the method of extraction of engineering bill data according to any one of claims 1 to 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116579299A (en) * | 2023-04-20 | 2023-08-11 | 深圳市斯维尔科技股份有限公司 | Engineering data characteristic conversion method, device, controller and storage medium |
| CN117331991A (en) * | 2023-09-19 | 2024-01-02 | 深圳市斯维尔科技股份有限公司 | Method, device, equipment and medium for displaying engineering quantity list typical information |
| CN117472905A (en) * | 2023-10-30 | 2024-01-30 | 青矩技术股份有限公司 | Engineering quantity list processing method, engineering quantity list processing device, engineering quantity list processing equipment and computer readable storage medium |
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