CN115952327B - Engineering list data extraction method and device, controller and storage medium - Google Patents
Engineering list data extraction method and device, 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 corresponding engineering characteristic values from a preset engineering list database according to the coding information; obtaining engineering feature names according to the engineering feature values and a preset engineering list data extraction model; the coding information, the engineering feature names and the engineering feature values are combined into target engineering list data, so that key features in the engineering list data can be accurately extracted, and the extraction accuracy 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 list data, a controller, and a storage medium.
Background
At present, in the related art, for the same list item, even if the same list code exists, the item list feature name and the corresponding feature value also have larger difference, engineering cost personnel often describe the item feature according to own habit and experience, so that the list feature description data cannot be accurately identified and positioned, in the traditional method, after the item feature name and the item feature value are usually required to be separated, but the process is easily interfered by context, and the accuracy of the separated and extracted result is low.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides a method and a device for extracting engineering list data, a controller and a storage medium, which can improve the extraction precision of the engineering 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 corresponding engineering characteristic values from a preset engineering list database according to the coding information; obtaining engineering feature names according to the engineering feature values and a preset engineering list data extraction model; and combining the coding information, the engineering feature name and the engineering feature value into target engineering list data.
The engineering list data extraction method provided by the embodiment of the application has at least the following beneficial effects: 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 one-to-one correspondence among the coding information, the engineering characteristic names and the engineering characteristic values is realized, the interference of the context is avoided, and the accuracy of engineering data extraction is greatly improved.
According to some embodiments of the application, the engineering list database is obtained by: acquiring preset historical list data and standard list data; constructing a history list database according to the history list data; constructing a standard list data catalog according to the standard list data; and combining the history list database and the standard list database catalog into the engineering list database.
According to some embodiments of the application, the history list database includes an engineering feature code corresponding to the coding information, and the engineering feature value corresponding to the engineering feature code, and the extracting the corresponding engineering feature value from a preset engineering list database according to the coding information includes: extracting corresponding engineering feature codes from the history 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 includes a history item code and a history item feature value, and the constructing a history list database according to the history list data includes: performing 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 feature code and the first correction feature value to obtain a second correction feature code and a second correction feature value; performing first format conversion processing 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 history list database according to the engineering feature codes and the engineering feature values.
According to some embodiments of the application, the standard inventory data directory includes standard feature codes and standard feature names, and before the engineering feature names are obtained according to the engineering feature values and a preset engineering inventory data extraction model, the method further includes: extracting the corresponding standard characteristic codes from the standard list data directory base according to the coding information; obtaining the corresponding standard feature names according to the standard feature codes; and matching according to the engineering characteristic value and the standard characteristic name to obtain a corresponding engineering name label.
According to some embodiments of the application, the engineering feature value includes a start position and an end position, and the obtaining the engineering feature name according to the engineering feature value and a preset engineering list data extraction model includes: labeling the starting position, the ending position and the engineering name label to obtain a sequence label; and obtaining the engineering feature names according to the sequence labels and the engineering list data extraction model.
According to some embodiments of the application, the labeling the starting position, the ending position and the engineering name label, and after obtaining 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 engineering list data extraction apparatus, 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 corresponding engineering characteristic values from a preset engineering list database according to the coding information; the fourth processing module is used for obtaining engineering feature names according to the engineering feature values and a preset engineering list data extraction model; and a fifth processing module, configured to combine the encoded information, the engineering feature name and the engineering feature value into target engineering list data.
In a third aspect, an embodiment of the present application provides a controller, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the engineering list data extraction method according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions for performing the engineering list data extraction method according to the first aspect.
Additional aspects and advantages of the 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 application.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate and do not limit the application.
FIG. 1 is a schematic diagram of a system architecture platform for performing an engineering list data extraction method according to an embodiment of the present application;
FIG. 2 is an overall flow chart of a method for engineering list data extraction provided by an embodiment of the present application;
FIG. 3 is a flowchart showing a step S300 of the engineering list data extraction method according to an embodiment of the present application;
FIG. 4 is another specific flowchart of step S300 of the engineering list data extraction method according to one embodiment of the present application;
FIG. 5 is a flowchart showing a step S320 of the engineering list data extraction method according to an embodiment of the present application;
FIG. 6 is a flowchart showing a step S400 of the engineering list data extraction method according to an embodiment of the present application;
FIG. 7 is another specific flowchart of step S400 of the engineering list data extraction method according to one embodiment of the present application;
fig. 8 is a specific flowchart of step S421 of the engineering list data extraction method according to an embodiment of the present application;
fig. 9 is a schematic diagram of an engineering list data extracting apparatus for performing an engineering list data extracting method according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
In the description of the present application, it should be understood that references to orientation descriptions such as upper, lower, front, rear, left, right, etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of description of the present application and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application.
In the description of the present application, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed 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 explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present application can be reasonably determined by a person skilled in the art in combination with the specific contents of the technical scheme.
Embodiments of the present application will be further described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic diagram of a system architecture platform for performing an engineering list data extraction method according to an embodiment of the application.
The system architecture platform 100 of the present embodiment includes one or more processors 110 and a memory 120, and in fig. 1, one processor 110 and one memory 120 are taken as an example.
The processor 110 and the memory 120 may be connected by a bus or otherwise, which is illustrated in FIG. 1 as a bus connection.
Memory 120, as a non-transitory computer-readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer-executable programs. In addition, 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 implementations, the memory 120 optionally includes memory 120 remotely located relative to the processor 110, which may be connected to the 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 structure shown in fig. 1 is not limiting of the system architecture platform 100 and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
In the system architecture platform 100 shown in fig. 1, the processor 110 may be configured to invoke a control program of the multi-split air conditioner stored in the memory 120, thereby implementing an engineering list data extraction method.
Based on the hardware structure of the system architecture platform 100, various embodiments of the multi-split air conditioner of the present application are provided.
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-mentioned hardware structures of the system architecture platform 100 and the multi-split air conditioner, various embodiments of the engineering list data extraction method of the present application are presented.
As shown in fig. 2, fig. 2 is an overall flowchart of a method for extracting engineering list data according to an embodiment of the present application. The extraction method includes, but is not limited to, steps S100 to S500.
Step S100, acquiring an engineering list data extraction request;
step S200, analyzing the engineering list data extraction request to obtain coding information;
step S300, extracting corresponding engineering characteristic values from a preset engineering list database according to the coding information;
step S400, obtaining engineering feature names according to engineering feature values and a preset engineering list data extraction model;
and S500, combining the coding information, the engineering characteristic name and the engineering characteristic value into target engineering list data.
Specifically, firstly, an engineering list data extraction request is obtained, the engineering list data request comprises a certain engineering feature coding information, the engineering list data extraction request is analyzed to obtain the coding information, a corresponding engineering feature value is 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 a corresponding engineering feature name, and finally the coding information, the engineering feature name and the engineering feature value are combined into a target engineering list and output.
As shown in fig. 3, fig. 3 is a specific flowchart of step S300 of the engineering list data extraction method 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, a history list database is constructed according to the history list data;
s330, constructing a standard list data catalog according to the standard list data;
step S340, combining the history list database and the standard list database catalog into an engineering list database.
Specifically, in engineering projects, the engineering project comprises history list data and standard list data, preset history list data and standard list data are obtained, a history list database and a standard list database are respectively constructed according to the history list data and the standard list data, and the history list data and the standard list data 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 engineering list data extraction method according to an embodiment of the present application. The extraction method includes, but is not limited to, step S351 and step S352.
S351, extracting corresponding engineering feature codes from a history list database according to the coding information;
and step S352, determining a corresponding engineering characteristic value according to the engineering characteristic code.
Specifically, the history list database includes engineering feature codes corresponding to the coding information and engineering feature values corresponding to the engineering feature codes, the engineering feature codes are matched to be consistent from the history list database according to the coding information, then the corresponding engineering feature values are determined according to the engineering feature codes, and the engineering feature values are extracted.
As shown in fig. 5, fig. 5 is a specific flowchart of step S320 of the engineering list data extraction method according to an embodiment of the present application. The extraction method includes, but is not limited to, steps S321 to S324.
Step S321, performing 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, deleting repeated values of the first correction feature code and the first correction feature value to obtain a second correction feature code and a second correction feature value;
step S323, performing first format conversion processing on the second correction feature code and the second correction feature value to obtain an engineering feature code and an engineering feature value;
and step S324, constructing a history list database according to the engineering characteristic codes and the engineering characteristic values.
Specifically, the history list data comprises a history item code and a history item characteristic value, and error correction processing is carried out on the history item code and the history item characteristic value in the history data to obtain a first correction code and a first correction characteristic value.
The error correction process corrects the error code in the history item code, corrects the wrongly written word in the history item, and if the history item code and the history item feature value are correct, sets the history item code and the history item feature value as the first correction code and the first correction feature value.
Specifically, after the first correction code and the first correction characteristic value are obtained, the first correction code and the first correction characteristic value are subjected to repeated value deleting processing to obtain the second correction code and the second correction characteristic value.
The repeated value deleting process deletes the repeated portions of the first correction code and the first correction characteristic value, and if the first correction code and the first correction characteristic value have no repeated portions, sets the first correction code and the first correction characteristic value as the second correction code and the second correction characteristic value.
Specifically, after the second correction code and the second correction characteristic value are obtained, the first format conversion processing is performed on the second correction code and the second correction characteristic value, so as to obtain the engineering characteristic code and the engineering characteristic value.
The first format conversion process converts the second correction code and the second correction code into text formats to obtain engineering feature codes and engineering feature values.
As shown in fig. 6, fig. 6 is a specific flowchart of step S400 of the engineering list data extraction method according to an embodiment of the present application. 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 base according to the code information;
step S412, obtaining corresponding standard feature names according to standard feature codes;
and step S413, matching according to the engineering characteristic value and the standard characteristic name to obtain a corresponding engineering 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 a preset engineering list data extraction model, 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 the corresponding engineering name labels are obtained according to the engineering feature values and the standard feature names.
For example, if the code information is 010101001, the same standard feature codes are obtained in the standard list database, namely 010101001, then standard special names corresponding to the standard feature codes, such as "soil category" and "soil picking distance", are obtained, when the engineering feature value corresponding to the code information is extracted as "three types of soil", the "three types of soil" are matched, and the corresponding engineering name label is obtained by matching.
As shown in fig. 7, fig. 7 is another specific flowchart of step S400 of the engineering list data extraction method according to an embodiment of the present application. The extraction method includes, but is not limited to, step S421 and step S422.
Step S421, marking the starting position, the ending position and the engineering name label to obtain a sequence mark;
and step 422, obtaining the engineering feature names according to the sequence labels and the engineering list data extraction model.
Specifically, when the engineering characteristic value and a preset engineering list data extraction model obtain the engineering characteristic name, firstly marking the actual position, the termination position and the engineering name label of the engineering characteristic value to obtain a sequence mark, and then inputting the sequence mark into the engineering list data extraction model to obtain the corresponding engineering characteristic name.
The engineering characteristic values are exemplified by three types of soil, the three types of soil and the corresponding engineering name labels are marked, the sequence labels containing the three types of soil and the corresponding engineering name labels are obtained, and then the sequence labels are input into an engineering list data extraction model to obtain the corresponding engineering characteristic names of soil types.
As shown in fig. 8, fig. 8 is a specific flowchart of step S421 of the engineering list data extraction method according to an embodiment of the present application. The extraction method includes, but is not limited to, step S431.
Step S431, save the sequence label and process the second format conversion.
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 a text format into a file in a jsonl format to be input into an engineering 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 list data extraction model needs to process, and the converted format is not specifically limited herein.
Based on the above-described engineering list data extraction method, respective embodiments of the engineering list data extraction apparatus, the controller, and the computer-readable storage medium of the present application are respectively set forth below.
As shown in fig. 9, an embodiment of the present application provides an engineering list data extracting apparatus 200, including: a first processing module 210, configured to obtain an engineering list data extraction request; the second processing module 220 is configured to analyze the engineering list data extraction request to obtain encoded information; the third processing module 230 is configured to extract a corresponding engineering characteristic value from a preset engineering list database according to the coding information; a fourth processing module 240, configured to obtain an engineering feature name according to the engineering feature value and a preset engineering list data extraction model; the fifth processing module 250 is configured to combine the encoded information, the engineering feature name and the engineering feature value into the target engineering list data.
It should be noted that the engineering list data extraction apparatus according to the embodiment of the present application may include the processor and the 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 engineering list data extraction method.
According to the technical scheme of the embodiment of the application, 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 the context is avoided, and the accuracy of engineering data extraction is greatly improved.
It should be noted that, since the controller of the embodiment of the present application is capable of executing the engineering list data extraction method of the foregoing embodiment, specific implementation and technical effects of the engineering list data extraction apparatus of the embodiment of the present application may refer to specific implementation and technical effects of the engineering list data extraction method of any one of the foregoing embodiments.
In addition, one 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 the 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 in the embodiment shown in fig. 1, which belong to the same application concept, so that the processor and the memory have the same implementation principle and beneficial effects, which are not described in detail herein.
The non-transitory software programs and instructions required to implement the engineering manifest data extraction method of the above embodiments are stored in the memory and when executed by the processor, perform the engineering manifest data extraction method of the above embodiments.
According to the technical scheme of the embodiment of the application, 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 the context is avoided, and the accuracy of engineering data extraction is greatly improved.
It should be noted that, since the controller of the embodiment of the present application is capable of executing the engineering list data extraction method of the foregoing embodiment, specific implementation and technical effects of the controller of the embodiment of the present application may refer to specific implementation and technical effects of the engineering list data extraction method of any one of the foregoing embodiments.
Furthermore, an embodiment of the present application also provides a computer-readable storage medium storing computer-executable instructions for performing the above-described control method. Illustratively, the method steps in fig. 2-8 described above are performed.
According to the technical scheme of the embodiment of the application, 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 the context is avoided, and the accuracy of engineering data extraction is greatly improved.
It should be noted that, since the computer readable storage medium according to the embodiment of the present application can implement the engineering list data extraction method according to the above embodiment, the specific implementation and technical effects of the computer readable storage medium according to the embodiment of the present application may refer to the specific implementation and technical effects of the engineering list data extraction method according to any one of the above embodiments.
Those 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 both 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 known to those skilled 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 be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically include 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 may include any information delivery media.
While the preferred embodiment of the present application has been described in detail, the present application 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 and scope of the present application, and these equivalent modifications or substitutions are included in the scope of the present application as defined in the appended claims.
Claims (7)
1. An engineering list data extraction method, comprising the steps of:
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, wherein the engineering list database comprises a history list database and a standard list database, the history list database comprises engineering characteristic codes corresponding to the coding information and the engineering characteristic value corresponding to the engineering characteristic codes, the standard list database comprises standard characteristic codes and standard characteristic names, and the history list database is obtained by the following steps: acquiring preset history list data; constructing the history list database according to the history list data; the extracting the corresponding engineering characteristic value from a preset engineering list database according to the coding information comprises the following steps:
extracting corresponding engineering feature codes from the history list database according to the coding information;
determining the corresponding engineering characteristic value according to the engineering characteristic code, wherein the engineering characteristic value comprises a starting position and an ending position;
extracting the corresponding standard characteristic codes from the standard list data directory base according to the coding information;
obtaining the corresponding standard feature names according to the standard feature codes;
matching is carried out according to the engineering characteristic value and the standard characteristic name, and a corresponding engineering name label is obtained;
labeling the starting position, the ending position and the engineering name label to obtain a sequence label;
obtaining engineering feature names according to the sequence labels and the engineering list data extraction model;
and combining the coding information, the engineering feature name and the engineering feature value into target engineering list data.
2. The engineering list data extraction method according to claim 1, wherein the engineering list database is obtained by:
obtaining standard list data;
constructing the standard list data directory base according to the standard list data;
and combining the history list database and the standard list database catalog into the engineering list database.
3. The method of claim 1, wherein the history list data includes a history item code and a history item feature value, and wherein constructing a history list database from the history list data comprises:
performing 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 feature code and the first correction feature value to obtain a second correction feature code and a second correction feature value;
performing first format conversion processing 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 history list database according to the engineering feature codes and the engineering feature values.
4. The method for extracting engineering list data according to claim 1, wherein the labeling of the start position, the end position and the engineering name tag, after obtaining a labeling sequence, further comprises:
and storing the sequence labels and performing second format conversion processing.
5. An engineering list 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 executing the following operations:
extracting a corresponding engineering characteristic value from a preset engineering list database according to the coding information, wherein the engineering list database comprises a history list database and a standard list database, the history list database comprises engineering characteristic codes corresponding to the coding information and the engineering characteristic value corresponding to the engineering characteristic codes, the standard list database comprises standard characteristic codes and standard characteristic names, and the history list database is obtained by the following steps: acquiring preset history list data; constructing the history list database according to the history list data;
the extracting the corresponding engineering characteristic value from a preset engineering list database according to the coding information comprises the following steps:
extracting corresponding engineering feature codes from the history list database according to the coding information;
determining the corresponding engineering characteristic value according to the engineering characteristic code, wherein the engineering characteristic value comprises a starting position and an ending position;
extracting the corresponding standard characteristic codes from the standard list data directory base according to the coding information;
obtaining the corresponding standard feature names according to the standard feature codes;
matching according to the engineering characteristic value and the standard characteristic name to obtain a corresponding engineering name label
The fourth processing module is used for marking the starting position, the ending position and the engineering name label to obtain a sequence mark; obtaining engineering feature names according to the sequence labels and the engineering list data extraction model;
and a fifth processing module, configured to combine the encoded information, the engineering feature name and the engineering feature value into target engineering list data.
6. A controller, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the engineering list data extraction method according to any one of claims 1 to 4 when the computer program is executed.
7. A computer-readable storage medium, characterized by: stored are computer-executable instructions for performing the engineering list data extraction method according to any one of claims 1 to 4.
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| 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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