CN111105172A - Spraying process flow treatment method and system - Google Patents
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Abstract
The embodiment of the invention provides a spraying process flow processing method and a spraying process flow processing system, wherein flow low-level semantic information of a spraying process flow configuration file is obtained, flow high-level semantic information of the spraying process flow configuration file is obtained according to a matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy, then semantic analysis is carried out on the flow high-level semantic information to respectively obtain flow associated information and flow characteristic information, the flow characteristic information is matched into the flow associated information in the flow associated information, the flow associated information and the flow characteristic information are subjected to flow association by using a set flow execution strategy, and then the flow associated information and the flow characteristic information corresponding to a spraying process flow optimization project are subjected to associated flow control. Therefore, the semantic meaning in the spraying process is considered, the condition that a series of spraying is inaccurate in the process of executing the process is greatly reduced, and the accuracy of the spraying result is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a spraying process flow processing method and system.
Background
At present, in a spraying process flow, semantic meanings in the spraying flow cannot be considered, so that a series of inaccurate spraying conditions can be generated in the process of flow execution, and the error rate of a final spraying result is high.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a system for processing a spraying process flow, which take semantic meanings in the spraying process into consideration, thereby greatly reducing a situation that a series of spraying operations may be inaccurate in the process of executing the flow, and improving accuracy of the spraying result.
According to an aspect of the embodiments of the present invention, there is provided a spraying process flow processing method applied to a server, the method including:
acquiring flow low-level semantic information of a spraying process flow configuration file, and acquiring flow high-level semantic information of the spraying process flow configuration file according to a matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy;
semantic analysis is carried out on the flow high-level semantic information to respectively obtain flow associated information and flow characteristic information;
matching the process characteristic information into the process associated information in the process associated information, and forming a spraying process flow processing result after the process associated information and the process characteristic information are subjected to process association by using a set process execution strategy, wherein the spraying process flow processing result comprises at least one spraying process flow optimization item;
and in the subsequent execution process of the at least one spraying process flow optimization item, performing associated flow control on the flow associated information and the flow characteristic information corresponding to the spraying process flow optimization item.
In one possible example, the step of obtaining the flow low-level semantic information of the spraying process flow configuration file and obtaining the flow high-level semantic information of the spraying process flow configuration file according to the matching relationship between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy includes:
dividing the spraying process flow configuration file into a plurality of non-overlapping spraying process flow word segmentation semantic segments according to a preset semantic recognition strategy;
determining the semantic type of the word semantic section of the spraying process flow according to the paragraph characteristics of the word semantic section of the spraying process flow;
carrying out multiple groups of semantic extraction on the spraying process flow configuration file according to multiple preset semantic extraction codes;
acquiring flow low-level semantic information of the spraying process flow configuration file according to each group of semantic extraction results and the semantic type of each spraying process flow word segmentation semantic segment;
and obtaining the flow high-level semantic information of the spraying process flow configuration file according to the matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy.
In one possible example, the step of determining the semantic type of the spraying process flow word segmentation semantic segment according to the paragraph feature of the spraying process flow word segmentation semantic segment includes:
and determining the spraying process flow word segmentation semantic segment as a complex spraying process flow word segmentation semantic segment or a simple spraying process flow word segmentation semantic segment according to the paragraph characteristics of the spraying process flow word segmentation semantic segment.
In one possible example, the step of performing multiple sets of semantic extraction on the spraying process flow configuration file according to multiple preset semantic extraction codes includes:
performing first semantic extraction on the spraying process flow configuration file according to a preset first semantic extraction code, wherein the first semantic extraction code comprises performing word segmentation on the spraying process flow configuration file by utilizing a plurality of groups of non-equidistant semantic extraction modes, and performing first semantic extraction on the spraying process flow configuration file according to word segmentation processing results;
performing second semantic extraction on the spraying process flow configuration file according to a preset second semantic extraction code; and the second semantic extraction code comprises a strategy tree semantic extraction method for performing word segmentation processing on the spraying process flow configuration file, and performing second semantic extraction on the spraying process flow configuration file according to a word segmentation processing result.
In a possible example, the step of performing associated process control on the process associated information and the process characteristic information corresponding to the spray coating process flow optimization item includes:
generating a flow script file of at least one spraying process flow optimization project, and adding identification information of an image flow script file in the flow script file of the at least one spraying process flow optimization project;
and when the spraying process flow optimization project is output, selecting one flow script file from the flow script files of the at least one spraying process flow optimization project, and performing associated flow control on flow associated information and flow characteristic information corresponding to the spraying process flow optimization project according to the identification information of the flow script file.
According to another aspect of the embodiments of the present invention, there is provided a spraying process flow processing system applied to a server, the system including:
the acquisition module is used for acquiring the flow low-level semantic information of the spraying process flow configuration file and acquiring the flow high-level semantic information of the spraying process flow configuration file according to the matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy;
the semantic analysis module is used for performing semantic analysis on the flow high-level semantic information to respectively obtain flow associated information and flow characteristic information;
the flow association module is used for matching the flow characteristic information into the flow association information in the flow association information, and forming a spraying process flow processing result after the flow association information and the flow characteristic information are subjected to flow association by using a set flow execution strategy, wherein the spraying process flow processing result comprises at least one spraying process flow optimization item;
and the association control module is used for performing association process control on the process association information and the process characteristic information corresponding to the spraying process flow optimization project in the subsequent execution process of the at least one spraying process flow optimization project.
According to another aspect of the embodiments of the present invention, a readable storage medium is provided, and the readable storage medium stores a computer program, and the computer program can be executed by a processor to execute the steps of the spraying process flow processing method.
Compared with the prior art, the spraying process flow processing method and the spraying process flow processing system provided by the embodiment of the invention have the advantages that the flow low-level semantic information of the spraying process flow configuration file is obtained, the flow high-level semantic information of the spraying process flow configuration file is obtained according to the matching relation between each spraying process flow in the flow low-level semantic information and the preset flow conversion strategy, then the flow high-level semantic information is subjected to semantic analysis to respectively obtain flow associated information and flow characteristic information, the flow characteristic information is matched into the flow associated information in the flow associated information, the flow associated information and the flow characteristic information are subjected to flow association by using the set flow execution strategy, and then the flow associated information and the flow characteristic information corresponding to the spraying process flow optimization item are subjected to associated flow control. Therefore, the semantic meaning in the spraying process is considered, the condition that a series of spraying is inaccurate in the process of executing the process is greatly reduced, and the accuracy of the spraying result is improved.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 illustrates a component diagram of a server provided by an embodiment of the invention;
FIG. 2 is a schematic flow chart illustrating a spray coating process flow treatment method provided by an embodiment of the invention;
fig. 3 shows a functional block diagram of a spray coating process flow treatment system provided by an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by the scholars in the technical field, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows an exemplary component schematic of a server 100. The server 100 may include one or more processors 104, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The server 100 may also include any storage media 106 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of server 100. In one case, when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media, the server 100 may perform any of the operations of the associated instructions. The server 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.
The server 100 also includes input/output 110(I/O) for receiving various inputs (via input unit 112) and for providing various outputs (via output unit 114)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122. One or more communication buses 124 couple the above-described components together.
The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, and so forth, governed by any protocol or combination of protocols.
Fig. 2 is a schematic flow chart of a spraying process flow processing method provided by an embodiment of the present invention, which can be executed by the server 100 shown in fig. 1, and the detailed steps of the spraying process flow processing method are described as follows.
Step S110, acquiring process low-level semantic information of the spraying process flow configuration file, and obtaining process high-level semantic information of the spraying process flow configuration file according to a matching relation between each spraying process flow in the process low-level semantic information and a preset flow conversion strategy.
And step S120, performing semantic analysis on the process high-level semantic information to respectively obtain process associated information and process characteristic information.
Step S130, in the process association information, matching the process characteristic information to the process association information, and performing process association between the process association information and the process characteristic information by using a set process execution strategy to form a spraying process processing result, where the spraying process processing result includes at least one spraying process optimization item.
Step S140, performing associated process control on the process associated information and the process characteristic information corresponding to the spraying process flow optimization item in the subsequent execution process of the at least one spraying process flow optimization item.
Based on the above steps, in this embodiment, the flow low-level semantic information of the spraying process flow configuration file is obtained, the flow high-level semantic information of the spraying process flow configuration file is obtained according to the matching relationship between each spraying process flow in the flow low-level semantic information and the preset flow conversion strategy, then, the flow high-level semantic information is subjected to semantic analysis to respectively obtain flow associated information and flow characteristic information, the flow characteristic information is matched into the flow associated information in the flow associated information, and after the flow associated information and the flow characteristic information are subjected to flow association by using the set flow execution strategy, the flow associated information and the flow characteristic information corresponding to the spraying process flow optimization project are subjected to associated flow control. Therefore, the semantic meaning in the spraying process is considered, the condition that a series of spraying is inaccurate in the process of executing the process is greatly reduced, and the accuracy of the spraying result is improved.
In one possible example, for step S110, the spraying process flow configuration file may be divided into a plurality of spraying process flow word segmentation semantic segments that do not overlap with each other according to a preset semantic recognition strategy.
Then, according to the paragraph characteristics of the spraying process flow word segmentation semantic segment, determining the semantic type of the spraying process flow word segmentation semantic segment, performing multiple groups of semantic extraction on the spraying process flow configuration file according to preset multiple semantic extraction codes, and then acquiring the flow low-level semantic information of the spraying process flow configuration file according to each group of semantic extraction results and the semantic type of each spraying process flow word segmentation semantic segment, so as to obtain the flow high-level semantic information of the spraying process flow configuration file according to the matching relationship between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy.
In a possible example, in the process of determining the semantic type of the spraying process flow word segmentation semantic segment according to the paragraph characteristics of the spraying process flow word segmentation semantic segment, it may be specifically determined that the spraying process flow word segmentation semantic segment is a complex spraying process flow word segmentation semantic segment or a simple spraying process flow word segmentation semantic segment according to the paragraph characteristics of the spraying process flow word segmentation semantic segment.
In a possible example, in the process of performing multiple sets of semantic extraction on the spraying process flow configuration file according to multiple preset semantic extraction codes, specifically, first semantic extraction may be performed on the spraying process flow configuration file according to a preset first semantic extraction code, where the first semantic extraction code includes performing word segmentation processing on the spraying process flow configuration file by using multiple sets of non-equidistant semantic extraction modes, and performing first semantic extraction on the spraying process flow configuration file according to a word segmentation processing result.
On the basis, second semantic extraction can be carried out on the spraying process flow configuration file according to a preset second semantic extraction code. And the second semantic extraction code comprises a strategy tree semantic extraction method for performing word segmentation processing on the spraying process flow configuration file, and performing second semantic extraction on the spraying process flow configuration file according to a word segmentation processing result.
In a possible example, in the process of performing associated flow control on the flow associated information and the flow characteristic information corresponding to the spraying process flow optimization item, this embodiment may specifically generate at least one flow script file of the spraying process flow optimization item, and add identification information of the image flow script file to the flow script file of the at least one spraying process flow optimization item. On this basis, when the spraying process flow optimization project is output, one flow script file can be selected from the flow script files of the at least one spraying process flow optimization project, and the flow associated information and the flow characteristic information corresponding to the spraying process flow optimization project are subjected to associated flow control according to the identification information of the flow script file.
Fig. 3 shows a functional block diagram of a spraying process flow processing system 200 provided by an embodiment of the present invention, where the functions implemented by the spraying process flow processing system 200 may correspond to the steps executed by the above-mentioned method. The spraying process flow processing system 200 may be understood as the server 100, or a processor of the server 100, or may be understood as a component which is independent from the server 100 or the processor and implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of the functional modules of the spraying process flow processing system 200 are described in detail below.
The obtaining module 210 is configured to obtain flow low-level semantic information of the spraying process flow configuration file, and obtain flow high-level semantic information of the spraying process flow configuration file according to a matching relationship between each spraying process flow in the flow low-level semantic information and a preset flow conversion policy.
And the semantic analysis module 220 is configured to perform semantic analysis on the process high-level semantic information to obtain process associated information and process characteristic information, respectively.
The process associating module 230 is configured to match the process characteristic information to the process associated information in the process associated information, and form a spraying process processing result after the process associated information and the process characteristic information are associated with each other by using a set process execution policy, where the spraying process processing result includes at least one spraying process optimization item.
The association control module 240 is configured to perform association process control on the process association information and the process characteristic information corresponding to the spraying process flow optimization item in a subsequent execution process of the at least one spraying process flow optimization item.
In a possible example, the obtaining module 210 obtains the flow low-level semantic information of the spraying process flow configuration file by the following method, and obtains the flow high-level semantic information of the spraying process flow configuration file according to a matching relationship between each spraying process flow in the flow low-level semantic information and a preset flow conversion policy:
dividing the spraying process flow configuration file into a plurality of non-overlapping spraying process flow word segmentation semantic segments according to a preset semantic recognition strategy;
determining the semantic type of the word semantic section of the spraying process flow according to the paragraph characteristics of the word semantic section of the spraying process flow;
carrying out multiple groups of semantic extraction on the spraying process flow configuration file according to multiple preset semantic extraction codes;
acquiring flow low-level semantic information of the spraying process flow configuration file according to each group of semantic extraction results and the semantic type of each spraying process flow word segmentation semantic segment;
and obtaining the flow high-level semantic information of the spraying process flow configuration file according to the matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy.
In one possible example, the obtaining module 210 determines the semantic type of the semantic segment of the spraying process flow participle by:
and determining the spraying process flow word segmentation semantic segment as a complex spraying process flow word segmentation semantic segment or a simple spraying process flow word segmentation semantic segment according to the paragraph characteristics of the spraying process flow word segmentation semantic segment.
In one possible example, the obtaining module 210 performs multiple sets of semantic extractions on the spray process flow profile by:
performing first semantic extraction on the spraying process flow configuration file according to a preset first semantic extraction code, wherein the first semantic extraction code comprises performing word segmentation on the spraying process flow configuration file by utilizing a plurality of groups of non-equidistant semantic extraction modes, and performing first semantic extraction on the spraying process flow configuration file according to word segmentation processing results;
performing second semantic extraction on the spraying process flow configuration file according to a preset second semantic extraction code; the second semantic extraction code comprises a strategy tree semantic extraction system which is used for carrying out word segmentation processing on the spraying process flow configuration file, and second semantic extraction is carried out on the spraying process flow configuration file according to word segmentation processing results.
In one possible example, the association control module 250 performs association process control on the process association information and the process characteristic information corresponding to the spraying process flow optimization item by:
generating a flow script file of at least one spraying process flow optimization project, and adding identification information of an image flow script file in the flow script file of the at least one spraying process flow optimization project;
and when the spraying process flow optimization project is output, selecting one flow script file from the flow script files of the at least one spraying process flow optimization project, and performing associated flow control on flow associated information and flow characteristic information corresponding to the spraying process flow optimization project according to the identification information of the flow script file.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.
Claims (10)
1. A spraying process flow treatment method is applied to a server, and comprises the following steps:
acquiring flow low-level semantic information of a spraying process flow configuration file, and acquiring flow high-level semantic information of the spraying process flow configuration file according to a matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy;
semantic analysis is carried out on the flow high-level semantic information to respectively obtain flow associated information and flow characteristic information;
matching the process characteristic information into the process associated information in the process associated information, and forming a spraying process flow processing result after the process associated information and the process characteristic information are subjected to process association by using a set process execution strategy, wherein the spraying process flow processing result comprises at least one spraying process flow optimization item;
and in the subsequent execution process of the at least one spraying process flow optimization item, performing associated flow control on the flow associated information and the flow characteristic information corresponding to the spraying process flow optimization item.
2. The spraying process flow processing method according to claim 1, wherein the step of obtaining flow low-level semantic information of a spraying process flow configuration file and obtaining flow high-level semantic information of the spraying process flow configuration file according to a matching relationship between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy comprises:
dividing the spraying process flow configuration file into a plurality of non-overlapping spraying process flow word segmentation semantic segments according to a preset semantic recognition strategy;
determining the semantic type of the word semantic section of the spraying process flow according to the paragraph characteristics of the word semantic section of the spraying process flow;
carrying out multiple groups of semantic extraction on the spraying process flow configuration file according to multiple preset semantic extraction codes;
acquiring flow low-level semantic information of the spraying process flow configuration file according to each group of semantic extraction results and the semantic type of each spraying process flow word segmentation semantic segment;
and obtaining the flow high-level semantic information of the spraying process flow configuration file according to the matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy.
3. The spraying process flow processing method according to claim 2, wherein the step of determining the semantic type of the spraying process flow word segmentation semantic segment according to the paragraph feature of the spraying process flow word segmentation semantic segment comprises:
and determining the spraying process flow word segmentation semantic segment as a complex spraying process flow word segmentation semantic segment or a simple spraying process flow word segmentation semantic segment according to the paragraph characteristics of the spraying process flow word segmentation semantic segment.
4. The spraying process flow processing method according to claim 2, wherein the step of performing multiple sets of semantic extraction on the spraying process flow configuration file according to multiple preset semantic extraction codes comprises:
performing first semantic extraction on the spraying process flow configuration file according to a preset first semantic extraction code, wherein the first semantic extraction code comprises performing word segmentation on the spraying process flow configuration file by utilizing a plurality of groups of non-equidistant semantic extraction modes, and performing first semantic extraction on the spraying process flow configuration file according to word segmentation processing results;
performing second semantic extraction on the spraying process flow configuration file according to a preset second semantic extraction code; and the second semantic extraction code comprises a strategy tree semantic extraction method for performing word segmentation processing on the spraying process flow configuration file, and performing second semantic extraction on the spraying process flow configuration file according to a word segmentation processing result.
5. The spraying process flow processing method according to claim 1, wherein the step of performing associated flow control on the flow associated information and the flow characteristic information corresponding to the spraying process flow optimization item includes:
generating a flow script file of at least one spraying process flow optimization project, and adding identification information of an image flow script file in the flow script file of the at least one spraying process flow optimization project;
and when the spraying process flow optimization project is output, selecting one flow script file from the flow script files of the at least one spraying process flow optimization project, and performing associated flow control on flow associated information and flow characteristic information corresponding to the spraying process flow optimization project according to the identification information of the flow script file.
6. A spray process flow treatment system for use with a server, the system comprising:
the acquisition module is used for acquiring the flow low-level semantic information of the spraying process flow configuration file and acquiring the flow high-level semantic information of the spraying process flow configuration file according to the matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy;
the semantic analysis module is used for performing semantic analysis on the flow high-level semantic information to respectively obtain flow associated information and flow characteristic information;
the flow association module is used for matching the flow characteristic information into the flow association information in the flow association information, and forming a spraying process flow processing result after the flow association information and the flow characteristic information are subjected to flow association by using a set flow execution strategy, wherein the spraying process flow processing result comprises at least one spraying process flow optimization item;
and the association control module is used for performing association process control on the process association information and the process characteristic information corresponding to the spraying process flow optimization project in the subsequent execution process of the at least one spraying process flow optimization project.
7. The spraying process flow processing system according to claim 6, wherein the obtaining module obtains the flow low-level semantic information of the spraying process flow configuration file by the following method, and obtains the flow high-level semantic information of the spraying process flow configuration file according to a matching relationship between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy:
dividing the spraying process flow configuration file into a plurality of non-overlapping spraying process flow word segmentation semantic segments according to a preset semantic recognition strategy;
determining the semantic type of the word semantic section of the spraying process flow according to the paragraph characteristics of the word semantic section of the spraying process flow;
carrying out multiple groups of semantic extraction on the spraying process flow configuration file according to multiple preset semantic extraction codes;
acquiring flow low-level semantic information of the spraying process flow configuration file according to each group of semantic extraction results and the semantic type of each spraying process flow word segmentation semantic segment;
and obtaining the flow high-level semantic information of the spraying process flow configuration file according to the matching relation between each spraying process flow in the flow low-level semantic information and a preset flow conversion strategy.
8. The spray process flow processing system of claim 7, wherein the acquisition module determines the semantic type of the spray process flow word segmentation semantic segment by:
and determining the spraying process flow word segmentation semantic segment as a complex spraying process flow word segmentation semantic segment or a simple spraying process flow word segmentation semantic segment according to the paragraph characteristics of the spraying process flow word segmentation semantic segment.
9. The spray coating process flow processing system of claim 7, wherein the acquisition module performs sets of semantic extractions of the spray coating process flow profile by:
performing first semantic extraction on the spraying process flow configuration file according to a preset first semantic extraction code, wherein the first semantic extraction code comprises performing word segmentation on the spraying process flow configuration file by utilizing a plurality of groups of non-equidistant semantic extraction modes, and performing first semantic extraction on the spraying process flow configuration file according to word segmentation processing results;
performing second semantic extraction on the spraying process flow configuration file according to a preset second semantic extraction code; the second semantic extraction code comprises a strategy tree semantic extraction system which is used for carrying out word segmentation processing on the spraying process flow configuration file, and second semantic extraction is carried out on the spraying process flow configuration file according to word segmentation processing results.
10. The spray coating process flow processing system according to claim 6, wherein the association control module performs association flow control on the flow association information and the flow characteristic information corresponding to the spray coating process flow optimization item by:
generating a flow script file of at least one spraying process flow optimization project, and adding identification information of an image flow script file in the flow script file of the at least one spraying process flow optimization project;
and when the spraying process flow optimization project is output, selecting one flow script file from the flow script files of the at least one spraying process flow optimization project, and performing associated flow control on flow associated information and flow characteristic information corresponding to the spraying process flow optimization project according to the identification information of the flow script file.
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