CN114048300A

CN114048300A - Industrial solution generation method, system and equipment based on artificial intelligence

Info

Publication number: CN114048300A
Application number: CN202111394770.5A
Authority: CN
Inventors: 邓晓强
Original assignee: Rong'an Cloud Network Beijing Technology Co ltd
Current assignee: Rong'an Cloud Network Beijing Technology Co ltd
Priority date: 2021-11-23
Filing date: 2021-11-23
Publication date: 2022-02-15

Abstract

The application provides an industry solution generation method, system and device based on artificial intelligence, wherein the method comprises the steps of obtaining problem description information; preprocessing the problem description information; extracting problem features and industry features in the preprocessed problem description information; coupling a corresponding industry solution database according to the industry characteristics; searching N candidate solutions in a corresponding industry solution database according to the problem characteristics; wherein N > 1; generating a final solution from the N candidate solutions. According to the method and the system, the problem description of each industry and the industry solution database of the corresponding solution are constructed in advance, the solution of each industry can be searched and generated, the final solution is obtained by performing synthesis processing on a plurality of found candidate solutions, the accuracy of the generated solution is greatly improved, and the time is greatly saved.

Description

Industrial solution generation method, system and equipment based on artificial intelligence

Technical Field

The application relates to the technical field of artificial intelligence, in particular to an industrial solution generation method, system and equipment based on artificial intelligence.

Background

Artificial intelligence and machine learning can benefit every industry by employing artificial intelligence to generate solutions to problems. For example, in the education industry, education schemes are generated by adopting an artificial intelligence mode to assist students and teachers in teaching and learning, and in the medical industry, treatment schemes are generated by adopting an artificial intelligence mode to assist doctors in diagnosis and treatment.

In the prior art, a scheme is crawled on a network. The solution obtained by the method has poor accuracy, and is time-consuming and labor-consuming.

Disclosure of Invention

An embodiment of the application aims to provide an industry solution generation method, system and device based on artificial intelligence, so as to solve the problems of poor accuracy, time consumption and labor consumption of the existing industry solutions. The specific technical scheme is as follows:

in a first aspect, a method for generating an industry solution based on artificial intelligence is provided, the method comprising:

acquiring problem description information;

preprocessing the problem description information;

extracting problem features and industry features in the preprocessed problem description information;

coupling a corresponding industry solution database according to the industry characteristics;

searching N candidate solutions in a corresponding industry solution database according to the problem characteristics; wherein N > 1;

generating a final solution from the N candidate solutions.

Optionally, when the question description information is a voice, a video, or a picture, the preprocessing the question description information includes:

converting the question description information into text information;

and performing data cleaning and stop word processing on the text information.

Optionally, when the question description information is text information, the preprocessing the question description information includes:

and performing data cleaning and stop word processing on the text information.

Optionally, the generating a final solution according to the N candidate solutions includes:

performing sentence division processing on each candidate solution to obtain a plurality of clauses;

extracting key words of each clause;

matching clauses with the same keywords or with the keyword similarity larger than a preset threshold value to obtain a similar sentence group;

taking clauses without the same keywords or with the keyword similarity smaller than a preset threshold value as independent clauses;

calculating the similarity between the sub-sentences in the similar sentence group;

taking the two clauses with the maximum similarity as candidate scheme clauses;

selecting any candidate scheme clause from the two candidate scheme clauses as a target clause;

and synthesizing all the target clauses and the independent clauses to obtain a final solution.

Optionally, the sentence dividing processing on each candidate solution to obtain a plurality of clauses includes:

and dividing each candidate scheme according to a preset separator to obtain a plurality of clauses, wherein the separator comprises a period, a question mark, a semicolon and an exclamation mark.

Optionally, the calculating the similarity between clauses in the set of similar clauses includes:

performing word segmentation and part-of-speech tagging on each clause;

performing syntactic analysis on each clause to obtain any combination of a subject, a predicate, an object or a subject;

the similarity between subjects, predicates, objects, or subjects is calculated, respectively.

Optionally, the synthesizing all the target clauses and the independent clauses to obtain the final solution includes:

extracting the associated words of each target clause and each independent clause;

determining the logical relationship between each target clause and the independent clause according to the associated words;

and synthesizing according to the logical relation to obtain a final solution.

In a second aspect, the present application provides an artificial intelligence based industry solution generation system, the system comprising:

an acquisition unit configured to acquire problem description information;

the preprocessing unit is used for preprocessing the problem description information;

the extraction unit is used for extracting problem features and industry features in the preprocessed problem description information;

the coupling unit is used for coupling the corresponding industry solution database according to the industry characteristics;

the searching unit is used for searching N candidate solutions in a corresponding industry solution database according to the problem characteristics; wherein N > 1;

and the generating unit is used for generating a final solution according to the N candidate solutions.

In a third aspect, the present application provides an electronic device, including a processor, a communication interface, a memory and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;

a memory for storing a computer program;

a processor for implementing the method steps of any of the first aspect when executing a program stored in the memory.

In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method steps of any of the first aspects.

In a fifth aspect, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the artificial intelligence based industry solution generation methods described above.

The embodiment of the application has the following beneficial effects:

the embodiment of the application provides an industry solution generation method, system and device based on artificial intelligence, and the method, system and device are used for generating an industry solution based on artificial intelligence by acquiring problem description information; preprocessing the problem description information; extracting problem features and industry features in the preprocessed problem description information; coupling a corresponding industry solution database according to the industry characteristics; searching N candidate solutions in a corresponding industry solution database according to the problem characteristics; wherein N > 1; generating a final solution from the N candidate solutions. According to the method and the system, the problem description of each industry and the industry solution database of the corresponding solution are constructed in advance, the solution of each industry can be searched and generated, the final solution is obtained by performing synthesis processing on a plurality of found candidate solutions, the accuracy of the generated solution is greatly improved, and the time is greatly saved.

Of course, not all advantages described above need to be achieved at the same time in the practice of any one product or method of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.

FIG. 1 is a flowchart of an artificial intelligence based industry solution generation method provided by an embodiment of the present application;

FIG. 2 is a schematic structural diagram of an artificial intelligence based industry solution generation system according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

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, and 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.

An embodiment of the present application provides an industrial solution generation method based on artificial intelligence, and the industrial solution generation method based on artificial intelligence provided in the embodiment of the present application is described in detail below with reference to specific implementation manners, as shown in fig. 1, the specific steps are as follows:

step S101: problem description information is acquired.

Step S102: and preprocessing the problem description information.

Step S103: and extracting problem features and industry features in the preprocessed problem description information.

Step S104: and coupling the corresponding industry solution database according to the industry characteristics.

Step S105: searching N candidate solutions in a corresponding industry solution database according to the problem characteristics; wherein N > 1.

Step S106: generating a final solution from the N candidate solutions.

converting the question description information into text information;

and performing data cleaning and stop word processing on the text information.

extracting key words of each clause;

taking the two clauses with the maximum similarity as candidate scheme clauses;

performing word segmentation and part-of-speech tagging on each clause;

and synthesizing according to the logical relation to obtain a final solution.

In a second aspect, based on the same inventive concept, the present application provides an artificial intelligence based industry solution generation system, as shown in fig. 2, the system comprising:

an acquisition unit 201 for acquiring the problem description information;

a preprocessing unit 202, configured to preprocess the problem description information;

the extracting unit 203 is used for extracting problem features and industry features in the preprocessed problem description information;

the coupling unit 204 is used for coupling the corresponding industry solution database according to the industry characteristics;

a searching unit 205, configured to search N candidate solutions in a corresponding industry solution database according to the problem feature; wherein N > 1;

a generating unit 206, configured to generate a final solution according to the N candidate solutions.

Based on the same technical concept, the embodiment of the present invention further provides an electronic device, as shown in fig. 3, including a processor 301, a communication interface 302, a memory 303, and a communication bus 304, where the processor 301, the communication interface 302, and the memory 303 complete mutual communication through the communication bus 304,

a memory 303 for storing a computer program;

the processor 301 is configured to implement the steps of the artificial intelligence based industry solution generation method when executing the program stored in the memory 303.

The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the electronic equipment and other equipment.

The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

In yet another embodiment of the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the artificial intelligence based industry solution generation methods described above.

In yet another embodiment provided by the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the artificial intelligence based industry solution generation methods of the above embodiments.

In the above embodiments, the implementation may be wholly or partially realized by 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 is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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.

The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An artificial intelligence based industry solution generation method, the method comprising:

acquiring problem description information;

preprocessing the problem description information;

generating a final solution from the N candidate solutions.

2. The method of claim 1, wherein when the question description information is voice, video or picture, the pre-processing the question description information comprises:

converting the question description information into text information;

and performing data cleaning and stop word processing on the text information.

3. The method according to claim 1, wherein when the question description information is text information, the preprocessing the question description information comprises:

and performing data cleaning and stop word processing on the text information.

4. The method of claim 1, wherein the generating a final solution from the N candidate solutions comprises:

extracting key words of each clause;

taking the two clauses with the maximum similarity as candidate scheme clauses;

5. The method of claim 4, wherein the clause processing each of the candidate solutions into a number of clauses comprises:

6. The method of claim 1, wherein the calculating of the similarity between clauses in the set of similar clauses comprises:

performing word segmentation and part-of-speech tagging on each clause;

7. The method of claim 1, wherein the synthesizing all target clauses and independent clauses into a final solution comprises:

and synthesizing according to the logical relation to obtain a final solution.

8. An artificial intelligence based industry solutions generation system, the system comprising:

an acquisition unit configured to acquire problem description information;

9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;

a memory for storing a computer program;

a processor for implementing the method steps of any of claims 1 to 7 when executing a program stored in the memory.

10. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 7.