CN113315649A - Communication data acquisition method based on artificial intelligence - Google Patents

Communication data acquisition method based on artificial intelligence Download PDF

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Publication number
CN113315649A
CN113315649A CN202110431036.5A CN202110431036A CN113315649A CN 113315649 A CN113315649 A CN 113315649A CN 202110431036 A CN202110431036 A CN 202110431036A CN 113315649 A CN113315649 A CN 113315649A
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CN
China
Prior art keywords
data
artificial intelligence
communication data
database
collection method
Prior art date
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Pending
Application number
CN202110431036.5A
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Chinese (zh)
Inventor
程佳佳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Creation Vocational College
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Chongqing Creation Vocational College
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Publication date
Application filed by Chongqing Creation Vocational College filed Critical Chongqing Creation Vocational College
Priority to CN202110431036.5A priority Critical patent/CN113315649A/en
Publication of CN113315649A publication Critical patent/CN113315649A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/145Network analysis or design involving simulating, designing, planning or modelling of a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/147Network analysis or design for predicting network behaviour

Abstract

The invention discloses a communication data acquisition method based on artificial intelligence, which can realize acquisition operation on one or more items of data such as images, characters and sounds based on artificial intelligence, realize diversification of data sampling, enable the data to embody conclusion results required to be obtained from multiple aspects, and effectively improve the accuracy of communication data; the result obtained by a certain amount of data or within a certain time is collected and stored to form a new conclusion database, and after the data in the conclusion database reaches a certain amount, the result can be optimized by substituting the conclusion data into the model again, so that the optimized data can be more accurate, and the accuracy of data prediction can be effectively improved. The invention has the advantages of diverse data acquisition and high accuracy.

Description

Communication data acquisition method based on artificial intelligence
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a communication data acquisition method based on artificial intelligence.
Background
The traditional data acquisition source is single, the data storage, management and analysis quantity is relatively small, and a relational database and a parallel database are mostly adopted for processing. For the aspect of improving the data processing speed by means of parallel computing, the traditional parallel database technology pursues high consistency and fault tolerance, and according to the CAP theory, the usability and expansibility of the parallel database technology are difficult to guarantee, and the requirements of the prior art cannot be well met.
As an extremely practical electronic technology, intelligent data acquisition is widely applied to many fields such as signal detection, device monitoring, signal processing, and instrument and meter detection. With the coming of the information era, information technology, particularly digitization technology, is continuously developed, so that the design of an intelligent data acquisition system is continuously improved and perfected, the current data acquisition technology realizes the development of speed improvement, data volume increase, data channel increase and the like, and the intelligent data acquisition system based on artificial intelligence is fully valued and widely applied by virtue of the advantages of compact structure, stable working performance, good expandability, rich functions and the like.
The artificial intelligence communication data acquisition system in the prior art is generally based on collection of a large amount of single data when in use, and then analyzes the large amount of single data through a specific model to obtain a conclusion. Based on the reasons, the invention provides a communication data acquisition method based on artificial intelligence to solve the defects of the prior art.
Disclosure of Invention
The invention aims to overcome the defects of single acquired data and low accuracy in the prior art and provides a communication data acquisition method based on artificial intelligence. The communication data acquisition method based on artificial intelligence has the characteristics of diverse data acquisition, high accuracy and the like.
In order to achieve the purpose, the invention provides the following technical scheme: a communication data acquisition method based on artificial intelligence comprises the following steps:
s1: installing artificial intelligence equipment;
s2: establishing a database and loading an analysis model;
s3: connecting the artificial intelligence equipment with a database;
s4: collecting data through artificial intelligence equipment;
s5: the collected data are sorted and analyzed by using a database;
s6: drawing a conclusion based on the communication data acquired by artificial intelligence;
s7: and repeating the steps 4 to 6 to continuously optimize the data.
Preferably, the artificial intelligence device in the step (1) can realize the collection operation of one or more items of data of images, characters and sounds.
Preferably, the analysis model in step (2) needs to establish different analysis models according to different actual needs, so as to realize analysis operations on different data.
Preferably, in the data acquisition process of the step (4), the data is distinguished through artificial intelligence equipment, and unnecessary and interference data are removed.
Preferably, the collation analysis is started at specified time intervals or each time a certain amount of data is collected in step (5).
Preferably, the data obtained in step (6) is collected again to form a new database.
Preferably, in the step (7), the optimization data is obtained by analyzing and sorting again based on the database in the step (6).
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, one or more items of data such as images, characters and sounds can be acquired based on artificial intelligence, and the diversification of data sampling is realized, so that the data can embody the conclusion result required to be obtained from multiple aspects, and the accuracy of communication data is effectively improved;
2. the result obtained by a certain amount of data or within a certain time is collected and stored to form a new conclusion database, and after the data in the conclusion database reaches a certain amount, the result can be optimized by substituting the conclusion data into the model again, so that the optimized data can be more accurate, and the accuracy of data prediction can be effectively improved.
Drawings
FIG. 1 is a flow chart of the present invention.
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.
Referring to fig. 1, the present invention provides a technical solution: a communication data acquisition method based on artificial intelligence comprises the following steps:
s1: the artificial intelligence device is installed, and can realize acquisition operation on one or more items of data of images, characters and sounds;
s2: establishing a database and loading an analysis model, wherein the analysis model needs to establish different analysis models according to different actual requirements to realize analysis operation on different data;
s3: connecting the artificial intelligence equipment with a database;
s4: the data are collected through artificial intelligence equipment, and the data are distinguished through the artificial intelligence equipment in the data collection process, so that unnecessary and interference data are removed;
s5: the collected data are sorted and analyzed by using a database, and sorting and analysis are started at specified time intervals or every time when a certain amount of data is collected;
s6: a conclusion is obtained based on the communication data acquired by artificial intelligence, and the obtained data is collected and sorted again to form a new database;
s7: and repeating the steps 4 to 6 to continuously optimize the data, so that the conclusion drawn by the data is more accurate.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. A communication data acquisition method based on artificial intelligence comprises the following steps:
s1: installing artificial intelligence equipment;
s2: establishing a database and loading an analysis model;
s3: connecting the artificial intelligence equipment with a database;
s4: collecting data through artificial intelligence equipment;
s5: the collected data are sorted and analyzed by using a database;
s6: drawing a conclusion based on the communication data acquired by artificial intelligence;
s7: and repeating the steps 4 to 6 to continuously optimize the data.
2. The artificial intelligence based communication data collection method according to claim 1, wherein: the artificial intelligent equipment in the step (1) can realize the acquisition operation of one or more items of data of images, characters and sounds.
3. The artificial intelligence based communication data collection method according to claim 1, wherein: and (3) establishing different analysis models according to different actual requirements for the analysis models in the step (2) to realize analysis operation on different data.
4. The artificial intelligence based communication data collection method according to claim 1, wherein: and (4) distinguishing the data through artificial intelligence equipment in the data acquisition process of the step (4) and eliminating unnecessary and interference data.
5. The artificial intelligence based communication data collection method according to claim 1, wherein: and (5) starting sorting analysis at specified time intervals or every time a certain amount of data is collected.
6. The artificial intelligence based communication data collection method according to claim 1, wherein: and (6) collecting and sorting the obtained data again to form a new database.
7. The artificial intelligence based communication data collection method according to claim 1, wherein: and (7) analyzing and sorting again based on the database in the step (6) to obtain optimized data.
CN202110431036.5A 2021-04-21 2021-04-21 Communication data acquisition method based on artificial intelligence Pending CN113315649A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110431036.5A CN113315649A (en) 2021-04-21 2021-04-21 Communication data acquisition method based on artificial intelligence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110431036.5A CN113315649A (en) 2021-04-21 2021-04-21 Communication data acquisition method based on artificial intelligence

Publications (1)

Publication Number Publication Date
CN113315649A true CN113315649A (en) 2021-08-27

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Application Number Title Priority Date Filing Date
CN202110431036.5A Pending CN113315649A (en) 2021-04-21 2021-04-21 Communication data acquisition method based on artificial intelligence

Country Status (1)

Country Link
CN (1) CN113315649A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107644255A (en) * 2016-07-21 2018-01-30 深圳光启合众科技有限公司 A kind of data processing method of artificial intelligence equipment, apparatus and system
CN111430029A (en) * 2020-03-24 2020-07-17 浙江达美生物技术有限公司 Multi-dimensional stroke prevention screening method based on artificial intelligence
CN111860118A (en) * 2020-06-03 2020-10-30 安徽碧耕软件有限公司 Human behavior analysis method based on artificial intelligence
CN111950197A (en) * 2020-08-04 2020-11-17 珠海市鸿瑞信息技术股份有限公司 Distribution network attack and fault acquisition and analysis system based on artificial intelligence semantics
CN112134310A (en) * 2020-09-18 2020-12-25 贵州电网有限责任公司 Big data-based artificial intelligent power grid regulation and control operation method and system
CN112199395A (en) * 2020-10-13 2021-01-08 吴俊� Artificial intelligence analysis method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107644255A (en) * 2016-07-21 2018-01-30 深圳光启合众科技有限公司 A kind of data processing method of artificial intelligence equipment, apparatus and system
CN111430029A (en) * 2020-03-24 2020-07-17 浙江达美生物技术有限公司 Multi-dimensional stroke prevention screening method based on artificial intelligence
CN111860118A (en) * 2020-06-03 2020-10-30 安徽碧耕软件有限公司 Human behavior analysis method based on artificial intelligence
CN111950197A (en) * 2020-08-04 2020-11-17 珠海市鸿瑞信息技术股份有限公司 Distribution network attack and fault acquisition and analysis system based on artificial intelligence semantics
CN112134310A (en) * 2020-09-18 2020-12-25 贵州电网有限责任公司 Big data-based artificial intelligent power grid regulation and control operation method and system
CN112199395A (en) * 2020-10-13 2021-01-08 吴俊� Artificial intelligence analysis method and system

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