CN114064997A - Artificial intelligence power dispatching decision-making system based on big data - Google Patents
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Abstract
The invention provides an artificial intelligence power dispatching decision-making system based on big data. This artificial intelligence power dispatching decision-making system based on big data includes: a data crawling module: the artificial intelligent power dispatching decision system based on big data can collect professional information related to the power industry in the Internet through the cooperation of the data crawling module and the database storage module, manage and classify the collected information data through the database management module and the data processing analysis module, so that a professional data information base is established, meanwhile, through the cooperation of the information crawling time recognition module and the latest information pushing module, effective information related to the power industry can be retrieved in the professional data information base through Web pages, and meanwhile, the intelligent pushing of the latest effective information is realized, so that the intelligent decision of power dispatching is realized.
Description
Technical Field
The invention relates to the technical field of power dispatching, in particular to an artificial intelligent power dispatching decision system based on big data.
Background
The power dispatching is an effective management means which is adopted for ensuring safe and stable operation, reliable power supply and orderly power production of a power grid. The change, the perfection and the development of a professional support system for power dispatching are closely related to national administration guidelines and industry development trends, and a large amount of policy oriented documents, technical innovation papers and latest industry standards at the present stage are all the basis of power dispatching decisions.
With the rapid development of the network era, modern information technologies such as big data and artificial intelligence can be applied, and through the fusion, analysis and utilization of power technology and economy big data, expert big data, regional power industry big data and internet power information resources, the existing power dispatching technology support system lacks means for effectively retrieving, intelligently classifying and pushing and extracting key effective information for files, latest development of industries and the like of superior departments in daily work, and can influence the effective decision of power dispatching.
Disclosure of Invention
In order to realize the purpose of the artificial intelligent power dispatching decision system based on big data, the invention is realized by the following technical scheme: an artificial intelligence power scheduling decision system based on big data, comprising:
a data crawling module: utilizing Focused Crawler software development to search and acquire data sources related to the power industry from websites and multimedia of the industries at home and abroad;
a database storage module: the data source is used for storing the data source acquired by the data crawling module;
a database management module: processing a data source in a database storage module by using intelligent management of a MySQL database, wherein the processing comprises filtering useless information, removing duplication and error correction, extracting tags and managing data safety;
the data processing and analyzing module: analyzing and processing data in the database storage module based on a Python network, and analyzing the correlation between data information and a theme by combining a Sharksearch algorithm to finish classification processing of a data source in the database storage module;
professional data information base: classifying and processing the data through a data processing and analyzing module, matching information data through a regular expression, and establishing a professional data information base related to the power industry for storing and managing the classified data source;
an index generation unit: the system comprises a professional data information base, a database and a database, wherein the professional data information base is used for storing data sources;
web page: the system is used for inputting keyword information to be searched into a professional data information base;
the retrieval optimization module: the system is used for optimizing, recommending and displaying the confidence of Web page retrieval;
a data statistics module: the system is used for carrying out statistical analysis on the data sources collected in the professional data information base;
the power dispatching information visualization platform comprises: according to the statistics of a data source in a professional data module by a data statistics module, establishing a power dispatching information visualization platform, wherein the power dispatching information visualization platform internally comprises a region distribution module, a data classification proportion module and a data downloading recording module;
the area distribution module: statistics of data sources for each region;
the data classification proportion module: the device is used for carrying out classification statistics on the data sources according to the types of the data source division;
the data downloading and recording module: the system is used for recording and counting the data source condition downloaded from the professional information base;
information crawl time identification module: identifying a network entry time for the crawled data sources;
the latest information pushing module: the system and the method are used for automatically pushing newly released information related to the power industry to a Web page.
Further, in the data crawling module, the specific process of data crawling includes the following processes:
s1, establishing an initialized URL sequence to be crawled through Focused Crawler software development;
s2, searching the power industry website and the multimedia page by using the URL sequence to be crawled;
s3, when the search page is empty, data crawling is finished, and when the page related to the power industry is searched, page content corresponding to the URL is downloaded;
s4, when the page download is successful, adding the URL into the crawled list, continuing to analyze and process the document, when the page download is failed, selecting whether to retry, when the page download is not required to retry, adding the URL into the crawled list, adding related exception handling and log records, and when the page download is required to retry, repeating S2-S3;
s5, when the URL is added into the crawled list, whether the page is collected or not is selected, and when the page needs to be collected, the page is used as effective data and stored in the database module;
s6, when collection is not needed, judging the URL as a valuable URL, and continuously repeating S2-S5.
Further, the data sources acquired by the data crawling module include power industry policies, papers, achievements, technologies, research and development directions, products and planning information.
Further, the classification of the data in the data classification proportion module comprises standards, documents, soft works and patents.
Furthermore, the area distribution module, the data classification proportion module and the data downloading recording module are connected in pairs.
Furthermore, the number of the Web pages is multiple, and the Web pages are connected through a network.
Compared with the prior art, the invention has the following beneficial effects:
1. the artificial intelligent power dispatching decision making system based on the big data can collect professional information related to the power industry in the Internet through the cooperation of the data crawling module and the database storage module, can manage and classify the collected information data through the database management module and the data processing and analyzing module so as to obtain a more professional data source, and further establish a professional data information base.
2. According to the artificial intelligent power dispatching decision making system based on the big data, professional confidence related to the power industry in the Internet can be automatically acquired in real time through a data acquisition method of the data crawling module, the latest relevant information such as relevant policies and industrial standards of the power industry can be acquired, statistical analysis can be conducted on information in a professional information base through cooperation of the data statistical module and the professional data information base, a power dispatching information visual analysis platform is built, a professional database prediction system can be formed through cooperation of a region distribution module, a data classification proportion module and a data downloading recording module in the power dispatching information visual analysis platform, and accordingly prediction analysis and intelligent decision making can be conducted on power dispatching.
Drawings
FIG. 1 is a schematic diagram of the establishment of a professional data information base and a power dispatching information visualization platform according to the present invention;
FIG. 2 is a flow chart of a data crawling method of the data crawling module of the present invention;
FIG. 3 is a schematic diagram of a power dispatching information visualization analysis platform according to the present invention;
FIG. 4 is a diagram illustrating the pushing of the latest information of the professional data information base and the Web page according to 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.
The embodiment of the artificial intelligent power dispatching decision system based on big data is as follows:
referring to fig. 1-4, an artificial intelligence power scheduling decision system based on big data includes:
a data crawling module: the method comprises the following steps of utilizing Focused Crawler software development, searching and acquiring data sources related to the power industry from websites and multimedia of the domestic and foreign industries, and comprehensively collecting effective information in the aspects of policies, methods and technologies related to power dispatching, power network safety, power grid development, technical innovation, products and the like through network channels such as national network libraries, China public networks, colleges, governments, self-media public numbers and the like;
a database storage module: the data source is used for storing the data source acquired by the data crawling module;
a database management module: processing the data source in the database storage module by using intelligent management of the MySQL database, wherein the processing comprises filtering useless information, removing duplication and error correction, extracting tags and carrying out data safety management, so that the safe storage and reasonable and effective use of the data source are ensured;
the data processing and analyzing module: based on a Python network, using a large amount of professional information crawled by a data crawling module for data analysis and big data research, and simultaneously analyzing the correlation between the data information and a theme by combining a Sharksearch algorithm to finish classification processing of a data source in a database storage module;
professional data information base: classifying and processing the data through a data processing and analyzing module, matching information data through a regular expression, and establishing a professional data information base related to the power industry for storing and managing the classified data source so that the professional data information base classifies and systematically stores and manages the acquired data source;
an index generation unit: the system comprises a professional data information base, a database and a database server, wherein the professional data information base is used for storing specific information of a user;
web page: the system comprises a professional data information base, a plurality of Web pages and a plurality of network servers, wherein the professional data information base is used for inputting keyword information to be retrieved, the Web pages are connected through a network, and effective information with the advantages of the power industry can be mutually pushed and shared through the Web pages;
the retrieval optimization module: the system is used for optimizing, recommending and displaying the confidence of Web page retrieval;
a data statistics module: the system comprises a professional data information base, a power dispatching information visualization platform, a data source monitoring and statistical analysis module and a data analysis module, wherein the power dispatching information visualization platform is used for performing statistical analysis on the data source collected in the professional data information base and establishing a power dispatching information visualization platform by performing real-time monitoring statistical analysis on the data source in the professional data information base;
the power dispatching information visualization platform comprises: according to the statistics of a data source in a professional data module by a data statistics module, establishing a power dispatching information visualization platform, wherein the power dispatching information visualization platform internally comprises a region distribution module, a data classification proportion module and a data downloading recording module;
the area distribution module: statistics of data sources for each region;
the data classification proportion module: the device is used for carrying out classification statistics on the data sources according to the types of the data source division;
the data downloading and recording module: the system is used for recording and counting the data source condition downloaded from the professional information base;
the number of data sources relevant to the power industry in a certain area and the proportion condition of each classification in the data source power relevant information can be analyzed through the area distribution module and the data classification proportion module, the number of data sources relevant to the power industry in a certain area and the proportion condition of each classification in the data source power relevant information can be analyzed through the area distribution module, the data downloading recording module and the data classification proportion module, and a professional database prediction system can be formed according to statistics of the data sources in the area distribution module, the data classification proportion module and the data downloading recording module, so that prediction analysis and intelligent decision can be made on power scheduling.
Information crawl time identification module: the system comprises a data crawling module, a network accessing module and a data searching module, wherein the network accessing time of the crawled data sources is identified so as to detect the initial effective time of the data sources crawled by the data crawling module;
the latest information pushing module: the information crawling time identification module is matched with the professional data information base, and can intelligently push the latest information of the power industry to the Web page through the latest information pushing module.
In the data crawling module, the specific process of data crawling comprises the following processes:
s1, establishing an initialized URL sequence to be crawled through Focused Crawler software development;
s2, searching the power industry website and the multimedia page by using the URL sequence to be crawled;
s3, when the search page is empty, data crawling is finished, and when the page related to the power industry is searched, page content corresponding to the URL is downloaded;
s4, when the page download is successful, adding the URL into the crawled list, continuing to analyze and process the document, when the page download is failed, selecting whether to retry, when the page download is not required to retry, adding the URL into the crawled list, adding related exception handling and log records, and when the page download is required to retry, repeating S2-S3;
s5, when the URL is added into the crawled list, whether the page is collected or not is selected, and when the page needs to be collected, the page is used as effective data and stored in the database module;
s6, when collection is not needed, judging the URL as a valuable URL, and continuously repeating S2-S5.
The data sources acquired in the data crawling module comprise power industry policy, thesis, achievement, technology, research and development direction, product and planning information.
The data classification in the data classification proportion module comprises standards, documents, soft works and patents.
The area distribution module, the data classification proportion module and the data downloading recording module are connected in pairs.
The number of the Web pages is multiple, and the Web pages are connected through a network.
When the system is used, professional information related to the power industry, including pictures, characters, links and the like, is acquired and collected through a Focused Crawler software development and a data crawling module through network channels such as power industry websites and multimedia platforms, and effective information in the aspects of policies, methods, technologies, power network safety, power grid development, technical innovation, products and the like related to power scheduling is collected.
The information collected by the data crawling module is stored and managed, a database storage module is established, meanwhile, through intelligent management of a MySQL database, a database management module is used for processing a data source in the database storage module, filtering invalid information in the data source, removing duplicate error correction, extracting tags, and safely storing, reasonably and effectively using and managing the data source in the database storage module.
Based on a Python network, a large amount of professional information in the database storage module is used for data analysis and big data research, and meanwhile, the correlation between the collected information and the theme is effectively enhanced by using a Sharksearch algorithm, so that the data source in the database storage module is classified.
According to the data source in the classified database storage module, the information data is matched through the regular expression, an internal strong professional system information base, namely a professional data information base, is established, and an index is generated by using the index generation unit.
The data sources in the professional data information base can be retrieved through the web page, and meanwhile, the retrieved information is optimally displayed by the retrieval optimization module, so that retrieval, calling and downloading of the application are facilitated.
The data statistics module establishes a power dispatching information visual analysis platform according to data sources in a professional data information base, the power dispatching information visual analysis platform comprises a region distribution module, a data classification duty ratio module and a data downloading recording module, the number of the data sources relevant to the power industry in a certain region and the duty ratio condition of each classification in the data source power relevant information can be analyzed through the region distribution module and the data classification duty ratio module, and the number of the data sources relevant to the power industry downloaded in a certain region and the duty ratio condition of each classification in the data source power relevant information can be analyzed through the region distribution module and the data downloading recording module and the data classification duty ratio module.
According to statistics of data sources in the region distribution module, the data classification proportion module and the data downloading recording module, a professional database prediction system can be formed, and therefore prediction analysis and intelligent decision can be made on power scheduling.
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 (6)
1. The utility model provides an artificial intelligence power dispatching decision-making system based on big data which characterized in that: the method comprises the following steps:
a data crawling module: utilizing Focused Crawler software development to search and acquire data sources related to the power industry from websites and multimedia of the industries at home and abroad;
a database storage module: the data source is used for storing the data source acquired by the data crawling module;
a database management module: processing a data source in a database storage module by using intelligent management of a MySQL database, wherein the processing comprises filtering useless information, removing duplication and error correction, extracting tags and managing data safety;
the data processing and analyzing module: analyzing and processing data in the database storage module based on a Python network, and analyzing the correlation between data information and a theme by combining a Sharksearch algorithm to finish classification processing of a data source in the database storage module;
professional data information base: classifying and processing the data through a data processing and analyzing module, matching information data through a regular expression, and establishing a professional data information base related to the power industry for storing and managing the classified data source;
an index generation unit: the system comprises a professional data information base, a database and a database, wherein the professional data information base is used for storing data sources;
web page: the system is used for inputting keyword information to be searched into a professional data information base;
the retrieval optimization module: the system is used for optimizing, recommending and displaying the confidence of Web page retrieval;
a data statistics module: the system is used for carrying out statistical analysis on the data sources collected in the professional data information base;
the power dispatching information visualization platform comprises: according to the statistics of a data source in a professional data module by a data statistics module, establishing a power dispatching information visualization platform, wherein the power dispatching information visualization platform internally comprises a region distribution module, a data classification proportion module and a data downloading recording module;
the area distribution module: statistics of data sources for each region;
the data classification proportion module: the device is used for carrying out classification statistics on the data sources according to the types of the data source division;
the data downloading and recording module: the system is used for recording and counting the data source condition downloaded from the professional information base;
information crawl time identification module: identifying a network entry time for the crawled data sources;
the latest information pushing module: the system and the method are used for automatically pushing newly released information related to the power industry to a Web page.
2. The big data-based artificial intelligence power scheduling decision system according to claim 1, wherein: in the data crawling module, the specific process of data crawling comprises the following processes:
s1, establishing an initialized URL sequence to be crawled through Focused Crawler software development;
s2, searching the power industry website and the multimedia page by using the URL sequence to be crawled;
s3, when the search page is empty, data crawling is finished, and when the page related to the power industry is searched, page content corresponding to the URL is downloaded;
s4, when the page download is successful, adding the URL into the crawled list, continuing to analyze and process the document, when the page download is failed, selecting whether to retry, when the page download is not required to retry, adding the URL into the crawled list, adding related exception handling and log records, and when the page download is required to retry, repeating S2-S3;
s5, when the URL is added into the crawled list, whether the page is collected or not is selected, and when the page needs to be collected, the page is used as effective data and stored in the database module;
s6, when collection is not needed, judging the URL as a valuable URL, and continuously repeating S2-S5.
3. The big data-based artificial intelligence power scheduling decision system according to claim 1, wherein: the data sources obtained in the data crawling module comprise power industry policy, thesis, achievement, technology, research and development direction, products and planning information.
4. The big data-based artificial intelligence power scheduling decision system according to claim 1, wherein: the data classification in the data classification proportion module comprises standards, documents, soft works and patents.
5. The big data-based artificial intelligence power scheduling decision system according to claim 1, wherein: the area distribution module, the data classification proportion module and the data downloading recording module are connected in pairs.
6. The big data-based artificial intelligence power scheduling decision system according to claim 1, wherein: the number of the Web pages is multiple, and the Web pages are connected through a network.
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