CN112597367A - Data information fusion system and target decision generation method - Google Patents
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Abstract
The application discloses a data information fusion system and a target decision generation method. Wherein, this system includes: the system comprises a data cloud layer module, a software-as-a-service module, an application layer module and a value layer module, wherein the data cloud layer module is used for acquiring and storing data; the software as a service module is used for receiving data from the data cloud layer module and providing an algorithm required by the normal operation of the application layer module; the application layer module is used for acquiring data and an algorithm from the software-as-a-service module and processing the data according to the algorithm to obtain a processing result; and the value layer module is used for generating a target decision according to the processing result. The method and the system solve the technical problem of lagged making related decisions caused by the fact that a company manager cannot know the latest information in time to adjust various work arrangements when making the related decisions.
Description
Technical Field
The present application relates to the field of information processing, and in particular, to a data information fusion system and a target decision generation method.
Background
At present, a company manager cannot timely know the latest information to adjust each work arrangement when making a relevant decision, so that the made relevant decision is delayed, and the development of the company is influenced.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a data information fusion system and a target decision generation method, so as to at least solve the technical problem of lagged decision making caused by the fact that a company manager cannot timely know the latest information to adjust various work arrangements when making the relevant decisions.
According to an aspect of an embodiment of the present application, there is provided a data information fusion system, including: the system comprises a data cloud layer module, a software-as-a-service module, an application layer module and a value layer module, wherein the data cloud layer module is used for acquiring and storing data; the software as a service module is used for receiving data from the data cloud layer module and providing an algorithm required by the normal operation of the application layer module; the application layer module is used for acquiring data and an algorithm from the software-as-a-service module and processing the data according to the algorithm to obtain a processing result; and the value layer module is used for generating a target decision according to the processing result.
Optionally, the data cloud layer module includes: the external data cloud module is used for crawling data from a plurality of websites by utilizing a crawler technology; and the internal data cloud module is used for acquiring data from information resources inside a company executing the objective decision by utilizing a crawler technology.
Optionally, the crawler technique comprises at least one of the following algorithms: backlink, PageRank and Forwardlink.
Optionally, the data cloud layer module acquires data by using a crawler technology through the following method: determining the time required by a crawler to crawl different web pages; and setting a crawler task queue of the crawler according to the time.
Optionally, the data cloud layer module acquires data by using a crawler technology through the following method: analyzing the content of the webpage according to the regular expression, and judging whether js dynamic content exists in the content of the webpage or not; and if the js dynamic content exists in the content of the webpage, crawling the content of the webpage.
Optionally, the application layer module is further configured to generate a processing result from the data according to a preset keyword and the search start-stop time.
According to another aspect of the embodiments of the present application, there is also provided a method for generating a goal decision, where the method is applied to the above data information fusion system, and includes the following steps: crawling first data from a plurality of websites by using a crawler technology, and acquiring second data from information resources inside a company executing a target decision by using the crawler technology; processing the first data and the second data to obtain a processing result; and generating a target decision according to the processing result.
Optionally, crawling first data from a plurality of websites by using a crawler technology, and acquiring second data from information resources inside a company performing the objective decision by using the crawler technology, comprises: determining the time required by a crawler to crawl different web pages; and setting a crawler task queue of the crawler according to the time.
Optionally, crawling first data from a plurality of websites by using a crawler technology, and acquiring second data from information resources inside a company performing the objective decision by using the crawler technology, further comprising: analyzing the content of the webpage according to the regular expression, and judging whether js dynamic content exists in the content of the webpage or not; and if the js dynamic content exists in the content of the webpage, crawling the content of the webpage.
Optionally, the processing the first data and the second data to obtain a processing result, further comprising: and generating a processing result from the data according to the preset keywords and the retrieval starting and ending time.
In an embodiment of the present application, a data information fusion system is provided, including: the system comprises a data cloud layer module, a software-as-a-service module, an application layer module and a value layer module, wherein the data cloud layer module is used for acquiring and storing data; the software as a service module is used for receiving data from the data cloud layer module and providing an algorithm required by the normal operation of the application layer module; the application layer module is used for acquiring data and an algorithm from the software-as-a-service module and processing the data according to the algorithm to obtain a processing result; and the value layer module is used for generating a target decision according to the processing result, and constructing an intelligent internal and external environment dynamic monitoring analysis system by fusing the internal and external mass policy news data of the company, so that the technical effect of providing accurate reference for the company leader decision is realized, and the technical problem of relevant decision making lag caused by the fact that a company manager cannot timely know the latest information to adjust various work arrangements when making the relevant decision is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a block diagram of a data information fusion system according to an embodiment of the present application;
FIG. 2 is a schematic workflow diagram of an application crawler of a data information fusion system according to an embodiment of the present application;
fig. 3 is a flowchart of a method for generating a goal decision according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above 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 application described herein are capable of operation in sequences other than those illustrated or 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.
In accordance with an embodiment of the present application, there is provided an embodiment of a data-information fusion system, where it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Fig. 1 is a block diagram of a data information fusion system according to an embodiment of the present application, and as shown in fig. 1, the system includes:
a data cloud layer module 10, a software as a service module 12, an application layer module 14, and a value layer module 16, wherein,
the data cloud layer module 10 is used for acquiring and storing data;
according to an alternative embodiment of the present application, the data cloud layer module 10 comprises: the external data cloud module is used for crawling data from a plurality of websites by utilizing a crawler technology; and the internal data cloud module is used for acquiring data from information resources inside a company executing the objective decision by utilizing a crawler technology.
The data cloud layer is used as the bottommost data layer, bears the integration and storage functions of all original data required by a big data assistant decision system and is divided into an internal data cloud and an external data cloud. Taking a power grid company as an example, a data cloud layer purchases information resources from public information sources such as important portal websites, media, social networks, professional websites, main forums, blogs and microblogs in China and the like, databases, websites, periodicals, books, meeting information, research reports and the like, and information resources obtained by related department departments or personal communication, so as to comprehensively support the work of the company in the aspects of power supply and demand, power purchase and sale, high-quality service, line loss management, power market, incremental power distribution, block chain technology in power grid optimized operation and the like, and provide powerful policy support for the company leader to know the latest information in time and adjust various work arrangements.
A software as a service module 12 for receiving data from the data cloud layer module 10 and providing algorithms required for supporting the normal operation of the application layer module 14;
software as a Service (SaaS) receives, stores data and required algorithms, and supports application layer operations.
The application layer module 14 is used for acquiring data and algorithms from the software-as-a-service module 12 and processing the data according to the algorithms to obtain processing results;
the application layer acquires data and algorithms from the SaaS layer, and output results are guided to the value layer and fed back to the SaaS layer in a data form.
And the value layer module 16 is used for generating a target decision according to the processing result. The value layer is used for supporting each unit decision of each department.
The system constructs an assistant decision four-layer framework serving each level of a company and constructs a basic breathing type ecosphere around the assistant decision management application requirements of external data information fusion and internal monitoring system sharing. The operation mechanism of the system embodies four characteristics of mutual fusion and intercommunication, high speed and efficiency, data sharing and practical conversion.
By the aid of the system, an intelligent internal and external environment dynamic monitoring and analyzing system is constructed by fusing massive policy news data inside and outside a company, and accordingly the technical effect of providing accurate reference for company leadership decision making is achieved.
According to an alternative embodiment of the present application, the crawler technique comprises at least one of the following algorithms: backlink, PageRank and Forwardlink.
According to another alternative embodiment of the application, the data cloud layer module acquires data by using a crawler technology through the following method: determining the time required by a crawler to crawl different web pages; and setting a crawler task queue of the crawler according to the time.
And external data and internal data are acquired, and a crawler technology is mainly applied. And adopt Erlang queuing model, calculated the cycle of crawling different pages and its time consumption in advance, simulate the crawler operation in advance, set up reasonable crawler task queue.
In an optional embodiment of the present application, the data cloud layer module obtains data by using a crawler technology through the following method: analyzing the content of the webpage according to the regular expression, and judging whether js dynamic content exists in the content of the webpage or not; and if the js dynamic content exists in the content of the webpage, crawling the content of the webpage.
In the aspect of crawler scheduling, the allocation of crawler tasks is controlled through a crawler task scheduling background, the crawler tasks can be concurrent, and a caching mechanism based on the last modification time is adopted, so that the flow loss caused by re-crawling and the crawler sealed risk are avoided.
In order to deal with the search and sealing of the website to the crawler, an IP pool technology is adopted to avoid the excessive frequency of single IP crawling. In the analysis of the webpage content, firstly adopting direct regular text analysis, then detecting whether the webpage has js dynamic content, and if so, adopting selenium dynamic simulation normal user access to crawl data.
And finally, the crawled data is cleaned and stored in an Es server, and tasks such as word segmentation, emotion analysis and the like can be conveniently performed.
In some optional embodiments of the present application, the application layer module is further configured to generate a processing result from the data according to a preset keyword and a search start-stop time.
Fig. 2 is a schematic workflow diagram of an application crawler of a data information fusion system according to an embodiment of the present application, and as shown in fig. 2, the workflow diagram includes the following steps:
and step S1, acquiring data from public information sources such as a portal website and a social network, wherein the data are mainly realized through algorithms such as Backlink, PageRank and Forwarlink.
And step S2, setting task concurrency of the crawler queues, controlling the distribution of crawler tasks through a crawler task scheduling background, enabling the crawler tasks to be concurrent, and avoiding flow loss and crawler sealing risks caused by re-crawling by adopting a cache mechanism based on the last modification time.
And step S3, task scheduling, wherein in order to deal with the search and sealing of the web sites to the crawlers, an IP pool technology is adopted to avoid the excessive frequency of single IP crawling. In the analysis of the webpage content, firstly adopting direct regular text analysis, then detecting whether the webpage has js dynamic content, and if so, adopting selenium dynamic simulation normal user access to crawl data.
And S4, storing the data in the ES server, and finally cleaning and storing the crawled data in the Es server, so that tasks such as word segmentation, emotion analysis and the like can be conveniently performed.
And S5, generating a processing result from the data according to the preset keywords and the retrieval starting and ending time, and constructing an intelligent dynamic monitoring and analyzing system for the internal and external environments in the whole period, such as weekly monitoring, monthly interpretation, seasonal thematic analysis and annual analysis.
S6, outputting the news document and the data information to the designated file path.
And S7, outputting an analysis report.
And S8, assisting decision making.
The invention safely fuses the news data of the internal and external mass policies, constructs an intelligent 'week monitoring, month reading, season special subject, year analysis' full-period internal and external environment dynamic monitoring analysis system, and provides accurate reference for the leadership decision-making of the company. In addition, the invention provides reliable support for the company to achieve fine management of 'excellent service, complaint reduction and tree image' and improve the quality of high-quality service again by monitoring the differentiated requirements of customers on the company service in real time.
The data information fusion system provided by the application has the following characteristics:
(1) the design principle follows the principles of advanced openness principle, interactivity principle, safe reliability principle, extended forward-looking principle, flexible customizable principle, service guide and the like;
(2) the accuracy and the reliability of a search result can be effectively improved, a search engine can respond to users with high efficiency, high accuracy and high coverage rate, and the requirement of a company on accurate aid decision-making is supported;
(3) relevant suggestions of important livelihood suggestions can be screened and identified, processing sequences are arranged according to the importance, urgency and the like of problems, relevant business departments are reported in time, the accuracy and efficiency of demand response are improved, and the satisfaction degree of customers is further improved;
(4) a full-period dynamic monitoring and analyzing system of weekly monitoring, monthly interpretation, special season and annual analysis is established by taking a project as a support and a product as a carrier, and the system comprehensively meets the international leading energy Internet enterprise construction strategy of Chinese characteristics of the national network and promotes the high-quality development and the digital transformation and upgrading of the company.
Fig. 3 is a flowchart of a method for generating a goal decision, which is applied to the above data information fusion system, according to an embodiment of the present application, and as shown in fig. 3, the method includes the following steps:
step S302, crawling first data from a plurality of websites by using a crawler technology, and acquiring second data from information resources inside a company executing a target decision by using the crawler technology;
step S304, processing the first data and the second data to obtain a processing result;
and step S306, generating a target decision according to the processing result.
According to an alternative embodiment of the present application, step S302 is implemented by: determining the time required by a crawler to crawl different web pages; and setting a crawler task queue of the crawler according to the time.
And external data and internal data are acquired, and a crawler technology is mainly applied. And adopt Erlang queuing model, calculated the cycle of crawling different pages and its time consumption in advance, simulate the crawler operation in advance, set up reasonable crawler task queue.
According to another optional implementation of the present application, step S302 may also be implemented by: analyzing the content of the webpage according to the regular expression, and judging whether js dynamic content exists in the content of the webpage or not; and if the js dynamic content exists in the content of the webpage, crawling the content of the webpage.
In the aspect of crawler scheduling, the allocation of crawler tasks is controlled through a crawler task scheduling background, the crawler tasks can be concurrent, and a caching mechanism based on the last modification time is adopted, so that the flow loss caused by re-crawling and the crawler sealed risk are avoided.
In order to deal with the search and sealing of the website to the crawler, an IP pool technology is adopted to avoid the excessive frequency of single IP crawling. In the analysis of the webpage content, firstly adopting direct regular text analysis, then detecting whether the webpage has js dynamic content, and if so, adopting selenium dynamic simulation normal user access to crawl data.
In some optional embodiments of the present application, step S304 is implemented by: and generating a processing result from the data according to the preset keywords and the retrieval starting and ending time.
In the step, data are generated into processing results according to preset keywords and retrieval starting and ending time, and an intelligent 'week monitoring, month reading, season thematic and year analysis' full-period internal and external environment dynamic monitoring analysis system is constructed.
The embodiment of the application also provides a nonvolatile storage medium, wherein the nonvolatile storage medium is used for storing a program, and the program controls the equipment where the nonvolatile storage medium is located to execute the target decision generation method during running.
The nonvolatile storage medium is used for storing a program for executing the following functions: crawling first data from a plurality of websites by using a crawler technology, and acquiring second data from information resources inside a company executing a target decision by using the crawler technology; processing the first data and the second data to obtain a processing result; and generating a target decision according to the processing result.
The embodiment of the present application further provides a processor, where the processor is configured to run a program, and the program executes the following functions when running: crawling first data from a plurality of websites by using a crawler technology, and acquiring second data from information resources inside a company executing a target decision by using the crawler technology; processing the first data and the second data to obtain a processing result; and generating a target decision according to the processing result.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a Read Only Memory (ROM), a random access Memory (RBJDLM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A data information fusion system, comprising: a data cloud layer module, a software as a service module, an application layer module and a value layer module, wherein,
the data cloud layer module is used for acquiring and storing data;
the software-as-a-service module is used for receiving the data from the data cloud layer module and providing algorithms required for supporting the normal operation of the application layer module;
the application layer module is used for acquiring the data and the algorithm from the software-as-a-service module and processing the data according to the algorithm to obtain a processing result;
and the value layer module is used for generating a target decision according to the processing result.
2. The data information fusion system of claim 1, wherein the data cloud module comprises:
the external data cloud module is used for crawling the data from a plurality of websites by utilizing a crawler technology;
and the internal data cloud module is used for acquiring the data from information resources inside a company executing the objective decision by utilizing a crawler technology.
3. The data-information fusion system of claim 2, wherein the crawler technique comprises at least one of the following algorithms: backlink, PageRank and Forwardlink.
4. The data information fusion system of claim 2, wherein the data cloud module utilizes the crawler technology to obtain the data by:
determining the time required by the crawler to crawl different web pages;
and setting a crawler task queue of the crawler according to the time.
5. The data information fusion system of claim 4, wherein the data cloud module utilizes the crawler technology to obtain the data by:
analyzing the content of the webpage according to the regular expression, and judging whether js dynamic content exists in the content of the webpage or not;
and if the js dynamic content exists in the content of the webpage, crawling the content of the webpage.
6. The data information fusion system of claim 1, wherein the application layer module is further configured to generate the processing result from the data according to a preset keyword and a search start-stop time.
7. A method for generating a goal decision, which is applied to the data information fusion system of any one of claims 1 to 6, and comprises the following steps:
crawling first data from a plurality of websites by using a crawler technology, and acquiring second data from information resources inside a company executing a target decision by using the crawler technology;
processing the first data and the second data to obtain a processing result;
and generating a target decision according to the processing result.
8. The method of claim 7, wherein crawling first data from a plurality of websites using crawler technology and obtaining second data from information resources within a company performing a goal decision using the crawler technology comprises:
determining the time required by the crawler to crawl different web pages;
and setting a crawler task queue of the crawler according to the time.
9. The method of claim 8, wherein crawling first data from a plurality of websites using crawler technology and obtaining second data from information resources within a company performing a goal decision using the crawler technology further comprises:
analyzing the content of the webpage according to the regular expression, and judging whether js dynamic content exists in the content of the webpage or not;
and if the js dynamic content exists in the content of the webpage, crawling the content of the webpage.
10. The method of claim 7, wherein processing the first data and the second data to obtain a processing result further comprises: and generating the data into the processing result according to a preset keyword and the retrieval starting and ending time.
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