CN112734493A - Industry monitoring analysis platform - Google Patents
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Abstract
The invention discloses an industry monitoring and analyzing platform which comprises a management end and a client end, wherein the management end comprises a central processing module, an information acquisition module, an information integration management module, a storage module and a supply and demand matching module; the client comprises an operation module and a display module; the information acquisition module acquires basic information of an enterprise, the information integration management module integrates the information acquired by the information acquisition module, integrates, classifies and grades the information to obtain industry integration information and uploads the industry integration information to the storage module and the central processing module, and the central processing module controls the display module to display the industry integration information in a chart; a user inputs a demand keyword to the supply and demand matching module through the operation module, and the supply and demand matching module extracts an enterprise with the highest matching similarity from the storage module according to the demand keyword and recommends the enterprise to the user; the invention displays the industry information to the user by the chart through collecting and integrating the industry information, and the user searches and matches the industry and enterprise information according to the requirement, thus the operation is simple and the efficiency is high.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to an industry monitoring and analyzing platform.
Background
The industry refers to a general name of the state composed of various related industries with different division, which are mutually connected by benefits, and although the operation mode, the operation state, the enterprise mode and the circulation link of the industry are different, the operation objects and the operation range of the industry are expanded around common products, and respective circulation can be completed in the various industries composing the state.
The existing industries and enterprises have huge data, a user often acquires information by means of advertisement, introduction, network query and the like when inquiring information of other industries or enterprises, the operation is complex, the efficiency is low, the information is difficult to acquire accurately, a platform for monitoring and analyzing the industries is lacked, and the existing high-efficiency requirements are not met.
Disclosure of Invention
The invention aims to provide an industry monitoring and analyzing platform, which is simple to operate and high in efficiency, and can collect and integrate industry information to be displayed to a user in a chart mode, and the user can search and match industry and enterprise information according to requirements.
In order to achieve the purpose, the invention adopts the following technical scheme:
an industry monitoring and analyzing platform comprises a management end and a client, wherein the management end comprises a central processing module, an information acquisition module, an information integration management module, a storage module and a supply and demand matching module; the client comprises an operation module and a display module;
the information acquisition module acquires basic information of an enterprise, the information integration management module integrates the information acquired by the information acquisition module, integrates and classifies and grades the information to obtain industry integration information and uploads the industry integration information to the storage module and the central processing module, and the central processing module controls the display module to display the industry integration information in a chart;
and the supply and demand matching module extracts the enterprises with the highest matching similarity from the storage module according to the demand keywords and recommends the enterprises to the user.
Furthermore, the information acquisition module adopts the distributed crawler model to acquire the basic information of an enterprise, the central processing module is used for conveying acquisition tasks and instructions to the information acquisition module, the distributed crawler model starts crawler threads and acquires URLs, pages corresponding to the URLs are crawled according to a target website formulated by the acquisition tasks, and page data are downloaded and acquired.
Furthermore, the information acquisition module cleans and analyzes the acquired page data through the information processing submodule, generates a formatted data set matched with the acquisition task and stores the formatted data set into the storage module.
Further, the information integration module comprises a classification integration submodule and a grading scoring submodule, the classification integration submodule performs classification integration according to basic information of the enterprises to obtain industry integration information and displays the industry integration information in the display module in a chart mode, the grading scoring submodule scores the enterprises by adopting a fuzzy Delphi method and a hierarchical analysis method, and enterprise ranking is obtained sequentially from high to low according to the scores.
Furthermore, the display module comprises any one of a computer end, a mobile phone end and a flat panel end for displaying the industry integration information.
Further, the industry integration information includes industry distribution location, industry total number, industry type and industry size.
Furthermore, the supply and demand matching module comprises a retrieval submodule, a similarity submodule, a neighbor filtering submodule and a result recommending submodule, a user inputs a demand keyword through the operation module to form a retrieval formula and transmits the retrieval formula to the retrieval submodule, the retrieval submodule extracts basic information of an enterprise according to the retrieval formula and is connected with the storage module to perform fuzzy matching to obtain a matching enterprise, and the similarity submodule performs similarity calculation on the matching enterprise to obtain similarity score and ranking of the matching enterprise; feedback information of the neighbor users is obtained through the neighbor filtering submodule; and the result recommending submodule is respectively connected with the similarity submodule and the neighbor filtering submodule, combines feedback information of the matched enterprise and the neighbor users and pushes the feedback information to the users through the display module.
Furthermore, the similarity operator module calculates the similarity between the retrieval formula and the basic information of the enterprise by adopting a cosine similarity algorithm and scores the similarity, and the neighbor filtering submodule acquires the feedback information of the neighbor User by adopting a User-based collaborative filtering algorithm.
Further, the basic information of the enterprise comprises the industry, the current position, the registration time, the registered fund, the personnel scale, the revenue, the profit and the enterprise keywords; the retrieval formula is one or more of industry, current position, registration time, registered fund, personnel scale, revenue, profit and enterprise keyword combination.
Furthermore, the operation module comprises an input module and an output module, and the input module is connected with the central processing module and controls the supply and demand matching module to acquire enterprises meeting the requirements of users; and the user downloads, calls, queries and uploads the data to the storage module through the output module.
After adopting the technical scheme, compared with the background technology, the invention has the following advantages:
1. according to the invention, a user controls and acquires data information in the client through the client, the client acquires enterprise information through the information acquisition module, the information integration management module integrates the acquired industrial integration information, the industrial integration information is stored in the storage module and displayed to the user in the display module, the user inputs a demand keyword through the operation module and matches the demand keyword in the supply and demand matching module to acquire enterprise information recommended by the platform, the operation is convenient, the information is high in efficiency, and the industrial information is intuitively acquired through the display module.
2. The information acquisition module acquires the basic information of an enterprise by adopting the distributed crawler model, and crawls the directional data of the target website by the distributed crawler model of the distributed deployment crawler cluster, so that the crawling efficiency and the data accuracy are improved.
3. The supply and demand matching module acquires and recommends the industry and enterprise information most suitable for the User requirements through fuzzy matching, a cosine similarity algorithm and a User-based collaborative filtering algorithm, has high accuracy and convenient operation, and saves a large amount of time and cost.
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FIG. 1 is a system framework diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Examples
Referring to fig. 1, the present invention discloses an industry monitoring and analyzing platform, which includes a management end and a client, wherein the management end includes a central processing module, an information acquisition module, an information integration management module, a storage module and a supply and demand matching module; the client comprises an operation module and a display module.
The information acquisition module acquires basic information of an enterprise, the information integration management module integrates the information acquired by the information acquisition module, integrates, classifies and grades the information to obtain industry integration information, and uploads the industry integration information to the storage module and the central processing module, and the central processing module controls the display module to display the industry integration information in a chart.
The user inputs the demand keywords to the supply and demand matching module through the operation module, and the supply and demand matching module extracts the enterprises with the highest matching similarity from the storage module according to the demand keywords and recommends the enterprises to the user.
The operation module comprises an input module and an output module, is connected with the central processing module through the input module and controls the supply and demand matching module to acquire enterprises meeting the requirements of users; and the user downloads, calls, queries and uploads the data to the storage module through the output module.
The information acquisition module acquires basic information of an enterprise by adopting a distributed crawler model, transmits an acquisition task and an instruction to the information acquisition module through a central processing module, starts a crawler thread and acquires a URL (uniform resource locator), crawls a page corresponding to the URL according to a target website formulated by the acquisition task, and downloads and acquires page data; the directional data of the target website are crawled through the distributed crawler model of the distributed deployment crawler cluster, and the crawling efficiency and the data accuracy are improved.
The information acquisition module cleans and analyzes the acquired page data through the information processing submodule, generates a formatted data set matched with the acquisition task and stores the formatted data set into the storage module.
The data is cleaned, and standardized processing including filtering, checking and the like is mainly performed on the data. The method is mainly used for standardizing data such as indexes needing statistical analysis in the industry, technical indexes, technical sources and the like. The method is mainly implemented by using an NLP (natural language) technology, including word segmentation, part-of-speech tagging, keyword extraction, similarity and the like, and realizing by using a third-party natural language processing open interface (such as a Baidu AI open platform, Tencent Wenzhi, Bosonnlp and the like) and an open-source natural language processing library (such as HanLP, jieba, Ansj and the like).
The information integration module comprises a classification integration submodule and a grading scoring submodule, the classification integration submodule performs classification integration according to basic information of an enterprise to obtain industry integration information and displays the industry integration information in the display module by using a chart, the grading scoring submodule scores the enterprise by adopting a fuzzy Delphi method (max-min) and a hierarchical analysis method (AHP), and enterprise ranking is obtained in sequence from high to low according to the scoring.
The management terminal determines evaluation factors of industry and enterprise classification through investigation, designs the selected evaluation factors into a questionnaire for investigation, analyzes the questionnaire result by using a fuzzy Delphi method (max-min), and screens out important evaluation factors as the basis of evaluation criterion weight analysis of a hierarchical analysis method; carrying out pair-wise comparison on the screened evaluation factors of all evaluation criterion factors by a hierarchical analysis method, and carrying out comparison matrix calculation to obtain a weight value of each hierarchical evaluation criterion; and finally, fine-tuning the weight value according to the experience of management personnel at the management end.
The display module comprises any one of a computer end, a mobile phone end and a flat plate end for displaying the industry integration information; and 3 modes of a macro mode, a mesoscopic mode and a micro mode are displayed according to the collected data, and the whole development condition of the industry, the condition of the sub-industry and the condition of the enterprise and the product/service/solution are displayed.
Wherein, the macro mode is the scale, speed increasing, number of enterprises and region distribution of the industry; the mesoscopic mode is the condition of sub-industries (software information service industry, business and trade industry, modern logistics industry, cultural performance propagation industry and mechanical equipment manufacturing industry), and comprises the conditions of the scale, the speed increase, the number of enterprises, the regional distribution, the market share ratio and part of key data indexes of each industry; the micro-model is the case of the enterprise and its products/services/solutions, including the type of product/service/solution, profile, market share, critical technology applications, and application scenarios.
The industry integration information includes industry distribution location, industry total number, industry type and industry scale.
The supply and demand matching module comprises a retrieval submodule, a similarity submodule, a neighbor filtering submodule and a result recommending submodule, a user inputs a demand keyword through the operation module to form a retrieval formula and transmits the retrieval formula to the retrieval submodule, the retrieval submodule is connected with the storage module according to the retrieval formula to extract basic information of an enterprise and carries out fuzzy matching to obtain a matching enterprise, and the similarity submodule carries out similarity calculation on the matching enterprise to obtain similarity grading and ranking of the matching enterprise; feedback information of the neighbor users is obtained through a neighbor filtering submodule; and the result recommending submodule is respectively connected with the similarity submodule and the neighbor filtering submodule, combines the feedback information of the matched enterprise and the neighbor users and pushes the feedback information to the users through the display module.
The similarity operator module calculates the similarity between the retrieval formula and the basic information of the enterprise by adopting a cosine similarity algorithm and scores the similarity, and the neighbor filtering submodule acquires the feedback information of the neighbor users by adopting a User-based collaborative filtering algorithm.
The supply and demand matching module acquires and recommends the industry and enterprise information which is most suitable for the User requirements through fuzzy matching, a cosine similarity algorithm and a User-based collaborative filtering algorithm, the accuracy is high, the operation is convenient, and a large amount of time cost is saved.
The basic information of the enterprise comprises the affiliated industry, the current position, the registration time, the registered fund, the personnel scale, the revenue, the profit and the enterprise keywords; the retrieval formula is one or more of the combination of the industry, the current position, the registration time, the registration fund, the personnel size, the revenue, the profit and the enterprise keyword.
The user of this embodiment controls and obtains the data information in the client through the client, and the client passes through information acquisition module collection enterprise information, obtains industry integration information through information integration management module integration and saves to the storage module and show for the user in the show module, and the user inputs demand keyword through the operation module and matches at supply and demand matching module and obtains the enterprise information that the platform recommends, and convenient operation and information perhaps are efficient, acquire the industry information through the show module directly perceivedly.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An industry monitoring and analyzing platform comprises a management end and a client, and is characterized in that the management end comprises a central processing module, an information acquisition module, an information integration management module, a storage module and a supply and demand matching module; the client comprises an operation module and a display module;
the information acquisition module acquires basic information of an enterprise, the information integration management module integrates the information acquired by the information acquisition module, integrates and classifies and grades the information to obtain industry integration information and uploads the industry integration information to the storage module and the central processing module, and the central processing module controls the display module to display the industry integration information in a chart;
and the supply and demand matching module extracts the enterprises with the highest matching similarity from the storage module according to the demand keywords and recommends the enterprises to the user.
2. An industry monitoring analysis platform as claimed in claim 1, wherein: the information acquisition module adopts the distributed crawler model to acquire the basic information of an enterprise, the central processing module is used for conveying acquisition tasks and instructions to the information acquisition module, the distributed crawler model starts crawler threads and acquires URLs, pages corresponding to the URLs are crawled according to a target website formulated by the acquisition tasks, and page data are downloaded and acquired.
3. An industry monitoring analysis platform as claimed in claim 2, wherein: and the information acquisition module cleans and analyzes the acquired page data through the information processing submodule, generates a formatted data set matched with the acquisition task and stores the formatted data set into the storage module.
4. An industry monitoring analysis platform as claimed in claim 1, wherein: the information integration module comprises a classification integration submodule and a grading and scoring submodule, the classification integration submodule performs classification integration according to basic information of an enterprise to obtain industry integration information and displays the industry integration information in a chart on the display module, the grading and scoring submodule scores the enterprise by adopting a fuzzy Delphi method and a hierarchical analysis method, and enterprise ranking is obtained in sequence from high to low according to the grading.
5. An industry monitoring analysis platform as claimed in claim 4, wherein: the display module comprises any one of a computer end, a mobile phone end and a flat plate end to display the industry integration information.
6. An industry monitoring analysis platform as claimed in claim 5, wherein: the industry integration information includes industry distribution location, industry total number, industry type and industry scale.
7. An industry monitoring analysis platform as claimed in claim 1, wherein: the supply and demand matching module comprises a retrieval submodule, a similarity submodule, a neighbor filtering submodule and a result recommending submodule, a user inputs a demand keyword through the operation module to form a retrieval formula and transmits the retrieval formula to the retrieval submodule, the retrieval submodule extracts basic information of an enterprise according to the retrieval formula and is connected with the storage module to perform fuzzy matching to obtain a matching enterprise, and the similarity submodule performs similarity calculation on the matching enterprise to obtain similarity score and ranking of the matching enterprise; feedback information of the neighbor users is obtained through the neighbor filtering submodule; and the result recommending submodule is respectively connected with the similarity submodule and the neighbor filtering submodule, combines feedback information of the matched enterprise and the neighbor users and pushes the feedback information to the users through the display module.
8. An industry monitoring analysis platform as claimed in claim 7, wherein: the similarity operator module adopts a cosine similarity algorithm to calculate the similarity between the retrieval formula and the basic information of the enterprise and scores the similarity, and the neighbor filtering submodule adopts a User-based collaborative filtering algorithm to obtain the feedback information of the neighbor users.
9. An industry monitoring analysis platform as claimed in claim 8, wherein: the basic information of the enterprise comprises the industry, the current position, the registration time, the registered fund, the personnel scale, the revenue, the profit and the enterprise keywords; the retrieval formula is one or more of industry, current position, registration time, registered fund, personnel scale, revenue, profit and enterprise keyword combination.
10. An industry monitoring analysis platform as claimed in claim 1, wherein: the operation module comprises an input module and an output module, and is connected with the central processing module through the input module and controls the supply and demand matching module to acquire enterprises meeting the requirements of users; and the user downloads, calls, queries and uploads the data to the storage module through the output module.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104574127A (en) * | 2013-10-21 | 2015-04-29 | 北京中海纪元数字技术发展股份有限公司 | Innovative marketing platform |
| CN107066599A (en) * | 2017-04-20 | 2017-08-18 | 北京文因互联科技有限公司 | A kind of similar enterprise of the listed company searching classification method and system of knowledge based storehouse reasoning |
| KR101844751B1 (en) * | 2017-09-22 | 2018-04-05 | 김성구 | A System Providing Matching Flatform Service Based On Enterprise Analysis |
| CN111008265A (en) * | 2019-12-03 | 2020-04-14 | 腾讯云计算（北京）有限责任公司 | Enterprise information searching method and device |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104574127A (en) * | 2013-10-21 | 2015-04-29 | 北京中海纪元数字技术发展股份有限公司 | Innovative marketing platform |
| CN107066599A (en) * | 2017-04-20 | 2017-08-18 | 北京文因互联科技有限公司 | A kind of similar enterprise of the listed company searching classification method and system of knowledge based storehouse reasoning |
| KR101844751B1 (en) * | 2017-09-22 | 2018-04-05 | 김성구 | A System Providing Matching Flatform Service Based On Enterprise Analysis |
| CN111008265A (en) * | 2019-12-03 | 2020-04-14 | 腾讯云计算（北京）有限责任公司 | Enterprise information searching method and device |
Non-Patent Citations (1)
| Title |
|---|
| 刘慧敏 等: "一种基于本体语义的云制造服务供需智能匹配方法" * |
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