CN111913970A - Cadmium-related enterprise directory construction system and construction method based on industry difference - Google Patents
Cadmium-related enterprise directory construction system and construction method based on industry difference Download PDFInfo
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- CN111913970A CN111913970A CN202010826881.8A CN202010826881A CN111913970A CN 111913970 A CN111913970 A CN 111913970A CN 202010826881 A CN202010826881 A CN 202010826881A CN 111913970 A CN111913970 A CN 111913970A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9532—Query formulation
Abstract
The invention relates to a cadmium-related enterprise directory construction system and a cadmium-related enterprise directory construction method based on industry differences, wherein the system comprises a cadmium-related industry type determination module, a crawling module, a supplement module, an integration cleaning module and a cadmium-related industry enterprise directory formation module; the cadmium-related industry type determining module is used for determining the specific cadmium-related industry type; the crawling module is used for crawling the cadmium-related enterprise public data information and performing formatting processing; the supplementary module is used for crawling by taking a directory information website of the industrial and commercial enterprises as a supplementary information source in combination with the determined cadmium-related industry type and the search keywords to obtain a cadmium-related industry enterprise supplementary directory; the cadmium-related enterprise directory forming module is used for realizing data standardization according to a uniformly set data structure, acquiring preliminary longitude and latitude information of cadmium-related enterprises with missing spatial positions by combining the addresses of the enterprises and the POI information of a network map, and converting a coordinate system according to the uniform spatial information mathematical basis of the project to form the cadmium-related enterprise directory.
Description
Technical Field
The invention relates to the technical field of cadmium-related enterprise information processing, in particular to a cadmium-related enterprise directory construction system and method based on industry differences.
Background
In the prior art, enterprise data related to cadmium industry mainly comes from active disclosure of relevant functional departments of national ecological environment protection, data accuracy and authority are guaranteed to a certain extent, but the data collection mode is mainly obtained by step-by-step summary reporting, the information timeliness and integrity are insufficient, the situations of missing reporting and hiding are difficult to completely avoid, therefore, comprehensive supplement and third party confirmation are necessary to be carried out on portal open information in combination with network geographic big data (comprising commercial information platforms such as a national enterprise credit information public system, enterprise investigation, sky eye investigation, green network and the like), and meanwhile, spatial information of enterprise longitude and latitude information is extracted by combining network map POI information, so that the spatialization of enterprise information is realized, and a nationwide cadmium enterprise directory which is more complete and can be rapidly updated is established.
Disclosure of Invention
The invention aims to provide a system and a method for constructing a name list of cadmium-related enterprises based on industry differences, and aims to solve the technical problems of how to improve the timeliness and integrity of information of cadmium-related enterprise data and improve the reliability of estimation of cadmium emission intensity of each cadmium-related enterprise in an area range.
In order to achieve the purpose, the invention provides a cadmium-related enterprise directory construction system based on industry difference, which comprises a cadmium-related industry type determination module, a crawling module, a supplement module, an integration cleaning module and a cadmium-related industry enterprise directory formation module; the cadmium-related industry type determining module is used for determining the specific cadmium-related industry type; the crawling module is used for crawling various data information of cadmium-related enterprises disclosed on the internet of related functional departments of national and local ecological environment protection on the basis of determining the specific cadmium-related industry, and performing formatting treatment; the supplement module is used for taking a national industry and commerce credit investigation system and a third-party data set as a data source for crawling cadmium-related enterprise information network big data, and crawling through the determined cadmium-related industry type and the search keywords to obtain a cadmium-related industry enterprise supplement directory; the integrated cleaning module is used for further integrating supplementary data extracted based on network big data and nationwide cadmium-related enterprise directory information which is perfect through department public data, and cleaning data of a data set obtained by integration; the cadmium-related enterprise directory forming module is used for realizing data standardization according to a uniformly set data structure, acquiring preliminary longitude and latitude information of a cadmium-related enterprise with a spatial position missing by combining an enterprise address and network map POI information, and performing coordinate system conversion according to a spatial information mathematical basis with a uniform project to form a preliminary cadmium-related enterprise directory with spatial attributes.
The cleaning of the data comprises the removal of the duplication, the correction of the spatial position and the elimination of irrelevant enterprises which only have the distribution business.
The data cleaning principle is as follows: firstly, carrying out unsupervised cleaning and then carrying out supervised cleaning.
The unsupervised cleaning is to define a data cleaning algorithm in advance, automatically execute the algorithm by a computer, clean a data set and then generate a cleaning report.
The unsupervised cleaning comprises the deletion of enterprises which are related to, do not contain, do not relate to, exclude, remove, desulfurize, do not contain phosphorus and lead in the operation range; and deleting the sales enterprises, wherein the enterprises comprise the enterprise name and the enterprise business range including marketing, purchasing, exchanging and exporting, and do not comprise the enterprises for collecting, selecting, processing, producing, smelting and manufacturing characters.
The supervised cleaning is to collect analysis data under the guidance of field experts, manually remove obvious noise data and repeated records, judge and fill up default data.
The cadmium-related industry comprises a cadmium-related raw material industry and a cadmium-related impurity industry; the cadmium-related raw material industry is a production enterprise taking cadmium as one of raw materials, and the cadmium-related impurity industry is the cadmium-related industry taking cadmium as an impurity in the production process.
The cadmium-related raw material industry comprises enterprises in the industries of nickel-cadmium battery or solar battery production, cadmium-containing pigment, plastic, glass and ceramic production, cadmium alloy manufacturing and cadmium plating.
The cadmium-related impurity industry comprises non-ferrous metal ore mining and smelting, steel dressing and smelting, and cement and phosphate fertilizer production.
The invention also provides a cadmium-related enterprise directory construction method based on the industry difference, which comprises the following steps:
1) determining the industry specifically related to cadmium: for the cadmium-related industry, there are two main categories: one is related to the industry of cadmium raw materials, and the other is related to the industry of cadmium impurities; the cadmium-related raw material industry is a production enterprise taking cadmium as one of raw materials; the cadmium-related impurity industry is the cadmium-related industry in which cadmium appears as an impurity in the production process; the cadmium-related raw material industry comprises enterprises in the industries of nickel-cadmium battery or solar battery production, cadmium-containing pigment, plastic, glass, ceramic production, cadmium alloy manufacturing and cadmium plating; the cadmium-related impurity industry comprises non-ferrous metal ore mining and smelting, steel dressing and smelting, and cement and phosphate fertilizer production;
2) on the basis of determining the specific cadmium-related industry type, crawling various data information of cadmium-related enterprises which are disclosed on the internet by national and local ecological environment protection related functional departments, and performing formatting treatment;
3) the method comprises the steps that a national industry and commerce credit investigation system and a third-party data set are used as data sources for crawling cadmium-related enterprise information network big data, and a cadmium-related industry enterprise supplementary directory is obtained through crawling of a determined cadmium-related industry type and a retrieval keyword;
4) the supplementary data extracted based on the network big data and the nationwide cadmium-related enterprise directory information which is perfect through department public data are further integrated, and data cleaning is carried out on the integrated data set, wherein the data cleaning comprises duplication removal, spatial position correction and elimination of irrelevant enterprises with only distribution services;
the data cleaning principle is as follows:
A. firstly, carrying out unsupervised cleaning: a data cleaning algorithm is predefined, the computer automatically executes the algorithm to clean the data set, and then a cleaning report is generated; wherein said unsupervised cleaning comprises removing from the business area the exclusion, elimination, desulfurization, phosphorus-free, lead-free enterprises; deleting sales enterprises including enterprises in which marketing, purchasing, facilitating and exporting are included in the operation range, and simultaneously, enterprises which do not include character collection, selection, processing, production, smelting and character manufacturing are not included;
B. and then carrying out supervised cleaning: analyzing the collected data under the guidance of field experts, manually removing obvious noise data and repeated records, and judging and filling up the default data;
5) the data standardization is realized according to a uniformly set data structure, the initial longitude and latitude information of the cadmium-related enterprise lacking in the spatial position is obtained by combining the address of the enterprise and the POI information of a network map, and the coordinate system conversion is carried out according to the uniform spatial information mathematical basis of the project, so that the initial cadmium-related enterprise directory with the spatial attribute is formed.
Advantageous effects
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of establishing a nationwide cadmium-related enterprise directory based on multi-source data, comprehensively supplementing portal public information and confirming third parties by combining network geographic big data (comprising a national enterprise credit information public system, an enterprise investigation system, a sky eye investigation system, a green network and other commercial information platforms), and extracting latitude and longitude information of a spatial coordinate missing enterprise by combining network map POI information to realize the spatialization of the enterprise information, thereby establishing the nationwide cadmium-related enterprise directory which is more complete and supports quick updating.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a schematic structural diagram of a directory construction system of a cadmium-related enterprise according to the present invention.
FIG. 2 is a roadmap for cadmium-related enterprise acquisition technologies.
Detailed Description
The present invention is described in more detail below to facilitate an understanding of the present invention.
As shown in fig. 1, the system for constructing a directory of an enterprise related to cadmium based on industry differences includes a cadmium-related industry type determining module, a crawling module, a supplementing module, an integrating and cleaning module, and a directory forming module of an enterprise related to cadmium; the cadmium-related industry type determining module is used for determining the specific cadmium-related industry type; the crawling module is used for crawling various data information of cadmium-related enterprises disclosed on the internet of related functional departments of national and local ecological environment protection on the basis of determining the specific cadmium-related industry, and performing formatting treatment; the cadmium-related industry enterprise directory supplement module is used for taking a national industrial and commercial credit investigation system and a third-party data set (such as enterprise investigation and sky investigation) as a data source for crawling cadmium-related enterprise information network big data, and crawling cadmium-related industry enterprise directory supplement through a determined cadmium-related industry type and a retrieval keyword (see the following table 1); the integrated cleaning module is used for further integrating supplementary data extracted based on network big data and nationwide cadmium-related enterprise directory information which is perfect through department public data, and cleaning data of a data set obtained by integration; the cadmium-related enterprise directory forming module is used for realizing data standardization according to a uniformly set data structure, acquiring preliminary longitude and latitude information of a cadmium-related enterprise by combining the address of the enterprise and the POI information of a network map, and converting a coordinate system according to the spatial information mathematical basis with uniform projects to form a preliminary cadmium-related enterprise directory with spatial attributes.
The cleaning of the data comprises the removal of the duplication, the correction of the spatial position and the elimination of irrelevant enterprises which only have the distribution service.
The data cleaning principle is as follows: firstly, carrying out unsupervised cleaning and then carrying out supervised cleaning.
The unsupervised cleaning is to define a data cleaning algorithm in advance according to a certain business rule, automatically execute the algorithm by a computer, clean a data set and then generate a cleaning report. For example, deleting enterprises in the business segment that do not include, do not contain, do not involve, exclude, remove, desulfurize (smelting, chemical), do not contain phosphorus (chemical), do not contain lead (battery); and deleting irrelevant enterprises with only distribution business, namely enterprises with names and operation ranges including marketing, purchasing, facilitating and exporting, and enterprises without including collecting, selecting, processing, producing, smelting and manufacturing characters.
The supervised cleaning is to analyze collected data, manually remove obvious noise data and repeated records, judge and fill up default data under the guidance of field experts.
The cadmium-related industry comprises a cadmium-related raw material industry and a cadmium-related impurity industry; the cadmium-related raw material industry is a production enterprise taking cadmium as one of raw materials, and the cadmium-related impurity industry is a cadmium-related industry which appears as impurities in the production process.
The cadmium-related raw material industry mainly comprises industrial enterprises such as nickel-cadmium battery/solar battery production, cadmium-containing pigment, plastics, glass, ceramic production, cadmium alloy manufacturing, cadmium plating and the like, wherein the most main application field of directly using cadmium is the battery industry, nearly 86% of cadmium in the world is applied to manufacturing of nickel-cadmium batteries, 9% of cadmium is used for producing pigment, 4% of cadmium is used for producing coating, and 1% of cadmium is used for producing alloy, solar panels and stabilizers; the cadmium-related impurity industry mainly comprises the mining and the smelting of non-ferrous metal ores such as copper, lead and zinc, the selection and the smelting of steel, the production and the manufacture of cement, phosphate fertilizer and the like.
The invention also provides a cadmium-related enterprise directory construction method based on the industry difference, which comprises the following steps:
1) determining the industry specifically related to cadmium: for the cadmium-related industry, there are two main categories: one is a production enterprise (related to cadmium raw material industry) taking cadmium as one of raw materials, and the other is a cadmium-related industry (related to cadmium impurity industry) taking cadmium as an impurity in the production process. The former mainly comprises the enterprises of industries such as nickel-cadmium cell/solar cell production, cadmium-containing pigment, plastics, glass, ceramic production, cadmium alloy manufacturing, cadmium plating and the like, wherein the most main application field of directly using cadmium is the cell industry, nearly 86% of the global cadmium is applied to manufacturing the nickel-cadmium cell currently, 9% is used for producing the pigment, 4% is used for producing the coating, 1% is used for producing the alloy, a solar cell panel and a stabilizer; the cadmium-related industry appearing as impurities mainly comprises the mining and the smelting of non-ferrous metal ores such as copper, lead and zinc, the selection and the smelting of steel, the production and the manufacture of cement, phosphate fertilizer and the like.
The current major cadmium-related industry in China is classified according to the latest national economic industry (2017) as shown in Table 1.
TABLE 1 cadmium industry types and search keywords therefor
2) On the basis of determining the specific cadmium-related industry, various data information related to cadmium enterprises, which is disclosed on the internet by national and local ecological environment protection related functional departments, is crawled and formatted.
The types of government public data that need to be crawled are shown in table 2.
TABLE 2 types of government open data that need to be crawled
3) A national industry and commerce credit investigation system and a third-party data set (such as enterprise investigation and sky investigation) are used as data sources for crawling cadmium-related enterprise information network big data, and a cadmium-related industry supplementary directory is obtained by crawling through determined cadmium-related industry types and search keywords (see table 1).
4) And (3) further integrating the supplementary data extracted based on the network big data and the nationwide cadmium-related enterprise directory information which is perfect through department public data, and cleaning the data of the integrated data set, wherein the cleaning comprises the steps of removing duplicate, correcting the spatial position and removing irrelevant enterprises which only relate to distribution.
The data cleansing principle is as follows:
1. firstly, carrying out unsupervised cleaning: according to a certain business rule, a data cleaning algorithm is predefined, the algorithm is automatically executed by a computer, the data set is cleaned, and then a cleaning report is generated. For example, deleting enterprises in the business segment that do not include, do not contain, do not involve, exclude, remove, desulfurize (smelting, chemical), do not contain phosphorus (chemical), do not contain lead (battery); and deleting irrelevant enterprises only relating to distribution, namely enterprises with names and operation ranges including marketing, purchasing, facilitating and exporting, and enterprises without including sampling, selecting, processing, producing, smelting and manufacturing characters.
2. And then carrying out supervised cleaning: under the guidance of field experts, analyzing the collected data, manually removing obvious noise data and repeated records, and comprehensively judging and filling up the default data.
5) And carrying out data standardization according to a uniformly set data structure, acquiring preliminary longitude and latitude information of the enterprise with the missing spatial position by combining the address of the enterprise and the POI information of a network map, and carrying out coordinate system conversion according to the spatial information mathematical basis with uniform projects to form a preliminary cadmium-related enterprise directory with spatial attributes.
The specific process of the cadmium-related enterprise directory construction method based on the industry difference is shown in fig. 2.
The distribution of cadmium-related enterprises after the preliminary cleaning and classification is shown in table 3.
TABLE 3 cadmium-related Enterprise distribution after cleaning and Classification
The foregoing describes preferred embodiments of the present invention, but is not intended to limit the invention thereto. Modifications and variations of the embodiments disclosed herein may be made by those skilled in the art without departing from the scope and spirit of the invention.
Claims (10)
1. The cadmium-related enterprise directory construction system based on the industry difference is characterized by comprising a cadmium-related industry type determination module, a crawling module, a supplementing module, an integration cleaning module and a cadmium-related industry enterprise directory forming module; the cadmium-related industry type determining module is used for determining the specific cadmium-related industry type; the crawling module is used for crawling various data information of cadmium-related enterprises disclosed on the network of related functional departments for protecting the national and local ecological environments on the basis of determining the specific cadmium-related industry types, and performing formatting treatment; the supplement module is used for taking a national industry and commerce credit investigation system and a third-party data set as a data source for crawling cadmium-related enterprise information network big data, and crawling through the determined cadmium-related industry type and the search keywords to obtain a cadmium-related industry enterprise supplement directory; the integrated cleaning module is used for further integrating supplementary data extracted based on network big data and nationwide cadmium-related enterprise directory information which is perfect through department public data, and cleaning data of a data set obtained by integration; the cadmium-related enterprise directory forming module is used for realizing data standardization according to a uniformly set data structure, acquiring preliminary longitude and latitude information of a cadmium-related enterprise with a spatial position missing by combining an enterprise address and network map POI information, and performing coordinate system conversion according to a spatial information mathematical basis with a uniform project to form a preliminary cadmium-related enterprise directory with spatial attributes.
2. The cadmium-involved enterprise directory construction system of claim 1, wherein the cleaning of the data comprises deduplication, spatial position rectification and elimination of unrelated enterprises with only marketing services.
3. The cadmium-related enterprise directory construction system of claim 2, wherein the step of cleaning the data comprises: firstly, carrying out unsupervised cleaning and then carrying out supervised cleaning.
4. The cadmium-involved enterprise directory construction system of claim 3, wherein the unsupervised cleaning is a predefined data cleaning algorithm, which is automatically executed by a computer to clean the data set and then generate a cleaning report.
5. The cadmium-involved enterprise directory construction system of claim 3, wherein the unsupervised cleaning comprises deleting of non-included, excluded, removed, desulfurized, phosphorus-free, lead-free enterprises from the business scope; and deleting the sales enterprises, including enterprises with names and operation ranges including marketing, purchasing, easy and export, and enterprises without including sampling, selecting, processing, producing, smelting and manufacturing characters.
6. The cadmium-involved enterprise directory construction system of claim 3, wherein the supervised cleaning is under the guidance of domain experts to analyze collected data, manually remove obvious noisy data and duplicate records, judge and fill in missing value data.
7. The system for constructing the directory of the cadmium-related enterprise according to claim 1, wherein the cadmium-related industry comprises a cadmium-related raw material industry and a cadmium-related impurity industry; the cadmium-related raw material industry is a production enterprise taking cadmium as one of raw materials, and the cadmium-related impurity industry is the cadmium-related industry taking cadmium as an impurity in the production process.
8. The system of claim 7, wherein the industry of cadmium-related raw materials includes enterprises in the industries of nickel-cadmium battery or solar battery production, cadmium-containing pigment, plastic, glass, ceramic production, cadmium alloy manufacturing, and cadmium plating.
9. The system of claim 7, wherein the industry of cadmium-related impurities includes non-ferrous metal ore mining and smelting, steel smelting, fossil fuel, cement and phosphate fertilizer production and manufacturing.
10. A cadmium-related enterprise directory construction method based on industry difference is characterized by comprising the following steps:
1) determining the industry specifically related to cadmium: for the cadmium-related industry, there are two main categories: one is related to the industry of cadmium raw materials, and the other is related to the industry of cadmium impurities; the cadmium-related raw material industry is a production enterprise taking cadmium as one of raw materials; the cadmium-related impurity industry is the cadmium-related industry in which cadmium appears as an impurity in the production process; the cadmium-related raw material industry comprises enterprises in the industries of nickel-cadmium battery or solar battery production, cadmium-containing pigment, plastic, glass, ceramic production, cadmium alloy manufacturing and cadmium plating; the cadmium-related impurity industry comprises non-ferrous metal ore mining and smelting, steel dressing and smelting, and cement and phosphate fertilizer production;
2) on the basis of determining the specific cadmium-related industry, crawling various data information of cadmium-related enterprises, which are disclosed on the internet by national and local ecological environment protection-related functional departments, and performing formatting treatment;
3) the method comprises the steps that a national industry and commerce credit investigation system and a third-party data set are used as data sources for crawling cadmium-related enterprise information network big data, and a cadmium-related industry enterprise supplementary directory is obtained through crawling of a determined cadmium-related industry type and a retrieval keyword;
4) further integrating the data extracted based on the network big data and the nationwide cadmium-related enterprise directory information which is perfect through department public data, and cleaning the data of the integrated data set, wherein the cleaning comprises duplication removal, spatial position correction and elimination of irrelevant enterprises with only distribution services;
the data cleaning principle is as follows:
A. firstly, carrying out unsupervised cleaning: a data cleaning algorithm is predefined, the computer automatically executes the algorithm to clean the data set, and then a cleaning report is generated; wherein said unsupervised cleaning comprises removing from the business area the exclusion, elimination, desulfurization, phosphorus-free, lead-free enterprises; deleting sales enterprises including enterprises names and enterprises which include marketing, purchasing, exchanging and exporting in the operation range and do not include enterprises which collect, select, process, produce, smelt and manufacture characters;
B. and then carrying out supervised cleaning: analyzing the collected data under the guidance of field experts, manually removing obvious noise data and repeated records, and judging and filling up the default data;
5) the data standardization is realized according to a uniformly set data structure, the initial longitude and latitude information of the cadmium-related enterprise lacking in the spatial position is obtained by combining the address of the enterprise and the POI information of a network map, and the coordinate system conversion is carried out according to the uniform spatial information mathematical basis of the project, so that the initial cadmium-related enterprise directory with the spatial attribute is formed.
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| CN110096490A (en) * | 2018-10-18 | 2019-08-06 | 苏州科技大学 | Contaminated site database and its construction method |
| CN110597870A (en) * | 2019-08-05 | 2019-12-20 | 长春市万易科技有限公司 | Enterprise relation mining method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107967313A (en) * | 2017-11-21 | 2018-04-27 | 中科宇图科技股份有限公司 | A kind of method for merging different industries data based on field data and coordinate general character |
| CN110096490A (en) * | 2018-10-18 | 2019-08-06 | 苏州科技大学 | Contaminated site database and its construction method |
| CN110597870A (en) * | 2019-08-05 | 2019-12-20 | 长春市万易科技有限公司 | Enterprise relation mining method |
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