CN108898281B - Industry park environmental protection service platform based on big data - Google Patents
Industry park environmental protection service platform based on big data Download PDFInfo
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- CN108898281B CN108898281B CN201810568765.3A CN201810568765A CN108898281B CN 108898281 B CN108898281 B CN 108898281B CN 201810568765 A CN201810568765 A CN 201810568765A CN 108898281 B CN108898281 B CN 108898281B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/26—Government or public services
Abstract
The invention discloses an industrial park environment-friendly service platform based on big data, which comprises an enterprise server cluster, an industrial park server cluster and a data server cluster; the enterprise server cluster collects enterprise data, the industrial park server cluster collects all industrial park data, the data server cluster processes the data and interacts with users, the data of the industrial park and each enterprise can be monitored in real time, the existence of unpractical enterprises is avoided, and the healthy development of the industrial park is guaranteed.
Description
Technical Field
The invention relates to a service platform, in particular to an industrial park environment-friendly service platform based on big data.
Background
The industrial park service platform is an industrial park information technology platform and a three-dimensional information service system which are constructed by modern information and network technology means, and with the development of the society, environmental protection becomes a new hotspot, so that at present, a plurality of environmental protection industrial parks are served as soon as possible, and although the external development environment of the environmental protection industry is good, the phenomenon of inexplicable reality still exists in a plurality of environmental protection industrial parks. Although some industrial parks hang the signboard of the environmental protection industrial park, the proportion of the environmental protection enterprises which stay in is very small, and the industrial parks are not much different from the ordinary industrial park or the development park. This is mainly because current environmental protection industrial park adopts traditional service platform, lacks the control to enterprise's blowdown etc. can not control first hand data, has restricted the healthy development of whole industrial park.
Disclosure of Invention
To solve the above technical problems. The invention provides an industrial park environment-friendly service platform based on big data
In order to achieve the purpose, the invention adopts the technical scheme that:
the industrial park environment-friendly service platform based on the big data comprises an enterprise server cluster, an industrial park server cluster and a data server cluster;
enterprise server clustering: collecting and storing the pollution discharge data of each enterprise, collecting and storing the product data produced by each enterprise, and sending the collected pollution discharge data and the product data to an industrial park server cluster;
an industrial park server cluster: collecting and storing other pollution discharge data except for enterprises, receiving the pollution discharge data and product data of each enterprise, and sending all the pollution discharge data and product data to the data server cluster;
a data server cluster: receiving all pollution discharge data and product data of an industrial park, constructing an enterprise pollution discharge model and an entire industrial park pollution discharge model according to all pollution discharge data, and constructing an enterprise product model and an entire industrial park product model according to product data; the data server cluster is also externally connected with an authoritative environment statistical database, collects relevant environment data and constructs an industrial park peripheral environment model; constructing an association model of industrial park pollution discharge data and surrounding environment data by adopting a statistical method; all models provide corresponding data services for the client side where the user is located.
The data server cluster calculates annual average sewage discharge of each enterprise, and whether the sewage discharge of the enterprise is reduced or not is judged by comparing the average sewage discharge of a plurality of recent years.
The annual average sewage discharge of an enterprise = annual total sewage discharge of the enterprise/annual product total of the enterprise.
And the data server cluster calculates the annual average sewage discharge of the industrial park, and judges whether the sewage discharge of the industrial park is reduced or not by comparing the average sewage discharge of a plurality of recent years.
The annual average sewage discharge amount of the industrial park = annual total sewage discharge amount of the industrial park/annual product amount of the industrial park.
The authoritative environment statistical database comprises a pollution source database, an environment quality database, an environment management database, an environment government affair database, an environment-friendly industry operation database and a geographic information system database.
And when the data server cluster collects the relevant environment data, the data format of the relevant environment data is unified.
And converting all data into a readable chart at the client for displaying.
The invention achieves the following beneficial effects: the invention designs a three-level server cluster, the enterprise server cluster collects enterprise data, the industrial park server cluster collects all industrial park data, and the data server cluster processes the data and interacts with users, so that the data of the industrial park and each enterprise can be monitored in real time, the existence of the inexplicable enterprises is avoided, and the guarantee is provided for the healthy development of the industrial park.
Drawings
FIG. 1 is a block diagram of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, the industrial park environment-friendly service platform based on big data includes an enterprise server cluster 3, an industrial park server cluster 2 and a data server cluster 3.
Enterprise server cluster 3: the method comprises the steps of collecting and storing the pollution discharge data of each enterprise, collecting and storing the product data produced by each enterprise, and sending the collected pollution discharge data and the product data to the industrial park server cluster 2.
The pollutants discharged by enterprises are three, namely solid, liquid and gas, wherein the liquid and the gas can be collected by a plurality of sensors and are input after being fixed and needing to pass through load bearing; the pollution discharge data comprises pollution discharge date, form, duration, main components and the like. The product data includes date of manufacture, name, model, etc.
Industry garden server cluster 2: the method comprises the steps of collecting and storing other pollution discharge data except for enterprises, receiving the pollution discharge data and product data of each enterprise, and sending all the pollution discharge data and the product data to the data server cluster 3.
Besides enterprise sewage discharge, the industrial park also comprises domestic sewage discharge data of some workers, mainly domestic sewage, and the data are collected by sensing equipment and then stored.
Data server cluster 3: receiving all pollution discharge data and product data of an industrial park, constructing an enterprise pollution discharge model and an entire industrial park pollution discharge model according to all pollution discharge data, and constructing an enterprise product model and an entire industrial park product model according to product data; the data server cluster 3 is also externally connected with an authoritative environment statistical database, and the data server cluster 3 collects relevant environment data to construct an industrial park peripheral environment model; constructing an association model of the industrial park pollution discharge data and the peripheral environment data by adopting a statistical method (regression analysis, cluster analysis, a fuzzy comprehensive evaluation method, a neural network method, a support vector machine method and the like); all models provide corresponding data services for the client side where the user is located.
The data server cluster 3 screens the pollution discharge data and the product data, screens out data required by a user, and constructs an enterprise pollution discharge model, an industrial park pollution discharge model, an enterprise product model and an industrial park product model according to the required data. The enterprise pollution discharge model provides pollution discharge data service of an enterprise for a client side where a user is located, the industrial park pollution discharge model provides pollution discharge data service of an industrial park for the client side where the user is located, the enterprise product model provides product data service of the enterprise for the client side where the user is located, and the industrial park product model provides product data service of the industrial park for the client side where the user is located.
The data server cluster 3 calculates annual average sewage discharge of each enterprise, the annual average sewage discharge of the enterprise = annual total sewage discharge of the enterprise/annual product total of the enterprise, and judges whether the sewage discharge of the enterprise is reduced or not by comparing the average sewage discharge of the last years; generally, compared with the average sewage discharge amount in the last 5 years, if the average sewage discharge amount is reduced year by year, the reduction of the sewage discharge amount of an enterprise is indicated, the improvement of a product transformation and a process or the addition of a sewage treatment device and the like of the enterprise are further indicated, and if the average sewage discharge amount is increased year by year, the negotiation with a responsible person of the enterprise is required.
Calculating annual average sewage discharge of the industrial park, wherein annual average sewage discharge of the industrial park = annual sewage discharge total amount/annual product total amount of the industrial park, and judging whether the sewage discharge of the industrial park is reduced or not by comparing the average sewage discharge of a plurality of recent years; generally, the average sewage discharge amount in the last 5 years is reduced year by year, which indicates that the industrial park is further healthily developed, and if the average sewage discharge amount is increased year by year, the sewage discharge condition of each enterprise needs to be checked, and the enterprises with large average sewage discharge amount are found for negotiation.
The authoritative environment statistical database comprises a pollution source database, an environment quality database, an environment management database, an environment government affair database, an environment-friendly industry operation database and a geographic information system database. Sources of data in these databases include: the units such as authoritative media, national and local information centers, environmental protection bureaus of provinces and cities, environmental monitoring centers, national development and reform committees, national information centers, committee offices, government offices of provinces and cities, Chinese environmental yearbook, Chinese statistical yearbook, Chinese urban yearbook, national environmental statistical bulletin, environmental statistical yearbook of provinces and cities (bulletin), other related statistical yearbook, Chinese environmental monitoring stations and the like have certain authorities.
When the data server cluster 3 collects the data of the closed environment, because the data storage structures of the environment statistical databases are different, format unification is required, for the structural data of the traditional database, an Sqoop open source tool can be used for completing data transmission from the environmental data in the traditional database to Hadoop (such as HDFS), and for the unstructured or semi-structured data (such as pictures, characters and the like), an Avro open source tool can be used for completing storage and exchange to the Hadoop.
The industrial park peripheral environment model provides industrial park peripheral environment data service for the client where the user is located, and based on the authoritative environment statistical database, a provincial environment model and a city environment model can be built, so that the user can check the environment of the industrial park of the same type, the environmental advantages of the local industrial park are conveniently reflected, and enterprise drop is facilitated.
The association model provides the association relation between the industrial park pollution discharge data and the surrounding environment data for the client side where the user is located, and the surrounding environment can be influenced by controlling the industrial park according to the association relation.
The three-level server cluster of the platform design is characterized in that enterprise data are collected by the enterprise server cluster 3, all the industrial park data are collected by the industrial park server cluster 2, the data are processed by the data server cluster 3 and interacted with users, the data of the industrial park and each enterprise can be monitored in real time, the existence of the unqualified and unrealistic enterprises is avoided, and the guarantee is provided for the healthy development of the industrial park.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (8)
1. Industry garden environmental protection service platform based on big data, its characterized in that: the system comprises an enterprise server cluster, an industrial park server cluster and a data server cluster;
enterprise server clustering: collecting and storing the pollution discharge data of each enterprise, collecting and storing the product data produced by each enterprise, and sending the collected pollution discharge data and the product data to an industrial park server cluster;
an industrial park server cluster: collecting and storing other pollution discharge data except the enterprise pollution discharge data, receiving the pollution discharge data and product data of each enterprise, and sending all the pollution discharge data and product data to the data server cluster;
a data server cluster: receiving all pollution discharge data and product data of an industrial park, constructing an enterprise pollution discharge model and an entire industrial park pollution discharge model according to all pollution discharge data, and constructing an enterprise product model and an entire industrial park product model according to product data; the data server cluster is also externally connected with an authoritative environment statistical database, collects relevant environment data in the authoritative environment statistical database, and constructs an industrial park peripheral environment model; constructing an association model of industrial park pollution discharge data and surrounding environment data by adopting a statistical method; all models provide corresponding data services for the client side where the user is located.
2. The big-data based industrial park environment-friendly service platform according to claim 1, wherein: the data server cluster calculates annual average sewage discharge of each enterprise, and whether the sewage discharge of the enterprise is reduced or not is judged by comparing the average sewage discharge of a plurality of recent years.
3. The big-data based industrial park environment-friendly service platform according to claim 2, wherein: the annual average sewage discharge of an enterprise = annual total sewage discharge of the enterprise/annual product total of the enterprise.
4. The big-data based industrial park environment-friendly service platform according to claim 1, wherein: and the data server cluster calculates the annual average sewage discharge of the industrial park, and judges whether the sewage discharge of the industrial park is reduced or not by comparing the average sewage discharge of a plurality of recent years.
5. The big-data based industrial park environment-friendly service platform according to claim 4, wherein: the annual average sewage discharge amount of the industrial park = annual total sewage discharge amount of the industrial park/annual product amount of the industrial park.
6. The big-data based industrial park environment-friendly service platform according to claim 1, wherein: the authoritative environment statistical database comprises a pollution source database, an environment quality database, an environment management database, an environment government affair database, an environment-friendly industry operation database and a geographic information system database.
7. The big-data based industrial park environment-friendly service platform according to claim 1, wherein: and when the data server cluster collects the relevant environment data, the data format of the relevant environment data is unified.
8. The big-data based industrial park environment-friendly service platform according to claim 1, wherein: and converting all data into a readable chart at the client for displaying.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101931648A (en) * | 2010-08-13 | 2010-12-29 | 中国环境科学研究院 | Chemical industrial park environment risk source monitoring platform |
CN104601657A (en) * | 2014-12-12 | 2015-05-06 | 北京拓扑智鑫科技有限公司 | Park green ecological index online publishing system and implementation method thereof |
CN105608629A (en) * | 2015-12-24 | 2016-05-25 | 杨德太 | Ecological organic fertilizer industrial park |
CN107450427A (en) * | 2017-08-04 | 2017-12-08 | 南通汇聚软件科技有限公司 | The O&M dynamic management-control method of pollution sources online monitoring system and its detection device |
Family Cites Families (1)
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US10437635B2 (en) * | 2016-02-10 | 2019-10-08 | Salesforce.Com, Inc. | Throttling events in entity lifecycle management |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101931648A (en) * | 2010-08-13 | 2010-12-29 | 中国环境科学研究院 | Chemical industrial park environment risk source monitoring platform |
CN104601657A (en) * | 2014-12-12 | 2015-05-06 | 北京拓扑智鑫科技有限公司 | Park green ecological index online publishing system and implementation method thereof |
CN105608629A (en) * | 2015-12-24 | 2016-05-25 | 杨德太 | Ecological organic fertilizer industrial park |
CN107450427A (en) * | 2017-08-04 | 2017-12-08 | 南通汇聚软件科技有限公司 | The O&M dynamic management-control method of pollution sources online monitoring system and its detection device |
Non-Patent Citations (1)
Title |
---|
《中国环保产业园区发展模式研究》;裴莹莹等;《环境与可持续发展》;20150630;47-50 * |
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