CN112990663A - Intelligent pollution treatment system for enterprise - Google Patents
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Abstract
The invention provides an enterprise intelligent pollution treatment system, which comprises: the pollution control system comprises an enterprise data acquisition unit, a classification unit, a storage unit, a database unit, a pollution control unit and a central processing unit, wherein the data acquisition unit acquires social enterprise data, the data acquisition unit is connected with the central processing unit, the central processing unit is respectively connected with the classification unit, the storage unit, the database unit and the pollution control unit, and the central processing unit is connected with a background monitoring terminal through a data transmission unit.
Description
Technical Field
The invention relates to an intelligent pollution treatment system for enterprises.
Background
Social enterprises aim to solve social problems and improve public welfare, rather than enterprises seeking to maximize profits per se. The investors have ownership of enterprises, the enterprises adopt a business mode to operate and acquire resources, the investors do not participate in dividend after recovering the investment, and the surplus investors invest in enterprise or community development.
At present, pollution is easy to occur in the operation process of social enterprises, so the pollution needs to be treated, and the existing treatment system has low intelligent degree and poor treatment effect.
Disclosure of Invention
The invention aims to provide an intelligent pollution treatment system for an enterprise.
In order to solve the above problems, the present invention provides an enterprise intelligent pollution treatment system, comprising: an enterprise data acquisition unit, a classification unit, a storage unit, a database unit, a pollution treatment unit and a central processing unit, wherein,
the data acquisition unit is used for acquiring social enterprise data and is connected with the central processing unit;
the central processing unit is respectively connected with the classification unit, the storage unit, the database unit and the pollution treatment unit, and is connected with the background monitoring terminal through the data transmission unit.
Further, in the system, the classification unit is configured to obtain historical concentration data of the pollutants of each enterprise, and calculate a concentration characteristic of each hotspot grid changing with time; determining the pollution type of each hot spot grid according to field monitoring; establishing a mathematical model, and training by using the concentration characteristics of each hot spot grid along with the change of time and the corresponding pollution type; and acquiring pollutant concentration data of each hot spot grid monitored in real time, calculating concentration characteristics changing along with time, and inputting the trained mathematical model to obtain the pollution type of the social enterprise.
Further, in the above system, the pollution abatement unit comprises: the device comprises a data analysis module and a performance evaluation module.
Further, in the system, the data analysis module is configured to extract feature information corresponding to the pollution data by using a multi-modal data mining method for the pollution data of the enterprise and combining with a neural network method.
Further, in the system, the performance evaluation module is configured to derive a dynamic evolution rule of an individual combining the characteristic information and the performance evaluation module according to the characteristic information; and obtaining the performance evaluation index of the real-time data by combining the dynamic evolution rule of the individual.
Further, in the system, the enterprise data acquisition unit is used for acquiring social enterprise data and classifying the enterprise pollution types by using the classification unit;
further, in the system, the database unit is used for storing each index parameter of each enterprise in advance, and the classified social enterprise data is transmitted to the database unit to be compared with the preset index parameters; if the pollution indexes of the social enterprises are abnormal, triggering a pollution treatment unit;
further, in the system, the pollution treatment unit is used for extracting characteristic information corresponding to the pollution data by adopting a multi-mode data mining method and combining a neural network method for the pollution data of the enterprise, and performing comprehensive treatment on the polluted enterprise.
Compared with the prior art, the system comprises an enterprise data acquisition unit, a classification unit, a storage unit, a database unit, a pollution treatment unit and a central processing unit, wherein the data acquisition unit acquires social enterprise data, the data acquisition unit is connected with the central processing unit, the central processing unit is respectively connected with the classification unit, the storage unit, the database unit and the pollution treatment unit, and the central processing unit is connected with a background monitoring terminal through a data transmission unit. The invention has simple working principle, can monitor the pollution condition of social enterprises in real time, provides decision basis and technical support for the pollution treatment of the enterprises, and improves the treatment efficiency and treatment quality. Meanwhile, the dynamic evolution law of the multi-modal big data and the polluted individuals is given, so that the characteristic information of the pollution is extracted and the treatment measures are found.
Drawings
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a flow chart of the present invention.
In the figure: the system comprises an enterprise data acquisition unit 1, a classification unit 2, a storage unit 3, a database unit 4, a pollution treatment unit 5, a central processing unit 6, a data transmission unit 7, a background monitoring terminal 8, a data analysis module 9 and a performance evaluation module 10.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1 to 2, the present invention provides an intelligent pollution treatment system for an enterprise, comprising: an enterprise data acquisition unit 1, a classification unit 2, a storage unit 3, a database unit 4, a pollution treatment unit 5 and a central processing unit 6, wherein,
the data acquisition unit 1 is used for acquiring social enterprise data, and the data acquisition unit 1 is connected with the central processing unit 6;
the central processing unit 6 is respectively connected with the classification unit 2, the storage unit 3, the database unit 4 and the pollution treatment unit 5, and the central processing unit 6 is connected with the background monitoring terminal 8 through the data transmission unit 7.
In an embodiment of the intelligent pollution treatment system for enterprises, the classification unit is used for obtaining historical concentration data of pollutants of each enterprise and calculating concentration characteristics of each hot spot grid along with time change; determining the pollution type of each hot spot grid according to field monitoring; establishing a mathematical model, and training by using the concentration characteristics of each hot spot grid along with the change of time and the corresponding pollution type; and acquiring pollutant concentration data of each hot spot grid monitored in real time, calculating concentration characteristics changing along with time, and inputting the trained mathematical model to obtain the pollution type of the social enterprise.
In an embodiment of the intelligent pollution treatment system for enterprises of the present invention, the pollution treatment unit 5 includes: a data analysis module 9 and a performance evaluation module 10.
In an embodiment of the intelligent pollution treatment system for the enterprise, the data analysis module is configured to extract feature information corresponding to the pollution data by using a multi-modal data mining method for the pollution data of the enterprise and combining a neural network method.
In an embodiment of the enterprise intelligent pollution treatment system, the performance evaluation module is used for deducing a dynamic evolution rule of an individual combining the characteristic information and the characteristic information; and obtaining the performance evaluation index of the real-time data by combining the dynamic evolution rule of the individual.
In one embodiment of the enterprise intelligent pollution treatment system, the enterprise data acquisition unit is used for acquiring social enterprise data and classifying the enterprise pollution types by using the classification unit;
the database unit is used for pre-storing various index parameters of each enterprise, and the classified social enterprise data is transmitted to the database unit and compared with the preset index parameters; if the pollution indexes of the social enterprises are abnormal, triggering a pollution treatment unit;
and the pollution treatment unit is used for extracting characteristic information corresponding to the pollution data by adopting a multi-mode data mining method and combining a neural network method to the pollution data of the enterprises, and comprehensively treating the pollution enterprises.
In conclusion, the invention has simple working principle, can monitor the pollution condition of social enterprises in real time, provides decision basis and technical support for the pollution treatment of the enterprises, and improves the treatment efficiency and treatment quality. Meanwhile, the dynamic evolution law of the multi-modal big data and the polluted individuals is given, so that the characteristic information of the pollution is extracted and the treatment measures are found.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. An intelligent pollution abatement system for an enterprise, comprising: an enterprise data acquisition unit, a classification unit, a storage unit, a database unit, a pollution treatment unit and a central processing unit, wherein,
the data acquisition unit is used for acquiring social enterprise data and is connected with the central processing unit;
the central processing unit is respectively connected with the classification unit, the storage unit, the database unit and the pollution treatment unit, and is connected with the background monitoring terminal through the data transmission unit.
2. The intelligent enterprise pollution treatment system of claim 1, wherein the classification unit is configured to obtain historical concentration data of pollutants of each enterprise, and calculate concentration characteristics of each hotspot grid over time; determining the pollution type of each hot spot grid according to field monitoring; establishing a mathematical model, and training by using the concentration characteristics of each hot spot grid along with the change of time and the corresponding pollution type; and acquiring pollutant concentration data of each hot spot grid monitored in real time, calculating concentration characteristics changing along with time, and inputting the trained mathematical model to obtain the pollution type of the social enterprise.
3. The enterprise intelligent pollution abatement system of claim 1, wherein the pollution abatement unit comprises: the device comprises a data analysis module and a performance evaluation module.
4. The intelligent enterprise pollution abatement system of claim 3, wherein the data analysis module is configured to extract feature information corresponding to the pollution data by using a multi-modal data mining method for the pollution data of the enterprise and combining with a neural network method.
5. The intelligent enterprise pollution abatement system of claim 3, wherein the performance evaluation module is configured to derive a dynamic evolution law of the combined individual according to the characteristic information; and obtaining the performance evaluation index of the real-time data by combining the dynamic evolution rule of the individual.
6. The intelligent enterprise pollution abatement system of claim 1, wherein the enterprise data collection unit is configured to collect social enterprise data and classify the type of enterprise pollution using the classification unit.
7. The intelligent pollution treatment system of enterprises of claim 7, wherein the database unit is used for storing index parameters of each enterprise in advance, and the classified social enterprise data is transmitted to the database unit to be compared with the preset index parameters; and if the pollution indexes of the social enterprises are abnormal, triggering a pollution treatment unit.
8. The intelligent enterprise pollution treatment system of claim 8, wherein the pollution treatment unit is configured to extract feature information corresponding to the pollution data by using a multi-modal data mining method for the pollution data of the enterprise and combining with a neural network method, so as to perform comprehensive treatment on the polluted enterprise.
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| CN111399466A (en) * | 2020-04-15 | 2020-07-10 | 江苏安科瑞电器制造有限公司 | Environmental management process monitoring system and monitoring method thereof |
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- 2021-02-07 CN CN202110170306.1A patent/CN112990663A/en active Pending
Patent Citations (6)
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| CN107368894A (en) * | 2017-07-28 | 2017-11-21 | 国网河南省电力公司电力科学研究院 | The prevention and control of air pollution electricity consumption data analysis platform shared based on big data |
| CN109919201A (en) * | 2019-02-14 | 2019-06-21 | 北京市环境保护监测中心 | A kind of pollution type analysis method based on more concentration datas |
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