CN115310813A - Environment-friendly treatment method and system for thermoelectric industry - Google Patents

Environment-friendly treatment method and system for thermoelectric industry Download PDF

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CN115310813A
CN115310813A CN202210946539.0A CN202210946539A CN115310813A CN 115310813 A CN115310813 A CN 115310813A CN 202210946539 A CN202210946539 A CN 202210946539A CN 115310813 A CN115310813 A CN 115310813A
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waste gas
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鲁凯笛
牟永春
叶婷
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Chuzhou Chuneng Thermal Power Co ltd
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Abstract

The application discloses a method and a system for environmental protection treatment in the thermoelectric industry, which belong to the technical field of environmental protection, and the method comprises the following steps: acquiring environment-friendly processing data of a target enterprise in real time through a data acquisition device to obtain environment-friendly processing information; acquiring an environmental protection emission standard of a region where a target enterprise is located; matching waste gas treatment information, solid waste treatment information and wastewater treatment information according to an environment-friendly emission standard to respectively obtain a waste gas matching result, a solid waste matching result and a wastewater matching result; obtaining a key index; inputting the key indexes into a parameter adjustment model to obtain adjustment parameter information; and optimizing and adjusting the treatment scheme of the target enterprise according to the adjustment parameter information. The problem of exist among the prior art the process data processing intelligent degree of environmental protection improvement low, the treatment quality is low is solved. The intelligent degree of data processing in environmental management is improved, the management capability is optimized, and the technical effects of improving the management quality are achieved.

Description

Environment-friendly treatment method and system for thermoelectric industry
Technical Field
The application relates to the technical field of environmental protection, in particular to a method and a system for environmental protection treatment in the thermoelectric industry.
Background
At present, the environmental protection treatment of thermoelectric enterprises is mainly realized by optimizing and upgrading the existing production line and reducing the generation of pollutants by adopting a clean and efficient technology. Meanwhile, the treatment effect of pollutants is improved by updating the environmental protection equipment. Through carefully combing the problems of the thermoelectric environmental protection facilities, a technical transformation scheme is formulated to improve the environmental protection management capability of enterprises.
However, in the process of environmental protection treatment, the number of treatment objects involved is large, the number of data generated in the process of pollution treatment is large, and the feedback adjustment of the treatment scheme cannot be performed in time according to the real-time treatment condition, so that the result that the emission index does not reach the standard is caused. The technical problems of low intelligent degree of data processing and low treatment quality in the process of environmental protection treatment in the prior art exist.
Disclosure of Invention
The application aims to provide a method and a system for environmental protection treatment in the thermoelectric industry, which are used for solving the technical problems of low intelligent degree of data processing and low treatment quality in the process of environmental protection treatment in the prior art.
In view of the above problems, the present application provides a method and system for environmental abatement in the thermoelectric industry.
In a first aspect, the present application provides a method of environmental remediation of the thermoelectric industry, wherein the method comprises: acquiring environment-friendly processing data of a target enterprise in real time through a data acquisition device to obtain environment-friendly processing information; extracting waste gas treatment information, solid waste treatment information and wastewater treatment information according to the environment-friendly treatment information; acquiring an environmental protection emission standard of the area where the target enterprise is located; matching the waste gas treatment information, the solid waste treatment information and the wastewater treatment information according to the environment-friendly discharge standard to respectively obtain a waste gas matching result, a solid waste matching result and a wastewater matching result; analyzing the waste gas matching result, the solid waste matching result and the waste water matching result to obtain key indexes; inputting the key indexes into a parameter adjustment model to obtain adjustment parameter information; and optimizing and adjusting the treatment scheme of the target enterprise according to the adjustment parameter information.
In another aspect, the present application also provides a system for environmental remediation of the thermoelectric industry, wherein the system comprises: the processing information acquisition module is used for acquiring the environment-friendly processing data of the target enterprise in real time through the data acquisition device to obtain environment-friendly processing information; the information extraction module is used for extracting waste gas treatment information, solid waste treatment information and wastewater treatment information according to the environment-friendly treatment information; the emission standard obtaining module is used for obtaining the environmental protection emission standard of the area where the target enterprise is located; a matching result obtaining module, configured to match the waste gas treatment information, the solid waste treatment information, and the wastewater treatment information according to the environmental emission standard, and obtain a waste gas matching result, a solid waste matching result, and a wastewater matching result, respectively; a key index obtaining module for analyzing the waste gas matching result, the solid waste matching result and the waste water matching result to obtain a key index; the adjustment information obtaining module is used for inputting the key indexes into a parameter adjustment model to obtain adjustment parameter information; and the optimization adjusting module is used for optimizing and adjusting the treatment scheme of the target enterprise according to the adjusting parameter information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method and the device collect the environmental protection processing data of the target enterprise in real time to obtain environmental protection processing information; extracting waste gas treatment information, solid waste treatment information and wastewater treatment information according to the environmental protection treatment information to obtain specific information for treating each pollutant; further acquiring the environmental protection emission standard of the area where the target enterprise is located; matching waste gas treatment information, solid waste treatment information and waste water treatment information according to an environment-friendly discharge standard, and respectively obtaining a waste gas matching result, a solid waste matching result and a waste water matching result to obtain whether the environment-friendly treatment of the target enterprise meets the discharge standard; further analyzing the waste gas matching result, the solid waste matching result and the waste water matching result to obtain key indexes; inputting the key indexes into a parameter adjustment model to obtain adjustment parameter information; and optimizing and adjusting the treatment scheme of the target enterprise according to the adjustment parameter information. Therefore, the technical effects of performing high-quality processing on the data generated in the environmental protection treatment process and improving the environmental protection treatment quality are achieved.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without inventive effort.
FIG. 1 is a schematic flow diagram of a method for environmental abatement in the thermoelectric industry according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for environmental abatement in the thermoelectric industry according to an embodiment of the present disclosure to obtain a set of highly relevant parameters of exhaust gas;
FIG. 3 is a schematic flow chart of key indexes obtained in a method for environmental protection governance in the thermoelectric industry according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a system for environmental abatement of the thermoelectric industry according to the present application;
description of reference numerals: the system comprises a processing information obtaining module 11, an information extracting module 12, an emission standard obtaining module 13, a matching result obtaining module 14, a key index obtaining module 15, an adjustment information obtaining module 16 and an optimization adjusting module 17.
Detailed Description
The application provides the method and the system for environmental protection treatment in the thermoelectric industry, and solves the technical problems that in the prior art, the intelligent degree of data processing in the process of environmental protection treatment is low, and the treatment quality is low. The intelligent degree of data processing in environmental management is improved, the management capability is optimized, and the technical effects of improving the management quality are achieved.
According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
In the following, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it is to be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Example one
As shown in fig. 1, the present application provides a method of environmental remediation of the thermoelectric industry, wherein the method comprises:
step S100: acquiring environment-friendly processing data of a target enterprise in real time through a data acquisition device to obtain environment-friendly processing information;
specifically, the data collection device is a device that collects the processing data by connecting to each processing system of the target enterprise. The target enterprise is any enterprise that performs thermoelectric production. The environmental protection processing information is data information generated when the target enterprise carries out environmental protection processing, and comprises processed pollutant types, pollutant parameters, processing methods of pollutants, pollution indexes after processing and the like. By collecting the environmental protection processing data in real time, the real-time data of the target enterprise in pollution treatment can be obtained, and accurate basic data are provided for subsequent environmental protection treatment analysis.
Step S200: extracting waste gas treatment information, solid waste treatment information and wastewater treatment information according to the environment-friendly treatment information;
specifically, the exhaust gas treatment information refers to information that the target enterprise treats the exhaust gas generated in the thermoelectric production process, and optionally includes: the type of the generated waste gas (such as sulfur dioxide, nitrogen oxides, smoke dust and the like), the treatment process of the waste gas, the index of the discharged waste gas and the like. The solid waste treatment information refers to information generated when the target enterprise treats solid pollutants such as fly ash and slag in the thermoelectric production process, and optionally includes: discharge mode, discharge index, treatment process and the like. The wastewater treatment information refers to information generated by the target enterprise in treating the discharged wastewater in the thermoelectric production process, and optionally includes: wastewater quality information, discharged water quality information, wastewater treatment process information, and the like. By extracting the environment-friendly processing information, the aim of classifying and processing the data information is fulfilled, and the technical effects of improving the efficiency and accuracy of data analysis are achieved.
Step S300: acquiring an environmental protection emission standard of the area where the target enterprise is located;
step S400: matching the waste gas treatment information, the solid waste treatment information and the wastewater treatment information according to the environmental protection emission standard to respectively obtain a waste gas matching result, a solid waste matching result and a wastewater matching result;
specifically, the environmental emission standard is an emission standard which is set for enterprise pollutant emission of the region in order to optimize ecological environment in different regions, and comprises the types of dischargeable pollutants, emission concentration and the like. By acquiring the environmental protection emission standard, a reference emission standard can be provided for the environmental protection treatment of enterprises, and the environmental protection treatment is carried out within the range meeting the emission standard, so that the treatment quality is improved.
Specifically, the environmental protection emission standard comprises an atmospheric pollutant emission standard, a solid pollutant emission standard, a sewage comprehensive emission standard and the like. And correspondingly matching the emission indexes and the corresponding emission values in the environment-friendly emission standard aiming at the treatment information of the target enterprise on the waste gas, the solid waste and the waste water by matching the waste gas treatment information, the solid waste treatment information and the waste water treatment information with the environment-friendly emission standard to obtain the waste gas matching result, the solid waste matching result and the waste water matching result. The waste gas matching result reflects the index difference condition of the waste gas emission of an enterprise compared with the standard, the solid waste matching result reflects the index difference condition of the solid waste emission of the enterprise compared with the standard, and the waste water matching result reflects the index difference condition of the waste water emission of the enterprise compared with the standard. Therefore, the method achieves the goal of quantitatively matching the results of the environmental protection treatment of enterprises, achieves the technical effects of quantitatively evaluating the environmental protection treatment and improving the accuracy of evaluation.
Step S500: analyzing the waste gas matching result, the solid waste matching result and the waste water matching result to obtain key indexes;
further, as shown in fig. 2, the analyzing the waste gas matching result, the solid waste matching result, and the waste water matching result, in step S500 of the embodiment of the present application, further includes:
step S510: screening index deviation parameters according to the waste gas matching result to obtain a waste gas deviation parameter set;
step S520: calculating the correlation among all the waste gas deviation parameters based on the waste gas deviation parameter set to obtain a correlation coefficient set;
step S530: screening the correlation coefficient set according to a preset correlation coefficient threshold value to obtain a highly correlated set;
step S540: and reversely matching the waste gas deviation parameter set according to the highly correlated set to obtain a waste gas highly correlated parameter set.
Further, as shown in fig. 3, after obtaining the set of exhaust gas high-correlation parameters, step S540 of this embodiment further includes:
step S541: evaluating the exhaust gas high-correlation parameter set by an expert investigation method to obtain an exhaust gas optimization high-correlation parameter set;
step S542: acquiring a solid waste optimization high-correlation parameter set and a wastewater optimization high-correlation parameter set;
step S543: and obtaining the key index according to the waste gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set and the wastewater optimization high-correlation parameter set.
Specifically, the exhaust gas deviation parameter set is a parameter set corresponding to indexes with deviation, which is obtained by screening according to the exhaust gas matching result and comparing the exhaust gas treatment information with the environmental emission standard one by one. And calculating the correlation of all the exhaust gas deviation parameters in the exhaust gas deviation parameter set in pairs to obtain a plurality of correlation coefficients to form the correlation coefficient set. Wherein the correlation coefficient is a value indicative of a degree of correlation between two exhaust deviation parameters, the greater the correlation coefficient, the greater the degree of correlation.
Specifically, the predetermined correlation coefficient threshold is a preset lowest value of the mutual influence degree of the two exhaust deviation parameters, and when the correlation coefficient exceeds the predetermined correlation coefficient threshold, the two exhaust deviation parameters related to the correlation coefficient are indicated to be highly correlated. And then, collecting all correlation coefficients meeting the preset correlation coefficient threshold value to form the high correlation set, and further collecting the exhaust gas deviation parameters corresponding to the correlation coefficients in the high correlation set according to the corresponding relation between the correlation coefficients and the exhaust gas deviation parameters to obtain the exhaust gas high correlation parameter set.
Specifically, the expert research method is a research method for inquiring opinions and opinions about the knowledge of experts or authorities through a plurality of rounds. And evaluating the exhaust gas high-correlation parameter set by experts in the field, and removing relevant parameters which do not meet the practice, thereby realizing the optimization of the exhaust gas high-correlation parameter set to obtain the exhaust gas optimized high-correlation parameter set. Because a lot of discrete data can be generated in the process of waste gas treatment, if the data are analyzed and optimized one by one, the treatment time can be greatly increased, and the treatment cost is increased. Therefore, the high-correlation parameters are obtained by screening the parameters, and the treatment effect can be greatly improved and the treatment cost can be reduced by grasping the main parameters which are influenced mutually in the treatment process when the treatment optimization is carried out.
Specifically, based on the same method, the solid waste matching result is analyzed to obtain the solid waste optimized high-correlation parameter set, and the wastewater matched result is analyzed to obtain the wastewater optimized high-correlation parameter set. Wherein the solid waste optimization high-correlation parameter set represents key parameters in the solid waste treatment process. The wastewater optimization highly relevant parameter set characterizes key parameters in the wastewater treatment process. And summarizing the waste gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set and the wastewater optimization high-correlation parameter set to obtain the key index. The key indexes are indexes which represent that the treatment effect is more critical in the process of carrying out environmental protection treatment. Therefore, the method achieves the aim of screening the parameters, and achieves the technical effects of improving the treatment efficiency of treatment data and reducing the treatment cost.
Further, the step S543 according to the waste gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set, and the wastewater optimization high-correlation parameter set, obtains the key index, and further includes:
step S5431: according to the importance degree of the waste gas, the solid waste and the waste water in the environmental protection treatment of the target enterprise, carrying out multiple different weight distribution to obtain multiple weight distribution results;
step S5432: according to the multiple weight distribution results, combining the waste gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set and the wastewater optimization high-correlation parameter set to obtain multiple initial key indexes;
step S5433: obtaining a parameter scoring standard, scoring the plurality of initial key indexes, and obtaining a plurality of scoring results;
step S5434: and according to the plurality of scoring results, taking the initial key index corresponding to the highest scoring result as the key index.
Specifically, according to different enterprise services, the importance degree of waste gas, solid waste and waste water in environmental protection treatment is different, multiple weight distribution results can be obtained by performing multiple different weight distributions, multiple condition analysis is performed, and accidental conditions are avoided. And obtaining a plurality of initial key indexes obtained under different weight distribution according to the plurality of weight distribution results. And scoring the parameters in the initial key indexes by obtaining a parameter scoring standard for scoring the parameters of the environmental protection management to obtain a plurality of scoring results representing the quality of the indexes, wherein the higher the scoring result is, the more the corresponding key index can reflect the environmental protection management condition of the target enterprise. Therefore, the initial key index corresponding to the highest scoring result is used as the key index.
Step S600: inputting the key indexes into a parameter adjustment model to obtain adjustment parameter information;
further, the step S600 of inputting the key index into a parameter adjustment model in the embodiment of the present application further includes:
step S610: constructing the parameter adjustment model;
step S620: randomly acquiring a first historical parameter adjustment scheme of the target enterprise in a preset time period based on big data, extracting information of the first historical parameter adjustment scheme, and constructing a training data set;
step S630: training the parameter adjustment model according to the training data set to obtain the parameter adjustment model in a convergence state;
step S640: randomly acquiring a second historical parameter adjustment scheme of the target enterprise in a preset time period based on big data, extracting information of the second historical parameter adjustment, and constructing a test data set;
step S650: and testing the parameter adjustment model in a convergence state according to the test data set to obtain an agility test result.
Further, after obtaining the agility test result, step S650 in this embodiment of the present application further includes:
step S651: obtaining a preset agility interval according to the scale of the target enterprise;
step S652: judging whether the agility test result is in the preset agility interval or not, and obtaining an agility judgment result;
step S653: if the agility judgment result is within the preset agility interval, obtaining the parameter adjustment model;
step S654: and if the agility judgment result is not in the preset agility interval, acquiring more historical adjustment schemes to carry out incremental learning on the parameter adjustment model until the parameter adjustment model meets the requirement.
Specifically, the parameter adjustment model is a functional model for performing parameter adjustment analysis on a treatment process in the environmental protection treatment process of the target enterprise. The predetermined time period is a past time period, and is set by a worker, which is not limited herein. The first historical parameter adjustment scheme is a scheme for adjusting the process parameters of the environmental protection treatment of the target enterprise in the past period of time, and can reflect the environmental protection treatment capability of the enterprise. The information extraction mainly comprises the extraction of relevant treatment processes and corresponding parameter information. And training the parameter adjustment model by taking the parameter adjustment model as training data until the model reaches a convergence state, and finishing the training of the model.
Specifically, the second historical parameter adjustment scheme is a scheme for adjusting the process parameters of the environmental protection management of the target enterprise in the past period of time, and a test data set is obtained after information extraction. And testing the parameter adjustment model in a convergence state through the test data set to obtain an agility test result. The agility test refers to performing high-speed iterative test on the parameter adjustment model according to a certain period through a test data set, mainly testing the output speed and the output accuracy of the model, and obtaining a result which is the agility test result. The method realizes the aim of constructing a functional model and improving the analysis efficiency of environmental protection treatment, and achieves the technical effects of improving the intelligent degree and efficiency of environmental protection treatment.
Specifically, the preset agility interval is an interval in which a preset agility test result meets the requirement, and the corresponding preset agility interval is set according to the size of the scale of the target enterprise, which is not limited herein. And if the agility test result is not within the preset agility interval, performing incremental learning on the parameter adjustment model by acquiring more data and based on the result of past training, thereby greatly increasing the accuracy of the model and improving the utilization rate of the model.
Step S700: and optimizing and adjusting the treatment scheme of the target enterprise according to the adjustment parameter information.
Further, before performing optimization and adjustment on the governance scheme of the target enterprise according to the adjustment parameter information, step S700 in the embodiment of the present application further includes:
step S710: acquiring environment-friendly processing flow information of the target enterprise;
step S720: extracting pollution discharge channel information according to the environment-friendly treatment process information, wherein the pollution discharge channel information comprises a waste gas discharge channel, a solid waste discharge channel and a waste water discharge channel;
step S730: analyzing whether the waste gas discharge channel, the solid waste discharge channel and the waste water discharge channel are overlapped or not to obtain overlapping information;
step S740: and carrying out optimization adjustment on the adjustment parameter information according to the overlapping information.
Specifically, the environmental protection processing flow information is a channel and process information for processing each pollutant in the process of performing environmental protection processing on the target enterprise. Through obtaining exhaust emission channel, solid useless emission channel and waste water discharge channel, judge whether there is the overlap, if there is the overlap, probably there is cross contamination, leads to single pollutant to accord with emission standard after handling, but because there is cross contamination, pollutant surpasss the emission index when leading to final emission. The overlapping information refers to the degree of overlap of the three discharge channels and the specific overlapping path. And optimizing and adjusting the adjustment parameter information according to the overlapping information, thereby achieving the technical effect of improving the treatment quality.
In conclusion, the method for environmental protection governance in the thermoelectric industry has the following technical effects:
the embodiment of the application acquires environmental protection processing data of a target enterprise in real time through the data acquisition device, environment protection processing information for pollutant processing is obtained, then the environment protection processing information is processed in time, waste gas processing information, solid waste processing information and waste water processing information are extracted, then environmental protection emission standards of the region where the target enterprise is located are extracted, whether the processing information of the target enterprise meets local emission standards is judged, and then according to analysis results, namely waste gas matching results, solid waste matching results and waste water matching results, key indexes are obtained, the key indexes are input into a parameter adjustment model, adjustment parameter information is obtained, and optimization adjustment is carried out on the treatment scheme of the target enterprise. Therefore, the intelligent degree of environmental protection treatment is improved, and the technical effects of improving the environmental protection treatment efficiency and improving the treatment quality are achieved.
Example two
Based on the same inventive concept as the method of environmental protection governance of the thermoelectric industry in the previous embodiment, as shown in fig. 4, the present application further provides a system of environmental protection governance of the thermoelectric industry, wherein the system comprises:
the processing information obtaining module 11 is used for acquiring the environmental protection processing data of the target enterprise in real time through the data acquisition device to obtain environmental protection processing information;
the information extraction module 12, the information extraction module 12 is used for extracting waste gas treatment information, solid waste treatment information and wastewater treatment information according to the environmental protection treatment information;
an emission standard obtaining module 13, wherein the emission standard obtaining module 13 is configured to obtain an environmental emission standard of an area where the target enterprise is located;
a matching result obtaining module 14, wherein the matching result obtaining module 14 is configured to match the waste gas treatment information, the solid waste treatment information, and the wastewater treatment information according to the environmental emission standard, and obtain a waste gas matching result, a solid waste matching result, and a wastewater matching result respectively;
a key index obtaining module 15, wherein the key index obtaining module 15 is configured to analyze the waste gas matching result, the solid waste matching result, and the wastewater matching result to obtain a key index;
an adjustment information obtaining module 16, where the adjustment information obtaining module 16 is configured to input the key indicator into a parameter adjustment model to obtain adjustment parameter information;
and the optimization and adjustment module 17 is configured to, according to the adjustment parameter information, optimize and adjust the administration scheme of the target enterprise.
Further, the system further comprises:
a deviation parameter obtaining unit, configured to screen an index deviation parameter according to the exhaust gas matching result to obtain an exhaust gas deviation parameter set;
the correlation calculation unit is used for calculating the correlation among all the exhaust gas deviation parameters based on the exhaust gas deviation parameter set to obtain a correlation coefficient set;
the set screening unit is used for screening the correlation coefficient set according to a preset correlation coefficient threshold value to obtain a highly correlated set;
and the reverse matching unit is used for reversely matching the waste gas deviation parameter set according to the highly correlated set to obtain a waste gas highly correlated parameter set.
Further, the system further comprises:
the high-correlation parameter obtaining unit is used for evaluating the waste gas high-correlation parameter set through an expert investigation method to obtain a waste gas optimization high-correlation parameter set;
a relevant parameter set obtaining unit, which is used for obtaining a solid waste optimization high-relevant parameter set and a wastewater optimization high-relevant parameter set;
and the index obtaining unit is used for obtaining the key index according to the waste gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set and the wastewater optimization high-correlation parameter set.
Further, the system further comprises:
the weight distribution unit is used for carrying out multiple different weight distributions according to the importance degrees of the waste gas, the solid waste and the waste water in the environmental protection treatment of the target enterprise to obtain multiple weight distribution results;
an initial key index obtaining unit, configured to obtain a plurality of initial key indexes according to the multiple weight distribution results by combining the exhaust gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set, and the wastewater optimization high-correlation parameter set;
the scoring unit is used for acquiring a parameter scoring standard, scoring the initial key indexes and acquiring a plurality of scoring results;
and the scoring result analysis unit is used for taking the initial key index corresponding to the highest scoring result as the key index according to the scoring results.
Further, the system further comprises:
a model construction unit for constructing the parameter adjustment model;
the information extraction unit is used for randomly acquiring a first historical parameter adjustment scheme of the target enterprise in a preset time period based on big data, extracting information of the first historical parameter adjustment scheme and constructing a training data set;
the model training unit is used for training the parameter adjustment model according to the training data set to obtain the parameter adjustment model in a convergence state;
the test data set obtaining unit is used for randomly obtaining a second historical parameter adjustment scheme of the target enterprise in a preset time period based on big data, extracting information of the second historical parameter adjustment and constructing a test data set;
and the agility testing unit is used for testing the parameter adjustment model in a convergence state according to the test data set to obtain an agility test result.
Further, the system further comprises:
the agility interval obtaining unit is used for obtaining a preset agility interval according to the scale of the target enterprise;
the agility judging unit is used for judging whether the agility test result is in the preset agility interval or not to obtain an agility judging result;
a result judging unit, configured to obtain the parameter adjustment model if the agility judgment result is within the preset agility interval;
and the agility result judging unit is used for acquiring more historical adjustment schemes to carry out incremental learning on the parameter adjustment model if the agility judgment result is not in the preset agility interval until the parameter adjustment model meets the requirement.
Further, the system further comprises:
the process obtaining unit is used for obtaining the environment-friendly processing process information of the target enterprise;
the device comprises a discharge channel obtaining unit, a data processing unit and a data processing unit, wherein the discharge channel obtaining unit is used for extracting pollution discharge channel information according to the environment-friendly processing flow information, and the pollution discharge channel information comprises an exhaust gas discharge channel, a solid waste discharge channel and a wastewater discharge channel;
the overlapping information acquisition unit is used for analyzing whether the waste gas discharge channel, the solid waste discharge channel and the waste water discharge channel are overlapped or not to acquire overlapping information;
and the overlapping optimization adjusting unit is used for carrying out optimization adjustment on the adjustment parameter information according to the overlapping information.
The embodiments in the present description are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, the method and specific example for environmental protection governance in the thermoelectric industry in the first embodiment in fig. 1 are also applicable to the system for environmental protection governance in the thermoelectric industry in this embodiment, and through the foregoing detailed description of the method for environmental protection governance in the thermoelectric industry, a person skilled in the art can clearly know the system for environmental protection governance in the thermoelectric industry in this embodiment, so for the brevity of the description, detailed description is not repeated here. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. A method of environmental remediation of the thermoelectric industry, the method comprising:
acquiring environment-friendly processing data of a target enterprise in real time through a data acquisition device to obtain environment-friendly processing information;
extracting waste gas treatment information, solid waste treatment information and wastewater treatment information according to the environment-friendly treatment information;
acquiring an environmental protection emission standard of the area where the target enterprise is located;
matching the waste gas treatment information, the solid waste treatment information and the wastewater treatment information according to the environmental protection emission standard to respectively obtain a waste gas matching result, a solid waste matching result and a wastewater matching result;
analyzing the waste gas matching result, the solid waste matching result and the waste water matching result to obtain key indexes;
inputting the key indexes into a parameter adjustment model to obtain adjustment parameter information;
and optimizing and adjusting the treatment scheme of the target enterprise according to the adjustment parameter information.
2. The method of claim 1, wherein the analyzing the waste gas match results, the solid waste match results, and the waste water match results, the method further comprising:
screening index deviation parameters according to the waste gas matching result to obtain a waste gas deviation parameter set;
calculating the correlation among all the waste gas deviation parameters based on the waste gas deviation parameter set to obtain a correlation coefficient set;
screening the correlation coefficient set according to a preset correlation coefficient threshold value to obtain a highly correlated set;
and reversely matching the waste gas deviation parameter set according to the highly correlated set to obtain a waste gas highly correlated parameter set.
3. The method of claim 2, wherein after obtaining the set of exhaust gas high correlation parameters, the method further comprises:
evaluating the exhaust gas high-correlation parameter set by an expert investigation method to obtain an exhaust gas optimization high-correlation parameter set;
acquiring a solid waste optimization high-correlation parameter set and a wastewater optimization high-correlation parameter set;
and obtaining the key index according to the waste gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set and the wastewater optimization high-correlation parameter set.
4. The method of claim 3, wherein the key indicators are derived from the exhaust gas optimized high correlation parameter set, the solid waste optimized high correlation parameter set, and the wastewater optimized high correlation parameter set, the method further comprising:
according to the importance degree of the waste gas, the solid waste and the waste water in the environmental protection treatment of the target enterprise, carrying out multiple different weight distribution to obtain multiple weight distribution results;
according to the multiple weight distribution results, combining the waste gas optimization high-correlation parameter set, the solid waste optimization high-correlation parameter set and the wastewater optimization high-correlation parameter set to obtain multiple initial key indexes;
obtaining a parameter scoring standard, scoring the plurality of initial key indexes, and obtaining a plurality of scoring results;
and according to the plurality of scoring results, taking the initial key index corresponding to the highest scoring result as the key index.
5. The method of claim 1, wherein the key indicator is input into a parameter tuning model, the method further comprising:
constructing the parameter adjustment model;
randomly acquiring a first historical parameter adjustment scheme of the target enterprise in a preset time period based on big data, extracting information of the first historical parameter adjustment scheme, and constructing a training data set;
training the parameter adjustment model according to the training data set to obtain the parameter adjustment model in a convergence state;
randomly acquiring a second historical parameter adjustment scheme of the target enterprise in a preset time period based on big data, extracting information of the second historical parameter adjustment, and constructing a test data set;
and testing the parameter adjustment model in a convergence state according to the test data set to obtain an agility test result.
6. The method of claim 5, after obtaining the agility test result, the method further comprising:
obtaining a preset agility interval according to the scale of the target enterprise;
judging whether the agility test result is in the preset agility interval or not, and obtaining an agility judgment result;
if the agility judgment result is in the preset agility interval, obtaining the parameter adjustment model;
and if the agility judgment result is not in the preset agility interval, acquiring more historical adjustment schemes to carry out incremental learning on the parameter adjustment model until the parameter adjustment model meets the requirement.
7. The method of claim 1, wherein before performing the optimal adjustment of the abatement scheme of the target enterprise based on the adjustment parameter information, the method further comprises:
acquiring environment-friendly processing flow information of the target enterprise;
extracting pollution discharge channel information according to the environment-friendly treatment process information, wherein the pollution discharge channel information comprises a waste gas discharge channel, a solid waste discharge channel and a waste water discharge channel;
analyzing whether the waste gas discharge channel, the solid waste discharge channel and the waste water discharge channel are overlapped or not to obtain overlapped information;
and carrying out optimization adjustment on the adjustment parameter information according to the overlapping information.
8. A system for environmental remediation of the thermoelectric industry, the system comprising:
the processing information acquisition module is used for acquiring the environment-friendly processing data of the target enterprise in real time through the data acquisition device to obtain environment-friendly processing information;
the information extraction module is used for extracting waste gas treatment information, solid waste treatment information and wastewater treatment information according to the environment-friendly treatment information;
the emission standard obtaining module is used for obtaining the environmental protection emission standard of the area where the target enterprise is located;
a matching result obtaining module, configured to match the waste gas treatment information, the solid waste treatment information, and the wastewater treatment information according to the environmental emission standard, and obtain a waste gas matching result, a solid waste matching result, and a wastewater matching result, respectively;
a key index obtaining module for analyzing the waste gas matching result, the solid waste matching result and the waste water matching result to obtain a key index;
the adjustment information obtaining module is used for inputting the key indexes into a parameter adjustment model to obtain adjustment parameter information;
and the optimization adjusting module is used for optimizing and adjusting the treatment scheme of the target enterprise according to the adjusting parameter information.
CN202210946539.0A 2022-08-08 2022-08-08 Environment-friendly treatment method and system for thermoelectric industry Withdrawn CN115310813A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116859845A (en) * 2023-07-07 2023-10-10 滁州滁能热电有限公司 Thermoelectric environment-friendly production node management method and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116859845A (en) * 2023-07-07 2023-10-10 滁州滁能热电有限公司 Thermoelectric environment-friendly production node management method and system

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