CN115358631B - Method and system for directionally treating waste gas based on harmful substance detection - Google Patents
Method and system for directionally treating waste gas based on harmful substance detection Download PDFInfo
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Abstract
The invention discloses a method and a system for directionally treating waste gas based on harmful substance detection, which relate to the technical field of computer application, and the method comprises the following steps: detecting a region to be detected to obtain the type and concentration of harmful substances; matching the set of exhaust treatment schemes; acquiring a screening evaluation index of a treatment scheme; traversing the processing scheme to screen the evaluation index to generate a screening index characteristic value set; obtaining an index weight distribution result of the screening evaluation index of the processing scheme according to the screening index characteristic value set; traversing the waste gas treatment scheme set to obtain a treatment scheme screening score set; screening to obtain a selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to a worker for directional waste gas treatment. The method solves the problem that the prior art cannot formulate a treatment scheme based on the types and the concentrations of harmful substances in the waste gas, so that the technical economy of waste gas treatment is low. The method achieves the effects of improving the reliability of the optimization decision of the selected exhaust gas treatment scheme and improving the scientificity and reliability of the exhaust gas treatment.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a method and a system for directionally treating waste gas based on harmful substance detection.
Background
Along with the acceleration of industrialization progress, a certain industrial waste gas can be discharged by a plurality of enterprises in the actual production process. If the emission of waste gas is not controlled, environmental problems such as acid rain, photochemical smog and the like can be caused, especially volatile organic compounds in the waste gas can cause atmospheric pollution and destroy ecological environment, and benzene, alcohols, aldehyde ketone, olefins and derivatives thereof contained in the waste gas have obvious influence on local air quality after photochemical reaction with other harmful gases, and even seriously harm the respiratory system, circulatory system, endocrine system and nervous system of human bodies. The existing waste gas treatment methods comprise chemical treatment methods such as catalytic oxidation, plasma decomposition and the like, biological treatment methods such as biological filter, biological washing and the like, and physical treatment methods such as adsorption methods, membrane separation and the like. However, when the waste gas is treated, a personalized waste gas treatment scheme cannot be formulated in a targeted manner based on the type and the concentration of harmful substances in the waste gas, so that the waste gas cannot be treated with high efficiency, high accuracy and high quality, and even high cost is spent, and the target treatment effect cannot be achieved. Therefore, the research is based on the actual condition of the waste gas, and the intelligent generation of the scheme with the optimal waste gas treatment decision has important significance.
However, in the prior art, when the exhaust gas is treated, a treatment scheme cannot be specifically formulated based on the type and the concentration of harmful substances in the exhaust gas, so that the technical economy of the exhaust gas treatment is low, and even the technical problem that the target treatment effect cannot be achieved at high cost exists.
Disclosure of Invention
The invention aims to provide a method and a system for directionally treating waste gas based on harmful substance detection, which are used for solving the technical problems that in the prior art, when waste gas is treated, a treatment scheme cannot be formulated according to the type and the concentration of harmful substances in the waste gas, so that the technical economy of waste gas treatment is low, and even the high cost is spent, the target treatment effect cannot be achieved.
In view of the above problems, the present invention provides a method and a system for directional treatment of exhaust gas based on detection of harmful substances.
In a first aspect, the present invention provides a method for directional treatment of exhaust gas based on detection of harmful substances, the method being implemented by an exhaust gas directional treatment system based on detection of harmful substances, wherein the method comprises: obtaining information of waste gas harmful substances by detecting waste gas in a region to be detected, wherein the information of the waste gas harmful substances comprises types of the harmful substances and concentrations of the harmful substances; matching an exhaust gas treatment scheme set according to the type of the harmful substances; acquiring a screening evaluation index of a treatment scheme; traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values, and generating a screening index characteristic value set; performing weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain index weight distribution results; traversing the waste gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set; and screening the waste gas treatment schemes according to the treatment scheme screening score sets, obtaining a selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to staff for directional waste gas treatment.
In a second aspect, the present invention also provides an exhaust gas directional treatment system based on detection of harmful substances, for performing an exhaust gas directional treatment method based on detection of harmful substances according to the first aspect, wherein the system comprises: the detection analysis module is used for detecting waste gas in a region to be detected and acquiring waste gas harmful substance information, wherein the waste gas harmful substance information comprises harmful substance types and harmful substance concentrations; the matching obtaining module is used for matching the exhaust gas treatment scheme set according to the type of the harmful substances; the intelligent acquisition module is used for acquiring the screening evaluation index of the processing scheme; the evaluation generation module is used for traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values and generating a screening index characteristic value set; the weight determining module is used for carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain index weight distribution results; the analysis and calculation module is used for traversing the exhaust gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set; and the selected execution module is used for screening the waste gas treatment schemes according to the treatment scheme screening score sets, obtaining the selected waste gas treatment schemes and sending the selected waste gas treatment schemes to staff for directional treatment of waste gas.
One or more technical schemes provided by the invention have at least the following technical effects or advantages:
obtaining information of waste gas harmful substances by detecting waste gas in a region to be detected, wherein the information of the waste gas harmful substances comprises types of the harmful substances and concentrations of the harmful substances; matching an exhaust gas treatment scheme set according to the type of the harmful substances; acquiring a screening evaluation index of a treatment scheme; traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values, and generating a screening index characteristic value set; performing weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain index weight distribution results; traversing the waste gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set; and screening the waste gas treatment schemes according to the treatment scheme screening score sets, obtaining a selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to staff for directional waste gas treatment. The type and concentration data of harmful substances in the target waste gas are obtained through detection and analysis, and the aim of providing visual and accurate waste gas data for the subsequent targeted formulation of a corresponding treatment scheme based on the actual condition of the waste gas is achieved. And further, the treatment scheme screening evaluation index is obtained through analysis, an evaluation index basis is provided for subsequent traversal of the exhaust gas treatment scheme, further, scientific, comprehensive and objective evaluation of each exhaust gas treatment scheme, and a basis is further provided for the accuracy of the screening score of the subsequent treatment scheme. In addition, the screening index characteristic value is obtained in a qualitative and quantitative combined mode, and the technical effects of comprehensively improving the reliability and the accuracy of the screening index characteristic value are achieved. And finally, comparing the screening scores of the waste gas treatment schemes to determine the optimal waste gas treatment scheme to treat target waste gas, thereby achieving the technical effects of improving the credibility of the optimal decision of the selected waste gas treatment scheme and further improving the scientificity and reliability of waste gas treatment.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for directional treatment of exhaust gas based on detection of harmful substances according to the present invention;
FIG. 2 is a schematic flow chart of a method for obtaining screening evaluation indexes of a treatment scheme in a method for directional treatment of exhaust gas based on detection of harmful substances;
FIG. 3 is a schematic flow chart of a method for generating a screening index feature value set in a method for directional treatment of exhaust gas based on harmful substance detection according to the present invention;
FIG. 4 is a flow chart of a method for obtaining the distribution result of index weights in the method for directional treatment of exhaust gas based on detection of harmful substances according to the present invention;
Fig. 5 is a schematic structural diagram of an exhaust gas directional treatment system based on harmful substance detection according to the present invention.
Reference numerals illustrate:
the system comprises a detection analysis module M100, a matching acquisition module M200, an intelligent acquisition module M300, an evaluation generation module M400, a weight determination module M500, an analysis calculation module M600 and a selected execution module M700.
Detailed Description
The invention provides the method and the system for directionally treating the waste gas based on the detection of the harmful substances, which solve the technical problems that the technical economy of waste gas treatment is low and even the target treatment effect cannot be achieved due to high cost caused by the fact that the treatment scheme cannot be formulated according to the types and the concentrations of the harmful substances in the waste gas when the waste gas is treated in the prior art. The technical effects of improving the credibility of the optimization decision of the selected exhaust gas treatment scheme and further improving the scientificity and reliability of the exhaust gas treatment are achieved.
The technical scheme of the invention obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.
In the following, the technical solutions of the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention, and that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.
Example 1
Referring to fig. 1, the invention provides a method for directional treatment of exhaust gas based on detection of harmful substances, wherein the method adopts an exhaust gas directional treatment system based on detection of harmful substances, and the method specifically comprises the following steps:
step S100: detecting waste gas in a region to be detected to obtain waste gas harmful substance information, wherein the waste gas harmful substance information comprises harmful substance types and harmful substance concentrations;
specifically, the implementation of the exhaust gas directional treatment method based on the harmful substance detection adopts an exhaust gas directional treatment system based on the harmful substance detection, the type and concentration data of the harmful substances in the target exhaust gas can be obtained through detection and analysis, and the exhaust gas treatment scheme with the best comprehensive treatment quality is determined through analysis based on the type and concentration data, so that the scientificity and pertinence of exhaust gas treatment are improved, and the directional treatment of the exhaust gas is realized. The area to be detected refers to any area for making an exhaust gas treatment scheme decision by using an exhaust gas directional treatment system based on harmful substance detection. And detecting the waste gas in the region by detecting the waste gas in the region to be detected, wherein the detection comprises detection of the types and the concentrations of harmful substances in the waste gas, so as to obtain the types and the concentrations of the harmful substances. The types of the harmful substances and the concentrations of the harmful substances have a one-to-one correspondence. Exemplary concentration data of harmful gases such as benzene, alcohols, aldehyde ketones, olefins and the like and corresponding various harmful gases.
The type and concentration data of harmful substances in the target waste gas are obtained through detection and analysis, and the aim of providing visual and accurate waste gas data for the follow-up treatment scheme which is matched and corresponds to the actual condition of the waste gas is achieved.
Step S200: matching an exhaust gas treatment scheme set according to the type of the harmful substances;
specifically, according to the types of harmful substances in the exhaust gas, the characteristics of the harmful substances are analyzed in sequence, so that a method for treating various harmful substances is obtained in a targeted manner. Exemplary treatments include activated sludge, biological scrubbing, chemical oxidation, etc. when the exhaust gas contains sulfur dioxide, and catalytic reduction, adsorption, etc. when the exhaust gas contains nitrogen oxides such as nitrogen monoxide and nitrogen dioxide. And further, combining the treatment methods of various harmful substances in the waste gas to obtain the waste gas treatment scheme set. By sequentially analyzing various harmful substances in the waste gas and obtaining corresponding treatment schemes, a set of all schemes for treating the waste gas is finally obtained, and the technical effect of providing an analysis basis for subsequent comprehensive analysis, evaluation of each waste gas treatment scheme and determination of an optimal waste gas treatment scheme is achieved.
Step S300: acquiring a screening evaluation index of a treatment scheme;
further, as shown in fig. 2, step S300 of the present invention further includes:
step S310: uploading a first screening index evaluation set, a second screening index set and an Nth screening index set from a first blockchain node, a second blockchain node to an Nth blockchain node according to the waste gas treatment decision blockchain;
step S320: traversing the first screening index evaluation set and the second screening index set until the Nth screening index set is combined to generate an initial screening index set;
step S330: and sending the initial screening index set to a user side for screening to obtain the screening evaluation index of the processing scheme.
Specifically, before analyzing and acquiring the treatment scheme screening evaluation indexes, firstly, sequentially analyzing and acquiring the treatment scheme evaluation indexes of each blockchain node based on each blockchain node on the exhaust gas treatment decision blockchain, namely acquiring a set of N treatment scheme evaluation indexes from a first blockchain node to an N-th blockchain node, and uploading the indexes. That is, the first screening index evaluation set, the second screening index set, and the nth screening index set are sequentially uploaded to the user side. The user side refers to a user side of an exhaust gas directional treatment system for detecting harmful substances, and the exhaust gas directional treatment system for detecting the harmful substances is used for executing each step of an exhaust gas directional treatment method for realizing the detection of the harmful substances. Further, the uploaded screening index sets are subjected to union operation to obtain an initial screening index set. And finally, automatically sending the initial screening index set to a user side by the system, and determining indexes for evaluating each exhaust gas treatment scheme by a user of the user side based on the actual exhaust gas treatment condition and the requirements, namely determining the treatment scheme screening evaluation indexes. For example, a user may use less space to treat the exhaust gas, and thus take the floor space of the exhaust gas treatment plan as an index for evaluating the exhaust gas treatment plan; when a user performs exhaust gas treatment in a region close to a resident region, the influence of the exhaust gas treatment on the surrounding environment is used as one of the indexes of the evaluation scheme.
The initial screening index set is obtained through the exhaust gas treatment decision block chain, and then the user side comprehensively analyzes and then determines the treatment scheme screening evaluation index, so that the technical effects of providing an evaluation index foundation for the follow-up comprehensive evaluation of each exhaust gas treatment scheme, and improving the individuation and close to the facts of scheme evaluation are achieved.
Step S400: traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values, and generating a screening index characteristic value set;
further, as shown in fig. 3, step S400 of the present invention further includes:
step S410: acquiring an index characteristic value evaluation model, wherein the index characteristic value evaluation model comprises a first sub-model and a second sub-model;
further, step S410 of the present invention further includes:
step S411: classifying the treatment scheme screening evaluation indexes to obtain treatment scheme screening evaluation qualitative indexes and treatment scheme screening evaluation quantitative indexes;
step S412: screening and evaluating qualitative indexes according to the processing scheme, and constructing a data set by matching qualitative index characteristic value evaluation submodels;
further, step S412 of the present invention further includes:
Step S4121: screening and evaluating qualitative indexes according to the treatment scheme, and matching a treatment scheme record data set, a harmful substance concentration record data set and a qualitative index state record data set;
step S4122: performing level division on the qualitative index state record data set to generate a qualitative index level division result;
step S4123: and adding the treatment scheme record data set, the harmful substance concentration record data set and the qualitative index level division result into the qualitative index characteristic value evaluation submodel construction data set.
Step S413: screening and evaluating quantitative indexes according to the processing scheme, and constructing a data set by matching quantitative index characteristic value evaluation submodels;
step S414: constructing a data set according to the qualitative index feature value evaluation submodel, and constructing the first submodel;
step S415: constructing a data set according to the quantitative index characteristic value evaluation submodel and constructing the second submodel;
step S416: and merging the first sub-model and the second sub-model to generate the index characteristic value assessment model.
Step S420: inputting the exhaust gas treatment scheme set and the harmful substance concentration into the first sub-model to obtain a screening evaluation qualitative index feature value set;
Step S430: inputting the exhaust gas treatment scheme set and the harmful substance concentration into the second sub-model to obtain a screening evaluation quantitative index characteristic value set;
step S440: and adding the screening evaluation qualitative index feature value set and the screening evaluation quantitative index feature value set into the screening index feature value set.
Specifically, before comprehensively analyzing to obtain characteristic values of screening and evaluating indexes of each processing scheme, a first sub-model and a second sub-model are firstly constructed, and the index characteristic value evaluating model is obtained. The first sub-model is used for comprehensively analyzing the exhaust gas treatment scheme set and the harmful substance concentration to obtain characteristic values of all qualitative indexes in screening scheme evaluation indexes, and the screening evaluation qualitative index characteristic value set is formed. The first sub-model is used for comprehensively analyzing the exhaust gas treatment scheme set and the harmful substance concentration to obtain characteristic values of quantitative indexes in screening scheme evaluation indexes, and the characteristic value set of the screening evaluation quantitative indexes is formed. And finally, taking the screening evaluation qualitative index feature value set and the screening evaluation quantitative index feature value set obtained by the first sub-model and the second sub-model as screening index feature values, and adding the screening index feature value set to the screening index feature value set.
Further, when the first sub-model is constructed, firstly, classifying the treatment scheme screening evaluation indexes in an index qualitative mode or an index quantitative mode, namely, respectively obtaining the treatment scheme screening evaluation qualitative indexes and the treatment scheme screening evaluation quantitative indexes. And screening and evaluating the qualitative indexes based on the classified treatment schemes, sequentially matching the relevant treatment parameters, the concentrations of the corresponding harmful substances before and after treatment and the state data of the qualitative indexes when the corresponding treatment schemes treat the waste gas, and further carrying out level division on the state record data set of the qualitative indexes to generate a qualitative index level division result. And taking the treatment scheme record data set, the harmful substance concentration record data set and the qualitative index level division result as data sets for constructing a first sub-model for training to obtain the first sub-model. Exemplary factors include the maturity of the core technology in the treatment scheme, the safety of the treatment scheme, etc. in the treatment of the exhaust gas, for example, are qualitative indicators of the treatment scheme.
Further, when the second sub-model is constructed, the treatment scheme obtained by screening and evaluating the index division is used for screening and evaluating the quantitative index, and the relevant treatment parameters, the concentration of the corresponding harmful substances before and after treatment and the state data of the quantitative index when the corresponding treatment scheme is used for treating the waste gas are sequentially matched, so that the quantitative index state record data set is subjected to level division, and a quantitative index level division result is generated. And taking the treatment scheme record data set, the harmful substance concentration record data set and the quantitative index level division result as data sets for constructing a second sub-model for training to obtain the second sub-model. Exemplary such as waste gas treatment, the size of the occupied area, the total investment cost, the emission standard probability of harmful substances after waste gas treatment and the like required by the operation of the treatment scheme are quantitative indexes of the waste gas treatment scheme. And finally, generating an index characteristic value assessment model based on the first sub-model and the second sub-model.
The screening evaluation indexes of the treatment schemes are qualitatively and quantitatively divided, a first sub-model is built based on the qualitative indexes, a second sub-model is built based on the quantitative indexes, intelligent analysis is respectively carried out on the screening evaluation indexes of the treatment schemes, and the characteristic values of the corresponding screening indexes are obtained, so that the technical effects of comprehensively and pertinently improving the reliability and the accuracy of the characteristic values of the screening indexes are achieved.
Step S500: performing weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain index weight distribution results;
further, as shown in fig. 4, step S500 of the present invention further includes:
step S510: traversing the screening index characteristic value sets to obtain a first screening index characteristic value set and a second screening index characteristic value set until an Mth screening index characteristic value set;
step S520: according to the first screening index feature value set, a first variation coefficient is obtained;
step S530: according to the M screening index feature value set, solving an M variation coefficient;
step S540: and carrying out weight distribution on the treatment scheme screening evaluation indexes according to the first variation coefficient to the Mth variation coefficient to obtain an index weight distribution result.
Further, step S540 of the present invention further includes:
step S541: transmitting the processing scheme screening evaluation index to the first blockchain node and the second blockchain node until the N blockchain node, and grading importance degree to obtain a first grading result and a second grading result until the N grading result;
step S542: acquiring an importance weight distribution formula:
step S543: wherein, (W) a ) i Importance weight, x, representing the i-th index i An importance score representing the ith index, n representing the nth blockchain node;
step S544: inputting the first scoring result and the second scoring result to the Nth scoring result into the importance weight distribution formula to generate an importance weight distribution result;
step S545: obtaining a variation weight distribution formula:
step S546: wherein, xi i A coefficient of variation indicating the ith index, (W) b ) i Variation weight, sigma, representing the ith index i Standard deviation, a, representing the characteristic value set of the ith index i A mean value of the feature value set representing the i-th index;
step S547: inputting the first variation coefficient to the Mth variation coefficient into the variation weight distribution formula to generate a variation weight distribution result;
Step S548: and adding the importance weight distribution result and the variation weight distribution result into the index weight distribution result.
Specifically, after intelligently analyzing to obtain characteristic values of screening evaluation indexes of each processing scheme, namely obtaining a screening index characteristic value set, sequentially calculating variation coefficients of each screening index characteristic value set by using a variation coefficient method to obtain the first variation coefficient to the Mth variation coefficient, wherein the first variation coefficient to the Mth variation coefficient are respectively in one-to-one correspondence with the first screening index characteristic value set to the Mth screening index characteristic value set.
Further, index importance analysis is carried out on the screening and evaluation indexes of the treatment scheme respectively based on all the blockchain nodes in the exhaust gas treatment decision blockchain in sequence, so that a first grading result of a first blockchain node and a second grading result of a second blockchain node are respectively obtained until an Nth grading result of an Nth blockchain node is obtained. And inputting the calculated first scoring result and the calculated second scoring result to the N scoring result into the importance weight distribution formula to generate an importance weight distribution result. The formula for weight distribution on the importance of the screening evaluation index of each blockchain node calculation processing scheme is as follows:
Wherein, (W) a ) i Importance weight, x, representing the i-th index i An importance score representing the i-th index and n representing the n-th blockchain node.
Further, the first variation coefficient to the Mth variation coefficient are input into the variation weight distribution formula, and the variation weight distribution result is obtained through calculation. When the variation weight is distributed based on the first variation coefficient to the Mth variation coefficient, the specific calculation method is as follows:
wherein, xi i A coefficient of variation indicating the ith index, (W) b ) i Variation weight, sigma, representing the ith index i Standard deviation, a, representing the characteristic value set of the ith index i Representing the mean of the feature value set of the i-th index.
Finally, the importance weight distribution result and the variation weight distribution result are added to the index weight distribution result as weight values for calculating the scores of the respective exhaust gas treatment schemes later. The actual weight value of the processing scheme screening evaluation index is obtained based on the variation coefficient method and the importance evaluation, so that the technical effect of providing a weight basis for the comprehensive score of the subsequent calculation processing scheme is achieved, and the calculation accuracy of the comprehensive score is further improved.
Step S600: traversing the waste gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set;
step S700: and screening the waste gas treatment schemes according to the treatment scheme screening score sets, obtaining a selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to staff for directional waste gas treatment.
Specifically, based on the index weight distribution result of the treatment scheme screening evaluation index obtained by comprehensive calculation and analysis, combining the characteristic value of the treatment scheme screening evaluation index, namely the screening index characteristic value set, and performing weighted calculation to obtain the comprehensive score of each exhaust gas treatment scheme in the exhaust gas treatment scheme set, and forming the treatment scheme screening score set, wherein the weighted calculation is to respectively weight importance weight and variation weight as independent weights. And screening the comprehensive score of each exhaust gas treatment scheme in the score set by comparing the treatment schemes, and taking the exhaust gas treatment scheme with the largest comprehensive score as the selected exhaust gas treatment scheme. The selected exhaust gas treatment scheme is a scheme finally used for treating the exhaust gas in the region to be detected, and is a targeted treatment scheme obtained by comprehensive analysis based on the actual condition of the exhaust gas. And sending the selected exhaust gas treatment scheme to a worker for providing exhaust gas directional treatment guidance when treating the exhaust gas in the region to be detected. The optimal exhaust gas treatment scheme is determined to treat target exhaust gas by comparing the screening scores of the exhaust gas treatment schemes, so that the technical effects of improving the credibility of the optimal decision of the selected exhaust gas treatment scheme and further improving the scientificity and reliability of the exhaust gas treatment are achieved.
In summary, the exhaust gas directional treatment method based on harmful substance detection provided by the invention has the following technical effects:
obtaining information of waste gas harmful substances by detecting waste gas in a region to be detected, wherein the information of the waste gas harmful substances comprises types of the harmful substances and concentrations of the harmful substances; matching an exhaust gas treatment scheme set according to the type of the harmful substances; acquiring a screening evaluation index of a treatment scheme; traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values, and generating a screening index characteristic value set; performing weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain index weight distribution results; traversing the waste gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set; and screening the waste gas treatment schemes according to the treatment scheme screening score sets, obtaining a selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to staff for directional waste gas treatment. The type and concentration data of harmful substances in the target waste gas are obtained through detection and analysis, and the aim of providing visual and accurate waste gas data for the subsequent targeted formulation of a corresponding treatment scheme based on the actual condition of the waste gas is achieved. And further, the treatment scheme screening evaluation index is obtained through analysis, an evaluation index basis is provided for subsequent traversal of the exhaust gas treatment scheme, further, scientific, comprehensive and objective evaluation of each exhaust gas treatment scheme, and a basis is further provided for the accuracy of the screening score of the subsequent treatment scheme. In addition, the screening index characteristic value is obtained in a qualitative and quantitative combined mode, and the technical effects of comprehensively improving the reliability and the accuracy of the screening index characteristic value are achieved. And finally, comparing the screening scores of the waste gas treatment schemes to determine the optimal waste gas treatment scheme to treat target waste gas, thereby achieving the technical effects of improving the credibility of the optimal decision of the selected waste gas treatment scheme and further improving the scientificity and reliability of waste gas treatment.
Example two
Based on the same inventive concept as the exhaust gas directional treatment method based on harmful substance detection in the foregoing embodiment, the present invention further provides an exhaust gas directional treatment system based on harmful substance detection for implementing the exhaust gas directional treatment method based on harmful substance detection in the foregoing embodiment, referring to fig. 5, the system includes:
the detection and analysis module M100 is used for detecting waste gas in a region to be detected to obtain waste gas harmful substance information, wherein the waste gas harmful substance information comprises a harmful substance type and a harmful substance concentration;
a matching obtaining module M200, where the matching obtaining module M200 is configured to match an exhaust gas treatment scheme set according to the type of the harmful substance;
the intelligent acquisition module M300 is used for acquiring a processing scheme screening evaluation index;
the evaluation generation module M400 is used for traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values and generating a screening index characteristic value set;
the weight determining module M500 is used for carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set, and obtaining an index weight distribution result;
The analysis and calculation module M600 is used for traversing the exhaust gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set;
and the selected execution module M700 is used for screening the exhaust gas treatment schemes according to the treatment scheme screening score sets, obtaining a selected exhaust gas treatment scheme and sending the selected exhaust gas treatment scheme to staff for directional treatment of the exhaust gas.
Further, the intelligent acquisition module M300 in the system is further configured to:
uploading a first screening index evaluation set, a second screening index set and an Nth screening index set from a first blockchain node, a second blockchain node to an Nth blockchain node according to the waste gas treatment decision blockchain;
traversing the first screening index evaluation set and the second screening index set until the Nth screening index set is combined to generate an initial screening index set;
and sending the initial screening index set to a user side for screening to obtain the screening evaluation index of the processing scheme.
Further, the evaluation generating module M400 in the system is further configured to:
Acquiring an index characteristic value evaluation model, wherein the index characteristic value evaluation model comprises a first sub-model and a second sub-model;
inputting the exhaust gas treatment scheme set and the harmful substance concentration into the first sub-model to obtain a screening evaluation qualitative index feature value set;
inputting the exhaust gas treatment scheme set and the harmful substance concentration into the second sub-model to obtain a screening evaluation quantitative index characteristic value set;
and adding the screening evaluation qualitative index feature value set and the screening evaluation quantitative index feature value set into the screening index feature value set.
Further, the evaluation generating module M400 in the system is further configured to:
classifying the treatment scheme screening evaluation indexes to obtain treatment scheme screening evaluation qualitative indexes and treatment scheme screening evaluation quantitative indexes;
screening and evaluating qualitative indexes according to the processing scheme, and constructing a data set by matching qualitative index characteristic value evaluation submodels;
screening and evaluating quantitative indexes according to the processing scheme, and constructing a data set by matching quantitative index characteristic value evaluation submodels;
constructing a data set according to the qualitative index feature value evaluation submodel, and constructing the first submodel;
Constructing a data set according to the quantitative index characteristic value evaluation submodel and constructing the second submodel;
and merging the first sub-model and the second sub-model to generate the index characteristic value assessment model.
Further, the evaluation generating module M400 in the system is further configured to:
screening and evaluating qualitative indexes according to the treatment scheme, and matching a treatment scheme record data set, a harmful substance concentration record data set and a qualitative index state record data set;
performing level division on the qualitative index state record data set to generate a qualitative index level division result;
and adding the treatment scheme record data set, the harmful substance concentration record data set and the qualitative index level division result into the qualitative index characteristic value evaluation submodel construction data set.
Further, the weight determining module M500 in the system is further configured to:
traversing the screening index characteristic value sets to obtain a first screening index characteristic value set and a second screening index characteristic value set until an Mth screening index characteristic value set;
according to the first screening index feature value set, a first variation coefficient is obtained;
According to the M screening index feature value set, solving an M variation coefficient;
and carrying out weight distribution on the treatment scheme screening evaluation indexes according to the first variation coefficient to the Mth variation coefficient to obtain an index weight distribution result.
Further, the weight determining module M500 in the system is further configured to:
transmitting the processing scheme screening evaluation index to the first blockchain node and the second blockchain node until the N blockchain node, and grading importance degree to obtain a first grading result and a second grading result until the N grading result;
acquiring an importance weight distribution formula:
wherein, (W) a ) i Importance weight, x, representing the i-th index i An importance score representing the ith index, n representing the nth blockchain node;
inputting the first scoring result and the second scoring result to the Nth scoring result into the importance weight distribution formula to generate an importance weight distribution result;
obtaining a variation weight distribution formula:
wherein, xi i A coefficient of variation indicating the ith index, (W) b ) i Variation weight, sigma, representing the ith index i Standard deviation, a, representing the characteristic value set of the ith index i Features representing the ith indexA mean value of the set of values;
inputting the first variation coefficient to the Mth variation coefficient into the variation weight distribution formula to generate a variation weight distribution result;
and adding the importance weight distribution result and the variation weight distribution result into the index weight distribution result.
The embodiments of the present invention are described in a progressive manner, and each embodiment focuses on the difference from the other embodiments, and the above-described exhaust gas directional treatment method and specific example based on harmful substance detection in the first embodiment of fig. 1 are equally applicable to an exhaust gas directional treatment system based on harmful substance detection in the present embodiment, and by the above-described detailed description of an exhaust gas directional treatment method based on harmful substance detection, those skilled in the art can clearly understand that an exhaust gas directional treatment system based on harmful substance detection in the present embodiment is not described in detail herein for brevity of description. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. 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 invention. Thus, the present invention 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.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and the equivalent techniques thereof, the present invention is also intended to include such modifications and variations.
Claims (5)
1. An exhaust gas directional treatment method based on harmful substance detection is characterized by comprising the following steps:
detecting waste gas in a region to be detected to obtain waste gas harmful substance information, wherein the waste gas harmful substance information comprises harmful substance types and harmful substance concentrations;
matching an exhaust gas treatment scheme set according to the type of the harmful substances;
Acquiring a screening evaluation index of a treatment scheme;
traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values, and generating a screening index characteristic value set;
performing weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain index weight distribution results;
traversing the waste gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set;
screening the waste gas treatment schemes according to the treatment scheme screening score sets to obtain selected waste gas treatment schemes, and sending the selected waste gas treatment schemes to staff for directional waste gas treatment;
the step of traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values, and generating a screening index characteristic value set, wherein the step of traversing the treatment scheme screening evaluation index to generate the screening index characteristic value set comprises the following steps:
acquiring an index characteristic value evaluation model, wherein the index characteristic value evaluation model comprises a first sub-model and a second sub-model;
inputting the exhaust gas treatment scheme set and the harmful substance concentration into the first sub-model to obtain a screening evaluation qualitative index feature value set;
Inputting the exhaust gas treatment scheme set and the harmful substance concentration into the second sub-model to obtain a screening evaluation quantitative index characteristic value set;
adding the screening evaluation qualitative index feature value set and the screening evaluation quantitative index feature value set into the screening index feature value set;
wherein the obtaining the index feature value evaluation model includes:
classifying the treatment scheme screening evaluation indexes to obtain treatment scheme screening evaluation qualitative indexes and treatment scheme screening evaluation quantitative indexes;
screening and evaluating qualitative indexes according to the processing scheme, and constructing a data set by matching qualitative index characteristic value evaluation submodels;
screening and evaluating quantitative indexes according to the processing scheme, and constructing a data set by matching quantitative index characteristic value evaluation submodels;
constructing a data set according to the qualitative index feature value evaluation submodel, and constructing the first submodel;
constructing a data set according to the quantitative index characteristic value evaluation submodel and constructing the second submodel;
combining the first sub-model and the second sub-model to generate the index characteristic value assessment model;
wherein the screening and evaluating qualitative indexes according to the processing scheme, and constructing a data set by matching qualitative index characteristic value evaluation submodels comprises the following steps:
Screening and evaluating qualitative indexes according to the treatment scheme, and matching a treatment scheme record data set, a harmful substance concentration record data set and a qualitative index state record data set;
performing level division on the qualitative index state record data set to generate a qualitative index level division result;
and adding the treatment scheme record data set, the harmful substance concentration record data set and the qualitative index level division result into the qualitative index characteristic value evaluation submodel construction data set.
2. The method of claim 1, wherein the method employs an exhaust gas directional treatment system based on detection of harmful substances, the system including a client, the system being a blockchain node of an exhaust gas treatment decision blockchain, the acquiring treatment plan screening evaluation metrics comprising:
uploading a first screening index evaluation set, a second screening index set and an Nth screening index set from a first blockchain node, a second blockchain node to an Nth blockchain node according to the waste gas treatment decision blockchain;
traversing the first screening index evaluation set and the second screening index set until the Nth screening index set is combined to generate an initial screening index set;
And sending the initial screening index set to a user side for screening to obtain the screening evaluation index of the processing scheme.
3. The method of claim 2, wherein the weighting distribution is performed on the processing scheme screening evaluation index according to the screening index feature value set, and obtaining an index weighting distribution result includes:
traversing the screening index characteristic value sets to obtain a first screening index characteristic value set and a second screening index characteristic value set until an Mth screening index characteristic value set;
according to the first screening index feature value set, a first variation coefficient is obtained;
according to the M screening index feature value set, solving an M variation coefficient;
and carrying out weight distribution on the treatment scheme screening evaluation indexes according to the first variation coefficient to the Mth variation coefficient to obtain an index weight distribution result.
4. The method of claim 3, wherein said weighting the treatment screening evaluation index according to the first coefficient of variation up to the mth coefficient of variation to obtain the index weight distribution result, comprises:
transmitting the processing scheme screening evaluation index to the first blockchain node and the second blockchain node until the N blockchain node, and grading importance degree to obtain a first grading result and a second grading result until the N grading result;
Acquiring an importance weight distribution formula:
wherein, (W) a ) i Importance weight, x, representing the i-th index i An importance score representing the ith index, n representing the nth blockchain node;
inputting the first scoring result and the second scoring result to the Nth scoring result into the importance weight distribution formula to generate an importance weight distribution result;
obtaining a variation weight distribution formula:
wherein, xi i A coefficient of variation indicating the ith index, (W) b ) i Variation weight, sigma, representing the ith index i Standard deviation, a, representing the characteristic value set of the ith index i A mean value of the feature value set representing the i-th index;
inputting the first variation coefficient to the Mth variation coefficient into the variation weight distribution formula to generate a variation weight distribution result;
and adding the importance weight distribution result and the variation weight distribution result into the index weight distribution result.
5. An exhaust gas directional treatment system based on detection of harmful substances, comprising:
the detection analysis module is used for detecting waste gas in a region to be detected and acquiring waste gas harmful substance information, wherein the waste gas harmful substance information comprises harmful substance types and harmful substance concentrations;
The matching obtaining module is used for matching the exhaust gas treatment scheme set according to the type of the harmful substances;
the intelligent acquisition module is used for acquiring the screening evaluation index of the processing scheme;
the evaluation generation module is used for traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values and generating a screening index characteristic value set;
the weight determining module is used for carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain index weight distribution results;
the analysis and calculation module is used for traversing the exhaust gas treatment scheme set according to the index weight distribution result and the screening index characteristic value set to obtain a treatment scheme screening score set;
the selected execution module is used for screening the waste gas treatment schemes according to the treatment scheme screening score sets, obtaining a selected waste gas treatment scheme and sending the selected waste gas treatment scheme to staff for directional treatment of waste gas;
The step of traversing the exhaust gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation index to evaluate index characteristic values, and generating a screening index characteristic value set, wherein the step of traversing the treatment scheme screening evaluation index to generate the screening index characteristic value set comprises the following steps:
acquiring an index characteristic value evaluation model, wherein the index characteristic value evaluation model comprises a first sub-model and a second sub-model;
inputting the exhaust gas treatment scheme set and the harmful substance concentration into the first sub-model to obtain a screening evaluation qualitative index feature value set;
inputting the exhaust gas treatment scheme set and the harmful substance concentration into the second sub-model to obtain a screening evaluation quantitative index characteristic value set;
adding the screening evaluation qualitative index feature value set and the screening evaluation quantitative index feature value set into the screening index feature value set;
wherein the obtaining the index feature value evaluation model includes:
classifying the treatment scheme screening evaluation indexes to obtain treatment scheme screening evaluation qualitative indexes and treatment scheme screening evaluation quantitative indexes;
screening and evaluating qualitative indexes according to the processing scheme, and constructing a data set by matching qualitative index characteristic value evaluation submodels;
Screening and evaluating quantitative indexes according to the processing scheme, and constructing a data set by matching quantitative index characteristic value evaluation submodels;
constructing a data set according to the qualitative index feature value evaluation submodel, and constructing the first submodel;
constructing a data set according to the quantitative index characteristic value evaluation submodel and constructing the second submodel;
combining the first sub-model and the second sub-model to generate the index characteristic value assessment model;
wherein the screening and evaluating qualitative indexes according to the processing scheme, and constructing a data set by matching qualitative index characteristic value evaluation submodels comprises the following steps:
screening and evaluating qualitative indexes according to the treatment scheme, and matching a treatment scheme record data set, a harmful substance concentration record data set and a qualitative index state record data set;
performing level division on the qualitative index state record data set to generate a qualitative index level division result;
and adding the treatment scheme record data set, the harmful substance concentration record data set and the qualitative index level division result into the qualitative index characteristic value evaluation submodel construction data set.
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