CN115358631A - Waste gas directional treatment method and system based on harmful substance detection - Google Patents
Waste gas directional treatment method and system based on harmful substance detection Download PDFInfo
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Abstract
The invention discloses a waste gas directional treatment method and a system based on harmful substance detection, which relate to the technical field of computer application, and the method comprises the following steps: detecting the region to be detected to obtain the type and concentration of the harmful substances; matching a set of exhaust treatment schemes; acquiring a screening evaluation index of a processing scheme; traversing the processing scheme to screen the evaluation indexes to generate a set of screening index characteristic values; obtaining an index weight distribution result of the screening evaluation indexes 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; and screening to obtain a selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to workers for directional treatment of waste gas. The problem of prior art can't be based on the type of harmful substance in the waste gas and concentration pertinence formulate the treatment scheme, lead to waste gas treatment's technical economy low is solved. The method achieves the effects of improving the reliability of the optimal decision of the selected waste gas treatment scheme and improving the scientificity and reliability of waste gas treatment.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a waste gas directional treatment method and system based on harmful substance detection.
Background
With the acceleration of the industrialization process, many enterprises can discharge certain industrial waste gas in the actual production process. If the discharge of the waste gas is not controlled, environmental problems such as acid rain, photochemical smog and the like can be caused, particularly volatile organic compounds in the waste gas can cause atmospheric pollution and destroy the ecological environment, and benzene, alcohol, aldehyde ketone, olefin 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, the circulatory system, the endocrine system and the nervous system of a human body. The existing waste gas treatment methods include chemical treatment methods such as catalytic oxidation and plasma decomposition, biological treatment methods such as biological filter and biological washing, and physical treatment methods such as adsorption and membrane separation. However, when the exhaust gas is treated, an individualized exhaust gas treatment scheme cannot be made specifically based on the type and concentration of harmful substances in the exhaust gas, so that the exhaust gas cannot be treated with high efficiency, high accuracy and high quality, and even the target treatment effect cannot be achieved at high cost. Therefore, the research is based on the actual situation of the waste gas, and the scheme for intelligently generating the optimal decision of waste gas treatment has important significance.
However, when the exhaust gas is treated in the prior art, a treatment scheme cannot be specifically established based on the type and concentration of harmful substances in the exhaust gas, so that the technical economy of the exhaust gas treatment is low, and even the target treatment effect cannot be achieved at high cost.
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 when the waste gas is treated in the prior art, a treatment scheme cannot be specifically established based on the type and concentration of harmful substances in the waste gas, so that the technical economy of waste gas treatment is low, and even the target treatment effect cannot be achieved with high cost.
In view of the above problems, the present invention provides a method and a system for directional exhaust gas treatment based on harmful substance detection.
In a first aspect, the present invention provides a directional exhaust gas treatment method based on harmful substance detection, which is implemented by a directional exhaust gas treatment system based on harmful substance detection, wherein the method includes: the method comprises the steps of carrying out waste gas detection on a region to be detected to obtain waste gas harmful substance information, wherein the waste gas harmful substance information comprises the type and concentration of the harmful substance; matching a waste gas treatment scheme set according to the harmful substance types; acquiring a screening evaluation index of a processing scheme; traversing the waste gas treatment scheme set and the concentration of the harmful substances, traversing the treatment scheme screening and evaluating indexes to evaluate the index characteristic value, and generating a screening index characteristic value set; carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain an index weight distribution result; 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 value sets to obtain selected waste gas treatment schemes, and sending the selected waste gas treatment schemes to workers for directional treatment of waste gas.
In a second aspect, the present invention further provides a harmful substance detection-based directional exhaust gas treatment system for performing the harmful substance detection-based directional exhaust gas treatment method according to the first aspect, wherein the system comprises: the detection and analysis module is used for carrying out waste gas detection on 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; a matching obtaining module for matching a set of exhaust treatment schemes according to the type of the harmful substance; the intelligent acquisition module is used for acquiring screening evaluation indexes of the processing scheme; the evaluation generation module is used for traversing the waste gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation indexes to evaluate the index characteristic values, and generating a screening index characteristic value set; the weight determining module is used for performing weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain an index weight distribution result; the analysis and calculation module is used for 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 the selected execution module is used for screening the waste gas treatment scheme according to the treatment scheme screening score set, acquiring the selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to a worker for directional waste gas treatment.
One or more technical schemes provided by the invention at least have the following technical effects or advantages:
the method comprises the steps of carrying out waste gas detection on a region to be detected to obtain waste gas harmful substance information, wherein the waste gas harmful substance information comprises the type and concentration of the harmful substance; matching a waste gas treatment scheme set according to the harmful substance type; acquiring a screening evaluation index of a processing scheme; traversing the waste gas treatment scheme set and the concentration of the harmful substances, and traversing the treatment scheme screening evaluation indexes to evaluate the index characteristic values to generate a screening index characteristic value set; carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain an index weight distribution result; 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 value sets to obtain selected waste gas treatment schemes, and sending the selected waste gas treatment schemes to workers for directional treatment of waste gas. 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 situation of the waste gas is achieved. And then screening evaluation indexes of the treatment schemes are obtained through analysis, so that an evaluation index basis is provided for the subsequent traversal of the waste gas treatment schemes and the scientific, comprehensive and objective evaluation of each waste gas treatment scheme, and a basis is further provided for the accuracy of the screening scores of the subsequent treatment schemes. In addition, the screening index characteristic value is obtained in a qualitative and quantitative combined mode, and the technical effect of comprehensively improving the reliability and the accuracy of the screening index characteristic value is achieved. And finally, the optimal waste gas treatment scheme is determined to carry out the treatment of the target waste gas by comparing the screening values of the waste gas treatment schemes, so that the reliability of the optimal decision of the selected waste gas treatment scheme is improved, and the technical effects of scientificalness and reliability of waste gas treatment are further improved.
The above description is only an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description so as to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in 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 chart of a method for directional exhaust gas treatment based on harmful substance detection according to the present invention;
FIG. 2 is a schematic flow chart of the method for directional treatment of exhaust gas based on harmful substance detection to obtain screening evaluation indexes of the treatment scheme;
FIG. 3 is a schematic flow chart of a method for generating a set of characteristic values of screening indexes in a waste gas directional treatment method based on harmful substance detection according to the present invention;
FIG. 4 is a schematic flow chart of the index weight distribution result obtained in the exhaust gas directional treatment method based on harmful substance detection 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.
Description of reference numerals:
the system comprises a detection analysis module M100, a matching obtaining module M200, an intelligent obtaining 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 a directional waste gas treatment method and system based on harmful substance detection, and solves the technical problems that when waste gas is treated in the prior art, a treatment scheme cannot be specifically formulated based on the type and concentration of harmful substances in the waste gas, so that the technical economy of waste gas treatment is low, and even high cost is caused, the target treatment effect cannot be achieved. The method achieves the technical effects of improving the reliability of the optimal decision of the selected waste gas treatment scheme and further improving the scientificity and reliability of waste gas treatment.
In the technical scheme of the invention, the data acquisition, storage, use, processing and the like all conform to relevant regulations of national laws and regulations.
The technical solutions in the present invention will be described below clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention. It should be further noted that, for the convenience of description, only some but not all of the elements associated with the present invention are shown in the drawings.
Example one
Referring to fig. 1, the present invention provides a directional exhaust gas treatment method based on harmful substance detection, wherein the method employs a directional exhaust gas treatment system based on harmful substance detection, and the method specifically includes the following steps:
step S100: carrying out waste gas detection on 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;
specifically, the implementation of the exhaust gas directional treatment method based on harmful substance detection adopts a system for exhaust gas directional treatment based on harmful substance detection, the type and concentration data of harmful substances in target exhaust gas can be obtained through detection and analysis, and an exhaust gas treatment scheme with the best comprehensive treatment quality is analyzed and determined on the basis of the 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 which utilizes an exhaust gas directional treatment system based on harmful substance detection to make exhaust gas treatment scheme decision. And detecting the waste gas in the region of the region to be detected, including detecting the types and the concentrations of the harmful substances in the waste gas, so as to obtain the types and the concentrations of the harmful substances. Wherein, harmful substance type and harmful substance concentration possess one-to-one correspondence. Exemplary harmful gases include benzene, alcohol, aldehyde ketone, olefin and the like, and concentration data of various harmful gases corresponding to the 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 subsequent treatment scheme based on the targeted matching of the actual condition of the waste gas is achieved.
Step S200: matching a waste gas treatment scheme set according to the harmful substance type;
specifically, according to the types of harmful substances in the waste gas, the characteristics of the harmful substances are sequentially analyzed, so that the method for treating various harmful substances is obtained in a targeted manner. For example, when the exhaust gas contains sulfur dioxide, the treatment may be performed by an activated sludge method, a biological scrubbing method, a chemical oxidation method, or the like, and when the exhaust gas contains nitrogen oxides such as nitrogen monoxide, nitrogen dioxide, or the like, the treatment may be performed by a catalytic reduction method, an adsorption method, or the like. 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 effects of providing analysis bases for subsequent comprehensive analysis and evaluation of various waste gas treatment schemes and determination of the optimal waste gas treatment scheme are achieved.
Step S300: acquiring a screening evaluation index of a processing 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 block chain node, a second block chain link point and an Nth block chain link point according to an exhaust gas treatment decision block chain;
step S320: traversing the first screening index evaluation set and the second screening index evaluation 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 the screening evaluation indexes of the processing schemes are analyzed and obtained, the processing scheme evaluation indexes of all the block chain nodes are sequentially analyzed and obtained based on all the block chain nodes on the waste gas processing decision block chain, and a set of N processing scheme evaluation indexes from a first block chain node, a second block chain node to an Nth block chain node is obtained and uploaded. That is, the first filtering index evaluation set, the second filtering index evaluation set, and the nth filtering index evaluation set are sequentially uploaded to the user side. The user side refers to a user side of the exhaust gas directional treatment system for detecting harmful substances, and the exhaust gas directional treatment system for detecting harmful substances is used for executing each step of the exhaust gas directional treatment method for realizing the detection of harmful substances. And further, performing union operation on the uploaded screening index sets to obtain an initial screening index set. And finally, the system automatically sends the initial screening index set to a user side, and the user of the user side determines indexes for evaluating each waste gas treatment scheme based on the actual waste gas treatment condition and demand, namely determines the screening evaluation indexes of the treatment schemes. For example, a user may have a small space available for the exhaust treatment, and therefore the floor space of the exhaust treatment plan may be used as an index for evaluating the exhaust treatment plan; when a user performs exhaust gas treatment near a residential area, the influence on the surrounding environment during exhaust gas treatment is used as one of the indexes of the evaluation plan, and the like.
An initial screening index set is obtained through a waste gas treatment decision block chain, and then a treatment scheme screening evaluation index is determined after comprehensive analysis is carried out by a user side, so that the technical effects of providing an evaluation index basis for subsequent comprehensive evaluation of each waste gas treatment scheme, and improving scheme evaluation individuation and approaching reality are achieved.
Step S400: traversing the waste gas treatment scheme set and the concentration of the harmful substances, traversing the treatment scheme screening and evaluating indexes to evaluate the index characteristic value, 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 submodel and a second submodel;
further, step S410 of the present invention further includes:
step S411: classifying the screening and evaluating indexes of the processing schemes to obtain screening and evaluating qualitative indexes of the processing schemes and screening and evaluating quantitative indexes of the processing schemes;
step S412: screening and evaluating qualitative indexes according to the processing scheme, and matching with a qualitative index characteristic value evaluation submodel to construct a data set;
further, step S412 of the present invention further includes:
step S4121: screening and evaluating qualitative indexes according to the processing scheme, and matching a processing scheme record data set, a harmful substance concentration record data set and a qualitative index state record data set;
step S4122: grading the qualitative index state recording data set to generate a qualitative index grading result;
step S4123: and adding the processing scheme record data set, the harmful substance concentration record data set and the qualitative index grade division result into the qualitative index characteristic value evaluation submodel to construct a data set.
Step S413: screening and evaluating quantitative indexes according to the processing scheme, matching quantitative index characteristic value evaluation submodels and constructing a data set;
step S414: constructing a data set according to the qualitative index characteristic 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 combining the first sub-model and the second sub-model to generate the index characteristic value evaluation model.
Step S420: inputting the waste gas treatment scheme set and the harmful substance concentration into the first submodel to obtain a screening evaluation qualitative index characteristic value set;
step S430: inputting the waste gas treatment scheme set and the harmful substance concentration into the second submodel to obtain a screening evaluation quantitative index characteristic value set;
step S440: and adding the screening evaluation qualitative index characteristic value set and the screening evaluation quantitative index characteristic value set into the screening index characteristic value set.
Specifically, before the characteristic values of the screening evaluation indexes of each processing scheme are obtained through comprehensive analysis, a first sub-model and a second sub-model are firstly established, and an index characteristic value evaluation model is established. The first sub-model is used for comprehensively analyzing the waste gas treatment scheme set and the harmful substance concentration to obtain characteristic values of all qualitative indexes in screening scheme evaluation indexes and form the screening evaluation qualitative index characteristic value set. The first sub-model is used for comprehensively analyzing the waste gas treatment scheme set and the harmful substance concentration to obtain characteristic values of all quantitative indexes in screening scheme evaluation indexes and form the screening evaluation quantitative index characteristic value set. And finally, taking the screening evaluation qualitative index characteristic value set and the screening evaluation quantitative index characteristic value set obtained by the first submodel and the second submodel as screening index characteristic values, and adding the screening index characteristic values to the screening index characteristic value set.
Further, when the first sub-model is constructed, firstly, the processing scheme screening and evaluating indexes are subjected to index qualitative or index quantitative evaluation category division, namely, a processing scheme screening and evaluating qualitative index and a processing scheme screening and evaluating quantitative index are respectively obtained. Then, screening and evaluating qualitative indexes based on the classified treatment schemes, sequentially matching related treatment parameters, concentrations of corresponding harmful substances before and after treatment and state data of the qualitative indexes when the corresponding treatment schemes treat the exhaust gas, and further performing level division on the qualitative index state record data sets to generate qualitative index level division results. And taking the processing scheme record data set, the harmful substance concentration record data set and the qualitative index grade division result as a data set for constructing a first submodel for training to obtain the first submodel. For example, in the exhaust gas treatment, the maturity of the core technology in the treatment scheme, the safety of the treatment scheme, and the like are qualitative indexes of the exhaust gas treatment scheme.
Further, when the second sub-model is constructed, screening and evaluating quantitative indexes of the processing schemes obtained by screening and evaluating indexes of the processing schemes, sequentially matching relevant processing parameters when the corresponding processing schemes process the waste gas, the concentrations of the corresponding harmful substances before and after processing and state data of the quantitative indexes, and further performing level division on the quantitative index state record data sets to generate quantitative index level division results. And taking the processing scheme recorded data set, the harmful substance concentration recorded data set and the quantitative index grade division result as a data set for constructing a second submodel, and training to obtain the second submodel. For example, in the case of waste gas treatment, the size of the occupied area, the total investment cost, the emission standard reaching probability of the harmful substances after waste gas treatment and the like required when the treatment scheme is operated are quantitative indexes of the waste gas treatment scheme. And finally, generating an index characteristic value evaluation model based on the first submodel and the second submodel.
The processing scheme screening and evaluating indexes are qualitatively and quantitatively divided, a first sub-model is constructed based on the qualitative indexes, a second sub-model is constructed based on the quantitative indexes, the processing scheme screening and evaluating indexes are intelligently analyzed respectively, corresponding screening index characteristic values are obtained, and the technical effect of comprehensively and pertinently improving the reliability and accuracy of the characteristic values of the screening indexes is achieved.
Step S500: carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain an index weight distribution result;
further, as shown in fig. 4, step S500 of the present invention further includes:
step S510: traversing the screening index characteristic value set 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 characteristic value set, a first variation coefficient is obtained;
step S530: obtaining an Mth variation coefficient according to the Mth screening index characteristic value set;
step S540: and carrying out weight distribution on the processing scheme screening evaluation indexes according to the first variation coefficient until the Mth variation coefficient to obtain an index weight distribution result.
Further, step S540 of the present invention further includes:
step S541: sending the processing scheme screening evaluation index to the first block chain node, the second block chain node and the Nth block chain node, and performing importance degree scoring to obtain a first scoring result, a second scoring result and the Nth scoring result;
step S542: obtaining an importance weight distribution formula:
step S543: wherein (W) a ) i Weight of importance, x, representing the i-th index i The importance degree score of the ith index is represented, and n represents the nth block chain node;
step S544: inputting the first scoring result, the second scoring result and 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 ξ i (W) coefficient of variation of the ith index b ) i The variation weight, σ, representing the ith index i Standard deviation of the set of characteristic values representing the i-th index, a i A mean value of a set of eigenvalues representing the ith index;
step S547: inputting the first coefficient of variation to the Mth coefficient of variation into the distribution formula of variation weight to generate a distribution result of variation weight;
step S548: and adding the importance weight distribution result and the variation weight distribution result into the index weight distribution result.
Specifically, after characteristic values of screening evaluation indexes of each processing scheme are obtained through intelligent analysis, namely the screening index characteristic value set is obtained, the variation coefficients of each screening index characteristic value set are obtained through sequential calculation by using a variation coefficient method, namely the first variation coefficient and the No. M variation coefficient are obtained, wherein the first variation coefficient and the No. M variation coefficient respectively correspond to the first screening index characteristic value set and the No. M screening index characteristic value set one by one.
Further, the index importance analysis is respectively carried out on the processing scheme screening evaluation indexes on the basis of all block chain nodes in the waste gas processing decision block chain in sequence, so that a first scoring result of a first block chain node and a second scoring result of a second block chain node are respectively obtained until an Nth scoring result of an Nth block chain node. And then inputting the first scoring result and the second scoring result obtained by calculation to the Nth scoring result into the importance weight distribution formula to generate an importance weight distribution result. The formula for carrying out weight distribution on the importance of screening evaluation indexes of the calculation processing scheme of each block chain node is as follows:
wherein (W) a ) i Weight of importance, x, representing the i-th index i The importance score of the ith index is represented, and n represents the nth blockchain node.
Further, the first variation coefficient up to the mth variation coefficient is input into the variation weight distribution formula, and the variation weight distribution result is obtained through calculation. Wherein, when the variation weight distribution is performed based on the first variation coefficient and up to the mth variation coefficient, the specific calculation method is as follows:
wherein ξ i (ii) the coefficient of variation of the i-th index, (W) b ) i The variation weight, σ, of the i-th index i Standard deviation of the set of characteristic values representing the i-th index, a i The mean of the set of eigenvalues representing the ith index.
And finally, adding the importance weight distribution result and the variation weight distribution result into the index weight distribution result to serve as weight values for subsequently calculating the scores of all the exhaust gas treatment schemes. The actual weight value of the screening evaluation index of the processing scheme is obtained based on the variation coefficient method and the importance evaluation, so that a weight basis is provided for the subsequent calculation of the comprehensive score of the processing scheme, and the technical effect of improving the calculation accuracy of the comprehensive score is further achieved.
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 value set;
step S700: and screening the waste gas treatment schemes according to the treatment scheme screening value sets to obtain selected waste gas treatment schemes, and sending the selected waste gas treatment schemes to workers for directional treatment of waste gas.
Specifically, based on an index weight distribution result of the processing scheme screening evaluation index obtained through comprehensive calculation and analysis, combined with a characteristic value of the processing scheme screening evaluation index, namely the screening index characteristic value set, a comprehensive score of each exhaust gas processing scheme in the exhaust gas processing scheme set is obtained through weighted calculation, and the processing scheme screening score set is formed, wherein the weighted calculation is that an importance weight and a variation weight are respectively used as independent weights to be weighted. And screening the comprehensive scores of all the waste gas treatment schemes in the score set by comparing the treatment schemes, and taking the waste gas treatment scheme with the maximum comprehensive score as the selected waste gas treatment scheme. The selected waste gas treatment scheme is a scheme finally used for treating the waste gas in the area to be detected, and is a targeted treatment scheme obtained through comprehensive analysis based on the actual situation of the waste gas. And sending the selected waste gas treatment scheme to a worker for providing a waste gas directional treatment guide when the waste gas in the region to be detected is treated. By comparing the screening values of the waste gas treatment schemes, the optimal waste gas treatment scheme is determined to treat the target waste gas, so that the reliability of the optimal decision of the selected waste gas treatment scheme is improved, and the scientific property and the reliability of the waste gas treatment are improved.
In summary, the exhaust gas directional processing method based on harmful substance detection provided by the invention has the following technical effects:
the method comprises the steps of carrying out waste gas detection on a region to be detected to obtain waste gas harmful substance information, wherein the waste gas harmful substance information comprises the type and concentration of the harmful substance; matching a waste gas treatment scheme set according to the harmful substance types; acquiring a screening evaluation index of a processing scheme; traversing the waste gas treatment scheme set and the concentration of the harmful substances, traversing the treatment scheme screening and evaluating indexes to evaluate the index characteristic value, and generating a screening index characteristic value set; carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain an index weight distribution result; 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 value sets to obtain selected waste gas treatment schemes, and sending the selected waste gas treatment schemes to workers for directional treatment of waste gas. 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 then screening evaluation indexes of the treatment schemes are obtained through analysis, so that an evaluation index basis is provided for the subsequent traversal of the waste gas treatment schemes and the scientific, comprehensive and objective evaluation of each waste gas treatment scheme, and a basis is further provided for the accuracy of the screening scores of the subsequent treatment schemes. In addition, the screening index characteristic value is obtained in a qualitative and quantitative combined mode, and the technical effect of comprehensively improving the reliability and the accuracy of the screening index characteristic value is achieved. And finally, the optimal waste gas treatment scheme is determined to carry out the treatment of the target waste gas by comparing the screening values of the waste gas treatment schemes, so that the reliability of the optimal decision of the selected waste gas treatment scheme is improved, and the technical effects of scientificalness and reliability of waste gas treatment are further improved.
Example two
Based on the same inventive concept as the directional exhaust gas treatment method based on harmful substance detection in the previous embodiment, the present invention further provides a directional exhaust gas treatment system based on harmful substance detection, which is used for implementing the directional exhaust gas treatment method based on harmful substance detection in the previous embodiment, and referring to fig. 5, the system includes:
the detection and analysis module M100 is used for detecting waste gas of a region to be detected and acquiring information of harmful substances in the waste gas, wherein the information of the harmful substances in the waste gas comprises types and concentrations of the harmful substances;
a matching obtaining module M200, the matching obtaining module M200 being configured to match a set of exhaust treatment schemes according to the type of the harmful substance;
the intelligent acquisition module M300 is used for acquiring a screening evaluation index of the processing scheme;
the evaluation generation module M400 is used for traversing the waste gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation indexes to evaluate the index characteristic value, and generating a screening index characteristic value set;
a weight determining module M500, where the weight determining module M500 is configured to perform weight distribution on the processing scheme screening evaluation indicators according to the screening indicator feature value set, and obtain an indicator weight distribution result;
the analysis calculation module M600 is used for 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 the selected execution module M700 is used for screening the waste gas treatment schemes according to the treatment scheme screening score sets, acquiring the selected waste gas treatment schemes, and sending the selected waste gas treatment schemes to workers for directional waste gas treatment.
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 block chain node, a second block chain link point and an Nth block chain link point according to an exhaust gas treatment decision block chain;
traversing the first screening index evaluation set and the second screening index evaluation 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 generation 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 submodel and a second submodel;
inputting the waste gas treatment scheme set and the harmful substance concentration into the first submodel to obtain a screening evaluation qualitative index characteristic value set;
inputting the waste gas treatment scheme set and the harmful substance concentration into the second submodel to obtain a screening evaluation quantitative index characteristic value set;
and adding the screening evaluation qualitative index characteristic value set and the screening evaluation quantitative index characteristic value set into the screening index characteristic value set.
Further, the evaluation generation module M400 in the system is further configured to:
classifying the screening evaluation indexes of the processing schemes to obtain screening evaluation qualitative indexes of the processing schemes and screening evaluation quantitative indexes of the processing schemes;
screening and evaluating qualitative indexes according to the processing scheme, and matching with a qualitative index characteristic value evaluation submodel to construct a data set;
screening and evaluating quantitative indexes according to the processing scheme, and matching quantitative index characteristic value evaluation submodels to construct a data set;
constructing a data set according to the qualitative index characteristic value evaluation submodel, and constructing the first submodel;
establishing a data set according to the quantitative index characteristic value evaluation submodel, and establishing the second submodel;
and combining the first sub-model and the second sub-model to generate the index characteristic value evaluation model.
Further, the evaluation generation module M400 in the system is further configured to:
screening and evaluating qualitative indexes according to the processing scheme, and matching a processing scheme record data set, a harmful substance concentration record data set and a qualitative index state record data set;
grading the qualitative index state recording data set to generate a qualitative index grading result;
and adding the processing scheme record data set, the harmful substance concentration record data set and the qualitative index grade division result into the qualitative index characteristic value evaluation submodel to construct a data set.
Further, the weight determination module M500 in the system is further configured to:
traversing the screening index characteristic value set 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 characteristic value set, a first variation coefficient is obtained;
obtaining an Mth variation coefficient according to the Mth screening index characteristic value set;
and carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the first variation coefficient till the Mth variation coefficient to obtain an index weight distribution result.
Further, the weight determination module M500 in the system is further configured to:
sending the processing scheme screening evaluation index to the first block chain node, the second block chain node point and the Nth block chain node, scoring the importance degree, and obtaining a first scoring result and a second scoring result and the Nth scoring result;
obtaining an importance weight distribution formula:
wherein (W) a ) i Weight of importance, x, representing the i-th index i Representing the importance score of the ith index, and n represents the nth block chain node;
inputting the first scoring result, the second scoring result and the Nth scoring result into the importance weight distribution formula to generate an importance weight distribution result;
obtaining a variation weight distribution formula:
wherein ξ i Coefficient of variation representing the ith index，(W b ) i The variation weight, σ, of the i-th index i Standard deviation of the set of characteristic values representing the i-th index, a i A mean value of the set of characteristic values representing the ith index;
inputting the first coefficient of variation to the Mth coefficient of variation into the distribution formula of variation weight to generate a distribution result of variation weight;
and adding the importance weight distribution result and the variation weight distribution result into the index weight distribution result.
In the present specification, each embodiment is described in a progressive manner, and the emphasis of each embodiment is on the difference from other embodiments, the method for directional processing of exhaust gas based on harmful substance detection in the first embodiment of fig. 1 and the specific example are also applicable to the system for directional processing of exhaust gas based on harmful substance detection in the present embodiment, and through the foregoing detailed description of the method for directional processing of exhaust gas based on harmful substance detection, a person skilled in the art can clearly know that a system for directional processing of exhaust gas based on harmful substance detection in the present embodiment, so for the brevity of the description, detailed description is omitted 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 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 changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, it is intended that the present invention also include such modifications and variations.
Claims (8)
1. A directional exhaust gas treatment method based on harmful substance detection is characterized by comprising the following steps:
carrying out waste gas detection on 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;
matching a waste gas treatment scheme set according to the harmful substance types;
acquiring a screening evaluation index of a processing scheme;
traversing the waste gas treatment scheme set and the concentration of the harmful substances, traversing the treatment scheme screening and evaluating indexes to evaluate the index characteristic value, and generating a screening index characteristic value set;
carrying out weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain an index weight distribution result;
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 value sets to obtain selected waste gas treatment schemes, and sending the selected waste gas treatment schemes to workers for directional treatment of waste gas.
2. The method of claim 1, wherein the method employs a targeted exhaust treatment system based on pollutant detection, the system including a user side, the system being a blockchain node of a decision blockchain for exhaust treatment, and the obtaining a treatment protocol screening evaluation index includes:
uploading a first screening index evaluation set, a second screening index set and an Nth screening index set from a first block chain node, a second block chain link point and an Nth block chain link point according to an exhaust gas treatment decision block chain;
traversing the first screening index evaluation set and the second screening index evaluation 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 1, wherein traversing the set of exhaust treatment options and the concentration of the hazardous substance, traversing the treatment option screening evaluation indicators for index feature value evaluation, and generating a set of screening indicator feature values comprises:
acquiring an index characteristic value evaluation model, wherein the index characteristic value evaluation model comprises a first submodel and a second submodel;
inputting the waste gas treatment scheme set and the harmful substance concentration into the first submodel to obtain a screening evaluation qualitative index characteristic value set;
inputting the waste gas treatment scheme set and the harmful substance concentration into the second submodel to obtain a screening evaluation quantitative index characteristic value set;
and adding the screening evaluation qualitative index characteristic value set and the screening evaluation quantitative index characteristic value set into the screening index characteristic value set.
4. The method of claim 3, wherein obtaining an index feature value evaluation model comprises:
classifying the screening and evaluating indexes of the processing schemes to obtain screening and evaluating qualitative indexes of the processing schemes and screening and evaluating quantitative indexes of the processing schemes;
screening and evaluating qualitative indexes according to the processing scheme, and matching with a qualitative index characteristic value evaluation submodel to construct a data set;
screening and evaluating quantitative indexes according to the processing scheme, matching quantitative index characteristic value evaluation submodels and constructing a data set;
constructing a data set according to the qualitative index characteristic value evaluation submodel, and constructing the first submodel;
establishing a data set according to the quantitative index characteristic value evaluation submodel, and establishing the second submodel;
and combining the first sub-model and the second sub-model to generate the index characteristic value evaluation model.
5. The method of claim 4, wherein screening the assessment qualitative index according to the processing scheme, matching a qualitative index feature value assessment submodel to construct a data set, comprises:
screening and evaluating qualitative indexes according to the processing scheme, and matching a processing scheme record data set, a harmful substance concentration record data set and a qualitative index state record data set;
grading the qualitative index state recording data set to generate a qualitative index grading result;
and adding the processing scheme record data set, the harmful substance concentration record data set and the qualitative index grade division result into the qualitative index characteristic value evaluation submodel to construct a data set.
6. The method of claim 2, wherein the performing weight distribution on the processing scheme screening evaluation index according to the screening index feature value set to obtain an index weight distribution result comprises:
traversing the screening index characteristic value set 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 characteristic value set, a first variation coefficient is obtained;
obtaining an Mth variation coefficient according to the Mth screening index characteristic value set;
and carrying out weight distribution on the processing scheme screening evaluation indexes according to the first variation coefficient until the Mth variation coefficient to obtain an index weight distribution result.
7. The method of claim 6, wherein the obtaining the index weight distribution result by performing weight distribution on the processing scheme screening evaluation index according to the first coefficient of variation up to the mth coefficient of variation comprises:
sending the processing scheme screening evaluation index to the first block chain node, the second block chain node point and the Nth block chain node, scoring the importance degree, and obtaining a first scoring result and a second scoring result and the Nth scoring result;
obtaining an importance weight distribution formula:
wherein (w) a ) i Weight of importance, x, representing the i-th index i The importance degree score of the ith index is represented, and n represents the nth block chain node;
inputting the first scoring result, the second scoring result and the Nth scoring result into the importance weight distribution formula to generate an importance weight distribution result;
obtaining a variation weight distribution formula:
wherein ξ i The coefficient of variation of the ith index (w) b ) i The variation weight, σ, representing the ith index i Standard deviation of the set of characteristic values representing the i-th index, a i A mean value of a set of eigenvalues representing the ith index;
inputting the first coefficient of variation to the Mth coefficient of variation into the distribution formula of variation weight to generate a distribution result of variation weight;
and adding the importance weight distribution result and the variation weight distribution result into the index weight distribution result.
8. A directional exhaust gas treatment system based on hazardous substance detection, comprising:
the detection and analysis module is used for carrying out waste gas detection on 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;
a matching obtaining module for matching a set of exhaust treatment schemes according to the type of the harmful substance;
the intelligent acquisition module is used for acquiring screening evaluation indexes of the processing scheme;
the evaluation generation module is used for traversing the waste gas treatment scheme set and the harmful substance concentration, traversing the treatment scheme screening evaluation indexes to evaluate the index characteristic values, and generating a screening index characteristic value set;
the weight determining module is used for performing weight distribution on the screening evaluation indexes of the processing scheme according to the screening index characteristic value set to obtain an index weight distribution result;
the analysis and calculation module is used for 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 the selected execution module is used for screening the waste gas treatment scheme according to the treatment scheme screening value set, acquiring the selected waste gas treatment scheme, and sending the selected waste gas treatment scheme to a worker for directional treatment of the waste gas.
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