CN115219682B - River course water environment treatment monitoring analysis system based on artificial intelligence - Google Patents
River course water environment treatment monitoring analysis system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a river water environment treatment monitoring and analysis system based on artificial intelligence, which comprises a river water area dividing module, a river water area water environment monitoring and analysis module, a river water and river bed change monitoring and analysis module, a river water bank plant growth monitoring and analysis module, a river water treatment display terminal and a cloud storage. By monitoring and analyzing the variation degree of the river bed, the water storage condition of the river channel is reflected more intuitively, desertification of the river bank is avoided, the sewage dilution capability of the river channel is guaranteed, a reliable environment foundation is provided for vegetation growth, meanwhile, the safety of sewage discharge is improved, and adverse effects on the water condition of a downstream area of the river channel are effectively avoided; and the secondary pollution of the water body caused by the fact that pollutants adsorbed on the surface of the sediment are released into the water flow again is avoided, and the happiness index and the safety index of the life of surrounding residents are greatly improved.
Description
Technical Field
The invention relates to the technical field of river water treatment monitoring, in particular to a river water environment treatment monitoring analysis system based on artificial intelligence.
Background
The urban river pollution mainly comes from untreated industrial wastewater, domestic sewage, farmland drainage and other harmful substances directly or indirectly enter the river water, so that the water quality environment of the river water is disturbed, the self-cleaning capacity of the river water is reduced, and further the water quality is deteriorated. The serious pollution of the urban river not only affects the normal development of the city, but also forms serious threat to the health of urban residents and urban ecological safety, thereby highlighting the importance of river water environment treatment.
At present, when monitoring and analyzing the river water environment, the method mainly monitors and analyzes the water quality environment of the river water, has single analysis dimension, and obviously, the prior art has the following defects:
at present, when the river water environment is monitored and analyzed, the growth of algae and the change of the riverbed of the river are not monitored only by monitoring and analyzing the water level of the river, such as the pH value of the water and the type of algae in the water, but also the change of the riverbed directly reflects the water storage condition of the river, and the environmental protection, the water quality and the like are greatly affected, and the method is specifically characterized in that:
A. the water level of the river bed is reduced or the river is narrowed, so that the water storage capacity of the river is reduced, the diluting capacity of the river to sewage is reduced, and the safety of sewage discharge and the influence of the sewage discharge on the environment cannot be reduced;
B. the water level of the river bed is reduced or the river channel is narrowed, so that the desertification of the soil on the river bank is serious, the vegetation is unfavorable to grow, meanwhile, the difficulty in urban water drainage is aggravated, the flow direction of the river channel is possibly changed, and the water condition of the downstream area of the river channel is influenced to a certain extent;
C. the river bed water level rises or the river channel widens, and sudden changes such as skimming and beach cutting easily occur in the river bend section, so that river channel flushing and silting changes, further pollutants adsorbed on the surface of sediment are released into water again to cause secondary pollution of water body, and meanwhile, certain hidden danger is caused for life safety of surrounding residents.
At present, when the river water environment is monitored and analyzed, the growth conditions of woody plants and herbaceous plants on two sides are not analyzed, so that environmental monitoring from the biological angle is lacked, the water body condition of the river water cannot be comprehensively reflected, the comprehensive influence of water body environmental pollution on the plants on two sides cannot be reflected, the sensitivity is low, and the river water environment cannot be timely protected and treated.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a river water environment treatment monitoring and analyzing system based on artificial intelligence, which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme:
an artificial intelligence-based river water environment treatment monitoring and analysis system comprises:
the river water region dividing module is used for dividing the river water region into regions according to a planar gridding dividing mode to obtain each water region to be monitored, and sequentially numbering each water region to be monitored into 1,2 according to a preset sequence;
the river water area water environment monitoring and analyzing module is used for monitoring the water environment of each water area to be monitored through automatic monitoring equipment and analyzing water quality evaluation coefficients corresponding to each water area to be monitored;
the river water and river bed change monitoring analysis module is used for monitoring the river bed change of each water area to be monitored through automatic monitoring equipment and analyzing to obtain a river bed change degree coefficient corresponding to each water area to be monitored;
the river water bank plant growth monitoring analysis module is used for dividing the river water bank into left and right bank subareas according to a set dividing mode, monitoring the growth of plants in the left and right bank subareas, and further respectively analyzing the plants to obtain plant growth evaluation coefficients corresponding to the left and right bank subareas, wherein the river water bank plant growth monitoring analysis module comprises a two-bank plant information acquisition unit and a two-bank plant growth analysis unit;
the river water treatment analysis module is used for carrying out river water treatment demand analysis on each water region to be monitored, each left shore region and each right shore region to obtain each demand treatment region set;
the river water treatment display terminal is used for displaying the set of each demand treatment area;
the cloud storage is used for storing the reference oxygen content, the reference phosphorus content, the reference nitrogen content, the reference pH value and the reference temperature corresponding to the river water body, storing the number of the herbal plant types, the initial number of the herbal plant types and the initial concentration of the herbal plant types which initially exist in each left bank subarea and each right bank subarea, and storing the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to each water area to be monitored.
As a preferable scheme, the automatic monitoring equipment comprises an intelligent high-definition camera, water quality detection equipment and a root system analyzer.
As a preferred scheme, the specific analysis process of the water quality evaluation coefficient corresponding to each water area to be monitored is as follows:
the water quality detection equipment in the automatic monitoring equipment is used for collecting the oxygen content, the phosphorus content, the nitrogen content, the pH value and the temperature corresponding to each water area to be monitored, and comprehensively analyzing to obtain a water body evaluation index phi corresponding to each water area to be monitored i I is denoted as the number corresponding to the water area to be monitored, i=1, 2.
The algae images corresponding to the water areas to be monitored are acquired through the intelligent high-definition cameras in the automatic monitoring equipment, the quantity of algae types in the water areas to be monitored is counted, the maximum growth height and the maximum growth area corresponding to the algae types are acquired, comprehensive analysis is further carried out, and the algae coverage index corresponding to the water areas to be monitored is obtained
Evaluating water body corresponding to each water area to be monitoredComprehensively analyzing the estimated index and the algae coverage index to obtain a water quality estimated coefficient eta corresponding to each water area to be monitored i 。
As a preferable scheme, the river bed change monitoring analysis is carried out on each water area to be monitored, and the specific analysis steps are as follows:
the intelligent camera in the automatic monitoring equipment is used for collecting the height, width and area of the river bed in each water area to be monitored, and comprehensively analyzing the height, width and area to obtain the corresponding river bed change degree coefficient of each water area to be monitored, wherein the specific calculation formula is as followsζ i Expressed as a coefficient of variation degree, gd of the river bed corresponding to the ith water area to be monitored i 、kd i 、mj i Respectively expressed as the height, width and area of the river bed corresponding to the ith water area to be monitored,the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to the ith water area to be monitored are respectively represented, and u1, u2 and u3 are respectively represented as weight factors corresponding to the preset riverbed height, width and area.
As a preferred solution, the two-bank plant information obtaining unit is configured to obtain basic information of two-bank plants in river water, and the specific steps are as follows:
dividing the river water bank into a left bank and a right bank according to a preset direction, uniformly dividing the left bank and the right bank of the river water into left bank subareas and right bank subareas according to a preset area, and sequentially numbering the left bank subareas as 1,2 according to a preset sequence, f, k, and sequentially numbering the right bank subareas as 1',2 according to a preset sequence, f, k;
acquiring images of shore plants corresponding to each left shore subregion and each right shore subregion through an intelligent high-definition camera in automatic monitoring equipment, and respectively acquiring herbal plant information and woody plant information from the images, wherein the herbal plant information comprises the types and the densities of the herbal plants, and the woody plant information comprises the types and the trees corresponding to the woody plants;
detecting root systems corresponding to all trees in all kinds of woody plants through a root system analyzer, and obtaining total root length, total root volume and root tip number of all trees corresponding to all kinds of woody plants in each left shore sub-area and each right shore sub-area;
the intelligent high-definition camera is used for collecting leaf images of all kinds of woody plants corresponding to all trees in each left shore sub-area and each right shore sub-area, counting the number of the existing leaves, and simultaneously obtaining the thickness, the area and the chromaticity of all leaves of all kinds of woody plants corresponding to all trees in each left shore sub-area and each right shore sub-area.
As a preferred scheme, the two-shore plant growth analysis unit comprises a two-shore woody plant growth analysis subunit, a two-shore herbaceous plant growth analysis subunit and a two-shore plant comprehensive growth analysis subunit.
As a preferred scheme, the two-shore woody plant growth analysis subunit is configured to analyze woody plant growth evaluation indexes corresponding to each left shore sub-area and each right shore sub-area, and specifically analyze as follows:
according to the formulaCalculating root growth evaluation indexes corresponding to various woody plants in each left bank subarea, and performing ∈10->Expressed as root growth evaluation index corresponding to the b-th woody plant in the f-th left shore sub-area, f expressed as the number of the left shore sub-area, f=1, 2,..>Respectively expressed as the total root length and total root length of the c-th tree corresponding to the b-th woody plant in the f-th left bank subregionVolume, root tip number, c is expressed as the number of trees, c=1, 2. b 、V′ b 、J′ b Respectively expressed as setting the total length of the reference root, the total volume of the reference root and the number of the reference root tips corresponding to the b-th woody plant,/->Respectively representing correction factors corresponding to the total length, total volume and root tip number of the root of the preset b-th woody plant;
according to the formulaCalculating leaf growth evaluation index corresponding to each woody plant in each left bank subregion, and adding ∈10->Expressed as leaf growth evaluation index corresponding to the b-th woody plant in the f-th left bank subregion,/->The thickness, the area and the chromaticity of the tree leaves of the r pieces of tree leaves on the corresponding tree of the c pieces of woody plants in the b of the f left bank subregion are respectively expressed, r is the number of the tree leaves, and r=1, 2. b 、M′ b 、S′ b Respectively expressed as setting the thickness, the area and the chromaticity of the reference leaves corresponding to the b-th woody plant, ">Respectively representing correction factors corresponding to the thickness, the area and the chromaticity of the leaves of the preset b-th woody plant;
comprehensively analyzing root growth evaluation indexes and leaf growth evaluation indexes corresponding to various woody plants in each left shore region to obtain woody plant growth evaluation indexes MB corresponding to each left shore region f And calculating woody plant growth evaluation index MB 'corresponding to each type of woody plant in each right bank subregion according to the same calculation steps' f′ F 'is denoted as the number of each right bank subregion, f' =1 ',2',.
As a preferred scheme, the two-shore herbaceous plant growth analysis subunit is used for analyzing herbaceous plant growth evaluation indexes corresponding to each left shore sub-area and each right shore sub-area, and the specific analysis is as follows:
comparing various herbaceous plants in each left bank subarea with initial herbaceous plant types stored in a cloud storage library to obtain the quantity of herbaceous plant types, consistent with the initial herbaceous plant types, of each left bank subarea;
according to the formulaCalculating the growth evaluation index, CB, of the herbaceous plants corresponding to each left shore region f Herb growth evaluation index expressed as f-th left shore sub-region,/for>Expressed as the number difference corresponding to the y-th herbaceous plant in the f-th left shore sub-area, y expressed as the number of herbaceous plants, y=1, 2. y Expressed as the allowable difference corresponding to the y-th herbaceous plant,/->Expressed as the corresponding density of the y-th herbaceous plant in the f-th left bank subregion,/>The initial concentration degree corresponding to the y-th herbaceous plant in the f left bank subregion is represented, and tau 7 and tau 8 are respectively represented as preset difference values and correction factors corresponding to the herbaceous plant species concentration degree;
simultaneously, according to the same analysis steps, obtaining herbal plant growth evaluation index CB 'corresponding to each right shore region' f′ 。
As a preferred scheme, the two-shore plant comprehensive growth analysis subunit is used for analyzing plant growth evaluation coefficients corresponding to each left shore sub-area and each right shore sub-area, and the specific analysis steps are as follows:
comprehensively analyzing the herbal plant growth evaluation index and woody plant growth evaluation index corresponding to each left shore region to obtain plant growth evaluation coefficients zeta corresponding to each left shore region f Comprehensively analyzing according to the same analysis mode to obtain plant growth evaluation coefficients xi 'corresponding to each right shore region' f′ 。
As a preferred scheme, the river water treatment demand analysis is performed on each water area to be monitored, each left shore sub-area and each right shore sub-area, and the specific analysis steps are as follows:
comparing the water quality evaluation coefficients corresponding to the water areas to be monitored with a preset water quality evaluation coefficient threshold value, and judging that the water area to be monitored is a demand treatment area if the water quality evaluation coefficient corresponding to a certain water area to be monitored is smaller than the preset water quality evaluation coefficient threshold value;
comparing the plant growth evaluation coefficients corresponding to the left shore sub-areas and the plant growth evaluation coefficients corresponding to the right shore sub-areas with preset plant growth evaluation coefficient thresholds respectively, and judging the left shore sub-areas or the right shore sub-areas as the required treatment areas if the plant growth evaluation coefficients corresponding to the left shore sub-areas or the plant growth evaluation coefficients corresponding to the right shore sub-areas are smaller than the preset plant growth evaluation coefficient thresholds;
and comparing the river bed change degree coefficient corresponding to each water area to be monitored with a preset river bed change degree coefficient threshold value, and judging the water area to be monitored as a demand treatment area if the river bed change degree coefficient corresponding to a certain water area to be monitored is larger than the preset river bed change degree coefficient threshold value, so that each demand treatment area set is obtained.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
according to the invention, the water environment of the river is monitored and treated and analyzed from the change of the river bed, the water quality of the river and the plant growth information on the two sides of the river, so that multi-view monitoring with the river bed as the center and the two sides as the divergence areas is realized, the rationality and the comprehensiveness of the water environment treatment and analysis of the river are improved, the water body evaluation index and the algae coverage index corresponding to the water area to be monitored are comprehensively analyzed, the reliability and the referential of the analysis result are improved, and the error generated in the current monitoring and analysis of the water environment of the river is effectively avoided.
According to the invention, the change degree of the river bed is monitored and analyzed to obtain the change degree coefficient of the river bed, so that the water storage condition of the river channel is reflected more intuitively, on one hand, when the water level of the river bed becomes low or the river channel becomes narrow, the river bed condition is displayed to relevant personnel timely, the desertification of the river bank is avoided, the sewage dilution capacity of the river channel is ensured, a reliable environment foundation is provided for vegetation growth, meanwhile, the safety of sewage discharge is also improved, and the adverse effect on the water condition in the downstream area of the river channel is effectively avoided; on the other hand, when the water level of the river bed rises or the river channel widens, relevant personnel can know the condition of the river bed in time conveniently, and further, the secondary pollution of the water body caused by the fact that pollutants adsorbed on the surface of sediment are released into water flow again is avoided, and the happiness index and the safety index of the life of surrounding residents are greatly improved.
According to the invention, the woody plant growth evaluation index and the herbaceous plant growth evaluation index corresponding to the two-bank areas are comprehensively analyzed to obtain the plant growth evaluation coefficient corresponding to the two-bank areas, so that the multi-dimensional monitoring of the river water environment is realized, the growth trend and the growth state of the river water environment plants are displayed, the water body condition of the river water is comprehensively reflected, the comprehensive influence of the water body environmental pollution on the two-bank plants is accurately reflected, the sensitivity of the river water environment monitoring is greatly improved, and the river water environment is protected and treated more timely.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic diagram of the system module connection of the present invention.
FIG. 2 is a schematic connection diagram of a river course water bank plant growth monitoring analysis module according to the present invention.
FIG. 3 is a schematic diagram showing the connection of plant growth analysis units on both sides of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
Referring to fig. 1, the invention provides an artificial intelligence-based river water environment treatment monitoring and analysis system, which comprises a river water area dividing module, a river water area water environment monitoring and analysis module, a river water and river bed change monitoring and analysis module, a river water bank plant growth monitoring and analysis module, a river water treatment display terminal and a cloud storage.
The river water area dividing module is respectively connected with the river water area water environment monitoring and analyzing module and the river water and river bed change monitoring and analyzing module, and the river water area water environment monitoring and analyzing module, the river water and river bed change monitoring and analyzing module and the river water bank plant growth monitoring and analyzing module are connected with the river water treatment analyzing module and the cloud storage, and the river water treatment analyzing module is connected with the river water treatment display terminal.
The river water region dividing module is used for dividing the river water region into regions according to a planar gridding dividing mode to obtain each water region to be monitored, and sequentially numbering each water region to be monitored into 1,2 according to a preset sequence.
The river water area water environment monitoring and analyzing module is used for monitoring the water environment of each water area to be monitored through automatic monitoring equipment and analyzing water quality evaluation coefficients corresponding to each water area to be monitored.
As a preferable scheme, the automatic monitoring equipment comprises an intelligent high-definition camera, water quality detection equipment and a root system analyzer.
In a specific embodiment, the root analyzer may directly obtain the total root length, total root volume, and root tip number of the plant.
As a preferred scheme, the specific analysis process of the water quality evaluation coefficient corresponding to each water area to be monitored is as follows:
the water quality detection equipment in the automatic monitoring equipment is used for collecting the oxygen content, the phosphorus content, the nitrogen content, the pH value and the temperature corresponding to each water area to be monitored, and comprehensively analyzing to obtain a water body evaluation index phi corresponding to each water area to be monitored i I is denoted as the number corresponding to the water area to be monitored, i=1, 2.
It should be noted that, the water body evaluation index calculation formula corresponding to each water area to be monitored is as follows
hy i 、hl i 、hd i 、sj i 、wd i The oxygen content, the phosphorus content, the nitrogen content, the pH value and the temperature corresponding to the ith water area to be monitored are respectively expressed as reference oxygen content, reference phosphorus content, reference nitrogen content, reference pH value and reference temperature, and a1, a2, a3, a4 and a5 are respectively expressed as coefficient factors corresponding to the set oxygen content, phosphorus content, nitrogen content, pH value and temperature.
The algae images corresponding to the water areas to be monitored are acquired through the intelligent high-definition cameras in the automatic monitoring equipment, the quantity of algae types in the water areas to be monitored is counted, the maximum growth height and the maximum growth area corresponding to the algae types are acquired, comprehensive analysis is further carried out, and the algae coverage index corresponding to the water areas to be monitored is obtained
It should be noted that, the specific calculation formula of the algae coverage index corresponding to each water area to be monitored is as follows Expressed as the corresponding algae coverage index of the ith water area to be monitored,/->Expressed as the maximum growth height corresponding to the j-th algae species in the i-th water area to be monitored, j expressed as the number corresponding to the algae species, j=1, 2,..>Expressed as the growth area, zg ', corresponding to the jth algae species in the ith water area to be monitored' j 、zs′ j Respectively expressed as setting the reference growth height and the reference growth area corresponding to the jth algae type.
Comprehensively analyzing the water body evaluation index and the algae coverage index corresponding to each water area to be monitored to obtain a water quality evaluation coefficient eta corresponding to each water area to be monitored i 。
It should be noted that, the specific calculation formula of the water quality evaluation coefficient corresponding to each water area to be monitored is as followsη i And the water quality evaluation coefficient corresponding to the ith water area to be monitored is represented, and beta 1 and beta 2 are respectively represented as influence factors corresponding to preset water body evaluation indexes and algae coverage indexes.
According to the invention, the water environment of the river is monitored and treated and analyzed from the change of the river bed, the water quality of the river and the plant growth information on the two sides of the river, so that multi-view monitoring with the river bed as the center and the two sides as the divergence areas is realized, the rationality and the comprehensiveness of the water environment treatment and analysis of the river are improved, the water body evaluation index and the algae coverage index corresponding to the water area to be monitored are comprehensively analyzed, the reliability and the referential of the analysis result are improved, and the error generated in the current monitoring and analysis of the water environment of the river is effectively avoided.
And the riverway water riverbed change monitoring and analyzing module is used for monitoring riverbed changes of all the water areas to be monitored through automatic monitoring equipment and analyzing to obtain riverbed change degree coefficients corresponding to the water areas to be monitored.
As a preferable scheme, the river bed change monitoring analysis is carried out on each water area to be monitored, and the specific analysis steps are as follows:
the intelligent camera in the automatic monitoring equipment is used for collecting the height, width and area of the river bed in each water area to be monitored, and comprehensively analyzing the height, width and area to obtain the corresponding river bed change degree coefficient of each water area to be monitored, wherein the specific calculation formula is as followsζ i Expressed as a coefficient of variation degree, gd of the river bed corresponding to the ith water area to be monitored i 、kd i 、mj i Respectively expressed as the height, width and area of the river bed corresponding to the ith water area to be monitored,the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to the ith water area to be monitored are respectively represented, and u1, u2 and u3 are respectively represented as weight factors corresponding to the preset riverbed height, width and area.
It should be noted that, the river bed change degree coefficient corresponding to each water area to be monitored can accurately judge the specific condition of the river water corresponding to each water area to be monitored, if the river bed change degree coefficient corresponding to a certain water area to be monitored is greater than the preset river bed change degree coefficient threshold, the water area to be monitored may have the situation of too large fluctuation or dryness, so that the river water feedback can be timely performed to the relevant governors.
According to the invention, the change degree of the river bed is monitored and analyzed to obtain the change degree coefficient of the river bed, so that the water storage condition of the river channel is reflected more intuitively, on one hand, when the water level of the river bed becomes low or the river channel becomes narrow, the river bed condition is displayed to relevant personnel timely, the desertification of the river bank is avoided, the sewage dilution capacity of the river channel is ensured, a reliable environment foundation is provided for vegetation growth, meanwhile, the safety of sewage discharge is also improved, and the adverse effect on the water condition in the downstream area of the river channel is effectively avoided; on the other hand, when the water level of the river bed rises or the river channel widens, relevant personnel can know the condition of the river bed in time conveniently, and further, the secondary pollution of the water body caused by the fact that pollutants adsorbed on the surface of sediment are released into water flow again is avoided, and the happiness index and the safety index of the life of surrounding residents are greatly improved.
Referring to fig. 2, the river water bank plant growth monitoring and analyzing module is configured to divide a river water bank into left and right bank subregions according to a set division manner, and monitor growth of plants in the left and right bank subregions, and further analyze the plants to obtain plant growth evaluation coefficients corresponding to the left and right bank subregions, where the river water bank plant growth monitoring and analyzing module includes two-bank plant information acquisition units and two-bank plant growth analysis units.
As a preferred solution, the two-bank plant information obtaining unit is configured to obtain basic information of two-bank plants in river water, and the specific steps are as follows:
dividing the river water bank into a left bank and a right bank according to a preset direction, uniformly dividing the left bank and the right bank of the river water into left bank subareas and right bank subareas according to a preset area, and sequentially numbering the left bank subareas as 1,2 according to a preset sequence, f, k, and sequentially numbering the right bank subareas as 1',2 according to a preset sequence, f, k;
acquiring images of shore plants corresponding to each left shore subregion and each right shore subregion through an intelligent high-definition camera in automatic monitoring equipment, and respectively acquiring herbal plant information and woody plant information from the images, wherein the herbal plant information comprises the types and the densities of the herbal plants, and the woody plant information comprises the types and the trees corresponding to the woody plants;
detecting root systems corresponding to all trees in all kinds of woody plants through a root system analyzer, and obtaining total root length, total root volume and root tip number of all trees corresponding to all kinds of woody plants in each left shore sub-area and each right shore sub-area;
the intelligent high-definition camera is used for collecting leaf images of all kinds of woody plants corresponding to all trees in each left shore sub-area and each right shore sub-area, counting the number of the existing leaves, and simultaneously obtaining the thickness, the area and the chromaticity of all leaves of all kinds of woody plants corresponding to all trees in each left shore sub-area and each right shore sub-area.
Referring to fig. 3, the two-shore plant growth analysis unit includes a two-shore woody plant growth analysis subunit, a two-shore herbal plant growth analysis subunit, and a two-shore plant comprehensive growth analysis subunit.
The two-shore woody plant growth analysis subunit is used for analyzing woody plant growth evaluation indexes corresponding to each left shore sub-area and each right shore sub-area, and the specific analysis is as follows:
according to the formulaCalculating root growth evaluation indexes corresponding to various woody plants in each left bank subarea, and performing ∈10->Expressed as root growth evaluation index corresponding to the b-th woody plant in the f-th left shore sub-area, f expressed as the number of the left shore sub-area, f=1, 2,..>Respectively expressed as the total root length, total root volume and root tip number of the c-th tree corresponding to the b-th woody plant in the f-th left bank subregion, c is expressed as the number of the tree, c=1,2,......,g,L′ b 、V′ b 、J′ b Respectively expressed as setting the total length of the reference root, the total volume of the reference root and the number of the reference root tips corresponding to the b-th woody plant,/->Respectively representing correction factors corresponding to the total length, total volume and root tip number of the root of the preset b-th woody plant;
according to the formulaCalculating leaf growth evaluation index corresponding to each woody plant in each left bank subregion, and adding ∈10->Expressed as leaf growth evaluation index corresponding to the b-th woody plant in the f-th left bank subregion,/->The thickness, the area and the chromaticity of the tree leaves of the r pieces of tree leaves on the corresponding tree of the c pieces of woody plants in the b of the f left bank subregion are respectively expressed, r is the number of the tree leaves, and r=1, 2. b 、M′ b 、S′ b Respectively expressed as setting the thickness, the area and the chromaticity of the reference leaves corresponding to the b-th woody plant, ">Respectively representing correction factors corresponding to the thickness, the area and the chromaticity of the leaves of the preset b-th woody plant;
comprehensively analyzing root growth evaluation indexes and leaf growth evaluation indexes corresponding to various woody plants in each left shore region to obtain woody plant growth evaluation indexes MB corresponding to each left shore region f 。
The specific calculation formula of the woody plant growth evaluation index corresponding to each left shore region is as followsSigma 1 and Sigma 2 are respectively expressed as influence factors corresponding to preset root growth evaluation indexes and leaf growth evaluation indexes.
According to the calculation steps of the woody plant growth evaluation indexes corresponding to the left shore regions, calculating woody plant growth evaluation indexes MB 'corresponding to the woody plants in the right shore regions' f′ F 'is denoted as the number of each right bank subregion, f' =1 ',2',.
As a preferred scheme, the two-shore herbaceous plant growth analysis subunit is used for analyzing herbaceous plant growth evaluation indexes corresponding to each left shore sub-area and each right shore sub-area, and the specific analysis is as follows:
comparing various herbaceous plants in each left bank subarea with initial herbaceous plant types stored in a cloud storage library to obtain the quantity of herbaceous plant types, consistent with the initial herbaceous plant types, of each left bank subarea;
according to the formulaCalculating the growth evaluation index, CB, of the herbaceous plants corresponding to each left shore region f Herb growth evaluation index expressed as f-th left shore sub-region,/for>Expressed as the number difference corresponding to the y-th herbaceous plant in the f-th left shore sub-area, y expressed as the number of herbaceous plants, y=1, 2. y Expressed as the allowable difference corresponding to the y-th herbaceous plant,/->Expressed as the corresponding density of the y-th herbaceous plant in the f-th left bank subregion,/>Expressed as the initial density corresponding to the y-th herbaceous plant in the f-th left shore sub-area,τ7 and τ8 are respectively represented as correction factors corresponding to preset difference values and the densities of the types of the herbaceous plants;
simultaneously analyzing and obtaining the herbal plant growth evaluation index CB 'corresponding to each right shore sub-area according to the same analysis steps of the herbal plant growth evaluation indexes corresponding to each left shore sub-area' f′ 。
As a preferred scheme, the two-shore plant comprehensive growth analysis subunit is used for analyzing plant growth evaluation coefficients corresponding to each left shore sub-area and each right shore sub-area, and the specific analysis steps are as follows:
comprehensively analyzing the herbal plant growth evaluation index and woody plant growth evaluation index corresponding to each left shore region to obtain plant growth evaluation coefficients zeta corresponding to each left shore region f 。
The specific calculation formula of the plant growth evaluation coefficient corresponding to each left shore sub-region is xi f =MB f ·σ3+CB f Sigma 4, sigma 3, sigma 4 are respectively expressed as the influence factors corresponding to the preset woody plant growth evaluation index and the herbaceous plant growth evaluation index.
Simultaneously comprehensively analyzing according to the analysis mode of the plant growth evaluation coefficients corresponding to the left shore regions to obtain plant growth evaluation coefficients xi 'corresponding to the right shore regions' f′ 。
According to the invention, the woody plant growth evaluation index and the herbaceous plant growth evaluation index corresponding to the two-bank areas are comprehensively analyzed to obtain the plant growth evaluation coefficient corresponding to the two-bank areas, so that the multi-dimensional monitoring of the river water environment is realized, the growth trend and the growth state of the river water environment plants are displayed, the water body condition of the river water is comprehensively reflected, the comprehensive influence of the water body environmental pollution on the two-bank plants is accurately reflected, the sensitivity of the river water environment monitoring is greatly improved, and the river water environment is protected and treated more timely.
The river water treatment analysis module is used for carrying out river water treatment demand analysis on each water area to be monitored, each left shore sub-area and each right shore sub-area to obtain each demand treatment area set.
As a preferred scheme, the river water treatment demand analysis is performed on each water area to be monitored, each left shore sub-area and each right shore sub-area, and the specific analysis steps are as follows:
comparing the water quality evaluation coefficients corresponding to the water areas to be monitored with a preset water quality evaluation coefficient threshold value, and judging that the water area to be monitored is a demand treatment area if the water quality evaluation coefficient corresponding to a certain water area to be monitored is smaller than the preset water quality evaluation coefficient threshold value;
comparing the plant growth evaluation coefficients corresponding to the left shore sub-areas and the plant growth evaluation coefficients corresponding to the right shore sub-areas with preset plant growth evaluation coefficient thresholds respectively, and judging the left shore sub-areas or the right shore sub-areas as the required treatment areas if the plant growth evaluation coefficients corresponding to the left shore sub-areas or the plant growth evaluation coefficients corresponding to the right shore sub-areas are smaller than the preset plant growth evaluation coefficient thresholds;
and comparing the river bed change degree coefficient corresponding to each water area to be monitored with a preset river bed change degree coefficient threshold value, and judging the water area to be monitored as a demand treatment area if the river bed change degree coefficient corresponding to a certain water area to be monitored is larger than the preset river bed change degree coefficient threshold value, so that each demand treatment area set is obtained.
And the river water treatment display terminal is used for displaying the set of each demand treatment area.
It should be noted that, the purpose of displaying the set of each required treatment area is to make the river water treatment personnel more clearly understand the condition of each required treatment area, and then perform targeted treatment.
The cloud storage is used for storing the reference oxygen content, the reference phosphorus content, the reference nitrogen content, the reference pH value and the reference temperature corresponding to the river water body, storing the number of the herbal plant types, the initial number of the herbal plant types and the initial concentration of the herbal plant types which initially exist in each left bank subarea and each right bank subarea, and storing the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to each water area to be monitored.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (2)
1. River course water environment treatment monitoring analysis system based on artificial intelligence, characterized by comprising:
the river water region dividing module is used for dividing the river water region into regions according to a planar gridding dividing mode to obtain each water region to be monitored, and sequentially numbering each water region to be monitored into 1,2 according to a preset sequence;
the river water area water environment monitoring and analyzing module is used for monitoring the water environment of each water area to be monitored through automatic monitoring equipment and analyzing water quality evaluation coefficients corresponding to each water area to be monitored;
the specific analysis process of the water quality evaluation coefficient corresponding to each water area to be monitored is as follows:
the water quality detection equipment in the automatic monitoring equipment is used for collecting the oxygen content, the phosphorus content, the nitrogen content, the pH value and the temperature corresponding to each water area to be monitored, and comprehensively analyzing to obtain a water body evaluation index phi corresponding to each water area to be monitored i I is denoted as the number corresponding to the water area to be monitored, i=1, 2.
The algae images corresponding to the water areas to be monitored are acquired through the intelligent high-definition cameras in the automatic monitoring equipment, the quantity of algae types in the water areas to be monitored is counted, the maximum growth height and the maximum growth area corresponding to the algae types are acquired, comprehensive analysis is further carried out, and the algae coverage index corresponding to the water areas to be monitored is obtained
Comprehensively analyzing the water body evaluation index and the algae coverage index corresponding to each water area to be monitored to obtain a water quality evaluation coefficient eta corresponding to each water area to be monitored i ;
The river water and river bed change monitoring analysis module is used for monitoring the river bed change of each water area to be monitored through automatic monitoring equipment and analyzing to obtain a river bed change degree coefficient corresponding to each water area to be monitored;
the river bed change monitoring analysis is carried out on each water area to be monitored, and the specific analysis steps are as follows:
the intelligent camera in the automatic monitoring equipment is used for collecting the height, width and area of the river bed in each water area to be monitored, and comprehensively analyzing the height, width and area to obtain the corresponding river bed change degree coefficient of each water area to be monitored, wherein the specific calculation formula is as followsζi is expressed as a coefficient of variation of the river bed corresponding to the ith water area to be monitored, gd i 、kd i 、mj i Respectively expressed as the height, width and area of the river bed corresponding to the ith water area to be monitored,the method comprises the steps of respectively representing an initial riverbed height, an initial riverbed width and an initial riverbed area corresponding to an ith water area to be monitored, and respectively representing weight factors corresponding to preset riverbed heights, widths and areas by u1, u2 and u 3;
the river water bank plant growth monitoring analysis module is used for dividing the river water bank into left and right bank subareas according to a set dividing mode, monitoring the growth of plants in the left and right bank subareas, and further respectively analyzing the plants to obtain plant growth evaluation coefficients corresponding to the left and right bank subareas, wherein the river water bank plant growth monitoring analysis module comprises a two-bank plant information acquisition unit and a two-bank plant growth analysis unit;
the two-bank plant information acquisition unit is used for acquiring basic information of two-bank plants of river water, and comprises the following specific steps:
dividing the river water bank into a left bank and a right bank according to a preset direction, uniformly dividing the left bank and the right bank of the river water into left bank subareas and right bank subareas according to a preset area, and sequentially numbering the left bank subareas as 1,2 according to a preset sequence, f, k, and sequentially numbering the right bank subareas as 1',2 according to a preset sequence, f, k;
acquiring images of shore plants corresponding to each left shore subregion and each right shore subregion through an intelligent high-definition camera in automatic monitoring equipment, and respectively acquiring herbal plant information and woody plant information from the images, wherein the herbal plant information comprises the types and the densities of the herbal plants, and the woody plant information comprises the types and the trees corresponding to the woody plants;
detecting root systems corresponding to all trees in all kinds of woody plants through a root system analyzer, and obtaining total root length, total root volume and root tip number of all trees corresponding to all kinds of woody plants in each left shore sub-area and each right shore sub-area;
acquiring leaf images of all kinds of woody plants corresponding to all trees in each left shore sub-area and each right shore sub-area through an intelligent high-definition camera, counting the number of the existing leaves, and simultaneously acquiring the thickness, the area and the chromaticity of all leaves of all kinds of woody plants corresponding to all trees in each left shore sub-area and each right shore sub-area;
the two-shore plant growth analysis unit comprises two-shore woody plant growth analysis subunits, two-shore herbal plant growth analysis subunits and two-shore plant comprehensive growth analysis subunits;
the two-shore woody plant growth analysis subunit is used for analyzing woody plant growth evaluation indexes corresponding to each left shore sub-area and each right shore sub-area, and the specific analysis is as follows:
according to the formulaCalculating root growth evaluation indexes corresponding to various woody plants in each left bank subarea, and performing ∈10->Expressed as root growth evaluation index corresponding to the b-th woody plant in the f-th left shore sub-area, f expressed as the number of the left shore sub-area, f=1, 2,..>Expressed as total root length, total root volume, root tip number of the c-th tree corresponding to the b-th woody plant in the f-th left shore sub-area, c is expressed as the number of the tree, c=1, 2 b ′、V b ′、J b ' respectively setting the total length of the reference root, the total volume of the reference root and the number of the reference root tips corresponding to the b-th woody plant,respectively representing correction factors corresponding to the total length, total volume and root tip number of the root of the preset b-th woody plant;
according to the formula
Calculating leaf growth evaluation index corresponding to each woody plant in each left bank subregion, and adding ∈10->Expressed as leaf growth evaluation index corresponding to the b-th woody plant in the f-th left bank subregion,/->Respectively expressed as thickness, area and chromaticity of the tree leaf of the (r) th piece on the (c) th tree corresponding to the woody plant in the (b) th left bank subregion, and r is expressed as the number of the tree leaf,r=1,2,......,x,H b ′、M b ′、S b ' respectively expressed as setting the thickness, the area and the chromaticity of the reference leaves corresponding to the b-th woody plant, ">Respectively representing correction factors corresponding to the thickness, the area and the chromaticity of the leaves of the preset b-th woody plant;
comprehensively analyzing root growth evaluation indexes and leaf growth evaluation indexes corresponding to various woody plants in each left shore region to obtain woody plant growth evaluation indexes MB corresponding to each left shore region f And calculating woody plant growth evaluation index MB 'corresponding to each type of woody plant in each right bank subregion according to the same calculation steps' f′ F 'is denoted as the number of each right bank subregion, f' =1 ',2',.
The two-shore herbal plant growth analysis subunit is used for analyzing herbal plant growth evaluation indexes corresponding to each left shore subarea and each right shore subarea, and the specific analysis is as follows:
comparing various herbaceous plants in each left bank subarea with initial herbaceous plant types stored in a cloud storage library to obtain the quantity of herbaceous plant types, consistent with the initial herbaceous plant types, of each left bank subarea;
according to the formulaCalculating the growth evaluation index, CB, of the herbaceous plants corresponding to each left shore region f Herb growth evaluation index expressed as f-th left shore sub-region,/for>Expressed as the number difference corresponding to the y-th herbaceous plant in the f-th left shore sub-area, y expressed as the number of herbaceous plants, y=1, 2 y ' indicated as the allowable difference corresponding to the y-th herbaceous plant,>expressed as the corresponding density of the y-th herbaceous plant in the f-th left bank subregion,/>The initial concentration degree corresponding to the y-th herbaceous plant in the f left bank subregion is represented, and tau 7 and tau 8 are respectively represented as preset difference values and correction factors corresponding to the herbaceous plant species concentration degree;
simultaneously, according to the same analysis steps, obtaining herbal plant growth evaluation index CB 'corresponding to each right shore region' f′ ;
The two-shore plant comprehensive growth analysis subunit is used for analyzing plant growth evaluation coefficients corresponding to each left shore subarea and each right shore subarea, and the specific analysis steps are as follows:
comprehensively analyzing the herbal plant growth evaluation index and woody plant growth evaluation index corresponding to each left shore region to obtain plant growth evaluation coefficients zeta corresponding to each left shore region f Comprehensively analyzing according to the same analysis mode to obtain plant growth evaluation coefficients zeta corresponding to the right shore regions f ″;
The river water treatment analysis module is used for carrying out river water treatment demand analysis on each water region to be monitored, each left shore region and each right shore region to obtain each demand treatment region set;
the river water treatment demand analysis is carried out on each water area to be monitored, each left shore area and each right shore area, and the specific analysis steps are as follows:
comparing the water quality evaluation coefficients corresponding to the water areas to be monitored with a preset water quality evaluation coefficient threshold value, and judging that the water area to be monitored is a demand treatment area if the water quality evaluation coefficient corresponding to a certain water area to be monitored is smaller than the preset water quality evaluation coefficient threshold value;
comparing the plant growth evaluation coefficients corresponding to the left shore sub-areas and the plant growth evaluation coefficients corresponding to the right shore sub-areas with preset plant growth evaluation coefficient thresholds respectively, and judging the left shore sub-areas or the right shore sub-areas as the required treatment areas if the plant growth evaluation coefficients corresponding to the left shore sub-areas or the plant growth evaluation coefficients corresponding to the right shore sub-areas are smaller than the preset plant growth evaluation coefficient thresholds;
comparing the river bed change degree coefficient corresponding to each water area to be monitored with a preset river bed change degree coefficient threshold value, and judging the water area to be monitored as a demand treatment area if the river bed change degree coefficient corresponding to a certain water area to be monitored is larger than the preset river bed change degree coefficient threshold value, so as to obtain each demand treatment area set;
the river water treatment display terminal is used for displaying the set of each demand treatment area;
the cloud storage is used for storing the reference oxygen content, the reference phosphorus content, the reference nitrogen content, the reference pH value and the reference temperature corresponding to the river water body, storing the number of the herbal plant types, the initial number of the herbal plant types and the initial concentration of the herbal plant types which initially exist in each left bank subarea and each right bank subarea, and storing the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to each water area to be monitored.
2. The artificial intelligence-based river water environment treatment monitoring and analysis system is characterized in that: the automatic monitoring equipment comprises an intelligent high-definition camera, water quality detection equipment and a root system analyzer.
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