CN115219682A - River water environment treatment monitoring and analyzing system based on artificial intelligence - Google Patents
River water environment treatment monitoring and analyzing system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a river water environment treatment monitoring and analyzing system based on artificial intelligence, which comprises a river water area dividing module, a river water area water environment monitoring and analyzing module, a river water bed change monitoring and analyzing module, a river water bank plant growth monitoring and analyzing module, a river water treatment display terminal and a cloud storage library. By monitoring and analyzing the change degree of the riverbed, the water storage capacity condition of the riverway is more intuitively reflected, the riverway desertification is avoided, the sewage dilution capability of the riverway is ensured, a reliable environmental foundation is provided for the growth of vegetation, the safety of sewage discharge is improved, and the adverse effect on the water condition of the downstream area of the riverway is 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 and analyzing system based on artificial intelligence.
Background
Urban river pollution mainly comes from untreated industrial wastewater, domestic sewage, farmland drainage and other harmful substances directly or indirectly entering river water, so that the water quality environment of the river water is disturbed, the self-purification capacity of the river water is reduced, and the water quality is further deteriorated. The serious pollution of the urban river channel not only influences the normal development of the city, but also poses serious threats to the health of urban residents and the ecological safety of the city, thereby highlighting the importance of river channel water environment treatment.
At present, when the river water environment is monitored and analyzed, the water quality environment of the river water is mainly monitored and analyzed, the analysis dimension is single, and obviously, the current technology has defects in the following aspects:
at present, when the riverway water environment is monitored and analyzed, the riverway water environment is monitored and analyzed only from the riverway water body surface, for example, the water body pH value and the water body algae species condition are not monitored for the growth of algae and the change of the riverbed of the riverway, the change of the riverbed directly reflects the water storage capacity condition of the riverway, and the great influence is also caused on the surrounding environment, the water quality and the like, and the method is specifically embodied as follows:
A. the water level of the riverbed is reduced or the riverway is narrowed, so that the water storage capacity of the riverway is reduced, the sewage diluting capacity of the riverway water body is reduced, and the sewage discharging safety and the safety influence of the sewage discharging 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 river bank soil is serious, the growth of vegetation is not facilitated, the difficulty in water discharge and intake of cities is increased, the flow direction of the river channel can be changed, and the water body 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 change phenomena such as turning and beach cutting easily occur at the river elbow section, so that the river channel erosion and deposition changes, pollutants adsorbed on the surface of silt are released into water flow again to cause secondary pollution of a water body, and meanwhile, certain hidden danger is caused to the 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 banks are not analyzed, so that the environment monitoring from the biological angle is lacked, the water body condition of the river water cannot be comprehensively reflected, the comprehensive influence of water environment pollution on the plants on the two banks cannot be reflected, the sensitivity is low, and the river water environment cannot be protected and treated in time.
Disclosure of Invention
In order to overcome the defects in the background art, 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 art.
The purpose of the invention can be realized by the following technical scheme:
a river course water environment improvement monitoring analysis system based on artificial intelligence includes:
the river channel water area dividing module is used for carrying out area division on the river channel water area according to a plane gridding dividing mode to obtain each water area to be monitored, and numbering the water areas to be monitored into 1,2, a.
The river channel 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 a water quality evaluation coefficient corresponding to each water area to be monitored;
the riverway water and riverbed change monitoring and analyzing module is used for monitoring riverbed change of each water area to be monitored through automatic monitoring equipment and analyzing to obtain a riverbed change degree coefficient corresponding to each water area to be monitored;
the river water bank plant growth monitoring and analyzing module is used for dividing the river water bank into each left bank sub-region and each right bank sub-region according to a set dividing mode, monitoring the growth of plants in each left bank sub-region and each right bank sub-region, and analyzing the plants respectively to obtain plant growth evaluation coefficients corresponding to each left bank sub-region and each right bank sub-region, wherein the river water bank plant growth monitoring and analyzing module comprises a two-bank plant information acquisition unit and a two-bank plant growth analyzing unit;
the river water treatment analysis module is used for analyzing river water treatment requirements of each water area to be monitored, each left bank sub-area and each right bank sub-area to obtain each requirement treatment area set;
the river water treatment display terminal is used for displaying all required treatment areas in a set manner;
the cloud storage library is used for storing reference oxygen content, reference phosphorus content, reference nitrogen content, reference pH value and reference temperature corresponding to a river water body, storing the number of types of herbaceous plants, the initial quantity of the herbaceous plants and the initial concentration of the herbaceous plants initially existing in each left bank area and each right bank area, and storing the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to each water area to be monitored.
As the preferred scheme, automatic monitoring facilities includes intelligent high definition digtal camera, water quality testing equipment and root system analysis appearance.
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:
collecting oxygen content, phosphorus content, nitrogen content, pH value and temperature corresponding to each water area to be monitored by the water quality detection equipment in the automatic monitoring equipment, and carrying out comprehensive analysis to obtain water body evaluation index phi corresponding to each water area to be monitored i I denotes the number corresponding to the water area to be monitored, i =1,2, ·.., n;
the algae images corresponding to the water areas to be monitored are collected through the intelligent high-definition camera in the automatic monitoring equipment, the quantity of algae types existing in the water areas to be monitored is counted, the maximum growth height and the growth area corresponding to the algae types are obtained simultaneously, 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 the water quality evaluation coefficient eta corresponding to each water area to be monitored i 。
As a preferred scheme, the river bed change monitoring analysis is performed on each water area to be monitored, and the specific analysis steps are as follows:
through intelligent camera in automatic monitoring equipment to each waiting to monitorThe height, width and area of the riverbed in the water area are collected and comprehensively analyzed to obtain the riverbed change degree coefficient corresponding to each water area to be monitored, and the specific calculation formula is
ζ i Expressed as the coefficient of the degree of change of the riverbed 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 riverbed corresponding to the ith water area to be monitored,
the method comprises the steps of respectively representing the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to the ith water area to be monitored, and respectively representing u1, u2 and u3 as weight factors corresponding to the preset riverbed height, width and area.
As a preferred scheme, the riparian plant information acquisition unit is used for acquiring basic information of riparian plants in the river water, and specifically comprises the following 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 sub-regions and right bank sub-regions according to a preset area, sequentially numbering the left bank sub-regions as 1,2, a., f, a.and k according to a preset sequence, and sequentially numbering the right bank sub-regions as 1',2',. A., f ',. A.and k' according to a preset sequence;
carrying out image acquisition on the shore plants corresponding to each left shore sub-area and each right shore sub-area through an intelligent high-definition camera in automatic monitoring equipment, and respectively acquiring herbaceous plant information and woody plant information from the shore plants, wherein the herbaceous plant information is the type number corresponding to herbaceous plants and the concentration of various herbaceous plants, and the woody plant information comprises the type number corresponding to the woody plants and the tree number corresponding to various types of woody plants;
detecting root systems corresponding to all trees in all kinds of woody plants through a root system analyzer to obtain the total root length, the total root volume and the root tip number of all trees corresponding to all kinds of woody plants in all left bank subregions and all right bank subregions;
the method comprises the steps of collecting leaf images of various woody plants corresponding to various trees in each left bank subregion and each right bank subregion through an intelligent high-definition camera, counting the number of the leaves in the leaves, and simultaneously obtaining the thickness, the area and the chromaticity of the leaves of the various woody plants corresponding to the trees in each left bank subregion and each right bank subregion.
Preferably, the bilateral plant growth analysis unit comprises a bilateral woody plant growth analysis subunit, a bilateral herbaceous plant growth analysis subunit and a bilateral plant comprehensive growth analysis subunit.
As a preferred scheme, the two-bank woody plant growth analysis subunit is configured to analyze woody plant growth evaluation indexes corresponding to each left bank region and each right bank region, and the specific analysis is as follows:
according to the formula
Calculating root growth evaluation indexes corresponding to various woody plants in each left bank region,
expressed as root growth assessment index corresponding to the b-th woody plant in the f-th left bank area, f expressed as the number of left bank area, f =1,2, ·.. Multidot.k, b expressed as the number of woody plant species, b =1,2,. Multidot.once.d.,
the total root length, the total root volume and the root tip number of the c tree are respectively expressed by the b-th woody plant in the f-th left bank sub-area, c is expressed by the number of the tree, and c =1,2. b 、V′ b 、J′ b Respectively representing the reference root total length, the reference root total volume and the reference root tip number corresponding to the b-th woody plant,
respectively expressed as presetB, correction factors corresponding to the total root length, the total root volume and the root tip number of the woody plant;
according to the formula
Calculating leaf growth evaluation indexes corresponding to various woody plants in each left bank area,
expressed as leaf growth evaluation index corresponding to the b-th woody plant in the f-th left bank area,
respectively expressed as the thickness, the area and the chromaticity of the r-th leaf on the c-th tree corresponding to the woody plant in the b-th left bank sub-area, r is the number of the leaf, r =1,2. b 、M′ b 、S′ b Respectively representing the thickness, area and chromaticity of the reference leaves of the b-th woody plant,
respectively representing the 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 bank area to obtain woody plant growth evaluation indexes MB corresponding to each left bank area f And calculating woody plant growth evaluation indexes MB 'corresponding to various woody plants in each right bank subregion according to the same calculation step' f′ F ' denotes the number of each right bank subregion, f ' =1',2',...., k '.
As a preferred scheme, the bilateral-bank herbaceous plant growth analysis subunit is used for analyzing herbaceous plant growth evaluation indexes corresponding to each left bank sub-area and each right bank sub-area, and the specific analysis is as follows:
comparing various kinds of herbaceous plants in each left bank region with the initial herbaceous plant kinds stored in the cloud storage library to obtain the herbaceous plant kind quantity of each left bank region consistent with the initial herbaceous plant kinds;
according to the formula
Calculating the herbaceous plant growth evaluation index, CB, corresponding to each left bank sub-region f Expressed as the herbaceous plant growth evaluation index corresponding to the f-th left bank area,
is expressed as the corresponding quantity difference of the y type herbaceous plants in the f type left bank subarea, y is expressed as the number of the herbaceous plants, and y =1,2. y Expressed as the allowable difference corresponding to the y-th herb,
expressed as the corresponding concentration of the y-th herbaceous plant in the f-th left bank area,
expressed as the initial concentration corresponding to the y-th herbaceous plant in the f-th left bank area, and tau 7 and tau 8 are respectively expressed as preset difference values and correction factors corresponding to the herbaceous plant type concentration;
simultaneously obtaining herbaceous plant growth evaluation index CB 'corresponding to each right bank subregion according to the same analysis step' f′ 。
As a preferred scheme, the bilateral plant integrated growth analysis subunit is configured to analyze plant growth evaluation coefficients corresponding to each left bank sub-area and each right bank sub-area, and the specific analysis steps are as follows:
comprehensively analyzing the herbaceous plant growth evaluation index and the woody plant growth evaluation index corresponding to each left bank subregion to obtain a plant growth evaluation coefficient xi corresponding to each left bank subregion f Comprehensively analyzing according to the same analysis mode to obtain plant growth evaluation coefficients xi 'corresponding to all right bank subregions' f′ 。
As a preferred scheme, the analysis of the river water treatment requirement is carried out on each water area to be monitored, each left bank subregion and each right bank subregion, and the specific analysis steps are as follows:
comparing the water quality evaluation coefficient corresponding to each water area to be monitored with a preset water quality evaluation coefficient threshold value, and 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, judging that the water area to be monitored is a required treatment area;
comparing plant growth evaluation coefficients corresponding to the left bank sub-regions and the right bank sub-regions with a preset plant growth evaluation coefficient threshold respectively, and if the plant growth evaluation coefficient corresponding to a certain left bank sub-region or the plant growth evaluation coefficient corresponding to a certain right bank sub-region is smaller than the preset plant growth evaluation coefficient threshold, judging the left bank sub-region or the right bank sub-region as a required treatment region;
and comparing the riverbed change degree coefficient corresponding to each water area to be monitored with a preset riverbed change degree coefficient threshold, and if the riverbed change degree coefficient corresponding to a certain water area to be monitored is greater than the preset riverbed change degree coefficient threshold, judging the water area to be monitored as a demand treatment area, so as to obtain a demand treatment area set.
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 channel is monitored and treated and analyzed according to the change of the riverbed of the river channel, the water quality of the river channel and the plant growth information on the two banks of the river channel, so that multi-view monitoring with the riverbed as the center and the two banks as divergent areas is realized, the rationality and the comprehensiveness of the treatment and analysis of the water environment of the river channel 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 reference of an analysis result are improved, and the error generated in the process of monitoring and analyzing the water environment of the river channel at present is effectively avoided.
According to the invention, the change degree coefficient of the riverbed is obtained by monitoring and analyzing the change degree of the riverbed, so that the water storage capacity condition of the riverway is more intuitively reflected, on one hand, when the water level of the riverbed becomes low or the riverway becomes narrow, the riverbed condition is timely displayed to related personnel, the riverbank desertification is avoided, the sewage dilution capability of the riverway is ensured, a reliable environmental foundation is provided for the growth of vegetation, the safety of sewage discharge is improved, and the adverse effect on the water body condition of the downstream area of the riverway is effectively avoided; on the other hand, when the riverbed water level rises or the river course widens, the timely understanding of the riverbed condition by related personnel is facilitated, and then the secondary pollution of the water body caused by the fact that pollutants adsorbed on the sediment surface 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 method, the woody plant growth evaluation indexes and the herbaceous plant growth evaluation indexes corresponding to the two bank areas are comprehensively analyzed to obtain the plant growth evaluation coefficients corresponding to the two bank areas, so that the multi-dimensional monitoring of the riverway water environment is realized, the growth trend and the growth state of the riverway water environment plants are displayed, the water body condition of the riverway water is comprehensively reflected, the comprehensive influence of water body environmental pollution on the two bank plants can be accurately reflected, the sensitivity of the riverway water environment monitoring is greatly improved, and the riverway water environment is protected and treated more timely.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the system module connection according to the present invention.
Fig. 2 is a schematic connection diagram of a river bank plant growth monitoring and analyzing module according to the invention.
FIG. 3 is a schematic diagram of the connection of the growth analysis units of the plants on both sides of the bank.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention provides a river water environment treatment monitoring and analyzing system based on artificial intelligence, which comprises a river water area division module, a river water area water environment monitoring and analyzing module, a river water bed change monitoring and analyzing module, a river bank plant growth monitoring and analyzing module, a river water treatment display terminal and a cloud storage library.
The river channel water area division module is respectively connected with the river channel water area water environment monitoring and analyzing module and the river channel water riverbed change monitoring and analyzing module, the river channel water area water environment monitoring and analyzing module, the river channel water riverbed change monitoring and analyzing module and the river channel water bank plant growth monitoring and analyzing module are all connected with the river channel water treatment analyzing module and the cloud storage library, and the river channel water treatment analyzing module is connected with the river channel water treatment display terminal.
The river water area division module is used for carrying out area division on the river water areas according to a plane gridding division mode to obtain water areas to be monitored, and numbering the water areas to be monitored in sequence according to a preset sequence to be 1,2, a.
And the river channel 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 a water quality evaluation coefficient corresponding to each water area to be monitored.
As the preferred scheme, automatic monitoring facilities includes intelligent high definition digtal camera, water quality testing equipment and root system analysis appearance.
In one particular embodiment, the root system analyzer may directly obtain the total root length, total root volume, and number of root tips 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:
collecting oxygen content, phosphorus content, nitrogen content, pH value and temperature corresponding to each water area to be monitored by the water quality detection equipment in the automatic monitoring equipment, and carrying out comprehensive analysis to obtain water body evaluation index phi corresponding to each water area to be monitored i I denotes the number corresponding to the water area to be monitored, i =1,2, ·.., n;
it should be noted that the water body evaluation index calculation formula corresponding to each water area to be monitored is
hy i 、hl i 、hd i 、sj i 、wd i Respectively representing the oxygen content, the phosphorus content, the nitrogen content, the pH value and the temperature corresponding to the ith water area to be monitored, respectively representing the reference oxygen content, the reference phosphorus content, the reference nitrogen content, the reference pH value and the reference temperature, and respectively representing a1, a2, a3, a4 and a5 as coefficient factors corresponding to the set oxygen content, phosphorus content, nitrogen content, pH value and temperature.
The method comprises the steps of collecting algae images corresponding to all water areas to be monitored through an intelligent high-definition camera in automatic monitoring equipment, counting the quantity of algae types existing in all the water areas to be monitored, obtaining the maximum growth height and the growth area corresponding to all the algae types at the same time, and performing comprehensive analysis to obtain the algae coverage index corresponding to all the water areas to be monitored
It should be noted that the specific calculation formula of the algae coverage index corresponding to each water area to be monitored is
Expressed as corresponding algae in the ith water area to be monitoredThe number of the coverage indexes,
expressed as the maximum growth height corresponding to the jth algae species in the ith water zone to be monitored, j expressed as the number corresponding to the algae species, j =1,2, a.
Is expressed as the growth area corresponding to the jth algae species in the ith water area to be monitored, zg' j 、zs′ j Respectively showing the reference growth height and the reference growth area corresponding to the jth alga species.
Comprehensively analyzing the water body evaluation index and the algae coverage index corresponding to each water area to be monitored to obtain the 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 assessment coefficient corresponding to each water area to be monitored is
η i Expressed as a water quality evaluation coefficient corresponding to the ith water area to be monitored, and beta 1 and beta 2 are respectively expressed as influence factors corresponding to a preset water body evaluation index and an algae coverage index.
According to the invention, the water environment of the river channel is monitored and treated and analyzed according to the change of the riverbed of the river channel, the water quality of the river channel and the plant growth information on the two banks of the river channel, so that multi-view monitoring with the riverbed as the center and the two banks as divergent areas is realized, the rationality and the comprehensiveness of the treatment and analysis of the water environment of the river channel 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 reference of an analysis result are improved, and the error generated in the process of monitoring and analyzing the water environment of the river channel at present is effectively avoided.
And the riverway water riverbed change monitoring and analyzing module is used for monitoring riverbed change of each water area to be monitored through automatic monitoring equipment and analyzing to obtain a riverbed change degree coefficient corresponding to each water area to be monitored.
As a preferred scheme, the river bed change monitoring analysis is performed on each water area to be monitored, and the specific analysis steps are as follows:
collecting the height, width and area of the riverbed in each water area to be monitored through an intelligent camera in the automatic monitoring equipment, and carrying out comprehensive analysis to obtain the riverbed change degree coefficient corresponding to each water area to be monitored, wherein the specific calculation formula is
ζ i Expressed as the coefficient of the degree of change of the riverbed 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 riverbed corresponding to the ith water area to be monitored,
the method comprises the steps of respectively representing the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to the ith water area to be monitored, and respectively representing u1, u2 and u3 as weight factors corresponding to the preset riverbed height, width and area.
It should be noted that the riverbed change degree coefficient corresponding to each water area to be monitored can accurately determine the specific condition of the riverway water corresponding to each water area to be monitored, and if the riverbed change degree coefficient corresponding to a certain water area to be monitored is greater than the preset riverbed change degree coefficient threshold, the water area to be monitored may have an excessive rise or dry condition, and can timely feed back the riverway water to the relevant governing personnel.
According to the invention, the change degree coefficient of the riverbed is obtained by monitoring and analyzing the change degree of the riverbed, so that the water storage capacity condition of the riverway is more intuitively reflected, on one hand, when the water level of the riverbed becomes low or the riverway becomes narrow, the riverbed condition is timely displayed for related personnel, the riverbank desertification is avoided, the sewage dilution capability of the riverway is ensured, a reliable environmental foundation is provided for the growth of vegetation, meanwhile, the safety of sewage discharge is also improved, and the adverse effect on the water body condition of the downstream area of the riverway is effectively avoided; on the other hand, when the riverbed water level rises or the river course widens, the timely understanding of the riverbed condition by related personnel is facilitated, and then the secondary pollution of the water body caused by the fact that pollutants adsorbed on the sediment surface 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 bank sub-regions and right bank sub-regions according to a set dividing manner, monitor the growth of plants existing in the left bank sub-regions and the right bank sub-regions, and analyze the plants respectively to obtain plant growth evaluation coefficients corresponding to the left bank sub-regions and the right bank sub-regions, where the river water bank plant growth monitoring and analyzing module includes a two-bank plant information obtaining unit and a two-bank plant growth analyzing unit.
As a preferred scheme, the riparian plant information acquisition unit is used for acquiring basic information of riparian plants in the river water, and specifically comprises the following 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 sub-regions and right bank sub-regions according to a preset area, sequentially numbering the left bank sub-regions as 1,2, a., f, a.and k according to a preset sequence, and sequentially numbering the right bank sub-regions as 1',2',. A., f ',. A.and k' according to a preset sequence;
carrying out image acquisition on the shore plants corresponding to each left shore sub-area and each right shore sub-area through an intelligent high-definition camera in automatic monitoring equipment, and respectively acquiring herbaceous plant information and woody plant information from the shore plants, wherein the herbaceous plant information is the type number corresponding to herbaceous plants and the concentration of various herbaceous plants, and the woody plant information comprises the type number corresponding to the woody plants and the tree number corresponding to various types of woody plants;
detecting root systems corresponding to all trees in all kinds of woody plants through a root system analyzer to obtain the total root length, the total root volume and the root tip number of all trees corresponding to all kinds of woody plants in all left bank sub-areas and all right bank sub-areas;
the method comprises the steps of collecting leaf images of various woody plants corresponding to various trees in each left bank subregion and each right bank subregion through an intelligent high-definition camera, counting the number of the leaves in the leaves, and simultaneously obtaining the thickness, the area and the chromaticity of the leaves of the various woody plants corresponding to the trees in each left bank subregion and each right bank subregion.
Referring to fig. 3, the riparian plant growth analysis unit includes a riparian woody plant growth analysis subunit, a riparian herbaceous plant growth analysis subunit and a riparian plant integrated growth analysis subunit.
The two-bank woody plant growth analysis subunit is used for analyzing the woody plant growth evaluation indexes corresponding to each left bank subregion and each right bank subregion, and the specific analysis is as follows:
according to the formula
Calculating root growth evaluation indexes corresponding to various woody plants in each left bank area,
expressed as root growth assessment index corresponding to the b-th woody plant in the f-th left bank area, f expressed as the number of left bank area, f =1,2, ·.
The total root length, the total root volume and the root tip number of the c tree are respectively expressed by the b-th woody plant in the f-th left bank sub-area, c is expressed by the number of the tree, and c =1,2. b 、V′ b 、J′ b Respectively representing the reference root total length, the reference root total volume and the reference root tip number corresponding to the b-th woody plant,
respectively expressing the correction factors corresponding to the root total length, the root total volume and the root tip number of the preset b-th woody plant;
according to the formula
Calculating leaf growth evaluation indexes corresponding to various woody plants in each left bank area,
expressed as leaf growth evaluation index corresponding to the b-th woody plant in the f-th left bank area,
respectively expressed as the thickness, the area and the chromaticity of the r-th leaf on the c-th tree corresponding to the woody plant in the b-th left bank sub-area, r is the number of the leaf, r =1,2. b 、M′ b 、S′ b Respectively representing the thickness, area and chromaticity of the reference leaves of the b-th woody plant,
respectively representing the 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 bank area to obtain woody plant growth evaluation indexes MB corresponding to each left bank area f 。
It should be noted that the specific calculation formula of the woody plant growth evaluation index corresponding to each left bank region is
And sigma 1 and sigma 2 are respectively expressed as influence factors corresponding to the preset root system growth evaluation index and the leaf growth evaluation index.
Calculating woody plant growth evaluation indexes MB 'corresponding to various woody plants in each right bank subregion according to the calculation step of the woody plant growth evaluation indexes corresponding to the left bank subregions' f′ And f' is the number of each right bank subregion, f′＝1′,2′,......,k′。
As a preferred scheme, the two-bank herbaceous plant growth analysis subunit is configured to analyze herbaceous plant growth evaluation indexes corresponding to each left bank region and each right bank region, and the specific analysis is as follows:
comparing various kinds of herbaceous plants in each left bank region with the initial herbaceous plant kinds stored in the cloud storage library to obtain the herbaceous plant kind quantity of each left bank region consistent with the initial herbaceous plant kinds;
according to the formula
Calculating the herbaceous plant growth evaluation index, CB, corresponding to each left bank sub-region f Expressed as the herbaceous plant growth evaluation index corresponding to the f-th left bank area,
is expressed as the corresponding quantity difference of the y type herbaceous plants in the f type left bank subarea, y is expressed as the number of the herbaceous plants, and y =1,2. y Expressed as the allowable difference corresponding to the y-th herb,
expressed as the corresponding concentration of the y-th herbaceous plant in the f-th left bank area,
expressed as the initial concentration corresponding to the y-th herbaceous plant in the f-th left bank area, and tau 7 and tau 8 are respectively expressed as preset difference values and correction factors corresponding to the herbaceous plant type concentration;
meanwhile, according to the analysis steps that the herbaceous plant growth evaluation indexes corresponding to the left bank sub-areas are the same, the herbaceous plant growth evaluation index CB 'corresponding to each right bank sub-area is obtained through analysis' f′ 。
As a preferred scheme, the comprehensive growth analysis subunit of the plants on both sides is used for analyzing the plant growth evaluation coefficients corresponding to each left bank area and each right bank area, and the specific analysis steps are as follows:
comprehensively analyzing the herbaceous plant growth evaluation index and the woody plant growth evaluation index corresponding to each left bank subregion to obtain a plant growth evaluation coefficient xi corresponding to each left bank subregion f 。
It should be noted that the specific calculation formula of the plant growth evaluation coefficient corresponding to each left bank region is ξ f ＝MB f ·σ3+CB f σ 4, σ 3, and σ 4 are respectively expressed as influence factors corresponding to the preset woody plant growth evaluation index and the herbaceous plant growth evaluation index.
And comprehensively analyzing according to the analysis mode of the plant growth evaluation coefficient corresponding to each left bank subregion to obtain the plant growth evaluation coefficient xi 'corresponding to each right bank subregion' f′ 。
According to the method, the woody plant growth evaluation indexes and the herbaceous plant growth evaluation indexes corresponding to the two bank areas are comprehensively analyzed to obtain the plant growth evaluation coefficients corresponding to the two bank areas, so that the multi-dimensional monitoring of the riverway water environment is realized, the growth trend and the growth state of the riverway water environment plants are displayed, not only is the water body condition of the riverway water comprehensively reflected, but also the comprehensive influence of water body environmental pollution on the two bank plants can be accurately reflected, the sensitivity of the riverway water environment monitoring is greatly improved, and the riverway water environment is protected and treated more timely.
And the river water treatment analysis module is used for analyzing the river water treatment requirements of each water area to be monitored, each left bank sub-area and each right bank sub-area to obtain each requirement treatment area set.
As a preferred scheme, the river water treatment demand analysis is performed on each water area to be monitored, each left bank sub-area and each right bank sub-area, and the specific analysis steps are as follows:
comparing the water quality evaluation coefficient corresponding to each water area to be monitored with a preset water quality evaluation coefficient threshold value, and 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, judging that the water area to be monitored is a required treatment area;
comparing plant growth evaluation coefficients corresponding to the left bank sub-regions and the right bank sub-regions with a preset plant growth evaluation coefficient threshold respectively, and if the plant growth evaluation coefficient corresponding to a certain left bank sub-region or the plant growth evaluation coefficient corresponding to a certain right bank sub-region is smaller than the preset plant growth evaluation coefficient threshold, judging the left bank sub-region or the right bank sub-region as a required treatment region;
and comparing the riverbed change degree coefficient corresponding to each water area to be monitored with a preset riverbed change degree coefficient threshold, and if the riverbed change degree coefficient corresponding to a certain water area to be monitored is greater than the preset riverbed change degree coefficient threshold, judging the water area to be monitored as a demand treatment area, so as to obtain a demand treatment area set.
And the river water treatment display terminal is used for displaying all the required treatment areas in a gathering manner.
The purpose of displaying the set of required treatment areas is to enable river water treatment personnel to more clearly understand the conditions of the required treatment areas, and then perform targeted treatment.
The cloud storage library is used for storing reference oxygen content, reference phosphorus content, reference nitrogen content, reference pH value and reference temperature corresponding to a river water body, storing the number of types of herbaceous plants, the initial quantity of the herbaceous plants and the initial concentration of the herbaceous plants initially existing in each left bank area and each right bank area, 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 exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (10)
1. The utility model provides a river course water environment improvement monitoring analysis system based on artificial intelligence which characterized in that includes:
the river channel water area dividing module is used for carrying out area division on the river channel water area according to a plane gridding dividing mode to obtain each water area to be monitored, and numbering the water areas to be monitored into 1,2, a.
The river channel 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 a water quality evaluation coefficient corresponding to each water area to be monitored;
the riverway water riverbed change monitoring and analyzing module is used for monitoring riverbed change of each water area to be monitored through automatic monitoring equipment and analyzing to obtain a riverbed change degree coefficient corresponding to each water area to be monitored;
the river water bank plant growth monitoring and analyzing module is used for dividing the river water bank into each left bank sub-region and each right bank sub-region according to a set dividing mode, monitoring the growth of plants in each left bank sub-region and each right bank sub-region, and analyzing the plants respectively to obtain plant growth evaluation coefficients corresponding to each left bank sub-region and each right bank sub-region, wherein the river water bank plant growth monitoring and analyzing module comprises a two-bank plant information acquisition unit and a two-bank plant growth analyzing unit;
the river water treatment analysis module is used for analyzing river water treatment requirements of each water area to be monitored, each left bank sub-area and each right bank sub-area to obtain each requirement treatment area set;
the river water treatment display terminal is used for displaying all required treatment areas in a set manner;
the cloud storage library is used for storing reference oxygen content, reference phosphorus content, reference nitrogen content, reference pH value and reference temperature corresponding to a river water body, storing the number of types of herbaceous plants, the initial quantity of the herbaceous plants and the initial concentration of the herbaceous plants initially existing in each left bank area and each right bank area, 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 improvement monitoring and analyzing system according to claim 1, wherein the system comprises: the automatic monitoring equipment comprises an intelligent high-definition camera, water quality detection equipment and a root system analyzer.
3. The artificial intelligence-based river water environment improvement monitoring and analyzing system according to claim 2, wherein the system comprises: the specific analysis process of the water quality evaluation coefficient corresponding to each water area to be monitored is as follows:
collecting oxygen content, phosphorus content, nitrogen content, pH value and temperature corresponding to each water area to be monitored by the water quality detection equipment in the automatic monitoring equipment, and carrying out comprehensive analysis to obtain water body evaluation index phi corresponding to each water area to be monitored i I denotes the number corresponding to the water area to be monitored, i =1,2, ·.. Once, n;
the algae images corresponding to the water areas to be monitored are collected through the intelligent high-definition camera in the automatic monitoring equipment, the quantity of algae types existing in the water areas to be monitored is counted, the maximum growth height and the growth area corresponding to the algae types are obtained simultaneously, 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 the water quality evaluation coefficient eta corresponding to each water area to be monitored i 。
4. The artificial intelligence-based river water environment improvement monitoring and analyzing system of claim 1, wherein the system comprises: the river bed change monitoring and analyzing method for each water area to be monitored comprises the following specific analyzing steps:
through intelligent camera to each water area to be monitored in automatic monitoring equipmentThe height, width and area of the river bed in the region are collected and comprehensively analyzed to obtain the river bed change degree coefficient corresponding to each water area to be monitored, and the specific calculation formula is
ζ i Expressed as the coefficient of the degree of change of the riverbed 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 riverbed corresponding to the ith water area to be monitored,
the method comprises the steps of respectively representing the initial riverbed height, the initial riverbed width and the initial riverbed area corresponding to the ith water area to be monitored, and respectively representing u1, u2 and u3 as weight factors corresponding to the preset riverbed height, width and area.
5. The artificial intelligence-based river water environment improvement monitoring and analyzing system of claim 1, wherein the system comprises: the two-bank plant information acquisition unit is used for acquiring basic information of the two-bank plants in the 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 sub-regions and right bank sub-regions according to a preset area, sequentially numbering the left bank sub-regions as 1,2, a., f, a.and k according to a preset sequence, and sequentially numbering the right bank sub-regions as 1',2',. A., f ',. A.and k' according to a preset sequence;
carrying out image acquisition on the shoreside plants corresponding to each left shoreside region and each right shoreside region through an intelligent high-definition camera in automatic monitoring equipment, and respectively acquiring herbaceous plant information and woody plant information from the shoreside plants, wherein the herbaceous plant information is the number of types corresponding to herbaceous plants and the concentration of various herbaceous plants, and the woody plant information comprises the number of types corresponding to woody plants and the number of trees corresponding to various types of woody plants;
detecting root systems corresponding to all trees in all kinds of woody plants through a root system analyzer to obtain the total root length, the total root volume and the root tip number of all trees corresponding to all kinds of woody plants in all left bank subregions and all right bank subregions;
the method comprises the steps of collecting leaf images of various woody plants corresponding to various trees in each left bank subregion and each right bank subregion through an intelligent high-definition camera, counting the number of the leaves in the leaves, and simultaneously obtaining the thickness, the area and the chromaticity of the leaves of the various woody plants corresponding to the trees in each left bank subregion and each right bank subregion.
6. The artificial intelligence-based river water environment improvement monitoring and analyzing system according to claim 5, wherein the system comprises: the two-bank plant growth analysis unit comprises a two-bank woody plant growth analysis subunit, a two-bank herbaceous plant growth analysis subunit and a two-bank plant comprehensive growth analysis subunit.
7. The artificial intelligence-based river water environment improvement monitoring and analyzing system according to claim 6, wherein the system comprises: the two-bank woody plant growth analysis subunit is used for analyzing the woody plant growth evaluation indexes corresponding to each left bank subregion and each right bank subregion, and the specific analysis is as follows:
according to the formula
Calculating root growth evaluation indexes corresponding to various woody plants in each left bank area,
expressed as root growth assessment index corresponding to the b-th woody plant in the f-th left bank area, f expressed as the number of left bank area, f =1,2, ·.
The total root length, the total root volume and the root tip number of the c tree are respectively expressed by the b-th woody plant in the f-th left bank sub-area, c is expressed by the number of the tree, and c =1,2. b 、V′ b 、J′ b Respectively representing the reference root total length, the reference root total volume and the reference root tip number corresponding to the b-th woody plant,
respectively expressing the correction factors corresponding to the root total length, the root total volume and the root tip number of the preset b-th woody plant;
according to the formula
Calculating leaf growth evaluation indexes corresponding to various woody plants in each left bank area,
expressed as leaf growth evaluation index corresponding to the b-th woody plant in the f-th left bank area,
respectively expressed as the thickness, the area and the chromaticity of the r-th leaf on the c-th tree corresponding to the woody plant in the b-th left bank sub-area, r is the number of the leaf, r =1,2. b 、M′ b 、S′ b Respectively representing the thickness, area and chromaticity of the reference leaves of the b-th woody plant,
respectively representing the 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 bank area to obtain woody plant growth evaluation indexes MB corresponding to each left bank area f And calculating woody plant growth evaluation indexes MB 'corresponding to various woody plants in each right bank subregion according to the same calculation step' f′ F ' denotes the number of each right bank subregion, f ' =1',2',...., k '.
8. The artificial intelligence-based river water environment improvement monitoring and analyzing system according to claim 7, wherein the system comprises: the bilateral-bank herbaceous plant growth analysis subunit is used for analyzing herbaceous plant growth evaluation indexes corresponding to each left bank sub-area and each right bank sub-area, and the specific analysis is as follows:
comparing various kinds of herbaceous plants in each left bank region with the initial herbaceous plant kinds stored in the cloud storage library to obtain the herbaceous plant kind quantity of each left bank region consistent with the initial herbaceous plant kinds;
according to the formula
Calculating the herbaceous plant growth evaluation index, CB, corresponding to each left bank subregion f Expressed as the herbaceous plant growth evaluation index corresponding to the f-th left bank area,
is expressed as the corresponding quantity difference of the y type herbaceous plants in the f type left bank subarea, y is expressed as the number of the herbaceous plants, and y =1,2. y Expressed as the allowable difference for the y-th herb,
expressed as the corresponding concentration of the y-th herbaceous plant in the f-th left bank area,
expressed as the initial concentration corresponding to the y-th herbaceous plant in the f-th left bank area, and tau 7 and tau 8 are respectively expressed as the preset difference value and the revision corresponding to the herbaceous plant type concentrationA positive factor;
simultaneously according to the same analysis steps, obtaining herbaceous plant growth evaluation indexes CB 'corresponding to all right shore subareas' f′ 。
9. The artificial intelligence-based river water environment improvement monitoring and analyzing system according to claim 8, wherein the system comprises: the comprehensive growth analysis subunit of the plants on both sides is used for analyzing the plant growth evaluation coefficients corresponding to each left bank area and each right bank area, and the specific analysis steps are as follows:
comprehensively analyzing the herbaceous plant growth evaluation index and the woody plant growth evaluation index corresponding to each left bank subregion to obtain a plant growth evaluation coefficient xi corresponding to each left bank subregion f Comprehensively analyzing according to the same analysis mode to obtain plant growth evaluation coefficients xi 'corresponding to all right bank subregions' f′ 。
10. The artificial intelligence-based river water environment improvement monitoring and analyzing system according to claim 1, wherein the system comprises: the river water treatment demand analysis is carried out on each water area to be monitored, each left bank subregion and each right bank subregion, and the specific analysis steps are as follows:
comparing the water quality evaluation coefficient corresponding to each water area to be monitored with a preset water quality evaluation coefficient threshold value, and 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, judging that the water area to be monitored is a required treatment area;
comparing plant growth evaluation coefficients corresponding to the left bank sub-regions and the right bank sub-regions with a preset plant growth evaluation coefficient threshold, and if the plant growth evaluation coefficient corresponding to a certain left bank sub-region or the plant growth evaluation coefficient corresponding to a certain right bank sub-region is smaller than the preset plant growth evaluation coefficient threshold, judging the left bank sub-region or the right bank sub-region as a required treatment region;
and comparing the riverbed change degree coefficient corresponding to each water area to be monitored with a preset riverbed change degree coefficient threshold, and if the riverbed change degree coefficient corresponding to a certain water area to be monitored is greater than the preset riverbed change degree coefficient threshold, judging the water area to be monitored as a demand treatment area, so as to obtain a demand treatment area set.
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