CN110992415A - Water surface floater pollution evaluation system and method based on big data - Google Patents
Water surface floater pollution evaluation system and method based on big data Download PDFInfo
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Abstract
The invention belongs to the technical field of big data and water environment, and particularly discloses a water surface floater pollution evaluation system based on big data and a method thereof, the invention is scientific and reasonable and is safe and convenient to use, the image of the water surface of a river channel is collected by a camera, a model building unit is used for building a river channel water body model, an intelligent identification unit is used for scanning and calculating the model, the position of the water surface floater of the river channel is judged by a formula, the floater measurement precision can be effectively improved as the difference value of two adjacent coordinate points is calculated, meanwhile, the length of the floater can be accurately measured by a reference surface unit, the quantity of the water surface floater can be judged, the pollution degree of the water surface floater of the river channel can be timely known, the floater can be timely salvaged from the river channel water body which is to be seriously polluted, the further pollution of the river channel water body can be effectively prevented, is beneficial to the improvement of water environment pollution.
Description
Technical Field
The invention relates to the technical field of big data and water environment, in particular to a water surface floater pollution evaluation system and method based on big data.
Background
Along with the continuous improvement of living standard of people, the consciousness of people on environmental protection is continuously strengthened, the existing river pollution factor is mainly the discharge of living sewage and industrial wastewater, meanwhile, the abandonment of the domestic garbage can directly cause the pollution of the river water, the domestic garbage in the existing river channel can be cleaned only when being accumulated to a certain amount, but the river water is polluted at the moment, therefore, the river course floaters are detected and treated in time, the further pollution of the domestic garbage to the river course and river water can be reduced, the existing detection mostly adopts artificial observation to observe the amount of the floaters on the water surface of the river course, however, the observation is not only labor-consuming, but also the detection accuracy is not high, and there is a subjective judgment, therefore, a system and a method for evaluating the pollution of the floating objects on the water surface based on big data are urgently needed to solve the problems.
Disclosure of Invention
The invention aims to provide a water surface floater pollution evaluation system based on big data and a method thereof, which aim to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a water surface floater pollution evaluation system based on big data comprises a data acquisition end, a modeling processing end, a data measurement end, a system calculation end and a screen display end;
the output end of the data acquisition end is electrically connected with the input ends of the modeling processing end and the system calculation end, the output end of the modeling processing end is electrically connected with the input end of the data measurement end, the output end of the data measurement end is electrically connected with the input end of the system calculation end, and the output end of the system calculation end is electrically connected with the input end of the screen display end;
the data acquisition end is used for acquiring water environment data, the modeling processing end is used for performing 3D modeling according to the water environment data acquired by the data acquisition end, the data measurement end is used for measuring data of a 3D model after modeling, the system calculation end is used for calculating the measured data, and the screen display end is used for displaying the calculation result.
The mutual cooperation that above-mentioned each terminal can realize the measurement to the control of surface of water floater, helps evaluating the pollution degree of water environment, has reduced the input of manpower and material resources for can be timely make the counter-measure, help water environmental pollution's improvement.
As a preferred technical scheme, the data acquisition end comprises a camera and a flow meter;
the output end of the camera is electrically connected with the input end of the modeling processing end, and the output end of the flow velocity meter is electrically connected with the input end of the system computing end;
the camera is used for shooting and collecting river surface images, so that the pollution condition of the river surface can be analyzed according to the collected images, the camera is located beside a river bank, the flow meter is used for detecting the flow velocity V of river water and is used as a basis for judging the length of a floating object in combination with time T, and the flow meter is located in the river water.
Can effectual realization to the collection of river data, reduce the observation and the collection of thinking, practiced thrift the human cost, simultaneously for detect data accuracy more helps making more accurate judgement to the pollution condition of river.
As a preferred technical scheme, the modeling processing end comprises a model establishing unit and an intelligent identification unit;
the output end of the camera is electrically connected with the input end of the model building unit, and the output end of the intelligent identification unit is electrically connected with the input end of the model building unit;
the model building unit is used for drawing the images collected by the camera into a 3D model, the model building unit can be 3D modeling software, the intelligent identification unit is used for reading 3D model data, identifying break points or bulge points of the surface continuity of the 3D model of the water body and determining the break points or the bulge points as water surface floaters.
The 3D model conversion of water can be realized to above-mentioned unit for can realize the observation to the water surface through the computer, more directly perceived and clear, utilize intelligent recognition unit automatic identification break point or protruding part in the surface of water, do not need artificial observation, improve the precision of discernment, simultaneously, effectual speed and the efficiency of improving the discernment.
As a preferred technical solution, the intelligent identification unit further comprises a model scanning unit, an abnormality detection unit, a numerical value detection unit and an abnormality judgment unit;
the output end of the model scanning unit is electrically connected with the input end of the abnormality detection unit, the output end of the abnormality detection unit is electrically connected with the input end of the numerical value detection unit, and the output end of the numerical value detection unit is electrically connected with the input end of the abnormality judgment unit;
the model scanning unit is used for scanning the surface of the 3D model established by the model establishing unit and reading the three-dimensional coordinate value of each scanning point, the three-dimensional coordinate value is (X, Y, Z), the abnormality detection unit is used for calculating the difference value of the three-dimensional coordinate values scanned and read by the scanning unit, the numerical value detection unit is used for detecting the calculated numerical value, and the abnormality judgment unit is used for judging whether the detected numerical value is suddenly changed or not and is used as a basis for judging whether the water surface has floating objects or not.
Among the above-mentioned unit, the realization utilizes the calculation to the difference of coordinate value to the intelligent analysis of 3D model, can be effective and quick seek out the catastrophe point, makes further judgement to the catastrophe point again, can effectually judge whether the water level has appeared the floater, has improved the degree of accuracy that the system judged, has reduced the error of judgement.
As a preferred technical scheme, the data measuring end comprises a reference surface unit and a time recording unit;
the output end of the model building unit is electrically connected with the input end of the reference surface unit, and the output end of the reference surface unit is electrically connected with the input end of the time recording unit;
the datum plane unit is used for establishing a datum plane by taking the starting point of a break point or a bulge point of a 3D model surface continuity plane as a datum point, the datum point is the foremost end along the water flow direction, the time recording unit determines the establishment start by the datum plane and records time T1When the 3D model surface at the reference surface position of the reference point recovers continuity, the water surface floater passes through the reference surface, and the time recording unit stops recording for T2The time recording unit may be a timer.
The time that above-mentioned unit floated the floater is recorded, and the rivers speed of cooperation current meter measurement can be calculated the length of floater, can judge the size of floater effectively, can realize the accurate measurement to surface of water floater length, does not need artificial to carry out rough estimation to surface of water floater, has improved the degree of accuracy to surface of water floater pollution evaluation.
As the preferred technical scheme, the system computing end comprises a control module;
the output ends of the time recording unit and the flow velocity meter are electrically connected with the input end of the control module;
the control module is used for intelligently controlling the whole system, calculating the data measured by the data measuring end according to a formula and determining the length of the floater, and can be a programmable controller;
the screen display end comprises a display screen;
the output end of the control module is electrically connected with the input end of the display screen;
and the display screen displays the calculated length of the floater, calculates the length of the floater on the whole river surface in unit time, and displays the evaluation of the pollution degree of the floater on the water surface according to the calculated length in unit time according to a formula.
A water surface floater pollution evaluation method based on big data comprises the following steps:
s1, collecting related data by using a data collection end;
s2, carrying out 3D modeling processing on the collected image by using a modeling processing end;
s3, measuring the related data of the floating object according to the 3D model of the river surface;
s4, calculating the length of the floating object according to the data measured by the data measuring end and the data collected by the data collecting end;
and S5, evaluating the pollution degree of the floating objects according to the calculation result and displaying the pollution degree.
Preferably, in the steps S1-S5, the camera faces the river surfaceThe image is collected, the current meter detects the river current velocity V, the model building unit converts the river surface image collected by the camera into a 3D model, the model scanning unit scans the surface of the built 3D model to form a three-dimensional coordinate A of each scanning pointi=（Xi,Yi,Zi) Forming a river surface three-dimensional coordinate set A = { A = { (A) }1,A2,A3,…,AnAt the same time, separately form a Z-axis coordinate set Z = { Z = { Z = }1,Z2,Z3,…,ZnThe system comprises an abnormality detection unit, a numerical value detection unit, an abnormality judgment unit and a time recording unit, wherein the abnormality detection unit calculates the difference value of Z-axis coordinate values of the same X axis and the same Y axis, the numerical value detection unit detects the calculated numerical value, the abnormality judgment unit judges the detected numerical value to determine whether the detected numerical value is a floating object or not, a reference surface unit establishes a reference surface perpendicular to the water flow direction by taking the point for determining the floating object as a reference point, the position of the reference surface is kept unchanged, and the time recording unit starts to record time T1The three-dimensional coordinate value at the position of the identification datum plane of the intelligent identification unit is recovered to be normal, and the time recording unit stops recording for T2And calculating the length of the floater according to a formula, evaluating the pollution degree of the floater on the water surface according to the length of the floater in unit time, and displaying by using the screen display terminal.
As a preferred technical solution, the abnormality detection unit calculates a Z-axis coordinate value difference value of the same X-axis and unit Y-axis changes according to a formula:
wherein Z isiIs the Z-axis coordinate of point i, Zi-1Is the Z-axis coordinate of the point i-1, ZDifference (D)Is ZiPoint and Zi-1Coordinate difference of points, YiIs the Y-axis coordinate of point i, Yi-1Is the Y-axis coordinate of the point i-1, and k is a unit value;
when Z isDifference (D)When the Z-axis difference is larger than a set threshold value A, the Z-axis difference is larger than the set threshold valuei-1=（Xi-1,Yi-1,Zi-1) For initiating water surface floatsPoint, the reference plane unit is represented by Ai-1The point is used as a reference point to establish a reference surface perpendicular to the water flow direction, and the time recording unit records the time T1Keeping the X-axis coordinate unchanged, when the Z difference is less than H, indicating that the floating object has flowed through the reference surface, and stopping the time recording unit for T2The total time is as follows:
wherein T is the length of time it takes for the float to flow over the datum;
according to the formula:
wherein V represents the water flow rate, LiRepresents the total length of the float;
and when the Z difference is less than H, indicating that no floating object exists at the detection position, and continuously calculating and detecting the rest three-dimensional coordinate points.
As a preferred technical scheme, the control module calculates the total length of the floating objects in unit time according to a formula:
in unit time:
when L isGeneral assemblyWhen the water surface floating substance coverage rate is more than or equal to A, the water surface floating substance coverage rate is over a maximum threshold value, and the water body is seriously polluted;
when B is less than or equal to LGeneral assemblyIf the water surface floating object coverage rate is less than A, the water surface floating object coverage rate is larger than a minimum threshold value and smaller than a maximum threshold value, and the water body is generally polluted;
when the Ltotal is less than B, the coverage rate of the surface water surface floaters is less than a minimum threshold value, and the water body is slightly polluted.
Compared with the prior art, the invention has the beneficial effects that: the image of the water surface of the river channel is collected by the camera, a model building unit is used for building a river channel water body model, the intelligent identification unit is used for scanning and calculating the model, the position of the floating object on the water surface of the river channel is judged by using a formula, because the difference value of two adjacent coordinate points is calculated, the position of the floating object on the surface of the river water can be accurately judged, the measuring precision of the floating object can be effectively improved, meanwhile, the length of the floater can be accurately measured by using the reference surface unit, the length of the water surface floater is calculated, the quantity of the water surface floater is judged, the pollution degree of the water surface floater of the river channel can be known in time, the floater can be salvaged in time to the river channel water body which is to be seriously polluted, can effectively prevent the further pollution of the river water body and is beneficial to the improvement of the water environment pollution.
Drawings
FIG. 1 is a schematic diagram of the module composition of a big data-based water surface floater pollution evaluation system according to the invention;
FIG. 2 is a schematic diagram of a module connection structure of a water surface floater pollution evaluation system based on big data according to the invention;
FIG. 3 is a schematic diagram of a module structure of an intelligent identification unit of a water surface floater pollution evaluation system based on big data according to the invention;
FIG. 4 is a schematic diagram of module connection of an intelligent identification unit of a water surface floater pollution evaluation system based on big data according to the invention;
FIG. 5 is a schematic diagram of the steps of a method for evaluating the pollution of the floating objects on the water surface based on big data according to the present invention;
FIG. 6 is a flow chart of a method for evaluating the pollution of the water surface floating objects based on big data according to the invention;
FIG. 7 is a schematic diagram of a river distribution structure of a water surface floating object pollution evaluation method based on big data according to the invention;
fig. 8 is a schematic diagram of the coordinate axis direction of the water surface floater pollution evaluation method based on big data.
Reference numbers in the figures: 1. river surface; 2. a float; 3. a camera; 4. a reference plane; 5. and a flow meter.
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.
As shown in fig. 1-2, a water surface floater pollution evaluation system based on big data comprises a data acquisition end, a modeling processing end, a data measurement end, a system calculation end and a screen display end;
the output end of the data acquisition end is electrically connected with the input ends of the modeling processing end and the system calculation end, the output end of the modeling processing end is electrically connected with the input end of the data measurement end, the output end of the data measurement end is electrically connected with the input end of the system calculation end, and the output end of the system calculation end is electrically connected with the input end of the screen display end;
the data acquisition end is used for acquiring water environment data, the modeling processing end is used for performing 3D modeling according to the water environment data acquired by the data acquisition end, the data measurement end is used for measuring data of a 3D model after modeling, the system calculation end is used for calculating the measured data, and the screen display end is used for displaying the calculation result.
The data acquisition end comprises a camera 3 and a flow meter 5;
the output end of the camera 3 is electrically connected with the input end of the modeling processing end, and the output end of the flow velocity meter 5 is electrically connected with the input end of the system computing end;
the camera 3 is used for shooting and collecting images of the river surface 1, so that the pollution condition of the river surface 1 can be analyzed according to the collected images, the camera 3 is located beside a river bank, the flow meter 5 is used for detecting the flow velocity V of river water and is combined with time T to serve as a basis for judging the length of the floating object 2, and the flow meter 5 is located in the river water.
The modeling processing end comprises a model establishing unit and an intelligent identification unit;
the output end of the camera 3 is electrically connected with the input end of the model building unit, and the output end of the intelligent identification unit is electrically connected with the input end of the model building unit;
the model building unit is used for drawing the images collected by the camera 3 into a 3D model, the model building unit can be 3D modeling software, the intelligent identification unit is used for reading 3D model data, identifying break points or protruding points of surface continuity of the 3D model of the water body and determining the break points or protruding points as the water surface floater 2.
The data measuring end comprises a reference surface unit and a time recording unit;
the output end of the model building unit is electrically connected with the input end of the reference surface unit, and the output end of the reference surface unit is electrically connected with the input end of the time recording unit;
the datum plane unit is used for establishing a datum plane 4 by taking the starting point of a break point or a bump point of a 3D model surface continuity plane as a datum point, the datum point is the foremost end along the water flow direction, the time recording unit determines the establishment start by the datum plane 4 and records time T1When the 3D model surface at the position of the reference plane 4 of the reference point recovers continuity, the water surface floater 2 passes through the reference plane 4, and the time recording unit stops recording for T2The time recording unit may be a timer.
The time that above-mentioned unit drifted 2 floaters is recorded, and the rivers speed of 5 measuring of cooperation velocity of flow meter can calculate the length of floater 2, can judge the size of floater 2 effectively, can realize the accurate measurement to 2 lengths of surface of water floater, does not need artificial to carry out rough estimation to surface of water floater 2, has improved the degree of accuracy to the 2 pollution evaluations of surface of water floater.
The system computing end comprises a control module;
the output ends of the time recording unit and the flow velocity meter 5 are electrically connected with the input end of the control module;
the control module is used for intelligently controlling the whole system, calculating the data measured by the data measuring end according to a formula and determining the length of the floater 2, and can be a programmable controller;
the screen display end comprises a display screen;
the output end of the control module is electrically connected with the input end of the display screen;
the display screen displays the calculated length of the floater 2, calculates the length of the floater 2 in the whole river surface 1 in unit time, and displays the evaluation of the pollution degree of the floater 2 on the water surface according to the formula and the calculated length in unit time.
As shown in fig. 3, 4, 7, and 8, the intelligent identification unit further includes a model scanning unit, an abnormality detection unit, a numerical value detection unit, and an abnormality determination unit;
the output end of the model scanning unit is electrically connected with the input end of the abnormality detection unit, the output end of the abnormality detection unit is electrically connected with the input end of the numerical value detection unit, and the output end of the numerical value detection unit is electrically connected with the input end of the abnormality judgment unit;
the model scanning unit is used for scanning the surface of the 3D model established by the model establishing unit and reading the three-dimensional coordinate value of each scanning point, the three-dimensional coordinate value is (X, Y, Z), the abnormality detection unit is used for calculating the difference value of the three-dimensional coordinate values scanned and read by the scanning unit, the numerical value detection unit is used for detecting the calculated numerical value, and the abnormality judgment unit is used for judging whether the detected numerical value is suddenly changed or not and is used as a basis for judging whether the floating object 2 exists on the water surface or not.
Among the above-mentioned unit, realize the intelligent analysis to the 3D model, utilize the calculation to the difference of coordinate value, can be effective and quick seek out the catastrophe point, make further judgement to the catastrophe point again, can effectually judge whether floater 2 has appeared in the water level, improved the degree of accuracy that the system judged, reduced the error of judgement.
As shown in fig. 5 to 6, a method for evaluating the pollution of the water surface floating object based on big data comprises the following steps:
s1, collecting related data by using a data collection end;
s2, carrying out 3D modeling processing on the collected image by using a modeling processing end;
s3, measuring the related data of the floater 2 according to the river surface 13D model;
s4, calculating the length of the floater 2 according to the data measured by the data measuring end and the data collected by the data collecting end;
and S5, evaluating the pollution degree of the floating object 2 according to the calculation result and displaying the pollution degree.
As shown in fig. 7 to 8, in the steps S1 to S5, the camera 3 collects an image of the river surface 1, the current meter 5 detects the flow velocity V of the river, the model building unit converts the image of the river surface 1 collected by the camera 3 into a 3D model, and the model scanning unit scans the surface of the built 3D model to form three-dimensional coordinates a of each scanning pointi=（Xi,Yi,Zi) Forming a three-dimensional coordinate set A = { A } of the river surface 11,A2,A3,…,AnAt the same time, separately form a Z-axis coordinate set Z = { Z = { Z = }1,Z2,Z3,…,ZnThe system comprises an abnormality detection unit, a numerical value detection unit, an abnormality judgment unit and a time recording unit, wherein the abnormality detection unit calculates the difference value of Z-axis coordinate values of the same X axis and the same Y axis, the numerical value detection unit detects the calculated numerical value, the abnormality judgment unit judges the detected numerical value to determine whether the floating object 2 exists or not, a reference surface unit establishes a reference surface 4 perpendicular to the water flow direction by taking the point for determining the floating object 2 as a reference point, the position of the reference surface 4 is kept unchanged, and the time recording unit starts to record time T1The intelligent recognition unit recognizes the three-dimensional coordinate value at the position of the reference surface 4 to recover to normal, and the time recording unit stops recording for T2And calculating the length of the floater 2 according to a formula, evaluating the pollution degree of the floater 2 on the water surface according to the length of the floater 2 in unit time, and displaying by using the screen display terminal.
The abnormality detection unit calculates a Z-axis coordinate value difference value of the same X-axis and unit Y-axis changes according to a formula:
wherein Z isiIs the Z-axis coordinate of point i, Zi-1Is the Z-axis coordinate of the point i-1, ZDifference (D)Is ZiPoint and Zi-1Coordinate difference of points, YiIs the Y-axis coordinate of point i, Yi-1Is the Y-axis coordinate of the point i-1, and k is a unit value;
when Z isDifference (D)When the Z-axis difference is larger than a set threshold value A, the Z-axis difference is larger than the set threshold valuei-1=（Xi-1,Yi-1,Zi-1) The reference surface unit is A as the starting point of the water surface floater 2i-1The point is a reference point to establish a reference plane 4 perpendicular to the direction of the water flow, and the time recording unit records the time T1Keeping the X-axis coordinate constant, when the Z difference is less than H, the floating object 2 is indicated to have flowed through the reference surface 4, and the time recording unit stops for a time T2The total time is as follows:
where T is the length of time it takes for the float 2 to flow over the datum level 4;
according to the formula:
wherein V represents the water flow rate, LiRepresents the total length of the float 2;
and when the Z difference is less than H, indicating that the detection position has no floating object 2, and continuously calculating and detecting the rest three-dimensional coordinate points.
The control module calculates the total length of the floater 2 in unit time according to the formula:
in unit time:
when L isGeneral assemblyWhen the water surface floating object 2 coverage rate exceeds the maximum threshold value, the water is not less than AThe body is seriously polluted;
when B is less than or equal to LGeneral assemblyIf the water surface floating object coverage rate is less than A, the water surface floating object coverage rate is larger than the minimum threshold value and smaller than the maximum threshold value, and the water body is generally polluted;
when the Ltotal is less than B, the coverage rate of the surface water surface floater 2 is less than the minimum threshold value, and the water body is slightly polluted.
The first embodiment is as follows:
camera 3 gathers river surface 1 image, velocity of flow meter 5 is to river velocity of flow V =0.8m/min, the river surface 1 image that the model building unit gathered camera 3 converts the 3D model into, the model scanning unit scans the 3D model surface of establishing, forms the three-dimensional coordinate A of each scanning pointi=（Xi,Yi,Zi) Forming a three-dimensional coordinate set A = { A } of the river surface 11,A2,A3,…,AnAnd simultaneously, independently forming a Z-axis coordinate set Z = {1.2,3.5,3.4, …,1.3}, calculating the Z-axis coordinate value difference of the same X-axis and unit Y-axis by the abnormality detection unit, detecting the calculated numerical value by the numerical value detection unit, judging the detected numerical value by the abnormality judgment unit to determine whether the floating object 2 is detected, establishing a reference surface 4 perpendicular to the water flow direction by using the point for determining the floating object 2 as a reference point by the reference surface unit, keeping the position of the reference surface 4 unchanged, and starting to record time T by the time recording unit1=0s, the intelligent recognition unit recognizes that the three-dimensional coordinate value at the position of the reference plane 4 returns to normal, and the time recording unit stops recording for T2And =35s, calculating the length of the floater 2 according to a formula, evaluating the pollution degree of the floater 2 on the water surface according to the length of the floater 2 in unit time, and displaying the pollution degree by using the screen display end.
The abnormality detection unit calculates a Z-axis coordinate value difference value of the same X-axis and unit Y-axis changes according to a formula:
wherein Z is2Is a 2-point Z-axis coordinate, Z1Is a Z-axis coordinate of 1 point, ZDifference (D)Is Z2Point and Z1Coordinate difference of points, Y2Is a 2-point Y-axis coordinate, Y1Is the Y-axis coordinate of 1 point, k =1 is the unit value;
Zdifference (D)H =1, indicating that the Z-axis difference is greater than a set threshold, A1=（X1,Y1,Z1) The reference surface unit is A as the starting point of the water surface floater 21The point is a reference point to establish a reference plane 4 perpendicular to the direction of the water flow, and the time recording unit records the time T1=0s, keeping the X-axis coordinate unchanged when Z isDifference (D)< H, indicating that the float 2 has flowed over the reference surface 4, the time recording unit has stopped for a time T2=35s, total time is:
where T =35 is the length of time it takes for the float 2 to flow over the datum level 4;
according to the formula:
wherein V =0.8m/min represents the water flow velocity, L1=0.467m represents the total length of the float 2;
the control module calculates the total length of the floater 2 in unit time according to the formula:
within 1 h:
when L isGeneral assemblyWhen A =10m or more, the coverage rate of the floater 2 on the water surface exceeds the maximum threshold value, and the water body is seriously polluted;
when B =3m ≦ LGeneral assemblyIf the coverage rate of the floater 2 on the water surface is less than the minimum threshold value and less than the maximum threshold value, the water body is generally polluted;
when L isGeneral assemblyWhen the length is less than B =3m, the coverage rate of the surface water surface floater 2 is less than the minimum threshold value, and the water body is slightly polluted.
Example two:
camera 3 gathers river surface 1 image, velocity of flow meter 5 is to river velocity of flow V =0.8m/min, the river surface 1 image that the model building unit gathered camera 3 converts the 3D model into, the model scanning unit scans the 3D model surface of establishing, forms the three-dimensional coordinate A of each scanning pointi=（Xi,Yi,Zi) Forming a three-dimensional coordinate set A = { A } of the river surface 11,A2,A3,…,AnAnd simultaneously, independently forming a Z-axis coordinate set Z = {1.2,1.25,1.2, …,1.3}, calculating the Z-axis coordinate value difference of the same X-axis and unit Y-axis by the abnormality detection unit, detecting the calculated numerical value by the numerical value detection unit, judging the detected numerical value by the abnormality judgment unit to determine whether the floating object 2 is detected, establishing a reference surface 4 perpendicular to the water flow direction by using the point for determining the floating object 2 as a reference point by the reference surface unit, keeping the position of the reference surface 4 unchanged, and starting to record time T by the time recording unit1The intelligent recognition unit recognizes the three-dimensional coordinate value at the position of the reference surface 4 to recover to normal, and the time recording unit stops recording for T2And calculating the length of the floater 2 according to a formula, evaluating the pollution degree of the floater 2 on the water surface according to the length of the floater 2 in unit time, and displaying by using the screen display terminal.
The abnormality detection unit calculates a Z-axis coordinate value difference value of the same X-axis and unit Y-axis changes according to a formula:
wherein Z is2Is a 2-point Z-axis coordinate, Z1Is a Z-axis coordinate of 1 point, ZDifference (D)=0.05 is Z2Point and Z1Coordinate difference of points, Y2Is a 2-point Y-axis coordinate, Y2Is the Y-axis coordinate of 2 points, k =1 is the unit value;
and the Z difference is less than H =1, the detection position is free from the floating object 2, and the calculation and the detection are continuously carried out on the rest three-dimensional coordinate points.
In conclusion, the method can be used for effectively monitoring the obstacles floating on the water surface in real time, calculating the total amount of the obstacles floating on the water surface, evaluating the degree of the water environment pollution caused by the water surface floaters and responding to the water environment pollution condition in time.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. The utility model provides a surface of water floater pollution evaluation system based on big data which characterized in that: the evaluation system comprises a data acquisition end, a modeling processing end, a data measurement end, a system calculation end and a screen display end;
the output end of the data acquisition end is electrically connected with the input ends of the modeling processing end and the system calculation end, the output end of the modeling processing end is electrically connected with the input end of the data measurement end, the output end of the data measurement end is electrically connected with the input end of the system calculation end, and the output end of the system calculation end is electrically connected with the input end of the screen display end;
the data acquisition end is used for acquiring water environment data, the modeling processing end is used for performing 3D modeling according to the water environment data acquired by the data acquisition end, the data measurement end is used for measuring data of a 3D model after modeling, the system calculation end is used for calculating the measured data, and the screen display end is used for displaying the calculation result.
2. The big data based water surface floater pollution evaluation system according to claim 1, wherein: the data acquisition end comprises a camera and a flow meter;
the output end of the camera is electrically connected with the input end of the modeling processing end, and the output end of the flow velocity meter is electrically connected with the input end of the system computing end;
the camera is used for shooting and collecting river surface images, the flow velocity meter is used for detecting the flow velocity V of river water and combining time T as a basis for judging the length of the floating object.
3. The big data based water surface floater pollution evaluation system according to claim 2, wherein: the modeling processing end comprises a model establishing unit and an intelligent identification unit;
the output end of the camera is electrically connected with the input end of the model building unit, and the output end of the intelligent identification unit is electrically connected with the input end of the model building unit;
the model building unit is used for drawing the image collected by the camera into a 3D model, and the intelligent identification unit is used for reading the 3D model data, identifying the break points or the bulge points of the surface continuity of the 3D model of the water body and determining the break points or the bulge points as the water surface floater.
4. The big data based water surface floater pollution evaluation system according to claim 3, wherein: the intelligent identification unit also comprises a model scanning unit, an abnormality detection unit, a numerical value detection unit and an abnormality judgment unit;
the output end of the model scanning unit is electrically connected with the input end of the abnormality detection unit, the output end of the abnormality detection unit is electrically connected with the input end of the numerical value detection unit, and the output end of the numerical value detection unit is electrically connected with the input end of the abnormality judgment unit;
the model scanning unit is used for scanning the surface of the 3D model established by the model establishing unit and reading the three-dimensional coordinate value of each scanning point, the abnormality detection unit is used for calculating the difference value of the three-dimensional coordinate values scanned and read by the scanning unit, the numerical value detection unit is used for detecting the calculated numerical value, and the abnormality judgment unit is used for judging whether the detected numerical value is suddenly changed.
5. The big data based water surface floater pollution evaluation system according to claim 3, wherein: the data measuring end comprises a reference surface unit and a time recording unit;
the output end of the model building unit is electrically connected with the input end of the reference surface unit, and the output end of the reference surface unit is electrically connected with the input end of the time recording unit;
the datum plane unit is used for establishing a datum plane by taking the starting point of a break point or a convex point of the 3D model surface continuity plane as a datum point, the time recording unit determines the establishment start and records time T by the datum plane1When the 3D model surface at the reference surface position of the reference point recovers continuity, the water surface floater passes through the reference surface, and the time recording unit stops recording for T2。
6. The big data based system for assessing contamination of a float on water according to claim 5, wherein: the system computing end comprises a control module;
the output ends of the time recording unit and the flow velocity meter are electrically connected with the input end of the control module;
the control module is used for intelligently controlling the whole system, calculating the data measured by the data measuring end according to a formula and determining the length of the floater;
the screen display end comprises a display screen;
the output end of the control module is electrically connected with the input end of the display screen;
and the display screen displays the calculated length of the floater, calculates the length of the floater on the whole river surface in unit time, and displays the evaluation of the pollution degree of the floater on the water surface according to the calculated length in unit time according to a formula.
7. A water surface floater pollution evaluation method based on big data is characterized in that: the evaluation method comprises the following steps:
s1, collecting related data by using a data collection end;
s2, carrying out 3D modeling processing on the collected image by using a modeling processing end;
s3, measuring the related data of the floating object according to the 3D model of the river surface;
s4, calculating the length of the floating object according to the data measured by the data measuring end and the data collected by the data collecting end;
and S5, evaluating the pollution degree of the floating objects according to the calculation result and displaying the pollution degree.
8. The big data-based method for evaluating pollution of the floating objects on the water surface according to claim 7, wherein: in the steps S1-S5, the camera collects a river image, the current meter detects the river flow velocity V, the model building unit converts the river image collected by the camera into a 3D model, and the model scanning unit scans the surface of the built 3D model to form a three-dimensional coordinate a of each scanning pointi=（Xi,Yi,Zi) Forming a river surface three-dimensional coordinate set A = { A = { (A) }1,A2,A3,…,AnAt the same time, separately form a Z-axis coordinate set Z = { Z = { Z = }1,Z2,Z3,…,ZnThe system comprises an abnormality detection unit, a numerical value detection unit, an abnormality judgment unit and a time recording unit, wherein the abnormality detection unit calculates the difference value of Z-axis coordinate values of the same X axis and the same Y axis, the numerical value detection unit detects the calculated numerical value, the abnormality judgment unit judges the detected numerical value to determine whether the detected numerical value is a floating object or not, a reference surface unit establishes a reference surface perpendicular to the water flow direction by taking the point for determining the floating object as a reference point, the position of the reference surface is kept unchanged, and the time recording unit starts to record time T1The three-dimensional coordinate value at the position of the identification datum plane of the intelligent identification unit is recovered to be normal, and the time recording unit stops recording for T2Calculating the length of the floating object according to a formula, and measuring the water according to the length of the floating object per unit timeAnd evaluating the pollution degree of the surface floating objects, and displaying by using the screen display end.
9. The big data-based method for evaluating pollution of the floating objects on the water surface according to claim 8, wherein: the abnormality detection unit calculates a Z-axis coordinate value difference value of the same X-axis and unit Y-axis changes according to a formula:
wherein Z isiIs the Z-axis coordinate of point i, Zi-1Is the Z-axis coordinate of the point i-1, ZDifference (D)Is ZiPoint and Zi-1Coordinate difference of points, YiIs the Y-axis coordinate of point i, Yi-1Is the Y-axis coordinate of the point i-1, and k is a unit value;
when Z isDifference (D)When the Z-axis difference is larger than a set threshold value A, the Z-axis difference is larger than the set threshold valuei-1=（Xi-1,Yi-1,Zi-1) The reference surface unit is A as the starting point of the water surface floateri-1The point is used as a reference point to establish a reference surface perpendicular to the water flow direction, and the time recording unit records the time T1Keeping the X-axis coordinate unchanged, when the Z difference is less than H, indicating that the floating object has flowed through the reference surface, and stopping the time recording unit for T2The total time is as follows:
wherein T is the length of time it takes for the float to flow over the datum;
according to the formula:
wherein V represents the water flow rate, LiRepresents the total length of the float;
and when the Z difference is less than H, indicating that no floating object exists at the detection position, and continuously calculating and detecting the rest three-dimensional coordinate points.
10. The big data-based method for evaluating pollution of the floating objects on the water surface according to claim 9, wherein: the control module calculates the total length of the floater in unit time according to a formula:
in unit time:
when L isGeneral assemblyWhen the water surface floating substance coverage rate is more than or equal to A, the water surface floating substance coverage rate is over a maximum threshold value, and the water body is seriously polluted;
when B is less than or equal to LGeneral assemblyIf the water surface floating object coverage rate is less than A, the water surface floating object coverage rate is larger than a minimum threshold value and smaller than a maximum threshold value, and the water body is generally polluted;
when the Ltotal is less than B, the coverage rate of the surface water surface floaters is less than a minimum threshold value, and the water body is slightly polluted.
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Application publication date: 20200410 Assignee: YUEQING YIJIN ELECTRONIC Co.,Ltd. Assignor: Yueqing taiboheng Electronic Technology Co.,Ltd. Contract record no.: X2023330000673 Denomination of invention: A big data-based system and method for evaluating water surface floating debris pollution Granted publication date: 20201030 License type: Common License Record date: 20230914 Application publication date: 20200410 Assignee: ZHEJIANG NOWKING ELECTRIC APPLIANCE Co.,Ltd. Assignor: Yueqing taiboheng Electronic Technology Co.,Ltd. Contract record no.: X2023330000644 Denomination of invention: A big data-based system and method for evaluating water surface floating debris pollution Granted publication date: 20201030 License type: Common License Record date: 20230914 Application publication date: 20200410 Assignee: BLCH PNEUMATIC SCIENCE & TECHNOLOGY CO.,LTD. Assignor: Yueqing taiboheng Electronic Technology Co.,Ltd. Contract record no.: X2023330000643 Denomination of invention: A big data-based system and method for evaluating water surface floating debris pollution Granted publication date: 20201030 License type: Common License Record date: 20230914 |