Water surface floating matter pollution assessment system and method based on big data

Abstract

The present invention belongs to the technical field of big data and water environment, and specifically discloses a water surface floating object pollution evaluation system and method based on big data. The present invention is scientific and reasonable, safe and convenient to use, collects river water surface images through a camera, uses a model building unit to build a river water body model, and uses an intelligent recognition unit to scan and calculate the model, and uses a formula to judge the position of floating objects on the river water surface. Since the calculation is performed through the difference between two adjacent coordinate points, the accuracy of floating object measurement can be effectively improved. At the same time, the reference surface unit can be used to accurately measure the length of the floating object, which is helpful to judge the number of floating objects on the water surface, and is conducive to timely knowing the degree of floating object pollution on the river water surface, so that the floating objects can be salvaged in time for the river water body that is about to be seriously polluted, which can effectively prevent the further pollution of the river water body and help improve the water environment pollution.

Description

Technical Field

[0001] The present invention relates to the field of big data and water environment technology, and in particular to a water surface floating matter pollution evaluation system and method based on big data. Background Art

[0002] As people's living standards continue to improve, people's awareness of environmental protection is also constantly increasing. The existing river pollution factors are mainly the discharge of domestic sewage and industrial wastewater. At the same time, the disposal of domestic garbage will directly lead to river pollution. When the domestic garbage in the existing river accumulates to a certain amount, it will be cleaned up. However, at this time, the river water has been polluted. Therefore, timely detection and timely treatment of floating objects in the river can reduce the further pollution of river water by domestic garbage. Most of the existing detections are based on manual observation to observe the number of floating objects on the river surface. However, manual observation is not only manpower-consuming, but also the detection accuracy is not high, and there is human subjective judgment. Therefore, people urgently need a surface floating object pollution evaluation system and method based on big data to solve the above problems. Summary of the invention

[0003] The purpose of the present invention is to provide a water surface floating object pollution assessment system and method based on big data to solve the problems raised in the prior art.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a water surface floating object pollution evaluation system based on big data, the evaluation system includes a data acquisition end, a modeling processing end, a data measurement end, a system calculation end and a screen display end;

[0005] The output end of the data acquisition end is electrically connected to the input end of the modeling processing end and the system computing end, the output end of the modeling processing end is electrically connected to the input end of the data measurement end, the output end of the data measurement end is electrically connected to the input end of the system computing end, and the output end of the system computing end is electrically connected to the input end of the screen display end;

[0006] The data acquisition end is used to collect water environment data, the modeling processing end is used to perform 3D modeling based on the water environment data collected by the data acquisition end, the data measurement end is used to measure data of the 3D model after modeling, the system calculation end is used to calculate the measured data, and the screen display end is used to display the calculation results.

[0007] The above terminals can cooperate with each other to realize the monitoring and measurement of floating objects on the water surface, which is helpful to evaluate the pollution degree of the water environment, reduce the investment of manpower and material resources, make it possible to take timely response measures, and help improve the pollution of the water environment.

[0008] As a preferred technical solution, the data acquisition terminal includes a camera and a flow meter;

[0009] The output end of the camera is electrically connected to the input end of the modeling processing end, and the output end of the tachometer is electrically connected to the input end of the system computing end;

[0010] The camera is used to capture images of the river surface so that the pollution of the river surface can be analyzed based on the captured images. The camera is located next to the river bank. The flow meter is used to detect the flow velocity V of the river water, combined with the time T, as a basis for judging the length of floating objects. The flow meter is located in the river water.

[0011] It can effectively realize the collection of river water data, reduce the time spent on observation and collection, save manpower costs, and at the same time, make the detection data more accurate, which helps to make more accurate judgments on the pollution of river water.

[0012] As a preferred technical solution, the modeling processing end includes a model building unit and an intelligent recognition unit;

[0013] The output end of the camera is electrically connected to the input end of the model building unit, and the output end of the intelligent recognition unit is electrically connected to the input end of the model building unit;

[0014] The model building unit is used to draw the image collected by the camera into a 3D model. The model building unit can be 3D modeling software. The intelligent recognition unit is used to read the 3D model data, identify the interruption points or protrusions of the surface continuity of the water body 3D model, and determine them as floating objects on the water surface.

[0015] The above-mentioned unit can realize the 3D model conversion of the water body, so that the observation of the water body surface can be realized through a computer, which is more intuitive and clear. The intelligent recognition unit is used to automatically identify the discontinuity points or protrusions on the water surface without the need for human observation, thereby improving the recognition accuracy and effectively improving the recognition speed and efficiency.

[0016] As a preferred technical solution, the intelligent recognition unit further includes a model scanning unit, an abnormality detection unit, a numerical detection unit and an abnormality judgment unit;

[0017] The output end of the model scanning unit is electrically connected to the input end of the abnormality detection unit, the output end of the abnormality detection unit is electrically connected to the input end of the value detection unit, and the output end of the value detection unit is electrically connected to the input end of the abnormality judgment unit;

[0018] The model scanning unit is used to scan the surface of the 3D model established by the model building unit, and read the three-dimensional coordinate value of each scanning point, the three-dimensional coordinate value is (X, Y, Z), the abnormality detection unit is used to calculate the difference of the three-dimensional coordinate value scanned and read by the scanning unit, the value detection unit is used to detect the calculated value, and the abnormality judgment unit is used to judge whether the detected value has a sudden change, as a basis for judging whether there are floating objects on the water surface.

[0019] In the above unit, intelligent analysis of the 3D model is realized. By calculating the difference of the coordinate values, the mutation point can be effectively and quickly found. Further judgment can be made on the mutation point to effectively determine whether floating objects appear on the water surface, thereby improving the accuracy of the system's judgment and reducing the error of judgment.

[0020] As a preferred technical solution, the data measurement end includes a reference plane unit and a time recording unit;

[0021] The output end of the model building unit is electrically connected to the input end of the reference plane unit, and the output end of the reference plane unit is electrically connected to the input end of the time recording unit;

[0022] The reference plane unit is used to establish a reference plane with the starting point of the interruption point or the protrusion point in the continuity surface of the 3D model surface as the reference point. The reference point is the front end along the water flow direction. The time recording unit starts to determine the establishment of the reference plane and records the time T1. When the 3D model surface at the reference plane position where the reference point is located recovers its continuity, the floating object on the water surface passes through the reference plane, and the time recording unit stops recording the time T2. The time recording unit can be a timer.

[0023] The above-mentioned unit records the drifting time of floating objects, and can calculate the length of the floating objects by cooperating with the water flow velocity measured by the current meter, which can effectively judge the size of the floating objects and realize accurate measurement of the length of floating objects on the water surface. There is no need for rough estimation of floating objects on the water surface manually, thus improving the accuracy of pollution assessment of floating objects on the water surface.

[0024] As a preferred technical solution, the system computing end includes a control module;

[0025] The output ends of the time recording unit and the tachometer are electrically connected to the input end of the control module;

[0026] The control module is used to intelligently control the entire system, calculate the data measured by the data measurement end according to the formula, and determine the length of the floating object. The control module can be a programmable controller;

[0027] The screen display terminal includes a display screen;

[0028] The output end of the control module is electrically connected to the input end of the display screen;

[0029] The display screen displays the calculated length of the floating objects, calculates the length of the floating objects on the entire river surface per unit time, and displays the evaluation of the pollution degree of the floating objects on the water surface based on the calculated length per unit time according to the formula.

[0030] A method for evaluating water surface floating matter pollution based on big data, the method comprising the following steps:

[0031] S1. Collect relevant data using the data collection terminal;

[0032] S2, using the modeling processing end to perform 3D modeling processing on the collected images;

[0033] S3. Measure the floating object related data based on the 3D model of the river surface;

[0034] 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;

[0035] S5. Evaluate and display the pollution degree of floating objects based on the calculation results.

[0036] As a preferred technical solution, in the steps S1-S5, the camera collects the river surface image, the current meter detects the river flow velocity V, the model building unit converts the river surface image collected by the camera into a 3D model, and the model scanning unit scans the surface of the established 3D model to form the three-dimensional coordinates A of each scanning point. i =(X i ,Y i ,Z i ), forming a three-dimensional coordinate set of the river surface A={A1,A2,A3,…,A n}, and at the same time, a separate Z-axis coordinate set Z={Z1,Z2,Z3,…,Z n The abnormality detection unit calculates the difference of the Z-axis coordinate values ​​of the same X-axis and unit Y-axis, the numerical detection unit detects the calculated numerical value, the abnormality judgment unit judges the detected numerical value to determine whether it is a floating object, the reference plane unit establishes a reference plane perpendicular to the water flow direction with the point of the floating object as the reference point, and keeps the reference plane position unchanged, the time recording unit starts recording at time T1, the intelligent recognition unit recognizes that the three-dimensional coordinate value at the reference plane position returns to normal, the time recording unit stops recording at time T2, calculates the length of the floating object according to the formula, evaluates the pollution degree of floating objects on the water surface according to the length of the floating object per unit time, and displays it using the screen display terminal.

[0037] As a preferred technical solution, the anomaly detection unit calculates the difference in Z-axis coordinate values ​​for the same X-axis and unit Y-axis changes according to the formula:

[0038]

[0039] Among them, Z i is the Z-axis coordinate of point i, Z i-1 is the Z-axis coordinate of point i-1, Z 差 Z i Point and Z i-1 Coordinate difference of the point, Y i is the Y-axis coordinate of point i, Y i-1 is the Y-axis coordinate of point i-1, and k is the Y-axis coordinate difference;

[0040] When Z 差 ≥H, it means that the Z-axis difference is greater than the set threshold, A i-1 =(X i-1 ,Y i-1 ,Z i-1 ) is the starting point of the floating object on the water surface, and the reference plane unit is A i-1 The reference point is used as the reference point to establish a reference plane perpendicular to the water flow direction. The time recording unit records the time T1, keeping the X-axis coordinate unchanged. When the Z difference is less than H, it means that the floating object has flowed through the reference plane. The time recording unit stops at T2. The total time is:

[0041]

[0042] Where T is the time it takes for the floating mass to pass through the reference surface;

[0043] According to the formula:

[0044]

[0045] Where V represents the water velocity, L i Indicates the total length of the float;

[0046] When the Z difference is less than H, it indicates that there is no floating object at the detection position, and the calculation and detection of the remaining three-dimensional coordinate points continue.

[0047] As a preferred technical solution, the control module calculates the total length of floating objects per unit time according to the formula:

[0048]

[0049] In unit time:

[0050] When L 总 When ≥A, it indicates that the coverage rate of floating objects on the water surface exceeds the maximum threshold and the water body is seriously polluted;

[0051] When B≤L 总 When it is less than A, it indicates that the coverage rate of floating objects on the water surface exceeds the minimum threshold and is less than the maximum threshold, and the water body is generally polluted;

[0052] When Ltotal<B, the surface floating debris coverage is less than the minimum threshold and the water body is slightly polluted.

[0053] Compared with the prior art, the beneficial effects of the present invention are: collecting river water surface images through a camera, using a model building unit to build a river water body model, and using an intelligent recognition unit to scan and calculate the model, and using a formula to determine the position of floating objects on the river water surface. Since the calculation is performed through the difference between two adjacent coordinate points, the position of floating objects on the river water surface can be accurately determined, which can effectively improve the accuracy of floating object measurement. At the same time, using the reference surface unit, the length of the floating object can be accurately measured, which is helpful to calculate the length of floating objects on the water surface, help to determine the number of floating objects on the water surface, and help to timely know the degree of pollution of floating objects on the river water surface, so that the floating objects can be salvaged in time for the river water body that is about to be seriously polluted, which can effectively prevent further pollution of the river water body and help to improve water environment pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a schematic diagram of the module composition of a water surface floating matter pollution assessment system based on big data according to the present invention;

[0055] Figure 2 This is a schematic diagram of the module connection structure of a water surface floating object pollution assessment system based on big data of the present invention;

[0056] Figure 3 This is a schematic diagram of the module composition of an intelligent identification unit of a water surface floating object pollution assessment system based on big data according to the present invention;

[0057] Figure 4 This is a schematic diagram of module connections of an intelligent identification unit of a water surface floating object pollution assessment system based on big data according to the present invention;

[0058] Figure 5 A schematic diagram of the steps of a method for evaluating water surface floating matter pollution based on big data according to the present invention;

[0059] Figure 6 This is a flow chart of a method for evaluating water surface floating matter pollution based on big data according to the present invention;

[0060] Figure 7 A schematic diagram of the river distribution structure of a method for evaluating water surface floating matter pollution based on big data according to the present invention;

[0061] Figure 8It is a schematic diagram of the coordinate axis direction of a method for evaluating water surface floating matter pollution based on big data according to the present invention.

[0062] Labels in the figure: 1. River surface; 2. Floating objects; 3. Camera; 4. Reference plane; 5. Current meter. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] like Figure 1-2 As shown, a water surface floating object pollution evaluation system based on big data, the evaluation system includes a data acquisition end, a modeling processing end, a data measurement end, a system calculation end and a screen display end;

[0065] The output end of the data acquisition end is electrically connected to the input end of the modeling processing end and the system computing end, the output end of the modeling processing end is electrically connected to the input end of the data measurement end, the output end of the data measurement end is electrically connected to the input end of the system computing end, and the output end of the system computing end is electrically connected to the input end of the screen display end;

[0066] The data acquisition end is used to collect water environment data, the modeling processing end is used to perform 3D modeling based on the water environment data collected by the data acquisition end, the data measurement end is used to measure data of the 3D model after modeling, the system calculation end is used to calculate the measured data, and the screen display end is used to display the calculation results.

[0067] The data acquisition end includes a camera 3 and a flow meter 5;

[0068] The output end of the camera 3 is electrically connected to the input end of the modeling processing end, and the output end of the flow meter 5 is electrically connected to the input end of the system computing end;

[0069] The camera 3 is used to capture images of the river surface 1 so that the pollution of the river surface 1 can be analyzed based on the captured images. The camera 3 is located next to the river bank. The flow meter 5 is used to detect the flow velocity V of the river water, combined with the time T, as a basis for judging the length of the floating object 2. The flow meter 5 is located in the river water.

[0070] The modeling processing end includes a model building unit and an intelligent recognition unit;

[0071] The output end of the camera 3 is electrically connected to the input end of the model building unit, and the output end of the intelligent recognition unit is electrically connected to the input end of the model building unit;

[0072] The model building unit is used to draw the image captured by the camera 3 into a 3D model. The model building unit can be 3D modeling software. The intelligent recognition unit is used to read the 3D model data, identify the interruption points or protrusions of the surface continuity of the water body 3D model, and determine them as floating objects 2 on the water surface.

[0073] The data measurement end includes a reference plane unit and a time recording unit;

[0074] The output end of the model building unit is electrically connected to the input end of the reference plane unit, and the output end of the reference plane unit is electrically connected to the input end of the time recording unit;

[0075] The reference plane unit is used to establish a reference plane 4 with the starting point of the interruption point or the protrusion point in the continuity surface of the 3D model surface as the reference point. The reference point is the front end along the water flow direction. The time recording unit determines the start of establishment with the reference plane 4 and records the time T1. When the 3D model surface at the position of the reference point on the reference plane 4 restores continuity, the floating object 2 on the water surface passes through the reference plane 4, and the time recording unit stops recording at time T2. The time recording unit can be a timer.

[0076] The above-mentioned unit records the drifting time of the floating object 2, and can calculate the length of the floating object 2 by cooperating with the water flow velocity measured by the current meter 5, and can effectively judge the size of the floating object 2, so as to realize the accurate measurement of the length of the floating object 2 on the water surface, and does not need to make a rough estimate of the floating object 2 on the water surface manually, thereby improving the accuracy of the pollution evaluation of the floating object 2 on the water surface.

[0077] The system computing end includes a control module;

[0078] The output ends of the time recording unit and the tachometer 5 are electrically connected to the input end of the control module;

[0079] The control module is used to intelligently control the entire system, calculate the data measured by the data measuring end according to the formula, and determine the length of the floating object 2. The control module can be a programmable controller;

[0080] The screen display terminal includes a display screen;

[0081] The output end of the control module is electrically connected to the input end of the display screen;

[0082] The display screen displays the calculated length of the floating objects 2, calculates the length of the floating objects 2 on the entire river surface 1 per unit time, and displays the evaluation of the pollution degree of the floating objects 2 on the water surface based on the calculated length per unit time according to the formula.

[0083] like Figure 3 , 4 , 7, 8, the intelligent recognition unit also includes a model scanning unit, an abnormality detection unit, a numerical detection unit and an abnormality judgment unit;

[0084] The output end of the model scanning unit is electrically connected to the input end of the abnormality detection unit, the output end of the abnormality detection unit is electrically connected to the input end of the value detection unit, and the output end of the value detection unit is electrically connected to the input end of the abnormality judgment unit;

[0085] The model scanning unit is used to scan the surface of the 3D model established by the model establishment unit, and read the three-dimensional coordinate value of each scanning point, the three-dimensional coordinate value is (X, Y, Z), the abnormality detection unit is used to calculate the difference of the three-dimensional coordinate value scanned and read by the scanning unit, the value detection unit is used to detect the calculated value, and the abnormality judgment unit is used to judge whether the detected value has a sudden change, as a basis for judging whether there is a floating object 2 on the water surface.

[0086] In the above unit, intelligent analysis of the 3D model is realized. By calculating the difference of the coordinate values, the mutation point can be effectively and quickly found, and further judgment can be made on the mutation point. It can effectively judge whether floating objects 2 appear on the water surface, thereby improving the accuracy of the system judgment and reducing the error of judgment.

[0087] like Figure 5-6 As shown, a method for evaluating water surface floating matter pollution based on big data includes the following steps:

[0088] S1. Collect relevant data using the data collection terminal;

[0089] S2, using the modeling processing end to perform 3D modeling processing on the collected images;

[0090] S3, measuring the relevant data of the floating object 2 according to the 3D model of the river surface 1;

[0091] S4, calculating the length of the floating object 2 according to the data measured by the data measuring end and the data collected by the data collecting end;

[0092] S5. Evaluate and display the pollution degree of the floating objects 2 according to the calculation results.

[0093] like Figure 7-8As shown, in the steps S1-S5, the camera 3 collects the image of the river surface 1, the current meter 5 detects the river flow velocity V, 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 established 3D model to form the three-dimensional coordinates A of each scanning point. i =(X i ,Y i ,Z i ), forming a three-dimensional coordinate set of the river surface 1 A={A1,A2,A3,…,A n}, and at the same time, a separate Z-axis coordinate set Z={Z1,Z2,Z3,…,Z n The abnormality detection unit calculates the difference of the Z-axis coordinate values ​​of the same X-axis and unit Y-axis, the numerical detection unit detects the calculated numerical value, the abnormality judgment unit judges the detected numerical value to determine whether it is a floating object 2, the reference plane unit establishes a reference plane 4 perpendicular to the water flow direction with the point of the floating object 2 as the reference point, and keeps the position of the reference plane 4 unchanged, the time recording unit starts recording at time T1, the intelligent recognition unit recognizes that the three-dimensional coordinate value at the position of the reference plane 4 returns to normal, the time recording unit stops recording at time T2, calculates the length of the floating object 2 according to the formula, evaluates the pollution degree of the floating object 2 on the water surface according to the length of the floating object 2 per unit time, and displays it using the screen display terminal.

[0094] The anomaly detection unit calculates the difference in Z-axis coordinate values ​​for the same X-axis and unit Y-axis change according to the formula:

[0095]

[0096] Among them, Z i is the Z-axis coordinate of point i, Z i-1 is the Z-axis coordinate of point i-1, Z 差 Z i Point and Z i-1 Coordinate difference of the point, Y i is the Y-axis coordinate of point i, Y i-1 is the Y-axis coordinate of point i-1, and k is the Y-axis coordinate difference;

[0097] When Z 差 ≥H, it means that the Z-axis difference is greater than the set threshold, A i-1 =(X i-1 ,Y i-1 ,Z i-1 ) is the starting point of the floating object 2 on the water surface, and the reference plane unit is A i-1The reference plane 4 perpendicular to the water flow direction is established with point as the reference point. The time recording unit records the time T1, keeping the X-axis coordinate unchanged. When the Z difference is less than H, it means that the floating object 2 has flowed through the reference plane 4. The time recording unit stops at T2. The total time is:

[0098]

[0099] Wherein, T is the time taken for the floating object 2 to flow over the reference surface 4;

[0100] According to the formula:

[0101]

[0102] Where V represents the water velocity, L i represents the total length of float 2;

[0103] When the Z difference is less than H, it indicates that there is no floating object 2 at the detection position, and the calculation and detection of the remaining three-dimensional coordinate points continue.

[0104] The control module calculates the total length of the floating object 2 per unit time according to the formula:

[0105]

[0106] In unit time:

[0107] When L 总 When ≥A, it indicates that the coverage rate of floating objects 2 on the water surface exceeds the maximum threshold and the water body is seriously polluted;

[0108] When B≤L 总 When <A, it indicates that the coverage rate of floating objects 2 on the water surface exceeds the minimum threshold and is less than the maximum threshold, and the water body is generally polluted;

[0109] When Ltotal<B, the coverage rate of floating objects 2 on the surface of the water is less than the minimum threshold, and the water body is slightly polluted.

[0110] Embodiment 1:

[0111] The camera 3 collects the image of the river surface 1, the current meter 5 measures the river flow velocity V=0.8m / min, 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 established 3D model to form the three-dimensional coordinates A of each scanning point i =(X i ,Y i ,Z i ), forming a three-dimensional coordinate set of the river surface 1 A={A1,A2,A3,…,A n}, and at the same time, a Z-axis coordinate set Z={1.2,3.5,3.4,…,1.3} is formed separately, the abnormality detection unit calculates the difference of the Z-axis coordinate values ​​of the same X-axis and unit Y-axis, the value detection unit detects the calculated value, the abnormality judgment unit judges the detected value to determine whether it is a floating object 2, the reference plane unit establishes a reference plane 4 perpendicular to the water flow direction with the point of the floating object 2 as the reference point, and keeps the position of the reference plane 4 unchanged, the time recording unit starts recording at T1=0s, the intelligent recognition unit recognizes that the three-dimensional coordinate value at the position of the reference plane 4 returns to normal, the time recording unit stops recording at T2=35s, the length of the floating object 2 is calculated according to the formula, the pollution degree of the floating object 2 on the water surface is evaluated according to the length of the floating object 2 per unit time, and the screen display terminal is used to display it.

[0112] The anomaly detection unit calculates the difference in Z-axis coordinate values ​​for the same X-axis and unit Y-axis change according to the formula:

[0113] ;

[0114] Among them, Z2 is the Z-axis coordinate of point 2, Z1 is the Z-axis coordinate of point 1, and Z 差 is the coordinate difference between point Z2 and point Z1, Y2 is the Y-axis coordinate of point 2, Y1 is the Y-axis coordinate of point 1, and k=1 is the unit value;

[0115] Z 差 ≥H=1, indicating that the Z axis difference is greater than the set threshold, A1=(X1,Y1,Z1)is the starting point of the floating object 2 on the water surface, the reference plane unit establishes a reference plane 4 perpendicular to the water flow direction with point A1 as the reference point, the time recording unit records the time T1=0s, keeps the X axis coordinate unchanged, when Z 差 When <H, it means that the floating object 2 has flowed over the reference surface 4, the time recording unit stops at T2=35s, and the total time is:

[0116]

[0117] Wherein, T=35 is the time taken by the floating object 2 to flow over the reference surface 4;

[0118] According to the formula:

[0119]

[0120] Among them, V = 0.8m / min represents the water velocity, L1 = 0.467m represents the total length of the floating object 2;

[0121] The control module calculates the total length of the floating object 2 per unit time according to the formula:

[0122]

[0123] Within 1 hour:

[0124] When L 总 When ≥A=10m, it indicates that the coverage rate of floating objects 2 on the water surface exceeds the maximum threshold and the water body is seriously polluted;

[0125] When B=3m≤L 总 When <A=10m, it indicates that the coverage rate of floating objects 2 on the water surface exceeds the minimum threshold and is less than the maximum threshold, and the water body is generally polluted;

[0126] When L 总 When <B=3m, the coverage rate of floating objects 2 on the surface of the water is less than the minimum threshold, and the water body is slightly polluted.

[0127] Embodiment 2:

[0128] The camera 3 collects the image of the river surface 1, the current meter 5 measures the river flow velocity V=0.8m / min, 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 established 3D model to form the three-dimensional coordinates A of each scanning point i =(X i ,Y i ,Z i ), forming a three-dimensional coordinate set of the river surface 1 A={A1,A2,A3,…,A n}, and at the same time, a Z-axis coordinate set Z={1.2,1.25,1.2,…,1.3} is formed separately, the abnormality detection unit calculates the difference of the Z-axis coordinate values ​​of the same X-axis and unit Y-axis, the value detection unit detects the calculated value, the abnormality judgment unit judges the detected value to determine whether it is a floating object 2, the reference plane unit establishes a reference plane 4 perpendicular to the water flow direction with the point of the floating object 2 as the reference point, and keeps the position of the reference plane 4 unchanged, the time recording unit starts recording at time T1, the intelligent recognition unit recognizes that the three-dimensional coordinate value at the position of the reference plane 4 returns to normal, the time recording unit stops recording at time T2, the length of the floating object 2 is calculated according to the formula, the pollution degree of the floating object 2 on the water surface is evaluated according to the length of the floating object 2 per unit time, and is displayed using the screen display terminal.

[0129] The anomaly detection unit calculates the difference in Z-axis coordinate values ​​for the same X-axis and unit Y-axis change according to the formula:

[0130]

[0131] Among them, Z2 is the Z-axis coordinate of point 2, Z1 is the Z-axis coordinate of point 1, and Z 差=0.05 is the coordinate difference between point Z2 and point Z1, Y2 is the Y-axis coordinate of the 2 points, Y2 is the Y-axis coordinate of the 2 points, and k=1 is the unit value;

[0132] Z difference < H = 1, indicating that there is no floating object 2 at the detection position, and the calculation and detection of the remaining three-dimensional coordinate points continue.

[0133] In summary, this method can be used to effectively monitor obstacles floating on the water surface in real time, calculate the total amount of obstacles floating on the water surface, evaluate the degree of water environment pollution caused by floating objects on the water surface, and respond to water environment pollution in a timely manner.

[0134] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A water surface floating object pollution assessment system based on big data, characterized by: The evaluation system includes 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 to the input end of the modeling processing end and the system computing end, the output end of the modeling processing end is electrically connected to the input end of the data measurement end, the output end of the data measurement end is electrically connected to the input end of the system computing end, and the output end of the system computing end is electrically connected to the input end of the screen display end; The data acquisition end is used to collect water environment data, the modeling processing end is used to perform 3D modeling based on the water environment data collected by the data acquisition end, the data measurement end is used to measure data of the 3D model after modeling, the system calculation end is used to calculate the measured data, and the screen display end is used to display the calculation results; The data collection end includes a camera and a flow meter; The output end of the camera is electrically connected to the input end of the modeling processing end, and the output end of the tachometer is electrically connected to the input end of the system computing end; The camera is used to capture images of the river surface, and the current meter is used to detect the flow velocity V of the river water, combined with the time T, as a basis for determining the length of the floating object; The modeling processing end includes a model building unit and an intelligent recognition unit; The output end of the camera is electrically connected to the input end of the model building unit, and the output end of the intelligent recognition unit is electrically connected to the input end of the model building unit; The model building unit is used to draw the image collected by the camera into a 3D model, and the intelligent recognition unit is used to read the 3D model data, identify the interruption point or convex point of the surface continuity of the 3D model of the water body, and determine it as a floating object on the water surface; The intelligent recognition unit also includes a model scanning unit, an abnormality detection unit, a value detection unit and an abnormality judgment unit; The output end of the model scanning unit is electrically connected to the input end of the abnormality detection unit, the output end of the abnormality detection unit is electrically connected to the input end of the value detection unit, and the output end of the value detection unit is electrically connected to the input end of the abnormality judgment unit; The model scanning unit is used to scan the surface of the 3D model established by the model establishment unit, and read the three-dimensional coordinate value of each scanning point. The abnormality detection unit is used to calculate the difference of the three-dimensional coordinate values ​​scanned and read by the scanning unit. The value detection unit is used to detect the calculated value, and the abnormality judgment unit is used to judge whether the detected value has a sudden change. The data measurement end includes a reference plane unit and a time recording unit; The output end of the model building unit is electrically connected to the input end of the reference plane unit, and the output end of the reference plane unit is electrically connected to the input end of the time recording unit; The reference plane unit is used to establish a reference plane with the starting point of the interruption point or the protrusion point in the continuity surface of the 3D model surface as the reference point. The time recording unit starts to establish the reference plane and records the time T1. When the 3D model surface at the reference plane position where the reference point is located recovers its continuity, the floating object on the water surface passes through the reference plane, and the time recording unit stops recording the time T2.

2. According to the big data-based water surface floating object pollution assessment system of claim 1, it is characterized by: The system computing end includes a control module; The output ends of the time recording unit and the tachometer are electrically connected to the input end of the control module; The control module is used to intelligently control the entire system, calculate the data measured by the data measurement end according to the formula, and determine the length of the floating object; Where V represents the water velocity, L i represents the total length of the floating object, T is the time it takes for the floating object to flow over the reference surface; The screen display terminal includes a display screen; The output end of the control module is electrically connected to the input end of the display screen; L 总 Indicates the total length of floating objects per unit time; The display screen displays the calculated length of the floating objects, calculates the length of the floating objects on the entire river surface per unit time, and displays the evaluation of the pollution degree of the floating objects on the water surface based on the calculated length per unit time according to the formula.

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