CN113326812A - Regional burst regulation and storage treatment drainage system based on internet - Google Patents
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Abstract
The invention discloses an Internet-based regional fragmented storage regulation and treatment drainage system, which comprises a camera, an identification unit, a cloud storage unit, a drainage analysis unit, a division judgment unit, an alarm unit and intelligent equipment, wherein the camera is connected with the identification unit; the camera is used for detecting the road image of the urban area in real time when raining, generating road image information and transmitting the road image information to the identification unit; the cloud storage unit stores road condition information related to urban roads; according to the invention, through the arrangement of the drainage analysis unit, the horizontal row data, the vertical row data and the deep row data acquired in the identification unit are subjected to detail analysis, the actual numerical value is judged according to the result of the detail analysis to analyze the virtual numerical value, the conversion value between the virtual and the actual values is calculated according to the virtual numerical value, the accuracy of data analysis is increased, the required related data is calculated by applying the conversion relation between the virtual and the display, the time is saved, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of drainage treatment, in particular to an Internet-based regional fragmented storage regulation treatment drainage system.
Background
The drainage system is a general name of various levels of drainage channels and buildings for removing waterlogging, preventing water stains and preventing salt, and is a whole formed by combining facilities for collecting and conveying drainage, treating water quality, discharging and the like in a certain mode;
at present, the drainage of cities is judged by remotely monitoring the drainage condition through professional technicians according to relevant numerical values obtained by drainage, so that human resources are consumed, the drainage condition cannot be automatically acquired, data can not be analyzed, and the safety judgment of drainage cannot be carried out according to relevant data analyzed autonomously;
therefore, an Internet-based regional fragmented storage regulation and treatment drainage system is provided.
Disclosure of Invention
The invention aims to provide an Internet-based regional fragmented storage regulation and treatment drainage system, which can automatically and quickly identify collected related data through the setting of an identification unit, analyze the identified related data through a drainage analysis unit, increase the accuracy of data analysis, realize no need of real-time supervision of technicians, judge set data according to the analyzed related data through the setting of a division judgment unit, save time and improve the working efficiency.
The purpose of the invention can be realized by the following technical scheme:
an Internet-based regional fragmented storage regulation and treatment drainage system comprises a camera, an identification unit, a cloud storage unit, a drainage analysis unit, a division judgment unit, an alarm unit and intelligent equipment;
the camera is used for detecting the road image of the urban area in real time when raining, generating road image information and transmitting the road image information to the identification unit;
the cloud storage unit is stored with road condition information related to urban roads, the road condition information comprises road condition images and matching data, the matching data comprises street number data and street drainage data, the street number data refers to an urban road label corresponding to the road condition image information, the street drainage data refers to a specification related to urban drainage corresponding to the street number data, the street drainage data comprises horizontal data, vertical data and deep data, wherein the horizontal data refers to a numerical value obtained by multiplying length data of drainage ditches in the urban roads by the width of the drainage ditches, the vertical data refers to a numerical value obtained by multiplying height data of the drainage ditches in the urban roads by the length of the drainage ditches, the deep data refers to a numerical value obtained by multiplying height data of the drainage ditches in the urban roads by the width of the drainage ditches, and the identification unit obtains the road condition information from the cloud storage unit, the road condition information and the road shadow information are identified together to obtain processed image data, horizontal row data, longitudinal row data and deep row data, and the processed image data, the horizontal row data, the longitudinal row data and the deep row data are transmitted to a drainage analysis unit together;
the drainage analysis unit is used for performing drainage analysis operation on the processed image data, the horizontal row data, the vertical row data and the deep row data together to obtain a virtual horizontal value, a virtual vertical value, a virtual conversion factor and a virtual vertical value, and transmitting the virtual horizontal value, the virtual vertical value, the virtual conversion factor and the virtual vertical value to the division judgment unit together;
the cloud storage unit is also internally stored with storage information, the storage information comprises floating scale data, floating dirt data and surface water data, wherein the floating scale data refers to name data and image data corresponding to a floater, the floating dirt data refers to the operating speed of the floater in water flows with different speeds, namely the moving speed of the floater relative to an object which is still in the water flows, and the surface water data refers to an image of the water surface;
the alarm unit receives the safety signal and the danger signal, identifies the safety signal, sends the safety signal to the intelligent equipment when identifying the safety signal, converts the safety signal into the danger alarm signal when identifying the danger signal, and sends the danger alarm signal to the intelligent equipment;
and the intelligent equipment receives the safety signal and the danger alarm signal and sends out a corresponding prompt.
As a further improvement of the invention: the specific operation process of the identification operation comprises the following steps:
the method comprises the following steps: acquiring road image information and road condition images, and matching the road image information and the road condition images, specifically: when the road shadow information is matched from the road condition image, judging that the road shadow information exists and generating an existence signal, and when the road shadow information cannot be matched from the road condition image, judging that the road shadow information does not exist and generating an nonexistence signal;
step two: extracting and identifying the existing signal and the non-existing signal, automatically extracting horizontal data, vertical data and deep data corresponding to the road condition image when the existing signal is identified, calibrating the road image information as processing image data, and not extracting the data when the non-existing signal is identified;
step three: and extracting and processing the image data, the horizontal data, the vertical data and the deep data.
As a further improvement of the invention: the specific operation process of the drainage analysis operation is as follows:
f1: acquiring horizontal data, longitudinal data and deep data, and performing detail analysis on the horizontal data, the longitudinal data and the deep data, wherein the specific process of the detail analysis is as follows:
s1: acquiring horizontal data, decomposing the horizontal data, respectively marking two processed numerical values as A1 and A2, acquiring longitudinal data, decomposing the longitudinal data, respectively marking the two processed data as A1 and A3, acquiring deep data, decomposing the deep data, and respectively marking the two processed data as A3 and A2;
s2: according to the data A1, A2 and A3 obtained from the above-mentioned S1, the data A1 and A2 and the horizontal row data are substituted into the calculation formula: a1 a2 HP, where HP is represented as row data, and a1 and A3 are substituted with the row data into the calculation: a1 A3 ZP, where ZP is represented as vertical row data, substituting a2 and A3 with the deep row data into the calculation: a2 A3 ═ SP, where SP is indicated as deep row data;
s3: extracting the three calculation formulas in the S2, solving a ternary linear equation of the three calculation formulas to obtain numerical values A1, A2 and A3, and calibrating A1 to be a transverse value, A2 to be a longitudinal value and A3 to be a vertical value according to the definitions of transverse data, longitudinal data and deep data;
f2: acquiring processed image data, establishing a virtual space rectangular coordinate system according to X, Y and Z, carrying out coordinate marking on the processed image data in the virtual space rectangular coordinate system to obtain a plurality of coordinate points, selecting a plurality of coordinate points with the same Z axis at two ends of a drainage channel, calibrating the coordinate points into transverse selected coordinates, selecting coordinate points with the same X axis coordinate in the transverse selected coordinates, carrying out Y axis difference calculation on the coordinate points, and calibrating the Y axis difference as a virtual horizontal value;
f3: extracting a virtual horizontal value, and bringing the horizontal value into a ratio calculation formula: calculating virtual conversion factors, and calculating virtual longitudinal values and virtual vertical values of the drainage channels according to the virtual conversion factors, the longitudinal values and the vertical values;
f4: and extracting virtual horizontal values, virtual vertical values, virtual conversion factors and virtual vertical values.
As a further improvement of the invention: the specific operation process of the division judgment operation comprises the following steps:
r1: acquiring floating scale data and image data, matching the floating scale data and the image data, extracting name data corresponding to the image data when the matching result of the image data in the floating scale data and the image data is consistent, and not extracting the name data in the floating scale data when the matching result of the image data in the floating scale data and the processed image data is inconsistent;
r2: acquiring surface water data, matching the surface water data with processed image data, calibrating the surface water data into surface water image data, calibrating coordinate points of the surface water image data in a virtual space rectangular coordinate system, calibrating the coordinate points into surface water coordinate points, calculating a difference value of a Z axis according to the Z axis value of the surface water coordinate points and the maximum Z axis value of a coordinate mark of the processed image data, and calibrating the Z axis difference value into a depth value;
r3: the method comprises the following steps of acquiring and processing image data and identifying floaters of the image data, specifically: when an image except the surface water data is identified on the surface water data in the processed image data, coordinate point calibration is carried out on the image except the surface water data, the point is calibrated to be a dirt floating coordinate point, dirt floating coordinate points in two different time points are obtained, the distance between the two dirt floating coordinate points is calculated according to the pythagorean theorem and is calibrated to be a point distance value, the difference value of the two different time points is calculated at the same time and is calibrated to be a difference value, the point distance value and the difference value are brought into a speed calculation formula, and the movement speed is calculated;
r4: extracting the movement speed data, matching the movement speed data with the floating data, selecting corresponding floating data, selecting the water flow speed according to the floating data, and calibrating the water flow speed as floating speed data;
r5: the method comprises the following steps of extracting floating speed data, virtual transverse values, virtual longitudinal values, virtual conversion factors and depth values, and performing drainage calculation on the floating speed data, the virtual transverse values, the virtual longitudinal values, the virtual conversion factors and the depth values, wherein the steps are as follows:
j1: and (3) substituting the virtual horizontal value and the floating speed data into a calculation formula: calculating intermediate values of the floating speed data, namely the virtual horizontal values, multiplying the intermediate values, the virtual vertical values and the depth values to obtain virtual volume values, wherein the virtual volume values refer to the volume of water in the drainage ditch;
j2: the virtual volume value and the virtual conversion factor are brought into the calculation formula together with the drainage value: calculating a time value by the virtual volume value, namely a virtual conversion factor drainage value and a time value, wherein the drainage value is the preset drainage quantity of each time unit;
j3: extracting a time value, comparing the time value with a safety value, judging that water can be discharged within a set time when the time value is smaller than the safety value to generate a safety signal, and judging that the water cannot be discharged within the set time to generate a danger signal when the time value is larger than or equal to the safety value, wherein the safety value refers to a preset safety time;
r6: and extracting the safety signal and the danger signal.
The invention has the beneficial effects that:
(1) through the arrangement of the drainage analysis unit, the horizontal row data, the vertical row data and the deep row data acquired in the identification unit are subjected to detail analysis, actual values are judged according to the result of the detail analysis to analyze virtual values, the conversion value between the virtual value and the actual value is calculated according to the virtual values, the accuracy of data analysis is improved, required related data are calculated by applying the conversion relation between the virtual value and the display, the time is saved, and the working efficiency is improved.
(2) Through the arrangement of the division judging unit, the storage information is obtained from the cloud storage unit and is subjected to data analysis together with the virtual transverse value, the virtual longitudinal value, the virtual conversion factor and the virtual vertical value, so that the related data are further processed, the water flow is calculated according to the virtual image, the water drainage is judged according to the analysis result, and compared with the existing artificial judgment, the time is saved, and the judgment accuracy is improved.
Drawings
The invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to an internet-based regional fragmented storage regulation and treatment drainage system, which comprises a camera, an identification unit, a cloud storage unit, a drainage analysis unit, a division determination unit, an alarm unit and intelligent equipment;
the camera is used for detecting the road image of the urban area in real time when raining, generating road image information and transmitting the road image information to the identification unit;
the cloud storage unit is stored with road condition information related to urban roads, the road condition information comprises road condition images and matching data, the matching data comprises street number data and street drainage data, the street number data refers to an urban road label corresponding to the road condition image information, the street drainage data refers to a specification related to urban drainage corresponding to the street number data, the street drainage data comprises horizontal arrangement data, vertical arrangement data and deep arrangement data, wherein the horizontal arrangement data refers to a numerical value obtained by multiplying length data of drainage ditches in the urban roads by the width of the drainage ditches, the vertical arrangement data refers to a numerical value obtained by multiplying height data of the drainage ditches in the urban roads by the length of the drainage ditches, the deep arrangement data refers to a numerical value obtained by multiplying height data of the drainage ditches in the urban roads by the width of the drainage ditches, and the identification unit obtains the road condition information from the cloud storage unit, and identifying the road condition information and the road shadow information together, wherein the specific operation process of the identification operation is as follows:
the method comprises the following steps: acquiring road image information and road condition images, and matching the road image information and the road condition images, specifically: when the road shadow information is matched from the road condition image, judging that the road shadow information exists and generating an existence signal, and when the road shadow information cannot be matched from the road condition image, judging that the road shadow information does not exist and generating an nonexistence signal;
step two: extracting and identifying the existing signal and the non-existing signal, automatically extracting horizontal data, vertical data and deep data corresponding to the road condition image when the existing signal is identified, calibrating the road image information as processing image data, and not extracting the data when the non-existing signal is identified;
step three: extracting and processing image data, horizontal data, longitudinal data and deep data, and transmitting the data to a drainage analysis unit;
the drainage analysis unit is used for performing drainage analysis operation on the processed image data, the horizontal row data, the vertical row data and the deep row data together, and the specific operation process of the drainage analysis operation is as follows:
f1: acquiring horizontal data, longitudinal data and deep data, and performing detail analysis on the horizontal data, the longitudinal data and the deep data, wherein the specific process of the detail analysis is as follows:
s1: acquiring horizontal data, decomposing the horizontal data, respectively marking two processed numerical values as A1 and A2, acquiring longitudinal data, decomposing the longitudinal data, respectively marking the two processed data as A1 and A3, acquiring deep data, decomposing the deep data, and respectively marking the two processed data as A3 and A2;
s2: according to the data A1, A2 and A3 obtained from the above-mentioned S1, the data A1 and A2 and the horizontal row data are substituted into the calculation formula: a1 a2 HP, where HP is represented as row data, and a1 and A3 are substituted with the row data into the calculation: a1 A3 ZP, where ZP is represented as vertical row data, substituting a2 and A3 with the deep row data into the calculation: a2 A3 ═ SP, where SP is indicated as deep row data;
s3: extracting the three calculation formulas in the S2, solving a ternary linear equation of the three calculation formulas to obtain numerical values A1, A2 and A3, and calibrating A1 to be a transverse value, A2 to be a longitudinal value and A3 to be a vertical value according to the definitions of transverse data, longitudinal data and deep data;
f2: acquiring processed image data, establishing a virtual space rectangular coordinate system according to X, Y and Z, carrying out coordinate marking on the processed image data in the virtual space rectangular coordinate system to obtain a plurality of coordinate points, selecting a plurality of coordinate points with the same Z axis at two ends of a drainage channel, calibrating the coordinate points into transverse selected coordinates, selecting coordinate points with the same X axis coordinate in the transverse selected coordinates, carrying out Y axis difference calculation on the coordinate points, and calibrating the Y axis difference as a virtual horizontal value;
f3: extracting a virtual horizontal value, and bringing the horizontal value into a ratio calculation formula: calculating virtual conversion factors, and calculating virtual longitudinal values and virtual vertical values of the drainage channels according to the virtual conversion factors, the longitudinal values and the vertical values;
f4: extracting virtual horizontal values, virtual vertical values, virtual conversion factors and virtual vertical values, and transmitting the virtual horizontal values, the virtual vertical values, the virtual conversion factors and the virtual vertical values to a division judging unit;
still store the storage information in the cloud storage element, the storage information includes the floating scale data, floating dirty data and surface water data, wherein, the floating scale data refer to name data and image data that the floater corresponds, the floating dirty data refer to the functioning speed of floater in the rivers of different speeds, the floater is for the displacement velocity of the relative motionless article in different rivers promptly, surface water data refer to the image of surface of water, divide the decision-making unit and be used for obtaining the storage information in the cloud storage element, and divide it and virtual horizontal value, virtual vertical value, virtual conversion factor and virtual vertical value together and judge the operation, the concrete operation process of dividing the decision-making operation is:
r1: acquiring floating scale data and image data, matching the floating scale data and the image data, extracting name data corresponding to the image data when the matching result of the image data in the floating scale data and the image data is consistent, and not extracting the name data in the floating scale data when the matching result of the image data in the floating scale data and the processed image data is inconsistent;
r2: acquiring surface water data, matching the surface water data with processed image data, calibrating the surface water data into surface water image data, calibrating coordinate points of the surface water image data in a virtual space rectangular coordinate system, calibrating the coordinate points into surface water coordinate points, calculating a difference value of a Z axis according to the Z axis value of the surface water coordinate points and the maximum Z axis value of a coordinate mark of the processed image data, and calibrating the Z axis difference value into a depth value;
r3: the method comprises the following steps of acquiring and processing image data and identifying floaters of the image data, specifically: when an image except the surface water data is identified on the surface water data in the processed image data, coordinate point calibration is carried out on the image except the surface water data, the point is calibrated to be a dirt floating coordinate point, dirt floating coordinate points in two different time points are obtained, the distance between the two dirt floating coordinate points is calculated according to the pythagorean theorem and is calibrated to be a point distance value, the difference value of the two different time points is calculated at the same time and is calibrated to be a difference value, the point distance value and the difference value are brought into a speed calculation formula, and the movement speed is calculated;
r4: extracting the movement speed data, matching the movement speed data with the floating data, selecting corresponding floating data, selecting the water flow speed according to the floating data, and calibrating the water flow speed as floating speed data;
r5: the method comprises the following steps of extracting floating speed data, virtual transverse values, virtual longitudinal values, virtual conversion factors and depth values, and performing drainage calculation on the floating speed data, the virtual transverse values, the virtual longitudinal values, the virtual conversion factors and the depth values, wherein the steps are as follows:
j1: and (3) substituting the virtual horizontal value and the floating speed data into a calculation formula: calculating intermediate values of the floating speed data, namely the virtual horizontal values, multiplying the intermediate values, the virtual vertical values and the depth values to obtain virtual volume values, wherein the virtual volume values refer to the volume of water in the drainage ditch;
j2: the virtual volume value and the virtual conversion factor are brought into the calculation formula together with the drainage value: calculating a time value by the virtual volume value, namely a virtual conversion factor drainage value and a time value, wherein the drainage value is the preset drainage quantity of each time unit;
j3: extracting a time value, comparing the time value with a safety value, judging that water can be discharged within a set time when the time value is smaller than the safety value to generate a safety signal, and judging that the water cannot be discharged within the set time to generate a danger signal when the time value is larger than or equal to the safety value, wherein the safety value refers to a preset safety time;
r6: extracting the safety signal and the danger signal and transmitting the safety signal and the danger signal to an alarm unit;
the alarm unit receives the safety signal and the danger signal, identifies the safety signal, sends the safety signal to the intelligent equipment when identifying the safety signal, converts the safety signal into the danger alarm signal when identifying the danger signal, and sends the danger alarm signal to the intelligent equipment;
the intelligent device receives the safety signal and the danger alarm signal and sends out corresponding prompts, and the intelligent device is specifically a tablet computer.
When the system works, the camera detects the road image of the urban area in the rainy period in real time, generates road image information and transmits the road image information to the identification unit; the identification unit acquires road condition information from the cloud storage unit, performs identification operation on the road condition information and the road shadow information together to obtain processed image data, horizontal row data, longitudinal row data and deep row data, and transmits the processed image data, the horizontal row data, the longitudinal row data and the deep row data together to the drainage analysis unit; the drainage analysis unit performs drainage analysis operation on the processed image data, the horizontal row data, the vertical row data and the deep row data together to obtain a virtual horizontal value, a virtual vertical value, a virtual conversion factor and a virtual vertical value, and transmits the virtual horizontal value, the virtual vertical value, the virtual conversion factor and the virtual vertical value to the division judgment unit together; the division judging unit acquires storage information from the cloud storage unit, performs division judging operation on the storage information, the virtual transverse value, the virtual longitudinal value, the virtual conversion factor and the virtual vertical value together to obtain a safety signal and a danger signal, and transmits the safety signal and the danger signal to the alarm unit; the alarm unit receives the safety signal and the danger signal, identifies the safety signal, sends the safety signal to the intelligent equipment when identifying the safety signal, converts the safety signal into the danger alarm signal when identifying the danger signal, and sends the danger alarm signal to the intelligent equipment; and the intelligent equipment receives the safety signal and the danger alarm signal and sends out a corresponding prompt.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. An Internet-based regional fragmented storage regulation and treatment drainage system is characterized by comprising a camera, an identification unit, a cloud storage unit, a drainage analysis unit, a division judgment unit, an alarm unit and intelligent equipment;
the camera is used for detecting the road image of the urban area in real time when raining, generating road image information and transmitting the road image information to the identification unit;
the system comprises a cloud storage unit, an urban road processing unit, a drainage analysis unit, a data processing unit and a data processing unit, wherein the cloud storage unit stores urban road related road condition information, the road condition information comprises road condition images and matching data, the matching data comprises street number data and street drainage data, the street drainage data comprises horizontal data, vertical data and deep data, the identification unit acquires the road condition information from the cloud storage unit, carries out identification operation on the road condition information and the road image information together to obtain processed image data, the horizontal data, the vertical data and the deep data, and transmits the processed image data, the horizontal data, the vertical data and the deep data together to the drainage analysis unit;
the drainage analysis unit is used for performing drainage analysis operation on the processed image data, the horizontal row data, the vertical row data and the deep row data together to obtain a virtual horizontal value, a virtual vertical value, a virtual conversion factor and a virtual vertical value, and transmitting the virtual horizontal value, the virtual vertical value, the virtual conversion factor and the virtual vertical value to the division judgment unit together;
the cloud storage unit is also internally stored with storage information, the storage information comprises floating scale data, floating dirt data and surface water data, the division judging unit is used for acquiring the storage information from the cloud storage unit, carrying out division judging operation on the storage information, the virtual transverse value, the virtual longitudinal value, the virtual conversion factor and the virtual vertical value together to obtain a safety signal and a danger signal, and transmitting the safety signal and the danger signal to the alarm unit;
the alarm unit receives the safety signal and the danger signal, identifies the safety signal, sends the safety signal to the intelligent equipment when identifying the safety signal, converts the safety signal into the danger alarm signal when identifying the danger signal, and sends the danger alarm signal to the intelligent equipment;
and the intelligent equipment receives the safety signal and the danger alarm signal and sends out a corresponding prompt.
2. The internet-based regional fragmented conditioning treatment drainage system according to claim 1, characterized in that the specific operation process of the identification operation is:
the method comprises the following steps: acquiring road image information and road condition images, and matching the road image information and the road condition images, specifically: when the road shadow information is matched from the road condition image, judging that the road shadow information exists and generating an existence signal, and when the road shadow information cannot be matched from the road condition image, judging that the road shadow information does not exist and generating an nonexistence signal;
step two: extracting and identifying the existing signal and the non-existing signal, automatically extracting horizontal data, vertical data and deep data corresponding to the road condition image when the existing signal is identified, calibrating the road image information as processing image data, and not extracting the data when the non-existing signal is identified;
step three: and extracting and processing the image data, the horizontal data, the vertical data and the deep data.
3. The internet-based regional fragmented storage and treatment drainage system according to claim 2, characterized in that the specific operation process of the drainage analysis operation is as follows:
f1: acquiring horizontal row data, longitudinal row data and deep row data, and performing detail analysis on the horizontal row data, the longitudinal row data and the deep row data to obtain a horizontal value A1, a longitudinal value A2 and a vertical value A3;
f2: acquiring processed image data, establishing a virtual space rectangular coordinate system according to X, Y and Z, carrying out coordinate marking on the processed image data in the virtual space rectangular coordinate system to obtain a plurality of coordinate points, selecting a plurality of coordinate points with the same Z axis at two ends of a drainage channel, calibrating the coordinate points into transverse selected coordinates, selecting coordinate points with the same X axis coordinate in the transverse selected coordinates, carrying out Y axis difference calculation on the coordinate points, and calibrating the Y axis difference as a virtual horizontal value;
f3: extracting a virtual horizontal value, and bringing the horizontal value into a ratio calculation formula: calculating virtual conversion factors, and calculating virtual longitudinal values and virtual vertical values of the drainage channels according to the virtual conversion factors, the longitudinal values and the vertical values;
f4: and extracting virtual horizontal values, virtual vertical values, virtual conversion factors and virtual vertical values.
4. The internet-based regional fragmented storage regulation and treatment drainage system according to claim 3, characterized in that the specific operation process of the division determination operation is as follows:
r1: acquiring floating scale data and image data, matching the floating scale data and the image data, extracting name data corresponding to the image data when the matching result of the image data in the floating scale data and the image data is consistent, and not extracting the name data in the floating scale data when the matching result of the image data in the floating scale data and the processed image data is inconsistent;
r2: acquiring surface water data, matching the surface water data with processed image data, calibrating the surface water data into surface water image data, calibrating coordinate points of the surface water image data in a virtual space rectangular coordinate system, calibrating the coordinate points into surface water coordinate points, calculating a difference value of a Z axis according to the Z axis value of the surface water coordinate points and the maximum Z axis value of a coordinate mark of the processed image data, and calibrating the Z axis difference value into a depth value;
r3: the method comprises the following steps of acquiring and processing image data and identifying floaters of the image data, specifically: when an image except the surface water data is identified on the surface water data in the processed image data, coordinate point calibration is carried out on the image except the surface water data, the point is calibrated to be a dirt floating coordinate point, dirt floating coordinate points in two different time points are obtained, the distance between the two dirt floating coordinate points is calculated according to the pythagorean theorem and is calibrated to be a point distance value, the difference value of the two different time points is calculated at the same time and is calibrated to be a difference value, the point distance value and the difference value are brought into a speed calculation formula, and the movement speed is calculated;
r4: extracting the movement speed data, matching the movement speed data with the floating data, selecting corresponding floating data, selecting the water flow speed according to the floating data, and calibrating the water flow speed as floating speed data;
r5: and extracting floating speed data, virtual transverse values, virtual longitudinal values, virtual conversion factors and depth values, and performing drainage calculation on the floating speed data, the virtual transverse values, the virtual longitudinal values, the virtual conversion factors and the depth values to obtain safety signals and danger signals.
5. The Internet-based regional fragmented conditioning treatment drainage system according to claim 4, characterized in that the detailed process of the detail analysis is as follows:
s1: acquiring horizontal data, decomposing the horizontal data, respectively marking two processed numerical values as A1 and A2, acquiring longitudinal data, decomposing the longitudinal data, respectively marking the two processed data as A1 and A3, acquiring deep data, decomposing the deep data, and respectively marking the two processed data as A3 and A2;
s2: extracting A1, A2 and A3 obtained in the step S1, combining the extracted A1, A2 and A3 with horizontal row data, vertical row data and deep row data to form three calculation formulas: a1 a2 HP, a1 A3 ZP and a2 A3 SP;
s3: the solution of the three-dimensional equation of once-through is performed on the three calculations in S2, the lateral value a1, the longitudinal value a2, and the vertical value A3.
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