CN115931057A - Underground pipeline discharges early warning system based on city water conservancy data - Google Patents
Underground pipeline discharges early warning system based on city water conservancy data Download PDFInfo
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Abstract
The invention discloses an underground pipeline discharge early warning system based on urban water conservancy data, which relates to the technical field of sewage discharge supervision, and comprises a discharge monitoring module, an urban water conservancy data acquisition module, an environment increment estimation module and an early warning analysis module; the discharge monitoring module is provided with a plurality of monitoring points which are respectively arranged at the discharge ports of the pipelines, and the monitoring points are used for detecting the discharge amount of discharged liquid and the pollutant content; the monitoring point is in communication connection with the early warning analysis module; the urban water conservancy data acquisition module is used for acquiring the river runoff of the discharge area; the environment increment estimation module is used for acquiring precipitation estimation increment of the emission area; the invention carries out comprehensive evaluation on emission influence by integrating urban water conservancy information so as to solve the problems that the existing early warning evaluation method for urban underground pipeline emission supervision is not comprehensive enough and early warning is not accurate enough.
Description
Technical Field
The invention relates to the technical field of sewage discharge supervision, in particular to an underground pipeline discharge early warning system based on urban water conservancy data.
Background
Generally, sewage discharged from an urban underground pipeline is treated by an urban sewage treatment plant and then discharged into a water body. In addition to containing a large amount of organic matters, germs and viruses in urban sewage, due to the advanced development of industry, the water quality of industrial wastewater is increasingly complex, the pollution of runoff sewage is increasingly serious, and the urban sewage contains various toxic and harmful pollutants of various types and different degrees, so that the discharge of urban underground pipelines needs to be supervised in the existing urban water conservancy management process, and the water circulation of urban water conservancy is ensured to be within a reasonable environment-friendly range.
In the prior art, in the process of monitoring and managing the discharge of urban underground pipelines, the method is generally adopted to monitor and manage the discharge of urban underground pipelines by comparing with the existing discharge standard, after the pollutant content in the discharged sewage exceeds the standard, early warning is carried out, the early warning method does not consider the condition of the overall water conservancy data of the city for clearing the pollutants, and the early warning result has larger deviation with the actual discharge influence.
Disclosure of Invention
The invention aims to solve one of the technical problems in the prior art at least to a certain extent, and comprehensively evaluates the emission influence by integrating the urban water conservancy information so as to solve the problems that the existing early warning evaluation method for monitoring the emission of the urban underground pipeline is not comprehensive enough and the early warning is not accurate enough.
In order to achieve the aim, the invention provides an underground pipeline emission early warning system based on urban water conservancy data, which comprises an emission monitoring module, an urban water conservancy data acquisition module, an environment increment estimation module and an early warning analysis module; the discharge monitoring module is provided with a plurality of monitoring points which are respectively arranged at the discharge ports of the pipelines, and the monitoring points are used for detecting the discharge amount of discharged liquid and the content of pollutants; the monitoring point is in communication connection with the early warning analysis module;
the urban water conservancy data acquisition module is used for acquiring the river runoff of the discharge area; the environment increment estimation module is used for acquiring precipitation estimation increment of the emission area;
the early warning analysis module is configured with an early warning analysis strategy, and the early warning analysis strategy comprises: and carrying out integrated analysis on the discharge amount of the discharged liquid, the pollutant content, the river runoff and the precipitation estimation increment to obtain a discharge early warning result, and carrying out discharge early warning based on the early warning result.
Furthermore, the monitoring point is provided with a suspended matter measurer, an easily-precipitated solid detector, an oil content detector, a heavy metal content detector and an organic phosphorus content measurer; the suspended matter measurer is used for obtaining the content of suspended matters in discharged liquid, the easily-settling solid detector is used for obtaining the content of easily-settling solid in the discharged liquid, the oil content detector is used for obtaining the oil content in the discharged liquid, the heavy metal content detector is used for obtaining the content of heavy metals in the discharged liquid, and the organic phosphorus content determinator is used for obtaining the organic phosphorus content in the discharged liquid.
Further, the urban water conservancy data acquisition module comprises a water flow speed acquisition unit and a runoff acquisition unit, wherein the water flow speed acquisition unit is used for acquiring the water flow speed of a river in the discharge area, and the runoff acquisition unit is used for acquiring the runoff of the river in the discharge area.
Further, the water flow rate obtaining unit is configured with a water flow rate obtaining strategy, the water flow rate obtaining strategy comprising: selecting a plurality of river detection points from rivers in the discharge area; transversely dividing the river at a river detection point to obtain the width of the river, and obtaining the water flow detection speed of the river through a flow velocity sensor at the middle point of the transversely divided width of the river;
and calculating the average value of the water flow detection speeds obtained by the plurality of river detection points, and setting the average value as the water flow speed of the river.
Further, the runoff volume obtaining unit is configured with a runoff volume obtaining strategy, where the runoff volume obtaining strategy includes: acquiring a cross-section image of each river detection point by a 3D scanning method, and setting the cross-section image as a runoff cross section;
horizontally placing the runoff cross section to obtain the transverse maximum width and the longitudinal maximum height of the runoff cross section;
the method comprises the following steps that a groups of transverse grids are arranged according to the transverse maximum width, the total length of the groups of transverse grids is greater than the transverse maximum width, b groups of longitudinal grids are arranged according to the longitudinal maximum height, and the total length of the groups of longitudinal grids is greater than the longitudinal maximum height;
putting the runoff cross section into a grid pattern formed by a and b, and acquiring grids covered by the runoff cross section;
acquiring the water level of a river detection point, horizontally corresponding the water level of the river detection point to grids covered by a runoff cross section, acquiring the number of horizontal grids where the water level of the river detection point is located and all grids below the horizontal grids, and converting according to the number of the grids in proportion to obtain the area of a river runoff surface;
and multiplying the area of the river runoff surface by the water flow speed of the river to obtain the river runoff.
Further, the environment increment pre-estimation module is configured with an environment increment pre-estimation strategy, and the environment increment pre-estimation strategy includes: acquiring a precipitation peak value in the last year of a discharge area, and setting half of the precipitation peak value as a first node precipitation;
calculating the average value of the precipitation of the first node and the precipitation peak value, and setting the average value as the precipitation of the second node; calculating the average value of the first node precipitation and zero, and setting the average value as the third node precipitation;
calculating the average value of the first node precipitation and the second node precipitation, and setting the average value as a first reference precipitation; calculating the average value of the first node precipitation and the third node precipitation, and setting the average value as a second reference precipitation;
acquiring the precipitation which is closest to the first reference precipitation in the last year of the discharge area, and setting the precipitation as a first effective point precipitation; acquiring the precipitation which is closest to a second reference precipitation in the last year of the discharge area, and setting the precipitation as a second effective point precipitation;
calculating the average value of the change values of the river runoff of a plurality of river detection points before and after precipitation of the precipitation peak value, and setting the average value as a peak value increment; calculating the average value of the change values of the river runoff of a plurality of river detection points before and after the precipitation of the first effective point, and setting the average value as the increment of the first effective point; calculating the average value of the change values of the river runoff of a plurality of river detection points before and after the precipitation of the second effective point, and setting the average value as the increment of the second effective point;
establishing an increment coordinate system, wherein the abscissa is the precipitation and the ordinate is the runoff increment; corresponding the precipitation peak value, the precipitation amount of the first effective point and the precipitation amount of the second effective point to the abscissa of an increment coordinate system, and corresponding the peak value increment, the increment of the first effective point and the increment of the second effective point to the ordinate of the increment coordinate system to correspondingly obtain a peak point coordinate, a first effective point coordinate and a second effective point coordinate;
sequentially connecting the second effective point coordinate, the first effective point coordinate and the peak point coordinate by taking the original point as a starting point, and prolonging a line segment between the first effective point coordinate and the peak point coordinate by taking the peak point coordinate as an extension point to obtain an incremental change line;
and acquiring a real-time rainfall estimated value, substituting the rainfall estimated value into an increment coordinate system as an abscissa, acquiring the ordinate of a corresponding point on an increment change line, and setting the ordinate as a rainfall estimated increment.
Further, the early warning analysis module comprises an early warning analysis strategy, and the early warning analysis strategy comprises: calculating the discharge amount, the pollutant content, the river runoff and the precipitation estimation increment of the discharged liquid through estimation comparison to obtain a discharge comparison coefficient;
when the emission comparison coefficient is larger than or equal to a first comparison threshold value, outputting a primary emission early warning signal; when the emission comparison coefficient is greater than or equal to the second comparison threshold and smaller than the first comparison threshold, outputting a secondary emission early warning signal; and outputting a normal discharge signal when the discharge comparison coefficient is smaller than the second comparison threshold.
The invention has the beneficial effects that: according to the invention, the discharge amount and the pollutant content of discharged liquid can be detected through the discharge monitoring module, and the river runoff of a discharge area can be obtained through the urban water conservancy data acquisition module, so that the discharge data and the urban water conservancy capacity can be combined through the design; then, the rainfall prediction increment of the discharge area can be obtained through an environment increment prediction module, and the design further improves the accommodation comprehensiveness of data analysis; finally, the early warning analysis module can integrate and analyze the discharge amount of discharged liquid, the pollutant content, the river parameter information of a discharge area and the precipitation prediction increment of the discharge area to obtain a discharge early warning result, and discharge early warning is carried out based on the early warning result, so that the comprehensiveness and the accuracy of the analysis on the discharge influence of the urban underground pipeline are improved;
according to the invention, the water flow speed acquisition unit is provided with a water flow speed acquisition strategy, the runoff acquisition unit is provided with a runoff acquisition strategy, and through the technical scheme in the water flow speed acquisition strategy and the runoff acquisition strategy, more accurate water flow speed data and runoff data can be obtained, so that the problems of inaccurate analysis caused by inaccurate data acquisition and adoption of historical data are solved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
FIG. 1 is a functional block diagram of an emissions warning system of the present invention;
FIG. 2 is a schematic view of an incremental change line in an incremental coordinate system of the present invention;
fig. 3 is a schematic diagram of cross-sectional image acquisition in the 3D scanning method 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 provides an underground pipeline emission early warning system based on urban water conservancy data, which performs comprehensive evaluation on emission influence by integrating urban water conservancy information to solve the problems that the existing early warning evaluation method for urban underground pipeline emission supervision is not comprehensive enough and early warning is not accurate enough.
The emission early warning system comprises an emission monitoring module, an urban water conservancy data acquisition module, an environment increment estimation module and an early warning analysis module; the discharge monitoring module is provided with a plurality of monitoring points which are respectively arranged at the discharge ports of the pipelines and are used for detecting the discharge amount of discharged liquid and the content of pollutants; the monitoring point is in communication connection with the early warning analysis module; in the existing pipeline discharge process, discharge monitoring is carried out, so that the discharge process is supervised;
in specific implementation, a suspended matter measurer, an easily-precipitated solid detector, an oil content detector, a heavy metal content detector and an organic phosphorus content measurer are arranged at a monitoring point; the detector, measurer or determinator employed above may be replaced according to specific use scenarios, for example: in places with more heavy industrial layouts, heavy metal content detectors need to be reserved; in places with more catering industry, oil content detectors are reserved, and other detection types in the prior art also comprise pH value, temperature, fluoride, cyanide, biochemical oxygen demand and the like; specifically, the suspended matter measurer is used for obtaining the content of suspended matters in the discharged liquid, the easily-settling solid detector is used for obtaining the content of easily-settling solids in the discharged liquid, the oil content detector is used for obtaining the oil content in the discharged liquid, the heavy metal content detector is used for obtaining the heavy metal content in the discharged liquid, and the organic phosphorus content determinator is used for obtaining the organic phosphorus content in the discharged liquid.
The urban water conservancy data acquisition module is used for acquiring the river runoff of the discharge area; the environment increment estimation module is used for acquiring precipitation estimation increment of the emission area; the urban water conservancy data acquisition module comprises a water flow speed acquisition unit and a runoff acquisition unit, wherein the water flow speed acquisition unit is used for acquiring the water flow speed of a river in the discharge area, and the runoff acquisition unit is used for acquiring the runoff of the river in the discharge area.
The water flow speed acquisition unit is configured with a water flow speed acquisition strategy, and the water flow speed acquisition strategy comprises the following steps:
step S111, selecting a plurality of river detection points from rivers in the discharge area;
step S112, transversely dividing the river at a river detection point to obtain the width of the river, and obtaining the water flow detection speed of the river at the middle point of the transversely divided width of the river through a flow velocity sensor;
in step S113, the average of the water flow detection speeds obtained at the plurality of river detection points is obtained and set as the water flow speed of the river. In specific implementation, when the detection accuracy of the river flow velocity needs to be enhanced, the flow velocity detection can be performed by selecting a plurality of depths from the midpoint of the width of the horizontal division of the river, for example, the flow velocity detection of the river is performed at the depths of 0.2m, 0.8m and 1.5m, and then the average value is obtained to be used as the river flow velocity of the river detection point.
The runoff obtaining unit is configured with a runoff obtaining strategy, and the runoff obtaining strategy comprises the following steps:
step S121, acquiring a cross-section image of each river detection point by a 3D scanning method, and setting the cross-section image as a runoff cross section;
step S122, horizontally placing the runoff cross section to obtain the transverse maximum width and the longitudinal maximum height of the runoff cross section;
step S123, a group of transverse grids are arranged according to the transverse maximum width, the total length of the group of transverse grids is greater than the transverse maximum width, a group of longitudinal grids are arranged according to the longitudinal maximum height, and the total length of the group of longitudinal grids is greater than the longitudinal maximum height; wherein the specifications and sizes of the transverse grids and the longitudinal grids are consistent;
step S124, putting the runoff cross section into a grid pattern formed by a and b, and obtaining a grid covered by the runoff cross section; in step S124, by dividing the runoff cross section by squares, the area of the runoff cross section can be converted by calculating the area of the squares;
step S125, acquiring the water level of a river detection point, horizontally corresponding the water level of the river detection point to squares covered by a runoff cross section, acquiring the number of horizontal squares where the water level of the river detection point is located and all squares below the horizontal squares, and converting according to the number of the squares in proportion to obtain the area of a river runoff surface; in step S125, the conversion process between the squares and the river runoff surface area is specifically converted according to the scaling of the image, for example, in an image of 1.
In step S126, the area of the river runoff surface is multiplied by the water velocity of the river to obtain the river runoff.
In specific implementation, referring to fig. 3, the 3D scanning method adopted in step S121 includes the following steps:
step S1211, setting the width of the river transverse division as a width line, and selecting a plurality of scanning points on the width line;
step S1212, respectively obtaining the longitudinal depth of the river at each scanning point, and drawing a longitudinal arrangement line according to the longitudinal depth;
step S1213, connecting one end of the bottom of each longitudinal arrangement line in sequence to form a bottom contour line;
step S1214, setting the area surrounded by the width line, the longitudinal arrangement lines at the two sides and the bottom contour line as a cross-section image; the cross-section image of the river detection point can be acquired by the 3D scanning method, and in specific implementation, the cross-section image of the river detection point can be acquired again at intervals of one year due to river accumulation and scouring.
The environment increment pre-estimation module is configured with an environment increment pre-estimation strategy, and the environment increment pre-estimation strategy comprises the following steps:
step S211, acquiring a precipitation peak value in the last year of a discharge area, and setting half of the precipitation peak value as a first node precipitation;
step S212, calculating the average value of the precipitation of the first node and the precipitation peak value, and setting the average value as the precipitation of the second node; calculating the average value of the first node precipitation and zero, and setting the average value as the third node precipitation;
step S213, calculating the average value of the first node precipitation and the second node precipitation, and setting the average value as a first reference precipitation; calculating the average value of the first node precipitation and the third node precipitation, and setting the average value as a second reference precipitation; the peak value of the precipitation amount in a common situation is used as a reference point of the highest precipitation amount, so that the comparison requirement of most precipitation amounts can be met; the first reference precipitation amount and the second reference precipitation amount are obtained through the steps S211, S212, and S213, and the selected points can be more averaged;
step S214, acquiring the precipitation which is closest to the first reference precipitation in the last year of the discharge area, and setting the precipitation as a first effective point precipitation; acquiring the precipitation which is closest to a second reference precipitation in the last year of the discharge area, and setting the precipitation as a second effective point precipitation;
step S215, calculating the average value of the river runoff change values of a plurality of river detection points before and after precipitation peak value precipitation, and setting the average value as peak value increment; calculating the average value of the change values of the river runoff of a plurality of river detection points before and after the precipitation of the first effective point, and setting the average value as the increment of the first effective point; calculating the average value of the change values of the river runoff of a plurality of river detection points before and after the precipitation of the second effective point, and setting the average value as the increment of the second effective point;
step S215, please refer to fig. 2, establishing an incremental coordinate system, where the abscissa is the precipitation amount and the ordinate is the runoff increment; corresponding the precipitation peak value, the precipitation amount of the first effective point and the precipitation amount of the second effective point to the abscissa of an increment coordinate system, corresponding the peak value increment, the increment of the first effective point and the increment of the second effective point to the ordinate of the increment coordinate system, and correspondingly obtaining a peak value point coordinate, a first effective point coordinate and a second effective point coordinate;
step S216, taking the original point as a starting point, sequentially connecting the second effective point coordinate, the first effective point coordinate and the peak point coordinate, taking the peak point coordinate as an extension point, and extending a line segment between the first effective point coordinate and the peak point coordinate to obtain an incremental change line; in the incremental change line of step S216, a first segment of line segment can be formed between the origin and the second effective point coordinate, a second segment of line segment can be formed between the second effective point coordinate and the first effective point coordinate, a third segment of line segment is formed between the first effective point coordinate and the peak point coordinate, and a segment of ray is formed after the peak point coordinate, so that all precipitation situations can be included, and meanwhile, the change of precipitation and the increment of runoff can be subdivided, which is convenient for comparing the estimated precipitation in the following.
And S217, acquiring a real-time rainfall prediction value, substituting the rainfall prediction value serving as an abscissa into an increment coordinate system, acquiring a ordinate of a corresponding point on an increment change line, and setting the ordinate as a rainfall prediction increment.
Early warning analysis module disposes early warning analysis strategy, and early warning analysis strategy includes:
and S3, carrying out integrated analysis on the discharge amount of the discharged liquid, the pollutant content, the river runoff and the precipitation estimation increment to obtain a discharge early warning result, and carrying out discharge early warning based on the early warning result.
Step S3 further includes:
s31, calculating the discharge amount, the pollutant content, the river runoff and the precipitation estimated increment of the discharged liquid through estimation comparison to obtain a discharge comparison coefficient; in step S31, in the calculation process of the pollutant content, the pollutant content is calculated by adding the parts of the suspended matter content, the easily-precipitated solid content, the oil content, the heavy metal content and the organic phosphorus content exceeding the corresponding highest standards, for example, the highest standard of the easily-precipitated solid content is 10ml/L, the easily-precipitated solid content is 15ml/L by measurement, 5ml/L of the exceeded part is added, and after the pollutant content is obtained by adding, the pollutant content is multiplied by the discharge amount of the discharged liquid to obtain the total discharge amount of the pollutant; in the specific implementation, considering that the river has a basic pollution proportion, the safety proportion value of the pollutant emission total amount needs to be reduced, the proportion of 1;
step S32, outputting a primary emission early warning signal when the emission comparison coefficient is greater than or equal to a first comparison threshold value; when the emission comparison coefficient is greater than or equal to the second comparison threshold and smaller than the first comparison threshold, outputting a secondary emission early warning signal; and outputting a normal discharge signal when the discharge comparison coefficient is smaller than the second comparison threshold. In concrete implementation, the first comparison threshold is set to 1/100 and the second comparison threshold is set to 1/200 according to the above-mentioned ratio of 1.
The working principle is as follows: according to the invention, the discharge amount and the pollutant content of discharged liquid can be detected through the discharge monitoring module, the river runoff of a discharge area can be obtained through the urban water conservancy data acquisition module, the rainfall estimation increment of the discharge area can be obtained through the environment increment estimation module, and finally the discharge amount, the pollutant content, the river parameter information of the discharge area and the rainfall estimation increment of the discharge area can be integrated and analyzed through the early warning analysis module to obtain a discharge early warning result.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the media. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), an on-Read Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
Claims (7)
1. An underground pipeline emission early warning system based on urban water conservancy data is characterized by comprising an emission monitoring module, an urban water conservancy data acquisition module, an environment increment estimation module and an early warning analysis module; the discharge monitoring module is provided with a plurality of monitoring points which are respectively arranged at the discharge ports of the pipelines, and the monitoring points are used for detecting the discharge amount of discharged liquid and the pollutant content; the monitoring point is in communication connection with the early warning analysis module;
the urban water conservancy data acquisition module is used for acquiring the river runoff of the discharge area; the environment increment estimation module is used for acquiring precipitation estimation increment of the emission area;
early warning analysis module disposes early warning analysis strategy, early warning analysis strategy includes: and carrying out integrated analysis on the discharge amount of the discharged liquid, the pollutant content, the river runoff and the precipitation estimation increment to obtain a discharge early warning result, and carrying out discharge early warning based on the early warning result.
2. The underground pipeline emission early warning system based on urban water conservancy data according to claim 1, wherein the monitoring point is provided with a suspended matter measurer, an easily-precipitated solid detector, an oil content detector, a heavy metal content detector and an organic phosphorus content measurer; the suspended matter measurer is used for obtaining the content of suspended matters in discharged liquid, the easily-settling solid detector is used for obtaining the content of easily-settling solid in the discharged liquid, the oil content detector is used for obtaining the oil content in the discharged liquid, the heavy metal content detector is used for obtaining the content of heavy metals in the discharged liquid, and the organic phosphorus content determinator is used for obtaining the organic phosphorus content in the discharged liquid.
3. The underground pipeline discharge early warning system based on urban water conservancy data according to claim 1, wherein the urban water conservancy data acquisition module comprises a water flow speed acquisition unit and a runoff volume acquisition unit, the water flow speed acquisition unit is used for acquiring the water flow speed of a river in the discharge area, and the runoff volume acquisition unit is used for acquiring the runoff volume of the river in the discharge area.
4. An underground pipeline discharge early warning system based on urban water conservancy data according to claim 3, wherein the water flow speed acquisition unit is configured with a water flow speed acquisition strategy, and the water flow speed acquisition strategy comprises: selecting a plurality of river detection points from rivers in the discharge area; transversely dividing the river at a river detection point to obtain the width of the river, and obtaining the water flow detection speed of the river through a flow velocity sensor at the midpoint of the width of the transverse division of the river;
and calculating the average value of the water flow detection speeds obtained by the plurality of river detection points, and setting the average value as the water flow speed of the river.
5. The underground pipeline discharge early warning system based on urban water conservancy data according to claim 4, wherein the runoff volume obtaining unit is configured with a runoff volume obtaining strategy, and the runoff volume obtaining strategy comprises: acquiring a cross-section image of each river detection point by a 3D scanning method, and setting the cross-section image as a runoff cross section;
horizontally placing the runoff cross section to obtain the transverse maximum width and the longitudinal maximum height of the runoff cross section;
the method comprises the following steps that a groups of transverse grids are arranged according to the transverse maximum width, the total length of the groups of transverse grids is greater than the transverse maximum width, b groups of longitudinal grids are arranged according to the longitudinal maximum height, and the total length of the groups of longitudinal grids is greater than the longitudinal maximum height;
putting the runoff cross section into a grid pattern formed by a and b, and acquiring a grid covered by the runoff cross section;
acquiring the water level of a river detection point, horizontally corresponding the water level of the river detection point to grids covered by a runoff cross section, acquiring the number of horizontal grids where the water level of the river detection point is located and all grids below the horizontal grids, and converting according to the number of the grids in proportion to obtain the area of a runoff surface of the river;
and multiplying the area of the river runoff surface by the water flow speed of the river to obtain the river runoff.
6. The underground pipeline discharge early warning system based on urban water conservancy data according to claim 1, wherein the environment increment pre-estimation module is configured with an environment increment pre-estimation strategy, and the environment increment pre-estimation strategy comprises: acquiring a precipitation peak value in the last year of a discharge area, and setting half of the precipitation peak value as a first node precipitation;
calculating the average value of the precipitation of the first node and the precipitation peak value, and setting the average value as the precipitation of the second node; calculating the average value of the first node precipitation and zero, and setting the average value as the third node precipitation;
calculating the average value of the first node precipitation and the second node precipitation, and setting the average value as a first reference precipitation; calculating the average value of the first node precipitation and the third node precipitation, and setting the average value as a second reference precipitation;
acquiring the precipitation which is closest to the first reference precipitation in the last year of the discharge area, and setting the precipitation as a first effective point precipitation; acquiring the precipitation amount closest to the second reference precipitation amount in the last year of the discharge area, and setting the precipitation amount as a second effective point precipitation amount;
calculating the average value of the change values of the river runoff of a plurality of river detection points before and after precipitation of the precipitation peak value, and setting the average value as a peak value increment; calculating the average value of the change values of the river runoff of a plurality of river detection points before and after the precipitation of the first effective point, and setting the average value as the increment of the first effective point; calculating the average value of the change values of the river runoff of a plurality of river detection points before and after the precipitation of the second effective point, and setting the average value as the increment of the second effective point;
establishing an increment coordinate system, wherein the abscissa is the precipitation and the ordinate is the runoff increment; corresponding the precipitation peak value, the precipitation amount of the first effective point and the precipitation amount of the second effective point to the abscissa of an increment coordinate system, and corresponding the peak value increment, the increment of the first effective point and the increment of the second effective point to the ordinate of the increment coordinate system to correspondingly obtain a peak point coordinate, a first effective point coordinate and a second effective point coordinate;
sequentially connecting a second effective point coordinate, a first effective point coordinate and a peak point coordinate by taking the original point as a starting point, and prolonging a line segment between the first effective point coordinate and the peak point coordinate by taking the peak point coordinate as an extension point to obtain an incremental change line;
and acquiring a real-time rainfall prediction value, substituting the rainfall prediction value serving as an abscissa into an increment coordinate system, acquiring a ordinate of a corresponding point on an increment change line, and setting the ordinate as a rainfall prediction increment.
7. The underground pipeline discharge early warning system based on urban water conservancy data of claim 1, wherein the early warning analysis module comprises an early warning analysis strategy, the early warning analysis strategy comprising: calculating the discharge amount, the pollutant content, the river runoff and the precipitation estimation increment of the discharged liquid through estimation comparison to obtain a discharge comparison coefficient;
when the emission comparison coefficient is larger than or equal to a first comparison threshold value, outputting a primary emission early warning signal; when the emission comparison coefficient is greater than or equal to the second comparison threshold and smaller than the first comparison threshold, outputting a secondary emission early warning signal; and outputting a normal discharge signal when the discharge comparison coefficient is smaller than the second comparison threshold.
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