CN116205087A - Rain and sewage drainage pipe network anomaly analysis method and device based on edge computing gateway - Google Patents
Rain and sewage drainage pipe network anomaly analysis method and device based on edge computing gateway Download PDFInfo
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Abstract
The invention discloses a method and a device for analyzing the anomaly of a rain and sewage drainage pipe network based on an edge computing gateway. According to the invention, the liquid level and the sewage flow rate of the rain and sewage drainage pipe are monitored in real time, the intelligent analysis and the comprehensive diagnosis of the rain and sewage drainage pipe network are realized, and finally, the purpose of timely repairing the rain and sewage drainage pipe network is realized by generating a decision scheme corresponding to the abnormal point situation, so that the hidden danger of drainage is avoided, and the normal operation of the rain and sewage drainage pipe network is ensured.
Description
Technical Field
The invention relates to the technical field of rain and sewage drainage pipe networks, in particular to a rain and sewage drainage pipe network anomaly analysis method and device based on an edge computing gateway.
Background
The rain sewage drainage pipe network is an important component of a drainage system and can be used for conveying and storing domestic sewage, industrial wastewater, rainwater and the like. The pipeline part of the rain sewage drainage pipe network is mainly located under urban pavement, the pipeline space is limited and closed, the pipeline running state cannot be monitored in real time, when the rain sewage drainage pipe network is abnormal, abnormal points cannot be found in time, and accordingly hidden drainage hazards are caused.
Disclosure of Invention
The invention aims to solve the technical problems of weak supervision capability and low operation and maintenance supervision efficiency of the existing rain and sewage drainage pipe network by providing a rain and sewage drainage pipe network anomaly analysis method and device based on an edge computing gateway.
The technical scheme of the invention is as follows:
the rain and sewage drainage pipe network anomaly analysis method based on the edge computing gateway specifically comprises the following steps:
(1) Acquiring field data: acquiring real-time acquisition data of liquid level and flow velocity at a diversion well and a drainage port of the rain sewage drainage pipe network according to a set acquisition frequency through a liquid level sensor and a flow sensor;
(2) Reading data: reading real-time acquisition data through a data acquisition module, and sending the real-time acquisition data to an edge computing gateway;
(3) Pretreatment of data: the data preprocessing module of the edge computing gateway preprocesses the real-time acquisition data and sends the preprocessed real-time acquisition data to the rain sewage drainage pipe network anomaly analysis module of the edge computing gateway;
(4) Abnormality analysis: the rain sewage drainage pipe network anomaly analysis module is used for carrying out monitoring point position anomaly risk analysis, upstream and downstream liquid level difference anomaly risk analysis, upstream and downstream flow velocity difference constant risk analysis and comprehensive data analysis;
(5) Monitoring decision: and sending the comprehensive data analysis result to a comprehensive monitoring decision platform, rendering abnormal point location information in a three-dimensional pipeline system by the comprehensive monitoring decision platform, inputting the abnormal analysis result in the comprehensive data analysis result to an auxiliary decision system in the comprehensive monitoring decision platform for comparison and analysis, and outputting a decision scheme corresponding to the abnormal point location condition.
The data preprocessing module of the edge computing gateway preprocesses the real-time acquisition data within a set time range, filters out the electrical data in the data, only leaves the liquid level value and the flow velocity value data of each diversion well and each drainage port of the rain sewage drainage pipe network according to the liquid level variable address and the flow velocity variable address, and finally packages and sends the preprocessing data within the set time range to the rain sewage drainage pipe network abnormality analysis module.
The monitoring point abnormal risk analysis is to analyze the standard deviation of the liquid level of the monitoring point to obtain a single index of the standard deviation of the liquid level
；
Standard deviation of liquid level
The calculation formula of (a) is shown as formula (1):
in the formula (1), the components are as follows,
collecting data in real time for monitoring the liquid level of the point location within a set time range, < >>
Is half the value of the well depth, +.>
Sampling times of the monitoring point in a set time range;
the calculated liquid level standard deviation of the monitoring point position
Normal liquid level standard deviation reference value of monitoring point position +.>
Comparing to obtain the liquid level standard deviation single index of the monitoring point position>
The method comprises the steps of carrying out a first treatment on the surface of the When->
If the monitoring point is at risk of overflowing, and the liquid level standard deviation single index of the monitoring point is +.>
Assigning a value of 2; when->
The liquid level of the monitoring point is normal, and the single index of the standard deviation of the liquid level is +.>
Assigning a value of 0;
wherein, the normal liquid level standard deviation reference value of the monitoring point position
The calculation formula of (a) is shown as formula (2):
in the formula (2), the amino acid sequence of the compound,
for warning the liquid level->
Is half the value of the well depth, +.>
And->
Are all known fixed values.
The upstream and downstream liquid level difference abnormal risk analysis is to analyze the liquid level change of two adjacent diversion wells or discharge ports to obtain a single index of the liquid level change
；
Liquid level change
The calculation formula of (2) is shown as formula (3);
in the formula (3), the amino acid sequence of the compound,
for the downstream level>
Is the upstream liquid level;
the calculated liquid level change amount
Reference value of the level change with the corresponding pipe section +.>
Comparing to obtain a single index of the liquid level variation>
The method comprises the steps of carrying out a first treatment on the surface of the When->
The corresponding pipe section has a congestion risk, and the liquid level change amount single index of the corresponding pipe section is +.>
Assigning a value of 2; when->
The corresponding pipe section operates normally and the liquid level change amount single index is +.>
The value is 0.
The constant risk analysis of the upstream and downstream flow velocity difference is to analyze the flow velocity variation of two adjacent diversion wells or discharge ports to obtain a single index of the flow velocity variation
；
Flow rate variation
The calculation formula of (2) is shown as formula (4);
in the formula (4), the amino acid sequence of the compound,
for downstream flow rate, +.>
Is the upstream flow rate;
the calculated flow rate variation
Reference value for flow rate variation of corresponding tube section +.>
Comparing to obtain a single index of the flow velocity variation>
The method comprises the steps of carrying out a first treatment on the surface of the When->
The corresponding pipe section is at risk of congestionAnd the flow rate variation of the corresponding pipe section is indicated by a single index +.>
Assigning a value of 2; when->
The corresponding pipe section operates normally and the flow rate variation is indicated by a single index +.>
The value is 0.
The liquid level change reference value
And a flow rate variation reference value->
The engineering construction basic data are calculated, and the engineering construction basic data are known fixed values.
The comprehensive data analysis is to single index of liquid level standard deviation
Level change single index->
And a flow rate variation single index->
And (3) carrying out weighted operation to obtain a comprehensive data analysis result S, wherein a weighted operation formula is shown in a formula (5):
in the formula (5), the amino acid sequence of the compound,
is a single index of the standard deviation of the liquid level>
Level change single index->
And a flow rate variation single index->
，/>
The weight of the three single indexes is obtained.
The weights of the three single indexes are calculated by the following formula:
firstly, quantifying weights based on the degree of interaction among three single indexes, wherein the judgment matrixes of the three single indexes are shown in the following table:
then calculate the geometric mean of the single index of each row through the formula (6)
：
Finally, obtaining the weight of three single indexes by adopting normalization calculation
See specifically formula (7):
in formula (7)
Normalized treatment results for mean ++>
。
The comprehensive data analysis result S is (1, 2) which indicates that the pipe section where the monitoring point is located has risk of overflowing and congestion, the comprehensive data analysis result S is (0, 1) which indicates that the pipe section where the monitoring point is located has risk of congestion, and the comprehensive data analysis result S is 0 which indicates that the pipe section where the monitoring point is located operates normally.
The rain and sewage drainage pipe network anomaly analysis device based on the edge computing gateway comprises a liquid level sensor and a flow sensor which are arranged on the wall of a diversion well, a data acquisition module, the edge computing gateway and a comprehensive monitoring decision platform, wherein the liquid level sensor and the flow sensor are connected with the data input end of the data acquisition module through a wireless communication module, the data output end of the data acquisition module is connected with the data input end of the edge computing gateway data preprocessing module, the data output end of the data preprocessing module is connected with the data input end of the edge computing gateway rain and sewage drainage pipe network anomaly analysis module, and the data output end of the rain and sewage drainage pipe network anomaly analysis module is connected with the comprehensive monitoring decision platform;
the wireless communication module is installed on the wall of a shunt well, a battery box is further arranged on the wall of the shunt well, a well cover is arranged at the well head of the shunt well, an upright post is arranged on the ground of the periphery of the well head of the shunt well, a lightning rod and a solar cell panel are arranged on the upright post, the solar cell panel is connected with the battery box through a wire, and the liquid level sensor, the flow sensor and the wireless communication module are all connected with the battery box in a power supply mode.
The invention has the advantages that:
(1) According to the invention, the liquid level sensor and the flow sensor are arranged at the diversion well and the drainage port of the rain and sewage drainage pipe network, so that the real-time monitoring of the liquid level and the drainage flow rate of the rain and sewage drainage pipe is realized, and the drainage condition of each monitoring point is respectively analyzed and mastered for each monitoring point;
(2) According to the invention, the edge computing gateway rain and sewage drainage pipe network anomaly analysis module is used for computing, assigning and comprehensively analyzing the pollution discharge condition of each monitoring point position, so that the comprehensive data analysis result of each monitoring point position is obtained, and the functions of intelligent analysis and comprehensive diagnosis of the rain and sewage drainage pipe network are realized;
(3) According to the invention, the abnormal analysis result of the whole rain sewage drainage pipe network is displayed through the comprehensive monitoring decision platform, and a decision scheme corresponding to the abnormal point position condition is generated, so that the purpose of timely repairing the rain sewage drainage pipe network is realized, the hidden danger of drainage is avoided, and the normal operation of the rain sewage drainage pipe network is ensured.
Drawings
FIG. 1 is a block diagram showing the construction of an abnormality analyzer for a rain and sewage drain pipe network according to the present invention.
FIG. 2 is a schematic view of the structure of the liquid level sensor and the flow sensor of the present invention disposed at a diverter well.
Reference numerals: the system comprises a 1-liquid level sensor, a 2-flow sensor, a 3-data acquisition module, a 4-edge computing gateway, a 41-data preprocessing module, a 42-rain sewage pipe network anomaly analysis module, a 5-comprehensive monitoring decision platform, a 6-4G wireless communication module, a 7-battery box, an 8-well lid, a 9-upright post, a 10-lightning rod and an 11-solar panel.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the rain and sewage drainage pipe network anomaly analysis device based on the edge computing gateway comprises a liquid level sensor 1 and a flow sensor 2 which are arranged on the wall of a diversion well, a data acquisition module 3, an edge computing gateway 4 and a comprehensive monitoring decision platform 5, wherein the liquid level sensor 1 and the flow sensor 2 are connected with the data input end of the data acquisition module 3 through a 4G wireless communication module 6, the data output end of the data acquisition module 3 is connected with the data input end of a data preprocessing module 41 of the edge computing gateway 4, the data output end of the data preprocessing module 41 is connected with the data input end of a rain and sewage drainage pipe network anomaly analysis module 42 of the edge computing gateway, and the data output end of the rain and sewage drainage pipe network anomaly analysis module 42 is connected with the comprehensive monitoring decision platform 5;
the wireless communication module 6 shown in the figure 2,4G is arranged on the wall of a diversion well, a battery box 7 is further arranged on the wall of the diversion well, a well cover 8 is arranged at the well mouth of the diversion well, rainwater or sewage can be effectively prevented from wetting equipment in the diversion well through shielding of the well cover 8, and equipment damage in the diversion well is avoided; the subaerial stand 9 that is provided with of reposition of redundant personnel wellhead periphery is provided with lightning rod 10 and solar cell panel 11 on the stand 9, and lightning rod 10 prevents to strike a mine and causes the harm to the equipment in the reposition of redundant personnel well, and solar cell panel 11 passes through the wire to be connected with battery box 7 for to battery box 7 power supply, liquid level sensor 1, flow sensor 2 and 4G wireless communication module 6 all are connected with battery box 7 power supply.
The rain and sewage drainage pipe network anomaly analysis method based on the edge computing gateway specifically comprises the following steps:
(1) Acquiring field data: acquiring real-time acquisition data of liquid level and flow velocity at a diversion well and a drainage port of a rain sewage drainage pipe network according to a set acquisition frequency through a liquid level sensor 1 and a flow sensor 2; the system comprises a diversion well and a drainage port of a rain sewage drainage pipe network, wherein the diversion well and the drainage port of the rain sewage drainage pipe network are respectively provided with a liquid level sensor 1 and a flow sensor 2 which are corresponding to each other, and the liquid level sensor and the flow sensor confirm the positioning position through numbers or confirm the positioning position through a GPS positioning sensor;
(2) Reading data: the data acquisition module 3 reads the real-time acquisition data and sends the real-time acquisition data to the edge computing gateway 4;
(3) Pretreatment of data: the data preprocessing module 41 of the edge computing gateway preprocesses the real-time acquisition data within a set time range, filters out the electrical data in the data, only leaves the liquid level value and the flow velocity value data of each diversion well and each drainage port of the rain sewage drainage pipe network according to the liquid level variable address and the flow velocity variable address, and finally packages and sends the preprocessing data within the set time range to the rain sewage drainage pipe network anomaly analysis module 42;
(4) Abnormality analysis: the rain sewage drainage pipe network anomaly analysis module 42 performs monitoring point position anomaly risk analysis, upstream and downstream liquid level difference anomaly risk analysis, upstream and downstream flow velocity difference constant risk analysis and comprehensive data analysis;
a. monitoring point location anomaly risk scoreAnalysis is to analyze the standard deviation of the liquid level at the monitoring point to obtain a single index of the standard deviation of the liquid level
；
Standard deviation of liquid level
The calculation formula of (a) is shown as formula (1):
in the formula (1), the components are as follows,
collecting data in real time for monitoring the liquid level of the point location within a set time range, < >>
Is half the value of the well depth, +.>
Sampling times of the monitoring point in a set time range;
the calculated liquid level standard deviation of the monitoring point position
Normal liquid level standard deviation reference value of monitoring point position +.>
Comparing to obtain the liquid level standard deviation single index of the monitoring point position>
The method comprises the steps of carrying out a first treatment on the surface of the When->
If the monitoring point is at risk of overflowing, and the liquid level standard deviation single index of the monitoring point is +.>
Assigning a value of 2; when->
The liquid level of the monitoring point is normal, and the single index of the standard deviation of the liquid level is +.>
Assigning a value of 0;
wherein, the normal liquid level standard deviation reference value of the monitoring point position
The calculation formula of (a) is shown as formula (2):
in the formula (2), the amino acid sequence of the compound,
for warning the liquid level->
Is half the value of the well depth, +.>
And->
Are all known fixed values;
b. the upstream and downstream liquid level difference abnormal risk analysis is to analyze the liquid level change amounts of two adjacent diversion wells or discharge ports to obtain a single index of the liquid level change amounts
；
Liquid level change
The calculation formula of (2) is shown as formula (3);
in the formula (3), the amino acid sequence of the compound,
for the downstream level>
Is the upstream liquid level;
the calculated liquid level change amount
Reference value of the level change with the corresponding pipe section +.>
(calculated by engineering construction basic data, known fixed value) to obtain a single index of the liquid level variation>
The method comprises the steps of carrying out a first treatment on the surface of the When->
The corresponding pipe section has a congestion risk, and the liquid level change amount single index of the corresponding pipe section is +.>
Assigning a value of 2; when->
The corresponding pipe section operates normally and the liquid level change amount single index is +.>
Assigning a value of 0;
c. the upstream and downstream flow velocity difference constant risk analysis is to analyze the flow velocity variation of two adjacent diversion wells or discharge ports to obtain a single index of the flow velocity variation
；
Flow rate variation
The calculation formula of (2) is shown as formula (4);
in the formula (4), the amino acid sequence of the compound,
for downstream flow rate, +.>
Is the upstream flow rate;
the calculated flow rate variation
Reference value for flow rate variation of corresponding tube section +.>
(calculated from engineering construction basic data, known constant value) to obtain a single index of flow velocity variation>
The method comprises the steps of carrying out a first treatment on the surface of the When->
The corresponding pipe section is at risk of congestion and the flow rate variation single index of the corresponding pipe section +.>
Assigning a value of 2; when->
The corresponding pipe section operates normally and the flow rate variation is indicated by a single index +.>
Assigned a value of 0
d. The comprehensive data analysis is to single index of standard deviation of liquid level
Level change single index->
And a flow rate variation single index->
And (3) carrying out weighted operation to obtain a comprehensive data analysis result S, wherein a weighted operation formula is shown in a formula (5):
in the formula (5), the amino acid sequence of the compound,
is a single index of the standard deviation of the liquid level>
Level change single index->
And a flow rate variation single index->
，/>
The weight of the three single indexes is obtained.
The weights of the three single indexes are calculated by the following formula:
firstly, quantifying weights based on the degree of interaction among three single indexes, wherein the judgment matrixes of the three single indexes are shown in the following table:
then calculate the geometric mean of the single index of each row through the formula (6)
：
Finally, obtaining the weight of three single indexes by adopting normalization calculation
See specifically formula (7):
in formula (7)
Normalized treatment results for mean ++>
；
(5) Monitoring decision: the comprehensive data analysis result is sent to the comprehensive monitoring decision platform 5, the comprehensive data analysis result S is (1, 2) and indicates that the pipe section where the monitoring point is located has risk of overflowing and congestion, the comprehensive data analysis result S is (0, 1) and indicates that the pipe section where the monitoring point is located has risk of congestion, the comprehensive data analysis result S is 0 and indicates that the pipe section where the monitoring point is located operates normally, the comprehensive monitoring decision platform 5 renders abnormal point location information in the three-dimensional pipeline system, and meanwhile, the abnormal analysis result in the comprehensive data analysis result is input into an auxiliary decision system in the comprehensive monitoring decision platform 5 for comparison and analysis, and a decision scheme corresponding to the abnormal point location condition is output.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The rain and sewage drainage pipe network anomaly analysis method based on the edge computing gateway is characterized by comprising the following steps of: the method specifically comprises the following steps:
(1) Acquiring field data: acquiring real-time acquisition data of liquid level and flow velocity at a diversion well and a drainage port of the rain sewage drainage pipe network according to a set acquisition frequency through a liquid level sensor and a flow sensor;
(2) Reading data: reading real-time acquisition data through a data acquisition module, and sending the real-time acquisition data to an edge computing gateway;
(3) Pretreatment of data: the data preprocessing module of the edge computing gateway preprocesses the real-time acquisition data and sends the preprocessed real-time acquisition data to the rain sewage drainage pipe network anomaly analysis module of the edge computing gateway;
(4) Abnormality analysis: the rain sewage drainage pipe network anomaly analysis module is used for carrying out monitoring point position anomaly risk analysis, upstream and downstream liquid level difference anomaly risk analysis, upstream and downstream flow velocity difference constant risk analysis and comprehensive data analysis;
(5) Monitoring decision: and sending the comprehensive data analysis result to a comprehensive monitoring decision platform, rendering abnormal point location information in a three-dimensional pipeline system by the comprehensive monitoring decision platform, inputting the abnormal analysis result in the comprehensive data analysis result to an auxiliary decision system in the comprehensive monitoring decision platform for comparison and analysis, and outputting a decision scheme corresponding to the abnormal point location condition.
2. The edge computing gateway-based rain and sewage drainage pipe network anomaly analysis method according to claim 1, wherein the method comprises the following steps: the data preprocessing module of the edge computing gateway preprocesses the real-time acquisition data within a set time range, filters out the electrical data in the data, only leaves the liquid level value and the flow velocity value data of each diversion well and each drainage port of the rain sewage drainage pipe network according to the liquid level variable address and the flow velocity variable address, and finally packages and sends the preprocessing data within the set time range to the rain sewage drainage pipe network abnormality analysis module.
3. The edge computing gateway-based rain and sewage drainage pipe network anomaly analysis method according to claim 2, wherein the method comprises the following steps: the monitoring point abnormal risk analysis is to analyze the standard deviation of the liquid level of the monitoring point to obtain a single index of the standard deviation of the liquid level
；
Standard deviation of liquid level
The calculation formula of (a) is shown as formula (1):
in the formula (1), the components are as follows,
collecting data in real time for monitoring the liquid level of the point location within a set time range, < >>
Is a half value of the well depth,
sampling times of the monitoring point in a set time range;
the calculated liquid level standard deviation of the monitoring point position
Normal liquid level standard deviation reference value of monitoring point position +.>
Comparing to obtain the liquid level standard deviation single index of the monitoring point position>
The method comprises the steps of carrying out a first treatment on the surface of the When->
If the monitoring point is at risk of overflowing, and the liquid level standard deviation single index of the monitoring point is +.>
Assigning a value of 2; when->
The liquid level of the monitoring point is normal, and the single index of the standard deviation of the liquid level is +.>
Assigning a value of 0;
wherein, the normal liquid level standard deviation reference value of the monitoring point position
The calculation formula of (a) is shown as formula (2):
in the formula (2), the amino acid sequence of the compound,
for warning the liquid level->
Is half the value of the well depth, +.>
And->
Are all known fixed values.
4. The method for analyzing the anomaly of the rain and sewage drainage pipe network based on the edge computing gateway according to claim 3, wherein the method comprises the following steps of: the upstream and downstream liquid level difference abnormal risk analysis is to analyze the liquid level change of two adjacent diversion wells or discharge ports to obtain a single index of the liquid level change
；/>
Liquid level change
The formula of (C) is shown in the specification（3）；
In the formula (3), the amino acid sequence of the compound,
for the downstream level>
Is the upstream liquid level;
the calculated liquid level change amount
Reference value of the level change with the corresponding pipe section +.>
Comparing to obtain a single index of the liquid level variation>
The method comprises the steps of carrying out a first treatment on the surface of the When->
The corresponding pipe section has a congestion risk, and the liquid level change amount of the corresponding pipe section is single-item index
Assigning a value of 2; when->
The corresponding pipe section operates normally and the liquid level change amount single index is +.>
The value is 0.
5. The method for analyzing the anomaly of the rain and sewage drainage pipe network based on the edge computing gateway according to claim 4, wherein the method comprises the following steps: said upstream and downstream flow ratesThe differential constant risk analysis is to analyze the flow velocity variation of two adjacent diversion wells or discharge ports to obtain a single index of the flow velocity variation
；
Flow rate variation
The calculation formula of (2) is shown as formula (4);
in the formula (4), the amino acid sequence of the compound,
for downstream flow rate, +.>
Is the upstream flow rate;
the calculated flow rate variation
Reference value for flow rate variation of corresponding tube section +.>
Comparing to obtain a single index of the flow velocity variation>
The method comprises the steps of carrying out a first treatment on the surface of the When->
The corresponding pipe section has a congestion risk, and the flow velocity variation single index of the corresponding pipe section
Assigning a value of 2; when->
The corresponding pipe section operates normally and the flow rate variation is indicated by a single index +.>
The value is 0.
6. The method for analyzing the anomaly of the rain and sewage drainage pipe network based on the edge computing gateway according to claim 4 or 5, wherein the method comprises the following steps: the liquid level change reference value
And a flow rate variation reference value->
The engineering construction basic data are calculated, and the engineering construction basic data are known fixed values.
7. The edge computing gateway-based rain and sewage drainage pipe network anomaly analysis method according to claim 5, wherein the method comprises the following steps: the comprehensive data analysis is to single index of liquid level standard deviation
Level change single index->
And a flow rate variation single index->
And (3) carrying out weighted operation to obtain a comprehensive data analysis result S, wherein a weighted operation formula is shown in a formula (5):
in the formula (5), the amino acid sequence of the compound,
is a single index of the standard deviation of the liquid level>
Level change single index->
And a flow rate variation single index->
，/>
The weight of the three single indexes is obtained.
8. The edge computing gateway-based rain and sewage drainage pipe network anomaly analysis method according to claim 7, wherein the method comprises the following steps: the weights of the three single indexes are calculated by the following formula:
firstly, quantifying weights based on the degree of interaction among three single indexes, wherein the judgment matrixes of the three single indexes are shown in the following table:
then calculate the geometric mean of the single index of each row through the formula (6)
：/>
Finally, obtaining the weight of three single indexes by adopting normalization calculation
See specifically formula (7):
in formula (7)
Normalized treatment results for mean ++>
。
9. The edge computing gateway-based rain and sewage drainage pipe network anomaly analysis method according to claim 8, wherein the method comprises the following steps: the comprehensive data analysis result S is (1, 2) which indicates that the pipe section where the monitoring point is located has risk of overflowing and congestion, the comprehensive data analysis result S is (0, 1) which indicates that the pipe section where the monitoring point is located has risk of congestion, and the comprehensive data analysis result S is 0 which indicates that the pipe section where the monitoring point is located operates normally.
10. Rain sewage drainage pipe network anomaly analysis device based on edge calculation gateway, its characterized in that: the system comprises a liquid level sensor and a flow sensor which are arranged on the wall of a diversion well, a data acquisition module, an edge computing gateway and a comprehensive monitoring decision platform, wherein the liquid level sensor and the flow sensor are connected with the data input end of the data acquisition module through a wireless communication module;
the wireless communication module is installed on the wall of a shunt well, a battery box is further arranged on the wall of the shunt well, a well cover is arranged at the well head of the shunt well, an upright post is arranged on the ground of the periphery of the well head of the shunt well, a lightning rod and a solar cell panel are arranged on the upright post, the solar cell panel is connected with the battery box through a wire, and the liquid level sensor, the flow sensor and the wireless communication module are all connected with the battery box in a power supply mode.
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