CN111832793A - Pollution source positioning method and system based on sudden pollution event of pipe network - Google Patents

Pollution source positioning method and system based on sudden pollution event of pipe network Download PDF

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CN111832793A
CN111832793A CN202010025163.0A CN202010025163A CN111832793A CN 111832793 A CN111832793 A CN 111832793A CN 202010025163 A CN202010025163 A CN 202010025163A CN 111832793 A CN111832793 A CN 111832793A
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water quality
pipe network
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林英姿
刘根
宋成果
李昂
林涣
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Jilin Jianzhu University
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Abstract

The invention relates to a pollution source positioning method and system based on a sudden pollution event of a pipe network. The method comprises the steps of obtaining a hydraulic power and water quality model of a pipe network; determining the first time of the pollutants and the first concentration of the pollutants monitored by a first water quality monitoring point according to the hydraulic power and water quality model of the pipe network; acquiring a plurality of pollution events; determining a second time when the first water quality monitoring point monitors the pollutants of each pollution event and a second concentration of the pollutants; determining a time error and a concentration error; constructing a pollution source positioning model by taking the minimum square of the time error and the minimum square of the concentration error as objective functions, taking the pollution injection node, the pollution injection time and the pollution injection concentration as decision variables and taking the first monitoring point as a constraint condition; and positioning the pollution source according to the pollution source positioning model. The method and the system solve the problem that the pollution source of the sudden pollution event of the pipe network cannot be accurately and quickly positioned in the prior art.

Description

Pollution source positioning method and system based on sudden pollution event of pipe network
Technical Field
The invention relates to the field of pipe network monitoring, in particular to a pollution source positioning method and system based on a pipe network sudden pollution event.
Background
At present, most cities in China put a great deal of energy and work on water source area protection and treatment processes of water treatment plants. The water quality of the urban water supply network is improved by the measures, but accidents such as secondary pollution, pipe explosion or malicious poison throwing of the water supply network or sudden pollution events caused by artificial deliberate destruction are ignored. In general, a whole set of strict treatment processes are set up in water purification plants in order to improve the quality of the water leaving the plants. Raw water subjected to the strict treatment process of a water treatment plant can reach the water quality standard required by the state. However, on the way to the user, various complex biochemical and physical reactions occur in the water supply network, which may cause the water to be polluted to some extent during transportation. Furthermore, some accidents: factors such as water cut-off construction, local damage of a pipe network, negative pressure of a water hammer, artificial and deliberate damage and the like can also cause the water quality safety level of a local water supply pipe network to be reduced. Therefore, when the factory water meeting the national standard reaches the user, the water quality can not reach the standard, and the problem of water quality pollution in the water supply network cannot be ignored for ensuring the water quality safety of the drinking water of the user.
The strain capacity of the water supply industry in China to the pipe network sudden pollution event is poor. After a pollution event occurs, the pipe section with the pollution event needs to be searched point by point according to experience and historical data, and the method for positioning the pipe section with the pollution event has the defects of long time consumption, low accuracy, low working efficiency and the like. Therefore, the method can not realize accurate and quick positioning of the pollution source of the pipe network aiming at the sudden pollution event of the pipe network.
Disclosure of Invention
The invention aims to provide a pollution source positioning method and system based on a sudden pollution event of a pipe network, and solves the problem that the pollution source of the sudden pollution event of the pipe network cannot be accurately and quickly positioned in the prior art.
In order to achieve the purpose, the invention provides the following scheme:
a pollution source positioning method based on a sudden pollution event of a pipe network comprises the following steps:
acquiring a hydraulic power and water quality model of a pipe network;
determining the first time of the pollutants and the first concentration of the pollutants monitored by a first water quality monitoring point according to the hydraulic power and water quality model of the pipe network; the first water quality monitoring point is determined as a first water quality monitoring point for monitoring pollutants;
acquiring a plurality of pollution events;
determining a second time for the first water quality monitoring point to monitor the pollutants of each pollution event and a second concentration of the pollutants according to each pollution event and a hydraulic and water quality model of the pipe network;
subtracting the first time from the second time to obtain a time error;
subtracting the first concentration from the second concentration to obtain a concentration error;
constructing a pollution source positioning model by taking the minimum square of the time error and the minimum square of the concentration error as objective functions, taking the pollution injection node, the pollution injection time and the pollution injection concentration as decision variables and taking the first monitoring point as a constraint condition;
determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration according to the pollution source positioning model;
and positioning a pollution source according to the optimal pollution injection node, the optimal pollution injection time and the optimal pollution injection concentration.
Optionally, the obtaining of the hydraulic power and water quality model of the pipe network specifically includes:
acquiring basic data of a pipe network; the basic data comprises the topological structure of the pipe network, the number of nodes, the node number, the node position, the length of a pipe section between the nodes, the water flow between the nodes, the flow speed between the nodes, the water flow direction, the position of a water quality monitoring point and the number of the water quality monitoring points;
constructing a hydraulic model of the pipe network according to the basic data;
acquiring monitoring data of the water quality monitoring points;
and constructing a hydraulic power and water quality model of the pipe network according to the monitoring data and the hydraulic power model.
Optionally, the acquiring a plurality of pollution events specifically includes:
determining a potential pollution path according to the first monitoring point and the hydraulic power and water quality model;
determining a plurality of potential pollution injection nodes according to the potential pollution paths;
and determining pollution events by utilizing EPANET software according to each potential pollution injection node.
Optionally, the determining an optimal registration node, an optimal contamination injection time, and an optimal contamination injection concentration according to the pollution source location model specifically includes:
and determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration by utilizing a particle swarm optimization algorithm and an iterative algorithm according to the pollution source positioning model.
A pollution source positioning system based on a pipe network sudden pollution event comprises:
the hydraulic and water quality model acquisition module is used for acquiring a hydraulic and water quality model of a pipe network;
the first data determination module is used for determining the first time of the pollutants and the first concentration of the pollutants monitored by a first water quality monitoring point according to the hydraulic power and water quality model of the pipe network; the first water quality monitoring point is determined as a first water quality monitoring point for monitoring pollutants;
a pollution event acquisition module for acquiring a plurality of pollution events;
the second data determination module is used for determining second time when the first water quality monitoring point monitors the pollutants of each pollution event and second concentration of the pollutants according to each pollution event and the hydraulic and water quality model of the pipe network;
the time error determining module is used for subtracting the first time from the second time to obtain a time error;
the concentration error determination module is used for subtracting the first concentration from the second concentration to obtain a concentration error;
the pollution source positioning model determining module is used for constructing a pollution source positioning model by taking the square minimum of the time error and the square minimum of the concentration error as objective functions, taking the pollution injection node, the pollution injection time and the pollution injection concentration as decision variables and taking the first monitoring point as a constraint condition;
the optimal data determination module is used for determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration according to the pollution source positioning model;
and the positioning module is used for positioning the pollution source according to the optimal pollution injection node, the optimal pollution injection time and the optimal pollution injection concentration.
Optionally, the hydraulic and water quality model obtaining module specifically includes:
the basic data acquisition unit is used for acquiring basic data of the pipe network; the basic data comprises the topological structure of the pipe network, the number of nodes, the node number, the node position, the length of a pipe section between the nodes, the water flow between the nodes, the flow speed between the nodes, the water flow direction, the position of a water quality monitoring point and the number of the water quality monitoring points;
the hydraulic model building unit is used for building a hydraulic model of the pipe network according to the basic data;
the monitoring data acquisition unit is used for acquiring monitoring data of the water quality monitoring points;
and the hydraulic and water quality model building unit is used for building a hydraulic and water quality model of the pipe network according to the monitoring data and the hydraulic model.
Optionally, the pollution event obtaining module specifically includes:
the potential pollution path determining unit is used for determining a potential pollution path according to the first monitoring point and the hydraulic power and water quality model;
the potential pollution injection node determining unit is used for determining a plurality of potential pollution injection nodes according to the potential pollution paths;
and the pollution event acquisition unit is used for acquiring pollution events by utilizing EPANET software according to each potential pollution injection node.
Optionally, the optimal data determining module specifically includes:
and the optimal data determining unit is used for determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration by utilizing a particle swarm optimization algorithm and an iterative algorithm according to the pollution source positioning model.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a pollution source positioning method and a system based on a pipe network sudden pollution event, wherein the method establishes a pollution source positioning model which takes the minimum square of the time error and the minimum square of the concentration error as an objective function, takes a pollution injection node, a pollution injection time and a pollution injection concentration as decision variables and takes a first monitoring point as a constraint condition, and quickly and accurately realizes the positioning of a pollution source through monitoring data and the pollution source positioning model, thereby avoiding the defects of long time consumption, low accuracy and low working efficiency of the traditional pipe section positioning of the pollution event caused by finding the pipe section with the pollution event point by point according to the traditional point-by-point investigation of experience and historical data. The sewage injection node, the sewage injection time and the sewage injection concentration can be determined quickly and accurately. Therefore, the pollution source of the sudden pollution event of the pipe network is accurately and quickly positioned.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a pollution source positioning method based on a sudden pollution event of a pipe network according to the present invention;
fig. 2 is a schematic structural diagram of a pollution source positioning system based on a sudden pollution event of a pipe network provided by the 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.
The invention aims to provide a pollution source positioning method and system based on a sudden pollution event of a pipe network, and solves the problem that the pollution source of the sudden pollution event of the pipe network cannot be accurately and quickly positioned in the prior art.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a schematic flow chart of a pollution source positioning method based on a sudden pollution event of a pipe network, and as shown in fig. 1, the pollution source positioning method based on the sudden pollution event of the pipe network includes:
and S101, acquiring a hydraulic power and water quality model of the pipe network.
And acquiring basic data of the pipe network. The basic data comprise the topological structure of the pipe network, the number of nodes, the node number, the node position, the length of a pipe section between the nodes, the water flow between the nodes, the flow speed between the nodes, the water flow direction, the position of a water quality monitoring point and the number of the water quality monitoring point.
And constructing a hydraulic model of the pipe network according to the basic data.
And acquiring monitoring data of the water quality monitoring points.
And constructing a hydraulic power and water quality model of the pipe network according to the monitoring data and the hydraulic power model.
S102, determining the first time of the pollutants and the first concentration of the pollutants monitored by a first water quality monitoring point according to a hydraulic power and water quality model of the pipe network; and determining a first water quality monitoring point as a first water quality monitoring point for monitoring pollutants.
S103, acquiring a plurality of pollution events.
And determining a potential pollution path according to the first monitoring point and the hydraulic power and water quality model.
When the potential pollution path of the pollution source is a certain node pollution event in the pipe network, leading the node set with abnormal numerical values of the first water quality monitoring point, determining the upstream-downstream relationship of each node through the water flow relationship, and when the first water quality monitoring point in the pipe network monitors abnormal data, determining the approximate potential pollution path of the pollution source through the upstream-downstream relationship, namely: and the nodes upstream of the first monitoring point are possibly polluted nodes.
And when the first water quality monitoring point is the only water quality monitoring point for monitoring the pollutants, the potential pollution path of the pollution source is the unique monitoring range of the first water quality monitoring point, namely the unique upstream node of the node.
When the water quality monitoring points monitoring abnormal water quality data have other water quality monitoring points besides the first water quality monitoring point, the potential pollution path of the pollution source is a common monitoring range of all the water quality monitoring points monitoring abnormal water quality data.
And determining a plurality of potential pollution injection nodes according to the potential pollution paths.
And determining pollution events by utilizing EPANET software according to each potential pollution injection node.
And S104, determining a second time for the first water quality monitoring point to monitor the pollutants of each pollution event and a second concentration of the pollutants according to each pollution event and the hydraulic and water quality model of the pipe network.
And S105, subtracting the first time from the second time to obtain a time error.
And S106, subtracting the first concentration from the second concentration to obtain a concentration error.
And S107, constructing a pollution source positioning model by taking the minimum square of the time error and the minimum square of the concentration error as objective functions, taking the pollution injection node, the pollution injection time and the pollution injection concentration as decision variables and taking the first monitoring point as a constraint condition.
Wherein the objective function is minf1=(t1-t0)2And minf2=(c1-c0)2。t1Is the second time, t0A first time, c1Is a second concentration, c0Is the first concentration.
And S108, determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration according to the pollution source positioning model.
And determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration by utilizing a particle swarm optimization algorithm and an iterative algorithm according to the pollution source positioning model.
And S109, positioning a pollution source according to the optimal pollution injection node, the optimal pollution injection time and the optimal pollution injection concentration.
Corresponding to the pollution source positioning method based on the sudden pollution event of the pipe network provided by the invention, the invention also provides a pollution source positioning system based on the sudden pollution event of the pipe network, as shown in fig. 2, the pollution source positioning system based on the sudden pollution event of the pipe network provided by the invention comprises: a hydraulic, water quality model acquisition module 201, a first data determination module 202, a pollution event acquisition module 203, a second data determination module 204, a time error determination module 205, a concentration error determination module 206, a pollution source localization model determination module 207, an optimal data determination module 208, and a localization module 209.
The hydraulic power and water quality model obtaining module 201 is used for obtaining a hydraulic power and water quality model of a pipe network.
The first data determining module 202 is configured to determine a first time of a pollutant and a first concentration of the pollutant monitored by a first water quality monitoring point according to a hydraulic power and water quality model of the pipe network; and determining a first water quality monitoring point as a first water quality monitoring point for monitoring pollutants.
The contamination event acquisition module 203 is configured to acquire a plurality of contamination events.
The second data determining module 204 is configured to determine, according to each pollution event and the hydraulic power and water quality model of the pipe network, a second time when the first water quality monitoring point monitors the pollutant of each pollution event and a second concentration of the pollutant.
The time error determination module 205 is configured to subtract the first time from the second time to obtain a time error.
The concentration error determination module 206 is configured to subtract the first concentration from the second concentration to obtain a concentration error.
The pollution source positioning model determining module 207 is configured to construct a pollution source positioning model by using the square minimum of the time error and the square minimum of the concentration error as objective functions, using the pollution injection node, the pollution injection time, and the pollution injection concentration as decision variables, and using the first monitoring point as a constraint condition.
The optimal data determination module 208 is configured to determine an optimal registration node, an optimal contamination injection time, and an optimal contamination injection concentration according to the pollution source localization model.
The positioning module 209 is configured to position the pollution source according to the optimal pollution injection node, the optimal pollution injection time, and the optimal pollution injection concentration.
The hydraulic and water quality model obtaining module 201 specifically comprises: the device comprises a basic data acquisition unit, a hydraulic model construction unit, a monitoring data acquisition unit and a hydraulic and water quality model construction unit.
The basic data acquisition unit is used for acquiring basic data of the pipe network; the basic data comprise the topological structure of the pipe network, the number of nodes, the node number, the node position, the length of a pipe section between the nodes, the water flow between the nodes, the flow speed between the nodes, the water flow direction, the position of a water quality monitoring point and the number of the water quality monitoring point.
And the hydraulic model building unit is used for building a hydraulic model of the pipe network according to the basic data.
The monitoring data acquisition unit is used for acquiring the monitoring data of the water quality monitoring points.
And the hydraulic and water quality model building unit is used for building a hydraulic and water quality model of the pipe network according to the monitoring data and the hydraulic model.
The pollution event acquiring module 203 specifically includes: the device comprises a potential pollution path determining unit, a potential pollution filling node determining unit and a pollution event acquiring unit.
And the potential pollution path determining unit is used for determining a potential pollution path according to the first monitoring point and the hydraulic power and water quality model.
And the potential pollution injection node determining unit is used for determining a plurality of potential pollution injection nodes according to the potential pollution paths.
And the pollution event acquisition unit is used for acquiring pollution events by utilizing EPANET software according to each potential pollution injection node.
The optimal data determining module 208 specifically includes: and an optimal data determination unit.
And the optimal data determining unit is used for determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration by utilizing a particle swarm optimization algorithm and an iterative algorithm according to the pollution source positioning model.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (8)

1. A pollution source positioning method based on a sudden pollution event of a pipe network is characterized by comprising the following steps:
acquiring a hydraulic power and water quality model of a pipe network;
determining the first time of the pollutants and the first concentration of the pollutants monitored by a first water quality monitoring point according to the hydraulic power and water quality model of the pipe network; the first water quality monitoring point is determined as a first water quality monitoring point for monitoring pollutants;
acquiring a plurality of pollution events;
determining a second time for the first water quality monitoring point to monitor the pollutants of each pollution event and a second concentration of the pollutants according to each pollution event and a hydraulic and water quality model of the pipe network;
subtracting the first time from the second time to obtain a time error;
subtracting the first concentration from the second concentration to obtain a concentration error;
constructing a pollution source positioning model by taking the minimum square of the time error and the minimum square of the concentration error as objective functions, taking the pollution injection node, the pollution injection time and the pollution injection concentration as decision variables and taking the first monitoring point as a constraint condition;
determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration according to the pollution source positioning model;
and positioning a pollution source according to the optimal pollution injection node, the optimal pollution injection time and the optimal pollution injection concentration.
2. The method for positioning the pollution source based on the sudden pollution event of the pipe network according to claim 1, wherein the obtaining of the hydraulic and water quality model of the pipe network specifically comprises:
acquiring basic data of a pipe network; the basic data comprises the topological structure of the pipe network, the number of nodes, the node number, the node position, the length of a pipe section between the nodes, the water flow between the nodes, the flow speed between the nodes, the water flow direction, the position of a water quality monitoring point and the number of the water quality monitoring points;
constructing a hydraulic model of the pipe network according to the basic data;
acquiring monitoring data of the water quality monitoring points;
and constructing a hydraulic power and water quality model of the pipe network according to the monitoring data and the hydraulic power model.
3. The method for positioning pollution sources based on sudden pollution events of a pipe network according to claim 1, wherein the acquiring a plurality of pollution events specifically comprises:
determining a potential pollution path according to the first monitoring point and the hydraulic power and water quality model;
determining a plurality of potential pollution injection nodes according to the potential pollution paths;
and determining pollution events by utilizing EPANET software according to each potential pollution injection node.
4. The method for positioning the pollution source based on the sudden pollution event of the pipe network according to claim 1, wherein the determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration according to the pollution source positioning model specifically comprises:
and determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration by utilizing a particle swarm optimization algorithm and an iterative algorithm according to the pollution source positioning model.
5. A pollution source positioning system based on a pipe network sudden pollution event is characterized by comprising:
the hydraulic and water quality model acquisition module is used for acquiring a hydraulic and water quality model of a pipe network;
the first data determination module is used for determining the first time of the pollutants and the first concentration of the pollutants monitored by a first water quality monitoring point according to the hydraulic power and water quality model of the pipe network; the first water quality monitoring point is determined as a first water quality monitoring point for monitoring pollutants;
a pollution event acquisition module for acquiring a plurality of pollution events;
the second data determination module is used for determining second time when the first water quality monitoring point monitors the pollutants of each pollution event and second concentration of the pollutants according to each pollution event and the hydraulic and water quality model of the pipe network;
the time error determining module is used for subtracting the first time from the second time to obtain a time error;
the concentration error determination module is used for subtracting the first concentration from the second concentration to obtain a concentration error;
the pollution source positioning model determining module is used for constructing a pollution source positioning model by taking the square minimum of the time error and the square minimum of the concentration error as objective functions, taking the pollution injection node, the pollution injection time and the pollution injection concentration as decision variables and taking the first monitoring point as a constraint condition;
the optimal data determination module is used for determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration according to the pollution source positioning model;
and the positioning module is used for positioning the pollution source according to the optimal pollution injection node, the optimal pollution injection time and the optimal pollution injection concentration.
6. The pollution source positioning system based on the sudden pollution event of the pipe network according to claim 5, wherein the hydraulic and water quality model obtaining module specifically comprises:
the basic data acquisition unit is used for acquiring basic data of the pipe network; the basic data comprises the topological structure of the pipe network, the number of nodes, the node number, the node position, the length of a pipe section between the nodes, the water flow between the nodes, the flow speed between the nodes, the water flow direction, the position of a water quality monitoring point and the number of the water quality monitoring points;
the hydraulic model building unit is used for building a hydraulic model of the pipe network according to the basic data;
the monitoring data acquisition unit is used for acquiring monitoring data of the water quality monitoring points;
and the hydraulic and water quality model building unit is used for building a hydraulic and water quality model of the pipe network according to the monitoring data and the hydraulic model.
7. The pollution source positioning system based on the sudden pollution event of the pipe network according to claim 5, wherein the pollution event obtaining module specifically comprises:
the potential pollution path determining unit is used for determining a potential pollution path according to the first monitoring point and the hydraulic power and water quality model;
the potential pollution injection node determining unit is used for determining a plurality of potential pollution injection nodes according to the potential pollution paths;
and the pollution event acquisition unit is used for acquiring pollution events by utilizing EPANET software according to each potential pollution injection node.
8. The pollution source positioning system based on the sudden pollution event of the pipe network according to claim 5, wherein the optimal data determining module specifically comprises:
and the optimal data determining unit is used for determining an optimal registration node, an optimal pollution injection time and an optimal pollution injection concentration by utilizing a particle swarm optimization algorithm and an iterative algorithm according to the pollution source positioning model.
CN202010025163.0A 2020-01-10 2020-01-10 Pollution source positioning method and system based on sudden pollution event of pipe network Pending CN111832793A (en)

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