CN111179118B - Urban drainage pipe network monitoring point layout method and system based on spatial data model - Google Patents
Urban drainage pipe network monitoring point layout method and system based on spatial data model Download PDFInfo
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Abstract
The invention relates to a method for arranging monitoring points of an urban drainage pipe network based on a spatial data model, which comprises the following steps: s1: constructing a vector urban drainage pipe network data space model, and determining the distribution number N of main pipe network nodes, branch terminal nodes and monitoring points and an optimal tolerance coefficient X; s2: acquiring the total quantity endCount of upstream branch peripheral nodes of each trunk pipeline network node and the total quantity sum (endCount) of peripheral nodes in the model, and calculating the monitoring quantity perJcdCount of each monitoring point; s3: judging whether each trunk pipeline network node meets the condition that the endCount is not less than perJcdCount along the upstream, if so, selecting, otherwise, judgingIf yes, selecting, otherwise, generating monitoring points by the selected trunk pipe network node, wherein allCount is the number of upstream branch terminal nodes of the non-selected trunk pipe network node in the upstream of the trunk pipe network node. Compared with the prior art, the method has the advantages of strong objectivity, cost saving and the like.
Description
Technical Field
The invention relates to the technical field of drainage pipe networks, in particular to a method and a system for arranging monitoring points of an urban drainage pipe network based on a spatial data model.
Background
The drainage pipe network is an important infrastructure for guaranteeing the normal operation of cities, enhances the monitoring of the drainage pipe network, and has important significance for protecting the drainage facility and managing the sound urban drainage informatization. On one hand, the sewage pipe network pollution discharge condition is mastered in time, the hidden danger of water quality pollution is discovered, the forecasting and early warning capability of urban water quality pollution is improved, and the ecological environment of water resources is protected; on the other hand, the rainwater pipe network is monitored, the drainage capacity of the rainwater pipe network is mastered, the running condition of the rainwater pipe network is evaluated, the resource allocation of the rainwater pipe network is optimized, the urban rainwater flood management is enhanced, and the capacity of the city for resisting waterlogging disasters is improved.
In the aspect of drainage pipe network monitoring, besides establishing an online monitoring system, the problem of realizing the drainage pipe network informatization technology is solved, the other key point is the optimization and arrangement of monitoring points, because manpower, material resources, financial resources and the like are limited, the arrangement of the monitoring points aims at utilizing the monitoring points as few as possible, the related information of the monitored objects can be comprehensively reflected, and the urban drainage pipe network monitoring distribution becomes a hot problem for research in recent years along with the development of the modern Internet of things technology, mobile interconnection and big data cloud computing technology. However, the research thought of the optimal arrangement of the monitoring points of the drainage pipe network is biased to theory and lacks practical application; in addition, a manual analysis and point distribution mode is difficult to realize point distribution balance and scientific monitoring, the method has a certain subjectivity on evaluating the running condition of the urban drainage pipe network and improving the urban flood drainage and water logging prevention capability, the current mainstream optimization arrangement method is to perform clustering analysis on nodes by using a statistical method, the method is still largely dependent on artificial judgment although the clustering principle is set, the identification of the correlation is only an auxiliary effect, the method is more dependent on the analysis and the recognition of the manual pipe network topological structure, the final arrangement result of the monitoring points is greatly influenced by human factors, the point distribution balance and the scientific monitoring are difficult to realize, and the method has a certain limitation on evaluating the running condition of the urban drainage pipe network and improving the urban flood drainage and water logging prevention capability.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method and a system for arranging monitoring points of a municipal drainage pipe network based on a spatial data model, which solve the problem that the monitoring points of the municipal drainage pipe network cannot be optimized and arranged in a large area by the traditional method, can quickly generate the distribution positions of the monitoring points of the municipal drainage pipe network, improve the distribution efficiency of the monitoring points and reduce the labor cost.
The aim of the invention can be achieved by the following technical scheme:
a method for arranging monitoring points of an urban drainage pipe network based on a spatial data model comprises the following steps:
s1: constructing a vector urban drainage pipe network data space model, and determining the distribution number N of main pipe network nodes, branch terminal nodes and monitoring points and an optimal tolerance coefficient X;
s2: acquiring the total quantity endCount of upstream branch peripheral nodes of each main pipe network node and the total quantity sum (endCount) of peripheral nodes in the model, and calculating the monitoring quantity perJcdCount of each monitoring point, wherein the calculation formula is as follows:
s3: traversing each trunk pipe network node according to the sequence from the small upstream node number to the large upstream node number, judging whether the trunk pipe network node meets the condition that endCount is more than or equal to perJcdCount, if yes, selecting the trunk pipe network node, otherwise, continuing to judgeIf yes, the trunk pipe network node is selected, otherwise, the next trunk pipe network node is judged, and monitoring points are generated for the selected trunk pipe network node, wherein allCount is the total number of upstream branch terminal nodes of the unselected trunk pipe network node in the upstream of the trunk pipe network node.
Further, the number N of the monitoring points is determined according to the layout cost.
Further, the calculation process of X is as follows:
enumerating alternative tolerance coefficients X between 0 and 1 i The enumeration ranges are as follows:
when the number of the monitoring points finally selected in the step S3 is equal to or closest to N, corresponding X i As X.
Further, the vector city drainage pipeline network data space model comprises a main pipeline and a branch pipeline, wherein the main pipeline node is arranged on the main pipeline, the branch terminal node is arranged on the branch pipeline, an inspection well is arranged on the main pipeline node, and the main pipeline is converged to a discharge port and a sewage treatment plant.
An urban drainage pipe network monitoring point layout system based on a spatial data model, comprising:
the model construction module is used for constructing a vector urban drainage pipe network data space model;
the model analysis module is used for analyzing the vector city drainage pipe network data space model and determining the distribution number N of main pipe network nodes, branch terminal nodes and monitoring points and the optimal tolerance coefficient X;
the monitoring design module is used for arranging monitoring points on the vector city drainage pipe network data space model, and the specific process is as follows:
traversing the main pipe network nodes according to the sequence from small upstream nodes to large upstream nodes, obtaining the total quantity endCount of upstream branch peripheral nodes of each main pipe network node and the total quantity sum (endCount) of upstream peripheral nodes in a model, and calculating the monitoring quantity perJcdCount of each monitoring point, wherein the calculation formula is as follows:
judging whether endCount is more than or equal to perJcdCount is true, if yes, selecting the trunk pipe network node, otherwise, continuing to judgeIf yes, the trunk pipe network node is selected, if notAnd judging the next main pipe network node, and generating monitoring points for the selected main pipe network node, wherein allCount is the total number of upstream branch peripheral nodes of the main pipe network node which is not selected in the upstream of the main pipe network node.
Further, the number N of the monitoring points is determined according to the layout cost.
Further, the calculation process of X is as follows:
enumerating alternative tolerance coefficients X between 0 and 1 i The enumeration ranges are as follows:
when the number of the monitoring points finally selected in the step S3 is equal to or closest to N, corresponding X i As X.
Further, the vector city drainage pipeline network data space model comprises a main pipeline and a branch pipeline, wherein the main pipeline node is arranged on the main pipeline, the branch terminal node is arranged on the branch pipeline, an inspection well is arranged on the main pipeline node, and the main pipeline is converged to a discharge port and a sewage treatment plant.
Compared with the prior art, the invention has the following beneficial effects:
(1) The invention establishes a vector city drainage pipe network data space model, determines the distribution number and the optimal tolerance coefficient of main pipe network nodes, branch terminal nodes and monitoring points, uses a space data analysis method and a convenient calculation formula, considers the number of all main pipe networks and branch pipe networks in the model, firstly determines the pipe network branch number required to be monitored by each monitoring point, then introduces the optimal tolerance coefficient, ensures the monitoring range of each monitoring point to be similar, evenly distributes, maximally utilizes the monitoring points, has objective calculation method and less subjective factors, can objectively realize the uniform distribution of the monitoring points, has expandability in the selection and layout of the monitoring nodes, and can be applied to the distribution of various monitoring points of the drainage pipe network, such as the pressure monitoring points, the well liquid level monitoring points and the water quality monitoring points;
(2) According to the invention, the optimal tolerance coefficient is introduced, the alternative tolerance coefficient is enumerated between 0 and 1, when the number of the finally selected monitoring points is equal to or closest to the distribution number N of the monitoring points, the corresponding alternative tolerance coefficient is used as the optimal tolerance coefficient, so that each monitoring point can be distributed as evenly as possible, the monitoring points are utilized to the maximum extent, and the cost is saved;
(3) According to the invention, the trunk pipeline network node is arranged on the trunk pipeline, the branch terminal node is arranged on the branch pipeline network, the inspection well is arranged on the trunk pipeline network node, and the monitoring point is arranged in the inspection well, so that the monitoring range of the monitoring point is maximum, the utilization rate of the monitoring point is high, and the layout cost is saved.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a distribution diagram of monitoring points.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are given, but the protection scope of the present invention is not limited to the following examples.
Example 1
A city drainage pipe network monitoring point layout method based on a space data model, as shown in figure 1, comprises the following steps:
s1: constructing a vector urban drainage pipe network data space model, determining the distribution number N of main pipe network nodes, branch terminal nodes and monitoring points and an optimal tolerance coefficient X, wherein the distribution number N of the monitoring points is initial quantification, and according to budget establishment, the optimal tolerance coefficient X is empirically set;
s2: acquiring the total quantity endCount of upstream branch peripheral nodes of each main pipe network node and the total quantity sum (endCount) of peripheral nodes in the model, and calculating the monitoring quantity perJcdCount of each monitoring point, wherein the calculation formula is as follows:
s3: traversing each trunk pipe network node according to the sequence from the small upstream node number to the large upstream node number, judging whether the trunk pipe network node meets the condition that endCount is more than or equal to perJcdCount, if yes, selecting the trunk pipe network node, otherwise, continuing to judgeIf yes, the main pipe network node is selected, otherwise, the next main pipe network node is judged, monitoring points are generated for the selected main pipe network node, allCount is the total number of upstream branch terminal nodes of the main pipe network node which is not selected in the upstream of the main pipe network node, and the arrangement result of the monitoring points is shown in figure 2.
The vector city drainage pipeline network data space model comprises a trunk pipeline and a branch trunk pipeline, wherein a trunk pipeline node is arranged on the trunk pipeline, a branch terminal node is arranged on the branch trunk pipeline, an inspection well is arranged on the trunk pipeline node, and the trunk pipeline is converged to a discharge port and a sewage treatment plant.
Example two
The calculation process of the optimal tolerance coefficient X in this embodiment is:
enumerating alternative tolerance coefficients X between 0 and 1 i The enumeration ranges are as follows:
to each alternative tolerance coefficient X i Substituting into steps S1-S3 in the first embodiment, when the number of the monitoring points finally selected in step S3 is equal to N or is closest to N, corresponding X i Most reasonably, as the final X, X obtained by calculation is substituted into the steps S1 to S3 in the first embodiment to select the monitoring point.
The remainder is the same as in embodiment one.
Example III
The embodiment provides a city drainage pipe network monitoring point layout system based on a space data model, which corresponds to the embodiment, and comprises:
the model construction module is used for constructing a vector urban drainage pipe network data space model;
the model analysis module is used for analyzing the vector city drainage pipe network data space model and determining the distribution number N of main pipe network nodes, branch terminal nodes and monitoring points and the optimal tolerance coefficient X;
the monitoring design module is used for arranging monitoring points on the vector city drainage pipe network data space model, and the specific process is as follows:
traversing the main pipe network nodes according to the sequence from small upstream nodes to large upstream nodes, obtaining the total quantity endCount of upstream branch peripheral nodes of each main pipe network node and the total quantity sum (endCount) of upstream peripheral nodes in a model, and calculating the monitoring quantity perJcdCount of each monitoring point, wherein the calculation formula is as follows:
judging whether endCount is more than or equal to perJcdCount is true, if yes, selecting the trunk pipe network node, otherwise, continuing to judgeIf yes, the trunk pipe network node is selected, otherwise, the next trunk pipe network node is judged, and monitoring points are generated for the selected trunk pipe network node, wherein allCount is the total number of upstream branch terminal nodes of the unselected trunk pipe network node in the upstream of the trunk pipe network node.
The distribution number N of the monitoring points is initial quantification and is drawn according to budget.
The calculation process of X is as follows:
enumerating alternative tolerance coefficients X between 0 and 1 i The enumeration ranges are as follows:
when the number of the monitoring points finally selected in the step S3Equal to or closest to N, corresponding X i As X.
The vector city drainage pipeline network data space model comprises a trunk pipeline and a branch trunk pipeline, wherein a trunk pipeline node is arranged on the trunk pipeline, a branch terminal node is arranged on the branch trunk pipeline, an inspection well is arranged on the trunk pipeline node, and the trunk pipeline is converged to a discharge port and a sewage treatment plant.
The first embodiment, the second embodiment and the third embodiment provide a method and a system for arranging monitoring points of a municipal drainage pipe network based on a spatial data model, and by establishing a vector data spatial analysis model and applying a spatial data analysis method and a convenient calculation formula, the selection and layout of monitoring nodes have expandability, can be suitable for different monitoring point arrangement sites, solve the problem that the traditional method cannot optimize and arrange the monitoring points of the municipal drainage pipe network in a large area, improve the efficiency of arranging the monitoring points and reduce the labor cost.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (8)
1. A method for arranging monitoring points of an urban drainage pipe network based on a spatial data model is characterized by comprising the following steps:
s1: constructing a vector urban drainage pipe network data space model, and determining the distribution number N of main pipe network nodes, branch terminal nodes and monitoring points and an optimal tolerance coefficient X;
s2: the total quantity endCount of the upstream branch peripheral nodes of each main pipe network node and the total quantity sum-endCount of peripheral nodes in the model are obtained, the monitoring quantity perJcdCount of each monitoring point is calculated, and a calculation formula is as follows:
s3: traversing each trunk pipe network node according to the sequence from the small upstream node number to the large upstream node number, judging whether the trunk pipe network node meets the condition that endCount is more than or equal to perJcdCount, if yes, selecting the trunk pipe network node, otherwise, continuing to judgeIf yes, the trunk pipe network node is selected, otherwise, the next trunk pipe network node is judged, and monitoring points are generated for the selected trunk pipe network node, wherein allCount is the total number of upstream branch terminal nodes of the unselected trunk pipe network node in the upstream of the trunk pipe network node.
2. The method for arranging the monitoring points of the urban drainage network based on the spatial data model according to claim 1, wherein the arranging number N of the monitoring points is determined according to the arranging cost.
3. The method for arranging the urban drainage network monitoring points based on the spatial data model according to claim 1, wherein the calculation process of X is as follows:
enumerating alternative tolerance coefficients X between 0 and 1 i The enumeration ranges are as follows:
when the number of the monitoring points finally selected in the step S3 is equal to or closest to N, corresponding X i As X.
4. The urban drainage pipe network monitoring point layout method based on the spatial data model according to claim 1, wherein the vector urban drainage pipe network data spatial model comprises a trunk pipeline and a branch trunk pipeline, the trunk pipeline nodes are arranged on the trunk pipeline, the branch tip nodes are arranged on the branch trunk pipeline, inspection wells are arranged on the trunk pipeline nodes, and the trunk pipeline is converged to a discharge port and a sewage treatment plant.
5. Urban drainage pipe network monitoring point layout system based on spatial data model, characterized by comprising:
the model construction module is used for constructing a vector urban drainage pipe network data space model;
the model analysis module is used for analyzing the vector city drainage pipe network data space model and determining the distribution number N of main pipe network nodes, branch terminal nodes and monitoring points and the optimal tolerance coefficient X;
the monitoring design module is used for arranging monitoring points on the vector city drainage pipe network data space model, and the specific process is as follows:
traversing the main pipe network nodes according to the sequence from small upstream nodes to large upstream nodes, obtaining the total quantity endCount of upstream branch peripheral nodes of each main pipe network node and the total quantity sum-endCount of upstream peripheral nodes in the model, and calculating the monitoring quantity perJcdCount of each monitoring point, wherein the calculation formula is as follows:
judging whether endCount is greater than or equal to perJcdCount, if yes, selecting the trunk network node, otherwise, judging the next trunk network node, and generating a monitoring point for the selected trunk network node, wherein allCount is the total number of upstream branch peripheral nodes of the unselected trunk network node in the upstream of the trunk network node.
6. The urban drainage pipe network monitoring point layout system based on the spatial data model according to claim 5, wherein the number N of the monitoring points is determined according to layout cost.
7. The urban drainage pipe network monitoring point layout system based on the spatial data model according to claim 5, wherein the calculation process of X is as follows:
enumerating alternative tolerance coefficients X between 0 and 1 i The enumeration ranges are as follows:
when the number of the monitoring points finally selected in the step S3 is equal to or closest to N, corresponding X i As X.
8. The urban drainage pipe network monitoring point layout system based on the spatial data model according to claim 5, wherein the vector urban drainage pipe network data spatial model comprises a trunk pipeline and a branch trunk pipeline, the trunk pipeline node is arranged on the trunk pipeline, the branch terminal node is arranged on the branch trunk pipeline, an inspection well is arranged on the trunk pipeline node, and the trunk pipeline is converged to a discharge port and a sewage treatment plant.
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