CN117575375A - Urban drainage pipe network flow estimation method and device and terminal equipment - Google Patents
Urban drainage pipe network flow estimation method and device and terminal equipment Download PDFInfo
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Abstract
The invention discloses a method, a device and terminal equipment for estimating the flow of an urban drainage pipe network, wherein the method comprises the following steps: acquiring open source map data, acquiring building information of each target building in a target area according to the open source map data, and determining water consumption indexes of the target building and nodes of the sewage inspection well closest to the water consumption indexes according to the building information; determining node flow information of each sewage inspection well node according to building information and water consumption indexes corresponding to each target building, so as to determine the drainage pipe network flow of the target area according to the node flow information of each sewage inspection well node; by implementing the invention, the estimation efficiency can be improved and the estimation cost can be reduced while the accuracy of the drainage pipe network flow estimation in the area is ensured.
Description
Technical Field
The invention relates to the field of urban drainage pipe network flow estimation, in particular to an urban drainage pipe network flow estimation method, an urban drainage pipe network flow estimation device and terminal equipment.
Background
In recent years, with the rapid development of urban construction, the range of urban built-up areas is rapidly expanded, and the rapid construction of urban underground drainage pipe networks is performed synchronously with the rapid development of urban built-up areas. Because the construction and management level is not high, the drainage pipe network has the phenomena of breakage, overflow and misconnection of rain and sewage, seriously pollutes the urban water environment, causes black and odorous urban water body, and obviously restricts the sustainable development of the city;
in the prior art, a plurality of methods for estimating the flow of the drainage pipe network exist, the methods are basically based on population data, building information and the like, the urban water consumption is calculated firstly, and then the scale of the urban sewage is determined by adopting a sewage folding coefficient method, but the methods for acquiring the volume data and the information are realized by a large number of workers to collect data on site, and for some areas with larger areas or less data, the method is difficult and high in cost for enough detailed and sufficient data collection, and consumes a large amount of manpower and material resources, and along with the development of urbanization, population and building development are rapid, and uncertainty is large, so the problems of low efficiency, high cost and large error generally exist in the traditional drainage pipe network flow estimation method at present.
Disclosure of Invention
The invention provides a method, a device and terminal equipment for estimating the flow of an urban drainage pipe network, which can ensure accurate estimation of the flow of the drainage pipe network in a target area, improve the estimation efficiency and reduce the estimation cost.
The invention provides a method for estimating flow of an urban drainage pipe network, which comprises the following steps: acquiring open source map data, and acquiring building information of each target building in a target area according to the open source map data;
for each target building, determining a water consumption index of the target building according to building information, and determining a sewage inspection well node nearest to the target building;
and determining the node flow information of each sewage inspection well node according to the building information and the water consumption index corresponding to each target building, so as to determine the drainage pipe network flow of the target area according to the node flow information of each sewage inspection well node.
Further, the building information includes: a target building class;
the determining the water consumption index of the target building according to the building information comprises the following steps:
and determining the land property of the target building according to the target building category, and determining the water consumption index corresponding to the land property according to the land property of the target building.
Further, the building information further includes: plane coordinates of the target building;
determining a sewage inspection well node nearest to the target building according to the building information, comprising:
obtaining plane coordinates of each sewage inspection well node in a target area;
and calculating the Euclidean distance between the target building and each sewage inspection well node according to the plane coordinates of the target building and the plane coordinates of each sewage inspection well node so as to determine the sewage inspection well node nearest to the target building.
Further, the Euclidean distance between the target building and each sewage inspection well node is calculated by the following formula:
wherein d J,k Represents the Euclidean distance, (x) J ，y J ) Representing the plane coordinates of the target building, (x) k ，y k ) Representing the planar coordinates of the manhole node.
Further, the building information further includes: building area;
according to building information and water consumption indexes corresponding to each target building, determining node flow information corresponding to each sewage inspection well node, wherein the node flow information comprises:
for each target building corresponding to each sewage inspection well node, determining the daily total water consumption of each target building in unit building area according to the building area and water consumption index of each target building;
calculating the daily total water consumption of each target building according to the building area of each target building and the daily total water consumption of each unit building area;
and determining node flow information of the sewage inspection well nodes according to the daily total water consumption of each target building. Further, the daily total water usage per unit building area of the target building is calculated by the following formula:
TW J ＝A J *W J
wherein TW J Representing the daily total water consumption of a target building, A J Representing the building area, W, of the target building J The daily total water usage of the unit building area of the target building is represented.
Further, the daily total water usage of the target building is calculated by the following formula:
I J ＝η*TW J
wherein eta represents the sewage reduction coefficient, I J Indicating the daily total water usage of the target building.
Further, node flow information of the sewage inspection well node is calculated by the following formula:
wherein W is k,t Node flow information of the sewage inspection well nodes at the time t is represented, n represents the target building number corresponding to the sewage inspection well nodes, and I J,i Representing the total daily node traffic information, beta, generated by the ith target building t,i And the time-varying coefficient of the node flow information at the time t is represented.
On the basis of the method item embodiments, the invention correspondingly provides device item embodiments;
the invention provides an estimation device of urban drainage pipe network flow, comprising: the system comprises a data acquisition module, a node determination module and a pipe network flow module;
the data acquisition module is used for acquiring open source map data and acquiring building information of each target building in the target area according to the open source map data;
the node determining module is used for determining the water consumption index of each target building according to building information and determining the sewage inspection well node closest to the target building;
the pipe network flow module is used for determining the node flow information of each sewage inspection well node according to the building information and the water consumption index corresponding to each target building so as to determine the drainage pipe network flow of the target area according to the node flow information of each sewage inspection well node.
On the basis of the method item embodiment, the invention correspondingly provides a terminal equipment item embodiment;
the invention provides a terminal device, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor realizes the estimation method of the urban drainage pipe network flow of any one of the invention when executing the computer program.
The embodiment of the invention has the following beneficial effects:
the invention provides an estimation method, an estimation device and terminal equipment of urban drainage pipe network flow; according to the method, building information of each target building in the target area can be obtained directly by obtaining open source map data, and then each water consumption index corresponding to each building information and each sewage inspection well node nearest to each target building are determined according to the building information of each target building. And finally, directly determining the flow of the drainage pipe network in the target area through the water consumption indexes and the nodes of the sewage inspection well. By the method, the estimation efficiency can be improved and the estimation cost can be reduced while the accuracy of the estimation of the drainage pipe network flow in the area is ensured.
Drawings
FIG. 1 is a schematic flow chart of a method for estimating the flow rate of an urban drainage network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an implementation flow based on open source building information according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating classification of building functions of information points according to a hundred-degree map according to an embodiment of the present invention;
FIG. 4 is a conceptual diagram of a building wastewater volume delivered to an inspection well according to one embodiment of the present invention;
FIG. 5 is a schematic diagram of the topology of a KP sewage pipe network system according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of the coefficient of variation of water usage for different land types according to an embodiment of the present invention;
fig. 7 is a schematic diagram of building classification of a sewage pipe network based on hundred-degree information point labels according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of building classification based on land property for sewage network according to an embodiment of the present invention.
Fig. 9 is a schematic diagram of relative inflow coefficients of each node of a sewage pipe network according to an embodiment of the present invention.
Fig. 10 is a schematic diagram comparing an observed value of total discharge flow of a sewage pipe network with a simulated value obtained by predicting flow according to the method of the present invention according to an embodiment of the present invention.
Fig. 11 is a schematic diagram showing an example of an hour-by-hour error between an observed value of a total discharge flow of a sewage pipe network and a simulated value obtained from a predicted flow according to the method of the present invention.
Fig. 12 is a schematic structural diagram of an apparatus for estimating flow of an urban drainage network according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made more apparent and fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the invention are shown. 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.
As shown in fig. 1, a method for estimating flow of an urban drainage pipe network according to an embodiment includes:
s101, acquiring open source map data, and acquiring building information of each target building in a target area according to the open source map data;
step S102, for each target building, determining a water consumption index of the target building according to building information, and determining a sewage inspection well node nearest to the target building;
and step 103, determining node flow information of each sewage inspection well node according to building information and water consumption indexes corresponding to each target building so as to determine the drainage pipe network flow of the target area according to the node flow information of each sewage inspection well node.
For step S101, in a preferred embodiment, open source map data is acquired through a database of open source maps, then two-dimensional building information of each target building in the target area is acquired through the open source map data, and then plane coordinates L of each target building are extracted J Building area A J Calling hundred-degree open source data to identify target building categories T of all target buildings J J ；
In an alternative embodiment, the ArcGIS software is used to obtain open source map data of the target area, extract building information on the area map, and packageIncluding the number and plane coordinates L of each target building J J Building area A J Managing in ArcGIS software;
for step S102, in a preferred embodiment, the building information includes: a target building class;
the determining the water consumption index of the target building according to the building information comprises the following steps:
and determining the land property of the target building according to the target building category, and determining the water consumption index corresponding to the land property according to the land property of the target building.
Specifically, after the category of the target building is determined, the application property corresponding to the category of the target building is obtained, and then the corresponding water consumption index is determined according to the specific application property.
The water consumption index is a value according to the comprehensive water consumption range specified by the water use rating standard, and the water use rating standard is the comprehensive water consumption which is verified and suitable for the local actual situation after a large number of researches are carried out on the relevant functional department of the government, and the total water consumption of the research film area obtained by the method is verified and verified by the water department, so that the difference between the total water consumption and the actual water consumption is not large.
In an alternative embodiment, the open-source building category is obtained from POI data provided by each open-source platform, and POI (Point of Information) is also called an information point, and can be used for referring to various types of geographic entities, so that the open-source building category has the advantages of rich semantics, short obtaining period, low cost, high updating speed and strong objectivity and behavior.
As shown in fig. 2, an API interface function reverse_geo with an open hundred-degree map is called to perform inverse geocoding query, the plane coordinate LJ of the target building J is input, and the name N of the nearest information point is returned P Category T P Address L P Information such as the like; can be represented by the following formula:
N P ,T P ,L P ＝Reverse_Geo(L J )
the category TP of the information points is information collected by the hundred-degree map based on big data, and the category classification of the building functional properties is automatically given, and is specifically shown in fig. 3;
the city specification divides the building according to the land property, and the difference is different from the functional property division given by the hundred-degree map, so that a simple conversion system Reclassify function is established to divide the type T of the information point P Conversion to the property class T of the building J The method comprises the steps of carrying out a first treatment on the surface of the Represented by the formula:
T J ＝Reclassify(T P )
then, the water consumption index of the buildings with different functions is determined by searching city specifications, so that the water consumption W of the unit area corresponding to the target building J is determined J 。
In a preferred embodiment, the building information further includes: plane coordinates of the target building;
determining a sewage inspection well node nearest to the target building according to the building information, comprising:
obtaining plane coordinates of each sewage inspection well node in a target area;
and calculating the Euclidean distance between the target building and each sewage inspection well node according to the plane coordinates of the target building and the plane coordinates of each sewage inspection well node so as to determine the sewage inspection well node nearest to the target building.
The Euclidean distance between the target building and each sewage inspection well node is calculated by the following formula:
wherein d J,k Represents the Euclidean distance, (x) J ，y J ) Representing the plane coordinates of the target building, (x) k ，y k ) Representing the planar coordinates of the manhole node.
Specifically, firstly, the plane coordinates of each sewage inspection well node in a target area are obtained, then, the Euclidean distance between the target building and each sewage inspection well node is calculated, and the sewage inspection well node nearest to the target building is determined through the smallest Euclidean distance, and conceptual diagrams of the transmission of each inspection well node and each target building sewage amount in the target area to each inspection well node are shown in fig. 4 and 5.
In an alternative embodiment, the relationship between the target building J and the nearby sewage manhole node k is established based on the euclidean distance between coordinates, and the manhole closest to the building (the euclidean distance is the smallest) is taken as the sewage discharge outlet of the building, and is expressed by the following formula:
wherein d J,k Represents the Euclidean distance, (x) J ，y J ) Representing the plane coordinates of the target building, (x) k ，y k ) Representing the planar coordinates of the manhole node.
For step S103, in a preferred embodiment, the building information further includes: building area;
according to building information and water consumption indexes corresponding to each target building, determining node flow information corresponding to each sewage inspection well node, wherein the node flow information comprises:
for each target building corresponding to each sewage inspection well node, determining the daily total water consumption of each target building in unit building area according to the building area and water consumption index of each target building;
calculating the daily total water consumption of each target building according to the building area of each target building and the daily total water consumption of each unit building area;
and determining node flow information of the sewage inspection well nodes according to the daily total water consumption of each target building. The daily total water usage per unit building area of the target building is calculated by the following formula:
TW J ＝A J *W J
wherein TW J Representing the daily total water consumption of a target building, A J Representing the building area, W, of the target building J Representation purposeThe daily total water consumption of the building unit building area is marked.
Calculating the daily total water consumption of the target building by the following formula:
I J ＝η*TW J
wherein eta represents the sewage reduction coefficient, I J Indicating the daily total water usage of the target building.
Specifically, for each sewage inspection well node, determining each target building related to the sewage inspection well node, then determining the daily total water consumption of a unit building area of one target building according to the building area and the water consumption index of each target building, and further calculating the daily total water consumption of each target building according to the building area and the daily total water consumption of the unit building area of each target building; to determine the node flow information of the sewage inspection well nodes corresponding to the target buildings.
Calculating node flow information of the sewage inspection well nodes by the following formula:
wherein W is k,t Node flow information of the sewage inspection well nodes at the time t is represented, n represents the target building number corresponding to the sewage inspection well nodes, and I J,i Representing the total daily node traffic information, beta, generated by the ith target building t,i And the time-varying coefficient of the node flow information at the time t is represented.
In an alternative embodiment, for each target building corresponding to each sewage inspection well node, the water consumption corresponding to each target building is calculated, and the corresponding sewage reduction coefficient is multiplied to obtain the corresponding sewage amount, where the formula is as follows:
TW J ＝A J *W J
I J ＝η*TW J
wherein TW J Representing the daily total water consumption of a target building, A J Representing the building area, W, of the target building J Daily total water consumption representing a unit building area of a target building; eta represents the sewage reduction coefficient and is generally 0.8 to 0.85, I J Indicating the daily total water usage of the target building.
Referring to water habits of different land types in the public data to obtain time-varying coefficients of the water of the different land types, and obtaining node flow information of the nodes of the sewage inspection well, wherein the node flow information is represented by the following formula:
wherein W is k,t Node flow information of the sewage inspection well nodes at the time t is represented, n represents the target building number corresponding to the sewage inspection well nodes, and I J,i Representing the total daily node traffic information, beta, generated by the ith target building t,i The time-varying coefficient representing the node flow information at the time t is given by the following formula:
it should be noted here that the categories are classified according to the property of the land more than the types of water habits given above, but many users having different properties of the land use are similar in water habits, so that it can be generalized from the above four types without causing large errors, and the coefficient of variation in water usage for different land types is shown in fig. 6.
In an alternative embodiment, the rapid establishment and simulation of the sewage pipe network hydraulic model is realized.
The actual application of the method of the present invention in engineering will be described below in terms of simulated actual examples, which do not represent actual examples, which illustrate that the present invention may be used in engineering practice and that technical effects can be obtained.
Taking a sewage pipe network in KP as an example, the sewage pipe network consists of 760 inspection well nodes, 60 overflow nodes, 819 pipes and a sewage outlet, the length of the sewage pipe is about 40 kilometers in total, and the tail end sewage outlet is provided with flow monitoring. The time step of the flow monitoring data is 2 hours, the monitoring data of a certain day in dry season (the water level of the outer river is low and no rainfall exists) is taken as the reference, the method is utilized to predict the sewage flow, the model simulation result is compared with the monitoring result, and the hot start time of the hydraulic model is 1 day. And (3) injection: the flow monitoring value here has been subtracted from the corresponding dry season inflow penetration value.
It can be seen that the simulation result and the monitoring data by the method of the invention are in good agreement, the hour-by-hour error is basically less than 10%, and the model effect is good. It can be known that, according to the urban sewage pipe network flow calculation method based on the open source building type and the position information provided by the invention, the two-dimensional building information of the research area is obtained through the open source map, the plane coordinates and the building area of the building are extracted, then hundred-degree open source data are called to identify the urban functional area, and the building is classified, as shown in fig. 7 and 8; and referring to city specifications to determine water consumption indexes of different functional buildings, finally establishing a relationship between the buildings and nearby sewage inspection well nodes based on Euclidean distance, converting water consumption information into node flow of a sewage pipe network, and realizing hydraulic simulation of the sewage pipe network by using the relative inflow coefficients of all nodes as shown in figure 9. The method solves the problems of lack of statistical data, low timeliness and stability of data and the like in the aspect of sewage pipe network simulation, provides important technical support for solving the problems of pipeline siltation, pipeline leakage, rain and sewage misconnection, illegal discharge, sewage overflow and the like in the sewage pipe network, and has practical engineering application value.
Schematically, a graph of the observed value of the total discharge flow of the sewage pipe network compared with the simulated value obtained by the flow predicted by the method of the invention is shown in fig. 10; an hour-by-hour error plot of the observed flow value of the total discharge of the sewage pipe network and the simulated value obtained from the flow predicted by the method of the invention is shown in fig. 11.
On the basis of the method item embodiments, the invention correspondingly provides the device item embodiments.
As shown in fig. 12, an embodiment of the present invention provides an apparatus for estimating a flow rate of an urban drainage network, including: the system comprises a data acquisition module, a node determination module and a pipe network flow module;
the data acquisition module is used for acquiring open source map data and acquiring building information of each target building in the target area according to the open source map data;
the node determining module is used for determining the water consumption index of each target building according to building information and determining the sewage inspection well node closest to the target building;
the pipe network flow module is used for determining the node flow information of each sewage inspection well node according to the building information and the water consumption index corresponding to each target building so as to determine the drainage pipe network flow of the target area according to the node flow information of each sewage inspection well node.
It should be noted that the apparatus embodiments described above are merely illustrative, and the modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the modules represents that the modules have communication connection, and can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
It will be clearly understood by those skilled in the art that, for convenience and brevity, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
On the basis of the method item embodiment, the invention correspondingly provides a terminal equipment item embodiment.
Another embodiment of the present invention provides a terminal device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor; when the processor executes the computer program, the method for estimating the flow of the urban drainage pipe network according to any embodiment of the invention is realized.
Illustratively, in this embodiment the computer program may be partitioned into one or more modules, which are stored in the memory and executed by the processor to perform the present invention. The one or more module elements may be a series of computer program instruction segments capable of performing a specific function, the instruction segments describing the execution of the computer program in the device;
the device can be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The device may include, but is not limited to, a processor, a memory;
the processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the device, and which connects various parts of the entire device using various interfaces and lines;
the memory may be used to store the computer program and/or modules, and the processor may implement various functions of the device by running or executing the computer program and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; in addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The above embodiment of the present invention has the following effects by implementing the present invention:
1. the invention provides a method, a device and terminal equipment for estimating the flow of an urban drainage pipe network for the first time, wherein the method for identifying urban functional areas by utilizing information points POIs can provide ideas for building functional classification. Firstly, two-dimensional building information in an area is acquired through an open source map database, the plane coordinates and the building area of a building are extracted, then hundred-degree open source data are called to identify urban functional areas, the building is classified, urban specifications are consulted to determine water consumption indexes of different functional buildings, finally, the relationship between the building and nearby sewage inspection well nodes is established based on Euclidean distance, the water consumption information is converted into the node flow of a sewage pipe network, and the rapid establishment and simulation of a sewage pipe network hydraulic model are realized. The method can improve the estimation efficiency and reduce the estimation cost while ensuring accurate estimation of the drainage pipe network flow in the area. Under the condition that urban sewage pipe network construction data, flow information and the like are difficult to acquire, the problem that sewage flow of the sewage pipe network is difficult to estimate is solved by creatively using easily-acquired open-source building types and geographic information, and then rapid modeling and accurate hydraulic simulation of the sewage pipe network are realized.
2. The problems of lack of basic data, difficult data statistics and high cost of partial areas are effectively solved by using the building category and position information data of the hundred-degree map open source, and the reliability of calculating the sewage flow is high;
3. population and building develop rapidly along with the urban, the data have higher mobility, especially for the non-residential land, have the problem of larger simulation error in the direct application in the engineering, compared with traditional water amount estimation methods, consider the corresponding sewage amount of building function can get more stable and credible estimated value;
4. the method has the advantages that the timeliness of building data information in the open source map is higher, the data update speed required by the traditional water quantity estimation method is low under the background of rapid urban development and change, and the problems of low efficiency exist in engineering application;
5. the method solves the problems of low efficiency, high cost, large simulation error and the like commonly existing in the traditional water quantity estimation modeling method at present, improves the stability and the accuracy, is an important supplement to the field of urban drainage pipe network management research, provides important technical support for the management of a sewage pipe network system, and has good popularization and practical engineering application values.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (10)
1. The method for estimating the flow of the urban drainage pipe network is characterized by comprising the following steps of:
acquiring open source map data, and acquiring building information of each target building in a target area according to the open source map data;
for each target building, determining a water consumption index of the target building according to building information, and determining a sewage inspection well node nearest to the target building;
and determining the node flow information of each sewage inspection well node according to the building information and the water consumption index corresponding to each target building, so as to determine the drainage pipe network flow of the target area according to the node flow information of each sewage inspection well node.
2. The urban drainage network flow estimation method according to claim 1, wherein the building information comprises: a target building class;
the determining the water consumption index of the target building according to the building information comprises the following steps:
and determining the land property of the target building according to the target building category, and determining the water consumption index corresponding to the land property according to the land property of the target building.
3. The urban drainage network flow estimation method according to claim 2, wherein the building information further comprises: plane coordinates of the target building;
determining a sewage inspection well node nearest to the target building according to the building information, comprising:
obtaining plane coordinates of each sewage inspection well node in a target area;
and calculating the Euclidean distance between the target building and each sewage inspection well node according to the plane coordinates of the target building and the plane coordinates of each sewage inspection well node so as to determine the sewage inspection well node nearest to the target building.
4. A municipal drainage pipe network flow estimation method according to claim 3, wherein the euclidean distance between the target building and each sewage inspection well node is calculated by the following formula:
wherein d J,k Represents the Euclidean distance, (x) J ，y J ) Representing the plane coordinates of the target building, (x) k ，y k ) Representing the planar coordinates of the manhole node.
5. The urban drainage network flow estimation method according to claim 4, wherein the building information further comprises: building area;
according to building information and water consumption indexes corresponding to each target building, determining node flow information corresponding to each sewage inspection well node, wherein the node flow information comprises:
for each target building corresponding to each sewage inspection well node, determining the daily total water consumption of each target building in unit building area according to the building area and water consumption index of each target building;
calculating the daily total water consumption of each target building according to the building area of each target building and the daily total water consumption of each unit building area;
and determining node flow information of the sewage inspection well nodes according to the daily total water consumption of each target building.
6. The urban drainage network flow estimation method according to claim 5, wherein the daily total water consumption per unit building area of the target building is calculated by the following formula:
TW J ＝A J *W J
wherein TW J Representing the daily total water consumption of a target building, A J Representing the building area, W, of the target building J The daily total water usage of the unit building area of the target building is represented.
7. The urban drainage network flow estimation method according to claim 6, wherein the daily total water consumption of the target building is calculated by the following formula:
I J ＝η*TW J
wherein eta represents the sewage reduction coefficient, I J Indicating the daily total water usage of the target building.
8. The urban drainage network flow estimation method of claim 7, wherein the node flow information of the sewage inspection well nodes is calculated by the following formula:
wherein W is k,t Node flow information of the sewage inspection well nodes at the time t is represented, n represents the target building number corresponding to the sewage inspection well nodes, and I J,i Representing the total daily node traffic information, beta, generated by the ith target building t,i Section indicating time tTime-varying coefficients of the point flow information.
9. An estimating device for flow of urban drainage pipe network, comprising: the system comprises a data acquisition module, a node determination module and a pipe network flow module;
the data acquisition module is used for acquiring open source map data and acquiring building information of each target building in the target area according to the open source map data;
the node determining module is used for determining the water consumption index of each target building according to building information and determining the sewage inspection well node closest to the target building;
the pipe network flow module is used for determining the node flow information of each sewage inspection well node according to the building information and the water consumption index corresponding to each target building so as to determine the drainage pipe network flow of the target area according to the node flow information of each sewage inspection well node.
10. A terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of estimating urban drainage network traffic according to any of claims 1 to 8 when executing the computer program.
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