CN112560291A - Wisdom water utilities water supply pipe network explodes a tub analytic system - Google Patents
Wisdom water utilities water supply pipe network explodes a tub analytic system Download PDFInfo
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Abstract
The invention discloses an intelligent water supply network pipe burst analysis system, which at least comprises a GIS water supply network model module and a pipe burst analysis module, wherein the GIS water supply network model module generates a GIS water supply network model according to collected data and GIS data, the system combines real-time monitoring and the GIS system to carry out pipe burst analysis on a water supply network, and divides the whole water supply network into four sub-networks for more accurate and rapid transmission of complex water supply data, so that the data transmission efficiency and accuracy are improved, the GIS water supply network is generated by combining data in a GIS database, the state of the water supply network can be visually displayed in two-three-dimensional integration, the position of a pipe burst is accurately positioned, the database used by the system is stored on a cloud platform, and the Internet of things, big data, the cloud platform, the GIS system and SCADA monitoring are combined, the system provides more comprehensive and convenient pipeline monitoring and analysis for users, and comprehensively monitors the water supply condition of the water supply network.
Description
Technical Field
The invention belongs to the technical field of water utilities, and particularly relates to an intelligent water supply pipe network pipe burst analysis system.
Background
Along with the acceleration of the process of local urbanization, the urban framework is continuously enlarged, the problem of water supply safety is more and more prominent, and especially the safe operation of a transmission and distribution pipe network is receiving more and more attention. However, the leakage control of water supply networks in cities and towns in China has a large gap with the advanced level in the world. Water supply network leakage not only leads to the waste of water resource, also easily causes secondary disasters such as road surface collapse, is the important factor that influences water supply safety and public safety. The pipe explosion is not defined clearly and uniformly at present, and according to data, the pipe explosion refers to the condition that the structural damage of the pipeline, a large amount of water leakage of the pipeline rises to the road surface, and the emergency repair is required to be carried out immediately. Especially, large-diameter pipelines and pipe explosion cause a large amount of running water loss and regional pressure reduction, so that economic loss is brought to water supply enterprises, and certain negative social influence is caused. And because the complicacy and the coverage area of water supply pipe are big, and water supply network information has the time variation nature, therefore current water supply network integrated management analytic system error is great, and the precision is not high, sometimes when a unit resident water supply breaks down, this water supply network integrated management analytic system can not in time detect out, causes the water waste, consequently causes bigger loss even.
Disclosure of Invention
In view of the above-described deficiencies in the prior art, the present invention provides an intelligent water supply network pipe burst analysis system.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
an intelligent water service water supply network pipe burst analysis system at least comprises a GIS water supply network model module and a pipe burst analysis module, wherein the GIS water supply network model module generates a GIS water supply network model according to collected data and GIS data; the GIS water supply pipe network model generation steps are as follows:
s1, setting up a monitoring station;
dividing the whole water supply network into a water supply sub-network, a district water supply sub-network, a community water supply sub-network and a user water supply sub-network; the water supply sub-pipe network supplies water to a plurality of district water supply sub-pipe networks, one district water supply sub-pipe network supplies water to a plurality of community water supply sub-pipe networks, and one community water supply sub-pipe network supplies water to a plurality of user water supply sub-pipe networks.
The method comprises the following steps: a plurality of monitoring stations I are arranged on a field water supply pipeline of a water supply sub-pipeline network, each monitoring station I at least comprises three monitoring pipelines I, and each monitoring pipeline I is provided with a pressure acquisition part I and a flow acquisition part I.
The method comprises the steps that a plurality of district monitoring stations are arranged on a field water supply pipeline of a district water supply sub-pipeline network, each district monitoring station is provided with at least three district monitoring pipelines, and each district monitoring pipeline is provided with a district flow detection piece and a district pressure detection piece.
A plurality of community monitoring sites are set up on the on-site water supply pipeline of the community water supply sub-pipeline network, each community monitoring site is provided with at least three community monitoring pipelines, and a community flow detection piece and a community pressure detection piece are installed on each community monitoring pipeline.
A plurality of user monitoring stations are arranged on a field water supply pipeline of a user water supply sub-pipeline network, each user monitoring station is provided with at least three user monitoring pipelines, and each user monitoring pipeline is provided with a user flow detection piece and a user pressure detection piece.
S2, collecting and storing real-time information of each monitoring station;
the method comprises the following steps:
a flow detection part I and a pressure detection part I in one monitoring station I are respectively connected with a data acquisition unit I, a middle-level data acquisition unit I is connected with a data acquisition unit I of at least one monitoring station I, a high-level data acquisition unit I is connected with at least one middle-level data acquisition unit I, and the high-level data acquisition unit I transmits acquired real-time data to a water supply sub-network database through a communication module I.
The system comprises a plurality of jurisdictions, a plurality.
The community flow detection part and the community pressure detection part in one community monitoring site are respectively connected with a community data collector, one community medium-grade data collector is connected with the community data collector of at least one community monitoring site, one community high-grade data collector is at least connected with one community medium-grade data collector, and the community high-grade data collector transmits collected real-time data to a community water supply sub-network database through a community communication module.
The user flow detection part and the user pressure detection part in one user monitoring station are respectively connected with a user data collector, one user middle-level data collector is connected with at least one user data collector of the user monitoring station, one user high-level data collector is at least connected with one user middle-level data collector, and the user high-level data collector transmits collected real-time data to a user water supply sub-network database through a user communication module.
The four divided sub-pipe networks are in the same level and run in parallel, real-time data are transmitted and stored respectively, and complicated water supply data can be accurately divided by the parallel mode, so that the data transmission efficiency is improved.
S3, establishing a GIS water supply network model;
s3.1, establishing a GIS water supply sub-pipe network model;
s3.1.1, collecting data related to water supply sub-pipe network and establishing GIS water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of the whole water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary nodes are boundary nodes with known hydraulic gradient and comprise facilities such as a water reservoir, a water tower and a pressure source, and the boundary nodes define the initial hydraulic gradient of any calculation period. These nodes constitute the basic hydraulic constraints that determine the conditions of all other nodes in the system operation.
The virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the valve is a mechanical device for stopping or controlling water flow in the pipeline, and can also control the pipeline pressure when water flow passes through the valve in a counter-flow or concurrent flow mode.
The pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.1.2, the model generator calls corresponding information from the GIS database to build a pipe network model, and the modeling follows the mass/energy conservation law and the energy principle.
S3.1.3, calculating the regional water demand of the water supply sub-pipe network;
dividing a water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a water supply sub-pipeline network database to calculate regional water demand;
s3.1.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a water supply sub-pipeline network database and adopting a clean flow method or an average flow method at night;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.1.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a water supply sub-pipe network model;
s3.2, establishing a water supply sub-network model of the GIS district;
s3.2.1, collecting relevant data of the district water supply sub-pipe network and establishing a GIS district water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of a water supply sub-pipe network in the whole jurisdiction and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary node is a boundary node with known hydraulic gradient and comprises facilities such as a reservoir, a water tower, a pressure source and the like;
the virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.2.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
parameters which may not be directly imported in the compatible process of the GIS database and the model generator, such as ground elevation (node elevation), geographic coordinates of extra-large users, water usage type and the like, need to be acquired by considering other effective ways, and the specific steps are as follows:
first, user data
1. Composition, water usage type and distribution of users;
2. data of monthly meter reading data of annual water consumption of various users in the area covered by the model to be established;
3. near and long term water usage curves;
4. dividing the meter reading area of each business office;
second, pressure and flow measurement data
1. Dispatching data such as coordinates, detailed positions, sensor installation elevations, data acquisition and transmission integrity, monitoring pressure values and the like of an automatic remote measuring point of an SCADA system;
2. the method comprises the following steps that under a typical water supply condition, effective pressure data can be acquired each time, and the number of the effective pressure data is more than 1% of the total number of nodes of a model to be built;
3. the ground elevation of the pressure measuring point of the fire hydrant, the type of the fire hydrant and the pressure measuring day scheduling data;
4. on-line flow instrument monitoring data and on-site flow measurement data
Scheduling data of pipe network
1. Parameters, operation scheduling conditions and characteristic curves of all water pumps;
2. the embedding position, the type, the size, the opening degree and the use condition of the key valve;
3. the pressure-measuring daily water supply network dispatching log is used for model checking;
4. adjusting the type, quantity, position, operation parameters and scheduling condition of the construction;
5. parameters of reservoirs, clean water pools, water towers and the like comprise water level change curves, volumes, pool bottom elevation, overflow water level and the like;
6. drag coefficient of typical pipelines.
After all the data are collected, the pipe network GIS data corresponding to the pipe network model modeled by the model generator mainly comprises vector data and raster data.
The vector data comprises pipe network data and basic geographic data.
Pipe network data: the system mainly comprises information such as a water supply pipeline, a valve, a fire hydrant, a node, a water plant, a water pump, a plug, a pressure measuring point, a flow measuring point, a check point, an exhaust valve, a mud valve and the like. The water supply network is the main data of the GIS, so the quality of the data directly determines the quality of the system. And therefore, a great deal of effort is required to ensure the integrity, correctness, timeliness and consistency of the data.
Basic geographic data: the water supply network mainly comprises main basic geographic elements in a water supply network coverage area, and mainly comprises road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI (point of interest) and other information. The basic geographic data is the main reference basis of the water supply network, and the attractiveness of the map and the correctness of system query are influenced by the quality of the basic geographic data. Therefore, the basic geographic data must be correct and have strong timeliness.
The raster data mainly comprises an ortho-image DOM and a digital elevation model DEM;
the orthographic image DOM is that the orthographic image is mainly from a Taile map or a satellite image provided by a client, and image data must ensure that vector data and the image data can be correctly superposed.
The digital elevation model DEM is obtained by mainly converting elevation point or contour line data and is used for representing information such as topographic relief of continuous ground, direct image to cross section and longitudinal section analysis, three-dimensional modeling and the like.
S3.2.3, calculating the regional water demand of the district water supply sub-pipe network;
dividing a district water supply sub-network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region and the water inflow of pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant inflow, boundary pipeline inflow and reservoir inflow from a district water supply sub-network database to calculate regional water demand;
s3.2.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a district water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database of the district; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.2.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a district water supply sub-pipe network model;
s3.3, establishing a GIS community water supply sub-pipe network model;
s3.3.1, collecting the relative data of community water supply sub-network and building GIS community water supply sub-network database;
collecting pipe network facility information and geographic information in the coverage area of the whole community water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary node is a boundary node with known hydraulic gradient and comprises facilities such as a reservoir, a water tower, a pressure source and the like;
the virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.3.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
parameters which may not be directly imported in the compatible process of the GIS database and the model generator, such as ground elevation (node elevation), geographic coordinates of extra-large users, water usage type and the like, need to be acquired by considering other effective ways, and the specific steps are as follows:
first, user data
1. Composition, water usage type and distribution of users;
2. data of monthly meter reading data of annual water consumption of various users in the area covered by the model to be established;
3. near and long term water usage curves;
4. dividing the meter reading area of each business office;
second, pressure and flow measurement data
1. Dispatching data such as coordinates, detailed positions, sensor installation elevations, data acquisition and transmission integrity, monitoring pressure values and the like of an automatic remote measuring point of an SCADA system;
2. the method comprises the following steps that under a typical water supply condition, effective pressure data can be acquired each time, and the number of the effective pressure data is more than 1% of the total number of nodes of a model to be built;
3. the ground elevation of the pressure measuring point of the fire hydrant, the type of the fire hydrant and the pressure measuring day scheduling data;
4. on-line flow instrument monitoring data and on-site flow measurement data
Scheduling data of pipe network
1. Parameters, operation scheduling conditions and characteristic curves of all water pumps;
2. the embedding position, the type, the size, the opening degree and the use condition of the key valve;
3. the pressure-measuring daily water supply network dispatching log is used for model checking;
4. adjusting the type, quantity, position, operation parameters and scheduling condition of the construction;
5. parameters of reservoirs, clean water pools, water towers and the like comprise water level change curves, volumes, pool bottom elevation, overflow water level and the like;
6. drag coefficient of typical pipelines.
After all the data are collected, the pipe network GIS data corresponding to the pipe network model modeled by the model generator mainly comprises vector data and raster data.
The vector data comprises pipe network data and basic geographic data.
Pipe network data: the system mainly comprises information such as a water supply pipeline, a valve, a fire hydrant, a node, a water plant, a water pump, a plug, a pressure measuring point, a flow measuring point, a check point, an exhaust valve, a mud valve and the like. The water supply network is the main data of the GIS, so the quality of the data directly determines the quality of the system. And therefore, a great deal of effort is required to ensure the integrity, correctness, timeliness and consistency of the data.
Basic geographic data: the water supply network mainly comprises main basic geographic elements in a water supply network coverage area, and mainly comprises road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI (point of interest) and other information. The basic geographic data is the main reference basis of the water supply network, and the attractiveness of the map and the correctness of system query are influenced by the quality of the basic geographic data. Therefore, the basic geographic data must be correct and have strong timeliness.
The raster data mainly comprises an ortho-image DOM and a digital elevation model DEM;
the orthographic image DOM is that the orthographic image is mainly from a Taile map or a satellite image provided by a client, and image data must ensure that vector data and the image data can be correctly superposed.
The digital elevation model DEM is obtained by mainly converting elevation point or contour line data and is used for representing information such as topographic relief of continuous ground, direct image to cross section and longitudinal section analysis, three-dimensional modeling and the like.
S3.3.3, calculating the regional water demand of the community water supply sub-pipe network;
dividing a community water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a community water supply sub-network database to calculate regional water demand;
s3.3.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a community water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a community water supply sub-network database; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.3.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a community water supply sub-pipe network model;
in principle, the method comprises the following steps:
the establishment of the community water supply sub-pipe network model can adopt node flow, the node flow is an essential condition for starting calculation of the water supply system pipe network model, and the following information needs to be fully known before the node flow is calculated:
total water demand in the system;
geographical distribution of water demand, including unmeasured water usage;
different types of water usage;
various daily water demand forms of different user types;
large industrial users with considerable impact on the network of pipes due to the large amount of water used or the unconventional forms of water used.
The user in the actual water supply pipe network system is the prototype of the water consumption node in the pipe network model, and the water consumption of the user is the node flow of the node in the water supply pipe network model. However, the water consumption of users in the actual water supply system has randomness, periodicity and uncertainty, and how to simulate the water consumption process of the users is a calculation method of the node flow in the model. The calculation of the node flow is based on a large amount of field measured data, large-user field meter reading data and monthly user water meter reading data. And establishing a set of data calculation model by sampling and analyzing the next data.
(1) Water consumption distribution of users;
node traffic regions are first delineated on the topographical map. The process aims to solve the monthly average node flow value of each water consumption node and establish the connection relation between the water consumption node number and the user meter reading number. The geographical distribution of water usage is obtained by distributing water demand to each node by the associated node area.
(2) Water consumption data;
establishing a water consumption database of the nodes of the water supply area, wherein once the water consumption database is determined, the water consumption of each user can be converted into the node water consumption of each node in the model, and the database comprises the following tables:
service area water usage data sheet
Model water consumption data sheet
Various user data sheets of water consumption of different nature
(3) Water requirement of the system;
the system water demand is a 24 hour curve of the total water usage in the pipe network model during the selected calibration date. It includes the basic variation of unmeasured water usage and reservoir water storage. The water demand of the system was calculated from every 15 minutes of data measured on the selected calibration day for use in the model. They are derived by summing the water intakes of all waterworks and pipelines on the boundary in the model and subtracting the water intakes of the reservoirs in the model. Because the manual reading of the water plant effluent is continuously carried out, the obtained result is smoother. All data used to provide the water demand of the system was obtained from field testing. The profile of the system water demand is the sum of all water demand profiles for various user types in the test area.
Calculating the flow into the System by testing the waterworks and the boundary points
Determining the inflow rate of reservoir by reservoir level test and reservoir volume curve
And calculating a 24-hour system water demand change curve.
S3.4, establishing a GIS user water supply sub-pipe network model;
s3.4.1, collecting the data related to the user water supply sub-pipe network and establishing a GIS user water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of the whole user water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary node is a boundary node with known hydraulic gradient and comprises facilities such as a reservoir, a water tower, a pressure source and the like;
the virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.4.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
parameters which may not be directly imported in the compatible process of the GIS database and the model generator, such as ground elevation (node elevation), geographic coordinates of extra-large users, water usage type and the like, need to be acquired by considering other effective ways, and the specific steps are as follows:
first, user data
1. Composition, water usage type and distribution of users;
2. data of monthly meter reading data of annual water consumption of various users in the area covered by the model to be established;
3. near and long term water usage curves;
4. dividing the meter reading area of each business office;
second, pressure and flow measurement data
1. Dispatching data such as coordinates, detailed positions, sensor installation elevations, data acquisition and transmission integrity, monitoring pressure values and the like of an automatic remote measuring point of an SCADA system;
2. the method comprises the following steps that under a typical water supply condition, effective pressure data can be acquired each time, and the number of the effective pressure data is more than 1% of the total number of nodes of a model to be built;
3. the ground elevation of the pressure measuring point of the fire hydrant, the type of the fire hydrant and the pressure measuring day scheduling data;
4. on-line flow instrument monitoring data and on-site flow measurement data
Scheduling data of pipe network
1. Parameters, operation scheduling conditions and characteristic curves of all water pumps;
2. the embedding position, the type, the size, the opening degree and the use condition of the key valve;
3. the pressure-measuring daily water supply network dispatching log is used for model checking;
4. adjusting the type, quantity, position, operation parameters and scheduling condition of the construction;
5. parameters of reservoirs, clean water pools, water towers and the like comprise water level change curves, volumes, pool bottom elevation, overflow water level and the like;
6. drag coefficient of typical pipelines.
After all the data are collected, the pipe network GIS data corresponding to the pipe network model modeled by the model generator mainly comprises vector data and raster data.
The vector data comprises pipe network data and basic geographic data.
Pipe network data: the system mainly comprises information such as a water supply pipeline, a valve, a fire hydrant, a node, a water plant, a water pump, a plug, a pressure measuring point, a flow measuring point, a check point, an exhaust valve, a mud valve and the like. The water supply network is the main data of the GIS, so the quality of the data directly determines the quality of the system. And therefore, a great deal of effort is required to ensure the integrity, correctness, timeliness and consistency of the data.
Basic geographic data: the water supply network mainly comprises main basic geographic elements in a water supply network coverage area, and mainly comprises road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI (point of interest) and other information. The basic geographic data is the main reference basis of the water supply network, and the attractiveness of the map and the correctness of system query are influenced by the quality of the basic geographic data. Therefore, the basic geographic data must be correct and have strong timeliness.
The raster data mainly comprises an ortho-image DOM and a digital elevation model DEM;
the orthographic image DOM is that the orthographic image is mainly from a Taile map or a satellite image provided by a client, and image data must ensure that vector data and the image data can be correctly superposed.
The digital elevation model DEM is obtained by mainly converting elevation point or contour line data and is used for representing information such as topographic relief of continuous ground, direct image to cross section and longitudinal section analysis, three-dimensional modeling and the like.
S3.4.3, calculating the regional water demand of the user water supply sub-pipe network;
dividing a user water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of the reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a user water supply sub-network database to calculate regional water demand;
s3.4.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a user water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of the water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database of the users; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.4.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a user water supply sub-pipe network model;
s3.5, establishing a whole GIS water supply network model;
and fusing the GIS water supply sub-network model, the GIS district water supply sub-network model, the GIS community water supply sub-network model and the GIS user water supply sub-network model under the effect of the GIS network topology relationship to obtain the whole GIS water supply network model.
The user water supply sub-pipe network module adopts a calculation algorithm for calculating the average daily water consumption. The purpose is in order to guarantee that all water consumption records are included, because the work of checking meter of a large amount of users is that the meter is checked in the month of two, some users check meter in odd number month, some users check meter in even number month, therefore the problem that the user's data that the business office copied have incompleteness exists.
The users with different properties are totally classified into 6 types according to the properties of the users. The method comprises the following steps:
big user
Civil Water class A
Non-civil water user B type (class one)
Nonfaway Water user class C (class two)
Non-civil water user D type (three class system)
Non-metered classes
The pipe explosion analysis module is used for analyzing the acquired pressure data to judge whether a pipe explosion fault exists or not, and if the pipe explosion fault exists, positioning a pipe explosion area and displaying the pipe explosion area on a GIS water supply pipe network model; when pipe explosion occurs on the water supply pipe network, the collected real-time data imply the working condition information of the pipe explosion, and the data have guiding effect on the judgment and positioning of the pipe explosion.
The tube explosion analysis module comprises the following analysis steps:
a, traversing pipe network nodes, and carrying out pressure analysis on real-time pressure data to judge whether pipe burst faults exist;
the traversal of the nodes of the pipe network adopts a depth-first traversal mode, and because the pipe network pipe explosion analysis is carried out on the premise of establishing a correct network topology relation. In the topological relation of the network, because the linear devices such as a pipe network and the like are generally abstracted into the arc sections of the network, the point devices such as a valve, a pressure regulating box and the like are abstracted into the nodes of the network, and the network nodes are positioned at the connection positions and the intersection positions of a plurality of arc sections in the current pipe network information system, the topological relation problem of only considering the topological relation between the arc sections and between the arc sections and the nodes is simplified in the GIS network topology.
Storing a topological relation through a node-arc segment topological structure in the GIS network, wherein each node comprises an identification number, a geographical position, an associated arc segment number, an associated arc segment identification point and other attribute data of the node; each arc segment comprises an arc segment identification number, a starting point identification number, an end node identification number and other attribute data. Similar storage structures are also adopted in ArcGIS, and ArcGIS software can help to establish the topological relation between arc sections and nodes in the map vectorization process.
Adopting depth-first traversal to the pipe network graph, and accessing each node in the graph by using the idea of depth-first traversal: the method comprises the steps that traversing is started by taking a certain vertex V1 in a pipe network diagram as a starting point, adjacent points V2 and V3 of V1 are found after a vertex V1 is visited, whether the vertex V2 and the vertex V3 are visited or not is judged, if the vertex V1 is not visited, the vertex which is not visited is marked, and then searching is continued by taking V2 as a new starting point; similar to the previous searching process, all the adjacent points V1, V4 and V5 of the punctuation point V2 are continuously found, and the analysis V2 is judged to be visited, and V4 and V5 are not visited, so that the searching is started by taking V4 and V5 as starting points in sequence. The adjacent point V8 of V4 is accessed. The adjacency point of V5 is also V8, page V8 has been visited, and V8 has no unvisited adjacency point, and then the search is returned to starting with V3 as the vertex, and the above process is repeated until all vertices have been visited. The access sequence of each vertex obtained by the traversal process is as follows: V1-V2-V4-V8-V5-V3-V6-V7. The above process is a process of continuously searching the unaccessed adjacent points and continuously accessing the vertex, and traversal is realized through recursion and iterative algorithm.
When pipe explosion occurs in the pipe network, a large flow rate and a sudden pressure drop are generated at the pipe explosion point in a short time. The pressure and flow monitoring points distributed in the pipe network can rapidly monitor the change. However, traffic monitoring is expensive and has limited capacity for determining traffic anomalies for complex loop networks. Compared with the flow monitoring point, the pressure monitoring point has low cost and can reflect the abnormal change of the running state from the whole layer system of the pipe network, so that the pipe explosion point is analyzed and positioned by adopting pressure data.
The pressure analysis mode adopts single-pressure analysis and single-point pressure drop analysis;
when single pressure analysis is adopted, pressure monitoring data of a certain monitoring point is called, one same moment is selected to carry out repeated measurement comparison for multiple times at the same time, if the measurement data accord with normal distribution, the monitoring point is a normal point, otherwise, the monitoring point is a pipe explosion point.
When single-point pressure drop analysis is adopted, pressure monitoring data of a certain monitoring point is taken and combined with pressure drop data of the monitoring point within a period of time, and whether pipe explosion occurs at the monitoring point is judged.
B, when the pipe bursting fault is determined, determining the pipe bursting position according to the pipe bursting positioning neural network model;
the construction method of the pipe bursting positioning neural network model comprises the following steps:
b1, constructing an input layer;
the neuron of input layer is 3, and every neuron corresponds a monitoring site, and the variable of input layer is the pressure change rate of monitoring site when the pipe burst takes place, and the computational formula is:
ri=Pi−P′i；
in the formula: ri is the pressure change rate of the monitoring point i; pi is the pressure of a monitoring point i under the normal operation working condition; p' i is the pressure value of the monitoring point i in the case of a pipe explosion accident;
b2, constructing hidden layer
Setting 1 hidden layer neuron;
b3, constructing an output layer;
the variable of the output layer is the distance d ' 1, d ' 2 and d ' 3 between the tube explosion point and the three pressure monitoring points of the input layer; the number of neurons in the output layer is 1, and the output value is d' i;
b4, combining the steps B1-B3 to obtain a detonator positioning neural network model:
d′i=f(r1,r2,r3) i=1,2,3；
the model reflects the corresponding relation between the pipe explosion point position and the pressure change rate of the monitoring point.
As a preferred scheme of the invention, the intelligent water supply pipe network explosion analysis system further comprises a hydraulic simulation module, and the real-time detection data is transferred from the water supply sub-pipe network explosion database, the district water supply sub-pipe network explosion database, the community water supply sub-pipe network explosion database and the user water supply sub-pipe network explosion database and is operated on the GIS water supply pipe network model to obtain the pressure and the instantaneous flow of each pipe network node or end pipe point of the current water supply pipe network and the real-time water flow direction of each pipe section, so as to provide scientific and effective auxiliary design support for the design and construction of the water supply pipe network.
The GIS water supply sub-pipe network model is subjected to time delay simulation, the basic method is based on the pipe network hydraulic adjustment calculation principle, the water consumption which changes in different time periods is used as a dynamic variable, the pipe network running states in different time periods are subjected to calculation simulation, the working condition is considered to be unchanged in each time period,
the GIS water supply sub-pipe network model delay hydraulic simulation divides a day into n time intervals, generally takes 15 minutes or half an hour or an hour as a unit, divides the time intervals into a plurality of time intervals, takes the average node flow of each time interval as calculation data to carry out hydraulic adjustment calculation, and can approximately simulate various continuous operation states in the GIS water supply sub-pipe network model.
Setting Qavg as the average total water supply in one day, Qi as the total water supply of the pipe network in each time period, and ki as the water quantity coefficient in each time period. The coefficients form a water consumption mode curve in the pipe network, or called a weight coefficient curve, each type of user can calculate the water consumption mode curve, the respective node flow of each type of user can be calculated by combining the average flow of each type of user, and the delay simulation calculation of the GIS water supply sub-pipe network model can be performed by combining other parameters in the pipe network.
When the model is used for dynamically simulating the hydraulic condition of the pipe network, a water use mode curve of a user needs to be made. The purpose of this process is to seek out the water usage profile for large users and several other types of users.
The basic principle is as follows: the system water balance equation has two calculation methods of a non-metering water consumption mode: "Net Night Flow Method" (Net Night Flow Method) and "Average Flow Method" (Average Flow Method); there are also two methods of dispensing no metering water at each time point: the first is that the water without metering in the pipe network is distributed to each water consumption node according to the percentage of the number of the water meters connected to the water consumption node to the total number of the water meters in the research area of the pipe network; the other method is to distribute the non-metering water to the downstream water consumption node according to the proportion of the length of the water delivery pipe between the dual-purpose water consumption nodes in the model to the length of the main pipe in the model.
Curve of non-domestic water consumption
Non-residential users include large industrial users that have a considerable impact on the local hydraulic network. It is therefore necessary to establish a specific water usage curve for these large industrial users, while deciding to establish a general water usage curve for smaller non-domestic users. Because this includes a large number of users using water, but manual meter reading in field test is unavoidable, some limit conditions can be imposed on the test work according to actual conditions, and the meter reading mode and time can be determined according to the size range of the average monthly water consumption of the users using water.
Meanwhile, non-civil users are divided into large users, class B of one class, class C of two classes and class D of three classes. And determining the 24-hour water use change curve of each type of user according to the data obtained by the field test.
Domestic water consumption curve
After the water consumption curves of non-domestic and unmeasured water are established, the domestic water consumption curve is still determined. It is not directly obtained by measurement like other water consumption types, but is calculated by matching the total result of civil water consumption and other water consumption types with the water demand of the system.
Therefore, the curve of domestic water consumption can be comprehensively obtained from the curves of water demand of a system, water consumption of a large user (6 days and 7 days of work), non-domestic water consumption (B type, C type and D type) and unmeasured water consumption. And (4) deducting the curve of the water consumption of the system from the curve of the non-domestic water consumption and the curve of the non-domestic water consumption to obtain the domestic water consumption curve. The change coefficient of the civil water consumption in 24 hours can be obtained by dividing the civil water consumption in each time interval of the selected check day by the average civil water consumption in hours.
As a preferred scheme of the invention, the intelligent water supply pipe network pipe explosion analysis system further comprises a pipe explosion emergency scheme analysis module, wherein the pipe explosion emergency scheme analysis module comprises a valve closing scheme generation submodule, a temporary database, a valve closing scheme database, a valve closing analysis submodule and a water cut-off analysis submodule;
and the valve closing scheme generating submodule is used for calling corresponding pipe explosion fault information from a water supply sub-pipe network pipe explosion database or a district water supply sub-pipe network pipe explosion database or a community water supply sub-pipe network pipe explosion database or a user water supply sub-pipe network pipe explosion database and analyzing the corresponding pipe explosion fault information to generate a preliminary valve closing scheme, and the preliminary valve closing scheme is stored in the temporary database.
The valve closing analysis submodule is used for calling a preliminary valve closing scheme from the temporary database and running on the GIS water supply pipe network model, and if the preliminary valve closing scheme is normal, the preliminary valve closing scheme corresponding to the current pipe explosion accident is stored in the valve closing scheme database; and if the primary valve closing scheme has a valve failure, transmitting the failure valve information to a valve closing scheme generation submodule, generating a secondary valve closing scheme by the valve closing scheme generation submodule, and storing the secondary valve closing scheme into a valve closing scheme database.
And the water cut-off analysis submodule calls a valve closing scheme from the valve closing scheme database, operates on the GIS water supply network model, obtains water cut-off area information corresponding to the valve closing scheme and displays the water cut-off area information on the GIS water supply network model.
The invention combines real-time monitoring and a GIS system to carry out pipe burst analysis on a water supply network, divides the whole water supply network into four sub-networks to carry out monitoring transmission and processing in parallel in order to transmit complicated and complex water supply data more accurately and quickly, improves the data transmission efficiency and accuracy, combines data in a GIS database to generate the GIS water supply network, can intuitively display the state of the water supply network in two-dimensional integration and accurately position the pipe burst position, stores the used database on a cloud platform, combines the Internet of things, big data, the cloud platform, the GIS system and SCADA monitoring, provides more comprehensive and convenient pipeline monitoring and analysis for a user, and comprehensively monitors the water supply condition of the water supply network.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Example (b):
an intelligent water service water supply network pipe burst analysis system at least comprises a GIS water supply network model module and a pipe burst analysis module, wherein the GIS water supply network model module generates a GIS water supply network model according to collected data and GIS data; the GIS water supply pipe network model generation steps are as follows:
s1, setting up a monitoring station;
dividing the whole water supply network into a water supply sub-network, a district water supply sub-network, a community water supply sub-network and a user water supply sub-network; the water supply sub-pipe network supplies water to a plurality of district water supply sub-pipe networks, one district water supply sub-pipe network supplies water to a plurality of community water supply sub-pipe networks, and one community water supply sub-pipe network supplies water to a plurality of user water supply sub-pipe networks.
The method comprises the following steps: a plurality of monitoring stations I are arranged on a field water supply pipeline of a water supply sub-pipeline network, each monitoring station I at least comprises three monitoring pipelines I, and each monitoring pipeline I is provided with a pressure acquisition part I and a flow acquisition part I.
The method comprises the steps that a plurality of district monitoring stations are arranged on a field water supply pipeline of a district water supply sub-pipeline network, each district monitoring station is provided with at least three district monitoring pipelines, and each district monitoring pipeline is provided with a district flow detection piece and a district pressure detection piece.
A plurality of community monitoring sites are set up on the on-site water supply pipeline of the community water supply sub-pipeline network, each community monitoring site is provided with at least three community monitoring pipelines, and a community flow detection piece and a community pressure detection piece are installed on each community monitoring pipeline.
A plurality of user monitoring stations are arranged on a field water supply pipeline of a user water supply sub-pipeline network, each user monitoring station is provided with at least three user monitoring pipelines, and each user monitoring pipeline is provided with a user flow detection piece and a user pressure detection piece.
S2, collecting and storing real-time information of each monitoring station;
the method comprises the following steps:
a flow detection part I and a pressure detection part I in one monitoring station I are respectively connected with a data acquisition unit I, a middle-level data acquisition unit I is connected with a data acquisition unit I of at least one monitoring station I, a high-level data acquisition unit I is connected with at least one middle-level data acquisition unit I, and the high-level data acquisition unit I transmits acquired real-time data to a water supply sub-network database through a communication module I.
The system comprises a plurality of jurisdictions, a plurality.
The community flow detection part and the community pressure detection part in one community monitoring site are respectively connected with a community data collector, one community medium-grade data collector is connected with the community data collector of at least one community monitoring site, one community high-grade data collector is at least connected with one community medium-grade data collector, and the community high-grade data collector transmits collected real-time data to a community water supply sub-network database through a community communication module.
The user flow detection part and the user pressure detection part in one user monitoring station are respectively connected with a user data collector, one user middle-level data collector is connected with at least one user data collector of the user monitoring station, one user high-level data collector is at least connected with one user middle-level data collector, and the user high-level data collector transmits collected real-time data to a user water supply sub-network database through a user communication module.
The four divided sub-pipe networks are in the same level and run in parallel, real-time data are transmitted and stored respectively, and complicated water supply data can be accurately divided by the parallel mode, so that the data transmission efficiency is improved.
S3, establishing a GIS water supply network model;
s3.1, establishing a GIS water supply sub-pipe network model;
s3.1.1, collecting data related to water supply sub-pipe network and establishing GIS water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of the whole water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary nodes are boundary nodes with known hydraulic gradient and comprise facilities such as a water reservoir, a water tower and a pressure source, and the boundary nodes define the initial hydraulic gradient of any calculation period. These nodes constitute the basic hydraulic constraints that determine the conditions of all other nodes in the system operation.
The virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the valve is a mechanical device for stopping or controlling water flow in the pipeline, and can also control the pipeline pressure when water flow passes through the valve in a counter-flow or concurrent flow mode.
The pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.1.2, the model generator calls corresponding information from the GIS database to build a pipe network model, and the modeling follows the mass/energy conservation law and the energy principle.
S3.1.3, calculating the regional water demand of the water supply sub-pipe network;
dividing a water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a water supply sub-pipeline network database to calculate regional water demand;
s3.1.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a water supply sub-pipeline network database and adopting a clean flow method or an average flow method at night;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.1.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a water supply sub-pipe network model;
s3.2, establishing a water supply sub-network model of the GIS district;
s3.2.1, collecting relevant data of the district water supply sub-pipe network and establishing a GIS district water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of a water supply sub-pipe network in the whole jurisdiction and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary node is a boundary node with known hydraulic gradient and comprises facilities such as a reservoir, a water tower, a pressure source and the like;
the virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.2.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
parameters which may not be directly imported in the compatible process of the GIS database and the model generator, such as ground elevation (node elevation), geographic coordinates of extra-large users, water usage type and the like, need to be acquired by considering other effective ways, and the specific steps are as follows:
first, user data
1. Composition, water usage type and distribution of users;
2. data of monthly meter reading data of annual water consumption of various users in the area covered by the model to be established;
3. near and long term water usage curves;
4. dividing the meter reading area of each business office;
second, pressure and flow measurement data
1. Dispatching data such as coordinates, detailed positions, sensor installation elevations, data acquisition and transmission integrity, monitoring pressure values and the like of an automatic remote measuring point of an SCADA system;
2. the method comprises the following steps that under a typical water supply condition, effective pressure data can be acquired each time, and the number of the effective pressure data is more than 1% of the total number of nodes of a model to be built;
3. the ground elevation of the pressure measuring point of the fire hydrant, the type of the fire hydrant and the pressure measuring day scheduling data;
4. on-line flow instrument monitoring data and on-site flow measurement data
Scheduling data of pipe network
1. Parameters, operation scheduling conditions and characteristic curves of all water pumps;
2. the embedding position, the type, the size, the opening degree and the use condition of the key valve;
3. the pressure-measuring daily water supply network dispatching log is used for model checking;
4. adjusting the type, quantity, position, operation parameters and scheduling condition of the construction;
5. parameters of reservoirs, clean water pools, water towers and the like comprise water level change curves, volumes, pool bottom elevation, overflow water level and the like;
6. drag coefficient of typical pipelines.
After all the data are collected, the pipe network GIS data corresponding to the pipe network model modeled by the model generator mainly comprises vector data and raster data.
The vector data comprises pipe network data and basic geographic data.
Pipe network data: the system mainly comprises information such as a water supply pipeline, a valve, a fire hydrant, a node, a water plant, a water pump, a plug, a pressure measuring point, a flow measuring point, a check point, an exhaust valve, a mud valve and the like. The water supply network is the main data of the GIS, so the quality of the data directly determines the quality of the system. And therefore, a great deal of effort is required to ensure the integrity, correctness, timeliness and consistency of the data.
Basic geographic data: the water supply network mainly comprises main basic geographic elements in a water supply network coverage area, and mainly comprises road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI (point of interest) and other information. The basic geographic data is the main reference basis of the water supply network, and the attractiveness of the map and the correctness of system query are influenced by the quality of the basic geographic data. Therefore, the basic geographic data must be correct and have strong timeliness.
The raster data mainly comprises an ortho-image DOM and a digital elevation model DEM;
the orthographic image DOM is that the orthographic image is mainly from a Taile map or a satellite image provided by a client, and image data must ensure that vector data and the image data can be correctly superposed.
The digital elevation model DEM is obtained by mainly converting elevation point or contour line data and is used for representing information such as topographic relief of continuous ground, direct image to cross section and longitudinal section analysis, three-dimensional modeling and the like.
S3.2.3, calculating the regional water demand of the district water supply sub-pipe network;
dividing a district water supply sub-network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region and the water inflow of pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant inflow, boundary pipeline inflow and reservoir inflow from a district water supply sub-network database to calculate regional water demand;
s3.2.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a district water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database of the district; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.2.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a district water supply sub-pipe network model;
s3.3, establishing a GIS community water supply sub-pipe network model;
s3.3.1, collecting the relative data of community water supply sub-network and building GIS community water supply sub-network database;
collecting pipe network facility information and geographic information in the coverage area of the whole community water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary node is a boundary node with known hydraulic gradient and comprises facilities such as a reservoir, a water tower, a pressure source and the like;
the virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.3.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
parameters which may not be directly imported in the compatible process of the GIS database and the model generator, such as ground elevation (node elevation), geographic coordinates of extra-large users, water usage type and the like, need to be acquired by considering other effective ways, and the specific steps are as follows:
first, user data
1. Composition, water usage type and distribution of users;
2. data of monthly meter reading data of annual water consumption of various users in the area covered by the model to be established;
3. near and long term water usage curves;
4. dividing the meter reading area of each business office;
second, pressure and flow measurement data
1. Dispatching data such as coordinates, detailed positions, sensor installation elevations, data acquisition and transmission integrity, monitoring pressure values and the like of an automatic remote measuring point of an SCADA system;
2. the method comprises the following steps that under a typical water supply condition, effective pressure data can be acquired each time, and the number of the effective pressure data is more than 1% of the total number of nodes of a model to be built;
3. the ground elevation of the pressure measuring point of the fire hydrant, the type of the fire hydrant and the pressure measuring day scheduling data;
4. on-line flow instrument monitoring data and on-site flow measurement data
Scheduling data of pipe network
1. Parameters, operation scheduling conditions and characteristic curves of all water pumps;
2. the embedding position, the type, the size, the opening degree and the use condition of the key valve;
3. the pressure-measuring daily water supply network dispatching log is used for model checking;
4. adjusting the type, quantity, position, operation parameters and scheduling condition of the construction;
5. parameters of reservoirs, clean water pools, water towers and the like comprise water level change curves, volumes, pool bottom elevation, overflow water level and the like;
6. drag coefficient of typical pipelines.
After all the data are collected, the pipe network GIS data corresponding to the pipe network model modeled by the model generator mainly comprises vector data and raster data.
The vector data comprises pipe network data and basic geographic data.
Pipe network data: the system mainly comprises information such as a water supply pipeline, a valve, a fire hydrant, a node, a water plant, a water pump, a plug, a pressure measuring point, a flow measuring point, a check point, an exhaust valve, a mud valve and the like. The water supply network is the main data of the GIS, so the quality of the data directly determines the quality of the system. And therefore, a great deal of effort is required to ensure the integrity, correctness, timeliness and consistency of the data.
Basic geographic data: the water supply network mainly comprises main basic geographic elements in a water supply network coverage area, and mainly comprises road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI (point of interest) and other information. The basic geographic data is the main reference basis of the water supply network, and the attractiveness of the map and the correctness of system query are influenced by the quality of the basic geographic data. Therefore, the basic geographic data must be correct and have strong timeliness.
The raster data mainly comprises an ortho-image DOM and a digital elevation model DEM;
the orthographic image DOM is that the orthographic image is mainly from a Taile map or a satellite image provided by a client, and image data must ensure that vector data and the image data can be correctly superposed.
The digital elevation model DEM is obtained by mainly converting elevation point or contour line data and is used for representing information such as topographic relief of continuous ground, direct image to cross section and longitudinal section analysis, three-dimensional modeling and the like.
S3.3.3, calculating the regional water demand of the community water supply sub-pipe network;
dividing a community water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a community water supply sub-network database to calculate regional water demand;
s3.3.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a community water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a community water supply sub-network database; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.3.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a community water supply sub-pipe network model;
in principle, the method comprises the following steps:
the establishment of the community water supply sub-pipe network model can adopt node flow, the node flow is an essential condition for starting calculation of the water supply system pipe network model, and the following information needs to be fully known before the node flow is calculated:
total water demand in the system;
geographical distribution of water demand, including unmeasured water usage;
different types of water usage;
various daily water demand forms of different user types;
large industrial users with considerable impact on the network of pipes due to the large amount of water used or the unconventional forms of water used.
The user in the actual water supply pipe network system is the prototype of the water consumption node in the pipe network model, and the water consumption of the user is the node flow of the node in the water supply pipe network model. However, the water consumption of users in the actual water supply system has randomness, periodicity and uncertainty, and how to simulate the water consumption process of the users is a calculation method of the node flow in the model. The calculation of the node flow is based on a large amount of field measured data, large-user field meter reading data and monthly user water meter reading data. And establishing a set of data calculation model by sampling and analyzing the next data.
(1) Water consumption distribution of users;
node traffic regions are first delineated on the topographical map. The process aims to solve the monthly average node flow value of each water consumption node and establish the connection relation between the water consumption node number and the user meter reading number. The geographical distribution of water usage is obtained by distributing water demand to each node by the associated node area.
(2) Water consumption data;
establishing a water consumption database of the nodes of the water supply area, wherein once the water consumption database is determined, the water consumption of each user can be converted into the node water consumption of each node in the model, and the database comprises the following tables:
service area water usage data sheet
Model water consumption data sheet
Various user data sheets of water consumption of different nature
(3) Water requirement of the system;
the system water demand is a 24 hour curve of the total water usage in the pipe network model during the selected calibration date. It includes the basic variation of unmeasured water usage and reservoir water storage. The water demand of the system was calculated from every 15 minutes of data measured on the selected calibration day for use in the model. They are derived by summing the water intakes of all waterworks and pipelines on the boundary in the model and subtracting the water intakes of the reservoirs in the model. Because the manual reading of the water plant effluent is continuously carried out, the obtained result is smoother. All data used to provide the water demand of the system was obtained from field testing. The profile of the system water demand is the sum of all water demand profiles for various user types in the test area.
Calculating the flow into the System by testing the waterworks and the boundary points
Determining the inflow rate of reservoir by reservoir level test and reservoir volume curve
And calculating a 24-hour system water demand change curve.
S3.4, establishing a GIS user water supply sub-pipe network model;
s3.4.1, collecting the data related to the user water supply sub-pipe network and establishing a GIS user water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of the whole user water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups, fire hydrants and the like;
the boundary node is a boundary node with known hydraulic gradient and comprises facilities such as a reservoir, a water tower, a pressure source and the like;
the virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying times, buried depth, node types, pipeline connection modes and the like;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI and other information;
s3.4.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
parameters which may not be directly imported in the compatible process of the GIS database and the model generator, such as ground elevation (node elevation), geographic coordinates of extra-large users, water usage type and the like, need to be acquired by considering other effective ways, and the specific steps are as follows:
first, user data
1. Composition, water usage type and distribution of users;
2. data of monthly meter reading data of annual water consumption of various users in the area covered by the model to be established;
3. near and long term water usage curves;
4. dividing the meter reading area of each business office;
second, pressure and flow measurement data
1. Dispatching data such as coordinates, detailed positions, sensor installation elevations, data acquisition and transmission integrity, monitoring pressure values and the like of an automatic remote measuring point of an SCADA system;
2. the method comprises the following steps that under a typical water supply condition, effective pressure data can be acquired each time, and the number of the effective pressure data is more than 1% of the total number of nodes of a model to be built;
3. the ground elevation of the pressure measuring point of the fire hydrant, the type of the fire hydrant and the pressure measuring day scheduling data;
4. on-line flow instrument monitoring data and on-site flow measurement data
Scheduling data of pipe network
1. Parameters, operation scheduling conditions and characteristic curves of all water pumps;
2. the embedding position, the type, the size, the opening degree and the use condition of the key valve;
3. the pressure-measuring daily water supply network dispatching log is used for model checking;
4. adjusting the type, quantity, position, operation parameters and scheduling condition of the construction;
5. parameters of reservoirs, clean water pools, water towers and the like comprise water level change curves, volumes, pool bottom elevation, overflow water level and the like;
6. drag coefficient of typical pipelines.
After all the data are collected, the pipe network GIS data corresponding to the pipe network model modeled by the model generator mainly comprises vector data and raster data.
The vector data comprises pipe network data and basic geographic data.
Pipe network data: the system mainly comprises information such as a water supply pipeline, a valve, a fire hydrant, a node, a water plant, a water pump, a plug, a pressure measuring point, a flow measuring point, a check point, an exhaust valve, a mud valve and the like. The water supply network is the main data of the GIS, so the quality of the data directly determines the quality of the system. And therefore, a great deal of effort is required to ensure the integrity, correctness, timeliness and consistency of the data.
Basic geographic data: the water supply network mainly comprises main basic geographic elements in a water supply network coverage area, and mainly comprises road information, building information, river information, greening (information such as parks, entertainment places and tourist attractions), POI (point of interest) and other information. The basic geographic data is the main reference basis of the water supply network, and the attractiveness of the map and the correctness of system query are influenced by the quality of the basic geographic data. Therefore, the basic geographic data must be correct and have strong timeliness.
The raster data mainly comprises an ortho-image DOM and a digital elevation model DEM;
the orthographic image DOM is that the orthographic image is mainly from a Taile map or a satellite image provided by a client, and image data must ensure that vector data and the image data can be correctly superposed.
The digital elevation model DEM is obtained by mainly converting elevation point or contour line data and is used for representing information such as topographic relief of continuous ground, direct image to cross section and longitudinal section analysis, three-dimensional modeling and the like.
S3.4.3, calculating the regional water demand of the user water supply sub-pipe network;
dividing a user water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of the reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a user water supply sub-network database to calculate regional water demand;
s3.4.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a user water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of the water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database of the users; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.4.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a user water supply sub-pipe network model;
s3.5, establishing a whole GIS water supply network model;
and fusing the GIS water supply sub-network model, the GIS district water supply sub-network model, the GIS community water supply sub-network model and the GIS user water supply sub-network model under the effect of the GIS network topology relationship to obtain the whole GIS water supply network model.
The user water supply sub-pipe network module adopts a calculation algorithm for calculating the average daily water consumption. The purpose is in order to guarantee that all water consumption records are included, because the work of checking meter of a large amount of users is that the meter is checked in the month of two, some users check meter in odd number month, some users check meter in even number month, therefore the problem that the user's data that the business office copied have incompleteness exists.
The users with different properties are totally classified into 6 types according to the properties of the users. The method comprises the following steps:
big user
Civil Water class A
Non-civil water user B type (class one)
Nonfaway Water user class C (class two)
Non-civil water user D type (three class system)
Non-metered classes
The pipe explosion analysis module is used for analyzing the acquired pressure data to judge whether a pipe explosion fault exists or not, and if the pipe explosion fault exists, positioning a pipe explosion area and displaying the pipe explosion area on a GIS water supply pipe network model; when pipe explosion occurs on the water supply pipe network, the collected real-time data imply the working condition information of the pipe explosion, and the data have guiding effect on the judgment and positioning of the pipe explosion.
The tube explosion analysis module comprises the following analysis steps:
a, traversing pipe network nodes, and carrying out pressure analysis on real-time pressure data to judge whether pipe burst faults exist;
the traversal of the nodes of the pipe network adopts a depth-first traversal mode, and because the pipe network pipe explosion analysis is carried out on the premise of establishing a correct network topology relation. In the topological relation of the network, because the linear devices such as a pipe network and the like are generally abstracted into the arc sections of the network, the point devices such as a valve, a pressure regulating box and the like are abstracted into the nodes of the network, and the network nodes are positioned at the connection positions and the intersection positions of a plurality of arc sections in the current pipe network information system, the topological relation problem of only considering the topological relation between the arc sections and between the arc sections and the nodes is simplified in the GIS network topology.
Storing a topological relation through a node-arc segment topological structure in the GIS network, wherein each node comprises an identification number, a geographical position, an associated arc segment number, an associated arc segment identification point and other attribute data of the node; each arc segment comprises an arc segment identification number, a starting point identification number, an end node identification number and other attribute data. Similar storage structures are also adopted in ArcGIS, and ArcGIS software can help to establish the topological relation between arc sections and nodes in the map vectorization process.
Adopting depth-first traversal to the pipe network graph, and accessing each node in the graph by using the idea of depth-first traversal: the method comprises the steps that traversing is started by taking a certain vertex V1 in a pipe network diagram as a starting point, adjacent points V2 and V3 of V1 are found after a vertex V1 is visited, whether the vertex V2 and the vertex V3 are visited or not is judged, if the vertex V1 is not visited, the vertex which is not visited is marked, and then searching is continued by taking V2 as a new starting point; similar to the previous searching process, all the adjacent points V1, V4 and V5 of the punctuation point V2 are continuously found, and the analysis V2 is judged to be visited, and V4 and V5 are not visited, so that the searching is started by taking V4 and V5 as starting points in sequence. The adjacent point V8 of V4 is accessed. The adjacency point of V5 is also V8, page V8 has been visited, and V8 has no unvisited adjacency point, and then the search is returned to starting with V3 as the vertex, and the above process is repeated until all vertices have been visited. The access sequence of each vertex obtained by the traversal process is as follows: V1-V2-V4-V8-V5-V3-V6-V7. The above process is a process of continuously searching the unaccessed adjacent points and continuously accessing the vertex, and traversal is realized through recursion and iterative algorithm.
When pipe explosion occurs in the pipe network, a large flow rate and a sudden pressure drop are generated at the pipe explosion point in a short time. The pressure and flow monitoring points distributed in the pipe network can rapidly monitor the change. However, traffic monitoring is expensive and has limited capacity for determining traffic anomalies for complex loop networks. Compared with the flow monitoring point, the pressure monitoring point has low cost and can reflect the abnormal change of the running state from the whole layer system of the pipe network, so that the pipe explosion point is analyzed and positioned by adopting pressure data.
The pressure analysis mode adopts single-pressure analysis and single-point pressure drop analysis;
when single pressure analysis is adopted, pressure monitoring data of a certain monitoring point is called, one same moment is selected to carry out repeated measurement comparison for multiple times at the same time, if the measurement data accord with normal distribution, the monitoring point is a normal point, otherwise, the monitoring point is a pipe explosion point.
When single-point pressure drop analysis is adopted, pressure monitoring data of a certain monitoring point is taken and combined with pressure drop data of the monitoring point within a period of time, and whether pipe explosion occurs at the monitoring point is judged.
B, when the pipe bursting fault is determined, determining the pipe bursting position according to the pipe bursting positioning neural network model;
the construction method of the pipe bursting positioning neural network model comprises the following steps:
b1, constructing an input layer;
the neuron of input layer is 3, and every neuron corresponds a monitoring site, and the variable of input layer is the pressure change rate of monitoring site when the pipe burst takes place, and the computational formula is:
ri=Pi−P′i；
in the formula: ri is the pressure change rate of the monitoring point i; pi is the pressure of a monitoring point i under the normal operation working condition; p' i is the pressure value of the monitoring point i in the case of a pipe explosion accident;
b2, constructing hidden layer
Setting 1 hidden layer neuron;
b3, constructing an output layer;
the variable of the output layer is the distance d ' 1, d ' 2 and d ' 3 between the tube explosion point and the three pressure monitoring points of the input layer; the number of neurons in the output layer is 1, and the output value is d' i;
b4, combining the steps B1-B3 to obtain a detonator positioning neural network model:
d′i=f(r1,r2,r3) i=1,2,3；
the model reflects the corresponding relation between the pipe explosion point position and the pressure change rate of the monitoring point.
Wisdom water utilities water supply pipe network explodes tub analytic system still includes hydraulic simulation module, from the water supply sub-pipe network explode tub database, district's water supply sub-pipe network explodes tub database, community's water supply sub-pipe network explodes tub database and user's water supply sub-pipe network explodes tub database and transfers real-time detection data and move on GIS water supply pipe network model, obtain pressure and instantaneous flow of each pipe network node or tip pipe point of current water supply pipe network, and the real-time rivers direction of each pipeline section, for water supply pipe design construction, provide scientific effectual auxiliary design support more.
The GIS water supply sub-pipe network model is subjected to time delay simulation, the basic method is based on the pipe network hydraulic adjustment calculation principle, the water consumption which changes in different time periods is used as a dynamic variable, the pipe network running states in different time periods are subjected to calculation simulation, the working condition is considered to be unchanged in each time period,
the GIS water supply sub-pipe network model delay hydraulic simulation divides a day into n time intervals, generally takes 15 minutes or half an hour or an hour as a unit, divides the time intervals into a plurality of time intervals, takes the average node flow of each time interval as calculation data to carry out hydraulic adjustment calculation, and can approximately simulate various continuous operation states in the GIS water supply sub-pipe network model.
Setting Qavg as the average total water supply in one day, Qi as the total water supply of the pipe network in each time period, and ki as the water quantity coefficient in each time period. The coefficients form a water consumption mode curve in the pipe network, or called a weight coefficient curve, each type of user can calculate the water consumption mode curve, the respective node flow of each type of user can be calculated by combining the average flow of each type of user, and the delay simulation calculation of the GIS water supply sub-pipe network model can be performed by combining other parameters in the pipe network.
When the model is used for dynamically simulating the hydraulic condition of the pipe network, a water use mode curve of a user needs to be made. The purpose of this process is to seek out the water usage profile for large users and several other types of users.
The basic principle is as follows: the system water balance equation has two calculation methods of a non-metering water consumption mode: "Net Night Flow Method" (Net Night Flow Method) and "Average Flow Method" (Average Flow Method); there are also two methods of dispensing no metering water at each time point: the first is that the water without metering in the pipe network is distributed to each water consumption node according to the percentage of the number of the water meters connected to the water consumption node to the total number of the water meters in the research area of the pipe network; the other method is to distribute the non-metering water to the downstream water consumption node according to the proportion of the length of the water delivery pipe between the dual-purpose water consumption nodes in the model to the length of the main pipe in the model.
Curve of non-domestic water consumption
Non-residential users include large industrial users that have a considerable impact on the local hydraulic network. It is therefore necessary to establish a specific water usage curve for these large industrial users, while deciding to establish a general water usage curve for smaller non-domestic users. Because this includes a large number of users using water, but manual meter reading in field test is unavoidable, some limit conditions can be imposed on the test work according to actual conditions, and the meter reading mode and time can be determined according to the size range of the average monthly water consumption of the users using water.
Meanwhile, non-civil users are divided into large users, class B of one class, class C of two classes and class D of three classes. And determining the 24-hour water use change curve of each type of user according to the data obtained by the field test.
Domestic water consumption curve
After the water consumption curves of non-domestic and unmeasured water are established, the domestic water consumption curve is still determined. It is not directly obtained by measurement like other water consumption types, but is calculated by matching the total result of civil water consumption and other water consumption types with the water demand of the system.
Therefore, the curve of domestic water consumption can be comprehensively obtained from the curves of water demand of a system, water consumption of a large user (6 days and 7 days of work), non-domestic water consumption (B type, C type and D type) and unmeasured water consumption. And (4) deducting the curve of the water consumption of the system from the curve of the non-domestic water consumption and the curve of the non-domestic water consumption to obtain the domestic water consumption curve. The change coefficient of the civil water consumption in 24 hours can be obtained by dividing the civil water consumption in each time interval of the selected check day by the average civil water consumption in hours.
The intelligent water supply pipe network pipe explosion analysis system further comprises a pipe explosion emergency scheme analysis module, and the pipe explosion emergency scheme analysis module comprises a valve closing scheme generation submodule, a temporary database, a valve closing scheme database, a valve closing analysis submodule and a water cut-off analysis submodule;
and the valve closing scheme generating submodule is used for calling corresponding pipe explosion fault information from a water supply sub-pipe network pipe explosion database or a district water supply sub-pipe network pipe explosion database or a community water supply sub-pipe network pipe explosion database or a user water supply sub-pipe network pipe explosion database and analyzing the corresponding pipe explosion fault information to generate a preliminary valve closing scheme, and the preliminary valve closing scheme is stored in the temporary database.
The valve closing analysis submodule is used for calling a preliminary valve closing scheme from the temporary database and running on the GIS water supply pipe network model, and if the preliminary valve closing scheme is normal, the preliminary valve closing scheme corresponding to the current pipe explosion accident is stored in the valve closing scheme database; and if the primary valve closing scheme has a valve failure, transmitting the failure valve information to a valve closing scheme generation submodule, generating a secondary valve closing scheme by the valve closing scheme generation submodule, and storing the secondary valve closing scheme into a valve closing scheme database.
And the water cut-off analysis submodule calls a valve closing scheme from the valve closing scheme database, operates on the GIS water supply network model, obtains water cut-off area information corresponding to the valve closing scheme and displays the water cut-off area information on the GIS water supply network model.
Claims (7)
1. The utility model provides an wisdom water utilities water supply pipe network tube explosion analytic system which characterized in that: the system at least comprises a GIS water supply network model module and a pipe burst analysis module, wherein the GIS water supply network model module generates a GIS water supply network model according to collected data and GIS data; the GIS water supply pipe network model generation steps are as follows:
s1, setting up a monitoring station;
dividing the whole water supply network into a water supply sub-network, a district water supply sub-network, a community water supply sub-network and a user water supply sub-network; the water supply sub-pipe network supplies water to a plurality of district water supply sub-pipe networks, one district water supply sub-pipe network supplies water to a plurality of community water supply sub-pipe networks, and one community water supply sub-pipe network supplies water to a plurality of user water supply sub-pipe networks;
a plurality of monitoring stations are arranged on the site water supply pipeline of each sub-pipe network, and each monitoring station is provided with a plurality of pressure acquisition pieces and flow acquisition pieces;
s2, collecting and storing real-time information of each monitoring station;
s3, establishing a GIS water supply network model;
and the pipe explosion analysis module analyzes the acquired pressure data to judge whether a pipe explosion fault exists, and if so, the pipe explosion area is positioned and displayed on the GIS water supply pipe network model.
2. The intelligent water service water supply network pipe burst analysis system of claim 1, wherein: the set-up of the monitoring station is in particular,
a plurality of monitoring stations I are arranged on a field water supply pipeline of a water supply sub-pipeline network, each monitoring station I at least comprises three monitoring pipelines I, and each monitoring pipeline I is provided with a pressure acquisition part I and a flow acquisition part I;
establishing a plurality of district monitoring stations in a field water supply pipeline of a district water supply sub-pipeline network, wherein each district monitoring station is provided with at least three district monitoring pipelines, and each district monitoring pipeline is provided with a district flow detection piece and a district pressure detection piece;
the method comprises the following steps that a plurality of community monitoring stations are arranged on a field water supply pipeline of a community water supply sub-pipeline network, each community monitoring station is provided with at least three community monitoring pipelines, and each community monitoring pipeline is provided with a community flow detection piece and a community pressure detection piece;
a plurality of user monitoring stations are arranged on a field water supply pipeline of a user water supply sub-pipeline network, each user monitoring station is provided with at least three user monitoring pipelines, and each user monitoring pipeline is provided with a user flow detection piece and a user pressure detection piece.
3. The intelligent water service water supply network pipe burst analysis system of claim 2, wherein: the real-time information acquisition of each monitoring station is specifically,
a flow detection part I and a pressure detection part I in one monitoring station I are respectively connected with a data acquisition unit I, a middle-level data acquisition unit I is connected with the data acquisition unit I of at least one monitoring station I, a high-level data acquisition unit I is connected with at least one middle-level data acquisition unit I, and the high-level data acquisition unit I transmits acquired real-time data to a water supply sub-network database through a communication module I;
the system comprises a district flow detection piece and a district pressure detection piece in a district monitoring station, wherein the district flow detection piece and the district pressure detection piece are respectively connected with a district data collector;
the community flow detection part and the community pressure detection part in one community monitoring site are respectively connected with a community data collector, one community middle-level data collector is connected with at least one community data collector of the community monitoring site, one community high-level data collector is connected with at least one community middle-level data collector, and the community high-level data collector transmits collected real-time data to a community water supply sub-network database through a community communication module;
the user flow detection part and the user pressure detection part in one user monitoring station are respectively connected with a user data collector, one user middle-level data collector is connected with at least one user data collector of the user monitoring station, one user high-level data collector is at least connected with one user middle-level data collector, and the user high-level data collector transmits collected real-time data to a user water supply sub-network database through a user communication module.
4. The intelligent water service water supply network pipe burst analysis system of claim 3, wherein: the GIS water supply pipe network model is established in the following steps,
s3.1, establishing a GIS water supply sub-pipe network model;
s3.1.1, collecting data related to water supply sub-pipe network and establishing GIS water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of the whole water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes; the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure; the main water demand points comprise large-scale industrial water, residential groups and fire hydrants; the boundary node is a boundary node with known hydraulic gradient and comprises a water storage tank, a water tower and a pressure source; the virtual node comprises a water pump;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying age, buried depth, node type and pipeline connection mode;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening information and POI information;
s3.1.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
s3.1.3, calculating the regional water demand of the water supply sub-pipe network;
dividing a water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a water supply sub-pipeline network database to calculate regional water demand;
s3.1.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a water supply sub-pipeline network database and adopting a clean flow method or an average flow method at night;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water is the water demand minus the non-domestic water consumption and the non-metered water consumption;
s3.1.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a water supply sub-pipe network model;
s3.2, establishing a water supply sub-network model of the GIS district;
s3.2.1, collecting relevant data of the district water supply sub-pipe network and establishing a GIS district water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of a water supply sub-pipe network in the whole jurisdiction and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves;
the pipes are transporting water from one location (node) to the next;
the nodes comprise special nodes, boundary nodes and virtual nodes;
the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure;
the main water demand points comprise large-scale industrial water, residential groups and fire hydrants; the boundary node is a boundary node with known hydraulic gradient and comprises a water storage tank, a water tower and a pressure source;
the virtual node comprises a water pump, provides energy for the system, improves water pressure, and is considered as a node;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying age, buried depth, node type and pipeline connection mode;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening information and POI information;
s3.2.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
s3.2.3, calculating the regional water demand of the district water supply sub-pipe network;
dividing a district water supply sub-network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region and the water inflow of pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant inflow, boundary pipeline inflow and reservoir inflow from a district water supply sub-network database to calculate regional water demand;
s3.2.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a district water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database of the district; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water is the water demand minus the non-domestic water consumption and the non-metered water consumption;
s3.2.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a district water supply sub-pipe network model;
s3.3, establishing a GIS community water supply sub-pipe network model;
s3.3.1, collecting the relative data of community water supply sub-network and building GIS community water supply sub-network database;
collecting pipe network facility information and geographic information in the coverage area of the whole community water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves; the pipes are transporting water from one location (node) to the next; the nodes comprise special nodes, boundary nodes and virtual nodes; the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure; the main water demand points comprise large-scale industrial water, residential groups and fire hydrants; the boundary node is a boundary node with known hydraulic gradient and comprises a water storage tank, a water tower and a pressure source; the virtual node comprises a water pump;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying age, buried depth, node type and pipeline connection mode;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening information and POI information;
s3.3.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
s3.3.3, calculating the regional water demand of the community water supply sub-pipe network;
dividing a community water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of a reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a community water supply sub-network database to calculate regional water demand;
s3.3.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a community water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of water users, the meter reading mode and time are determined, and data are obtained from a community water supply sub-network database; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water is the water demand minus the non-domestic water consumption and the non-metered water consumption;
s3.3.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a community water supply sub-pipe network model;
s3.4, establishing a GIS user water supply sub-pipe network model;
s3.4.1, collecting the data related to the user water supply sub-pipe network and establishing a GIS user water supply sub-pipe network database;
collecting pipe network facility information and geographic information in the coverage area of the whole user water supply sub-pipe network and storing the information and the geographic information in a GIS database;
the pipe network facility comprises pipelines, nodes and valves; the pipes are transporting water from one location (node) to the next; the nodes comprise special nodes, boundary nodes and virtual nodes; the special nodes comprise pipeline intersections, main water demand points and key nodes needing to guarantee water pressure; the main water demand points comprise large-scale industrial water, residential groups and fire hydrants;
the boundary node is a boundary node with known hydraulic gradient and comprises a water storage tank, a water tower and a pressure source;
the virtual node comprises a water pump;
the pipe network facility information comprises pipe length, pipe diameter, pipes, laying age, buried depth, node type and pipeline connection mode;
the geographic information comprises geographic coordinates, road planning, road information, building information, river information, greening information and POI information;
s3.4.2, the model generator calls corresponding information from the GIS database to establish a pipe network model;
s3.4.3, calculating the regional water demand of the user water supply sub-pipe network;
dividing a user water supply sub-pipe network into a plurality of regions, wherein the water demand of each region is obtained by adding the water inflow of all water plants in the region to the water inflow of the pipelines on the boundary and then subtracting the water inflow of the reservoir;
calling corresponding water plant water inflow, boundary pipeline water inflow and reservoir water inflow from a user water supply sub-network database to calculate regional water demand;
s3.4.4, calculating area node flow;
each divided region is provided with a plurality of region nodes, and the flow rate of each region node corresponds to the water consumption of an actual user; the water consumption of the user is related to the type of the user; the user types comprise domestic water, non-domestic water and non-metering water;
the water consumption of the non-metering water is obtained by calling corresponding flow data from a user water supply sub-pipeline network database and adopting a clean flow method at night or an average flow method;
the water consumption of the non-domestic water is determined according to the average monthly water consumption range of the water users, the meter reading mode and time are determined, and data are obtained from a water supply sub-network database of the users; the non-civil water comprises large users, class B of one shift system, class C of two shift systems and class D of three shift systems;
the water consumption of the domestic water;
the non-domestic water consumption and the non-metered water consumption are deducted from the water demand;
s3.4.5, distributing the regional water demand and the regional node water consumption to the nodes of the pipe network model to obtain a user water supply sub-pipe network model;
s3.5, establishing a whole GIS water supply network model;
and fusing the GIS water supply sub-network model, the GIS district water supply sub-network model, the GIS community water supply sub-network model and the GIS user water supply sub-network model under the effect of the GIS network topology relationship to obtain the whole GIS water supply network model.
5. The intelligent water service water supply network pipe burst analysis system of claim 4, wherein: the tube explosion analysis module comprises the following analysis steps:
a, traversing pipe network nodes, and carrying out pressure analysis on real-time pressure data to judge whether pipe burst faults exist;
the pressure analysis mode adopts single-pressure analysis and single-point pressure drop analysis;
when single pressure analysis is adopted, pressure monitoring data of a certain monitoring point is taken, one same moment is selected to carry out repeated measurement comparison for multiple times at the same time, if the measurement data accord with normal distribution, the monitoring point is a normal point, otherwise, the monitoring point is a pipe explosion point;
when single-point pressure drop analysis is adopted, pressure monitoring data of a certain monitoring point is taken and combined with pressure drop data of the monitoring point within a period of time, and whether pipe explosion occurs at the monitoring point is judged;
b, determining the position of the pipe explosion according to the pipe explosion positioning neural network model;
b1.1, constructing an input layer;
the neuron of input layer is 3, and every neuron corresponds a monitoring site, and the variable of input layer is the pressure change rate of monitoring site when the pipe burst takes place, and the computational formula is:
ri=Pi−P′i；
in the formula: ri is the pressure change rate of the monitoring point i; pi is the pressure of a monitoring point i under the normal operation working condition; p' i is the pressure value of the monitoring point i in the case of a pipe explosion accident;
b1.2, constructing a hidden layer;
setting 1 hidden layer neuron;
b1.3, constructing an output layer;
the variable of the output layer is the distance d ' 1, d ' 2 and d ' 3 between the tube explosion point and the three pressure monitoring points of the input layer; the number of neurons in the output layer is 1, and the output value is d' i;
and B1.4, combining the steps B1.1-B1.3 to obtain a burst positioning neural network model:
d′i=f(r1,r2,r3) i=1,2,3。
6. the intelligent water service water supply network pipe burst analysis system of claim 1, wherein: the system also comprises a hydraulic simulation module, and the hydraulic simulation module is used for calling real-time detection data from the water supply sub-pipe network explosion database, the district water supply sub-pipe network explosion database, the community water supply sub-pipe network explosion database and the user water supply sub-pipe network explosion database and running on the GIS water supply pipe network model to obtain the pressure and the instantaneous flow of each pipe network node or tip pipe point of the current water supply pipe network and the real-time water flow direction of each pipe section.
7. The intelligent water service water supply network pipe burst analysis system of claim 1, wherein: the system comprises a pipe explosion emergency scheme analysis module, a water supply management module and a water supply management module, wherein the pipe explosion emergency scheme analysis module comprises a valve closing scheme generation submodule, a temporary database, a valve closing scheme database, a valve closing analysis submodule and a water supply stopping analysis submodule;
the valve closing scheme generation submodule is used for calling corresponding pipe explosion fault information from a water supply sub-pipe network pipe explosion database or a district water supply sub-pipe network pipe explosion database or a community water supply sub-pipe network pipe explosion database or a user water supply sub-pipe network pipe explosion database and analyzing the corresponding pipe explosion fault information to generate a preliminary valve closing scheme, and the preliminary valve closing scheme is stored in a temporary database;
the valve closing analysis submodule is used for calling a preliminary valve closing scheme from the temporary database and running on the GIS water supply pipe network model, and if the preliminary valve closing scheme is normal, the preliminary valve closing scheme corresponding to the current pipe explosion accident is stored in the valve closing scheme database; if the primary valve closing scheme has valve failure, transmitting failure valve information to a valve closing scheme generation submodule, generating a secondary valve closing scheme by the valve closing scheme generation submodule, and storing the secondary valve closing scheme into a valve closing scheme database;
and the water cut-off analysis submodule calls a valve closing scheme from the valve closing scheme database, operates on the GIS water supply network model, obtains water cut-off area information corresponding to the valve closing scheme and displays the water cut-off area information on the GIS water supply network model.
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