CN108009942B - Topological structure connectivity checking and correcting method in water supply network hydraulic model building process - Google Patents

Topological structure connectivity checking and correcting method in water supply network hydraulic model building process Download PDF

Info

Publication number
CN108009942B
CN108009942B CN201711229989.3A CN201711229989A CN108009942B CN 108009942 B CN108009942 B CN 108009942B CN 201711229989 A CN201711229989 A CN 201711229989A CN 108009942 B CN108009942 B CN 108009942B
Authority
CN
China
Prior art keywords
node
pipe
nodes
pipe section
distance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201711229989.3A
Other languages
Chinese (zh)
Other versions
CN108009942A (en
Inventor
吴珊
寇晓霞
侯本伟
宋凌硕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing University of Technology
Original Assignee
Beijing University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing University of Technology filed Critical Beijing University of Technology
Priority to CN201711229989.3A priority Critical patent/CN108009942B/en
Publication of CN108009942A publication Critical patent/CN108009942A/en
Application granted granted Critical
Publication of CN108009942B publication Critical patent/CN108009942B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Geometry (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • General Health & Medical Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • Public Health (AREA)
  • Computer Hardware Design (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Evolutionary Computation (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A topological structure connectivity checking and correcting method in a water supply network hydraulic model building process belongs to the technical field of municipal engineering pipe network information. The method comprises the steps of automatically creating a pipe network topological structure by utilizing a GIS layer of a water supply pipeline, deleting isolated pipe sections and nodes, and then carrying out batch inspection and correction modification on the connectivity of the pipe network topological structure according to the connection relation of adjacent node pairs in the topological structure and the connection relation of the nodes and the pipe sections. Firstly, calculating the distance between node pairs according to node information derived from a water supply model, and screening out adjacent node pairs with abnormal distances; then, checking the pipe section connection condition between the node pairs with abnormal distances; and finally, correcting the topological structure of the distance abnormal node pair without the connected pipe sections. The method for checking and correcting the connectivity of the topological structure, provided by the invention, is quick and accurate, can be operated in batch mode, and has important significance for the construction of a water supply network.

Description

Topological structure connectivity checking and correcting method in water supply network hydraulic model building process
Technical Field
The invention relates to a method for carrying out batch inspection and correction modification on the connectivity of a pipe network topological structure automatically created by a pipeline GIS layer facing to the construction requirement of a city water supply pipe network hydraulic model, and belongs to the technical field of municipal engineering pipe network information.
Background
The establishment of the water supply network hydraulic model is an important link for informatization of a water supply operation system, and provides a theoretical basis for planning, operation management and optimal scheduling of the urban water supply network. In order to ensure the accuracy of the established hydraulic model, the topological structure of the hydraulic model of the water supply network needs to be checked and modified.
The water supply network is a network system with a complex topological structure and a large scale. The correctness of the pipe network topological structure directly influences the accuracy of the simulation of the pipe network hydraulic model, and because the topological structure of the model has errors due to the loss or errors of some basic information, negligence of information input work and the problem of the conversion process from the pipeline GIS layer to the pipe network topological structure, the connectivity of the pipe network model needs to be checked and modified.
Disclosure of Invention
The invention aims at the problems and designs a method for carrying out batch inspection and correction modification on the connectivity of a topological structure in the process of constructing a hydraulic model of a water supply network.
The technical scheme is as follows: the invention discloses a method for checking and correcting the connectivity of a topological structure of a water supply network hydraulic model, which comprises the following steps:
(1) calculating the distance between node pairs in the water supply network hydraulic model
Firstly, node and pipe section information in a water supply pipe network model is derived: node label ID _ node, node coordinates (X, Y), pipe section label ID _ pipe, pipe section upstream and downstream node labels; circularly calculating the geometric distance d between all the node pairs through the model node coordinates (X, Y);
(2) finding pairs of neighboring nodes with abnormal distances
Setting a discrimination threshold f for abnormal node pair distance, and checking whether the distance d between all node pairs is smaller than the discrimination threshold f; if d is less than or equal to f, marking the node pair as a distance abnormal node pair; if the distance abnormal node pair exists, recording node numbers of the distance abnormal node pair as ID _ node _1 and ID _ node _2, marking the node numbers as distance abnormal nodes, and performing the step (3); otherwise, turning to the step (6);
(3) judging whether there is a directly connected pipe section between the distance abnormal node pairs
Searching pipe sections containing a node number ID _ node _1 in the node labels of the upstream and downstream in all pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 1; searching the other end points of the pipe sections in a pipe section set ID _ pipe _1, wherein the set is marked as ID _ node _ 1;
judging whether the ID _ node _1 set contains a node number ID _ node _2 or not; if yes, directly connected pipe sections exist between the distance abnormal node pairs (ID _ node _1 and ID _ node _2), topological connectivity is normal, and the step (6) is carried out; if not, the distance abnormal node pair (ID _ node _1, ID _ node _2) does not have directly connected pipe sections, and the step (4) is carried out;
(4) judging whether there is indirectly connected pipe section between distance abnormal node pairs
4.1 setting parameters for Indirect connected examination
Searching pipe sections containing a node number ID _ node _1 in the node labels of the upstream and downstream in all pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 1; searching the other end points of the pipe sections in a pipe section set ID _ pipe _1, wherein the set is marked as ID _ node _ 1;
according to a judgment threshold f of distance abnormality and the actual condition of a pipe network, setting a judgment series n of indirectly-connected pipe sections, wherein the indirect connection inspection is a cyclic inspection process, the cycle number is the judgment series n, the judgment series n represents that whether adjacent node pairs are indirectly connected through n nodes and corresponding pipe sections or not, the series i (i is 1-n) represents the series being executed in the cyclic inspection process, the cycle of the next stage i +1 is performed, and the result of the previous stage i is taken as a condition, namely, the node set ID _ node _2 of the previous stage i is recorded as ID _ node _2_ S again; searching pipe sections containing nodes in a node set ID _ node _2_ S in the labels of upstream and downstream nodes in all pipe section information of the pipe network model in the next-stage circulation process, and recording the pipe section set as ID _ pipe _2_ S; in the pipe segment set ID _ pipe _2_ S, searching another endpoint set of the pipe segments and marking as ID _ node _2 again; setting the initial value of the inspection stage number i as 1;
4.2 query set of neighboring nodes from abnormal nodes
If i is 1, searching pipe sections with node numbers ID _ node _2 in the node labels of the upstream and downstream in all the pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 2; in the pipe segment set ID _ pipe _2, searching another end point set of the pipe segments as ID _ node _ 2;
if i is greater than 1, recording the node set ID _ node _2 of the previous stage cycle as ID _ node _2_ S again; searching pipe sections containing nodes in a node set ID _ node _2_ S in the labels of upstream and downstream nodes in all pipe section information of the pipe network model in the next-stage circulation process, and recording the pipe section set as ID _ pipe _2_ S; in the pipe segment set ID _ pipe _2_ S, searching another endpoint set of the pipe segments and marking as ID _ node _2 again;
4.3 judging whether an ith stage of indirectly connected pipe section exists between the distance abnormal node pairs;
judging whether the sets ID _ node _1 and ID _ node _2 have the same node, if so, the adjacent node pairs (ID _ node _1 and ID _ node _2) have the pipe sections which are indirectly connected between the ith stage, and the topology connectivity is normal, and turning to the step (6); if not, the adjacent node pair (ID _ node _1, ID _ node _2) has no pipe section which is indirectly connected with the ith stage, and the next stage of circulation is continued;
if i is not more than n, repeating the steps 4.2-4.3; if i is larger than n, performing the step (5);
(5) topology correction without pairs of connected pipe segment nodes
For the node pairs (ID _ node _1 and ID _ node _2), if no directly or indirectly connected pipe sections exist, the node pairs are called as unconnected pipe section node pairs; judging whether the number of pipe sections in the sets ID _ pipe _1 and ID _ pipe _2 is 1, if so, the relation between adjacent pipe sections of the nodes ID _ node _1 and ID _ node _2 is simple, batch modification can be carried out after sampling rechecking, one pipe section is added to connect the nodes ID _ node _1 and ID _ node _2, and the added connecting pipe section attribute information sets reference ID _ pipe _1 or ID _ pipe _2 pipe section information; if not, the adjacent pipe sections of the nodes ID _ node _1 and ID _ node _2 are complex in relation, and need to be corrected after manual review according to actual archive data, and then step 6 is performed;
(6) and finishing the connectivity check and correction.
After the operation steps, the batch inspection and correction modification of the connectivity of the topological structure in the process of constructing the hydraulic model of the water supply network are realized, manual reexamination of partial topological structure is carried out in a targeted manner, and the accuracy of the topological structure in hydraulic modeling of the water supply network is improved.
And f and n can be valued according to the actual condition of the area of the established waterpipe network hydraulic model.
The method for checking and correcting the connectivity of the topological structure, provided by the invention, is quick and accurate, can be operated in batch mode, and has important significance for the construction of a water supply network.
Drawings
FIG. 1 is a technical route of a topological structure connectivity checking and correcting method in a water supply network hydraulic model building process according to the invention;
FIG. 2 is a detailed flow of the topology connectivity checking and correcting method in the water supply network hydraulic model building process according to the present invention;
wherein ID _ node is a node label, X and Y are node coordinates, ID _ pipe is a pipe section label, f is a discrimination threshold value for node pair distance abnormality, and n is an indirectly connected pipe section discrimination series; the current inspection stage number i and d are geometric distances between node pairs, ID _ node _1 and ID _ node _2 are distance abnormal node pair labels, ID _ pipe segment set with ID _ node _1 in the node labels of upstream or downstream, ID _ node _1 is the other end point set of pipe segment set ID _ pipe segment _1, ID _ pipe segment set with ID _ node _2 in the node labels of upstream or downstream, ID _ node _2 is the other end point set of pipe segment set ID _ pipe segment _2, and ID _ node _2_ S and ID _ pipe segment set ID _ pipe segment _2_ S are nodes and pipe segment sets in the indirect connection inspection process.
FIG. 3 is a schematic diagram of a distance anomaly node with no connected segments and simple relationship of adjacent segments;
FIG. 4 is a schematic diagram of a distance anomaly node with no connected segments and simple relationship of adjacent segments;
FIG. 5 is a schematic diagram of distance anomaly nodes with no connected pipe sections and complex relationships between adjacent pipe sections;
FIG. 6 is a schematic diagram of distance anomaly nodes with no connected pipe sections and complex relationships between adjacent pipe sections;
FIG. 7 is a schematic diagram of distance anomaly node pairs with directly connected pipe sections
FIG. 8 is a schematic diagram of distance anomaly nodes with directly connected pipe segments;
FIG. 9 is a schematic diagram of distance anomaly nodes with indirectly connected pipe segments;
FIG. 10 is a schematic diagram of distance anomaly nodes with indirectly connected pipe segments.
Detailed Description
The present invention will be further illustrated with reference to the following examples, but the present invention is not limited to the following examples.
Example 1
Referring to fig. 1 and fig. 2, in an embodiment of the method for checking and correcting the connectivity of the topological structure in the process of building the hydraulic model of the water supply network, the specific steps are as follows:
1. and calculating the node pair distance in the water supply network hydraulic model.
Firstly, node and pipe section information in a water supply pipe network model is derived: node label ID _ node, node coordinates (X, Y), pipe section label ID _ pipe, pipe section upstream and downstream node labels. And circularly calculating the geometric distance d between all the node pairs through the model node coordinates (X, Y).
2. Finding neighboring node pairs with abnormal distances.
Setting a discrimination threshold f of the node pair distance abnormity to be 0.5m, and checking whether the distance d between all node pairs is smaller than the discrimination threshold f; if d is less than or equal to f, the node pair is marked as a distance abnormal node pair. If the distance abnormal node pair exists, recording node numbers ID _ node _1 and ID _ node _2 of the distance abnormal node pair, marking the node numbers as distance abnormal nodes, and performing step 3; otherwise, go to step 6.
3. And judging whether a directly connected pipe section exists between the distance abnormal node pairs.
Searching pipe sections containing a node number ID _ node _1 in the node labels of the upstream and downstream in all pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 1; in the pipe segment set ID _ pipe _1, the set ID _ node _1 of the other end points of the pipe segments is found.
Judging whether the ID _ node _1 set contains a node number ID _ node _2 or not; if yes, directly connected pipe sections exist between the distance abnormal node pairs (ID _ node _1 and ID _ node _2), topological connectivity is normal, and the step 6 is carried out; if not, the distance abnormal node pair (ID _ node _1 and ID _ node _2) does not have directly connected pipe sections, and the step 4 is carried out.
4. And judging whether an indirectly connected pipe section exists between the distance abnormal node pairs.
4.1 set the number of levels of indirect continuity check.
And setting the number n of the discrimination stages of the indirectly connected pipe sections to be 2 according to the discrimination threshold f of the distance abnormality to be 0.5m and the actual condition of the pipe network, and setting the initial value of the current inspection stage number i to be 1.
4.2 query set of adjacent nodes from the abnormal node.
If i is less than or equal to 1, searching pipe sections with node numbers ID _ node _2 in the node labels of the upstream and downstream in all pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 2; in the pipe segment set ID _ pipe _2, the other end point set ID _ node _2 of these pipe segments is found.
If i is greater than 1, recording the previous cycle node set ID _ node _2 as ID _ node _2_ S again; searching pipe sections containing nodes in a node set ID _ node _2_ S in the labels of upstream and downstream nodes in all pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _2_ S; in the pipe segment set ID _ pipe _2_ S, the other end point set for finding these pipe segments is again denoted as ID _ node _ 2.
4.3 judging whether the ith stage is connected with the pipe section between the distance abnormal node pairs.
Judging whether the sets ID _ node _1 and ID _ node _2 have the same node, if so, the adjacent node pairs (ID _ node _1 and ID _ node _2) have the pipe sections which are indirectly connected between the ith stage, and the topology connectivity is normal, and turning to the step 6; if not, the adjacent node pair (ID _ node _1, ID _ node _2) has no pipe section which is indirectly connected between the ith level. If i is equal to i +1 and is not more than n, repeating the steps 4.2-4.3; if i > n, go to step 5.
5. And correcting the topological structure of the node pair without the connected pipe sections.
For the node pairs (ID _ node _1 and ID _ node _2), if no pipe sections are directly or indirectly connected, the node pairs are called connectionless pipe section node pairs. Judging whether the number of pipe sections in the sets ID _ pipe _1 and ID _ pipe _2 is 1, if so, the relation between adjacent pipe sections of the nodes ID _ node _1 and ID _ node _2 is simple, batch modification can be carried out after sampling rechecking, one pipe section is added to connect the nodes ID _ node _1 and ID _ node _2, and the added connecting pipe section attribute information sets reference ID _ pipe _1 or ID _ pipe _2 pipe section information; if not, the adjacent pipe sections of the nodes ID _ node _1 and ID _ node _2 are complex, and the correction is carried out after manual review according to actual archival data, and then step 6 is carried out.
6. And finishing the connectivity check and correction.
And f and n are valued according to the actual condition of the area of the established waterpipe network hydraulic model.

Claims (2)

1. A topological structure connectivity checking and correcting method in a water supply network hydraulic model building process is characterized by comprising the following steps:
(1) calculating the distance between node pairs in the water supply network hydraulic model
Firstly, node and pipe section information in a water supply pipe network model is derived: node label ID _ node, node coordinates (X, Y), pipe section label ID _ pipe, pipe section upstream and downstream node labels; circularly calculating the geometric distance d between all the node pairs through the model node coordinates (X, Y);
(2) finding pairs of neighboring nodes with abnormal distances
Setting a discrimination threshold f for abnormal node pair distance, and checking whether the distance d between all node pairs is less than or equal to the discrimination threshold f; if d is less than or equal to f, marking the node pair as a distance abnormal node pair; if the distance abnormal node pair exists, recording node numbers of the distance abnormal node pair as ID _ node _1 and ID _ node _2, marking the node numbers as distance abnormal nodes, and performing the step (3); otherwise, turning to the step (6);
(3) judging whether there is a directly connected pipe section between the distance abnormal node pairs
Searching pipe sections containing a node number ID _ node _1 in the node labels of the upstream and downstream in all pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 1; searching the other end points of the pipe sections in a pipe section set ID _ pipe _1, wherein the set is marked as ID _ node _ 1;
judging whether the ID _ node _1 set contains a node number ID _ node _2 or not; if yes, directly connected pipe sections exist between the distance abnormal node pairs (ID _ node _1 and ID _ node _2), topological connectivity is normal, and the step (6) is carried out; if not, the distance abnormal node pair (ID _ node _1, ID _ node _2) does not have directly connected pipe sections, and the step (4) is carried out;
(4) judging whether there is indirectly connected pipe section between distance abnormal node pairs
4.1 setting parameters for Indirect connected examination
Searching pipe sections containing a node number ID _ node _1 in the node labels of the upstream and downstream in all pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 1; searching the other end points of the pipe sections in a pipe section set ID _ pipe _1, wherein the set is marked as ID _ node _ 1;
according to a judgment threshold f of the distance abnormality and the actual condition of a pipe network, setting a judgment series n of indirectly-connected pipe sections, wherein the indirect connection inspection is a cyclic inspection process, the cycle number is the judgment series n, the judgment series n represents that whether adjacent node pairs are indirectly connected through n nodes and corresponding pipe sections, the series i (i = 1-n) represents the series being executed in the cyclic inspection process, the cycle of the next stage i +1 takes the result of the previous stage i as a condition, namely, the node set ID _ node _2 of the previous stage i is recorded as ID _ node _2_ S again; searching pipe sections containing nodes in a node set ID _ node _2_ S in the labels of upstream and downstream nodes in all pipe section information of the pipe network model in the next-stage circulation process, and recording the pipe section set as ID _ pipe _2_ S; in the pipe segment set ID _ pipe _2_ S, searching another endpoint set of the pipe segments and marking as ID _ node _2 again; setting the initial value of the inspection stage number i as 1;
4.2 query set of neighboring nodes from abnormal nodes
If i =1, searching pipe sections containing node numbers ID _ node _2 in the node labels of the upstream and downstream nodes in all the pipe section information of the pipe network model, and recording the pipe section set as ID _ pipe _ 2; in the pipe segment set ID _ pipe _2, searching another end point set of the pipe segments as ID _ node _ 2;
if i is greater than 1, recording the node set ID _ node _2 of the previous stage cycle as ID _ node _2_ S again; searching pipe sections containing nodes in a node set ID _ node _2_ S in the labels of upstream and downstream nodes in all pipe section information of the pipe network model in the next-stage circulation process, and recording the pipe section set as ID _ pipe _2_ S; in the pipe segment set ID _ pipe _2_ S, searching another endpoint set of the pipe segments and marking as ID _ node _2 again;
4.3 judging whether an ith stage of indirectly connected pipe section exists between the distance abnormal node pairs;
judging whether the sets ID _ node _1 and ID _ node _2 have the same node, if so, the adjacent node pairs (ID _ node _1 and ID _ node _2) have the pipe sections which are indirectly connected between the ith stage, and the topology connectivity is normal, and turning to the step (6); if not, the adjacent node pair (ID _ node _1, ID _ node _2) has no pipe section which is indirectly connected with the ith stage, and the next stage of circulation is continued;
enabling i = i +1 again, and if i is less than or equal to n, repeating the steps 4.1-4.3; if i is larger than n, performing the step (5);
(5) topology correction without pairs of connected pipe segment nodes
For the node pairs (ID _ node _1 and ID _ node _2), if no directly or indirectly connected pipe sections exist, the node pairs are called as unconnected pipe section node pairs; judging whether the number of pipe sections in the sets ID _ pipe _1 and ID _ pipe _2 is 1, if so, the relation between adjacent pipe sections of the nodes ID _ node _1 and ID _ node _2 is simple, batch modification can be carried out after sampling rechecking, one pipe section is added to connect the nodes ID _ node _1 and ID _ node _2, and the added connecting pipe section attribute information sets reference ID _ pipe _1 or ID _ pipe _2 pipe section information; if not, the adjacent pipe sections of the nodes ID _ node _1 and ID _ node _2 are complex in relation, and need to be corrected after manual review according to actual archive data, and then step 6 is performed;
(6) and finishing the connectivity check and correction.
2. The method for checking and correcting the connectivity of the topological structure in the process of constructing the hydraulic model of the water supply network according to claim 1, wherein f and n are valued according to the actual conditions of the area of the established hydraulic model of the water supply network.
CN201711229989.3A 2017-11-29 2017-11-29 Topological structure connectivity checking and correcting method in water supply network hydraulic model building process Active CN108009942B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711229989.3A CN108009942B (en) 2017-11-29 2017-11-29 Topological structure connectivity checking and correcting method in water supply network hydraulic model building process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711229989.3A CN108009942B (en) 2017-11-29 2017-11-29 Topological structure connectivity checking and correcting method in water supply network hydraulic model building process

Publications (2)

Publication Number Publication Date
CN108009942A CN108009942A (en) 2018-05-08
CN108009942B true CN108009942B (en) 2021-12-10

Family

ID=62054851

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711229989.3A Active CN108009942B (en) 2017-11-29 2017-11-29 Topological structure connectivity checking and correcting method in water supply network hydraulic model building process

Country Status (1)

Country Link
CN (1) CN108009942B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109299526B (en) * 2018-09-07 2023-06-02 武汉众智鸿图科技有限公司 Hydraulic model generation method and system based on water supply network GIS database
CN112131690B (en) * 2020-08-20 2022-11-04 同济大学 Method for detecting and repairing drainage pipe network GIS abnormal data

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136410A (en) * 2011-11-29 2013-06-05 张智灵 Solution method of stem and branch pipe network layout optimization model
US9924242B2 (en) * 2012-04-20 2018-03-20 Itron Global Sarl Automatic network topology detection and fraud detection
CN103927417B (en) * 2014-04-11 2017-02-01 北京工业大学 Hydraulic model building demands based digital processing method for drainage pipeline network
CN105389666B (en) * 2015-12-01 2017-06-06 江苏省电力公司苏州供电公司 Distribution network model topology connectivity method of calibration
CN107038287B (en) * 2017-03-22 2021-01-19 广东爱科环境科技有限公司 Model analysis method and medium for checking topological structure relationship of drainage pipe network

Also Published As

Publication number Publication date
CN108009942A (en) 2018-05-08

Similar Documents

Publication Publication Date Title
CN109474023B (en) Intelligent power distribution network section real-time updating method and system, storage medium and terminal
CN108009942B (en) Topological structure connectivity checking and correcting method in water supply network hydraulic model building process
CN109918819B (en) Bayesian network-based large-scale bridge network evaluation method
CN112712441B (en) Automatic carding method for topological relation of urban' network river
CN109902138A (en) The one-dimensional hydrodynamic force analog basis data topology relationship building in city and coding method based on GIS
CN110867906A (en) Power grid topological relation identification method based on power balance index
CN105468869A (en) Topological relation analysis method of PDS (Plant Design System) model
CN116708514B (en) Electric energy meter data acquisition method and system based on Internet of things
CN115825656B (en) Fault monitoring method, device and system for power distribution network of new energy photovoltaic power station
CN116305418A (en) Method for converting grid structure BIM model and point cloud model into finite element model
CN115879271A (en) Power grid cut set type key power transmission section searching method based on cut set section tree
CN114169580B (en) Traffic equal-time-circle calculation method for regional hub
CN105373446A (en) Automatic demonstration based system automatic repair method and apparatus
CN113886999B (en) Method for quickly establishing drainage model and GIS (geographic information System) data through CAD (computer aided design) data
CN116090048A (en) Dynamo-based pipe gallery tunnel engineering equipment layout modeling method
CN111860885B (en) Method for identifying process route abnormality
CN109685453B (en) Method for intelligently identifying effective paths of workflow
CN110058971B (en) Intelligent repair method for SCADA data loss of wind power plant
CN113886396A (en) Power system fault detection method and system based on high-utility frequent pattern mining
CN117290798B (en) Method, system and chip for overhauling abnormal data in topology data of gas pipe network
CN108280177B (en) Elevation inspection and abnormity correction method for water supply network hydraulic model node
CN110795810A (en) Online hydraulic model generation method
CN110070132A (en) The correction-compensation method of wind power plant SCADA system missing data reparation result
CN116561942B (en) Method and device for correcting topology data of urban drainage system
CN112199629B (en) Optimal arrangement method for fault indicators

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant