CN112231868A - Spraying pipe network and layout optimization method thereof - Google Patents
Spraying pipe network and layout optimization method thereof Download PDFInfo
- Publication number
- CN112231868A CN112231868A CN202010944974.0A CN202010944974A CN112231868A CN 112231868 A CN112231868 A CN 112231868A CN 202010944974 A CN202010944974 A CN 202010944974A CN 112231868 A CN112231868 A CN 112231868A
- Authority
- CN
- China
- Prior art keywords
- pipe network
- layout
- spray
- pipe
- water
- 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.)
- Pending
Links
- 238000005507 spraying Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000005457 optimization Methods 0.000 title claims abstract description 21
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 52
- 238000004364 calculation method Methods 0.000 claims abstract description 29
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 238000004519 manufacturing process Methods 0.000 claims abstract description 7
- 230000009471 action Effects 0.000 claims abstract description 6
- 238000007689 inspection Methods 0.000 claims abstract description 4
- 239000007921 spray Substances 0.000 claims description 52
- 238000013461 design Methods 0.000 claims description 16
- 238000009826 distribution Methods 0.000 claims description 7
- 238000009792 diffusion process Methods 0.000 claims description 6
- 230000002349 favourable effect Effects 0.000 claims description 3
- 238000011160 research Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computational Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Algebra (AREA)
- Computing Systems (AREA)
- Fluid Mechanics (AREA)
- Mathematical Physics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a spraying pipe network and a layout optimization method thereof, and belongs to the field of fire safety of urban water supply pipe networks. The method comprises the following steps: determining a layout object, a constraint condition and an evaluation standard; performing hydraulic calculation on the automatic water spraying fire extinguishing system pipe network by using pipe network hydraulic calculation software EPANET; calling an EPANET programmer tool box program in the MATLAB to optimize the spraying pipe network; and carrying out constraint condition inspection and layout adjustment on the layout optimization scheme obtained by solving to obtain a final layout scheme. The invention can intelligently optimize the layout, greatly improve the working efficiency and reduce the manufacturing cost as much as possible under the condition that the water spraying strength in the action area meets the requirement.
Description
Technical Field
The invention belongs to the field of fire safety, and particularly relates to a spraying pipe network and a layout optimization method thereof.
Background
The automatic water spraying fire extinguishing system fully utilizes water to extinguish fire, and has high fire extinguishing performance. With the enhancement of economic strength, soundness of legal method and continuous and deep research on water-spraying fire-extinguishing mechanism, the automatic water-spraying fire-extinguishing system will occupy a position with a light weight in the fire-fighting system of China.
The design of the spraying system, the determination of the danger level, the calculation of the design flow, the selection and the arrangement of the spray heads, the selection and the arrangement of other system components, the arrangement of the water distribution pipes, the determination of the pipe diameters and the like are indispensable steps. Wherein, the arrangement form of pipe network is crucial, and the reason is that spraying system's pipe network arrangement form can influence the pipe diameter, and the two can influence the water conservancy calculation of pipeline to influence the design flow of entire system, water pump lift, water spray intensity in the area of action, fire extinguishing effect, still influence entire system's cost simultaneously. The optimal design of the pipeline layout refers to that in a given layout space, the arrangement of the pipelines is reasonably arranged to meet necessary constraint conditions, so that certain optimal indexes are achieved. The reasonable layout design of the pipeline is beneficial to the installation, operation and maintenance of the pipeline, so that under the condition of reaching the optimal index, the material is saved most, the manufacturing cost is lowest, and further, how to perform layout optimization from the technical perspective is worthy of research.
Disclosure of Invention
In order to solve the technical problems, the invention provides a spraying pipe network and a layout optimization method thereof.
The EPANET software is mainly applied to hydraulic analysis of a pressure pipe network, and can be used for modeling, calculating and running an unreduced pipe network under a Windows system, so that the operation is simple, and the interface is clear. And current research proves that the software is accurate and applicable in the hydraulic calculation of the water distribution network of the spraying system. The calculations performed with this software are reasonably efficient. MATLAB is a numerical calculation software introduced by MathWorks corporation, and comprises toolboxes in various fields of professional design and scientific research. MATLAB can realize the data transmission between the platforms fast, consequently uses MATLAB to call EPANET can realize the optimization of spraying pipe network fast.
In order to achieve the purpose, the invention is completed by the following technical scheme:
a spray pipe network layout optimization method is characterized by comprising the following steps: the method comprises the following steps:
And 2, defining the spray head in the spray system as a nozzle in the software, wherein the specific method is to connect a flow calculation formula of the spray head with a nozzle water yield calculation formula in the software to ensure that the flow calculation formula is equal to the nozzle water yield calculation formula in the software.
And 3, defining the pipe diameter and pipe length information of each pipe section in the spraying system and the pressure of the initial point of the water distribution network, and further establishing a hydraulic model for calculation.
And 4, optimizing the spraying pipe network in the MATLAB, and carrying out constraint condition inspection and layout adjustment on the layout optimization scheme obtained by solving to obtain a final layout scheme, so that the water spraying strength meets the requirement and the manufacturing cost is lowest.
Further, step (1) is preceded by: analyzing the layout object, and determining the layout object, constraint conditions and evaluation criteria; the constraint condition is that the water spraying strength meets the requirement, and the evaluation standard is that the manufacturing cost is lowest.
Further, the step (2) is performed as follows:
the relationship between the discharge rate and the pressure of the nozzle in the EPANET is shown as the following formula (1):
q＝Cpγ (1)
in the formula: q-nozzle outlet flow, L/s; c-diffusion coefficient; p-nozzle operating pressure, mH2O; -coefficient of pressure;
the flow formula of the spray head is shown as formula (2):
in the formula: k-the flow coefficient of the spray head;
the combined type (1) and the formula (2) obtain:
further, in the step (3), the following steps are specifically performed:
step 3.1: defining the pipe length and pipe diameter information of each pipe section in the EPANET, and converting the local head loss into the pipe length;
step 3.2: calculating the diffusion coefficient C of the selected spray head in the EPANET according to the formula (3), defining the node in the action area of the system as a nozzle, and defining the other nodes as common water consumption nodes and the basic water demand of each node as 0;
step 3.3: selecting the inlet pressure of the starting end of the pipe network to perform primary hydraulic calculation, checking the water spray intensity in the area enclosed by the spray heads at the least favorable positions, if the water spray intensity is equal to or slightly greater than the specification, the flow of the pipe section at the starting end of the pipe network is the design flow, and otherwise, adjusting the inlet pressure of the starting end of the pipe network;
step 3.4: calculating the loss of the system vertical pipe along the way and the local head according to the design flow obtained in the step 3.3, wherein the water supply pressure at the inlet of the spraying system or the required pump lift is as follows:
H＝∑h+P0+Z；
wherein, P0The pressure of the inlet of the pipe network at the worst layer is obtained, Σ h is the accumulated value of the local head loss along the way of the system vertical pipe, and Z is the lowest water level height difference between the inlet of the pipe network at the worst layer and the fire pool.
Further, in step 3.3, the inlet pressure is 0.2-0.4 MPa.
Further, the step (4) is specifically performed as follows:
step 4.1: calling an EPANET programmer's kit in MATLAB, running the hydraulic model.
Step 4.2: and acquiring the working pressure of each node and the outflow of the spray head.
Step 4.3: checking the water spray intensity in the enclosed area of 4 nozzles at least in favor, if the water spray intensity is equal to or slightly greater than the specification, the flow of the pipe section at the starting end of the pipe network is the design flow, otherwise, adjusting the inlet pressure at the starting end of the pipe network.
Step 4.4: and calculating the cost by adopting a pricing mode of a project amount list according to pipelines used by the spraying pipe network.
Step 4.5: adjusting the layout of the spraying pipe network, and repeating the steps 4.1-4.4.
The invention also relates to a spraying pipe network based on the layout of the optimization method.
Compared with the prior art, the invention has the following beneficial effects:
the method is realized by simulating the spray head by using the nozzle in the EPANET software, and the method for establishing the hydraulic model for the spraying system to perform hydraulic calculation is reasonable, efficient, scientific and rigorous. The hydraulic calculation of the spraying system is complex, and particularly, the calculation amount is large for the annular pipe network. If the manual calculation is adopted, the time consumption is long, the error is large, and the EPANET computer software is adopted to establish the hydraulic model to carry out the hydraulic calculation on the spraying system, so that the efficiency can be improved, and the method is a mode which can be widely popularized.
The invention calls EPANET programmer toolbox programming in MATLAB, the algorithm is completed based on the built-in function of EPANET software, and the pipe network system file is not required to be modified or extra codes are not required to be written to solve the pipe network hydraulic equation, thus having the advantages of high calculation efficiency and good stability.
Drawings
FIG. 1 is a process flow diagram of the method of the present invention;
FIG. 2 is a diagram of the optimal layout result according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples without making any creative effort, shall fall within the protection scope of the present invention.
Unless otherwise defined, technical or scientific terms used in the embodiments of the present application should have the ordinary meaning as understood by those having ordinary skill in the art. The use of "first," "second," and similar terms in the present embodiments does not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. "mounted," "connected," and "coupled" are to be construed broadly and may, for example, be fixedly coupled, detachably coupled, or integrally coupled; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. "Upper," "lower," "left," "right," "lateral," "vertical," and the like are used solely in relation to the orientation of the components in the figures, and these directional terms are relative terms that are used for descriptive and clarity purposes and that can vary accordingly depending on the orientation in which the components in the figures are placed.
As shown in fig. 1, in the spray pipe network layout optimization method based on intelligent optimization according to the embodiment, firstly, a layout object is analyzed, and the layout object, constraint conditions and evaluation criteria are determined; the constraint condition is that the water spray intensity meets the requirement, the evaluation standard is that the manufacturing cost is lowest, and the method comprises the following steps:
step 1: and drawing a pipe network layout plan of the worst layer in the spraying system in the CAD, and introducing the pipe network layout plan into the EPANET by using Dxf2epa software.
Step 2: the method is characterized in that a flow calculation formula of the spray head and a nozzle water yield calculation formula in the software are combined to be equal, and the method is specifically carried out as follows:
step 2.1: the relationship between the discharge rate and the pressure of the nozzle in the EPANET is shown as the following formula (1):
q＝Cpγ (1)；
in the formula: q-nozzle outlet flow, L/s; c-diffusion coefficient; p-nozzle operating pressure, mH2O; r-coefficient of pressure;
the flow formula of the spray head is shown as formula (2):
in the formula: k-the flow coefficient of the spray head;
combined vertical type (1) and formula (2) to obtain
And step 3: the method comprises the following steps of defining the pipe diameter and pipe length information of each pipe section in a spraying system and the pressure of an initial point of a water distribution network, and further establishing a perfect hydraulic model for calculation:
step 3.1: the information of the pipe length and the pipe diameter of each pipe section is defined in EPANET, and the local head loss can be converted into the pipe length according to the annex C of a spray gauge.
Step 3.2: and (4) calculating the diffusion coefficient C of the selected spray head in the EPANET according to the formula (3), defining the node in the action area of the system as a nozzle, and defining the other nodes as common water consumption nodes and the basic water demand of each node as 0.
Step 3.3: and (3) selecting the inlet pressure (0.2-0.4 MPa) of the starting end of the pipe network to perform primary hydraulic calculation, checking the water spray intensity in the enclosed area of 4 spray heads at the least favorable position, and if the water spray intensity is equal to or slightly greater than the specification, setting the flow of the pipe section of the starting end of the pipe network to be the design flow, otherwise, adjusting the inlet pressure of the starting end of the pipe network.
Step 3.4: calculating the loss of the system vertical pipe along the way and the local head according to the design flow obtained in the step 3.3, wherein the water supply pressure at the inlet of the spraying system or the required pump lift is as follows:
H＝∑h+P0+Z，
wherein, P0The pressure of the inlet of the pipe network at the worst layer is obtained, Σ h is the accumulated value of the local head loss along the way of the system vertical pipe, and Z is the lowest water level height difference between the inlet of the pipe network at the worst layer and the fire pool.
And 4, step 4: calling an EPANET programmer tool box program in MATLAB to optimize a spraying pipe network, and carrying out constraint condition inspection and layout adjustment on the layout optimization scheme obtained by solving to obtain a final layout scheme, wherein the method specifically comprises the following steps: step 4.1 call EPANET programmer's kit in MATLAB, run hydraulic model.
Step 4.2: and acquiring the working pressure of each node and the outflow of the spray head.
Step 4.3: checking the water spray intensity in the enclosed area of 4 nozzles at least in favor, if the water spray intensity is equal to or slightly greater than the specification, the flow of the pipe section at the starting end of the pipe network is the design flow, otherwise, adjusting the inlet pressure at the starting end of the pipe network.
Step 4.4: and calculating the cost by adopting a pricing mode of a project amount list according to pipelines used by the spraying pipe network.
Step 4.5: adjusting the layout of the spraying pipe network, and repeating the steps 4.1-4.4.
And 5: and evaluating the economy of the water distribution network of the spraying system according to the cost and cost comparison.
The embodiment is 14 floors on the ground of an office building, the floor height is 3.0 meters, and the total building height is 42.45 meters, wherein the total building area on the ground is 18496.94 square meters, and the single-floor building area is 1321.21 square meters. The fire hazard class of the office building spraying system is medium hazard I class, and the standard requirement action area is 160m2Water spray intensity of 6L/min m2The design flow of the spraying system is 30L/S, and a K80 spray head is adopted.
The dendritic pipe network, the combination of the dendritic pipe network and the annular pipe network and the grating pipe network are analyzed by adopting the steps, and the comparison between the hydraulic calculation result and the construction cost calculation result shows that the grating pipe network with the minimum designed flow is the grating pipe network, the flow is reduced by 30 percent compared with the traditional dendritic pipe network, and the flow and the power of the spray water pump are correspondingly reduced; for the pressure at the starting end of the system, the pipe diameter of the branch pipe is increased in the branched pipe network, so that the head loss is reduced, and the pressure is optimal in three forms of pipe network arrangement; in the aspect of water distribution uniformity, the coefficient of the latticed pipe network is the lowest and is 34.7 percent lower than that of the dendritic pipe network; in the project cost, the cost difference of the three annular pipe networks is small, and the three annular pipe networks are more economical than the traditional branched pipe network, wherein the cost of the grid-shaped pipe network is reduced by 5.1% compared with the traditional branched pipe network, and the final layout result is shown in fig. 2.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. A spray pipe network layout optimization method is characterized by comprising the following steps: the method comprises the following steps:
step (1): drawing a pipe network arrangement plan of the worst layer in the spraying system in the CAD, and leading the pipe network arrangement plan into the EPANET;
step (2): defining a spray head in a spray system as a nozzle in the software, and specifically, connecting a flow calculation formula of the spray head with a nozzle water yield calculation formula in the software to ensure that the flow calculation formula and the nozzle water yield calculation formula are equal;
and (3): defining the pipe diameter and pipe length information of each pipe section in the spraying system and the pressure of the initial point of the water distribution network, and further establishing a hydraulic model for calculation;
and (4): and optimizing the spraying pipe network in MATLAB, and carrying out constraint condition inspection and layout adjustment on the layout optimization scheme obtained by solving to obtain a final layout scheme, so that the water spraying strength meets the requirement and the manufacturing cost is lowest.
2. The spray pipe network layout optimization method according to claim 1, characterized in that: the method also comprises the following steps before the step (1): analyzing the layout object, and determining the layout object, constraint conditions and evaluation criteria; the constraint condition is that the water spraying strength meets the requirement, and the evaluation standard is that the manufacturing cost is lowest.
3. The spray pipe network layout optimization method according to claim 1, characterized in that: the step (2) is carried out as follows:
the relationship between the discharge rate and the pressure of the nozzle in the EPANET is shown as the following formula (1):
q＝Cpγ
(1)
in the formula: q-nozzle outlet flow, L/s; c-diffusion coefficient; p-nozzle operating pressure, mH2O; -coefficient of pressure; the flow formula of the spray head is shown as formula (2):
in the formula: k-the flow coefficient of the spray head;
the combined type (1) and the formula (2) obtain:
4. the spray pipe network layout optimization method according to claim 1, characterized in that: in the step (3), the following steps are specifically carried out:
step 3.1: defining the pipe length and pipe diameter information of each pipe section in the EPANET, and converting the local head loss into the pipe length;
step 3.2: calculating the diffusion coefficient C of the selected spray head in the EPANET according to the formula (3), defining the node in the action area of the system as a nozzle, and defining the other nodes as common water consumption nodes and the basic water demand of each node as 0;
step 3.3: selecting the inlet pressure of the starting end of the pipe network to perform primary hydraulic calculation, checking the water spray intensity in the area enclosed by the spray heads at the least favorable positions, if the water spray intensity is equal to or slightly greater than the specification, the flow of the pipe section at the starting end of the pipe network is the design flow, and otherwise, adjusting the inlet pressure of the starting end of the pipe network;
step 3.4: calculating the loss of the system vertical pipe along the way and the local head according to the design flow obtained in the step 3.3, wherein the water supply pressure at the inlet of the spraying system or the required pump lift is as follows:
H＝∑h+P0+Z；
wherein, P0The pressure of the inlet of the pipe network at the worst layer is obtained, Σ h is the accumulated value of the local head loss along the way of the system vertical pipe, and Z is the lowest water level height difference between the inlet of the pipe network at the worst layer and the fire pool.
5. The spray pipe network layout optimization method according to claim 4, wherein: in step 3.3, the inlet pressure is 0.2-0.4 MPa.
6. The spray pipe network layout optimization method according to claim 1, characterized in that: the step (4) is specifically carried out as follows:
step 4.1: calling an EPANET programmer toolbox in the MATLAB to run a hydraulic model;
step 4.2: acquiring the working pressure of each node and the outflow of the spray head;
step 4.3: checking the water spray intensity in the enclosed area of 4 nozzles at least in favor of the water spray intensity, if the water spray intensity is equal to or slightly greater than the specification, the flow of a pipe section at the starting end of the pipe network is the design flow, otherwise, the inlet pressure at the starting end of the pipe network is adjusted;
step 4.4: calculating the cost by adopting a pricing mode of a project amount list according to pipelines used by the spraying pipe network;
step 4.5: adjusting the layout of the spraying pipe network, and repeating the steps 4.1-4.4.
7. Spray pipe network based on the optimized method layout according to one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010944974.0A CN112231868A (en) | 2020-09-10 | 2020-09-10 | Spraying pipe network and layout optimization method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010944974.0A CN112231868A (en) | 2020-09-10 | 2020-09-10 | Spraying pipe network and layout optimization method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112231868A true CN112231868A (en) | 2021-01-15 |
Family
ID=74115593
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010944974.0A Pending CN112231868A (en) | 2020-09-10 | 2020-09-10 | Spraying pipe network and layout optimization method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112231868A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112966359A (en) * | 2021-03-12 | 2021-06-15 | 扬州大学 | Pipe diameter optimization arrangement method for annular water supply pipe network in town |
| CN113868731A (en) * | 2021-07-30 | 2021-12-31 | 中冶南方武汉建筑设计有限公司 | Spraying arrangement method based on advanced mathematical algorithm |
| CN116341282A (en) * | 2023-05-19 | 2023-06-27 | 陕西君合建消防科技有限公司 | Layout optimization method of fire-fighting spray pipe network |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107742170A (en) * | 2017-10-25 | 2018-02-27 | 天津大学 | A kind of storm sewer system the Hydraulic Design parameter optimization method |
| CN110056781A (en) * | 2019-03-12 | 2019-07-26 | 天津大学 | Water supply network flow monitoring point optimization placement method |
| KR102031714B1 (en) * | 2018-10-25 | 2019-10-14 | 서울시립대학교 산학협력단 | system for leakage detection based on hydraulic analysis in water supply networks |
-
2020
- 2020-09-10 CN CN202010944974.0A patent/CN112231868A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107742170A (en) * | 2017-10-25 | 2018-02-27 | 天津大学 | A kind of storm sewer system the Hydraulic Design parameter optimization method |
| KR102031714B1 (en) * | 2018-10-25 | 2019-10-14 | 서울시립대학교 산학협력단 | system for leakage detection based on hydraulic analysis in water supply networks |
| CN110056781A (en) * | 2019-03-12 | 2019-07-26 | 天津大学 | Water supply network flow monitoring point optimization placement method |
Non-Patent Citations (6)
| Title |
|---|
| 和丽荣: "城市供水管网抗震水力功能可靠性研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》, no. 01, pages 038 - 1718 * |
| 李涛: "高层建筑消防给水系统优化设计", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》, no. 01, 15 January 2019 (2019-01-15), pages 31 - 39 * |
| 杜坤等: "基于EPANET的自动喷水灭火系统环状格栅管网水力计算研究", 《给水排水》, vol. 48, no. 05, 10 May 2012 (2012-05-10), pages 140 - 143 * |
| 杜坤等: "基于EPANET的自动喷水灭火系统环状格栅管网水力计算研究", 《给水排水》, vol. 48, no. 05, pages 140 - 143 * |
| 柳强等: "基于NSGA-Ⅱ的油气管网多目标布局优化", 《控制工程》, vol. 26, no. 03, pages 308 - 313 * |
| 程伟平等: "基于遗传算法的供水管网爆管监控网络布置研究", 《中国给水排水》, vol. 36, no. 15, pages 46 - 51 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112966359A (en) * | 2021-03-12 | 2021-06-15 | 扬州大学 | Pipe diameter optimization arrangement method for annular water supply pipe network in town |
| CN113868731A (en) * | 2021-07-30 | 2021-12-31 | 中冶南方武汉建筑设计有限公司 | Spraying arrangement method based on advanced mathematical algorithm |
| CN116341282A (en) * | 2023-05-19 | 2023-06-27 | 陕西君合建消防科技有限公司 | Layout optimization method of fire-fighting spray pipe network |
| CN116341282B (en) * | 2023-05-19 | 2023-08-01 | 陕西君合建消防科技有限公司 | Layout optimization method of fire-fighting spray pipe network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112231868A (en) | Spraying pipe network and layout optimization method thereof | |
| Liaw et al. | Optimum storage volume of rooftop rain water harvesting systems for domestic use 1 | |
| CN111080483B (en) | DMA automatic partitioning method for water supply network based on graph division | |
| CN106759833B (en) | A kind of combined type fairing improving urban rainwater pumping plant Inlet flow pattern | |
| CN110056781A (en) | Water supply network flow monitoring point optimization placement method | |
| Dandy et al. | Sustainability objectives for the optimization of water distribution networks | |
| CN109840346A (en) | A kind of spray system design method based on BIM application | |
| CN201543150U (en) | High-rise industrial building fire-fighting water supply system configuration structure | |
| CN112163258A (en) | Design method of venue hanging bracket based on BIM technology | |
| Sullivan | A computer model for planning the development of an offshore gas field | |
| Tanyimboh et al. | A new nodal outflow function for water distribution networks | |
| CN103955872A (en) | Method for partitioning pipe network pressure through combination of ant colony algorithm and pressure similarity analysis | |
| CN116882014A (en) | Automatic building design method based on BIM technology | |
| CN115795997A (en) | Water taking combination optimization method for municipal fire hydrant | |
| CN110147574A (en) | Auxiliary design method, system and the storage medium of roofing siphon storm-water system | |
| CN105736455B (en) | The water pump blade Thickness Design Method of raising cavitation inception performance, blade, impeller | |
| Möderl et al. | Identifying hydropower potential in water distribution systems of alpine regions | |
| Georgescu et al. | Numerical model of a district water distribution system in Bucharest | |
| White et al. | Water efficiency and reuse: a least cost planning approach | |
| Nicolini | Optimal pressure management in water networks: increased efficiency and reduced energy costs | |
| CN111695801A (en) | Regional water footprint vulnerability evaluation method based on input-output analysis technology | |
| Qi | A study on the reliability of fire water supply system in high-rise buildings | |
| CN104895797A (en) | Quantification comparison and selection method of types of large low-head pump devices | |
| Mabrouk et al. | Combining a dynamic simulation tool and a multi-criteria decision aiding algorithm for improving existing District Heating | |
| Sutharsan | Optimizing the water distribution network of community water supply using different computer simulation techniques |
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 |