CN105069231A - Intensive heat-supply pipe network layout method and system - Google Patents

Intensive heat-supply pipe network layout method and system Download PDF

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Publication number
CN105069231A
CN105069231A CN201510489969.4A CN201510489969A CN105069231A CN 105069231 A CN105069231 A CN 105069231A CN 201510489969 A CN201510489969 A CN 201510489969A CN 105069231 A CN105069231 A CN 105069231A
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pipe network
distribution pipe
data
heat distribution
network layout
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谢文利
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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Abstract

The invention discloses an intensive heat-supply pipe network layout method. The intensive heat-supply pipe network layout method comprises: acquiring information parameters of a heat-supply pipe network layout region; generating spatial geographical important information data according to the information parameters; and outputting a heat-supply pipe network layout through a pre-generated heat-supply pipe network layout optimized mathematical model to design a visual interface. By acquiring the information parameters of the heat-supply pipe network layout region, the corresponding spatial geographical important information data is generated according to the acquired information parameters; and finally, the pre-generated heat-supply pipe network layout optimized mathematical model is combined with the spatial geographical important information data to output the heat-supply pipe network layout to design the visual interface; and compared with the prior art, the more efficient, economical, accurate and reasonable heat-supply pipe network layout can be provided. The invention further discloses an intensive heat-supply pipe network layout system.

Description

A kind of concentrated heat distribution pipe network layout method and system
Technical field
The present invention relates to heat distribution pipe network design field, particularly relate to a kind of concentrated heat distribution pipe network layout method and system.
Background technology
At present, mostly there is the serious phenomenon of hydraulic misadjustment in the design of central heating heat distribution pipe network, and then supply falls short of demand to make certain customers drug on the market certain customers.For solving this contradiction, design or applying unit often strengthen the rated capacity of boiler controller system and water pump, and result causes investment to increase, and energy dissipation is serious.And along with the development in city, newly-built and renovated much industry and covil construction, increase many by-pass lines newly.But these subsequent user, when upper heating network, do not calculate mostly, constructing in the one section one section ground that lays of pipeline, makes some pipelines be single dendritic extension.Even, for meeting the thermal load demands of new user, take the method for overstriking pipeline, secondary network has occurred that hot water flows to the un-reasonable phenomenon in extra heavy pipe road by thin pipe.Therefore, a kind of concentrated heat distribution pipe network layout of optimization how is provided to be a problem demanding prompt solution.
Summary of the invention
The invention provides a kind of concentrated heat distribution pipe network layout method, efficient, economic, accurate reasonably concentrated heat distribution pipe network layout can be provided.
The invention provides a kind of concentrated heat distribution pipe network layout method, comprising:
Obtain the information parameter of heat distribution pipe network layout areas;
According to the geographical important information data of the described information parameter span;
By the heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout design visualization interface generated in advance.
Preferably, described information parameter comprises: topographic and geologic information, administrative division information, Land-use and aerophotograph information.
Preferably, describedly to comprise according to the geographical important information data of the described information parameter span:
The described information parameter obtained is stored in database;
Set up the relation database table between graph data and attribute data;
Set up Graphics Data File.
Preferably, described graph data is the spatial relationship of node and netting twine.
Preferably, the described heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout design visualization interface by generating in advance comprises:
The mode of described Graphics Data File by graph traversal is operated;
By described heat distribution pipe network layout optimization mathematical model, analyzing and processing is carried out to data;
Heat distribution pipe network topological design visualization interface is set up by Measurement index.
A kind of concentrated heat distribution pipe network layout system, comprising:
Acquiring unit, for obtaining the information parameter of heat distribution pipe network layout areas;
Generation unit, for according to the geographical important information data of the described information parameter span;
Output unit, for the heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout design visualization interface by generating in advance.
Preferably, described information parameter comprises: topographic and geologic information, administrative division information, Land-use and aerophotograph information.
Preferably, described generation unit comprises:
Storage unit, for being stored in database by the described information parameter obtained;
First sets up unit, for setting up the relation database table between graph data and attribute data;
Second sets up unit, for setting up Graphics Data File.
Preferably, described graph data is the spatial relationship of node and netting twine.
Preferably, described output unit comprises:
Operating unit, for operating the mode of described Graphics Data File by graph traversal;
Analysis and processing unit, for carrying out analyzing and processing by described heat distribution pipe network layout optimization mathematical model to data;
3rd sets up unit, for being set up heat distribution pipe network topological design visualization interface by Measurement index.
From such scheme, one provided by the invention concentrates heat distribution pipe network layout method, by obtaining the information parameter of heat distribution pipe network layout areas, corresponding space and geographical important information data are generated according to the information parameter got, finally by the heat distribution pipe network layout optimization mathematical model generated in advance, in conjunction with described space and geographical important information data heat outputting solenoid net layout design visualization interface, can provide more efficient, economical relative to prior art, accurately reasonably concentrate heat distribution pipe network layout.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The process flow diagram of Fig. 1 a kind of concentrated heat distribution pipe network layout method disclosed in the embodiment of the present invention;
Fig. 2 is the disclosed another kind of process flow diagram concentrating heat distribution pipe network layout method of the embodiment of the present invention;
The structural representation of Fig. 3 a kind of concentrated heat distribution pipe network layout system disclosed in the embodiment of the present invention;
Fig. 4 is the disclosed another kind of structural representation concentrating heat distribution pipe network layout system of the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Figure 1, a kind of concentrated heat distribution pipe network layout method disclosed in the embodiment of the present invention, comprising:
The information parameter of S101, acquisition heat distribution pipe network layout areas;
When needs are optimized layout to concentrated heat distribution pipe network, information parameter acquisition is carried out in the heat distribution pipe network region for the treatment of layout.
S102, according to the geographical important information data of the described information parameter span;
When getting after the information parameter in the heat distribution pipe network region of layout, the information parameter got to be edited, treatment and analysis, the geographical important information data of the span.
S103, the heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout passing through to generate in advance design visualization interface.
After according to the geographical important information data of the information parameter span, by the heat distribution pipe network layout optimization mathematical model generated in advance, export optimum overall thermal solenoid net layout design visualization interface in conjunction with the space and geographical important information data generated.
In the above-described embodiments, by obtaining the information parameter of heat distribution pipe network layout areas, corresponding space and geographical important information data are generated according to the information parameter got, finally by the heat distribution pipe network layout optimization mathematical model generated in advance, in conjunction with described space and geographical important information data heat outputting solenoid net layout design visualization interface, can provide more efficient, economical relative to prior art, accurately reasonably concentrate heat distribution pipe network layout.
As shown in Figure 2, another kind of concentrated heat distribution pipe network layout method disclosed in the embodiment of the present invention, comprising:
The information parameter of S201, acquisition heat distribution pipe network layout areas;
When needs are optimized layout to concentrated heat distribution pipe network, information parameter acquisition is carried out in the heat distribution pipe network region for the treatment of layout.
Concrete, described information parameter can comprise: topographic and geologic information, administrative division information, Land-use and aerophotograph information.Wherein, Land-use comprises road, regional database and existing underground pipeline etc.
S202, by obtain described information parameter be stored in database;
The information parameter of collection is stored in database according to different storing modes, namely the object of entity is carried out changing and storing with objects such as table and views.Wherein, described database comprises database engine, can provide interface and data-manipulating window by database engine for user accesses data storehouse, by data-manipulating window can realize data newly-built, amendment and delete.Namely can by obtain different informations parameter to the data in database realize newly-built, amendment and delete.
S203, set up relation database table between graph data and attribute data;
Relation database table just refers to the nongraphical data list corresponding with graph data.Wherein attribute data is mutually corresponding with graph data.Graph data has just reacted the spatial relationship of node and netting twine, and concrete quantitative relationship data still will support by attribute data.In heating network, define corresponding attribute data for different nodes and netting twine.Pipe network interior joint is classified by function difference, can be divided into: thermal source, user, pipeline section joint, pipeline section annex etc.; Netting twine is mainly based on pipe network.
Pipeline section attribute data comprises: expense, caliber, pipe range, flow, pressure drop, inflow node, flow out node, pipeline section numbering, System Number, flow velocity, valve number, elbow number, compensator number, lay time, buried depth, tubing, remarks;
The attribute of node and thermal source: expense, comprise respective node and thermal source numbering, System Number, respective flow and absolute altitude and pressure and in length and breadth coordinate, remarks;
The attribute of user and pipeline section annex: expense, respective absolute altitude and numbering, annex shock resistance system, radiated time etc.
After relation database table has been set up, by binding can apply with corresponding graph data.
S204, set up Graphics Data File;
Graph data is heating network representation of data the most intuitively on computers.It comprises basic graphical element has: point, line, surface three kinds.Points And lines two kinds of data are only had, the heat supply node (valve and pipeline joint) respectively in corresponding heating network and heat supply pipeline in the graph data of heating network.
In the design of the enterprising line pipe net layout of electronic chart heat supply regional planning figure base map, original electronics base map carries out the layout of heating network element, namely places pipeline section, user, thermal source etc.For existing heating network, usual pipe network figure exists with the form of papery blueprint or Electronic CAD figure.Now need to be scanned insertion, then vector quantization data.Finally pipe network data are inputted one by one.When map making, advise that different element divides layer management.
S205, the mode of described Graphics Data File by graph traversal to be operated;
After the foundation completing graphic file, just the information of heating network can be input in system.Will operate and Data Analysis Services figure, for external channeling optimization provides precondition after completing data input.The object of graphic operation is accurate in order to ensure the graph data of input, can enter next step and calculate.Data Analysis Services fundamental purpose converts view data to matrix, comprises incidence matrix, fundamental circuit matrix, weight matrix.
Graphic operation has mainly been operated by graph traversal.Traversal refers to a certain point from figure, and through all nodes of figure, and each node is only by process once.If figure can complete traversal, show that it must be connected graph.Just can judge that input pipe network can carry out pipe network calculating for the heating network figure be communicated with.
S206, by described heat distribution pipe network layout optimization mathematical model, analyzing and processing is carried out to data;
Data Analysis Services can be carried out after completing graphic operation.Figure is converted to matrix by Data Analysis Services exactly.Here also use the connectivity analysis of network analysis, method is still traversal, solves minimum spanning tree.In heating network, we can using the impedance of pipeline section and node as branch's weights, and give each pipeline section and node, such pie graph is weighted graph.Minimum spanning tree refers in spanning tree, compose the minimum spanning tree of weights.
Concrete, minimum spanning tree method is:
The basic thought of prim algorithm (prim algorithm): suppose that G=(V, E) is a Connected network with n summit, T=(U, TE) be the minimum spanning tree of G, wherein U is the vertex set of T, and TE is the limit collection of T, and the initial value of U and TE is empty set.When algorithm starts, first appoint from V and get a summit (assuming that getting V0), it is incorporated in U, now U={V0}, as long as then U is the proper subclass of V, just from those one end points among T, in all limits of another end points still outside T, look for the shortest (namely weights are a minimum) limit, be assumed to (i, j), wherein Vi ∈ U, Vj ∈ (V-U), and this limit (i, j) limit collection TE and the vertex set U of T is incorporated to respectively with summit j, so go on, in spanning tree, be incorporated to a summit and a limit at every turn, until just all n summit is all incorporated in the vertex set of spanning tree T after n-1 time, now U=V, containing n-1 bar limit in TE, T is exactly the minimum spanning tree finally obtained.Can find out, in prim algorithm, be adopt the summit progressively increased in U, be often called " method of adding some points ".
S207, set up heat distribution pipe network topological design visualization interface by Measurement index.
The visual optimization system interface of heat distribution pipe network topological design is set up by conventional Measurement index.
To sum up stating and set up spatial database and attribute database, is then set up graphic file and respective attributes, then is the operation to graphic file and the analysis to spatial data and the calculating to attribute data afterwards.
When carrying out heating network water force, can as traditional design mode be drawn on CAD platform with operation in conjunction with graphics edition, simply and intuitively.After completing graph data input, the attribute data table of foundation, calculates known data and inputs one by one by pipe network.Each pipeline section has corresponding property window.
So far, whole external channeling Optimum Design System basically forms, and implementation space and attribute can create query function, figure input editing operating function etc. and carry out simplifying the operation of heat distribution pipe network layout optimization.
Concrete, heat distribution pipe network layout optimization mathematical model is as follows:
min s = Σ j = 1 n f j ( d j ) · l j (formula 1)
StAX=G (formula 2)
Σ k = 1 m G k = 0 (formula 3)
Wherein:
M is the number of heat user in heat supply network original graph and hot source point, and n is the number that heat supply network moves towards pipeline section in scheme, for all schemes, and n=m-1; d jfor being numbered the internal diameter (rice) of the pipeline section of j in scheme; l jfor the length (rice) of jth pipeline section; f j(d j) be the unit length cost of jth pipeline section, be d jwith the function (ten thousand yuan/meter) of system of laying; S is the pipe network total cost (ten thousand yuan) of scheme; A is that m × n ties up structural matrix, and it reflects the structure that pipe network is graphic in single value.Its element value: if node k is the starting point of pipeline section j, then a kj=-1; If node k and pipeline section j has nothing to do, then a kj=0, heating agent flows to terminal a from pipeline section starting point kj=1;
X is pipeline section flow rate vector, X=[X 1, X 2..., X n] t, X jfor the heating agent amount (ton/time) in jth pipeline section; G kfor node load (ton/time).If k node is real user, G k>0; If k node is dummy user, G k=0; When k node is thermal source, G k<0; G is node load vector, G=[G 1, G 2..., G m] t; Objective function Equation 1 represents seeks a heat supply network trend, makes the total investment of each pipeline section in net obtain minimal value; Constraint condition formula 2 is the constraint that each node thermal load (being embodied on rate-of flow) of heat supply network balances; Constraint condition formula 3 will meet the thermal load demands of all users for thermal load that thermal source exports.
In sum, one provided by the invention concentrates heat distribution pipe network layout method, and be collection central heating heat distribution pipe network design information condition, design constraint, process of optimization and design result etc. are in the visual system of computerize of one.Adopt the present invention first to make heat distribution pipe network layout path be optimized, under the demand prerequisite meeting user's heat, realize energy saving economy central heating.According to model programming, simplify the work of heat distribution pipe network optimal design, even layman also can realize water pipeline optimization.The a large amount of space and geographical important information of visual and bulk information database purchase, increase work efficiency, making can the reaction heat pipe accurately and timely rationality of arranging in heat pipe design, makes pipe network system safety, reliable, finally realizes visual, media at heat distribution pipe network layout optimization design.
As shown in Figure 3, for one disclosed by the invention concentrates heat distribution pipe network layout system, comprising:
Acquiring unit 31, for obtaining the information parameter of heat distribution pipe network layout areas;
When needs are optimized layout to concentrated heat distribution pipe network, information parameter acquisition is carried out in the heat distribution pipe network region of being treated layout by acquiring unit 31.
Generation unit 32, for according to the geographical important information data of the described information parameter span;
When acquiring unit 31 gets after the information parameter in the heat distribution pipe network region of layout, generation unit 32 is edited the information parameter got, treatment and analysis, the geographical important information data of the span.
Output unit 33, for the heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout design visualization interface by generating in advance.
After generation unit 32 is according to the geographical important information data of the information parameter span, the heat distribution pipe network layout optimization mathematical model of output unit 33 by generating in advance, exports optimum overall thermal solenoid net layout design visualization interface in conjunction with the space and geographical important information data generated.
In the above-described embodiments, by obtaining the information parameter of heat distribution pipe network layout areas, corresponding space and geographical important information data are generated according to the information parameter got, finally by the heat distribution pipe network layout optimization mathematical model generated in advance, in conjunction with described space and geographical important information data heat outputting solenoid net layout design visualization interface, can provide more efficient, economical relative to prior art, accurately reasonably concentrate heat distribution pipe network layout.
As shown in Figure 4, for another kind disclosed by the invention concentrates heat distribution pipe network layout system, comprising:
Acquiring unit 41, for obtaining the information parameter of heat distribution pipe network layout areas;
When needs are optimized layout to concentrated heat distribution pipe network, information parameter acquisition is carried out in the heat distribution pipe network region of being treated layout by acquiring unit 41.
Concrete, described information parameter can comprise: topographic and geologic information, administrative division information, Land-use and aerophotograph information.Wherein, Land-use comprises road, regional database and existing underground pipeline etc.
Storage element 42, for being stored in database by the described information parameter obtained;
By storage element 42, the information parameter of collection is stored in database according to different storing modes, namely the object of entity is carried out changing and storing with objects such as table and views.Wherein, described database comprises database engine, can provide interface and data-manipulating window by database engine for user accesses data storehouse, by data-manipulating window can realize data newly-built, amendment and delete.Namely can by obtain different informations parameter to the data in database realize newly-built, amendment and delete.
First sets up unit 43, for setting up the relation database table between graph data and attribute data;
Relation database table just refers to the nongraphical data list corresponding with graph data.Wherein attribute data is mutually corresponding with graph data.Graph data has just reacted the spatial relationship of node and netting twine, and concrete quantitative relationship data still will support by attribute data.In heating network, define corresponding attribute data for different nodes and netting twine.Pipe network interior joint is classified by function difference, can be divided into: thermal source, user, pipeline section joint, pipeline section annex etc.; Netting twine is mainly based on pipe network.
Pipeline section attribute data comprises: expense, caliber, pipe range, flow, pressure drop, inflow node, flow out node, pipeline section numbering, System Number, flow velocity, valve number, elbow number, compensator number, lay time, buried depth, tubing, remarks;
The attribute of node and thermal source: expense, comprise respective node and thermal source numbering, System Number, respective flow and absolute altitude and pressure and in length and breadth coordinate, remarks;
The attribute of user and pipeline section annex: expense, respective absolute altitude and numbering, annex shock resistance system, radiated time etc.
After relation database table has been set up, by binding can apply with corresponding graph data.
Second sets up unit 44, for setting up Graphics Data File;
Graph data is heating network representation of data the most intuitively on computers.It comprises basic graphical element has: point, line, surface three kinds.Points And lines two kinds of data are only had, the heat supply node (valve and pipeline joint) respectively in corresponding heating network and heat supply pipeline in the graph data of heating network.
In the design of the enterprising line pipe net layout of electronic chart heat supply regional planning figure base map, original electronics base map carries out the layout of heating network element, namely places pipeline section, user, thermal source etc.For existing heating network, usual pipe network figure exists with the form of papery blueprint or Electronic CAD figure.Now need to be scanned insertion, then vector quantization data.Finally pipe network data are inputted one by one.When map making, advise that different element divides layer management.
Operating unit 45, for operating the mode of described Graphics Data File by graph traversal;
After the foundation completing graphic file, just the information of heating network can be input in system.Will operate and Data Analysis Services figure, for external channeling optimization provides precondition after completing data input.The object of graphic operation is accurate in order to ensure the graph data of input, can enter next step and calculate.Data Analysis Services fundamental purpose converts view data to matrix, comprises incidence matrix, fundamental circuit matrix, weight matrix.
Graphic operation has mainly been operated by graph traversal.Traversal refers to a certain point from figure, and through all nodes of figure, and each node is only by process once.If figure can complete traversal, show that it must be connected graph.Just can judge that input pipe network can carry out pipe network calculating for the heating network figure be communicated with.
Analysis and processing unit 46, for carrying out analyzing and processing by described heat distribution pipe network layout optimization mathematical model to data;
Data Analysis Services can be carried out after completing graphic operation.Figure is converted to matrix by Data Analysis Services exactly.Here also use the connectivity analysis of network analysis, method is still traversal, solves minimum spanning tree.In heating network, we can using the impedance of pipeline section and node as branch's weights, and give each pipeline section and node, such pie graph is weighted graph.Minimum spanning tree refers in spanning tree, compose the minimum spanning tree of weights.
Concrete, minimum spanning tree method is:
The basic thought of prim algorithm (prim algorithm): suppose that G=(V, E) is a Connected network with n summit, T=(U, TE) be the minimum spanning tree of G, wherein U is the vertex set of T, and TE is the limit collection of T, and the initial value of U and TE is empty set.When algorithm starts, first appoint from V and get a summit (assuming that getting V0), it is incorporated in U, now U={V0}, as long as then U is the proper subclass of V, just from those one end points among T, in all limits of another end points still outside T, look for the shortest (namely weights are a minimum) limit, be assumed to (i, j), wherein Vi ∈ U, Vj ∈ (V-U), and this limit (i, j) limit collection TE and the vertex set U of T is incorporated to respectively with summit j, so go on, in spanning tree, be incorporated to a summit and a limit at every turn, until just all n summit is all incorporated in the vertex set of spanning tree T after n-1 time, now U=V, containing n-1 bar limit in TE, T is exactly the minimum spanning tree finally obtained.Can find out, in prim algorithm, be adopt the summit progressively increased in U, be often called " method of adding some points ".
3rd sets up unit 47, for being set up heat distribution pipe network topological design visualization interface by Measurement index.
The visual optimization system interface of heat distribution pipe network topological design is set up by conventional Measurement index.
To sum up stating and set up spatial database and attribute database, is then set up graphic file and respective attributes, then is the operation to graphic file and the analysis to spatial data and the calculating to attribute data afterwards.
When carrying out heating network water force, can as traditional design mode be drawn on CAD platform with operation in conjunction with graphics edition, simply and intuitively.After completing graph data input, the attribute data table of foundation, calculates known data and inputs one by one by pipe network.Each pipeline section has corresponding property window.
So far, whole external channeling Optimum Design System basically forms, and implementation space and attribute can create query function, figure input editing operating function etc. and carry out simplifying the operation of heat distribution pipe network layout optimization.
Concrete, heat distribution pipe network layout optimization mathematical model is as follows:
min s = &Sigma; j = 1 n f j ( d j ) &CenterDot; l j (formula 1)
StAX=G (formula 2)
&Sigma; k = 1 m G k = 0 (formula 3)
Wherein:
M is the number of heat user in heat supply network original graph and hot source point, and n is the number that heat supply network moves towards pipeline section in scheme, for all schemes, and n=m-1; d jfor being numbered the internal diameter (rice) of the pipeline section of j in scheme; l jfor the length (rice) of jth pipeline section; f j(d j) be the unit length cost of jth pipeline section, be d jwith the function (ten thousand yuan/meter) of system of laying; S is the pipe network total cost (ten thousand yuan) of scheme; A is that m × n ties up structural matrix, and it reflects the structure that pipe network is graphic in single value.Its element value: if node k is the starting point of pipeline section j, then a kj=-1; If node k and pipeline section j has nothing to do, then a kj=0, heating agent flows to terminal a from pipeline section starting point kj=1;
X is pipeline section flow rate vector, X=[X 1, X 2..., X n] t, X jfor the heating agent amount (ton/time) in jth pipeline section; G kfor node load (ton/time).If k node is real user, G k>0; If k node is dummy user, G k=0; When k node is thermal source, G k<0; G is node load vector, G=[G 1, G 2..., G m] t; Objective function Equation 1 represents seeks a heat supply network trend, makes the total investment of each pipeline section in net obtain minimal value; Constraint condition formula 2 is the constraint that each node thermal load (being embodied on rate-of flow) of heat supply network balances; Constraint condition formula 3 will meet the thermal load demands of all users for thermal load that thermal source exports.
If the function described in the present embodiment method using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computing equipment read/write memory medium.Based on such understanding, the part of the part that the embodiment of the present invention contributes to prior art or this technical scheme can embody with the form of software product, this software product is stored in a storage medium, comprising some instructions in order to make a computing equipment (can be personal computer, server, mobile computing device or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), magnetic disc or CD etc. various can be program code stored medium.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiment, between each embodiment same or similar part mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (10)

1. a concentrated heat distribution pipe network layout method, is characterized in that, comprising:
Obtain the information parameter of heat distribution pipe network layout areas;
According to the geographical important information data of the described information parameter span;
By the heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout design visualization interface generated in advance.
2. method according to claim 1, is characterized in that, described information parameter comprises: topographic and geologic information, administrative division information, Land-use and aerophotograph information.
3. method according to claim 2, is characterized in that, describedly comprises according to the geographical important information data of the described information parameter span:
The described information parameter obtained is stored in database;
Set up the relation database table between graph data and attribute data;
Set up Graphics Data File.
4. method according to claim 3, is characterized in that, described graph data is the spatial relationship of node and netting twine.
5. method according to claim 4, is characterized in that, the described heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout design visualization interface by generating in advance comprises:
The mode of described Graphics Data File by graph traversal is operated;
By described heat distribution pipe network layout optimization mathematical model, analyzing and processing is carried out to data;
Heat distribution pipe network topological design visualization interface is set up by Measurement index.
6. a concentrated heat distribution pipe network layout system, is characterized in that, comprising:
Acquiring unit, for obtaining the information parameter of heat distribution pipe network layout areas;
Generation unit, for according to the geographical important information data of the described information parameter span;
Output unit, for the heat distribution pipe network layout optimization mathematical model heat outputting solenoid net layout design visualization interface by generating in advance.
7. system according to claim 6, is characterized in that, described information parameter comprises: topographic and geologic information, administrative division information, Land-use and aerophotograph information.
8. system according to claim 7, is characterized in that, described generation unit comprises:
Storage unit, for being stored in database by the described information parameter obtained;
First sets up unit, for setting up the relation database table between graph data and attribute data;
Second sets up unit, for setting up Graphics Data File.
9. system according to claim 8, is characterized in that, described graph data is the spatial relationship of node and netting twine.
10. system according to claim 9, is characterized in that, described output unit comprises:
Operating unit, for operating the mode of described Graphics Data File by graph traversal;
Analysis and processing unit, for carrying out analyzing and processing by described heat distribution pipe network layout optimization mathematical model to data;
3rd sets up unit, for being set up heat distribution pipe network topological design visualization interface by Measurement index.
CN201510489969.4A 2015-08-11 2015-08-11 Intensive heat-supply pipe network layout method and system Pending CN105069231A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
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CN106558101A (en) * 2016-11-03 2017-04-05 广州凯耀资产管理有限公司 Spatial information acquisition methods and device
CN110473118A (en) * 2019-08-14 2019-11-19 华北电力大学(保定) A kind of generation method of multi-heat source tree-shaped heating network incidence matrix
CN110473118B (en) * 2019-08-14 2023-04-14 华北电力大学(保定) Generation method of multi-heat-source dendritic heat supply pipe network incidence matrix
CN110795845A (en) * 2019-10-28 2020-02-14 浙江大学 Heat supply system margin quantitative calculation method and system
CN111046513A (en) * 2019-11-25 2020-04-21 河海大学 Intelligent comprehensive energy system heating pipe network layout optimization design method
CN111046513B (en) * 2019-11-25 2020-08-11 河海大学 Intelligent comprehensive energy system heating pipe network layout optimization design method
CN112241564A (en) * 2020-10-20 2021-01-19 同济大学 Optimization algorithm for water system path in air conditioning system
CN112241564B (en) * 2020-10-20 2022-09-13 同济大学 Optimization method for water system path in air conditioning system

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