LU503773B1 - A planning method of heating pipe network - Google Patents

A planning method of heating pipe network Download PDF

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LU503773B1
LU503773B1 LU503773A LU503773A LU503773B1 LU 503773 B1 LU503773 B1 LU 503773B1 LU 503773 A LU503773 A LU 503773A LU 503773 A LU503773 A LU 503773A LU 503773 B1 LU503773 B1 LU 503773B1
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pipe
pipe network
hydraulic
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Xiaoming Guo
Youjun Wang
Bingjun Si
Jiyuan He
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Huaneng Xinhua Power Generation Co Ltd
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    • G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
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Abstract

The invention discloses a planning method of heating pipe network,which relates to the technical field of heating pipe network. The pipe network distribution information is obtained, and the hydraulic pipe network topology model is established according to the pipe network distribution information and the principle of preset pipe network nodes. Design optimization includes: establishing the optimization model of annual investment cost objective function according to multiple economic parameters, and setting the constraint conditions of multiple physical parameters; solving the annual investment cost objective function of optimization model according to the constraints of multiple physical parameters and obtaining the optimal combination of pipe segments. Greatly improve the reliability of pipe network planning, so as to design pipe section diameter reasonably.

Description

A planning method of heating pipe network 45057739
Technical field
This application relates to the technical field of heating pipe network, more specifically, to a planning method of heating pipe network.
Background technology
The existing design optimization of heating pipe network, most of them through the following two methods:
Empirical method: Empirical method is usually applicable to small pipe network according to the designer's experience. For large pipe network with complex pipelines and too many design factors, it is difficult to meet the technical and economic requirements in the pipe network design phase by comparing several design schemes based on experience. For large-scale pipe network design, a lot of money will be invested in the early stages, if the layout and construction is lack of scientific basis, it will lead to a serious waste of funds.
The classical graph method only takes the shortest pipe network path or the shortest total length as the design optimization goal, without considering the impact on pipe network performance and investment in different water sources or flows, and can only obtain a shortest pipe network design scheme. However, in the actual project implementation, there are inevitably some other factors, other secondary schemes may be more practical feasibility than the optimal scheme.
Therefore, how to improve the economic reliability and operational practicability of pipe network design is a technical problem to be solved at present.
Summary of the invention
The invention provides a planning method of heating pipe network to solve the technical problems of poor economic reliability and low operational practicability in the prior technology.
The methods include:
The pipe network distribution information is obtained, and the hydraulic pipe network topology model is established according to the pipe network distribution information and the principle of preset pipe network nodes;
In the modeling process, the model check is carried out. After checking, the topology model of the hydraulic pipe network is used to determine whether there is a pipe segment with abnormal hydraulic parameters. If there is,the pipe segment will be designed and optimized,
Design optimization includes: establishing the optimization model of annual investment cost objective function according to multiple economic parameters;
solving the annual investment cost objective function of optimization model according t&/503773 the constraints of multiple physical parameters and obtaining the optimal combination of pipe segments;
In some embodiments of this application, the proposed pipe network node principles include:
The locations where the pipe network crosses each other are pipe network nodes; and, the location where the pipe diameter or pipe material changes is the pipe network node; and, the location of ancillary facilities in the pipeline is the network node; and, the nodes near each other as the same pipe network node.
In some embodiments of this application, model verification is carried out during the modeling process, specifically as follows:
Checking includes basic data checking, pipe network topology checking and model details checking;
After the above mentioned checking passed, the model checking is passed.
In some embodiments of this application, determining whether there are pipe segments with abnormal hydraulic parameters according to the topology model of hydraulic pipe network, specifically:
Hydraulic parameters include flow velocity and head loss;
Under operating conditions, if there is a pipe segment whose flow velocity is outside the safe interval in the topology model of the hydraulic pipe network, there is a pipe segment with abnormal hydraulic parameters;
Under operating conditions, if there is no pipe segment whose flow velocity is outside the safe interval in the topology model of the hydraulic pipe network, there is no pipe segment with abnormal hydraulic parameters;
Where, if the water flow velocity is outside the safe interval means that the water flow velocity exceeds the upper limit of the safe interval or is lower than the lower limit of the safe interval.
In some embodiments of this application, determining whether there are pipe segments with abnormal hydraulic parameters according to the topology model of hydraulic pipe network, specifically:
When determining no pipe segment with abnormal hydraulic parameters, we should judge whether the hydraulic head loss in the hydraulic network topology model under operating conditions exceeds the threshold value;
If the hydraulic head loss exceeds the threshold value, there is pipe segment with abnormal hydraulic parameters; LUS03773
If the hydraulic head loss below the threshold value, there is no pipe segment with abnormal hydraulic parameters.
In some embodiments of this application, constraints of multiple physical parameters are set, specifically:
The multiple physical parameters include flow balance, pressure balance, pipe section flowing speed and pipe diameter value range;
The flow balance equation is obtained according to Kirchhoff's first law, and the flow balance constraint conditions are constrained according to the flow balance equation; setting the constraint conditions of pressure balance including circuit pressure loss and user capital head loss; setting the constraint conditions of pipe section flowing speed is below the maximum flowing speed,
Setting the constraint conditions of pipe diameter value range is below the maximum pipe diameter and upon the minimum diameter.
In some embodiments of this application, solving the annual investment cost objective function of optimization model according to the constraints of multiple physical parameters and obtaining the optimal combination of pipe segments, specifically: adding the optimized pipe segment into the coding sequence in flow direction order; determining the pipe diameter and code it according the flowing rate; filtering coding and converting parameter set into bit string;
The initial population is randomly generated within the constraints of multiple physical parameters; calculating the individual fitness value; judging whether the individual fitness value satisfies the convergence principle;
If the individual fitness value satisfies, we will output it as a result.
In some embodiments of this application, when doing design optimization, the method also includes:
If the individual fitness value not satisfies, we will perform selection,crossover and mutation operations to generate a new generation of population, and then the individual fitness value is recalculated for the new generation of population.
In some embodiments of this application, the method also include:
The result will be stored in the database, if the abnormal hydraulic parameters of the pipe section at the same position are detected again, the result will be used directly.
By applying the above technical scheme, the network distribution information is obtained,
and the hydraulic network topology model is established according to the network distributidiW503773 information and the principle of preset network nodes. In the modeling process, the model checking is carried out. After checking, the topology model of the hydraulic pipe network is used to determine whether there is a pipe segment with abnormal hydraulic parameters. If there is, the pipe diameter of the pipe segment with abnormal hydraulic parameters is designed and optimized.
Design optimization includes: establishing the optimization model of the annual investment cost objective function according to multiple economic parameters, and setting the constraint conditions of multiple physical parameters; solving the optimization model of the annual investment cost objective function according to the constraints of multiple physical parameters and getting the optimal combination of pipe segments. this application determines whether there is a pipe segment with abnormal hydraulic parameters. through setting the topology model of the hydraulic pipe network. If there is,the pipe segment will be designed and optimized. Greatly improve the reliability of pipe network planning, so as to design pipe section diameter reasonably.
Description of attached figures
In order to clearly describe the technical solution in some embodiments of this application, a brief introduction to the drawings required for the description of embodiments will be given below. Obviously, the drawings described below are only embodiments of this application, and other drawings can be obtained from them without any creative effort to the technicians in the field.
Fig.1 shows a flow diagram of a planning method of heating pipe network proposed in the embodiment of the invention;
Fig. 2 shows a logical block diagram of an optimization solution by genetic algorithm presented in another embodiment of the invention;
Fig 3 shows a structure diagram of a planning method of heating pipe network proposed in the embodiment of the invention;
Specific embodiments
The following is a clear and complete description of the technical scheme in the application embodiment in combination with the drawings attached Obviously, the described embodiment is only a part, but not the whole one. On the basis of the embodiments in this application, all other embodiments acquired by ordinary technicians in the field without creative labor shall fall within the scope of protection in this application.
This application embodiment provides a method of heating pipe network, as shown in
Figure 1, which consists of the following steps:
Step S101, the pipe network distribution information is obtained, and the hydraulic pipe network topology model is established according to the pipe network distribution informatid/503773 and the principle of preset pipe network nodes
In this embodiment, the vertical hydraulic pipe network topology model is established according to the existing urban primary pipe network distribution diagram (pipe network 5 distribution information). When part of the information in the figure is missing or the information is not clear, it is necessary to find more detailed pipeline layout diagram or search the Internet to find accurate data, so as to establish an accurate model.
In order to improve the accuracy of the model, the principle of preset pipe network nodes mentioned in some embodiments of this application includes: pipe network nodes are located where the pipe network crosses each other; and, the location of pipe diameter or pipe change is the pipe network node; and, the location of ancillary facilities in the pipeline is the network node; and, nodes near each other as the same pipe network node.
In this embodiment, the actual urban heating pipe network is quite complex, and there are many intersections among the pipes. In order to make the complex urban heat supply pipe network structure clear, improve the simulation efficiency of pipe network, it is necessary to simplify the pipe network. One of the most important is to determine the network nodes, to ensure the correct distribution of the network. In order to determine the nodes of the pipe network, the two nodes are identified as pipelines, following the below principles: (1) The locations where the pipe network crosses each other (2) the location where the pipe diameter or pipe material changes (3) the location of ancillary facilities in the pipeline (4) the nodes near each other as the same pipe network node.
Step S102, in the modeling process, the model check is carried out. After checking, the topology model of the hydraulic pipe network is used to determine whether there is a pipe segment with abnormal hydraulic parameters. If there is,the pipe segment will be designed and optimized.
In order to further improve the accuracy of the model, in some embodiments of this application, model checking is carried out during the modeling process. Specifically, checking includes basic data checking, pipe network topology checking and model detail checking. After checking passed, the model check is passed.
In this embodiment, model checking includes three basic processes: basic data checking, pipe network topology checking and model details checking, which is also the whole step of the modeling process. Each of the three processes has its own focus at different stages of modeling.
Comparing and analyzing the collected basic data with the actual measured data, evaluating with statistical methods, and screening out the data useful for establishing the model. Sorting out thé/503773 problems and finding out the reasons, and seeking solutions. Carrying out the second actual measurement of the wrong data and unclear data, and monitoring the key position and updating the data in time. After establishing the topology structure of the model, correct and determine the wrong parameters and wrong relations to ensure the correct position of each node. The result must ensure that the precision of the pipe network is sufficient, and the connection of the pipe and the direction of the water flow are consistent with the actual situation. After establishing the model, it is necessary to check whether the parameters are correct, whether the pipe network can operate normally, and whether its accuracy meets the standard. Through the model topology test stage, it is necessary to make the connection between the model and the pipeline conform to the actual situation. In order to reduce the modeling errors of pipe network, it is necessary to check the details of pipe network and adjust the key parameters that affect the model accuracy. After the above content is completed, the model is verified and passed.
In order to improve the judgment accuracy of abnormal pipe segments, some embodiments of this application determine whether there are pipe segments with abnormal hydraulic parameters according to the hydraulic pipe network topology model, specifically: hydraulic parameters include flow velocity and head loss; Under operating conditions, if there is a pipe segment whose flow velocity is outside the safe interval in the topology model of the hydraulic pipe network, there is a pipe segment with abnormal hydraulic parameters; Under operating conditions, if there is no pipe segment with the flow velocity outside the safe interval in the topology model of the hydraulic pipe network, it is initially considered that there is no pipe segment with abnormal hydraulic parameters. Where the water flow velocity is outside the safe interval, the water flow velocity exceeds the upper limit of the safe interval or is lower than the lower limit of the safe interval. When determining no pipe segment with abnormal hydraulic parameters, we should judge whether the hydraulic head loss in the hydraulic network topology model under operating conditions exceeds the threshold value If it exceeds the value, there is a pipe segment with abnormal hydraulic parameters, and if it below the value, there is no pipe segment with abnormal hydraulic parameters.
In this embodiment, according to the analysis of the actual situation of the pipe network, the problems of flow rate of the pipe network too high and too low are caused by the unreasonable diameter design of the pipe segment. When the flow rate of the pipe segment is too low, the diameter of the pipe segment should be reduced during the design of the pipe segment.
When the velocity of the pipe section is too high, the pipe diameter of the pipe section should be increased during the design of the pipe section. Excessive head loss of pipe network is usually caused by too small pipe diameter selection. Therefore, first judge whether the water flow velocity exceeds the safe interval, and if it does, the pipe section is abnormal. If not, then judgé/503773 whether the head loss exceeds the threshold. If not, the pipe section is normal.
It should be noted that the order of judging water flow velocity and water head loss can be adjusted, for example, judging water head loss first, then judging water flow velocity. The judgment idea here is that if either the flow velocity or the head loss does not meet the conditions, then the pipe section is abnormal; if both meet the conditions, then the pipe section is normal.
Step S103, design optimization includes: establishing the optimization model of annual investment cost objective function according to multiple economic parameters, setting multiple physical parameter constraints.
In this embodiment, when there is unreasonable pipe diameter design in the pipe network, an optimization model with annual investment cost as the objective function is established and solved by genetic algorithm. The economic evaluation of pipe network mainly includes investment cost and operation cost, which have mutual restriction relationship. when optimizing, the minimum investment cost and annual operating cost of pipe network are selected as the objective function. The objective function as following: minZ = aC, + Cy
Z is the annual converted cost of pipe network, yuan/year,a is the standard investment effect coefficient, 1/year; Considering the time cost of capital, the investment effect is evaluated dynamically.Cyis the total investment of pipe network, yuan;C,is the annual operation cost of pipe network, Yuan/year. The operating cost mainly includes the cost of pipeline depreciation and maintenance, the cost of water pump operation and the cost of pipeline cooling loss.
The total investment cost of heating pipe network mainly includes the purchase cost of pipe network and circulating water pump;civil construction and installation funds including equipment purchase cost, construction assembly project cost and other construction costs, etc. which are calculated according to the following formula n n n
Ca =) fd)li=a) Li+b di, i=1 i=1 i=1
Where, n is the total number of pipe network segments; d; is the pipe diameter of section i, m; L; is the length of pipe section i, m; f(d;) is the unit length investment of section i pipe, yuan. The expression of regression model f(d;) can be obtained according to the municipal engineering investment estimation index, f(d;) =atbdi, where a and b are regression coefficients.
The annual operation cost of heating pipe network mainly includes the operation cost of water pump, the depreciation and maintenance cost and the heat loss cost of pipeline, as follows:
Cy =C.+ Ca +C, LU503773
Where, C, is the circulating water pump annual operation electricity fee, yuan/year, Ca is the heat loss cost of the pipeline network, Yuan/year; C, is the depreciation cost of pipeline maintenance, RMB/year.
In order to improve some embodiments of this application, setting constraints of multiple physical parameters, specifically: the multiple physical parameters include flow balance, pressure balance, pipe segment velocity and pipe diameter value range; The flow balance equation is obtained according to Kirchhoff's first law. The flow balance constraint conditions are constrained according to the flow balance equation. The constraint conditions of the pressure balance include the pressure loss of the circuit and the loss of the user's capital head. The constraint condition of the velocity of pipe segment is that the velocity of pipe segment does not exceed the maximum velocity. The constraint condition of the value range of pipe diameter is set as the pipe diameter is not less than the minimum pipe diameter and not less than the maximum pipe diameter.
In some embodiments of this application,the multiple physical parameters include flow balance, pressure balance, pipe section flowing speed and pipe diameter value range.
Flow balance constraint: the pipe network should satisfy Kirchhoff's first law when the actual flow balance is achieved. The flow balance equation is expressed as AG=Q.
Pressure balance constraints include circuit pressure loss and user capital head loss.
In pipe section flowing speed constraints, the flowing speed constraints can be expressed as V<Vmax. (1) In pipe diameter value range constraints, engineering available maximum pipe diameter is
DN1400, and the minimum pipe diameter is DN50, d should be choosed between the maximum and minimum pipe diameter. dmin<d<dmax.
Step S104, solving the annual investment cost objective function of optimization model according to the constraints of multiple physical parameters and obtaining the optimal combination of pipe segments.
In some embodiments of this application, the optimization model of the annual investment cost objective function is solved according to the constraints of multiple physical parameters to get the optimal combination of pipe segments; specifically, the optimized pipe segments are added to the coding sequence according to the flow direction; according to the flow rate, the limit pipe diameter of each pipe section is determined and coded; filter coding scheme and convert parameter set into bit string; the initial population is randomly generated within the constraints of multiple physical parameters; calculate individual fitness value; determine whether the individual fitness value meets the convergence principle; if the individual fitness value mee$/503773 the convergence principle, it will be output as the result. If the individual fitness value not satisfies, we will perform selection,crossover and mutation operations to generate a new generation of population, and then the individual fitness value is recalculated for the new generation of population.
As shown in Fig 2, in this embodiment, genetic algorithm is adopted to calculate the annual conversion cost of pipe network system and the optimal pipe segment combination (pipe diameter combination) is selected. The basic steps are as follows: 1) adding the optimized pipe segment into the coding sequence in flow direction order; 2) determining the pipe diameter and code it according the flowing rate; 3) filtering coding and converting parameter set into bit string; 4) The initial population is randomly generated within the constraints of multiple physical parameters; 5) calculating the individual fitness value; 6) if the individual fitness value meets the convergence principle,we will perform selection, crossover and mutation operations to generate a new generation of population; 7) Continue to calculate the fitness value, and finish running the program when the population meets the goal or completes the number of iterations. If not, continue to return and re-iterate.
Through calculating the annual conversion cost of pipe network, taking pipe diameter as the optimization variable, the operator is selected by roulette.
Some specific calculation processes or contents of the above genetic algorithm are not to be described here, which are the conventional method in this field.
In some embodiments of this application, in order to improve the optimization efficiency, the method also include:
The result will be stored in the database. If the abnormal hydraulic parameters of the pipe section at the same position are detected again, the result will be used directly.
In some embodiments of this application, when we get the result, we will store it in the database. If the abnormal hydraulic parameters of the pipe section at the same position are detected again, the result will be used directly to get the optimal pipe diameter.
By applying the above technical scheme, the network distribution information is obtained, and the hydraulic network topology model is established according to the network distribution information and the principle of preset network nodes. In the modeling process, the model checking is carried out. After the checking, the topology model of the hydraulic pipe network is used to determine whether there is a pipe segment with abnormal hydraulic parameters. If there is, the pipe diameter of the pipe segment with abnormal hydraulic parameters is designed and optimized. Design optimization includes: establishing the optimization model of the annuk}503773 investment cost objective function according to multiple economic parameters, and setting the constraint conditions of multiple physical parameters, solving the optimization model of the annual investment cost objective function according to the constraints of multiple physical parameters and getting the optimal combination of pipe segments. this application determines whether there is a pipe segment with abnormal hydraulic parameters. through setting the topology model of the hydraulic pipe network. If there is,the pipe segment will be designed and optimized. Greatly improve the reliability of pipe network planning, so as to design pipe section diameter reasonably.
Through the above description of embodiments, technical person in the field can clearly understand that the invention can be realized by hardware, or by means of software and necessary common hardware platform. Based on this understanding, the technical scheme of the present invention can be manifested in the form of a software product, the software product can be stored in a non-volatile storage medium (can be a CD-ROM, U disk, mobile hard disk, etc.), including several instructions to make a computer equipment (can be a personal computer, server, or network equipment, etc.) to perform the method described in each implementation scenario of the invention.
In order to further elaborate the technical idea of the invention, the technical scheme of the invention is illustrated in combination with specific application scenarios.
The application also provides a planning system of heating network, comprising the following modules:
Building module 201,which is used to obtain the pipe network distribution information, and establish the hydraulic pipe network topology model according to the pipe network distribution information and the principle of preset pipe network nodes;
Judgment module 202, which is used to check the model in the modeling process, after the checking, determine whether there is a pipe segment with abnormal hydraulic parameters according to the topology model of the hydraulic pipe network,if there is,the pipe segment will be designed and optimized,
Setting module 203, which is used to establish the optimization model of annual investment cost objective function according to multiple economic parameter and set constraints of multiple physical parameters;
Solving module 204 is used to solve the annual investment cost objective function of optimization model according to the constraints of multiple physical parameters and obtain the optimal combination of pipe segments.
In some embodiments of this application, the building module 201 above mentioned is mainly used for: LUS03773
The locations where the pipe network crosses each other are pipe network nodes; and, the location where the pipe diameter or pipe material changes is the pipe network node; and, the location of ancillary facilities in the pipeline 1s the network node; and, the nodes near each other as the same pipe network node.
In some embodiments of this application, the judgment module 202 above mentioned is mainly used for:
Checking includes basic data checking, pipe network topology checking and model details checking;
After the above mentioned checking passed, the model checking is passed.
In some embodiments of this application, the judgment module 202 above mentioned is mainly used for:
Hydraulic parameters include flow velocity and head loss;
Under operating conditions, if there is a pipe segment whose flow velocity is outside the safe interval in the topology model of the hydraulic pipe network, there is a pipe segment with abnormal hydraulic parameters;
Under operating conditions, if there is no pipe segment whose flow velocity is outside the safe interval in the topology model of the hydraulic pipe network, there is no pipe segment with abnormal hydraulic parameters;
Where, if the water flow velocity is outside the safe interval, it means the water flow velocity exceeds the upper limit of the safe interval or is lower than the lower limit of the safe interval.
In some embodiments of this application, the judgment module 202 above mentioned is mainly used for:
When determining no pipe segment with abnormal hydraulic parameters, we should judge whether the hydraulic head loss in the hydraulic network topology model under operating conditions exceeds the threshold value.
If the hydraulic head loss exceeds the threshold value, there is pipe segment with abnormal hydraulic parameters;
If the hydraulic head loss below the threshold value, there is no pipe segment with abnormal hydraulic parameters;
In some embodiments of this application, the setting module 203 above mentioned is mainly used for:
The multiple physical parameters include flow balance, pressure balance, pipe section flowing speed and pipe diameter value range; LUS03773
The flow balance equation is obtained according to Kirchhoff's first law. The flow balance constraint conditions are constrained according to the flow balance equation. setting the constraint conditions of pressure balance including circuit pressure loss and user capital head loss; setting the constraint conditions of pipe section flowing speed is below the maximum flowing speed,
Setting the constraint conditions of pipe diameter value range is below the maximum pipe diameter and upon the minimum diameter;
In some embodiments of this application, the solve module 204 above mentioned is mainly used for: adding the optimized pipe segment into the coding sequence in flow direction order; determining the pipe diameter and code it according the flowing rate; filtering coding and converting parameter set into bit string;
The initial population is randomly generated within the constraints of multiple physical parameters; calculating the individual fitness value judging whether the individual fitness value satisfies the convergence principle
If the individual fitness value satisfies, we will output it as a result.
In some embodiments of this application, design optimization,the system also includes handling module, which is used for:
If the individual fitness value not satisfies, we will perform selection,crossover and mutation operations to generate a new generation of population, and then the individual fitness value is recalculated for the new generation of population.
In some embodiments of this application, the method also include calling module, which is used for:
The result will be stored in the database. If the abnormal hydraulic parameters of the pipe section at the same position are detected again, the result will be used directly.
The technical person in this field can understand that the modules in the system of the implementation scenario can be distributed in the system of the implementation scenario according to the description of the implementation scenario, or they can be changed and located in one or more systems different from the implementation scenario. The modules in the above implementation scenario can be combined into one module or further divided into several sub-modules.
Finally, it should be noted that the above embodiments are only to illustrate the technical proposal of this application and not to restrict it; Although the detailed description of thi§/503773 application is carried out with reference to the aforementioned embodiments, ordinary technical person in the field should understand that they may still modify the technical scheme recorded in the aforementioned embodiments, or equivalent replace some of the technical features thereof;
These modifications or replacements do not drive the essence of the respective technical solutions away from the spirit and scope of the technical solutions in each embodiment of this application.

Claims (9)

CLAIMS LU503773
1. A planning method of heating pipe network is characterized in that the method includes: The pipe network distribution information is obtained, and the hydraulic pipe network topology model is established according to the pipe network distribution information and the principle of preset pipe network nodes; In the modeling process, the model check is carried out. After the checking, the topology model of the hydraulic pipe network is used to determine whether there is a pipe segment with abnormal hydraulic parameters. If there is,the pipe segment will be designed and optimized, Design optimization includes; establishing the optimization model of annual investment cost objective function according to multiple economic parameters; solving the annual investment cost objective function of optimization model according to the constraints of multiple physical parameters and obtaining the optimal combination of pipe segments.
2. The method described in Claim 1 is characterized by the principle that the preset pipe network node includes: The locations where the pipe network crosses each other are pipe network nodes; and, the location where the pipe diameter or pipe material changes is the pipe network node; and, the location of ancillary facilities in the pipeline 1s the network node; and, the nodes near each other as the same pipe network node.
3. The method mentioned in Claim 1 is characterized by model checking during the modeling process, specifically: Checking includes basic data checking, pipe network topology checking and model details checking; After the above mentioned checking passed, the model checking is passed.
4. The method mentioned in Claim 1 is characterized by determining whether there are pipe segments with abnormal hydraulic parameters according to the topology model of hydraulic pipe network, specifically: Hydraulic parameters include flow velocity and head loss; Under operating conditions, if there is a pipe segment whose flow velocity is outside the safe interval in the topology model of the hydraulic pipe network, there is a pipe segment with abnormal hydraulic parameters; Under operating conditions, if there is no pipe segment whose flow velocity is outside the safe interval in the topology model of the hydraulic pipe network, there is no pipe segment with/503773 abnormal hydraulic parameters; Where, if he water flow velocity is outside the safe interval means the water flow velocity exceeds the upper limit of the safe interval or is lower than the lower limit of the safe interval.
5. The method mentioned in Claim 4 is characterized by determining whether there are pipe segments with abnormal hydraulic parameters according to the topology model of hydraulic pipe network, specifically: When determining no pipe segment with abnormal hydraulic parameters, we should judge whether the hydraulic head loss in the hydraulic network topology model under operating conditions exceeds the threshold value; If the hydraulic head loss exceeds the threshold value, there is pipe segment with abnormal hydraulic parameters; If the hydraulic head loss below the threshold value, there is no pipe segment with abnormal hydraulic parameters.
6. The method mentioned in Claim 5 is characterized by setting the constraint conditions of multiple physical parameters, specifically: The multiple physical parameters include flow balance, pressure balance, pipe section flowing speed and pipe diameter value range; The flow balance equation is obtained according to Kirchhoffs first law, and the flow balance constraint conditions are constrained according to the flow balance equation; setting the constraint conditions of pressure balance including circuit pressure loss and user capital head loss; setting the constraint conditions of pipe section flowing speed is below the maximum flowing speed, Setting the constraint conditions of pipe diameter value range is below the maximum pipe diameter and upon the minimum diameter.
7. The method mentioned in Claim 6 is characterized by solving the annual investment cost objective function of optimization model according to the constraints of multiple physical parameters and obtaining the optimal combination of pipe segments, specifically: adding the optimized pipe segment into the coding sequence in flow direction order; determining the pipe diameter and code it according the flowing rate; filtering coding and converting parameter set into bit string; The initial population is randomly generated within the constraints of multiple physical parameters; calculating the individual fitness value;
judging whether the individual fitness value satisfies the convergence principle; LUS03773 If the individual fitness value satisfies, we will output it as a result.
8. The method described in Claim 7 is characterized by designing optimization, method includes: If the individual fitness value not satisfies, we will perform selection, crossover and mutation operations to generate a new generation of population, and then the individual fitness value is recalculated for the new generation of population.
9. The method described in Claim 7 1s characterized by the fact that it also include: The result will be stored in the database, if the abnormal hydraulic parameters of the pipe section at the same position are detected again, the result will be used directly.
LU503773A 2022-08-22 2023-03-29 A planning method of heating pipe network LU503773B1 (en)

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