Heating pipe network hydraulic simulation model identification correction method and system, method of operation

A technology of heating pipe network and simulation model, which is applied in computational model, biological model, design optimization/simulation, etc., can solve the problem that the hydraulic simulation model of heating pipe network cannot accurately describe the operation of the pipe network.

Inactive Publication Date: 2017-05-17
CHANGZHOU ENGIPOWER TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for identifying and correcting the hydraulic simulation model of the heating pipe netwo

Method used

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  • Heating pipe network hydraulic simulation model identification correction method and system, method of operation
  • Heating pipe network hydraulic simulation model identification correction method and system, method of operation
  • Heating pipe network hydraulic simulation model identification correction method and system, method of operation

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Embodiment 1

[0083] like figure 1 As shown, a method for identifying and correcting a hydraulic simulation model of a heating pipe network according to the present invention includes the following steps:

[0084] Step S1, selecting multiple sets of measured data of the heating system under steady-state conditions;

[0085] Step S2, calculating the theoretical value of the resistance coefficient of each pipe section; and

[0086] In step S3, a hydraulic simulation model of the heating pipe network is established, and a particle swarm algorithm is used in conjunction with multiple sets of measured data to identify and calculate the correction amount of each resistance coefficient, and obtain the corrected resistance coefficient.

[0087] Further, the step S1 selects multiple sets of measured data of the heating system under steady-state working conditions and selects multiple sets of measured data according to the historical operating condition data of the heating network. The historical op...

Embodiment 2

[0138] On the basis of Embodiment 1, Embodiment 2 provides a system for identifying and correcting a hydraulic simulation model of a heating pipe network, including:

[0139] The particle swarm algorithm unit generates particles corresponding to the drag coefficient correction vector of each generation, writes the particles into the database, and reads the objective function value of each particle;

[0140] The objective function calculation unit establishes the objective function for the identification of the correction value of the resistance coefficient, drives multiple hydraulic simulation models of the heating pipe network, that is, generates N simulation models for parallel simulation calculation, and obtains particles from the database, and calculates through the simulation model The objective function value of the particle is written back to the database.

[0141] The database unit stores the population of the drag coefficient correction vector and the objective functi...

Embodiment 3

[0151] On the basis of embodiments 1 and 2, this embodiment 3 provides an operation method for the identification and correction system of the hydraulic simulation model of the heating pipe network in embodiment 2, including the following steps:

[0152] Step Sa, establishing a topology model of the pipeline network to be identified, so as to generate a unique identification ID of each component of the pipeline network;

[0153] Step Sb, the preparatory work of obtaining the actual measurement data of the working conditions and calculating the theoretical value of the drag coefficient;

[0154] Step Sc, setting the algorithm parameters in the particle swarm optimization unit and starting the unit;

[0155] Step Sd, start the objective function calculation unit.

[0156] The preparatory work in the step Sb includes: correspondingly sorting the ID of the pipe section to be identified and the theoretical value of the resistance coefficient into a configuration file for the PSO u...

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Abstract

The invention relates to a heating pipe network hydraulic simulation model identification correction method and a system. The heating pipe network hydraulic simulation model identification correction method comprises the steps of S1, selecting multiple groups of actually measured data of a heating system under steady work conditions, S2, calculating theoretical values of the drag coefficient of all pipe section, and S3, establishing a hydraulic simulation model of heating pipe network, using particle swarm optimization method accompanied by multiple groups of actually measured data, identifying and calculating various resistance coefficient correction amount vectors, and through the various resistance coefficient correction amount vectors in the heating pipe network hydraulic simulation model, making the comparison between the flow conditions and the actual measured data under multiple working conditions, identifying the optimal resistance coefficient correction amount. The corrected model can better describe the actual physical system, and increase the calculation precision of the hydraulic calculation of heating pipe network. The application of a parallel computing architecture for the implementation for the identification of the particle swarm algorithm drag coefficient correction with high identification efficiency.

Description

technical field [0001] The invention belongs to the field of heat supply, and in particular relates to a method, system and operation method for identifying and correcting a hydraulic simulation model of a heat supply pipe network. Background technique [0002] Establishing a hydraulic simulation model that conforms to the operating characteristics of the actual heating network is an important basis for realizing intelligent management of the heating network. With the increasing scale of heat supply and the increasingly complex network structure, it becomes more and more difficult to establish a strict and accurate hydraulic simulation model of the heat supply network. Generally, parameters such as the connection structure and node elevation of the pipeline network are relatively easy to obtain, but the resistance characteristics of the pipeline are affected by various physical parameters and change with time. The theoretical resistance characteristics obtained through stric...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/00
CPCG06F30/20G06N3/00
Inventor 于春娣方大俊瞿广峰
Owner CHANGZHOU ENGIPOWER TECH
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