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Optimization distribution method for flow and pressure monitoring points of heat supply pipe network

A heating pipe network and pressure monitoring technology, applied in forecasting, instrument, character and pattern recognition, etc., can solve the problems of lack of heating pipe network flow, reasonable arrangement of pressure monitoring points, etc., so as to improve the hydraulic model of heating network. Accurate, easy to use, well-arranged results

Active Publication Date: 2018-07-27
HARBIN INST OF TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the existing problem of lacking a method for rationally arranging the flow and pressure monitoring points of the heating pipe network

Method used

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  • Optimization distribution method for flow and pressure monitoring points of heat supply pipe network
  • Optimization distribution method for flow and pressure monitoring points of heat supply pipe network
  • Optimization distribution method for flow and pressure monitoring points of heat supply pipe network

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specific Embodiment approach 1

[0015] Specific implementation mode one: refer to figure 1 Specifically explaining this embodiment, a method for optimizing the arrangement of flow and pressure monitoring points in a heating pipe network described in this embodiment includes the following steps:

[0016] Step 1. According to the influence of the resistance characteristic coefficient S of each pipe section in the heating pipe network on the pipe flow and node pressure, obtain the influence degree matrix X of the resistance characteristic coefficient on the pipe flow G and the influence degree matrix X of the resistance characteristic coefficient on the nodal pressure P ;

[0017] Step 2. According to the matrix X G and matrix X P Obtain the matrix Y of the relative influence degree of the relative change of the resistance characteristic coefficient on the flow rate of the pipe section respectively G and the relative change of the resistance characteristic coefficient on the relative influence degree matrix...

Embodiment 1

[0021] Assume that an ideal space heating system includes 1 heat source and 5 heat stations, and the plan and topology of the heating pipe network are as follows: figure 2 and image 3 As shown, the numbers in the brackets indicate the return water nodes, and the numbers outside the brackets indicate the water supply nodes. The heating pipe network has 18 nodes and 26 pipes in total, that is, n=17, b=26. The design and operating parameters of the heating pipe network are shown in Table 1. The characteristic equation of the circulating water pump is dh=-0.3125g 2 +100g+9.42×10 5 , where dh is the head of the pump, Pa; g is the circulation flow of the pump, t / h.

[0022] Table 1 Design and operation parameters of heating pipe network

[0023]

[0024] According to the design and operation parameters of the heating pipe network in Table 1, calculate the relative influence matrix Y of the relative change of the resistance characteristic coefficient on the flow of the pipe...

specific Embodiment approach 2

[0025] Specific embodiment 2: This embodiment is to further explain the method for optimizing the layout of flow and pressure monitoring points of a heating pipe network described in specific embodiment 1. In this embodiment, in step 1, the resistance characteristic coefficient is obtained for the pipe section Traffic influence matrix X G and the influence degree matrix X of the resistance characteristic coefficient on the nodal pressure P The specific process:

[0026] Assuming that a heating pipe network has n+1 nodes and b pipe sections, the identification model of the resistance characteristic coefficient of the heating pipe network is expressed as:

[0027]

[0028] In the formula, A is the basic correlation matrix, n×b matrix, A T is the transposition matrix of the basic correlation matrix, b×n matrix, G is the column vector of pipe mass flow rate, b×1 column vector, G diag is the diagonal matrix of the mass flow rate of the pipe section, b×b diagonal matrix, Q is ...

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Abstract

The invention discloses an optimization distribution method for flow and pressure monitoring points of a heat supply pipe network and relates to the field of central heating systems. The method aims at solving the problem that in the prior art, a method for reasonably distributing the flow and pressure monitoring points of the heat supply pipe network lacks. The method comprises the steps that according to the influence of resistance characteristic coefficients S of all pipe segments of the heat supply pipe network on the flow and node pressure of the pipe segments, an influence degree matrixXG of the resistance characteristic coefficients on the flow of the pipe segments and an influence degree matrix XP of the resistance characteristic coefficients on node pressure are acquired; according to the matrices XG and XP, a relative influence degree matrix YG of the relative change of the resistance characteristic coefficients on the flow of the pipe segments and a relative influence degree matrix YP of the relative change of the resistance characteristic coefficients on the node pressure are acquired separately; through a weighting entropy k mean-value clustering algorithm, the relative influence degree matrices YG and YP are subjected to clustering analysis to acquire k clustering clusters respectively; for each clustering cluster, a pipe segment or node corresponding to a data object closest to the center of the cluster is used as an optimal position for distributing the monitoring points. The optimization distribution method is used for distributing the monitoring points.

Description

technical field [0001] The invention relates to a method for optimally arranging flow and pressure monitoring points of a heating pipe network. It belongs to the field of central heating system. Background technique [0002] Calculation of hydraulic conditions of heating pipe network is the basis for operation optimization and fault diagnosis of heating system. Obtaining an accurate hydraulic model of the heating network requires monitoring all nodes and most of the pipe sections of the heating network. Due to the characteristics of large scale and complex structure of the heating system, the above-mentioned arrangement of monitoring points requires a huge initial investment cost, which is not feasible in actual projects. Through the optimal layout of the monitoring points of the heating network, the use of as few representative monitoring points as possible to reflect the actual operating status of the heating network as much as possible is very important for improving th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62G06Q10/06G06Q50/26
CPCG06Q10/043G06Q10/06393G06Q50/26G06F18/23213
Inventor 周志刚薛普宁刘京方修睦
Owner HARBIN INST OF TECH
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