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A Method for Optimal Arrangement of Flow and Pressure Monitoring Points in Heating Pipe Network

A heat supply network and pressure monitoring technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of lack of heat supply network flow and reasonable arrangement of pressure monitoring points, etc., to improve the accuracy of the hydraulic model of the heat network , high practicability, easy to use

Active Publication Date: 2021-05-07
HARBIN INST OF TECH
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  • Abstract
  • Description
  • 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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  • A Method for Optimal Arrangement of Flow and Pressure Monitoring Points in Heating Pipe Network
  • A Method for Optimal Arrangement of Flow and Pressure Monitoring Points in Heating Pipe Network
  • A Method for Optimal Arrangement of Flow and Pressure Monitoring Points in Heating 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 a method for optimizing the arrangement of flow and pressure monitoring points of a heating pipe network, which relates to the field of central heating systems. The invention aims to solve the existing problem of lacking a method for reasonably arranging the flow and pressure monitoring points of the heating pipe network. 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, the influence degree matrix X of the resistance characteristic coefficient on the pipe flow is obtained G and the influence degree matrix X of the resistance characteristic coefficient on the nodal pressure P ;according to the matrix X G and 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 Y of the nodal pressure P ; Through the weighted entropy k-means clustering algorithm to the relative influence degree matrix Y G and Y P Carry out cluster analysis to obtain k clusters; in each cluster, the pipe segment or node corresponding to the data object closest to the cluster center is taken as the best position for arranging monitoring points. Used to arrange 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 Patents(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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