Ventilator energy efficiency optimized design method based on systematic mode identification technology

A recognition technology and system pattern technology, which is applied in the field of fan energy efficiency optimization design based on system pattern recognition technology, can solve problems such as lack of detection means, and achieve the effect of high data reliability, low cost, and simple and easy method

Inactive Publication Date: 2008-01-09
田旭东
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Problems solved by technology

At present, none of the enterprises in the ventilator industry has passed the certification, and the fan products

Method used

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  • Ventilator energy efficiency optimized design method based on systematic mode identification technology

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Embodiment Construction

[0026] Optimal Design Method of Ventilator Energy Efficiency Based on System Pattern Recognition Technology

[0027] 1. Detection process--the establishment of mathematical model and energy efficiency expert analysis system

[0028] 1. The energy efficiency value of the fan

[0029] When designing and testing the fan, use the shaft efficiency η a To characterize the energy efficiency of the fan:

[0030] n a =P u / P a

[0031] Where: P a (kW)-----fan shaft power

[0032] P u (kW)-----air power of fan

[0033] In the above formula, the shaft power of the fan is directly measured by the torque meter and the speed measuring instrument, and the air power of the fan is obtained by the following formula

[0034] P u =p tF q v / 1000

[0035] p tF (Pa)-----Full air supply pressure of fan

[0036] q v (m 3 / h)-----Measured air volume of ventilator

[0037] The air volume and total pressure of the fan can be measured by the air chamber measuring device specified in th...

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Abstract

The method uses main structure of blower fan including sizes of geometry, quantity of blade, obliquity etc. as basic parameters to establish mathematical model. Different geometric parameters as variables are changed, and real objects are manufactured for test so as to obtain a series of experimental data, which shows relation between each geometric parameter and value of energy efficiency. Using neural network tool of radial basic function (RBF) builds model library. For products of blower fan needed to modify, using the model in the model library according to structure type of blower fan, and values of geometric parameters can predict anticipant value of energy efficiency to be obtained if blower fan is manufactured according to parameters adjusted by offsets. The invention also discloses modified strategy in structure type and values of geometric parameters of blower fan. Features are: easy of implementation, low cost, and suitable to medium and minor enterprises.

Description

technical field [0001] The invention belongs to a design method of a fan, in particular to an energy efficiency optimization design method of a fan based on system pattern recognition technology. Background technique [0002] In order to improve the industrialization level of my country's ventilator industry and facilitate users to choose and use, in 1979, the General Bureau of the former Ministry of Machinery established a design working group for the standardization, generalization and serialization of ventilators (referred to as "three modernizations"), and formulated the ventilator " "Three modernizations" overall plan. The design and finalization of the "three modernizations" of fans has greatly improved the design and manufacturing level of my country's fan industry; at the same time, it has also brought convenience to the selection and use of fans. However, since the "three modernizations" design of the fan was finalized, the basic model level of the domestic centrifu...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 徐幼斌杨马英张思丹
Owner 田旭东
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