Tunnel ventilation control method based on fuzzy control

Abstract

The invention discloses a fuzzy-control-based method for controlling ventilation of tunnels, which is characterized in that a first fuzzy controller and a second fuzzy controller respectively output a first blower quantity value and a second blower quantity value, the number of blowers which need to be turned on is obtained by choosing the bigger one of the first blower quantity value and the second blower quantity value; the input quantity of the first fuzzy controller is the current concentration of carbon monoxide and the current concentration increment thereof; the input quantity of the second fuzzy controller is the current smoke concentration and the current smoke concentration increment. The method of the invention does not depend on mathematical modeling of the controlled object and can realize intelligent control of tunnel ventilation based on the fuzzy control.

Description

technical field [0001] The invention belongs to the technical field of electronics and instruments, and relates to a tunnel ventilation control method based on fuzzy control. Background technique [0002] With the development of social economy, more and more tunnels are built, and the longer they are built, the mechanical ventilation must be considered for medium-long tunnels and extra-long tunnels. However, the high construction and operating costs of the ventilation system make tunnel ventilation one of the key issues to be solved in the construction of highway tunnels. For the operation ventilation of long highway tunnels, foreign countries have basically evolved from full-horizontal or semi-horizontal ventilation to longitudinal ventilation since the 1980s and domestically since the 1990s. At present, longitudinal ventilation has become the mainstream of ventilation for long highway tunnels in my country. form. In terms of ventilation control, compared with horizontal v...

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Problems solved by technology

Although the combination control method has many advantages in theory, for the strong nonlinear system of highway tunnel ventilation, the difficulty and accuracy of mathematical model establishment have become the biggest obstacle to this method, and this method has not been effectively and widely used in our country.

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