Express highway section multi- tunnel gathering type intelligent aeration control method

A technology of expressway and control method, applied in mine/tunnel ventilation, earthwork drilling, mining equipment, etc., can solve the problems of unsatisfactory ventilation control effect, easy fluctuation of fans, shortened service life of fans, etc., to achieve ventilation control The effect is improved, the ventilation control effect is good, and the service life is improved

Active Publication Date: 2008-08-06
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, due to the large changes in the concentration of pollutants in the tunnel, this control method is prone to fluctuations in the control of the fan, that is, frequent start and stop, which not only consumes a large amount of electric energy, but also shortens the service life of the fan. Time delay, it is inevitable

Method used

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  • Express highway section multi- tunnel gathering type intelligent aeration control method
  • Express highway section multi- tunnel gathering type intelligent aeration control method
  • Express highway section multi- tunnel gathering type intelligent aeration control method

Examples

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Example Embodiment

[0044] Example

Example Embodiment

[0045] Figure 1 shows that a specific implementation of the present invention is:

[0046] A multi-tunnel integrated intelligent ventilation control method for expressway sections. In each tunnel, the vehicle detector CT, smoke concentration / carbon monoxide detector VI / COT, and wind speed detector WST are used to separately measure the traffic flow, smoke and carbon monoxide in the respective tunnels. The concentration and wind speed are tested, and the data processing and control system controls the on or off state of the jet fan JF in the tunnel according to the test results.

[0047] According to the test results, the data analysis and control system controls the on-state of the jet fan JF in the tunnel as follows:

[0048] The first tunnel:

[0049] A1. Traffic flow prediction: The data processing and control system receives the traffic flow q measured by the current control cycle of the tunnel 1t , Combined with the traffic flow q of the last control cycle of the tunnel 1(t-1...

Example Embodiment

[0080] Example two

[0081] This embodiment is basically the same as the first embodiment, except that the prediction method of the traffic flow of the third and subsequent tunnels is the same as the prediction method of the second tunnel. That is, the second, third and subsequent tunnels are calculated according to the following formula:

[0082] q m(t+1) =α m ·Q (m-1)t +β m ·Q mt +γ m ·Q m(t-1)

[0083] Where α m , Β m , Γ m Q (m-1)t , Q mt , Q m(t-1) The weighting coefficient satisfies α m +β m +γm=1. m=2, 3, 4...M, respectively representing the second, third, fourth...Mth tunnel.

[0084] That is to say, the traffic flow prediction of the third, fourth and later tunnels in this example only considers the influence of the previous tunnel, and does not consider the influence of the previous (first two) tunnels. The prediction calculation is simpler, but the accuracy is Lower.

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Abstract

The invention relates to a multi-tunnel assembling-type intelligent ventilation control method of expressway section, which comprises utilizing a continuity character that expressway traffic flow passes through a plurality of tunnels on sections in turn, an antecedence tunnel dopes out traffic flow data and contaminant concentration of a next control periodic time according to actual measured traffic flow and contaminant concentration data, a subsequent tunnel predicts traffic flow data and contaminant concentration of a next control periodic time of the subsequent tunnel according traffic flow of current control cycle of antecedence tunnel and the actual measured traffic flow and contaminant concentration data of the tunnel, and each tunnel controls the starting times of fans according predicted value of contaminant through adopting a model of intelligent fuzzy reasoning. The method can more accurately beforehand predict concentration variation of traffic flow, smog and carbon monoxide in adjacent tunnels, thereby beforehand and accurately controlling starting amount of a jet fan, the control method has excellent ventilation control effect, which can simultaneously reduce energy consumption, and can improve service span of fans.

Description

technical field [0001] The invention relates to a control method for a highway tunnel ventilation system, in particular to a control method for a plurality of tunnel ventilation systems on an expressway section. Background technique [0002] The control methods of highway tunnel ventilation system mainly include: fixed program control and feedback control. The fixed program control method does not consider changes in smog, carbon monoxide concentration, and traffic volume, but pre-programs the operation of fans according to time intervals (such as day and night, holidays and normal times). This method cannot adapt to changes in traffic flow. It is mainly used in the ventilation control of municipal highway tunnels. The feedback control method is to directly detect the smoke concentration and CO concentration value emitted by driving vehicles through the smoke transmittance sensors and carbon monoxide concentration sensors distributed at various points in the tunnel, and cal...

Claims

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Application Information

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IPC IPC(8): E21F1/00E21F1/08
Inventor 何川王明年曾艳华方勇张玉春郭春
Owner SOUTHWEST JIAOTONG UNIV
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