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Tunnel intelligent ventilating control method

A control method and intelligent controller technology, applied in mine/tunnel ventilation, earthwork drilling, mining equipment, etc., can solve the problems of lagging ventilation control, unclear effect, single control means, etc.

Active Publication Date: 2017-10-24
CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current ventilation control method usually uses time period and experience as the basis for judgment, and adopts the number control method to turn on or off the entire jet fan; this method has lagging ventilation control, single control means, low operating efficiency and unknown effect, and high energy consumption. Not in line with the development trend of the transportation industry

Method used

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  • Tunnel intelligent ventilating control method
  • Tunnel intelligent ventilating control method
  • Tunnel intelligent ventilating control method

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0063] Example 1: The principle and calculation process of the first fuzzy intelligent controller are explained below.

[0064] Establish the first fuzzy intelligent controller with two inputs and three outputs. The input of the first fuzzy intelligent controller is the deviation e of the CO concentration and the deviation change rate ec, and the output is the PID parameters KP, Ki and Kd. Then the output data is adjusted through PID adaptively to change the output frequency of the inverter power supply to regulate the fan The operating speed ensures that the CO concentration in the highway tunnel is within the allowable range.

[0065] Using the formula of discretized digital PID:

[0066]

[0067] Where: u(k)——the output control quantity of the controller at the kth sampling time;

[0068] e(k)——The deviation value at the kth sampling;

[0069] K p ——Proportional gain;

[0070] K i ——Integral gain;

[0071] K d -Differential gain.

[0072] Find out the 3 parameters K of the controller ...

example 2

[0115] Example 2: The principle and calculation process of the second fuzzy intelligent controller are explained below.

[0116] The design density of smoke and dust indicates the degree of pollution of smoke and dust to the air, which is determined by measuring the light transmittance of smoke and dust at a distance of 100m in the polluted air. It is also called 100m transmittance, which is an indicator of visibility in the cave.

[0117] Similar to the first fuzzy intelligent controller, the smoke and dust design density K is 0.005-0.0075m -1 . May wish to set the smoke and dust design concentration to 0.0055m -1 .

[0118] 1) Set the input and output variable universe and the membership function of the fuzzy subset

[0119] The soot concentration deviation is defined as: e=σ-C

[0120] In the formula: σ——design density of smoke and dust (m -1 ); C——measured soot concentration (m -1 ).

[0121] The actual concentration range of soot during the operation of the fan is [m-n, m+n]m -1 , ...

example 3

[0127] Example 3: The principle and calculation process of the third fuzzy intelligent controller are explained below.

[0128] Calculate the required air volume of the tunnel ventilation system according to the actual traffic volume, compare it according to the CO and VI working conditions, take the maximum value of the two as the required wind speed to control the wind speed in the tunnel, that is, the required wind speed value of the tunnel is the CO ventilation wind speed value and VI The larger value of the ventilation wind speed value is expressed by the formula: Vneed=max(Vco,Vvi).

[0129] Comparing the measured wind speed with the calculated V needs to be compared. If V needs to be ≤ V real, then the fan does not need to be turned on; if V needs to be> V real, the fan is controlled to operate at the required wind speed.

[0130] Under the working condition of V demand>V real, let x=V demand and y=V real. x takes (0~5)m / s, y takes (-5~x)m / s. Establish a two-input and three-...

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Abstract

The invention discloses a tunnel intelligent ventilating control method. Corresponding deviation and a deviation change rate are calculated through the pollutant concentration, the wind speed and the traffic volume parameters fed back by a field detector, then the values of a proportionality coefficient Kp, an integral action coefficient Ki and a derivative action coefficient Kd are regulated according to a preset fuzzy control rule, the control frequency of a frequency converter is obtained through PID operation, a jet fan is controlled to convert frequency and operate, the ventilation environment in velocity modulation is rapidly changed, the pollutant concentration and the wind speed parameters are circularly fed back, the current control frequency is continuously calculated and output, and demand ventilation is achieved.

Description

Technical field [0001] The invention relates to the field of tunnel engineering, in particular to a tunnel intelligent ventilation control method. Background technique [0002] With the continuous development of highways in my country, highway construction continues to expand to mountainous areas, highways, especially highway tunnels, are more and more long. Since the tunnel is a relatively closed area, the exhaust gas emitted by a car when driving in it is not diffused into the atmosphere with natural wind and traffic wind as it does when driving in other road sections. Especially for long-distance tunnels with large traffic volume, natural wind and traffic wind have poor ability to replace the air in the tunnel, so mechanical ventilation must be adopted, otherwise the carbon monoxide, nitrogen oxides, hydrocarbons, and sulfurous acid gas emitted by the car Hazardous substances such as smoke and dust will cause air pollution in the tunnel. When the mass concentration of CO is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21F1/00E21F17/18
CPCE21F1/003E21F17/18
Inventor 张琦刘勇李科邹洋陈豪向乐左远正廖志鹏蒋犁潘勇
Owner CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
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