JPH08277700A - Ventilation control evaluating device for road tunnel - Google Patents

Abstract

PURPOSE: To quantitatively judge the quality of tunnel ventilation control. CONSTITUTION: A ventilation control device controls the number of operated ventilation fans (JF) based on the measured values of the traffic quantity (TC), smoke transmission factor (VI), carbon monoxide concentration (CO), and wind direction and wind velocity (WS). The measured values Vl, CO, WS, TC, JF and the control arithmetic result are stored in a memory section 13 storing and updating them as time-series data. A control evaluation section 15 judges the quality of the measured values from the membership functions of VI, CO, WS, TC, JF from a fuzzy rule base 14 based on the time-series data. A fuzzy rule table for quantitative evaluation based on the quality as conditions is used to evaluate the control.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a ventilation control evaluation device for a road tunnel, which evaluates the control status of a ventilation control device for a tunnel which automatically controls the pollution concentration of the road tunnel so as not to exceed an allowable value.

[0002]

2. Description of the Related Art In a road tunnel, exhaust gas emitted from a passing vehicle is accumulated in the roadway, and there is a danger of passing due to a reduction in visibility mainly due to smoke produced by a diesel vehicle. Carbon monoxide (CO) emitted
It has a bad effect on the human body. In a short extension tunnel, pollutants are discharged outside the tunnel due to the traffic ventilation (piston effect) generated by the passing vehicle itself, and mechanical ventilation is not required in a long extension tunnel. It is sufficient, and a ventilator is installed and forced ventilation by mechanical ventilation is required.

FIG. 5 shows an example of the structure of a road tunnel in which forced ventilation is performed. 1 is a tunnel, 2 is a jet fan, 3 is an anemometer (WS meter), and 4 is a carbon monoxide concentration meter (CO). 5) is a smoke transmission meter (VI meter), and 9 is an automobile.

FIG. 6 shows a configuration example of a ventilation control device for a road tunnel. 3a, 4a and 5a are W measured by a WS meter 3, a CO meter 4 and a VI meter 5 installed in the tunnel.
S value, CO value, VI value, 6a are measured traffic volumes measured by a traffic meter (not shown) installed in front of the tunnel, 21 is a control cycle (volume in tunnel / wind speed, using sampling value of WS value 3a). ) Control period calculation unit for calculating.

Numeral 22 predicts the traffic volume in the tunnel from the large number and the small number of the measured traffic volume 6a, and (predicted traffic volume per hour) × (control cycle from the calculation unit 21) is the control cycle of the predicted traffic volume. Traffic volume predictor that calculates the converted value, 2
An averaging circuit 3 averages the sampling values of the VI value 5a.

Reference numeral 24 is a calculation unit for calculating a difference between the VI average value from the averaging circuit 23 and the target VI value, and 25 is a calculation unit 24 for calculating the control cycle conversion value of the predicted traffic volume from the traffic volume prediction unit 22.
Ventilation amount corrected by the difference value from the target VI value from V is output as the JF control calculation result, and 26 is the above V
A VI / CO emergency interrupt control unit that outputs an interrupt control amount when the sampling value of the I value 5a becomes abnormally high, and 27 is a JF control calculation result from the ventilation amount calculation unit 25 via the control changeover switch 51. Alternatively, the JF control unit controls the number of JF operating units according to the interrupt control amount from the emergency interrupt control unit 26.

The purpose of ventilation control of a road tunnel is to provide the user with a comfortable environment. In other words, a comfortable environment for the user is that the visibility is secured and the concentration of gas harmful to the human body is equal to or lower than the reference value. In order to secure the visibility, the VI meter (smoke emission rate meter) and the carbon monoxide concentration are measured by the CO meter, which is used as a condition for determining the operating amount of the ventilator based on this value. In addition, depending on the tunnel, feedforward control is also performed in which a traffic counter (traffic meter) installed in front of the tunnel predicts the amount of pollution in advance and operates the ventilator in advance.

Here, in actual ventilation control, it is required to provide the user with a safe environment with the minimum required electric power, and it is natural that the ventilation machine is operated too small. Generally, it is required to limit even excessive driving for the purpose of saving. Further, from the viewpoint of protecting the ventilator, it is also necessary to reduce the frequency of starting and to reduce mechanical fatigue as much as possible. In other words, there is a need for control that can satisfy all the contradictory requirements. Items required for ventilation control are summarized as follows.

(1) The visibility is good.

(2) The harmful gas is in a range that does not affect the human body.

(3) To reduce power consumption.

(4) To reduce the frequency of starting the ventilator.

[0013]

In the ventilation control of a road tunnel, it is required to provide a user with a comfortable environment by using the minimum required electric power. However, since this purpose is a completely contradictory condition, it is possible to quantitatively evaluate each control purpose (evaluation target), but it is not possible to quantitatively determine whether control is performed to obtain overall satisfaction. There was a problem that it was difficult to evaluate. Therefore, it is necessary to analyze the operation status of the control, compare it with the individual requirements, and modify the control method to perform artificial work. In addition, comprehensive evaluation often depends on human sensory judgment, and there is no means for quantifying evaluation.

The present invention has been made in view of the above-mentioned conventional problems, and an object of the present invention is to ventilate a road tunnel capable of quantitatively determining the quality and the quality of ventilation control. It is to provide a control evaluation device.

[0015]

In order to achieve the above object, a ventilation control evaluation device for a road tunnel according to the present invention is provided with a tunnel ventilation control device, in which the smoke transmission rate in a tunnel, carbon monoxide concentration, wind direction and wind speed. The measurement values of the respective sensors that measure such as, and storage means for storing and updating the control calculation results obtained from these measurement values and traffic volume in time series data, and based on the stored time series data, each sensor It comprises each membership function for each physical quantity and traffic volume to be measured, and the number of operating fans, and means for evaluating control by a table of fuzzy rules for obtaining control evaluation.

[0016]

The control calculation result and the measured value are fetched from the storage means, the membership function is used to perform the evaluation calculation for each evaluation item, and the fuzzy rule table for obtaining the control evaluation is used for each evaluation item. Comprehensive control evaluation is performed from the evaluation calculation result of.

[0017]

Embodiments of the present invention will be described with reference to the drawings. The embodiment is to evaluate the control of the ventilation control device of FIG. 6 described in the conventional art. FIG. 1 shows the configuration of the evaluation device. 2a is a detected value of the number of operating ventilation jet fans (JF) installed in the tunnel, 3a, 4a,
5a is a wind direction anemometer installed in the tunnel, a wind direction wind speed (WS) value, a carbon monoxide concentration (CO) value, and a smoke soot permeability (VI) value measured by a carbon monoxide concentration meter and soot permeability meter. 6a
Is the traffic volume (TC) value of the vehicle measured by the traffic meter installed on the road at the tunnel entrance side, 11 is the WS value 3a, CO
A first input value processing unit that takes in the values 4a and VI values 5a and calculates respective average values, 12 is a second input value processing unit that integrates TC values, and 13 is an input value processing unit 11 and 12
A storage unit that stores and updates the measured values of WS, CO, VI, and TC processed in step 3, the detected value of the JF operating number, and the JF control calculation result from the ventilation amount calculation unit 25 (FIG. 6) of the ventilation control device as time series data. , 14 is a fuzzy rule base, and 15 is a control evaluation unit that evaluates control based on the time-series data stored in the storage unit 13.

Next, a fuzzy calculation example of the control evaluation unit 13 will be described. Data to be used for fuzzy inference is preset in the fuzzy rule base 14. One of them is the membership function. In the example, VI
Values, CO values, WS values, TC values, and JF operating numbers are defined respectively.

FIG. 2 shows an example of each membership function.
In the same figure, (A) is a membership function for the VI value (smoke permeability value), the horizontal axis shows the VI value, and the vertical axis shows the degree of establishment of the membership function. Also, five fuzzy sets are defined in the membership function of this VI. The meaning of each fuzzy label is as follows.

B: Deterioration G: Good BG: Very good For example, when VI value = 60%, G of membership function
Belong to the group and have a satisfaction rate of 1.0, and VI value = 40%
In the case of, the membership functions belong to B and G, and B is 0.8 and 0.8G is 0.1. Such membership functions are also CO, WS, TC, JF
Is similarly defined as shown in FIGS.

FIG. 3 shows a table of agreements (fuzzy rules) for obtaining the control evaluation. This table uses VI, CO, WS, TC, and JF as the condition parts,
The conclusion part (control evaluation) grade is obtained. The evaluation (grade) of the conclusion part is obtained from the combination condition of the fuzzy label corresponding to the input value from the condition part. FIG. 4 shows the membership function of the control evaluation (grade) of the conclusion part.

The control evaluation unit 15 fetches the VI, CO, WS, TC, and JF data of each evaluation item from the storage unit 13, and the VI, CO, WS, and T of the fuzzy rule base 14 are fetched.
An evaluation calculation for each evaluation item is performed using the membership functions of C and JF, and a comprehensive control evaluation is performed from the evaluation calculation result for each evaluation item using a fuzzy rule table.

The process of fuzzy inference for obtaining the conclusion part from the condition part belongs to the publicly known technology such as the Mamdani's min-max-CG method. The control evaluation can be quantitatively calculated from the evaluation value (grade) obtained by the above inference. Further, the rule table of FIG. 3 is for making human senses and experiences into knowledge, and is the most suitable for using fuzzy reasoning.

[0024]

Since the road tunnel ventilation control evaluation apparatus of the present invention is configured as described above, it is possible to obtain a quantitative evaluation value, and therefore the quality and the quality of ventilation control are quantitatively judged. It becomes possible.

[Brief description of drawings]

FIG. 1 is an explanatory diagram of a configuration of a ventilation control evaluation device according to an embodiment.

2A to 2E are diagrams showing membership functions.

FIG. 3 is a rule table for obtaining a control evaluation.

FIG. 4 is a diagram showing a membership function of a conclusion part (control evaluation).

FIG. 5 is an explanatory diagram of the configuration of a road tunnel.

FIG. 6 is an explanatory diagram of a configuration of a road tunnel ventilation control device.

[Explanation of symbols]

 1 ... Road tunnel 2 ... Ventilation jet fan (JF) 2a ... Jet fan operating unit detection value (JF value) 3 ... Wind direction wind speed (WS) meter 3a ... Wind direction wind speed measurement value (JF value) 4 ... Carbon monoxide concentration meter (CO meter) 4a ... Measured value of carbon monoxide concentration (CO value) 5 ... Measured value of smoke transmission rate (VI) 5a ... Measured value of smoke transmission rate (VI value) 6a ... Measured traffic volume 11, 12 ... Input value processing Part 13 ... Storage part 14 ... Fuzzy rule base 15 ... Control evaluation part 27 ... Jet fan (number) control part

Claims (1)

[Claims] 1. Measured traffic volume and smoke transmission rate in a tunnel,
A control status evaluation device for a ventilation control device that performs a fan ventilation fan calculation for tunnel ventilation from the measured values of each sensor that measures carbon monoxide concentration, wind direction wind speed, etc. Storage means for storing and updating the control calculation result and the measured value from each sensor as time series data, based on the time series data stored by the storage means, for the physical quantity and the traffic volume fan operating number measured by each sensor, An apparatus for evaluating ventilation control of a road tunnel, comprising: each membership function; and means for evaluating control by a fuzzy rule table for obtaining control evaluation.