JPH03244800A - Ventilation control device for road tunnel - Google Patents

Abstract

PURPOSE:To save a given power by a method wherein fuzzy inference is made on a target value of a control amount based on a detecting value in a road tunnel of a physical quantity having a correlation with a control amount and a present time, and a ventilating means is controlled based on the target value of the control amount. CONSTITUTION:An inference means 4 comprises a predicting part 4a, memory parts 4b and 4c, and an inference computing part 4d. The predicting part 4a calculates a traffic amount available when it is a given time before a present time, and based on the calculated data and traffic amount pattern data, a traffic amount available when it is given time after a present time is predicted. A rule used for fuzzy inference is stored in the memory part 4b, and a membership function is stored in the memory part 4c. It is decided by a control target value deciding means 6 whether or not a control target value on which fuzzy inference is made by the inference means 4 is employed as an actual target value. Optimum operation combination of a ventilating means 8 is calculated and controlled.

Description

[Detailed description of the invention] [Purpose of the invention] (Industrial application field) The present invention relates to a ventilation control device for a road tunnel.

(Prior art) In road tunnels, the light transmittance (
It is also necessary to maintain the concentration of pollutants such as carbon monoxide (CO) in the exhaust gas below the permissible value, and to maintain the concentration of pollutants in the tunnel below the permissible value. Mechanical ventilation is provided using dust collectors, blowers/exhaust fans, etc.

The ventilation process of a contracted flow tunnel is generally described using a distributed constant system, and is a complex process with many uncertainties, including minute-by-minute fluctuations in traffic volume and natural conditions, which are disturbances to the process.

Furthermore, there is a certain pattern in the rough fluctuations in traffic volume on -day. For example, as shown in FIGS. 5(a) and 5(b), at night the number of large vehicles passing through the area, which spreads a lot of soot and smoke, increases, while the number of small vehicles drastically decreases. As the sun rises, the number of small cars passing by increases, and the distance between vehicles remains relatively stable during the day.

In conventional ventilation control in tunnels where traffic volume fluctuates in this way, the control target values for Vl and CO are determined by publicly set tolerance values and certain operational standards set by the operator (
(see FIGS. 6(a) and 6(b)). It is also possible to use the steady expected value of VI9CO as the control target value, which is used when calculating the optimal operating combination of ventilators that satisfies the service level with the minimum required power. The values of VI and CO were also fixed values.

(Problem to be solved by the invention) Therefore, in conventional ventilation control, in order to control the detected values of Vl and CO so that they do not deviate from the allowable values even during periods of heavy traffic, was set with ample margin, and there was a tendency for excessive ventilation.

The present invention has been made in consideration of the above circumstances, and an object of the present invention is to provide a ventilation control device for a road tunnel that can reduce the required power, that is, save energy as much as possible.

[Structure of the invention]

(Means for Solving the Problems) The present invention is used in a road tunnel where ventilation is performed by a ventilation means, and includes a control means for controlling the ventilation means so that the detected value of the control amount in the road tunnel becomes a target value. A ventilation control device for a road tunnel equipped with an inference means for fuzzy inferring a target value of the control amount based on a detected value in the road tunnel of a physical quantity that has a correlation with the control amount and the current time; It is determined based on a predetermined rule whether or not to adopt the fuzzy inference target value of the controlled variable as the actual target value, and if it is not adopted, the current target value of the controlled variable is output, and if it is adopted, fuzzy inference is performed. and determining means for outputting a target value of the controlled variable, and the control means controls the ventilation means based on the target value of the controlled variable that is the output of the determining means.

(Function) According to the road tunnel ventilation control device of the present invention configured as described above, the target value of the controlled variable is determined based on the detected value in the road tunnel of the physical quantity that has a correlation with the controlled variable and the current time. is fuzzy inferred by the inference means. and,
The determining means determines whether this fuzzy-inferred target value of the controlled variable is adopted as the actual target value based on a predetermined rule, and if it is not adopted, the current target value of the controlled variable is output from the determining means. and if adopted, the fuzzy inferred target value of the control amount is output from the determining means. The ventilation means is controlled by the control means based on the output of the determination means.

As described above, by changing the target value of the control amount in accordance with the physical quantity having a correlation with the control amount, it is possible to reduce the required power as much as possible, that is, to save energy.

(Embodiment) FIG. 1 shows the configuration of a first embodiment of a ventilation control device for a road tunnel according to the present invention. The ventilation control device of this embodiment includes a soot mist transmittance (hereinafter also referred to as VI) measuring means 1, a COa
The present invention is used in a road tunnel 10 which includes a traffic volume measuring means 2, a traffic volume measuring means 3, an inference means 5, a control target value determining means 6, and a control means 7, and has a ventilation means 8 such as a jet fan.

The inference means 4 includes a prediction unit 4a and storage units 4b and 4c.

and an inference calculation section 4d. The prediction unit 4a integrates the traffic volume a predetermined time (for example, 30 minutes to 60 minutes) before the current time based on the data of the traffic volume by vehicle type for each up and down line measured by the traffic volume measuring means 3, and Based on the accumulated data and traffic pattern data, the traffic volume after a predetermined time (for example, 30 minutes to 60 minutes) is predicted. In addition,
As the traffic volume pattern data, for example, data obtained by smoothing the traffic volume data of the previous day is used. Storage section 4b
The rules used for fuzzy inference are stored in the storage section 4C, and the membership functions are stored in the storage section 4C. The inference calculation unit 4d uses the rules and membership functions stored in the storage units 4b and 4c based on the traffic volume predicted by the prediction unit 4a to determine the target values of Vl and CO/a degree, which are control quantities, that is, control Perform fuzzy inference on the target value.

The control target value determining means 6 determines whether or not the control target value fuzzy-inferred by the inference means 4 is to be adopted as the actual target value at a predetermined period (for example, from 3 to 3) based on a predetermined rule.
If it is not adopted, the current target value of the control x is output, and if it is adopted, the fuzzy-inferred target value of the control amount is output. Note that the above-mentioned predetermined rules are as follows, taking as an example the case where the VI control target value is changed.

1) When increasing the Vl control target value Rule R1...If the traffic volume is more than a vehicle/hr or the heavy traffic ratio (ratio of the total traffic volume in the ventilation direction) is less than 5, increase the Vl control target value. change.

Rule R2: Do not change the Vl control target value until one hour has passed since the previous Vl control target value change time.

2) When lowering the Vl control target value Rule R3: Change the VI control target value if the traffic volume is less than C vehicles/hr or the heavy traffic ratio is greater than or equal to d.

Rule R4...1 from the previous VI control target value change time
The VI control target value cannot be changed until the time has elapsed.

Rule R5: Do not change the control target value during traffic congestion.

Note that a, b, c, and d are constants.

The control means 7 determines ref" based on the output of the control target value determining means 6, that is, the control target value VI Co
re "Measured value of Vl or greater than VXref and calculated value of CO or C
The optimal operating combination of the ventilation means 8, that is, the bed fan, etc. is calculated and controlled so that the temperature becomes 0ref or less.

Next, an example of inference by the inference means 4 will be explained. Note that only the inference of the Vl control target value will be explained, or the CO control target value can be inferred in the same manner. The following rules stored in the storage unit 4b are used for the inference.

Ruled: If the traffic volume is large and the time is such that the VI control target value should have some margin, the Vl control target value should be set high.

Rule 2: If the traffic volume is medium and the heavy traffic ratio is small, Vl
Set the control target value high.

Rule 3: If the heavy traffic ratio is medium or large and the time is in a time period where the Vl control target value can be lowered, the Vl control target value is lowered.

Rule 4: If the traffic volume is small and the large vehicle mix rate (the ratio of large vehicles to the total traffic volume) is low, the VI control target value is set low.

Furthermore, membership functions of fuzzy variables such as traffic volume and heavy traffic ratio stored in the storage unit 4C are shown in Figure 2 (a).
) to (e) are used for inference.

Now, assume that the predicted traffic volume at 4 o'clock predicted by the prediction unit 4a is 450 vehicles/hr, the predicted heavy traffic ratio is 0.4, and the predicted large vehicle mix rate is 0.7. Then, the value of the membership function with the highest traffic volume is 0.7 (Figure 2 (
c)), the value of the membership function in the time period in which the VI control target value is left with a margin is 1.0 (see Figure 2 (a)).
) Therefore, when using Rule 1, the value of the membership function that is higher than the Vl control target value is the smaller value of the membership function values 0, 7, and 1.0, that is, 0.
．． 7 (see FIGS. 3(a), (b), and (c)). Also, the value of the membership function for medium traffic volume is 0.3 (see Figure 2 (c)), and the value of the membership function for low heavy traffic ratio is 0.8 (see Figure 2 (d)). Therefore, when Rule 2 is used, the values of the membership function with a high Vl control target value are the above membership function values of 0.3 and 0.
8, which is the smaller value, i.e. 0.3 (Fig. 3(d)
), (e), (f)).

The value of the membership function when the heavy traffic ratio is medium is 0.2 (see Figure 2 (d)), and the value of the membership function during the time period when the Vl control target value is lowered is 0 (see Figure 2 (a)). )reference)
Therefore, when using Rule 3, the value of the membership function that is lower than the target value of vI$(Ill) is the smaller value of the membership function values Q, 2, and O, that is, 0 (Fig. g), (h), (1)).The value of the membership function with a high traffic ratio is 0 (see Figure 2 (d)).
Since the value of the membership function for the time period in which the VI control target value is lowered is 0 (see Figure 2 (a)), the value of the membership function for which the VI control target value is lower when using rule 3 is Similarly, it becomes 0 (Fig. 3 (j), (k), (
1)). Also, the value of the membership function when the traffic volume is low is O (see Figure 2 (c) e), and the value of the membership function when the large vehicle mix rate is low is O (see Figure 2 (b)). , when using Rule 4, the value of the membership function that is lower than the V1 control target value is 0 (Fig. 3 (m), (n
), see (0)).

The VI control target value obtained as described above is obtained by calculating the union of the membership functions, that is, the shaded area shown in FIG. This becomes the inferred VI control target value.

As described above, according to the first embodiment, the ventilation means 8 or the control means 7 perform optimal control based on the control target value fuzzy inferred by the inference means 4, thereby saving energy as much as possible. can be achieved.

FIG. 4 shows a second embodiment of the ventilation control device according to the present invention. The ventilation control device of this second embodiment includes a VI''+ side means 1, a COa degree measuring means 2, an inference means 5, a control target value determining means 6, and a control means 7, and a road having a ventilation means 8. It is used in the tunnel 10.The explanation is omitted since the explanations other than the inference means 5 have already been explained in the first embodiment.The inference means 4 of the first embodiment performs fuzzy inference on the control target value based on the traffic volume prediction value. However, the inference means 5 of this second embodiment performs fuzzy inference based on the predicted value of the amount of soot generated.

The inference means 5 of the second embodiment includes a prediction section 5a and a memory section 5b.
, 5c, and an inference calculation section 5d. Prediction unit 5a
Based on the transmittance τ (%) measured by the Vl measuring means 1, the soot and smoke generation amount Q (rIl/see) is calculated as the traffic volume of the first embodiment using the following equations (1) and (2). This is done in the same way as the prediction.

τ-100・10-100° ・・・・・・・・・(
1) K-Ko +Q/Q r --- (2)
Here, K is the soot concentration at the position where the VI total 61 means 1 is provided, Ko is the soot concentration outside the tunnel, and Qr is the air volume inside the roadway (Ko/5ee).

Further, rules used for inference are stored in the storage unit 5b. For example, in the case of Vl control target value, this rule is
It consists of the following:

Rule 11: If the amount of soot and smoke generated is large and the time is a time period in which the VI control target value should have some margin, the Vl control target value should be set high.

Rule 12: If the amount of soot and smoke generated is large, but the time is within a time period where the VI control target value can be lowered, the Vl control target value is set to a medium value.

Rule 13...The amount of soot generated is medium, but the time is Vl
Rule 14: Set the VI control target value high if the time is such that the control target value has a margin For example, the Vl control target value is set to be low.

Rule 15...The amount of soot and smoke generated is small, but if the time is such that there is a margin for the Vl control target value, VI$(J
Set the ail target value to be high.

Rule 16: The amount of soot generated is small, but if it is a time period where the time or Vl control target value can be lowered, it should be lower.

On the other hand, membership functions are stored in the storage unit 5C.

Based on the soot generation amount predicted by the prediction unit 5a, the inference calculation unit 5d uses the rules and membership functions stored in the storage units 5b and 5c to set the control target value in the same manner as in the first embodiment. reason.

The ventilation control device of the second embodiment described above can also obtain the same effects as those of the first embodiment.

Note that in the first and second embodiments, VI and CotIi degrees were used as the control target value, but the present invention is not limited to this, and the control target value is set to Vl or C
It may be one of the Oa degrees.

〔Effect of the invention〕

As explained above, according to the present invention, by appropriately changing the target value of the control amount, the required power can be reduced as much as possible.
In other words, it is possible to save energy.

It is f.

1...vr measuring means, 2...C(]a degree measuring means,
3...Traffic volume measurement means, 4...Inference means, 6.Control target ξ determination means, 7.Control means, 8.Ventilation means, 1
0...Road tunnel.

Claims (1)

[Scope of Claims] 1. A road used in a road tunnel where ventilation is performed by a ventilation means, and comprising a control means for controlling the ventilation means so that the detected value of the control amount in the road tunnel becomes a target value. A ventilation control device for a tunnel includes an inference means for fuzzy inferring a target value of a control amount based on a detected value in a road tunnel of a physical quantity that has a correlation with the control amount and a current time; It is determined based on a predetermined rule whether or not to adopt the target value of the controlled variable as the actual target value. If not, the current target value of the controlled variable is output, and if it is adopted, fuzzy inference control is performed. and determining means for outputting a target value of the control amount, the control means controlling the ventilation means based on the target value of the control amount that is the output of the determining means.