JPH0833096B2 - Tunnel ventilation control method - Google Patents

Description

The present invention relates to a ventilation control method for a vehicle passage tunnel,
Particularly, the present invention relates to a tunnel ventilation control method suitable for an automobile tunnel.

[Conventional technology]

In the control method of the conventional tunnel ventilation control device,
1. Feedback control method that determines ventilation air volume based on the measured maximum pollution concentration, 2. Ventilation air volume by mathematical model of traffic, pollution, diffusion, ventilation, etc. based on measured values such as pollution concentration and traffic volume flowing into tunnel The feed-forward control method that determines the air flow rate, and the program control method that sets the ventilation air volume in advance according to 3.

[Problems to be solved by the invention]

The above-mentioned conventional techniques have the following problems, respectively. 1. Because the ventilation air volume is determined only by the maximum pollution concentration point from the measuring means installed in the tunnel, there is a delay, and pollution has already progressed at the stage of operation. Therefore, there is a tendency to operate with a high air volume, and it is dangerous in the case of rapid deterioration of pollution. 2. Based on the idea that the amount of inflow traffic can determine the amount of pollution in the tunnel, the traffic model that travels in the tunnel based on the measured pollution concentration and inflow traffic, the model of pollution accompanying traffic, the model of pollution diffusion, This is a method of predicting the amount of pollution generation, the wind speed and other necessary values by the ventilation model in the tunnel and determining the ventilation air volume, but there is an error because it is a mathematical model and it is dangerous depending on the method. In addition, the predicted value is uncertain, and reliability is limited. In particular, it is impossible to deal with sudden phenomena. 3. It is not possible to deal with the case where the air volume other than the constant ventilation air volume pattern is required, including small fluctuations such as pollution concentration and sudden phenomenon. In the above 1 in particular, the measured values other than those paying attention to the pollution concentration are not evaluated at all. Therefore, it is sufficient for the pollution concentration, but when other measured values such as the inflow traffic volume are evaluated, the air volume becomes unnecessary or excessive or insufficient. In 2, the ventilation air volume is basically calculated based on the inflow traffic volume, but at present, due to unknown factors such as vehicle behavior, pollution generation amount, influence on pollution diffusion, and complicated factors, The inside of the tunnel cannot be expressed mathematically clearly. Therefore, as a result, there is a high possibility that an unsuitable air volume will be introduced, and it is insufficient from the viewpoint of pollution concentration. In the case of 3, the pollutant concentration and inflow traffic volume were not evaluated at all. The problems common to these conventional techniques are to be determined as factors that determine the ventilation air volume corresponding to individual values such as pollution concentration and inflow traffic volume regardless of the predicted value or measured value, and evaluate the measured value. This is because the amount of air that has been balanced and decided, that is, the amount of air that is adapted to the conditions inside the tunnel, has not been decided. As a result, ventilator operation with the determined ventilation air volume becomes inefficient and dangerous. In addition, since a single point of continuous numerical value is evaluated, feedback oscillation and hunting are induced in response to fluctuations in the measured value, resulting in uneconomical operation.

An object of the present invention is to provide a tunnel ventilation control method that determines the optimum ventilation air volume by comprehensively judging the situation inside the tunnel from the input measurement values, and performs economical and safe operation. .

[Means for solving problems]

The above object can be achieved by the following technical means. The treatment process includes the following air volume determination process and related table rewriting process. The measured value input to the ventilation control device or the change tendency value required for the measured value is defined not as a continuous value but as a discrete state, and a function for obtaining the corresponding intensity to that state is defined. In addition, a relation table of a combination of the discrete states in which the measured value and its change tendency value are defined and the degree of ventilation air volume or the degree of increase or decrease corresponding to the combination is defined. From the measured value input to the ventilation control device and the calculated value of the required change tendency value from the measured value, the intensity corresponding to each discrete state is calculated from the definition function and converted. Next, the corresponding intensities are made to correspond to the combinations of the discrete states in the association table, and the corresponding intensities are combined, and the ventilation air flow rate or the ventilation air flow increase / decrease degree is determined by any agreement between them. Ventilation air volume is obtained from the determined degree and a conversion table or function to a pre-defined actual air volume. After obtaining the degree and the ventilation air volume for all combinations in the related tables, the ventilation air volume degree or the increase / decrease degree and the ventilation air volume are used to determine the only ventilation air volume by any agreement and perform the actual operation. Operate with the air volume determined by the ventilation air volume determination process above, and during the next air volume determination cycle, evaluate the measured value at that time or the change tendency value of the measured value by the intensity corresponding to the discrete state,
If the pollution concentration level is insufficient, rewrite the ventilation air flow rate or increase / decrease degree in the related table. Through the above steps, calculation of the necessary change tendency value from the measured value, conversion processing of the measured value or the change tendency value into a discrete state,
The combination of the discrete states expressed in the relation table and the actual air volume determination process based on the ventilation air volume degree or the increase / decrease degree corresponding to the combination, the only ventilation air volume determination processing based on any agreement, and the pollution concentration after the actual operation The rewriting of the relational table by evaluation is described as a rule consisting of a set of if condition then executions and constructed on rule-type software.

[Work]

The above operation is as follows. The measured value such as the pollution concentration input to the ventilation control device is set on the target data that can be referred to in the condition part of the rule. After the setting, the change tendency value required refers to the target data that holds the measured value in the condition part of the rule, and the execution part obtains the change tendency value from the previous measured value and sets it in the target data. In the next rule execution, refer to the target data of the measured value or change tendency value,
The execution unit obtains the corresponding strength for each discrete state. Specifically, a function with a horizontal axis representing a concrete value and a vertical axis representing a real value of 0.0 to 1.0 is defined as a discrete state having an indeterminate expression such as large or small, with duplication allowed. By this function, the measured value or its change tendency value is converted as the corresponding intensity to the discrete state having the indeterminate expression. Regarding the pollution concentration, set a reference value that is considered to be reasonable from the viewpoint of economical efficiency and safety above the minimum allowable value, and express it in a discrete state using the amount of deviation from that value and the amount of change from the previous measurement value etc. . That is, the pollutant concentration has a discrete state with an indeterminate expression such as a large amount in the negative direction of the deviation amount, little deviation in the positive direction, a large value in the positive direction, a large decrease amount of the change amount, an almost unchanged value, an increased value, etc. It is expressed on the target data as the corresponding intensity. With respect to other measured values, for example, inflow traffic, the same rule is executed to obtain the amount of change from the previous measured value and the like, and the discrete state and its corresponding intensity are expressed on the target data by a defined function. Discrete states with indeterminate representations of each of these measurements and the corresponding intensities are treated as a pair for all processing. In order to derive the ventilation air volume, a related table is prepared by combining these discrete states and the ventilation air volume degree or the ventilation air volume increase / decrease degree. For example, if the pollution concentration and the inflow traffic volume are input as measured values, and the pollution is worse and the inflow traffic volume is also increasing, it should be considered that the ventilation air volume must be increased. An example of this case can be described as follows by each discrete point state and the ventilation air flow rate or the increase / decrease degree. If the amount of deviation of the pollution concentration from the reference value is large in the negative direction, the amount of change is large, and the amount of inflowing traffic is large, the degree of ventilation air volume or the degree of increase or decrease will increase. What is expressed in the relation table as such a combination is expressed in the rule as a rule that describes each discrete state in the condition part and has the degree of ventilation air volume or the degree of increase or decrease in the execution portion. The degree or the degree of increase or decrease is determined. This decision is based on the following operation. The discrete states described in the conditions of the rule refer to the corresponding intensities, and the execution unit considers any agreement of the intensities, for example, selecting the minimum intensity, as the ventilation air flow rate or the increase / decrease degree. An actual air volume that can be manipulated is derived from this degree and a conversion table or a function from the increase or decrease of the ventilation air volume degree or the degree of increase / decrease defined in advance to the actual air volume, and set as target data. The rules corresponding to all the related tables are similarly executed to derive the real value and the actual air volume with respect to the ventilation air volume degree or the increase or decrease degree. After completing the above, make an agreement such as taking the average with the derived degree and the actual air volume, and finally execute the rule to determine the only ventilation air volume. If the airflow rate is from the ventilation airflow rate, the ventilation airflow rate is directly set. If the ventilation airflow rate is the increase / decrease rate, the airflow rate is added to the new ventilation airflow rate to operate the ventilator. The above is the operation for determining the ventilation air volume. This operation is accompanied by rewriting the related table. Evaluate the measured value of the contamination concentration, for example, compare the corresponding intensities of each discrete state of the deviation amount, and if the intensity is large in the negative direction or large in the positive direction, it corresponds to the related table at the time of the previous operation. Among the execution rules, select the one with the highest ventilation air volume degree or increase / decrease degree obtained by arbitrary agreement, and change the degree of that rule so that the deviation amount is larger in the negative direction and larger in the positive direction. ,
That is, the related table is rewritten.

The ventilation air volume determined by the above operation is the one that was evaluated and determined by considering the measured value of pollutant concentration or its change tendency value as a discrete state, and agreed and agreed with them. ， Currently, the air volume is appropriate for the situation of the next operation. For example, even if the pollutant concentration is the same, if the inflowing traffic volume is increasing or decreasing from the previous time, a completely different ventilation air volume is required. It must also evaluate all possible tunnel conditions as expressed in the association table. The present invention
The measured value or its change tendency value is converted into a discrete state, the ventilation air flow rate or increase / decrease degree and the actual air flow rate for a certain situation are obtained by agreement of the corresponding intensities, and it is the judgment result of all the conditions in the tunnel. The ventilation air volume is finally obtained based on an arbitrary agreement between the degree and the actual air volume. Therefore, it is the optimum air volume that comprehensively judges the discrete state of the measured value or its change tendency value and the situation in the tunnel, and it is possible to control the economical and safe operation of the ventilator corresponding to the situation. . At the same time, it is possible to eliminate phenomena such as feedback oscillation and hunting that are caused by making an accurate judgment by paying attention to a specific point of a continuous numerical value that follows the pollution concentration. In the past, it was possible to flexibly determine the appropriate air volume, which was difficult to predict, and suddenly fluctuate the inflow traffic volume and the pollution concentration, which were the cause of the ventilation air volume determination, and respond efficiently and swiftly. You can secure safety. Further, according to the present invention, the pollution concentration is evaluated after the operation at the determined ventilation air volume, and the related table is rewritten, so that the related table, that is, the rule can be automatically corrected to suit the tunnel, and the air volume that is sufficient for the tunnel characteristics can be obtained. It is possible to lead.

〔Example〕

An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 shows the overall configuration of this embodiment. Ventilation control device 3 that receives and processes the measured values from two measurement means, a soot and fog permeability measurement device 1 for measuring pollution concentration and a traffic counter 2 for measuring inflow traffic, and a ventilation device that operates by its output. As a dust collector. The soot and fog transmittance meter indicates the transmittance in the tunnel at a given time as a percentage, and a completely clean value is 100% and a minimum allowable value is 40%. The traffic counter 2 counts the number of vehicles flowing into the tunnel, and in this embodiment, measures the amount of traffic flowing in for 5 minutes. However, in this example, it is one-way traffic. Between arbitrary times in the following description, the large vehicle mixture ratio, the traveling speed, the wind direction, the wind speed, etc. in the inflow traffic are constant. Of course, if you have these measurement means, consider them. In the embodiment, 5 fractionation cities are shown in FIG.
The measured value from is input, processing is performed to determine the ventilation air volume, and the ventilator is operated. The ventilation control device 3 includes a data processing device such as an electronic computer and rule type software configured on the device. FIG. 2 shows the configuration of rule type software. The inference mechanism 1 is an execution control mechanism, and in this example, an if part (condition part) of a rule described in the form of if condition then execution.
It is equipped with a forward essay that collates target data with and then processes the then part (execution part). The rule group 2 is a set of rules expressing the contents of the related table and other processes on the rules, the target data group 3 is a set of data expressing measured values, and the procedure group 4 sets the measured values as target data. , A set of procedures such as operating a ventilator based on a ventilation air volume as a processing result, and defining a function of each discrete state expressing an indeterminate expression. FIG. 3 shows a target data expression format of the rule type software of the embodiment. The target data name is an individual name that expresses the target, * Data and below are the parts that express the attributes and items of the target and their values as a set called slot name and slot value, and * Procedure and below are the names of procedures that can use the target data. Declaration section. Figure 4 shows the expression format of the rules. The if part describes the condition in the format corresponding to the target data, and the then part describes the transfer action when all the conditions are satisfied. The operation will be described based on the above configuration.

Now, the measured values at arbitrary time are the soot and fog transmittance of 45.0%, the inflow traffic volume of 50 vehicles / 5 minutes, and the previous value 5 minutes ago was 50.0% and 20% respectively.
The unit is 5 minutes, and the ventilation air volume of the dust collector is 100.0 m ³ / s.
The previous value and the like are held in the target data by the previous processing. First, after performing a procedure of setting the measured value from the measuring means to the target data, necessary values such as the shift amount and change amount of each measured value are calculated. FIG. 5 shows a rule of a rule for obtaining a change amount regarding inflow traffic volume, and FIG. 6 shows target data regarding inflow traffic volume after execution of the rule of FIG. According to the rule of FIG. 5, if the value of the current traffic volume slot of the inflow traffic volume is not -1, the difference between the current traffic volume and the previous traffic volume is set in the variation slot, and then the re-initialization is performed. As shown in Fig. 6, the target data regarding the inflow traffic volume is expressed by the change amount and the current and previous traffic volume items. As for the soot and mist transmittance, the amount of change from the previous value and the amount of deviation from the reference value are calculated by the same rule as the rule in FIG. FIG. 7 shows the target data after calculation expressing them as the contamination concentrations. The amount of change or deviation of the pollution concentration,
After calculating the amount of change in inflow traffic, these values are converted into discrete states with indefinite expressions. This conversion is performed by the following method. FIG. 8 is the target data expressing a discrete state in which the amount of change in the pollution concentration, that is, the amount of change in the soot and fog is greatly reduced.
In this example, each discrete state is represented by a set of a state slot and an intensity slot. * Procedures Declared below are procedure names that define their discrete states as functions. As a result, the intensity corresponding to the discrete state is obtained from the specific amount of change and set in the intensity slot.
FIG. 9 is a graph of a function showing a discrete state in which the amount of change in the soot fog transmittance is greatly reduced.
0% is the corresponding strength 0.8, -15.0% due to the procedure shown in Fig. 8.
Is read as 1.0, 5.0% as 0.0. Fig. 10 shows the conversion rule to the discrete state in which the amount of change in the soot and mist transmittance decreases greatly. This rule refers to the target data of the pollution concentration when the state slot of the target data named soot / fog transmittance change 1 is greatly reduced and substitutes the variation slot value, that is, a specific numerical value of the variation into the variable, and the execution unit The value is passed to the procedure so that the change in soot and mist transmittance decreases, the corresponding intensity is measured, and converted to a discrete state. Convert to all discrete states defined by similar rules. Figures 11, 12, and 13 show a graph of all the discrete states in the variation of soot and mist transmittance, deviation, and inflow traffic variation. Fig. 11 shows the discrete state of the change in soot fog transmittance as decreasing from the left, almost unchanged, and increasing in order from the left, and Fig. 12 shows the deviation as large in the negative direction, almost unchanged, and large in the positive direction. There is. Fig. 13 corresponds to the discrete state in the change of the inflow traffic volume, similarly with large decrease, almost unchanged, and large increase. The target data regarding the inflow traffic volume in FIG. 6 and the target data regarding the pollution concentration in FIG. 7 are referred to by the same conversion rule as in FIG. 10, and by the procedure defining each function in FIGS. Measure and transform the corresponding intensities to all discrete states. First
Fig. 14 shows the target data soot and mist transmittance change 1 after execution of the rules in Fig. 10. The corresponding intensity due to the conversion into discrete states by the above-mentioned measured values decreases greatly with respect to the amount of change in soot and mist transmittance.
0.5, almost unchanged 0.33, large increase 0.0, large deviation 0.5 in negative direction, almost no deviation 0.33, positive large 0.0, increase in inflow traffic amount 0.6 large, almost unchanged 0.25, large decrease 0.0, Set to the same target data as in FIG. Specific examples are shown in FIGS. The situation inside the tunnel is represented by these discrete states, and a related table regarding the ventilation air flow rate or the ventilation air flow increase / decrease degree in that case is created. FIG. 17 is a related table in this example regarding the degree of change in ventilation air volume. It can be read that when the amount of deviation is large in the negative direction and the amount of change in inflow traffic is large, the increase or decrease in ventilation air volume increases. Do not refer to the slanted lines. The same numbers represent the same items.
Corresponding intensity of each discrete state is made to correspond to this, and the degree of increase / decrease is determined under an arbitrary agreement. In the embodiment, it is based on the agreement that the corresponding intensity is associated with the combination of the discrete states shown in the relation table, and the minimum intensity is associated with the ventilation air flow rate increase / decrease degree. The ventilation volume that increases and decreases is derived from this intensity and the function that converts it into the actual volume. FIG. 18 shows the contents of the above-mentioned relation table and one of the rules for executing the processing. In this rule, when the state of soot and fog transmittance deviation 1 is large in the negative direction and the state of inflow traffic volume change 1 is large, the intensity and the ventilation air volume slot value of the target data operation volume 1 are substituted into variables, The smallest of the variables with strength is set in the degree slot, and the ventilation volume is calculated by a procedure that defines a function to the degree and the actual air volume conversion set in the ventilation volume slot. Fig. 19 shows the target data operation amount 1 after the rule execution, and Fig. 20 shows all functions for the actual air flow conversion in a graph. In FIG. 19, the degree is set from the intensities of the target data shown in FIGS. The ventilation air volume slot value has the procedure name used by the rule. The function in Fig. 20 decreases from the left, decreases slightly, does not change, increases slightly,
Respond to the increase. In the procedural air volume increase in Figs. 18 and 19, the average of intersections of the set degree and the function expressing the increase is obtained as the ventilation air volume. This need not be particularly average. All of the related tables are executed according to the same rules as in FIG. 18, and the degree and the ventilation air volume to be operated are obtained.
FIG. 21 shows the result after execution and the corresponding intensity of the discrete state described above in the relation table. These are set to the degree of target data and the increase / decrease air volume slot related to the operation amount similar to FIG. The only ventilation air volume is finally determined by the ventilation air volume increase / decrease degree thus obtained and the ventilation air volume. The decisions in the examples are obtained by the following agreement. The degree and ventilation air volume determined as expressed on the association table are selected to have the highest degree, and the ventilation air volume according to the degree is used as the final air volume. In other words, it is judged that the one with the highest degree is well suited to the situation inside the tunnel, and that ventilation air volume is selected. of course,
Other consensus means such as taking an average may be used. In this example, the rule of FIG. 18 and the target data of FIG. 19 are selected. The ventilation air volume according to the ventilation air volume increase / decrease degree determined by the agreement means is added to the actual operation air volume as the increased / decreased air volume to be operated, and the ventilator is operated as a new air volume.

After operating with the ventilation air volume determined as described above, the next determination process is accompanied by the above process, which allows the pollution concentration and rewrites the related table. After converting the measured values to the discrete states shown in Fig. 14, etc., the corresponding intensities of the changes in the inflow traffic volume to the discrete states are compared. The strength of the shift in the discrete state is evaluated, and the related table is rewritten. The evaluation according to this example is as follows. If the applicable intensity that is large in the minus direction or large in the plus direction is three times or more the corresponding intensity that is almost unchanged, the related table is rewritten. Rewriting the related table changes the ventilation air volume increase / decrease selected in the previous processing so that the deviation is almost unchanged. For example, although it was increasing until then, when the deviation becomes large in the negative direction, it is judged that the air volume is large, and it is changed to slightly increase. This embodiment is shown as a rule in FIG.
In the previous processing, the rule in Fig. 18 and the target data in Fig. 19 were selected. The procedure name of the rule in FIG. 18 is set in the ventilation air volume slot of the target data operation amount 1 in FIG. FIG. 22 shows that, of the target data relating to the manipulated variable, the one having the highest degree of the previous time is selected, and if the ventilation air volume slot value increases the wind flow, it should be slightly increased. Cases that cause other rewrites are executed according to the same rule. Figure 23 shows the target data operation amount after rewriting 1
Is. In the next step, the air volume determination process at that time is performed, and thereafter, all the above processes are repeated to determine the ventilation air volume.

In the present embodiment, individual targets are expressed as individual target data by a set of item and item value, and the processing is performed under the if condition then.
It is constructed using rule-based software that expresses in the execution rule format. All target data and rules are independent and have one role. for that reason,
In the case of changing the measuring means and ventilator due to the change of tunnel specifications, or when applying to other tunnels, it is possible to deal with the work such as individually correcting and adding target data and rules, and the effect that can be constructed easily and easily There is.

〔The invention's effect〕

According to the present invention, measured values such as pollutant concentration, inflow traffic volume, wind direction, and wind speed or their changing tendency values are converted into a discrete state, and the ventilation air volume is obtained by the result determined by expressing the situation in the tunnel by the combination. Therefore, it is possible to obtain an appropriate air volume according to the situation in the tunnel. Further, since it is not a simple numerical value but an air volume corresponding to the situation, feedback oscillation or hunting does not occur, and wasteful operation is not performed. Contamination surface, especially with sudden changes,
It is possible to flexibly determine the air volume corresponding to the situation evaluated in other states. Furthermore, since the pollution concentration after the actual operation is evaluated and the degree of the air volume is automatically changed, the air volume corresponding to the characteristics of the tunnel can be determined.

From the above points, the present invention has an effect of preventing deterioration of pollution from the viewpoint of energy saving and safety from the economical aspect.

[Brief description of drawings]

FIG. 1 is an overall configuration diagram of an embodiment of the present invention, and FIG.
FIG. 3 is a diagram showing an example of a rule type software configuration in FIG. 3, FIG. 3 is a diagram showing a target data format, FIG. 4 is a diagram showing a rule format, and FIG. 5 is a diagram showing a change amount setting rule of inflow traffic. Figures 6-8 show the target data for inflow traffic, pollutant concentration, and soot / fog transmittance change reduction, and Figure 9 shows a graph example of a function for soot / fog transmittance change reduction, Figure 10 Is a diagram showing a conversion rule for reducing soot and mist transmittance, Figs. 11 to 13 are graphs showing all discrete states in this example, and Figs. 14 to 16 are diagrams showing target data of discrete states, Figure 17 shows the relation table,
Figures 18 and 19 show the ventilation air volume and the rules for determining the degree of increase and decrease and the target data, and Figure 20 shows a graph showing the increase and decrease in the ventilation air volume.
FIG. 21 is a diagram showing the relation table after execution, and FIGS. 22 and 23 are diagrams showing examples of rewriting rules and target data after rewriting.

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Masakazu Yahiro 5-2-1 Omika-cho, Hitachi-shi, Ibaraki Prefecture Hitachi Ltd. Omika factory, Hitachi Ltd. (72) Yoshiyuki Sato 5-chome, Omika-cho, Hitachi-shi, Ibaraki No. 1 Incorporated company Hitachi Ltd. Omika factory (56) Reference JP-A-54-12137 (JP, A) JP-A-61-92300 (JP, A) JP-A-61-155600 (JP, A) Kaisho 61-196100 (JP, A)

Claims (4)

[Claims] 1. A means for measuring a state inside and outside a tunnel and a pollution concentration in a tunnel, a means for determining a ventilation air volume by using a measurement value of the means as an input, and a means for changing an actual ventilation air volume to a determined value. The tunnel ventilation control device converts the measured value or the change tendency value of at least one of the measured values in a form in which the intensity corresponding to the predefined discrete state is allowed to overlap, and the discrete state and the ventilation air flow rate are converted. Alternatively, the ventilation air flow rate or the ventilation air flow rate increase / decrease degree candidate is selected from the related table prepared in advance so as to be associated with the ventilation air volume increase / decrease degree, and the strength corresponding to the discrete state and the selected ventilation air volume degree or the ventilation air volume increase / decrease degree are selected. Determine the ventilation air volume to be set from the table or function that converts the ventilation air volume that can be used for actual ventilation operation, and determine the actual ventilation air volume. Tunnel ventilation control method and changes. 2. The ventilation air flow rate is determined by using at least one measured value of the wind direction / wind speed inside the tunnel, the wind direction / wind speed outside the tunnel, and the traffic volume flowing into the tunnel and the measured value of the pollution concentration. The tunnel ventilation control method according to claim 1. 3. A conversion process from the measured value to a discrete state,
At least one of the ventilation air volume conversion processing to be set is a rule type based on the creation processing of the relational table between the discrete state and the ventilation air volume degree or the ventilation air volume increase / decrease degree, and from the selected ventilation air volume degree or the ventilation air volume increase / decrease degree. The tunnel ventilation control method according to claim 1, which is performed by software. 4. The tunnel according to claim 1, wherein the changing process includes a process of evaluating the pollution concentration after the actual ventilation operation by the changed ventilation air volume and rewriting the related table based on the evaluation. Ventilation control method.