JP4220344B2 - Tunnel ventilation control apparatus and method - Google Patents

Description

  The present invention relates to a control device for ventilating the inside of a tunnel, and more particularly to a cross-flow type ventilation control for ventilating a city-type tunnel having a branching section and a merging section by combining exhaust and air supply.

  Conventionally, there have been the following methods with respect to a cross-flow ventilation method in which a blower and an exhaust fan are provided in a tunnel. In Patent Document 1, attention is paid to the contamination state in the tunnel, and when there is not much contamination, the air flow rate is made larger than the exhaust air amount on the upstream side of the traffic flow, and the exhaust air amount is made larger than the air flow rate on the downstream side of the traffic flow. On the other hand, when the pollution inside the tunnel is poor and the amount of pollution discharged from the tunnel exit is large, the operation is to make the exhaust air volume larger than the air flow rate upstream of the traffic flow and to make the air flow rate larger than the air exhaust air downstream. It was a method.

  Moreover, in patent document 2, as a ventilation method which improves the precision of the prediction calculation regarding the ventilation state of the tunnel which has a branch part and a confluence | merging part, a tunnel is divided | segmented into a section and the equation of motion regarding the air which distribute | circulates for each section is established, A method for calculating the wind speed distribution in the tunnel by solving these simultaneously is shown.

JP-A-8-218798

Japanese Patent Laid-Open No. 2002-227599

  Although the method of Patent Document 1 shows that the air volume and the exhaust air volume are individually controlled, application to a tunnel having a branching section or a merging section is not considered. For this reason, when applying the simple method for determining the amount of air supply and exhaust volume described, the wind speed is significantly reduced immediately before the branching part and the merging part, or an appropriate headwind cannot be created at the outlet. There may be a problem that the contamination concentration partially deteriorates in the tunnel, or the contaminants leak from the wellhead.

  In addition, the technique of Patent Document 2 describes a technique for obtaining a wind speed distribution in a tunnel having a branching / merging portion. However, as a method for determining the amount of air sent and exhausted, the predicted wind speed distribution should be within a desirable range. Only the air flow rate is corrected to the conditions. As the size of the tunnel increases and the number of junctions increases, the number of sections to be calculated increases and the number of ventilators increases, and the combination of air supply and exhaust becomes enormous. In Patent Document 2, this point is not taken into consideration. Therefore, since a good solution is searched by calculating the wind speed distribution one by one for many combinations of air supply and exhaust, the calculation time for obtaining the solution becomes enormous. . Although the method of Patent Document 2 that repeatedly corrects the air flow rate can reduce the calculation time, the calculation result depends on the initially set air flow rate, and an appropriate solution may not be calculated.

  An object of the present invention is to overcome the above-mentioned problems of the prior art, and a tunnel ventilation control method capable of performing ventilation control by calculating an exhaust amount and an air supply amount in a short time even for a complex tunnel having a branching and merging portion, and To provide an apparatus. Another object of the present invention is to provide a remote adjustment service method for parameters of a tunnel ventilation control device.

  In the present invention, in order to solve the above problem, an exhaust amount determination means for determining an exhaust amount and an air supply amount determination means for determining an air supply amount are independently provided, and each is operated separately with different pointers. did. That is, the exhaust amount determination means determines the exhaust amount according to the smoke concentration in the tunnel, and the air supply amount determination means determines the air supply amount by paying attention to the determined exhaust amount and the wind speed in the tunnel.

  The exhaust amount determining means determines the exhaust amount so that the smoke concentration in the tunnel falls within a predetermined range. Thereafter, the air supply amount determining means determines the air supply amount so that the wind speed before and after the branching / merging portion and the exit of the tunnel is within a predetermined range. Furthermore, the exhaust amount determination means determines the exhaust amount by feedback control using the smoke concentration value detected in the tunnel, and the air supply amount determination means determines the air supply amount by feedforward control using a prediction model. .

  By providing means for appropriately calculating the air supply amount and the exhaust amount, ventilation control can be performed without deteriorating the smoke concentration even for a tunnel having a branching / merging portion. Also, by separately performing the calculation to calculate the exhaust amount and the calculation to calculate the air supply amount, the number of solution combinations can be greatly reduced and the calculation time can be shortened compared to the case of calculating the exhaust and exhaust amount collectively. .

  According to the present invention, by providing means for appropriately calculating the air supply amount and the exhaust amount, ventilation control can be performed without deteriorating the smoke concentration even for a complex tunnel having a branching junction. It can be carried out. In addition, the calculation to calculate the exhaust amount and the calculation to calculate the air supply amount are performed separately, and the exhaust amount is calculated after the exhaust amount is determined. The number of solution combinations is greatly reduced, and the calculation time can be shortened.

  In addition, since the parameter remote adjustment service is provided, the control accuracy can be maintained over a long period of time.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 shows a first embodiment of a tunnel ventilation control apparatus according to the present invention. The control device 100 takes in signals from various detectors provided in the control target 150 and controls the exhaust means 170 and the air supply means 171 provided in the control target 150 in order to appropriately ventilate the air inside the tunnel 151. Signal for output.

  In the present embodiment, in order to simplify the explanation, the control target 150 is provided with an exhaust duct 172 and an air supply duct 173 in the longitudinal direction of the tunnel called a cross-flow type for a one-way tunnel, and is perpendicular to the longitudinal direction of the tunnel. An example of a system that creates airflow and ventilates will be described. Exhaust means 170 and air supply means 171 are attached to create an air flow, and the air flow in the exhaust duct 172 and the air supply duct 173 is controlled according to commands from the control device 100, respectively.

  In the present embodiment, the following detectors are mounted in the tunnel 151. An AV meter 156 that detects wind direction and wind force, and a VI meter 157 that detects smoke concentration. Hereinafter, the value of wind direction and wind force may be referred to as AV value, and the value of smoke concentration may be referred to as VI value.

  The control device 100 determines and outputs an exhaust amount and an air supply amount appropriate for ventilating the tunnel while detecting a current state in the tunnel by a signal from the detector. The control device 100 includes state quantity detection means 101, exhaust amount determination means 102, and air supply amount determination means 103. The state quantity detection means 101 takes in the detection values from the AV meter 156 and VI meter 157 installed in the tunnel 151 of the control object 150, and the VI value is sent to the exhaust amount determination means 102 and the AV value is sent to the air supply amount determination means. Output to 103. The displacement determining means 102 determines the displacement from the VI value. The air supply amount determining means 103 determines the air supply amount from the exhaust amount determined by the exhaust amount determining means 102 and the AV value.

FIG. 2 shows an algorithm executed by the displacement determining means 102. In step S2-1, the VI value output from the state detection unit 101 is captured. Then, the exhaust amount A ₁ is calculated according to the equation (1).
_{A 1 = A 0 + G A} (VI ~ -VI 0) (1)
However, A ₀ : current displacement, VI ^~ : target value of VI, VI ₀ : actual value of VI fetched from the state detecting means 101, and G _A : proportional gain.

  In equation (1), when the captured VI value is smaller than the target value with respect to the current exhaust amount, the exhaust amount is increased because contamination in the tunnel is proceeding. Further, when the VI value is larger than the target value, it is determined that the inside of the tunnel is more than necessary, and an operation for reducing the exhaust amount is performed from the viewpoint of efficient operation. Although the simplest example of proportional control is shown in equation (1), various improvement methods are conceivable, such as proportional-integral control or stabilization of a control with a dead zone.

FIG. 3 shows an algorithm executed by the air supply amount determining means 102. In step S3-1, the AV value output from the state detection unit 101 is captured. In S3-2, the exhaust amount is taken in from the exhaust amount determination means 102. In S3-3, the air supply amount B ₁ is calculated according to the equation (2).
_{B 1 = B 0 + (A} 1 -A 0) + G B (AV ~ -AV 0) (2)
Where B ₀ : current air supply amount, A ₁ : current exhaust amount, A ₀ : previous exhaust amount, AV ^~ : target value of AV, AV ₀ : actual value of AV captured from the state detection means 101, G _{B is a} proportional gain.

In equation (2), the change in the exhaust amount (A ₁ -A ₀ ) is added to the next air supply amount with respect to the current air supply amount, so that the effect of the change in the exhaust amount on the wind speed is shown. Cancel with. After that, the air supply amount for adjusting the wind speed is added in the third term.

  When the captured AV value is smaller than the target value, the air supply amount is increased, and when the acquired AV value is larger than the target value, the air supply amount is decreased, and the wind speed at the AV meter installation point of the tunnel 151 is maintained at the target value. The target value may be fixed, but may be defined in relation to the VI value or the like.

  FIG. 4 is a block diagram of the second embodiment of the present invention, showing an embodiment in which the air supply amount determining means 400 determines the optimal air supply amount by the predictive control using the prediction model. In order to perform the preview control, a traffic counter 462 that detects the number of vehicles that enter the tunnel 151, the speed, and the mixing ratio of large vehicles is provided.

The control device 100 includes an operation plan generation unit 401 that determines and outputs several next operation plans related to the air flow rate. A prediction model that predicts what wind direction / velocity, smoke concentration, and CO concentration when the operation plan output by the operation plan generation unit 401 is adopted, and further calculates energy consumption using the prediction model 403 A calculation unit 402 is included. An operation plan evaluation unit 404 that evaluates the operation plan according to the result of the prediction model calculation unit 402, and an air supply amount determination unit 405 that determines the next operation method according to the evaluation result of the operation plan. The control device 100 predicts a future state using the prediction model 403 while detecting the current state in the tunnel with a signal from the detector, and determines an appropriate air blowing amount.

FIG. 5 shows an algorithm executed by the operation plan generation unit 401. First, the current air supply amount is fetched from the air supply amount determination unit 405 in S5-1. In step S5-2, the exhaust amount calculated by the exhaust amount determination unit 102 is taken in. In step S5-3, a plurality of drafts of the air supply amount at the next time are generated. For example, several proposals such as “increase air supply rate by 20 m ³ / min” are generated. Normally, it is sufficient to generate an air supply amount in the vicinity of B ₀ + (A ₁ −A ₀ ), which is the sum of the first term and the second term in equation (2), but the smoke concentration has greatly changed. In some cases, it may be necessary to generate many operation plans in a wide range and widen the selection range.

FIG. 6 shows an algorithm executed by the prediction model calculation unit 402 . In S6-1, current results are acquired from each sensor of the control target 150. Further, the operation plan for the next air supply amount is taken in from the operation plan generation unit 401. In general, a plurality of operation plans are generated. In this case, the following processing is performed for each operation plan.

  In S6-2, the wind speed of each part in the tunnel is calculated. The calculation method is detailed in, for example, “Road Tunnel Technical Standards (Ventilation); Commentary (Japan Road Border Edition, December 1985)”. Here, the inside of the tunnel is divided into several meshes and solved numerically by using equation (3) describing the dynamics of the gas flow in the tunnel.

  Here, u: wind speed in the roadway, M: mass of air in the tunnel, f (u): total external force, t: time.

  In S6-3, the smoke concentration (VI value) and CO concentration (CO value) inside the tunnel are calculated. It is known that each concentration follows the convection diffusion equation (4).

  Here, u: wind speed in the roadway, D: diffusion coefficient, c: smoke or carbon monoxide concentration, q: discharge amount of pollutants, t: time, x: position in the tunnel axis direction.

  Similarly, after dividing the inside of the tunnel into several meshes, the wind speed obtained in S6-2 is applied to u, and the VI and CO values at the tunnel entrance and exit are set to 0 as boundary conditions. The VI and CO concentration of the part can be calculated.

  Furthermore, the power consumption required to operate the exhaust means 170 and the air supply means 171 is calculated for the operation plan of the exhaust amount and the air supply amount taken in S6-4. The power consumption can be easily calculated, but values according to the exhaust amount and the air supply amount may be stored in a table in advance.

  In addition, for the operation plan, it is examined whether or not the number of fans operated by the exhaust means 170 and the air supply means 171 changes, and the number of start and stop is calculated. When it is necessary to start or stop the number of operating fans with respect to the current number of operating units, the number of starting operations can be easily set to 1 or the like.

  As described above, for the driving plan presented by the driving plan generation unit 401, the predicted value of the control result and the energy consumption amount when the driving plan is adopted are calculated. A plurality of operation plans are usually presented. In this case, it is necessary to repeat the same processing for each operation plan and calculate the predicted value of the corresponding control result, the energy consumption amount, and the like.

  FIG. 7 shows processing performed by the operation plan evaluation unit. In the operation plan evaluation unit 405, for each of the plurality of operation plans generated by the operation plan generation unit 401, appropriateness of control amount (AV value, VI value, CO value), energy consumption, etc. (the most appropriate) Select a driving plan) and generate criteria for selecting a driving plan. In the present embodiment, a case is shown in which an operation plan is evaluated using predictive fuzzy reasoning to determine an operation method.

  The prediction fuzzy consists of a combination of the rules and membership functions shown in FIGS. 8 and 9, and the rule is unique to the prediction fuzzy, such as “IF: AV value is satisfied by operation plan A, THEN: operation plan A is adopted”. It has a form.

  First, in S7-1, a predicted value of each control amount and energy consumption is captured. Next, in S7-2, the fitness of the predicted value is calculated using the membership function. It shows that the desired control result is realized as the degree of conformity is larger.

FIG. 8 and FIG. 9 show examples in which the degree of fitness for the predicted AV value is calculated using the membership function. In FIG. 8, when the predicted AV value is 3.7 (m / s) and the shape of FIG. 8 is assumed as the shape of the membership function (satisfaction function), the fitness is 0.4 by an operation like an arrow. In FIG. 9, assuming that the energy consumption amount is increased by 60 kw / h and the shape of FIG. 9 is assumed as the shape of the membership function (satisfaction function), the fitness is 0.2 by an operation like an arrow. In the same manner, other degrees of conformity can be obtained.

Finally, in S7-3, the overall satisfaction level Wj of each operation plan j regarding the air supply amount is calculated. The overall satisfaction level Wj is calculated by, for example, equation (5).
Wj = β1AVI1 + β2ACO1 + β3AAV1 + β4AEH + (5)
However, AVI1: VI1 fitness, ACO1: CO1 fitness, AAV1: AV1 fitness, AEH: Energy consumption fitness, β1, β2, β3, β4, etc .: Multiplied by the fitness of each evaluation factor The weight corresponds to the importance of each evaluation factor.

  For example, when importance is attached to the AV value and the energy consumption, β1 and β4 may be made relatively large. Alternatively, only a factor having high importance may be selectively used as an evaluation target of overall satisfaction. In this way, the total satisfaction level corresponding to the operation plan j can be calculated. In the same manner, the overall satisfaction level of other driving plans is calculated.

  FIG. 10 shows a process executed by the air supply amount determination unit 406. In S10-1, the most desirable operation plan is selected from the result of calculating the overall satisfaction for each operation plan. In step S10-2, the selected air supply amount is output to the air supply means 171.

  FIG. 11 shows a third embodiment of the present invention. This is an embodiment when the present invention is applied to a complex tunnel having a plurality of merging and branching portions. The control target 1150 is a complex tunnel in which the up and down main lines are connected by multiple branch lines. It is.

  The two main lines are connected by several branch lines, and there are vehicles flowing in and out from the branch line entrances 1105-1109. The upstream main line is connected to a branch line at a branching / merging part such as an upstream branching / merging part 1151, and the downstream main line is connected to a branching line at a branching / merging part such as a downstream branching / merging part 1152. For the sensors 1120 to 1136, a VI meter, a CO meter, and an AV meter are installed together.

  Such a large-scale tunnel usually has a plurality of ventilation stations, and in this embodiment, ventilation stations 1110 to 1113 share the ventilation control in the tunnel. Taking the ventilator 1113 as an example, the corresponding part of the tunnel is ventilated by exhausting from the exhaust duct 1141 of the ventilator 1113 and supplying air from the air supply duct 1142 of the ventilator 1113.

  As in the first embodiment, the control device 1101 includes a state detection unit 1101, an exhaust amount determination unit 1102, and an air supply amount determination unit 1103. The state quantity detection means 101 takes in detection values from a large number of AV meters and VI meters installed in the control target 1150, and outputs the VI value to the exhaust amount determination means 1102 and the AV value to the air supply amount determination means 1103. . The displacement determining means 1102 determines the displacement from the VI value. Further, the air supply amount determining means 1103 determines the air supply amount from the exhaust amount determined by the exhaust amount determining means 1102 and the AV value.

FIG. 12 shows an algorithm executed by the displacement determining means 1102. In S12-1, the detected value of VI is fetched from the state quantity detection means 1101. The difference from the first embodiment is that there are a plurality of detected values of VI. In S12-2, the exhaust amount of each ventilation place is calculated by multivariable feedback control. In the present embodiment, an example of four ventilating stations 1110 to 1113 is shown. The amount of exhaust at the time t of the ventilation plant in the form of a vector A _t shown in equation (6).
_{A t = (a 0, a} 1, a 2, a 3) (6)
The detected value vector Vt at the time t of the VI meter installed in the tunnel is shown in equation (7). In this embodiment, an example in which 17 sensors 1120 to 1136 are equipped with VI meters is shown.
V _t = (v ₀ , v ₁ ,..., V ₁₆ ) (7)
Further, the target value Vc of VI is shown in equation (8).
V _c = (vc ₀ , vc ₁ ,..., Vc ₁₆ ) (8)
Next, a multivariable control matrix F that associates the ventilator to be operated with the feedback value of VI detected by the VI meter and the deviation of V is defined by equation (9).

Here, f _ij is a set of control operations performed by the exhaust means of the j-th ventilator with respect to the deviation between the feedback value from the i-th VI meter and the target value, and is expressed by the equation (10).
f _ij = (G _ij , D _pij , D _nij , L _pij , L _nij ) (10)
Where G _{ij is a} control gain, D _{pij is a} lower dead zone, D _{nij is an} upper dead zone, L _{pij is an} air flow change upper limiter, and L _{nij is an} air flow change lower limiter. At this time, the control law of the multivariable feedback control is expressed by equation (11).
(A _{t + 1} ) ^t = (A _t ) ^t + ΔA
= (A _t ) ^t + F * ([V _c −V _t ]) ^t (11)
Here, * is an operation for calculating ΔA, and is expressed by equation (12).

As a result of such collective calculation, the exhaust amount of the exhaust means of each ventilation station is finally determined as an element of (A _{t + 1} ) ^{t in} the equation (11).

FIG. 13 shows an algorithm executed by the air supply amount determining means 1103. In S13-1, the wind speed value in the tunnel is taken in from the state quantity detection means 1101. Similarly, there are a plurality of AV values. Capturing A _{t + 1} and A _t as an exhaust amount from the exhaust amount determining means 1102 at S13-2. In S13-3, the air supply amount is similarly calculated by multivariable feedback control.

Ventilation plants and 4 ventilation plant 1110 to 1113, shown in (13) in the form of a feed amount of the vector B _t at time t of the ventilation plant.
B _t = (b ₀ , b ₁ , b ₂ , b ₃ ) (13)
The detected value vector AV _t at time t of the AV meter installed in the tunnel is shown in equation (14). An example in which an AV meter is provided in 17 sensors 1120 to 1136 will be described.
AV _t = (av ₀ , av ₁ ,..., Av ₁₆ ) (14)
The AV target value AVc is shown in equation (15).
AV _c = (vc ₀ , vc ₁ ,..., Vc ₁₆ ) (15)
Next, a multivariable control matrix H for associating the ventilator to be operated with the AV feedback value detected by the AV meter and the AV deviation is defined by equation (16).

Here, h _ij is a set of control operations performed by the air supply means of the j-th ventilator with respect to the deviation between the feedback value from the i-th AV meter and the target value, and is expressed by the equation (17).
H _ij = (J _ij , K _pij , K _nij , P _pij , P _nij ) (17)
However, J _ij : Control gain, K _pij : Lower limit dead zone, K _nij : Upper limit dead zone, P _pij : _Air volume change upper limiter, P _nij : _Air volume change lower limiter. At this time, the control law of the multivariable feedback control is expressed by equation (18).
(B _{t + 1} ) ^t = (B _t ) ^t + (A ₁ −A ₀ ) ^t + ΔB
^{_{= (B t) t + (}} A 1 -A 0) t + H * ([AV c -AV t]) t (18)
In equation (18), after offsetting the change in the exhaust amount in the second term on the right side of the current air supply amount, the air supply amount is increased when the captured AV value is smaller than the target value, and when it is larger than the target value. Processing to reduce the amount of air supply is performed, and each wind speed at the AV meter installation point in the tunnel is maintained at the target value. * Is an operation for calculating ΔB, and is expressed by equation (19).

As a result of such collective calculation, the air supply amount of the air supply means of each ventilation station is finally determined as an element of (B _{t + 1} ) ^{t in} the equation (18).

  FIG. 14 shows a fourth embodiment of the present invention. This is an embodiment in the case where the air supply amount determining means 1403 determines the optimum air supply amount by the predictive control using the prediction model 1403 for the complex tunnel shown in the control target 1150.

  The operation of the air supply determining means 1403 is the same as in the second embodiment. Although the structure of the prediction model 1403 is somewhat complicated, for example, the document “Unsteady ventilation analysis in tunnels with branching and confluence by graph theory (highway and automobile Vol. 45, No. 9, September 2002)” This can be realized by applying the above method.

  The operation method determination unit 405 needs to determine the air supply amount by paying attention to wind speeds at a number of points. FIG. 15 shows examples of such rules and membership functions. Each rule defines a range of desirable values for several points that evaluate wind speed. A membership function is defined corresponding to each rule, and a final operation method is determined according to the degree of suitability of each rule, and is output as an exhaust amount of each ventilation station.

  Next, an embodiment for performing a parameter adjustment service for maintaining the control accuracy of the tunnel ventilation control device at a constant level over a long period of time will be described.

  Fig. 16 shows the configuration of the service center. The service center 1600 performs a parameter adjustment service of the tunnel ventilation control device that monitors the control results of the control device 100 and adjusts the multivariable control parameters of the exhaust amount determination means 1102 and the air supply amount determination means 1103 as necessary.

  In this embodiment, an example is shown in which the control center is remotely monitored from the service center 1600 using the Internet or the like, and F and H shown in the equations (9) and (16) are remotely adjusted using the Internet. Various types of services are conceivable, such as a method of loading parameters directly to the control device 100.

In the present embodiment, the control device 100 includes a performance collection means 1610, a performance storage means 1611 that stores the collected performance, and a performance transmission means 1612 that transmits the contents of the performance storage means 1611 to the service center 1600 via the public line network 1620. ing. In addition, the service center 1600 is provided with an adjustment database 1604 describing which items of F and H should be adjusted when the control state of each part is not preferable. For example, "IF: down minutes merging section 1152 immediately before wind speed 1m / s about insufficient, THEN: G of ventilation plants h _3,0 ~h _3,16 10% (gain) to increase" the adjustment in the rules, such as Strategies are described.

  Furthermore, a performance receiving means 1601 for receiving the results transmitted from the control device 100 and a performance evaluation means 1602 for evaluating whether the control state is good and whether parameter adjustment from the service center 1600 is working well are provided.

  Further, the necessity of parameter adjustment is judged from the evaluation result of the result evaluation means 1602 and the result of referring to the information database 1604, and if necessary, the result necessary for adjustment is fetched from the result reception means 1601 and the parameter value is calculated. Parameter adjustment means 1603 is provided.

  Furthermore, parameter transmission means 1605 for transmitting parameters to the control device 100 via the public line network 1620 and parameter adjustment frequency count means 1606 for counting the number of times the parameter transmission means 1605 has transmitted the parameters are provided.

First, the operation of the control device 100 will be described. Result collection unit 1610 collects control record comprising a combination of the corresponding control performance and operating scheme (VI value, AV value), and accumulates the results accumulation means 1611. In addition to this, the amount of smoke and carbon monoxide leakage from the tunnel exit can also be considered. The actual result transmission means 1612 transmits these to the service center 1600, but the transmission may be performed at a timing when a new control result is accumulated in the actual result accumulation means 1611 or after a certain amount is accumulated.

Next, the operation of the service center 1600 will be described. The actual result receiving means 1601 receives and accumulates the transmitted results, and the actual result evaluating means 1602 monitors the control status based on these results, and determines whether the control results are acceptable. Whether the control result is good or bad can be easily determined by calculating a value W in which the degree of satisfaction of the control is calculated by performing the same calculation as shown in the equation (5) and evaluating the time series transition of W. Specifically, the equation (20) may be calculated and evaluated based on the fact that the magnitude has not decreased since the initial adjustment.
Wj = β1AVI1 + β2ACO1 + β3AAV1 + β4AEH + (20)
However, AVI1: VI1 fitness, ACO1: CO1 fitness, AAV1: AV1 fitness, AEH: Energy consumption fitness, β1, β2, β3, β4, etc .: Constants corresponding to each evaluation factor is there.

  FIG. 17 shows processing executed by the parameter adjustment unit 1603. The parameter adjustment means 1603 determines the necessity of parameter adjustment in S17-1. The necessity depends on whether or not the overall satisfaction level W evaluated by the performance evaluation means 1602 has decreased. From this determination result, the necessity of control parameter adjustment currently used in the control apparatus 100 is determined. If the determination result is “adjustment required” in S17-2, parameter adjustment is performed in accordance with the adjustment rule described above in S17-3. The parameter calculated in S17-4 is transmitted to the control device 100. The parameter adjustment count counting means 1606 counts and stores the parameter adjustment count.

  The charge to the control device manager for the work of the service center 1600 is for at least one of the control performance monitoring work, the parameter adjustment count counted by the parameter adjustment count counting means 1606, and the control achievement evaluated by the performance evaluation means 1602 Done.

The block diagram by the 1st Example of the tunnel ventilation control apparatus of this invention. FIG. 5 is a processing flow diagram of an exhaust amount determination unit. The processing flow figure of an air_supply amount determination means. The block diagram of the air supply amount determination means which performs model prediction control in a 2nd Example. The processing flowchart of the operation plan production | generation part of an air_supply amount determination means. The processing flow figure of the prediction model calculating part of an air_supply amount determination means. The processing flowchart of the operation plan evaluation part of an air_supply amount determination means. Explanatory drawing of the rule of AV value of a driving plan evaluation part, and a membership function. Explanatory drawing of the rule of energy consumption of an operation plan evaluation part, and a membership function. The processing flow figure of the driving | operation system determination part of an air_supply amount determination means. The block diagram at the time of applying to a complex tunnel in a 3rd Example. The processing flow figure of the exhaust-gas amount determination means of a 3rd Example. The processing flow figure of the air supply amount determination means of a 3rd Example. The block diagram at the time of applying to a complex tunnel in a 4th Example. Explanatory drawing of the rule of AV value and membership function of the driving plan evaluation part of a 4th Example. The block diagram by one Example of the parameter adjustment system of this invention. FIG. 5 is a process flow diagram of parameter adjustment.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 100 ... Control apparatus, 101 ... State quantity detection means, 102 ... Exhaust amount determination means, 103 ... Air supply amount determination means, 150 ... Control object, 151 ... Tunnel, 156 ... AV meter, 157 ... VI meter, 170 ... Exhaust means 171 ... Air supply means, 172 ... Exhaust duct, 173 ... Air supply duct, 400 ... Air supply amount determining means, 401 ... Operation plan generation unit, 402 ... Prediction model calculation unit, 403 ... Prediction model, 404 ... Evaluation of operation plan 405 ... Air supply determining unit, 1600 ... Service center, 1601 ... Result reception means, 1602 ... Result evaluation means, 1603 ... Parameter adjustment means, 1604 ... Adjustment database, 1605 ... Parameter transmission means, 1606 ... Count of parameter adjustments Means: 1610: Result collection means, 1611: Result storage means, 1612: Result transmission means, 1620: Public line network.

Claims (9)

In a tunnel ventilation control device that has an exhaust duct and an air supply duct and exhausts contaminated air in the tunnel from the exhaust duct and ventilates the tunnel by sending air from the air supply duct into the tunnel,
Equipped with an exhaust volume determination means that determines the exhaust volume from the exhaust duct based on the smoke concentration in the tunnel, and an air supply volume determination means that determines the air volume from the air duct based on the wind speed in the tunnel Tunnel ventilation control device characterized by. The tunnel is provided with a soot concentration detector for detecting the soot concentration and an anemometer for detecting the wind speed in the tunnel, and the exhaust amount determination means uses the detection value of the soot concentration detector to determine the exhaust amount from the exhaust duct. 2. The tunnel ventilation control device according to claim 1, wherein the air supply amount determining means determines an air supply amount from an air supply duct using a detection value of the anemometer. A prediction model for predicting the wind speed and smoke concentration in the tunnel from the amount of air sent and exhausted, traffic volume, natural wind, etc. is provided, and the displacement determining means is fed back from the exhaust duct by feedback control using the detected value of the smoke concentration detector. An exhaust amount is determined, and the air supply amount determining means determines an air supply amount from an air supply duct by a calculation using the prediction model from the determined exhaust amount and a detected value of the anemometer. The tunnel ventilation control device according to claim 2. The tunnel includes a plurality of smoke concentration detectors for detecting the smoke concentration and a plurality of independently controllable exhaust ducts, and the exhaust amount determination means takes in the detection value of the smoke concentration detector and performs multivariable feedback control. 3. The tunnel ventilation control device according to claim 1, wherein an exhaust amount from each exhaust duct is determined. The air supply amount determining means determines the air supply amount so that the wind speed in the tunnel falls within a predetermined range by calculation using the prediction model from the determined exhaust amount and the detected value of the anemometer. The tunnel ventilation control device according to claim 3. The tunnel includes a branching part or a merging part, and the air supply amount determining means calculates the wind speed of the branching part or the merging part from the determined displacement and the detected value of the anemometer using the prediction model. The tunnel ventilation control device according to claim 3 or 5, wherein an air supply amount is determined so that the air flow rate falls within a predetermined range. A plurality of smoke concentration detectors, anemometers, independent exhaust ducts, and independent air supply ducts are provided, and the exhaust amount determining means is configured to detect each exhaust gas according to the relationship between the detected value of each smoke concentration detector and the exhaust amount of each exhaust duct. The air volume determining means determines the relationship between the detected value of each anemometer and the air volume of each air duct, and the exhaust volume of each exhaust duct determined by the exhaust volume determining means. Therefore, the tunnel ventilation control device according to claim 1, wherein an air supply amount of each air supply duct is determined. In a ventilation control method that has an exhaust duct and an air supply duct and exhausts contaminated air in the tunnel from the exhaust duct and ventilates the tunnel by sending air into the tunnel from the air supply duct,
A tunnel ventilation control method, comprising: calculating an exhaust amount from an exhaust duct, and then performing an operation determining an air supply amount from the air duct. Parameters of a tunnel ventilation control device that calculates the amount of air discharged from the exhaust duct based on the smoke concentration in the tunnel and then calculates the amount of air supplied from the air duct based on the wind speed in the tunnel In the adjustment service method,
The tunnel ventilation control device is the tunnel ventilation control device according to any one of claims 1 to 8, wherein the service center provides actual values such as smoke concentration and wind speed detected from the tunnel and operation results of exhaust air volume and air flow rate. When received, the goodness of the control carried out is evaluated from the smoke concentration, the wind speed, etc., and if it is judged that the good control is impaired, the relationship between the smoke concentration and the displacement, the wind speed and the air supply amount A parameter adjustment service method for a tunnel ventilation control device, wherein the control parameter of the tunnel ventilation control device is adjusted by transmitting and obtaining a control parameter so as to change the control parameter.

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