JP4927576B2 - Wind speed monitoring device and method of operating wind speed monitoring device - Google Patents

Description

  The present invention relates to a wind speed monitoring apparatus and a method of operating a wind speed monitoring apparatus.

The wind speed monitoring device is used for operation control of transportation facilities such as railways. For example, the speed limit or operation stop of the train is performed based on the wind speed information obtained from the wind speed monitoring device. It is important for the wind speed monitoring device to collect accurate wind speed information in order to prevent derailment accidents and overturning accidents due to wind effects. In general, an anemometer, a transmission device that transmits the wind speed value measured by the anemometer to the wind speed monitoring device, and the wind speed monitoring device are often separated from each other. For example, an anemometer is installed near a riverbed or tunnel exit, and a wind speed monitoring device is installed in the equipment room of each station. In order to collect accurate wind speed information, anomalies due to freezing of an anemometer installed at a location distant from the wind speed monitoring device are based on the no wind time of the wind speed value received by the wind speed monitoring device and the change rate of the wind direction data. , There is a technology to detect (for example, Patent Document 1). Further, a failure determination device and a freezing determination device that detect a failure and freezing of the wind direction anemometer based on the wind direction data and the rate of change of the wind speed value have been proposed (for example, Patent Document 2).
JP-A-11-72502 JP 2006-189363 A

  As the distance between the devices increases, the wind speed monitoring device is more likely to receive an incorrect wind speed value due to noise or the like. In general, when a wind speed exceeding a warning state, slow driving, or operation stop is observed once according to the fail-safe concept, the operation is resumed after the safety is confirmed. Therefore, operation control with an incorrect wind speed value prevents smooth operation. For example, in the operation control performed with an incorrect wind speed value indicating a value larger than the wind speed value measured by the anemometer, an erroneous determination such as slow train operation or operation stop is made, and smooth operation is hindered. However, a method for determining whether or not a large wind speed value is an incorrect wind speed value (invalid wind speed value) and removing the incorrect wind speed value has not been proposed.

Further, since the techniques of Patent Documents 1 and 2 are techniques for detecting an anomaly of the anemometer, whether or not a large wind speed value is an incorrect wind speed value even if the techniques of Patent Documents 1 and 2 are applied. Cannot be determined.
An object of the present invention is to remove erroneous wind speed values from received wind speed values and collect accurate wind speed information.

  The wind speed monitoring device includes an average value calculation unit that calculates a moving average of wind speed values, a reference value calculation unit that calculates a reference value, and a determination unit that determines whether or not to invalidate a wind speed value equal to or higher than the reference value. Have. For example, the average value calculating unit sequentially calculates the moving average of the wind speed values using the wind speed values sequentially measured by the anemometer. Then, each time the moving average is calculated by the average value calculating unit, the reference value calculating unit calculates the reference value by multiplying the moving average by a first determination magnification larger than 1. Further, the determination unit invalidates a wind speed value that is equal to or higher than a reference value that is not continuous twice or more.

  In the present invention, an incorrect wind speed value can be removed from the received wind speed value, and accurate wind speed information can be collected.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 shows a wind speed monitoring device 10 according to a first embodiment of the present invention. The wind speed monitoring device 10 includes a wind speed data receiving unit 20, an average value calculating unit 30, a reference value calculating unit 40, a determining unit 50, a wind speed value collecting unit 60, and a wind speed value storage unit 70.
The wind speed data receiving unit 20 periodically (for example, 250 ms cycle) wind speed values (wind speed data WD) sequentially measured by an anemometer 100 installed near a riverbed or near a tunnel exit, for example, via the transmitter 110. To receive. Then, the wind speed data receiving unit 20 sequentially transfers the wind speed data WD to the average value calculating unit 30 and the determining unit 50.

  The average value calculation unit 30 includes a storage unit 32 that sequentially stores the wind speed data WD transferred from the wind speed data reception unit 20, and uses the wind speed data WD stored in the storage unit 32 to move the wind speed value. Is calculated. Further, the average value calculation unit 30 receives information indicating whether the wind speed data WD is valid or invalid from the determination unit 50. Thereby, it is possible to prevent the average value calculation unit 30 from using incorrect wind speed data WD. The average value calculation unit 30 may store only valid wind speed data WD in the storage unit 32. The storage unit 32 is formed of, for example, DRAM (Dynamic RAM) or SRAM (Static RAM).

  The reference value calculation unit 40 multiplies the moving average calculated by the average value calculation unit 30 by the first determination magnification to calculate a reference value. Here, the first determination magnification is one of elements that determine the reference value, and is set to a value larger than 1, for example, 3. The reference value is the magnitude of the wind speed value indicating the boundary between the valid wind speed data WD and the invalid wind speed data WD. The wind speed data WD smaller than the reference value is processed as valid wind speed data, and it is determined whether or not the wind speed data WD above the reference value is invalid wind speed data. The determination process of whether or not the wind speed data WD that is equal to or greater than the reference value is invalid wind speed data will be described later with reference to FIG.

  The determination unit 50 determines whether the wind speed data WD transferred from the wind speed data reception unit 20 is valid or invalid using the reference value calculated by the reference value calculation unit 40. Then, the determination unit 50 transmits information indicating whether the wind speed data WD is valid or invalid to the average value calculation unit 30. Moreover, the determination part 50 detects the maximum wind speed value for every aggregation time (for example, 2 seconds) using only the effective wind speed data WD.

  The wind speed value aggregating unit 60 acquires the maximum wind speed value from the determination unit 50 for each aggregation time, and stores the acquired maximum wind speed value in the wind speed value storage unit 70 as the wind speed value at that time. The wind speed value aggregating unit 60 resets the maximum wind speed value held by the determination unit 50 when the maximum wind speed value is acquired from the determination unit 50. The wind speed value storage unit 70 is formed of, for example, DRAM (Dynamic RAM) or SRAM (Static RAM). The wind speed value storage unit 70 and the storage unit 32 may be formed by one memory, and the storage area may be divided into each.

  FIG. 2 shows an example of the update operation of the maximum wind speed value including the operation of determining whether or not the wind speed data is invalid in the wind speed monitoring apparatus 10 shown in FIG. Steps S110, S118, S120, S122, S124, S126, S128, and S130 are executed by the determination unit 50 and may be realized only by hardware, or may be realized by controlling the hardware by software. . Steps S112, S114, and S116 are executed by the wind speed data receiving unit 20, the average value calculating unit 30, and the reference value calculating unit 40, respectively, and may be realized by hardware alone, or by controlling the hardware by software. It may be realized.

First, in step S110, the determination unit 50 initializes the maximum wind speed value Fmax and the continuous flag to zero. This process is an initialization process executed when the wind speed monitoring device 10 is started or reset. In normal operation after step S110 (initialization processing), the processing of steps S112 to S130 is repeated.
In step S <b> 112, the wind speed data receiving unit 20 transfers the wind speed data WD received from the anemometer 100 via the transmission device 110 to the average value calculating unit 30 and the determining unit 50. 1 receives the wind speed data WD periodically (for example, at a cycle of 250 ms). For this reason, the wind speed monitoring apparatus 10 performs the flow of step S112-S130, every time the wind speed data WD is received.

  In step S <b> 114, the average value calculating unit 30 sequentially stores the wind speed data WD transferred from the wind speed data receiving unit 20 in the storage unit 32. Then, the average value calculation unit 30 uses the n effective wind speed data WD received immediately before the wind speed data WD received in step S112, and the moving average Fave of wind speed values (Fave = sum of n WDs / n ) Is calculated. When the number of effective wind speed data WD stored in the storage unit 32 is less than n, the average value calculation unit 30 is within the range of the number of effective wind speed data WD stored in the storage unit 32. The moving average Fave is calculated. Here, the predetermined number n is determined in advance, for example, based on results such as test operation when the anemometer 100 shown in FIG. 1 is installed. Further, the predetermined number n may be changed from the number initially set after the wind speed monitoring apparatus 10 is operated, reflecting the actual operation results.

  In step S116, the reference value calculation unit 40 multiplies the moving average Fave by a first determination magnification N1 greater than 1 to calculate a reference value Fref (Fref = Fave · N1). For example, when the first determination magnification N1 is set to 3, the reference value Fref is three times the moving average Fave. The reference value calculation unit 40 is set in advance when the wind speed monitoring device 10 is started or when the moving average Fave is not calculated, for example, when no valid wind speed data WD is stored in the storage unit 32. The initial value (for example, 10 m / s) is set as the reference value.

  In step S118, the determination unit 50 determines whether or not the wind speed data WD received in step S112 is greater than or equal to the reference value Fref. If the wind speed data WD is greater than or equal to the reference value Fref, the process moves to step S120, and it is determined whether or not the wind speed data WD is invalid. On the other hand, if the wind speed data WD is smaller than the reference value Fref, the process proceeds to step S124, and the wind speed data WD is processed as an effective wind speed value.

  In step S120, the determination unit 50 determines whether or not the value indicated by the continuous flag is zero. This process determines whether or not the wind speed value (wind speed data WD) equal to or greater than the reference value Fref has been continuously measured. When the measurement interval of the anemometer 100 is short (for example, 1 second or less), the wind speed value measured by the anemometer 100 when a gust of wind or the like is generated is a reference twice or more consecutively due to the structure of the anemometer propeller. It becomes greater than the value Fref. In other words, the wind speed data WD of the reference value Fref that is not continuous twice or more is data that has been changed to an incorrect wind speed value due to noise or the like while being transmitted from the anemometer 100 to the wind speed monitoring device 10.

When the value indicated by the continuation flag is 0 (when it is not continuous twice or more), the process proceeds to step S122, and the wind speed data WD is processed as invalid wind speed data. By this process, an erroneous wind speed value equal to or higher than the reference value Fref can be removed. This process is, for example, an operation when a wind speed value m shown in FIG. 5 described later is received.
On the other hand, when the value indicated by the continuation flag is not 0 (when the value is continuous twice or more), the process proceeds to step S124, and the wind speed data WD is processed as valid wind speed data. By this process, a wind speed value that is greater than or equal to the reference value Fref due to a gust or the like can be processed as an effective wind speed value. This process is, for example, an operation when wind speed values u and v shown in FIG.

In step S122, the determination unit 50 sets the continuous flag to 1, and processes the wind speed data WD as invalid wind speed data. For example, the determination unit 50 transmits information indicating that the wind speed data WD received in step S112 is invalid to the average value calculation unit 30.
In step S124, the determination unit 50 updates the data Fn to be compared with the maximum wind speed value to the wind speed data WD. Further, the determination unit 50 transmits information indicating that the wind speed data WD received in step S112 is valid to the average value calculation unit 30. Thereby, the average value calculation part 30 memorize | stores the wind speed data WD in the memory | storage part 32 as effective wind speed data. In step S126, the determination unit 50 resets the continuous flag to 0.

  In step S128, the determination unit 50 determines whether the data Fn is greater than the maximum wind speed value Fmax. If the data Fn is greater than the maximum wind speed value Fmax, in step S130, the determination unit 50 updates the maximum wind speed value Fmax to the data Fn. Then, the process returns to step S112. On the other hand, when the data Fn is equal to or less than the maximum wind speed value Fmax, the maximum wind speed value Fmax is not updated, and the process returns to step S112. The processes of steps S112 to S130 described above are repeatedly performed every time the wind speed data WD is received.

  FIG. 3 shows an example of a wind speed value aggregation operation in the wind speed monitoring apparatus 10 shown in FIG. Steps S210, S212, S214, S216, S218, and S220 are executed by the wind speed value aggregating unit 60 and may be realized only by hardware, or may be realized by controlling the hardware by software. The wind speed value aggregating unit 60 measures the aggregation time T by the processes of steps S210 to S216, and repeatedly performs the processes of steps S218 and S220 for each aggregation time T.

  First, in step S210, the wind speed value aggregation unit 60 initializes a timer Ttm to zero. The wind speed value aggregating unit 60 waits for a time Tw in step S212, and updates the timer Ttm by adding the time Tw in step S214. In step S216, the wind speed value aggregation unit 60 determines whether or not the timer Ttm is equal to or greater than the aggregation time T. When the timer Ttm is shorter than the aggregation time T, the wind speed value aggregation unit 60 repeats the processing of steps S212 to S216 and waits until the timer Ttm becomes equal to or greater than the aggregation time T. On the other hand, when the timer Ttm is equal to or longer than the aggregation time T, the process proceeds to step S218.

  In step S218, the wind speed value aggregating unit 60 acquires the maximum wind speed value Fmax from the determination unit 50, and attaches a time stamp to the acquired maximum wind speed value Fmax. The wind speed value aggregating unit 60 stores the maximum wind speed value Fmax with the time stamp in the wind speed value storage unit 70. In other words, the maximum wind speed value Fmax stored in the wind speed value storage unit 70 is a determined wind speed value in the time recorded by the aggregation time T.

  In step S220, the wind speed value aggregation unit 60 resets the maximum wind speed value Fmax held by the determination unit 50. This process is performed by interrupting the process of steps S112 to S130 shown in FIG. Since the maximum wind speed value Fmax is reset by the wind speed value aggregating unit 60 every aggregation time T, the determination unit 50 repeats the processing of steps S112 to S130 shown in FIG. Detect every time.

  FIG. 4 shows the update operation of the maximum wind speed value of the comparative example of the present invention. Steps S310, S312, S324, S328, and S330 correspond to steps S110, S112, S124, S128, and S130 shown in FIG. In this comparative example, the process of determining whether the wind speed data WD is valid or invalid (steps S114 to S122 and S126 shown in FIG. 2) is not performed.

  Each step in the figure is the same as the corresponding step shown in FIG. In step S310, since there is no continuous flag, only the maximum wind speed value Fmax is initialized to zero. The maximum wind speed value Fmax is updated by repeatedly performing the processes of steps S312, S324, S328, and S330 every time the wind speed data WD is received. In this comparative example, since all received wind speed data WD is processed as valid wind speed data, an erroneous wind speed value that is not continuous twice or more and that is greater than or equal to the reference value Fref is detected as the maximum wind speed value Fmax. There is. For example, when a wind speed value m shown in FIG. 5 described later is received, an incorrect wind speed value m is detected as the maximum wind speed value Fmax.

  FIG. 5 shows an example of the relationship between the wind speed value received by the wind speed monitoring apparatus 10 shown in FIG. 1 and the determined wind speed value in the aggregation time. In the figure, ax represents the wind speed value (wind speed data WD) received by the wind speed monitoring apparatus 10 shown in FIG. In the figure, the broken line indicated by Fave indicates the moving average Fave, and the solid line indicated by Fref indicates the reference value Fref. The reference value Fref is set to the initial value INT until the first wind speed value a is received. After the wind speed value a is received, the reference value Fref is set to a value obtained by multiplying the moving average Fave by the first determination magnification N1.

Times T10, T20, T30, T40, and T50 indicate times recorded by the aggregation time T. Times T10, T20, and T40 indicate a case where a normal wind speed value smaller than the reference value Fref is input. The wind speed values at times T10, T20, and T40 are determined as wind speed values e, g, and r, respectively.
Time T30 indicates a case where an abnormal wind speed value m is input. In this case, since the wind speed values l and n before and after the wind speed value m are smaller than the reference value Fref, the wind speed monitoring device 10 invalidates the wind speed value m equal to or higher than the reference value Fref by the processing shown in FIG. It can be removed as a wind speed value. As a result, the wind speed value at time T30 is determined to be the wind speed value l which is the maximum wind speed value excluding the wind speed value m. Therefore, the wind speed monitoring apparatus 10 can remove incorrect wind speed values from the received wind speed values and collect accurate wind speed information.

On the other hand, in the comparative example shown in FIG. 4, since the abnormal wind speed value m cannot be removed, the wind speed value at time T30 is fixed to the wind speed value m as shown in parentheses below time T30. For this reason, in the operation control using the wind speed monitoring device of the comparative example, an erroneous determination, for example, a determination of slow train operation or operation stop, is made, and smooth operation is hindered.
Time T50 shows a case where wind speed values u and v greater than the reference value are input due to a gust of wind. In this case, since the wind speed monitoring device 10 receives the wind speed value u, v and the wind speed value that is equal to or greater than the reference value Fref twice or more times, the process illustrated in FIG. The wind speed value v can be processed as an effective wind speed value. As a result, the wind speed value at time T50 is fixed to the wind speed value v that is the maximum wind speed value including the wind speed value v. Therefore, the wind speed monitoring apparatus 10 can process the wind speed value v that is equal to or higher than the reference value Fref due to a gust of wind as an effective wind speed value, and can collect accurate wind speed information. As a result, in the operation control using the wind speed monitoring device 10, smooth and safe operation is performed.

As described above, in the first embodiment, when the wind speed value equal to or higher than the reference value is not continuous twice or more, the wind speed value can be processed as an incorrect wind speed value. Therefore, an incorrect wind speed value can be removed from the received wind speed value, and accurate wind speed information can be collected.
FIG. 6 shows a wind speed monitoring apparatus 10A according to the second embodiment of the present invention. The same elements as those described in the first embodiment are denoted by the same reference numerals, and detailed description thereof will be omitted. The wind speed monitoring apparatus 10A of this embodiment has a reference value calculation unit 40A instead of the reference value calculation unit 40 of the first embodiment. Other configurations are the same as those of the first embodiment.

  When the moving average calculated by the average value calculation unit 30 is greater than or equal to a preset threshold value, the reference value calculation unit 40A has a first determination magnification greater than 1 as in the reference value calculation unit 40 of the first embodiment. Is multiplied by the moving average to calculate the reference value. In addition, when the moving average is smaller than the threshold, the reference value calculation unit 40A calculates a reference value by multiplying the moving average by a second determination magnification that is larger than the first determination magnification.

For example, when there is a change in the range from a windless state to a weak wind state, the moving average of the wind speed value at that time is small, so that the reference value can be reduced by increasing the determination magnification to multiply the moving average. Can be prevented. As a result, the reference value calculation unit 40A can calculate a practical reference value even when the wind speed value is small.
FIG. 7 shows an example of the update operation of the maximum wind speed value including the operation of determining whether or not the wind speed data is invalid in the wind speed monitoring apparatus 10A shown in FIG. The same steps as those described with reference to FIG. 2 are denoted by the same reference numerals, and detailed description thereof will be omitted. The operation in FIG. 7 is executed by adding a comparison process between the moving average Fave and the threshold value TH in step S115 and a reference value Fref calculation process in step S117 to the operation in FIG. Since other operations are the same as those in FIG. 2, detailed description thereof is omitted.

Steps S115, S116, and S117 are executed by the reference value calculation unit 40A, and may be realized only by hardware, or may be realized by controlling the hardware by software. 10 A of wind speed monitoring apparatuses implement the flow of step S112-S130 each time the wind speed data WD is received after implementation of step S110 (initialization process).
In step S115, the reference value calculation unit 40A determines whether or not the moving average Fave of the wind speed value calculated in step S114 by the average value calculation unit 30 is greater than or equal to a preset threshold value TH. When the moving average Fave is greater than or equal to the threshold value TH, in step S116, the reference value calculation unit 40A multiplies the moving average Fave by a first determination magnification N1 that is greater than 1, and calculates a reference value Fref (Fref = Fave · N1). .

On the other hand, when the moving average Fave is smaller than the threshold value TH, in step S117, the reference value calculation unit 40A multiplies the moving average Fave by a second determination magnification N2 that is larger than the first determination magnification N1, and thereby generates a reference value Fref (Fref = Fave). Calculate N2).
For example, when the first and second determination magnifications (N1 and N2) are set in advance to 3 and 6, respectively, the reference value Fref is changed to the value shown below by the processing in steps S115, S116, and S117 described above. Become. The reference value Fref is three times the moving average Fave when the moving average Fave is equal to or greater than the threshold value TH, and is six times the moving average Fave when the moving average Fave is smaller than the threshold value TH. Note that, when the moving average Fave is not calculated, the reference value calculation unit 40A sets a preset initial value (for example, 10 m / s) as the reference value Fref as in the process of the first embodiment.

FIG. 8 shows an example of the relationship between the wind speed value received by the wind speed monitoring device 10A shown in FIG. 6 and the determined wind speed value in the aggregation time. Detailed description of the same operations as those in FIG. 5 described above will be omitted. This embodiment is different from the first embodiment in the reference value Fref calculation method. Other operations are the same as those in the first embodiment (FIG. 5).
In the example in the figure, the wind speed monitoring apparatus 10A receives the wind speed value (wind speed data WD shown in FIG. 6) every 250 milliseconds. Then, the wind speed monitoring apparatus 10A determines the maximum wind speed value within the aggregation time T of 2 seconds as the wind speed value at that time. The moving average threshold TH for selecting a reference value calculation method is preset to 3 m / s. The first and second determination magnifications (N1 and N2) are preset to 3 and 6, respectively.

  Time T60 shows a case where the wind speed value changes within a small range. In this case, the moving average Fave (about 2 m / s) is smaller than the threshold value TH (3 m / s). Therefore, the wind speed monitoring apparatus 10A multiplies the moving average Fave by a second determination magnification N2 (= 6) that is larger than the first determination magnification N1 (= 3) to obtain a reference value Fref (Fref = Fave · N2, about 12 m / s) is calculated.

  That is, when the wind speed value is small, the wind speed monitoring device 10A can prevent the reference value from becoming small, and can calculate a practical reference value. Accordingly, for example, when a wind speed value f (about 6 m / s) equal to or higher than a reference value obtained by multiplying the moving average Fave by the first determination magnification N1 is generated only once, it is prevented from being determined as an invalid wind speed value. it can. Therefore, the wind speed value at time T60 is determined to be the wind speed value f (about 6 m / s) that is the maximum wind speed value including the wind speed value f. As a result, the wind speed monitoring apparatus 10A can collect accurate wind speed information even when the wind speed value is small.

  Time T70 shows a case where the moving average Fave is greater than or equal to the threshold value TH. In the example in the figure, when the wind speed value j is received, the moving average Fave (for example, addition of the wind speed value bi) / 8 becomes equal to or greater than the threshold value TH (3 m / s). For this reason, when the wind speed value j is received, the wind speed monitoring apparatus 10A multiplies the moving average Fave by the first determination magnification N1 (= 3) to calculate the reference value Fref (Fref = Fave · N1). When the wind speed value i is received, a reference value Fref (Fref = Fave · N2) obtained by multiplying the moving average Fave by the second determination magnification N2 (= 6) is calculated.

  The processing of the wind speed value o equal to or greater than the reference value Fref is the same as the wind speed value m at time T30 shown in FIG. In other words, the wind speed monitoring apparatus 10A can remove the wind speed value o (about 34 m / s) that is not more than twice as high as the reference value Fref as an invalid wind speed value. Therefore, the wind speed monitoring apparatus 10A can determine the wind speed value at time T70 as the wind speed value m (about 11 m / s) that is the maximum wind speed value excluding the wind speed value o. Thereby, smooth operation is implemented by operation control using 10A of wind speed monitoring apparatuses. For example, when the wind speed is 20 m / s or more, in a warning state, when the wind speed is 25 m / s or more, slow driving, and when the wind speed is 30 m / s or more, the operation is stopped. Smooth operation is carried out without being carried out by mistake.

  Time T80 corresponds to time T50 shown in FIG. That is, the wind speed monitoring device 10A can process the wind speed value v as an effective wind speed value because it receives the wind speed value u, v and the wind speed value that is equal to or greater than the reference value Fref twice. As a result, the wind speed value at time T80 is fixed to the wind speed value v (about 34 m / s), which is the maximum wind speed value including the wind speed value v. For example, in the case of the above-described operation control, at time T80, the operation of the train is stopped and a safe operation is performed.

As mentioned above, also in 2nd Embodiment, the effect similar to 1st Embodiment mentioned above can be acquired. Furthermore, by comparing the threshold value TH with the moving average Fave of the wind speed value, an appropriate determination magnification can be selected, and accurate wind speed information can be collected even when the wind speed value is small.
FIG. 9 shows an example of the update operation of the maximum wind speed value including the operation of determining whether or not the wind speed data is invalid in the third embodiment of the present invention. The same steps as those described in FIG. 7 are given the same reference numerals, and detailed description thereof will be omitted. The overall configuration of the wind speed monitoring apparatus of this embodiment is the same as that of the second embodiment except for the reference value calculation unit 40A shown in FIG. Note that the reference value calculation unit of this embodiment performs the reference value Fref setting process of step S117A instead of the reference value Fref calculation process of step S117 of FIG. 7 described above. This is the same as the value calculation unit 40A. Since other operations are the same as those in FIG. 7, detailed description thereof is omitted.

Step S117A is executed by the reference value calculation unit and may be realized only by hardware, or may be realized by controlling the hardware by software. The wind speed monitoring apparatus performs the flow of steps S112 to S130 every time the wind speed data WD is received after the execution of step S110 (initialization process).
When the moving average Fave of the wind speed value calculated in step S114 is smaller than the threshold value TH, in step S117A, the reference value calculation unit sets the reference value Fref to a preset fixed value INT2.

  For example, when the first determination magnification N1 is preset to 3 and the fixed value INT2 is preset to 12 m / s, the reference value Fref becomes a value shown below by the processing of steps S115, S116, and S117A. . The reference value Fref is three times the moving average Fave when the moving average Fave is equal to or greater than the threshold value TH, and is fixed at 12 m / s when the moving average Fave is smaller than the threshold value TH. Note that, when the moving average Fave is not calculated, the reference value calculation unit sets a preset initial value (for example, 10 m / s) as the reference value Fref as in the process of the second embodiment. Further, the fixed value INT2 and the initial value may be the same value (for example, 12 m / s). In this case, since the process when the moving average Fave is not calculated can be made the same as the process when the moving average Fave is smaller than the threshold value TH, the calculation process of the reference value Fref can be executed with simple control.

  FIG. 10 shows an example of the relationship between the wind speed value received by the wind speed monitoring apparatus according to the third embodiment of the present invention and the determined wind speed value in the aggregation time. Detailed description of the same operations as those in FIG. 8 described above will be omitted. This embodiment is different from the second embodiment in the reference value Fref calculation method. Other operations are the same as those in the second embodiment (FIG. 8). In the example in the figure, the wind speed value reception interval, the aggregation time T, the threshold value TH, and the first determination magnification N1 are the same as those in the second embodiment (FIG. 8). The fixed value INT2 is preset to 12 m / s.

At time T60, since the moving average Fave (about 2 m / s) is smaller than the threshold value TH (3 m / s), the wind speed monitoring apparatus sets the reference value Fref to a fixed value INT2 (= 12 m / s). Thereby, the wind speed monitoring device can prevent the reference value from becoming small when the wind speed value is small, and can calculate a practical reference value.
As described above, also in the third embodiment, the same effect as in the second embodiment described above can be obtained. Furthermore, when the wind speed value is smaller than the threshold value TH, the reference value Fref can be set to the fixed value INT2 regardless of the moving average Fave, so that the reference value Fref calculation process can be simplified. Further, when the fixed value INT2 and the initial value are set to the same value, the process when the moving average Fave is not calculated can be made the same as the process when the moving average Fave is smaller than the threshold value TH. This calculation process can be executed with simpler control.

  In the above-described embodiment, the example in which the wind speed value measured by one anemometer 100 is processed has been described. The present invention is not limited to such an embodiment. For example, as shown in FIG. 11, the wind speed monitoring apparatus 10 receives a plurality of wind speed data WD measured by the plurality of anemometers 100 and performs the processing shown in FIGS. 2 and 3 for each anemometer 100. May be implemented. Also in this case, the same effect as the above-described embodiment can be obtained.

  In the above-described embodiment, the example in which the continuous flag is reset to 0 (step S126) after the data update (step S124) in the operation flows of FIGS. 2, 7, and 9 has been described. The present invention is not limited to such an embodiment. For example, as shown in FIG. 12, only when the wind speed data WD is smaller than the reference value Fref, the continuous flag may be reset to 0 (step S123) before the data update (step S124). The operation flow shown in FIG. 12 is different from the operation flow shown in FIG. 2 described above in the timing for resetting the continuous flag to 0. Other operations are the same as those shown in FIG.

  Only when the wind speed data WD is smaller than the reference value Fref (No in step S118), the determination unit of the wind speed monitoring device resets the continuous flag to 0 in step S123. As a result, the continuous flag is always maintained at 1 while the wind speed data WD equal to or greater than the reference value Fref is received twice or more. As a result, when the wind speed monitoring apparatus receives the wind speed data WD that is equal to or greater than the reference value Fref twice or more consecutively, only the wind speed data WD that is equal to or greater than the first received reference value Fref can be processed as invalid wind speed data. In step S124, the wind speed monitoring apparatus may update the wind speed data WD that is equal to or higher than the first received reference value Fref as valid wind speed data. Also in this case, the same effect as the above-described embodiment can be obtained.

  In the second and third embodiments described above, the example in which one of the two reference value calculation methods is selected based on one threshold in the operation flows of FIGS. 7 and 9 has been described. The present invention is not limited to such an embodiment. For example, the reference value calculation unit may select one of three or more reference value calculation methods using a plurality of threshold values. Also in this case, the same effects as those of the second and third embodiments described above can be obtained.

  As mentioned above, although this invention was demonstrated in detail, said embodiment and its modification are only examples of this invention, and this invention is not limited to this. Obviously, modifications can be made without departing from the scope of the present invention.

  The present invention can be used for a wind speed monitoring device and a method of operating the wind speed monitoring device.

It is a block diagram which shows the 1st Embodiment of this invention. It is a flowchart which shows an example of the update operation | movement of the maximum wind speed value including the determination operation | movement of whether the wind speed data is invalid in the wind speed monitoring apparatus shown in FIG. It is a flowchart which shows an example of the aggregation operation | movement of the wind speed value in the wind speed monitoring apparatus shown in FIG. It is a flowchart which shows the comparative example of the update operation | movement of the maximum wind speed value of this invention. It is explanatory drawing which shows an example of the relationship between the wind speed value which the wind speed monitoring apparatus shown in FIG. 1 received, and the wind speed value decided in aggregation time. It is a block diagram which shows the 2nd Embodiment of this invention. It is a flowchart which shows an example of the update operation | movement of the maximum wind speed value including the determination operation | movement of whether the wind speed data is invalid in the wind speed monitoring apparatus shown in FIG. It is explanatory drawing which shows an example of the relationship between the wind speed value which the wind speed monitoring apparatus shown in FIG. 6 received, and the wind speed value decided in aggregation time. It is a flowchart which shows an example of the update operation | movement of the maximum wind speed value including the determination operation | movement of whether the wind speed data is invalid in the 3rd Embodiment of this invention. It is explanatory drawing which shows an example of the relationship between the wind speed value which the wind speed monitoring apparatus of 3rd Embodiment received, and the fixed wind speed value in aggregation time. It is a block diagram which shows the modification of 1st Embodiment. It is a flowchart which shows another example of update operation | movement of the maximum wind speed value including the determination operation | movement of whether the wind speed data in the wind speed monitoring apparatus shown in FIG. 1 is invalid.

Explanation of symbols

10, 10A ... wind speed monitoring device; 20 ... wind speed data receiving section; 30 ... average value calculating section; 32, 70 ... storage section; 40, 40A ... reference value calculating section; 50 ... determination section; 100: Anemometer; 110: Transmitter; Fave: Moving average of wind speed values; Fmax: Maximum wind speed value; Fn: Valid latest wind speed value; Fref: Reference value; INT: Initial value of reference value; Fixed value; N1 ··· First decision magnification; N2 ··· Second decision magnification; T · Aggregation time · TH · Threshold value · WD · Wind speed data

Claims (6)

An average value calculating unit that sequentially calculates a moving average of wind speed values using wind speed values sequentially measured by an anemometer,
A reference value calculation unit that calculates a reference value by multiplying the moving average by a first determination magnification greater than 1 each time the moving average is calculated by the average value calculation unit;
A determination unit that invalidates a wind speed value that is equal to or higher than the reference value that does not continue twice or more ,
The determination unit detects a maximum wind speed value every predetermined time by removing an invalid wind speed value from a wind speed value within a predetermined time . The wind speed monitoring device according to claim 1,
The reference value calculation unit calculates a reference value by multiplying the moving average by a second determination magnification larger than the first determination magnification when the moving average is smaller than a preset threshold, and the moving average is A wind speed monitoring apparatus, wherein when the threshold value is equal to or greater than a threshold value, a reference value is calculated by multiplying the moving average by the first determination magnification. The wind speed monitoring device according to claim 1,
The reference value calculation unit fixes the reference value to a preset value when the moving average is smaller than a preset threshold value, and sets the first determination magnification when the moving average is equal to or greater than the threshold value. A wind speed monitoring device, wherein a reference value is calculated by multiplying a moving average. Using the wind speed values that are sequentially measured by the anemometer, calculate the moving average of the wind speed values sequentially,
Every time the moving average is calculated, a reference value is calculated by multiplying the moving average by a first determination magnification larger than 1.
Invalidate wind speed values above the reference value that do not continue more than once ,
An operating method of a wind speed monitoring device, wherein an invalid wind speed value is excluded from wind speed values within a predetermined time, and a maximum wind speed value is detected every predetermined time . The operation method of the wind speed monitoring device according to claim 4,
When the moving average is smaller than a preset threshold, the moving average is multiplied by a second determination magnification larger than the first determination magnification to calculate a reference value, and when the moving average is equal to or larger than the threshold, the first A method for operating a wind speed monitoring apparatus, wherein a reference value is calculated by multiplying the moving average by one determination magnification. The operation method of the wind speed monitoring device according to claim 4,
When the moving average is smaller than a preset threshold value, the reference value is fixed to a preset value, and when the moving average is equal to or greater than the threshold value, the moving average is multiplied by the first determination magnification as a reference. A method for operating a wind speed monitoring device, characterized in that a value is calculated.

Images