JP6142899B2 - Noise evaluation system and noise evaluation method - Google Patents

Description

  The present invention relates to a noise evaluation system and a noise evaluation method.

  Various noises may be generated from an aerial power transmission facility composed of transmission lines and steel towers. Noise sources generated from overhead power transmission facilities are (1) wind noise from the transmission line, (2) corona sound from the transmission line, (3) wind noise from the insulator, and (4) wind noise from the tower. Broadly divided, these noises each have a unique frequency band and tone color.

  If the above-mentioned noise is generated from an overhead power transmission facility, there may be complaints about the noise from residents living in the vicinity of the overhead power transmission facility. In this case, whether or not the noise that is the object of the complaint has actually occurred is evaluated based on, for example, a prominent amount in which the noise level at the peak of the noise spectrum is superior to the noise level of the background noise spectrum (for example, Patent Document 1).

JP 2002-171625 A

  In the conventional methods, when a complaint occurs, the noise spectrum to be evaluated is acquired, and the background noise spectrum is predicted based on the spectrum shape around the peak in the noise spectrum to be evaluated.

  However, in the conventional methods, the method of obtaining the background noise spectrum differs from measurement to measurement and is unstable. For this reason, the accuracy of the predicted background noise spectrum may be reduced.

  An object of the present invention is to provide a noise evaluation system and a noise evaluation method capable of obtaining an accurate background noise spectrum.

According to one aspect of the invention,
A noise evaluation system for evaluating noise from an object,
Spectrum acquisition means for acquiring a plurality of background noise spectra at a predetermined frequency;
Weather data acquisition means for acquiring weather data when each of the plurality of background noise spectra is acquired;
A database that associates a background noise condition including at least one of a date and time zone when each of the plurality of background noise spectra is acquired and the meteorological data with each of the plurality of background noise spectra and stores them in a database. And
A noise evaluation system comprising: extraction means for extracting the background noise spectrum associated with the background noise condition that matches the search condition when a search condition including at least one of a date and time zone and weather data is received; Is provided.

According to another aspect of the invention,
A noise evaluation method for evaluating noise from an object,
A spectrum acquisition step of acquiring a plurality of background noise spectra at a predetermined frequency;
A weather data acquisition step of acquiring weather data when each of the plurality of background noise spectra is acquired;
A database that associates each of the plurality of background noise spectra with a background noise condition that includes at least one of the date and time zone and the weather data when each of the plurality of background noise spectra is acquired, and stores the database in a database Conversion process,
A noise evaluation method comprising: an extraction step of extracting the background noise spectrum associated with the background noise condition that matches the search condition when a search condition including at least one of a date and time zone and weather data is received Is provided.

  According to the present invention, a noise evaluation system and a noise evaluation method capable of obtaining a highly accurate background noise spectrum are provided.

It is the schematic which shows the structure of the noise evaluation system which concerns on one Embodiment of this invention. It is the schematic which shows the structure of the noise measuring device which concerns on one Embodiment of this invention. It is the schematic which shows the structure of the external evaluation part which concerns on one Embodiment of this invention. It is a figure which shows the flow of the scheduled measurement mode which concerns on one Embodiment of this invention. It is a figure which shows the flow of the measurement mode at the time of the complaint generation which concerns on one Embodiment of this invention. It is the figure which compared the noise spectrum and background noise spectrum of evaluation object.

<One Embodiment of the Present Invention>
(1) Schematic Configuration of Noise Evaluation System First, a noise evaluation system 10 according to an embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a schematic diagram illustrating a configuration of a noise evaluation system according to the present embodiment. FIG. 2 is a schematic diagram illustrating a configuration of the noise measurement device according to the present embodiment. In FIG. 2, a solid line indicates a power supply line, and a dotted line indicates a signal line. FIG. 3 is a schematic diagram illustrating the configuration of the external evaluation unit according to the present embodiment.

  The noise evaluation system 10 of the present embodiment acquires a plurality of background noise spectra at a predetermined frequency in advance and creates a database. When a complaint occurs, the noise evaluation system 10 acquires the noise spectrum to be evaluated, The background noise spectrum extracted from the database is compared. Specifically, the noise evaluation system 10 includes, for example, a noise measurement device 20 and an external evaluation unit 40.

  In the present embodiment, “background noise” is mainly noise generated from the surrounding environment other than the object, and can be rephrased as background noise or background noise. On the other hand, “evaluation target noise” is, for example, noise measured when a complaint occurs, and whether or not the noise causing the complaint is generated from the object is evaluated. This is the noise subject to In the following, when simply saying “noise”, it may mean both background noise and noise to be evaluated. Further, the “noise spectrum” is a spectrum obtained by frequency analysis of noise. When simply referred to as “noise spectrum”, it may mean both a background noise spectrum and a noise spectrum to be evaluated. Further, the “noise level” is the noise level (volume).

  As shown in FIG. 1, in the present embodiment, an object whose noise is to be evaluated is configured as an overhead power transmission facility 90, for example. An overhead power transmission facility 90 as a noise target has a plurality of steel towers 920 provided at a predetermined interval, and a power transmission line 900 extended between the plurality of steel towers 920. For example, the noise measuring device 20 of the present embodiment is arranged on a steel tower 920.

(Noise measurement equipment)
As shown in FIGS. 1 and 2, the noise measuring device 20 is configured to measure noise in the vicinity of the overhead power transmission facility 90, and includes, for example, a main body 200 and a power supply unit 300.

  The main body 200 is configured to be able to acquire sound data of noise or to acquire numerical data of noise spectrum. For example, a microphone (sound collecting means) 212, a sound level meter (noise measuring means) 210, , A recorder (audio data recording means) 220, a device-side control unit 260, and a device-side transmitting / receiving unit 240.

  The microphone 212 is provided in the vicinity of the overhead power transmission facility 90, and is configured to acquire noise from the overhead power transmission facility 90 and convert it into an electrical signal.

  The sound level meter 210 is connected to a microphone 212 and is configured to output numerical data of a noise spectrum by performing frequency analysis based on an electrical signal of noise from the microphone 212. The frequency analysis here is performed by, for example, 1/3 octave band analysis. The 1/3 octave band analysis is a method of performing frequency analysis at each point obtained by dividing one octave of frequency into three.

  The recorder 220 is connected to the microphone 212 via the sound level meter 210, and is configured to record sound data of noise in the sound data recording unit 230. The audio data recording unit 230 is configured as, for example, a flash memory, and is configured to record audio data so as to be readable and to be portable.

  The device-side control unit 260 is connected to the sound level meter 210 via a power line and a signal line, and is configured to control the sound level meter 210 to acquire noise spectrum numerical data based on a predetermined signal (execution command). Has been. In addition, the device-side control unit 260 is configured to record the numerical data of the noise spectrum in the spectrum recording unit 270. The spectrum recording unit 270 is configured, for example, as a flash memory, and is configured to be able to read and store the numerical data of the noise spectrum so as to be portable. In the following, “numeric data of noise spectrum” may be simply referred to as “noise spectrum”.

  The device-side control unit 260 is connected to the recorder 220 via a power line and a signal line, and controls the recorder 220 so as to acquire sound data of noise based on a predetermined signal (execution command). It is configured.

  The device-side control unit 260 is connected to a power supply unit 300 described later as a battery monitor, and is configured to detect the state of the battery voltage.

  In addition, the device-side control unit 260 is connected to the device-side transmission / reception unit 240 via the protocol converter 250, and is configured to send and receive e-mails via a predetermined communication line. For example, the device-side control unit 260 controls the sound level meter 210 or the recording meter 220 based on a predetermined signal (execution command) received by e-mail from the external evaluation unit 40 described later. In addition, for example, the device-side control unit 260 transmits the numerical data of the noise spectrum to the external evaluation unit 40 by e-mail based on a preinstalled program or a request signal received by e-mail from the external evaluation unit 40. It has become. Furthermore, for example, the device-side control unit 260 has a small remaining capacity of the audio data recording unit 230 or the spectrum recording unit 270 when the battery voltage decreases, or when a measurement abnormality or the like of the sound level meter 210 or the recording meter 220 occurs. When such a situation occurs, an alarm is sent to the external evaluation unit 40 by e-mail.

  In addition, the DC / DC converter 280 is connected to a power supply unit 300, which will be described later, via a power supply line, and is connected to the device side control unit 260 and the protocol converter 250 via the power supply line. 260 and the protocol converter 250 are each configured to supply power by converting the voltage to a voltage lower than the battery voltage. A voltmeter 290 is connected between the DC / DC converter 280 and the power supply unit 300 via a switch (not shown), and the voltmeter 290 can display the battery voltage.

  The power supply unit 300 is configured to self-generate power and supply the self-generated power to the main body unit 200, for example, and includes a solar panel 320, a charge control unit 340, and a battery 360, for example.

  The solar panel 320 is configured to generate power by sunlight, and a plurality of solar panels 320 are installed at a predetermined height of the steel tower 920, for example.

  The battery 360 is configured to store the power supplied by the solar panel 320 and to supply the stored power.

  The charging control unit 340 is connected to the solar panel 320 and the battery 360, and is connected to the main body unit 200 so as to control charging from the solar panel 320 to the battery 360 and to control power supply to the main body unit 200. It is configured.

(External Evaluation Department)
As shown in FIGS. 1 and 3, the external evaluation unit 40 is located at a location away from the noise measurement device 20 and is used as an object based on various data sent from the noise measurement device 20 by e-mail. The noise from the overhead power transmission facility 90 is evaluated. Specifically, the external evaluation unit 40 includes, for example, an external transmission / reception unit 520 and an external control unit 400.

  The external transmission / reception unit 520 is configured to perform transmission / reception of e-mails with the noise measurement device 20 via a predetermined communication line. In FIG. 3, the protocol converter between the external transmission / reception unit 520 and the external control unit 400 is omitted.

  The external control unit 400 is for performing control necessary for noise evaluation. Specifically, the CPU (Central Processing Unit) 412, RAM (Random Access Memory) 414, HDD (Hard Disk Drive) or SSD The storage unit 416 is configured by (Solid State Drive), an interface 540, and the like.

  The storage unit 416 is configured to store various data and programs related to noise evaluation. For example, the storage unit 416 is configured to store voice data of background noise, background noise spectrum, voice data of noise to be evaluated, noise spectrum, and the like measured by the noise measuring device 20. Among these, the background noise spectrum is stored in the storage unit 416 as a database as will be described later.

The external control unit 400 is configured to function as the following various units when the CPU 412 executes a predetermined program stored in the storage unit 416.
The spectrum acquisition means 420 transmits a predetermined signal (execution command) to the noise measurement device 20 to obtain a plurality of background noise spectra from the noise measurement device 20 at a predetermined frequency (periodically or periodically). The noise spectrum to be evaluated is acquired when a complaint occurs (at an arbitrary timing).
The exclusion unit 430 is configured to exclude a background noise spectrum having an abnormal protruding peak from the plurality of background noise spectra acquired by the spectrum acquisition unit 420.
The averaging means 440 is configured to average a plurality of background noise spectra acquired in the same date and time zone (time zone) and create an averaged background noise spectrum.
The meteorological data acquisition unit 450 is configured to acquire meteorological data when the background noise spectrum or the noise spectrum to be evaluated is acquired, for example, by accessing a website of the Japan Meteorological Agency.
The database creation unit 460 associates (associates) the background noise condition including at least one of the date and time zone and the weather data when each of the plurality of background noise spectra is acquired with each of the plurality of background noise spectra. Configured to be stored in the database.
When receiving the search condition including at least one of the date and time zone and the weather data from the interface 540 or the like, the extraction unit 470 extracts the background noise spectrum associated with the background noise condition that matches the search condition from the database. It is configured.
The spectrum comparison unit 480 is configured to compare a predetermined noise spectrum such as a noise spectrum to be evaluated with the above-described background noise spectrum.
Details of the above-described noise evaluation method by each means will be described later.

  The predetermined program for realizing each of these functions is used by being installed in the external control unit 400, and is provided by being stored in a storage medium readable by the external control unit 400 prior to the installation. Alternatively, it may be provided to the external control unit 400 through a communication line connected to the external control unit 400.

  Further, the interface 540 is configured to allow the user of the noise evaluation system 10 to output information or input information as necessary. Specifically, the interface 540 is configured as a touch panel including a liquid crystal display or an organic EL display.

(2) Noise Evaluation Method Next, the noise evaluation method according to the present embodiment will be described with reference to FIGS. 4 and 5. FIG. 4 is a diagram illustrating a flow of the regular measurement mode according to the present embodiment. FIG. 5 is a diagram illustrating a flow of the complaint occurrence measurement mode according to the present embodiment. Note that step is abbreviated as S.

  The noise evaluation system 10 of the present embodiment has a regular measurement mode and a complaint occurrence measurement mode. The regular measurement mode is a mode for measuring background noise, which is noise from the surrounding environment of the overhead power transmission facility 90, at a predetermined frequency and creating a database of background noise spectra at the stage where no complaint has occurred. On the other hand, the complaint occurrence measurement mode is a mode for obtaining a noise spectrum to be evaluated when a complaint occurs and comparing the noise spectrum to be evaluated with the background noise spectrum extracted from the database. . Details will be described below.

(2-1) Scheduled Measurement Mode For example, a request for starting the scheduled measurement mode is input to the interface 540 of the external evaluation unit 40 by the user of the noise evaluation system 10 when no complaint has occurred. The spectrum acquisition unit 420 of the external evaluation unit 40 transmits a signal (execution command) for starting the scheduled measurement mode to the noise measurement device 20 via the external transmission / reception unit 520. Thereby, the noise evaluation system 10 starts the following scheduled measurement mode.

(S110: Determination of acquisition timing)
As illustrated in FIG. 4, the device-side control unit 260 of the noise measurement device 20 determines whether it is time to acquire a background noise spectrum. For example, it is determined whether the background noise spectrum is acquired at any time of 0:00, 5:00, 12:00, or 17:00.

  In addition, when it is not the timing which acquires a background noise spectrum (it is No at S110), the apparatus side control part 260 waits until it becomes a predetermined timing.

(S120: Spectrum acquisition step)
When it is time to acquire the background noise spectrum (Yes in S110), the device-side control unit 260 of the noise measurement device 20 controls the sound level meter 210 so as to acquire numerical data of the background noise spectrum. At this time, for example, the noise spectrum is acquired every second (ie, the number of data is 60) from the time when the background noise spectrum is acquired until 1 minute. In addition, the device-side control unit 260 records the numerical data of the background noise spectrum acquired from the sound level meter 210 in the spectrum recording unit 270.

  Next, the device-side control unit 260 transmits the numerical data of the background noise spectrum acquired from the sound level meter 210 via the device-side transmitting / receiving unit 240 to the external evaluation unit 40 by e-mail.

  And the spectrum acquisition means 420 of the external evaluation part 40 acquires the numerical data of a background noise spectrum by receiving the email from the noise measuring device 20 via the external transmission / reception part 520.

(S130: Exclusion process)
Next, the exclusion unit 430 of the external evaluation unit 40 excludes the background noise spectrum having an abnormal protruding peak from the plurality of background noise spectra acquired by the spectrum acquisition unit 420. The “background noise spectrum having an abnormal peak” as used herein means, for example, the influence of an instantaneous disturbance such as when a vehicle passes near the overhead power transmission facility 90 when background noise is acquired. This means a background noise spectrum having a prominent peak due to. The “protruding peak” means a peak protruding by a predetermined frequency band from a broad spectrum of background noise. Further, “exclude background noise spectrum” means that the corresponding background noise spectrum is deleted without being stored in a database to be described later. For example, when a background noise spectrum having a prominent peak in a predetermined frequency band (for example, 100 Hz to 1000 Hz) is acquired at the stage where no complaint has occurred, it is determined that the background noise spectrum includes car noise. Then, the background noise spectrum is excluded.

(S140: Averaging process)
Next, the averaging means 440 of the external evaluation unit 40 averages a plurality of background noise spectra acquired in the same date and time zone (time zone). Specifically, for example, the background noise spectrum for one minute (60) acquired in a predetermined time zone (for example, 0 o'clock) by the spectrum acquisition unit 420 is averaged to create an averaged background noise spectrum. . Note that the background noise spectrum excluded by the exclusion unit 430 is not used for averaging by the averaging unit 440.

(S150: Weather data acquisition process)
Next, when the meteorological data acquisition unit 450 of the external evaluation unit 40 acquires a background noise spectrum from information on the closest AMeDAS from the overhead power transmission facility 90 as an object, for example, by accessing the website of the Japan Meteorological Agency Get meteorological data. The weather data acquired here is, for example, humidity, precipitation, wind speed, and wind direction. As described above, the background noise spectrum is acquired every second, while the AMeDAS information is updated every minute. For this reason, by averaging the background noise spectrum for one minute as described above, the weather data is acquired so as to match the timing at the same time.

(S160: Database creation process)
Next, the database creation unit 460 of the external evaluation unit 40 includes a background noise condition including at least one of the date and time zone when the background noise spectrum is acquired and the weather data acquired by the weather data acquisition unit 450, and background noise. The spectra are associated with each other and stored in the database of the storage unit 416.

  Here, the weather data included in the background noise condition used for the association includes at least humidity. Further, the weather data included in the background noise condition may further include at least one of precipitation, wind speed, and wind direction.

  Specifically, the background noise conditions are configured, for example, as shown in Table 1 below, and include the month, season, time (time zone), humidity, precipitation, average wind speed, maximum wind speed, and wind direction. . Each condition included in the background noise condition is classified and grouped, for example, for each predetermined range.

  Thus, by grouping and classifying the conditions included in the background noise condition for each predetermined range, it becomes easy to match the search condition and the background noise condition in the extraction step S230 described later.

  The above processes from the spectrum acquisition step S120 to the database creation step S160 are defined as one cycle, and this cycle is repeated. By repeating this cycle over one year, the background noise spectrum can be associated with all the date / time zones included in the background noise condition.

  The scheduled measurement mode can be terminated as follows. The user of the noise evaluation system 10 inputs a request for ending the scheduled measurement mode to the interface 540 of the external evaluation unit 40. The spectrum acquisition unit 420 of the external evaluation unit 40 transmits a signal (execution command) for ending the scheduled measurement mode to the noise measurement device 20 via the external transmission / reception unit 520. As a result, the noise measurement device 20 ends the above-described scheduled measurement mode.

(2-2) Complaint Occurrence Measurement Mode For example, when a complaint is generated from a neighbor about noise in the overhead power transmission facility 90, the complaint occurrence measurement mode is started as follows. Note that the complaint-time measurement mode may be started after the scheduled measurement mode is ended, or the complaint-time measurement mode may be started in parallel with the scheduled measurement mode.

  When a complaint occurs, a request for starting the complaint occurrence measurement mode is input to the interface 540 of the external evaluation unit 40 by the user of the noise evaluation system 10. The spectrum acquisition unit 420 of the external evaluation unit 40 transmits a signal (execution command) for starting the complaint occurrence measurement mode to the noise measurement device 20 via the external transmission / reception unit 520. Thereby, the noise evaluation system 10 starts the following complaint occurrence measurement mode.

(S210: Target spectrum acquisition step)
As shown in FIG. 5, when the noise measurement device 20 receives a signal (execution command) for starting the measurement mode when a complaint occurs, the device-side control unit 260 of the noise measurement device 20 determines the noise spectrum to be evaluated. The sound level meter 210 is controlled to acquire numerical data. In addition, the device-side control unit 260 records the numerical data of the noise spectrum to be evaluated acquired from the sound level meter 210 in the spectrum recording unit 270.

  Next, the device-side control unit 260 transmits the numerical data of the evaluation target noise spectrum acquired from the sound level meter 210 to the external evaluation unit 40 via the device-side transmission / reception unit 240 by e-mail.

  Then, the spectrum acquisition unit 420 of the external evaluation unit 40 receives the e-mail from the noise measurement device via the external transmission / reception unit 520, thereby acquiring numerical data of the noise spectrum to be evaluated.

(S220: Target weather data acquisition process)
The meteorological data acquisition means 450 of the external evaluation unit 40 accesses the website of the Japan Meteorological Agency in the same way as the regular measurement mode, and from the information of the AMeDAS closest to the overhead power transmission equipment 90 as the object, Get the weather data when you get the spectrum.

(S230: Extraction process)
The extraction means 470 of the external evaluation unit 40 uses a condition including at least one of the date / time zone and weather data when the noise spectrum to be evaluated is acquired as a search condition, and is associated with the background noise condition that matches the search condition. The background noise spectrum is extracted from the database. The extracted background noise spectrum is an averaged background noise spectrum.

  Note that when there is no background noise condition that matches the above-described search condition, the extraction unit 470 extracts a background noise spectrum associated with the background noise condition closest to the search condition. Thereby, even when there is no background noise condition that matches the search condition, it is possible to always extract one background noise spectrum measured under the background noise condition closest to the search condition.

(S240: Spectrum comparison step)
Next, the spectrum comparison unit 480 of the external evaluation unit 40 compares the noise spectrum to be evaluated with the background noise spectrum extracted by the extraction unit 470. Then, the noise spectrum to be evaluated and the background noise spectrum extracted by the extraction unit 470 are displayed on the interface 540.

Here, FIG. 6 is a diagram comparing the noise spectrum to be evaluated and the background noise spectrum.
As shown in FIG. 6, by comparing the noise spectrum to be evaluated and the background noise spectrum, for example, in the 125 Hz frequency band of the noise spectrum to be evaluated, a peak whose noise level is superior to that of the background noise spectrum is obtained. It is understood that it has occurred.

  At this time, the spectrum comparison means 480 obtains the peak amount D of noise that is superior to the background noise spectrum in the noise spectrum of the evaluation target by taking the difference between the noise spectrum and the background noise spectrum of the evaluation target. calculate.

  In the example of FIG. 6, since the noise level of the noise spectrum to be evaluated is 26 dB and the noise level of the background noise spectrum is 14.5 dB in the 125 Hz frequency band, the dominant amount D is calculated as 11.5 dB. The

  At this time, the spectrum comparison unit 480 determines whether or not the dominant amount D is greater than or equal to the threshold value, and determines that the noise causing the complaint has occurred when the outstanding amount D is equal to or greater than the threshold value. To do. From the results of the psychoacoustic survey conducted on 500 people, it is known that when the dominant amount D is 5 dB or more, 15% or more of the people feel uncomfortable with noise. For this reason, it is considered that a complaint of noise may occur when the dominant amount D is 5 dB or more. Therefore, the above threshold value is set to 5 dB, for example.

  In the example of FIG. 6, the dominant amount D is 11.5 dB, which is equal to or greater than the threshold (5 dB), so the spectrum comparison unit 480 determines that the noise that caused the complaint has occurred.

  At this time, noise voice data may be acquired as follows. First, the spectrum comparison unit 480 transmits a signal (execution command) for recording the audio data of the noise to be evaluated for a predetermined time when the prominent amount D is equal to or greater than the threshold value via the external transmission / reception unit 520. 20 to send. When the noise measuring device 20 receives the signal, the device-side control unit 260 of the noise measuring device 20 acquires the sound data of the noise to be evaluated for a predetermined time and records it in the sound data recording unit 230. 220 is controlled. The cause of the noise can be specifically determined by listening to the sound data (tone color) of the noise to be evaluated obtained in this way.

  Thus, the measurement mode at the time of complaint occurrence is terminated.

(3) Effects according to the present embodiment According to the present embodiment, the following one or more effects are achieved.

(A) According to the present embodiment, a plurality of background noise spectra are acquired at a predetermined frequency in the stage where no complaint has occurred, and among the date and time zone and weather data when each of the plurality of background noise spectra is acquired The background noise conditions including at least one of them and each of the plurality of background noise spectra are associated with each other and stored in the database. When a search condition including at least one of the date and time and weather data is received, the background noise spectrum associated with the background noise condition that matches the search condition is extracted from the database. The background noise spectrum extracted in this way is not a spectrum obtained by prediction, but is a spectrum actually measured in the past, and a spectrum that reflects the time zone and weather conditions closely related to the occurrence of noise. It becomes. That is, it is possible to obtain a highly accurate background noise spectrum in accordance with the date / time zone and weather conditions of the search condition.

(B) According to this embodiment, in the averaging step S140, a plurality of background noise spectra acquired in the same date and time zone (time zone) are averaged. Specifically, for example, the background noise spectrum for one minute (60) acquired in a predetermined time zone (for example, 0 o'clock) by the spectrum acquisition unit 420 is averaged to create an averaged background noise spectrum. . Thereby, the influence of the noise contained in each background noise spectrum can be made small.

(C) According to the present embodiment, the exclusion step S130 is performed before the averaging step S140. Specifically, a background noise spectrum having an abnormal protruding peak is excluded from a plurality of acquired background noise spectra. For example, when a certain background noise is acquired, the background noise spectrum may be affected by an instantaneous disturbance such as a car sound, such as when a vehicle passes near the overhead power transmission facility 90. It is done. Therefore, in such a case, the background noise spectrum having a protruding peak due to the influence of instantaneous disturbance is excluded. For example, by removing the background noise spectrum having such a protruding peak and performing the averaging step S140, it is possible to suppress the influence of instantaneous disturbances from being included in the averaged background noise spectrum. As a result, the accuracy of the background noise spectrum in the database can be further improved.

(D) According to the present embodiment, in the complaint occurrence measurement mode, for example, when a complaint occurs, the noise spectrum to be evaluated is acquired, and among the date and time zone and weather data when the noise spectrum to be evaluated is acquired Using a condition including at least one as a search condition, a background noise spectrum associated with a background noise condition that matches the search condition is extracted from the database. Then, the noise spectrum to be evaluated is compared with the background noise spectrum extracted by the extraction unit 470. In this way, by comparing the noise spectrum of the evaluation target with the accurate background noise spectrum, it is clear that the noise level of the evaluation target has a peak where the noise level is superior to that of the background noise spectrum. Can grasp. In addition, it is possible to accurately calculate the prominent amount D of the peak whose noise level is superior to the background noise spectrum in the noise spectrum to be evaluated. As a result, it is possible to improve the accuracy of determining whether or not the noise causing the complaint has occurred.

(E) According to the present embodiment, the meteorological data included in the background noise conditions used for the database association includes at least humidity. The corona sound from the transmission line 900 depends on humidity. Therefore, by creating a database by associating the humidity with the background noise spectrum, the background noise spectrum extracted from the database can be a spectrum reflecting the influence of humidity closely related to the corona sound. When a complaint occurs, the noise spectrum to be evaluated is compared with the background noise spectrum that reflects the influence of humidity to accurately determine whether the noise that caused the complaint is a corona sound. Can grasp.

(F) According to the present embodiment, the meteorological data included in the background noise conditions used for the database association further includes at least one of precipitation, wind speed, and wind direction. Corona sound from transmission lines depends on precipitation as well as humidity. Therefore, a database is created by associating precipitation and the background noise spectrum. When a complaint occurs, the cause of the complaint is compared by comparing the noise spectrum to be evaluated with the background noise spectrum that reflects the effect of precipitation. It is possible to accurately grasp whether or not the noise is a corona sound. Moreover, the wind noise from a power transmission line depends on the wind speed and the wind direction. Therefore, a database was created by associating the wind speed and direction with the background noise spectrum, and when a complaint occurred, the noise spectrum to be evaluated was compared with the background noise spectrum reflecting the effect of the wind speed and direction. It is possible to accurately grasp whether or not the noise that caused the noise is wind noise from the transmission line.

<Other Embodiments of the Present Invention>
As mentioned above, although embodiment of this invention was described concretely, this invention is not limited to the above-mentioned embodiment, It can change variously in the range which does not deviate from the summary.

  In the above-described embodiment, the case where the noise evaluation system 10 includes the noise measurement device 20 and the external evaluation unit 40 has been described. However, the noise measurement device and the external evaluation unit may be integrated. For example, the noise measuring device may have functions corresponding to the external control unit of the external evaluation unit.

  In the above-described embodiment, the case where the noise measuring device 20 includes the power supply unit 300 that performs solar power generation using the solar panel 320 has been described, but the noise measuring device may include a power supply unit that supplies AC 100V. good. In this case, the device-side control unit of the noise measuring device may send the numerical data of the noise spectrum to the external evaluation unit by e-mail every second or e-mail the noise voice data to the external evaluation unit. You may send by.

  In the above-described embodiment, the case where the device-side control unit 260 of the noise measurement device 20 and the spectrum acquisition unit 420 of the external evaluation unit 40 are provided separately has been described. Among the functions of the device-side control unit The function of controlling the sound level meter so as to acquire the numerical data of the noise spectrum may be considered as the spectrum acquisition means.

  In the above-described embodiment, the case where the spectrum acquisition unit 420 of the external evaluation unit 40 acquires numerical data of the background noise spectrum by receiving an email from the noise measurement device 20 in the spectrum acquisition step S120 has been described. However, the spectrum acquisition means is not limited to the case of acquiring the numerical data of the background noise spectrum by e-mail. For example, when a large number of background noise spectra are recorded in the spectrum recording unit of the noise measurement device (for example, once every two months), the user carries the spectrum recording unit from the noise measurement device to the external evaluation unit and reads it in the external evaluation unit. Thus, the spectrum acquisition unit may acquire the background noise spectrum. According to this method, numerical data of a large amount of background noise spectrum that cannot be transmitted by e-mail can be acquired at once, and a large number of background noise spectra associated with the same background noise condition can be accumulated in the database. Becomes easy. As a result, a more accurate background noise spectrum can be extracted.

  In the above-described embodiment, the case where the meteorological data acquisition unit 450 is configured to acquire meteorological data by accessing the website of the Japan Meteorological Agency has been described. However, the noise measuring device is a hygrometer, a rain gauge, a rain gauge. , And an anemometer, and in this case, the weather data acquisition means may acquire weather data from a noise measuring device.

  In the above-described embodiment, a case has been described in which the exclusion step S130 is performed after the spectrum acquisition step S120 and before the averaging step S140. However, among the plurality of background noise spectra created as a database after the database creation step. The background noise spectrum having an abnormal peak may be excluded.

  In the above-described embodiment, the case where the averaging step S140 is performed before the database creation step S160 has been described. However, after the database creation step, a plurality of background noise spectra associated with the same background noise condition are accumulated in the database. The plurality of background noise spectra may be averaged. As a result, the influence of instantaneous disturbance can be further reduced, and a highly accurate averaged background noise spectrum can be obtained.

  In the above-described embodiment, the case where the averaging process S140 is performed in the regular measurement mode has been described. However, the averaging process may be performed in the extraction process of the complaint occurrence measurement mode. That is, in the extraction process, when the background noise spectrum associated with the background noise condition that matches the search condition is extracted from the database, a plurality of background noise spectra associated with the same background noise condition are extracted from the database. The plurality of background noise spectra may be averaged.

  In the above-described embodiment, the case where the noise evaluation system 10 includes the exclusion unit 430 has been described. However, the noise evaluation system does not necessarily include the exclusion unit. That is, even if a background noise spectrum having an abnormal peak is acquired, the influence of the background noise spectrum having an abnormal peak may be reduced by averaging a plurality of background noise spectra.

  In the above-described embodiment, the case where the noise evaluation system 10 includes the averaging unit 440 has been described. However, the noise evaluation system may not necessarily include the averaging unit. That is, the extraction means may be configured to extract a background noise spectrum that has not been averaged.

  In the above-described embodiment, the case where the noise evaluation system 10 includes the spectrum comparison unit 480 has been described. However, the noise evaluation system may not necessarily include the spectrum comparison unit. That is, the noise evaluation system may be a system in which the background noise spectrum is made into a database and extracted according to a predetermined search condition.

<Preferred embodiment of the present invention>
Hereinafter, preferred embodiments of the present invention will be additionally described.

(Appendix 1)
According to one aspect of the invention,
A noise evaluation system for evaluating noise from an object,
Spectrum acquisition means for acquiring a plurality of background noise spectra at a predetermined frequency;
Weather data acquisition means for acquiring weather data when each of the plurality of background noise spectra is acquired;
A database that associates a background noise condition including at least one of a date and time zone when each of the plurality of background noise spectra is acquired and the meteorological data with each of the plurality of background noise spectra and stores them in a database. And
A noise evaluation system comprising: extraction means for extracting the background noise spectrum associated with the background noise condition that matches the search condition when a search condition including at least one of a date and time zone and weather data is received; Is provided.

(Appendix 2)
Preferably, the noise evaluation system according to appendix 1,
There is an averaging means for averaging the plurality of background noise spectra acquired in the same date and time.

(Appendix 3)
Preferably, the noise evaluation system according to appendix 1 or 2,
Excluding means for excluding a background noise spectrum having an abnormal peak from the plurality of background noise spectra.

(Appendix 4)
Preferably, the noise evaluation system according to any one of appendices 1 to 3,
Spectrum comparison means for comparing a predetermined noise spectrum and the background noise spectrum;
The spectrum acquisition means acquires a noise spectrum to be evaluated,
The weather data acquisition means acquires weather data when the evaluation target noise spectrum is acquired,
The extraction means extracts the background noise spectrum using the search condition as a condition including at least one of a date and time zone and the weather data when the noise spectrum to be evaluated is acquired,
The spectrum comparison unit compares the noise spectrum to be evaluated with the background noise spectrum extracted by the extraction unit.

(Appendix 5)
Preferably, the noise evaluation system according to appendix 4,
The spectrum comparing means includes:
By calculating the difference between the noise spectrum to be evaluated and the background noise spectrum, the peak amount of noise that is superior to the background noise spectrum in the noise spectrum to be evaluated is calculated.

(Appendix 6)
Preferably, the noise evaluation system according to appendix 5,
The spectrum acquisition means acquires a noise spectrum of the evaluation object when a complaint occurs with respect to noise from the object,
The spectrum comparison unit determines that the noise causing the complaint has occurred when the dominant amount is equal to or greater than a threshold value.

(Appendix 7)
Preferably, the noise evaluation system according to appendix 5 or 6,
It has a recorder that records sound data of noise,
The spectrum comparing means includes:
When the prominent amount is equal to or greater than a threshold, the sound data of the noise to be evaluated is recorded on the recorder for a predetermined time.

(Appendix 8)
Preferably, in the noise evaluation system according to any one of appendices 1 to 7,
The weather data included in each of the background noise condition and the search condition includes at least humidity.

(Appendix 9)
Preferably, the noise evaluation system according to appendix 8,
The weather data included in each of the background noise condition and the search condition further includes at least one of precipitation, wind speed, and wind direction.

(Appendix 10)
Preferably, the noise evaluation system according to any one of appendices 1 to 9,
Each condition included in the background noise condition is classified for each predetermined range.

(Appendix 11)
Preferably, in the noise evaluation system according to any one of appendices 1 to 10,
The extraction unit extracts the background noise spectrum associated with the background noise condition closest to the search condition when there is no background noise condition that matches the search condition.

(Appendix 12)
According to another aspect of the invention,
A noise measuring device used in the noise evaluation system according to any one of appendices 1 to 11,
Sound collecting means for acquiring a plurality of background noises at the predetermined frequency;
There is provided a noise measuring device having noise measuring means for performing frequency analysis of each of the plurality of background noises acquired by the sound collecting means and outputting the background noise spectrum.

(Appendix 13)
According to yet another aspect of the invention,
A noise evaluation method for evaluating noise from an object,
A spectrum acquisition step of acquiring a plurality of background noise spectra at a predetermined frequency;
A weather data acquisition step of acquiring weather data when each of the plurality of background noise spectra is acquired;
A database that associates each of the plurality of background noise spectra with a background noise condition that includes at least one of the date and time zone and the weather data when each of the plurality of background noise spectra is acquired, and stores the database in a database Conversion process,
A noise evaluation method comprising: an extraction step of extracting the background noise spectrum associated with the background noise condition that matches the search condition when a search condition including at least one of a date and time zone and weather data is received Is provided.

(Appendix 14)
According to yet another aspect of the invention,
A computer used in a noise evaluation system that evaluates noise from objects.
Spectrum acquisition means for acquiring a plurality of background noise spectra at a predetermined frequency;
Weather data acquisition means for acquiring weather data when each of the plurality of background noise spectra is acquired;
A database that associates a background noise condition including at least one of a date and time zone when each of the plurality of background noise spectra is acquired and the meteorological data with each of the plurality of background noise spectra and stores them in a database. And
An extraction means for extracting the background noise spectrum associated with the background noise condition that matches the search condition when a search condition including at least one of a date and time zone and weather data is received;
A program is provided that functions as:

DESCRIPTION OF SYMBOLS 10 Noise evaluation system 20 Noise measuring device 40 External evaluation part 90 Overhead power transmission equipment 200 Main-body part 210 Noise meter (noise measurement means)
212 Microphone (sound collecting means)
220 Recorder (voice data recording means)
230 audio data recording unit 240 device side transmission / reception unit 250 protocol converter 260 device side control unit 270 spectrum recording unit 280 DC / DC converter 290 voltmeter 300 power supply unit 320 solar panel 340 charge control unit 360 battery 400 external control unit 412 CPU
414 RAM
416 Storage means 420 Spectrum acquisition means 430 Exclusion means 440 Averaging means 450 Weather data acquisition means 460 Database creation means 470 Extraction means 480 Spectrum comparison means 520 External transmission / reception unit 540 Interface 900 Transmission line 920 Steel tower

Claims (11)

A noise evaluation system for evaluating noise from an overhead power transmission facility having a transmission line ,
Spectrum acquisition means for acquiring a plurality of background noise spectra in the overhead power transmission facility at a predetermined frequency;
Weather data acquisition means for acquiring weather data when each of the plurality of background noise spectra is acquired;
In association with the background noise conditions time zone and including said meteorological data of the time of obtaining each of the plurality of background noise spectrum, and a respective of the plurality of background noise spectrum, and database means for storing in a database,
An extraction means for extracting the background noise spectrum associated with the background noise condition that matches the search condition when a search condition including at least one of a date and time zone and weather data is received;
A spectral comparison means for comparing the background noise spectrum with a predetermined noise spectrum, was closed,
The spectrum acquisition means acquires a noise spectrum to be evaluated in the overhead power transmission facility when a complaint occurs with respect to noise from the overhead power transmission facility,
The weather data acquisition means acquires weather data when the evaluation target noise spectrum is acquired,
The extraction means extracts the background noise spectrum with the search condition as a condition including at least humidity in the weather data when the noise spectrum of the evaluation target is acquired,
The spectrum comparison unit compares the noise spectrum to be evaluated with the background noise spectrum extracted by the extraction unit, and whether the noise causing the complaint is a corona sound from the transmission line. Noise evaluation system that determines whether or not . The spectrum comparison means takes a difference between the noise spectrum of the evaluation object and the background noise spectrum, thereby obtaining a prominent amount of the peak in which the noise level is superior to the background noise spectrum in the noise spectrum of the evaluation object. Calculate
The noise evaluation system according to claim 1, wherein when the prevailing amount is equal to or greater than a threshold value, it is determined that a corona sound from the power transmission line is generated as the noise causing the complaint. The extraction means further extracts the background noise spectrum by using at least one of a date / time zone, precipitation, wind speed, and wind direction when the noise spectrum to be evaluated is acquired as the search condition. Noise evaluation system. A noise evaluation system for evaluating noise from an overhead power transmission facility having a transmission line,
Spectrum acquisition means for acquiring a plurality of background noise spectra in the overhead power transmission facility at a predetermined frequency;
Weather data acquisition means for acquiring weather data when each of the plurality of background noise spectra is acquired;
Database means for associating each of the plurality of background noise spectra with a background noise condition including the date and time zone and the weather data when each of the plurality of background noise spectra is acquired, and storing it in a database;
An extraction means for extracting the background noise spectrum associated with the background noise condition that matches the search condition when a search condition including at least one of a date and time zone and weather data is received;
Spectrum comparison means for comparing a predetermined noise spectrum and the background noise spectrum,
The spectrum acquisition means acquires a noise spectrum of an evaluation target in the overhead power transmission facility when a complaint occurs with respect to noise from the object,
The weather data acquisition means acquires weather data when the evaluation target noise spectrum is acquired,
The extraction means extracts the background noise spectrum using the search condition as a condition including at least the wind speed of the weather data when the noise spectrum of the evaluation target is acquired,
The spectrum comparison unit compares the noise spectrum to be evaluated with the background noise spectrum extracted by the extraction unit, and whether the noise causing the complaint is wind noise from the transmission line. Noise evaluation system that determines whether or not. The spectrum comparison means takes a difference between the noise spectrum of the evaluation object and the background noise spectrum, thereby obtaining a prominent amount of the peak in which the noise level is superior to the background noise spectrum in the noise spectrum of the evaluation object. Calculate
The noise evaluation system according to claim 4, wherein when the prevailing amount is equal to or greater than a threshold value, it is determined that wind noise from the power transmission line is generated as the noise causing the complaint. The noise according to claim 4 or 5, wherein the extraction means further extracts the background noise spectrum using at least one of a date / time zone, humidity, and precipitation when the noise spectrum to be evaluated is acquired as the search condition. Evaluation system. The noise evaluation system according to any one of claims 1 to 6, further comprising an averaging unit that averages the plurality of background noise spectra acquired in the same date and time zone. The noise evaluation system according to any one of claims 1 to 7, further comprising an exclusion unit that excludes a background noise spectrum having an abnormal peak from the plurality of background noise spectra.   The extraction means extracts the background noise spectrum associated with the background noise condition closest to the search condition when there is no background noise condition that matches the search condition. The noise evaluation system according to item. A noise evaluation method for evaluating noise from an overhead power transmission facility having a transmission line ,
And as factories you obtain a plurality of background noise spectrum in the overhead power transmission equipment at a predetermined frequency,
And as factories you get the weather data at the time of acquiring each of the plurality of background noise spectrum,
Respectively of the plurality of background noise spectrum, and background noise conditions time zone and including said meteorological data of the time of obtaining each of the plurality of background noise spectrum that are correlated, and as engineering that stores in a database,
Obtaining a noise spectrum to be evaluated in the overhead power transmission facility when a complaint occurs with respect to the noise from the overhead power transmission facility; and
Obtaining meteorological data when obtaining the evaluation target noise spectrum;
Extracting the background noise spectrum associated with the background noise condition that matches the search condition when a condition including at least humidity is received as the search condition in the weather data when the noise spectrum of the evaluation target is acquired and as Engineering you,
A step of comparing the noise spectrum to be evaluated with the background noise spectrum extracted by the extraction means and determining whether the noise causing the complaint is a corona sound from the transmission line. And a noise evaluation method. A noise evaluation method for evaluating noise from an overhead power transmission facility having a transmission line,
Obtaining a plurality of background noise spectra in the overhead power transmission facility at a predetermined frequency;
Obtaining weather data when obtaining each of the plurality of background noise spectra;
Associating each of the plurality of background noise spectra with the background noise condition including the date and time zone and the weather data when each of the plurality of background noise spectra is acquired,
Obtaining a noise spectrum to be evaluated in the overhead power transmission facility when a complaint occurs with respect to the noise from the overhead power transmission facility; and
Obtaining meteorological data when obtaining the evaluation target noise spectrum;
Extracting the background noise spectrum associated with the background noise condition that matches the search condition when a condition including at least wind speed is received as a search condition from the meteorological data when the noise spectrum to be evaluated is acquired And a process of
A step of comparing the noise spectrum to be evaluated with the background noise spectrum extracted by the extraction means and determining whether the noise causing the complaint is wind noise from the power transmission line. And a noise evaluation method.