JPH06249704A - Noise monitoring system for mobile - Google Patents

Abstract

PURPOSE:To allow highly accurate automatic acquisition of basic data required for noise reduction by tracking a mobile automatically and recording temporal variation of noise level and noise source position. CONSTITUTION:An acoustic sensor section 11 and a noise source deciding section 12 determine the direction and the level of noise coming from an aircraft entering into an airport and outputs a noise data 101. A pulse laser distance measuring section 13 and a monitor camera section 14 are mounted on a gimbal section 15 with the optical axis being set in parallel and the monitor camera section 14 outputs an image data 103 of a mobile noise source. An image tracking/processing section 16 receives the image data 103 and the monitor camera section 14 tracks the mobile noise source automatically to attain an angle measurement data 105 whereas the pulse laser distance measuring section 13 is interlocked with the monitor camera section 14 to attain a distance measurement data 102. The acoustic sensor section 11 and the noise source deciding section 12 determine the direction and the level of incoming noise and a data processing section 17 obtains a time series data of the position and the level of noise from the acquired data.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a mobile noise monitoring system, and in particular, it specifies the level and position of noise generated by a mobile noise source such as an aircraft or a railway vehicle, and automatically tracks the noise level and noise. The present invention relates to a mobile noise monitoring system for processing data recording for noise countermeasures including time series data of position.

[0002]

2. Description of the Related Art Conventionally, in a moving object noise monitoring system of this type, a plurality of acoustic sensors are arranged around a noise measuring point,
After collecting noise data such as the sound reception level, duration and reception timing acquired by each acoustic sensor, the reception timing difference, the reception level difference, the duration difference, and the arrangement conditions of the plurality of acoustic sensors are collected from the plurality of received signals. The position of the noise source and the noise level are estimated based on the above, and the estimation accuracy is ensured by performing comparison with other related data (for example, flight records) regarding the moving body (for example, aircraft) that is the noise source.

There has also been a technique in which noise source data estimated by post-processing is added to noise data from image data when a moving body passes through the field of view of a surveillance camera set in a fixed direction at a measurement point.

Further, in addition to these, a device for automatically identifying a noise source and automatically measuring the direction of arrival of noise (Japanese Patent Laid-Open No. Sho 6-62).
0-378) and SSR (Secondary) transmitted by an aircraft transponder in parallel with aircraft noise.
Surveillance Radar) response signals are received simultaneously and continuously at ground measurement points, and the noise level, the incoming electric field strength level of the noise source aircraft, the identification signal, and altitude information are output over time by computer processing (special Kai 63-308523) and the like are considered.

[0005]

The above-mentioned conventional mobile body noise monitoring has the following problems, respectively.

That is, a plurality of acoustic sensors are arranged around a noise measuring point, and a movement is performed based on image data when a moving body passes through the field of view of a surveillance camera arranged in a fixed direction. In all noise monitoring of the body, since the noise source is estimated by post-processing, it is not possible to measure the position of the noise source in real time or track it with an image, and try to measure the position of the noise source in real time. In this case, it is not only necessary to place equipment and measuring personnel at the measurement point to perform manual measurement, but also the deterioration of measurement accuracy is inevitable due to fluctuations in sound ray propagation caused by weather conditions. There is.

Further, even when the automatic real-time measurement is performed, the content of the measurement is limited to the direction of arrival of noise, and further, the SSR for approach and takeoff control placed at the airport.
Even when the response signal emitted by the transponder mounted on the aircraft is intercepted and input to the computer together with the measurement value of the noise emitted by the aircraft for the purpose of identifying the aircraft, usually, the discrimination between the response signals and noise is post-processing, In the case of one noise source, there is a problem that it is often difficult to distinguish between a plurality of countermeasures themselves.

In order to solve the above-mentioned problems, an object of the present invention is to automatically track the time lapse between the position of the noise source, that is, the noise generation position and the noise level in real time by eliminating the influence of weather conditions, and take measures against noise. The object of the present invention is to provide a mobile noise monitoring system that enables acquisition of high-accuracy basic data.

[0009]

A mobile body noise monitoring system of the present invention comprises a noise data output means for capturing mobile body noise emitted by a mobile body and outputting the level of the mobile body noise and the direction of arrival as noise data. , The distance to the moving body is obtained from the pulse data and is output as distance measurement data, and the image data obtained by optically capturing the scene of the light-receiving visual field including the moving body is output, and the displacement of the moving body included in the image data is output. Distance measuring / angle measuring / image data output means for automatically outputting the angle of elevation and azimuth relative to the moving body while automatically tracking the moving body, and the noise data and the distance measuring data. Data processing means for inputting angle measurement / image data and processing for recording noise countermeasure data including time series data of the noise level and the position of the moving body noise. Obtain.

Further, in the moving object noise monitoring system of the present invention, a gimbal mechanism is equipped with a pulse laser distance measuring section in which the distance measuring / angle measuring / image data output means are arranged with their optical axes parallel to each other. , The gimbal mechanism is driven so as to occupy the moving body at the light receiving center of the image pickup camera, and the pulse laser distance measuring unit obtains the distance measurement data and the image pickup camera obtains the image pickup data. Have a configuration.

Further, in the mobile noise monitoring system of the present invention, the direction of arrival of the mobile noise is determined by a plurality of directional microphones arranged in a plane by the noise data output means, and an array of the plurality of directional microphones is arranged. The configuration is such that the noise level of the moving body is obtained by an omnidirectional microphone arranged in the center of the plane.

[0012]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram showing the configuration of an embodiment of the present invention.

In the mobile noise monitoring system of this embodiment, an aircraft approaching an airport for landing is used as a mobile noise source by way of example. The arrival direction of noise and the noise level are determined and the noise data 101 is obtained. An acoustic sensor unit 11 and a noise source determination unit 12 which constitute noise data output means for outputting;
The distance to the noise source is obtained by a pulse laser and is output as distance measurement data 102. At the same time, while optically monitoring the noise source and outputting the image data 103, the gimbal mechanism automatically tracks the noise source and detects the noise source. A pulse laser distance measuring unit 13 which constitutes distance measuring / angle measuring / image data outputting means for outputting the elevation angle and the azimuth angle as the angle measuring data 105,
The monitoring camera unit 14, the gimbal unit 15, the image tracking processing unit 16, the noise data described above, the distance measurement data, the angle measurement data, and the image data are input, and the time course of the position of the noise source and the noise level is shown. A data processing unit 17 as a data processing unit that processes noise countermeasure data for recording, and a control unit 18 as a control unit that controls the operation of the entire system are provided.

Next, the operation of this embodiment will be described.

The mobile noise monitoring system of this embodiment shown in FIG. 1 is arranged near an approach road to an airport runway.

FIG. 2 is a plan view showing an example of operational development of the embodiment shown in FIG. In FIG. 2, the approaching aircraft descends along the approach road L0 toward the runway S with the landing line L1 as a target while receiving an instruction from the control tower, and stops at the stop line L2. The mobile noise monitoring system is installed at the installation position P in the vicinity of the approach road L0, and the mobile aircraft noise source is monitored by the approaching aircraft in the following manner with the spatial range determined by the preset θ as the automatic tracking area. To do.

The pulse laser distance measuring unit 13 and the surveillance camera unit 13 mounted with the optical axis parallel to the gimbal unit 15 for locating the space position of the approaching aircraft by the two-axis balance mechanism are designated by the above-mentioned θ. An initial pointing position is set in the approach end direction of the automatic tracking area. The monitoring camera unit 13 is an imaging camera that uses a CCD camera,
When the approaching aircraft is captured within the light-receiving field of view, the captured image data 103 is sent to the image tracking processing unit 16.

The image tracking processing section 16 finds a deviation between the position of the approaching aircraft and the center of the image (the center of the light receiving surface) in the input image data 103, and the X axis and the Y axis of the gimbal section 15 are set so that this deviation becomes zero. A control / drive signal 104 for controlling and driving the two axes is generated, whereby the approaching aircraft is controlled so as to always occupy the imaging center of the surveillance camera unit 14.

The pulse laser distance measuring unit 13 is a distance measuring device using a laser having a wavelength longer than that of a YAG laser or a helium / neon gas laser, which is safe for eyes, and can instantly measure a distance to a target, and various operations can be performed. A so-called eye-safe laser range finder used in the field is used to aim in the same direction as the pointing direction of the surveillance camera unit 14 to measure the distance to the approaching aircraft, and the distance measurement data 102 is obtained.
Send to 7.

From the gimbal section 15, the optical axis direction of the pulse laser distance measuring section 13 and the surveillance camera section 14 directed by the control / drive signal 104 provided from the image tracking processing section 16, that is, the spatial orientation of the approaching aircraft. The elevation angle and the azimuth angle that determine is transmitted to the image tracking processing unit 16 as the angle measurement data 105. The distance measurement data 102 and the angle measurement data 105 described above determine the spatial position of the approaching aircraft.

From the image tracking processing unit 16, the angle measurement data 1
05 and the image data 103 are respectively supplied to the data processing unit 17 as the angle measurement / image data 106 in a predetermined data format.

Now, the acoustic sensor unit 11 together with the noise source determining unit 12 always obtains the level of noise and the direction of arrival of noise from the moving body noise source in the automatic tracking area, and calculates the noise data 10
It is supplied to the data processing unit 17 as 1.

The noise sensor section 11 is arranged such that four directional microphones b1, b2, b3 and b4 having a sharp directivity in the front occupy the vertices of a square, respectively, and the center of the array is omnidirectional. The microphone a1 is arranged. FIG. 3 shows an arrangement state of the acoustic sensor unit 11.

The acoustic sensor unit 11 is fixedly arranged in a direction effective for measurement in consideration of a preset automatic tracking area and a known approach direction of the aircraft,
The output is supplied to the noise source determination unit 12 as a reception signal 111, and the omnidirectional microphone a is used to determine the noise level of the approaching aircraft, and the directional microphones b1 to b4 are used to determine the arrival direction of noise. .

The directional microphones b1 to b4 respectively generate outputs corresponding to the azimuth of the incoming noise from the automatic tracking area which is the noise measurement coverage area. For example, when the whole directly faces the noise source, the outputs are equal to each other. Therefore, the arrival direction of the noise source can be known based on the output differences of the four microphones.

In the present embodiment, the acoustic sensor unit 11 is fixedly arranged in this way, but this is because the target moving body is an aircraft and the approach and take-off directions are preset including tolerances. It is also possible to perform object tracking so that the outputs of the four microphones are always zero depending on the purpose of operation.

Further, in the present embodiment, accurate position location of the moving body is secured by gimbal tracking by using the pulse laser distance measurement and the surveillance camera together as described above, and the acoustic sensor unit 11 and the noise source determination unit 12 are used. The accuracy of the direction of arrival of noise due to does not need to be extremely high.

The data processing unit 17 inputs from the noise source determination unit 12 noise data 101 indicating the level and direction of noise emitted by an approaching aircraft as a moving body noise source, and also the pulse laser distance measuring unit 13 and the image. Distance-measuring data 102 and angle-measuring / image data 106 indicating the spatial position of the approaching aircraft are respectively input from the tracking processing unit 16, and data in which the spatial position relating to the approaching aircraft and the noise level are associated with each other, the time elapsed, and the approach. Automatically record aircraft image data as noise basic data. In this case, noise data 10
The noise azimuth information included in 1 is collated with the azimuth information based on a more accurate angle based on the angle measurement data 105 to ensure the azimuth accuracy of the present system.

When the noise level included in the noise data 101 is abnormal noise exceeding a predetermined threshold value, the data processing unit 17 which has received the noise noise causes the monitoring camera unit 14 to detect the abnormal noise through the image tracking processing unit 16. An abnormal noise directing signal 107 that directs the direction of arrival is transmitted, the aircraft approaching the abnormal noise source is automatically tracked, and distance measurement data 102 and angle / image data 106 corresponding thereto are acquired for automatic recording.

The data processing unit 17 uses the noise data 101, the distance measurement data 102, and the angle measurement / image data 106 thus input, and constantly records the noise generated by the approaching aircraft, which is the noise source of the moving body, over the automatic tracking area. Understand the route and noise level of the position of the mobile noise source.

The control section 18 controls the operation of each section of the system by a built-in program.

In this way, the noise of the approaching aircraft as the noise source of the moving body is automatically tracked over a predetermined region by eliminating the influence of weather conditions, and the time course between the position and the noise level is accurately acquired to obtain the noise. It can be provided together with the image data as a measure material.

Although one embodiment of the present invention has been described above, various modifications of this embodiment are possible. For example, although the airport approaching aircraft is targeted as a noise source in the above-described embodiment, the same is true for a takeoff aircraft, and it is also possible to similarly implement a noise source of a moving body such as a railroad vehicle other than an aircraft. it is obvious. It is also possible to easily monitor a wide range of noise sources by constructing a large-scale mobile noise monitoring system in which multiple systems are installed, each of which is connected to a separate center to transfer data. That is clear. Furthermore, the surveillance camera unit 14 can be monitored for 24 hours by arranging a device such as an infrared camera capable of acquiring image data at night, and the monitoring camera unit 14 can be easily monitored without impairing the gist of the present invention. It can be implemented.

[0035]

As described above, according to the present invention, a noise source whose source is a moving body is automatically tracked to automatically record a time lapse state between a noise level and a noise generation position. In addition, there is an effect that the noise data regarding the moving body noise source can be obtained in real time quickly and accurately without human intervention and eliminating the influence of weather conditions.

[Brief description of drawings]

FIG. 1 is a block diagram showing the configuration of an embodiment of the present invention.

FIG. 2 is a plan view showing operational development of an embodiment of the present invention.

FIG. 3 is a plan view showing an arrangement state of an acoustic sensor section 11 of FIG.

[Explanation of symbols]

 11 acoustic sensor unit 12 noise source determination unit 13 pulse laser distance measuring unit 14 monitoring camera unit 15 gimbal unit 16 image tracking processing unit 17 data processing unit 18 control unit

Claims (3)

[Claims] 1. A noise data output means for capturing a moving body noise emitted by a moving body and outputting the level and the azimuth of arrival of the moving body noise as noise data, and a distance to the moving body by a distance from a pulse laser. The moving body is output while outputting the image data obtained by optically capturing the scene of the light receiving field including the moving body, and automatically tracking the moving body based on the displacement of the moving body included in the image data. Distance measurement / angle measurement / image data output means for outputting the elevation angle and azimuth angle as angle measurement data, and the noise data, the distance measurement data, and the angle measurement / image data as input A moving object noise monitoring system, comprising: a data processing unit that processes, for recording, noise countermeasure data including time series data of a level and a generation position. 2. The distance measuring / angle measuring / image data output means has a gimbal mechanism equipped with a pulse laser distance measuring section in which optical axes are arranged in parallel with each other, and the image pickup camera is mounted on the light receiving center of the image pickup camera. 2. The gimbal mechanism is driven so as to occupy a moving body, and the distance measurement data is acquired by the pulse laser distance measurement unit and the image data is acquired by the imaging camera. Mobile noise monitoring system. 3. The omnidirectional microphone, wherein the noise data output means determines the arrival direction of the moving body noise by a plurality of directional microphones arranged in a plane and is arranged at the center of the arrangement surface of the plurality of directional microphones. The mobile noise monitoring system according to claim 1 or 2, wherein the level of the mobile noise is obtained by the method.