JP2779986B2 - Intrusion vehicle detection device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a device for detecting an intruding vehicle, and more particularly to an intruding vehicle capable of detecting an intruding vehicle illegally entering a wide unmanned monitoring area and automatically identifying the type of the intruding vehicle. The present invention relates to a vehicle detection device.

[0002]

2. Description of the Related Art As a conventional apparatus of this kind, there is known an apparatus disclosed in the specification and drawings of Japanese Patent Application No. 2222027 filed by the present applicant. The detection device disclosed herein detects an intruding vehicle, and measures the vibration level and the characteristics of the vibration wave and the duration of the vibration at the detection point to determine the type of track or wheel.

FIG. 6 is a diagram for explaining a process up to detection of an intruding vehicle by a vibration sensor. When the intruding vehicle 1 enters the monitoring area, engine vibrations, tire vibrations, or caterpillar vibrations (hereinafter referred to as vibration waves 2) generated from the intruding vehicle 1 diffusely propagate using the ground 3 as a vibration propagation medium, and the vibration sensor 4 Is captured by

FIG. 7 is a block diagram showing a schematic configuration of the detection device disclosed in the above-mentioned prior application. The vibration wave detected by the vibration sensor 4 is converted into an electric signal, amplified, and sent as a sensor output 5 to the terminal device 6. In the sending end device 6, the sensor output 5 is amplified to a required level by an analysis circuit 6a, and an analysis process is performed to measure and extract a vibration level, a characteristic of a vibration wave, a duration of the vibration, and the like. I do.

[0005] The memory circuit 6b analyzes the analysis result, and sends the analysis data to the receiving end device 9 via the transmission system 8 as processing data 7 through the transmission circuit 6c. The receiving end 9 amplifies the processed data to a required level, or demodulates and amplifies as required, and sends it to the converter 10.
The converter 10 converts the output of the receiving device into conversion data 11 in a format necessary for recording and display, and outputs the converted data to a recorder and a display 12. The recording and display unit 12 records and displays the contents of the conversion data 11 moment by moment.

[0006]

However, in the method of the invention of the prior application described above, the distance between the intruding vehicle and the vibration sensor, the soil as the propagation medium of the vibration wave, the speed of the vehicle, etc. are estimated in advance when analyzing the vibration wave. Therefore, there is an area where it is difficult to clearly identify a vehicle type as a track or wheel. Therefore, it is necessary to develop another method for determining the area where the determination is difficult.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problem, and the analysis focuses on the fact that the frequency band in which the energy of the vibration wave exists differs depending on the vibration source of the vehicle, and has a characteristic. The present invention provides an excellent intrusion vehicle detection device capable of discriminating a track and a wheel without being affected by a distance between the intrusion vehicle and the vibration sensor, a soil medium as a propagation medium of the vibration wave, a vehicle speed, and the like. The purpose is to:

[0008]

The detecting device for an intruding vehicle according to the present invention sets a plurality of frequency bands in which the main energy of an oscillating wave exists, and determines the relative levels of the main energy of the oscillating wave in these frequency bands. And an analysis circuit for determining the type of the intruding vehicle. Further, by taking into account the duration of the relative level relationship, the probability of automatic classification of the vehicle type can be increased.

[0009]

The frequency band in which the main energy of the vibration wave of the vehicle exists differs greatly depending on the vibration of the caterpillar or the like (hereinafter referred to as caterpillar vibration) or the vibration of the tire or the like (hereinafter referred to as tire vibration). Therefore, for example, the frequency band of the caterpillar vibration (hereinafter, frequency band A
), Frequency band of tire vibration (hereinafter frequency band B)
) And a frequency band between the frequency band A and the frequency band B (hereinafter, referred to as a frequency band C). The frequency band is divided into a plurality of sections. Detect the vibration level. Then, based on the relationship between the relative levels of the vibration waves belonging to the plurality of frequency bands, the track / wheel of the intruding vehicle is automatically determined. In addition, the accuracy can be improved by performing the automatic determination in consideration of the duration of the relative level relationship.

[0010]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing a schematic configuration of an invading vehicle detection device of the present invention. Sensor output 5 from vibration sensor 4
Is input to the input terminal of the transmitting device 13, and the output of the transmitting device 13 is connected to the input terminal of the receiving device 9 via the transmission system 8. The output from the receiver 9 is input to a recorder and a display 12 via a converter 10.

According to the present invention, the analyzing circuit 13a is provided in the transmitter 13.
(1) Alternatively, the analysis circuit 13a (2) is provided to analyze the sensor output 5 to automatically determine the type of the vehicle. The analysis result is stored in the memory circuit 13b and sent to the transmission system 8 via the transmission circuit 13c.

The analysis circuit 13a (1) extracts the relative level relationship between the frequency bands A, B, and C to determine the type of track / wheel. In the analysis circuit 13a (2),
In addition to the function of the analysis circuit 13a (1), the frequency band A,
The time course of the relative level relationship between B and C is also detected, and the type of the tracked / wheeled vehicle with higher accuracy is determined. The result of discriminating the vehicle type of the track and wheel is once stored in the memory circuit 13b, and then sent to the transmission circuit 13c, where it is modulated or amplified to a required level as required.
4 is transmitted to the receiving end device 9 via the transmission system 8.

The receiving end 9 amplifies or demodulates the processed data 14 as it is or as required, and outputs it to the converter 10. The converter 10 converts the output of the receiver 9 into conversion data 15 in a format necessary for recording and display, and outputs the converted data to the recorder and display 12. Recorder and display 12
Then, the contents of the conversion data 15 are recorded or displayed every moment.

Next, an analysis circuit 13a which is a characteristic part of the present invention.
The analysis procedure in (1) and the analysis circuit 13a (2) will be described. FIG. 2 shows the frequency characteristics of the vibration wave spectrum of the tracked vehicle, and FIG. 3 shows the frequency characteristics of the vibration wave spectrum of the wheeled vehicle. The vibration wave mainly includes a caterpillar vibration 16 and an engine vibration 17 as shown in FIG. 2 or an engine vibration 17 and a tire vibration 18 as shown in FIG. 3, each of which has its own frequency spectrum.

FIG. 2 is a conceptual diagram of frequency characteristics expressed by an envelope of a peak value of a frequency spectrum for each of the track vibration 16 and the engine vibration 17 of the tracked vehicle. As is clear from the figure, the main energy of the engine vibration 17 is in the frequency band of F1 to F4, and the main energy of the caterpillar vibration 16 is in the frequency band of F2 to F3 (frequency band A).
It has been confirmed from actual measurement data that the level 6 is sufficiently higher than the level of the engine vibration 17.

FIG. 3 is a conceptual diagram of frequency characteristics expressed by an envelope of a peak value of a frequency spectrum for each of engine vibration 17 and tire vibration 18 of a wheeled vehicle. From FIG. 3, the main energy of the engine vibration 17 is in the frequency band of F1 to F4, and the main energy of the tire vibration 18 is usually in the frequency band (frequency band B) equal to or lower than F1. It has been confirmed from actual measurement data that the level 18 is higher than the level of the engine vibration 17, but the highest level of the tire vibration 18 is considerably lower than the highest level of the engine vibration 17. Note that the values of the frequencies F1 to F4 can be determined as appropriate from actually measured values of various vehicles.

FIG. 4 is a conceptual diagram showing the relative level relationship between the frequency bands A, B and C. As shown in FIG. 4, the level difference between frequency band A and frequency band B is ΔLA
B, the level difference between frequency band A and frequency band C is ΔLA
C, the level difference between frequency band C and frequency band B is ΔLCB
And

In the present invention, these level differences ΔLAB, ΔLAB
The vehicle type is determined from the relative levels of the LAC and ΔLCB and the duration thereof. That is, in FIG. 4, (1) When ΔLAB ≧ α, the tracked vehicle is used. (2) In the case of ΔLAB ≦ β, the vehicle is a wheeled vehicle. (3) When ΔLAB is more than β and less than α, (a) When ΔLAC> ΔLCB and ΔLAC ≧ γ, the tracked vehicle is used. (B) When ΔLAC> ΔLCB and ΔLAC <γ, a wheeled vehicle is assumed. (C) In the case where ΔLAC <ΔLCB and ΔLAC <δ, a wheeled vehicle is assumed. (D) When ΔLAC <ΔLCB and ΔLCB ≧ δ, a tracked vehicle is assumed. (E) In the case of ΔLAC <ΔLCB and ΔLCB ≦ ε, a wheeled vehicle is assumed. Here, the values of α, β, γ, δ, and ε representing the magnitude of the level difference are appropriately set based on actually measured data.

FIG. 5 shows the above-mentioned ΔLAB, ΔLAC and ΔLAC.
It is a diagram showing the relationship between the relative level relationship of the LCB and the vehicle type. FIG. 8 shows the vibration level and the level of the vehicle.
It indicates the characteristic of the relationship with the duration.
Although the values differ, the characteristic trends are known from measurement experiments.
You. This is mainly because the vibration level of the tracked vehicle is
Vibration level, but the running speed is slow.
Due to this, the duration of the vibration level is longer,
Despite the fact that wheeled vehicles have lower vibration levels than tracked vehicles,
Because the running speed is fast, the vibration source moves away in a short time,
This is because the interval becomes shorter. Judgment of vehicle type by vibration level difference
From the level versus duration characteristics of different angles, tracked vehicles
Because it can be distinguished from a wheeled vehicle, only by the relative level difference
The discrimination probability can be higher than the discrimination. In the embodiment described above has been divided into three frequency bands to extract the characteristics of the frequency spectrum, the present invention is not limited to this division process, a plurality of further illustrating the features of the model It is also possible to divide the frequency band into

[0020]

As described in detail based on the above embodiments, the present invention is provided with an analysis circuit for analyzing and extracting the relative level relationship between frequency bands and discriminating the type of track / wheel mounting. Wheeling / tracking can be determined without being affected by the distance between the vehicle and the vibration sensor, the earth's soil that is the propagation medium of the vibration wave, and the speed of the intruding vehicle. It can be improved. Further, by detecting the time progress of the relative level relationship, the probability of discriminating the type of the intruding vehicle can be further improved.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a schematic configuration of a detection device according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating frequency characteristics of a vibration wave spectrum of a tracked vehicle.

FIG. 3 is a diagram illustrating frequency characteristics of a vibration wave spectrum of a wheeled vehicle.

FIG. 4 is a conceptual diagram illustrating a relative level relationship among frequency bands A, B, and C.

FIG. 5 is a diagram illustrating a relative level relationship between frequency bands.

FIG. 6 is a diagram illustrating detection of vibration information by a vibration sensor.

FIG. 7 is a block diagram showing a schematic configuration of a conventional detection device.

FIG. 8 is a diagram showing a relationship between a vibration level of a vehicle and a duration.

[Explanation of symbols]

 1 Invading vehicle 2 Engine vibration, tire vibration or caterpillar
-Vibration (vibration wave 2) 3 Ground 4 Vibration sensor 5 Sensor output 6 Transmitter 6a Analysis circuit 6b Memory circuit 6c Transmitter 7 Processing data 8 Transmission system 9 Receiver 10 Transducer 11 Conversion data 12 Recorder and display 13 Transmitter 13a (1) Analysis circuit 13a (2) Analysis circuit13b memory circuit  13c Transmission circuit 14 Processing data 15 Conversion data16 Caterpillar frequency 17 Engine frequency 18 Tire frequency 19 Tracked vehicle area 20 Wheeled vehicle area 21 Indistinguishable area

 ──────────────────────────────────────────────────続 き Continuation of the front page (56) References JP-A-62-279493 (JP, A) JP-A-4-160385 (JP, A) JP-A-4-104018 (JP, A) 142889 (JP, U)

Claims (2)

(57) [Claims] 1. An intruding vehicle detection device for analyzing a vibration wave from a vehicle entering a monitoring area to determine a type of the intruding vehicle, wherein a plurality of frequency bands in which main energy of the vibration wave exists are set. An intrusion vehicle detection device, comprising: an analysis circuit for determining the type of the intruder vehicle based on the relative level relationship of the main energy of the vibration wave in these frequency bands. 2. An intruding vehicle detection device for analyzing a vibration wave from a vehicle entering a monitoring area to determine the type of the intruding vehicle, wherein a plurality of frequency bands in which main energy of the vibration wave exists are set. An intrusion vehicle detection device, comprising: an analysis circuit for determining the type of the intruding vehicle based on the relative level relationship of the main energy of the vibration wave and the duration thereof in these frequency bands.