JPH05334540A - Burglar prevention device - Google Patents

Abstract

PURPOSE:To prevent malfunction due to a shock by carelessness and earthquake, to securely detect a destroying action by heat, which uses a burner, without accompanying the shock, and to suppress damage by robbery to a minimum. CONSTITUTION:It is inferred whether a system is abnormal or not by the output of a vibration detection device 5 discriminating the generated cause of vibration and that of a temperature rise detection part 6 detecting the rise of temperature. An alarm decision means 36 controls the type of an alarm signal, the output level of the alarm signal and a prevention means such as a discharge device 37.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a crime prevention device for preventing theft of a vending machine, a cash dispenser or the like, and more particularly, a crime prevention device having an alarm device for minimizing damage caused by theft. Regarding

[0002]

2. Description of the Related Art Conventionally, in this type of security device, an impact detector that is turned on and off according to the magnitude of the impact applied to the vending machine from the outside, a tilt detector that is turned on and off according to the magnitude of the tilt of the vending machine, and the like. It is composed of an alarm device.

In such a crime prevention device, if the outer door of a locked vending machine or the like is forcibly opened or the vending machine or the like is about to be knocked down, the outer door is opened without a key. Alternatively, before the vending machine etc. is completely knocked down, the detector detects the theft situation and issues an alarm, or displays and informs the surrounding people and manager to prevent theft. We prevent the destruction of vending machines.

[0004]

However, in such a conventional security device, for example, a person or an object is inadvertently hit and a shock is applied to the vending machine, or an earthquake occurs. In such a case, the impact or tilt may exceed the set value of the above-mentioned detector and malfunction, and conversely, even if the action is to destroy the vending machine, etc. Does not exceed the set value,
Alternatively, there is a problem that an alarm cannot be issued for an action such as a burner or a laser which does not cause impact and is melted by heat, and the notification is delayed.

Further, the alarm sound (alarm buzzer) emitted from the alarm device is monotonous and is not enough to give up on continuing the vandalism of the vending machine, etc., and is independent of the ambient noise level. Since the output is at a constant level, when the ambient noise is high, the level of the alarm sound is relatively low, and it is difficult to sufficiently inform the people around and the manager. In addition, the alarm device only issues an alarm with an alarm sound or an alarm light, and cannot physically suppress vandalism of the vending machine or the like.

The present invention has been made in view of the above-mentioned points, and prevents malfunction due to inadvertent shock or earthquake, and acts of destruction without heat by using a burner or the like. It is an object of the present invention to provide a crime prevention device capable of surely detecting an occupant and minimizing damage to theft.

[0007]

In order to achieve the above object, the present invention is configured as follows.

That is, the present invention according to claim 1 is
In a crime prevention device that includes a vibration detection device that detects vibration and determines an excitation factor of the vibration, and an alarm device that issues an alarm when there is an abnormality based on the output of the vibration detection device, the alarm device is , The ambient sound level is detected to determine the output level of the alarm signal.

According to a second aspect of the present invention, whether or not there is an abnormality is determined based on the vibration detection device, the temperature rise detection unit for detecting a temperature rise, and the outputs of the vibration detection device and the temperature rise detection unit. In a crime prevention device comprising an inference unit for determining whether or not and an alarm device for issuing an alarm when an abnormality occurs based on the output of the inference unit, the alarm device detects an ambient sound level and outputs an alarm signal. The output level of is determined.

According to a third aspect of the present invention, in a crime prevention device including a vibration detection device and an alarm device, the alarm device changes the type of the alarm signal according to the duration of vibration or the like. ..

According to a fourth aspect of the present invention, in a crime prevention device including a vibration detection device, a temperature rise detection unit, and an alarm device, the alarm device warns according to elapsed time of vibration and temperature rise. Different types of signals are used.

According to a fifth aspect of the present invention, in a crime prevention device including a vibration detection device and an alarm device, the alarm device is a water discharge device or the like that prevents access to an automatic vending machine or the like to prevent theft. Equipped with preventive measures.

According to a sixth aspect of the present invention, in a crime prevention device including a vibration detection device, a temperature rise detection unit, and an alarm device, the alarm device makes it difficult to approach an automatic vending machine or the like and is stolen. It is equipped with prevention means such as a water discharge device for preventing the above.

[0014]

According to the present invention as set forth in claims 1 to 6, an alarm is issued in the event of an abnormality based on the output of a vibration detection device for detecting vibration and determining the excitation factor of the vibration.
For example, it is possible to prevent malfunction due to inadvertent shock or earthquake.

Further, claim 2, claim 4 and claim 6
According to the present invention described in the paragraph (1), an alarm can be reliably issued even for a destructive action such as melting by using a burner, a laser, or the like without impact.

According to the present invention as set forth in claims 1 and 2, the alarm is output at a level according to the ambient noise level.

Further, according to the present invention as set forth in claims 3 and 4, an alarm is selected and output from a plurality of types of alarm signals according to the degree of abnormality such as the duration of vibration. Will be.

Further, according to the present invention as set forth in claims 5 and 6, if it is difficult to continue the act of sabotage of the vending machine, etc., by operating the prevention means such as the water discharge device at the time of theft. The damage can be suppressed to a minimum.

[0019]

Embodiments of the present invention will now be described in detail with reference to the drawings.

FIG. 1 is a block diagram of a main part of an embodiment in which the present invention is applied to, for example, a telephone card vending machine.

The security device of this embodiment detects a vibration and determines an excitation factor of the vibration as described later, and a vibration detection device 5 that outputs an alarm when an abnormality occurs based on the output of the vibration detection device 5. It is basically composed of an alarm device 30 for issuing

The vibration detection device 5 detects the vibration applied to the vending machine, determines the excitation factor of the vibration from the vibration state, and determines whether the vibration is normal or abnormal, as described later. Then, the corresponding vibration data is output.

The alarm device 30 includes a timer 31 for measuring the duration of vibration, a microphone 32 for detecting a sound around the vending machine, and an alarm signal memory 33 in which plural kinds of alarm signals are stored in advance. Based on the output of the vibration detection device 5 and the time measured by the timer 31, the type of the alarm signal to be output is determined and read out from the memory 33, and according to the level of ambient sound (noise) detected by the microphone 32. And an alarm determination means 36 for issuing an alarm from the speaker 35 by determining the output level and adjusting the gain of the amplifier 34.

Next, the structure of the vibration detecting device 5 will be described in more detail.

As shown in FIG. 2, the vibration detecting device 5 includes a seismic switch 1 for generating a pulse train by vibration.
And a feature quantity extraction unit 2 that extracts a plurality of types of feature quantities from the pulse wave from the seismic switch 1 as described below, and a fuzzy inference by executing the extracted feature quantities as inputs to excite vibrations. It is composed of an inference unit 3 for discriminating a factor, and a judgment output unit 4 for basically outputting output values corresponding to four kinds of judgment results to the alarm device 30 as vibration data based on these outputs. ..

The judgment result from the judgment output unit 4 of the vibration detecting device 5, that is, the vibration data is "none", "normal",
It corresponds to four types of "Abnormality 1" and "Abnormality 2", "None" indicates that there is no vibration, and "Normal" indicates that the product is inadvertently bumped or passed by a vehicle. “Abnormal 1” indicates that the vibration is due to an earthquake, and “Abnormal 2” indicates that the vibration is due to a drill, a hammer, or shaking.

As shown in the flow chart of FIG. 3, the judgment output section 4 judges whether or not there is vibration based on the output of the seismic switch 1 (step 600). If there is no vibration, the judgment is made. The result is set to "none" (step 605), and when there is vibration, it is determined whether or not the total number of pulses extracted by the feature amount extraction unit 2 is 3 or more as described later (step 601), 3 When it is less than, the judgment result is "normal" (step 604), and when it is 3 or more, it is "abnormal 1" and "abnormal 2" based on the result by fuzzy inference by the inference unit 3 (step 602). The output value corresponding to is determined (step 603).

The configuration of the vibration detecting device 5 will be described in more detail below.

FIG. 4 is a sectional view showing the details of the seismic switch 1. As shown in FIG. 4, a so-called automatic horizontal seismic sensor is well known in the art and is not directly related to the gist of the present invention. In the following, the names of each member in the drawings will be pointed out.

That is, 11 is a case, 12 is a guide,
13 is a plunger, 14 is a base (insert), 15
Is a metal fitting, 16 is a cap, 17 is a jig, 18 is a ring,
Reference numeral 20 is a case, 21 is a terminal, 22 is a movable piece, 23 is a contact point, and 24 is a hard sphere.

Next, FIG. 5 is a functional block diagram of the above-mentioned characteristic amount extraction unit 2, and the characteristic amount is extracted based on the pulse wave P from the seismic switch 1 as shown in FIG.

Therefore, as shown in the figure, the feature quantity extraction unit 2 includes a counting function 2a, a time counting function 2b, and a program function 2.
c and a calculation function 2d are included, and the extracted feature amount D is configured to be sent to the inference unit 3.

By the way, in the present embodiment, when the pulse wave P as shown in FIG. 6 is obtained, the feature amount extracting section 2 utilizes the above-mentioned respective functions so that the following five types within a predetermined time period can be obtained. Each feature quantity is extracted.

(1) Number of pulses (2) Maximum value of pulse ON time (3) Maximum value of pulse OFF time (4) Maximum value of ON time ratio (5) Maximum value of OFF time ratio Now, with reference to FIG. When the pulse wave P is detected at time t ₁ and the first pulse P ₁ rises, the rising state of each pulse within the time period of 3 seconds is checked.

Here, the number of pulses in (1) is 4 because four pulses of P ₁ , P ₂ , P ₃ , and P ₄ are detected in this example.

Next, the maximum value of the pulse ON time in (2) is
ON time T ₁ , T ₂ , of four pulses P ₁ , P ₂ , P ₃ , P ₄
The maximum value is selected from T ₃ and T ₄ , and since T ₂ is the maximum in this example, the maximum ON time is T ₂ .

Similarly, the maximum value of the pulse OFF time in (3) is selected from among the times T ₅ , T ₆ , and T ₇ between the pulses, and in this example, T ₇ is the maximum, so the OFF The maximum time value is T ₇ .

Since the maximum OFF time is measured only for the time between each pulse, the time T ₈ from the fall of the last pulse T ₄ to the end of the time measurement of 3 seconds is OF.
Not used for F time.

Next, the maximum value of the ON time ratio of (4) is selected from the maximum ON time ratio calculated by the following equation (1) ON time ratio = current ON time / previous ON time (1). Be done.

Therefore, in this example, T ₂ / T ₁ , T ₃
The maximum one is selected from / T ₂ , T ₄ / T ₃ .

Further, the maximum OFF time ratio of (5) is selected from the maximum OFF time ratio calculated by the following equation (2) OFF time ratio = current OFF time / previous OFF time (2). ..

Therefore, in this example, T ₆ / T ₅ , T ₇
The maximum of / T ₆ will be selected.

When the number of detected pulses is 1, the maximum value of the ON time ratio in (4) and the maximum value of the OFF time ratio in (5) are set to 0.

The above is the configuration of the seismic switch 1 and the feature amount extraction unit 2. First, referring to the flowcharts of FIGS. 7 to 11, the calculation processing procedure of each feature amount in the feature amount extraction unit 2 will be described below. explain.

FIG. 7 is a flow chart showing the procedure for calculating the number of pulses in (1).

In this process, when the program is started, it is checked whether the input signal is ON (step 100), and if it is ON, the timer is started (step 1).
02), the counter value is set to 1, and the flag is set to 1 (step 104).

Next, it is checked whether or not the timer is operating (step 106). If the timer is operating and the input signal is ON,
If the flag is 0 (YES in steps 106, 108 and 110), the counter is incremented (step 112).

Then, when the determination at step 106 is NO and the fixed time period ends, the counter value at that time is set as the pulse number (step 116).

Next, FIG. 8 is a flowchart showing the procedure for calculating the maximum ON time value and the maximum OFF time value in (2) and (3).

Although the maximum ON time value and the maximum OFF time value are obtained in one step for convenience of explanation in the figure, they are actually obtained separately. Therefore, in the following description, only the processing procedure for obtaining the ON-time maximum value will be described in order to omit redundant description, but the OFF-time maximum value can also be obtained by exactly the same processing procedure.

The processing shown in FIG. 8 is performed after the processing of steps 100 and 102 in FIG. 7. First, in step 200, the ON time of the first detected pulse is the temporary ON time maximum value on-. It is set to max.

Subsequently, in step 202, it is checked whether or not the timer is operating, and if the timer is operating, the ON time of the pulse detected next is obtained (step 204).

Next, in step 206, step 20
ON time detected in 4 and temporary ON detected up to that time
The time maximum value on-max is compared, and if the newly detected ON time is larger, the value of on-max is updated (step 208).

Thus, the temporary ON during the timer operation.
The value of the maximum time value on-max is sequentially updated, and the maximum on-max during a predetermined time period is obtained as the maximum ON time value (step 210).

Next, FIG. 9 shows step 204 in FIG.
3 is a flowchart showing the details of FIG.

In this processing, first, the value of the timer at the time of pulse rise when the input signal is ON is stored as time (step 300), and when the input signal is turned off (YES in step 302), it is turned on from step 304.
The time is obtained, and the value of the timer at that time is stored as time.

Next, when the input signal is turned ON (YES in step 306), the OFF time is obtained in step 308.

In the process of step 310, when the timer stop is detected, the process of step 312 is performed, and while the timer is operating, the processes of steps 300 to 308 are repeated to sequentially detect the ON time and the OFF time. There is.

Next, FIG. 10 is a flow chart showing the procedure for calculating the maximum ON time ratio and the maximum OFF time ratio in (4) and (5).

Note that in FIG. 10 as well, for convenience of explanation, 1
Although the maximum value of the ON time ratio and the maximum value of the OFF time ratio are obtained by one step, they are actually obtained separately.

Therefore, in the following description, ON
Only the processing procedure for obtaining the maximum time ratio will be explained,
The maximum value of the OFF time ratio can be obtained by the same processing procedure.

Similar to the process shown in FIG. 8, the process in FIG. 10 is also performed following the processes of steps 100 and 102 shown in FIG.

Then, in step 400, the ON time ratio calculated for the first time is set to the provisional ON time ratio maximum value on ratio-max, and while the timer is operating (YE in step 402).
S), the sequential ON time ratio is calculated (step 404),
Temporary ON time ratio maximum value calculated by that time on ratio-m
If it exceeds ax (YES in step 406), provisional ON
The maximum time ratio value on ratio-max is updated (step 4).
08).

In this way, the temporary ON time ratio maximum value is successively updated while the timer is operating, and the maximum on ratio -max during a fixed time period is obtained as the ON time ratio maximum value (step 410).

Next, FIG. 11 shows step 4 in FIG.
It is a flowchart which shows the detail of 04.

In this process, it is first checked whether the counter value is 2 or more (step 500), and the counter value is 2.
If it is above, the ON time at the time of the previous detection is set to on time.
"A" and the OFF time are set to off time "a" (step 502).

Then, the ON time and OFF time of this time are obtained and set as on time and off time (steps 506 and 508), and the ON time ratio and the OFF time ratio are obtained by calculating the equation of step 510.

The above is the processing procedure when the feature amount extraction unit 2 extracts five types of feature amounts.

By the way, as a result of diligent research conducted by the inventors of the present application, between the five types of feature quantities extracted by the feature quantity extraction unit 2 as described above and the earthquake or the shock other than the earthquake which is the excitation factor of vibration. Have the following relationships.

That is, FIG. 12 shows the relationship between the number of pulses and the excitation factors. The figure (a) shows the case where the vibration is due to an earthquake, and the figure (b) shows the case where there is a shock other than the earthquake,
It can be seen that the total pulse number is large in the case of an earthquake, while the total pulse number is small in the case of an impact. In particular, the number of pulses is small in the case of normal vibration such as inadvertent collision with an object or vibration due to passage of a car. Therefore, as described above, the determination output unit 4 determines that the number of pulses is “normal” when the total number of pulses is less than three.

Next, FIG. 13 shows the relationship between the ON time or OFF time of the pulse and the excitation factor.
Shows the case where the vibration is due to an earthquake, and (b) shows the case due to a shock that is not an earthquake. As shown in (a) of the figure, in the case of an earthquake wave, the maximum value of ON time or OFF time becomes large, while as shown in (b). In case of impact, the maximum value of ON time or OFF time becomes smaller.

Further, FIG. 14 shows the relationship between the ON time ratio (solid line) or the OFF time ratio (dotted line) and the excitation factor. When the vibration is caused by an earthquake, FIG. b) shows the case of non-earthquake impact, and it can be seen that the maximum values of the ON time ratio and OFF time ratio increase in the case of an earthquake, as shown in FIG.

Therefore, the number of pulses, maximum ON time, OF
Membership functions relating to the maximum F time value, the maximum ON time ratio value, and the maximum OFF time ratio value are provided as shown in FIGS. 15 (a) to 15 (e), and the following fuzzy rules are created and extracted by the feature amount extraction unit. Whether the excitation factor of vibration is an earthquake, that is, "abnormality 1" based on the five types of feature data
In this embodiment, an attempt is made to determine whether the shock is not an earthquake, that is, "abnormal 2".

Rule 1 if ON time ratio maximum value = large then judgment = abnormal 1 (earthquake) Rule 2 if if OFF time ratio maximum value = large then judgment = abnormal 1 (earthquake) Rule 3 if pulse count = large and ON time maximum Value = Large then Judgment = Abnormal 1 (Earthquake) Rule 4 if Maximum ON time = Small and maximum OFF time = Small Ten judgment = Abnormal 2 (Impact other than earthquake) Rule 5 if Maximum OFF time = Large then Judgment = Abnormality 1 (Earthquake) Rule 6 if Number of pulses = Small then Judgment = Abnormality 2 (Impact other than earthquake) In this case, in Rule 1, the membership function of MF _{1 in} FIG. The adaptability is calculated by applying the maximum value of the ON time ratio output from No. 2.

In Rule 2, the membership function of MF _{2 in} FIG. 15 (e) is used, and the fitness is calculated in the same manner.

In rule 3, the membership function of MF _{3 in} FIG. 15A and the membership function of MF ₄ in FIG. 15B are used, and the fitness level is calculated by AND (logical product) of those fitness levels. It

According to rule 4, MF ₅ , M in FIGS. 15 (b) and 15 (c) are used.
The membership function of F ₆ is used, and similarly the fitness by AND (logical product) of both membership functions is calculated.

In Rule 5, the membership function of MF _{7 in} FIG. 15 (c) is used to calculate the goodness of fit.

In Rule 6, the membership function of MF _{8 in} FIG. 15 (d) is used to calculate the goodness of fit.

When the degree of conformity in each rule is calculated in this way, an inference result as shown in FIG. 16 is obtained.

In the figure, it is judged that the numerical value of the judgment value J closer to -1 is more likely to be abnormal 2 (impact other than earthquake), and the numerical value closer to 1 is more likely to be abnormal 1 (earthquake). It means the judgment.

Then, in this example, rules 1, 2, 3,
The suitability of the determination of abnormality 1 using S ₅ is S ₁ (0.
54), if the suitability for the determination of abnormality 2 using rules 4 and 6 is S ₂ (1), the determination value J is J ₀ (−0.3).

By the way, the closer the judgment value J is to -1, the more abnormal it is, and the closer it is to 1, the more abnormal it is.

Therefore, for example, if the judgment value J is a positive number, it may be judged to be abnormal 1, and if the judgment value J is a negative number, it may be judged to be abnormal 2, or a predetermined threshold value may be set, and for example, the judgment value J may be -1. ~-
If it is determined that the abnormality is 2 in the range of 0.2 and the abnormality 1 is in the range of the determination value J of 0.2 to 1, it is possible to perform a more accurate determination process.

In this way, the vibration detection device 5 gives the alarm determination means 36 of the alarm device 30 data corresponding to four types of "none", "normal", "abnormal 1" and "abnormal 2". While the vibration is being detected, the output of “with vibration” is given to the timer 31.

The alarm determination means 36 determines which of a plurality of types of alarm signals of the alarm signal memory 33 should be output according to the output from the vibration detection device 5 and the duration of the vibration measured by the timer 31.

In this embodiment, the alarm signal memory 33 stores the following three types of alarm signals.

Warning signal 1 …… “I am reporting to the police. The police will arrive soon.” Warning signal 2 …… “Peepoo, Peepoo, Peepoo” Warning signal 3 …… “A suspicious vibration is occurring. Next, the operation of the security device having the above configuration will be described based on the flowchart of FIG.

First, it is judged whether or not there is vibration (step 700). When it is judged that there is vibration, the timer 3
1 is turned on and the duration of vibration is measured (step 70
1) As described above, the excitation factor of vibration is determined by fuzzy reasoning (step 702). Based on the determination result and the time measured by the timer 31, as described later,
The type of the alarm signal to be output is determined, and the output level according to the ambient noise level detected by the microphone 32 is determined (step 703).
The gain of No. 4 is adjusted to issue an alarm from the speaker 35 (step 704), and it is further determined whether or not there is vibration (step 705).
Returning to 02, when there is no vibration, the timer 31 is turned off (step 706) and the process returns to step 700.

FIG. 18 is a flow chart showing the details of the alarm signal determination processing, and it is judged whether or not there is an abnormality 2 (vibration due to a drill or hammer) (step 80).
0) If it is abnormal 2, it is judged whether or not one minute has passed since the detection of vibration (step 801), and when it has passed, the alarm signal 2 is read from the alarm signal memory 33 (step 802), and the operation is passed. If not, alarm signal 1
Is read (step 803), the level of ambient sound from the microphone 31 is detected (step 804), and the gain of the amplifier 34 is adjusted so as to obtain an output level corresponding thereto (step 805).

When it is determined that the abnormality is not the abnormality 2 in step 800, it is determined whether or not the abnormality 1 (vibration due to an earthquake) (step 806) and the abnormality 1
If so, read the alarm signal 3 (step 807).
Move to step 804. In step 806, abnormality 1
If it is determined that it is not, the process proceeds to step 705 of FIG.

As described above, when the cause of vibration is discriminated and an abnormality is detected, an alarm is issued. Therefore, for example, when a person or an object is inadvertently hit, the alarm is prevented. can do. Moreover, since the alarm signal is changed according to the vibration excitation factor and the vibration duration, it is more effective in preventing theft than the conventional monotonous alarm. Since the output level of the signal is adjusted, there is no fear that the alarm cannot be heard due to a large amount of ambient noise.

FIG. 19 is a block diagram of another embodiment of the present invention, in which parts corresponding to the above-mentioned embodiments are designated by the same reference numerals.

The security device of this embodiment is composed of the vibration detecting device 5
And whether or not there is an abnormality by performing fuzzy inference based on the outputs of the temperature rise detection unit 6 that detects the temperature rise and outputs the temperature rise data, and the vibration detection device 5 and the temperature rise detection unit 6. The inference unit 7 for judgment and the alarm device 30 ₁ for issuing an alarm when there is an abnormality based on the output of the inference unit 7 are basically configured.

The vibration detecting device 5 is the same as that of the above-mentioned embodiment, but in this embodiment, the judgment output unit 4 receives the output of the inference unit 3 and follows the flowchart of FIG.
The output value indicated by 0 is given to the inference device 7. That is,
When "none", an output value of 0 is given, when "normal", an output value of 0.2 is given, and when "abnormal 1" and "abnormal 2", the inference unit 3 makes the determination of FIG. Value -1-
1 is given as an output value in correspondence with 0.5 to 1. At this time, the output value 0.5 side corresponds to the abnormality 2 and the output value 1 side corresponds to the abnormality 1.

The temperature rise detection unit 6 detects a temperature change in the vicinity of the vending machine, and as temperature rise data, the temperature rise per unit time, that is, the data of the temperature rise rate is inferred by the reasoning unit 7.
Give to.

The inference unit 7 uses the data from the vibration detection device 5 and the data of the temperature rise rate from the temperature rise detection unit 6 to determine whether the vibration or temperature rise applied to the vending machine is the vibration of the passing vehicle. Is it due to normal factors such as
Whether it is due to an abnormal factor such as a drill, a hammer, or a burner is determined by fuzzy inference as described later.

The alarm device 30 ₁ includes a timer 31 ₁ for measuring the duration of vibration and the elapsed time of temperature rise, a microphone 32 for detecting the sound around the vending machine, and the alarm signal 1 of the above embodiment. 2 is stored in the alarm signal memory 33 _1, and a water discharge device 37 as a preventive means for physically preventing theft by making it difficult to approach the vending machine.
Based on the output of the inference unit 7 and the time measured by the timer 31 ₁ , the type of the alarm signal to be output and whether to operate the water discharger 37 are determined, and the ambient sound (noise) detected by the microphone 32 is determined. ) And an alarm decision means 36 ₁ for issuing an alarm from the speaker 35 by adjusting the gain of the amplifier 34 by determining the output level according to the level.

Next, based on the outputs of the vibration detection device 5 and the temperature rise detection unit 6, whether the vibration and temperature rise applied to the vending machine are due to normal factors, whether the drill,
The inference unit 7 that makes a fuzzy inference to determine whether the cause is an abnormal factor such as a hammer or a burner will be described in detail.

In this embodiment, the judgment by the inference unit 7 is
This is performed by the membership function shown in FIGS. 21 and 22 and the fuzzy rules in the table below.

That is, FIG. 21A shows a membership function of vibration data, which has four labels of “none”, “normal”, “abnormal 1”, and “abnormal 2”.
(B) shows the membership function of the temperature rise data,
It has two labels, "absence" and "presence" of the rapid temperature rise.

FIG. 22 shows the membership function of the judgment output which is the consequent part, and has two labels, "abnormal" and "normal".

The fuzzy rules are as shown in the following table.

[0104]

【table】

When the vibration and temperature rise are detected, the inference unit 7 makes a fuzzy inference as follows.

First, given the temperature rise rate data and the vibration data, the goodness of fit is obtained in the membership function corresponding to each fuzzy rule. Then, for each fuzzy rule, the smallest value of the matching degree of each antecedent part is selected as the antecedent part matching degree (MIN calculation). In this way, the membership functions related to the consequent part of each fuzzy rule are cut by the conformance of the antecedent part obtained in each fuzzy rule, and the membership functions related to all the cut fuzzy rules are overlapped (MAX operation), overlay the output value of the position corresponding to the center-of-gravity position is determined shapes, the output value, it is determined whether or not normal, the determination output, the alarm device 30 ₁ of the warning determining unit 36 ₁ Given to.

Next, the operation of the security device having the above configuration will be described based on the flowchart of FIG.

First, it is judged whether or not there is vibration (step 900). When it is judged that there is vibration, the timer 3
Turn on 1 ₁ and measure the duration of vibration (step 90
2) Also, when it is determined that there is no vibration, it is determined whether or not there is a temperature rise (step 903), and when it is determined that there is a temperature rise, the timer 31 ₁ is turned on to set the elapsed time of the temperature rise. Measure (step 902). next,
The inference unit 7 performs fuzzy inference as described above to determine whether or not it is normal (step 904). Based on this determination result and the time measured by the timer 31 ₁ , when there is an abnormality, the type of the alarm signal to be output and whether or not to operate the water discharger 37 are determined as described below, and the microphone 32 detects the alarm signal. Determine the output level of the alarm signal according to the surrounding noise level (step 90
5) The gain of the amplifier 34 is adjusted to issue an alarm from the speaker 35 (step 906), and it is further determined whether or not there is vibration (step 907). when not, the timer 31 ₁ is turned off to stop the measurement of the duration of the vibration (step 908), it is determined whether there is a temperature increase (step 909), when there is a temperature rise, step 90
Return to 4. When the temperature does not rise, the timer 31
₁ is turned off, the measurement of the elapsed time of the temperature rise is stopped, and the process returns to step 910.

FIG. 24 is a flow chart showing the details of the processing for determining the type of alarm signal and whether or not to operate the water discharger 37.

First, it is judged whether or not there is an abnormality (step 1000). If there is an abnormality, it is judged whether or not there is a temperature rise (step 1001). If there is a temperature rise, the temperature rise is detected. It is judged whether or not one minute has passed (step 1002), and when it has passed, the water discharger 3
7 is operated to start water discharge (step 1003).
When it is determined that the temperature has not risen, it is determined whether or not 1 minute has elapsed since the vibration was detected (step 100
4) When 1 minute has elapsed, the alarm signal 2 is read from the alarm signal memory 33 ₁ (step 1005), and when not elapsed, the alarm signal 1 is read (step 1).
006), the level of ambient sound from the microphone 31 is detected (step 1007), and the gain of the amplifier 34 is adjusted so as to obtain an output level corresponding thereto (step 1008).

If it is determined in step 1000 that there is no abnormality, the process proceeds to step 907 in FIG.

In this embodiment, in addition to the effects of the above-described embodiment, even if there is no impact and damage caused by heat using a burner or the like, it is possible to reliably determine an abnormality and issue an alarm. Furthermore, when the abnormal duration is long,
Since it makes it difficult to access the vending machine by discharging water and physically abandoning the continuation of vandalism,
The vandalism caused by theft can be minimized.

[0113]

As described above, according to the present invention, it is possible to reliably detect a sabotage of a vending machine or the like, such as melting using a burner or a laser without impact.

Further, it is possible to prevent malfunction due to inadvertent shock or earthquake.

Further, the alarm is output at a level according to the ambient noise level, and the alarm can be heard without fail.

Further, since the alarm is selected and output from a plurality of types of alarm signals according to the degree of abnormality such as the duration of vibration, it is more effective in theft prevention effect than the conventional monotonous alarm. is there.

Furthermore, by operating a preventive means such as a water discharge device at the time of theft, it is difficult to continue the sabotage of the vending machine and the like, and the damage can be minimized.

[Brief description of drawings]

FIG. 1 is a block diagram showing an overall configuration of an embodiment to which the present invention is applied.

FIG. 2 is a block diagram of the vibration detection device of FIG.

FIG. 3 is a flowchart of a determination process of the vibration detection device.

FIG. 4 is a detailed cross-sectional view of the seismic switch in FIG.

5 is a functional block diagram of a feature amount extraction unit in FIG.

FIG. 6 is an explanatory diagram of a characteristic amount of a pulse wave generated by a characteristic amount extraction unit.

FIG. 7 is a flowchart showing a procedure for calculating the number of pulses.

FIG. 8 is a flowchart showing a procedure for calculating a maximum ON time value and a maximum OFF time value.

9 is a flowchart showing details of a calculation processing procedure of ON time and OFF time in FIG.

FIG. 10 is a flowchart showing a procedure for calculating an ON time ratio maximum value and an OFF time ratio maximum value.

11 is a flowchart showing details of a calculation processing procedure of an ON time ratio and an OFF time ratio in FIG.

FIG. 12 is an explanatory diagram showing a relationship between a pulse number and a vibration excitation factor.

FIG. 13 is an explanatory diagram showing a relationship between ON time and OFF time and a vibration excitation factor.

FIG. 14 is an explanatory diagram showing the relationship between the maximum value of the ON time ratio and the maximum value of the OFF time ratio and the excitation factor of vibration.

FIG. 15 is an explanatory diagram of a membership function used in the vibration detection device.

FIG. 16 is an explanatory diagram of an inference result of the vibration detection device.

FIG. 17 is a flowchart for explaining the operation.

FIG. 18 is a flowchart for explaining the operation.

FIG. 19 is a block diagram showing the overall configuration of another embodiment of the present invention.

20 is a diagram showing the output of the vibration detection device 5 of the embodiment of FIG.

FIG. 21 is a diagram showing a membership function of the antecedent part.

FIG. 22 is a diagram showing a membership function of the consequent part.

FIG. 23 is a flowchart for explaining the operation.

FIG. 24 is a flowchart for explaining the operation.

[Explanation of symbols]

5 Vibration Detection Device 6 Temperature Rise Detection Unit 7 Reasoning Unit 30, 30 ₁ Alarm Device 31 Timer 32 Microphone 33, 33 ₁ Alarm Signal Memory 34 Amplifier 36.36 ₁ Alarm Determining Means

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Claims (6)

[Claims] 1. A security device for preventing theft of a vending machine or the like, which is based on an output of a vibration detection device for detecting vibration and determining an excitation factor of the vibration, and an output of the vibration detection device. An alarm device for issuing an alarm when there is an abnormality, wherein the alarm device is a sound detection unit that detects ambient sound, and an alarm corresponding to the level of the ambient sound based on the output of the sound detection unit. A security device, comprising: an alarm determination unit that determines an output level of a signal. 2. A crime prevention device for preventing theft of a vending machine or the like, the vibration detecting device detecting vibration and determining an excitation factor of the vibration, and a temperature rise detecting unit detecting a temperature rise. And an inference unit that determines whether or not there is an abnormality based on the outputs of the vibration detection device and the temperature rise detection unit, and an alarm device that issues an alarm when there is an abnormality based on the output of the inference unit. The alarm device includes a sound detecting unit that detects a surrounding sound, and an alarm determining unit that determines an output level of an alarm signal according to a level of the surrounding sound based on an output of the sound detecting unit. Crime prevention device characterized by including. 3. A crime prevention device for preventing theft of a vending machine or the like, which is based on an output of the vibration detection device and a vibration detection device that detects vibration and determines an excitation factor of the vibration. An alarm device for issuing an alarm when there is an abnormality, the alarm device comprising: a measuring unit that measures the duration of vibration; a storage unit that stores a plurality of types of alarm signals; the measuring unit and the A security device, comprising: an alarm determination unit that determines the type of an alarm signal to be output based on the output of the vibration detection device. 4. A security device for preventing theft of a vending machine or the like, which comprises a vibration detecting device for detecting vibration and determining an excitation factor of the vibration, and a temperature rise detecting section for detecting temperature rise. And an inference unit that determines whether or not there is an abnormality based on the outputs of the vibration detection device and the temperature rise detection unit, and an alarm device that issues an alarm when there is an abnormality based on the output of the inference unit. The alarm device includes a measuring unit that measures the duration of vibration and the elapsed time of temperature rise, a storage unit that stores a plurality of types of alarm signals, and a measuring unit based on the outputs of the measuring unit and the inference unit. And a warning determination means for determining the type of warning signal to be output. 5. A crime prevention device for preventing theft of a vending machine or the like, which is based on an output of the vibration detection device and a vibration detection device that detects vibration and determines an excitation factor of the vibration. , An alarm device for issuing an alarm when there is an abnormality, the alarm device is a measurer for measuring the duration of vibration, and a preventive device to prevent physical theft by making it difficult to approach a vending machine or the like. A crime prevention device comprising: means and alarm determination means for determining whether or not to operate the prevention means based on outputs of the measurement means and the vibration detection device. 6. A crime prevention device for preventing theft of a vending machine or the like, which comprises a vibration detecting device for detecting vibration and determining an excitation factor of the vibration, and a temperature rise detecting section for detecting a temperature rise. And an inference unit that determines whether or not there is an abnormality based on the outputs of the vibration detection device and the temperature rise detection unit, and an alarm device that issues an alarm when there is an abnormality based on the output of the inference unit. The alarm device comprises a measuring means for measuring the duration of vibration and the elapsed time of temperature rise, a preventive means for preventing physical theft by making it difficult to approach a vending machine, etc., and the measuring means. And a warning determination unit that determines whether or not to operate the prevention unit based on the output of the inference unit.