KR101070803B1 - Unmanned guard system using ubiquitous sensor networks - Google Patents

Abstract

The present invention relates to an unmanned security system using a ubiquitous sensor network, the technical problem to be solved by using the general characteristics of the whistle sound having a predetermined frequency band to recognize the sound informing the strong danger to the surrounding noise, ubiquitous sensor network terminal It is to provide an unmanned security system that can detect and transmit risk information wirelessly by using a device in which sensing and transmission are integrated even in a large area by using.
To this end, the unmanned security system according to the present invention includes a plurality of sensor nodes and a central system management station installed in a desired area for unmanned security, and when an acoustic signal occurs in the unmanned security system, the area around the area where the acoustic signal is generated The sensor nodes detect the sound signal according to a preset dangerous situation determination algorithm to determine whether the sound signal is a sound signal related to a dangerous situation, and if the sound signal is determined to be a sound signal related to a dangerous situation, the central system management office. In this case, the central system management center transmits a danger signal by sending a guard manpower by tracking the location of the sensor nodes that have transmitted the danger signal. .

Description

Unmanned security system using ubiquitous sensor network {UNMANNED GUARD SYSTEM USING UBIQUITOUS SENSOR NETWORKS}

The present invention relates to an unmanned security system using a ubiquitous sensor network.

In general, a ubiquitous sensor network (USN) refers to a service network environment for installing small sensor nodes in a specific area to obtain surrounding information or information for a specific purpose.

That is, a structure in which several sensor network fields are connected to an external network through a communication network. Here, the sensor nodes transmit data to the close sink node, and the data transmitted to the sink node is finally delivered to the manager so that the user can collect and utilize the information around the sensor field in an automated manner. There is this.

On the other hand, in the unmanned security system using the existing acoustic signal, if the system installed in the grid structure in the monitoring area has the same frequency region for a certain time or more, the surrounding area has the same frequency range, and detects the position by detecting it. The device is designed to receive signals and send them to the central system through several relay devices.

However, in this case, it is possible to determine the exact location only when the system is installed in a grid structure, and even if only one system in the middle fails, the exact location cannot be determined.

In addition, the relay device using the serial communication must also be installed separately, there is a problem that can react to the ambient noise.

The present invention has been invented to solve the above problems, by using the general characteristics of the whistle sound having a certain frequency band to recognize the sound informing the strong danger to the surrounding noise, using a ubiquitous sensor network terminal In this regard, the purpose of the present invention is to provide an unmanned security system that can detect and transmit risk information wirelessly using a device in which sensing and transmission are integrated at the same time, and can supply power by inserting solar cells for the convenience of the user.

In order to achieve the object as described above, the present invention, when the sensor node installed in the park or parking lot recognizes the specific frequency band of the whistle and is maintained for a predetermined time, the location information of its sensor node to the central management system In addition, the central management system provides an unmanned security system that can detect the occurrence of incidents and send security personnel based on the location information received.

In more detail, the present invention is an unmanned security system including a plurality of sensor nodes and a central system management station installed in an area for unmanned security,

When an acoustic signal is generated in the unmanned security system, sensor nodes around the region where the acoustic signal is generated detect the acoustic signal according to a preset dangerous situation determination algorithm to determine whether the acoustic signal is an acoustic signal related to a dangerous situation. If the sound signal is determined to be a sound signal associated with a dangerous situation, and transmits a dangerous signal to the central system management office,

The central system office receiving the danger signal is characterized by sending the guard personnel by tracking the location of the sensor nodes that transmitted the danger signal.

Here, the first embodiment of the predetermined risk situation determination algorithm, the first process of measuring the frequency band of the sound signal generated in the unmanned security system through the plurality of sensor nodes, and through the first process A second step of judging a dangerous situation when the preset whistle frequency band is maintained for 3 seconds or more after 0.3 seconds from a time when the frequency exceeds a preset threshold value in the measured frequency band; and the sound through the second process If the signal is determined to be a sound signal associated with the dangerous situation may include a third process of transmitting the dangerous signal to the central system management office.

In addition, a second embodiment of the preset risk situation determination algorithm, the first process of measuring the frequency band of the sound signal generated in the unmanned security system through the plurality of sensor nodes, and through the first process A second step of judging a dangerous situation when a predetermined whistle frequency band is detected more than twice within 3 seconds in the measured frequency band; and when the sound signal is determined to be a sound signal related to a dangerous situation through the second step, And a third step of transmitting a danger signal to the central system management office.

In addition, a third embodiment of the preset risk situation determination algorithm, the first process of measuring the frequency band of the sound signal generated in the unmanned security system through the plurality of sensor nodes, and through the first process A second step of judging a dangerous situation when the uniform frequency band is maintained for 0.5 seconds or more within 3 seconds from the time when a preset whistle frequency band is detected in the measured frequency band for 0.5 seconds or more, and the sound through the second process If the signal is determined to be a sound signal associated with the dangerous situation may include a third process of transmitting the dangerous signal to the central system management office.

Finally, a fourth embodiment of the preset risk situation determination algorithm includes a first process of measuring a frequency band of an acoustic signal generated in the unmanned security system through the plurality of sensor nodes, and the first process. A second process of determining a dangerous situation when the predetermined whistle frequency band is maintained for 0.5 seconds or more within 3 seconds from the time when the uniform frequency band is maintained for 0.5 seconds or more in the frequency band measured through the second process; If it is determined that the sound signal is a sound signal associated with a dangerous situation, it may include a third process of transmitting the danger signal to the central system management office.

Meanwhile, one or more of an acoustic sensor, an illuminance sensor, a thermal sensor, a smoke sensor, a humidity sensor, and a GPS may be built in the sensor node.

When the plurality of sensor nodes are installed in an area where an unmanned expense is desired, the plurality of sensor nodes may automatically configure a network.

The sensor node may be equipped with a solar cell to enable automatic charging.

As described above, according to the unmanned security system using the ubiquitous sensor network according to the present invention, it is possible to wirelessly set up a communication network over a large area and to reduce the number of malfunctions because it is strong against ambient noise.

In addition, even if one sensor node fails, accurate position tracking is possible through other sensor nodes, and it can be installed at a desired position without separate wiring and basic devices, thereby reducing the time required to construct a system. .

In addition, since the solar cell is inserted, power can be supplied by itself without a separate power supply line or wiring, and thus management is very convenient.

1 is a conceptual diagram of an unmanned security system using a ubiquitous sensor network according to the present invention, Figure 2 is a flow chart showing the entire algorithm.
3 is a flowchart illustrating a first embodiment of a risk situation determination algorithm, and FIG. 4 is a graph for explaining the same.
FIG. 5 is a flowchart for describing a second embodiment of a risk situation determination algorithm, and FIG. 6 is a graph for explaining the same.
7 is a flowchart illustrating a third embodiment of a risk situation determination algorithm, and FIG. 8 is a graph for explaining the same.
9 is a flowchart illustrating a fourth embodiment of a risk situation determination algorithm, and FIG. 10 is a graph for explaining the same.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention; First, it should be noted that the same components or parts among the drawings denote the same reference numerals whenever possible. In describing the present invention, detailed descriptions of related well-known functions or configurations are omitted in order not to obscure the gist of the present invention.

1 is a conceptual diagram of an unmanned security system using a ubiquitous sensor network according to the present invention, Figure 2 is a flow chart showing the entire algorithm.

The unmanned security system according to the present invention includes a plurality of sensor nodes and a central system management station installed in an area where an unmanned security guard is desired, and when an acoustic signal is generated in the unmanned security system, sensor nodes around an area where the acoustic signal is generated. The sound signal is detected according to a preset dangerous situation determination algorithm to determine whether the sound signal is an acoustic signal related to a dangerous situation, and if the sound signal is determined to be an acoustic signal related to a dangerous situation, the dangerous signal is sent to the central system office. Sending a signal, the central system management office receiving the dangerous signal to send the guard personnel by tracking the location of the sensor nodes that transmitted the dangerous signal.

Hereinafter, the sensor nodes (mot) installed in the unmanned security system according to the present invention will be described.

These sensor nodes support wireless network technology for ubiquitous computing environment, and it is desirable to be designed small and low power in order to be competitive in size and price.

However, in the system according to the present invention, any type of sensor node (mot) may be used as long as it can automatically establish an optimal communication network according to the event occurrence position and transmit data to the central system management office. The type of the sensor node of the present invention is not limited thereto.

Meanwhile, when one sensor node of the plurality of sensor nodes is fixed, the remaining sensor nodes may establish a new communication network and transmit data to the central system management office.

In addition, a sound, an illuminance, a heat, a smoke, a humidity sensor, and a GPS may be inserted into the sensor node so as to recognize various surrounding information.

Next, the concept of how to determine the location of the event in the unmanned security system using the ubiquitous sensor network according to the present invention.

The equipment used in the existing unmanned security system has a lattice pattern that recognizes the sound and locates the location. In the event of a breakdown or in a wide area such as a park or mountain, it was difficult to use.

However, in order to solve this problem, the present invention can be used in a large area because the network is automatically configured by simply spraying the sensor node (mot) on a park or a mountain, and the sensor nodes used in the present invention are priced. Because of its cheapness and small size, it is not a big problem to spread it over large areas.

Meanwhile, as shown in FIG. 1, when an event occurs at a specific point in the unmanned security system according to the present invention, sensor nodes 2, 3, and 5, which are around an event occurrence point, operate to centralize the risk detection data of the three parts. It sends to the system management center, and the center point of the sensor node 2, 3, 5 is recognized as the event occurrence area to take measures such as sending security personnel from the central system management office.

Here, in the case of Figure 1, the risk detection data, such as 3 → 5 → 6 → Central System Office or 2 → 4 → 6 → Central System Office or 5 → 6 → Central System Office Can be sent by path.

Next, how the sensor node detects sound and generates an alarm will be described. First, in the process of recognizing sound and generating an alarm or determining a situation, it is important to distinguish between noise and an alarm occurrence situation and to generate an alarm.

The acoustic detection method used in the basic unmanned security system has a problem in that it can react to ambient noise such as a car horn sound because it detects an acoustic signal of a certain volume or more as a dangerous signal only if it maintains the same frequency for a predetermined time.

However, in general, the frequency of the whistle is about 2600 Hz, and when using a device that can make the frequency uniform, such as the whistle, it uses a specific frequency instead of the volume and the frequency maintained for a certain time. Frequency band filtering allows the sensor node to detect danger without being affected by noise.

In the present invention, four dangerous situation determination algorithms will be described below in order to be more accurate and to prepare for noise or malfunction.

3 is a flowchart illustrating a first embodiment of a risk situation determination algorithm, and FIG. 4 is a graph for explaining the same.

First, when a person blows a whistle, there is a frequency rise time without immediately entering the whistle frequency band as shown in the graph shown in FIG. 4.

Here, when the whistle frequency is 2600 Hz as the average frequency, a difference between about 2000 Hz and 3000 Hz may be regarded as a whistle frequency range in consideration of a certain frequency difference.

As described above, the specific threshold frequency value shown in the graph of FIG. 4 may be referred to as a reference point for ignoring the frequency of the rising portion in consideration of the time difference before entering the frequency band of the whistle and finding a frequency band having a constant size. . That is, if a frequency of a specific threshold frequency value is observed, the frequency of about 0.3 seconds thereafter is a frequency rising period, and is ignored, and it is determined whether it is a whistle frequency from the subsequent frequency.

If, after about 0.3 seconds, the frequency range of the whistle is maintained for more than 3 seconds, it is recognized as a dangerous situation and generates an alarm. Otherwise, if the whistle frequency is not detected, it is considered as noise and does not generate an alarm.

FIG. 5 is a flowchart for describing a second embodiment of a risk situation determination algorithm, and FIG. 6 is a graph for explaining the same.

If the user meets the molar and blows the whistle In the first embodiment described above, when the mole is taken away from the whistle or if the user is embarrassed and cannot blow the whistle for a long time, the second embodiment can recognize the situation with noise. The algorithm according to the above was further inserted.

In the present embodiment, as shown in the graph of FIG. 6, when a whistle frequency of 0.5 seconds or more occurs two or more times within 3 seconds after a specific threshold frequency value is observed, a warning signal is generated.

7 is a flowchart illustrating a third embodiment of a risk situation determination algorithm, and FIG. 8 is a graph for explaining the same.

Like the algorithm according to the second embodiment described above, the algorithm of the present embodiment is an algorithm for a case in which the user does not blow the whistle for a predetermined time or more.

For example, if the user blows the whistle and misses the whistle or is taken away by the mole, a situation occurs in which the whistle cannot be used. An algorithm prepared in this case is the algorithm according to the present embodiment.

As shown in the graph of FIG. 8, when the whistle frequency is generated for 0.5 seconds or more and any frequency band is maintained within 0.5 seconds after the whistle frequency ends (the specific threshold frequency value is not exceeded at this time), the alarm is alerted. Occurs.

This is because the range of the human voice varies from person to person, so that if any frequency band is held for more than 0.5 seconds after the whistle frequency is recognized without exceeding the threshold, it is recognized as a dangerous situation.

9 is a flowchart illustrating a fourth embodiment of a risk situation determination algorithm, and FIG. 10 is a graph for explaining the same.

The algorithm according to the present embodiment is an algorithm for a case in which the user does not blow the whistle immediately because of the embarrassment, like the algorithm according to the third embodiment.

For example, suppose a user is embarrassed and screams first and then blows a whistle. Referring to the graph shown in FIG. 10, if a whistle frequency is detected for 0.5 seconds or more within 3 seconds after a predetermined size of frequency is maintained for 0.5 seconds or more, the alarm is regarded as a dangerous situation and an alarm is activated.

On the other hand, the data transmission equipment used in the existing unmanned security system had a inconvenience to be installed separately from the detection unit for detecting the acoustic signal. However, when the sensor nodes are used as in the present invention, since a detector for detecting an acoustic signal and a transmitter for transmitting data exist together, the problem of separately installing transmission equipment is eliminated.

In addition, in the present invention, by inserting a semi-permanent solar cell in the sensor node to automatically supply power, it is possible to reduce the inconvenience of installing a power line or replacement of a battery, as in the existing system, since the arrangement of the power line is also unnecessary, There is an effect that can eliminate the inconvenience of basic installation and management.

As described above with reference to the drawings illustrating an unmanned security system using a ubiquitous sensor network according to the present invention, the present invention is not limited by the embodiments and drawings disclosed herein, Of course, various modifications may be made by those skilled in the art within the scope.

Claims (8)

In an unmanned security system including a plurality of sensor nodes and a central system management station installed in an area where unmanned security is desired,
When a sound signal is generated in the unmanned security system, the sensor node detects the sound signal from sensor nodes around the region where the sound signal is generated, and the sound signal is in danger according to a preset risk situation determination algorithm. Determine whether the sound signal is related to the sound signal, and if the sound signal is determined to be a sound signal related to a dangerous situation, transmit a danger signal to the central system office,
The central system office, when receiving the danger signal, performs the operation of sending the guard personnel by tracking the location of the sensor nodes that sent the danger signal,
The risk situation determination algorithm,
A first step of measuring a frequency band of an acoustic signal generated in the unmanned security system through the plurality of sensor nodes;
A second process of determining a risk situation based on the frequency band measured through the first process and
And a third step of transmitting a danger signal to the central system management office when the sound signal is determined to be a sound signal related to a dangerous situation through the second process.
The second process,
Reflecting the time difference before entering the whistle frequency band, the predetermined whistle frequency band is maintained for 3 seconds or more after 0.3 seconds from the time when the frequency exceeds a preset threshold frequency value in the frequency band measured through the first process. In the case of a dangerous situation,
Alternatively, in order to prevent the user from recognizing a case in which the whistle is not long blowing in a dangerous situation as noise, when a preset whistle frequency band is detected more than twice within 3 seconds in the frequency band measured through the first process. Judge it as a dangerous situation,
Alternatively, in order to prevent the user from recognizing a situation in which the user cannot use the missed whistle due to the noise, noise is detected for 3 seconds from the time when the preset whistle frequency band is detected for 0.5 seconds or more in the frequency band measured through the first process. If the uniform frequency band is maintained for more than 0.5 seconds within the risk situation,
Alternatively, in order to prevent the user from screaming first and then detecting a whistle as noise, within 3 seconds from the time when the uniform frequency band is maintained for 0.5 seconds or more in the frequency band measured through the first process. Unmanned security system using a ubiquitous sensor network characterized in that it is determined as a dangerous situation when the preset whistle frequency band is maintained for 0.5 seconds or more.
delete delete delete delete The method according to claim 1,
The sensor node is an unmanned security system using a ubiquitous sensor network, characterized in that one or more of a built-in acoustic sensor, illuminance sensor, heat sensor, smoke sensor, humidity sensor and GPS.
The method according to claim 1,
When the plurality of sensor nodes are installed in an area that wants unmanned security, the unmanned security system using a ubiquitous sensor network, characterized in that automatically configure the network with each other.
The method according to claim 1,
The sensor node is an unmanned security system using a ubiquitous sensor network, characterized in that the automatic charging by mounting a solar cell.

Images