KR100896012B1 - System for preservation of public peace and watch using noise measurement and method thereof - Google Patents

Abstract

The present invention relates to a security monitoring system and method using the noise measurement to improve the use efficiency and stability by measuring and analyzing the noise applied to the security monitoring, the present invention, in the place to measure the noise A signal measuring unit measuring the noise generated; A signal processing unit converting the noise measured by the signal measuring unit into a signal for analysis and storage; A signal analyzer configured to analyze the signal converted by the signal processor corresponding to a preset analysis item; A signal determination unit for comparing a result of analysis of the signal analysis unit with a reference value for each item to determine whether a dangerous situation exists, and generating a control signal for event transmission when an event occurs as a result of the determination; A designated place storage unit for extracting and outputting a previously stored contact number in response to the event transmission control signal generated by the signal determination unit; It is provided with an event transmitter for transmitting an emergency to the contact number output from the designated place storage unit.

Noise measurement, signal analysis, security monitoring, risk assessment

Description

Security surveillance system and method using noise measurement {System for preservation of public peace and watch using noise measurement and method}

1 is a flow chart showing a first embodiment of a conventional security monitoring method.

Figure 2 is a flow chart showing a second embodiment of the conventional security monitoring method.

3 is a flowchart showing a third embodiment of the conventional security monitoring method.

Figure 4 is a block diagram showing the configuration of a security monitoring system using noise measurement in accordance with the present invention.

FIG. 5 is a detailed configuration diagram of the signal processor of FIG. 4. FIG.

6 is a detailed configuration diagram of the signal analysis unit of FIG. 4.

7 is a detailed configuration diagram of the signal determination unit of FIG. 4.

8 is a flow chart illustrating a security monitoring method using a noise measurement according to the present invention.

<Explanation of symbols for the main parts of the drawings>

110... Signal measuring unit

120... Signal processor

121... Analog / Digital Converter

122... Storage media

130... Signal analyzer

131... Controller

132... Sound level analyzer

133... Loudness analyzer

135... Sharpness analyzer

136... Roughness Analyzer

137... Tonality analyzer

138... Cortosis Analyzer

140... Signal determining unit

141... Criteria database

142... Comparator

The present invention relates to a security monitoring, and more particularly, to provide a security monitoring system and method using the noise measurement to improve the use efficiency and stability by measuring the noise and analyzing it and applying the security monitoring.

In general, the security surveillance system is used for security surveillance in homes and offices.It detects external intrusions or other possible dangers and generates alarms or notifies relevant authorities to protect humans from risks and to prevent property damage in advance. It is mainly used for the purpose of prevention.

Here, the detection of a dangerous situation is roughly divided into artificial detection according to a user's switch operation and automatic detection using a sensor. Hereinafter, some technical details of a conventional security monitoring method are disclosed.

First, as shown in FIG. 1, when an event occurs (emergency), the user manually generates a specific signal by operating a specific button (emergency button) (S12), or wires or It generates a warning sound (S13) to a desired designated place (pre-registered designated contact) through the wireless communication network.

Second, as shown in Figure 2, by using a variety of sensors, that is, a human body sensor, a magnetic sensor and a heat sensor to detect external intrusion or other possible dangerous situation (S21), the detection result external intrusion Or other possible dangerous situations (S22), this is a way to notify the relevant authorities through the wired / wireless communication network (S23).

Lastly, as shown in FIG. 3, as a security monitoring system using moving images, shooting locations are displayed on a monitor by using a single or multiple moving image recording apparatuses (S31), and a third party monitors an emergency situation. It is determined whether or not (S32, S33). As a result of the determination, when a specific event occurs, a third party directly responds to a dangerous situation or transmits moving image data for a few seconds until a button is activated using a specific button to a central control station or a police station through a wired or wireless communication network. This is the way to perform the subsequent processing (S34).

The first of the three conventional security monitoring methods of the three methods is a button or operation that allows the user to accurately transmit an event signal to an alarm sound or to a central control center when a specific event related to a dangerous situation occurs. When the switch can be operated, it acts as a very useful security monitoring device, but the efficiency as a security monitoring device may be greatly degraded in harsh environmental conditions, that is, an environment in which the user cannot move his or her body smoothly. .

Second, the security monitoring method using various sensors can have a great effect as a security monitoring device in a situation where the user does not live in the use environment, but when the user lives and activities in the sensor detection area at the same time, It is a problem that can frequently cause errors in the risk detection judgment.

Lastly, the third type of security monitoring system allows accurate recognition and follow-up of the risk situation because it is continuously monitored by third parties, but the installation cost of the device is excessive and the perception of risk situation is reduced due to the negligence of the guards. The biggest problem is that the possibility of personal violation of human rights can occur. Therefore, there is an urgent need for countermeasures and innovative technology introduction.

Accordingly, the present invention has been proposed to solve various problems occurring in the conventional security monitoring method as described above,

An object of the present invention is to provide a security monitoring system and method using the noise measurement to improve the use efficiency and stability by measuring the noise and analyzing it and applying the security monitoring.

Another object of the present invention is to provide a security monitoring system and method using real-time noise measurement applying an artificial intelligence discrimination algorithm for a specific noise source.

Still another object of the present invention is to designate a number input in advance when abnormal noise occurs through continuous monitoring of noise even when a user cannot move his or her body in a user environment for security monitoring purposes. The present invention provides a security monitoring system using a noise measurement and a method for transmitting a text or a specific signal using a wireless Ethernet network or a wired / wireless communication network.

Another object of the present invention is to use noise measurement to improve the efficiency and stability of use as a security system by alleviating the possibility of sensor detection error and personal human rights violation caused by user's artificial event signal generation or user's activity. The present invention provides a security surveillance system and method thereof.

"Security monitoring system using noise measurement" according to the present invention for achieving the above object,

A signal measuring unit measuring noise generated at a place to measure the noise;

A signal processing unit converting the noise measured by the signal measuring unit into a signal for analysis and storage;

A signal analyzer for analyzing the signal converted by the signal processor corresponding to a preset analysis item;

A signal determination unit for comparing a result of analysis of the signal analysis unit with a reference value stored in each item to determine whether a dangerous situation exists, and generating a control signal for event transmission when an event occurs as a result of the determination result;

A designated place storage unit for extracting and outputting a previously stored contact number in response to the event transmission control signal generated by the signal determination unit;

It includes an event transmitter for transmitting an emergency to the contact number output from the designated place storage unit.

In addition, "security monitoring system using noise measurement" according to the present invention,

An alarm sound generation unit for detecting an alarm when the contact number is output from the designated place storage unit and generating an alarm sound, and transmitting the generated alarm sound to the outside to notify an emergency situation;

When an emergency switch is operated when an emergency situation occurs, it is preferable to further include an emergency situation processing unit for generating an emergency signal according to the emergency situation and providing it to the designated place storage unit.

"Security monitoring method using noise measurement" according to the present invention for achieving the above object,

Confirming whether the emergency switch is operated;

Measuring noise generated at a place to measure noise when the emergency switch is not operated as a result of the checking;

Converting the measured noise into a signal for analysis and storage;

Analyzing the converted signal corresponding to a preset analysis item;

Determining an emergency situation by comparing the result of the analysis with a preset reference value to determine whether an emergency situation exists;

Extracting a contact number stored in advance, transmitting an emergency to the extracted contact number, and generating an alarm sound when the emergency switch is operated as a result of the determination or when the emergency switch is operated. do.

Hereinafter, described in detail with reference to the accompanying drawings a preferred embodiment of the present invention. If it is determined that the detailed description of the known function or configuration related to the present invention may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

Figure 4 is a block diagram showing the configuration of the security monitoring system using the noise measurement according to the present invention, the signal measuring unit 110, signal processing unit 120, signal analysis unit 130, signal determination unit 140, emergency It is composed of a situation processing unit 150, a designated place storage unit 160, an event transmitting unit 170 and an alarm sound generating unit 180. The present invention can be implemented in various forms, but is preferably implemented as an integrated board of the embedded form.

The signal measuring unit 110 incorporates a microphone capable of measuring noise, and measures noise generated at a place to measure the noise.

The signal processor 120 converts the measured noise into a signal for analysis and storage. To this end, the analog-to-digital converter 121 and the analog-to-digital converter 121 converts the analog type signal measured by the signal measuring unit 110 into a digital signal for use in noise analysis and data storage. And a storage medium 122 for storing the digital signal and outputting the storage data of a predetermined unit according to an external storage data request and transmitting the same to the requesting side. The storage medium 122 is preferably implemented as a flash memory, but it is also possible to use a digital storage medium having the same performance.

The signal analyzer 130 analyzes the signal converted by the signal processor 120 corresponding to a preset analysis item, and generates a control signal for transmitting an event when an event occurs as a result of the analysis. The signal analyzer 130 may include a sound level analyzer 132 that analyzes sound pressure levels of the converted signal (noise data), and a frequency analyzer 133 that performs frequency analysis for identifying a main frequency band of the noise data. And a loudness analyzer 134 for analyzing the hearing strength of the noise data, a sharpness analyzer 135 for analyzing the weight generation of high frequency components of the noise data, and a modulation frequency of the noise data. A roughness analyzer 136 for analyzing roughness according to the rough feeling, a tonality analyzer 137 for analyzing the clarity of the noise data, and determining whether an impact component is included in the noise data Kurtosis analyzer 138, and a controller 131 for controlling the operation of each analyzer and the interface to the input and output data, and the like.

The signal determination unit 140 compares the analysis result of the signal analysis unit 130 with reference values stored in advance for each item to determine whether a dangerous situation exists, and generates a control signal for transmitting an event when an event occurs. The signal determination unit 140 stores the determination reference database 141 storing the determination reference values for each item for determining whether a dangerous situation is present, the analysis result of the signal analysis unit 130 and the determination reference database 141. It is preferable to include a comparison unit 142 for comparing the reference value to determine whether a dangerous situation, and if the determination result is a dangerous situation and generates a control signal for transmitting an event signal.

The designated place storage unit 160 extracts and outputs a previously stored contact number in response to the event transmission control signal generated by the signal determination unit 140. The designated place storage unit 160 preferably uses a flash memory or a digital storage medium having equivalent performance.

The emergency situation processing unit 150 generates an emergency signal according to the emergency situation and provides it to the designated place storage unit 160 when the user artificially operates the emergency switch when an emergency occurs. Here, the emergency situation processing unit 150 may use an operation mechanism such as an emergency button instead of an emergency switch.

The event transmitter 170 transmits an emergency situation to the contact number output from the designated place storage unit 160. The event transmitter 170 preferably transmits an emergency situation to each designated contact number through a wireless Ethernet network or a wired / wireless communication network.

The alarm sound generator 180 detects this when the contact number is output from the designated place storage unit 160 to generate an alarm sound, and sends the generated alarm sound to the outside to notify the emergency situation. The alarm sound generating unit 180 preferably transmits an alarm sound using a buzzer or a bell.

In the security monitoring system using the noise measurement according to the present invention configured as described above, when the user initially drives the device, all functional configurations are organically operated in real time.

First, the signal measuring unit 110 continuously measures the noise generated in the use environment using the built-in microphone and transmits the noise to the signal processing unit 120. The signal measured here is an analog type signal.

The signal processor 120 converts the transmitted analog type measurement signal into a digital signal using the analog-to-digital converter 121 to utilize the analog-type measurement signal for noise analysis and data storage, and converts the converted digital signal into a storage medium 122. ). When the request signal for the storage data is generated from the outside, the storage data of a predetermined unit is output and transmitted to the requesting side. Here, the sampling rate required for converting an analog signal into a digital signal is fixed at a minimum rate applicable to a measurement item of generated noise, and the converted digital signal (noise data) is stored even when no voltage is applied. The flash memory is continuously stored through a flash memory or a digital storage medium having the same performance. In particular, the stored noise data is preferably stored for a total of four minutes, two minutes before and after the specific event occurs, and if there is no event such as an emergency situation, after storing four minutes of data, Overwriting is performed sequentially so that continuous noise data of 4 minutes before and after event occurs can be obtained. Here, the storage time of the noise data is only one embodiment, and it is possible to change the time according to the needs of the designer.

The noise data stored after being converted by the signal processor 120 is provided to the signal analyzer 130 in a predetermined unit. Here, the noise data may be provided to the signal analyzer 130 by extracting a predetermined amount of noise data at the request of the signal analyzer 130.

The signal analysis unit 130 uses seven built-in analysis algorithms that calculate each analysis value as a constant value through averaging the provided noise data for 10 seconds. Loudness, Sharpness, Roughness, Tonality, and Cortosis).

More specifically, as shown in FIG. 6, the controller 131 may output noise data provided from the signal processor 120 to the sound level analyzer 132, the frequency propagator 133, and the loudness analyzer 134. And the sharpness analyzer 135, roughness analyzer 136, tonality analyzer 137, and tortoise analyzer 138, respectively.

The sound level analyzer 132 extracts a sound pressure level of the transmitted noise data, accumulates it for 10 seconds, takes an average value of the accumulated value, and transmits a constant constant value to the controller 131 as an analysis value for the sound level.

The frequency analyzer 133 also extracts a frequency band from the noise data, accumulates the extracted frequency band for 10 seconds, takes an average value of the accumulated value, and transmits a constant constant value to the controller 131 as an analysis value for the frequency band. .

The loudness analyzer 134 extracts data for analysis of hearing intensity from noise data, accumulates it for 10 seconds, takes an average value of the accumulated value, and transmits a constant constant value to the controller 131 as an analysis value for loudness. Loudness is a measure of the sensory loudness of a sound. Even though the human hearing has the same physical strength, the intensity felt according to the frequency of the sound is different. The experimentally obtained value is the loudness value.

The sharpness analyzer 135 extracts the weight of the high frequency component from the noise data, accumulates the weight of the extracted high frequency component for 10 seconds, takes the average value of the accumulated value, and transmits a constant constant value to the controller 131 as a value for the sharpness. do.

In addition, the roughness analyzer 136 also extracts data for analyzing the rough feeling according to the modulation frequency from the noise data, accumulates the extracted data for 10 seconds, takes an average value of the cumulative value, and applies a constant constant value to the roughness. The analysis value is transmitted to the controller 131.

Similarly, the tonality analyzer 137 and the torsion analyzer 138 also detect intelligibility and impact components from the transmitted noise data, respectively, and transmit the tonality analysis value and the torsion analysis value to the controller 131 with a constant value. To pass.

When the controller 131 transmits the analyzed values for the seven items as is well known, the controller 131 stores them through an internal storage medium, that is, a temporary digital storage medium such as a flash memory or a storage medium having equivalent performance, The analysis value is transmitted to the signal determining unit 140 according to a period or a request.

The comparison unit 142 of the signal determination unit 140 compares the analysis result of the signal analysis unit 130 with reference values for each item previously stored in the determination reference database 141 to determine whether the situation is dangerous or not. do. For example, when the sound level value obtained by the signal analyzer 130 is greater than the pre-stored sound pressure level reference value, when the frequency analysis value is greater than the pre-stored frequency level reference value, or when the loudness analysis value is greater than the pre-stored loudness reference value. If the sharpness analysis value is greater than the pre-stored sharpness threshold, if the roughness analysis value is greater than the pre-stored roughness threshold, if the tonality analysis value is greater than the pre-stored tonality threshold, the keratosity analysis value is pre-stored If it is larger than the threshold, it will be judged as a dangerous situation.

Here, the definition for the risk situation determination means the purpose of using the system according to the present invention, that is, a change in the state of use environment related to security surveillance. While the user is driving the system, in a general situation, the continuous deviation of the result value of the generated noise obtained from the signal analyzer 130 does not greatly occur, but external intrusion or abnormal change in the user environment, ie fire, gas explosion, etc. Abnormal noise occurs when the user's emergency or physical injury occurs. Such abnormal noise may include a scream sound, an explosion sound, a high performance due to a physical injury, and when an abnormal noise occurs, a deviation of an analysis item analyzed by the signal analyzer 130 occurs. This deviation is to determine the normal state and abnormal state through the determination criteria database 141 previously input to the signal determination unit 140. The criterion database 141 is a value obtained through a test for the use environment of the system, and when a deviation of at least four or more analysis items among the seven analysis items occurs, it is determined as an abnormal state (emergency situation). Here, the range of the deviation is set differently according to the user environment of the system devised by the present invention, which sets the range of the deviation through sufficient testing. When it is determined in the steady state in the signal determination unit 140, the average value of the continuous analysis result for 10 seconds after the determination is again determined, thereby performing real-time continuous analysis and determination. In addition, when it is determined that the signal determination unit 140 is in an abnormal state, the signal determination unit 140 generates an event signal and transmits it to the designated place storage unit 160.

The designated place storage unit 160 stores the phone number of the location where the user is to be notified of the emergency contact in advance, such as a guard room, a police station, or an external person to call an emergency situation through a flash memory or a digital storage medium having equivalent performance. When the event signal is transmitted according to the determination of the abnormal state in the signal determination unit 140, the telephone number of three elements input in advance is extracted and transmitted to the event transmitter 170.

The event transmitter 170 notifies an emergency situation to each designated element through a wireless Ethernet network or a wired / wireless communication network by a signal of the designated place storage unit 160.

On the other hand, the emergency situation processing unit 150 may be additionally configured to generate an event signal without using the algorithm proposed in the present invention for the emergency situation of the user. The emergency situation processing unit 150 is composed of a control mechanism such as a button or a switch, and when a user operates such a button or a switch when an emergency occurs, the designated place is forcibly stored regardless of the determination of the signal decision unit 140. The event signal is transmitted to the unit 160. As is well known, the designated place storage unit 160 notifies the emergency situation to each designated element through the event transmitting unit 170 through the same method as that of determining the abnormal state in the signal determination unit 140.

And the alarm sound generating unit 180 detects this when the contact number is output from the designated place storage unit 160 generates an alarm sound, and sends the generated alarm sound to the outside to inform the emergency situation. At this time, it is preferable to send an alarm sound using a buzzer or a bell.

8 is a flow chart showing a "security monitoring method using noise measurement" according to the present invention, and confirming whether the user artificially operates the emergency switch (S101); When the emergency switch is not operated as a result of the checking, measuring the noise generated at the place where the noise is to be measured (S103); Converting the measured noise into a signal for analysis and storage (S105); Analyzing the converted signal corresponding to a preset analysis item (S109); Determining whether there is an emergency by comparing a result of the analysis with a preset reference value to determine whether an emergency is required (S111 ˜ S115); In the case of an emergency as a result of the determination or when the user artificially operates an emergency switch as a result of the checking, extracting a pre-stored contact number, transmitting an emergency to the contact number extracted above, and generating an alarm sound (S117). , S119).

In the security monitoring method using the noise measurement according to the present invention as described above, in step S101 it is confirmed whether the emergency switch (or button) is operated by the user. If the emergency switch is operated as a result of the check, go to step S117 to generate an event signal, the location where the user will be notified of the emergency contact in advance in the designated place storage unit 160 by the event signal generated in this way, namely the guard room In addition, the phone number of an outsider to call a police station or other emergency situation is stored through a flash memory or a digital storage medium having equivalent performance, and the phone number of three elements input in advance is extracted to the event transmitter 170. Will be sent. The event transmitter 170 notifies an emergency situation to each designated element through a wireless Ethernet network or a wired / wireless communication network by a signal of the designated place storage unit 160. In addition, when the event signal occurs in step S119, the alarm sound generating unit 180 detects this to generate an alarm sound, and sends the generated alarm sound to the outside to inform the emergency situation. At this time, it is preferable to send an alarm sound using a buzzer or a bell.

In addition, if the emergency switch is not operated as a result of the check, go to step S103 to continuously measure the noise generated in the use environment using the microphone built in the signal measuring unit 110 to the signal processing unit 120 To pass.

In step S105, the signal processing unit 120 converts the transmitted analog type measurement signal into a digital signal using the analog-to-digital converter 121 in order to utilize the noise analysis and data storage, and converts the converted digital signal in step S107. The signal is stored in the storage medium 122. Thereafter, when a request signal for the stored data is generated from the outside, the stored data of a predetermined unit is output and transmitted to the requesting side.

Next, in step S109 the signal analyzer 130 analyzes the noise data of a predetermined unit provided by the signal processor 120 by an analysis algorithm.

Here, as is well known, the signal analysis is performed by averaging noise data for 10 seconds to calculate each analysis value as a constant value, and analyzing 7 kinds of analysis items (for example, sound level, frequency, loudness, sharpness and roughness). , Tonality, and torsion). Signal analysis for the seven analysis items has been described in detail in the above description, and thus will be omitted to avoid duplicate description.

Subsequently, in steps S111 to S115, the signal determination unit 140 compares the analysis result of the signal analysis unit 130 with reference values for each item previously stored in the determination reference database 141 through the comparison unit 142 to determine whether or not the size is small or small. The risk situation is determined. As used herein, the definition of the risk situation determination means a change of the user use environment state related to the purpose of using the system, that is, the security surveillance. While the user is driving the system, in a general situation, the continuous deviation of the result value of the generated noise obtained from the signal analyzer 130 does not greatly occur, but external intrusion or abnormal change in the user environment, ie fire, gas explosion, etc. Abnormal noise occurs when the user's emergency or physical injury occurs. Such abnormal noises include screams, explosion sounds, and high levels of physical injury. When abnormal noises occur, deviations in the analysis items analyzed by the signal analyzer 130 occur. This deviation is to determine the normal state and abnormal state through the determination criteria database 141 previously input to the signal determination unit 140. The criterion database 141 is a value obtained through a test for the use environment of the system, and when a deviation of at least four or more analysis items among the seven analysis items occurs, it is determined as an abnormal state (emergency situation). Here, the range of the deviation is set differently according to the user environment of the system devised by the present invention, which sets the range of the deviation through sufficient testing.

If it is determined that an emergency situation is determined as the result of the signal determination, an event signal is generated in step S117, and the location where the user is to be notified of the emergency contact in advance in the designated place storage unit 160 by the event signal generated in this way, that is, the security office or the police station. For example, a phone number of an external person, such as an external emergency, is to be stored through a flash memory or a digital storage medium having an equivalent performance, and the phone number of three elements input in advance is extracted and transmitted to the event transmitter 170. do. The event transmitter 170 notifies an emergency situation to each designated element through a wireless Ethernet network or a wired / wireless communication network by a signal of the designated place storage unit 160.

Finally, when the event signal occurs in step S119, the alarm sound generating unit 180 detects this to generate an alarm sound, and sends the generated alarm sound to the outside to inform the emergency situation. At this time, it is preferable to send an alarm sound using a buzzer or a bell.

The present invention is not limited to the above-described specific preferred embodiments, and various modifications can be made by any person having ordinary skill in the art without departing from the gist of the present invention claimed in the claims. Of course, such changes will fall within the scope of the claims.

According to the present invention as described above, since the continuous noise signal is obtained through the noise detection using a microphone to analyze and compare it continuously to determine the normal state and abnormal state security monitoring even if the user lives in the use environment There is an advantage to improve the effect.

In addition, even if the user is active at the same time in the operating environment of the system, it is possible to perform the role of security monitoring, and it is excellent in the detection ability of emergencies due to the diversification of analysis items for occurrence noise and the setting of judgment criteria. There is an advantage that it is possible.

In addition, since the user does not have to control the system, it provides convenience to use the system, and continuous analysis on the generated noise is performed, so noise data is stored for 4 minutes before and after an emergency situation. It is also easy to grasp the situation.

In addition, since the system is configured in the form of an integrated board of the embedded form, there is an advantage of lowering the product cost according to the development environment.

In addition, as part of the defense industry, it can be applied to perform the role of alert guards, so it is possible to increase the efficiency of guard duty even if the guards are not placed on the job site. It is possible to determine whether there is an emergency through the moans and screams that can appear, so it can be used as an equipment for the silver industry, and it can be installed in a sales office that is open for 24 hours, such as a convenience store. When it occurs, the emergency situation is immediately notified to each designated element, so it is possible to find a faster response.

In addition, it can be used for monitoring the patient's condition without invading the patient's individual human rights in the mental hospital, and can increase the efficiency of the patient's personal protection, while the children's playroom or the institution that cares for the infants, such as preschools, When performing activities or other tasks, it is possible to determine when babies wake up through a noise detection algorithm and cope with them.

Claims (18)

In a system for performing security surveillance using noise measurement, A signal measuring unit measuring noise generated at a place to measure the noise; A signal processing unit converting the noise measured by the signal measuring unit into a signal for analysis and storage; Analyze the signal converted by the signal processing unit corresponding to a preset analysis item, but the sound level using the built-in analysis algorithm that calculates each analysis value to a constant value through averaging the input noise data for 10 seconds A signal analyzer for analyzing frequency, loudness, sharpness, roughness, tonality, and tortoise; A signal determination unit for comparing a result of analysis of the signal analysis unit with a reference value stored in each item to determine whether a dangerous situation exists, and generating a control signal for event transmission when an event occurs as a result of the determination result; A designated place storage unit for extracting and outputting a previously stored contact number in response to the event transmission control signal generated by the signal determination unit; Security monitoring system using the noise measurement, characterized in that it comprises an event transmission unit for transmitting an emergency situation to the contact number output from the designated place storage unit. According to claim 1, The security monitoring system using the noise measurement, When the contact number is output from the designated place storage unit detects this to generate an alarm sound, by using the noise measurement, characterized in that it further comprises an alarm sound generating unit for transmitting the generated alarm sound to inform the emergency situation Security Surveillance System. According to claim 1, The security monitoring system using the noise measurement, The emergency monitoring system using the noise measurement, characterized in that it further comprises an emergency situation processing unit for generating an emergency signal according to the emergency situation when the emergency situation occurs in the designated place storage unit. The method of claim 1, wherein the signal processing unit, An analog / digital converter for converting an analog type signal measured by the signal measuring unit into a digital signal for use in noise analysis and data storage; And a storage medium for storing the digital signal converted by the analog / digital converter and outputting the stored data in a first-in, first-out form or outputting a predetermined unit of storage data according to an external storage data request, and transmitting the stored data to the requesting side. The analog / digital converter is a security monitoring system using noise measurement, characterized in that the sampling rate per second necessary to convert the analog signal to a digital signal is fixed at a minimum rate applicable to the measurement of the noise generated. 5. The security monitoring system using noise measurement according to claim 4, wherein the storage medium is a flash memory or a digital storage medium. The method of claim 1, wherein the signal analysis unit, A sound level analyzer for analyzing a sound pressure level for the converted signal (noise data); A frequency analyzer for performing frequency analysis for identifying a main frequency band of the noise data; A loudness analyzer for analyzing the hearing intensity of the noise data; A sharpness analyzer for analyzing a weight generation of high frequency components of the noise data; A roughness analyzer for analyzing a rough feeling according to a modulation frequency of the noise data; A tonality analyzer for analyzing the intelligibility of the noise data; Kurtosis analyzer for determining the impact component of the noise data; Security monitoring system using a noise measurement, characterized in that it comprises a controller for controlling the operation of each analyzer and the interface for input and output data. The method of claim 1 or 6, wherein the signal analysis unit, Analyzes sound level, frequency, loudness, sharpness, roughness, tonality, and torsion using the built-in analysis algorithm that calculates each analysis value as a constant value through averaging the incoming noise data for 10 seconds Security monitoring system using the noise measurement, characterized in that to carry out. The system of claim 6, wherein the controller includes a storage medium that temporarily stores analysis data, which is data output from each of the analyzers. The method of claim 1, wherein the signal determining unit, A judgment criteria database in which judgment criteria for each item for judging a dangerous situation are stored; And comparing the analysis result of the signal analysis unit with a reference value stored in the determination criteria database to determine whether a dangerous situation is determined, and when the determination result is a dangerous situation, a comparison unit generating a control signal for transmitting an event signal. Security monitoring system using noise measurement. 10. The method of claim 1 or 9, wherein the signal determination unit selectively combines at least two or more analysis results to sound level, frequency, loudness, sharpness, roughness, tonality, and tortoise which are analysis results of the signal analysis unit. Security surveillance system using the noise measurement, characterized in that as a result to determine whether or not a dangerous situation. The system of claim 1, wherein the event transmitter transmits an emergency situation to each designated contact number through a wireless Ethernet network or a wired / wireless communication network. In the method of performing the security surveillance using a security surveillance system that performs the security surveillance by measuring the noise, Confirming whether the emergency switch is operated; Measuring noise generated at a place to measure noise when the emergency switch is not operated as a result of the checking; Converting the measured noise into a signal for analysis and storage; Analyzing the converted signal corresponding to a preset analysis item, and calculating and analyzing each analysis value as a constant value through averaging for 10 seconds; Determining an emergency situation by comparing the result of the analysis with a preset reference value to determine whether an emergency situation exists; And in the case of an emergency as a result of the determination, extracting a contact number stored in advance and transmitting an emergency to the extracted contact number. The method of claim 12, further comprising: extracting a contact number stored in advance when the emergency switch is operated, and transmitting an emergency situation to the extracted contact number. The method of claim 12 or 13, wherein the method further comprises generating and generating an alarm sound when transmitting the emergency situation. delete The method of claim 12, wherein the preset analysis items are sound level, frequency, loudness, sharpness, roughness, tonality, and tortoise. The method of claim 12, wherein the determining of the emergency situation comprises: previously stored in the sound level, frequency, loudness, sharpness, roughness, tonality, keratosity analysis value and the criterion database analyzed from the measured noise data. Comparing the reference value for each item to determine whether or not the case, and if at least four or more analysis values of each item is more than the corresponding reference value, the security monitoring method using the noise measurement, characterized in that it is determined as a dangerous situation. The method of claim 12, wherein the emergency transmission to the extracted contact number is notified of the emergency situation to each designated contact number through a wireless Ethernet network or a wired / wireless communication network.

Images