KR20220157915A - Fire detection and exit course guide system - Google Patents

Abstract

A fire detection and evacuation route guidance system is disclosed. The fire detection and evacuation route guidance system, according to an embodiment of the present invention, comprises: a fire detection unit that detects a fire-related factor comprising at least one of flame, heat, smoke, and gas, and collects sensing data for each fire-related factor; a fire determination unit that determines that a fire has occurred when the sensing data satisfies a predetermined condition; an evacuation route calculation unit that determines a fire location based on the determination on the fire by the fire determination unit and calculates an optimal evacuation route; and a fire occurrence information providing unit that displays the optimal evacuation route calculated by the evacuation route calculation unit on a preset display panel and outputs a fire warning sound.

Description

Fire detection and evacuation route guidance system {FIRE DETECTION AND EXIT COURSE GUIDE SYSTEM}

The present invention relates to a fire detection and evacuation route guidance system, and more particularly, to quickly determine whether a fire has occurred using a heat detector, a flame detector, a gas detector, and a smoke detector, and can quickly evacuate from a fire location. It relates to a fire detection and evacuation route guidance system that guides the optimal route.

Recently, in order to efficiently utilize limited land, large-scale facilities where many people can be active are gradually increasing. When a disaster situation occurs in an indoor environment having such a large-scale and complex structure, many human casualties may occur. In order to prevent this, it is necessary to provide an accurate evacuation route in an intuitive way to the occupants who have lost their judgment due to an emergency situation.

Most of the emergency evacuation route guidance devices that are currently installed and operated according to the Fire Protection Act are emergency evacuation lights made using lamps with point luminous characteristics, and in parallel with them, various evacuation route guidance signs without luminous characteristics are used. have. However, these conventional technologies operate independently of other systems in a building, and have a problem in that they do not properly perform an evacuation route guidance function in the event of a power outage due to a fire.

In order to solve the above problems, Korean Registered Patent Publication No. 10-1581766 discloses an emergency evacuation route guidance device within a building that outputs a path leading to an emergency evacuation route as a magnetic field capable of sensibly inducing an emergency in a building. Korea Patent Publication No. 10-1783826 discloses an evacuation guide light installed on the floor of a building and receiving a fire signal from a fire detector or fire receiver in an emergency such as a fire to induce evacuation by lighting or blinking, and Its control system is disclosed.

However, as described above, if the user moves along the nearby evacuation guide light without knowing the location of the fire, rather approaches the location of the fire or enters the exit that is unusable due to the fire, which can lead to a rather larger accident There is a problem.

Therefore, it is necessary to study a fire detection and evacuation route guidance system that quickly detects whether a fire has occurred, accurately determines the fire location and available exits, and provides an optimal route for safe evacuation from the location where the user is currently located. do.

An object of the present invention is to provide a fire detection and evacuation route guidance system that quickly determines whether a fire has occurred and provides an immediate fire alarm by including a sensor for detecting heat, flame, gas, and smoke.

In addition, an object of the present invention is to provide a fire detection and evacuation route guidance system capable of inducing rapid evacuation in the event of a fire and minimizing casualties by calculating an optimized evacuation route based on the location of the fire.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems to be solved by the present invention that are not mentioned here are to those of ordinary skill in the art to which the present invention belongs from the description below. will be clearly understood.

A fire detection and evacuation route guidance system according to an embodiment of the present invention detects a fire-related factor including at least one of flame, heat, smoke, and gas, and collects sensing data for each fire-related factor; a fire detection unit; If the sensing data satisfies the preset conditions, a fire judgment unit that determines that a fire has occurred, and an evacuation route calculation unit that determines the location of a fire based on whether or not a fire is determined by the fire judgment unit and calculates an optimal evacuation route and a fire occurrence information providing unit that displays the optimal evacuation route calculated by the evacuation route calculation unit on a preset display panel and outputs a fire warning voice, wherein the sensing data includes measurement values and location data corresponding to fire-related factors. The fire determination unit includes a data selection unit for calculating the normal range and valid data range for the sensing data and a data determination unit for determining whether a fire has occurred based on the sensing data collected N times during a predetermined time period. do.

In addition, the data selection unit collects the measurement values corresponding to the fire-related factors in the fire detection unit for a predetermined time, and uses the upper limit value, the lower limit value, and the average value of the collected measurement values to determine the limit value (L _ud ) is calculated, and the difference between the average value minus the limit value and the average value plus the limit value is calculated as the normal range, and the data excluding the calculated normal range is judged as noise data, but the upper and lower limit values are the lower limit values. It is derived within the prediction range defined as the range from to the upper limit boundary value, the lower boundary value is the average value of the preset initial value minus α times the average deviation, and the upper boundary value is the average value of the preset initial value It is a value obtained by adding α times the average deviation to , and the data determination unit measures the measured value (X _i ) of each round among the sensing data collected N times for a preset time, and the following [Equation 1] to [Equation 3] It is characterized in that it is determined that a fire has occurred only when the calculated average value (M), standard deviation (S _d ), and average deviation (M _d ) all satisfy each standard range.

[Equation 1]

(Where Av is the average value, U _v is the upper limit value, and L _v is the lower limit value)

[Equation 2]

[Equation 3]

[Equation 4]

(Where M is the average value, S _d is the standard deviation, M _d is the average deviation, N is the number of sensor measurements, and x _i is the sensor measurement value of each round among the measurement values collected for N times)

In addition, the fire detection unit stops measuring sensing data in response to fire-related factors, and further includes a simulation control unit for inputting a compulsory command signal to the fire determination unit to determine that a fire has occurred, When a compulsory command signal is input to the fire determination unit through, an optimal evacuation route is displayed through the fire occurrence information providing unit, and a fire warning voice is output.

In addition, the evacuation route calculation unit determines the location of the fire based on the sensing data detected by the fire detection unit, analyzes the measurement time of the sensing data, first extracts the sensing data that satisfies the standard range, and first It is characterized in that the location of the fire is determined based on the location data included in the sensing data extracted from the fire location, and the optimum evacuation route is calculated using the remaining openings except for the openings located within a preset distance from the fire location.

In addition, the fire occurrence information providing unit displays the optimal evacuation route calculated by the evacuation route calculation unit, but displays at least one of the optimal evacuation route, fire location, and current user location on the previously stored building interior drawing image. characterized by

The fire detection and evacuation route guidance system of the present invention includes a sensor for detecting heat, flame, gas, and smoke, so that it can quickly determine whether a fire has occurred and provide an immediate fire alarm.

In addition, by calculating an optimized evacuation route based on the location of the fire, it has the effect of inducing rapid evacuation in the event of a fire and minimizing human damage.

1 is a block diagram of a fire detection and evacuation route guidance system according to an embodiment of the present invention.
2 is a view for explaining a fire determination unit of a fire detection and evacuation route guidance system according to an embodiment of the present invention.
3 is a graph showing temperature data sensed through a heat sensor of a fire detection and evacuation route guidance system according to an embodiment of the present invention.
4 is a graph showing temperature data including noise values generated at regular time intervals among temperature data sensed through a heat sensor of a fire detection and evacuation route guidance system according to an embodiment of the present invention.
5 is a graph showing temperature data including continuously generated noise values among temperature data sensed through a heat sensor of a fire detection and evacuation route guidance system according to an embodiment of the present invention.
6 is a diagram for explaining an evacuation route calculation unit and a fire occurrence information providing unit of a fire detection and evacuation route guidance system according to an embodiment of the present invention.
7 is a diagram for explaining a fire detection and evacuation route guidance system according to an embodiment of the present invention.
8 is an operation flowchart of a fire detection and evacuation route guidance system according to an embodiment of the present invention.

The specific details, including the problems to be solved, the means for solving the problems, and the effects of the invention for the present invention as described above are included in the embodiments and drawings to be described below. Advantages and features of the present invention, and methods for achieving them, will become clear with reference to the detailed description of the following embodiments in conjunction with the accompanying drawings.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.

1 is a block diagram of a fire detection and evacuation route guidance system according to an embodiment of the present invention, and FIG. 2 is a diagram for explaining a fire determination unit of a fire detection and evacuation route guidance system according to an embodiment of the present invention. 3 is a graph showing temperature data sensed through a heat sensor of a fire detection and evacuation route guidance system according to an embodiment of the present invention, and FIG. 4 is a fire detection and It is a graph showing temperature data including noise values generated at regular time intervals among the temperature data sensed through the heat detector of the evacuation route guidance system, and FIG. 5 is a fire detection and evacuation route according to an embodiment of the present invention. It is a graph showing temperature data including noise values generated continuously among temperature data sensed through a heat detector of a guidance system. FIG. 6 is an evacuation of a fire detection and evacuation route guidance system according to an embodiment of the present invention. It is a view for explaining a path calculation unit and a fire occurrence information providing unit, FIG. 7 is a view for explaining a fire detection and evacuation route guidance system according to an embodiment of the present invention, and FIG. 8 is a view for explaining an embodiment of the present invention. It is an operation flow chart of the fire detection and evacuation route guidance system according to

<Example 1>

Referring to FIG. 1, the fire detection and evacuation route guidance system 100 according to an embodiment of the present invention detects a fire-related factor including at least one of flame, heat, smoke, and gas, and the fire-related factor A fire detection unit 110 for collecting star sensing data, a fire determination unit 120 for determining that a fire has occurred when the sensing data satisfies a predetermined condition, and a fire determined by the fire determination unit 120 An evacuation route calculation unit 130 that determines the location of a fire and calculates an optimal evacuation route based on whether or not there is a fire, and displays the optimal evacuation route calculated by the evacuation route calculation unit 130 on a preset display panel, It may include a fire occurrence information providing unit 140 that outputs a warning voice.

In this case, the sensing data may include measurement values and location data corresponding to the fire-related factors.

For example, the fire detection unit 110 includes a plurality of sensor modules that measure the fire-related factors, and the sensor modules may be spaced apart and installed at predetermined distances.

Accordingly, the fire detection unit 110 may generate sensing data by collecting measurement values corresponding to the fire-related factors from the sensor module and location data where the sensor module is installed.

On the other hand, referring to FIG. 2, the fire determination unit 120 is based on the data selection unit 121 for calculating the normal range and valid data range for the sensing data and the sensing data collected N times for a predetermined time. It may include a data determination unit 122 for determining whether a fire has occurred.

The data selection unit 121 collects measurement values corresponding to the fire-related factors from the fire detection unit 110 for a predetermined time, and uses the upper limit value, the lower limit value, and the average value of the collected measurement values to do the following [mathematics The limiting value (L _ud ) can be calculated according to Equation 1].

In addition, a difference value obtained by subtracting the limit value from the average value or a value obtained by adding the limit value from the average value is calculated as a normal range, and data excluding the calculated normal range is determined as noise data, and the upper limit value and the lower limit value are the lower limit It can be derived within the predicted range defined as the range from the boundary value to the upper boundary value.

In this case, the lower boundary value is a value obtained by subtracting α times the mean deviation from the mean value of the preset initial values, and the upper boundary value is a value obtained by adding α times the mean deviation to the mean value of the preset initial values.

[Equation 1]

(Where Av is the average value, U _v is the upper limit value, and L _v is the lower limit value)

That is, the fire determination unit 120 may exclude data corresponding to noise from the sensing data measured by the fire detection unit 110 and extract only valid values to determine whether a fire has occurred.

In more detail, referring to FIGS. 3 to 5 , for example, in order to remove noise and extract valid data from the measured value measured from the heat sensor, the data selection unit 121 is configured to Calculate the normal range and valid data range for the temperature measurement value, but in [Equation 1], the upper limit value (U _v ) is 1360, the average value (Av) is 1200, and the lower limit value (L _v ) is 1020 In this case, since the difference between the upper limit value and the average value is 1360-1200=160 and the difference between the average value and the lower limit value is 1200-1020=1080, the larger element 1080 can be calculated as the limiting value (L _ud ).

When the limit value is calculated as described above, a normal range may be determined. A range from a value obtained by subtracting the limit value from the average value to a value obtained by adding the limit value to the average value may be determined as the normal range.

Therefore, in principle, data that is not included within the calculated normal range is determined as noise data.

However, in order to further subdivide the noise data, the following criteria may be additionally applied. For example, in the noise data, the measurement value measured by the sensor is out of the normal range, the data out of the normal range does not occur continuously more than a predetermined number of times, and the previous value and the previous data value that are the previous data values out of the normal range The measured value determined as a value not included within the set error range (at this time, the error range can be set between -5% ~ +5% and -20% ~ +20% depending on the type and sensitivity of the sensor) is used as noise data By making a final decision, it is possible to increase accuracy in selecting noise data.

In addition, the predetermined number of times is set to 2 to 5 times, and it is possible to determine whether the data outside the normal range is continuous or discontinuous depending on whether the number of times is satisfied.

Here, the process of calculating the normal range and classifying the noise data using the entire measured values of the preset sensors will be described in more detail with reference to FIG. 3 .

As shown in FIG. 3 , the temperature data measurement value sensed through the temperature sensor may be expressed as a graph.

Here, the data selector 121 recognizes only values measured within the normal range 340 as valid values. It can be calculated using the average value 330 and the average deviation of them.

At this time, since meaningless data may be included among the initial values, only initial values within the prediction range among all input initial values are used to derive the normal range 340, and the prediction range 350 is obtained in the following way. can be derived.

In order to calculate the prediction range 350, a value obtained by adding the α multiple of the average deviation to the average value 330 of all initial values during the preset interval is set as the upper boundary value 310 of the prediction range 350, and the preset interval A value obtained by subtracting the α multiple of the average deviation from the average value 330 of all initial values during the period is determined as the lower boundary value 320 of the prediction range 350, and the value between the upper and lower limits is calculated as the prediction range 350. can

At this time, the α value of the α multiple may be set from a minimum of 1.5 to a maximum of 20 according to the sensor.

As described above, by calculating the predicted range 350 using the average value 330, the upper limit value 310 and the lower limit value 320, more reliable data selection can be performed to determine the normal range 340. can

Hereinafter, a process for calculating the normal range 340 using the predicted range 350 will be described.

First, the largest measurement value within the prediction range 350 is extracted as the upper limit value 305 and the smallest measurement value is extracted as the lower limit value 306, and the average value 330, the upper limit value 305 and A limit value can be calculated using the lower limit value 306 .

When the limit value is calculated through [Equation 1], the measured value obtained by subtracting the limit value from the average value 330 or the measured value obtained by adding the limit value to the average value 330 is set as the normal range 340, and the normal range ( 340) may be determined as noise data.

At this time, the upper limit value 305 which is the largest value and the lower limit value 306 which is the smallest value within the previously determined prediction range are derived, and the limit value can be calculated by applying them to [Equation 1].

That is, the first point data 301, the second point data 302, the third point data 303, and the fourth point data 304, which are data out of the prediction range 350, are excluded from the calculation of the upper limit value and the lower limit value. By doing so, it is possible to prevent meaningless data from being used for calculating the normal range in advance.

Through the above process, the normal range 340 is the difference between the average value 330 and the limit value, and the sum of the average value 330 and the limit value calculated, and is a measured value that is not included in the normal range 340. The first point data 301, the second point data 302, the third point data 303, and the fourth point data 304 may be determined as noise data.

Therefore, the data determination unit 122 can determine the possibility of occurrence of a special event such as a sensor failure using the generation pattern of the noise data selected by the data selection unit 121, an embodiment of which is detailed below. explain clearly.

For example, if the noise data is within the preset error range compared to the previous value and a plurality of sensing cycles of the same value are measured at preset time intervals, it is determined that this is highly likely to occur due to a sensor failure. can do.

In other words, if a number of measured values and measurement intervals determined as noise data outside the normal range are included within the error range and measured at regular intervals, the presence of contaminants in the sensor measurement area, electrical signal transmission and reception problems, etc. Since it is judged that the measured value is highly likely to be measured, it can be recognized as sensor failure data and used as a basis for considering repair or replacement of the sensor.

For example, when a normal range is set as shown in FIG. 3 and includes noise data outside the normal range, but meets the sensor failure data condition, the noise data can be recognized as data generated due to a sensor failure. A specific embodiment will be described in more detail with reference to FIG. 4 .

Referring to FIG. 4, in the process of sensing temperature data through the temperature sensor, noise data out of the normal range is generated multiple times, and compared to the previous noise data, within an error range of -10% to +10% It can be seen that this occurs continuously.

In this way, when noise data generated within the error range is repeated at regular intervals, it can be predicted that a sensor failure has occurred through the noise data.

Here, that the noise data is repeated at a constant period may mean that a period in which the noise data appears is within an error range of -10% to +10%.

More specifically, the fifth point data 401, the sixth point data 402, and the seventh point data 403 out of the normal range are measured, and the fifth point data 401 is at 600 seconds. measured, and if the sixth point data 402 is measured at 810 seconds, the time interval between the fifth point 401 and the sixth point 402 is 210 seconds (t ₁ ). In addition, since the seventh point data 403 was measured at 1000 seconds, the time interval at which the sixth point data 402 and the seventh point data 403 were measured was 190 seconds (t ₂ ), so the fifth point data ( 401), the time interval between the sixth point data 402 and the sixth point data 402 to the seventh point data 403 is 20 seconds, and does not exceed 21 seconds, which is the 10% error range. did not

Therefore, since it is determined that a plurality of noise data is out of the normal range and the generation period is within a certain range, it can be predicted that a defect has occurred in the sensor.

Therefore, when a sensor failure is predicted through the data sensed by the heat detector of the fire detection unit 110, an alarm may be provided to a pre-specified manager terminal to induce an inspection of whether the sensor is defective.

On the other hand, when a plurality of data measured by the fire detection unit 110 is out of the normal range for a certain period of time, but is continuously measured within a similar value range, it can be determined that a malfunction has occurred in a peripheral device rather than a sensor failure. have. This will be described in more detail with reference to FIG. 5 .

Referring to FIG. 5, a large number of noise data exceeding the normal range is detected in the interval between 600 and 800 seconds, but the majority of noise data is within a certain error range (ex. 10% from the first noise data value in the interval). within the range). In this case, it may be determined that the sensor is not defective, but a malfunction of a peripheral device that controls the environment measured by the sensor. For example, when the temperature sensor of the heat detector is set to sense the temperature while repeatedly moving along a predetermined track, a malfunction of a peripheral device such as a driving device may cause an error in data received by the sensor.

In this case, the data selection unit 121 may predict an error of the peripheral device of the thermal sensor and send an alarm for checking the peripheral device to the manager terminal.

On the other hand, the data determination unit 122 calculates the measured value (X _i ) of each time among the sensing data collected N times during a predetermined time period, the average value calculated by [Equation 1] to [Equation 3] below ( M), standard deviation (S _d ), and average deviation (M _d ) can be judged to have occurred only when all of them satisfy their respective standard ranges.

[Equation 2]

[Equation 3]

[Equation 4]

(Where M is the average value, S _d is the standard deviation, M _d is the average deviation, N is the number of sensor measurements, and x _i is the sensor measurement value of each round among the measurement values collected for N times)

For example, the fire detection unit 110 includes a heat detector, a smoke detector, and a gas detector in response to the fire detection factor, and the heat detector and the smoke detector have values known in the technical level of type approval and product inspection. The reference range is determined based on , and in the case of the gas detector, the reference range is determined based on values known in life safety standards, and the reference range may be modified by a manager.

Meanwhile, in the fire detection and evacuation route guidance system 100, the fire detection unit 110 stops measuring the sensing data in response to the fire-related factor, and the fire determination unit 120 stops the measurement of the fire. It may further include a simulation test control unit (not shown) for inputting a compulsory command signal to determine that.

In addition, when the compulsory command signal is input to the fire determination unit 120 through the simulation test control unit (not shown), the optimal evacuation route is displayed through the fire occurrence information providing unit 140, and the fire A warning sound may be output.

Accordingly, the fire detection and evacuation route guidance system 100 includes the simulation test control unit (not shown), so that simulation training can be performed more conveniently.

Meanwhile, the evacuation route calculation unit 130 determines the location of the fire based on the sensing data detected by the fire detection unit 110, and first satisfies the reference range by analyzing the measurement time of the sensing data. It is possible to extract the sensing data to be measured first and determine the fire location based on the location data included in the extracted sensing data.

In addition, the optimum evacuation route may be calculated using the remaining openings excluding the openings located within a preset distance from the fire location.

For example, when the difference in reception time between the sensing data is less than 1 second and the position between the detectors corresponding to the sensing data is greater than or equal to a predetermined distance, it is determined that a fire has occurred at the position where each detector is disposed, and the optimum Evacuation routes can be calculated.

Referring to FIG. 6, the fire occurrence information providing unit 140 displays the fire occurrence location and the optimal evacuation route calculated by the evacuation route calculation unit 130, and the optimal evacuation route includes available openings and unavailable openings. can be displayed separately.

That is, it is determined that the opening adjacent to the fire occurrence location is dangerous, and the evacuee is induced to move to a safer route, and human casualties can be minimized.

In addition, the fire occurrence information providing unit 140 displays the optimal evacuation route calculated by the evacuation route calculation unit 130, and displays the optimal evacuation route, the fire location and the current location on a previously stored building interior drawing image. At least one of the user locations may be overlapped and displayed.

Therefore, in the event of a fire, the evacuee can safely move along the optimal evacuation route displayed on the display panel, knowing the current location drawing of the building.

<Example 2>

For example, referring to FIG. 7 , the fire occurrence information providing unit 140 may include a central display device 141 and a composite display device 142 .

The central display device 141 may display the previously stored designated evacuation route and the location of the opening, and display the fire occurrence location and the optimal evacuation route calculated by the evacuation route calculation unit 130 in the event of a fire. .

The composite display device 142 displays the current user location and the location of the opening closest to the current user location, and displays the fire occurrence location and the optimal evacuation route calculated by the evacuation route calculation unit 130 in the event of a fire. display, and the fastest optimal evacuation route from the current user location may be additionally displayed.

In addition, the composite display device 142 includes an audio output module, and a fire alarm sound can be output through the audio output module when a fire occurs.

For example, the central display device 141 and the composite display device 142 include an emergency rescue button, and the emergency rescue button transmits a current location and a rescue request signal to the central server to rescue an injured person who cannot move. This can be induced to proceed preferentially.

<Example 3>

Referring to FIG. 8 , the fire detection and evacuation route guidance system 100 detects (S100) a fire-related factor including at least one of flame, heat, smoke, and gas, and based on the detected fire-related factor. to determine whether a fire has occurred (S200), and if the fire has occurred, determine the location of the fire (S300), calculate an optimal evacuation route based on the location of the fire (S400), and display the above on a preset display device The calculated fire location and the optimal evacuation route may be displayed (S500). At this time, a fire alarm sound may be output together with the display of the optimal evacuation route. Meanwhile, when a fire situation release signal is received from a predetermined manager terminal (S600), the fire alarm sound may be stopped.

According to the effects of the present invention as described above, by including a sensor for detecting heat, flame, gas, smoke, a fire detection and evacuation route guidance system that quickly determines whether a fire has occurred and provides an immediate fire alarm will be provided. can

In addition, by calculating an optimized evacuation route based on the fire occurrence location, a fire detection and evacuation route guidance system capable of inducing rapid evacuation and minimizing human casualties in the event of a fire can be provided.

In addition, the fire detection and evacuation route guidance method according to an embodiment of the present invention may be recorded in a computer readable medium containing program instructions for performing various computer-implemented operations. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The medium may include program instructions specially designed and configured for the present invention, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler.

As described above, although one embodiment of the present invention has been described by means of limited embodiments and drawings, one embodiment of the present invention is not limited to the above-described embodiments, which is based on common knowledge in the field to which the present invention belongs. Those who have it can make various modifications and variations from these materials. Therefore, one embodiment of the present invention should be grasped only by the claims described below, and all equivalents or equivalent modifications thereof will be said to belong to the scope of the present invention.

110: fire detection unit
120: fire judgment unit
130: evacuation route calculation unit
140: fire information provision unit 141: central display device
142: composite display device

Claims (5)

a fire detection unit that detects a fire-related factor including at least one of flame, heat, smoke, and gas, and collects sensing data for each fire-related factor;
a fire determination unit determining that a fire has occurred when the sensing data satisfies a predetermined condition;
an evacuation route calculation unit for determining a fire location based on whether or not a fire is determined by the fire determination unit and calculating an optimal evacuation route; and
A fire occurrence information providing unit that displays the optimal evacuation route calculated by the evacuation route calculation unit on a preset display panel and outputs a fire warning voice;
The sensing data includes measurement values and location data corresponding to the fire-related factors,
The fire judge,
a data selection unit that calculates a normal range and a valid data range for the sensing data; and
A fire detection and evacuation route guidance system comprising a; data determination unit for determining whether or not a fire has occurred based on the sensing data collected N times during a predetermined period of time. According to claim 1,
The data selector,
The fire detection unit collects the measured values corresponding to the fire-related factors for a predetermined time, and sets a limit value (L _ud ) according to the following [Equation 1] using the upper limit value, the lower limit value, and the average value of the collected measured values calculate,
A difference value obtained by subtracting the limit value from the average value or a value obtained by adding the limit value from the average value is calculated as a normal range, and data excluding the calculated normal range is determined as noise data,
The upper limit and the lower limit are,
It is derived within the predicted range defined as the range from the lower limit boundary value to the upper limit boundary value,
The lower limit boundary value is a value obtained by subtracting α times the average deviation from the average value of the preset initial value,
The upper limit value is a value obtained by adding α times the average deviation to the average value of the preset initial value,

The data judgment unit,
Among the sensing data collected N times for a preset time, each measured value (X _i ), the average value (M) calculated by the following [Equation 1] to [Equation 3], standard deviation (S _d ), and A fire detection and evacuation route guidance system characterized in that it is determined that a fire has occurred only when the average deviation (M _d ) satisfies all of the respective reference ranges.
[Equation 1]

(Where Av is the average value, U _v is the upper limit value, and L _v is the lower limit value)

[Equation 2]

[Equation 3]

[Equation 4]

(Where M is the average value, S _d is the standard deviation, M _d is the average deviation, N is the number of sensor measurements, and x _i is the sensor measurement value of each round among the measurement values collected for N times) According to claim 1,
A simulation control unit configured to stop measuring the sensing data in response to the fire-related factors in the fire detection unit and to input a compulsory command signal to the fire determination unit to determine that a fire has occurred;
When the compulsory command signal is input to the fire determination unit through the simulation test control unit, the optimal evacuation route is displayed through the fire occurrence information providing unit, and the fire warning voice is output. route guidance system. According to claim 1,
The evacuation route calculation unit,
The location of the fire is determined based on the sensing data sensed by the fire detection unit, but the sensing data that satisfies the reference range is first extracted by analyzing the measurement time of the sensing data, and the first one is extracted. Based on the location data included in the sensed data, the location of the fire is determined;
The fire detection and evacuation route guidance system, characterized in that for calculating the optimal evacuation route using the remaining openings other than the opening located within a predetermined distance from the fire location. According to claim 1,
The fire occurrence information providing unit,
Displaying the optimal evacuation route calculated by the evacuation route calculation unit,
A fire detection and evacuation route guidance system, characterized in that at least one of the optimal evacuation route, the fire occurrence location and the current user location is superimposed and displayed on a previously stored building interior drawing image.

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