KR20230070658A - people counter having thermal camera and, industrial site fire detecting system therewith - Google Patents

Abstract

The present invention relates to a people counter having a thermal camera and an industrial site fire detecting system using the same. Using a people/fire detection device manufactured by integrating a people counter and a thermal camera, the number of people in a preset detection area (S) at an industrial site can be counted, and at the same time the fire risk of process equipment can be calculated. Thus, it is possible not only to effectively prevent fire accidents at the industrial site, but also to efficiently establish safety management at the industrial site based on the number of people in each detection area (S).

Description

People counter having thermal camera and, industrial site fire detecting system therewith}

The present invention relates to a people counter with a built-in thermal camera and a fire detection system at an industrial site using the same, and more specifically, to a people counter and a thermal camera integrated into a person/fire detection device, a predetermined work space at an industrial site. By counting the number of people in (S) and at the same time calculating the fire risk of the process equipment, it is possible to effectively prevent fire accidents in the industrial site in advance, as well as the safety of the industrial site based on the number of people in each work space (S). It relates to a people counter with a built-in thermal camera that can efficiently establish management and an industrial site fire detection system using the same.

Typically, in industrial sites, a number of industrial facilities are installed to handle pre-allocated process tasks according to process design lines, and these industrial facilities are designed for design parts, work difficulty, manipulation difficulty, explosion hazard, etc. It is necessary to control that only workers who are allowed access to industrial facilities or sites with different security levels and high risk levels or security levels have access.

In addition, as the big data analysis system develops, meaningful information is extracted from the worker's behavioral base such as the worker's work location, movement direction, movement time, and destination location in the industrial field, and is used for safety management, work management, and quarantine management. As the degree increases, cases of installing people counters in various industrial sites are rapidly increasing.

On the other hand, in general, a number of industrial facilities are installed in industrial sites to process pre-allocated process tasks according to process design lines, and these industrial facilities basically use motors, electricity, etc. to continuously operate parts. Because of this, heat and overheating often occur.

In addition, industrial facilities have a very high probability of occurrence of fire when a failure or error occurs in any one of a number of complex parts, motor overload, power overload, etc. due to the failure or error. Accidents have a high risk of explosion and chain fire, as well as great economic damage. Therefore, various studies are being conducted on fire detection systems to predict and detect fires in advance.

1 is a block diagram showing an industrial complex fire detection system disclosed in Korean Patent Publication No. 10-2020-0060606 (Title of Invention: Complex Industrial Fire Detection System).

The industrial complex fire detection system (hereinafter referred to as the prior art) 100 of FIG. 1 includes a CCTV 110 for real-time filming of a plurality of fire monitoring target areas, and tracking or detecting heat generated in the fire monitoring target area. thermal imaging camera 120 for visually outputting and detecting fire, multi-sensor unit 130 for detecting signals in the area to be monitored in real time through a multi-segmentation method, CCTV 110, thermal image The control unit 140 for analyzing and controlling the fire-related information collected by the camera 120 and the multi-sensor unit 130, and when it is determined or predicted that a fire has occurred through the control unit 140, the fire information is sent to the fire department. It consists of a server unit 150 that can propagate to departments.

The thermal imaging camera 120 includes a video output unit 121 for visually outputting heat generated in a fire monitoring target area and a video output unit 121 for detecting a fire based on a thermal image captured by the video output unit 121. A fire detection unit 122 is included.

The multi-sensor unit 13 includes a temperature sensor unit 131 for detecting temperature fluctuations in the fire monitoring target area, a humidity sensor unit 132 for detecting humidity fluctuations in the fire monitoring target area, and a fire monitoring target area. It includes an atmospheric sensor unit 133 for detecting a change in atmospheric composition.

The server unit 150 includes a communication unit 151 capable of disseminating fire information analyzed by the control unit 140 to the firefighting equipment department, and a GPS unit 152 capable of tracking and confirming the location of a fire monitoring target area. do.

The prior art 100 configured as described above uses a composite fire detector composed of multiple sensors 130 such as temperature and humidity sensors, a thermal imaging camera 120, and a CCTV 110 to prevent fires in facilities and spaces at industrial sites. can be monitored in real time, and has the advantage of being able to quickly follow-up in case of fire.

However, in the prior art 100, installation and operating costs are increased and installation is complicated because the components 110, 120, and 130 for detecting fire under different conditions are installed for each fire monitoring target area. It is cumbersome, and the power and communication wiring lines are complicated, which deteriorates the aesthetics, and has the disadvantage that failures and errors occur frequently.

In addition, in the prior art 100, since a people counter for counting workers entering and exiting each fire monitoring target area is not installed, it is impossible to detect worker behavioral information such as the worker's location, movement direction, and target location, and accordingly, worker behavior It has structural limitations that cannot be used to increase the efficiency of safety, work and quarantine management based on meaningful information extracted from information.

In order to solve this problem, a people counter known in the prior art 100 should be installed, but a people counter separately from a plurality of components 110, 120, and 130 for detecting a fire. In the case of installation, the installation is complicated and cumbersome, and the power and communication wiring lines are complicated, thereby degrading the aesthetics, and further intensifying the above-described problems in that failures and errors occur frequently.

In addition, since the prior art 100 detects whether or not a fire occurs in a simple way in which each of the component means 110, 120, and 130 for detecting a fire compares the detected measured value with a preset threshold value, industrial equipment It has a problem that misrecognition and errors frequently occur due to overheating and heat generation according to the process characteristics of the process.

In general, a plurality of industrial facilities are installed in various industrial sites, and these industrial facilities consist of assembling a plurality of parts to perform a process according to a process line. At this time, each industrial facility has a different heating temperature depending on the process, function, and operation. For example, in the case of a high-temperature nozzle, which is a part of industrial equipment that sprays high-temperature gas to a process target, in the case of a Freon gas nozzle, which is a part of a process machine for emitting a relatively high exothermic temperature and cooling a process target, It emits a low exothermic temperature.

However, the prior art (10) does not take into account the different characteristics of the heating temperature for each part of the industrial facility at all, and simply determines whether a fire occurs based on the magnitude of the temperature, resulting in poor accuracy and reliability of the determination. .

The present invention is intended to solve these problems, and an object of the present invention is not only to increase the accuracy and reliability of fire prediction / detection by including a people counter and a thermal camera in which a personnel / fire detection device is integrally manufactured, but also to increase the accuracy and reliability of fire prediction / detection. By utilizing the number of people entering and exiting (N) by surveillance area (S), management efficiency at industrial sites can be increased, installation and operation costs are reduced, and people counters with built-in thermal cameras that are easy to install and industrial site fire detection systems using them are provided. It is to do.

In addition, another problem of the present invention is to separately calculate the temperature-value for each pixel in consideration of the characteristics of different heating temperatures for each part of industrial equipment and the characteristics of different heating temperatures between operating and non-operating states, It is to provide a people counter with a built-in thermal camera and an industrial site fire detection system using the same, which can remarkably increase the accuracy and reliability of fire detection by being configured to predict and detect a fire by comparing it with the reference temperature of each pixel in the same time zone.

In addition, another problem of the present invention is that the controller judges fire prediction or fire detection according to the elapsed time (t) of the suspected fire state, but the alarm display device expresses the alarm method differently according to the fire prediction or fire detection. It is an object of the present invention to provide a people counter with a built-in thermal camera and an industrial site fire detection system using the same, which can accurately recognize the state of fire and take appropriate follow-up measures.

The solution of the present invention for solving the above problems is an industry including personnel / fire detection devices installed in each of the preset work spaces (S), and alarm display devices installed in each of the work spaces (S) In the on-site fire detection system: the number of people / fire detection devices are installed in the entrance and exit of the pre-allocated work space (S) and counts the number of people entering and exiting (N); A thermal camera for obtaining a thermal image by heat-tracking the pre-allocated work space (S); A controller comprising: a memory; an entry/exit number input/registration unit for registering the entry/exit number information outputted from the peep counter in the memory; a thermal image analyzer for analyzing a thermal image obtained by thermal tracking of the thermal camera; After calculating the temperature-value for each pixel by analyzing and utilizing the analysis data detected by the thermal image analyzer, the calculated temperature-value is compared with the sum value obtained by adding the threshold value to the preset reference temperature for each pixel. a fire predicting/sensing unit for detecting a fire if the calculated temperature-value for each pixel is greater than or equal to the sum of the threshold values and the reference temperatures of the corresponding pixels; When a fire is detected by the fire prediction/sensing unit, it includes a fire alarm display unit that drives alarm display devices installed in the corresponding work space (S).

In addition, in the present invention, the controller further includes a reference information setting unit that is executed every predetermined period (T) after initial installation or initial installation, and the reference information setting unit inputs a thermal image obtained by thermal-tracking of the thermal camera receiving thermal image input module; a thermal image analysis module that analyzes the thermal image input by the thermal image input module; a temperature calculation module for each pixel that analyzes and utilizes the analysis data detected by the thermal image analysis module and calculates a temperature (° C.) for each pixel; a statistical data generation module for generating statistical data by sorting the temperature-values of each pixel by time period using the temperature-value of each pixel calculated by the temperature calculation module for each pixel during a predetermined period (T); The statistical data generated by the statistical data generation module is processed and analyzed to calculate the average temperature-value of each pixel for each time period, and the calculated average temperature-value is set as the reference temperature of the corresponding pixel in the corresponding time period. It is preferable to include a reference temperature setting module for each pixel.

In addition, in the present invention, the fire prediction/detection unit analyzes and utilizes the analysis data detected by the thermal image analysis unit to calculate a temperature-value (° C.) for each pixel; a second temperature calculation module for each pixel; a reference temperature extraction module for the same time zone that searches for the reference temperature for each time zone/pixel stored in the memory and extracts a reference temperature for each pixel corresponding to the current time zone; The temperature-value for each pixel calculated by the temperature calculation module for each pixel is compared with a value obtained by adding the threshold value to the reference temperature for each pixel extracted by the reference temperature extraction module for the same time period, 1) for each pixel If the temperature-value is less than the value obtained by adding the threshold to the reference temperature of the corresponding pixel, the current state is determined to be 'normal'. If this is the case, a comparison and determination module for determining the current state as a suspected fire state; a suspected fire state tracking module that is executed when the current state is judged to be a fire suspect state in the comparison and determination module, and tracks the temperature-value of the pixel determined to be a fire suspect state; Comparing the elapsed time (t) in which the suspect fire state lasted from the time when the pixel in the suspected fire state tracked by the suspicious fire state tracking module was determined to be in the suspicious fire state with a preset first set time (TH1, Threshold1) a first comparison module; In the first comparison module, 1) if the elapsed time (t) is less than the first set time (TH1), no separate operation is performed, and 2) if the elapsed time (t) is greater than or equal to the second set time (TH1) , a fire prediction decision module that predicts a fire; The suspicious fire state tracked by the suspected fire state tracking module determines the elapsed time (t) in which the suspected fire state lasted from the time when the pixel in the suspected fire state is determined to be in the suspected fire state, the second set time (TH2, TH2 > TH1) and A second comparison module for comparing; In the second comparison module, 1) if the elapsed time (t) is less than the second set time (TH1), no separate operation is performed, and 2) if the elapsed time (t) is greater than or equal to the second set time (TH2) In this case, it is preferable to include a fire detection decision module for determining that a fire has occurred.

In addition, in the present invention, the industrial site fire detection system further includes a local server for managing and controlling the personnel/fire detection devices and the alarm display devices, and the controller determines when a fire is predicted by the fire prediction decision module. , Fire prediction information including location information, pixel information, and fire prediction information of the work space (S) is generated, and when a fire is detected by the fire detection decision module, the location information of the work space (S), a fire prediction/detection information generation unit that generates fire detection information including pixel information and fire detection information; Further comprising a control unit for transmitting the fire prediction information or fire detection information generated by the fire prediction/detection information generation unit to the local server, and when the local server receives the fire prediction information or fire detection information from the controller, It is preferable that the alarm display devices are operated, and the alarm display devices express differently according to whether the data received from the local server is fire prediction information or fire detection information.

According to the present invention having the above problems and solutions, the accuracy and reliability of fire prediction/detection can be increased by including a people counter and a thermal camera in which the personnel/fire detection device is integrally manufactured, as well as for each surveillance area (S). By utilizing the number of people entering and exiting (N), the management efficiency of the industrial site can be increased, installation and operation costs are reduced, and installation is made simple.

In addition, according to the present invention, after calculating the temperature-value for each pixel separately in consideration of the characteristics of different heating temperatures for each part of the industrial facility and the different characteristics of heating temperature between operating and non-operational states, Since it is configured to predict and detect a fire by comparing it with the reference temperature for each pixel, the accuracy and reliability of fire detection can be remarkably increased.

In addition, according to the present invention, the controller judges fire prediction or fire detection according to the duration elapsed time (t) of the suspected fire state, but the alarm display device expresses the alarm method differently according to the fire prediction or fire detection, thereby determining the fire state. Accurate recognition is possible, so appropriate follow-up can be made.

1 is a block diagram showing an industrial complex fire detection system disclosed in Korean Patent Publication No. 10-2020-0060606 (Title of Invention: Complex Industrial Fire Detection System).
2 is a configuration diagram showing an industrial site fire detection system according to an embodiment of the present invention.
FIG. 3 is an exemplary view for explaining FIG. 2 .
FIG. 4 is a configuration diagram showing the personnel/fire detection device of FIG. 2 .
FIG. 5 is an exemplary view showing how the people counter of FIG. 4 is installed.
FIG. 6 is a block diagram illustrating the controller of FIG. 4 .
7 is a block diagram illustrating a reference temperature setting unit of FIG. 6 .
FIG. 8 is a block diagram illustrating a fire prediction/detection unit of FIG. 6 .

Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

2 is a configuration diagram showing an industrial site fire detection system according to an embodiment of the present invention, and FIG. 3 is an exemplary view for explaining FIG. 2 .

Industrial site fire detection system 1, which is an embodiment of the present invention, counts the number of people in a preset work space S of an industrial site using a people / fire detection device in which a people counter and a thermal camera are integrally manufactured, At the same time, it is configured to calculate the fire risk of process equipment, so that fire accidents in industrial sites can be effectively prevented in advance, and safety management in industrial sites can be efficiently established based on the number of people in each work space (S). .

In addition, as shown in FIG. 2, the fire detection system 1 for industrial sites of the present invention includes a people counter 301 and a thermal camera 303 integrally manufactured, and each of the preset work spaces (S) of the industrial site Personnel/fire detection devices (3-1), ..., (3-N) that are installed to count the number of people entering and exiting the work space (S) and predict / detect fire at the same time, and industrial sites A local server 5 installed in and storing the number of people entering and exiting (N) and fire detection information transmitted from personnel/fire detection devices (3-1), ..., (3-N), and a local server (5) ) and a wired/wireless communication network 10 providing a data movement path between personnel/fire detection devices 3-1, ..., and 3-N.

At this time, although not shown in the present invention for convenience of explanation, the number of people entering and exiting received from the personnel/fire detection devices 3-1, ..., and (3-N) by performing data communication with the local server 5 (N) and fire detection information are stored, and at the same time, the collected number of people entering and exiting (N) is analyzed and utilized, and from the number of people entering and exiting (N), meaningful information to be used for work, safety, and quarantine management of the work space is extracted and transmitted. Depending on the received fire detection information, it includes a control center server (not shown) requesting dispatch to the fire station, police station, etc. Since this control center server is a commonly used technology in fire monitoring systems, detailed descriptions will be omitted. do it with

The wired/wireless communication network 10 is a network that supports data communication between the local server 5 and personnel/fire detection devices 3-1, ..., (3-N), in detail, a communication cable, It may be configured with a network such as a local area network (LAN) and a wide area network (WAN).

The local server 5 is installed at an industrial site and is connected to the personnel/fire detection devices 3-1, ..., and 3-N through a wired/wireless communication network 10 to transmit and receive data.

In addition, the local server 5 stores the location information of each preset work space S and the location and identification information of the personnel/fire detection device 3 installed in each work space S.

In addition, the local server 5 stores the number of people entering and exiting (N) transmitted from the personnel/fire detection devices (3-1), ..., (3-N) and sends it to an external control center server (not shown). send.

In addition, when the local server 5 receives fire detection information from personnel/fire detection devices 3-1, ..., (3-N), it transmits the fire detection information to a preset manager terminal (not shown). At the same time, it is possible to effectively prevent damage caused by fire by operating alarm display devices (warning lights, speakers, etc.) placed in industrial sites so that prompt follow-up measures for fire prediction/occurrence can be made.

At this time, the alarm display devices express differently according to whether the data transmitted from the local server is fire prediction information or fire detection information.

FIG. 4 is a configuration diagram showing the personnel/fire detection device of FIG. 2 .

Personnel/fire detection devices (3-1), ..., (3-N) are installed for each preset work space (S) of the industrial site.

In addition, as shown in FIG. 4, the personnel/fire detection device 3 includes a people counter 301 for counting the number of people entering and exiting the pre-allocated work space S including heat-sensing sensors 301, It consists of a thermal camera 303 that obtains a thermal image by heat-tracking the space S, and a controller 300 that manages and controls operations of the people counter 301 and the thermal image camera 303 .

At this time, the people/fire detection device 3 is manufactured as a people counter 301, a thermal camera 303, and a controller 300 integrally.

The controller 300 manages and controls operations of the people counter 301 and the controller 300 .

In addition, the controller 300 transmits information on the number of people entering and exiting (N) calculated by the people counter 301 to the local server 5 .

In addition, the controller 300 analyzes the thermal image obtained by heat-tracking of the thermal camera 303, predicts / detects a fire in the industrial facility of the corresponding work space (S), and when predicting / detecting a fire, fire detection At the same time as generating information, the generated fire detection information is transmitted to the local server (5).

At this time, the technology and method for predicting/detecting fire by the controller 300 based on the thermal image will be described in detail with reference to FIGS. 6 to 8 to be described later.

FIG. 5 is an exemplary view showing how the people counter of FIG. 4 is installed.

The people counter 301 is installed directly above the entrance of the preset work space (S), and counts the number of people entering and exiting (N) by detecting a human body passing through the corresponding entrance.

In addition, the people counter 301 includes a heat-detection sensor for measuring the temperature-value of the sensing area S' forming the entrance. At this time, the sensing area S' formed by the heat-detecting sensor is classified into N X N blocks, as shown in FIG. 5 .

That is, the people counter 301 detects the temperature value of a worker passing through the detection area S' divided into N X N blocks for each block using a heat-detection sensor, and uses a pattern analysis algorithm to detect the temperature for each block. -Accurately counts the entry and exit of workers by analyzing the values.

At this time, the technology and method for counting the number of people (N) by the people counter 301 using a heat-sensing sensor is disclosed in Korean Registered Patent No. 10-1727471 (title of invention: Smart human body counter using a heat-sensing sensor). The disclosed human body counter was applied.

In addition, the number of people entering and exiting (N) counted by the people counter 301 is output to the controller 300 .

FIG. 6 is a block diagram illustrating the controller of FIG. 4 .

As shown in FIG. 4, the controller 300 includes a control unit 30, a memory 31, a communication interface unit 32, a reference temperature setting unit 33, a unit for inputting/registering the number of people entering and leaving the unit 34, and a thermal image It consists of an analysis unit 35, a fire prediction/detection unit 36, a fire prediction/detection information generation unit 37, and a fire alarm display unit 38.

The control unit 30 is an O.S (Operating System) of the controller 300, and the control target (31), (32), (33), (34), (35), (36), (37), (38) manage and control their operations.

In addition, the control unit 30 stores information on the number of people entering and exiting (N) outputted from the people counter 301 through the communication interface unit 32 in the memory 31 .

In addition, the control unit 30 inputs the thermal image obtained by heat-tracking of the thermal image camera 303 to the thermal image analysis unit 35 .

In addition, when the fire prediction/detection is performed by the fire prediction/detection unit 36, the control unit 30 inputs the fire detection information to the fire detection information generation unit 37 and the fire alarm display unit 38.

In addition, when the fire detection information is generated by the fire detection information generation unit 37, the control unit 30 controls the communication interface unit 32 to transmit the generated fire detection information to the local server 5.

Also, the control unit 30 controls the communication interface unit 32 to transmit the thermal image obtained by heat-tracking of the thermal camera 303 to the control center server through the local server 5 .

In the memory 31, the location and identification information of the pre-allocated work space (S) and the location and identification information given to it are set and stored in advance.

In addition, in the memory 31, information on the number of people entering and exiting (N) is registered and updated by the entry/registration unit 34.

In addition, the memory 31 stores communication information of each of the alarm display devices installed in the corresponding work space S.

In addition, the memory 31 stores thermal images obtained by thermal tracking of the thermal camera 303 and analysis data detected by the thermal image analyzer 35 .

The communication interface unit 32 transmits and receives data with the local server 5 and the alarm display devices of the corresponding work space S.

7 is a block diagram illustrating a reference temperature setting unit of FIG. 6 .

The reference temperature setting unit 33 of FIG. 7 is executed at the initial installation, and at the same time, it is executed every predetermined cycle (T) after the initial installation.

As shown in FIG. 7, the reference temperature setting unit 33 includes a thermal image input module 331, a thermal image analysis module 332, a temperature calculation module 333 for each pixel, and a statistical data generation module 334. , It consists of a reference temperature setting module 335 for each time zone/pixel.

The thermal image input module 331 receives a thermal image obtained by thermal tracking of the thermal image camera 303 .

The thermal image analysis module 332 analyzes the thermal image input by the thermal image input module 331 . In this case, thermal image analysis refers to preprocessing to easily and accurately calculate the temperature of the thermal image.

The temperature calculation module 333 for each pixel analyzes and uses the analysis data detected by the thermal image analysis module 332 to calculate the temperature (°C) for each pixel.

The statistical data generation module 334 utilizes the temperature-value of each pixel calculated by the temperature calculation module 333 for each pixel during a preset period (T), sorts the temperature-value of each pixel by time period, and collects statistics. generate data

The reference temperature setting module 335 for each time zone/pixel processes and analyzes the statistical data generated by the statistical data generation module 334, calculates the average temperature-value of each pixel for each time zone, and calculates the average temperature-value Set as the reference temperature of the corresponding pixel in the corresponding time zone.

At this time, the reference temperature for each time zone/pixel set by the reference temperature setting module 335 for each time zone/pixel is stored in the memory 31 under the control of the control unit 30 .

The number of people entering/registering unit 34 registers information on the number of people entering and exiting (N) input from the people counter 301 in the memory 31 .

The thermal image analysis unit 35 analyzes the thermal image obtained by thermal tracking of the thermal image camera 303 . In this case, the analysis means preprocessing to easily and accurately calculate the temperature of the thermal image.

FIG. 8 is a block diagram illustrating a fire prediction/detection unit of FIG. 6 .

As shown in FIG. 8, the fire prediction/detection unit 37 includes a temperature calculation module 381 for each pixel, a reference temperature extraction module 382, a comparison and determination module 383, and a suspected fire state tracking at the same time. It consists of a module 384, a first comparison module 385, a fire prediction decision module 386, a second comparison module 387, and a fire detection decision module 388.

The temperature calculation module 371 for each pixel analyzes and utilizes the analysis data detected by the thermal image analyzer 36 to calculate a temperature-value (°C) for each pixel.

The same time zone reference temperature extraction module 372 searches for the reference temperature for each time zone/pixel stored in the memory 31 and extracts the reference temperature for each pixel corresponding to the current time zone.

The comparison and determination module 373 sets the temperature-value for each pixel calculated by the temperature calculation module 371 for each pixel to the reference temperature for each pixel extracted by the reference temperature extraction module 372 for the same time period. Compare the summed values.

In addition, the comparison and determination module 373 determines that the current state is 'normal' if the temperature-value of each pixel is less than the value obtained by adding the threshold value to the reference temperature of the corresponding pixel.

In addition, the comparison and determination module 373 determines that the current state is a suspected fire state if the temperature-value of each pixel is equal to or greater than the value obtained by adding the threshold value to the reference temperature of the corresponding pixel.

Suspicious fire state tracking module 374 is executed when the current state is determined to be in a suspicious fire state in the comparison and determination module 373, and tracks the temperature-value of the pixel determined to be in a suspicious fire state.

The first comparison module 375 compares the elapsed time t for which the suspect fire state lasted from the point in time when the pixel in the suspicious fire state was determined to be in the suspicious fire state with a preset first set time period TH1 (Threshold1).

At this time, the first set time TH1 means the minimum value of the elapsed time t that can predict a fire.

In the first comparison module 375, the fire prediction determination module 376 does not perform a separate operation when 1) the elapsed time t is less than the first set time TH1, 2) the elapsed time t If it is longer than the second set time period TH1, a fire is predicted.

At this time, if a fire is predicted by the fire prediction determination module 376, the fire prediction/detection information generation unit 37 is executed under the control of the control unit 30, and the fire prediction/detection information generation unit 37 generates a fire When is predicted, fire prediction information including location information, pixel information, and fire prediction details of the corresponding work space (S) is generated.

The second comparison module 377 compares the elapsed time (t) that the suspect fire state lasted from the point in time when the pixel in the suspicious fire state was determined to be in the suspicious fire state with a preset second set time (TH2, TH2 > TH1) do.

At this time, the second set time TH2 means the minimum value of the elapsed time t for determining that a fire has occurred.

In the second comparison module 377, the fire detection determination module 378 does not perform a separate operation when 1) the elapsed time t is less than the second set time TH1, and 2) the elapsed time t If it is equal to or longer than the second set time period TH2, it is determined that a fire has occurred.

At this time, when a fire is detected by the fire detection determination module 378, the fire prediction/detection information generation unit 37 is executed under the control of the control unit 30, and the fire prediction/detection information generation unit 37 generates a fire When detection is determined, fire detection information including location information, pixel information, and fire detection information of the corresponding work space S is generated.

The fire prediction / detection information generation unit 37 is executed when a fire is predicted by 1) the fire prediction decision module 376, and includes location information, pixel information, fire prediction contents, etc. of the corresponding work space (S). It generates fire prediction information, and 2) is executed when a fire is detected by the fire detection decision module 378, and fire detection information including location information of the work space S, pixel information, fire detection contents, etc. create

At this time, the control unit 30 is a communication interface unit so that when fire prediction information or fire detection information is generated by the fire prediction/detection information generation unit 37, the generated fire prediction information or fire detection information is transmitted to the local server 5. 32 is controlled and the fire alarm display unit 38 is executed at the same time.

The fire alarm display unit 38 is executed when fire prediction information or fire detection information is generated by the fire prediction/detection information generation unit 37, and an alarm display device installed in the work space S (warning light, speaker, etc.) ) to drive each of them so that prompt action according to fire prediction/detection is made.

As such, an embodiment of the present invention, a people counter with a built-in thermal camera and an industrial site fire detection system using the same

By including a people counter and a thermal camera in which the personnel/fire detection device is integrated, not only can the accuracy and reliability of fire prediction/detection be increased, but also the number of people entering and exiting (N) for each detection area (S) can be utilized to improve the quality of industrial sites. It can increase management efficiency, reduce installation and operation costs, and simplify installation.

In addition, the industrial site fire detection system 1 of the present invention includes a people counter and a thermal camera in which the personnel / fire detection device is integrally manufactured, so that the accuracy and reliability of fire prediction / detection can be increased, as well as each monitoring area (S ), it is possible to increase the management efficiency of industrial sites by utilizing the number of people entering and exiting (N), reducing installation and operation costs, and simplifying installation.

In addition, the industrial site fire detection system 1 of the present invention considers the characteristics of different heating temperatures for each part of industrial equipment and the different characteristics of operating and non-operating heating temperatures, and calculates the temperature-value for each pixel. After calculating it separately, it is configured to predict and detect a fire by comparing it with the reference temperature of each pixel in the same time zone, thereby significantly increasing the accuracy and reliability of fire detection.

In addition, in the industrial site fire detection system 1 of the present invention, the controller judges fire prediction or fire detection according to the elapsed time t of the suspected fire state, but the alarm display device uses an alarm method according to fire prediction or fire detection By expressing differently, it is possible to accurately recognize the fire state, so that appropriate follow-up measures can be made.

1: industrial site fire detection system 3-1, ..., 3-N: personnel / fire detection devices
5: local server 10: communication network
30: control unit 31: memory
32: communication interface unit 33: reference temperature setting unit
34: Entry/registration unit for the number of people entering and leaving 35: Thermal image analysis unit
36: fire prediction / detection unit 37: fire prediction / detection information generation unit
38: fire alarm display unit 300: controller
301: people counter 303: thermal camera
331: thermal image input module 332: thermal image analysis module
333: Temperature calculation module for each pixel 334: Statistical data generation module
335: Reference temperature setting module for each time zone/pixel
371: Temperature calculation module for each pixel 372: Reference temperature extraction module for the same time zone
373: Comparison and judgment module 374: Suspicious fire state tracking module
375: first comparison module 376: fire prediction determination module
377: second comparison module 378: fire detection determination module

Claims (4)

In the industrial site fire detection system including personnel / fire detection devices installed in each of the preset work spaces (S) and alarm display devices installed in each of the work spaces (S):
The personnel/fire detection devices are
A people counter installed in the entrance and exit of the pre-allocated work space (S) and counting the number of people entering and exiting (N);
A thermal camera for obtaining a thermal image by heat-tracking the pre-allocated work space (S);
contains a controller;
The controller
Memory;
an entry/exit number input/registration unit for registering the entry/exit number information outputted from the peep counter in the memory;
a thermal image analyzer for analyzing a thermal image obtained by thermal tracking of the thermal camera;
After calculating the temperature-value for each pixel by analyzing and utilizing the analysis data detected by the thermal image analyzer, the calculated temperature-value is compared with the sum value obtained by adding the threshold value to the preset reference temperature for each pixel. a fire predicting/sensing unit for detecting a fire if the calculated temperature-value for each pixel is greater than or equal to the sum of the threshold values and the reference temperatures of the corresponding pixels;
Industrial site fire detection system, characterized in that it comprises a fire alarm display unit for driving the alarm display devices installed in the work space (S) when a fire is detected by the fire prediction / detection unit. The method of claim 1, wherein the controller further comprises a reference information setting unit that is executed every predetermined period (T) after initial installation or initial installation,
The standard information setting unit
a thermal image input module for receiving a thermal image obtained by thermal tracking of the thermal camera;
a thermal image analysis module that analyzes the thermal image input by the thermal image input module;
a temperature calculation module for each pixel that analyzes and utilizes the analysis data detected by the thermal image analysis module and calculates a temperature (° C.) for each pixel;
a statistical data generation module for generating statistical data by sorting the temperature-values of each pixel by time period using the temperature-value of each pixel calculated by the temperature calculation module for each pixel during a predetermined period (T);
The statistical data generated by the statistical data generation module is processed and analyzed to calculate the average temperature-value of each pixel for each time period, and the calculated average temperature-value is set as the reference temperature of the corresponding pixel in the corresponding time period. An industrial site fire detection system comprising a reference temperature setting module for each pixel. The method of claim 2, wherein the fire prediction / detection unit
a second temperature calculation module for each pixel that analyzes and utilizes the analysis data detected by the thermal image analyzer and calculates a temperature-value (°C) for each pixel;
a reference temperature extraction module for the same time zone that searches for the reference temperature for each time zone/pixel stored in the memory and extracts a reference temperature for each pixel corresponding to the current time zone;
The temperature-value for each pixel calculated by the temperature calculation module for each pixel is compared with a value obtained by adding the threshold value to the reference temperature for each pixel extracted by the reference temperature extraction module for the same time period, 1) for each pixel If the temperature-value is less than the value obtained by adding the threshold to the reference temperature of the corresponding pixel, the current state is determined to be 'normal'. If this is the case, a comparison and determination module for determining the current state as a suspected fire state;
a suspected fire state tracking module that is executed when the current state is judged to be a fire suspect state in the comparison and determination module, and tracks the temperature-value of the pixel determined to be a fire suspect state;
Comparing the elapsed time (t) in which the suspect fire state lasted from the time when the pixel in the suspected fire state tracked by the suspicious fire state tracking module was determined to be in the suspicious fire state with a preset first set time (TH1, Threshold1) a first comparison module;
In the first comparison module, 1) if the elapsed time (t) is less than the first set time (TH1), no separate operation is performed, and 2) if the elapsed time (t) is greater than or equal to the second set time (TH1) , a fire prediction decision module that predicts a fire;
The suspicious fire state tracked by the suspected fire state tracking module determines the elapsed time (t) that the suspected fire state lasted from the time when the pixel in the suspected fire state is determined to be in the suspected fire state, and the second preset time (TH2, TH2 > TH1) and A second comparison module for comparing;
In the second comparison module, 1) if the elapsed time (t) is less than the second set time (TH1), no separate operation is performed, and 2) if the elapsed time (t) is greater than or equal to the second set time (TH2) , An industrial site fire detection system comprising a fire detection determination module for determining that a fire has occurred. The method of claim 3, wherein the industrial site fire detection system
Further comprising a local server for managing and controlling the personnel / fire detection devices and the alarm display devices,
The controller
When a fire is predicted by the fire prediction decision module, fire prediction information including location information, pixel information, and fire prediction details of the work space (S) is generated, and fire is detected by the fire detection decision module. a fire prediction/detection information generation unit for generating a fire detection information including location information, pixel information, and fire detection contents of the work space (S);
Further comprising a control unit for transmitting the fire prediction information or fire detection information generated by the fire prediction / detection information generation unit to the local server,
the local server
When fire prediction information or fire detection information is received from the controller, the alarm display devices are operated;
The alarm display devices are industrial site fire detection system, characterized in that the display method is differently expressed depending on whether the data transmitted from the local server is fire prediction information or fire detection information.

Images