Deep portion fire detecting device

Abstract

To obtain a deep portion fire detecting device capable of specifying a location of a deep portion fire that has occurred inside a pile of biomass fuel in a biomass warehouse that stores the biomass fuel.SOLUTION: A deep portion fire detecting device comprises: a CO sensor that detects carbon monoxide concentration; a temperature sensor that detects a temperature distribution in a fire monitoring region in a non-contact state with the biomass fuel; and a control unit that specifies a deep portion fire location in the biomass fuel. The control unit estimates that a deep portion fire had occurred due to the biomass fuel when the carbon monoxide concentration detected by the CO sensor exceeds an acceptable concentration threshold value; and the control unit finds out a high temperature region by moving a temperature sensor within a warehouse. Under a state where it is estimated that a deep portion fire has occurred, when there is a pixel region in the temperature distribution detected by the temperature sensor where a temperature exceeding a deep portion fire determining threshold value is measured, the control unit specifies the pixel region as a deep portion fire location.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present disclosure relates to a deep fire detection device suitable for detecting deep fires occurring within biomass fuel piled and stored in a warehouse. [Background technology]

[0002] Biomass refers to resources derived from plants and animals, such as livestock waste, corn, thinned wood, wood pellets, etc. When such biomass resources are piled up and stored, they are loaded and unloaded into warehouses using wheel loaders or the like, and therefore the top surface is not necessarily flat, but rather has an uneven surface.

[0003] In biomass storage facilities with such characteristics, there is a fire extinguishing system that can calculate the location of a flame (see, for example, Patent Document 1). The fire extinguishing system disclosed in Patent Document 1 uses a flame detection unit and an infrared detection unit in combination to identify the location of a flame on an uneven surface.

[0004] In the fire extinguishing system of Patent Document 1, when the infrared detection unit detects a high temperature area but the flame detection unit does not detect a flame in the high temperature area, it determines that the uneven surface is an obstacle preventing the flame from being detected by the flame detection unit, and eliminates the obstacle by blowing water toward the area below the high temperature area.

[0005] With this configuration, even if the surface of the piled wood pellets is uneven, as in a wood pellet storage facility, and the position of the flame is hidden by the unevenly piled wood pellets, the fire extinguishing system can eliminate the unevenness by spraying water and efficiently extinguish the fire. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Publication No. 2021-159419 Summary of the Invention [Problem to be solved by the invention]

[0007] In Patent Document 1, even when an uneven surface acts as an obstacle and hides the flame, the infrared detection unit can be used to detect the flame on the uneven surface as a high-temperature area. However, in Patent Document 1, the detection target is only the flame on the uneven surface, and the position of the flame is identified by the flame detection unit.

[0008] However, in buildings storing biomass fuel, it is important to not only detect flames on the surface of the biomass fuel, but also to detect deep fires inside the accumulated biomass fuel. Deep fires continue to smolder, and it takes time for the fire to develop into a visible flame, so detection by the flame detection unit is delayed. In other words, the flame detection unit described in Patent Document 1 is not suitable for detecting deep fires.

[0009] Furthermore, in the case of fires in facilities where biomass fuel is stored, it is expected that the environment will be dusty or have smoke moving due to air conditioning, making it difficult to identify the source of the fire using smoke detectors. Therefore, there is a need for a device that is suitable for detecting deep fires in facilities where biomass fuel is stored.

[0010] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a deep fire detection device that can identify the location of a deep fire that has occurred inside accumulated biomass fuel in a building where biomass fuel is stored. [Means for solving the problem]

[0011] The deep fire detection device of the present disclosure is installed in a building that stores combustible materials that may cause a deep fire, and includes a CO sensor that detects the carbon monoxide concentration in the building, a temperature sensor that detects the temperature in the fire monitoring area without contacting the combustible materials by measuring the temperature of the area where combustible materials are piled up, which is the fire monitoring area, and a control unit that identifies a deep fire in the piled combustible materials based on the detection results from the CO sensor and the temperature sensor.The control unit presumes that a deep fire caused by combustible materials has occurred if the carbon monoxide concentration detected by the CO sensor exceeds a predetermined allowable concentration threshold, and if the temperature sensor measures a temperature that exceeds a predetermined deep fire determination threshold in a state in which it presumes that a deep fire has occurred, it determines that a deep fire has occurred in the piled combustible materials. [Effects of the Invention]

[0012] According to the present disclosure, a deep fire detection device can be obtained that can identify the location of a deep fire that has occurred inside accumulated biomass fuel in a building that stores biomass fuel. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a functional block diagram of a deep fire detection device according to a first embodiment of the present disclosure. [Figure 2] FIG. 2 is an explanatory diagram relating to a monitoring range of a temperature sensor according to the first embodiment of the present disclosure. [Figure 3] FIG. 4 is an explanatory diagram showing an example of measurement results for each pixel of the temperature sensor according to the first embodiment of the present disclosure. [Figure 4] FIG. 2 is an explanatory diagram illustrating water discharge at a deep fire location using a water discharge facility in the first embodiment of the present disclosure. [Figure 5] 1 is an explanatory diagram showing a specific configuration example of a deep fire detection device according to a first embodiment of the present disclosure. [Figure 6] 3 is a flowchart showing a series of processes executed by the deep fire detection device according to the first embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, preferred embodiments of the deep fire detection device of the present disclosure will be described with reference to the drawings. The deep fire detection device disclosed herein has the technical feature of inferring the occurrence of a deep fire when a CO sensor detects a carbon monoxide concentration that exceeds an allowable concentration threshold, and then acquiring the temperature distribution using a temperature sensor and extracting pixel areas where temperatures exceeding a deep fire determination threshold, which is a value lower than the threshold for detecting high-temperature areas caused by flames, thereby identifying the location of the deep fire.

[0015] Embodiment 1 Fig. 1 is a functional block diagram of a deep fire detection device according to a first embodiment of the present disclosure. The deep fire detection device shown in Fig. 1 is configured to include a CO sensor 10, a temperature sensor 20, a water discharge system 30, and a control unit 40. The CO sensor 10, the temperature sensor 20, and the water discharge system 30 are each installed in a building 1 or warehouse that stores biomass fuel, as shown in Fig. 4 or Fig. 5, which will be described later.

[0016] The CO sensor 10 is a sensor that is installed in a building 1 that stores biomass fuel and detects the carbon monoxide concentration within the building 1. When a deep fire occurs and the flame continues to smolder deep within the accumulated biomass fuel, the fire detection device may not reach a detection temperature at which it can determine that a fire has occurred. However, even in the case of a deep fire where a flame has not yet broken out on the surface of the accumulated biomass fuel, the carbon monoxide concentration within the building 1 increases.

[0017] To explain this in more detail, when wood pellets or the like are used as biomass fuel, fermentation heat accumulates inside the piled biomass fuel, and over time, CO and flammable gases are generated. The generated CO gas and other gases rise through the gaps between the wood pellets and flow from the surface of the piled biomass fuel to the upper part of building 1.

[0018] As the fermentation area in the biomass fuel expands and the fuel temperature rises, flammable gases ignite, causing a deep fire. Deep fires spread slowly, and it is assumed that the onset of flames occurs much slower than the generation of CO gas.

[0019] Therefore, by monitoring the carbon monoxide concentration, it is possible to estimate the risk of a deep-seated fire. The monitoring of the carbon monoxide concentration is performed by the control unit 40, and details will be described later.

[0020] One or more CO sensors can be installed in the building 1. When air currents such as air conditioning are generated in the building 1, it is desirable to install the CO sensor on the wall surface downwind.

[0021] The temperature sensor 20 is a sensor that is installed above the piled biomass fuel in the building 1 that stores the biomass fuel, and measures the temperature distribution in the fire monitoring area, which is the area where the biomass fuel is piled up.

[0022] Specifically, the temperature sensor 20 divides the fire monitoring area into multiple pixels and measures the temperature of each of the multiple divided pixels, thereby detecting the temperature distribution in the fire monitoring area without contacting the biomass fuel.

[0023] 2 is an explanatory diagram of the monitoring range of temperature sensor 20 according to the first embodiment of the present disclosure. In FIGS. 2 and 3, a 7-pixel by 7-pixel area is defined as the monitoring range of temperature sensor 20, and temperature information is measured for each pixel. Furthermore, as summarized in the table of FIG. 2, the overall monitoring range of temperature sensor 20 and the monitoring area per pixel vary depending on the monitoring distance, which corresponds to the distance from temperature sensor 20 to the monitoring area.

[0024] 3 is an explanatory diagram showing an example of measurement results for each pixel of temperature sensor 20 according to the first embodiment of the present disclosure. Fig. 3 illustrates an example in which a pixel area where a temperature exceeding a preset deep fire determination threshold is measured as a result of measuring a 7 pixel x 7 pixel area as a monitoring range is extracted.

[0025] The water discharge equipment 30 is a fire extinguishing equipment for discharging water toward the identified deep fire location. The specific configuration will be described later with reference to FIG.

[0026] The control unit 40 is a controller that controls the CO sensor 10, the temperature sensor 20, and the water discharge equipment 30. The control unit 40 shown in FIG. 1 is configured to include a deep fire identification unit 41, a drive control unit 42, and a water discharge control unit 43.

[0027] The deep fire identification unit 41 identifies the location of a deep fire in the accumulated biomass fuel based on the detection results from the CO sensor 10 and the temperature sensor 20. Specifically, the deep fire identification unit 41 in the control unit 40 determines whether the carbon monoxide concentration detected by the CO sensor 10 exceeds a preset allowable concentration threshold.

[0028] If the carbon monoxide concentration in the building exceeds the allowable concentration threshold, the deep fire identification unit 41 estimates that a deep fire caused by biomass fuel may have occurred. In a state in which it is estimated that a deep fire has occurred, the deep fire identification unit 41 next determines whether or not there is a pixel region in the temperature distribution detected by the temperature sensor 20 in which temperature information exceeding a preset deep fire determination threshold is measured.

[0029] If there is a pixel area where temperature information exceeding the deep fire determination threshold is measured, the deep fire identification unit 41 identifies the pixel area as the deep fire location. The area shown in Figure 3 corresponds to the pixel area where the temperature exceeding the deep fire determination threshold is measured.

[0030] If it is not possible to obtain the temperature distribution over the entire range of the fire monitoring area using a single temperature sensor 20, it is possible to obtain the temperature distribution over the entire range of the fire monitoring area by moving a single temperature sensor 20 that normally remains stationary at a specific point above the biomass fuel piled up inside the building. In this case, depending on the size of the fire monitoring area, the temperature sensor 20 is moved on one axis, but it is also possible to move it on two axes that are perpendicular to each other.

[0031] In this way, when a drive mechanism for the temperature sensor 20 is provided, the drive control unit 42 in the control unit 40 controls the drive of the temperature sensor 20, thereby making it possible to obtain the temperature distribution over the entire range of the fire monitoring area.

[0032] When the temperature sensor 20 is moved by the drive control unit 42, the control unit 40 is capable of grasping the position of the temperature sensor 20 that has been moved within the building. In other words, the control unit 40 is configured to be able to read the coordinate values ​​when the drive control unit 42 controls the positioning of the temperature sensor 20 on the XY plane.

[0033] As a result, when the temperature sensor 20 detects a high temperature area, the control unit 40 can recognize the position of the temperature sensor 20 at specific coordinates in the X-axis and Y-axis directions of the building, and can determine where in the fire monitoring area a deep fire is occurring.

[0034] There is no particular limitation on the method for acquiring the position information of the temperature sensor 20 that can move within the building 1. For example, in the case where the temperature sensor 20 moves on rails 2 described below at predetermined intervals (for example, several meters), the movement distance from the wall side of the building 1 can be determined from the number of movements from the end of the rails 2, and the position information within the building 1 can be determined based on the number of movements.

[0035] In addition, if it is not possible to obtain the temperature distribution over the entire range of the fire monitoring area using one temperature sensor 20, it is possible to obtain the temperature distribution over the entire range of the fire monitoring area by placing multiple temperature sensors 20 instead of moving one temperature sensor 20.

[0036] However, acquiring the temperature distribution over the entire range of the fire monitoring area is not an essential requirement for the deep fire detection device according to the present disclosure. Even if the temperature sensor 20 is fixedly installed in a position suitable for monitoring deep fires, by performing a first-stage estimation based on carbon monoxide concentration and a second-stage estimation based on temperature distribution in a specific range of the fire monitoring area, it becomes possible to detect fires caused by accumulated biomass fuels, etc., which are difficult to detect with smoke sensors, flame sensors, etc., at an earlier stage of deep fires.

[0037] The water discharge control unit 43 executes water discharge using the water discharge equipment 30 toward the deep fire position identified by the deep fire identification unit 41. Fig. 4 is an explanatory diagram illustrating water discharge at the deep fire position using the water discharge equipment 30 in the first embodiment of the present disclosure.

[0038] 4, three water-discharge equipment 30 are provided on a wall surface within a building 1 that stores and preserves biomass fuel 50. When discharging water toward the position of a deep fire 51 identified by the deep fire identification unit 41, the water-discharge control unit 43 can perform control so that water is discharged in the direction of the deep fire 51 from the water-discharge equipment 30 that is closest to the position of the deep fire 51.

[0039] In addition, when discharging water toward the location of a deep fire 51 identified by the deep fire identification unit 41, the water discharge control unit 43 can also control the water to be discharged from the multiple water discharge equipment 30 after aligning each of the multiple water discharge equipment 30 so that it faces the location of the deep fire 51.

[0040] In this way, the water-discharge control unit 43 can carry out fire extinguishing using the desired water-discharge equipment 30 in the compartment corresponding to the location of the identified deep fire.

[0041] In practice, biomass fuel 50 is generally carried into and out of the building 1 by a wheel loader or the like through a loading / unloading entrance provided in the building. As the loading and unloading is repeated, the accumulated biomass fuel 50 forms a sloped pile surface on the loading / unloading entrance side. Furthermore, the shape of the sloped pile surface of the biomass fuel changes as the biomass fuel is carried in and out.

[0042] Taking into consideration such actual circumstances, a case where a plurality of temperature sensors 20 are arranged will be described in detail with reference to Fig. 5. Fig. 5 is an explanatory diagram showing a specific configuration example of a deep fire detection device according to the first embodiment of the present disclosure.

[0043] 5, a building 1 in which biomass fuel 50 is piled up and stored is provided with a loading / unloading entrance 1a for carrying in and out the biomass fuel 50. A CO sensor 10 is installed on the wall of the building 1, either on the downwind side or near the suction port of a dust collector or ventilation system (not shown). Depending on the size of the building 1, multiple CO sensors 10 may be installed, and each CO sensor 10 is installed in a location where it is easy to detect CO gas generated within the building 1, such as in the flow path of air flowing within the building 1.

[0044] In addition, examples of temperature sensors 20 include a first temperature sensor 21 located above the biomass fuel 50 piled up in the building 1 and a second temperature sensor 22 located on the loading / unloading entrance 1a side of the biomass fuel 50 piled up in the building 1.

[0045] The first temperature sensor 21 is configured to be movable within the building 1 along rails 2 provided on the ceiling of the building 1 above the biomass fuel 50 piled up within the building 1. Therefore, the movement of the first temperature sensor 21 is controlled by the drive control unit 42 within the control unit 40, making it possible to detect the temperature distribution in the fire monitoring area.

[0046] However, with regard to the pile-up slope surface on the loading / unloading entrance side, if a deep fire is to be detected using the first temperature sensor 21 installed above the biomass fuel 50, the distance from the first temperature sensor 21 to the pile-up slope surface will become greater.

[0047] As a result, as shown in Figure 2, the monitoring distance becomes longer, which increases the monitoring range per pixel, and only deep fires occurring in a larger area can be detected, which may result in a deterioration in detection sensitivity due to a deterioration in resolution. Therefore, a second temperature sensor 22 suitable for detecting deep fires on piled-up slopes can be used.

[0048] The second temperature sensor 22 has an angle adjustable so as to face the deposition inclined surface 50a, the shape of which changes as the biomass fuel is carried in and out, on the side of the loading / unloading entrance 1a for the deposited biomass fuel 50. Therefore, the second temperature sensor 22 can detect the temperature distribution in the area of ​​the deposition inclined surface 50a from a closer position than the first temperature sensor 21.

[0049] The angle of the second temperature sensor 22 may be adjusted manually or electrically as long as the operator can adjust the angle in accordance with changes in the shape of the deposition slope 50a. In addition to the angle adjustment mechanism, rails 2 may be provided on the wall of the building 1, as with the first temperature sensor 21, to allow the second temperature sensor 22 to be moved vertically or horizontally.

[0050] 5 illustrates two examples of deep fires, deep fire 51 and deep fire 52, that can occur at different positions in piled biomass fuel 50. The biomass fuel 50 at the top of deep fire 51 is piled up almost evenly relative to the first temperature sensor 21. Therefore, it is expected that an accurate temperature distribution of deep fire 51 can be obtained by moving the first temperature sensor 21 to an appropriate position.

[0051] However, when a deep fire 52 occurs in the area of ​​the accumulation slope 50a, the biomass fuel 50 above the deep fire 52 is not evenly accumulated relative to the first temperature sensor 21, and the accumulation amount changes rapidly. Furthermore, as described above, the distance from the first temperature sensor 21 to the deep fire 52 becomes long. Therefore, it may be difficult for the first temperature sensor 21 to accurately obtain the temperature distribution of the deep fire 52.

[0052] Therefore, for a deep fire 52 that has occurred in the area of ​​the accumulation slope 50a, it is expected that a more accurate temperature distribution can be obtained for the deep fire 52 by using a second temperature sensor 22 that is adjusted to face the accumulation slope 50a.

[0053] The operator can easily visually see the shape of the deposition inclined surface 50a, which changes as the biomass fuel 50 is transported in and out, and can also relatively easily adjust the angle of the second temperature sensor 22 so that it faces the deposition inclined surface 50a.

[0054] Finally, a series of processes executed by the deep fire detection device according to the first embodiment will be summarized. Fig. 6 is a flowchart relating to a series of processes executed by the deep fire detection device according to the first embodiment of the present disclosure. Steps S601 to S607 summarized in Fig. 6 are executed by the control unit 40.

[0055] In step S601, the control unit 40 acquires the current carbon monoxide concentration in the building 1 measured by the CO sensor 10 installed in the building 1. It is possible to install multiple CO sensors 10, and in this case, the control unit 40 can determine the highest value among the carbon monoxide concentrations measured by the multiple CO sensors 10 as the current carbon monoxide concentration in the building 1.

[0056] Next, in step S602, the control unit 40 determines whether or not the carbon monoxide concentration acquired in step S601 exceeds a tolerable concentration threshold value that is set in advance as an index for detecting a deep-seated fire.

[0057] If the determination is YES, the control unit 40 estimates that there is a possibility that a deep fire has occurred within the piled biomass fuel 50, and proceeds to the processing of step S603.

[0058] On the other hand, if the control unit 40 determines NO, it presumes that a deep fire has not occurred at the present time, and returns to the processing of step S601 again. Note that when returning to step S601 and acquiring the carbon monoxide concentration, the control unit 40 can perform this at a fixed sampling interval, but can also make the sampling interval variable depending on the value of the carbon monoxide concentration.

[0059] In other words, when the carbon monoxide concentration does not exceed the permissible concentration threshold, the control unit 40 can monitor the carbon monoxide concentration by shortening the sampling interval and increasing the acquisition frequency as the difference between the carbon monoxide concentration and the permissible concentration threshold becomes smaller and the carbon monoxide concentration becomes closer to the permissible concentration threshold.

[0060] When the process proceeds to step S603, the control unit 40 acquires the temperature distribution measured by the temperature sensor 20. Note that the temperature sensor 20 is normally kept inactive and activated when the carbon monoxide concentration exceeds the allowable concentration threshold, thereby enabling power saving.

[0061] In other words, when the control unit 40 can infer the occurrence of a deep fire from the detection results of the CO sensor 10, it can operate the temperature sensor 20 and acquire the temperature distribution to identify the location where the surface temperature is high from the top of the biomass fuel 50.

[0062] Furthermore, if the temperature sensor 20 is kept operating normally, the deep fire determination threshold is set to a value suitable for detecting fires on the surface of accumulated biomass fuel under normal circumstances, and when the carbon monoxide concentration exceeds the allowable concentration threshold, the deep fire determination threshold is set to a lower value, thereby increasing the fire detection sensitivity and enabling the location of a deep fire to be identified.

[0063] As shown in Fig. 5, the temperature sensor 20 can be a combination of a first temperature sensor 21 and a second temperature sensor 22. If the area monitored by one temperature sensor 20 cannot cover the entire fire monitoring area in the building 1, the first temperature sensor 21 can be made movable as shown in Fig. 5, thereby making it possible to obtain the temperature distribution of the entire fire monitoring area.

[0064] Next, in step S604, the control unit 40 sets a deep fire determination threshold value to be used for comparison with the temperature information of each pixel, depending on the carbon monoxide concentration value. Specifically, the control unit 40 determines that the higher the detected carbon monoxide concentration value, the higher the likelihood that a deep fire has occurred, and by adopting a lower value as the deep fire determination threshold value, the control unit 40 can more sensitively identify the location of a deep fire.

[0065] Next, in step S605, the control unit 40 determines whether or not there is a pixel area in the temperature distribution acquired in step S603 in which temperature information exceeding the deep fire determination threshold set in step S604 is measured.

[0066] If the determination is YES, the control unit 40 presumes that a deep fire has occurred, and proceeds to the processing of step S606.

[0067] On the other hand, if the control unit 40 determines NO, it presumes that a deep fire has not occurred at the present time, and returns to the processing of step S601 again. Note that the control unit 40 can also variably set the sampling interval when returning from step S605 to step S601 to acquire the carbon monoxide concentration.

[0068] When the process proceeds to step S606, the control unit 40 identifies the pixel area extracted in step S605 in which temperature information exceeding the deep fire determination threshold is measured as the deep fire position.

[0069] Next, in step S607, the control unit 40 controls the water discharge equipment 30 to discharge water toward the deep fire location identified in step S606, and then ends a series of operations.

[0070] As described above, according to the first embodiment, the detection results from the CO sensor and the temperature sensor are used together to identify the occurrence of a deep fire. Specifically, the occurrence of a deep fire is estimated at an early stage before the occurrence of the fire by detecting a carbon monoxide concentration exceeding the permissible concentration threshold, and then a pixel area showing a temperature distribution exceeding the deep fire determination threshold is identified as the location of the deep fire.

[0071] In this way, by performing the first stage of estimation based on carbon monoxide concentration and the second stage of estimation based on temperature distribution in stages, it becomes possible to accurately identify the location of deep fires in biomass fuels, which are difficult to detect using smoke sensors, flame sensors, etc. In other words, it becomes possible to detect fires in accumulated biomass fuels at an earlier stage of deep fires.

[0072] Although the present embodiment has been described with reference to a case where deep fires in biomass fuel piled up in a biomass warehouse are detected, this is not limiting. For example, any combustible material that can cause a deep fire can be used instead of biomass fuel. For example, coal at a coal site, garbage in a garbage pit, and piled-up cardboard boxes can also be subject to fire detection. In this case, the area where combustible materials such as coal and garbage are piled up is designated as the fire monitoring area.

[0073] Even with such combustible materials, a CO sensor and a temperature sensor are installed in the fire monitoring area where the combustible materials are piled up, and if the carbon monoxide concentration detected by the CO sensor exceeds a preset allowable concentration threshold, it is presumed that a deep fire has occurred due to the combustible materials.If, in a state where a deep fire is presumed to have occurred, the temperature sensor measures a temperature that exceeds a preset deep fire determination threshold, it is determined that a deep fire has occurred due to the piled up combustible materials.

[0074] Because the building is large, when the CO sensor detects a predetermined gas concentration, the temperature sensor is activated and moved around the building as needed to detect deep fires in combustible materials, but the mechanism for moving the temperature sensor can be omitted. In this case, a temperature sensor can be installed in each predetermined area of ​​the building, and multiple temperature sensors can be used to monitor the temperature of the combustible materials piled up inside the building. [Explanation of symbols]

[0075] 1 Building, 1a Loading / unloading entrance, 2 Rail, 10 CO sensor, 20 Temperature sensor, 21 First temperature sensor, 22 Second temperature sensor, 30 Water discharge equipment, 40 Control unit, 41 Deep fire identification unit, 42 Drive control unit, 43 Water discharge control unit, 50 Biomass fuel, 50a Deposition slope, 51 Deep fire, 52 Deep fire.

Claims

1. a CO sensor installed in a building storing combustible materials that may cause a deep-seated fire and configured to detect a carbon monoxide concentration in the building; a temperature sensor that detects the temperature in the fire monitoring area without contacting the combustible material by measuring the temperature in the fire monitoring area, the area in which the combustible material is piled up; a control unit that identifies a deep fire in the accumulated combustible material based on the detection results of the CO sensor and the temperature sensor; Equipped with The control unit When the carbon monoxide concentration detected by the CO sensor exceeds a predetermined allowable concentration threshold, it is estimated that a deep-seated fire caused by the combustible material has occurred, If the temperature sensor measures a temperature exceeding a preset deep fire determination threshold in a state where the deep fire is estimated to have occurred, it is determined that the deep fire has occurred in the accumulated combustible material. Deep fire detection device.

2. the temperature sensors include at least a first temperature sensor located above the combustible material piled up inside the building; the first temperature sensor is configured to be movable within the building above the combustible material piled up within the building, and by moving within the building, is capable of detecting a temperature distribution in the fire monitoring area; The control unit identifies a deep fire position based on the temperature distribution detected by the first temperature sensor. The deep fire detection device of claim 1 .

3. The temperature sensor further includes a second temperature sensor located on the side of an entrance / exit for the combustible material piled up inside the building, the second temperature sensor has an angle adjustable at the entrance / exit side of the piled combustible material so as to face a pile-up inclined surface that changes as the combustible material is carried in and out, and is capable of detecting a temperature distribution in the area of ​​the pile-up inclined surface; The control unit identifies the deep fire location based on the temperature distributions detected by the first temperature sensor and the second temperature sensor. The deep fire detection device of claim 2.

4. a CO sensor installed in a building that stores biomass fuel and that detects a carbon monoxide concentration in the building; a temperature sensor that detects the temperature distribution in the fire monitoring area without contacting the biomass fuel by dividing the area where the biomass fuel is piled into a plurality of pixels and measuring the temperature of each of the divided pixels, and a control unit that identifies a deep fire position in the accumulated biomass fuel based on the detection results of the CO sensor and the temperature sensor; Equipped with The control unit If the carbon monoxide concentration detected by the CO sensor exceeds a preset permissible concentration threshold, it is estimated that a deep-seated fire caused by the biomass fuel has occurred, In the state where the deep fire is estimated to have occurred, if there is a pixel area in which a temperature exceeding a preset deep fire determination threshold is measured in the temperature distribution detected by the temperature sensor, the pixel area is identified as the deep fire location. Deep fire detection device.

5. The temperature sensors include a first temperature sensor located above the biomass fuel piled up inside the building and a second temperature sensor located on the side of the entrance / exit for the biomass fuel piled up inside the building, the first temperature sensor is configured to be movable within the building above the biomass fuel piled within the building, and by moving within the building, is capable of detecting a temperature distribution in the fire monitoring area; the second temperature sensor is configured to be angle adjustable so as to face a deposition inclined surface at the loading / unloading side of the deposited biomass fuel, the deposition inclined surface changing with the loading / unloading of the biomass fuel, and is capable of detecting a temperature distribution in the area of ​​the deposition inclined surface; The control unit identifies the deep fire location based on the temperature distributions detected by the first temperature sensor and the second temperature sensor. The deep fire detection device of claim 4.

6. When the carbon monoxide concentration detected by the CO sensor exceeds the allowable concentration threshold, the control unit adopts a lower value as the deep fire determination threshold as the detected carbon monoxide concentration value increases, thereby identifying the deep fire position with high sensitivity. The deep fire detection device according to claim 4 or 5.

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