Estimation system, fire sensing system, estimation method, program, and sensor

Abstract

The present disclosure addresses the problem of outputting appropriate information when a fire occurs.　An estimation system (2) comprises an acquisition unit (241), an estimation unit (242), and an output unit (243). The acquisition unit (241) acquires, from a sensor (1) that has sensed a fire, first actual measurement data indicating a temperature transition that is a transition of the temperature of air detected by the sensor (1), and second actual measurement data indicating a concentration transition that is a transition of at least one of the concentration of smoke detected by the sensor (1) and the concentration of gas detected by the sensor (1). The estimation unit (242) compares the first actual measurement data and the second actual measurement data with a plurality of results of simulating the temperature transition and the concentration transition corresponding to a plurality of combustion patterns, and estimates a specific combustion pattern occurring in the fire from among the plurality of combustion patterns. The output unit (243) outputs information corresponding to the specific combustion pattern estimated by the estimation unit (242).

Description

Estimation system, fire detection system, estimation method, program, and detector

[0001] The present disclosure relates to an estimation system, a fire detection system, an estimation method, a program, and a detector, and more particularly to an estimation system, a fire detection system, an estimation method, a program, and a detector that estimate the occurrence state of a fire.

[0002] 2. Description of the Related Art Conventionally, a fire alarm system is known that includes a plurality of analog sensors installed in a monitored area.

[0003] In a fire alarm system such as that described in Patent Document 1, there is a demand for outputting appropriate information when a fire occurs.

[0004] Japanese Patent Application Laid-Open No. 2023-161638

[0005] The present disclosure has been made in consideration of the above-mentioned reasons, and aims to provide an estimation system, a fire detection system, an estimation method, a program, and a detector that can output appropriate information when a fire occurs.

[0006] An estimation system according to one aspect of the present disclosure includes an acquisition unit, an estimation unit, and an output unit. The acquisition unit acquires, from a detector that has detected a fire, first measured data indicating a temperature transition, which is a transition of the air temperature detected by the detector, and second measured data indicating a concentration transition, which is a transition of at least one of the smoke concentration detected by the detector and the gas concentration detected by the detector. The estimation unit compares the first measured data and the second measured data with multiple simulation results of the temperature transition and the concentration transition corresponding to multiple combustion patterns, and estimates a specific combustion pattern occurring in the fire from the multiple combustion patterns. The output unit outputs information corresponding to the specific combustion pattern estimated by the estimation unit.

[0007] A fire detection system according to one aspect of the present disclosure includes the estimation system and the detector.

[0008] An estimation method according to one aspect of the present disclosure includes an acquisition step, an estimation step, and an output step. In the acquisition step, first actual measurement data indicating a temperature transition, which is a transition of air temperature detected by a detector that has detected a fire, and second actual measurement data indicating a concentration transition, which is a transition of at least one of the smoke concentration detected by the detector and the gas concentration detected by the detector, are acquired from the detector. In the estimation step, the first actual measurement data and the second actual measurement data are compared with multiple simulation results of the temperature transition and the concentration transition corresponding to multiple combustion patterns, and a specific combustion pattern occurring in the fire is estimated from the multiple combustion patterns. In the output step, information corresponding to the specific combustion pattern estimated in the estimation step is output.

[0009] A program according to one aspect of the present disclosure is a program for causing one or more processors to execute the estimation method.

[0010] A detector according to one aspect of the present disclosure is a detector included in the fire detection system.

[0011] FIG. 1 is a block diagram of a fire detection system according to an embodiment of the present disclosure. FIG. 2 is an external perspective view of a detector included in the fire detection system. FIG. 3 is an exploded perspective view of a detector included in the fire detection system. FIG. 4 is a flowchart for explaining the operation of the fire detection system. FIG. 5 is a schematic top view of a target space in which the fire detection system is installed. FIG. 6 is a graph showing actual measurement data of temperature transitions, for which an estimation unit included in the fire detection system calculates a degree of similarity, and simulation results of the temperature transitions. FIG. 7 is a graph showing actual measurement data of smoke concentration transitions, for which an estimation unit included in the fire detection system calculates a degree of similarity, and simulation results of the smoke concentration transitions. FIG. 8 is a graph showing actual measurement data of gas concentration transitions, for which an estimation unit included in the fire detection system calculates a degree of similarity, and simulation results of the gas concentration transitions. FIG. 9 is a graph showing actual measurement data of temperature transitions, for which an estimation unit included in the fire detection system calculates a degree of similarity, and simulation results of the temperature transitions. 10 is a graph showing actual measurement data of the transition of smoke concentration, which is the object of calculation of the degree of coincidence by the estimation unit of the fire detection system, and a simulation result of the transition of smoke concentration. FIG. 11 is a graph showing actual measurement data of the transition of gas concentration, which is the object of calculation of the degree of coincidence by the estimation unit of the fire detection system, and a simulation result of the transition of gas concentration.

[0012] A fire detection system 100 according to an embodiment of the present disclosure will be described in detail with reference to the drawings. Note that the embodiment and modified examples described below are merely examples of the present disclosure, and the present disclosure is not limited to the embodiment and modified examples. Various modifications other than the embodiment and modified examples are possible depending on the design, etc., as long as they do not deviate from the technical concept of the present disclosure. Furthermore, the following embodiments (including modified examples) may be realized in appropriate combinations.

[0013] (1) Overview As shown in FIG. 1 , a fire detection system 100 according to this embodiment includes an estimation system 2 and a detector 1 .

[0014] The estimation system 2 includes an acquisition unit 241 , an estimation unit 242 , and an output unit 243 .

[0015] The acquisition unit 241 acquires first and second actual measurement data from the detector 1. The first actual measurement data is data indicating a temperature transition, which is a transition in the air temperature detected by the detector 1 that has detected a fire. The second actual measurement data indicates a concentration transition, which is a transition in at least one of the smoke concentration and the gas concentration detected by the detector 1.

[0016] The estimation unit 242 compares the first and second measured data with multiple simulation results of temperature and concentration trends corresponding to multiple combustion patterns, and estimates a specific combustion pattern occurring in the fire from among the multiple combustion patterns.

[0017] The output unit 243 outputs information corresponding to the specific combustion pattern estimated by the estimation unit 242 .

[0018] Here, the "burning pattern" refers to the burning state of the object 4 (see FIG. 5) which is the source of the fire and which changes depending on the material of the object 4 and the environment around the object 4.

[0019] According to the above configuration, it is possible to estimate the combustion pattern occurring in a fire detected by a detector. Also, it is possible to output appropriate information according to the combustion pattern occurring in a fire detected by a detector. In other words, it is possible to output appropriate information when a fire occurs.

[0020] (2) Details The fire detection system 100 will be described in detail below with reference to the drawings.

[0021] The fire detection system 100 is used to detect the occurrence of a fire in a target space F2 (see FIGS. 1 and 5 ) and output information corresponding to a specific combustion pattern occurring in the fire. Note that, in this disclosure, "fire" is not limited to a phenomenon accompanied by ignition, but also includes a precursory phenomenon to ignition. The target space F2 is a target space for determining the presence or absence of a fire, for example, in a non-residential or residential facility F1. In the following embodiment, a case will be described in which the facility F1 is, for example, an office building having multiple floors, and the target space F2 is one of the multiple floors of the facility F1.

[0022] (2.1) Configuration The fire detection system 100 includes a plurality of detectors 1, an estimation system 2, and an alarm system 3.

[0023] (2.1.1) Detectors As shown in FIG. 2, a plurality of detectors 1 are arranged on a construction material C1 such as the ceiling of the target space F2.

[0024] As shown in Figures 1 to 3, the detector 1 includes a housing 10, a smoke detection unit 11, a gas detection unit 12, a base 13, multiple temperature detection units 14, a control unit 15, a communication unit 16, a display unit 17, flow path forming members 8 and 18, and a memory unit 19.

[0025] The housing 10 houses a smoke detection unit 11, a gas detection unit 12, a base 13, multiple temperature detection units 14, a control unit 15, a communication unit 16, a display unit 17, flow path forming members 8, 18, and a memory unit 19 inside.

[0026] The housing 10 is made of synthetic resin, for example, flame-retardant ABS resin. The housing 10 is formed into a cylindrical shape that is flat in the vertical direction as a whole. As shown in FIG. 3 , the housing 10 has a cylindrical lower cover 101 with one open surface (the upper surface in the illustrated example) and a substantially disk-shaped upper cover 102. The housing 10 is constructed by assembling the upper cover 102 to the lower cover 101 from the open surface side. The upper cover 102 is arranged to cover the smoke detection unit 11 from above. The lower cover 101 is arranged below the base 13.

[0027] The housing 10 also has a plurality of (six in this embodiment) openings 103 (horizontal holes) that connect the internal space of the housing 10 with the external space. Here, the plurality of openings 103 are provided in the lower cover 101.

[0028] The smoke detection unit 11 is disposed in the center of the internal space of the housing 10 and is configured to detect smoke. The smoke detection unit 11 is disposed above the base 13 via a flow path forming member 18, which will be described later. The smoke detection unit 11 is, for example, a photoelectric sensor that detects smoke, and in particular, a scattered light sensor. The smoke detection unit 11 detects smoke guided by the flow path forming member 18, which is made of, for example, flame-retardant ABS resin.

[0029] The smoke detection unit 11 includes a housing 110, an optical element that emits light, a light-receiving element that receives the light emitted from the optical element, and a labyrinth portion. The housing 110 is formed in a flat, approximately cylindrical shape and houses the optical element, the light-receiving element, and the labyrinth portion inside. The optical element is, for example, a light-emitting diode (LED). The light-receiving element is, for example, a photodiode.

[0030] The housing 110 has a plurality of inlets 111 that allow smoke to flow into the labyrinth portion. Smoke flows into the labyrinth portion through the inlets 111. Each inlet 111 has a substantially rectangular opening when viewed from the front. The multiple inlets 111 are arranged side by side along the circumferential direction of the smoke detection unit 11 (housing 110). In this embodiment, the circumferential direction of the smoke detection unit 11 coincides with the circumferential direction of the sensor 1.

[0031] The optical element and the light-receiving element are arranged in the labyrinth portion so as not to face each other. In the event of a fire or the like, smoke generated by the fire can enter the housing 10 through the opening 103 of the housing 10 and then be introduced into the labyrinth portion through the inlet 111. When there is no smoke in the labyrinth portion, almost no light emitted from the optical element reaches the light-receiving surface of the light-receiving element. On the other hand, when smoke is present in the labyrinth portion, the light emitted from the optical element is scattered by the smoke, and some of the scattered light reaches the light-receiving surface of the light-receiving element. In other words, the smoke detection unit 11 receives the light emitted from the optical element that has been scattered by the smoke with the light-receiving element.

[0032] The smoke detection unit 11 is electrically connected to a control unit 15 mounted on the base 13. The smoke detection unit 11 transmits to the control unit 15 an electrical signal (detection signal) indicating the density of the detected smoke.

[0033] The gas detection unit 12 is installed, for example, on the lower surface of the upper cover 102 of the housing 10 .

[0034] The gas detection unit 12 detects the concentration of a specific gas contained in the gas flowing in from the opening 103. In this embodiment, the specific gas whose concentration is detected by the gas detection unit 12 is carbon monoxide gas, thereby improving safety.

[0035] The gas detection unit 12 is, for example, an electrochemical sensor comprising a sensing electrode equipped with a catalyst, a counter electrode facing the sensing electrode, and an ion conductor sandwiched between the sensing electrode and the counter electrode. This sensor is configured so that charge transfer occurs between the sensing electrode and the counter electrode when water vapor and carbon monoxide in the air react with the catalyst in the sensing electrode.

[0036] The gas detection unit 12 is electrically connected to a control unit 15 mounted on the base 13. The gas detection unit 12 transmits to the control unit 15 an electrical signal (detection signal) indicating the concentration of the detected gas.

[0037] The base 13 is a circuit board formed in a substantially circular shape as shown in Fig. 3. The base 13 is, for example, a printed wiring board on which a conductor pattern wiring is provided.

[0038] The base 13 is equipped with a plurality of (six in this embodiment) temperature detection units 14, a communication unit 16, a display unit 17, a control unit 15, and a storage unit 19.

[0039] The six temperature detection units 14 are mounted at equal intervals in the circumferential direction on the peripheral edge of the base 13. The six temperature detection units 14 are arranged around the smoke detection unit 11 when viewed from above and below.

[0040] The temperature detection units 14 include temperature detection elements such as chip thermistors that detect the temperature of the gas (air in the target space F2) that flows in through the openings 103. The six temperature detection units 14 are arranged to face different openings 103 from one another.

[0041] The temperature detection units 14 are electrically connected to the control unit 15. Each temperature detection unit 14 outputs to the control unit 15 an electrical signal (detection signal) indicating the detected temperature.

[0042] The communication unit 16 is configured to be able to communicate with the estimation system 2. In this disclosure, "capable of communication" means being able to exchange information directly or indirectly via the repeater R1 or the internal network NT1 using an appropriate communication method, such as wired or wireless communication. The internal network NT1 is a network such as a local area network (LAN) provided within the facility F1. In this embodiment, the communication unit 16 communicates with the repeater R1 using a wireless communication method, and with the estimation system 2 via the repeater R1 and the internal network NT1. In this embodiment, the communication unit 16 employs wireless communication using radio waves as a communication medium, in compliance with standards such as Wi-Fi (registered trademark), Bluetooth (registered trademark), ZigBee (registered trademark), or unlicensed low-power radio (specified low-power radio).

[0043] In this embodiment, multiple sensors 1 communicate with the estimation system 2, but one of the multiple sensors 1 may be used as a parent device that communicates with the estimation system 2, and the sensors 1 other than the parent device may communicate with the estimation system 2 via the parent device.

[0044] The display unit 17 includes a light source and a lighting circuit for lighting the light source. Under normal circumstances (when monitoring for a fire), the display unit 17 turns off the light source under the control of the control unit 15. In the event of a fire, the display unit 17 starts flashing or lighting the light source under the control of the control unit 15.

[0045] The control unit 15 can be realized by, for example, a computer system including one or more processors (microprocessors) and one or more memories. That is, the one or more processors execute one or more programs stored in one or more memories to function as the control unit 15. Here, the programs are pre-recorded in the memory of the control unit 15, but they may also be provided via a telecommunications line such as the Internet or by being recorded on a non-transitory recording medium such as a memory card.

[0046] The control unit 15 has an acquisition unit 151, a determination unit 152, a display control unit 153, and a signal generation unit 154. Note that these merely indicate functions realized by the control unit 15, and do not necessarily indicate actual configurations.

[0047] The acquisition unit 151 periodically acquires the temperatures detected by the plurality of temperature detection units 14 , the smoke concentration detected by the smoke detection unit 11 , and the gas concentration detected by the gas detection unit 12 .

[0048] The determination unit 152 periodically determines whether or not a fire has occurred based on the temperatures acquired by the acquisition unit 151 from the plurality of temperature detection units 14, the smoke concentration acquired from the smoke detection unit 11, and the gas concentration acquired from the gas detection unit 12. The determination unit 152 determines whether or not a fire has occurred, for example, every time the acquisition unit 151 acquires data on the temperature, smoke concentration, and gas concentration from the plurality of temperature detection units 14, the smoke detection unit 11, and the gas detection unit 12, respectively. In other words, the determination unit 152 periodically determines whether or not a fire has occurred.

[0049] More specifically, the determination unit 152 compares the temperatures acquired from the temperature detection units 14 with a temperature threshold (temperature threshold). The determination unit 152 also compares the smoke concentration acquired from the smoke detection unit 11 with a smoke concentration threshold (smoke threshold). The determination unit 152 also compares the gas concentration acquired from the gas detection unit 12 with a gas concentration threshold (gas threshold).

[0050] The judgment unit 152 judges that a fire has occurred in at least one of the following cases: when the temperature acquired from the multiple temperature detection units 14 exceeds a temperature threshold; when the smoke concentration acquired from the smoke detection unit 11 exceeds a smoke threshold; and when the gas concentration acquired from the gas detection unit 12 exceeds a gas threshold.

[0051] When the determination unit 152 determines that a fire has occurred, the display control unit 153 controls the lighting circuit of the display unit 17 to blink or light the light source of the display unit 17 .

[0052] Furthermore, when the determination unit 152 determines that a fire has occurred, the signal generation unit 154 generates a signal (fire occurrence signal) notifying the occurrence of a fire, and transmits it to the estimation system 2 via the communication unit 16 .

[0053] The storage unit 19 is configured with a device selected from a ROM (Read Only Memory), a RAM (Random Access Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory), etc. The storage unit 19 stores a unique identification ID of the detector 1, a temperature threshold, a smoke threshold, a gas threshold, etc. that are used by the control unit 15 to determine whether a fire has occurred.

[0054] (2.1.2) Estimation System The estimation system 2 is realized by, for example, a server device.

[0055] The estimation system 2 includes a first communication unit 21 , a second communication unit 22 , a storage unit 23 , and a control unit 24 .

[0056] The first communication unit 21 is configured to be able to communicate with the plurality of sensors 1 via the internal network NT1 and the repeater R1. Note that the identification IDs of the plurality of sensors 1 placed in the target space F2 are registered in advance in the storage unit 19 of the estimation system 2, and the first communication unit 21 communicates with each sensor 1 using the identification ID registered in the storage unit 19.

[0057] The second communication unit 22 is configured to be able to communicate with the notification system 3, which will be described later.

[0058] In this embodiment, the second communication unit 22 and the notification system 3 communicate indirectly via the external network NT2.

[0059] The storage unit 23 is configured by a device selected from a ROM, a RAM, an EEPROM, etc. The storage unit 23 stores the identification IDs of the multiple sensors 1, etc.

[0060] The memory unit 23 also stores a list of multiple sensors 1 in the target space F2 (a sensor list) and a list of objects 4, such as fixtures, placed in the target space F2 (a placed object list). The sensor list is a list linking information about each sensor 1 (such as the name and identification ID of each sensor 1) with the area in which each sensor 1 is placed within the target space F2, which is divided into multiple areas. The placed object list is a list linking, for example, the name of an object 4 placed in the target space F2 with the area in which the object 4 is placed within the target space F2 and the main material of the object 4. The memory unit 23 also stores electronic map information indicating the placement of the multiple sensors 1 and objects 4 within the target space F2. In other words, the memory unit 23 stores the placed object list and map information, which include placement information about the objects 4 within the target space F2 and material information about the material of the objects 4.

[0061] Furthermore, the memory unit 23 stores a plurality of simulation results regarding the transition of air temperature, the transition of smoke concentration, and the transition of gas concentration. More specifically, the memory unit 23 stores a plurality of simulation results regarding the transition of air temperature, the transition of smoke concentration, and the transition of gas concentration during a predetermined time Ts. Simulations (computer simulations) of the transition of air temperature, the transition of smoke concentration, and the transition of gas concentration are performed in advance using fluid analysis software or the like, and the simulation results are stored in the memory unit 23.

[0062] Here, the multiple simulation results correspond to multiple (three in this embodiment) combustion patterns (first to third patterns) that are predicted to occur in a fire. That is, in this embodiment, the storage unit 23 stores three simulation results (first to third simulation results) corresponding to the first to third patterns, respectively. Each simulation result indicates the transition of air temperature, transition of smoke concentration, and transition of gas concentration when each combustion pattern is reproduced using fluid analysis software or the like.

[0063] In this embodiment, the three combustion patterns are a first pattern corresponding to the combustion of wood accompanied by the generation of a flame, a second pattern corresponding to the combustion of wood without the generation of a flame (smoldering), and a third pattern corresponding to the combustion of synthetic resin. That is, the three combustion patterns include the first pattern accompanied by the generation of a flame and the second pattern without the generation of a flame. The three combustion patterns also include multiple (two in this embodiment) combustion patterns corresponding to the combustion of different materials. Specifically, the three combustion patterns include the first and second patterns corresponding to the combustion of wood, and the third pattern corresponding to the combustion of synthetic resin. The multiple combustion patterns may also include other combustion patterns (such as a combustion pattern corresponding to the combustion of cotton and a combustion pattern corresponding to the combustion of decalin).

[0064] The control unit 24 can be realized by, for example, a computer system including one or more processors (microprocessors) and one or more memories. That is, the one or more processors execute one or more programs stored in one or more memories to function as the control unit 24. Here, the programs are pre-recorded in the memory of the control unit 24 or in the storage unit 23, but they may also be provided via a telecommunications line such as the Internet or by being recorded on a non-transitory recording medium such as a memory card.

[0065] 1, the control unit 24 has an acquisition unit 241, an estimation unit 242, an output unit 243, and an update unit 244. Note that these merely indicate functions realized by the control unit 24 and do not necessarily indicate actual configurations.

[0066] The acquisition unit 241 acquires first measurement data indicating a temperature transition, which is a transition of the air temperature detected by the detector 1 that detected a fire in the target space F2, from the detector 1. The acquisition unit 241 also acquires second measurement data from the detector 1 indicating a transition of the smoke concentration detected by the detector 1 and a transition of the gas concentration detected by the detector 1.

[0067] The estimation unit 242 compares the first and second actual measurement data acquired by the acquisition unit 241 with a plurality of simulation results corresponding to a plurality of combustion patterns, and estimates a specific combustion pattern occurring in the fire in the target space F2 from among the plurality of combustion patterns. Each of the plurality of simulation results is a simulation result of the transition of air temperature, the transition of smoke concentration, and the transition of gas concentration.

[0068] The output unit 243 outputs information corresponding to the specific combustion pattern estimated by the estimation unit 242 .

[0069] The update unit 244 will be described in "(2.2) Example of operation of fire detection system."

[0070] (2.1.3) Notification System The notification system 3 is configured to notify information output by the output unit 243 of the estimation system 2.

[0071] The notification system 3 includes, for example, a display device 31 and an audio output device 32 .

[0072] The display device 31 is, for example, a display device provided within the facility F1. The display device 31 is configured to be able to communicate with the estimation system 2 via the external network NT2. The display device 31 displays an image corresponding to information output by the output unit 243 of the estimation system 2.

[0073] The audio output device 32 is, for example, a speaker device provided within the facility F1. The audio output device 32 is configured to be able to communicate with the estimation system 2 via the external network NT2. The audio output device 32 outputs audio corresponding to the information output by the output unit 243 of the estimation system 2.

[0074] (2.2) Example of Operation of Fire Detection System An example of operation of the fire detection system 100 will be described below with reference to the flowchart of Fig. 4 and Figs. 5 to 11. Note that the flowchart shown in Fig. 4 is merely an example of the sign determination method according to this embodiment, and the order of the processes may be changed as appropriate, and processes may be added or omitted as appropriate.

[0075] As shown in FIG. 5, the target space F2 includes an office area AR1 and a conference area AR2.

[0076] A plurality of objects 4 are placed in the office area AR1. Specifically, a first document shelf 40 and first to eighth office desks 41 to 48 are placed in the office area AR1. In this operation example, the first document shelf 40 is made of metal, and paper made from wood is stored inside the first document shelf 40. Furthermore, the first to eighth office desks 41 to 48 are made of synthetic resin.

[0077] Furthermore, multiple objects 4 are placed in the conference area AR2. Specifically, a second document shelf 50 and a conference desk 51 are placed in the conference area AR2. In this operation example, the second document shelf 50 is made of metal, and paper made of wood is stored inside the second document shelf 50. The conference desk 51 is made of synthetic resin.

[0078] The office area AR1 and the conference area AR2 are separated by a simple wall W1. An air vent is installed above the wall W1 to spatially connect the office area AR1 and the conference area AR2. In other words, air, smoke, and gas can move between the office area AR1 and the conference area AR2 through the air vent installed above the wall W1.

[0079] One detector 1 is installed on the ceiling of each of the office area AR1 and the conference area AR2. In other words, two detectors 1 are installed on the ceiling of the target space F2. In the following description, the detector 1 installed in the office area AR1 is referred to as the first detector 1A, and the detector 1 installed in the conference area AR2 is referred to as the second detector 1B. As shown in FIG. 5 , the first detector 1A and the second detector 1B are installed adjacent to each other. Furthermore, in a top view, the third desk 43, the first document shelf 40, and a portion of the conference desk 51 are located between the adjacent first detector 1A and second detector 1B. Electronic map information indicating the layout of the first detector 1A, the second detector 1B, the first document shelf 40, the first desks 41 to 48, the second document shelf 50, and the conference desk 51 in the target space F2 is stored in the memory unit 23.

[0080] (2.2.1) First Operation Example A first operation example of the fire detection system 100 will be described below.

[0081] First, at a certain point in time (first point in time), the acquisition unit 151 included in each detector 1 acquires the temperatures detected by the plurality of temperature detection units 14, the smoke concentration detected by the smoke detection unit 11, and the gas concentration detected by the gas detection unit 12. Also, at the first point in time, the determination unit 152 included in each detector 1 determines whether or not a fire has occurred based on the temperatures, smoke concentration, and gas concentration acquired by the acquisition unit 151 included in each detector 1.

[0082] Here, assume that second detector 1B installed in conference area AR2 detects the outbreak of a fire at time point 1. When signal generating unit 154 of second detector 1B detects a fire, it transmits a fire occurrence signal indicating that a fire has been detected to first communication unit 21 of estimation system 2.

[0083] When the first communication unit 21 receives a fire occurrence signal, the acquisition unit 241 of the estimation system 2 begins acquiring the temperatures detected by the multiple temperature detection units 14 of the second detector 1B, the smoke concentration detected by the smoke detection unit 11, and the gas concentration detected by the gas detection unit 12.

[0084] The acquisition unit 241 stores the acquired temperatures detected by the plurality of temperature detection units 14, the smoke concentration detected by the smoke detection unit 11, and the gas concentration detected by the gas detection unit 12 in chronological order in the memory unit 23. Here, the memory unit 23 stores, for example, the average temperature of the temperatures detected by the plurality of temperature detection units 14. Note that the memory unit 23 may also store the highest temperature among the temperatures detected by the plurality of temperature detection units 14.

[0085] That is, the acquisition unit 241 acquires, from the second detector 1B, first actual measurement data indicating a change in air temperature detected by the second detector 1B that detected a fire in the target space F2, and second actual measurement data indicating a change in smoke concentration detected by the second detector 1B and a change in gas concentration detected by the second detector 1B (step ST1). The acquisition unit 241 acquires the first data and the second data from the first point in time to a second point in time at which a predetermined time Ts has elapsed.

[0086] Next, the estimation unit 242 compares the actual measurement data (first actual measurement data and second actual measurement data) with the three simulation results (first simulation result to third simulation result) corresponding to the first to third patterns, and estimates the specific combustion pattern occurring in the fire detected by the second detector 1B from among the first to third patterns (step ST2).

[0087] Specifically, the estimation unit 242 calculates the degree of agreement between the actual measurement data and the three simulation results, and estimates the combustion pattern corresponding to the simulation result with the highest degree of agreement as the specific combustion pattern. For example, the degree of agreement is calculated using an algorithm that uses a comparison result obtained by comparing the difference between the actual measurement data and each simulation result with a preset threshold. The difference here refers to the difference between the actual measured values ​​of the air temperature transition, smoke concentration transition, and gas concentration transition included in the actual measurement data and the calculated values ​​of the air temperature transition, smoke concentration transition, and gas concentration transition included in each simulation result. The calculation of the degree of agreement is not limited to the above algorithm, and various existing algorithms may be used.

[0088] Here, as an example, let us assume that the estimation unit 242 has determined that the degree of agreement between the actual measurement data and the first simulation results is the highest and that the specific combustion pattern is the first pattern corresponding to the combustion of wood accompanied by the generation of flames. The actual measurement data and the first simulation results in this case are illustrated in Figures 6 to 8. The horizontal axes in Figures 6 to 8 indicate the elapsed time from the first point in time. In Figure 6, the actual measured values ​​of the change in air temperature are shown with a solid line, and the calculated values ​​of the change in air temperature are shown with a dotted line. Furthermore, in Figure 7, the actual measured values ​​of the change in smoke concentration are shown with a solid line, and the calculated values ​​of the change in smoke concentration are shown with a dotted line. Furthermore, in Figure 8, the actual measured values ​​of the change in gas concentration are shown with a solid line, and the calculated values ​​of the change in gas concentration are shown with a dotted line.

[0089] After estimating the specific combustion pattern, the estimation unit 242 further estimates the source of the fire based on the estimated specific combustion pattern (first pattern), the location information of the object 4 in the target space F2 in which the second sensor 1B is installed, and the material information on the material of the object 4 placed in the target space F2 (step ST3). The estimation of the source of the fire by the estimation unit 242 will be described in detail below.

[0090] First, the estimation unit 242 reads out the detector list stored in the memory unit 23. As described above, the detector list is a list linking the first detector 11 and the second detector 12 with the areas in which the first detector 11 and the second detector 12 are placed within the target space F2, which is divided into the office area AR1 and the conference area AR2. The detector list in this operation example is shown in Table 1.

[0091]

[0092] When the estimation unit 242 reads out the detector list, it selects the conference area AR2 where the second detector 12 is located from the detector list as an area where the source of a fire is likely to exist.

[0093] Next, the estimation unit 242 reads out the arranged object list stored in the memory unit 23. As described above, the arranged object list is a list that links the name of the object 4 to be arranged in the target space F2, the area (arrangement area) in which the object 4 is arranged in the target space F2, and the main material of the object 4. In other words, the arranged object list includes arrangement information of the object 4 in the target space F2 and material information regarding the material of the object 4 to be arranged in the target space F2. The arranged object list in this operation example is shown in Table 2. In this operation example, the first and second book shelves 40 and 50 contain paper made from wood. Therefore, the arranged object list shown in Table 2 indicates that the main material of the first and second book shelves 40 and 50 is wood. Note that the arranged object list, including the arrangement information of the object 4, is updated each time the object 4 is moved in the target space F2. In addition, the map information, including the arrangement information of the object 4, is also updated each time the object 4 is moved in the target space F2. Specifically, for example, when the second communication unit 22 receives an external signal transmitted from a communication terminal (such as a smartphone or tablet terminal) configured to be able to communicate with the estimation system 2, the update unit 244 updates the placed object list and the map information. The external signal includes layout information of the target space F2 after the object 4 has been moved. This makes it possible to keep the placed object list and the map information up to date.

[0094]

[0095] When the estimation unit 242 reads out the arranged object list, it selects the conference desk 51 and the second material shelf 50 arranged in the conference area AR2 from the arranged object list as candidates for the source of the fire.

[0096] Next, the estimation unit 242 estimates that the second document shelf 50, which is made of wood corresponding to the first pattern, which is a specific combustion pattern, out of the conference desk 51 and the second document shelf 50, is the source of the fire detected by the second detector 1B.

[0097] In other words, the estimation unit 242 estimates that the fire originated in the second material shelf 50 installed in the conference area AR2, and that a first pattern fire corresponding to the combustion of wood accompanied by the generation of flames has occurred.

[0098] When the estimation unit 242 estimates the specific combustion pattern and source of the fire, the output unit 243 generates information corresponding to the first pattern, which is the specific combustion pattern. Specifically, the output unit 243 generates evacuation request information that urges people present in the facility F1 to evacuate. The evacuation request information includes a character string (e.g., "Please evacuate") for urging people present in the facility F1 to evacuate. The evacuation request information also includes a voice (e.g., "Please evacuate") for urging people present in the facility F1 to evacuate. The evacuation request information may also include information indicating the source of the fire.

[0099] The output unit 243 outputs the evacuation request information to the display device 31 and the audio output device 32 via the second communication unit 22 (step ST4).

[0100] When the display device 31 receives the evacuation request information, it displays the character string (such as "Please evacuate") included in the evacuation request information. When the audio output device 32 receives the evacuation request information, it outputs the audio (such as "Please evacuate") included in the evacuation request information. This makes it possible to urge people present in the facility F1 to evacuate from the facility F1.

[0101] If the evacuation request information includes information indicating the source of the fire, the display device 31 displays image information (e.g., an icon shown on a map) indicating the source of the fire. If the evacuation request information includes information regarding the source of the fire, the audio output device 32 outputs audio information indicating the source of the fire (e.g., the floor number of the target space F2 where the fire originated). This allows people in the facility F1 to be notified of the source of the fire.

[0102] (2.2.2) Second Operation Example The following describes a second operation example of the fire detection system 100. Note that in the following description, descriptions of operations common to the first operation example will be omitted as appropriate.

[0103] In the second operation example, in estimating the specific combustion pattern (step ST2), the estimation unit 242 estimates that the degree of agreement between the actual measurement data and the second simulation results is the highest, and that the specific combustion pattern is the second pattern corresponding to smoldering of wood without the generation of flames. The actual measurement data and the second simulation results for this case are shown in Figures 9 to 11. The horizontal axes in Figures 9 to 11 represent the elapsed time from the first point in time. In Figure 9, the actual measured values ​​of the air temperature transition are shown with a solid line, and the calculated values ​​of the air temperature transition are shown with a dotted line. Furthermore, in Figure 10, the actual measured values ​​of the smoke concentration transition are shown with a solid line, and the calculated values ​​of the smoke concentration transition are shown with a dotted line. Furthermore, in Figure 11, the actual measured values ​​of the gas concentration transition are shown with a solid line, and the calculated values ​​of the gas concentration transition are shown with a dotted line.

[0104] After estimating the specific combustion pattern, the estimation unit 242 further estimates the source of the fire based on the estimated specific combustion pattern (second pattern), the location information of the object 4 in the target space F2 where the second sensor 1B is installed, and material information about the material of the object 4 placed in the target space F2 (step ST3). Specifically, the estimation unit 242 selects the conference area where the second sensor 12 is placed from the sensor list (see Table 1) as an area where the source of the fire is likely to be present. Furthermore, the estimation unit 242 selects the conference desk 51 and the second document shelf 50 placed in the conference area AR2 from the placed object list (see Table 2) as candidates for the source of the fire. Furthermore, the estimation unit 242 estimates that the second document shelf 50, which is made of wood and corresponds to the second pattern, which is a specific combustion pattern, is the source of the fire detected by the second sensor 1B.

[0105] In other words, the estimation unit 242 estimates that the source of the fire is the second material shelf 50 installed in the conference area AR2, and that a second pattern fire has occurred, which corresponds to the smoldering of wood without the generation of flames.

[0106] When the estimation unit 242 estimates the specific combustion pattern and source of the fire, the output unit 243 generates information corresponding to the second pattern, which is the specific combustion pattern. Specifically, the output unit 243 generates suction avoidance information that prompts people present in the facility F1 to avoid inhaling at least one of the smoke and the gas. The suction avoidance information includes text (e.g., "Please keep low") for prompting people present in the facility F1 to avoid inhaling at least one of the smoke and the gas. The suction avoidance information also includes audio (e.g., "Please keep low") for prompting people present in the facility F1 to avoid inhaling at least one of the smoke and the gas. The suction avoidance information may also include information indicating the source of the fire.

[0107] The output unit 243 outputs the suction avoidance information to the display device 31 and the audio output device 32 via the second communication unit 22 (step ST4).

[0108] When the display device 31 receives the suction avoidance information, it displays the character string (such as "Keep your posture low") included in the suction avoidance information. Furthermore, when the audio output device 32 receives the suction avoidance information, it outputs the audio (such as "Keep your posture low") included in the suction avoidance information. This makes it possible to urge people present in the facility F1 to avoid inhaling at least one of the smoke and the gas in the event of a smoldering fire that is expected to produce a large amount of smoke and / or gas.

[0109] If the suction avoidance information includes information indicating the source of the fire, the display device 31 displays image information indicating the source of the fire. If the suction avoidance information includes information regarding the source of the fire, the audio output device 32 outputs audio information indicating the source of the fire. This allows people present in the facility F1 to be notified of the source of the fire.

[0110] (2.2.3) Third Operation Example The following describes a third operation example of the fire detection system 100. Note that in the following description, descriptions of operations common to the first and second operation examples will be omitted as appropriate.

[0111] In the third operation example, in estimating the specific combustion pattern (step ST2), the estimation unit 242 estimates that the degree of agreement between the actual measurement data and the third simulation results is the highest, and that the specific combustion pattern is the third pattern corresponding to the combustion of synthetic resin.

[0112] After estimating the specific combustion pattern, the estimation unit 242 further estimates the source of the fire based on the estimated specific combustion pattern (third pattern), the location information of the object 4 in the target space F2 where the second sensor 1B is installed, and the material information on the material of the object 4 placed in the target space F2 (step ST3). Specifically, the estimation unit 242 selects the conference area where the second sensor 12 is placed from the sensor list (see Table 1) as an area where the source of the fire is likely to be present. Furthermore, the estimation unit 242 selects the conference desk 51 and the second document shelf 50 placed in the conference area AR2 from the placed object list (see Table 2) as candidates for the source of the fire. Furthermore, the estimation unit 242 estimates that the conference desk 51, which is made of synthetic resin and corresponds to the third pattern, which is the specific combustion pattern, is the source of the fire detected by the second sensor 1B.

[0113] In other words, the estimation unit 242 estimates that the fire originated from the conference desk 51 installed in the conference area AR2, and that a third pattern fire corresponding to the combustion of synthetic resin has broken out.

[0114] When the estimation unit 242 estimates the specific combustion pattern and source of the fire, the output unit 243 generates information corresponding to the third pattern, which is the specific combustion pattern. Specifically, the output unit 243 generates warning information that alerts people present in the facility F1. The warning information includes text (e.g., "A fire has been detected, please wait for a follow-up report") for alerting people present in the facility F1. The warning information also includes audio (e.g., "A fire has been detected, please wait for a follow-up report") for alerting people present in the facility F1. The warning information may also include information indicating the source of the fire. The warning information may also include information urging people to extinguish the fire.

[0115] The output unit 243 outputs the attention-calling information to the display device 31 and the audio output device 32 via the second communication unit 22 (step ST4).

[0116] When the display device 31 receives the warning information, it displays the character string included in the warning information (such as "A fire has been detected, please wait for further information"). When the audio output device 32 receives the warning information, it outputs the sound included in the warning information (such as "A fire has been detected, please wait for further information"). This makes it possible to warn people present in the facility F1.

[0117] If the warning information includes information indicating the source of the fire, the display device 31 displays image information indicating the source of the fire. If the warning information includes information regarding the source of the fire, the audio output device 32 outputs audio information indicating the source of the fire. This allows people present in the facility F1 to be notified of the source of the fire.

[0118] (3) Modifications The above embodiment is merely one of various embodiments of the present disclosure. Various modifications are possible to the above embodiment depending on the design, etc., as long as the object of the present disclosure can be achieved. Furthermore, functions similar to those of the estimation system 2 may be embodied in an estimation method, a (computer) program, or a non-transitory recording medium having a program recorded thereon, executed by a computer system. An estimation method according to one aspect is executed by a computer system and includes an acquisition step, an estimation step, and an output step. In the acquisition step, first measured data indicating a temperature transition, which is a transition of the air temperature detected by the detector 1 that has detected a fire, and second measured data indicating a concentration transition, which is a transition of at least one of the smoke concentration detected by the detector 1 and the gas concentration detected by the detector 1, are acquired from the detector 1. In the estimation step, the first measured data and the second measured data are compared with multiple simulation results of the temperature transition and the concentration transition corresponding to multiple combustion patterns, and a specific combustion pattern occurring in the fire is estimated from the multiple combustion patterns. In the output step, information corresponding to the specific combustion pattern estimated in the estimation step is output.

[0119] A (computer) program according to one aspect is a program for causing one or more processors to execute the estimation method described above.

[0120] Modifications of the above embodiment are listed below. The modifications described below can be applied in appropriate combinations.

[0121] (3.1) Modification 1 In the above embodiment, the second actual measurement data acquired by the acquisition unit 241 from the detector 1 was data indicating changes in smoke and gas concentration, but the second actual measurement data may also be data including changes in either smoke or gas concentration. In this case, each of the multiple simulation results that the estimation unit 242 compares with the first actual measurement data and the second actual measurement data may be a simulation result of changes in air temperature or changes in smoke or gas concentration.

[0122] (3.2) Modification 2 The estimation unit 242 may compare the first and second actual measurement data obtained from two adjacent detectors 1 with multiple simulation results of temperature trends (changes in the temperature of the air detected by the detector 1 that detected the fire) and concentration trends (changes in at least one of the concentration of smoke detected by the detector 1 and the concentration of gas detected by the detector 1) corresponding to multiple combustion patterns, and estimate a specific combustion pattern occurring in the fire from among the multiple combustion patterns.

[0123] The following describes an example of the operation of the fire detection system 100 of Modification 2. In the following description, explanations of operations common to the first to third operation examples in the above embodiment will be omitted as appropriate.

[0124] First, at a certain point in time (first point in time), the acquisition unit 151 included in each of two adjacent detectors 1 (first detector 1A and second detector 1B in FIG. 5 ) (hereinafter sometimes referred to as each detector 1) acquires the temperatures detected by the plurality of temperature detection units 14, the smoke concentration detected by the smoke detection unit 11, and the gas concentration detected by the gas detection unit 12. Also, at the first point in time, the determination unit 152 included in each detector 1 determines whether or not a fire has occurred based on the temperatures, smoke concentration, and gas concentration acquired by the acquisition unit 151 included in each detector 1.

[0125] Here, it is assumed that at a first time point, each of the detectors 1 detects the occurrence of a fire. When the signal generating unit 154 of each detector 1 detects a fire, it transmits a fire occurrence signal indicating that a fire has been detected to the first communication unit 21 of the estimation system 2.

[0126] When the first communication unit 21 receives a fire occurrence signal, the acquisition unit 241 of the estimation system 2 begins acquiring the temperatures detected by the multiple temperature detection units 14 of each detector 1, the smoke concentration detected by the smoke detection unit 11, and the gas concentration detected by the gas detection unit 12.

[0127] The acquisition unit 241 acquires from each detector 1 first actual measurement data indicating the temperature change of the air detected by each detector 1 that detected a fire in the target space F2, and second actual measurement data indicating the concentration change of the smoke detected by each detector 1 and the concentration change of the gas detected by each detector 1.

[0128] Next, estimation unit 242 compares the first and second actual measurement data of first detector 1A with three simulation results corresponding to patterns 1 to 3, and provisionally estimates a first specific combustion pattern occurring in the fire detected by first detector 1A from among patterns 1 to 3. Estimation unit 242 also compares the first and second actual measurement data of second detector 1B with three simulation results corresponding to patterns 1 to 3, and provisionally estimates a second specific combustion pattern occurring in the fire detected by second detector 1B from among patterns 1 to 3. When the first specific combustion pattern and the second specific combustion pattern are the same, estimation unit 242 officially estimates the combustion patterns estimated as the first specific combustion pattern and the second specific combustion pattern as the specific combustion pattern. Furthermore, when the first specific combustion pattern and the second specific combustion pattern are different, the estimation unit 242 determines which of the first and second specific combustion patterns has a higher degree of agreement between the actual measurement data and the simulation results as the specific combustion pattern. In this modified example, the estimation unit 242 determines that the specific combustion pattern is the first pattern.

[0129] After estimating the specific combustion pattern, the estimation unit 242 further estimates the source of the fire based on the estimated specific combustion pattern (first pattern), the location information of the object 4 located between the first sensor 1A and the second sensor 1B in the target space F2, and the material information on the material of the object 4 located in the target space F2. The estimation of the source of the fire by the estimation unit 242 will be described in detail below.

[0130] The estimation unit 242 selects the object 4 located between the first detector 1A and the second detector 1B as a candidate source of the fire based on the map information stored in the memory unit 23. The map information is electronic map information indicating the locations of the detectors 1 and the object 4 within the target space F2. That is, the map information includes location information for the object 4 located between the first detector 1A and the second detector 1B within the target space F2. Note that the "object 4 located between the first detector 1A and the second detector 1B" in this modification refers to the object 4 located so as to overlap on the imaginary line connecting the first detector 1A and the second detector 1B. In this modification, as shown in FIG. 5 , a third office desk 43, a first document shelf 40, and a portion of a conference desk 51 are located between the adjacent first detector 1A and second detector 1B in a top view. Therefore, the estimation unit 242 selects the third desk 43, the first material shelf 40, and the conference desk 51 as candidates for the source of the fire.

[0131] Next, the estimation unit 242 reads out the placed object list (see Table 2) stored in the storage unit 23 .

[0132] Based on the list of placed objects, the estimation unit 242 estimates that the first document shelf 40, which is made of wood corresponding to the first pattern, which is a specific combustion pattern, is the source of the fire, out of the third office desk 43, the first document shelf 40, and the conference desk 51. In other words, the estimation unit 242 estimates the source of the fire based on the specific combustion pattern, the placement information of the object 4 placed between the first sensor 1A and the second sensor 1B, and the material information related to the material of the object 4.

[0133] In other words, the estimation unit 242 estimates that the first material shelf 40 is the source of the fire and that a first pattern fire has occurred, which corresponds to the burning of wood accompanied by the generation of flames.

[0134] This allows the source of the fire to be estimated with high accuracy based on the location information of the object 4 located between the first sensor 1A and the second sensor 1B stored in the memory unit 23.

[0135] (3.3) Other Modifications The estimation system 2 in the present disclosure includes a computer system. The computer system is primarily composed of a processor and memory as hardware. The processor executes a program stored in the memory of the computer system to realize the functions of the estimation system 2 in the present disclosure. The program may be pre-stored in the memory of the computer system, provided via a telecommunications line, or provided in a non-transitory recording medium such as a memory card, optical disk, or hard disk drive that is readable by the computer system. The processor of the computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large-scale integrated circuit (LSI). The integrated circuits, such as ICs and LSIs, are referred to by different names depending on the degree of integration, and include integrated circuits called system LSIs, very large-scale integrations (VLSIs), or ultra-large-scale integrations (ULSIs). Furthermore, field-programmable gate arrays (FPGAs), which are programmed after the LSI is manufactured, or logic devices that allow the reconfiguration of internal connections or internal circuit partitions of the LSI, can also be used as processors. The electronic circuits may be integrated into one chip or distributed across multiple chips. The chips may be integrated into one device or distributed across multiple devices. The computer system referred to here includes a microcontroller having one or more processors and one or more memories. Therefore, the microcontroller is also composed of one or more electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

[0136] Furthermore, it is not essential for the estimation system 2 that multiple functions of the estimation system 2 are concentrated in one housing, and the components of the estimation system 2 may be distributed across multiple housings. Furthermore, some functions of the estimation system 2 may be realized by the cloud (cloud computing) or the like.

[0137] (4) Summary As described above, the estimation system (2) of the first aspect includes an acquisition unit (241), an estimation unit (242), and an output unit (243). The acquisition unit (241) acquires, from the detector (1) that has detected a fire, first measured data indicating a temperature transition, which is a transition of the air temperature detected by the detector (1), and second measured data indicating a concentration transition, which is a transition of at least one of the smoke concentration detected by the detector (1) and the gas concentration detected by the detector (1). The estimation unit (242) compares the first measured data and the second measured data with multiple simulation results of the temperature transition and the concentration transition corresponding to multiple combustion patterns, and estimates a specific combustion pattern occurring in the fire from among the multiple combustion patterns. The output unit (243) outputs information corresponding to the specific combustion pattern estimated by the estimation unit (242).

[0138] According to this aspect, it is possible to estimate the combustion pattern occurring in the fire and output appropriate information according to the combustion pattern occurring in the fire.

[0139] In the estimation system (2) of the second aspect, in the first aspect, the plurality of combustion patterns includes a first pattern accompanied by the generation of a flame and a second pattern not accompanied by the generation of a flame.

[0140] According to this aspect, it is possible to output appropriate information depending on whether or not a flame is occurring.

[0141] In the estimation system (2) of the third aspect, in the second aspect, when the specific combustion pattern is the first pattern, the output unit (243) outputs evacuation request information that prompts evacuation behavior.

[0142] According to this aspect, when flames break out in a fire, people can be encouraged to take evacuation action.

[0143] In the estimation system (2) of the fourth aspect, in the second or third aspect, when the specific combustion pattern is the second pattern, the output unit (243) outputs suction avoidance information that encourages avoidance of suction of at least one of smoke and gas.

[0144] According to this aspect, when there is no flame in a fire and it is highly likely that a large amount of smoke or gas or both is being generated, people can be encouraged to avoid inhaling at least one of the smoke and gas.

[0145] In the estimation system (2) of the fifth aspect, in any one of the first to fourth aspects, the plurality of combustion patterns include a plurality of combustion patterns corresponding to the combustion of a plurality of different materials, and the estimation unit (242) further estimates the source of the fire based on the specific combustion pattern, information on the location of the object (4) in the space (F2) in which the detector (1) is installed, and material information on the material of the object (4).

[0146] According to this aspect, the source of the fire can be estimated with high accuracy.

[0147] In the estimation system (2) of the sixth aspect, in the fifth aspect, the location information is updated every time the object (4) is moved within the space (F2).

[0148] According to this aspect, the placement information can be kept up to date.

[0149] In the estimation system (2) of the seventh aspect, in the fifth or sixth aspect, the estimation unit (242) compares the first and second actual measurement data acquired from two adjacent sensors (1) with multiple simulation results of temperature transitions and concentration transitions corresponding to multiple combustion patterns, and estimates a specific combustion pattern occurring in the fire from among the multiple combustion patterns. The estimation unit (242) estimates the source of the fire based on the specific combustion pattern, location information of an object (4) located between the two sensors (1), and material information.

[0150] According to this aspect, the source of the fire can be estimated with high accuracy.

[0151] In the estimation system (2) of the eighth aspect, in any one of the first to seventh aspects, the gas detected by the sensor (1) is carbon monoxide gas.

[0152] According to this aspect, safety can be improved.

[0153] A fire detection system (100) of a ninth aspect includes the estimation system (2) of any one of the first to eighth aspects and a detector (1).

[0154] According to this aspect, it is possible to estimate the combustion pattern occurring in the fire and output appropriate information according to the combustion pattern occurring in the fire.

[0155] The estimation method of the tenth aspect includes an acquisition step, an estimation step, and an output step. In the acquisition step, first actual measurement data indicating a temperature transition, which is a transition of the air temperature detected by a detector (1) that has detected a fire, and second actual measurement data indicating a concentration transition, which is a transition of at least one of the smoke concentration detected by the detector (1) and the gas concentration detected by the detector (1), are acquired from the detector (1). In the estimation step, the first actual measurement data and the second actual measurement data are compared with multiple simulation results of the temperature transition and the concentration transition corresponding to multiple combustion patterns, and a specific combustion pattern occurring in the fire is estimated from the multiple combustion patterns. In the output step, information corresponding to the specific combustion pattern estimated in the estimation step is output.

[0156] According to this aspect, it is possible to estimate the combustion pattern occurring in the fire and output appropriate information according to the combustion pattern occurring in the fire.

[0157] The program of an eleventh aspect is a program for causing one or more processors to execute the estimation method.

[0158] According to this aspect, it is possible to estimate the combustion pattern occurring in the fire and output appropriate information according to the combustion pattern occurring in the fire.

[0159] The detector (1) of the twelfth aspect is provided in a fire detection system (100).

[0160] According to this aspect, it is possible to estimate the combustion pattern occurring in the fire and output appropriate information according to the combustion pattern occurring in the fire.

[0161] REFERENCE SIGNS LIST 1 Detector 2 Estimation system 4 Object 100 Fire detection system 241 Acquisition unit 242 Estimation unit 243 Output unit F2 Space

Claims

1. An estimation system comprising: an acquisition unit that acquires from a detector that has detected a fire first measured data indicating a temperature transition, which is a transition in the air temperature detected by the detector, and second measured data indicating a concentration transition, which is a transition in at least one of the smoke concentration detected by the detector and the gas concentration detected by the detector; an estimation unit that compares the first measured data and the second measured data with multiple simulation results of the temperature transition and the concentration transition corresponding to multiple combustion patterns, and estimates a specific combustion pattern occurring in the fire from among the multiple combustion patterns; and an output unit that outputs information corresponding to the specific combustion pattern estimated by the estimation unit.

2. The estimation system according to claim 1, wherein the plurality of combustion patterns include a first pattern accompanied by the generation of a flame and a second pattern not accompanied by the generation of a flame.

3. The estimation system according to claim 2, wherein, when the specific combustion pattern is the first pattern, the output unit outputs evacuation request information that encourages evacuation behavior.

4. The estimation system according to claim 2 or 3, wherein, when the specific combustion pattern is the second pattern, the output unit outputs suction avoidance information that encourages avoidance of suction of at least one of the smoke and the gas.

5. The estimation system according to any one of claims 1 to 4, wherein the plurality of combustion patterns include a plurality of combustion patterns corresponding to the combustion of a plurality of different materials, and the estimation unit further estimates the source of the fire based on the specific combustion pattern, information on the placement of objects in the space in which the detector is installed, and material information on the materials of the objects.

6. The estimation system according to claim 5, wherein the location information is updated each time the object is moved within the space.

7. The estimation system described in claim 5 or 6, wherein the estimation unit compares the first measured data and the second measured data obtained from two adjacent sensors with multiple simulation results of the temperature transitions and the concentration transitions corresponding to the multiple combustion patterns, estimates the specific combustion pattern occurring in the fire from among the multiple combustion patterns, and estimates the source of the fire based on the specific combustion pattern, the placement information of the object placed between the two sensors, and the material information.

8. The estimation system according to any one of claims 1 to 7, wherein the gas is carbon monoxide gas.

9. A fire detection system comprising: the estimation system according to any one of claims 1 to 8; and the detector.

10. An estimation method comprising: an acquisition step of acquiring, from a detector that has detected a fire, first measured data indicating a temperature transition, which is a transition in the air temperature detected by the detector, and second measured data indicating a concentration transition, which is a transition in at least one of the smoke concentration detected by the detector and the gas concentration detected by the detector; an estimation step of comparing the first measured data and the second measured data with multiple simulation results of the temperature transition and the concentration transition corresponding to multiple combustion patterns, and estimating a specific combustion pattern occurring in the fire from among the multiple combustion patterns; and an output step of outputting information corresponding to the specific combustion pattern estimated in the estimation step.

11. A program for causing one or more processors to execute the estimation method according to claim 10.

12. A detector provided in the fire detection system according to claim 9.

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