Evacuation guidance device, evacuation guidance system, and evacuation guidance method

Abstract

To provide an evacuation guidance device capable of urging each person in a building to take an optimal evacuation action while grasping a location and a psychological condition of the person in the building and a situation in a room when an earthquake occurs, an evacuation guidance system, and an evacuation guidance method.SOLUTION: An evacuation guidance device 3 comprises: a human sensibility calculation unit 311 for calculating a rate of persons feeling uneasy in each room based on an acceleration response waveform of each room; an uneasy person count calculation unit 314 for calculating the number of persons feeling uneasy in each room by multiplying the number of persons being present in each room by the rate of persons feeling uneasy calculated by the human sensibility calculation unit 311; an evacuation priority calculation unit 315 for calculating a priority of evacuations of each room in accordance with the number of persons feeling uneasy calculated by the uneasy person count calculation unit 314; and an action instruction unit 316 for instructing an action to each room in accordance with the priority of evacuations calculated by the evacuation priority calculation unit 315.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to an evacuation guidance device, an evacuation guidance system, and an evacuation guidance method for guiding the evacuation of building occupants.

Background Art

[0002] Conventionally, an earthquake information providing system has been disclosed that accurately informs building occupants of the magnitude and duration of shaking for earthquakes that shake for a long time (see Patent Document 1). The earthquake information providing system described in Patent Document 1 transmits information about the generated earthquake according to the floor number and section where the building occupants are present, thereby eliminating the psychological uneasiness of people inside the building and prompting appropriate responses.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Non-Patent Documents

[0004]

Non-Patent Document 1

Non-Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, the earthquake information provision system described in Patent Document 1 only provides earthquake-related information and warnings based on the magnitude or duration of shaking, etc. Therefore, it is not a system that can ascertain the situation of people inside a building when an earthquake occurs.

[0006] The present invention aims to provide an evacuation guidance device, an evacuation guidance system, and an evacuation guidance method that can understand the location, psychological state, and conditions inside a building when an earthquake occurs, and then encourage each occupant to take the most appropriate evacuation action. [Means for solving the problem]

[0007] The evacuation guidance device according to the present invention is A human sensation calculation unit that calculates the percentage of people feeling anxious in each room based on the acceleration response waveform of each room, An anxiety person calculation unit calculates the number of people feeling anxious in each room by multiplying the number of people present in each room by the proportion of people feeling anxious calculated by the human sensation calculation unit, An evacuation priority calculation unit calculates the evacuation priority for each room according to the number of people feeling anxious calculated by the anxiety number calculation unit, An action instruction unit that instructs each room to take action according to the evacuation priority calculated by the evacuation priority calculation unit, Equipped with It is characterized by the following: [Effects of the Invention]

[0008] According to the present invention, the evacuation guidance device, evacuation guidance system, and evacuation guidance method can be used to ascertain the location, psychological state, and conditions within a building when an earthquake occurs, and then encourage each occupant to take the most appropriate evacuation action. [Brief explanation of the drawing]

[0009] [Figure 1] An example of the evacuation guidance system of this embodiment is shown. [Figure 2] An example of the configuration of the evacuation guidance device of this embodiment is shown. [Figure 3] An example of a building model used by the furniture tipping prediction unit of this embodiment for furniture tipping determination is shown. [Figure 4] An example of the criteria for furniture tipping determination used by the furniture tipping prediction unit of this embodiment is shown. [Figure 5] An example of the criteria for furniture slipping determination used by the furniture tipping prediction unit of this embodiment is shown. [Figure 6] A flowchart of an example of the evacuation guidance method of this embodiment is shown. [Figure 7] A flowchart of an example of furniture tipping determination of this embodiment is shown. [Figure 8] An example of the situation inside the building used in an example of the evacuation guidance method of this embodiment is shown. [Figure 9] An example of the calculation of evacuation priority in an example of the evacuation guidance method of this embodiment is shown.

Mode for Carrying Out the Invention

[0010] Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. Hereinafter, the scope necessary for the description for achieving the object of the present invention will be schematically shown, and mainly the scope necessary for the description of the corresponding part of the present invention will be described, and the parts for which the description is omitted shall be based on known techniques.

[0011] FIG. 1 shows an example of an image of the evacuation guidance system 1 of this embodiment. The evacuation guidance system 1 includes a sensor 2, an evacuation guidance device 3 that calculates an evacuation guidance result based on the measurement data acquired from the sensor 2, and a communication device 4 that gives an evacuation instruction based on the evacuation guidance result acquired from the evacuation guidance device 3. The evacuation guidance system 1 of this embodiment sets the lobby on the first floor as an evacuation location in a four-story building 10. Note that the evacuation guidance device 3 of this embodiment is installed on the first floor, but it does not necessarily have to be installed on the first floor and may be installed on the second floor or higher.

[0012] The sensor 2 of this embodiment includes an acceleration sensor 21 that measures acceleration and a people sensor 22 that measures the number of people in a room. The acceleration sensor 21 of this embodiment measures the acceleration of the vibration of the building 10. For example, it measures the acceleration against the shaking during an earthquake. It is preferable to install at least one acceleration sensor 21 on each floor, but it is not necessary to install it on all floors. The people sensor 22 of this embodiment measures the number of people in a room. The measurement of the number of people may be performed, for example, using a wireless tag, using image analysis by a camera, using a photoelectric sensor and an electronic counter, or using a ranging sensor, etc.

[0013] FIG. 2 shows an example of the configuration of the evacuation guidance device 3 of this embodiment. The evacuation guidance device 3 is composed of a general-purpose or dedicated computer. The computer is composed of, for example, a stationary computer or a portable computer, and is an electronic device in any form. The computer may be a client-type computer, a server-type computer or a cloud-type computer, or may be an embedded computer called, for example, a control panel, a controller (including a microcomputer, a programmable logic controller, a sequencer), etc.

[0014] The evacuation guidance device 3 of this embodiment has a control unit 31 that calculates an evacuation guidance result based on the measurement data acquired from the sensor 2, a storage unit 32 that stores a data management program 321 that calculates an evacuation guidance result based on the measurement data and setting information 322 such as the number of furniture 11 in each room, a communication unit 33 that communicates with the sensor 2 or the communication device 4, an input unit 34 through which a user can input a program or various information, etc., and an output unit 35 that outputs various information, etc. via a display screen or voice.

[0015] The control unit 31 is a processor, which is composed of one or more arithmetic processing units (CPU (Central Processing Unit), MPU (Micro-Processing Unit), DSP (Digital Signal Processor), GPU (Graphics Processing Unit), NPU (Neural Processing Unit), etc.).

[0016] The control unit 31 includes a human sensation calculation unit 311 that calculates the percentage of people who feel anxious based on acceleration response waveforms, a furniture tipping prediction unit 312 that predicts the likelihood of furniture 11 tipping over, an anxiety person calculation unit 314 that calculates the number of people who feel anxious, an evacuation priority calculation unit 315 that calculates the evacuation priority for each room, and an action instruction unit 316 that instructs people to take action.

[0017] The human sensation calculation unit 311 calculates the percentage of people who feel anxious yi based on the acceleration response waveform corresponding to the shaking of each floor of the building 10 during an earthquake. In this embodiment, the acceleration response waveform can be obtained from acceleration sensors 21 installed on each floor. The human sensation calculation unit 311 can use the method for calculating human sensation described in Patent Document 2. For example, the maximum acceleration during an earthquake can be applied to a performance evaluation curve to determine people's sensation to the shaking. The performance evaluation curve can be the one described in Non-Patent Document 1.

[0018] The furniture tipping prediction unit 312 predicts the likelihood of furniture 11 tipping over and sliding in each room. The number, size, and installation location of furniture 11 in each room can be stored in advance in the setting information 322 of the storage unit 32. The likelihood of furniture 11 tipping over can be determined by referring to the simplified prediction method described in Non-Patent Document 2. The furniture tipping prediction unit 312 also calculates the number Nik of furniture 11 that is determined to have a very high or high likelihood of tipping over. In this embodiment, the terms "very high likelihood of tipping over" and "high likelihood of tipping over" may be used together.

[0019] Figure 3 shows an example of a building model 10 used by the furniture tipping prediction unit 312 of this embodiment for determining whether each piece of furniture will tip over. Figure 4 shows an example of the criteria for determining whether furniture will tip over used by the furniture tipping prediction unit 312 of this embodiment. Figure 5 shows an example of the criteria for determining whether furniture will slide used by the furniture tipping prediction unit 312 of this embodiment.

[0020] As shown in Figure 3, the building 10 used for furniture tipping and furniture sliding detection has a height of 2h and a width of 2b. The tipping limit acceleration A0 can be expressed by the following equation (1), as shown in Figure 4. Fe <Fbのとき、A0=bg / h When Fe≧Fb, A0=2πFeV0=(Fe / Fb)·(bg / h) (1) Here, Fe = Amax / 2πVmax, Fb = 11√h, A0 is the tipping limit acceleration, V0 is the tipping limit speed. Amax is the maximum acceleration of the floor response. Vmax is the maximum speed of the floor response. That is the case.

[0021] Furthermore, AR50 can be expressed by the following equation (2). Fe <Fb’のとき、AR50=bg / h·(1+b / h) When Fe ≥ Fb', AR50 = 2πFeVR50 = (Fe / Fb')·(bg / h)·(1+b / h) (2) Here, Fb' = (11 / √h) * (1 + b / h) -1.5 , The AR50 has an acceleration that results in a 50% chance of tipping over. VR50 is a speed at which there is a 50% chance of falling over. That is the case.

[0022] Therefore, the furniture tipping prediction unit 312 determines that there is a very high probability of tipping if the maximum acceleration Amax of each floor response is greater than the acceleration AR50 at which the tipping rate is 50%. The furniture tipping prediction unit 312 also determines that there is a high probability of tipping if the maximum acceleration Amax of the floor response is less than the acceleration AR50 at which the tipping rate is 50% and greater than the tipping limit acceleration A0. Furthermore, the furniture tipping prediction unit 312 determines that there is a low probability of tipping if the maximum acceleration Amax of the floor response is less than the tipping limit acceleration A0.

[0023] Furthermore, the furniture tipping prediction unit 312 determines the likelihood of the furniture 11 sliding using the following equation (3). Amax > As = μg (3) Here, Amax is the maximum acceleration of the floor response. As = μg is the limiting acceleration of movement. That is the case.

[0024] The furniture tipping prediction unit 312 determines that if the maximum acceleration Amax of the floor response is greater than the limit acceleration As, there is a high probability that the furniture 11 will slide, and if the maximum acceleration Amax of the floor response is less than the limit acceleration As, there is a low probability that the furniture 11 will slide.

[0025] The human sensation correction unit 313 corrects the proportion of people feeling anxious yi based on the acceleration response waveform calculated by the human sensation calculation unit 311 in each room where there is furniture 11 that the furniture tipping prediction unit 312 has determined to have a very high or high probability of tipping over, using a correction coefficient. For example, the corrected proportion of people feeling anxious Yik, which is the proportion of people feeling anxious considering the possibility of furniture tipping over, is obtained by adding a correction coefficient γ to the proportion of people feeling anxious yi.

[0026] The anxiety person calculation unit 314 calculates the number of people Pik who feel anxious and those who feel their safety is at risk in each room. The anxiety person calculation unit 314 obtains the number of people Pik who feel anxious in each room by multiplying the number of people present in each room by the proportion yi of people who feel anxious based on the acceleration response waveform calculated by the human sensation calculation unit 311. Alternatively, in each room where there is furniture 11 that the furniture tipping prediction unit 312 has determined to have a very high or high probability of tipping, the anxiety person calculation unit 314 may obtain the number of people Pik who feel anxious in each room by multiplying the number of people present in each room by the correction proportion Yik of people who feel anxious.

[0027] The evacuation priority calculation unit 315 calculates the evacuation priority for each room in the building 10 based on the number of furniture pieces 11 that the furniture tipping prediction unit 312 has determined to have a very high or high probability of tipping over (Nik) and the number of people feeling anxious in each room (Pik). For example, rooms with a large number of people feeling anxious (Pik) should be given a higher priority. If the number of people feeling anxious (Pik) is the same in each room, the room with a larger number of furniture pieces 11 that have been determined to have a very high or high probability of tipping over (Nik) should be given a higher priority.

[0028] The action instruction unit 316 instructs individual communication devices 4 to take evacuation action based on the priority calculated by the evacuation priority calculation unit 315. For example, rooms with a high number of people (Pik) feeling anxious and therefore a high priority should be instructed to "evacuate," while other rooms should be instructed to "wait." Once the action instruction unit 316 confirms that the person to be evacuated has left the room, or that the person to be evacuated has completed their evacuation, it should then instruct the next highest priority room to "evacuate." The action instruction unit 316 repeats this process until evacuation is complete from all rooms. If there is sufficient time or space in the evacuation route, the action instruction unit 316 may instruct two or more rooms to "evacuate" depending on the number of people in each room.

[0029] The storage unit 32 of this embodiment stores a data management program 321 that calculates evacuation guidance results based on measurement data, and setting information 322 such as the number of pieces of furniture 11 in each room. For example, it is composed of a volatile memory (DRAM, SRAM, etc.) that functions as main memory, a non-volatile memory (ROM), flash memory, etc., and a storage device such as an HDD or SSD.

[0030] The communication unit 33 of this embodiment is connected to a network 5 such as the Internet or an intranet by wire or wireless connection, and transmits and receives data with other computers according to a predetermined communication standard. The input unit 34 of this embodiment may be an input device consisting of, for example, a keyboard, mouse, numeric keypad, electronic pen, etc. The output unit 35 of this embodiment may be an output device consisting of, for example, a sound (voice) output device, a vibration device, etc.

[0031] Communication device 4 may be a mobile device such as a tablet or smartphone, or an information device such as a computer. Alternatively, it may be a display installed in the room, or a speaker that provides evacuation guidance via voice.

[0032] Network 5 is configured using wired communication, wireless communication, or a combination of wired and wireless communication, according to any communication standard. Specifically, it can utilize standardized communication networks such as the Internet, communication networks managed within a building such as a local network, or a combination of these communication networks. Typically, international standards are used as the communication standards for wireless communication. Examples of international standard communication methods include IEEE 802.15.4, IEEE 802.15.1, IEEE 802.15.11a, 11b, 11g, 11n, 11ac, 11ad, ISO / IEC 14513-3-10, and IEEE 802.15.4g. Other methods such as Bluetooth®, Bluetooth Low Energy, Wi-Fi, ZigBee®, Sub-GHz, EnOcean®, and LTE can also be used.

[0033] With such evacuation guidance devices 3 and evacuation guidance systems 1, it is possible to ascertain the location, psychological state, and conditions inside the rooms of building occupants when an earthquake occurs, and then encourage each occupant to take the most appropriate evacuation action.

[0034] Next, the evacuation guidance method of this embodiment will be described.

[0035] Figure 6 shows a flowchart of an example of the evacuation guidance method in this embodiment. Figure 7 shows a flowchart of an example of furniture tipping detection in this embodiment. Figure 8 shows an example of the conditions inside a building used in an example of the evacuation guidance method in this embodiment. Figure 9 shows an example of calculating evacuation priority in the evacuation guidance method in this embodiment.

[0036] The building 10 used in the explanation of the evacuation guidance method in this embodiment has a lobby on the first floor, four rooms on the second floor, three rooms on the third floor, and one room on the fourth floor, as shown in Figure 8. The evacuation guidance method will be explained using the case where evacuation from each room on the second to fourth floors to the lobby on the first floor is used as the evacuation area. The circles in each room represent people, and the rectangles in each room represent furniture 11.

[0037] As shown in Figure 9, the number of pieces of furniture in each room is pre-stored in the memory unit 32. The number of people in each room is measured by the person sensor 22. When an earthquake occurs, the acceleration sensor 21 measures the maximum response acceleration.

[0038] In this embodiment of the evacuation guidance method, first, in step 1, the control unit 31 acquires the i-th floor acceleration response waveform from the acceleration sensor 21 via the communication unit 33 and stores it in the storage unit 32 (ST1).

[0039] Next, in Step 2, it is determined whether evacuation is necessary based on the acquired maximum response acceleration (ST2). To determine whether evacuation is necessary, the acquired maximum acceleration is compared with a predetermined threshold; if the maximum acceleration is greater than the threshold, evacuation is deemed necessary. In the example shown in Figure 9, the maximum response acceleration on the second floor is 250 cm / s². 2 The maximum response acceleration on the 3rd floor is 350 cm / s². 2 The maximum response acceleration on the 4th floor is 420 cm / s². 2, and the threshold is 200 cm / s 2 In Step 2, if it is determined that evacuation is not necessary, return to Step 1. If it is determined that evacuation is necessary in Step 2, proceed to Step 3. This example explains the case where people from the 2nd to 4th floors evacuate to the lobby.

[0040] Next, in step 3, the human sensation calculation unit 311 calculates the percentage of people who feel anxious yi based on the acceleration response waveforms corresponding to the shaking of each floor of the building 10 during an earthquake (ST3). The calculation of the percentage of people who feel anxious yi based on the acceleration response waveform can be done by referring to Patent Document 2. In the example shown in Figure 9, the percentage of people who feel anxious yi based on the acceleration response waveform is 0.70 for the 2nd floor, 0.89 for the 3rd floor, and 0.95 for the 4th floor.

[0041] Next, in step 4, the furniture tipping prediction unit 312 calculates the likelihood of each piece of furniture 11 tipping over in each room (ST4). The calculation of the likelihood of each piece of furniture 11 tipping over is explained by the subroutine shown in Figure 7.

[0042] The calculation of the likelihood of furniture 11 tipping over begins in step 41, where it is determined whether the tipping limit acceleration A0 < movement limit acceleration As is satisfied (ST41). If in step 41 the tipping limit acceleration A0 < movement limit acceleration As is satisfied, then in step 42, it is determined whether the acceleration AR50, where the maximum floor response acceleration Amax > tipping rate of 50%, is satisfied (ST41). If in step 42 the acceleration AR50, where the maximum floor response acceleration Amax > tipping rate of 50%, is satisfied, then in step 43, it is determined that the likelihood of tipping over is very high (ST43).

[0043] In step 42, if the maximum floor acceleration Amax > 50% tipping rate acceleration AR50 is not satisfied, in step 44, it is determined whether the maximum floor acceleration Amax > tipping limit acceleration A0 is satisfied (ST44). In step 44, if the maximum floor acceleration Amax > tipping limit acceleration A0 is satisfied, in step 45, it is determined that there is a high probability of tipping (ST45). In step 44, if the maximum floor acceleration Amax > tipping limit acceleration A0 is not satisfied, in step 46, it is determined that there is a low probability of tipping (ST46).

[0044] In step 41, if the condition A0 < limit acceleration As is not satisfied, in step 47, it is determined whether the condition Amax > limit acceleration As is satisfied (ST47). In step 47, if the condition Amax > limit acceleration As is satisfied, in step 48, it is determined that the furniture 11 will slide and the amount of movement is estimated (ST48). In step 47, if the condition Amax > limit acceleration As is not satisfied, in step 49, it is determined that the furniture 11 will not slide.

[0045] Next, in step 5, it is determined whether there is furniture 11 in the room that is very likely to tip over or is likely to tip over, based on the results determined in step 4 (ST5). If there is furniture 11 in the room that is very likely to tip over or is likely to tip over, in step 6, the corrected ratio Yik is calculated, which is adjusted for the proportion of people who feel anxious (ST6). If there is no furniture 11 in the room that is very likely to tip over or is likely to tip over, in step 5, the process proceeds to step 7.

[0046] The correction ratio Yik for people experiencing anxiety can be calculated by adding the correction coefficient γ=0.2 to the proportion of people experiencing anxiety, yi. However, if the correction ratio Yik exceeds 1, Yik=1 is used. For example, in the example shown in Figure 9, in room 2-1, there is no furniture 11 that is highly likely to tip over, so the proportion of people experiencing anxiety, yi=0.7, becomes the correction ratio Yik=0.7. In room 2-2, there is furniture 11 that is highly likely to tip over, so adding 0.2 to the proportion of people experiencing anxiety, yi=0.7, gives the correction ratio Yik=0.9. In room 3-3, there is furniture 11 that is likely to tip over, so adding 0.2 to the proportion of people experiencing anxiety, yi=0.89, gives the correction ratio Yik=1.09, but this exceeds 1, so the correction ratio Yik=1 is used.

[0047] Next, in step 7, the anxiety level calculation unit 314 calculates the number of people Pik who feel anxious in each room (ST7). The number of people Pik who feel anxious in each room is obtained by multiplying the number of people in each room by a correction ratio Yik. In the example shown in Figure 9, the number of people Pik who feel anxious in room 2-1 is 2.1, which is obtained by multiplying the number of people in the room (3) by the correction ratio Yik = 0.7. Also, the number of people Pik who feel anxious in room 4-1 is 11.4, which is obtained by multiplying the number of people in the room (12) by the correction ratio Yik = 0.95.

[0048] Next, in step 8, the furniture tipping prediction unit 312 calculates the number of furniture pieces 11 that are very likely or highly likely to tip over, Nik (ST8). The number of furniture pieces 11 that are very likely or highly likely to tip over, Nik, can be determined by the simplified prediction method described in Non-Patent Document 2. In the example shown in Figure 9, the number of furniture pieces in room 2-1 is 1, and the number of furniture pieces 11 that are very likely or highly likely to tip over, Nik, is 0. Also, the number of furniture pieces in room 3-3 is 5, and the number of furniture pieces 11 that are very likely or highly likely to tip over, Nik, is 4.

[0049] Next, in step 9, the evacuation priority calculation unit 315 determines the evacuation priority (ST9). The evacuation priority calculation unit 315 should determine that rooms with a higher number of people (Pik) feeling anxious should have a higher evacuation priority. If the number of people (Pik) feeling anxious is the same in each room, the room with a higher number (Nik) of furniture 11 that is judged to have a very high or high probability of tipping over should have a higher evacuation priority. In the example shown in Figure 9, room 4-1 has the highest number of people (Pik = 11.4) feeling anxious, so it is given the highest evacuation priority. Subsequently, room 3-3 is given the second highest priority, room 3-1 the third highest, and so on.

[0050] Next, in step 10, the action instruction unit 316 instructs evacuation actions (ST10). Based on the priority calculated by the evacuation priority calculation unit 315, the action instruction unit 316 instructs individual communication devices 4, etc., to evacuate. For example, in the example shown in Figure 9, the communication device 4, etc. in room 4-1, which has the highest number of people (Pik) feeling anxious, is instructed to "evacuate" first, and the other rooms are instructed to "wait". Subsequently, the communication device 4, etc. in room 3-3, which has the second highest number of people (Pik) feeling anxious, is instructed to "evacuate", and the other rooms are instructed to "wait". This instruction is continued until all rooms have completed "evacuation". If there is sufficient time or space in the evacuation route, two or more rooms may be instructed to "evacuate" depending on the number of people in each room. For example, in the example shown in Figure 9, the communication device 4 in room 4-1 may first be instructed to "evacuate," then the communication devices 4 in rooms 3-3 and 3-1 may be instructed to "evacuate" simultaneously, and finally the communication devices 4 in rooms 2-4, 2-1, 3-2, and 2-3 may be instructed to "evacuate" simultaneously.

[0051] This evacuation guidance method allows for the identification of the location, psychological state, and conditions within the building's rooms during an earthquake, enabling each occupant to take the most appropriate evacuation action.

[0052] As described above, the evacuation guidance device 3 of this embodiment includes: a human sensation calculation unit 311 that calculates the proportion of people feeling anxious in each room based on the acceleration response waveform of each room; an anxiety person calculation unit 314 that calculates the number of people feeling anxious in each room by multiplying the number of people present in each room by the proportion of people feeling anxious calculated by the human sensation calculation unit 311; an evacuation priority calculation unit 315 that calculates the evacuation priority for each room according to the number of people feeling anxious calculated by the anxiety person calculation unit 314; and an action instruction unit 316 that instructs each room to take action according to the evacuation priority calculated by the evacuation priority calculation unit 315. Therefore, according to the evacuation guidance device 3 of this embodiment, when an earthquake occurs, it is possible to grasp the location, psychological state, and conditions inside the rooms of the building occupants and then prompt each occupant to take the most appropriate evacuation action.

[0053] Furthermore, the evacuation guidance device 3 of this embodiment includes a storage unit 32 that stores the number of pieces of furniture 11 in each room, a furniture tipping prediction unit 312 that predicts the possibility of furniture 11 in each room tipping over, and a human sensation correction unit 313 that corrects the percentage of people who feel anxious calculated by the human sensation calculation unit 311, taking into account the furniture tipping possibility predicted by the furniture tipping prediction unit 312. The anxious person calculation unit 314 calculates the number of people who feel anxious in each room by multiplying the number of people present in each room by the corrected percentage of people who feel anxious corrected by the human sensation correction unit 313. Therefore, the evacuation guidance device 3 of this embodiment can encourage more appropriate evacuation actions that take into account the possibility of furniture tipping over.

[0054] Furthermore, in the evacuation guidance device 3 of this embodiment, the furniture tipping prediction unit 312 calculates the number of furniture pieces 11 that are highly likely to tip over in each room, and the evacuation priority calculation unit 315 calculates the evacuation priority for rooms with the same number of people feeling anxious, according to the number of furniture pieces 11 that are highly likely to tip over, as calculated by the furniture tipping prediction unit 312, if there are rooms with the same number of people feeling anxious. Therefore, the evacuation guidance device 3 of this embodiment can encourage more appropriate evacuation actions that take into account the possibility of furniture tipping over.

[0055] Furthermore, the evacuation guidance system 1 of this embodiment includes the evacuation guidance device 3, an acceleration sensor 21 that measures the acceleration response waveform of each room, a person sensor 22 that measures the number of people in each room, and a communication device 4 that communicates the instructions given by the action instruction unit 316 to the people in each room. The person sensation calculation unit 311 calculates the percentage of people feeling anxious in each room based on the acceleration obtained from the acceleration sensor 21, and the anxiety person calculation unit 314 calculates the number of people feeling anxious in each room based on the number obtained from the person sensor 22. Therefore, according to the evacuation guidance system 1 of this embodiment, when an earthquake occurs, the location, psychological state, and conditions inside the rooms of the building occupants can be grasped, and the optimal evacuation action can be encouraged for each occupant.

[0056] Furthermore, the present invention is not limited to the embodiments described above, and can be implemented with various modifications without departing from the spirit of the invention. All such modifications are included in the technical concept of the present invention.

[0057] In the above embodiments, the features of the evacuation guidance system 1 and evacuation guidance device 3 of each embodiment have been described. However, the features of each embodiment may be combined as appropriate. For example, any two or more may be combined as appropriate, or all of them may be combined.

[0058] In the above embodiment, the functions of each part of the evacuation guidance system 1 were described as being realized by a single device, but the functions of each part may be distributed among multiple devices to be realized by multiple devices. [Explanation of symbols]

[0059] 1...Evacuation guidance system, 2...Sensor, 21...Accelerometer, 22...Person sensor, 3...Evacuation guidance device, 31...Human sensation calculation unit, 32...Furniture tipping prediction unit, 33...Anxiety level calculation unit, 34...Evacuation priority calculation unit, 35...Action instruction unit, 4...Communication device, 5...Network, 10...Building, 11...Furniture

Claims

1. A human sensation calculation unit that calculates the percentage of people feeling anxious in each room based on the acceleration response waveform of each room, An anxiety person calculation unit calculates the number of people feeling anxious in each room by multiplying the number of people present in each room by the proportion of people feeling anxious calculated by the human sensation calculation unit, An evacuation priority calculation unit calculates the evacuation priority for each room according to the number of people feeling anxious calculated by the anxiety number calculation unit, An action instruction unit that instructs each room to take action according to the evacuation priority calculated by the evacuation priority calculation unit, Equipped with An evacuation guidance device characterized by the following features.

2. A storage unit that stores the number of pieces of furniture in each of the aforementioned rooms, A furniture tipping prediction unit that predicts the likelihood of furniture in each of the aforementioned rooms tipping over, A human sensation correction unit corrects the percentage of people who feel anxious, calculated by the human sensation calculation unit, taking into account the furniture tipping prediction unit's prediction of the likelihood of furniture tipping, Furthermore, The anxiety person calculation unit calculates the number of people feeling anxious in each room by multiplying the number of people present in each room by the correction ratio of people feeling anxious that has been corrected by the human perception correction unit. The evacuation guidance device according to feature 1.

3. The furniture tipping prediction unit calculates the number of pieces of furniture in each room that are likely to tip over, The evacuation priority calculation unit calculates the evacuation priority for rooms with the same number of people feeling anxious, based on the number of pieces of furniture that are likely to tip over, as calculated by the furniture tip-over prediction unit, if there are rooms with the same number of people feeling anxious. The evacuation guidance device according to feature 2.

4. An evacuation guidance device according to any one of claims 1 to 3, An acceleration sensor for measuring the acceleration response waveform of each of the aforementioned rooms, A person sensor that measures the number of people in each of the aforementioned rooms, A communication device that informs the people in each room of the instructions given by the aforementioned action command unit, Equipped with, The human sensation calculation unit calculates the percentage of people in each room who feel anxious based on the acceleration obtained from the acceleration sensor, The aforementioned anxiety calculation unit calculates the number of people feeling anxious in each room based on the number of people obtained from the person sensor. An evacuation guidance system characterized by the following features.

5. The steps include acquiring the acceleration response waveform for each room, A step of calculating the percentage of people feeling anxious in each room based on the acceleration response waveform of each room, The steps include: calculating the number of people feeling anxious in each room by multiplying the number of people present in each room by the proportion of people feeling anxious; The steps include calculating the priority for evacuation of each room according to the number of people who feel anxious, The steps include: giving instructions to each room to take action according to the priority of evacuation, has An evacuation guidance method characterized by the following.

6. The steps include predicting the likelihood of furniture in each of the aforementioned rooms tipping over, A step of correcting the percentage of people who feel anxious considering the possibility of the aforementioned furniture tipping over, The steps include: multiplying the number of people present in each room by the corrected percentage of people who feel anxious, and calculating the number of people who feel anxious in each room; has The evacuation guidance method according to feature 5.

7. The steps include: calculating the number of pieces of furniture in each of the aforementioned rooms that are likely to tip over, If there are rooms in which the number of people feeling anxious is the same, the step of calculating the evacuation priority for the rooms in which the number of people feeling anxious is the same, according to the number of pieces of furniture that are likely to fall over, has The evacuation guidance method according to feature 6.

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