Method, apparatus, and electronic equipment for linking earthquake warnings and indoor occupancy identification.

Abstract

This invention provides a method for linking earthquake warnings with the identification of the number of people inside a room. [Solution] The method includes acquiring seismic waves in real time using an acceleration sensor, performing band-pass filtering to obtain seismic waves with a high signal-to-noise ratio, determining the maximum acceleration, maximum velocity, and maximum displacement based on the seismic waves with a high signal-to-noise ratio, predicting the seismic intensity of a seismometer, acquiring earthquake parameters announced by the national public warning system, acquiring the location of the building inside and the seismic design intensity, calculating the source distance based on the epicenter, source depth, and location of the building inside, calculating the earthquake warning intensity from the magnitude and source distance, calculating the earthquake intensity from the seismometer intensity and the earthquake warning intensity, acquiring the number of people inside in real time using a human presence sensor, determining the linked alarm level based on the earthquake intensity, seismic design intensity, and number of people inside, and issuing an alarm and transmitting alarm information according to the linked alarm level.

Description

Technical Field

[0001] The present invention belongs to the field of earthquake warning and personnel identification technology. Specifically, it relates to a method and device for the interlocking of earthquake warning and indoor population identification, which can be applied to homes, offices, schools, and other indoor environments, and provides a more accurate earthquake disaster response ability.

Background Art

[0002] Earthquake disasters are highly sudden and destructive, and timely and accurate warnings are of great significance in reducing casualties and property losses of personnel. Currently, there are already earthquake warning facilities that can issue warnings several seconds to dozens of seconds before the arrival of destructive seismic waves, which can reduce casualties and property losses caused by earthquakes. However, conventional earthquake warning facilities usually only have the functions of earthquake monitoring and warning, and cannot dynamically sense the number of people in the disaster area. On the other hand, indoor population identification technology is widely applied in fields such as security and building management, and can detect the indoor population in real time in combination with millimeter-wave radar, infrared rays, or other human presence sensors. However, conventional technologies often use the two separately and cannot appropriately process earthquake warning information according to the situation of the people present. In an emergency, for example, when a large-scale earthquake occurs, if only one of the earthquake information or personnel information can be grasped, it is difficult to quickly link up rescue decisions, and the actual disaster response efficiency is limited.

[0003] Therefore, how to combine the earthquake warning and indoor population identification functions so that when the equipment detects earthquake warning information, it can simultaneously grasp the dynamics of the indoor population and control the warning strategy and rescue schedule based on the earthquake warning information and the dynamic population has become a technical problem that needs to be solved urgently.

Summary of the Invention

Problems to be Solved by the Invention

[0004] To address the problems of conventional technologies, the present invention provides a method and apparatus for linking earthquake warnings and indoor occupancy identification. By deeply integrating the earthquake warning function and the indoor occupancy identification function, the invention automatically determines the earthquake intensity and indoor occupancy information, and by combining this with the building's seismic design intensity, it triggers a more accurate warning level, thereby improving the efficiency and reliability of earthquake warnings and emergency rescue. [Means for solving the problem]

[0005] To achieve the above objective, the present invention provides the following scheme.

[0006] A method for linking earthquake warnings with the identification of the number of people inside a room, The method involves acquiring seismic waves in real time using an acceleration sensor, and then applying band-pass filtering to these seismic waves to obtain seismic waves with a high signal-to-noise ratio. Based on the aforementioned high signal-to-noise ratio seismic waves, the maximum acceleration, maximum velocity, and maximum displacement are determined, and the seismic intensity of the seismometer is predicted from the maximum acceleration, maximum velocity, and maximum displacement. This involves obtaining earthquake parameters announced by the national public warning system, including magnitude, epicenter, and focal depth. Obtain the location of the building inside the room and the seismic design seismic intensity, Based on the epicenter, the depth of the hypocenter, and the location of the building inside the room, the hypocenter distance is calculated, the earthquake warning intensity is calculated from the magnitude and the hypocenter distance, and the earthquake intensity is calculated from the seismic intensity of the seismometer and the earthquake warning intensity. The human presence sensor will acquire the number of people in the room in real time, The linked alarm level is determined based on the aforementioned earthquake intensity, the aforementioned seismic design intensity, and the aforementioned number of people in the room. This includes issuing an alarm and transmitting alarm information according to the aforementioned linked alarm level.

[0007] Preferably, the seismic waves include acceleration data in three directions, and the sampling frequency is set to 100 Hz, where the three directions are east-west, north-south, and vertical.

[0008] Preferably, the seismic waves are band-pass filtered to obtain seismic waves with a high signal-to-noise ratio. The process includes applying band-pass filtering to the acceleration data in the three directions of the seismic waves. The band-pass filtering employs a fourth-order Butterworth filter with a frequency range of 0.075Hz to 18Hz to filter out noise and interference signals in the data.

[0009] Preferably, predicting the seismic intensity of a seismometer from the maximum acceleration, maximum velocity, and maximum displacement includes the following equation:

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[0010] Preferably, calculating the earthquake intensity from the seismic intensity measured by the seismometer and the earthquake warning intensity includes the following equation:

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[0011] Preferably, the linked alarm level is determined based on the earthquake intensity, the seismic design intensity, and the number of people in the room. Based on earthquake seismic intensity and seismic design seismic intensity, a building damage probability prediction model will be constructed to determine the state of building damage during an earthquake, and To predict the number of casualties based on the probability of building damage and the number of people inside, This includes determining the level of linked warnings based on the extent of building damage and the number of casualties during an earthquake.

[0012] Preferably, the building damage probability prediction model is given by the following equation:

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[0013] Preferably, predicting the number of casualties based on the probability of building damage and the number of people inside the building involves the following equation:

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[0014] The present invention also provides a device for linking earthquake warnings and indoor occupancy identification, the system being used to implement the method described in any one of the present inventions, the device including: an earthquake wave acquisition module, a seismometer seismic intensity calculation module, an earthquake parameter acquisition module, a building parameter acquisition module, an earthquake seismic intensity calculation module, an indoor occupancy acquisition module, a linked alarm level determination module, and an alarm transmission module. The aforementioned seismic wave acquisition module is used to acquire seismic waves in real time using an acceleration sensor, and to perform band-pass filtering on the seismic waves to obtain seismic waves with a high signal-to-noise ratio. The seismometer's seismic intensity calculation module is used to determine the maximum acceleration, maximum velocity, and maximum displacement based on the high signal-to-noise ratio seismic waves, and to predict the seismic intensity of the seismometer from the maximum acceleration, maximum velocity, and maximum displacement. The aforementioned earthquake parameter acquisition module is used to acquire earthquake parameters announced by the national public warning system, including magnitude, epicenter, and focal depth. The aforementioned building parameter acquisition module is used to acquire the location of the building inside the room and the seismic design seismic intensity. The earthquake intensity calculation module is used to calculate the source distance based on the epicenter, the source depth, and the location of the building inside the room, to calculate the earthquake warning intensity from the magnitude and the source distance, and to calculate the earthquake intensity from the seismometer intensity and the earthquake warning intensity. The indoor population acquisition module is used to acquire the indoor population in real time using a human presence sensor. The linked warning level determination module is used to determine the linked warning level based on the earthquake intensity, the seismic design intensity, and the indoor population. The warning transmission module is used to issue a warning and transmit warning information according to the linked warning level.

[0015] The present invention also provides an electronic device for earthquake warnings and indoor population identification linked warnings, including a circuit, an acceleration sensor, a human presence sensor, an acoustic-optical warning device, a network communication electronic component, a processor, a memory, and a program stored in the memory and capable of executing calculations. The acceleration sensor, the human presence sensor, the acoustic-optical warning device, the network communication electronic component, the processor, and the memory are connected by a circuit, and when the processor executes the program, any one of the above methods is realized.

Advantages of the Invention

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows.

[0017] The present invention calculates the earthquake intensity of a seismograph by monitoring seismic waves and combines it with earthquake parameters provided by the national earthquake public warning system to calculate the earthquake intensity of the earthquake warning. By combining the earthquake intensity of the seismograph and the earthquake warning intensity, the earthquake intensity is accurately determined, and the ability to predict the impact of the earthquake is significantly improved. Furthermore, the present invention integrates the earthquake intensity, the seismic design intensity of the building, and the indoor population to determine the linked warning level, thereby enabling the warning level to cover more dimensional information and realizing accurate warnings. By this method, in an emergency, the rescue team can prioritize evacuation and rescue operations according to the distribution of the victims, ensure the purpose and immediacy of the rescue activities, and minimize casualties and property losses of personnel.

[0018] This invention can be applied to various indoor environments such as homes, offices, and schools, providing flexible and effective alarm and personnel protection solutions for different scenarios, thereby enhancing the overall level of vibration prevention and mitigation. [Brief explanation of the drawing]

[0019] To more clearly explain the technical scheme of the present invention, the drawings required for the embodiments are briefly described below. The drawings in the following description are only a few embodiments of the present invention, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without any creative effort. [Figure 1] This is a flowchart of a method for earthquake warning and indoor occupancy identification linked warning provided in one embodiment of the present invention. [Figure 2] This is a schematic diagram of an earthquake alarm and indoor occupancy identification linked alarm device provided in one embodiment of the present invention. [Figure 3] This is a schematic diagram of an electronic device used to realize an embodiment of the present invention. [Modes for carrying out the invention]

[0020] The technical schemes in embodiments of the present invention will be described below clearly and completely with reference to the accompanying drawings of embodiments of the present invention, but it is clear that the embodiments described are only a selection of embodiments of the present invention, and not all embodiments. All other embodiments obtained based on embodiments of the present invention, assuming that those skilled in the art do not perform any creative work, fall within the scope of the protection of the present invention.

[0021] To make the above-mentioned objectives, features, and advantages of the present invention clearer and easier to understand, the present invention will be described in more detail below with reference to the drawings and specific embodiments.

[0022] Example 1

[0023] As shown in Figure 1, an embodiment of the present invention provides a method for earthquake warning and indoor occupancy identification linked warning, and includes the following steps.

[0024] Step 101: Use an accelerometer to acquire seismic waves in real time.

[0025] The seismic waves include acceleration data in three directions (east-west, north-south, and vertical), and the sampling frequency is set to 100 Hz.

[0026] Step 102: The seismic waves are band-pass filtered to obtain seismic waves with a high signal-to-noise ratio.

[0027] The acceleration data from the three directions of the seismic waves is each subjected to band-pass filtering. A fourth-order Butterworth filter is used for the band-pass filtering, with a frequency range of 0.075Hz to 18Hz, to filter out noise and interference signals in the data.

[0028] Step 103: Based on seismic waves with a high signal-to-noise ratio, determine the maximum acceleration, maximum velocity, and maximum displacement.

[0029] For seismic waves with a high signal-to-noise ratio, acceleration data in three directions is integrated once for each direction to obtain velocity data in three directions, and displacement data in three directions is integrated once for each direction. The maximum acceleration value obtained by combining the acceleration data in three directions (square root of sum of squares) is calculated as the maximum acceleration value, the maximum velocity value obtained by combining the velocity data in three directions (square root of sum of squares) is calculated as the maximum velocity value, and the maximum displacement value obtained by combining the displacement data in three directions (square root of sum of squares) is calculated as the maximum displacement value.

[0030] Step 104: Predict the seismic intensity from the seismometer based on the maximum acceleration, maximum velocity, and maximum displacement.

[0031] We will construct an empirical formula to predict seismic intensity using the maximum acceleration, maximum velocity, and maximum displacement values.

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[0032] In the equation, Ii is the seismic intensity measured by the seismometer, PA is the maximum acceleration (in cm / s / s), PV is the maximum velocity (in cm / s), PD is the maximum displacement (in cm), and a, b, c, and d are regression coefficients. The regression coefficients can be obtained by regression from past earthquake records. Typically, PA, PV, and Pd all have a certain correlation with Ii. Here, we construct equation (1) by combining PA, PV, and Pd to predict Ii and improve the prediction accuracy of Ii.

[0033] Step 105: Obtain earthquake parameters announced by the national public warning system, including magnitude, epicenter, and focal depth.

[0034] Step 106: Obtain the location of the building where the interior is located.

[0035] The location of a building within an interior space is determined by its longitude and latitude.

[0036] Step 107: Calculate the distance from the epicenter, using the epicenter, focal depth, and location of the building inside the room. Calculate the distance from the longitude and latitude to determine the distance between the epicenter and the location of the building inside, and use this as the epicenter distance. Then, calculate the hypocenter distance from equation (2).

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[0037] Step 108: Calculate the earthquake warning intensity from the magnitude and distance from the epicenter.

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[0038] Step 109: Calculate the earthquake intensity from the seismometer intensity and the earthquake warning intensity.

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[0039] Step 110: Obtain the number of people in the room in real time using a human presence sensor.

[0040] Step 111: Obtain the seismic design seismic intensity of the building located indoors.

[0041] Step 112: Based on the earthquake intensity, the number of people inside the room, and the seismic design intensity, determine the linked alarm level. Based on the seismic intensity and the seismic design intensity, a building damage probability prediction model (Equation (5)) is constructed to determine the state of building damage when an earthquake occurs.

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[0042] Based on the probability of damage P, the building's condition is classified into the following four types: Minor damage (0 ≤ P < 0.3): The house is basically safe, and only minor non-structural damage may occur. Moderate damage (0.3 ≤ P < 0.7): There is a possibility of moderate damage to the house, and the structural stability will be affected to some extent. Severe damage (0.7 ≤ P < 0.9): There is a possibility of serious damage to the house, and the structural stability is significantly reduced. Catastrophic damage (P≧0.9): There is a very high probability that the house will collapse or suffer catastrophic damage.

[0043] Based on the probability of injury P and the number of people in the room, the number of casualties (including serious injuries and deaths) is predicted using the following formula.

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[0044] Based on the condition of buildings and the number of casualties during the earthquake, the linked alarm level is determined. Level 0: The building is in a condition with minor damage. Level 1: The building is moderately damaged, with 1-3 casualties. Level 2: The building is moderately damaged, with 4-9 casualties. Level 3: The building is moderately damaged, with 10-29 casualties. Level 4: The building is moderately damaged, and there are 30 or more casualties. Level 5: The building is severely damaged, with 1-3 casualties. Level 6: The building is severely damaged, with 4-9 casualties. Level 7: The building is severely damaged, with 10-29 casualties. Level 8: The building is severely damaged, with more than 30 casualties. Level 9: The building is in a state of catastrophic damage, with 1-3 casualties. Level 10: The building is in a state of catastrophic damage, with 4-9 casualties. Level 11: The building is in a state of catastrophic damage, with 10-29 casualties. Level 12: The building is in a state of catastrophic damage, with more than 30 casualties.

[0045] Step 113: Issue an alarm and transmit alarm information according to the linked alarm level.

[0046] If the linked alarm level is Level 1, an audio announcement will be made stating, "An earthquake has occurred, but the house is safe," and the linked alarm level, earthquake intensity, seismic design intensity, number of people inside the house, building condition, and number of casualties will be transmitted to the emergency response department.

[0047] If the linked alarm level is level 2 or higher, an acoustic-optical alarm is issued, and the linked alarm level, earthquake intensity, building seismic design intensity, and number of people inside the room are transmitted to the emergency rescue department.

[0048] Example 2

[0049] As shown in Figure 2, the earthquake warning and indoor occupancy identification linked warning system is as follows: An earthquake wave acquisition module 201 is configured to acquire earthquake waves in real time using an acceleration sensor, and to obtain earthquake waves with a high signal-to-noise ratio by band-pass filtering the earthquake waves, A seismometer seismic intensity calculation module 202 is configured to determine the maximum acceleration, maximum velocity, and maximum displacement based on seismic waves with a high signal-to-noise ratio, and to predict the seismic intensity of the seismometer from the maximum acceleration, maximum velocity, and maximum displacement. An earthquake parameter acquisition module 203 configured to acquire earthquake parameters announced by the national public warning system, including magnitude, epicenter, and focal depth, A building parameter acquisition module 204 configured to acquire the location of the building inside the room and the seismic design seismic intensity, An earthquake intensity calculation module 205 is configured to calculate the distance from the epicenter based on the epicenter, focal depth, and location of the building inside, calculate the earthquake warning intensity from the magnitude and focal distance, and calculate the earthquake intensity from the seismometer intensity and earthquake warning intensity. A room occupancy acquisition module 206 configured to acquire the number of people in a room in real time using a human presence sensor, An interlocking alarm level determination module 207 is configured to determine the interlocking alarm level based on the earthquake intensity, seismic design intensity, and the number of people in the room, The system includes an alarm transmission module 208 configured to issue alarms and transmit alarm information according to the linked alarm level.

[0050] Example 3

[0051] As shown in Figure 3, an embodiment of the present invention provides electronic equipment for earthquake warning and indoor occupancy identification linked warning, comprising an acceleration sensor, a human presence sensor, an acoustic optical alarm, network communication electronic components, a processor, memory, and a program stored in memory that can perform calculations, wherein the acceleration sensor, human presence sensor, acoustic optical alarm, network communication electronic components, processor, and memory are connected by a circuit, and the processor implements the method according to any one of the above embodiments when executing the program.

[0052] The embodiments described above merely illustrate preferred aspects of the present invention and do not limit the scope of the invention. Any modifications or improvements made by those skilled in the art to the technical solutions of the present invention, without departing from the spirit of the design of the present invention, shall all be included within the scope of protection set forth in the claims of the present invention.

Claims

1. A method for linking earthquake warnings with the identification of the number of people inside a room, The method involves acquiring seismic waves in real time using an acceleration sensor, and then applying band-pass filtering to these seismic waves to obtain seismic waves with a high signal-to-noise ratio. Based on the aforementioned high signal-to-noise ratio seismic waves, the maximum acceleration, maximum velocity, and maximum displacement are determined, and the seismic intensity of the seismometer is predicted from the maximum acceleration, maximum velocity, and maximum displacement. This involves obtaining earthquake parameters announced by the national public warning system, including magnitude, epicenter, and focal depth. Obtain the location of the building inside the room and the seismic design seismic intensity, Based on the epicenter, the depth of the hypocenter, and the location of the building inside the room, the hypocenter distance is calculated, the earthquake warning intensity is calculated from the magnitude and the hypocenter distance, and the earthquake intensity is calculated from the seismic intensity of the seismometer and the earthquake warning intensity. The human presence sensor will acquire the number of people in the room in real time, The linked alarm level is determined based on the aforementioned earthquake intensity, the aforementioned seismic design intensity, and the aforementioned number of people in the room. This includes issuing an alarm and transmitting alarm information according to the aforementioned linked alarm level, Determining the linked alarm level based on the aforementioned earthquake intensity, the aforementioned seismic design intensity, and the aforementioned number of people in the room is: Based on earthquake seismic intensity and seismic design seismic intensity, a building damage probability prediction model will be constructed to determine the state of building damage during an earthquake, and To predict the number of casualties based on the probability of building damage and the number of people inside, A method for linking earthquake warnings and indoor occupancy identification, characterized by including the determination of a linked warning level based on the building damage status and the number of casualties during an earthquake.

2. The method according to claim 1, characterized in that the seismic waves include acceleration data in three directions, the sampling frequency is set to 100 Hz, and the three directions are east-west, north-south, and vertical.

3. By applying band-pass filtering to the aforementioned seismic waves to obtain seismic waves with a high signal-to-noise ratio, The method according to claim 2, characterized in that it includes band-pass filtering of acceleration data in three directions of the seismic wave, wherein the band-pass filtering employs a fourth-order Butterworth filter with a frequency range of 0.075 Hz to 18 Hz, and filters out noise and interference signals in the data.

4. Predicting seismic intensity from the maximum acceleration, maximum velocity, and maximum displacement of a seismograph involves the following equation: [Math 1] The method according to claim 1, characterized in that, in the formula, Ii is the seismic intensity of the seismometer, PA is the maximum acceleration value, PV is the maximum velocity value, PD is the maximum displacement value, and a, b, c, and d are regression coefficients.

5. Calculating the seismic intensity from the seismic intensity measured by the seismometer and the earthquake warning intensity involves the following equation: [Math 2] The method according to claim 1, characterized in that, in the formula, I is the seismic intensity, Ii is the seismometer intensity, Iw is the earthquake warning intensity, w1 and w2 are weights, and the sum of the two is 1.

6. The aforementioned building damage probability prediction model is given by the following equation: [Math 3] In the formula, P is the probability of building damage, I is the seismic intensity, and I ０ The method according to claim 5, characterized in that k is the seismic design intensity, k is a coefficient for adjusting the steepness of the probability curve, and α is a structural correction coefficient of a value related to the structural type of the house, building quality, and years of use.

7. Predicting the number of casualties based on the probability of building damage and the number of people inside the building involves the following equation: [Math 4] The method according to claim 6, characterized in that, here, C is the number of casualties, N is the number of people inside the building, P is the probability of building damage, and β is the proportionality coefficient for casualties, with a range of values ​​from 0 to 1.

8. An earthquake alarm and indoor occupancy identification linked device, the device is used to implement the method according to any one of claims 1 to 7, the device includes an earthquake wave acquisition module, a seismometer seismic intensity calculation module, an earthquake parameter acquisition module, a building parameter acquisition module, an earthquake seismic intensity calculation module, an indoor occupancy acquisition module, a linked alarm level determination module, and an alarm transmission module. The aforementioned seismic wave acquisition module is used to acquire seismic waves in real time using an acceleration sensor, and to perform band-pass filtering on the seismic waves to obtain seismic waves with a high signal-to-noise ratio. The seismometer's seismic intensity calculation module is used to determine the maximum acceleration, maximum velocity, and maximum displacement based on the high signal-to-noise ratio seismic waves, and to predict the seismic intensity of the seismometer from the maximum acceleration, maximum velocity, and maximum displacement. The aforementioned earthquake parameter acquisition module is used to acquire earthquake parameters announced by the national public warning system, including magnitude, epicenter, and focal depth. The aforementioned building parameter acquisition module is used to acquire the location of the building inside the room and the seismic design seismic intensity. The earthquake intensity calculation module is used to calculate the source distance based on the epicenter, the source depth, and the location of the building inside the room, to calculate the earthquake warning intensity from the magnitude and the source distance, and to calculate the earthquake intensity from the seismometer intensity and the earthquake warning intensity. The aforementioned room occupancy acquisition module is used to acquire the number of people in a room in real time using a human presence sensor. The linked alarm level determination module is used to determine the linked alarm level based on the earthquake intensity, the seismic design intensity, and the number of people in the room. The alarm transmission module is used to issue alarms and transmit alarm information according to the linked alarm level. The aforementioned interlocking alarm level determination module is Based on earthquake intensity and seismic design intensity, a building damage probability prediction model is constructed to determine the state of building damage during an earthquake. Based on the probability of building damage and the number of people inside, the number of casualties is predicted. An earthquake alarm and indoor occupancy identification linked device characterized by being configured to determine the linked alarm level based on the extent of building damage and the number of casualties during an earthquake.

9. Electronic device for earthquake warning and indoor occupancy identification linked warning, comprising a circuit, an acceleration sensor, a human presence sensor, an acoustic optical alarm, a network communication electronic component, a processor, a memory, and a program stored in the memory capable of performing calculations, wherein the acceleration sensor, the human presence sensor, the acoustic optical alarm, the network communication electronic component, the processor, and the memory are connected by a circuit, and the processor implements the method according to any one of claims 1 to 7 when executing the program.

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