A smart monitoring-based home danger prompting method and system, and a storage medium

Abstract

The application discloses a kind of based on intelligent monitoring home danger prompt method, system and storage medium, belong to home safety protection technical field, wherein method includes: fire alarm in kitchen detects fire when emitting sound and light alarm, gas alarm in kitchen detects gas leak when emitting sound and light alarm;Home camera captures the action information of old people, respectively open the sound level of fire alarm and gas alarm according to time period;Fire trend is predicted according to fire prediction model to judge fire grade;Combining the first preset algorithm obtains the first ability value;First ability value and fire grade are compared, to assess whether the current old people have the ability to independently respond to fire;Combining the second preset algorithm obtains the second ability value, the second ability value is compared with the ability threshold, to assess whether the current old people have the ability to independently respond to gas leak.Prompt is made according to the physical condition of old people, avoid wasting resources, and rescue in time.

Description

Technical Field

[0001] This invention relates to the field of home safety protection technology, specifically to a method, system, and storage medium based on intelligent monitoring of home hazards. Background Technology

[0002] Currently, with the rapid development of urbanization, people's living environment and lifestyles have gradually changed. Buildings have separated people's lives and severed connections between them. This is especially true for elderly people living alone and young people who work away from home and live alone. If they are unable to move in the event of a sudden accident such as a gas leak or fire while living alone, it will pose a serious threat to their lives.

[0003] The function of family-based elder care is increasingly weakened, with the responsibility for elderly care shifting from families to social elder care services. Elderly people living alone have become a significant social issue and are receiving considerable attention. Due to declining physical function and immune systems, the elderly are often unable to cope independently in the event of a gas leak or fire. Furthermore, accidents involving elderly people living alone are often difficult to detect in time, delaying treatment and leading to irreparable regrets. Therefore, if abnormalities can be detected immediately after an accident, and the elderly person's family, community caregivers, or medical professionals are notified promptly, the health and even lives of many elderly people living alone can be saved, with immense social significance.

[0004] Therefore, how to provide a home hazard warning method that can provide targeted warnings based on the elderly person's physical condition in the event of a fire or gas leak is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] Therefore, the present invention provides a method, system and storage medium based on intelligent monitoring of home hazards to solve the problem in the prior art that elderly people living alone are unable to cope with gas leaks or fire hazards due to declining physical condition.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] According to a first aspect of the present invention, a method for providing home hazard alerts based on intelligent monitoring is provided, comprising the following steps:

[0008] S1: The fire alarm in the kitchen will issue an audible and visual alarm when it detects a fire, and the gas alarm in the kitchen will issue an audible and visual alarm when it detects a gas leak; wherein the sound levels of the fire alarm and the gas alarm include at least a first sound level, a second sound level and a third sound level.

[0009] S2: The home camera captures the elderly person's movement information and activates the sound levels of the fire alarm and the gas alarm according to the time period.

[0010] S3: Based on the fire alarm in the kitchen, an audible and visual alarm is issued; the fire image is obtained using the kitchen camera; and the fire trend is predicted and the fire level is determined according to the fire prediction model. The first physical condition information and degree of physical disability of the elderly are obtained using the portable detection device worn by the elderly, and a first capability value is obtained by combining the first preset algorithm. The first capability value and the fire level are compared to assess whether the elderly currently have the ability to deal with the fire independently.

[0011] S4: Based on the gas alarm in the kitchen emitting an audible and visual alarm, the elderly person's second physical condition information is obtained using a portable detection device worn by the elderly person, and the elderly person's clinical manifestations are obtained using a home camera. A second ability value is obtained by combining the second preset algorithm. The second ability value is compared with the ability threshold to assess whether the elderly person currently has the ability to deal with gas leaks independently.

[0012] Further, step S2 specifically includes the following steps: when the home camera does not capture the elderly person's movement information within a first time period, the sound level of the fire alarm and the gas alarm is at the first sound level; when the home camera still does not capture the elderly person's movement information within a second time period, the sound level of the fire alarm and the gas alarm is at the second sound level; and when the home camera still does not capture the elderly person's movement information within a third time period, the sound level of the fire alarm and the gas alarm is at the third sound level.

[0013] Furthermore, the action information in step S2 includes the elderly person's trend toward the kitchen and the elderly person's facial expression information, including the elderly person's expression when they smelled an odor and their panicked expression.

[0014] Furthermore, the first sound level of the fire alarm and the gas alarm has a decibel value of 40-50, the second sound level of the fire alarm and the gas alarm has a decibel value of 50-60, and the third sound level of the fire alarm and the gas alarm has a decibel value of 60-70.

[0015] Furthermore, the first preset algorithm is:

[0016] W1=β1f(x1)+β2f(x2)+β3f(x3)+β4f(x4)+αf(y)

[0017] Wherein, W1 is the first capability value, f(x1) is the preset function of the elderly's heart rate, f(x2) is the preset function of the elderly's blood pressure, f(x3) is the preset function of the elderly's blood sugar, f(x4) is the preset function of the elderly's blood oxygen, f(y) is the preset function of the elderly's degree of physical disability, β1 is the preset weight of f(x1), β2 is the preset weight of f(x2), β3 is the preset weight of f(x3), β4 is the preset weight of f(x4), and α is the preset weight of f(y).

[0018] Furthermore, the second preset algorithm is as follows:

[0019]

[0020] Where W2 is the second capability value, f(x4) is the preset function for the elderly's blood oxygen saturation, β4 is the preset weight of f(x4), and f A (a1) is a preset function for the clinical manifestations of the elderly, and a2 is the duration of the clinical manifestations.

[0021] Furthermore, the fire levels include Level 1 fire, Level 2 fire and Level 3 fire, with Level 1 fire corresponding to a first preset capacity range, Level 2 fire corresponding to a second preset capacity range, and Level 3 fire corresponding to a third preset capacity range.

[0022] Furthermore, the fire prediction model in step S3 is as follows:

[0023]

[0024] Where FHR is the fire rating, S is the area of ​​the kitchen, h(e) is a preset function for the size of the flame, q is the amount of flammable material around the flame, and h(t) is a preset function for the time it takes for the elderly person to arrive at the kitchen.

[0025] Furthermore, step S3 also includes taking a first rescue measure if the elderly person is currently unable to cope with the fire independently. The first rescue measure is to close the kitchen door and control the sprinkler system in the kitchen to extinguish the fire by spraying water, and to establish communication with the outside world.

[0026] Furthermore, step S4 also includes taking a second rescue measure if the elderly person is currently unable to cope with the gas leak independently. The second rescue measure is to close the kitchen door and open the kitchen window, and establish communication with the outside world.

[0027] According to a second aspect of the present invention, a home hazard warning system based on intelligent monitoring is provided for implementing the home hazard warning method based on intelligent monitoring as described above. The system includes a fire alarm, a gas alarm, a camera, a portable detection device, a central processing unit, a door magnetic valve, a window magnetic valve, and a communication module. The fire alarm and the gas alarm are located in the kitchen. The camera is located in both the kitchen and the bedroom. The portable detection device is worn by an elderly person. The camera is used to capture the elderly person's clinical manifestations and movement information. The portable detection device is used to detect the elderly person's physical condition. The central processing unit is used to receive and process information. A door magnetic valve is located on the kitchen door, and a window magnetic valve is located on the kitchen window. The communication module is communicatively connected to the central processing unit.

[0028] According to a third aspect of the present invention, a storage medium is provided, including a program and instructions, wherein when the program or instructions are run on a computer, the above-described method for intelligent monitoring of home hazards is implemented.

[0029] The present invention has the following advantages:

[0030] This invention uses a home camera to capture the elderly person's movement information and activates the sound levels of fire alarms and gas alarms according to time periods, gradually increasing the decibel level. By observing the elderly person's movements, it determines whether they hear the alarm and increases the decibel level until they do. The decibel value gradually increases from low to high to avoid directly startling the elderly person. This invention also uses a fire prediction model to predict fire trends and determine the fire level, and combines this with a first preset algorithm to derive a first capability value, thereby assessing whether the elderly person has the ability to handle a fire independently. If the elderly person can handle the fire independently, resources are not wasted. If the elderly person cannot handle the fire independently, rescue measures are taken, and timely assistance is provided to elderly people living alone. Furthermore, this invention uses a second preset algorithm to derive a second capability value, thereby assessing whether the elderly person has the ability to handle a gas leak independently. If the elderly person can handle the gas leak independently, resources are not wasted. If the elderly person cannot handle the gas leak independently, rescue measures are taken, and timely assistance is provided to elderly people living alone. Attached Figure Description

[0031] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0032] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0033] Figure 1 A flowchart illustrating a method for intelligent monitoring and home hazard alerts provided by this invention;

[0034] Figure 2 This invention provides a connection block diagram for a smart home hazard monitoring and alert system. Detailed Implementation

[0035] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] According to a first aspect of the present invention, a method for providing home hazard alerts based on intelligent monitoring is provided, comprising the following steps:

[0037] S1: The fire alarm in the kitchen will sound an audible and visual alarm when it detects a fire, and the gas alarm in the kitchen will sound an audible and visual alarm when it detects a gas leak. The sound levels of the fire alarm and gas alarm shall include at least a first sound level, a second sound level, and a third sound level. The decibel value of the first sound level of the fire alarm and gas alarm is 40-50, the decibel value of the second sound level is 50-60, and the decibel value of the third sound level is 60-70.

[0038] S2: The home security camera captures the elderly person's movement information and activates the fire alarm and gas alarm at different levels based on the time of day. The movement information includes the elderly person's tendency to move towards the kitchen and their facial expressions, including expressions of alarm upon smelling an unusual odor and expressions of fear. When an elderly person living alone exhibits these facial expressions and movements, it indicates that they have heard the alarm and reacted to the potential danger.

[0039] Specifically, if the home camera does not capture any movement from the elderly person within the first time period, the sound level of the fire alarm and gas alarm is at the first level; if the home camera still does not capture any movement from the elderly person within the second time period, the sound level of the fire alarm and gas alarm is at the second level; if the home camera still does not capture any movement from the elderly person within the third time period, the sound level of the fire alarm and gas alarm is at the third level. The alarm decibels of the fire alarm and gas alarm are gradually increased, and the elderly person's movements are observed to determine whether they hear the alarm, increasing the alarm decibels until they do hear it. Existing alarms have high decibel values, which can cause panic and frighten the elderly. The alarm in this invention gradually increases in decibel value from low to high, avoiding directly frightening the elderly person.

[0040] For example, if a fire alarm detects a fire or a gas alarm detects a gas leak, and the home camera does not capture the elderly person's movements within 0-10 seconds, the sound level of the fire alarm and gas alarm will be at the first level; if the home camera still does not capture the elderly person's movements within 10-20 seconds, the sound level of the fire alarm and gas alarm will be at the second level; and if the home camera still does not capture the elderly person's movements within 20-30 seconds, the sound level of the fire alarm and gas alarm will be at the third level.

[0041] S3: Based on the fire alarm in the kitchen, an audible and visual alarm is issued, fire images are obtained using a kitchen camera, and the fire trend is predicted and the fire level is determined based on the fire prediction model.

[0042] The fire prediction model is as follows:

[0043]

[0044] Where FHR is the fire rating, S is the area of ​​the kitchen, h(e) is a preset function for the size of the flame, q is the amount of flammable material around the flame, and h(t) is a preset function for the time it takes for the elderly person to arrive at the kitchen.

[0045] Fire images are used to obtain the current size of the fire and the amount of flammable material around it; the more flammable material around the fire, the larger the fire is. A fire prediction model simulates the kitchen fire trend during the time the elderly person arrives at the kitchen, and then predicts the fire level. Fire levels include Level 1, Level 2, and Level 3 fires. Level 1 fires correspond to a first preset capability range, Level 2 fires correspond to a second preset capability range, and Level 3 fires correspond to a third preset capability range. The first preset capability range is greater than or equal to Q1, the second preset capability range is greater than or equal to Q2, and the third preset capability range is greater than or equal to Q3, where Q3 > Q2 > Q1.

[0046] By using portable detection devices worn by the elderly, such as smart bracelets, the system obtains the elderly’s initial physical condition information and degree of physical disability, and combines this information with a pre-set algorithm to derive an initial ability value.

[0047] The first preset algorithm is:

[0048] W1=β1f(x1)+β2f(x2)+β3f(x3)+β4f(x4)+αf(y)

[0049] Wherein, W1 is the first capability value, f(x1) is the preset function of the elderly's heart rate, f(x2) is the preset function of the elderly's blood pressure, f(x3) is the preset function of the elderly's blood sugar, f(x4) is the preset function of the elderly's blood oxygen, f(y) is the preset function of the elderly's degree of physical disability, β1 is the preset weight of f(x1), β2 is the preset weight of f(x2), β3 is the preset weight of f(x3), β4 is the preset weight of f(x4), and α is the preset weight of f(y).

[0050] Heart rate, blood pressure, blood sugar, and blood oxygen are indicators for assessing an elderly person's physical condition. Combining multiple indicators allows for a comprehensive evaluation of the elderly person's current health status. Only those in generally good physical condition possess the ability to extinguish fires. The degree of physical disability is also an indicator of an elderly person's capabilities. If an elderly person is paralyzed in the lower limbs and lacks independent mobility, they also lack the ability to respond to a fire. If an elderly person has only minor injuries to some finger or leg joints and retains independent mobility, they also possess the ability to respond to a fire. A higher primary capability score indicates a better physical condition and a less severe disability, while a lower score indicates a more severe disability and a more severe disability.

[0051] The first capability value is obtained by combining the first preset algorithm. It is then determined whether the first capability value falls within the preset range of the corresponding fire level. If the condition is met, it means that the elderly person currently has the ability to deal with the fire independently, and the elderly person should deal with the fire independently and extinguish it. If the condition is not met, it means that the elderly person currently does not have the ability to deal with the fire independently, and the first rescue measure is adopted. The first rescue measure is to close the kitchen door and control the sprinkler system in the kitchen to spray water to extinguish the fire, and establish communication with the outside world.

[0052] S4: Based on the audible and visual alarm from the gas alarm in the kitchen, a portable detection device worn by the elderly person is used to obtain secondary physical condition information. A home camera is used to capture the elderly person's clinical manifestations, such as dizziness, headache, nausea, vomiting, or unsteady gait, after inhaling gas. A second capability value is derived using a second preset algorithm. This second capability value is compared with a capability threshold to assess whether the elderly person currently has the ability to independently cope with a gas leak.

[0053] The second preset algorithm is:

[0054]

[0055] Where W2 is the second capability value, f(x4) is the preset function for the elderly's blood oxygen saturation, β4 is the preset weight of f(x4), and f A (a1) is a preset function for the clinical manifestations of the elderly, and a2 is the duration of the clinical manifestations.

[0056] If a person inhales leaked gas, it can cause harm to the body, directly manifesting as low blood oxygen levels that can be life-threatening. The risk of a gas leak is assessed by monitoring the blood oxygen levels of elderly individuals. If blood oxygen levels are low and the clinical symptoms are pronounced and prolonged, it indicates a lower secondary oxygen saturation level; conversely, higher levels indicate a higher secondary oxygen saturation level.

[0057] The second capability value is obtained by combining the second preset algorithm. The second capability value is compared with the capability threshold. If the second capability value is greater than the capability threshold, it means that the elderly person has the ability to deal with the gas leak independently. In this case, the elderly person should deal with the gas leak independently by turning off the gas and opening the window for ventilation. If the second capability value is less than the capability threshold, it means that the elderly person does not have the ability to deal with the gas leak independently. The second rescue measure is to close the kitchen door and open the kitchen window and establish communication with the outside world.

[0058] By calculating a first capability value and comparing it with a preset range, and calculating a second capability value and comparing it with a capability threshold, the system can provide targeted alerts based on the elderly person's physical condition in the event of a fire or gas leak, thus avoiding wasting resources and providing timely assistance to the elderly.

[0059] According to a second aspect of the present invention, a home hazard warning system based on intelligent monitoring is provided, comprising a fire alarm, a gas alarm, a camera, a portable detection device, a central processing unit, a door magnetic valve, a window magnetic valve, and a communication module. The fire alarm and gas alarm are installed in the kitchen, and cameras are installed in both the kitchen and the bedroom. The elderly person wears a portable detection device. The camera is used to capture the elderly person's clinical manifestations and movement information, and the portable detection device is used to detect the elderly person's physical condition. The central processing unit is used to receive and process information. A door magnetic valve is installed on the kitchen door, and a window magnetic valve is installed on the kitchen window. The communication module is communicatively connected to the central processing unit.

[0060] When the first rescue measure is implemented, the central processing unit controls the door magnetic valve to close the kitchen door, isolating the elderly person from the kitchen and protecting them from harm. When the second rescue measure is implemented, the central processing unit controls the door magnetic valve to close the kitchen door and controls the window magnetic valve to open the kitchen window, allowing ventilation and preventing excessive gas concentration in the enclosed kitchen from causing a fire. The communication module establishes communication links with the elderly person's family, community caregivers, or medical workers to promptly understand the elderly person's situation and provide rescue, avoiding delays in treatment.

[0061] According to a third aspect of the present invention, a storage medium is provided, including a program and instructions, wherein the above-described method for intelligent monitoring of home hazards is implemented when the program or instructions are run on a computer.

[0062] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A method for providing home hazard alerts based on intelligent monitoring, characterized in that, Includes the following steps: S1: The fire alarm in the kitchen will issue an audible and visual alarm when it detects a fire, and the gas alarm in the kitchen will issue an audible and visual alarm when it detects a gas leak; wherein the sound levels of the fire alarm and the gas alarm include at least a first sound level, a second sound level and a third sound level. S2: The home camera captures the elderly person's movement information and activates the sound levels of the fire alarm and the gas alarm according to the time period. S3: Based on the fire alarm in the kitchen, an audible and visual alarm is issued; the fire image is obtained using the kitchen camera; and the fire trend is predicted and the fire level is determined according to the fire prediction model. The first physical condition information and degree of physical disability of the elderly are obtained using the portable detection device worn by the elderly, and a first capability value is obtained by combining the first preset algorithm. The first capability value and the fire level are compared to assess whether the elderly currently have the ability to deal with the fire independently. S4: Based on the gas alarm in the kitchen, an audible and visual alarm is issued. The elderly person's second physical condition information is obtained using a portable detection device worn by the elderly person. The elderly person's clinical manifestations are obtained using a home camera. A second ability value is obtained by combining the second preset algorithm. The second ability value is compared with the ability threshold to assess whether the elderly person currently has the ability to deal with gas leaks independently. The first preset algorithm is: ； Wherein, W1 is the first capability value, f(x1) is the preset function of the elderly's heart rate, f(x2) is the preset function of the elderly's blood pressure, f(x3) is the preset function of the elderly's blood sugar, f(x4) is the preset function of the elderly's blood oxygen, f(y) is the preset function of the elderly's degree of physical disability, β1 is the preset weight of f(x1), β2 is the preset weight of f(x2), β3 is the preset weight of f(x3), β4 is the preset weight of f(x4), and α is the preset weight of f(y). The second preset algorithm is: ； Where W2 is the second capability value, f(x4) is the preset function for the elderly's blood oxygen saturation, β4 is the preset weight of f(x4), and f A (a1) is a preset function for the clinical manifestations of the elderly, which include dizziness, headache, nausea, vomiting or unsteady gait, and a2 is the duration of the clinical manifestations. Step S3 also includes adopting a first rescue measure if the elderly person does not currently have the ability to deal with the fire independently. The first rescue measure is for the central processor to close the kitchen door and control the sprinkler system in the kitchen to spray water to extinguish the fire, and to establish communication with the outside world. Step S4 also includes a second rescue measure if the elderly person is currently unable to cope with the gas leak independently. The second rescue measure is for the central processing unit to close the kitchen door and open the kitchen window, and establish communication with the outside world.

2. The method for home hazard alerts based on intelligent monitoring as described in claim 1, characterized in that, Step S2 specifically includes the following steps: when the home camera does not capture the elderly person's movement information within a first time period, the sound level of the fire alarm and the gas alarm is at the first sound level; when the home camera still does not capture the elderly person's movement information within a second time period, the sound level of the fire alarm and the gas alarm is at the second sound level; and when the home camera still does not capture the elderly person's movement information within a third time period, the sound level of the fire alarm and the gas alarm is at the third sound level.

3. The method for home hazard alerts based on intelligent monitoring as described in claim 1, characterized in that, The action information in step S2 includes the elderly person's trend toward the kitchen and the elderly person's facial expression information, including the elderly person's expression when they smelled an odor and their panicked expression.

4. The method for home hazard alerts based on intelligent monitoring as described in claim 2, characterized in that, The first sound level of the fire alarm and the gas alarm is 40-50 decibels, the second sound level of the fire alarm and the gas alarm is 50-60 decibels, and the third sound level of the fire alarm and the gas alarm is 60-70 decibels.

5. The method for home hazard alerts based on intelligent monitoring as described in claim 1, characterized in that, The fire levels include Level 1 fire, Level 2 fire and Level 3 fire. Level 1 fire corresponds to a first preset capacity range, Level 2 fire corresponds to a second preset capacity range, and Level 3 fire corresponds to a third preset capacity range.

6. The method for home hazard alerts based on intelligent monitoring as described in claim 1, characterized in that, The fire prediction model in step S3 is: ； Where FHR is the fire rating, S is the area of ​​the kitchen, h(e) is a preset function of the size of the flame, q is the amount of flammable material around the flame, and h(t) is a preset function of the time it takes for the elderly to arrive at the kitchen.

7. A home hazard warning system based on intelligent monitoring, used to implement the home hazard warning method based on intelligent monitoring as described in any one of claims 1-6, characterized in that, The system includes a fire alarm, a gas alarm, a camera, a portable detection device, a central processing unit, a door magnetic valve, a window magnetic valve, and a communication module. The fire alarm and the gas alarm are installed in the kitchen. The camera is installed in both the kitchen and the bedroom. The elderly person wears the portable detection device. The camera is used to capture the elderly person's clinical manifestations and movement information. The portable detection device is used to detect the elderly person's physical condition. The central processing unit is used to receive and process information. A door magnetic valve is installed on the kitchen door, and a window magnetic valve is installed on the kitchen window. The communication module is connected to the central processing unit.

8. A storage medium comprising a program and instructions, wherein when the program or instructions are run on a computer, the method for intelligent monitoring and home hazard alerts as described in any one of claims 1-6 is implemented.

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