Monitoring accompanying interaction system for whole house scene

Abstract

The invention relates to the technical field of whole house scene monitoring and accompanying, and discloses a whole house scene monitoring and accompanying interaction system, which comprises a data acquisition module, a data analysis and processing module and an alarm module, and is characterized in that the data acquisition module comprises a human body data acquisition unit, a whole house data acquisition unit and a monitoring data acquisition unit; human body health data, whole house data and human body monitoring data are collected to form a data set, the data set is sent to the data analysis and processing module, human body health data change values, whole house data change values and human body monitoring change values are calculated and then compared with corresponding threshold values, and therefore whether the elderly have body abnormalities or not is judged. Whether the safety environment of the whole house is abnormal or not is judged, a signal is transmitted to the alarm module to give an alarm when the abnormal condition occurs, the problems that the physical condition of the old man is abnormal, the old man tumbles, water and electricity potential safety hazards in the house, the gas is forgotten to be turned off or the fire tendency exists can be recognized in the first time, and life safety guarantee of the left-behind old man is comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring and accompanying technology for whole-house scenes, and in particular to a monitoring and accompanying interactive system for whole-house scenes. Background Art

[0002] With the acceleration of urbanization, the younger generation has moved to cities in large numbers in pursuit of better development opportunities, while elderly parents choose to stay in rural areas due to traditional concepts, living habits, physical conditions and other reasons, forming this special group. According to statistics, as of 2024, there will be approximately 16 million left-behind elderly people in rural China. Their living environment, physical and mental health, and social status have become the focus of social attention. Due to the absence of family members, left-behind elderly people often lack communication with others and are prone to loneliness and neglect. Long-term social isolation may lead to mental health problems such as depression and anxiety. The problem of left-behind elderly people in rural areas cannot be ignored in the process of urbanization. Family members should continue to pay attention and work hard to gradually improve the living conditions of left-behind elderly people in rural areas so that they can enjoy their old age.

[0003] As the elderly are older and their organ functions decline, they are prone to different levels of health conditions in all aspects of their body. At the same time, if there is no dedicated caregiver, they are prone to forgetting to turn off water, electricity, and gas due to memory loss, which can cause a series of safety accidents and make it difficult to ensure the personal safety of the elderly. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the existing technology, the present invention provides a monitoring and companionship interactive system for the whole house, which has the advantages of being able to immediately identify problems such as abnormal physical conditions of the elderly, falls of the elderly, safety hazards of water and electricity in the house, forgotten gas turning off or fire trends, etc., thereby comprehensively improving the life safety of left-behind elderly people and solving the above problems.

[0005] (II) Technical solution To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a monitoring and companionship interaction system for the whole house scene, comprising a data acquisition module, a data analysis and processing module and an alarm module; The data acquisition module includes a human body data acquisition unit, a whole house data acquisition unit and a monitoring data acquisition unit. The human body data acquisition unit is connected to the intelligent monitoring bracelet through the network to collect and number the human health data of the elderly to form a human health data set. The whole house data acquisition unit collects and numbers the whole house data by connecting multiple groups of sensors to form a whole house data set. The monitoring data acquisition unit collects and numbers the human body monitoring data of the distance between the human head and the ground by connecting multiple groups of monitors to form a human body monitoring data set. The data acquisition module sends the collected data set to the data analysis and processing module; The data analysis and processing module calculates the human health data change value according to the human health data set, the whole house data set, and the human monitoring data set. , change value of whole house data , Human body monitoring change value ; The data analysis and processing module has a preset human health data threshold. Threshold value of human monitoring data , and change values ​​according to human health data , Human body monitoring change value Compare with the corresponding threshold to determine whether the elderly have any physical abnormalities. If an abnormality occurs, the signal is transmitted to the alarm module; The data analysis and processing module has a preset data threshold for the whole house. , and change the value according to the whole house data Compare with the threshold to determine whether there is any abnormality in the security environment of the whole house. When an abnormality occurs, the signal is transmitted to the alarm module; The alarm module is internally provided with a network alarm unit and a sound alarm unit. The network alarm unit automatically contacts the emergency contact through the network, and the sound alarm unit emits an alarm sound by connecting to a buzzer.

[0006] Preferably, the number of the human health data set is ,in Represents heart rate data, Represents blood pressure data, Represents blood oxygen data, Represents body temperature data.

[0007] Preferably, the human health data change value The calculation method is as follows:

[0008] In the above formula, Represents the human health collection time.

[0009] Preferably, the number of the whole house data set is , , , ,in Represents hydropower, Represents gas, represents temperature, Represents smoke information.

[0010] Preferably, the whole house data change value The calculation method is:

[0011] In the above formula, Represents the current water and electricity data in the whole house dataset, The previous set of water and electricity data representing the current water and electricity data in the whole house dataset, Represents the current gas data in the whole house data set, Represents the previous set of gas data of the current gas data in the whole house dataset, Represents the current temperature data in the whole house dataset, Represents the previous set of temperature data of the current temperature data in the whole house dataset, Represents the current smoke data in the whole house dataset, Represents the previous set of smoke data of the current smoke data in the whole house dataset.

[0012] Preferably, the number of the human monitoring data set is ,in, and They correspond to the first and last data in the human monitoring data set, respectively. Indicates that the collected data has indivual.

[0013] Preferably, the human body monitoring change value The calculation method is as follows:

[0014] In the above formula, Represents any current data in the human monitoring data set, which can be any data in the human monitoring data set. Represents the previous data of any current data in the human monitoring dataset.

[0015] Preferably, when When , it means that the change value of the human health data exceeds the human health data threshold, there may be an abnormality in the elderly's physical condition, and the abnormal signal is sent to the alarm module for an alarm.

[0016] Preferably, when When , it means that the human monitoring change value exceeds the human monitoring data threshold, there may be problems such as elderly people falling, and the abnormal signal is sent to the alarm module for alarm.

[0017] Preferably, when When , it means that the change value of the whole house data exceeds the whole house data threshold. There may be hidden dangers of water and electricity safety in the house, gas forgotten to be turned off, or there may be a fire trend. The abnormal signal will be sent to the alarm module for alarm.

[0018] Compared with the prior art, the present invention provides a monitoring and companionship interactive system for the entire house, which has the following beneficial effects: 1. The present invention forms a human health data set by combining heart rate, blood pressure, blood oxygen data, and body temperature data, so as to comprehensively monitor the physical health of the elderly, thereby understanding the physical health of the elderly in real time from multiple aspects, facilitating timely discovery of physical health problems, and increasing the protection of the physical safety of left-behind elderly people. By combining water, electricity, gas, temperature, and smoke information to form a whole-house data set, the whole-house scene can be comprehensively monitored to avoid water and electricity safety hazards and fire problems caused by gas leakage when the left-behind elderly live alone at home, thereby improving the safety of the whole house of the left-behind elderly. By combining multiple groups of human monitoring data of the distance between the human head and the ground to form a human monitoring data set, it can be discovered in time in the event of an accident such as a fall, avoiding the problem of a fall without help, which will have a huge impact on the body in the future.

[0019] 2. The present invention calculates the human health data change value based on the human health data set, the whole house data set, and the human monitoring data set , change value of whole house data , Human body monitoring change value , and then respectively compared with the human health data threshold , Human monitoring data threshold , Whole house data threshold By making comparative judgments, it can immediately identify any abnormal physical condition of the elderly, falls of the elderly, safety hazards of water and electricity in the house, gas forgotten to be turned off, or fire trends. It can then identify abnormal signals and directly contact the guardian through the alarm module while sounding the alarm, thereby comprehensively improving the physical and whole-house safety, and enhancing the safety of the lives of left-behind elderly people. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the structural system of the present invention; DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1 , a monitoring and companionship interactive system for the whole house scene, including a data acquisition module, a data analysis and processing module, and an alarm module; The data acquisition module includes a human body data acquisition unit, a whole house data acquisition unit and a monitoring data acquisition unit. The human body data acquisition unit is connected to the intelligent monitoring bracelet through the network, and collects and numbers the human health data of the elderly to form a human health data set. The whole house data acquisition unit collects and numbers the whole house data by connecting multiple sets of sensors to form a whole house data set. The monitoring data acquisition unit collects and numbers the human body monitoring data of the distance between the human head and the ground by connecting multiple sets of monitors to form a human body monitoring data set. The data acquisition module sends the collected data set to the data analysis and processing module; The number of human health datasets is ,in Represents heart rate data, Represents blood pressure data, Represents blood oxygen data, Represents body temperature data; The number of the whole house dataset is , , , ,in Represents hydropower, Represents gas, represents temperature, Represents smoke information; The number of human monitoring datasets is ,in, and They correspond to the first and last data in the human monitoring data set, respectively. Indicates that the collected data has indivual; By combining heart rate, blood pressure, blood oxygen data, and body temperature data to form a human health data set, the physical health of the elderly can be fully monitored, so as to understand the physical health of the elderly in real time from multiple aspects, which is convenient for timely discovery of physical health problems and increases the physical safety of left-behind elderly people. By combining water, electricity, gas, temperature, and smoke information to form a whole-house data set, the whole house scene can be fully monitored to avoid water and electricity safety hazards and fire problems caused by gas leaks when the left-behind elderly live alone at home, thus improving the safety of the whole house of left-behind elderly people. By combining multiple sets of human monitoring data on the distance between the human head and the ground to form a human monitoring data set, it can be discovered in time in the event of an accident such as a fall, avoiding the problem of a fall without help, which will have a huge impact on the body in the future. The data analysis and processing module calculates the change value of human health data based on the human health data set, the whole house data set, and the human monitoring data set. , change value of whole house data , Human body monitoring change value ; Changes in human health data The calculation method is as follows:

[0023] In the above formula, Represents the human health collection time; Whole house data change value The calculation method is:

[0024] In the above formula, Represents the current water and electricity data in the whole house dataset, The previous set of water and electricity data representing the current water and electricity data in the whole house dataset, Represents the current gas data in the whole house data set, Represents the previous set of gas data of the current gas data in the whole house dataset, Represents the current temperature data in the whole house dataset, Represents the previous set of temperature data of the current temperature data in the whole house dataset, Represents the current smoke data in the whole house dataset, The previous set of smoke data representing the current smoke data in the whole house dataset; Human body monitoring change value The calculation method is as follows:

[0025] In the above formula, Represents any current data in the human monitoring data set, which can be any data in the human monitoring data set. Represents the previous data of any current data in the human monitoring data set; The data analysis and processing module has preset human health data thresholds Threshold value of human monitoring data , and change values ​​according to human health data , Human body monitoring change value Compare with the corresponding threshold to determine whether the elderly have any physical abnormalities. If an abnormality occurs, the signal is transmitted to the alarm module; when When , it means that the change value of human health data exceeds the threshold of human health data, there may be abnormality in the elderly's physical condition, and the abnormal signal is sent to the alarm module for alarm; when When , it means that the human monitoring change value exceeds the human monitoring data threshold, there may be problems such as elderly people falling, and the abnormal signal is sent to the alarm module for alarm; The data analysis and processing module has a preset threshold for the whole house data. , and change the value according to the whole house data Compare with the threshold to determine whether there is any abnormality in the security environment of the whole house. When an abnormality occurs, the signal is transmitted to the alarm module; when When , it means that the data change value of the whole house exceeds the threshold of the whole house data. There may be hidden dangers of water and electricity safety in the house, gas forgotten to be turned off, or there is a tendency of fire. The abnormal signal is sent to the alarm module for alarm; By calculating the change value of human health data based on the human health data set, the whole house data set, and the human monitoring data set , change value of whole house data , Human body monitoring change value , and then respectively compared with the human health data threshold , Human monitoring data threshold , Whole house data threshold By making comparisons and judgments, it can immediately identify problems such as abnormal physical conditions of the elderly, falls of the elderly, hidden dangers of water and electricity safety in the house, gas forgotten to be turned off, or fire trends, etc., thus comprehensively improving the safety of the elderly and the whole house, and improving the safety of the lives of left-behind elderly people; The alarm module is internally provided with a network alarm unit and a sound alarm unit. The network alarm unit automatically contacts the emergency contact through the network, and the sound alarm unit emits an alarm sound by connecting to a buzzer.

[0026] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A monitoring and companionship interactive system for the whole house, characterized by: It includes data acquisition module, data analysis and processing module and alarm module; The data acquisition module includes a human body data acquisition unit, a whole house data acquisition unit and a monitoring data acquisition unit. The human body data acquisition unit is connected to the intelligent monitoring bracelet through the network to collect and number the human health data of the elderly to form a human health data set. The whole house data acquisition unit collects and numbers the whole house data by connecting multiple groups of sensors to form a whole house data set. The monitoring data acquisition unit collects and numbers the human body monitoring data of the distance between the human head and the ground by connecting multiple groups of monitors to form a human body monitoring data set. The data acquisition module sends the collected data set to the data analysis and processing module; The data analysis and processing module calculates the human health data change value according to the human health data set, the whole house data set, and the human monitoring data set. , change value of whole house data , Human body monitoring change value ; The data analysis and processing module has a preset human health data threshold. Threshold value of human monitoring data , and change values ​​according to human health data , Human body monitoring change value Compare with the corresponding threshold to determine whether the elderly have any physical abnormalities. If an abnormality occurs, the signal is transmitted to the alarm module; The data analysis and processing module has a preset data threshold for the whole house. , and change the value according to the whole house data Compare with the threshold to determine whether there is any abnormality in the security environment of the whole house. When an abnormality occurs, the signal is transmitted to the alarm module; The alarm module is internally provided with a network alarm unit and a sound alarm unit. The network alarm unit automatically contacts the emergency contact through the network, and the sound alarm unit emits an alarm sound by connecting to a buzzer.

2. A whole-house monitoring and companionship interactive system according to claim 1, characterized in that: The number of the human health dataset is ,in Represents heart rate data, Represents blood pressure data, Represents blood oxygen data, Represents body temperature data.

3. The whole-house monitoring and companionship interactive system according to claim 1 is characterized by: The human health data change value The calculation method is as follows: In the above formula, Represents the human health collection time.

4. The whole-house monitoring and companionship interactive system according to claim 1 is characterized in that: The number of the whole house dataset is , , , ,in Represents hydropower, Represents gas, represents temperature, Represents smoke information.

5. The whole-house monitoring and companionship interactive system according to claim 1 is characterized by: The whole house data change value The calculation method is: In the above formula, Represents the current water and electricity data in the whole house dataset, The previous set of water and electricity data representing the current water and electricity data in the whole house dataset, Represents the current gas data in the whole house data set, Represents the previous set of gas data of the current gas data in the whole house dataset, Represents the current temperature data in the whole house dataset, Represents the previous set of temperature data of the current temperature data in the whole house dataset, Represents the current smoke data in the whole house dataset, Represents the previous set of smoke data of the current smoke data in the whole house dataset.

6. The whole-house monitoring and companionship interactive system according to claim 1 is characterized by: The number of the human monitoring data set is ,in, and They correspond to the first and last data in the human monitoring data set, respectively. Indicates that the collected data has indivual.

7. The whole-house monitoring and companionship interactive system according to claim 1 is characterized by: The human body monitoring change value The calculation method is as follows: In the above formula, Represents any current data in the human monitoring data set, which can be any data in the human monitoring data set. Represents the previous data of any current data in the human monitoring dataset.

8. The whole-house monitoring and companionship interactive system according to claim 1 is characterized by: when When , it means that the change value of the human health data exceeds the human health data threshold, there may be an abnormality in the elderly's physical condition, and the abnormal signal is sent to the alarm module for an alarm.

9. The whole-house monitoring and companionship interactive system according to claim 1 is characterized by: when When , it means that the human monitoring change value exceeds the human monitoring data threshold, there may be problems such as elderly people falling, and the abnormal signal is sent to the alarm module for alarm.

10. The whole-house monitoring and companionship interactive system according to claim 1, characterized in that: when When , it means that the change value of the whole house data exceeds the whole house data threshold. There may be hidden dangers of water and electricity safety in the house, gas forgotten to be turned off, or there may be a fire trend. The abnormal signal will be sent to the alarm module for alarm.

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