Early warning method for monitoring personnel falling down based on state analysis

Abstract

The present invention relates to the technical field of early warning of collapsed personnel, and specifically, to an early warning method for collapsed monitoring personnel based on status analysis. It includes the following steps: deploying multiple sensors in the equipment worn by the monitoring personnel to obtain the physical status data of the monitoring personnel in real time; collecting the physical status data of the monitoring personnel obtained by the sensors, and storing the physical status data in a data storage library. The present invention deploys multiple sensors on the monitoring personnel to obtain the physical status data of the monitoring personnel in real time, and collects and analyzes the physical status data of the monitoring personnel, so that the collapsed situation of the monitored personnel can be discovered in time, and the physical status of the monitored personnel at the current stage can be understood in real time, so as to timely warn the monitored personnel before collapsing, and secondly, through the pre-trial remote alarm method, the monitoring personnel can selectively issue an alarm to prevent the monitored personnel from wasting rescue resources when they have not collapsed.

Description

Technical Field

[0001] The present invention relates to the technical field of early warning of people falling down, and in particular to an early warning method for monitoring people falling down based on state analysis. Background Art

[0002] At present, in the fields of security, fire protection and traffic monitoring, there are usually monitoring personnel maintaining order or performing tasks. However, due to the complexity of the on-site environment and the physical condition of the monitoring personnel themselves, some monitoring personnel may fall down due to various reasons when performing tasks, such as sudden illness, attack or other unexpected situations;

[0003] Although with the development of society, monitoring systems are spread all over the streets and alleys, traditional monitoring systems can only provide image or video information, which is not convenient for real-time analysis of the physical condition of the monitored personnel, and therefore it is not convenient to judge the physical condition of the monitored personnel. In addition, there is a certain delay in observing the behavior of the monitored personnel through the monitoring system. If the monitored personnel falls down, the monitoring system will present the picture of the monitored personnel falling down, which is not convenient for judging the current physical condition of the monitored personnel. At the same time, it is not convenient to warn the personnel in the space before they fall down, so that the monitored personnel can discover in time and avoid the situation of falling down, thus affecting the safety of the monitored personnel. Summary of the invention

[0004] The purpose of the present invention is to provide an early warning method for monitoring personnel falling down based on status analysis, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides an early warning method for monitoring personnel falling down based on status analysis, comprising the following steps:

[0006] S1. Deploy multiple sensors in the equipment worn by the monitoring personnel to obtain the physical status data of the monitoring personnel in real time;

[0007] S2, collecting the physical status data of the monitored person obtained by the sensor, and storing the physical status data in a data storage library;

[0008] S3, analyzing the physical state data in the data storage database, extracting features related to falling down, and calculating the probability of falling down of the monitored person;

[0009] S4, analyzing the features related to lodging extracted in S3, and determining the matching between the lodging personnel and the lodging conditions;

[0010] S5. Send out a warning signal to inform the monitored person that something is wrong with his / her body, trigger the alarm device and notify relevant personnel to provide timely assistance to the monitored person.

[0011] As a further improvement of the technical solution, a heart rate sensor and a posture sensor are used in S1 to acquire the body status data of the monitored person.

[0012] As a further improvement of the present technical solution, the physical status data of the monitored person collected in S2 is the physical status data of the monitored person transmitted by the sensor in real time acquired through an API interface.

[0013] As a further improvement of the technical solution, the tilt calculation formula is adopted in S3:

[0014] Angle = arctan (distance from the center of the body to the ground / (body height x 0.5)) * (180 / pi)

[0015] Among them, pi is the ratio of circumference to diameter, arctan is the inverse tangent function, and both the distance from the center of the body to the ground and the height of the body need to be measured.

[0016] As a further improvement of the technical solution, the step S4 includes a lodging judgment step:

[0017] Analyze the heart rate values ​​of the monitored personnel obtained by the heart rate sensor and mark abnormal data;

[0018] Compare and analyze the data of the monitored person's heart rate and the inclination angle between the monitored person and the ground to determine the probability of the monitored person falling down.

[0019] As a further improvement of the technical solution, S4 further includes:

[0020] After the fall is confirmed, the activity of the monitored person during the recovery period is judged to match the numerical conditions of the fall state. If so, an alarm is issued, otherwise no alarm is issued.

[0021] As a further improvement of the present technical solution, S5 includes a preset remote alarm mode and a personal device alarm mode.

[0022] As a further improvement of the technical solution, the preset remote alarm mode includes the following steps:

[0023] After the animal is identified as having fallen, preset prompts are used to inform the monitoring personnel of the current situation of the animal and the need to seek help and contact rescue agencies;

[0024] If the user's confirmation alarm command is received, and no command from the monitoring personnel is received after waiting for a certain period of time, an alarm will be issued;

[0025] If the monitoring personnel receives a command to reject the alarm, the alarm will be turned off.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] In the early warning method for the collapse of monitored personnel based on status analysis, advanced sensing technology is used to deploy multiple sensors on the monitored personnel to obtain the physical status data of the monitored personnel in real time, and the physical status data of the monitored personnel are collected and analyzed, so that the collapse of the monitored personnel can be discovered in time, and the physical status of the monitored personnel at the current stage can be understood in real time, so as to provide timely early warning to the monitored personnel before collapse to ensure the safety of the monitored personnel. Secondly, through the pre-examination remote alarm method, the monitored personnel can selectively issue an alarm to prevent the monitored personnel from wasting rescue resources when they have not collapsed. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a schematic diagram of the overall process of Embodiment 1 of the present invention;

[0029] Figure 2 This is a principle block diagram of the analysis and interpretation conditions of Example 1 of the present invention;

[0030] Figure 3 This is a flowchart of sending an early warning signal according to Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0031] 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.

[0032] Example 1

[0033] See also Figure 1-Figure 2 As shown, this embodiment provides an early warning method for monitoring personnel falling down based on status analysis, including the following steps:

[0034] S1. Deploy multiple sensors in the equipment worn by the monitoring personnel to obtain the physical status data of the monitoring personnel in real time;

[0035] In S1, a heart rate sensor and a posture sensor are used to obtain the physical status data of the monitored person.

[0036] Among them, the heart rate sensor can monitor the heart rate changes of the monitored personnel and identify abnormal situations;

[0037] Working principle: The heart rate sensor senses and collects the human body's electrocardiogram signals through electrodes placed on the skin, and transmits the collected signal data to the processor. The processor processes and filters the data, removes signal noise, and extracts the characteristic signal of the heartbeat from it, and finally calculates the heart rate value.

[0038] The posture sensor can detect changes in the posture of the monitored personnel and identify abnormal situations.

[0039] Working principle: When the attitude sensor receives an input signal, the accelerometer and gyroscope pass their respective data information to the microprocessor. The microprocessor combines the angular velocity and acceleration data through an algorithm, calculates and infers the spatial attitude and direction of the object, and finally outputs the attitude information.

[0040] S2, collecting the physical status data of the monitored person obtained by the sensor, and storing the physical status data in a data storage library;

[0041] The physical status data of the monitored person collected in S2 is the physical status data of the monitored person transmitted by the sensor in real time obtained through the API interface.

[0042] S3, analyzing the physical state data in the data storage database, extracting features related to falling down, and calculating the probability of falling down of the monitored person;

[0043] The tilt calculation formula used in S3 is:

[0044] Angle = arctan (distance from the center of the body to the ground / (body height x 0.5)) * (180 / pi)

[0045] Among them, pi is the ratio of circumference to diameter, arctan is the inverse tangent function, and both the distance from the center of the body to the ground and the height of the body need to be measured.

[0046] For a specific example, suppose a person is 1.7 meters tall and the distance between the center of gravity and the ground is 0.2 meters. If the body tilts at an angle greater than 22 degrees, the person will lose balance and fall.

[0047] Angle = arctan(0.2 / (1.7x0.5))*(180 / pi) = 22.47 degrees

[0048] Based on the results calculated from this angle, we can predict whether a person will lose balance and fall. At the same time, based on this formula and actual measured data, we can further analyze and predict under what circumstances a person is prone to lose balance, and take appropriate measures to avoid falling accidents.

[0049] S4, analyzing the features related to lodging extracted in S3, and determining the matching between the lodging personnel and the lodging conditions;

[0050] S4 includes a lodging judgment step:

[0051] Analyze the heart rate values ​​of the monitored personnel obtained by the heart rate sensor and mark abnormal data. The normal heart rate range of the human body is between 60-100 beats / minute. If the heart rate continues to exceed 100 / minute, it may be too fast; if the heart rate continues to be lower than 60 beats / minute, it may be too slow. These two situations indicate that the heart rate of the monitored personnel is abnormal. When the heart rate is abnormal, the abnormal data will be marked and monitored in real time;

[0052] By comparing and analyzing the data of the monitored personnel's heart rate and the angle of inclination between the monitored personnel and the ground, the probability of the monitored personnel falling down can be determined. The probability of the monitored personnel falling down can be determined based on the calculated degree of inclination between the monitored personnel and the ground before the monitored personnel will fall down, and combined with the monitored personnel's abnormal heart rate data, the monitored personnel's falling down can be determined. If the inclination between the monitored personnel and the ground is greater than the angle at which the human body loses balance and the heart rate is abnormal, it can be determined that the monitored personnel will fall down; if the inclination between the monitored personnel and the ground is less than the angle at which the human body loses balance and the heart rate is normal, it can be determined that the monitored personnel will not fall down; if the inclination between the monitored personnel and the ground is less than the angle at which the human body loses balance and the heart rate is abnormal, the monitored personnel may fall down, and further tracking and monitoring is required.

[0053] S5. Send out a warning signal to inform the monitored person that something is wrong with his / her body, trigger the alarm device and notify relevant personnel to provide timely assistance to the monitored person.

[0054] S5 includes preset remote alarm mode and personal device alarm mode.

[0055] Among them, the personal device alarm method is that the monitoring personnel themselves carry personal alarm equipment. When the monitored personnel fall down, the personal alarm equipment will automatically trigger a warning signal. The personal alarm method can sound an alarm through a sound alarm to attract attention, or it can use a visual alarm method to remind relevant personnel by displaying warning information or flashing lights, so that the fallen monitoring personnel can receive timely treatment.

[0056] Example 2

[0057] When the monitoring personnel fall down, some situations are caused by external factors, such as someone pushing the monitoring personnel, or the monitoring personnel being hit by an object, etc. Among them, some of the falls caused by minor reasons can be automatically raised by the monitoring personnel after a certain period of time, and no rescue is required. Therefore, in order to improve the implementation measures of embodiment 1, a second embodiment of the present invention is proposed, please refer to Figure 3 As shown, the following steps are included:

[0058] S4 also includes:

[0059] After the fall is confirmed, the activity of the monitored person during the recovery period is judged to match the numerical conditions of the fall state. If so, an alarm is issued, otherwise no alarm is issued.

[0060] If the monitored person is identified as having fallen down through the above embodiments, the activity of the monitored person can be observed. If the monitored person's condition improves within a certain period of time and he can get up, there is no need to issue an alarm. In order to provide timely assistance to the monitored person, the time for the monitored person to get up can be pre-set, such as 1 minute, 2 minutes, etc., which can be specifically refined according to the images taken under the monitoring system. If the monitored person does not get better within the set time, an alarm can be issued. If the monitored person's physical condition improves and he can get up, further monitoring can be carried out, and continuous attention is paid to the monitored person's physical condition to ensure that an alarm can be issued at any time.

[0061] And start the preset remote alarm mode and control the relevant personnel of the center at the same time to avoid delaying the rescue time of the monitoring personnel.

[0062] The preset remote alarm method includes the following steps:

[0063] After the animal is identified as having fallen, preset prompts are used to inform the monitoring personnel of the current situation of the animal and the need to seek help and contact rescue agencies;

[0064] If the user's confirmation alarm command is received, and no command is received from the monitoring personnel after waiting for a certain period of time, an alarm will be issued;

[0065] If the monitoring personnel receives a command to reject the alarm, the alarm will be turned off.

[0066] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An early warning method for monitoring personnel falling down based on state analysis, characterized in that: The following steps are involved: S1. Deploy multiple sensors in the equipment worn by the monitoring personnel to obtain the physical status data of the monitoring personnel in real time; S2, collecting the physical status data of the monitored person acquired by the sensor, and storing the physical status data in a data storage library; S3, analyzing the physical state data in the data storage database, extracting features related to falling down, and calculating the probability of falling down of the monitored person; S4, analyzing the features related to lodging extracted in S3, and determining the matching between the lodging personnel and the lodging conditions; S5. Send out a warning signal to inform the monitored person that something is wrong with his / her body, trigger the alarm device and notify relevant personnel to provide timely assistance to the monitored person; In S1, a heart rate sensor and a posture sensor are used to obtain the body status data of the monitored person; The physical status data of the monitored person collected in S2 is the physical status data of the monitored person transmitted by the sensor obtained in real time through the API interface; The tilt calculation formula used in S3 is: Angle = arctan (distance from the center of the body to the ground / (body height x 0.5)) * (180 / pi) Among them, pi is the ratio of circumference to circle, arctan is the inverse tangent function, and the distance from the center of the body to the ground and the height of the body need to be measured; The step S4 includes a lodging judgment step: Analyze the heart rate values ​​of the monitored personnel obtained by the heart rate sensor and mark abnormal data; Compare and analyze the heart rate of the monitored person and the inclination angle between the monitored person and the ground to determine the probability of the monitored person falling down; The S4 also includes: After the person has fallen, the activity of the person in the recovery period is judged to match the numerical conditions of the falling state. If the conditions are met, an alarm is issued, otherwise no alarm is issued. Lodging judgment steps: Analyze the heart rate values ​​of the monitored personnel obtained by the heart rate sensor and mark abnormal data. The normal heart rate range of the human body is between 60-100 beats / minute. If the heart rate continues to exceed 100 / minute, it may be too fast; if the heart rate continues to be lower than 60 beats / minute, it may be too slow. These two situations indicate that the heart rate of the monitored personnel is abnormal. When the heart rate is abnormal, mark the abnormal data and monitor it in real time; Compare and analyze the data of the monitored person's heart rate and the angle of inclination between the monitored person and the ground to determine the probability of the monitored person falling down. According to the calculated inclination between the monitored person and the ground at what degree the person will fall down, and combined with the abnormal heart rate data of the monitored person, determine whether the monitored person will fall down. If the inclination between the monitored person and the ground is greater than the angle at which the human body loses balance, and the heart rate is abnormal, it can be determined that the monitored person will fall down; if the inclination between the monitored person and the ground is less than the angle at which the human body loses balance, and the heart rate is normal, it can be determined that the monitored person will not fall down; if the inclination between the monitored person and the ground is less than the angle at which the human body loses balance, and the heart rate is abnormal, the monitored person may fall down, and further tracking and monitoring is required; If the monitored person is identified as lying down, observe the activity of the monitored person. If the monitored person's condition improves within a certain period of time and can get up, there is no need to call the police. In order to provide timely assistance to the monitored person, the time for the monitored person to get up can be pre-set, which can be refined according to the pictures taken under the monitoring system. If the monitored person does not get better within the set time, an alarm can be issued. If the monitored person's physical condition improves and he can get up, he can be monitored and continue to pay attention to the physical condition of the monitored person; The S5 includes a preset remote alarm mode and a personal device alarm mode; The preset remote alarm method comprises the following steps: After the animal is identified as having fallen, preset prompts are used to inform the monitoring personnel of the current situation of the animal and the need to seek help and contact rescue agencies; If the user's confirmation alarm command is received, and no command is received from the monitoring personnel after waiting for a certain period of time, an alarm will be issued; If the monitoring personnel receives a command to reject the alarm, the alarm will be turned off.

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