CN204719923U - Based on the grading automatical warning device of mobile phone in danger of wearable device - Google Patents

Abstract

The utility model discloses a hierarchical automatic alarm device for mobile phones in distress based on wearable equipment, which comprises a wearable sensor node, a signal conditioning circuit, a wireless transmission module, and a mobile phone with GPS positioning function. Each sensor node will collect different physiological sign signals of the human body. After these physiological sign signals are processed by their respective signal conditioning circuits, they will transmit each physiological sign signal to the mobile phone through their respective wireless transmission modules. After comparing with the predetermined threshold, it is judged whether to send a help message. The utility model patent collects the physiological sign signals of the human body, so that when people encounter an emergency, the mobile phone can automatically send a short message for help.

Description

Classified automatic alarm device for mobile phones in distress based on wearable devices

technical field

The utility model is a sensor-monitored alarm device in case of sudden attack, more specifically, an automatic alarm device for mobile phone in case of attack based on bluetooth technology and wireless wearable equipment.

Background technique

At present, more and more criminals are targeting single women or elderly people traveling at night or in sparsely populated places to carry out robbery, usually causing serious or even fatal injuries to the victims during the crime process, such as stunned, heavy blows, knife wounds, etc. Most of the victims were attacked suddenly, were unprepared, and were stunned or controlled before they had time to call for help or report to the police and were unable to call for help. Although many mobile phones have SOS and location tracking functions, they need to be triggered, such as the phone holder's button, or the purposeful inquiry or tracking of relatives, friends or even the police. These are passive and cannot prevent the victim from being attacked suddenly. The critical situation of the victim can be automatically communicated without any passive trigger mechanism. The mobile phone automatic alarm device based on Bluetooth technology and wearable devices can solve the above problems well.

Utility model content

Technical problem: The utility model provides a wearable device-based automatic emergency alarm device for mobile phones in distress, which can communicate with the mobile phone in real time, automatically transmit the location information to the family number preset by the system in the form of a short message through the mobile phone, and automatically call for help.

Technical solution: The utility model is based on the wearable device-based automatic alarm device for classified mobile phones in distress, including

Wearable sensor nodes to collect signals of different physiological signs of the human body;

A signal conditioning circuit connected to the wearable sensor node, used to convert the physiological sign signal collected by the wearable sensor node into a digital signal;

The wireless transmission module connected with the signal conditioning circuit is used to transmit the digital signal converted by the signal conditioning circuit to the mobile phone;

The data analysis unit set in the mobile phone is used to compare the received physiological sign data with the threshold value preset by the system to determine the alarm level;

The threshold triggering unit set in the mobile phone is used to send a short message for help according to the alarm level.

Further, the plurality of sensor nodes constitute a wearable sensor network.

Further, the wearable sensor node includes a piezoelectric respiration sensor set on the abdomen, a photoelectric heart rate sensor set at the wrist, a piezoelectric pulse sensor set at the fingertip, and a three-axis acceleration sensor set at the ankle sensor.

Furthermore, each wearable sensor node corresponds to a set of signal conditioning circuits and a wireless transmission module, which are used to convert and transmit the collected physiological sign signals.

The device of the utility model can be used to monitor the heartbeat, pulse, breathing frequency and body position information of the human body in real time, and transmit these parameters to the mobile phone through the low-power bluetooth communication technology, and the special processing module embedded in the mobile phone performs filtering and noise reduction After that, it is converted into digital signals, and they are converted into instructions through an algorithm to be transmitted to the mobile phone, triggering the mobile phone to automatically send a distress message with location information.

In the device of the present invention, the data acquisition unit collects human body information by the wearable sensor node. Multiple sensor nodes form a wearable sensor network, mobile phones are used as base stations, and mature Bluetooth technology is used for communication. The sensor nodes are respectively distributed on the wrist of the human body to measure the pulse, the abdomen to measure the breathing sensor, and the ankle to measure the human body movement. When a person is attacked suddenly, the heartbeat and pulse will inevitably speed up while the consciousness is still awake; if the person is suddenly attacked, loses consciousness, and is unconscious, the breathing rate and body movement will inevitably change.

The device of the utility model includes a three-axis acceleration sensor which is responsible for collecting acceleration changes in the direction of the legs of the human body; a piezoelectric sensor collects pressure changes acting on the surface of the sensor caused by the pulse beating of the wearer; a photoelectric fingertip sensor collects human heart rate ; The piezoelectric abdominal belt breathing sensor collects subtle changes in the human respiratory rate, which is used to assist in judging whether the human body is in a state of tension or coma.

The data preprocessing module inside the sensor node uses a correlation filtering algorithm to denoise the data and filter out data that is too high or too low.

The sensor node sends data to the mobile phone through the low-power bluetooth communication protocol, and receives control signals from the mobile phone at the same time.

The built-in data analysis module of the mobile phone processes the sent data and comprehensively calculates to determine whether the collected data exceeds the pulse, heart rate, respiratory rate, and static dynamic limit thresholds preset by the system. The set number sends out a distress signal and carries GPS positioning information.

The utility model is based on bluetooth technology and wearable equipment and is based on a multi-level automatic alarm device for mobile phones in distress, through a plurality of sensors of important parts buried in clothes or in carry-on items, such as abdominal breathing sensors, pulse sensors at wrists, and legs to sense movement The three-axis acceleration sensor can transmit the abnormal situation of the victim in time. In case of coercion by criminals, a person's heartbeat will accelerate in a short period of time. Once the upper limit of the normal range is exceeded, the sensor will send abnormal data to the mobile phone, and the mobile phone will automatically send a text message to a specific recipient (such as a relative) as a trigger mechanism. ; If the victim is suddenly stunned, the body movement will change. After the data is transmitted to the mobile phone, it can trigger the mobile phone to automatically send a distress message. This can not only send out a call for help immediately in a critical situation, but the criminals do not know it, which is of great significance for quickly rescuing the victim, bringing the criminals to justice, and preventing the social harm of crimes. Furthermore, the Bluetooth protocol is used to communicate between the mobile phone and the sensor, which is low in cost, low in speed, and low in power consumption. Even if the number of sensors is added or deleted, it can quickly form a network by itself, with low radiation to the human body, and can be worn or used for a long time. The chips used are cheap, simple in design and easy to implement.

The utility model can use a wearable wireless sensor network composed of a plurality of measuring units to collect information such as human heartbeat, breathing frequency, dynamics, and position. When a person is suddenly attacked or encounters an unpredictable danger, the information can be communicated with the mobile phone in real time. When the threshold exceeds the preset threshold, the location information can be automatically sent to the family number preset by the system in the form of a text message through the mobile phone. In order to achieve the purpose of automatic rescue, it has the characteristics of simple design, portability, low cost and the like.

Beneficial effect: compared with the prior art, the utility model has the following advantages:

The utility model based on the bluetooth technology and wearable equipment is based on the distress mobile phone graded automatic alarm device, which can be used for single women, the elderly and children and other disadvantaged groups to monitor abnormal situations such as being attacked and fainting in critical situations. The collected safety parameters mobile phone can automatically alarm, and the victim's location information will be sent to the pre-set number in the form of short message. There is no need for artificial keys, no need for others to send text messages or call to ask (the current passive alarm method for mobile phones on the market). Secondly, it uses low-power bluetooth technology as a communication protocol, which has mature technology, simple configuration, and strong scalability. It can quickly form a network by adding or deleting a number of sensor nodes without complicated configuration, which increases the flexibility of the device. It is convenient for the development of new services, such as simultaneous health care monitoring. Finally, the device has the advantages of simple design, easy to carry, difficult to detect, and automatic alarm when criminals are completely unaware.

Description of drawings

Fig. 1 is a schematic diagram of the layout of the human body wearable device of the present invention.

Fig. 2 is the hardware design schematic diagram of the present utility model.

Fig. 3 is the device data processing flowchart of the present utility model.

Fig. 4 is a macroscopic communication mode diagram of the device of the present invention.

Detailed ways

Below in conjunction with embodiment and accompanying drawing, the utility model is described in more detail and specifically.

The human body wearing schematic diagram of the utility model device as shown in Fig. 1, Fig. 2 is the specific hardware module design, Fig. 3 is the processing flowchart of the data collected to the sensing node and the device communication schematic diagram of the utility model shown in Fig. 4 . An automatic alarm device for mobile phones based on wearable equipment, including a piezoelectric respiration sensor node HKH-11L placed on the abdomen of the human body, a photoelectric heart rate sensor node HKX-08L on the wrist, a piezoelectric pulse sensor node HK2000C on the fingertips and legs The three-axis acceleration sensor node CMA3000 in the department; each of the aforementioned sensor nodes includes a built-in data acquisition unit, signal conditioning circuit and wireless transmission module; a smart phone and a built-in data analysis module, and a threshold trigger unit (ie, an alarm module). Each sensor node collects different physiological sign signals of the human body. After these physiological sign signals are processed by their respective signal conditioning circuits, they transmit the data of each sign to the mobile phone through their respective wireless transmission modules, and the mobile phone judges the received data according to the comprehensive algorithm. After comparing with the preset threshold, it is judged whether to send a help message. In this embodiment, the wireless transmission module uses a Bluetooth transmission device to communicate with the mobile phone.

The implementation process of this embodiment includes the following five steps:

Step 1: Arranging sensor nodes: place the piezoelectric respiration sensor on the abdomen, the photoelectric heart rate sensor node on the human wrist, the piezoelectric pulse sensor node on the fingertip of the human body, and the three-axis acceleration sensor node on the Human ankle.

Step 2: Collect and process the information of human physiological signs: the piezoelectric respiration sensor collects respiratory frequency, the photoelectric heart rate sensor collects heart rate, the piezoelectric pulse sensor collects pulse, and the triaxial acceleration sensor collects acceleration changes in the direction of the legs.

Step 3: Sending data: Each sensor node transmits the collected physical sign signal to the user's mobile phone through its own wireless transmission module after being processed by the signal conditioning circuit.

Step 4: Receive data: The mobile phone receives the physical sign data sent by each sensor node, processes it through the built-in data analysis unit, and compares it with the preset threshold of the mobile phone system.

Step 5: Automatic grading alarm: the threshold trigger unit determines the alarm level based on the data processed by the data processing unit. If the corresponding alarm level is reached, the mobile phone will automatically send a call for help with GPS automatic positioning information to a number of numbers set in advance by the user SMS, in order to achieve the purpose of automatic alarm and timely help.

The signal conditioning circuit of the utility model is used for noise reduction and filtering processing on the signal collected by the sensor.

In order to reduce the radiation impact of the wireless transmission module on the human body, the wireless transmission modules of the present invention all use low-power devices, so it is possible that some sensor nodes cannot directly communicate with the mobile phone, so the sensor nodes in the present invention can automatically communicate with each other. Form a network, through the routing of sensor nodes, the data is finally transmitted to the mobile phone.

The mobile phone used in the utility model needs to have the GPS positioning function, which is used to confirm the location of the monitored person when sending the rescue short message.

The foregoing embodiments are only preferred implementations of the present utility model. It should be pointed out that for those of ordinary skill in the art, several improvements and equivalent replacements can be made without departing from the principle of the present utility model. The technical solutions after the improvement and equivalent replacement of the claims of the utility model all fall into the protection scope of the utility model.

Claims (4)

1. A grading automatic alarm device for mobile phones in distress based on wearable devices, characterized in that the device comprises: Wearable sensor nodes to collect signals of different physiological signs of the human body; A signal conditioning circuit connected to the wearable sensor node, used to convert the physiological sign signal collected by the wearable sensor node into a digital signal; The wireless transmission module connected with the signal conditioning circuit is used to transmit the digital signal converted by the signal conditioning circuit to the mobile phone; The data analysis unit set in the mobile phone is used to compare the received physiological sign data with the threshold value preset by the system to determine the alarm level; The threshold triggering unit set in the mobile phone is used to send a short message for help according to the alarm level. 2. The distressed mobile phone classification automatic alarm device based on wearable device according to claim 1, characterized in that, said plurality of sensor nodes constitute a wearable sensor network. 3. The distressed mobile phone grading automatic alarm device based on wearable devices according to claim 1, wherein said wearable sensor node comprises a piezoelectric breathing sensor arranged at the abdomen, a photoelectric sensor arranged at the wrist A heart rate sensor, a piezoelectric pulse sensor at the fingertips, and a three-axis acceleration sensor at the ankle. 4. according to claim 1, 2 or 3 described based on wearable device classification automatic alarm device for mobile phone in distress, it is characterized in that: each described wearable sensor node corresponds to a set of signal conditioning circuit and wireless transmission module respectively, in order to Converting and transmitting the respective collected physiological sign signals.