CN209734011U - Non-contact human body state monitoring system - Google Patents
Non-contact human body state monitoring system Download PDFInfo
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- CN209734011U CN209734011U CN201822129306.3U CN201822129306U CN209734011U CN 209734011 U CN209734011 U CN 209734011U CN 201822129306 U CN201822129306 U CN 201822129306U CN 209734011 U CN209734011 U CN 209734011U
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Abstract
The utility model relates to a human state monitoring system of non-contact, monitoring system includes: the system comprises a main control chip, a biological radar, a WiFi module, a voltage stabilizer module, an LED warning lamp, a USB-to-RJ 45 interface and a network camera; the biological radar is connected with the main control chip; the WiFi module is connected to the main control chip; the voltage stabilizing module is connected with the main control chip; the LED warning lamp is connected with the main control chip; the USB-to-RJ 45 interface is connected with the main control chip and converts the USB serial port transmission into RJ45 transmission; the network camera is connected to the main control chip through WiFi. The monitoring method comprises the following steps: establishing a database and managing and monitoring human body states. The utility model is simple in operation, it is convenient to use, can monitor the various abnormities of human state under the human condition of contactless, judges by the vital sign of monitoring the people to report to the police when the abnormal conditions appear, make human monitoring supervisory systems have higher real-time and security.
Description
Technical Field
The utility model relates to a human state monitoring system of non-contact, especially one kind utilizes the instrument that vital signs such as heartbeat, breathing, facial expression of people carry out the monitoring based on human vital sign phenomenon, originally belongs to vital signs monitoring technology field.
Background
With the improvement of economic level and the development of science and technology, the national, social and people demand more and more health and safety. In order to meet the requirements of various fields and more conveniently and effectively understand and monitor the health state of the human body, a real-time non-contact human body state monitoring system is very important.
Nowadays, the commonly used human body state monitoring and management systems are mostly wearable and contact, such as smart bracelets, smart gloves, smart headbands, medical vests, waistbands and the like. The human body condition monitoring devices which must be worn at all times and must be in contact with the human body bring certain inconvenience to the movement of people. The existing non-contact monitoring system only comprises an audio signal monitoring system, a video signal monitoring system and an infrared signal monitoring system. The audio signal monitoring is to use the sound pick-up to gather the ambient sound to monitor the state of the present human life activity, and the video signal monitoring is to use the camera to gather the image information of the human photo or the environment picture to monitor, and these monitoring systems' real-time is relatively poor, and the data bulk of monitoring is too big, and the manpower that consumes is too big. For monitoring the vital sign state of a person more conveniently and quickly, the non-contact human body state monitoring system is used in the prior utility model.
The system has high practicability and wide application range, and can be used in hospitals, prisons, drug rehabilitation places and other places which need a large amount of manpower to monitor the human body state. The health state of the old or the child at home can be monitored, and the effect of convenience and safety is achieved.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a human state monitoring system of non-contact to solve several kinds of human state monitoring systems of prior art and all not possess the ability that non-contact is human, real-time unmanned monitoring autoalarm, can not real-time efficient monitor the management scheduling problem to human state. In order to manage human state better, supervise the action of being monitored the people in real time, improve monitoring system's security, the utility model discloses based on human vital sign phenomenon, utilize the monitoring to vital signs such as people's heartbeat, breathing, facial expression, proposed new human state management monitoring method. The method can monitor various conditions of the human body state in real time, is more convenient and quicker, and better solves the problems.
The utility model discloses mainly acquire human vital sign parameter with the radar tester, monitor the developments of people with the camera. And (3) processing the vital sign signals acquired by the radar by using techniques such as homomorphic filtering, wavelet analysis, narrow-band digital filtering and the like, and analyzing the processed signals by using C + + and a database. Through experimental monitoring, a large amount of heartbeat and respiration data are measured, the measured data are processed and drawn by C + + and a visual upper computer is established, an effective heart rate value and a respiration value are judged according to threshold integration, when the heart rate value and the respiration value are smaller than the threshold, the judgment is abnormal, an alarm system is triggered, and abnormal data are stored in a database so as to be convenient for fetching and checking. The video expression of the face is identified by deep learning, and the emotion and psychological condition of a person are further judged.
The utility model relates to a human state monitoring system of non-contact specifically includes: the system comprises a main control chip, a biological radar, a WiFi module, a voltage stabilizer module, an LED warning lamp, a USB-to-RJ 45 interface and a network camera;
The type of the master control chip is N51822; the biological radar comprises a radar B for measuring respiration and a radar H for measuring heart rate, which are respectively connected with the main control chip, and the Doppler ultrasonic effect of the biological radar is utilized to collect respiration and heartbeat waveform messages of a human body and send the respiration and heartbeat waveform messages to the main control chip; the WiFi module is ESP-12S in model number and is connected to the main control chip to complete data storage and data communication tasks; the voltage stabilizing module is AMS1117 in model and is connected with the main control chip to ensure the stable power supply of the whole system; the LED warning lamp is connected with the main control chip, when the human body state is abnormal, the USB-to-RJ 45 interface is started, the LED warning lamp is connected with the main control chip, the USB serial port transmission is converted into RJ45 transmission, and the long-distance transmission of signals is realized; the network camera transmits the captured portrait to the main control chip through WiFi, and expression recognition of the tested person is achieved. A circuit block diagram of the device is shown in fig. 2.
The utility model relates to a human state monitoring system of non-contact, its advantage lies in: the utility model discloses a from intelligent human state management starting to realize non-contact and manage human state effectual in real time. The biological radar of the utility model can filter the signals collected by the radar through the homomorphic filter, analyze the waveform data of heartbeat and respiration by wavelet analysis (the radar signal processing process diagram is shown in figure 3), and convert the USB transmission into RJ45 transmission to realize the purpose of remote high-speed transmission of the signals; meanwhile, the expression of the person is monitored to judge the emotion and psychological state of the person. The utility model is simple in operation, it is convenient to use, can monitor the various abnormities of human state under the human condition of contactless, judges by the vital sign of monitoring the people to report to the police when the abnormal conditions appears and remind supervisory personnel, make human monitoring supervisory systems have higher real-time and security.
Drawings
Fig. 1 shows the software flow of the method of the present invention.
Fig. 2 is a circuit block diagram of the monitoring system of the present invention.
Fig. 3 is a diagram illustrating a process of processing radar signals in the method of the present invention.
Fig. 4 shows a flow chart of expression recognition in the method of the present invention.
Detailed Description
The technical solution of the present invention will be further explained with reference to the accompanying drawings and embodiments.
The utility model relates to a human state monitoring system of non-contact specifically includes: the system comprises a main control chip, a biological radar, a WiFi module, a voltage stabilizer module, an LED warning lamp, a USB-to-RJ 45 interface and a network camera;
The type of the master control chip is N51822; the biological radar comprises a radar B for measuring respiration and a radar H for measuring heart rate, which are respectively connected with the main control chip, and the Doppler ultrasonic effect of the biological radar is utilized to collect respiration and heartbeat waveform messages of a human body and send the respiration and heartbeat waveform messages to the main control chip; the WiFi module is ESP-12S in model number and is connected to the main control chip to complete data storage and data communication tasks; the voltage stabilizing module is AMS1117 in model and is connected with the main control chip to ensure the stable power supply of the whole system; the LED warning lamp is connected with the main control chip, when the human body state is abnormal, the USB-to-RJ 45 interface is started, the LED warning lamp is connected with the main control chip, the USB serial port transmission is converted into RJ45 transmission, and the long-distance transmission of signals is realized; the network camera transmits the captured portrait to the main control chip through WiFi, and expression recognition of the tested person is achieved. A circuit block diagram of the device is shown in fig. 2.
The non-contact human body state management monitoring method by using the monitoring system of the invention comprises the following specific processes:
The method comprises the following steps: database establishment
and establishing a database by using the SQLsever, and establishing a data table of the bed position number, the radar equipment information, the threshold value and the abnormal data in the database. Wherein, the information of the tested person is recorded in the bed number data table; recording radar parameters corresponding to the detected person in a radar equipment information table; recording the normal heart rate of a tested person and the lower limit value of the normal heart rate in a threshold table, wherein the respiration threshold value is set to be 12 times/minute, and the heart rate threshold value is set to be 45 times/minute; recorded in the abnormal data table are data and corresponding specific time when the respiratory and heart rate values of the tested person are less than the threshold value.
step two: human body state management monitoring
(1) Heart rate and respiration data processing: reading parameters in a database by using a C + + program, processing waveform messages acquired by the biological radar at the same time, and comparing the waveform messages with a preset threshold value in the database; when the heart rate and the respiration value are lower than the threshold values, the abnormal heart rate and respiration value and the corresponding date and time are written into the database, and meanwhile, the alarm of the LED warning lamp is triggered.
(2) A user visual interface: the utility model relates to a non-contact human state monitor and human state management monitoring method, its visual interface has established visual host computer with C + + QT, can set up biological radar's corresponding working parameter in the interface, can show by survey people's breathing, rhythm of the heart curve and the value that corresponds, can show 4 individual human states simultaneously.
(3) and (3) expression recognition: in order to realize video monitoring facial expression, the utility model discloses used web camera WebCamera, face identification storehouse OpenCV3.0, trained the deep neural network based on the Keras frame with Python. The method comprises the steps of preprocessing images by OpenCV and numpy, adjusting the sizes of images acquired by a network camera and training set images to 64 x 64, then constructing a deep network, wherein input data is 64 x 64, designing a convolution layer with 4 3 x 3 convolution kernels, 2 maximum pooling layers with a template of 2 x 2, a ReLU activation function layer and a Dropout layer, setting a discarding proportion parameter to be 0.25, setting a full connection layer with 512 neurons, and finally classifying, identifying and outputting by a softmax layer. Training iteration times are 40 times, and network parameters are updated by adopting an SGD random gradient descent algorithm. After a deep neural network is built, a cv2.VideoCapture (0) function in OpenCV is called to directly use a network camera as a real-time video data source, pedestrian tracking and face positioning work in a video is completed by using a deep neural network model and a haar cascade face recognition model, then face pictures are stored, a plurality of face pictures of the same person are synthesized into clearer face pictures by using a super-resolution analysis technology, and then the expression recognition task of the face is completed. The flow is shown in fig. 4.
Claims (1)
1. A non-contact human body state monitoring system is characterized in that: the monitoring system specifically comprises: the system comprises a main control chip, a biological radar, a WiFi module, a voltage stabilizer module, an LED warning lamp, a USB-to-RJ 45 interface and a network camera;
The type of the master control chip is N51822; the biological radar comprises a radar B for measuring respiration and a radar H for measuring heart rate, and the radars are respectively connected with the main control chip; the WiFi module completing the data storage and data communication tasks is of an ESP-12S model and is connected to the main control chip; the model of a voltage stabilizing module for stably supplying power to the whole system is AMS1117 and is connected with the main control chip; the LED warning lamp is connected with the main control chip; the USB-to-RJ 45 interface is connected with the main control chip and converts the USB serial port transmission into RJ45 transmission; the network camera is connected to the main control chip through WiFi.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201822129306.3U CN209734011U (en) | 2018-12-18 | 2018-12-18 | Non-contact human body state monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201822129306.3U CN209734011U (en) | 2018-12-18 | 2018-12-18 | Non-contact human body state monitoring system |
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| CN209734011U true CN209734011U (en) | 2019-12-06 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109498059A (en) * | 2018-12-18 | 2019-03-22 | 首都师范大学 | A kind of contactless humanbody condition monitoring system and body state manage monitoring method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109498059A (en) * | 2018-12-18 | 2019-03-22 | 首都师范大学 | A kind of contactless humanbody condition monitoring system and body state manage monitoring method |
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Granted publication date: 20191206 Termination date: 20211218 |
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| CF01 | Termination of patent right due to non-payment of annual fee |