Monitoring data transmission method, monitoring equipment and monitoring system

Abstract

The invention provides a monitoring data transmission method, monitoring equipment and a monitoring system, and the method comprises the steps: collecting monitoring environment data, receiving physiological parameter data sent by a medical device through a first network, and transmitting the monitoring data to terminal equipment through a second network. According to the monitoring data transmission method, the audio and video data can be collected, the physiological parameter data can be received through the first network, and the audio and video data and the physiological parameter data are transmitted to the terminal through the second network, so that a user can monitor audio images in real time; furthermore, physiological parameter data such as blood oxygen saturation, heartbeat and respiration can be detected in real time, and the accuracy and safety of monitoring the monitored object are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of communication technologies, and particularly to a method for transmitting monitoring data, a monitoring device, and a monitoring system. Background Art

[0002] The existing monitoring systems generally include a monitoring end and a user terminal. For example, a camera is set at the monitoring end, and the monitoring data is transmitted between the monitoring end and the user terminal by using existing wired or wireless communication technologies, so that users can view the monitored images and audio at different locations. Especially for infants and the elderly who need real-time care, the convenience of users' lives is effectively improved.

[0003] However, the current monitoring systems can only monitor the current audio and video images of infants or the elderly, and cannot know their real physiological conditions at that time, that is, there is no intuitive combination of physiological parameters for judgment. For example, it is difficult to detect abnormalities caused by sudden diseases, turning over, quilts covering the mouth and nose, etc. Summary of the Invention

[0004] The main objective of the present invention is to provide a method for transmitting monitoring data, a monitoring device, and a monitoring system, aiming to solve the technical problem that it is difficult to achieve the accuracy and security of monitoring in the existing monitoring systems.

[0005] To solve the above technical problem, the technical solution provided by this application is as follows:

[0006] A method for transmitting monitoring data, which is applied to a monitoring device. The monitoring data includes monitoring environment data and physiological parameter data of a monitored object. The method includes:

[0007] Collecting monitoring environment data, where the monitoring environment data includes audio data or video data;

[0008] Receiving the physiological parameter data sent by a medical device through a first network;

[0009] Transmitting the monitoring data to a terminal device through a second network.

[0010] In an embodiment, the transmitting the monitoring data to a terminal device through a second network includes:

[0011] Detecting the network performance parameters of the second network;

[0012] When the network performance parameters meet a first preset condition, synchronizing the physiological parameter data with the monitoring environment data through a time stamp and then performing data fusion to generate a fusion data stream, and then transmitting the fusion data stream to the terminal device;

[0013] When the network performance parameter does not meet the first preset condition, the physiological parameter data and the monitoring environment data are respectively transmitted to the terminal device.

[0014] In one embodiment, the second network includes at least one high-priority transmission channel, and when the network performance parameter does not meet the first preset condition, transmitting the physiological parameter data and the monitoring environment data to the terminal device respectively includes:

[0015] When the network performance parameter meets the second preset condition, the physiological parameter is transmitted to the terminal device through the high-priority transmission channel.

[0016] In one embodiment, the network performance parameter includes at least one data value among bandwidth, latency, jitter, packet loss rate, throughput, availability, error rate, and retransmission rate. Transmitting the monitoring data to a terminal device through a second network further includes:

[0017] When preset feature data appears in the monitoring environment data, the monitoring environment data is transmitted to the terminal device through the high-priority transmission channel.

[0018] In one embodiment, receiving the physiological parameter data sent by a medical device through the first network includes:

[0019] Obtaining the timestamp information in the monitoring environment data;

[0020] Receiving the physiological parameter data according to the timestamp information.

[0021] In one embodiment, the monitoring device includes a clock device, and a sound-electricity or photo-electricity conversion device. The audio data is collected through the sound-electricity conversion device or the video data is collected through the photo-electricity conversion device. Collecting the monitoring environment data includes:

[0022] Generating a collection frequency through the clock device;

[0023] Controlling the sound-electricity or photo-electricity conversion device to collect the monitoring environment data according to the collection frequency.

[0024] A monitoring device, comprising:

[0025] A sound-electricity or photo-electricity conversion device, configured to collect monitoring environment data, where the monitoring environment data includes audio data or video data;

[0026] A first network module, configured to receive physiological parameter data of a monitored object sent by a medical device through a first network;

[0027] A second network module, configured to transmit the monitoring data to a terminal device through a second network, where the monitoring data includes the monitoring environment data and the physiological parameter data;

[0028] A processing module, configured to execute the monitoring data transmission method as described above.

[0029] In one embodiment, it further includes:

[0030] A clock device, configured to generate the acquisition frequency of the monitoring environment data;

[0031] The processing module is further configured to execute the monitoring data transmission method as described above.

[0032] A monitoring system, including:

[0033] A medical device, configured to collect physiological parameter data of a monitored object and send it to the monitoring device or broadcast it to the monitoring device;

[0034] The monitoring device according to the above;

[0035] A terminal device, configured to display the monitoring data sent by the monitoring device.

[0036] In one embodiment, the medical device includes a pulse oximeter, a thermometer, an electrocardiograph or a sphygmomanometer, and the terminal device includes a video display device, and the video display device is configured to display the monitoring environment data and the physiological parameter data.

[0037] Advantageous effects:

[0038] The monitoring data transmission method, monitoring device and monitoring system of the embodiments of the present application can not only collect audio-visual data, but also receive physiological parameter data through the first network, and transmit the audio-visual data and physiological parameter data to the terminal through the second network, so that the user can not only monitor the audio image in real time, but also further detect physiological parameter data such as blood oxygen saturation, heart rate, and respiration in real time, effectively improving the accuracy and safety of monitoring the monitored object. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0040] Figure 1 It is an environmental schematic diagram of the monitoring system in the embodiments of the present application;

[0041] Figure 2 This is the flowchart of the monitoring data transmission method in the embodiments of this application;

[0042] Figure 3 This is the flowchart of step S600 in the embodiments of this application for transmitting monitoring data to a terminal device through a second network;

[0043] Figure 4 This is the flowchart of step S400 in the embodiments of this application for receiving physiological parameter data sent by a medical device through a first network;

[0044] Figure 5 This is the flowchart of step S200 in the embodiments of this application for collecting monitoring environment data.

[0045] Icon description:

[0046] 100. Monitoring device (sound-electricity or light-electricity conversion device); 200. Medical device; 300. Terminal device.

[0047] The realization, functional features and advantages of the objectives of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. Specific embodiments

[0048] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of this application.

[0049] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of this application are only used to explain the relative position relationship and movement conditions between components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly.

[0050] In addition, the descriptions involving "first", "second", etc. in this application are only for descriptive purposes and should not be construed as indicating or implying their relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, "and / or" throughout the text includes three scenarios. Taking A and / or B as an example, it includes the technical solution of A, the technical solution of B, and the technical solution where both A and B are satisfied simultaneously. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0051] The embodiments of this application provide a method for transmitting monitoring data, a monitoring device, and a monitoring system, which will be specifically described through the following embodiments. First, the method for transmitting monitoring data in the embodiments of this application will be described.

[0052] Referring to Figure 1 and Figure 2 , the method for transmitting monitoring data provided by the embodiments of this application is applied to the monitoring device 100 and performs data interaction with the terminal device 300. Among them, the monitoring device 100 includes an acoustic-electric or opto-electric conversion device 100 capable of receiving audio data and video data, such as a camera. The terminal device 300 can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc. Among them, the terminal device 300 can be configured with a server and can also be configured as a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms.

[0053] Figure 2 is an optional flowchart of the method for transmitting monitoring data provided by the embodiments of this application. Figure 2 The method in

[0054] includes but is not limited to steps S200 to S600. According to the method for transmitting monitoring data applied to the monitoring device 100 in the embodiments of this application to transmit monitoring data, the monitoring data includes monitoring environment data and physiological parameter data of the monitored object. The method for transmitting monitoring data includes:

[0055] Step S200, collect monitoring environment data, where the monitoring environment data includes audio data or video data.

[0056] Among them, the audio data processing module can implement voice detection, voice interaction, and environmental noise monitoring. For voice detection, keywords can be preset, such as emergency call words like "help" or "assist", or abnormal sound recognition can be configured to trigger corresponding alarms by matching with preset abnormal sounds, such as coughing, sneezing, and crying. The image data processing module is configured with a corresponding camera and has functions such as behavior recognition and facial expression recognition to monitor in real time whether the user exhibits behaviors such as falling, convulsing, or abnormal facial expressions, making the guardianship more intelligent.

[0057] Step S400: Receive physiological parameter data sent by a medical device 200 through a first network.

[0058] Specifically, the medical device 200 can be a wearable device, a bedside monitor, etc., which is a device with the function of collecting physiological parameters. The physiological parameter data is used to characterize the user's physical state and may include age, gender, height, weight, blood pressure, blood sugar, blood oxygen, respiratory rate, heart rate, electrocardiogram waveform, body fat percentage, body temperature, sleep data, etc. To achieve the above functions, the medical device 200 includes detection sensors such as a blood oxygen sensor, a heart rate sensor, and a body temperature sensor.

[0059] The medical device 200 transmits the generated physiological parameter data to the monitoring device 100 through the first network. The first network includes a wireless communication method. Further, the first network can be a short-distance wireless communication method, that is, it includes Bluetooth / WiFi / Zigbee and future new communication methods, so as to protect the user's privacy and prevent the leakage of the user's physiological parameter data, which is suitable for home monitoring.

[0060] Step S600: Transmit the monitoring data to a terminal device 300 through a second network.

[0061] Specifically, the second network includes a wireless communication method. In the case of applying to home monitoring, the 2.4GHz ISM band can be used, and the modulation method is FSK or GFSK, or other modulation methods for short-distance transmission. The terminal device 300 has a video display device. When the terminal device 300 receives the monitoring data, it displays the monitoring environment data and physiological parameter data through the video display device, improving the real-time performance of user monitoring and the accuracy and safety of monitoring the ward.

[0062] The monitoring data transmission method according to the embodiments of the present application can not only collect audio and video data, but also receive physiological parameter data through a first network, and transmit the audio and video data and physiological parameter data to a terminal device 300 through a second network, so that the user can not only monitor the audio and video in real time, but also detect physiological parameter data such as blood oxygen saturation, heart rate, and respiration in real time, and at the same time detect the abnormal behavior of the user in real time. Especially when the person under guardianship is an infant or an elderly person, the infant cannot communicate with the guardian verbally or when the caregiver is in a sleeping state, it is possible to provide more comprehensive care through instant medical physiological data combined with instant video, quickly and accurately obtain monitoring data, and effectively improve the accuracy and safety during guardianship.

[0063] Further, referring to Figure 3 the flowchart of, in the embodiments of the present application, step S600 of transmitting the monitoring data to a terminal device 300 through a second network includes:

[0064] Step S610: Detect the network performance parameters of the second network.

[0065] Specifically, the network performance parameters include, but are not limited to, data values such as latency, bandwidth, packet loss rate, jitter, throughput, availability, error rate, and retransmission rate. At least one of them is used as a judgment index to evaluate the current wireless communication link quality of the first network, that is, to judge parameters such as the stability, rate, and signal strength of the current wireless communication transmission.

[0066] Step S620: When the network performance parameters meet the first preset condition, synchronize the physiological parameter data with the monitoring environment data through a time stamp and then perform data fusion to generate a fusion data stream, and then transmit the fusion data stream to the terminal device 300.

[0067] Step S630: When the network performance parameters do not meet the first preset condition, transmit the physiological parameter data and the monitoring environment data to the terminal device 300 separately.

[0068] Since physiological data includes parameters such as blood pressure, heart rate, and blood oxygen, although the data volume is small, it is directly related to the monitoring of the life and health status, and delays or losses may lead to serious consequences. Therefore, the requirements for real-time performance and reliability are high. Therefore, steps for detecting and judging the current network status of the second network are added. When the network status of the second network is good, the audio and video data and physiological parameter data are fused and packaged for transmission. When the network status of the second network is poor, the audio and video data and physiological parameter data are transmitted separately and independently.

[0069] Fusion transmission refers to integrating large - volume data (such as video and audio) and small - volume data (such as sensor data) into a whole for transmission through compression and encoding technologies. The advantage of fusing and transmitting physiological parameter data and audio - video data is that the synchronization of the two types of data is good, and there will be no contradictory results caused by the time inconsistency of the two types of data. For example, in independent transmission, the physiological data is transmitted first and shows that the monitored object is abnormal, that is, the heart rate and blood pressure are lower than the normal values, while the audio - video data is delayed in showing the monitored object, that is, the elderly person is in normal activities. However, the fault tolerance of data fusion transmission is relatively poor. For example, when the network status is abnormal, all types of data are affected. When fusing physiological parameter data into audio - video data, due to the large volume of audio - video data, if the network speed is slow, the audio - video data transmission is delayed, and at this time, the physiological parameter data is also delayed in transmission. But when the monitored object is abnormal, it cannot be viewed in time due to network reasons.

[0070] Independent transmission means taking large - volume data and small - volume data as separate streams and transmitting them through their respective channels and protocols. The advantage of independently transmitting physiological parameter data and audio - video data is that the flexibility of the two types of data transmission is high, the fault tolerance rate is high, and it is also very simple to implement. There is no need to develop complex fusion algorithms, and the design and maintenance costs are also very low. However, the synchronization is poor, and different types of data streams may be difficult to accurately synchronize due to delay differences. Therefore, in this embodiment, the corresponding transmission method is flexibly selected according to the status of the second network.

[0071] Specifically, taking the rate in the network performance parameters as an example, the first preset condition is the judgment standard for the monitoring device 100 to transmit monitoring data, that is, to trigger the fusion transmission or separate transmission of monitoring data. Among them, when the second network is wifi transmission, the first preset condition is set as a relatively large transmission rate, such as 50 Mbps. When the network performance parameters meet 50 Mbps, it triggers the monitoring device 100 to fuse the monitoring data into a data stream for transmission. When it is detected that the network performance parameters do not meet 50 Mbps, it triggers the monitoring device 100 to separately transmit the monitoring data, that is, the monitoring environment data and physiological parameter data are transmitted through two transmission channels respectively.

[0072] By judging the network performance parameters, the transmission mode of the monitoring device 100 is triggered to switch, so as to realize the dynamic switching of the transmission mode. It can be understood that the set parameters of the first preset condition can be slightly larger to ensure the stable network signal of the fusion transmission and the smooth transmission of monitoring data.

[0073] Furthermore, the first preset condition can also be dynamically adjusted according to the average network rate in the past 24 hours. For example, when the average network rate in the past 24 hours is greater than 50 Mbps, the first preset condition can be dynamically increased by 10% to make the stability of the fusion transmission better, and the transmission fluency and clarity higher.

[0074] Further, referring to Figure 3 the flowchart of Figure 3 , in the embodiment of the present application, the second network includes at least one high-priority transmission channel. Step S630: When the network performance parameter does not meet the first preset condition, transmitting the physiological parameter data and the monitoring environment data to the terminal device 300 respectively includes:

[0075] Step S635: When the network performance parameter meets the second preset condition, transmitting the physiological parameter to the terminal device 300 through the high-priority transmission channel.

[0076] Specifically, the network performance parameter includes, but is not limited to, data values such as delay, bandwidth, packet loss rate, jitter, throughput, availability, error rate, retransmission rate, etc. At least one or more of them are used as judgment indicators to evaluate the current wireless communication link quality of the second network, that is, to judge parameters such as the stability, rate, and signal strength of the current wireless communication transmission. Among them, the second network includes at least one high-priority transmission channel, and the high-priority transmission channel is triggered when the emergency transmission mode is triggered, so as to ensure that at least one piece of data is transmitted to the terminal device 300 for display through the high-priority transmission channel in an emergency.

[0077] For example, in order to ensure the data transmission in an emergency, the second preset condition can be understood as the downlink threshold or the lowest threshold. Taking the rate in the network performance parameter as the reference standard, when the second network is a wifi transmission, the second preset condition is set as a relatively small transmission rate, such as less than or equal to 2 Mbps. When the second network performance parameter is less than or equal to 2 Mbps, the emergency transmission mode is triggered, so that the monitoring device 100 transmits the physiological parameter to the terminal device 300 through the high-priority transmission channel to ensure the stable transmission of critical vital sign data.

[0078] At the same time, the second preset condition can also be dynamically adjusted according to the average network rate in the past 24 hours, reducing the parameter of the second preset condition to increase the startup threshold of the emergency transmission mode and ensure the synchronization of audio-visual and physiological parameter data as much as possible.

[0079] It can be understood that a third preset condition can also be set. The parameter of the third preset condition is greater than the maximum parameter of the second preset condition and less than the minimum parameter of the first preset condition. For example, the third preset condition is greater than 5 Mbps and less than 15 Mbps. When the second network performance parameter meets the third preset condition, the video data resolution is reduced. If the current video data resolution is 1080p, the video resolution can be reduced from 1080p to 720p to ensure audio-visual and physiological parameter synchronization. Further, a fourth preset condition can also be set. The parameter of the fourth preset condition is greater than the maximum parameter of the second preset condition and less than the minimum parameter of the third preset condition. When the second network performance parameter meets the fourth preset condition, the video data transmission is paused to retain the audio data transmission and ensure the transmission of physiological data parameters synchronously.

[0080] In the embodiment of the present application, step S600, transmitting the monitoring data to a terminal device 300 through a second network further includes:

[0081] When preset feature data appears in the monitored environment data, the monitored environment data is transmitted to the terminal device 300 through a high-priority transmission channel.

[0082] Specifically, in the emergency transmission mode, the high-priority transmission channel can also transmit preset feature data. The preset feature data includes, but is not limited to, abnormal sound data, abnormal behavior data, or abnormal facial data. When it is detected that the sound data in the monitored environment data matches the preset abnormal sound data, or the behavior data matches the preset abnormal behavior data, the corresponding monitored environment data is transmitted to the terminal device 300 through the high-priority channel. Further, the terminal device 300 can trigger an alarm module to alert the user to check.

[0083] It can be understood that the preset abnormal sound data includes crying, the abnormal behavior data includes falling and convulsions, and the abnormal facial data includes abnormal facial feature recognition, such as unable to recognize the face (the face is covered or turned over), there is a foreign object on the face (the baby spits up milk), etc. The above abnormalities can all be recognized and analyzed by the audio data processing module and the image data processing module for their audio and video.

[0084] Specifically, in this embodiment, the above functions are implemented through the following modules:

[0085] Adaptive Transmitter: Responsible for data processing and transmission strategy control at the sending end.

[0086] Adaptive Receiver: Set in the terminal device 300, responsible for data reception and recombination at the receiving end.

[0087] Data Fusion Manager: Responsible for data fusion and separation

[0088] Network Monitor: Responsible for monitoring network status.

[0089] Performance Monitor: Responsible for monitoring system performance.

[0090] High-priority channel: Responsible for preferentially transmitting critical physiological data when the network environment is poor.

[0091] Among them, the adaptive transmitter includes the following parameters:

[0092] server_host: Terminal host address

[0093] video_port: Video data port

[0094] physio_port: Physiological data port

[0095] fused_port: Fused data port

[0096] priority_port: High-priority channel port, default is None

[0097] buffer_size: Buffer size

[0098] network_check_interval: Network check interval (seconds)

[0099] After initializing the adaptive transmitter, video data, physiological data, and high-priority data (if any) are respectively added to the transmission queue of the buffer. After starting the adaptive transmission task, the network status is regularly checked. For example, a ping command can be sent to the terminal host address, and the network status is judged according to the parsing result. When the network is good, fused transmission is used. When the network is poor, high-priority data is processed first, and then separated transmission is used.

[0100] The Adaptive Receiver also includes the corresponding video_port: video data port, physio_port: physiological data port, fused_port: fused data port, priority_port: high-priority channel port. After starting the receiving thread, if the high-priority channel port is in the open state, the high-priority receiving thread is started first to receive high-priority data.

[0101] Reference Figure 4Flowchart of this embodiment of the present application. Step S400: Receiving physiological parameter data sent by a medical device 200 through a first network includes:

[0102] Step S410: Obtaining the timestamp information in the monitoring environment data;

[0103] Step S420: Receiving the physiological parameter data according to the timestamp information.

[0104] When fusing physiological parameter data and audio-visual data, problems such as data synchronization, feature extraction and matching, inconsistent data dimensions, and the effectiveness of fusion methods will be faced. For example, physiological parameter data (such as heart rate, blood pressure, electroencephalogram, etc.) is usually recorded in the form of time series, while video data is an image sequence, and their sampling frequencies and timestamps are often inconsistent, resulting in difficult time alignment. For example, a physiological sensor may collect data 100 times per second, while the video may only be 30 frames per second.

[0105] In this embodiment, by ensuring accurate timestamps for physiological parameters and audio-visual data during data collection, through hardware synchronization, the same clock source is used to achieve consistency.

[0106] Specifically, the monitoring device 100 includes a clock device that can generate timestamps with relatively high precision, usually at the millisecond level. Multi-source data synchronization is achieved through timestamps, that is, synchronization of audio-visual and physiological parameter data in the terminal device 300. Among them, a timestamp field is added to the received physiological parameter data, and the monitoring environment data is aligned with the physiological parameter data according to the timestamp field.

[0107] Reference Figure 5 Flowchart of this embodiment of the present application. The monitoring device 100 includes an acoustic-electric or opto-electric conversion device 100. Audio data is collected through the acoustic-electric conversion device or video data is collected through the opto-electric conversion device. Step S200: Collecting the monitoring environment data includes:

[0108] Step S210: Generating a sampling frequency through the clock device;

[0109] Step S220: Controlling the acoustic-electric or opto-electric conversion device 100 to collect the monitoring environment data according to the sampling frequency.

[0110] Since a dedicated clock device is set in the monitoring device 100 in this embodiment, which is specifically used to generate timestamp information, whether receiving physiological parameter data or collecting audio-visual data, the timestamp information generated by this clock device is used, achieving consistency of time information and ensuring the accuracy of data synchronization.

[0111] Specifically, the acoustic-electric conversion device includes an audio data processing module for collecting audio data and capable of realizing voice detection, voice interaction, and ambient noise monitoring. The optoelectronic conversion device includes an image data processing module for collecting video data and having functions such as behavior recognition and facial expression recognition. A fixed acquisition frequency is generated by a clock device to collect audio data and video data and align them through timestamps.

[0112] An embodiment of the present application can also provide a monitoring device 100, including:

[0113] An acoustic-electric or optoelectronic conversion device 100 for collecting monitoring environment data, where the monitoring environment data includes audio data or video data;

[0114] A first network module for receiving physiological parameter data of a monitored object sent by a medical device 200 through a first network;

[0115] A second network module for transmitting monitoring data to a terminal device 300 through a second network, where the monitoring data includes monitoring environment data and physiological parameter data;

[0116] A processing module for executing the monitoring data transmission method as in the above embodiment.

[0117] Specifically, the monitoring device 100 includes an acoustic-electric or optoelectronic conversion device 100 capable of receiving audio data and video data, such as a monitoring camera, for collecting monitoring environment data and receiving physiological parameter data. The terminal device 300 can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc. The monitoring device 100 further includes a first network module, a second network module, and a processing module. The first network module receives physiological parameter data through the wireless communication method of the first network, and the second network module transmits monitoring data to the terminal device 300 through the wireless communication method of the second network. The processing module is used to execute the specific embodiment of the above monitoring data transmission method, which will not be elaborated here.

[0118] In an embodiment of the present application, the monitoring device 100 further includes:

[0119] A clock device for generating the acquisition frequency of the monitoring environment data;

[0120] The processing module is further used to execute the monitoring data transmission method as in the above embodiment.

[0121] Specifically, the monitoring device 100 further includes a clock device. The clock device generates a fixed acquisition frequency and a timestamp. After receiving the physiological parameter data, alignment is performed through the timestamp. The processing module also executes the specific embodiment of the above monitoring data transmission method, which will not be elaborated here.

[0122] Reference Figure 1, an embodiment of the present application can also provide a monitoring system, including:

[0123] A medical device 200, configured to collect physiological parameter data of a monitored object and send it to the monitoring device 100 or broadcast it to the monitoring device 100;

[0124] The monitoring device 100 of the above embodiment;

[0125] A terminal device 300, configured to display the monitoring data sent by the monitoring device 100.

[0126] Specifically, the medical device 200 can be a wearable medical device, a bedside monitor, etc., which is a device with a physiological parameter collection function. The physiological parameter data is used to characterize the physical state of the user and may include age, gender, height, weight, blood pressure, blood sugar, blood oxygen, respiratory rate, heart rate, electrocardiogram waveform, body fat percentage, body temperature, sleep data, etc. To achieve the above functions, the medical device 200 includes detection sensors such as a blood oxygen sensor, a heart rate sensor, and a body temperature sensor, which are configured to collect physiological parameter data of the monitored object and send it to the monitoring device 100. It can be understood that there can also be multiple medical devices 200, and the physiological collection data collected by the multiple medical devices 200 is transmitted to the monitoring device 100. The medical device 200 includes, but is not limited to, a pulse oximeter, a thermometer, an electrocardiograph, or a sphygmomanometer, etc.

[0127] The specific implementation manner of the monitoring device 100 is described in the above specific embodiment, and the monitoring data transmission method is applied to the monitoring device 100 and performs data interaction with the terminal device 300, which will not be elaborated here.

[0128] The terminal device 300 can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc. When the terminal device 300 receives the monitoring data, it displays the monitoring environment data and physiological parameter data through a video display device, so as to facilitate the user's intuitive monitoring and improve the real-time performance of the user's monitoring.

[0129] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structural transformation made under the concept of the present application using the content of the specification and drawings of the present application, or directly / indirectly applied in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A monitoring data transmission method, characterized in that: The method is applied to a monitoring device, the monitoring data includes monitoring environment data and physiological parameter data of a monitored object, and the method includes: Collecting monitoring environment data, wherein the monitoring environment data includes audio data or video data; Receiving the physiological parameter data sent by a medical device through a first network; The monitoring data is transmitted to a terminal device via the second network.

2. The monitoring data transmission method according to claim 1, characterized in that: The transmitting the monitoring data to a terminal device via the second network includes: detecting a network performance parameter of the second network; When the network performance parameter meets the first preset condition, the physiological parameter data is synchronized with the monitoring environment data through a timestamp and then data fused to generate a fused data stream, and then the fused data stream is transmitted to the terminal device; When the network performance parameter does not meet the first preset condition, the physiological parameter data and the monitoring environment data are transmitted to the terminal device respectively.

3. The monitoring data transmission method according to claim 2, characterized in that: The second network includes at least one high-priority transmission channel, and when the network performance parameter does not meet the first preset condition, transmitting the physiological parameter data and the monitoring environment data to the terminal device respectively includes: When the network performance parameter meets the second preset condition, the physiological parameter is transmitted to the terminal device through the high priority transmission channel.

4. The monitoring data transmission method according to claim 3, characterized in that: The network performance parameter includes at least one data value of bandwidth, delay, jitter, packet loss rate, throughput, availability, error rate, and retransmission rate, and transmitting the monitoring data to a terminal device through the second network also includes: When it is detected that preset characteristic data appears in the monitoring environment data, the monitoring environment data is transmitted to the terminal device through the high priority transmission channel.

5. The monitoring data transmission method according to any of claims 1 to 4, characterized in that: The receiving, through the first network, the physiological parameter data sent by a medical device comprises: Obtaining timestamp information in the monitoring environment data; The physiological parameter data is received according to the timestamp information.

6. The monitoring data transmission method according to claim 5, characterized in that: The monitoring device includes a clock device and an acoustic-electric or photoelectric conversion device, and the audio data is collected by the acoustic-electric conversion device or the video data is collected by the photoelectric conversion device. The collected monitoring environment data includes: generating a collection frequency by means of the clock device; The acoustic-electric or photoelectric conversion device is controlled to collect the monitoring environment data according to the collection frequency.

7. A monitoring device, characterized in that: include: An acoustic-electric or photoelectric conversion device, used to collect monitoring environment data, wherein the monitoring environment data includes audio data or video data; A first network module, used for receiving physiological parameter data of a monitored object sent by a medical device through a first network; A second network module, used for transmitting the monitoring data to a terminal device through a second network, wherein the monitoring data includes the monitoring environment data and the physiological parameter data; A processing module, used to execute the monitoring data transmission method as described in any of claims 1-5.

8. The monitoring device according to claim 7, characterized in that: Also includes: A clock device, used to generate the monitoring environment data collection frequency; The processing module is also used to execute the monitoring data transmission method as claimed in claim 6.

9. A monitoring system, characterized in that: include: A medical device for collecting physiological parameter data of a monitored subject and sending the data to the monitoring device or broadcasting the data to the monitoring device; The monitoring device according to claim 7 or 8; The terminal device is used to display the monitoring data sent by the monitoring device.

10. The monitoring system according to claim 9, characterized in that: The medical device includes a blood oximeter, a thermometer, an electrocardiograph or a sphygmomanometer, and the terminal device includes a video display device, which is used to display the monitoring environment data and the physiological parameter data.

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