Internet of Things relay communication controller for wearable physiological parameter monitoring
The design of the IoT relay communication controller solves the problem of data loss in wearable physiological parameter monitoring devices, realizes data reliability and multi-device access, and is suitable for data transmission and storage of wearable physiological parameter monitoring devices.
Patent Information
- Application Number
- CN202423258615.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2026-01-27
- Estimated Expiration
- 2034-12-26
AI Technical Summary
Wearable physiological parameter monitoring devices use a single sensor for wireless data transmission, which is prone to data loss and is highly dependent on the network, making it impossible to achieve wide-range mobile access.
Design an IoT relay communication controller, including a LoRa wireless automatic networking module, a power supply module, a WAN port, a real-time clock module, a Wi-Fi module, an LTE wireless communication module, and a storage module. It connects to the cloud platform via LoRa wireless spread spectrum communication and temporarily stores data in the storage module when the core board loses connection with the cloud platform, and uploads the data after the connection is restored.
It improves data reliability, reduces dependence on the network, enables data access from multiple wearable devices and large-scale mobile access, and ensures data integrity and stability.
Smart Images
Figure CN223843898U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of communication controller technology, and in particular to an Internet of Things relay communication controller for wearable physiological parameter monitoring. Background Technology
[0002] Human physiological parameter monitoring technology refers to the real-time monitoring of a person's physiological condition, including indicators such as heart rate, blood oxygen saturation, and respiratory rate, using sensors and other devices. These indicators are crucial for understanding an individual's health status and for timely detection of abnormalities. In the past, people needed medical equipment or comprehensive examinations to obtain this information. Now, with the help of wearable devices, people can monitor their health status at any time.
[0003] Wearable devices have functions such as signal detection and processing, signal feature extraction and data transmission. They can be used for non-invasive monitoring of human physiological parameters and have the characteristics of low physiological load, low psychological load, mobile operation, ease of use, support for long-term continuous work and wireless data transmission.
[0004] The characterization of human health requires long-term and accurate monitoring of physiological parameters. However, wearable physiological parameter monitoring devices, which rely on a single sensor for wireless data transmission, are prone to data loss, affecting data reliability. Furthermore, they are highly dependent on networks and cannot achieve widespread mobile access.
[0005] Therefore, it is necessary to provide a new approach to solve the aforementioned technical problems. Utility Model Content
[0006] In order to achieve the above-mentioned objectives and other advantages of this utility model, the purpose of this utility model is to provide an Internet of Things relay communication controller for wearable physiological parameter monitoring, including a core board, a LoRa wireless automatic networking module, a power supply module, a WAN port, a real-time clock module, a Wi-Fi module, an LTE wireless communication module, and a storage module.
[0007] The LoRa wireless automatic networking module, the power supply module, the WAN port, the real-time clock module, the Wi-Fi module, the LTE wireless communication module, and the storage module are connected to the core board;
[0008] The power supply module is used to supply power to the core board;
[0009] The core board communicates with the cloud platform through the LoRa wireless automatic networking module.
[0010] The wearable physiological parameter monitoring device communicates with the core board through the WAN port, the Wi-Fi module, or the LTE wireless communication module.
[0011] The real-time clock module is used to provide a precise time reference for the core board;
[0012] The storage module is used to store the physiological parameters collected by the wearable physiological parameter monitoring device when the core board is disconnected from the cloud platform.
[0013] Furthermore, the LoRa wireless automatic networking module is connected to the core board via LoRa wireless spread spectrum communication, and the LoRa wireless automatic networking module is connected to the cloud platform via a serial bus.
[0014] Furthermore, the power supply module adopts a Type-C power supply interface.
[0015] Furthermore, the real-time clock module includes a diode, a resistor, and a supercapacitor. The positive terminal of the diode is connected to the core board, the negative terminal of the diode is connected to the positive terminal of the supercapacitor and the core board, and the negative terminal of the supercapacitor is grounded.
[0016] Furthermore, the storage module includes a DDR memory module and a flash memory chip, and the DDR memory module and the flash memory chip are connected to the core board.
[0017] Furthermore, it also includes indicator lights, which are connected to the core board.
[0018] Furthermore, it also includes a backup power supply, which is connected to the core board.
[0019] Furthermore, the wearable physiological parameter monitoring device is equipped with an accelerometer.
[0020] Furthermore, the accelerometer integrates an adjustment circuit.
[0021] Furthermore, the LTE wireless communication module has a built-in FPC antenna.
[0022] Compared with the prior art, the beneficial effects of the embodiments of this utility model are:
[0023] This invention provides an IoT relay communication controller for wearable physiological parameter monitoring. It can parse, cache, and repackage data collected by wearable physiological parameter monitoring devices and send it to a cloud platform. Furthermore, when the core board loses connection with the cloud platform and cannot transmit data in real time, it can temporarily store the data collected by the wearable physiological parameter monitoring device in the core board's storage module, waiting for communication between the core board and the cloud platform to be restored before uploading. This solves the problems of data loss that often occur when wearable physiological parameter monitoring devices use a single sensor data wireless transmission method, improving data reliability, reducing dependence on the network, and providing a one-to-many IoT relay communication controller, enabling data access from multiple wearable physiological parameter monitoring devices and achieving true mobile access over a wide range.
[0024] The above description is merely an overview of the technical solution of this utility model. In order to better understand the technical means of this utility model and to implement it according to the contents of the specification, the preferred embodiments of this utility model are described in detail below with reference to the accompanying drawings. The specific implementation methods of this utility model are given in detail in the following embodiments and their accompanying drawings. Attached Figure Description
[0025] The accompanying drawings, which are included to provide a further understanding of the present invention and form part of this application, illustrate exemplary embodiments of the present invention and, together with the description thereof, serve to explain the present invention and do not constitute an undue limitation thereof. In the drawings:
[0026] Figure 1 This is an architecture diagram of an IoT relay communication controller used for wearable physiological parameter monitoring.
[0027] Figure 2 A schematic diagram of an IoT relay communication controller used for wearable physiological parameter monitoring;
[0028] Figure 3 This is a schematic diagram of a real-time clock module;
[0029] Figure 4 This is a schematic diagram of a LoRa wireless automatic networking module;
[0030] Figure 5 This is a schematic diagram of the storage module;
[0031] Figure 6 This is a schematic diagram of a wearable physiological parameter monitoring device.
[0032] Figure 7 This is a schematic diagram of an LTE wireless communication module. Detailed Implementation
[0033] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of the present invention.
[0034] In the accompanying drawings, shapes and dimensions may be enlarged for clarity, and the same reference numerals will be used in all figures to indicate the same or similar parts.
[0035] In the following description, terms such as center, thickness, height, length, front, back, rear, left, right, top, bottom, upper, and lower are defined relative to the structure shown in the accompanying drawings. In particular, "height" corresponds to the dimension from top to bottom, "width" corresponds to the dimension from left to right, and "depth" corresponds to the dimension from front to back. These are relative concepts and may vary depending on their location and usage. Therefore, these or other orientations should not be interpreted as restrictive terms.
[0036] Terms involving attachment, connection, etc. (e.g., “connection” and “attachment”) refer to the relationship in which these structures are directly or indirectly fixed or attached to each other through an intermediate structure, as well as movable or rigid attachments or relationships, unless otherwise explicitly stated.
[0037] Example 1
[0038] An IoT relay communication controller for wearable physiological parameter monitoring, such as Figure 1 , Figure 2 As shown, it includes a core board, a LoRa wireless automatic networking module, a power supply module, a WAN port, a real-time clock module, a Wi-Fi module, an LTE wireless communication module, and a storage module;
[0039] The LoRa wireless automatic networking module, the power supply module, the WAN port, the real-time clock module, the WiFi module, the LTE wireless communication module, and the storage module are connected to the core board;
[0040] The power supply module is used to supply power to the core board;
[0041] The core board communicates with the cloud platform through the LoRa wireless automatic networking module.
[0042] The wearable physiological parameter monitoring device communicates with the core board through the WAN port, the Wi-Fi module, or the LTE wireless communication module.
[0043] The real-time clock module is used to provide a precise time reference for the core board;
[0044] The storage module is used to store the physiological parameters collected by the wearable physiological parameter monitoring device when the core board is disconnected from the cloud platform.
[0045] In some embodiments, such as Figure 4 As shown, the LoRa wireless automatic networking module communicates with the core board via LoRa wireless spread spectrum communication, enabling bidirectional data transmission and strong anti-interference capabilities. The LoRa wireless automatic networking module is connected to the cloud platform via a serial bus. For example, the LoRa wireless automatic networking module and the cloud platform perform bidirectional data transmission via an RS485 interface; the LoRa wireless automatic networking module transmits physiological parameters sent by the core board to the cloud platform via the RS485 interface.
[0046] In some embodiments, the power supply module adopts a Type-C power supply interface. Compared to the traditional USB interface, the Type-C interface offers several advantages. It supports reversible insertion, eliminating the need to distinguish between the front and back of the connector, thus improving ease of use. Furthermore, it supports higher transmission speeds and greater current output, meeting the charging and data transfer needs of a wider range of devices. In addition, the Type-C interface also supports video output and audio transmission, expanding its application scenarios.
[0047] There are two main power supply methods for Type-C interfaces: USB-PD and QC. USB-PD is a charging protocol based on the USB Type-C interface, which supports bidirectional charging, multiple voltage and current outputs, and high charging efficiency; QC is a fast charging technology launched by Qualcomm, which is widely used in various mobile devices and charges quickly.
[0048] In some embodiments, such as Figure 3 As shown, the real-time clock module includes a diode D1, a resistor R1, and a supercapacitor C1. The positive terminal of the diode is connected to the VCC_3V3 pin of the core board, the negative terminal of the diode is connected to the positive terminal of the supercapacitor and the VCC_RTC pin of the core board, and the negative terminal of the supercapacitor is grounded.
[0049] When the core board is powered on, the supercapacitor charges through diodes and resistors, simultaneously powering the RTC; when the core board is powered off, the supercapacitor discharges, powering the RTC. Meanwhile, due to the unidirectional conductivity of the diodes, no additional discharge occurs. Using supercapacitors allows for the rapid storage and supply of high-power electricity and numerous cycles without performance degradation.
[0050] In some embodiments, such as Figure 5 As shown, the storage module includes a DDR memory module and a flash memory chip, which are connected to the core board. For example, a 2GB DDR memory module and a 32GB eMMC flash memory chip are used.
[0051] In some embodiments, an indicator light is also included, which is connected to the core board and can be used to indicate the status of the core board, such as communication connection status, storage status, etc.
[0052] In some embodiments, a backup power supply is also included, which is connected to the core board. Since characterizing human health requires long-term, accurate monitoring of physiological parameters, it is necessary to ensure the core board's stable operation over extended periods. This can be achieved by adding a backup power supply to maintain the core board's long-term operation.
[0053] Wearable physiological parameter monitoring devices can monitor physiological parameters such as blood pressure, heart rate, electrocardiogram, blood oxygen saturation, and body temperature. Taking the measurement of blood oxygen saturation as an example, the collected blood oxygen saturation signal is only valid and reflects the true blood oxygen saturation level when the body is at rest or in a state of steady motion. However, when the body is in a state of strenuous exercise, the calculation of blood oxygen saturation will produce significant errors. Therefore, it is necessary to determine the body's motion state when the wearable physiological parameter monitoring device collects signals to reduce errors in physiological parameters and ensure the accuracy of physiological indicator judgments.
[0054] In some embodiments, such as Figure 6 As shown, the wearable physiological parameter monitoring device includes an accelerometer. Furthermore, the accelerometer integrates an adjustment circuit to adjust the offset voltage of the operational amplifier circuit, offsetting the voltage introduced by manufacturing errors at the positive terminal of the operational amplifier, thus stabilizing the circuit voltage. For example, an L IS3DHH triaxial linear accelerometer can be used to measure acceleration; this accelerometer achieves high integration and integrates the aforementioned adjustment circuit.
[0055] In some embodiments, such as Figure 7 As shown, the LTE wireless communication module has a built-in FPC antenna, which is integrated into the module for installation and use, resulting in a small module size, reliable performance, and stable signal.
[0056] This embodiment provides an IoT relay communication controller for wearable physiological parameter monitoring. It can parse, cache, and repackage data collected by wearable physiological parameter monitoring devices and send it to the cloud platform. Furthermore, when the core board loses connection with the cloud platform and cannot transmit data in real time, it can temporarily store the data collected by the wearable physiological parameter monitoring device in the core board's storage module, waiting for communication between the core board and the cloud platform to be restored before uploading. This solves the problem of data loss that easily occurs when wearable physiological parameter monitoring devices use a single sensor data wireless transmission method in related technologies. It improves data reliability, reduces dependence on the network, and provides a one-to-many IoT relay communication controller, enabling data access from multiple wearable physiological parameter monitoring devices and achieving true mobile access over a wide range.
[0057] The number of devices and processing scale described herein are for the purpose of simplifying the description of this utility model. Applications, modifications, and variations of this utility model will be readily apparent to those skilled in the art.
[0058] Although the embodiments of this utility model have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for this utility model. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, this utility model is not limited to the specific details and the illustrations shown and described herein.
[0059] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0060] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.
[0061] The above description is merely an embodiment of this specification and is not intended to limit the scope of one or more embodiments of this specification. Various modifications and variations can be made to one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of one or more embodiments of this specification.
Claims
1. An Internet of Things (IoT) relay communication controller for wearable physiological parameter monitoring, characterized in that: It includes a core board, a LoRa wireless automatic networking module, a power supply module, a WAN port, a real-time clock module, a WiFi module, an LTE wireless communication module, and a storage module; The LoRa wireless automatic networking module, the power supply module, the WAN port, the real-time clock module, the WiFi module, the LTE wireless communication module, and the storage module are connected to the core board; The power supply module is used to supply power to the core board; The core board communicates with the cloud platform through the LoRa wireless automatic networking module. The wearable physiological parameter monitoring device communicates with the core board through the WAN port, the WiFi module, or the LTE wireless communication module. The real-time clock module is used to provide a precise time reference for the core board; The storage module is used to store the physiological parameters collected by the wearable physiological parameter monitoring device when the core board is disconnected from the cloud platform.
2. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: The LoRa wireless automatic networking module is connected to the core board via LoRa wireless spread spectrum communication, and the LoRa wireless automatic networking module is connected to the cloud platform via a serial bus.
3. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: The power supply module uses a Type-C power supply interface.
4. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: The real-time clock module includes a diode, a resistor, and a supercapacitor. The positive terminal of the diode is connected to the core board, the negative terminal of the diode is connected to the positive terminal of the supercapacitor and the core board, and the negative terminal of the supercapacitor is grounded.
5. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: The storage module includes a DDR memory module and a flash memory chip, and the DDR memory module and the flash memory chip are connected to the core board.
6. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: It also includes indicator lights, which are connected to the core board.
7. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: It also includes a backup power supply, which is connected to the core board.
8. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: The wearable physiological parameter monitoring device is equipped with an accelerometer.
9. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 8, characterized in that: The accelerometer integrates an adjustment circuit.
10. The IoT relay communication controller for wearable physiological parameter monitoring as described in claim 1, characterized in that: The LTE wireless communication module has a built-in FPC antenna.