CN215340750U - Exoskeleton IoT module and wearable IoT system - Google Patents
Exoskeleton IoT module and wearable IoT system Download PDFInfo
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Abstract
本申请涉及一种外骨骼物联网模组和可穿戴物联网系统。其中，外骨骼物联网模组，包括可穿戴物联网模块；可穿戴物联网模块包括设于外骨骼托板根部的负重探测器，以采集并输出背部负重信息；可穿戴物联网模块还包括设于外骨骼腿部的运动感测器，以采集并输出腿部运动信息；设于外骨骼腰背部的主控模组，主控模组分别连接负重探测器、运动感测器；主控模组还用于连接后台服务器，以将接收到的背部负重信息和腿部运动信息传输给后台服务器。本申请可实现对穿戴者运动作业数据的无缝跟踪探测，并将数据远程传输到后台服务器，具有高通用性和高可扩展性。
The present application relates to an exoskeleton IoT module and a wearable IoT system. Among them, the exoskeleton IoT module includes a wearable IoT module; the wearable IoT module includes a load-bearing detector located at the root of the exoskeleton support plate to collect and output back load-bearing information; the wearable IoT module also includes a device The motion sensors on the legs of the exoskeleton collect and output the motion information of the legs; the main control module is located on the lower back of the exoskeleton, and the main control modules are respectively connected to the load detector and the motion sensor; the main control module The group is also used to connect to the backend server to transmit the received back weight information and leg movement information to the backend server. The application can realize the seamless tracking and detection of the wearer's movement operation data, and transmit the data to the background server remotely, which has high versatility and high scalability.
Description
Technical Field
The application relates to the technical field of wearable equipment, in particular to an exoskeleton Internet of things module and a wearable Internet of things system.
Background
With the development of modern war, the weapon equipment is continuously improved, and the soldier is on the back and is on the weight more and more, and the fighting capacity and the health condition of the soldier are directly influenced. In recent years, the exoskeleton applied to physical performance enhancement as a wearable mechanical device with powerful functions is more and more emphasized by numerous scholars and scientific researchers at home and abroad, becomes a new research hotspot, and starts to be gradually applied to the field of military industry.
The Internet of things is expected to provide stronger functions for high-tech products such as exoskeleton robots. The internet of things seamlessly integrates physical objects into an information network to provide advanced and intelligent services. The internet of things can be defined as "dynamic global network infrastructure with self-configuration capability based on standard and interoperable communication protocols" in which physical and virtual "things" have identities, physical attributes and virtual personalities, and use intelligent interfaces and seamless integration into an information network.
In the implementation process, at least the following problems are found in the conventional technology: the wearable internet of things based on exoskeleton equipment at present has the problems of poor universality, poor expansibility and the like.
SUMMERY OF THE UTILITY MODEL
Therefore, in order to solve the technical problems, an exoskeleton internet of things module and a wearable internet of things system capable of improving universality and expansibility are needed.
In order to achieve the above object, in one aspect, an embodiment of the present application provides an exoskeleton internet of things module, including:
a wearable Internet of things module; the wearable Internet of things module comprises a load detector arranged at the root of the exoskeleton supporting plate so as to collect and output back load information; the wearable Internet of things module also comprises a motion sensor arranged on the exoskeleton leg to collect and output leg motion information;
the main control module is arranged on the waist and back of the exoskeleton and is respectively connected with the load detector and the motion sensor; the main control module is also used for connecting a background server so as to transmit the received back load information and the leg movement information to the background server.
In one embodiment, the exoskeleton internet of things module further comprises a GPS module embedded in the main control module.
In one embodiment, the load detector includes a membrane pressure sensor;
the film pressure sensor is arranged on a binding surface between the root of the supporting plate and the exoskeleton back plate; the film sensor is connected with the main control module through the ADC interface.
In one of the embodiments, the first and second electrodes are,
the motion sensor comprises a first inertia measuring unit arranged in the exoskeleton thigh skeleton and a second inertia measuring unit arranged in the exoskeleton shank skeleton;
the first inertia measurement unit and the second inertia measurement unit are connected with the main control module.
In one embodiment, the motion sensor further comprises an analog-to-digital converter;
one end of the analog-to-digital converter is connected with the first inertia measuring unit and the second inertia measuring unit respectively, and the other end of the analog-to-digital converter is connected with the master control module through Bluetooth.
In one embodiment, the system further comprises a wireless communication module; the main control module is connected with the background server through the wireless communication module.
In one embodiment, the wireless communication module is an NB-IOT unit; the main control module is connected with the NB-IOT unit through a Uart interface and/or an I2C interface.
In one embodiment, the main control module is an MCU; the exoskeleton Internet of things module further comprises a power management module connected with the MCU.
A wearable Internet of things system comprises a plurality of exoskeleton Internet of things modules; also comprises a base station and a background server
Each exoskeleton Internet of things module is connected with a background server through a corresponding base station.
In one embodiment, the background server is a cloud server; the base station is an NB base station.
One of the above technical solutions has the following advantages and beneficial effects:
the exoskeleton Internet of things module provides an Internet of things function for the exoskeleton, and has high universality and high expandability; the wearable Internet of things module can track the motion data of an exoskeleton wearer, non-contact acquisition of back load information and leg motion information is adopted, and then the main control module can transmit the related motion data to the cloud server; the system can detect the movement operation data such as the carrying weight, the movement state, the movement time, the movement distance, the current position and the like of a wearer, remotely transmit the information to the background server, and obtain the physiological information of the human body movement, the fatigue degree reduction, the reduced metabolic consumption after the exoskeleton is worn and the like through the extraction, analysis and calculation of the data.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is an application environment diagram of an exoskeleton internet of things module in an embodiment;
fig. 2 is a schematic structural diagram of an exoskeleton internet of things module in one embodiment;
fig. 3 is a schematic structural diagram of an exoskeleton internet of things module in another embodiment;
fig. 4 is a schematic structural diagram of an exoskeleton internet of things module in one embodiment;
FIG. 5 is a block diagram of a wearable Internet of things system in one embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another.
Spatial relational terms, such as "under," "below," "under," "over," and the like may be used herein to describe one element or feature's relationship to another element or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements or features described as "below" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the exemplary terms "under" and "under" can encompass both an orientation of above and below. In addition, the device may also include additional orientations (e.g., rotated 90 degrees or other orientations) and the spatial descriptors used herein interpreted accordingly.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or be connected to the other element through intervening elements. Further, "connection" in the following embodiments is understood to mean "electrical connection", "communication connection", or the like, if there is a transfer of electrical signals or data between the connected objects.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof. Also, as used in this specification, the term "and/or" includes any and all combinations of the associated listed items.
The application of the Internet of things in the exoskeleton can improve the intelligence and functional boundary of the exoskeleton system. The internet of things system is worn on a human body by taking an outer skeleton as a medium, so that the wearable internet of things system is formed. The wearable internet of things in the passive load-bearing exoskeleton can seamlessly track the personalized movement operation information of a wearer, namely bearing weight, movement state, movement time, movement distance and current position.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The exoskeleton internet of things module provided by the application can be applied to the application environment shown in fig. 1. As shown in fig. 1, the structure of the passive heavy-negative exoskeleton with the internet of things function may include a back plate, a back support strip, a supporting plate, a lumbar support, a hip joint connection, a thigh support strip, an adjusting buckle, a thigh baffle, a knee joint connection, a shank baffle, a shank support strip, an ankle joint connection, a foot binding device, and the like.
Furthermore, after the exoskeleton is worn by a human body, a heavy object is placed on the back supporting plate, part of the weight of the heavy object is transmitted to the waist support through the supporting plate and then transmitted to the ground through the hip joint connection, the thigh skeleton, the knee joint connection and the shank skeleton and ankle joint connection, and therefore the load of the human body is reduced.
In one embodiment, as shown in fig. 2, there is provided an exoskeleton internet of things module, which is exemplified by the application of the module to the exoskeleton in fig. 1, and includes:
the wearable internet of things module 110, wherein the wearable internet of things module 110 comprises a load detector 112 arranged at the root of the exoskeleton supporting plate so as to collect and output back load information; the wearable internet of things module 110 further comprises a motion sensor 114 arranged on the exoskeleton leg to collect and output leg motion information;
the main control module 120 is arranged on the waist and the back of the exoskeleton, and the main control module 120 is respectively connected with the load detector 112 and the motion sensor 114; the main control module 120 is further configured to connect to a background server, so as to transmit the received back load information and leg movement information to the background server.
Specifically, the exoskeleton internet of things module can comprise a wearable internet of things module 110 for tracking movement operation data of an exoskeleton wearer, and a main control module 120 arranged on the waist and back of the exoskeleton; the exercise data in the present application may include back load information, leg exercise information, and the like, for example, the wearer's weight on the back, exercise state, exercise time, moving distance, current position, and the like.
Based on this application promptly, strengthen human heavy burden ability in the skeleton, reduce the intrinsic function prerequisite of human metabolism consumption, can realize non-contact through wearable thing networking module and bear the weight of the body, motion state, movement time, displacement, the detection of information such as current position to the wearing person, and then can seamless tracking wearing person's individualized motion operation information.
The wearable internet of things module 110 may include a load detector 112 placed at the root of the pallet and a motion sensor 114 placed at the exoskeleton leg. Further, the load detector 112 may be used to collect and output back load information and the motion sensor 114 may be used to collect and output leg motion information. This application can non-contact's collection back heavy burden information and shank motion information promptly.
According to the exoskeleton robot, related sensors (a load detector, a motion sensor and the like) are embedded into the exoskeleton, and on the premise of protecting electronic components, the exoskeleton robot has good appearance integrity and high concealment; based on wearable thing networking module for this application can adopt non-contact to survey human motion state, and the wearer acceptance is high, and the commonality is good. The wearable internet of things module based on the application can collect the motion information and the load information of the human body in a non-contact manner, and has important significance in human body fatigue analysis and working strength analysis of the background server.
Where the exoskeleton-mounted sensors can collect a large amount of data about the body's movements, the data can be further aggregated, fused, processed, analyzed and mined to extract useful physiological information to provide sophisticated and intelligent services. The exoskeleton internet of things module enables exoskeleton equipment to be capable of conducting autonomous interaction, so that the man-machine combination is simpler and efficient, and richer functions are achieved.
In some embodiments, load detector 112 may include a membrane pressure sensor;
the film pressure sensor is arranged on a binding surface between the root of the supporting plate and the exoskeleton back plate to acquire back load pressure; the film sensor is connected with the main control module through an Analog-to-Digital Converter (ADC) interface, and transmits the back load pressure to the main control module.
Specifically, the back load information may include back load pressure, and the load detector in the present application may implement related functions using the film pressure sensor, and the back load pressure may be analog voltage information generated by the film pressure sensor. The application provides and chooses film pressure sensor for use as the core sensor that the back loaded and surveyed, has advantages such as small, sensitivity height, low power dissipation, low price.
The film pressure sensor arranged at the root of the supporting plate is mainly used for detecting the weight loaded above the supporting plate, when the supporting plate is loaded and pressed, a binding face is arranged between the root of the film pressure sensor and the back plate, the film pressure sensor is arranged on the binding face, and the wiring below the binding face is connected with the main control module.
In one embodiment, the motion sensor comprises a first inertial measurement unit arranged inside the exoskeleton thigh skeleton and a second inertial measurement unit arranged inside the exoskeleton shank skeleton; the first inertia measurement unit and the second inertia measurement unit are connected with the main control module.
Specifically, in biomechanics, the posture of a human body segment (three-dimensional angle) and kinematic data (three-dimensional acceleration) are important parameters for gait analysis, and for this reason, the present application proposes to use an IMU (Inertial Measurement Unit) as one of the key components for human motion Measurement.
Wherein, the IMU unit (being first inertia measuring unit) of arranging in the thigh is pre-buried in the skeleton of thigh, and is furnished with power module to accessible bluetooth is connected the communication with master control module.
The IMU unit (namely the second inertia measurement unit) arranged on the lower leg is embedded in the skeleton of the lower leg, is provided with a power supply module and can be communicated with the master control module through Bluetooth.
Further, the present application proposes to employ 2 IMU sensors mounted in the right leg thigh and calf skeleton, respectively, to provide knee acceleration and angular velocity data; specifically, the knee angle can be calculated by first aligning the sensor frames of the thigh and calf using a functional alignment procedure, and then calculating the relative direction using an extended kalman filter. In some embodiments, an ADIS16475 IMU sensor of the Addeno (ADI) semiconductor may be selected for motion sensing of the lower limbs of a human body, with a three-axis gyroscope and a three-axis accelerometer built into the IMU. In one example, the sampling rate of the IMU may be set to 100 Hz.
It should be noted that, in the present application, there is no specific limitation on the setting manner and the setting number of the IMUs, and the setting may be performed according to actual needs in specific implementations.
In one embodiment, the motion sensor further comprises an analog-to-digital converter;
one end of the analog-to-digital converter is connected with the first inertia measuring unit and the second inertia measuring unit respectively, and the other end of the analog-to-digital converter is connected with the master control module through Bluetooth.
Specifically, the motion sensor can realize functions of motion inertia sensing and the like of the wearable internet of things module; in some embodiments, the motion sensor may include an IMU sensor and an analog-to-digital converter. The analog-to-digital converter can convert the analog voltage signal of the IMU into a digital signal and transmit the digital signal to the master control module through Bluetooth for data packaging; in one example, the analog-to-digital converter may be an ADS7844 type analog-to-digital converter from Texas instruments. The IMU sensor in the present application can provide euler angles and quaternions; in some embodiments, the present application proposes that prior to using the IMU to acquire data, a calibration procedure of the IMU may be conducted, based on which the subject (i.e. exoskeleton wearer) remains standing and motionless for 30 seconds prior to performing the activity to determine the orientation of the spatial coordinate system. Once the orientation axis is determined, the knee angle can be calculated on the sagittal plane.
In one embodiment, the main control module may be an MCU; the exoskeleton internet of things module can further comprise a power management module connected with the MCU.
Specifically, the main control module for collecting information of the thin film pressure sensor and the IMU may be implemented by using a Micro Controller Unit (MCU) with low power consumption, for example, a circuit board based on a Microprocessor (MCU). In some embodiments, the circuit board may include a low power high performance 8 bit ATmega16U2-AU microprocessor, capacitors, resistors, batteries, etc. The microprocessor can run at the clock frequency of 8MHz, and the working voltage of all circuits is 3.6V; the present application proposes that the analog voltage information generated by the thin film pressure sensor can be converted to a digital signal using 6 analog-to-digital converter channels of 10-bit resolution. And the output data of the microprocessor adopts RS232 serial port for immediate transmission, so that the method has the characteristics of small transmission error, short delay time and relatively stable result.
Furthermore, to connecting MCU's power management module, can produce through LM78L05 regulator by a 9V lithium cell, and then can carry out electric quantity monitoring etc.. According to the wearable Internet of things system, the low-power-consumption electronic component is adopted, and the power management module is additionally arranged, so that the service life of the wearable Internet of things system is greatly prolonged
In the application, the exoskeleton internet of things module provides the function of internet of things for the exoskeleton, and has high universality and high expandability; the wearable Internet of things module can track the motion data of an exoskeleton wearer, non-contact acquisition of back load information and leg motion information is adopted, and then the main control module can transmit the related motion data to the cloud server; the system can detect the movement operation data such as the carrying weight, the movement state, the movement time, the movement distance, the current position and the like of a wearer, remotely transmit the information to the background server, and obtain the physiological information of the human body movement, the fatigue degree reduction, the reduced metabolic consumption after the exoskeleton is worn and the like through the extraction, analysis and calculation of the data.
In one embodiment, as shown in fig. 3, there is provided an exoskeleton internet of things module, which is exemplified by the application of the module to the exoskeleton in fig. 1, and includes:
a wearable Internet of things module; the wearable Internet of things module comprises a load detector arranged at the root of the exoskeleton supporting plate so as to collect and output back load information; the wearable Internet of things module also comprises a motion sensor arranged on the exoskeleton leg to collect and output leg motion information;
the main control module is arranged on the waist and back of the exoskeleton and is respectively connected with the load detector and the motion sensor; the main control module is also used for connecting a background server so as to transmit the received back load information and the leg movement information to the background server. Further, the load detector may be implemented using a membrane pressure sensor, and the motion sensor may be implemented using an IMU.
In one embodiment, as shown in fig. 3, the exoskeleton internet of things module further includes a Global Positioning System (GPS) module embedded in the main control module; and the GPS module can be used for transmitting the acquired current position information to the background server through the main control module.
Specifically, the master control module is embedded with a GPS module, so that the position information can be detected in real time. Furthermore, the GPS module can be connected with the main control module through a Uart interface.
In one embodiment, as shown in fig. 3, the exoskeleton internet of things module may further comprise a wireless communication module; the main control module is connected with the background server through the wireless communication module.
Particularly, the main control module transmits the acquired film pressure sensor and IMU information to the background server through the wireless communication module so as to realize real-time transmission and display of load data and leg movement data.
In one embodiment, the wireless communication module is an NB-IOT (Narrow Band Internet of Things) unit; the master control module can be connected with the NB-IOT unit through a Uart interface and/or an I2C interface.
Specifically, the wireless communication module can be realized by adopting an NB-IOT unit with low power consumption, and based on an NB-IOT communication mode, the wireless communication module is simple and convenient to use, low in cost and good in universality; the main control module can be connected with the NB-IOT unit through a Uart interface and/or an I2C (Inter-Integrated Circuit) interface.
To further explain the solution of the present application, the following description is made with reference to a specific example, as shown in fig. 4, an IMU collects leg movement information and transmits the information to a master control module through bluetooth; the GPS module can acquire position information and transmit data to the main control module through a Uart interface; the film pressure sensor collects back load pressure information and transmits the data to the main control module through the ADC interface.
The main control module can be realized by adopting a low-power consumption MCU (microprogrammed control Unit), and is communicated with the wireless communication module through a Uart/I2C interface; the wireless communication module can adopt a low-power consumption NB-IOT unit to transmit data to a background server and a user interface. The wireless communication module can be a telecom or mobile NB-IOT unit.
In the above, the application provides an exoskeleton-based internet of things module, which has high universality and high expandability; the exoskeleton internet of things module can collect motion information and load information of a human body in a non-contact manner, and has important significance for analyzing human body fatigue and working strength of a background. Furthermore, the exoskeleton internet of things module adopts low-power-consumption electronic components, and a power management module is added, so that the service life of the wearable internet of things system is greatly prolonged; the NB-IOT communication mode is adopted, so that the method is simple and convenient to use, low in cost and good in universality; the sensor is embedded into the exoskeleton, so that the appearance integrity is good and the concealment is high on the premise of protecting electronic components; the exoskeleton internet of things module can detect the motion state of a human body in a non-contact manner, so that the acceptance of a wearer is high, and the universality is good.
In one embodiment, as shown in fig. 5, a wearable internet of things system is provided, which includes a plurality of exoskeleton internet of things modules as described above; also comprises a base station and a background server
Each exoskeleton internet of things module can be connected with a background server through a corresponding base station.
In one embodiment, the backend server may be a cloud server; the base station may be an NB base station.
Specifically, a signal transmission framework of the wearable internet of things system can adopt a telecommunication internet of things framework or a mobile internet of things framework; the telecom Internet of things system can transmit information to the telecom wing cloud, then the third party cloud accesses the wing cloud, and data can be acquired and stored in the background server. If the server needs to directly access the data, an internal interface needs to be opened on the wing cloud. And the mobile internet of things system can transmit information to a third-party cloud server through the NB base station, and further can directly access data.
It should be noted that the terminal in fig. 5 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server may be implemented by an independent server or a server cluster composed of a plurality of servers.
The system can detect the movement operation data such as the carrying weight, the movement state, the movement time, the movement distance, the current position and the like of a wearer, remotely transmit the information to the background server, and obtain the physiological information of the human body movement, the fatigue degree reduction, the reduced metabolic consumption after the exoskeleton is worn and the like through the extraction, analysis and calculation of the data.
Those skilled in the art will appreciate that the configurations shown in fig. 1-5 are merely block diagrams of some configurations relevant to the present disclosure, and do not constitute a limitation on the devices to which the present disclosure may be applied, and that a particular device may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the utility model. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An ectoskeleton thing networking module, its characterized in that includes:
a wearable Internet of things module; the wearable Internet of things module comprises a load detector arranged at the root of the exoskeleton supporting plate so as to collect and output back load information; the wearable Internet of things module further comprises a motion sensor arranged on the exoskeleton leg to collect and output leg motion information;
the main control module is arranged on the waist and the back of the exoskeleton and is respectively connected with the load detector and the motion sensor; the main control module is also used for connecting a background server so as to transmit the received back load information and the leg movement information to the background server.
2. The exoskeleton internet of things module of claim 1 further comprising a GPS module embedded in the master control module.
3. The exoskeleton internet of things module of claim 1, wherein the load detector comprises a membrane pressure sensor;
the film pressure sensor is arranged on a binding surface between the root of the supporting plate and the exoskeleton back plate; the film pressure sensor is connected with the main control module through an ADC interface.
4. The exoskeleton Internet of things module of claim 1,
the motion sensor comprises a first inertia measuring unit arranged inside the exoskeleton thigh skeleton and a second inertia measuring unit arranged inside the exoskeleton shank skeleton;
the first inertia measurement unit and the second inertia measurement unit are connected with the main control module.
5. The exoskeleton internet of things module of claim 4, wherein the motion sensor further comprises an analog-to-digital converter;
one end of the analog-to-digital converter is connected with the first inertia measuring unit and the second inertia measuring unit respectively, and the other end of the analog-to-digital converter is connected with the master control module through Bluetooth.
6. An exoskeleton internet of things module as claimed in any one of claims 1 to 5 further comprising a wireless communication module; the main control module is connected with the background server through the wireless communication module.
7. The exoskeleton internet of things module of claim 6, wherein the wireless communication module is an NB-IOT unit; the main control module is connected with the NB-IOT unit through a Uart interface and/or an I2C interface.
8. The exoskeleton internet of things module of claim 1, wherein the master control module is an MCU; the exoskeleton Internet of things module further comprises a power management module connected with the MCU.
9. A wearable internet of things system, comprising a plurality of exoskeleton internet of things modules as claimed in any one of claims 1 to 8; the system also comprises a base station and a background server;
each exoskeleton internet of things module is connected with the background server through the corresponding base station.
10. The wearable internet of things system of claim 9, wherein the backend server is a cloud server; the base station is an NB base station.
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| CN116852344A (en) * | 2022-03-28 | 2023-10-10 | 广州视源电子科技股份有限公司 | Method for controlling exoskeleton device, exoskeleton device and storage medium |
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| CN116852344A (en) * | 2022-03-28 | 2023-10-10 | 广州视源电子科技股份有限公司 | Method for controlling exoskeleton device, exoskeleton device and storage medium |
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