CN115202242A - Exoskeleton Internet of things module and wearable Internet of things system - Google Patents

Abstract

The application relates to an exoskeleton internet of things module and a wearable internet of things system. The exoskeleton Internet of things module comprises a wearable Internet of things module, wherein the wearable Internet of things module is used for tracking motion operation data of an exoskeleton wearer; the exercise operation data comprises back load information and leg exercise 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 receives the motion operation data, packages the motion operation data and transmits the packaged motion operation data to the background server; the motion operation data is used for instructing the background server to perform extraction analysis processing. The method and the device can realize seamless tracking detection of the movement operation data of the wearer, remotely transmit the movement operation data to the background server, and obtain the physiological information of human movement, the fatigue degree reduction, the metabolic consumption reduction after the exoskeleton is worn and other information through extraction, analysis and calculation of the data, so that the method and the device have high universality and high expandability.

Description

Exoskeleton IoT module and wearable IoT system

technical field

The present application relates to the technical field of wearable devices, in particular to an exoskeleton IoT module and a wearable IoT system.

Background technique

With the development of modern warfare and the continuous improvement of weapons and equipment, soldiers are carrying more and more weight, which directly affects the combat effectiveness and health of soldiers. In recent years, as a wearable mechanical device with powerful functions, exoskeletons used for physical enhancement have attracted more and more attention from scholars and researchers at home and abroad, becoming a new research hotspot, and gradually applied to the field of military industry.

The Internet of Things is expected to provide more powerful functions for high-tech products such as exoskeleton robots. IoT seamlessly integrates physical objects into information networks in order to provide advanced and intelligent services. The Internet of Things can be defined as "a dynamic global network infrastructure with self-configuring capabilities based on standards and interoperable communication protocols", where physical and virtual "things" have identities, physical attributes, and virtual personalities, and use intelligent interfaces, without integrated into the information network.

During the implementation process, the inventor found that there are at least the following problems in the traditional technology: the current wearable IoT based on exoskeleton devices has problems such as generality and poor scalability.

SUMMARY OF THE INVENTION

Based on this, it is necessary to provide an exoskeleton IoT module and a wearable IoT system that can improve the versatility and scalability to address the above technical problems.

In order to achieve the above purpose, on the one hand, an embodiment of the present application provides an exoskeleton Internet of Things module, including a wearable Internet of Things module and a main control module; the main control module is arranged on the waist and back of the exoskeleton; the wearable Internet of Things module The module is used to track the exercise job data of the exoskeleton wearer; the exercise job data includes back weight information and leg movement information; among which:

The wearable IoT module includes a load-bearing detector located at the root of the exoskeleton pallet, and a motion sensor located at the exoskeleton leg; the load-bearing detector is used to collect and output back weight information, and the motion sensor is used to collect and output Leg movement information;

The main control module is respectively connected to the load detector and the motion sensor; the main control module receives the motion job data, and encapsulates the motion job data and transmits it to the background server; the motion job data is used to instruct the background server to perform extraction, analysis and processing.

In one of the embodiments, the motion work information further includes current location information;

The exoskeleton IoT module also includes a GPS module embedded in the main control module; the GPS module is used to transmit the collected current location information to the background server through the main control module.

In one embodiment, the back weight information includes back weight pressure; the weight detector includes a thin film pressure sensor;

The membrane pressure sensor is installed on the bonding surface between the base of the pallet and the exoskeleton backboard to obtain the back load pressure; the membrane sensor is connected to the main control module through the ADC interface, and transmits the back load pressure to the main control module.

In one embodiment, the leg motion information includes angular velocity data and acceleration data of the knee joint;

The motion sensor includes a first inertial measurement unit arranged inside the exoskeleton thigh frame, and a second inertial measurement unit arranged inside the exoskeleton calf frame; the first inertial measurement unit and the second inertial measurement unit are both connected to the main control module Group.

In one of the embodiments, the motion sensor further includes an analog-to-digital converter;

One end of the analog-to-digital converter is respectively connected to the first inertial measurement unit and the second inertial measurement unit, and the other end is connected to the main control module through Bluetooth.

In one of the embodiments, a wireless communication module is also included; the main control module is connected to 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 to 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 IoT module further includes a power management module connected to the MCU.

A wearable Internet of Things system, including a plurality of exoskeleton Internet of Things modules as above; also including a base station and a background server

Each exoskeleton IoT module is connected to the background server through the corresponding base station.

In one embodiment, the background server is a cloud server; the base station is an NB base station.

A technical scheme in the above-mentioned technical scheme has the following advantages and beneficial effects:

The exoskeleton IoT module of the present application provides IoT functions for the exoskeleton, and has high versatility and high scalability; wherein, the wearable IoT module can be used to track the exercise data of the exoskeleton wearer, and then it can be used in a non-contact way. It collects back weight information and leg movement information, so that the main control module can transmit the exercise job data to the cloud server; this application can realize the wearer's weight, exercise state, exercise time, moving distance, current position and other exercise operations. Data detection and remote transmission of the above information to the backend server, through the extraction, analysis and calculation of the data, information such as human exercise physiological information, fatigue reduction, and metabolic consumption reduction after wearing the exoskeleton can be obtained.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or in the traditional technology, the following briefly introduces the accompanying drawings that are used in the description of the embodiments or the traditional technology. Obviously, the drawings in the following description are only the For some embodiments of the application, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 is an application environment diagram of an exoskeleton IoT module in one embodiment;

2 is a schematic structural diagram of an exoskeleton IoT module in one embodiment;

3 is a schematic structural diagram of an exoskeleton IoT module in another embodiment;

4 is a schematic diagram of a specific structure of an exoskeleton IoT module in one embodiment;

FIG. 5 is a structural block diagram of a wearable IoT system in one embodiment.

Detailed ways

In order to facilitate understanding of the present application, the present application will be described more fully below with reference to the related drawings. Embodiments of the present application are presented in the accompanying drawings. However, the application may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the specification of the application are for the purpose of describing specific embodiments only, and are not intended to limit the application.

It will be understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element.

Spatial relational terms such as "under", "below", "below", "under", "above", "above", etc., in This may be used to describe the relationship of one element or feature to other elements or features shown in the figures. It should be understood that in addition to the orientation shown in the figures, the spatially relative terms encompass different orientations of the device in use and operation. For example, if the device in the figures is turned over, elements or features described as "below" or "beneath" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the exemplary terms "below" and "under" can encompass both an orientation of above and below. In addition, the device may also be otherwise oriented (eg, rotated 90 degrees or at other orientations) and the spatial descriptors used herein interpreted accordingly.

It should be noted that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or connected to the other element through intervening elements. In addition, the "connection" in the following embodiments should be understood as "electrical connection", "communication connection" and the like if there is transmission of electrical signals or data between the objects to be connected.

As used herein, the singular forms "a," "an," and "the/the" can include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the terms "comprising/comprising" or "having" etc. designate 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 Possibilities of 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 IoT in exoskeletons can improve the intelligence and functional boundaries of exoskeleton systems. The IoT system uses the exoskeleton as the medium and is worn on the human body to become a wearable IoT system. Wearable IoT in a passive heavy-duty exoskeleton can seamlessly track the wearer's personalized exercise job information - weight, exercise status, exercise time, travel distance, current location.

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

The exoskeleton IoT module provided in this application can be applied in the application environment shown in FIG. 1 . As shown in Figure 1, the structure of a passive heavy-duty exoskeleton with IoT functions, wherein the exoskeleton can include a backboard, a back support bar, a support plate, a lumbar support, a hip joint connection, a thigh support bar, and an adjustment card Buckles, thigh guards, knee joints, calf guards, calf braces, ankle joints, and leggings.

Further, after the human body wears the exoskeleton, place the heavy object on the back support plate, and part of the weight of the heavy object will pass through the support plate to be transmitted to the waist support, and then go through the hip joint connection, thigh skeleton, knee joint connection, and calf skeleton. It is connected with the ankle joint and transmitted to the ground, so as to reduce the load on the human body.

In one embodiment, as shown in FIG. 2 , an exoskeleton IoT module is provided, and the module is applied to the exoskeleton in FIG. 1 as an example for illustration, including a wearable IoT module 110 and a main control The module 120; the main control module 120 is arranged on the lower back of the exoskeleton; the wearable IoT module 110 is used to track the exercise operation data of the exoskeleton wearer; the exercise operation data includes back weight information and leg movement information; wherein:

The wearable IoT module 110 includes a load-bearing detector 112 arranged at the root of the exoskeleton support plate, and a motion sensor 114 arranged at the exoskeleton leg; The detector 114 is used to collect and output leg motion information;

The main control module 120 is respectively connected to the load detector 112 and the motion sensor 114; the main control module 120 receives the motion work data, and encapsulates the motion work data and transmits it to the backend server; the motion work data is used to instruct the backend server to extract Analytical processing.

Specifically, the exoskeleton IoT module of the present application may include a wearable IoT module 110 for tracking the exercise operation data of the exoskeleton wearer, and a main control module 120 placed on the lower back of the exoskeleton; while the present application The exercise job data in the data can include back weight information and leg movement information, for example, the wearer's weight, exercise state, exercise time, moving distance, and current position.

That is, based on this application, under the premise of the inherent function of the exoskeleton to enhance the human body's weight-bearing capacity and reduce the human body's metabolic consumption, the wearable Internet of Things module can realize the non-contact load on the wearer's weight, exercise state, exercise time, moving distance, current state. The detection of information such as location can then seamlessly track the wearer's personalized sports operation information.

Wherein, the wearable IoT module 110 may include a load detector 112 placed at the root of the pallet and a motion sensor 114 placed at the leg of the exoskeleton. Further, the weight detector 112 can be used to collect and output back weight information, and the motion sensor 114 can be used to collect and output leg motion information. That is, the present application can collect back weight information and leg movement information in a non-contact manner.

In this application, relevant sensors (load detectors, motion sensors, etc.) are pre-buried in the exoskeleton. Under the premise of protecting electronic components, the appearance is good and the concealment is high; based on the wearable IoT module, the The application can use non-contact detection of human motion state, and the wearer has high acceptance and good versatility. Based on the wearable IoT module proposed in this application, the motion information and load-bearing information of the human body can be collected in a non-contact manner, which is of great significance for the backend server to perform human fatigue analysis and work intensity analysis.

Among them, the sensors installed in the exoskeleton can collect a large amount of data about human movement, which can be further aggregated, fused, processed, analyzed and mined in order to extract useful physiological information to provide complex and intelligent services. Based on the exoskeleton IoT module of the present application, the exoskeleton device can interact autonomously, so as to realize a simpler and more efficient combination of human and machine, thereby realizing more abundant functions.

In some embodiments, the back weight bearing information may include back weight bearing pressure; the weight bearing detector 112 may include a thin film pressure sensor;

The membrane pressure sensor is installed on the bonding surface between the base of the pallet and the exoskeleton backboard to obtain the back load pressure; the membrane sensor is connected to the main control module through the ADC (Analog-to-Digital Converter) interface , and transmit the weight-bearing pressure on the back to the main control module.

Specifically, the back weight information may include back weight pressure, and the weight detector in the present application may use a thin film pressure sensor to achieve related functions, and the back weight pressure may be analog voltage information generated by the thin film pressure sensor. This application proposes to select a thin-film pressure sensor as the core sensor for back load detection, which has the advantages of small size, high sensitivity, low power consumption, and low price.

Among them, the film pressure sensor placed at the root of the pallet is mainly used to detect the weight of the load above the pallet. When the pallet is under pressure, there is a bonding surface between the root and the backboard, and the film pressure sensor is placed on the bonding surface. , and connect the wires under the bonding surface to the main control module.

In one embodiment, the leg motion information includes angular velocity data and acceleration data of the knee joint;

The motion sensor includes a first inertial measurement unit arranged inside the exoskeleton thigh frame, and a second inertial measurement unit arranged inside the exoskeleton calf frame; the first inertial measurement unit and the second inertial measurement unit are both connected to the main control module Group.

Specifically, in biomechanics, human body segment pose (three-dimensional angle) and kinematic data (three-dimensional acceleration) are important parameters for gait analysis. For this, this application proposes to use IMU (Inertial Measurement Unit, inertial measurement unit) As one of the key components of human motion measurement.

Among them, the IMU unit (ie, the first inertial measurement unit) placed on the thigh is pre-buried in the skeleton of the thigh, and is equipped with a power supply module, which can be connected and communicated with the main control module through Bluetooth.

The IMU unit (ie, the second inertial measurement unit) placed on the calf is pre-buried in the skeleton of the calf, and is equipped with a power supply module, which can be connected and communicated with the main control module through Bluetooth.

Further, the present application proposes that two IMU sensors installed in the thigh and calf skeleton of the right leg can be used to provide acceleration and angular velocity data of the knee joint; specifically, the thigh and calf can be first aligned by using a functional alignment program. The sensor frame of , then uses an extended Kalman filter to calculate the relative orientation and thus the knee angle. In some embodiments, Analog Devices' ADIS16475 IMU sensor can be used for motion sensing of human lower limbs. The IMU has a built-in three-axis gyroscope and a three-axis accelerometer. In one example, the sampling rate of the IMU may be set to 100Hz.

It should be noted that the present application does not have specific restrictions on the setting method and the setting quantity of the IMU, and may be set according to actual needs in the specific implementation.

In one of the embodiments, the motion sensor further includes an analog-to-digital converter;

One end of the analog-to-digital converter is respectively connected to the first inertial measurement unit and the second inertial measurement unit, and the other end is connected to the main control module through Bluetooth.

Specifically, the motion sensor in this application can implement functions such as motion inertial sensing of a wearable IoT module; in some embodiments, the motion sensor can 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 it to the main control module through Bluetooth for data encapsulation; in an example, the analog-to-digital converter can choose the ADS7844 analog-to-digital converter from Texas Instruments. The IMU sensors in the present application may provide Euler angles and quaternions; in some embodiments, the present application proposes that before using the IMU to acquire data, a calibration procedure of the IMU may be performed, based on which the subject (ie the external Skeleton wearer) remained standing and still for 30 seconds before performing the activity to determine the orientation of the spatial coordinate system. Once the orientation axis is determined, the knee angle can be calculated in the sagittal plane.

In one embodiment, the main control module may be an MCU; the exoskeleton IoT module may further include a power management module connected to the MCU.

Specifically, the main control module used for the information collection of the thin film pressure sensor and the IMU can be implemented by a low-power MCU (Microcontroller Unit), such as 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, and batteries, among others. Among them, the microprocessor can run at a clock frequency of 8MHz, and the operating voltage of all circuits is 3.6V; this application proposes that six analog-to-digital converter channels with 10-bit resolution can be used to convert the analog voltage information generated by the film pressure sensor into Digital signal. And the output data of the microprocessor adopts the RS232 serial port for real-time transmission, so that the present application has the characteristics of small transmission error, short delay time and relatively stable results.

Further, for the power management module connected to the MCU, it can be generated by a 9V lithium battery through the LM78L05 regulator, and then power monitoring can be performed. The application adopts low-power electronic components and adds a power management module, which greatly increases the use time of the wearable IoT system

As above, the exoskeleton IoT module of the present application provides IoT functions for the exoskeleton, and has high versatility and high scalability; wherein, the wearable IoT module can be used to track the exercise operation data of the exoskeleton wearer, and thus can be Contact-type collection of back weight information and leg movement information, so that the main control module can transmit exercise job data to the cloud server; this application can realize the wearer's weight, exercise status, exercise time, moving distance, current position, etc. Detecting exercise job data, and remotely transmitting the above information to the backend server. Through the extraction, analysis and calculation of the data, information such as human exercise physiology information, fatigue reduction, and metabolic consumption reduction after wearing the exoskeleton can be obtained.

In one embodiment, as shown in FIG. 3 , an exoskeleton IoT module is provided, and the module is applied to the exoskeleton in FIG. 1 as an example for illustration, including a wearable IoT module and a main control module. The main control module is located on the lower back of the exoskeleton; the wearable IoT module is used to track the exercise operation data of the exoskeleton wearer; the exercise operation data includes back weight information and leg movement information; among which:

The wearable IoT module includes a load-bearing detector located at the root of the exoskeleton pallet, and a motion sensor located at the exoskeleton leg; the load-bearing detector is used to collect and output back weight information, and the motion sensor is used to collect and output Leg movement information;

The main control module is respectively connected to the load detector and the motion sensor; the main control module receives the motion job data, and encapsulates the motion job data and transmits it to the background server; the motion job data is used to instruct the background server to perform extraction, analysis and processing.

Further, the load detector is realized by a thin film pressure sensor, and the motion sensor is realized by an IMU.

In one of the embodiments, the exercise job information may further include current location information;

As shown in Figure 3, the exoskeleton IoT module also includes a GPS (Global Positioning System, global positioning system) module embedded in the main control module; the GPS module is used to transmit the collected current location information to the main control module. backend server.

Specifically, a GPS module is embedded in the main control module, which can detect location information in real time. Further, the GPS module can be connected to the main control module through the Uart interface.

In one embodiment, as shown in FIG. 3 , the exoskeleton IoT module may further include a wireless communication module; the main control module is connected to the background server through the wireless communication module.

Specifically, the main control module transmits the collected film pressure sensor and IMU information to the background server through the wireless communication module, so as to realize the real-time transmission and display of the weight data and leg movement data.

In one embodiment, the wireless communication module is an NB-IOT (Narrow Band Internet of Things) unit; the main control module can be connected to the NB-IOT unit through a Uart interface and/or an I2C interface.

Specifically, the wireless communication module in the present application can be implemented by a low-power NB-IOT unit. Based on the NB-IOT communication mode, the present application is easy to use, low in cost, and good in versatility; among them, the main control module The NB-IOT unit can be connected through a Uart interface and/or an I2C (Inter-Integrated Circuit) interface.

In order to further illustrate the solution of the present application, the following will be explained with a specific example. As shown in Figure 4, the IMU collects leg motion information, and transmits the information to the main control module through Bluetooth; the GPS module can collect location information, and through the The Uart interface transmits data to the main control module; the film pressure sensor collects the back load pressure information, and transmits the data to the main control module through the ADC interface.

The main control module in this application can be implemented by a low-power MCU, and communicate with the wireless communication module through the Uart/I2C interface; and the wireless communication module can use a low-power NB-IOT unit, and then transmit data to Backend server and user interface. Among them, the wireless communication module can choose telecommunication or mobile NB-IOT unit.

Above, this application proposes an exoskeleton-based IoT module, which has high versatility and high scalability; the exoskeleton IoT module can collect the motion information and weight information of the human body in a non-contact manner, and perform operations on the background. Human fatigue analysis and work intensity analysis are of great significance. Further, the exoskeleton IoT module adopts low-power electronic components, and adds a power management module, which greatly increases the use time of the wearable IoT system; this application adopts the NB-IOT communication mode, which is easy to use and low in cost. , good versatility; the sensor is pre-buried in the exoskeleton, under the premise of protecting electronic components, the appearance is good, and the concealment is high; the exoskeleton IoT module can use non-contact detection of human movement status, the wearer High acceptance and good versatility.

In one embodiment, as shown in FIG. 5 , a wearable IoT system is provided, which includes a plurality of the above-mentioned exoskeleton IoT modules; and also includes a base station and a background server

Each exoskeleton IoT module can connect to the background server through the corresponding base station.

In one of the embodiments, the background server may be a cloud server; the base station may be an NB base station.

Specifically, the signal transmission framework of the wearable IoT system of the present application can adopt the telecom IoT framework or the mobile IoT framework; wherein, the telecom IoT standard can transmit information to the telecom Tianyi cloud, and then access it through a third-party cloud E-surfing cloud, and then can obtain data and store it to the backend server. If the server needs to directly access the data, it needs to open the internal interface on Tianyi Cloud. The mobile Internet of Things system can transmit information to a third-party cloud server through the NB base station, and then directly access the data.

It should be noted that the terminal in FIG. 5 can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, and the server can be an independent server or a server cluster composed of multiple servers. to fulfill.

The application can realize the detection of the wearer's exercise operation data such as weight, exercise state, exercise time, moving distance, current position, etc., and remotely transmit the above information to the background server. Through the extraction, analysis and calculation of the data, the human body can be obtained. Information on exercise physiology, reduction in fatigue, and reduced metabolic consumption after wearing the exoskeleton.

Those skilled in the art can understand that the structures shown in FIG. 1 to FIG. 5 are only block diagrams of partial structures related to the solution of the present application, and do not constitute a limitation on the equipment to which the solution of the present application is applied. More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

Those of ordinary skill in the art can understand that all or part of the processes involved in the methods in the above embodiments can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer. In reading the storage medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any reference to memory, storage, database or other media used in the various embodiments provided in this application may include at least one of non-volatile and volatile memory. The non-volatile memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, and the like. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, the RAM may be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM).

In the description of this specification, reference to the description of the terms "some embodiments," "other embodiments," "ideal embodiments," etc. means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in the present specification. in at least one embodiment or example of the application. In this specification, schematic descriptions of the above terms do not necessarily refer to the same embodiment or example.

The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.

The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (10)

1. An exoskeleton internet of things module is characterized by comprising a wearable internet of things module and a main control module; the main control module is arranged on the waist and back of the exoskeleton; the wearable Internet of things module is used for tracking the movement operation data of the exoskeleton wearer; the exercise operation data comprises back load information and leg exercise information; wherein:

the wearable Internet of things module comprises a load detector arranged at the root of the exoskeleton supporting plate and a motion sensor arranged at the exoskeleton leg; the load detector is used for collecting and outputting the back load information, and the motion sensor is used for collecting and outputting the leg motion information;

the main control module is respectively connected with the load detector and the motion sensor; the main control module receives the motion operation data, packages the motion operation data and transmits the packaged motion operation data to the background server; and the motion operation data is used for indicating the background server to perform extraction analysis processing.

2. The exoskeleton internet of things module of claim 1, wherein the athletic performance information further includes current location information;

the exoskeleton Internet of things module also comprises a GPS module embedded into the main control module; the GPS module is used for transmitting the collected current position information to the background server through the main control module.

3. The exoskeleton internet of things module of claim 1 wherein the back weight information includes back weight pressure; the load detector comprises a film 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 the back load pressure; the film sensor is connected with the main control module through an ADC interface and transmits the back load pressure to the main control module.

4. The exoskeleton internet of things module of claim 1 wherein the leg movement information includes angular velocity data and acceleration data of a knee joint;

the motion sensor comprises a first inertia measurement unit arranged inside the exoskeleton thigh framework and a second inertia measurement unit arranged inside the exoskeleton shank framework; 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 master 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; and 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.

Images