Digital monitoring platform for monitoring helmet wearing of power grid operator

Abstract

The invention discloses a digital monitoring platform for monitoring helmet wearing of a power grid operator, the digital monitoring platform comprises a wearing end, a detection end and a data processing platform, the wearing end and the detection end are both in butt joint with the data processing platform, and the invention relates to the technical field of power grid safety construction. According to the digital monitoring platform for monitoring the helmet wearing of the power grid operator, the identifier setting module is additionally arranged at the face recognition position, dynamic identifiers are displayed, and the camera module is arranged in cooperation with the helmet, so that when the face of a wearer is recognized, the dynamic identifiers are obtained through the camera module, and the helmet wearing of the wearer is detected; under the arrangement of the heart rate sensing module, when collected heart rate information changes, it is judged that a wearer correctly wears the helmet, and the position of the helmet is judged by comparing the position information of the GPS positioning module and the position information of the face recognition module; therefore, automatic helmet safety wearing detection of power grid operators, namely wearers, is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of safe power grid construction, and in particular to a digital monitoring platform for monitoring the helmet wearing of power grid workers. Background Art

[0002] During power grid construction work, wearing a helmet safely can effectively improve the safety of power grid workers during the construction process. Usually, when entering the construction site, a check will be carried out to see if the helmet is worn. After entering the workplace, the helmet may be taken off during work due to various reasons. It is impossible for management personnel to detect at any time whether the helmet has been taken off during the production process and correct it in time, especially when there are many people, it is more difficult to detect.

[0003] When existing power grid workers enter the construction site, a facial recognition device is usually installed at the entrance of the construction site as an access switch to prevent non-power grid workers from entering the construction site. Whether the power grid workers are wearing helmets and whether they are wearing them safely and correctly is often determined by manual observation. This method can only detect whether the power grid workers are wearing helmets, but lacks effective detection of whether the power grid workers are wearing helmets safely and correctly. Moreover, when the power grid workers enter the construction site and their helmets are removed, it is impossible to correct the situation in a timely and effective manner. For this reason, a digital monitoring platform for monitoring the wearing of helmets by power grid workers is proposed, which realizes automatic detection of whether power grid workers are wearing helmets safely and correctly. At the same time, it can also perform real-time helmet wearing monitoring as the power grid workers move in the construction area, and has the effect of timely correction to ensure the safety of power grid workers during the construction process. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In response to the shortcomings of the existing technology, the present invention provides a digital monitoring platform for monitoring the wearing of helmets by power grid workers. It solves the problem that when using manual observation to judge whether power grid workers are wearing helmets, it is impossible to effectively determine whether power grid workers have worn helmets safely and correctly, and when power grid workers enter the construction site and remove their helmets, it is impossible to correct the problem in a timely and effective manner.

[0006] (2) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a digital monitoring platform for monitoring the wearing of helmets by power grid workers, including a wearing end, a detection end and a data processing platform, the wearing end and the detection end are both connected to the data processing platform, the wearing end is used to obtain the heart rate, position and front-end image information of the helmet wearer, the detection end is used to perform facial recognition on the wearer and set a dynamic identification, the data processing platform includes a tracking monitoring unit, a data storage unit and a wearing monitoring unit, the data storage unit is respectively connected to the tracking monitoring unit and the wearing monitoring unit, the data storage unit is used to store power grid construction work order information, and the pre-entered facial information of the power grid construction personnel.

[0008] The present invention is further configured as follows: the wearable end includes a heart rate sensing module, a GPS positioning module, a camera module, a voice interaction module and a first wireless transceiver module, and the heart rate sensing module, GPS positioning module, camera module and voice interaction module are all connected to the first wireless transceiver module.

[0009] The present invention is further configured as follows: the heart rate sensor module is integrated into the helmet to detect the wearer's heart rate;

[0010] The GPS positioning module is integrated into the helmet and is used to locate the helmet;

[0011] The camera module is integrated into the front of the helmet and is used to capture the front-end image of the helmet wearer's face.

[0012] The voice interaction module is integrated into the helmet and is used for the wearer to perform voice interaction with the data processing platform;

[0013] The first wireless transceiver module serves as a communication channel with the data processing platform, and is used to transmit heart rate detection information, positioning information, image information and voice interaction information to the data processing platform, and receive voice information sent by the data processing platform.

[0014] The present invention is further configured as follows: the detection end includes a face recognition module, a second wireless transceiver module and an identification setting module, and the face recognition module and the identification setting module are both connected to the second wireless transceiver module.

[0015] The present invention is further configured as follows: the face recognition module is used to perform face recognition on the wearer;

[0016] The identifier setting module is a dynamic identifier added at the installation location of the face recognition module, and is used to automatically switch the dynamic identifier when the face recognition module completes face recognition;

[0017] The second wireless transceiver module serves as a communication channel with the data processing platform, and is used to transmit the collected facial recognition information and the dynamic identification information corresponding to the time of facial recognition information collection to the data processing platform, and identify the wearer's identity after comparing it with the pre-recorded facial information.

[0018] The present invention is further configured as follows: the face recognition module is used to perform face recognition on the wearer;

[0019] The identifier setting module is a dynamic identifier added at the installation location of the face recognition module, and is used to automatically switch the dynamic identifier when the face recognition module completes face recognition;

[0020] The second wireless transceiver module serves as a communication channel with the data processing platform, and is used to transmit the collected facial recognition information and the dynamic identification information corresponding to the time of facial recognition information collection to the data processing platform, and identify the wearer's identity after comparing it with the pre-recorded facial information.

[0021] The present invention is further configured such that: the positioning comparison module is used to obtain the location information of the installation location of the face recognition module, and after completing the face recognition, obtain the location information collected by the GPS positioning module in the helmet corresponding to the current wearer, and compare the two location information;

[0022] The identification comparison module is used to obtain the front-end image captured by the camera module in the current helmet, compare the dynamic identification information corresponding to the time of face recognition information acquisition with the front-end image, and observe whether the dynamic identification information is consistent;

[0023] The heart rate analysis module is used to receive the heart rate information collected by the heart rate sensor module and analyze whether the heart rate information has changed;

[0024] The result verification module is used to issue a certification that the helmet is safely worn by the current wearer when the comparison results of the two position information are consistent, the dynamic identification information is consistent, and the heart rate information changes.

[0025] The present invention is further configured as follows: the tracking and monitoring unit includes a work order analysis module, a trajectory tracking module, a heart rate detection module and a safety alarm module; the work order analysis module is connected to the trajectory tracking module, the trajectory tracking module is connected to the heart rate detection module, and the heart rate detection module is connected to the safety alarm module.

[0026] The present invention is further configured as follows: the work order analysis module is used to plan the activity area of ​​the wearer according to the construction work order information after identifying the wearer's identity information;

[0027] The trajectory tracking module is used to simulate the wearer's movement trajectory in real time based on the position information collected by the GPS positioning module in the helmet worn by the wearer;

[0028] The heart rate detection module is used to monitor the wearer's heart rate in real time and issue an alarm instruction when the real-time heart rate exceeds or falls below the normal heart rate threshold;

[0029] The safety alarm module is used to receive an alarm instruction and send an alarm to the voice interaction module through the first wireless transceiver module to prompt the wearer to take a rest.

[0030] The present invention also discloses a method for using a digital monitoring platform for monitoring the helmet wearing of power grid workers, which specifically includes the following steps:

[0031] S1. Storing the power grid construction work order information and the pre-recorded facial information of the power grid construction personnel in a data storage unit;

[0032] S2. Before construction, the power grid construction personnel wear a helmet as the wearer to the face recognition area, and add a dynamic identification at the installation area of ​​the face recognition module. The face recognition module collects the wearer's facial information, and the collected facial information is sent to the data processing platform through the second wireless transceiver module. After comparing the collected information with the pre-recorded facial information in S1, the current wearer's identity is identified. During the process, the GPS positioning module in the helmet locates the helmet and sends the location information to S3. At the same time, the camera module in the helmet obtains the front-end image of the wearer's face facing the direction. The front-end image contains dynamic identification information and is transmitted to S3.

[0033] S3. Obtain the location information of the installation location of the face recognition module, obtain the location information of the current wearer corresponding to the location information collected by the GPS positioning module in the helmet through the positioning comparison module, compare the two location information, obtain the front-end image through the identification comparison module, compare the dynamic identification information corresponding to the time when the face recognition information was collected with the front-end image, observe whether the dynamic identification information is consistent, and simultaneously analyze whether the heart rate information collected by the helmet's heart rate sensor module has changed through the heart rate analysis module. When the result verification module determines that the comparison results of the two location information are consistent, the dynamic identification information is consistent, and the heart rate information has changed, it issues a certification that the helmet is safely worn by the current wearer;

[0034] S4. After the face recognition module completes face recognition, the identification setting module automatically switches the dynamic identification;

[0035] S5. After completing the authentication of S3, the wearer enters the working area. During the process, after the wearer's identity information is identified by the work order analysis module, the wearer's activity area is planned according to the construction work order information. At the same time, the trajectory tracking module is used to simulate the wearer's movement trajectory in real time according to the location information collected by the GPS positioning module in the wearer's helmet. During working hours, the heart rate detection module monitors the wearer's heart rate in real time. When the real-time heart rate exceeds or falls below the normal heart rate threshold, an alarm command is issued. After receiving the alarm command, the safety alarm module sends an alarm to the voice interaction module through the first wireless transceiver module to prompt the wearer to take a rest.

[0036] (3) Beneficial effects

[0037] The present invention provides a digital monitoring platform for monitoring the helmet wearing of power grid workers. It has the following beneficial effects:

[0038] (1) The present invention displays a dynamic logo by adding an identification setting module to the face recognition position, and cooperates with the setting of the camera module on the helmet. When the wearer's face is recognized, the camera module is used to obtain the dynamic logo, and the wearer's wearing of the helmet is detected. Under the setting of the heart rate sensor module, when the heart rate information collected by it changes, it is judged that the wearer has completed the correct wearing of the helmet, and the location of the helmet is judged by comparing the location information of the GPS positioning module and the face recognition module, thereby achieving automatic helmet safety wearing detection for power grid workers, i.e., wearers.

[0039] (2) The present invention can realize real-time monitoring of the helmet wearing status of power grid workers in the construction area by setting up a GPS positioning module, a heart rate sensor module and a camera module, by comparing the changes in positioning information and heart rate information. Under the setting of the voice interaction module, when the power grid workers fail to wear helmets effectively, timely correction information is issued to achieve a warning effect.

[0040] (3) The present invention uses the heart rate sensing module to monitor the power grid workers in real time and simulate the movement trajectory of the power grid workers. When the heart rate detection module detects that the real-time heart rate is too low or too fast, the safety alarm module can send a voice warning to the voice interaction module to remind the power grid workers to take a rest in time to avoid the safety hazards caused by fatigue of the power grid workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a system principle block diagram of the present invention;

[0042] Figure 2 This is a block diagram of the system principle of the wearable terminal of the present invention;

[0043] Figure 3This is a system principle block diagram of the detection end of the present invention;

[0044] Figure 4 This is a system principle block diagram of the tracking and monitoring unit of the present invention;

[0045] Figure 5 This is a system principle block diagram of the wearable monitoring unit of the present invention.

[0046] In the figure, 1. Wearing end; 2. Detection end; 3. Data processing platform; 4. Tracking monitoring unit; 5. Data storage unit; 6. Wearing monitoring unit; 7. Heart rate sensor module; 8. GPS positioning module; 9. Camera module; 10. Voice interaction module; 11. First wireless transceiver module; 12. Face recognition module; 13. Second wireless transceiver module; 14. Identification setting module; 15. Positioning comparison module; 16. Identification comparison module; 17. Heart rate analysis module; 18. Result verification module; 19. Work order analysis module; 20. Trajectory tracking module; 21. Heart rate detection module; 22. Safety alarm module. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0048] See also Figure 1-5 , the embodiment of the present invention provides the following two technical solutions:

[0049] Example 1

[0050] A digital monitoring platform for monitoring the wearing of helmets by power grid workers includes a wearing terminal 1, a detection terminal 2 and a data processing platform 3. Both the wearing terminal 1 and the detection terminal 2 are connected to the data processing platform 3.

[0051] As a preferred solution, in order to facilitate the automated detection of the helmet wearing status of power grid workers, the wearing terminal 1 is used to obtain the heart rate, position and front-end image information of the helmet wearer. The wearing terminal 1 includes a heart rate sensor module 7, a GPS positioning module 8, a camera module 9, a voice interaction module 10 and a first wireless transceiver module 11. The heart rate sensor module 7 is integrated into the helmet to detect the wearer's heart rate;

[0052] The GPS positioning module 8 is integrated into the helmet and is used to locate the helmet;

[0053] The camera module 9 is integrated into the front of the helmet and is used to capture the front-end image of the helmet wearer's face.

[0054] The voice interaction module 10 is integrated into the helmet and is used for the wearer to perform voice interaction with the data processing platform 3;

[0055] The heart rate sensor module 7, GPS positioning module 8, camera module 9 and voice interaction module 10 are all connected to the first wireless transceiver module 11. The first wireless transceiver module 11 serves as a communication channel with the data processing platform 3, and is used to transmit heart rate detection information, positioning information, image information and voice interaction information to the data processing platform 3, and receive voice information sent by the data processing platform 3.

[0056] As a preferred solution, in order to realize the automatic detection of the helmet wearing status of power grid workers, the detection terminal 2 is used to perform facial recognition on the wearer and set a dynamic identification. The detection terminal 2 includes a facial recognition module 12, a second wireless transceiver module 13 and an identification setting module 14. The facial recognition module 12 is used to perform facial recognition on the wearer;

[0057] The identification setting module 14 is a dynamic identification added at the installation location of the face recognition module 12, and is used to automatically switch the dynamic identification when the face recognition module 12 completes face recognition;

[0058] The face recognition module 12 and the identification setting module 14 are both connected to the second wireless transceiver module 13. The second wireless transceiver module 13 serves as a communication channel with the data processing platform 3, and is used to transmit the collected face recognition information and the dynamic identification information corresponding to the time of face recognition information collection to the data processing platform 3. After comparing with the pre-recorded face information, the wearer's identity is identified.

[0059] As a preferred solution, the data processing platform 3 consists of a data storage unit 5 and a wearing monitoring unit 6.

[0060] Among them, the data storage unit 5 is connected to the wearable monitoring unit 6, and the data storage unit 5 is used to store power grid construction work order information and pre-entered facial information of power grid construction personnel.

[0061] As a preferred solution, the wearing monitoring unit 6 includes a positioning comparison module 15, an identification comparison module 16, a heart rate analysis module 17 and a result verification module 18. The positioning comparison module 15 is used to obtain the location information of the installation location of the face recognition module 12, and after completing face recognition, obtain the location information collected by the GPS positioning module 8 in the helmet corresponding to the current wearer, and compare the two location information;

[0062] The identification comparison module 16 is used to obtain the front-end image captured by the camera module 9 in the current helmet, compare the dynamic identification information corresponding to the face recognition information collection time with the front-end image, and observe whether the dynamic identification information is consistent;

[0063] The heart rate analysis module 17 is used to receive the heart rate information collected by the heart rate sensor module 7 and analyze whether the heart rate information has changed;

[0064] The positioning comparison module 15, the identification comparison module 16 and the heart rate analysis module 17 are all connected to the result verification module 18. The result verification module 18 is used to issue a certification that the helmet is safely worn on the current wearer when the two position information comparison results are consistent, the dynamic identification information is consistent, and the heart rate information changes. On the contrary, when any of the two position information comparison results are inconsistent, the dynamic identification information is inconsistent, and the heart rate information has not changed, it is judged that the current wearer has not passed the verification notification.

[0065] In this embodiment, automatic detection of whether power grid personnel are wearing helmets correctly and effectively can be achieved.

[0066] Example 2

[0067] This embodiment is an improvement of the previous embodiment. It is a digital monitoring platform for monitoring the wearing of helmets by power grid workers. It also includes a tracking and monitoring unit 4. The data storage unit 5 is connected to the tracking and monitoring unit 4. Specifically, the tracking and monitoring unit 4 includes a work order analysis module 19, a trajectory tracking module 20, a heart rate detection module 21, and a safety alarm module 22. The work order analysis module 19 is used to identify the wearer's identity information and then plan the wearer's activity area based on the construction work order information.

[0068] The work order analysis module 19 is connected to the trajectory tracking module 20. The trajectory tracking module 20 is used to simulate the wearer's movement trajectory in real time based on the position information collected by the GPS positioning module 8 in the helmet worn by the wearer;

[0069] The trajectory tracking module 20 is connected to the heart rate detection module 21. The heart rate detection module 21 is used to monitor the wearer's heart rate in real time and issue an alarm instruction when the real-time heart rate exceeds or falls below the normal heart rate threshold;

[0070] The heart rate detection module 21 is connected to the safety alarm module 22. The safety alarm module 22 is used to receive the alarm instruction and send an alarm to the voice interaction module 10 through the first wireless transceiver module 11 to prompt the wearer to take a rest.

[0071] The advantage of the second embodiment over the first embodiment is that it can realize real-time monitoring of the movement trajectory of the power grid operators and avoid fatigue of the power grid operators by means of heart rate detection.

Claims

1. A digital monitoring platform for monitoring the wearing of helmets by power grid workers, comprising a wearing terminal (1), a detection terminal (2) and a data processing platform (3), wherein both the wearing terminal (1) and the detection terminal (2) are connected to the data processing platform (3), and characterized in that: The wearing end (1) is used to obtain the heart rate, position and front-end image information of the helmet wearer, the detection end (2) is used to perform facial recognition on the wearer and set a dynamic identification, the data processing platform (3) includes a tracking monitoring unit (4), a data storage unit (5) and a wearing monitoring unit (6), the data storage unit (5) is respectively connected to the tracking monitoring unit (4) and the wearing monitoring unit (6), and the data storage unit (5) is used to store power grid construction work order information and pre-entered facial information of power grid construction personnel.

2. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 1, characterized in that: The wearing end (1) comprises a heart rate sensor module (7), a GPS positioning module (8), a camera module (9), a voice interaction module (10) and a first wireless transceiver module (11); the heart rate sensor module (7), the GPS positioning module (8), the camera module (9) and the voice interaction module (10) are all connected to the first wireless transceiver module (11).

3. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 2, characterized in that: The heart rate sensor module (7) is integrated into the helmet and is used to detect the wearer's heart rate; The GPS positioning module (8) is integrated into the helmet and is used to locate the helmet; The camera module (9) is integrated with the front of the helmet and is used to obtain a front-end image of the direction in which the face of the helmet wearer is facing. The voice interaction module (10) is integrated into the helmet and is used for the wearer to perform voice interaction with the data processing platform (3); The first wireless transceiver module (11) serves as a communication channel with the data processing platform (3), and is used to transmit heart rate detection information, positioning information, image information and voice interaction information to the data processing platform (3), and to receive voice information sent by the data processing platform (3).

4. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 3, characterized in that: The detection end (2) comprises a face recognition module (12), a second wireless transceiver module (13) and an identification setting module (14); the face recognition module (12) and the identification setting module (14) are both connected to the second wireless transceiver module (13).

5. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 4, characterized in that: The face recognition module (12) is used to perform face recognition on the wearer; The identification setting module (14) is a dynamic identification added at the installation location of the face recognition module (12), and is used to automatically switch the dynamic identification when the face recognition module (12) completes face recognition; The second wireless transceiver module (13) serves as a communication channel with the data processing platform (3), and is used to transmit the collected facial recognition information and dynamic identification information corresponding to the time when the facial recognition information was collected to the data processing platform (3), and identify the wearer's identity after comparing it with the pre-recorded facial information.

6. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 5, characterized in that: The wearing monitoring unit (6) comprises a positioning comparison module (15), an identification comparison module (16), a heart rate analysis module (17) and a result verification module (18); the positioning comparison module (15), the identification comparison module (16) and the heart rate analysis module (17) are all connected to the result verification module (18).

7. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 6, characterized in that: The positioning comparison module (15) is used to obtain the location information of the installation location of the face recognition module (12), and after completing the face recognition, obtain the location information collected by the GPS positioning module (8) in the helmet corresponding to the current wearer, and compare the two location information; The identification comparison module (16) is used to obtain the front-end image collected by the camera module (9) in the current helmet, compare the dynamic identification information corresponding to the face recognition information collection time with the front-end image, and observe whether the dynamic identification information is consistent; The heart rate analysis module (17) is used to receive the heart rate information collected by the heart rate sensing module (7) and analyze whether the heart rate information has changed; The result verification module (18) is used to issue a certification that the helmet is safely worn by the current wearer when the comparison results of the two position information are consistent, the dynamic identification information is consistent, and the heart rate information changes.

8. The digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 7, characterized in that: The tracking monitoring unit (4) comprises a work order analysis module (19), a trajectory tracking module (20), a heart rate detection module (21) and a safety alarm module (22); the work order analysis module (19) is connected to the trajectory tracking module (20); the trajectory tracking module (20) is connected to the heart rate detection module (21); and the heart rate detection module (21) is connected to the safety alarm module (22).

9. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 8, characterized in that: The work order analysis module (19) is used to define the activity area of ​​the wearer according to the construction work order information after identifying the wearer's identity information; The trajectory tracking module (20) is used to simulate the wearer's movement trajectory in real time based on the position information collected by the GPS positioning module (8) in the helmet worn by the wearer; The heart rate detection module (21) is used to monitor the wearer's heart rate in real time and issue an alarm instruction when the real-time heart rate exceeds or falls below a normal heart rate threshold; The safety alarm module (22) is used to receive an alarm instruction and send an alarm to the voice interaction module (10) via the first wireless transceiver module (11), prompting the wearer to take a rest.

10. A digital monitoring platform for monitoring power grid workers' helmet wearing according to claim 9, characterized in that: The method of using the digital monitoring platform specifically includes the following steps: S1, storing the power grid construction work order information and the pre-recorded facial information of the power grid construction personnel in the data storage unit (5); S2. Before construction, the power grid construction personnel wear a helmet as the wearer and go to the face recognition location. A dynamic identification is added at the installation location of the face recognition module (12). The face recognition module (12) collects face information of the wearer. The collected face information is sent to the data processing platform (3) through the second wireless transceiver module (13). After comparing the collected information with the face pre-recorded information in S1, the current wearer's identity is identified. During the process, the GPS positioning module (8) in the helmet locates the helmet and sends the location information to S3. At the same time, the camera module (9) in the helmet obtains the front-end image of the wearer's face direction. The front-end image contains dynamic identification information and is transmitted to S3. S3, obtaining the location information of the installation location of the face recognition module (12), obtaining the location information collected by the GPS positioning module (8) in the helmet corresponding to the current wearer through the positioning comparison module (15), comparing the two location information, obtaining the front-end image through the identification comparison module (16), comparing the dynamic identification information corresponding to the time of face recognition information collection with the front-end image, observing whether the dynamic identification information is consistent, and at the same time analyzing whether the heart rate information collected by the helmet heart rate sensor module (7) has changed through the heart rate analysis module (17), and when the result verification module (18) determines that the comparison results of the two location information are consistent, the dynamic identification information is consistent, and the heart rate information has changed, issuing a certification that the helmet is safely worn by the current wearer; S4, after the face recognition module (12) completes face recognition, the identification setting module (14) automatically switches the dynamic identification; S5. After completing the authentication of S3, the wearer enters the working area. During the process, after the identity information of the wearer is identified by the work order analysis module (19), the activity area of ​​the wearer is planned according to the construction work order information. At the same time, the trajectory tracking module (20) simulates the wearer's movement trajectory in real time according to the position information collected by the GPS positioning module (8) in the helmet worn by the wearer. During working hours, the heart rate detection module (21) monitors the wearer's heart rate in real time. When the real-time heart rate exceeds or falls below the normal heart rate threshold, an alarm instruction is issued. After receiving the alarm instruction, the safety alarm module (22) sends an alarm to the voice interaction module (10) through the first wireless transceiver module (11), prompting the wearer to take a rest.

Images