CN116763037A - Intelligent safety helmet based on edge detection technology and management system thereof - Google Patents

Abstract

This application relates to a smart safety helmet based on edge detection technology, and relates to the field of security technology. The smart safety helmet includes a hat body, a circuit board and a video collection module, a voice module, an environmental monitoring module, and vital signs electrically connected to the circuit board. Monitoring module, positioning module and power supply module; the circuit board includes an embedded motherboard and an AI chip mounted on the embedded motherboard, an embedded motherboard and a video acquisition module, a voice module, an environmental monitoring module, a vital signs monitoring module, a positioning module and a power supply. The modules are electrically connected and receive the data information collected by each module; the AI chip is used to process the received data information. The AI chip processes and calculates the data collected by each functional component, identifies various violations and dangerous factors within the construction site, and transmits it to the back-end management platform in real time through the wireless communication module to achieve security monitoring Intelligent and real-time, it can better solve the safety prevention problems at the construction site.

Description

A smart safety helmet and its management system based on edge detection technology

Technical field

This application relates to the field of security technology, and in particular to a smart helmet based on edge detection technology and its management system.

Background technique

Safety helmets are essential safety protection tools in engineering, climbing, excavation and other working environments. They can prevent the head from being hurt by falling objects and play a role in safety protection. Traditional safety helmets only have the simple function of protecting the head and lack intelligent safety prevention and data collection functions. They lack effective help and guidance in job site management, hazard identification, and personnel control, and are not easy to manage. Although some safety helmets are equipped with video and audio data collection components, all data is stored in the local SD card and cannot be transmitted to the background. Real-time data collection is not possible. In addition, some illegal operations, dangerous behaviors, and unfamiliar behaviors on site are not possible. Intrusions by personnel cannot be intelligently identified and timely reminded, which is not conducive to intelligent management and risk control at high-risk work sites.

Contents of the invention

In view of the shortcomings of the existing technology, this application provides a smart helmet and its management system based on edge monitoring technology to solve the problem of real-time uploading of collected video data, while achieving intelligent management and risk identification of high-risk job sites, and, in Behavior identification calculations are performed on the device side, which improves the real-time nature of risk identification and at the same time reduces the bandwidth pressure of network transmission.

In the first aspect, the smart helmet based on edge detection technology provided by this application adopts the following technical solution:

A smart safety helmet based on edge detection technology, including a hat body, a circuit board provided on the hat body, and a video collection module, a voice module, and an environmental monitoring module provided on the hat body and electrically connected to the circuit board. Vital signs monitoring module, positioning module and power module.

A further technical solution is that the circuit board includes an embedded motherboard and an AI chip mounted on the embedded motherboard, and the embedded motherboard is connected with the video collection module, voice module, environment monitoring module, vital sign monitoring module, and positioning module. The module and the power module are electrically connected and receive data information collected by each module; the AI chip is used to process the received data information.

A further technical solution is that the cap body is also provided with a communication module electrically connected to the embedded motherboard, and the communication module is used to output data information processed by the AI chip in real time.

A further technical solution is that the cap body is provided with a wire trough, and the cables connecting each module to the embedded motherboard are arranged in the wire trough.

A further technical solution is that the vital sign monitoring module includes a heart rate monitoring sensor and a blood oxygen detection sensor, and both the heart rate monitoring sensor and the blood oxygen detection sensor are arranged on the chin strap.

A further technical solution is that the environment detection module includes a gas sensor, an ambient temperature and humidity sensor and a dust sensor, and the signal output ends of each sensor on the environment detection module are electrically connected to the embedded motherboard.

A further technical solution is that the voice module includes a microphone and a speaker, the microphone is electrically connected to the AI chip, and the speaker is electrically connected to the communication module.

In the second aspect, a management system based on edge detection technology provided by this application adopts the following technical solution:

A management system based on edge detection technology, including a back-end management platform and the smart helmet according to any one of the first aspects, the back-end management platform establishes a communication channel with the smart helmet through a communication module, and the The smart helmet is used to receive and display video information, voice information, environmental information, vital sign information and location information sent by the smart helmet.

A further technical solution is that the back-end management platform includes an alarm module for sending an alarm signal when the detection information sent by the display smart helmet reaches or exceeds a critical value.

In summary, compared with the prior art, the effective effects achieved by this application are as follows:

1. The smart helmet in this application uses an embedded motherboard with built-in AI chip and wireless communication module, and links functional components such as video module, communication module, positioning module, environmental monitoring module, voice intercom module, and vital sign sensor. The AI chip controls The data collected by each functional component is processed and calculated to identify various violations and dangerous factors within the construction site, and is transmitted to the monitoring center in real time through the wireless communication module to achieve intelligent and real-time security monitoring. Better solve construction site safety prevention problems.

2. The AI chip in this application has many advantages such as small size, light weight, high data transmission rate, and scalable functions. This application integrates AI chips into smart helmets, which can process data collected at the construction site more quickly, filter out irrelevant data, and upload data with potential safety hazards to the monitoring center management system, while reducing network bandwidth pressure. On the basis of this, it can more effectively identify dangerous factors and dangerous behaviors at the construction site.

3. The back-end management platform of this application receives and stores the data uploaded by the embedded motherboard in real time, and expresses the data graphically. Based on the graphical data, back-end managers can accurately identify the video images, environmental quality, and vital signs of the wearer at the job site and grasp the risk factors existing at the job site in a timely manner. Conduct real-time monitoring of the work site and organize rescue immediately in case of emergency to ensure the safety of the work site.

Description of drawings

Figure 1 is a schematic diagram of the external structure of a cap body provided by an embodiment of the present application;

Figure 2 is a bottom view of the internal structure of a cap body provided by an embodiment of the present application;

Figure 3 is a functional module connection block diagram provided by an embodiment of the present application;

Figure 4 is a block diagram of a management system provided by an embodiment of the present application.

Reference signs: 11. Wire trough; 12. Outer protective layer; 2. Circuit board; 21. Video collection module; 22. Voice module; 23. Environmental detection module; 24. Vital sign monitoring module; 25. Positioning module; 26 , power module; 27. communication module.

Detailed ways

The technical solutions in this application will be further described in detail below with reference to the accompanying drawings.

This specific embodiment is only an explanation of the present application, and it is not a limitation of the present application. After reading this specification, those skilled in the art can make modifications to this embodiment without creative contribution as needed, but as long as the rights of this application are All requirements are protected by patent law.

The embodiment of the present application provides a smart safety helmet based on edge detection technology. Please refer to Figures 1 to 3. The smart safety helmet includes a hat body and a circuit board 2 arranged on the hat body. The circuit board 2 is electrically connected to a video collection module 21, a voice module 22, an environment monitoring module, a vital signs monitoring module 24, a positioning module 25 and a power supply module 26. Wherein, the hat body is provided with a lower forehead strap for fixing the hat body on the person's head. The cap body includes an outer protective layer 12 and an inner protective layer. There is a receiving space between the outer protective layer 12 and the inner protective layer. The outer protective layer 12 and the inner protective layer can be connected by buckles or screws (figures attached). (not shown), the circuit board 2 is arranged in the accommodation space between the outer protective layer 12 and the inner protective layer.

Specifically, the circuit board 2 includes an embedded motherboard and an AI chip mounted on the embedded motherboard. The embedded motherboard has a video collection module 21, a voice module 22, an environmental monitoring module, a vital sign monitoring module 24, a positioning module 25 and The power module 26 is electrically connected and receives the data information collected by each module; the AI chip is used to process the received data information. The AI chip is the core component of the smart helmet video algorithm operation, and is also the core component of the helmet positioning and helmet data. The core module of communication has the following main configurations:

(1)GPU: VoltaTM architecture equipped with 384NVDIACUDAcores and 48Tensor cores;

(2)CPU: 6-core Car-mel ARMv8.2 64-bitCPU 6MB L2+4MB L3;

(3) Video memory: 8GB 128-bit LPDDR4x51.2GB/s;

(4) Storage: 128G solid state drive;

(5) Links: Gigabit Ethernet, M.2Key E (WiFi/BT include), M.2Key M (NVMe).

The video module includes a camera, which is placed at the front end of the hat body and is used to collect video images in front of the wearer of the smart helmet.

The voice module 22 includes a microphone and a speaker. The microphone is electrically connected to the AI chip, and the speaker is electrically connected to the communication module 27 . Among them, the microphone is placed on the chin strap to collect the wearer's voice information; there are two speakers and they are placed on the left and right ends of the hat body. In this way, the speakers are closer to the ears, which is beneficial to reducing noise interference and making it convenient for the construction site. voice communication.

The vital sign monitoring module 24 includes a heart rate monitoring sensor and a blood oxygen detection sensor. The heart rate monitoring sensor and the blood oxygen detection sensor are both arranged on the chin strap. The heart rate monitoring sensor, blood oxygen detection sensor and microphone can be integrated on the same device. The wearer secures the chin strap to his or her mandible, which allows the heart rate monitoring sensor and blood oxygen detection sensor to fit against the skin of the human neck, making detection more accurate.

There are connecting wires attached to the chin strap for electrically connecting the vital signs monitoring module 24 and the microphone with the embedded motherboard to achieve signal transmission. When a worker wears the smart helmet, the chin strap bears tension and the wire is attached to the outer side of the chin strap.

The environment detection module 23 includes a gas sensor, an ambient temperature and humidity sensor, and a dust sensor. The signal output ends of each sensor on the environment detection module 23 are electrically connected to the embedded motherboard. Each sensor on the environmental detection unit is arranged in the accommodation space between the outer protective layer 12 and the inner protective layer of the cap, and the detection end is connected to the outside world for accurately detecting the surrounding air environment. The gas sensor includes a combustible gas sensor and a harmful gas sensor, which are respectively installed on both sides of the hat body to detect whether there are harmful gases and combustible gases around the wearer; the ambient temperature and humidity sensor and the dust sensor are respectively installed on the circumferential sides of the hat body. Edge, used to detect the ambient temperature, humidity and dust concentration around the wearer.

The positioning module 25 can be a GPS positioning chip or a Beidou positioning chip, which is used for satellite positioning or network positioning of the specific position of the smart helmet to output the wearer's longitude and latitude coordinates in real time or to output position information in conjunction with a map model.

The power module 26 is a lithium battery, which is placed on the rear side of the helmet body. It is the power source for the normal operation of each module of the smart helmet and is connected to each module through the built-in circuit of the helmet body.

In one embodiment, the power module 26 is a detachable lithium battery. A battery slot is provided on the rear side of the cap body, and a cover plate (not shown in the drawings) that matches the slot. The bottom of the slot is provided with There are contacts for electrically connecting the power module 26 with other functional modules to achieve power supply. When the power is exhausted, you can directly replace the battery with a new one, which is convenient and quick.

In another embodiment, the power module 26 is an embedded and rechargeable lithium battery, and a charging interface is provided on the cap body for charging the power module 26 . When the power supply is exhausted or about to be exhausted, you need to connect the power supply to charge the battery. The battery in this way is firmly installed to prevent the battery from falling off after the cap is hit.

The cap body is also provided with a communication module 27 electrically connected to the embedded motherboard. The communication module 27 includes a communication chip provided on the embedded motherboard and an antenna provided on the cap body and electrically connected to the AI chip. Used to output data information processed by the AI chip in real time.

A wire trough 11 is provided inside the cap body, that is, a convex strip is provided on the inner side of the outer protective layer 12, and a slot is formed in the middle of the convex strip to form a wire trough 11. At the same time, the end surface of the convex strip contacts the outer side of the inner protective layer. to support. The cables between each module and between each module and the embedded motherboard are arranged in the wire slot 11 to prevent the cables from being deflected, causing sound or friction and causing damage, which helps to increase the service life.

Based on the same inventive concept, embodiments of the present application also disclose a management system based on edge detection technology. Please refer to Figure 4. The management system includes a back-end management platform and the aforementioned smart helmet. The back-end management platform uses The communication module 27 establishes a communication channel with the smart helmet, which is used to receive and display video information, voice information, environmental information, vital sign information and location information sent by the smart helmet.

The back-end management platform includes a server, a computer connected to the server, and input and output devices. The input and output devices include a mouse, a keyboard, a microphone, and a speaker. The back-end management platform can display the current position of the person wearing the helmet in real time through the communication module 27, as well as the surroundings. Environmental information, vital signs information of the wearer, and video information around the wearer are convenient for relevant staff to view.

Further, the back-end management platform also includes an alarm module. The alarm module can be a functional unit in the program and is used to send an alarm signal when the detection information sent by the display smart helmet reaches or exceeds a critical value. For example, when a smart helmet emits abnormal signals such as harmful gases or abnormal vital sign detection, it will emit a sound and a corresponding red light alarm signal.

At the same time, because the smart helmet has built-in AI chips and intelligent algorithms, it can provide alarm reminders for illegal activities and dangerous objects on the construction site, and send the alarm information to the back-end management platform for presentation, which can be called remotely The voice module 22 installed on the smart helmet provides an alarm or prompts the user to deal with dangerous people or objects, thereby preventing and reducing construction accidents.

A unit described as a separate component may or may not be physically separate. A component shown as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

As mentioned above, the above embodiments are only used to introduce the technical solution of the present application in detail. However, the description of the above embodiments is only used to help understand the method and the core idea of the present application and should not be understood as a limitation of the present application. Those skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and they should all be covered by the protection scope of this application.

Claims (9)

1. A smart safety helmet based on edge detection technology, characterized by: comprising a hat body, a circuit board (2) arranged on the hat body, and a circuit board (2) arranged on the hat body and electrically connected to the circuit board (2) The video collection module (21), voice module (22), environment monitoring module, vital signs monitoring module (24), positioning module (25) and power supply module (26). 2. A smart safety helmet based on edge detection technology according to claim 1, characterized in that: the circuit board (2) includes an embedded mainboard and an AI chip mounted on the embedded mainboard, and the embedded The main board is electrically connected to the video collection module (21), voice module (22), environmental monitoring module, vital signs monitoring module (24), positioning module (25) and power module (26), and receives the data collected by each module. The data information; the AI chip is used to process the received data information. 3. A smart safety helmet based on edge detection technology according to claim 2, characterized in that: the hat body is also provided with a communication module (27) electrically connected to the embedded motherboard, and the communication module (27) Used to output data information processed by the AI chip in real time. 4. A smart safety helmet based on edge detection technology according to claim 1, characterized in that: the hat body is provided with a wire trough (11), and the cables connecting each module to the embedded motherboard are arranged in the wire trough (11). 11) within. 5. A smart helmet based on edge detection technology according to claim 1, characterized in that: the vital signs monitoring module (24) includes a heart rate monitoring sensor and a blood oxygen detection sensor, and the heart rate monitoring sensor and blood oxygen detection sensor The oxygen detection sensors are all set on the chin strap. 6. A smart helmet based on edge detection technology according to claim 2, characterized in that: the environment detection module (23) includes a gas sensor, an ambient temperature and humidity sensor and a dust sensor, and the environment detection module (23) The signal output terminals of each sensor on 23) are electrically connected to the embedded motherboard. 7. A smart helmet based on edge detection technology according to claim 1, characterized in that: the voice module (22) includes a microphone and a speaker, the microphone is electrically connected to the AI chip, and the speaker is electrically Sexually connected to the communication module (27). 8. A management system based on edge detection technology, characterized in that: it includes a back-end management platform and an intelligent safety helmet as claimed in claims 1 to 7, and the back-end management platform communicates with the intelligent safety helmet through a communication module (27). The cap has a communication channel, and the smart helmet is used to receive and display video information, voice information, environmental information, vital sign information and location information sent by the smart helmet. 9. A management system based on edge detection technology according to claim 8, characterized in that: the back-end management platform includes an alarm module for displaying when the detection information sent by the smart helmet reaches or exceeds a critical value. , sending an alarm signal.