Intelligent optical fiber sensing system based on deep learning

A technology of intelligent optical fiber and sensor system, which is applied in the direction of program control, clothing, and comprehensive factory control in sequence/logic controllers, which can solve the problem of victim injury, helmet quality and performance that cannot meet the requirements, and can not play a substantial role The role of the problem, to achieve the effect of reducing damage

Inactive Publication Date: 2020-01-07
苏州双刘精密仪器有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, traditional motorcycle helmets are mostly made of original materials. Although they have certain effects in terms of shockproof and buffering, they cannot play a substa

Method used

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  • Intelligent optical fiber sensing system based on deep learning
  • Intelligent optical fiber sensing system based on deep learning
  • Intelligent optical fiber sensing system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] refer to Figure 1-10 shown.

[0076] Specifically, this embodiment provides an intelligent optical fiber sensing system based on deep learning, including a smart helmet 1, an identification device 2, and a processing chip 3. The smart helmet 1 includes a helmet shell, a windshield, and a wearing unit, and is characterized in that The smart helmet 1 also includes a display screen 10, a ventilation unit 11, an inner filling layer 12, a D3O material 13, an electric drive material nozzle 14, and a protective switch port 15, and the helmet shell is sprayed with LINE-X protective paint; The display screen 10 is arranged on the inner surface of the windshield for displaying information; the ventilation unit 11 includes a ventilation hole and an electric ventilation fan, and the ventilation hole is arranged at the top of the helmet shell for providing opening for circulation; The electric-driven ventilating fan is arranged inside the vent hole for opening the ventilating func...

Embodiment 2

[0109] refer to Figure 1-10 shown.

[0110] Specifically, this embodiment is basically the same as Embodiment 1, except that in this embodiment, the processing chip further includes:

[0111] The identity recognition module 42 is configured to obtain user information fed back by the user's external device.

[0112] The takeaway acquisition module 43 is configured to acquire takeaway information fed back by the user's external device.

[0113] The address extraction module 44 is configured to extract the delivery address included in the takeaway order in the takeaway information.

[0114] The route planning module 45 is used to plan a single sub-movement route according to the delivery address and positioning data, and plan a total movement route including corresponding stopping points according to the delivery time and address according to the planned sub-movement route.

[0115] As a preferred mode of the present invention, the processing chip 3 also includes:

[0116] T...

Embodiment 3

[0132] refer to Figure 1-10 shown.

[0133] Specifically, this embodiment is basically consistent with Embodiments 1 and 2, the difference is that in this embodiment, the processing chip 3 further includes:

[0134] The order extraction module 47 is used to extract the order monitoring images from when the user receives the takeaway order through the external device to the set time.

[0135] The second violation module 48 is used to generate a delivery violation record for the user corresponding to the takeaway exceeding the delivery time.

[0136] As a preferred mode of the present invention, the processing chip 3 also includes:

[0137] The image extraction module 49 is used for extracting the real-time monitoring images captured by the monitoring camera 22 in real time.

[0138] As a preferred mode of the present invention, in S30, the method further includes the following steps:

[0139] S301. Obtain the food delivery information fed back by the external device mainta...

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PUM

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Abstract

The invention discloses an intelligent optical fiber sensing system based on deep learning. The system comprises an intelligent helmet, an identification device and a processing chip, wherein the intelligent helmet comprises a helmet shell, a windshield and a wearing unit; the intelligent helmet further comprises a display screen, a ventilation unit, an inner filling layer, a D3O material, an electric drive material nozzle and a protective switch port; the helmet shell is sprayed with a LINE-X protective coating; the identification device comprises a pressure sensor, an infrared proximity sensor, a monitoring camera and a positioning unit; the processing chip is arranged inside the helmet shell and is in wireless connection with the display screen, the ventilation unit, the inner filling layer, the electric drive material nozzle, the protective switch port, the pressure sensor, the infrared proximity sensor, the monitoring camera, the positioning unit, external equipment of a user, analarm center and an emergency center, and if the user is a take-out delivery person, the external equipment of the user is in wireless connection with a take-out platform server; and the head of the user is intelligently protected and the situation that the user cannot timely observe information of approaching objects around during vehicle driving is avoided.

Description

technical field [0001] The invention relates to an optical fiber sensing system, in particular to an intelligent optical fiber sensing system based on deep learning. Background technique [0002] As we all know, motorcycles have been widely loved by people since they came out, but some people hold such a view: "Motorcycles are riding at the risk of their lives." This is also true in practice. The most important point is that the motorcycle itself does not have a real protection for the driver and the passengers, especially when the speed is very fast, it is extremely dangerous. Wearing a helmet, as the most important protective measure in motorcycle riding, plays a vital role in the safety of drivers. At present, traditional motorcycle helmets are mostly made of original materials. Although they have certain effects in terms of shockproof and buffering, they cannot play a substantial role. Especially in some accidents, although the victim wears a helmet, the Victims still ...

Claims

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Application Information

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IPC IPC(8): A42B3/04A42B3/22A42B3/28A42B3/30G05B19/04
CPCA42B3/0406A42B3/0433A42B3/042A42B3/046A42B3/22A42B3/30A42B3/286G05B19/04Y02P90/02
Inventor 刘毅
Owner 苏州双刘精密仪器有限公司
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