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Application of embedded industrial computers in unmanned driving in mining areas
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Application of embedded industrial computers in unmanned driving in mining areas

2024-12-11 14:06:45

With the rapid development of science and technology, artificial intelligence and autonomous driving technologies have gradually penetrated into various fields. As an important industrial production site, the transportation and operation efficiency of mining areas have a vital impact on production capacity.

Table of Contents
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1. The importance of unmanned driving in mining areas

The operating environment in mining areas is complex and changeable, and traditional driving vehicles have many safety hazards, such as dust, obstructed vision, and fatigue driving. In addition, mining areas are often located in remote areas, and recruiting and managing drivers is also a challenge.
After the introduction of unmanned driving technology, these problems can be fundamentally solved. Through advanced perception systems and precise control technologies, unmanned vehicles can safely and efficiently complete the loading, transportation and unloading tasks of ore.

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2. Customer introduction

A Shanghai company, whose main business includes customized software development, system integration, cloud computing services, artificial intelligence and big data analysis, combines modern technical means such as the Internet of Things, machine learning, and data mining, and is committed to helping enterprises achieve digital transformation and intelligent upgrading.

3. Customer needs

The customer needs a high-performance fanless industrial embedded pc product for the vehicle-mounted core control system in unmanned mining areas. The key is that the embedded industrial computer must adapt to the harsh mining environment, have a good vehicle fixing method, and be equipped with shock-absorbing springs to reduce the impact of vibration during transportation on the equipment.
At the same time, considering the high frequency of use of unmanned vehicles in mining areas and the long project cycle, the customer requires that the equipment must have a warranty period of at least 5 years.

4. SINSMART TECH recommended solution

Product model: SIN-3116-Q370
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This industrial computer supports the 8th generation Core i7 processor, has a powerful computing power of 6 cores and 12 threads, and is combined with a high-end GPU, which is very suitable for CUDA computing, autonomous driving, deep learning and virtual reality applications.
It has 4 PoE+ Ethernet ports, which can provide up to 100W of power supply to connected devices, as well as multiple USB 3.1 GEN2 and USB 3.1 GEN1 ports to ensure sufficient scalability.
In terms of design, the SIN-3116-Q370 has a compact structure and a size of only 240x225x111mm, which is very suitable for use in a vehicle environment with limited space.
The industrial computer is also designed with expansion modules, which can expand RS232/422/485, isolated DIO, LVDS output and ignition power control modules to ensure stable operation in various complex environments.

5. Conclusion

As a leading industrial computer manufacturer, SINSMART TECH's DTB-3116-Q370 embedded industrial computer is an ideal choice for the application scenario of unmanned driving in mining areas, meeting customers' needs for on-board core control equipment and promoting safer and more efficient operation of unmanned vehicles in mining areas.For those seeking compact solutions, the EPC-S202 offers excellent performance for a variety of industrial applications.

In machine vision tasks, industrial PC for machine vision solutions enhance processing efficiency and accuracy, while the Advantech embedded PC product line provides versatile options for diverse industrial needs. For high-performance computing, the AFE-R770 delivers robust capabilities in fanless designs.

When applications demand superior graphical processing, the industrial PC with GPU ensures exceptional computational power and reliability. SINSMART continues to meet customers' needs for on-board core control equipment, promoting safer and more efficient operation of unmanned vehicles in mining areas.


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