The key role of predictive maintenance in Decheng’s new embedded computer DV-1000 series

With the evolution of IIoT & AI technology, more and more manufacturing industries are introducing predictive maintenance to collect equipment data at the Industrial site. Using artificial intelligence and machine learning technology to assist data analysis, in addition to improving the degree of equipment automation, is of great help in reducing equipment maintenance costs, reducing downtime, and reducing the rate of misjudgment downtime, thereby extending equipment life, creating efficiency, Increase profits and other advantages. Decheng Rugged Embedded Computer – DV-1000 series of high-efficiency and compact embedded computers of DIAMOND product line, which integrates high-performance computing and flexible expansion capabilities into a small and compact volume, which can process large amounts of data quickly and in real time. It is the recommended model for introducing preventive maintenance in industrial sites with harsh environments.

Efficient operation

As the key core of predictive maintenance on-site, the first task is to quickly analyze and process the data collected by different devices in real time and connect to the cloud platform, so performance is the primary condition. High-efficiency thin embedded computer DV-1000 series, with high-performance computing, can be equipped with 9/8th generation Intel® Core™ i7/i5/i3 (Coffee Lake-R S series) processors, and supports up to 32GB DDR4 2666 MHz Memory, storage configuration has 2.5″ SATA HDD/SSD tray, 2 x mSATA slots, 1x M.2 Key M 2280 slot, which can support NVMe high-speed SSD. DV-1000 can meet the needs of multi-tasking and field-side data analysis. The required computing performance can also be applied to fields such as machine vision and rail transit, in addition to the field of intelligent manufacturing.

Native I/O and Modular Expansion

The key core of the predictive maintenance field side needs to be connected in series with different equipment, through the installed sensors to collect information such as vibration, sound, temperature, voltage, weight, etc. for big data analysis. The native I/O of DV-1000 has I/O interfaces commonly used in industrial applications, including 2x GbE LAN, 2x COM, 6x USB, which can be connected in series with various types of sensors or other devices. It can also flexibly expand COM or DIO; it can also install MEC modules, add USB3.0, LAN, etc., which can easily meet the needs of predictive maintenance for various sensor interfaces and networking.

Rugged wide temperature design industry certification

The harsh industrial environment is also a big test for the stable operation of predictive maintenance. DV-1000 follows Dechen’s consistent insistence. In addition to using industrial-grade components, industrial-grade protection such as wide voltage (9-48VDC), wide Temperature (-40°C- 70°C) and other characteristics, even with the interference of various harsh environments, the DV-1000 still operates stably. The body is only half the size of an A4 sheet, making it easy to install in space-constrained industrial environments. The robust design of the DV-1000 has passed many industrial grade certifications and industry certifications, such as EMC, military equipment inspection standards (MIL-STD-810G), etc., the reliable quality, and can become the high performance necessary for enterprises to introduce predictive maintenance. Edge computing computer.