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AI Visualization Gateway

WS-GA-4000A

WS-GA-4000A AI smart visualization gateway adopts domestic industrial-grade embedded eight-core ARM-A57+GPU artificial intelligence processor with 6Tops computing power. The device integrates NVR, dynamic ring gateway, and AI analysis functions. It has a built-in Linux operating system and uses IoT communication technology and sensing technology to connect various sensors, electrical equipment, etc., connect the perception network and the communication network, and realize protocol conversion between different types of perception networks. It has functions such as data collection, storage, control and transmission, and realizes smart operation and maintenance core communication equipment for smart monitoring, data analysis, and indicator optimization of power users' distribution stations.

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Main functions and characteristics

1) Provides visual comprehensive observation and control, with built-in HDMI display interface;

2) Can realize personnel fall identification, identification of not wearing a helmet, personnel clothing identification, regional intrusion identification, surrounding dangerous objects identification, smoke identification, flame identification, animal intrusion identification, switch status indicator identification, switch opening and closing status identification, etc;

3) Strong anti-electromagnetic interference ability, can be used in harsh environments;

4) Industrial-grade design, wide temperature range, 3-level anti-magnetic, 1-level shockproof, moisture-proof, lightning protection.

Technical parameter

1. Shell

Protection level : IP40 full metal case, dustproof, anti-static, anti-interference
2. Working power supply

1) AC power supply : AC220V±20%, 50Hz/DC24V
2) Energy storage capacitor : 12V,40F
3) Power consumption : ≤30W
3. Port Configuration

1) RS485 : ≥6 ways
2) RS232 : ≥1 way
3) USB : ≥3 ways
4) SD interface : ≥1 way
5) SATA interface : ≥1 way
6) Bluetooth interface : ≥1 way
7) Ethernet interface : ≥8 ways
8) Public network wireless : ≥2 ways
9) RF wireless : ≥4 ways(2 ways LoRa 470Mhz 2 ways LoRa 2.4GHz)
10) Remote signal : ≥4 ways
11) Remote control : ≥4 ways
4. Hardware performance

1) Data acquisition and monitoring module : Adopts domestic chip ARM architecture quad-core processor, main frequency ≥1.2GHz, memory ≥2GB, storage capacity ≥8GB
2) Artificial intelligence analysis module : Adopt domestic chip ARM architecture eight-core processor, main frequency ≥2.4GHz, memory ≥8GB, storage capacity ≥32GB
3) Hard disk capacity : ≥2TB
4) AI computing power : ≥6Tops
5) Abnormal scene recognition accuracy : ≥96%
6) Video image processing time : ≤0.2s
5. Communication protocol

1) Remote communication protocol : Support protocols such as DL/T 634.5104, MQTT, Q/GDW 1517.1-2014 power grid video monitoring system and interface (SIP-B). The network layer IP protocol should support IPv4 and IPv6 protocols
2) Local communication protocol : Support DL/T 634.5104, MQTT, Modbus, IEC61850 (DL/T 860), wireless networking protocol of IoT node equipment for power transmission and transformation equipment, micro-power wireless network communication protocol of IoT for power transmission and transformation equipment, GB28181 or RTSP or SDK of station-side NVR, etc. The network layer IP protocol should support IPv4 and IPv6 protocols
6. Mean time between failures(MTBF)

≥2×10?hours

Size Description

483mm×250mm×44mm