Monitor. Detect. Resolve.
Giám sát hạ tầng trọng yếu, phát hiện sự cố trước khi nó xảy ra
Parameter cung cấp khả năng quan sát liên tục và chính xác về rò rỉ, môi trường và sức khoẻ ắc quy — để đội vận hành xử lý trước khi mất điện, hư hỏng thiết bị hay vi phạm tiêu chuẩn xảy ra.
Ba dòng giải pháp
Battery Monitoring
When considering downtime risk, primary utility power outage is the most common cause of unexpected system failure. Averaging $687,700 per event, UPS failures are the most expensive cause of power-related outages, especially in high-density facilities where that number is multiplied by ten.
Tìm hiểuEnvironment Monitoring
Data center outages caused by environmental failures cost upwards of $489,000 on average. These failures account for around 33% of unplanned outages, and as high-density applications increase cooling demands, adequate environmental control is now more essential than ever.
Tìm hiểuLeak Detection
Every year, 1 in 7 data centers will experience a failure caused by unexpected leaks. These outages will cost Tier 1 and Tier 2 facilities $485,000 each on average, and that cost only increases as facilities integrate higher density operations and liquid cooling systems.
Tìm hiểuDanh mục sản phẩm
Cellwatch – theo dõi từng bình ắc quy, cảnh báo sớm trước khi mất nguồn.
Dây cảm biến và bộ điều khiển RLE định vị chính xác điểm rò rỉ.
Nhiệt độ, độ ẩm, nguồn điện và cảnh báo tập trung cho phòng máy.
Cáp, panel, công cụ thi công và phụ kiện lắp đặt.
Tin tức & bài viết
Xem tất cả
ClimateTech Series: Software Advancements and Energy Use
The costs associated with an unplanned outage, especially in high compute environments, means that companies are adopting software solutions that allow for the fastest response. Parameter’s technology can be easily integrated into existing infrastructure, allowing the company to deploy it for battery monitoring.
The Power Wall
The AI Build-Out Has a Power Problem. The Power Problem Has a Blind Spot. Sixty percent of U.S. data centers are one failed cell away from failure.
Why Leak Detection is Becoming a Critical Part of AI Data Center Architecture
Air cooling was designed for a world of 8 to 12 kW racks, but that world no longer exists. Today’s AI training racks routinely draw more than 100 kW, with roadmaps pushing toward 250 kW and beyond, and no amount of moving air can pull that much heat out of that small a footprint. That’s why liquid cooling has moved from a niche technique to the backbone of AI infrastructure almost overnight, with liquid-cooled server deployments more than tripling in a single year. But as coolant has moved from the room’s perimeter deep into the rack itself, running through manifolds, cold plates, and dozens of wetted quick-disconnect points inches from live electronics, it has quietly changed the risk profile of the entire data center.