
【虹科方案】 Redis Enterprise 如何助力香港關鍵基礎設施合規?單秒級故障轉移實現零中斷核心功能保障
隨著香港《保護關鍵基礎設施(計算機系統)條例》實施,核心功能持續性與恢復時間目標(RTO)成為法定責任。Redis Enterprise 透過 99.999% 高可用架構、單秒級自動故障轉移與 Active-Active 多活技術,將恢復時間與恢復點目標趨近於零,在高負載下仍維持毫秒級延遲,幫助金融、電信與能源行業實現真正的零中斷數據合規。
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Based on Hongke's GNSS simulator technology solution and combined with actual application scenarios, this paper demonstrates the core value of this system in the development of new generation of inspection UAVs (unmanned aerial vehicles), covering a full range of testing capabilities in terms of navigational accuracy, multi-constellation compatibility, interference immunity and multi-sensor fusion performance.
A UAV R&D company needs to complete the testing of a new generation of inspection UAVs, and the testing requirements include:
The test must validate the UAV in a complex environment:
Field testing has long been constrained by the following factors:
This makes it difficult to meet the high efficiency and consistency of R&D needs.
To avoid these limitations, companies ultimately use Laboratory GNSS Simulation Test SolutionThe test platform is automated by HONGKE for full-scene coverage and high-precision validation.
GTS-P7 Built on the Skydel software engine, it provides a one-stop, high-performance, software-defined architecture for GNSS signal testing.
Key features include:

Skydel offers superior software definition flexibility:

The HONGKE Platform supports deep integration with a wide range of standard authentication tools:

All testing is done in the lab, no actual UAV flights are required. Controlled and highly reproducible
| Test Item | Test Content | Test Objective |
|---|---|---|
| 1. Static calibration | Simulated elevation angle 0°-90°, adjusted constellation signal strength -130 dBm to +20 dBm | Cold start positioning RMS < 1m |
| 2. Dynamic flight | Generates S-shape, sharp turns (radius <10m), ±5g vertical dynamics | Verification of DOP stability and heading error under high dynamics |
| 3. anti-interference test | Output Narrowband / Wideband / Pulse Interference | Verify Location Availability and Resilience |
| 4. RTK accuracy test | Analog Base Station - Mobile Station Differential, Delay | Verification of RTK cm-level positioning stability |
✓ Multi-constellation free switching (GPS / BDS / GAL / GLO)
✓ Pseudo-distance accuracy ≤ 1 mm
✓ Supports multiple interference signal overlays
✓ Support for forged coordinates and spoofing emulation
10 typical scenes in one go
→ Field Requirements 10 days → Laboratory only 8 hours
Failure can be reproduced by 100%
→ Support for track playback and pinpointing problem sources
Airspace Application Fee ↓ 90%
Field labor + Depreciation of equipment ↓ 40%+
Shorter test cycle 70% Above
Simulation of mountain terrain → Verification of power line obstacle avoidance
Testing of GNSS post-loss IMU takeover capability
Joint testing with 5G return link (<50ms)
GNSS + IMU + Visual SLAM Multi-sensor Fusion Verification

隨著香港《保護關鍵基礎設施(計算機系統)條例》實施,核心功能持續性與恢復時間目標(RTO)成為法定責任。Redis Enterprise 透過 99.999% 高可用架構、單秒級自動故障轉移與 Active-Active 多活技術,將恢復時間與恢復點目標趨近於零,在高負載下仍維持毫秒級延遲,幫助金融、電信與能源行業實現真正的零中斷數據合規。

2026 年初 Crunchbase 證實發生重大資料外洩,再次證明一次成功釣魚即可引爆數百 MB 檔案外流。除了外部攻擊,企業更常忽略「郵件誤寄」與內部外傳風險。本文解析釣魚產業化趨勢、合規壓力(如 HIPAA、GDPR、GLBA),並提供整合式 DLP、行為式 AI 與郵件加密的三位一體防護策略,協助企業在資料寄出前即時攔截風險。

ArangoDB plays a key role in the financial anti-fraud space, helping organizations move from traditional rule-based approaches to deep relationship insights. In the face of increasingly complex and insidious fraud networks, traditional risk control systems have been overwhelmed by the lack of a global perspective, lagging rule updates, and challenges in cross-system integration, ArangoDB, through its unique native multi-model (graphs, files, vectors) capabilities, integrates fragmented customer information, transaction behavior, and device fingerprints to achieve an integrated analysis of "Relationships + Behavior + Patterns Identification". This not only significantly improves the speed and accuracy of fraud identification, reduces decision-making delays and maintenance costs, but also empowers financial institutions with the ability to proactively prevent and comprehensively understand risks, opening a new chapter in financial anti-fraud.