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| Section | Weight | Objectives |
|---|---|---|
| Intelligent Vision System Maintenance and Troubleshooting | 7% | - System monitoring and routine maintenance - Platform and service fault handling |
| Video Site Installation and Configuration | 18% | - Transmission and storage equipment deployment - Camera installation and debugging - Basic service configuration |
| Technical Principle and Application of Video Cloud | 5% | - Cloud-based video service deployment - Video cloud architecture and features |
| Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance methods and procedures - Common faults diagnosis and resolution |
| Intelligent Vision System Installation and Configuration | 12% | - System parameter configuration - Access and management configuration - Platform software deployment |
| Technical Principle and Application of Intelligent Camera | 5% | - Application scenarios of intelligent cameras - Key technologies: Supercolour, T-shot, high-density capture - Basic principles of intelligent cameras |
| Intelligent Vision System Service Commissioning | 8% | - Core service enabling and testing - System integration and interconnection |
| Video Site Planning and Design | 10% | - Power supply and transmission planning - Site selection and coverage design - Equipment selection and configuration |
| Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent analysis algorithms - Algorithm application and deployment |
| Video Interconnection Technology Standard and Application | 3% | - Interconnection solutions and implementation - Mainstream interconnection protocols and standards |
| Intelligent Vision System Planning and Design | 15% | - Platform and service planning - Network and storage design - System architecture and solution design |
| Technical Principle and Application of Video Big Data | 4% | - Data storage and management technologies - Video big data processing and analysis |
| Video Site Service Commissioning | 5% | - Link and performance commissioning - Video service activation and verification |
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NEW QUESTION # 56
Which of the following issues need to be focused on during solar PV module check?
Answer: A,B,C,D
Explanation:
The correct answers are A, B, C, and D because a proper solar PV module check must cover both the module condition and the mechanical support condition . A damaged panel can reduce charging efficiency or create safety risks. Dirt, oil stains, dust, or snow on the panel surface can block sunlight and reduce power- generation performance. At the same time, the support structure must be checked for corrosion, rust, and stability , because outdoor PV assemblies are continuously exposed to weather, vibration, and environmental aging.
This conclusion is also consistent with the overall site-power design described in the training material, where Huawei's integrated site solution includes "PV modules: two PV modules" and uses "SolarMax, and GridMax technologies to maximize energy efficiency of solar energy and mains and provide secure and reliable power supply" . Since PV modules are part of the site power system, both energy-conversion efficiency and structural reliability must be maintained. In actual maintenance practice, a clean, intact, and firmly supported PV module is necessary for stable long-term operation. Therefore, all four listed checks are valid and should be included.
NEW QUESTION # 57
Regarding the management node of the IVS 3800, which of the following statements is incorrect?
Answer: B
NEW QUESTION # 58
The OS log of the intelligent vision platform means that when the service fails, the user can locate the problem by collecting the service log.
Answer: B
NEW QUESTION # 59
Commonly used camera access protocols include ONVIF, SDK, GB/T28181, etc.
Answer: B
NEW QUESTION # 60
What type of recordings can be backed up by the smart vision platform?
Answer: D
NEW QUESTION # 61
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