{"id":564,"date":"2026-02-02T16:13:32","date_gmt":"2026-02-02T16:13:32","guid":{"rendered":"https:\/\/rtars.com\/wwwco\/?page_id=564"},"modified":"2026-02-07T07:51:33","modified_gmt":"2026-02-07T07:51:33","slug":"power-line-monitoring","status":"publish","type":"page","link":"https:\/\/rtars.com\/wwwco\/sr\/power-line-monitoring\/","title":{"rendered":"\u041f\u0440\u0430\u045b\u0435\u045a\u0435 \u0434\u0430\u043b\u0435\u043a\u043e\u0432\u043e\u0434\u0430"},"content":{"rendered":"
\n
\n
\n

<\/p>\n\n\n\n

\u26a1<\/h2>\n<\/div>\n<\/div>\n\n\n\n
\n
\n
\n
\n
\n

Power Line Monitoring Solution<\/h2>\n\n\n\n

Autonomous UAV-Based Transmission Line Inspection & Defect Detection<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n
\n
\n

95%+<\/h3>\n\n\n\n

Detection Accuracy<\/h3>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\n
\n
\n

80%<\/h3>\n\n\n\n

Time Reduction<\/h3>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\n
\n
\n
\n

24\/7<\/h3>\n\n\n\n

Autonomous Operation<\/h3>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\n
\n
\n

<5s<\/h3>\n\n\n\n

Defect Detection<\/h3>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\n
\n
Contact Us<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n

<\/p>\n<\/div>\n\n\n\n

\n
\n
\n

\u0420\u0435\u0448\u0435\u045a\u0435<\/strong><\/p>\n\n\n\n

RAVAM \u2013 A New Era of Predictive Maintenance<\/h2>\n\n\n\n

<\/p>\n<\/div>\n<\/div>\n\n\n\n

\n
\n



End-to-End Solution<\/strong>
RAVAM offers a comprehensive AI-powered solution for automated VLS monitoring, from data acquisition to actionable insights.

Advanced Technology<\/strong>
Our proprietary sensor fusion and AI-driven analytics detect defects with unprecedented accuracy and speed.

Real-Time Monitoring<\/strong>
Get a comprehensive, near real-time view of your entire network with automated defect detection and reporting.<\/p>\n<\/div>\n\n\n\n

\n
\"\"<\/span>
\n

<\/h2>\n\n\n\n

<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

Data Acquisition \u2192 AI Analysis \u2192 Actionable Insights.<\/strong><\/p>\n\n\n\n

How It Works: 
The RAVAM 3-Step Process<\/h3>\n\n\n\n
\n
\n
\n
\"\"<\/figure>\n\n\n\n
\n

1. Data Acquisition<\/h3>\n\n\n\n

High-resolution aerial imagery (AFS) with resolution up to 2 cm\/pixel for pole-by-pole inspection
LiDAR data for precise 3D terrain modeling
Precision GNSS for sub-10cm accuracy using PPK method
Automated data ingestion into unified storage<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\"\"<\/figure>\n\n\n\n
\n

2. AI Analysis<\/h3>\n\n\n\n

Automated defect recognition on VLS support structures
Detection of violations within VLS protection zones
Identification of vegetation encroachment (trees over 4m)
Analysis of wire sag, clearance, and insulator condition<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\"\"<\/figure>\n\n\n\n
\n

3. Actionable Insights<\/h3>\n\n\n\n

Interactive cartographic interface for data visualization
Automated generation of structured reports (CSV, XLSX, DOCX, KML)
Pole-by-pole inspection records with defect statements
Prioritized maintenance recommendations<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n
\n
\"\"<\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\n

Key Capabilities<\/h3>\n\n\n\n

<\/p>\n<\/div>\n\n\n\n

\n
\n
\n
\n

\ud83d\udd0d<\/h3>\n\n\n\n

Multi-Sensor Inspection<\/h3>\n\n\n\n

RGB cameras (50MP), thermal imaging (-40\u00b0C to +550\u00b0C), LiDAR (\u00b12cm accuracy) for comprehensive line assessment.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n

\ud83e\udde0<\/h3>\n\n\n\n

AI Defect Detection<\/h3>\n\n\n\n

Computer vision models trained on 100,000+ defect images for automatic classification of corrosion, breaks, and hotspots.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n

\ud83d\udce1<\/h3>\n\n\n\n

Real-Time Monitoring<\/h3>\n\n\n\n

Live data streaming with instant alerts for critical defects, ensuring rapid response to emergencies.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n
\n

\ud83d\udd0d<\/h3>\n\n\n\n

3\u0414 \u043c\u0430\u043f\u0438\u0440\u0430\u045a\u0435<\/h3>\n\n\n\n

Generate detailed 3D models of your entire network with resolution requirements of 5cm\/pixel for general analysis and 2cm\/pixel for pole-by-pole inspection.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n

\ud83d\udd2e<\/h3>\n\n\n\n

Predictive Maintenance<\/h3>\n\n\n\n

Machine learning models forecast equipment failures weeks in advance based on thermal and visual trend analysis.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\n

\ud83d\udce1<\/h3>\n\n\n\n

Automated Reporting<\/h3>\n\n\n\n

Generate detailed inspection reports with GPS coordinates, defect classifications, and priority recommendations.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n
\n
\n

\u0422\u0435\u0445\u043d\u043e\u043b\u043e\u0448\u043a\u0438 \u0441\u0442\u0435\u043a<\/h2>\n\n\n\n

\u0420\u0410\u0412\u0410\u041c \u043f\u0440\u0443\u0436\u0430 \u0441\u0432\u0435\u043e\u0431\u0443\u0445\u0432\u0430\u0442\u043d\u0430 \u0440\u0435\u0448\u0435\u045a\u0430 \u0437\u0430 \u043f\u0440\u0430\u045b\u0435\u045a\u0435 \u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0435 \u0438 \u0430\u0443\u0442\u043e\u043d\u043e\u043c\u043d\u043e \u0438\u0441\u0442\u0440\u0430\u0436\u0438\u0432\u0430\u045a\u0435, \u043f\u043e\u043a\u0440\u0435\u0442\u0430\u043d\u0430 \u043d\u0430\u043f\u0440\u0435\u0434\u043d\u043e\u043c \u0432\u0435\u0448\u0442\u0430\u0447\u043a\u043e\u043c \u0438\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u043e\u043c \u0438 \u0444\u0443\u0437\u0438\u0458\u043e\u043c \u0432\u0438\u0448\u0435 \u0441\u0435\u043d\u0437\u043e\u0440\u0430.<\/p>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
<\/span>
\n

\ud83d\udef8 UAV Platforms<\/p>\n\n\n\n