éclairage public automatique sur le système de contrôle du capteur

The  Street Light CCT Sensor aims at the using environment of street lighting, tunnels etc., through the abnormal changing ambient, the lighting fixtures are automatically controlled according to programming to realize intelligent lighting management. Traditional street lightings,  tunnels, factories lighting fixtures are mostly controlled by personnel inspection or regular control, which initially meets the needs of the scene, but still cannot achieve the effect of intelligent control. For example: Turn on or dimming to brighter when people is coming, and turn lights off when people go away; No matter which direction the person enters from, the lamps in the area will automatically light up or increase according to the setting; this equipment cooperates with the intelligent lamps to solve these problemsperfectly. It adopts the most advanced and popular LoRa wireless communication technology, the communication distance can reach 3 kilometers without repeater, and the actual measurement reach 1 kilometers, and the communication distance is adjustable.

Le contrôleur de terminal d'éclairage intelligent est largement utilisé dans les projets d'éclairage public de la ville intelligente , les tunnels routiers express et le système d'éclairage industriel des entrepôts , les usines , etc . , pour contrôler les appareils d'éclairage à travers l'homme-machine interface, surveillance des lampes et acquisition de données.

Key Features n Applicable to signal control systems, traffic information service systems, road traffic monitoring and other application scenarios. n High precision millimeter wave radar with 4 million low illumination camera. n Max. 8 lanes of multi-target motor vehicles detection, longitudinal distance of 100m. n High spatial resolution and strong penetration ability, support working in all-weather environment, not affected by rain, fog, strong wind, dust, light, etc. n Built-in deep learning algorithm, support intelligent recognition function, support license plate recognition and target fully structured. n Supports detection of multiple targets’ position, lane, speed, direction and other info. n It supports lane statistics, traffic flow, speed, status, queue, time distance, spacing, Qty.of parking areas, avg.delay, space occupancy and time occupancy data, and supports statistical upload from 1 to 3600 seconds. n Supports traffic evaluation data output, including congestion, queue length, etc. n Each lane supports 2 virtual coils to output vehicle entry and exit signals, the virtual coil positions are configurable. n Fog penetration, strong light suppression, wide dynamic range, and has multiple white balance modes to suit various scene requirements. n Support Network & RS-485 data upload. Parameters Millimeter Wave Radar Target Type People / Motor Vehicles / Non-Motor Vehicles Max. Qty. of Detection 128 Working Frequency 80 ~ 81GHz Transmit power 12dBm(RFout)+18dB(ANTgain) Speed Detect Range -250 km/h ~ 250 km/h Detection Mode Doppler moving target detection, slow moving target detection, fast moving target detection Sweep bandwidth 136.5 MHz Modulation Waveform FMCW Max. Detection Distance 150m@0° ;    50m@士45° Horizontal angle measurement range 士45° Horizontal lobe 90° for MRR, 22° for  LRR Vertical Lobe 13°(-6dB) Refresh rate 12.5Hz Install Height 1~ 6m   Interface Serial Port 1 of RS-485 Port Snapshot Function Image Format JPEG Image resolution 2688 × 1520 Smart Functions Intelligent recognition Bayonet capture, license plate recognition, vehicle model recognition, vehicle body color recognition, brand, sub-brand. Exterior Interface Ethernet 2pcs RJ45 100 M / 1000 M Adaptive Ethernet port  Warning 1 Relay switch Function Features Min.illumination Colorful: 0.01 Lux @ (F1.2，AGC ON) Black & White: 0.001 Lux @ (F1.2，AGC ON) shutter 1/25s ~ 1/100,000s Video compression standards H.264, H.265, MJPEG Compression output bit rate 32 Kbps ~ 16 Mbps Video resolution 2688 × 1520 Frame rate 25 fps (2688 × 1520) Image Settings Saturation, brightness, contrast, white balance, gain adjustable through software Storage function TF General functions Heartbeat, password protection, NTP time synchronization Video format PAL General Specifications Dimmensions 226 mm (W) x 375.3 mm (H) x 206.4 mm (D) Working Temperature -30 °C ~ +70 °C Working Humidity 5% ~ 95% @ 40 °C，No condensation Working Voltage DC 24 V ± 10% Power Consumption 25 W Max. N.W. 3 kg ICR Type Infrared IP Rating IP67 Focal Length 12 mm Resolution 2688 × 1520 White Balance Automatic white balance Wide dynamic range Support Max. Energy Optimization achieving by the Smart Traffic Radar  and Video all-in-one Detecting Machine 

principales caractéristiques: 1. large plage de puissance de 50W, 100W, 200W, 500W, 600W, 1500W 2. eau profonde de 50 pieds à 1000 pieds sous le fond marin pour attirer les poissons (300 m de profondeur) 3. modèle de brevet d'utilité 4. Puces LED VHO pour une efficacité supérieure de 25 % 5. câble de qualité marine pour 5 à 10 ans de travail en eau salée (environnement marin)

Why Choose an IoT-Enabled Hybrid Solar + Grid Street Lighting System? Modern cities are experiencing rapid expansion, rising energy demand, and an increasing need for reliable public infrastructure. Street lighting is one of the largest electricity consumers in any municipality, and traditional grid-powered lighting systems often struggle with high operating costs, unstable power supply, and limited management capability. At the same time, purely solar street lights face their own challenges, such as insufficient sunlight during rainy or cloudy seasons, battery degradation, and inconsistent performance in regions with harsh climates. These issues have created a strong global demand for a more resilient, intelligent, and cost-effective lighting solution—leading to the rise of IoT-enabled hybrid solar + grid street lighting systems. A hybrid street lighting system integrates three essential components: solar energy, the local electrical grid, and a high-cycle LiFePO4 battery backup. During sunny days, the solar panel provides power and charges the battery. At night or during cloudy periods, the system intelligently switches to battery or low-tariff grid electricity depending on availability. This dual-source architecture solves the “solar only” reliability problem while significantly reducing dependence on expensive peak-hour grid electricity. Cities benefit from lower electricity bills, improved lighting reliability, and reduced CO₂ emissions without compromising performance. The addition of IoT technology further transforms the system from a basic lighting device into a smart, data-driven infrastructure asset. With IoT lamp-level controllers, each street light can report real-time information such as voltage, current, temperature, battery state of charge, and power consumption. Faults—such as LED failure, low battery, or power loss—are automatically detected and sent to a centralized monitoring platform. This enables cities to replace traditional manual inspection with predictive maintenance, reducing manpower costs and minimizing downtime. IoT also enables precise lighting control. Municipalities can schedule automatic ON/OFF times, dim lights during low-traffic hours, or adjust brightness in response to weather, road conditions, or special events. When applied across thousands of street lights, these small adjustments can reduce energy consumption by 30% to 70%. Combined with hybrid power, cities can ensure that every roadway, rural village, industrial zone, or highway retains stable lighting even during extended rainy seasons, power outages, or natural disasters. For developing countries or regions with unstable grids, hybrid solar + grid IoT street lights offer an especially powerful advantage: continuous lighting security. Frequent blackouts are no longer a threat, and the system can maintain illumination for several nights using battery backup alone. This significantly improves road safety, reduces crime risk, and supports 24-hour economic ...

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