This is a major sign of the rapid leap from independent thinking to deep thinking in artificial intelligence. The popularity of intelligent lighting stems from the rapid development of artificial intelligence. When artificial intelligence technology is combined with intelligent lighting, there will be many surprising discoveries. Intelligent lighting is a new industry born with the Internet of Things, and it is a subdivision of IoT under the influence of the Internet. Intelligent lighting not only has traditional lighting functions, but also can achieve automatic interaction, providing a more convenient, safe, and comfortable experience.
The traditional lighting supply chain system has been selfcontained for a long time and does not intersect much with other categories. With the development of the Internet of Things, intelligent lighting systems urgently need to be integrated with other intelligent devices and linked with other devices. The traditional lighting industry chain is no longer applicable to the intelligent lighting industry that requires a high degree of System integration. In the future, traditional lighting should be transformed and upgraded from the commercial model of lighting fixtures development to the system commercial model.
The popularity of intelligent lighting in the past year or two has been attributed to the rapid development of artificial intelligence. Not long ago, AlphaGo defeated Ke Jie, marking a rapid leap in artificial intelligence from independent thinking to deep thinking: machines, like human brains, have the ability to think deeply. They learn and upgrade themselves, making judgments and predictions about what happens through continuous learning. When we combine these cutting-edge technologies to look at intelligent lighting, we will have many surprising discoveries.
At present, the rapid iteration of robot, language recognition, image recognition, Natural language processing and other technologies provide significant technical support for intelligent lighting.
In the intelligent lighting system of Sengled Shengdi Intelligence, technologies such as music, facial recognition, and thermal map analysis are integrated into LED lighting fixtures, enabling lighting to have various "high intelligence" functions such as automatic statistics, automatic recognition, and behavior analysis, and will provide deeper system applications based on these functions.
Intelligent lighting does not exist independently, it will become a part of smart cities and smart homes throughout our work and life.
Smart cities are a new concept in the process of urban development, but the construction of smart cities involves various aspects, making it difficult to establish an effective and unified coordination mechanism nationwide. As the infrastructure of a city, lighting, if intelligently connected first, will effectively promote the construction and development of smart cities.
In addition to emphasizing the smart life brought by hightech, smart cities also focus on sustainable socioeconomic development. Intelligent lighting will help reduce energy consumption and facility maintenance costs, and assist smart cities.
The main benefit of reducing energy consumption is that intelligent lighting systems can effectively utilize natural lighting. Different locations in the city have different lighting requirements due to weather changes, seasonal changes, and even different environments such as trees and buildings around streetlights. If the entire city turns on its lights at the same time and turns them off at the same time, it will not only cause unnecessary energy consumption but also fail to meet the lighting needs of all regions. By adopting an intelligent lighting control system, this problem can be solved.
By utilizing M2M technology, it is also possible to achieve monitoring and remote control of lighting facilities
By utilizing M2M technology, monitoring and remote control of lighting facilities can also be achieved. When there is a problem with a street light, the node will send a fault message to the control center. After receiving the location message, the control center will immediately send an operator to the accident site, avoiding the time and cost of troubleshooting.
An important aspect of building a smart city is to ensure public safety. In terms of safety monitoring, it can be achieved through the combination of intelligent street lights and high-definition cameras. Through the communication between RFID chips installed on public facilities and nearby street light poles, analyze the geographical location of public facilities, coordinate with management backend, and then collaborate with on-site video capture and recording to timely release information and accident warnings.
If the camera can upload data to the cloud platform for storage and analysis, it will provide strong video evidence during criminal tracking. In addition, building a smart city can analyze road conditions through the analysis of these video data, providing more convenient information for drivers and travelers.