Compared to the use of LED lighting products and sensors to save energy, the intelligent lighting network combines long-term cost-saving LED lighting with a smart open API software platform to further save energy. By using sensor technology that provides insight into system operation, building usage, and location, building managers can take advantage of this data to make more informed decisions about energy optimization, operational efficiency, and space utilization. Intelligent lighting networks can be integrated with other building systems through open APIs to make them customizable and secure. Data from sensor networks can also be used to fully capture energy efficiency opportunities throughout the building, including data, HVAC, conference room reservation systems, and security systems.
For example, if a building manager has a more comprehensive understanding of the building, you can learn about energy usage and ways to reduce energy usage to ensure that all workspaces are effectively utilized. For example, in some cases, after the conference room is used, the air conditioning and lighting system are still running, and the intelligent lighting network can prompt the building administrator to ensure that the system in these spaces is normally closed or reserved for later use. Space planners can also use their precise space occupancy data to identify areas of the building that are underutilized and can add more desks.
Enterprises and consumers will benefit from intelligent lighting network solutions in the context of building greener and greener environments. Companies that want to reduce energy consumption over the long term can use building automation systems to provide low-voltage LED lights throughout the office, and each with a sensor's intelligent lighting network solution. These sensors collect data on variables such as light and space occupancy, and then process them through network software programs that control lighting, set lighting strategies, and enable daylighting. Lighting accounts for 20% of the building's total energy consumption, so lighting with a design that reduces total energy consumption can improve the overall energy efficiency of the building.
Studies have also shown that combining passive design strategies with good lighting can have a positive psychological impact on households. Currently, the average annual cost of employee workspace in many parts of the world has exceeded $13,000. Therefore, being able to deploy technologies that help building managers understand when, where, and how space is being used is critical to managers. Real-time data on how buildings are being used 24 hours a day, 7 days a week, is a key element in helping managers address these challenges. When the display space is underutilized, this part of the space can be removed from the lease agreement combination, so that the relationship between the actual space demand of the enterprise and the supply of the property is more reasonable.
This demand is on the rise in the Asia Pacific region, and we can see that smart buildings are being widely adopted. IDC reports that in the Asia-Pacific region, the demand for smart buildings has tripled, especially in leading markets such as Singapore, Australia and Hong Kong, where they are eager for specific technologies such as building control and sensor technology. We also see that many of the leading Fortune 500 customers have deployed the solution throughout the building.
Intelligent lighting networks will continue to become smarter and more profitable. The future of the property is connected, dynamic scene management and open. Connectivity means sharing data from, for example, the system with everything from cooling systems, security and conference room management systems. When the lighting system indicates that the meeting room is unoccupied, then the meeting room becomes meaningless in the state of the reservation in the enterprise system. The meaning of dynamic scenario management is to comprehensively analyze multiple data streams to understand how to achieve optimal building operations for different individuals in a building. For example, if the itinerary shows that the general manager will arrive at the airport at 10 am and the connected vehicle shows the general manager at 11 am on the way to the office, the office system should be in standby at 11:30 am instead of As with the rest of the building, it is ready at 8 am. Therefore, the situation is the most critical part. Finally, I would like to say that the future must be open, and one day, those who charge for sharing data or try to constrain consumers in a dedicated or complex form will lose market.
In short, intelligent management in the future requires a high-density, high-precision sensor network; the premise of intelligence is the ability to obtain data and analyze data.
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