Nippon Electric Works Co., Ltd. (based in Chiyoda-ku, Tokyo) recently announced on March 4 that it has partnered with Casio Technology Corporation (also located in Chiyoda-ku, Tokyo) to develop a "simple multi-point simultaneous monitoring system." This innovative solution integrates Casio’s advanced camera recorders with the long-range wireless LAN technology called "FalconWAVE." The system enables wireless transmission of images from multiple surveillance cameras installed in large-scale facilities, such as megawatt photovoltaic power plants. It ensures full coverage of the monitored area while allowing remote access through a network.
According to Nippon Electric, this system eliminates the need for extensive construction work, reducing setup costs by up to 30%. The system uses low-power surveillance cameras and wireless LAN technology, consuming only 6 watts of power and operating entirely independently. This makes it ideal for remote and hard-to-reach locations.
With Japan actively expanding its megawatt photovoltaic power plant infrastructure, the need for efficient and reliable monitoring systems is growing. These facilities often rely on security systems like infrared sensors and intrusion detectors, but they remain unmanned. This creates risks such as unauthorized entry, vandalism, and equipment theft. Additionally, wildlife—especially large birds and animals in mountainous areas—can cause damage to solar panels and other equipment.
The newly developed system optimizes frame rates to transmit high-quality images from numerous high-performance surveillance cameras over long distances. It allows real-time integration of these images into monitoring devices and enables users to view footage from multiple cameras via mobile phones or personal computers using cloud services.
The wireless system operates on an unlicensed 2.4 GHz band, supporting one-to-four single-to-multipoint transmission. This capability helps monitor not only potential intrusions but also environmental factors like debris, dead leaves, weeds, and snow accumulation on solar panels. By identifying these issues early, the system helps maintain optimal power generation and prevents output losses. It offers a practical and efficient way to monitor multiple sites remotely, especially in unmanned facilities.
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