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Background: Currently, the world is facing an unprecedented threat from the COVID-19 pandemic. Many countries have adopted the World Health Organization (WHO) recommendation to keep distance between people as one of the ways to reduce the spread of the disease. Many companies have also actively responded to the government's call to encourage employees to work from home and avoid contact. Although the WHO has made it clear that COVID-19 is not a food safety issue, the epidemic has brought new changes to the food industry and has effectively promoted the development of cloud services in the food testing industry. In response to the demand for more cloud-based big data analysis brought about by epidemic prevention, the food testing industry needs new solutions to meet this demand. In response to this, technology distributor Excelpoint Shijian has launched a food spectral analysis safety testing solution based on Alibaba Cloud applications.

▶ Digital three-band flame detector

• Use the specific wavelength of infrared signals emitted by flames to determine the occurrence of fire

• Detection distance up to 35 meters

• Tri-band infrared sensor can filter out interference and prevent false alarms

▶ Design advantages

• High cost performance, significantly lower cost than traditional analog interface sensors

• I2C digital interface, polled or triggered data acquisition

• The peripheral circuit is greatly simplified

• Current-type sensors retain frequency characteristics when saturated

• Dynamically adjust gain, high-pass and low-pass filtering parameters to cope with various fire situations

Download and burn firmware applications through the reference board, run software scripts, create the Alibaba web management interface, connect the reference board to the Alibaba Cloud IoT platform, and monitor and manage projects through web pages and mobile apps, supporting encryption and secure access.