Wireless measurement and control solution for the environment of Guanling Fossil Group National Geopark in Guizhou
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Guizhou Guanling Fossil Group National Geological Park is a national science base for land and resources. A large number of perfectly preserved marine reptiles (ichthyosaurs, sea dragons, tartarods, turtles), crinoids, ammonites, bivalves, conodonts, Nautilus, brachiopods, fish, shark teeth and ancient plants from nearby land. Shenzhen Xinli Technology’s wireless sensor network products and application solutions are used in the wireless environment monitoring, power wireless monitoring, and lighting wireless control management in the park museum.
1. Customer needs
1. Wirelessly collect the ambient temperature and humidity parameters in the museum;
2. Wirelessly collect data from power monitoring instruments
3. Build a wireless lighting control system
4. The collected data parameters will be uploaded to the monitoring center via wireless
2. Program description
The environmental monitoring and control project of Guanling National Geological Park in Guizhou mainly realizes wireless data collection and transmission, monitoring and early warning. For the special needs of customers, we recommend the use of wireless sensor network products, including wireless temperature and humidity sensors, wireless converters, wireless measurement and control devices, IoT smart gateways, etc., easy to install, no wiring, plug and play, saving manpower and cost , It also improves work efficiency.
Among them, the wireless temperature and humidity sensor is used to collect the environmental temperature and humidity parameters in the museum, the wireless converter is used to read and upload the data of the power monitoring instrument, the wireless measurement and control device is used to control the lighting system, and finally the collected data is uploaded to the monitoring through the intelligent gateway of the Internet of Things The central server is convenient for park management personnel to read, count and print online, and take corresponding measures according to data changes.
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