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To achieve the intelligent, scientific management of the family pot, we design a remote intelligent watering system based on Internet of things. Firstly, the collection system of potted environment information is constructed by using soil moisture sensor and air temperature and humidity sensor. Secondly, based on STM32 microcontroller, ESP8266WIFI module and Internet of things technology, the potted information and watering command transmission system is realized. Finally, the web page of the system is developed by using JavaWeb technology and Mina communication framework to achieve the fundamental purpose of real-time display of potted environment information and remote intelligent watering. Tests show that the remote intelligent watering system works stably and has strong practicability, which ensures the healthy growth of family green plants.

An optic fiber refractive index (RI) sensor based on SMF-MMF-TMCF-SMF (SMTmS) structure is proposed. The MMF segment is introduced and confirmed theoretically and experimentally to act as an efficient optical coupler to launch the light from the center core to the cladding. Experimental results demonstrate that SMTmS is highly sensitive (1435.76 nm/RIU) to low surrounding RI in the range of 1.3330–1.3451. The temperature sensing has been implemented and the total wavelength shift of only 1.83 nm is achieved for the range of 30 °C–100 °C, implying a relatively low temperature cross-sensitivity of 2.01 × 10−5 RIU/°C. The developed sensor with high RI sensitivity and low temperature cross-sensitivity could be rather suitable and applicable in the fields of seawater sensing and environmental monitoring.

Parking space monitoring algorithm serves to constantly and correctly update parking information which is vulnerable to the influences of shadows of surrounding objects and weather conditions through image processing. By analyzing and comparing various parking space detection algorithms, this paper selects the most suitable algorithm to achieve parking space detection in Nios II soft core embedded in FPGA. The algorithm can accurately and quickly reflect the change of state of parking spaces and can ensure real-time processing. After detection of parking spaces, real time status of parking spaces and parking guidance information will be displayed via VGA.