In order to improve monitoring and control level for small and medium scale enterprises, an intelligent monitoring and control system has been designed. In hardware designing, MSP430FG4619 was selected as microprocessor for its topping performance and ultralow-power consumption; and the temperature and humidity can be gathered accurately by SHT71 sensor. The acquiring information can be saved in the memorizer provisionally and can be transmitted by wired or wireless transmission. In fuzzy control system software designing, a prototype for fuzzy control was built in the first instance. On the basis of artificial manipulation experience and specific characteristics of the environment, the fuzzy control system can be built expediently by adding relevant parameters to the prototype. Practice shows that: the fuzzy control system prototype greatly improve development efficiency of intelligent monitoring and control system. The system has a high degree of automation and storage food quality is improved obviously.
[1]
LI Ping-ping.
Preliminary study on intelligent decision support system for cucumber environment management in greenhouse
,
2004
.
[2]
Lixin Tian,et al.
Adaptive Control and Slow Manifold Analysis of a New Chaotic System
,
2006
.
[3]
Andrew B. Whinston,et al.
Foundations of Decision Support Systems
,
1981
.
[4]
Cecilia Stanghellini,et al.
A model of humidity and its applications in a greenhouse
,
1995
.
[5]
Liu Ping-zeng.
Design of distribution bench for precision measurement of nozzle integrative performance
,
2006
.
[6]
Gregory R. Madey,et al.
A CLIPS-based expert system for the evaluation and selection of robots
,
1994
.
[7]
Zhang Fei.
Design of Embedded Speed Controller in On-line Weighting System
,
2006
.