Implementation method for region vector of IP mode multi-sensor cooperated measurement based on synergetics

According to synergetics, the mechanism model of multi-sensor cooperated measurement is established, which evolutionary process was based on cooperation-competition-harmony process. The cooperated learning in the mechanism model is a pivotal content. If the IP mode multi-sensor measuring samples are all trained to finish associative memory, they will make attraction domains of mechanism model disordered highly, so the acquisition of region vector is the precondition of implementing the model. Then the methods and technologies of some key problems to obtain region vectors were especially discussed, including the selection of clustering criterion function, the conversion rules of samples based on proportion and the confirmation of region vector number. In order to validate the practicability of mechanism model and realizing methods of region vector based on proportional clustering, the application of IP mode coordinated measuring & controlling system of modern greenhouse was presented. By the use of networked measuring & controlling strategy of modern greenhouse, the experimental results were shown out at the same time. The results indicate that the realization of region vector reduces greatly disordered degree, decreases computational quantity and time, increases the reliability of IP mode measuring & controlling system. These methods can be applied to the decision making of other complex systems in similar fields.