For the status quo that monitoring system for mechanical equipment has limited ability to integrate information and make decision, designed the model of wireless monitoring system for mechanical equipment based on multi-Agent technology, discussed means to exchange information and communication principle among each Agent, proposed method to adjust performance parameters and task data for inference results of decision-making-Agent based on BP neural network control algorithm, realized automatic and intelligent monitoring for mechanical equipment performance.

In this paper, we researched the monitoring technology of structural health which based on wireless sensor networks, and combined with the characteristics of structures, we designed a wireless sensor network monitoring systems, then the composition and topology of wireless sensor networks was proposed. At last, we used the improved ant colony algorithm to develop network energy-saving strategy which parameters are the energy of wireless sensor nodes, resized using node energy to control the routing between nodes, effectively reducing the energy consumption of wireless sensor monitoring network. The simulation result proved that the algorithm is effective, reliable and energy-saving effect.