According to the characteristic of Industrial and commercial Management specialty, especially “stronger practice”, in order to promote the transform of professional knowledge between explicit knowledge and tacit knowledge, the expansion model of SECI is introduced into the explorative analysis, and corresponding teaching methods and models are raised to facilitate the mastery and flexible application of students’ professional knowledge.

For monitoring burst events in a kind of reactive wireless sensor networks (WSNs), a multipath routing protocol (MRP) based on dynamic clustering and ant colony optimization (ACO) is proposed.. Such an approach can maximize the network lifetime and reduce the energy consumption. An important attribute of WSNs is its limited power supply, and therefore in MRP, some metrics (such as energy consumption of communication among nodes, residual energy, path length) are considered as very important criteria while designing routing. Firstly, a cluster head (CH) is selected among nodes located in the event area according to some parameters, such as residual energy. Secondly, an improved ACO algorithm is applied in search for multiple paths between the CH and sink node. Finally, the CH dynamically chooses a route to transmit data with a probability that depends on many path metrics, such as energy consumption. The simulation results show that MRP can prolong the network lifetime, as well as balance energy consumption among nodes and reduce the average energy consumption effectively.