At present, garbage classification mainly depends on manual work, with large classification workload, low efficiency and low user participation rate. Under the background of the gradual popularization of smart home in people's life, aiming at the unsatisfactory implementation of waste classification, a kind of traceable intelligent garbage classification system based on voice interaction was developed in this work. The voice interactive flexible garbage sorting bin in the system can realize automatic movement of the partition to adjust the regional capacity, and automatically recognize the garbage type by voice, so that users can start classification at home. In addition, the encrypted QR code was adopted to track the user's information so as to supervise the garbage classification and solve the first half of the problem of garbage classification.
In the present work, power generation roads in the field of intelligent transportation and intelligent road were considered, and a kind of vibration energy collector based on piezoelectric was designed. On this basis, its temperature sensitivity was studied. Specifically, according to the characteristics of road load, a kind of energy collector structure based on an elastic block of disc spring was proposed. In addition, considering the influence of ambient temperature on energy collection efficiency, the physical and mathematical models of the heat transfer process were constructed for the designed collector structure. By importing different piezoelectric material parameters under different temperatures into the model and applying vehicle axle-load, the correlation between ambient temperature and the output voltage of the energy collector was successfully developed. This work provides essential guiding significance for designing/optimizing the structure of road energy collectors and selecting appropriate piezoelectric materials， which are suitable for road load and ambient temperature.