In order to meet the demand of intelligent city for domestic garbage classification and effective transportation, this paper discusses the overall scheme of the domestic garbage classification management system based on the “four classifications” standard of domestic garbage, using the characteristics of the Internet of Things and the existing intelligent garbage classification equipment. Subsequently, an intelligent domestic waste removal and transportation plan was proposed, and a new model of domestic garbage intelligent removal was established. Through the development of mobile terminals and the design of the background management system, an intelligent domestic garbage removal management platform is built, which improves the efficiency of transportation and realizes the intelligent management of domestic garbage classification and transportation.
As the core component of industrial robot RV reducer, its health condition determines the life and accuracy of the robot. The main reason that restricts the long-term stable operation of industrial robots. This paper analyzes and compares the advantages and disadvantages of various technologies from three aspects: state detection, signal processing and fault diagnosis. The problems of developing real-time online evaluation are also discussed. Deep data mining and exploring new methods of RV reducer condition monitoring are the research difficulties in this field. It provides a reference for further research in the field of RV reducer.
With the continuous and substantial increase in the demand for wind power generation in China, the development of wind power generation units tends to be large-scale, intelligent and efficient. Besides, the working environment of spindle bearings is relatively bad and the failure rate is relatively high. Therefore, it is necessary to conduct state monitoring and fault diagnosis for wind power generation units. This paper first introduces the bearing system of wind turbine, then expounds the common faults of wind turbine spindle bearing, and carries out relevant research. According to the fault types, this paper investigates and combs the condition monitoring and fault diagnosis methods of spindle bearing. Finally, the author proposing a new condition monitoring method, which solves the vacancy of condition monitoring method based on strain.
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