With the improvement to China's living standards, the production of household garbage also increases, soda cans, plastic water bottles and other beverage packaging accounted for 30 percent of the household garbage. At present, the recycling of beverage bottles mainly relies on manual sorting, which is low in efficiency and easy to cause secondary pollution, resulting in the low utilization rate of beverage bottles. In this paper, a new type of beverage bottle recycling device is proposed, which integrates three functions of compressed beverage bottle, classification of beverage bottle according to the material, and centralized treatment of the waste liquid in the bottle, making the recycling more efficient. The mechanical design and partial structure of the device are analyzed in this paper. The new installation can reduce the transportation cost of beverage bottles, improve residents ' environmental awareness, improve the urban landscape, and reduce the burden of waste transfer stations.
KEYWORDS: Control systems design, Control systems, Remote sensing system design, Signal processing, Computing systems, Classification systems, Microcontrollers, Facial recognition systems, Data acquisition
Aiming at the pain points of low efficiency of garbage classification, low intelligence, large personnel investment, and lack of supervision in most communities, an intelligent garbage classification control system is designed based on vision and STM32 controller, including voice broadcast module, multi-sensor Collaboration module, wireless network access module, visual recognition module, remote control and diagnosis module, based on the authorized patents, the odor filter module was developed, and the automatic bucket changing function module was redesigned, which improved the efficiency of garbage classification and reduced manpower and material resources. Input costs. The test results show that the control system can effectively improve the work efficiency of sanitation personnel, the operation process is simplified and humanized, and it is suitable for promotion and application in various occasions, and has good market prospects and economic benefits.
At present, the test of the stopping distance of the escalator mainly relies on the marking method, which is completed
manually, and the error is large. In order to improve the efficiency and accuracy of detection, an idea and method for
escalator stopping distance measurement based on infrared distance test and Hall induction current test technology is
provided. First, it analyzes the braking principle and braking process of the escalator, adopts infrared-based ranging
technology, and increases the test frequency according to the algorithm to achieve the effect of real-time testing. During
the test, the position of the escalator during the entire braking process is dynamically tracked. Combined with the current
sensor to capture the change of the current, through the extraction and processing of the two signals, the accurate
stopping distance can be calculated. The test results show that the repeat error of the stopping distance measured by this
method is 1.7%, which is reduced to 1/5 of the original, and the test time is shortened to 1/2 of the original.
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