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Can sensors and IoT technology make waste sorting smarter?

2019-11-07View Original

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“Implementing waste sorting is related to the living environment of the general public, to the efficient use of resources, and it is also an important indicator of a society’s level of civilization. ”**The leader’s instructions on waste sorting clearly show that waste sorting has risen to the level of an **environmental protection strategy; it has become an absolute necessity. On July 1, 2019, the Shanghai Domestic Waste Management Regulations came into effect in Shanghai. These regulations marked the point at which, after more than 20 years of implementing waste sorting, China finally incorporated waste sorting into a legal framework. Subsequently, cities such as Hangzhou and Beijing followed suit by implementing waste sorting. However, knowledge about waste sorting is not yet widespread in our country, nor have any habits been established in this regard. Faced with the crucial question of \"What type of waste is this?\", various creative solutions such as \"someone else throwing away the waste\" and \"smart sorting\" have begun to emerge. At present, many cities in our country are leveraging the Internet of Things and sensor technology to promote the new approach of “Internet + waste sorting,” thereby advancing an intelligent management model for reducing and sorting urban waste. For example, in recent years, the Macao Special Administrative Region’s Urban Services Department has begun to utilize Internet of Things and sensor technologies to introduce waste volume monitoring systems in various enclosed waste disposal facilities across Macao, in order to keep track of the current conditions of each facility. It is understood that by leveraging Internet of Things technology, managers no longer need to rely on traditional management methods of sending personnel to various areas at regular intervals to check on the status of waste disposal facilities. This solves the problems associated with long processing times in the past, as well as the difficulty in obtaining an overall overview of the conditions in these facilities at any given moment. Furthermore, thanks to sensors that operate around the clock to continuously collect waste data, managers can, through the analysis of this data, understand the waste situation in various districts of Macau across different seasons, times of day, and special occasions. This enables them to make advance arrangements during peak periods and adjust collection times and routes accordingly. The waste volume monitoring system has the capability to detect changes in room temperature; by identifying such temperature changes, it can indicate whether there are any abnormalities in the waste storage area, allowing managers to take prompt action. Today, garbage recycling has become part of smart cities, and this is the consensus among most people in the industry. Industry experts point out that, as can be seen from the **plans, intelligent processing systems represent the future direction for waste sorting. Innovative technologies such as intelligence, big data, the Internet of Things, and sensors will serve as the key tools for companies to become deeply involved in the waste sorting industry chain. Faced with the complicated task of waste sorting, some companies have begun to explore and develop products for intelligent waste sorting. For example, in the field of sensor-based waste sorting technology, a company has developed a multi-functional trash bin equipped with intelligent monitoring devices. This bin uses infrared detectors to analyze the waste, and the data obtained from these detections is sent to a control unit, which then controls the sorting mechanism to separate the waste into different categories. To address the issues of low accuracy in waste sorting detection and the inability to make fine distinctions, a company invented a waste sorting and identification device. This device is equipped with five sensors: optical sensors, sound sensors, metal sensors, humidity sensors, and weight sensors. The type of waste is determined by combining the detection data from these five types of sensors, thereby improving the accuracy of waste identification. As waste sorting is implemented nationwide, more intelligent waste sorting devices will be used for this purpose. However, there are still shortcomings in China’s waste sorting technology at present. Firstly, artificial intelligence is costly; upgrading existing equipment to give it digital and networked capabilities requires substantial investment, which makes it impossible to apply it widely in household-based waste sorting for the time being. Secondly, waste sorting is not detailed enough. Waste is generally simply divided into “recyclable waste,” “non-recyclable waste,” and “hazardous waste,” but in real life, a more detailed classification of waste is required. For example, the Shanghai Waste Classification Management Regulations further classify waste into dry waste and wet waste, among others. Therefore, relevant enterprises and R&D entities should intensify their research and development in areas such as market demand for waste sorting and existing technical shortcomings, while also focusing on the practical application of these technologies. Only by improving the level of intelligence in smart waste sorting technology can waste sorting become simpler and faster, thereby making people’s lives better. Source: Digital display instruments http://yunrun.com.cn/product/

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