Intelligent Environmental Protection Research Articles

The Experience and Enlightenment of Asian Smart City Development—A Comparative Study of China and Japan

With the urbanization level advancing in cities, increasingly significant urban ecological environment problems must be solved. The construction of a smart city with the overall development of information technology also regards environmental friendliness as the primary goal. The “smart” idea of urban environment innovation and governance has become a new model. In this paper, we first expound on the development process of low-carbon cities, eco-cities, and smart cities in Japan and China. Then, we analyze the coordinated development of intelligent environmental protection measures in government policies, transportation, energy utilization, resource recovery, and community management. Finally, we compare Japan and China’s smart city development characteristics. We discuss the improvement measures for energy utilization, urban transportation, and urban operation, including developing renewable energy systems, efficient energy use, and citizen participation policy. These experiences can provide feasible measures for constructing Asian smart cities and have great significance for the city’s sustainable applications and practice.

An Influence Network-Based Consensus Model for Large-Scale Group Decision Making with Linguistic Information

The vast majority of the existing social network-based group decision-making models require extra information such as trust/distrust, influence and so on. However, in practical decision-making process, it is difficult to get additional information apart from opinions of decision makers. For large-scale group decision making (LSGDM) problem in which decision makers articulate their preferences in the form of comparative linguistic expressions, this paper proposes a consensus model based on an influence network which is inferred directly from preference information. First, a modified agglomerative hierarchical clustering algorithm is developed to detect subgroups in LSGDM problem with flexible linguistic information. Meanwhile, a measure method of group consensus level is proposed and the optimal clustering level can be determined. Second, according to the preference information of group members, influence network is constructed by determining intra-cluster and inter-cluster influence relationships. Third, a two-stage feedback mechanism guided by influence network is established for the consensus reaching process, which adopts cluster adjustment strategy and individual adjustment strategy depending on the different levels of group consensus. The proposed mechanism can not only effectively improve the efficiency of consensus reaching of LSGDM, but also take individual preference adjustment into account. Finally, the feasibility and effectiveness of the proposed method are verified by the case of intelligent environmental protection project location decision.

Development Strategy of Smart Internet of Things System

The Internet of Things (IoT) is an important component of the new digital infrastructure and is deeply integrated with the fifth-generation mobile communication (5G), big data, cloud computing, artificial intelligence (AI), blockchain, and digital twin. It is profoundly changing the technology system and promoting the digital economy, ushering in a new stage of smart IoT system in which everything is connected. This paper reviews the development status of IoT in China, proposes the concept of smart IoT system (IoT 2.0), and expounds on the implications, architecture, technical pedigree, and key enabling technologies. Practical cases of smart IoT system are explored considering the application scenarios of intelligent manufacturing, smart agriculture, smart grid, smart healthcare, intelligent transportation, and intelligent environmental protection, demonstrating the application values of the smart IoT system. Furthermore, we suggest that a technology integration innovation project that integrates IoT, AI, 5G, and new application field technologies should be implemented; focus should be placed on the research, development, and industrialization of intelligent products such as smart IoT systems / cloud native platforms / low-code (no-code) application development environments and toolsets, high-end sensors for smart IoT systems, and IoT chips / special components; and application demonstration of cloud-edge-end collaborative, autonomous controllable, safe, and credible smart IoT systems should be conducted.

Study on “Internet +” intelligent environmental protection to promote the modernization of environmental governance in Liaoning Province

Through the study of urban environment governance in liaoning province, analyzing the present status quo and problems of environmental governance, we hope to solve the problems of urban environment governance in liaoning province, and put forward Suggestions on promoting the modernization of urban environmental governance.Then building intelligent monitoring and early warning system, intelligent environmental monitoring system and intelligent service system, in order to enhance the modernization level of urban environmental governance in Liaoning Province.

Analysis and design of intelligent environmental protection IOT system architecture based on GIS

With the third great change of the world’s information industry, IOT will open an information age of interconnection of all things. The environmental protection Internet of things combines the traditional environmental protection industry with the Internet of things technology, realizes the practice of environmental protection informatization, is conducive to the construction of an all-round environmental protection governance system, speeds up the process of China’s environmental protection informatization, and promotes the rapid transition from “digital environmental protection” to “intelligent environmental protection”. With the continuous progress of cloud computing, big data and other cutting-edge technologies, environmental protection Internet of things has begun to integrate these technologies to better meet the needs of the public. In this paper, through the analysis and research of the application example of environmental protection Internet of things, summarizes the overall architecture of intelligent Internet of things system based on GIS for environmental protection. The overall architecture of the intelligent Internet of things system can be divided into four levels: field equipment, transmission network, IOT equipment management platform, environmental protection big data analysis and application platform. Using the IOT system architecture to design the IOT system platform can solve the repeated construction of infrastructure and software application system in the field of environmental protection, improve the traditional environmental governance mode and meet the public’s right to know the environmental conditions. People can understand the real-time environmental information through mobile terminals or environmental protection cloud platform, and enterprises that cause pollution can use the network Anonymous reporting is carried out so that the public can participate in the national cause of ecological environment governance.

Comprehensive Integrated Platform for Garbage Classification in Reduction, Innocuity, and Resource

Urban garbage collection in three steps and environmental monitoring have become an indispensable link in the green recycling economy of the country. In the process of explosive growth of cities and towns in China, the amount of waste is also expanded in the exponent growth, causing huge environmental and social problems. The current urban area commonly applies the strategy of "mixed collection, centralized transportation, centralized processing", commonly known as the three segment management to recycle and dispose of refuse, which can not effectively solve massive waste issues. This paper is based on the intelligent environmental protection and garbage classification technology to solve the inevitable problems of "sanitation digital management", "solid waste classification & recycling station real-time feedback", and "surrounding environment monitoring", so as to recycle of garbage efficiently and harmlessly. Our initial research results have been applied in the environmental protection projects in many demonstration cities and beautiful villages throughout the country, and good results have been achieved. Based on the research and rich engineering experience, we have proposed and optimized digital dynamic sanitation management, grid large-scale real-time monitoring of solid waste recycling stations feedback, the surrounding water and air quality on-line monitoring subsystems. To overcome difficulties and provide theoretical basis or technical methods, it will strongly support the extensive deployment of garbage recycling in China, and greatly improve the recycling rate of urban and rural waste.

Application of Multi-Sensor Image Fusion of Internet of Things in Image Processing

The perception layer of Internet of Things (IOT) consists of various sensors. It is the source of the IOT to identify objects and collect information. Information fusion collected from multi-sensor has been widely used in various fields, such as intelligent industry, intelligent agriculture, intelligent transportation, and intelligent environmental protection. In this paper, multi-sensor image fusion, multispectral (MS) and panchromatic (PAN) images, is studied, and the fused images are used in target detection, recognition, and classification. However, traditional methods based on an injection model generally consider the MS images as a whole to compute the spectral weights. They ignore the local information of MS images and produce some spectral distortions, because for different objects, the spectral response will be different. Therefore, we propose a novel multi-sensor image fusion based on application layer of IOT (IFIOT) to preserve the spectral information of MS images. In this method, local homogeneous areas are found first by superpixel segmentation. Due to good properties of superpixel, the homogeneous areas are uniform and contain only one kind of object. Then, we estimate the spectral weights for different bands on the homogeneous area. The injection gain has an important influence on fusion results. Therefore, we adaptively compute the gain coefficients by minimizing the error between the spectral degraded MS and PAN images. Finally, after the injection of spatial details obtaining from the PAN image, fused images are produced. Experimental results reveal that the IFIOT method can give good fusion results and the spectral information is preserved well.