With the continuous increase in emphasis on the environmental protection industry, sewage treatment plants have been built in many places, and these sewage treatment plants undoubtedly occupy an important position in protecting the local environment. The sewage treatment process is generally complicated and the treatment environment is difficult, which means that the treatment plant must have an excellent control system. At this stage, the sewage treatment systems in many cities have the issue of possessing backward technology and huge costs, which hinder the development of urban sewage treatment. In this paper, a new intelligent control method for sewage treatment is proposed, combined with the multi-objective particle swarm optimization (MOPSO) algorithm. The MOPSO algorithm is used to optimize the parameters and control rules of the controller globally, thereby improving the performance and work efficiency of the controller. Practice has shown that the intelligent control system combined with the MOPSO algorithm can make chemical oxygen demand (COD) in the sewage treatment quickly meet the expected requirements, and the control accuracy is also very accurate, which greatly improves the sewage treatment performance. Through our calculations, the new method improved the sewage treatment efficiency by 7.15%.

Since entering twenty-first Century, with the continuous improvement of people's living standards, people's way of life has also changed greatly. Among them, online shopping is the most common way of life; it also promotes the development of China's express delivery industry. However, China's express delivery companies have just started, so it has not formed a complete system, which led to its internal chaos, pollution and other issues. And in our country to advocate energy conservation and environmental protection today, this kind of operation mode of express industry is inevitable contrary to the current low carbon economy in China's social development mode. To this end, in order to ensure the good operation of the courier companies, it is necessary to in-depth analyze the contradiction between the requirements of the low carbon economy and express the status quo, and then seek a suitable development model of the courier industry.

The competition of market economy becoming global，protecting environment and low carbon economy receiving more attention from people, manufacturing industry with big pollution in order to seek development must strengthen the reform of logistics management mode and green supply chain is the best choice. The Scientific incentive mechanism among the members of the green supply chain play an important role in the smooth running of the whole supply chain. It's the key for green supply chain to choose the reasonable supplier, in the existing management mechanism, taking the factors of sustainable development into account, improving the construction of incentive mechanism for the supplier. The Meaning and Characteristics of Green Supply Chain The Meaning. Supply chain take the core enterprise as the focus, to strengthen the capital flow, logistics and information flow control at the same time，from Procurement of raw materials to the end of the process of selling the product to the consumer，as to connect suppliers, manufacturers, retailers and consumers into a network. The Characteristics. Firstly, people facing resources, environment, population problem in today's society, green supply chain fully think about the top two problems In the process of the modern enterprise management mode striving to achieve the green enterprises of resource conservation, environmental protection. Second, green supply chain is based on the traditional chain At the same time, emphasizing the management goal, paying attention to the environmental factors, to achieve the minimum cost of the supply chain and the greatest economic benefits. Thirdly, the biggest feature of the whole process of green supply chain is closed, using the recycling technology, so that consumer goods in the end of its service life, once again join the supply chain system, to Let all or part of the parts to be recycled, so that it is conducive to reducing the adverse impact in the environment caused by the supply chain system, and promote the recycling of resources. The Fourth, throughout the entire life cycle of the product from production to consumption, the concept of green runs through the whole process, while reducing the negative effect of the environment, reducing the cost of the whole supply chain, so that the green supply chain in the management is more practical, integrated. In addition, the idea of globalization sustainable development requires the supply chain to run through the end. The Importance of Suppliers in the Green Supply Chain Management The increasing competitions in the market makes the life cycle of the product shorten, and the most fundamental is to keep the sustainable development of the supply chain for enterprise cluster. Social, environmental and economic responsibility for sustainable development playing an important role, more and more enterprises pay attention to upgrade core competence but for noncore resources in general bought from suppliers. So supplier management become the key of enterprise and plays a

No abstract

In computer vision, the detection and tracking of moving objects has become a hot topic today. The target tracking technology in this paper refers to the visual tracking of the ground moving target by the aircraft during the flight. Since both the aircraft and the target are moving, there are background and two motion vectors composed of the target and the background in the acquired image. Therefore, this paper proposed a research on the location and tracking of environmental pollution sources under multi-UAV vision based on the target motion model. This paper first introduced the UAV target tracking technology, and analyzed the development history and types of UAVs in detail. Then, based on the increasingly serious environmental pollution, this paper proposed to use UAV sensing technology to locate the pollution source. Finally, in the experimental part, this paper tested the UAV flight platform, and carried out the actual operation and positioning of the pollution source. The final experimental results showed that within 0 ~ 360 s, the attitude angle obtained by the gradient descent method had no divergence phenomenon, which could effectively reduce the error caused by the integration; the inclination angle deviation of the two groups of experimental equipment was within ±2.5°, the roll angle deviation was within ±3°, and the deviation angle was relatively large at some moments, but the average deviation was only 0.8°.