SIMULATION RESEARCH ON CARBON EMISSIONS TRADING BASED ON BLOCKCHAIN

Global warming caused by greenhouse gases is one of the problems that need to be solved urgently. Blockchain technology can achieve automatic quota certification and settlement, providing a new direction for carbon emissions trading. This paper provides a quantitative analysis of blockchain-based carbon emissions trading through the Repast simulation platform. Firstly, it designs the blockchain-based carbon emissions trading simulation framework from a macro perspective, including identity and quota certification, quota trading, risk prevention and smart contracts management. Then, it establishes a blockchain-based carbon emissions trading simulation model and formulates the behavior rules of the government, investors and company agents and market transaction processes. Finally, it simulates the carbon emissions trading based on public chain and private chain on the Repast platform, and analyzes the simulation results.

Study on the influence of structure shape of semi armour piercing warhead on vertical armour piercing efficiency

In order to evaluate the impact of different warhead shapes on the damage efficiency of semi armour piercing warhead effectively, four common semi armour piercing warhead models are established based on Solidworks, and the deck model is established with reference to the deck data of an aircraft carrier. And then the material setting and grid division are carried out based on Ansys so as to construct the explicit dynamic simulation model. The credibility of the model is verified based on the residual velocity theory after the model being established. Finally, based on the established model, the simulation research on the influence of warhead shape on vertical armour piercing ability is carried out. The results show that under the same velocity, the armour piercing ability of sharp oval and conical warheads are better and their residual velocity are higher.

Simulation research on high-speed motor current harmonic elimination methods

A large number of harmonics will be generated in the process of transforming high frequency and high voltage alternating current (AC) into a constant frequency and constant voltage through a power conversion system when the high-speed motor is used as a generator. The phase-shifting reactor is used to eliminate harmonics for high-speed generator power conversion systems, and LCL filter and adjustable inductance filter are used to eliminate harmonics for high-speed motor power supply system in this paper. The adjustable inductance filter can adjust the inductance value in time according to the change of the output frequency of the inverter. The results verify the effectiveness of the methods used, and provide a theoretical basis for the wide application of high-speed motor by simulation.

Application of Intelligent Sensor Algorithm in Student Management Information Fusion

In order to improve the effectiveness of college student management and promote the integration of college student management information, this paper applies intelligent sensor algorithms to student management. Moreover, this paper combines uncertainty theory with multisensor data fusion technology to establish a complete set of multisensor data processing tools for student information and provides a complete mathematical theoretical framework for the principles of student management information fusion. In addition, in view of the problem of comparing a large number of mixed data of information sources, it is necessary to transfer the information fragments obtained by each sensor to a common set so that the information fragments expressed in different sets can be integrated. Finally, this paper constructs an intelligent student management model and conducts research in combination with simulation experiments. Through simulation research, it can be known that the method proposed in this paper can effectively improve the effect of student management.

Simulation Research on Risks of Entrepreneurship Platform Organization Complex Network

The risks of entrepreneurship platform are considered one of the most significant factors that affect regional economic development. However, the complexity of the constitutive relationship and the dynamics of the research process have made it difficult for studies to analyse the evolution and risks from the quantitative perspective. According to the analysis perspective of complex networks, this study determined the coupling relationship between the entrepreneurship platform network structure and complex network model. With the results studied and described in the paper, this study had constructed a platform structure model portraying the evolution process of the platform structure under two types of risks by using the simulation method. Three main conclusions are being drawn from the study: Firstly, endogenous and exogenous risks showed substantial results in affecting the changes in microentities and network relationship of enterprises within the platform, causing the robustness of platform to risk to differ significantly. Secondly, based on exogenous risks, the robustness distribution scaling from highest to lowest among three types of platforms studied is hub-and-spoke > mixed > market. Lastly, based on endogenous risk, the robustness distribution scaling from highest to lowest among the three types of platform studies is market > mixed > hub-and-spoke.