Traditional Operation Mode Research Articles

Investigation on optimization strategy of IoT operation mode based on blockchain

Under the call of the national scientific and technological power, the research in the field of sensor technology has made rapid progress. Many smart devices integrating various technical heights have entered the homes of ordinary people. Making these smart devices increasingly intelligent has greatly improved people’s lifestyles and even changed their lives. With the development of blockchain technology and the development of 5G communication equipment and applications, the industrial model of Blockchain and the Internet of Things can also become an important guide for the development of the Internet of Things. Therefore, this paper studies the optimization strategy of the IoT operation mode based on Blockchain. The research results have shown that the IoT operation mode based on Blockchain is superior to the traditional IoT operation mode in terms of node energy consumption, life cycle, and flux performance. Under the IoT operation mode of the Blockchain, the node energy consumption is reduced by about 1.19J on average, and the flux performance is increased by about 21 on average. This showed that the IoT operation model based on Blockchain is feasible.

Research on Optimization of Financial Performance Evaluation of Energy Enterprises under the Background of Low-Carbon Economy

The development of human society and the production and operation activities of enterprises have brought about global warming, resulting in frequent natural disasters. It has become the consensus of all countries in the world to develop a green and low-carbon economy. Under this background, enterprises, as the main body of economic activities, especially energy industry enterprises, should optimize and upgrade the traditional production and operation mode with high pollution, high consumption, and low output to a high-efficiency and low-pollution mode, and pay attention to the co-ordinated development of economic benefits, social benefits, and ecological benefits. Financial performance evaluation indicators have become the main basis for senior leaders of energy industry enterprises to make decisions and evaluate the low-carbon economic benefits of enterprises. This paper constructs a set of financial evaluation index systems of energy industry enterprises under the background of a low-carbon economy from four dimensions: profitability, asset quality, debt risk, and business growth. The analytic hierarchy process (AHP) is used to measure the comprehensive contribution of financial indicators of low-carbon production and operation. The purpose of this study is to provide scientific financial management decisions for energy enterprises to reduce costs and increase the efficiency and low-carbon operation under the background of a low-carbon economy. The research results show that the comprehensive evaluation index system after the traditional financial evaluation index of energy industry enterprises is integrated with the evaluation index of a low-carbon economy can help enterprises make more correct and effective financial decisions in the process of survival, development, and growth, and, at the same time, the financial evaluation index of a low-carbon economy should pay more attention to the indicators with a higher comprehensive contribution, so as to effectively promote the low-carbon operation efficiency of enterprise production, management, and sales. Compared with other research results, this paper innovatively constructs a financial management decision-making index system for measuring the low-carbon operation of energy enterprises in theory, which has important value in guiding energy enterprises to reduce costs and increase the efficiency and low-carbon operation in practice.

The application of business intelligence system based on big data in e-commerce data analysis

In the face of the rapid development of modern science and technology, in order to ensure that the commercial level is in line with The Times, we need to change the traditional operation mode, and fully apply the science and technology to the e-commerce data analysis. Nowadays, driven by the era of big data development, social process, bring new changes to daily life, consumption, such as electricity is a new product, as the latest business model in modern society, has an important impact on market development, want to ensure electricity enterprises can meet the demand of social development, then from the perspective of electricity data analysis, effectively grasp the market changes, so as to more effective to carry out subsequent work, to fundamentally improve the comprehensive competitiveness of electricity enterprises in the modern market. In view of this, in order that the article wants to ensure the smooth progress of the e-commerce data analysis work, it should start with the business intelligence system under the background of big data, and combine it to ensure the steady development of the e-commerce industry.

The Rise of Invisible Economy and its Philosophical Reflection

Since the new century, the progress of science and technology and the rational transformation of its achievements have brought about the rapid rise of intangible economy. The knowledge-based, image-based, programmatic, and branded nature of capital, as well as the spillover, sharing, and unstable ownership of products, are its prominent features. The rise of intangible economy has overturned the traditional economic operation mode in various fields such as economic structure, industrial pattern, organizational mode, and labor form, and has also triggered philosophical thinking about this new economic paradigm: data elements have become the first production factor with ontological significance, and the elasticity of labor mode has brought about the spiritual illusion of free and autonomous labor, and social polarization is rapidly intensifying.

Research on financial risk management under asset-light operation mode

As the competition among enterprises becomes more and more fierce, the shortcomings of the traditional operation mode of enterprises begin to appear. They all begin to try the transformation of light assets to reduce the pressure brought by procurement cost or labor cost. Asset-light enterprises focus on product research and development and marketing, and the rest of the business will be completed by suppliers in the form of outsourcing, but the corresponding risks also appear. The capital structure of asset-light enterprises has particularity, which makes it difficult to identify financial risks. How to identify, prevent and control financial risks is the focus of current asset-light enterprises. Taking Li Ning as an example, this paper studies its financial risk management under the asset-light operation, and puts forward targeted measures such as dispersing financing risks, strengthening the control of investment activities in advance, and strengthening the management of operational activities, so as to improve the financial risk management mechanism formulated by the enterprise.

Power System Relay Protection Based on Faster R-CNN Algorithm

The technology of relay protection in China's power system has gradually changed from the traditional operation mode to the development direction of informatization, intelligence, and automation. As a result, the role of relay protection in the power system has become more and more important. It brings higher requirements to the reliability of relay protection; effective reliability assessment of the relay protection system and the corresponding condition operation, minimize or avoid accidents, and ensure the safety of power grids. Starting from the operating characteristics of relay protection, it is suitable for practical engineering applications. Aiming at the problems of low work efficiency and low inspection quality in manual inspection of relay protection pressure plate switching state, The Faster R-CNN image processing algorithm will be come up with. This method uses grayscale, binarization and filtering techniques to preprocess the platen photos, and uses RPN.

Scheduling Optimization of Mobile Emergency Vehicles Considering Dual Uncertainties

Compared with the traditional operation mode of emergency vehicles, the mobile emergency vehicle is regarded as a new type of emergency facility carrier with the features of variable locations, flexible mobility, and intelligent decision-making. It can provide an effective solution to reasonably respond to the uncertain risks of sudden disasters. Focusing on meeting the maximum demand for materials and services in disaster areas, this paper proposes a scheduling model of mobile emergency vehicles with dual uncertainty of path and demand. The model, solved by an integer-coding hybrid genetic algorithm, aims to obtain minimum mobile emergency scheduling cost and time by transforming the multi-objective problem into a single-objective problem. The “5.12” Wenchuan earthquake is used as an example to validate the model and solving method. The results show that the model can reduce the impact of uncertain risks and improve the scientific logic of emergency strategies and deployments based on the actual crisis scenario. It benefits from introducing mobile emergency vehicles and optimizing their scheduling process.

A multi-objective optimization model for the coordinated operation of hydropower and renewable energy

The rapid growth of wind and solar energy sources in recent years has brought challenges to power systems. One challenge is surging wind and solar electric generation, understanding how to consume such generation is important. Achieving the complementarity of hydropower and renewable energies such as wind and solar power by utilizing the flexible regulation performance of hydropower is helpful to provide firm power to help renewable energy consumption. However, the multi-energy complementary operation mode will change the traditional hydropower operation mode, causing challenges to the comprehensive utilization of hydropower. In this paper, a multi-objective optimal scheduling model is built by considering coordinated hydro-wind-solar system peak shaving and downstream navigation. First, the Gaussian mixture model is adopted to quantify the uncertainty of wind and solar power. Then, a hydro-wind-solar coordinated model was built to obtain the standard deviation of the residual load and the standard deviation of the downstream water level. Finally, the ε-constraint method is used to solve for the Pareto optimality. The results demonstrate the following: 1) The proposed model can effectively determine hydropower output schemes that can coordinate wind and solar power output to reconcile peak shaving and navigation; 2) The downstream hydropower stations’ reverse regulation of the upstream hydropower station is a positive factor in reconciling conflicts; and 3) Reasonable planning of wind power and solar power is helpful for hydro-wind solar power complement operation.

Multi-objective and two-stage optimization study of integrated energy systems considering P2G and integrated demand responses

To explore the influencing factors of the integrated benefit (IB) index of integrated energy systems (IESs) and the best energy supply mode, we constructed a two-stage optimization model for planning allocation and operation scheduling. First, according to the structural characteristics of the energy demand load combined with the operation characteristics of each piece of equipment in the IES, a refined capacity allocation constraint model was constructed. Second, an IB optimization model with economic, environmental, and energy benefits as the optimization objectives was established. Then, by analogy with the price-based demand response (PBDR) and incentive-based demand response (IBDR) of the power system, an integrated demand response (IDR) model covering cooling, heating, electricity and gas was constructed. Finally, a citizen service center in Hebei Province, China, was used as a simulated example. The scientific capacity allocation of each device of the IES improved the economic efficiency by 14.8%. Compared with the traditional operation mode, the economic benefits of the multi-objective optimization (MOO) operation mode were increased by 2.97% and 3.42%, respectively. After further introducing the IDR, IB increased to 20.55 and 20.46%, and the effect of IBDR was better.

The Impact of Digital Economy on Circulation Efficiency: Empirical Evidence from China's Postal Industry

With the rapid development of digital technology, the traditional economic operation mode has been completely changed. Digital economy has become a new driving force for world economic growth. In the context of the new development model, accelerating the development of digital economy, deepening circulation reform and improving circulation efficiency have important theoretical and practical significance for stabilizing the national economic cycle. In order to explore the influence of the development of digital economy on the efficiency of circulation industry, this paper firstly expounds the basis of dividing the circulation industry from the theoretical level based on Marx's circular economy theory, and puts forward the mechanism of the influence of digital economy on the circulation efficiency. The DEA-Malmquist model is used to calculate the productivity of the total factors of the postal industry to represent the circulation efficiency. The regression results show that the development of digital economy has significantly improved the circulation efficiency of China's postal industry.

Students of the Medical College against the background of three other faculties of the Jan Kochanowski University in Kielce

The need to limit people-to-people contacts during the COVID-19 pandemic introduced the need for distance learning at universities. After two years of pandemic restrictions, we decided to check the opinion of medical students and three other faculties on the conducted classes and compare groups with each other. We conducted a survey research based on standardized questionnaire which included 306 students from four faculties of the Jan Kochanowski University in Kielce – Faculty of Law and Social Sciences (1), Medical College (2), Faculty of Exact and Life Sciences (3), Faculty of Pedagogy and Psychology (4).
 Students did not differ in the assessment of most types of classes conducted in a virtual form. The exceptions were virtual meetings in a group of students, which were better assessed at the faculty no. 1 compared to 2 and 4. Students of Medical College faculty differed in terms of assessing level of distance learning and their own involvement. Their ratings on these two issues were the lowest among the four groups. The students of individual faculties did not differ in terms of assessing the effectiveness of the elements of education in the traditional and remote modes of operation.
 
 The subjective assessment of distance learning by students from various faculties shows subtle differences. The transition to distance education resulted in a decline in the involvement of medical students in their education and a subjective decrease in quality of teaching comparing to other faculties. This opinion may be taken into account when adapting curricula and selecting the type of classes to be conducted in the course of distance or hybrid learning.

Fully integrated downstream process to enable next-generation manufacturing.

Next-generation manufacturing (NGM) has evolved over the past decade to a point where large biopharmaceutical organizations are making large investments in the technology and considering implementation in clinical and commercial processes. There are many well-considered reasons to implement NGM. For the most part, organizations will not fund NGM unless the implementation benefits the funding organization by providing reduced costs, reduced time, or additional needed capabilities. Productivity improvements gained from continuous purification are shown in this work, which used a new system that fully integrates and automates several downstream unit operations of a biopharmaceutical process to provide flexibility and easy implementation of NGM. The equipment and automation needed to support NGM can be complicated and expensive. Biopharmaceutical Process Development considered two options as follows: (1) design its own NGM system or (2) buy a prebuilt system. PAK BioSolutions offers a turn-key automated and integrated system that can operate up to four continuous purification stages simultaneously, while maintaining a small footprint in the manufacturing plant. The system provides significant cost benefits (~10× lower) compared with the alternative-integration of many different pieces of equipment through a Distributed Control System that would require significant engineering time for design, automation, and integration. Integrated and Continuous Biomanufacturing can lead to significant reductions in facility size, reduced manufacturing costs, and enhanced product quality when compared with the traditional batch mode of operation. The system uses new automation strategies that robustly link unit operations. We present the optimized process fit, sterility and bioburden control strategy, and automation features (such as pH feedback control and in-line detergent addition), which enabled continuous operation of a 14-day end-to-end monoclonal antibody purification process at the clinical manufacturing scale.

Does the development of digital finance curb carbon emissions? Evidence from county data in China.

Reducing carbon emissions is the key to fulfilling the "double carbon commitment" and promoting the green transformation of the economy. The financial sector is the forerunner of change in economic development. The rapid development of digital finance has disrupted the traditional financial operation mode and has had a significant impact on economic development and environmental quality. This paper explores the impact of digital finance development on carbon emissions using carbon emission data from 2011 to 2017 in China's counties and combining it with the Digital Inclusive Finance Index of Peking University. The findings are as follows: (1) The development of digital finance can curb carbon emissions, and this causal relationship still holds through a series of robustness tests. The greater the carbon emissions, the better the carbon suppression effect of the development of digital finance. (2) When regions face strict financial regulation and environmental constraints, the development of digital finance can be more effective in reducing carbon emissions. The existence of a digital divide in general can weaken the disincentive effect of the development of digital finance on carbon emissions. (3) The development of digital finance can promote the development of green finance, enhance the level of green technological innovation, improve green total factor productivity, and transform energy structures, thus curbing carbon emissions. This paper not only enriches the literature on the development of digital finance and the environment but also provides a reference for government departments to improve the development strategy of digital finance and achieve "carbon peaking and carbon neutrality."

Evolution and Prospect of Home Work Research of Compulsory Education Students in China under Double Reduction Policy

Now, our country has promulgated and implemented the double reduction policy for the excessive homework pressure of primary and secondary school students. This policy aims to reasonably and effectively solve the problem of extreme homework pressure on primary and middle school students to a certain extent. In the implementation process of the double reduction policy, in reducing the burden of students, they focus on how to reduce the burden of homework for primary and middle school students. Therefore, based on the double reduction policy, the school has significantly reformed this part of the students' homework. To design the assignment under the double reduction policy, we should design stratified tasks to enrich the form of reading and reflect the personalized differences of students. Compared with the traditional operation mode, the changes in the operation mode under the double reduction policy. Moreover, from the school, teachers, and parents three aspects of the current situation and solve the existing problems—some suggestions on reducing parents' stress when reducing children's homework burden.

Research on safety evaluation of assembly building construction by integrating entropy power method and network analysis model

Unlike the traditional construction mode of rough operation, assembly building construction implements the concept of green development in terms of energy consumption and environmental adaptability. Although assembly construction can effectively reduce construction energy consumption and improve the environmental resilience of building construction work, there is an urgent need for an effective safety assessment model for construction development due to the imperfect operation system and harsh construction environment in the construction industry. Therefore, the study analyzes the relationship of construction safety factors by using Analytic Network Process (ANP) to filter safety evaluation indexes according to the importance ranking. At the same time, the objective weights of safety indicators were determined by the entropy weight method, and the subjective weights determined by the ANP method were combined to construct the safety evaluation model for the construction of assembled buildings. The experiment shows that the maximum similarity between the comprehensive evaluation results of the model in the simulation of safety evaluation of high-rise residential construction and the actual evaluation criteria is 0.772. The experiment proves the reliability of the evaluation of the model, which reduces the safety loopholes and operation hazards for the construction of assembled buildings.

Intelligentization of wheel loader shoveling system based on multi-source data acquisition

To effectively reduce the operation intensity of drivers, it is essential to research the intelligent operation for various stages of loaders. The traditional operation mode of the loader requires the driver to manually complete the high repeatability and frequency operation of various stages, which makes the energy-saving characteristics of the loader particularly affected by the driver. Hence, this paper proposes intelligent operation methods for various stages of loaders based on the extraction and analysis of multi-sourced data characteristics of the experiment. Specifically, the automatic adjustment of the working device attitude in the shoveling stage is achieved. During the loading and unloading stages, the working device can be automatically lifted to the memorized angle, and the bucket can also be automatically leveled. The intelligent operation method solves the problem that the loader requires the driver to work with high intensity for various stages and improves the economic aspects.

Design and Application of Integrated Dispatching Communication Network for Intelligent Hydropower Stations

5G has changed the society. Its rich vertical industry applications have changed the traditional operation and maintenance mode of hydropower stations, created a customized "industry private network" for hydropower stations, met the needs of power station intelligence, further improved the hydropower station's ability to independently control its own business and operating efficiency, and created a new intelligent, safe and efficient power station.

ПІДВИЩЕННЯ ЧУТЛИВОСТІ ДОПЛЕРІВСЬКОГО МІКРОХВИЛЬОВОГО СЕНСОРА РУХУ

The paper considers a method of increasing the sensitivity of a microwave motion sensor based on the Doppler Effect, based on the application of amplitude manipulation of electromagnetic vibrations reflected from a moving object. A microwave motion sensor based on an integrated antenna-oscillator is described, in which amplitude manipulation of the information signal is implemented due to the amplitude manipulation of the reflected oscillations, followed by signal processing at the frequency of the manipulation, which allows reducing the effect of the sensor's own noise on the information signal. The results of an experimental study of such a microwave sensor are given, in which the level of noise and internal interference is approximately 20 dB lower compared to the traditional autodyne mode of operation of the same sensor.

Research on Intelligent Anti-misoperation of Operation Ticket in Urban Distribution Network

The traditional anti-mischeck mode of regulation and control operation relying on the experience of dispatchers can no longer meet the needs of daily work. To solve the problems of poor actual operation effect and low anti-misoperation efficiency of the traditional anti-misoperation method due to the large number of tasks of the current distribution network, this paper optimizes the traditional anti-misoperation method and takes the distribution network of M power supply company as an example to design a new intelligent anti-misapplication method of operation ticket. First of all, this paper uses intelligent distribution network maintenance technology to overhaul the distribution network operation ticket application server in an all-round way. Based on real-time analytical constraints, combined with the power supply demand of urban distribution networks, this paper designs an intelligent anti-misoperation constraint mechanism for operation tickets. The experimental analysis shows that after the application of the proposed anti-error method, the qualified rate of the operation order scheduling tasks is more than 95. 6% and the error rate is less than 1. 1%, which shows that the anti-error method proposed in this paper has significant advantages and high feasibility.

Study on the characteristics of the potential rise of shell under VFTO in the GIS pumped storage power station

Compared with the traditional GIS station, complex wiring and operation mode of pumped-storage plant diversity, working condition of frequent transformation, makes the plant to produce very fast transient overvoltage (VFTO) probability increase greatly. VFTO will form a transient coupled to the GIS shell casing transient earth voltage (TEV), and then to station personnel safety and the reliability of the secondary equipment poses a great threat. But at the moment because of the limitation of testing technology such as understanding of the academic study of TEV is lack of system. Based on a typical 500 kV gis pumped-storage power station, this paper established a system equivalent model of GIS, network frame and calculates the amplitude, frequency spectrum characteristic of the TEV and influence on VFTO characteristics, and analyzes the fault location, power supply mode, branch bus, the influence of vertical grounding electrodes on the TEV characteristics, For the characteristics of the TEV rules and parameters. Research on TEV characteristics of GIS of pumped storage power station has important reference value for further perfecting relevant theories.