Exploring Chinese enterprise innovation ecosystem health: a dynamic evaluation method

Scientific dynamic evaluation of the power load supply capacity of thermal power units is crucial for the safe and economic dispatch of the power grid. This article constructs an evaluation index system for the power load supply capacity of thermal power units. A dynamic evaluation and correction method for the power load supply capacity of thermal power units is proposed based on entropy weight method, analytic hierarchy process, and differential theory, and case calculations are conducted using basic data from three thermal power units. Research has shown that for every 0.1 increase in equipment reliability indicators, the average power supply capacity increases by 1.2 - 3.5 percentage points. And optimizing coal quality indicators by 0.2 units can increase power supply capacity by 3.9 - 6.8 percentage points. The work done in this article has certain reference value for improving the power guarantee capability of thermal power units.

In order to improve the ability of the modular multi‐level converter to quickly clear and isolate faults in the multi‐terminal flexible DC grid, this paper analyzes the characteristics of current faults in the multi‐terminal flexible direct current grid, introduces the comprehensive distance of current fault waveform, and proposes a line protection method based on the similarity of current fault waveform. This protection method firstly uses Euclid Dynamic Time Warping (DTW) distance and entropy weight method to process electrical quantity signals, calculates the comprehensive distance of current fault waveform of two converter stations, and builds the protection criterion based on the similarity of current fault waveform. Then, the fault identification is realized by using the calculated comprehensive distance, and the fault pole identification is realized by using the ratio of comprehensive distance between positive and negative poles. Finally, PSCAD was used to build a simulation model to output the fault data under different fault conditions, and MATLAB was used to process the fault data to verify the protection algorithm. The simulation results show that the proposed method has good resistance to high resistance, and its rapidity and adaptability are further improved. Compared with other similarity methods, this method combines Euclidean DTW distance and entropy method to process the signal, realizes the fault pole identification, and can still operate correctly under the interference of 500 Ω transition resistance and 20 dB noise ratio. The research results will provide a theoretical basis for the safe and reliable operation of flexible DC power grid.

The transformer state evaluation involves a lot of indexes and fuzzy classification of state grade. In order to improve the accuracy and efficiency of transformer fault diagnosis and evaluate the state of transformer reasonably, a transformer state evaluation based on entropy weight and TOPSIS method is proposed. Firstly, the transformer state evaluation index system is established, and the entropy weight method is used to mine the data information of transformer dissolved gas in insulating oil under different conditions to determine the weight of each index; At the same time, TOPSIS method is used to obtain the closeness of quantitative index to each state grade of transformer, and finally the evaluation result is determined according to the closeness. The experimental results show that the evaluation results of the transformer based on the key index system established in this paper are consistent with the actual running state of the transformer compared with the results of the SVM method and the IEC three ratio method, which proves the effectiveness of the method.

We explore how a dynamic weighted method with SVM works well for a Chinese word segmentation task. We set up two systems, System1 uses the uniform weight and we take it as our baseline system, System1 uses the dynamic weighted method as we proposed. We compare the performance of the two systems under different experiments conditions, and experiments results show that System2 got an outstanding performance in every condition we tested. It indicates that the dynamic weighted method we proposed has a stronger performance and can be used in many other SVM task such as chunking, POS and so on. At last, we describe a trick that can calculate the segmentation precision ratio and recall ratio for a segmentation task as soon as the end of the training or test process of a SVM procedure at essentially no extra cost.

Previous studies of operating performance of listed companies usually adopt static comprehensive evaluation method but not dynamic evaluation method. Besides, the evaluation information is aggregated in a simple weighted method, without integration of management tool. Considering these two deficiencies, this paper puts forward a dynamic incentive evaluation model and applies it in the comprehensive evaluation of the operating performance of listed companies. The paper first introduces dynamic incentive evaluation model, and then carries out an empirical study, using the annual reports data (2005-2009) of 13 refrigeration and air-conditioning industry listed companies. The results indicate that, compared with the evaluation results of traditional static method and dynamic method, the evaluation results of dynamic incentive model can reflect the operating performance of listed companies more objectively and comprehensively. Thus this model achieves good evaluation effect and has practical value.

Wang, H. and Yue, P., 2020. Short-term traffic flow prediction of coastal cities based on entropy weight method. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 739–743. Coconut Creek (Florida), ISSN 0749-0208.The traditional short-term traffic flow prediction method has a high prediction error, so a short-term traffic flow prediction method based on entropy weight method is designed. First, identify the lost data, use the weighted average value of historical trend data and measured data to modify, and standardize the original data to collect the short-term traffic flow data of coastal cities. Then, statistical analysis of the original data set, using the minimum maximum standardization method, linear transformation of the original data, and extract the characteristic factors that affect the traffic flow. Finally, based on the correlation of traffic flow at urban intersections, the short-term traffic flow prediction of coastal cities is completed by using entropy weight method. In the experimental part, the prediction errors of the two methods in the period of 7:00-9:00 and 22:00-24:00 are compared. The comparison results show that the prediction errors of the short-term traffic flow prediction method based on entropy weight method in the period of 7:00-9:00 and 22:00-24:00 are small, which proves that the prediction method of this design has practical application significance.

At present, complex electromechanical systems are widely used in modern society. By evaluating complex electromechanical systems, it is of great value to improve and upgrade them. Given the complex and interrelated characteristics of performance indicators, this paper establishes the performance evaluation indicator system of a complex electromechanical system, proposes to calculate the weight of each indicator by an improved analytic hierarchy process, revises the indicator weight by entropy weight method, and then adopts fuzzy synthesis evaluation method to evaluate the comprehensive effectiveness of a complex electromechanical system quantitatively. Through the example analysis, it is proved that this method provides an effective way for the effectiveness evaluation of complex electromechanical systems.

Aiming at the fuzzy and random problems in the process of power quality evaluation, a multi-dimensional and multi rule dynamic weighted power quality cloud evaluation method is proposed on the basis of considering the dynamic characteristics of power quality evaluation indexes. Firstly, we construct a comprehensive evaluation system of power quality, and also establish a reverse cloud model of each qualitative evaluation index of power quality. Then, the multi-dimensional and multi rule dynamic cloud generator of power quality evaluation is constructed by combining different antecedent cloud and consequent cloud with dynamic weighting of evaluation index, and a reasoning framework and algorithm are designed to analyze the uncertain mapping relationship between each evaluation index and quality level in the value domain. The distribution of space and certainty space completes the mapping transformation from quantitative input to dynamic reasoning, and then to quantitative output. The feasibility and effectiveness of the new comprehensive evaluation method for power quality are proved by the comparative analysis of examples, which provide a new idea and method for the efficient evaluation of power quality.

Dynamic evaluation method of water-sealed gas for ultra-deep buried fractured tight gas reservoir in Kuqa Depression, Tarim Basin, China

Low back pain of caregiver has serious problem in welfare field. Transfer motion is thought as a cause of the low back pain, and it is necessary to reduce the lumbar burden. Also practical quantification method of lumbar burden is required strongly. This study aims to develop a practical and dynamic evaluation method of lumber burden by measuring surface muscle potential of the Erector spine muscle. This study delas with transfer motion and divide it into three motions, "lifting motion", "rotation a motion" and "unloading motion". Experiments have been conducted to show that "lifting motion" and "rotation a motion" can be evaluated by the surface muscle potential of the erector spine muscle by previous studies. This paper focuses on the "unloading motion" and, the relationship between the load and the "surface muscle potential of the erector spine muscle" is confirmed by experiments. It is also shown that the lumbar burden during "unload motion" is possible to be evaluated by using the surface muscle potential. In addition, this study evaluates, whether dynamic evaluation by using the proposed evaluation method is possible. Because caregivers are required to slow down during the "unoad motion", inertial force increass the load during decelerated motion. For an example, a dynamic evaluation in the case of deceleration during the "unloading motion" were confirmed by experiments. Conducting experiments, we found that the value of the potential of the surface of the erector spine was increased during slow down motion. This result indicates that the lumbar burden can be increased by decelerated motion. This study showed the effectiveness of the dynamic evaluation method by surface muscle potential.

Experiment and optimization of a damping structure system with distributed multiple unidirectional single-particle dampers

In order to explore the relationship between water resource security and regional economic growth, the Yellow River Basin was taken as the study area, and a relationship model between water resource security and regional economic growth in the Yellow River Basin based on the entropy weight method was constructed. After investigating the geographical location, changes in water resources, and economic status of the study area, combined with the principle of coupling coordination in water resources and economic systems, the Yellow River Basin water resources security index system was constructed based on the five aspects, including water resources characteristics, water supply facilities, and water resources management capacity and regional economic growth index system was constructed based on survival and development poverty two aspects. The entropy weight method was used to measure the variation degree of the indexes, and the information entropy was used to calculate the weight of each index. The TOPSIS method can be applied in optimizing the coupling algorithm and building a coupling coordination relationship model. Based on the coupling coordination index, the relationship between water resources security and regional economic growth in the Yellow River Basin was analyzed. The results show that the model analysis results can reflect the actual situation of water resources security and regional economic growth in the Yellow River Basin and show that there is a high degree of coupling between water resources security and regional economic growth in most provinces (cities). The cities showing extreme coupling relationships are mainly distributed in the economic zones, including Henan, Ningxia, Shanxi, and Gansu, and the cities showing moderate coupling relationships are mainly distributed in Xining and Tibetan Autonomous Prefectures. At the same time, policy suggestions are put forward based on the relationship between water resources security and regional economic growth in the Yellow River Basin.

A safety evaluation method based on an entropy weight method is proposed that is aimed at the features of heavy-duty computer numerical control (CNC) machine tools, such as long-life cycle, complex structure, high cost and many hidden safety risks. According to the risk sources of each phase of the total life cycle, the expert-scoring table is formulated and the process of experts' scoring is developed from the perspective of a “man-machine-environment-workpiece” system. Considering the differences in the experts' scoring, an entropy weight method is used to calculate the weight of each expert at each phase of the total life cycle. The proposed method is applied to the XKA28 heavy-duty CNC gantry milling machine, and the safety evaluation is implemented. The results indicate that the proposed method is feasible.

The Ebinur Lake Basin is an important ecological area in China. The sustainable development of the basin is imperative, particularly the coupling and coordination between the agro-ecological environment and economy. Six counties in the Ebinur Lake Basin were studied and CRITIC—the entropy weight method used in the construction of regional agro-ecosystem and economic evaluation index systems for 2001–2021. The entropy weight method and coupling coordination were used to evaluate and analyze the systems. The results indicate that: (1) The integrated index grew slowly, increasing from 0.15 in 2000 to 0.18 in 2020. The agro-economic integrated index grew rapidly, increasing from 0.08 in 2000 to 0.25 in 2020. (2) High quality coupling was achieved from 2000 to 2010, with 50% superior coupling in 2010, which then decreased to reach 17% in 2020. (3) The agro-ecological–economic system coupling was high at 0.8; however, the coordination degree was low, at 0.36. (4) Most counties suffered from economic lag before 2010, with an average Ue/Us of 0.93 in 2010. Ecological lag has dominated since 2010, and the average Ue/Us value reached 1.48 in 2015. Coupling and coordinating the agro-ecological and economic systems is important for the sustainable development of local agriculture.

At present, the low-altitude economy, as a strategic emerging industry, serves as a pivotal driver of economic growth, technological innovation, and social service enhancement. In order to better assess the development of the low-altitude economy in different regions of China, this paper proposes a low-altitude economic development index based on the entropy weight method. First, following the principles of scientificity, systematicness and practicality, a 3X3 pyramid-shaped evaluation system is constructed; Then, the data will be preprocessed using the box plot method and the supplementary method; Finally, the entropy weight method was used to calculate the results of the low-altitude economic development index for different regions. The results showed that provinces in the eastern coastal region scored high, while those in the central and western regions lagged behind. The method can provide more targeted advice for policy-making and industrial development.