Research on Leakage Current Waveform Spectrum Characteristics of Artificial Pollution Porcelain Insulator

China’s tailing pond online monitoring technology started late, and the tailing pond is located in a harsh working environment, for the limitations of traditional manual monitoring of tailing pond, combined with the actual situation of Zhenhua Mining tailing pond. This paper constructs a risk monitoring index system and online monitoring early warning model based on (Language Model - Back Propagation, LM-BP) neural network to quantitatively assess tailing pond safety risks and analyze and judge safety risk trends. We extracted common indicators of regional tailing ponds, combined with meteorological data to establish a regional safety risk assessment model, integrated vulnerability of disaster-bearing bodies, environmental sensitivity and other influencing factors, realized regional risk coupling analysis, and dynamically built a risk cloud map. Based on the perspective of safety risk prevention and control, the integrity and accuracy of monitoring data are analyzed, the causes of early warning are inverted, alarm disposal mechanisms are established, and closed-loop management of early warning is realized to provide scientific auxiliary decision-making support for tailing pond safety supervisors.

Section: Introductionmentioning

confidence: 97%

Analysis of quantitative management of online intelligent monitoring of tailing ponds based on the perspective of safety prevention and control

Zhang

et al. 2023

“…According to CCNNI, as of February 2021, the size of Chinese Internet users continued to increase, reaching 989 million, and the Internet diffusion percentage gained 70.4%, which shows that the Internet has basically integrated into people's lives. Senior Internet users are still mainly teenagers and youth groups [1]. Adolescents and youth groups are also the main body of ideological and political education, and their overall level of thought determines the behavior dynamics, and their behavior dynamics affects the dynamics of national development.…”

Section: Introductionmentioning

confidence: 99%

Optimization strategy of ideological and political education in colleges and universities based on modern information technology

Han

Zhao²

2023

Data-driven is an important thinking concept, technical resource and innovative method in the new era, which expands the way people think about, explain and deal with problems. Starting from reality, this paper adopts data-driven theory to provide technical support and scientific cognitive way for ideological and political education in new era colleges and universities, and explores data-driven optimization strategy for ideological and political education in colleges and universities. With the support of big data technology, data-driven ideological and political education in the new era explores the trajectory and laws of ideological and political education thoughts and behaviors, changes from attaching importance to result orientation to attaching importance to data prediction function, and changes from focusing on theoretical thinking to in-depth practice, which opens up a brand new idea for the research of ideological and political education in the new era.

“…Distributed power can satisfy the demand of specific users, and it can meet the demand of economical operation and reliability of the traditional distribution network. which can operate both grid-connected and transmit power directly to customer equipment [4]. Distributed power supply is an efficient and rational way to utilize renewable energy, such as renewable energy, clean energy, and new energy sources [5][6].…”

Section: Introductionmentioning

confidence: 99%

Study on the absorption technology of distribution network with high-proportion distributed power supply

Ding

2023

In order to reduce energy dissipation and alleviate the energy crisis, this paper proposes an absorption mode of distribution network with distributed power supply. First of all, the starting power coefficient and cutting off power coefficient are set to reflect the efficiency of the inverter and obtain the active output power of the photovoltaic system. Then, the Gaussian iterative algorithm is used to calculate the power flow of the distribution network, which forms a model along with the branch switch to complete the variables optimization under the conditions that all power conversion elements are removed from the system and the security constraint is satisfied. Afterwards, through the apparent power of the distribution network node, the single feeder is transformed into two feeders to ensure the fixed voltage at the front end of the line and make the node voltage rise and exceed the limit. Meanwhile, the active power and reactive power are provided for distribution network to reduce the feeders voltage loss, the reasonable regulation measures are used to stabilize the voltage, and the constant power factor and voltage amplitude of the network connection point are added to address voltage over limit and lighten the influence of increasing distributed power on voltage rising. Finally, the size of voltage amplitude is referred to determine the reactive power, so as to realize reasonable absorption of distribution network. The analysis results show that the voltage regulation measures proposed significantly improve the overall absorption capacity of the power supply, with the capacity increased by 0.54MW and 0.2MW respectively.