Abstract

In this paper, we use wireless sensing technology to conduct an in-depth study and analysis of data-driven power energy equipment in the context of carbon neutrality. For the high-order uncertainty of renewable energy power generation and the nonlinearity of the tidal equation, a set of orthogonal bases under arbitrary probability space can be constructed by itself using the high-order information of renewable energy power generation statistics, and then, polynomials fit the state variables such as voltage in the tidal equation using the orthogonal bases and calculate the fitting parameters using the stochastic Gallatin integration method. Based on the analysis of the online monitoring project of the main power equipment in the substation, a substation power equipment condition monitoring system is designed to realize the real-time monitoring of the temperature status of power equipment, substation smoke and temperature, and humidity environment, and the feasibility and advanced of the system are verified by elaborating the analysis. Using wireless transmission to send real-time temperature information to the monitoring background, the infrared thermal imaging online monitoring system is designed around the front-end data acquisition system, transmission network, background data processing, and display module. Saving-investment equilibrium means that total investment equals total savings; government budget balance can be achieved through government savings or deficits. When both supply chain approaches enter into the same environmental competition, the added value that consumers value the product because of the carbon-neutral approach becomes smaller in the coefficient constraint of green effort investment cost due to the competition between the two supply chains, which in turn increases the green investment cost of the supply chain with the green effort carbon-neutral approach, indicating that in the case of competition, consumers, when faced with two products produced by two supply chains, are interested in the product with the carbon-neutral approach has less value-added, and some of the demand is shifted to the product not produced with the carbon-neutral approach.

Highlights

  • In the new round of global scientific and technological revolution and industrial upgrading, energy Internet has become the focus of competing development in the world, and accelerating the construction of energy Internet based on the smart grid is the necessary way to promote the common construction, cofinancing, and sharing of electric energy and the intelligent upgrading of the electric power industry, which is of great significance to enhance the competitiveness of equipment manufacturing industry [1]

  • Manual inspection requires a lot of workforce and time due to the large workload, and the quality of inspection is affected by subjective factors such Journal of Sensors as the work experience of operation and maintenance personnel, making the monitoring results unreliable

  • Based on the above factors, in the large-scale intelligent substation construction and transformation, real-time online monitoring of substation power equipment status comes into being, using practical sensing elements to continuously monitor power equipment in operation in real-time and obtain relevant data, and combined with certain expert system software to judge the operating status of the equipment and predict the remaining life of the equipment, to timely find the failure of power equipment precursors and provide data support for equipment maintenance [3]

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Summary

Introduction

In the new round of global scientific and technological revolution and industrial upgrading, energy Internet has become the focus of competing development in the world, and accelerating the construction of energy Internet based on the smart grid is the necessary way to promote the common construction, cofinancing, and sharing of electric energy and the intelligent upgrading of the electric power industry, which is of great significance to enhance the competitiveness of equipment manufacturing industry [1]. Based on the above factors, in the large-scale intelligent substation construction and transformation, real-time online monitoring of substation power equipment status comes into being, using practical sensing elements to continuously monitor power equipment in operation in real-time and obtain relevant data, and combined with certain expert system software to judge the operating status of the equipment and predict the remaining life of the equipment, to timely find the failure of power equipment precursors and provide data support for equipment maintenance [3]. Condition monitoring of power equipment can greatly reduce equipment failure during the maintenance period; provide the technical basis for equipment maintenance, timely discovery of equipment defects, and abnormal symptoms; ensure safe operation of equipment; and improve power supply reliability

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