KEYWORDS: Network architectures, Decision making, Data communications, Data modeling, Computer simulations, Instrument modeling, Power supplies, Power grids, Data transmission, Renewable energy
With the continuous development of distributed energy, the distribution network's demands for flexibility and operation efficiency are improving rapidly. Intelligent distributed network has the advantages of less pollution, high reliability, and high energy utilization, and is widely used in power systems. However, massive devices connected to the distribution network make the service data of the distribution network grow explosively and bring difficulties to the processing and decision-making. This paper proposes a Priority-driven Price Matching algorithm (PP-Matching) based on digital twins, making the cost of establishing matching between the device and the server with more conflicts higher by employing server bidding. Data simulation results show that the proposed algorithm can well solve the problem that the device is difficult to process and obtain service decisions in real time and improve the operation and maintenance management level of distribution network effectively.
Distributed optical fiber acoustic sensing (DAS) can serve as an excellent tool for real-time condition monitoring of a variety of industrial and civil infrastructures. This paper presents a belt conveyor roller fault abnormal monitoring method based on DAS, for the low accuracy and efficiency of the existing belt conveyor rollers fault detection. This method uses the Rayleigh Backscatter of coherent pulsed light to detect and reconstruct the fault signal, and proposes a method based on the combination of power spectrum features and peak detection to recognize and locate abnormal signals under intense background noise. The field test verifies the effectiveness of the real-time monitoring scheme of the industrial conveyor belt system, with a detection accuracy rate of over 87% for simulated fault signals, and a location accuracy of ±2.5 m. It provides a new passive distributed monitoring method for the all-weather structural health monitoring of the rollers in the industrial belt conveyor systems.
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