To meet the needs of the development of new energy sources and demand ,this paper introduces a kind of piezoelectric power generation system design, describes the constitution of a piezoelectric power generation system, and emphatically introduces piezoelectric brick, power conversion and collection system, monitoring system design of the road piezoelectric power generation system. Finally the actual operation results are analyzed and studied. This design has the advantages of energy saving, green and pollution-free which has good development prospect.
With the increasing number of equipment in the information room, the timed patrol inspection by duty personnel alone cannot effectively monitor the entire room environment in real time, and there are large potential safety risks. This paper introduces the technical scheme and construction scheme of power environment monitoring system for information room of Siping Power Supply Company, Jilin Province Power Co., Ltd. Through the construction of the system, unified operation monitoring of all equipment in the information room is achieved. Once the system is applied, and once a fault is found, the system will send an alarm signal to the on duty personnel at the first time. It also informs operation and maintenance personnel by SMS to handle the malfunction in time, so as to ensure the safe and stable operation of the information room equipment and system.
This paper investigates the energy efficiency of energy harvesting (EH) bidirectional cooperative sensor networks, in which the considered system model enables the uplink information transmission from the sensor (SN) to access point (AP) and the energy supply for the amplify-and-forward (AF) relay and SN using power-splitting (PS) or time-switching (TS) protocol. Considering the minimum EH activation constraint and quality of service (QoS) requirement, energy efficiency is maximized by jointly optimizing the resource division ratio and transmission power. To cope with the non-convexity of the optimizations, we propose the low complexity iterative algorithm based on fractional programming and alternative search method (FAS). The key idea of the proposed algorithm first transforms the objective function into the parameterized polynomial subtractive form. Then we decompose the optimization into two convex sub-problems, which can be solved by conventional convex programming. Simulation results validate that the proposed schemes have better output performance and the iterative algorithm has a fast convergence rate.
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