Transformer substation noise remote monitoring and analysis method and system based on Internet of Things

Abstract

The invention discloses a transformer substation noise remote monitoring and analysis method and system based on Internet of Things. The transformer substation noise remote monitoring and analysis method includes the steps that noise spectrum data are collected in real time by noise sensors, the collected noise spectrum data are transferred to an output transfer device, and the noise spectrum dataare transferred to a cloud storage server for storage through a data transmission device; the noise sensors are arranged at noise source positions; when a data analysis platform requires to perform transformer substation noise analysis, the noise spectrum data are extracted from a database of the cloud storage server through the Internet of Things, based on the noise spectrum data, a transformersubstation scene model is used for calculating the size of substation space noise and two-dimensional and three-dimensional distribution analysis and three-dimensional virtual roaming display are carried out, and the noise exceeding condition of transformer substation boundaries and sensitive targets is judged by combining the limitation of an acoustic environment function category. The method canrealize remote monitoring and analysis of the transformer substation noise and provide an important basis for transformer substation noise emission control and environmental protection.

Description

technical field [0001] This application relates to the field of substation technology, in particular to a method for remote monitoring and analysis of substation noise based on the Internet of Things; it also relates to a remote monitoring and analysis system for substation noise based on the Internet of Things. Background technique [0002] Effective monitoring of substation noise helps to reduce noise emissions. At present, the technical solution for substation noise monitoring is real-time monitoring and real-time output. The noise value of each monitoring point is obtained by setting noise sensors at each monitoring point, and the noise The values ​​are transmitted to the data processing server, and the data processing server further outputs each noise value to the display screen for display. There is following technical defect in above-mentioned technical scheme: [0003] 1. The data storage capacity is small and cannot support big data analysis; [0004] 2. The noise...

AI Technical Summary

Problems solved by technology

[0003] 1. The data storage capacity is small and cannot support big data analysis;

[0004] 2. The noise sensor collects the equivalent A sound level of the monitoring point, and the equivalent A sound level is of little value in noise propagation and control calculations;

[0005] 3. Only the noise value of a limited number of monitoring points can be obtained, and the single noise value can be analyzed whether it exceeds the standard, but the noise analysis and prediction of the whole space of the substation cannot be carried out;

[0006] 4. Noise sensors are installed at each monitoring point where noise monitoring is required. If a large-scale noise distribution level needs to be mastered, a large number of monitoring probes and other hardware devices need to be installed, and the data that needs to be transmitted and processed is relatively large, resulting in cost High, low efficiency;

[0007] 5. The monitoring point is located at the boundary of the substation, which is easily affected by the noise of the external environment and cannot scientifically reflect the noise emission level of the substation;

[0008] 6. Only show the measured data output, monotonous abstraction

Images