Remote Monitoring System for Fused Magnesium Furnace Electricity Demand
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Solution Overview
Problem
Current monitoring methods for electricity demand in fused magnesium furnace groups are inefficient and lack remote monitoring capabilities, leading to high punitive electricity fees and potential safety issues due to excessive demand, which affects both production efficiency and electric network stability.
Innovation Solution
A remote monitoring system comprising a data acquisition device, local PC, cloud server, and remote PC, utilizing voltage and current transformers, active power transducers, and slave computers to collect, process, and transmit data for real-time electricity demand monitoring and control, enabling remote guidance and reducing peak-valley differences in electric network load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring means are used in substations, then monitoring personnel can directly observe electricity demand, but monitoring efficiency is low and work intensity is high
Solution Approach 1:
The system uses automated data acquisition devices, slave computers, and cloud servers to perform monitoring tasks without human intervention. The slave computers automatically collect electricity demand data from the substation, process it through the cloud server, and generate monitoring reports, enabling the system to serve itself and eliminating manual monitoring work.
Solution Approach 2:
The patent replaces manual mechanical monitoring operations with an automated electronic system consisting of data acquisition devices, voltage and current transformers, slave computers, and cloud-based processing. This substitution transforms the mechanical act of manual observation and recording into an automated electronic data collection and processing system.
2Adaptability or versatility
If managers cannot perform long-distance on-line monitoring, then local monitoring can be maintained, but remote guidance capability is lost
Solution Approach 1:
The cloud server acts as an intermediary between the local substation monitoring system and remote managers. It receives electricity demand data from slave computers via the Internet, processes and stores the information, and makes it accessible to remote users, thereby enabling long-distance monitoring without direct connection between the substation and remote offices.
Solution Approach 2:
The system extends monitoring capability from the local physical dimension (substation) to the remote digital dimension (Internet-based access). By utilizing the Internet as a transmission medium, the system allows managers to access real-time electricity demand information from any location, adding a spatial dimension to the monitoring capability.
3Productivity
If electricity demand exceeds maximum allowable value, then production can continue, but punitive electricity fees increase and network stability is affected
Solution Approach 1:
The system continuously monitors electricity demand and provides real-time feedback to managers through the cloud server. When demand approaches or exceeds maximum allowable values, the system alerts managers who can then adjust production schedules or operations to avoid excessive demand charges, creating a closed-loop control system that prevents harmful outcomes.
Solution Approach 2:
The monitoring system detects when electricity demand is approaching maximum allowable limits before actual penalties are incurred. This early warning allows managers to take preliminary actions such as scheduling maintenance, adjusting production rates, or optimizing furnace operations to prevent exceeding demand thresholds and incurring punitive fees.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system allows for timely and efficient remote monitoring and management of electricity demand, reducing production costs, improving yield, and minimizing the impact on the electric network, thereby avoiding excessive demand penalties and ensuring network stability.
Implementation Method 1
the voltage transformer is used for converting three-phase high-voltage AC signals on the secondary side of the main transformer of the fused magnesium furnace group into three-phase low-voltage AC signals which can be received by the active power transducer according to a voltage ratio
Implementation Method 2
the current transformer is used for converting A and C two-phase high-current AC signals on the secondary side of the main transformer of the fused magnesium furnace group into A and C two-phase low-current AC signals which can be received by the active power transducer according to a current ratio
Implementation Method 3
the active power transducer is used for converting the three-phase low-voltage AC signals and the A and C two-phase low-current AC signals into DC signals representing the power of the main transformer
Data Source
AI summary
A remote monitoring system and method for electricity demand of a fused magnesium furnace group. The system has a data acquisition device, a local PC, a cloud server and a remote PC. The data acquisition device has a voltage transformer, a current transformer, an active power transducer, a first slave computer, a plurality of multi-purpose electronic measuring instruments and a second slave computer. The method includes acquiring smelting current and smelting power of each fused magnesium furnace and electricity demand of the furnace group, controlling the switch off/on of each fused magnesium furnace according to the smelting current and the smelting power of each fused magnesium furnace and the electricity demand of the furnace group, sending basic monitoring data to the local PC, and achieving data exchange between the local PC and the remote PC through the Zookeeper technology.