Method, device, equipment and system for accurately metering on-duty energy consumption of team and group and medium

Abstract

The invention provides a team on-duty energy consumption accurate metering method, device, equipment, system and medium. The method comprises the following steps: acquiring an on-site electric power parameter signal and converting the signal into corresponding energy consumption data; determining on-duty time and off-duty time corresponding to one or more teams through the real-time clock signal; and accumulatively metering the energy consumption data corresponding to each team in the respective on-duty time and off-duty time, and respectively storing the energy consumption data. According to the application, automatic acquisition, accurate metering and partitioned storage of team energy consumption can be realized, independent accumulation of team energy consumption is automatically started when a team is on duty, metering is automatically ended when the team is off duty, and energy consumption data of each team is partitioned and independently stored, so that the real-time performance and accuracy of the data are ensured, accurate data are provided for enterprise energy consumption analysis, The method guides enterprises to use energy scientifically, improves the energy consumption efficiency of the enterprises, and saves the energy consumption cost of the enterprises, thereby promoting the construction of low-carbon economy and green economy.

Description

technical field [0001] This application relates to the field of scientific management of energy consumption, in particular to a method, device, equipment, system and medium for accurate measurement of on-the-job energy consumption of a team. Background technique [0002] With the rapid development of my country's economy, the consumption of energy is also increasing. my country has become the world's largest coal consumer, the second largest oil and electricity consumer; Questions that need to be considered; due to our extensive development in the past, it caused a large amount of disorderly consumption of energy and caused serious pollution to the environment; therefore, energy conservation and emission reduction have become a national strategy, not only reducing the cost of each energy-consuming enterprise expenditure, improve production efficiency; at the same time, it also reduces environmental pollution, providing an important foundation for the sustainable development of...

AI Technical Summary

Problems solved by technology

[0004] 1. Manual reading; because the electric energy meters commonly used in the current enterprises are installed, as long as the equipment uses electricity, it will only accumulate the electric energy value, so copy the readings of the electric meter when the team starts and leaves the job, and then Subtract the reading at the time of departure from the reading at the time of on-duty to calculate the energy value used by the team; first, because it is manually copied, the factor of manual misreading is introduced, resulting in inaccurate data; second, because it is manually read Copying cannot guarantee time synchronization. It is likely that the equipment has not been completely shut down or the equipment has been shut down for a period of time before copying data and introducing measurement errors; thirdly, due to the need for manual copying, it not only increases personnel, but also increased the cost of transcribing data

[0005] 2. Remote reading; because the metering device used is still a commonly used electric energy meter, although the labor is reduced, the data is still inaccurate; first, because the remote reading is connected to the metering device through the communication line, the host sends It will definitely take time to read the command and reach the metering device, and as long as the metering device has power consumption, it will always accumulate, so the data will be inaccurate; second, if multiple metering devices are installed on the team's site, The host cannot read multiple measuring devices at the same time, it can only poll one by one, which will introduce greater measurement data errors, resulting in inaccurate reading data

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