Industrial electricity utilization on-demand application data acquisition system

Abstract

The invention discloses an industrial electricity utilization on-demand application data acquisition system, which comprises a touch screen, a power start-up relay, buttons, a buzzer, indicating lamps and a PLC controller, wherein the touch screen is respectively in communication connection with an intelligent electric meter and the PLC controller, and one side of the touch screen is provided with a USB port; and the buttons and the indicating lamps are respectively connected with the PLC controller. The industrial electricity utilization on-demand application data acquisition system can acquire relevant data of an industrial intelligent electric meter, realizes timed storage and export of critical data, provides an accurate basis for the enterprise to apply a power demand numerical value on demand each month, effectively saves electricity utilization expenditure of the enterprise, and has the advantages of simple overall structure, convenient operation and low cost.

Description

technical field [0001] The invention relates to a data collection system, in particular to a data collection system for reporting industrial electricity on demand. Background technique [0002] At present, due to the overall weakness of the country's real economy, the energy consumption of many companies is not ideal, and the utilization rate of transformers is generally low. However, the basic monthly electricity fee charged by the traditional power supply bureau is based on the capacity of the transformer. The higher the energy consumption in the current month, the lower the overall average electricity price in the month. On the contrary, the lower the energy consumption in the current month, the higher the average electricity price. Therefore, this year, the number of enterprises that use transformer basic electricity tariffs to declare on demand has increased significantly. The planned output is combined with the historical electricity consumption data to declare the pow...

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Problems solved by technology

[0002] At present, due to the overall weakness of the country's real economy, the energy consumption of many companies is not ideal, and the utilization rate of transformers is generally low. However, the basic monthly electricity fee charged by the traditional power supply bureau is based on the capacity of the transformer. The higher the energy consumption in the current month, the lower the overall average electricity price in the month. On the contrary, the lower the energy consumption in the current month, the higher the average electricity price. Therefore, this year, the number of enterprises that use transformer basic electricity tariffs to declare on demand has increased significantly. The planned output is combined with the historical electricity consumption data to declare the power demand value of the next month. If the reported data can be accurate within a reasonable range, the company's basic electricity expenses can be minimized. However, the difficulty of reporting on demand lies in how to accurately count the company's daily The highest instantaneous power demand value every 15 minutes on average. This highest instantaneous power demand value is the basis for metering and charging by the power supply bureau. The power supply bureau can rely on its own wireless data transmission device to obtain data. It is difficult for electricians to operate and obtain data from meter reading. If the demand data reported to the power supply bureau is inaccurate, and the actual maximum instantaneous power demand of the month exceeds the reported demand value by 15%, the basic electricity fee will be doubled for the excess. To achieve the purpose of saving basic electricity charges, if you want to report accurate demand data, you must regularly collect and analyze the company’s instantaneous active power demand data to provide professional data reference for monthly on-demand power demand reports

At present, the known power distribution background monitoring system can meet the above requirements. The system is composed of measurement and control screens, switches, background power distribution monitoring software, servers and other devices. Therefore, it is difficult to popularize the application in small and medium-sized enterprises. From the perspective of enterprise power consumption management, as long as the total power factor value is controlled above 0.90, no power adjustment charges are generated, and the reported demand data is within a reasonable range, it can be very good. Reduce company electricity bills

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