Multi-information online detection system for machine tool multi-source energy consumption system

Abstract

The invention provides a multi-information online detection system for a machine tool multi-source energy consumption system, which is composed of a hardware part and a software system, wherein the hardware part comprises a related power sensor, a transmission and conversion interface and an upper computer terminal used for receiving and processing information; and the software system comprises an energy efficiency real-time detection module, a system parameter configuration module, an energy efficiency analysis module and an energy efficiency analysis result history query module. The system provided by the invention can detect and monitor energy consumption dynamic state information of a main power system and all auxiliary systems of a machine tool on line, and can detect and monitor input energy, effective energy, process power, transient power, the workpiece machining process energy utilization ratio, the specific energy efficiency and the equipment effective utilization ratio in the whole workpiece machining process on line. The detection system is of an integrated design, convenient and practical, a detection and analysis system is provided for improving various parameters of the energy efficiency of a mechanical machining system with high volume and wide scale, and a support tool is provided for enhancing state analysis, management control and energy conservation optimization for energy consumption and energy efficiency in the mechanical machining process.

Description

technical field [0001] The invention relates to an online detection system for energy consumption and energy efficiency parameters of machine tools in the machinery manufacturing industry. Background technique [0002] my country has a large number of machining machine tools and a wide range of machines, ranking first in the world in terms of possession, and the total energy consumption is huge. Many studies have shown that the effective energy utilization rate of machine tools is very low; and the equivalent environmental emissions caused by the energy consumption of machine tools are also very large. Therefore, how to improve the effective energy utilization rate of the machine tool and reduce the equivalent emission caused by the energy consumption of the machine tool has become the focus of current research. At the same time, it also proposes an online detection method and system for the technical parameters related to the energy consumption state of the machine tool. R...

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Problems solved by technology

[0004] To sum up, most of the existing technologies focus on the energy consumption analysis and energy information and energy efficiency acquisition methods for the main drive system of machine tools, and the multi-energy source detection technology for CNC machine tools is limited to the use of multiple power sensors to collect energy sources. Electric power value to obtain a simple analysis of the energy consumption of each energy source, these technologies are unable to obtain the effective energy, transient efficiency, energy utilization rate of the workpiece processing process and energy specific energy efficiency, equipment effective Key parameters of energy efficiency in mechanical processing such as utilization rate; and there is also a lack of multi-information online detection system for multi-source energy consumption system of machine tools

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