Identification method capable of aiming at multisource energy efficiency state in cutting process
A technology of cutting process and energy efficiency, which is applied in the field of identification of multi-source energy efficiency states, can solve problems such as identification and analysis of multi-source energy efficiency states
Active Publication Date: 2017-11-10
SHANGHAI JIAO TONG UNIV
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Among them, these offline signals need to cover a variety of evaluation indicators, which requires the use of multiple sensors to sample multiple signal sources. However, there is no machine learning-based method to identify and analyze the energy efficiency status of multiple sources in the cutting process. Theoretical basis and technical solutions
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[0051] Such as figure 1 As shown, the hardware of the recognition method for the multi-source energy efficiency state in the cutting process of the present invention includes: a computer 1, which is used for signal analysis and processing; a data acquisition card 2, which is used to connect the cutting force sensor 6, the cutting power sensor 7, The signal collected by the acoustic emission sensor 8 is sent to the computer 1; the milling machine 3, the cutting tool 4 and the cutting workpiece 5 together constitute the cutting system of the cutting process.
[0052] Such as figure 2 As shown, the present invention provides a method for identifying multi-source energy efficiency states in the cutting process, which is characterized in that it includes the following steps:
[0053] Step 1, such as image 3 As shown, 29 cutting processes with different cutting parameters are set. In each cutting process, the sensor group is used to sample the signals corresponding to the main e...
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The invention relates to an identification method capable of aiming at a multisource energy efficiency state in a cutting process, and is mainly used for identifying and analyzing the energy efficiency state of the cutting process on the basis of an obtained cutting signal under a situation that cutting force sensor equipment, power sensor and sound emission sensor equipment are in the presence. The method comprises the following steps that: S1: carrying out the collection and the original processing of sample data; S2: constructing a hidden Markov identification model based on the cutting signal; S3: constructing an empirical rule library system based on a cutting specific energy formula; and S4: carrying out a combined identification method of the hidden Markov and the empirical rule library. When the method is used, a complex cutting system can be subjected to non-modeling identification of the energy efficiency state so as to guide people to better use a cutting machining tool to achieve a purpose of environmentally-friendly production.
Description
technical field [0001] The invention relates to an identification method of an energy efficiency state, in particular to an identification method for multi-source energy efficiency states in a cutting process. Background technique [0002] The energy efficiency of the cutting process is one of the important research topics and research hotspots in the field of green manufacturing. Due to the ever-changing actual cutting process, even the cutting processing system based on high-energy-efficiency design cannot provide quantitative real-time energy efficiency evaluation indicators online; The performance degradation of the driving system, etc.) is asynchronous, which will also make it impossible for the overall energy efficiency of the processing system to remain in the expected high energy efficiency state forever. [0003] In fact, energy efficiency is a dynamic variable based on the inherent energy consumption of the system, and it is difficult to accurately model and analy...
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IPC IPC(8): G06K9/62G06K9/00
CPCG06F2218/12G06F18/295G06F18/214
Inventor 廖书恒邵华蔡赟蔡聪聪丁桂丽袁键键
Owner SHANGHAI JIAO TONG UNIV