CN110879823B - Wireless monitoring devices of mechanical vibration - Google Patents
Wireless monitoring devices of mechanical vibration Download PDFInfo
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- CN110879823B CN110879823B CN201911206427.6A CN201911206427A CN110879823B CN 110879823 B CN110879823 B CN 110879823B CN 201911206427 A CN201911206427 A CN 201911206427A CN 110879823 B CN110879823 B CN 110879823B
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- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/28—Supervision thereof, e.g. detecting power-supply failure by out of limits supervision
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Abstract
The invention discloses a mechanical vibration wireless monitoring device, which comprises a vibration parameter sensing node and a PC (personal computer) provided with an XBee wireless communication module; the method comprises the steps that a three-dimensional attitude sensor is arranged in each vibration parameter sensing node, an operation data post-processing system is loaded in a PC (personal computer), the PC is composed of a data local storage module, a data analysis and evaluation module, a GSM (global system for mobile communications) early warning module and an operation process visual playback module, the data analysis and evaluation module can automatically complete data analysis, during analysis, data characteristics are extracted based on a CCIPCA (central processing unit encryption and privacy infrastructure) algorithm, then a corresponding algorithm is called to obtain an evaluation result, the obtained evaluation result and a mechanical state trajectory graph line are filled into a prefabricated latex template, and then a latex compiler is used for compiling to generate a pdf report. The invention can realize the real-time acquisition and analysis of mechanical vibration data, has higher accuracy and can realize the visual analysis of the mechanical operation condition.
Description
Technical Field
The invention relates to the field of mechanical monitoring, in particular to a mechanical vibration wireless monitoring device.
Background
At present, to the maintenance monitoring of machinery, the mode that adopts maintenance personnel periodic detection to go on basically, when wasting time and energy, the universal poor defect of real-time nature to unable timely discovery mechanical potential safety hazard, simultaneously, the in-process of current people for detecting, to the most single vibration sensor that relies on of mechanical vibration's monitoring detects, it does not consider the influence of vibration sensor self attitude information, thereby makes the error of testing result great to a certain extent.
Disclosure of Invention
In order to solve the problems, the invention provides a mechanical vibration wireless monitoring device which can realize real-time acquisition and analysis of mechanical vibration data, has higher accuracy and can realize visual analysis of mechanical operation conditions.
In order to achieve the purpose, the invention adopts the technical scheme that:
a mechanical vibration wireless monitoring device comprises a vibration parameter sensing node and a PC (personal computer) provided with an XBee wireless communication module; the vibration parameter sensing nodes are used for acquiring vibration parameters and feeding back the acquired data to the PC in real time, and each vibration parameter sensing node is internally provided with a three-dimensional attitude sensor for acquiring attitude information of the vibration parameter sensing node; the PC is internally provided with an operating data post-processing system which comprises a data local storage module, a data analysis and evaluation module, a GSM early warning module and an operating process visual playback module, wherein vibration parameter data and corresponding attitude data are stored in a local database by adopting a MySQL tool kit in python, the data analysis and evaluation module can automatically finish data analysis, during analysis, data characteristic extraction is realized based on a CCIPCA algorithm, then the corresponding algorithm is called to realize the acquisition of an evaluation result, the obtained evaluation result and a mechanical state trajectory graph line are filled into a prefabricated latex template, then a latex compiler is used for compiling to generate a pdf report, and when the obtained evaluation result falls into an early warning threshold, the GSM early warning module is started to realize the sending of early warning short messages; the operation process visual playback module builds a corresponding simulation model based on Simulink to realize playback of the mechanical operation process.
Furthermore, a self-organizing network is formed inside the vibration parameter sensing node through a ZigBee chip, so that multi-parameter dynamic sensing and data fusion can be realized; and the vibration parameter sensing node transmits data to the PC through a dynamic routing and multi-hop transmission mode.
Further, each vibration parameter is fused with corresponding vibration sensor attitude information.
Further, the data analysis and evaluation module realizes risk evaluation of the vibration parameters based on the LSSVM, and then outputs corresponding maintenance measures according to risk evaluation results by adopting a nearest neighbor classifier.
Further, the data analysis and evaluation module realizes drawing of a mechanical state trajectory graph line according to the data characteristics based on a drawing module.
Furthermore, each vibration parameter sensing node is provided with a storage battery, a storage battery electric quantity monitoring module is loaded in the PC and used for monitoring the residual electric quantity of the storage battery in each vibration parameter sensing node, and when the detected electric quantity falls into a preset threshold, the GSM early warning module is started to realize the sending of the early warning short message.
Furthermore, a heat insulation pad and a heat dissipation pad are installed between each vibration parameter sensing node and the machine, the heat insulation pad is arranged close to the lower bottom face of each vibration parameter sensing node, and the heat dissipation pad is arranged close to the heat insulation pad.
The invention has the following beneficial effects:
1) The real-time acquisition and analysis of mechanical vibration data can be realized, and the visual analysis of the mechanical operation condition can be realized while the accuracy is higher.
2) Each evaluation result carries a mechanical state trajectory graph, so that a user can intuitively know the current mechanical state.
3) The monitoring of the electric quantity of each vibration parameter sensing node is realized, so that the monitoring data loophole caused by insufficient electric quantity can be avoided.
Drawings
Fig. 1 is a system block diagram of a mechanical vibration wireless monitoring apparatus according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the concept of the invention. All falling within the scope of the present invention.
As shown in fig. 1, a mechanical vibration wireless monitoring device according to an embodiment of the present invention is characterized by including a vibration parameter sensing node, a PC equipped with an XBee wireless communication module; the vibration parameter sensing nodes are used for acquiring vibration parameters and feeding back the acquired data to the PC in real time, and each vibration parameter sensing node is internally provided with a three-dimensional attitude sensor for acquiring attitude information of the vibration parameter sensing node; the PC is internally provided with an operation data post-processing system which comprises a data local storage module, a data analysis and evaluation module, a GSM early warning module and an operation process visual playback module, vibration parameter data and corresponding attitude data are stored in a local database by adopting a MySQL tool package in python, the data analysis and evaluation module can automatically complete data analysis, when in analysis, the denoising processing of the data is realized on the basis of a wavelet soft threshold method, then the extraction of data characteristics is realized on the basis of a CCIPCA algorithm, then the risk evaluation of the vibration parameters is realized on the basis of a trained LSSVM, then a nearest neighbor classifier is adopted to output corresponding maintenance measures according to risk evaluation results, then the drawing of mechanical state trajectory graphs is realized on the basis of drawing modules according to the data characteristics, the obtained evaluation results and the mechanical state trajectory graphs are filled into a prefabricated latex, then a latex template is compiled by a latex compiler to generate a pdf report, when the obtained evaluation results fall into a threshold, the GSM early warning module is started to realize the sending of early warning short messages in an automatic editing mode, and then the corresponding mobile report is sent to a corresponding mobile terminal together according to the obtained evaluation results; the operation process visual playback module builds a corresponding simulation model based on Simulink to realize playback of the mechanical operation process.
In the embodiment, a self-organizing network is formed inside the vibration parameter sensing node through a ZigBee chip, so that multi-parameter dynamic sensing and data fusion can be realized; the vibration parameter sensing node transmits data to the PC through a dynamic route and a multi-hop transmission mode, attitude information of the vibration sensor corresponding to the vibration parameter sensing node is fused in each vibration parameter, and the acquisition of the attitude information can realize the acquisition of the attitude information of the vibration sensor and timely discover whether the vibration sensor has offset or not.
In this embodiment, every vibration parameter perception node all disposes a battery, and the PC in-load holds battery power monitoring module for the residual capacity of battery among the monitoring each vibration parameter perception node, when the electric quantity that detects falls into the threshold of predetermineeing, GSM early warning module starts, realizes the sending of early warning SMS, thereby reminds people in time to carry out the change of battery, holds battery power monitoring module and realizes the calculation of residual capacity based on following formula: remaining charge = total charge-power consumption per hour x operating time.
In this embodiment, install heat insulating mattress and cooling pad between every vibration parameter perception node and the machinery, the lower bottom surface setting of vibration parameter perception node is hugged closely to the heat insulating mattress, and the cooling pad is hugged closely the setting of heat insulating mattress to can reduce the influence that the heat that the machinery operation gived off produced vibration parameter perception node.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (4)
1. The mechanical vibration wireless monitoring device is characterized by comprising a vibration parameter sensing node and a PC (personal computer) provided with an XBee wireless communication module; the vibration parameter sensing nodes are used for acquiring vibration parameters and feeding back the acquired data to the PC in real time, and each vibration parameter sensing node is internally provided with a three-dimensional attitude sensor for acquiring attitude information of the vibration parameter sensing node; the PC is internally provided with an operation data post-processing system which comprises a data local storage module, a data analysis and evaluation module, a GSM early warning module and an operation process visual playback module, wherein vibration parameter data and corresponding posture data are stored in a local database by adopting a MySQL (MySQL query language) tool package in python, the data analysis and evaluation module can automatically finish the analysis of the data, during the analysis, the extraction of data characteristics is realized on the basis of a CCIPCA (conditional principal component analysis) algorithm, then the corresponding algorithm is called to realize the acquisition of an evaluation result, the obtained evaluation result and a mechanical state trajectory graph line are filled into a prefabricated latex template, then a pdf report is compiled by a latex compiler to generate, and when the obtained evaluation result falls into an early warning threshold, the GSM early warning module is started to realize the sending of early warning short messages; the operation process visual playback module builds a corresponding simulation model based on Simulink to realize playback of the mechanical operation process; a self-organizing network is formed inside the vibration parameter sensing node through a ZigBee chip, so that multi-parameter dynamic sensing and data fusion can be realized; the vibration parameter sensing node transmits data to the PC through a dynamic routing and multi-hop transmission mode; the corresponding vibration sensor attitude information is fused in each vibration parameter; the data analysis and evaluation module realizes risk evaluation of the vibration parameters based on the LSSVM, and then outputs corresponding maintenance measures according to risk evaluation results by adopting a nearest neighbor classifier.
2. The wireless mechanical vibration monitoring device as claimed in claim 1, wherein the data analysis and evaluation module is based on a plotting module to plot a mechanical state trace according to the data characteristics.
3. The wireless monitoring device for mechanical vibration according to claim 1, wherein each vibration parameter sensing node is configured with a storage battery, and the PC is loaded with a storage battery power monitoring module for monitoring the remaining power of the storage battery in each vibration parameter sensing node, and when the detected power falls within a preset threshold, the GSM warning module is started to realize the sending of the warning short message.
4. The wireless mechanical vibration monitoring device as claimed in claim 1, wherein a heat insulation pad and a heat dissipation pad are installed between each vibration parameter sensing node and the machine, the heat insulation pad is disposed in close contact with the lower bottom surface of the vibration parameter sensing node, and the heat dissipation pad is disposed in close contact with the heat insulation pad.
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| CN111265222A (en) * | 2020-03-24 | 2020-06-12 | 孙孟良 | ICU patient unplanned tube drawing early warning system |
| CN111323112A (en) * | 2020-04-03 | 2020-06-23 | 宜春学院 | Wireless monitoring device for rotary mechanical vibration |
| CN111578999A (en) * | 2020-05-25 | 2020-08-25 | 东北电力大学 | Integrated information monitoring system of ring main unit |
| CN111907372A (en) * | 2020-08-13 | 2020-11-10 | 陕西工业职业技术学院 | New energy automobile battery monitoring system |
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