CN114001890A - Method, system, terminal and storage medium for monitoring condition of rolling connection equipment based on vibration and noise data analysis - Google Patents
Method, system, terminal and storage medium for monitoring condition of rolling connection equipment based on vibration and noise data analysis Download PDFInfo
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Abstract
The invention relates to a method, a system, a terminal and a storage medium for monitoring the condition of a rolling-joint device based on vibration and noise data analysis, wherein the method comprises the steps of obtaining vibration data and sound data of each gear in the rolling-joint device; acquiring preset fault type data; matching the vibration data and the sound data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report, wherein the system comprises a first acquisition module, a second acquisition module and a matching generation module; according to the invention, the vibration data and the sound data of each gear in the rolling and connecting equipment are matched with the fault type data, so that the fault type of the corresponding gear can be obtained, and the worker can accurately know the specific fault of the specific gear through the fault report, so that the overhauling efficiency of the rolling and connecting equipment is improved, and the monitoring accuracy of the rolling and connecting equipment is improved.
Description
Technical Field
The invention relates to the field of cigarette equipment monitoring, in particular to a method, a system, a terminal and a storage medium for monitoring the condition of cigarette rolling equipment based on vibration and noise data analysis.
Background
At present, the cigarette manufacturing process mainly comprises three stages, namely, shredding, rolling and packaging; wherein, the rolling and connecting, namely rolling and forming, means that the cut tobacco is made into cigarettes; in the rolling and connecting process, tobacco shreds are made into cigarettes through rolling and connecting equipment, and in the rolling and connecting process, because the rolling and connecting equipment internally comprises a plurality of gear structures which are meshed with each other, the gears have problems after being used for a period of time, the rolling and connecting equipment is influenced, and the rolling and connecting work is influenced; according to the related technology, in the process of using the rolling and connecting equipment, the rolling and connecting equipment is often monitored in a manual mode, and workers monitor the rolling and connecting equipment by listening to the sound emitted in the working process of the rolling and connecting equipment, but the mode has large limitation and cannot accurately judge whether the rolling and connecting equipment breaks down.
Disclosure of Invention
The invention aims to provide a method, a system, a terminal and a storage medium for monitoring the condition of a rolling-joint device based on vibration and noise data analysis, which can improve the monitoring accuracy of the rolling-joint device.
The invention adopts the following technical scheme:
the invention relates to a method for monitoring the condition of a rolling-connection device based on vibration and noise data analysis, which comprises the following steps:
step S101: acquiring vibration data and sound data of each gear in the rolling and connecting equipment;
step S102: acquiring preset fault type data;
step S103: and matching the vibration data and the sound data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report.
By adopting the technical scheme, the vibration data and the sound data of each gear can be collected in real time, the vibration data and the sound data are matched with the fault type data, so that fault type information is obtained, and through fault reports, a worker can accurately position a certain gear and obtain the occurred fault type information, so that the rolling and connecting equipment is subjected to targeted processing, the monitoring efficiency of the rolling and connecting equipment is improved, and the monitoring accuracy of the rolling and connecting equipment is improved.
The present invention in a preferred example may be further configured to further include: acquiring temperature data of each gear in the rolling and connecting equipment;
and matching the vibration data, the sound data and the temperature data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report.
By adopting the technical scheme, the gear is monitored from three aspects of temperature, vibration and sound, the fault type of the gear can be obtained more accurately through data matching of the three aspects of temperature, vibration and sound, and the overhauling efficiency of the rolling equipment is improved.
The present invention may further be configured in a preferred example, that the method for acquiring preset fault type data includes:
acquiring big data of the rolling and connecting equipment in the using process;
acquiring use fault data of the rolling and connecting equipment based on big data in the use process of the rolling and connecting equipment; acquiring gear fault type data based on the rolling connection equipment by using the fault data;
the gear fault type data is preset fault type data.
By adopting the technical scheme, the faults encountered by the rolling connection equipment can be acquired according to the using big data of the rolling connection equipment in the using process of the rolling connection equipment, and the fault types related to the gears are selected from the faults, so that the fault type data is obtained.
The present invention in a preferred example may be further configured such that the acquiring method of acquiring vibration data, sound data, and temperature data includes: the vibration data, the sound data and the temperature data are generated based on signals output by a sensor which is installed in the rolling-connection equipment in advance; the sensors include a vibration sensor, a sound sensor, and a temperature sensor.
By adopting the technical scheme, the vibration sensor, the sound sensor and the temperature sensor transmit signals to the server in real time, and the server receives the signals and converts the signals into data for matching and recognition.
The present invention in a preferred example may be further configured that the method for obtaining the fault type of the corresponding gear after matching the vibration data, the sound data and the temperature data with the fault type data includes:
generating a vibration waveform image according to the vibration data; generating a sound waveform image from the sound data; generating a temperature waveform image according to the temperature data;
generating a fault waveform image according to the fault type data;
and matching the vibration waveform image, the sound waveform image and the temperature waveform image with the fault waveform image to obtain the fault type of the corresponding gear.
The present invention may be further configured in a preferred example that the fault waveform image includes a first waveform image, a second waveform image, and a third waveform image;
the first waveform image corresponds to a vibration waveform image, and vibration fault information is obtained after the vibration waveform image is matched with the first waveform image;
the second waveform image corresponds to the sound waveform image, and the sound waveform image is matched with the second waveform image to obtain sound fault information;
the third waveform image corresponds to the temperature waveform image, and the temperature waveform image is matched with the third waveform image to obtain temperature fault information;
and the vibration fault information, the sound fault information and the temperature fault information are combined to form fault type information.
The present invention in a preferred example may be further configured to: and matching the vibration waveform image, the sound waveform image and the temperature waveform image with the fault waveform image is realized by a characteristic identification technology.
The invention also aims to provide a system for monitoring the condition of the rolling and connecting equipment based on vibration and noise data analysis.
The invention relates to a rolling-connection equipment condition monitoring system based on vibration and noise data analysis, which comprises:
the device comprises a first acquisition module, a second acquisition module and a matching generation module;
the output end of the first acquisition module is connected with the input end of the second acquisition module, and the output end of the second acquisition module is connected with the input end of the matching generation module.
The first acquisition module is used for acquiring vibration data and sound data of each gear in the rolling and connecting equipment; the second acquisition module is used for acquiring preset fault type data; and the matching generation module is used for matching the vibration data, the sound data and the fault type data to obtain the fault type of the corresponding gear and generate a fault report.
An intelligent terminal comprises a memory and a processor, wherein the memory is stored with computer program instructions of the scroll equipment condition monitoring method based on vibration and noise data analysis, which can be loaded and executed by the processor.
The computer medium of the present invention can store a corresponding program.
The computer readable storage medium of the present invention stores a computer program that can be loaded by a processor and executed to perform any of the vibration and noise data analysis based on the condition monitoring method and system for a cigarette making machine.
The invention has the following positive effects: according to the invention, the vibration data and the sound data of each gear in the rolling and connecting equipment are matched with the fault type data, the vibration data and the sound data of each gear are collected in real time, the vibration data and the sound data are matched with the fault type data, so that the fault type information is obtained, and through fault reports, a worker can accurately position a certain gear and obtain the occurred fault type information, so that the rolling and connecting equipment is subjected to targeted processing, and the monitoring efficiency of the rolling and connecting equipment is improved. According to the method, the comprehensiveness of the fault type data is improved, so that the faults of each gear can be identified in the process of matching the temperature data, the vibration data and the sound data with the fault type data, and the monitoring accuracy of the rolling equipment is improved.
The invention realizes the monitoring of the gear from three aspects of temperature, vibration and sound, and can more accurately obtain the fault type of the gear through the data matching of the three aspects of temperature, vibration and sound, thereby improving the overhauling efficiency of the rolling and connecting equipment.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic flow chart of the method of the present invention.
In the drawings: 1. a first acquisition module; 2. a second acquisition module; 3. and a matching generation module.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
in order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the system for monitoring the condition of the rolling equipment based on vibration and noise data analysis of the present invention comprises: the device comprises a first acquisition module 1, a second acquisition module 2 and a matching generation module 3, wherein the output end of the first acquisition module 1 is connected with the input end of the second acquisition module 2, and the output end of the second acquisition module 2 is connected with the input end of the matching generation module 3; the first acquisition module 1 is used for acquiring vibration data and sound data of each gear in the rolling and connecting equipment; the second obtaining module 2 is used for obtaining preset fault type data; and the matching generation module 3 is used for matching the vibration data and the sound data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report.
In the embodiment of the invention, the modules are all part of execution modules in the server, the server monitors the rolling-connection equipment by the aid of the modules, the fault report is finally generated and sent to the worker, the worker can obtain specific faults of specific gears in the rolling-connection equipment according to the fault report after receiving the fault report, and the rolling-connection equipment is maintained according to the fault report.
The rolling equipment adopting the method of the invention is internally provided with a plurality of gears, and the rolling work is realized through the engagement between the gears; and after long-time use of the rolling and connecting equipment, the problems that the gears in the rolling and connecting equipment have the following appearance are solved: if the teeth of the gear are bent and split, the problems of the rolling and splicing equipment can be caused, the rolling and splicing work is influenced, and the working efficiency of the rolling and splicing work is reduced; therefore, in the embodiment of the invention, a vibration sensor, a sound sensor and a temperature sensor which are wirelessly transmitted are installed on each gear inside the rolling and connecting device, and the vibration sensor, the sound sensor and the temperature sensor respectively transmit signals to the server through wireless transmission devices; it should be noted that, in the process of installing the sensors, it is required to ensure that the installation positions of the corresponding sensors do not move along with the operation of the rolling and connecting equipment, and ensure that the sensors and the gears are in one-to-one correspondence, so that the designated monitoring of the gears can be realized, when the rolling and connecting equipment has problems, the specific gears can be directly positioned, and the maintenance efficiency of the rolling and connecting equipment is improved.
As shown in fig. 2, the method for monitoring the condition of the rolling equipment based on vibration and noise data analysis of the present invention comprises the following steps:
step S101: acquiring vibration data and sound data of each gear in the rolling and connecting equipment;
firstly, acquiring vibration data and sound data according to signals output by a sensor pre-installed in the rolling equipment, and acquiring temperature data according to the sensor; in the embodiment of the invention, each gear in the rolling equipment is provided with a vibration sensor, a sound sensor and a temperature sensor; when the rolling and connecting equipment starts to work, the vibration sensor, the sound sensor and the temperature sensor synchronously start to work, and vibration data, sound data and temperature data of the corresponding gear are monitored and output in real time;
step S102: acquiring preset fault type data;
the fault type data refers to a fault type occurring in the working process of the rolling equipment, wherein the fault type refers to equipment fault caused by gear fault;
in step S102, the specific manner of acquiring the preset fault type data may take the following steps:
1. acquiring big data of the rolling and connecting equipment in the using process;
2. acquiring use fault data of the rolling and connecting equipment based on big data in the use process of the rolling and connecting equipment;
3. acquiring gear fault type data based on the rolling connection equipment by using the fault data;
firstly, acquiring big data of the rolling and connecting equipment in the using process in a crawler mode, acquiring fault data of the rolling and connecting equipment in the using process according to the big data of the rolling and connecting equipment in the using process, screening the fault data to acquire fault data about a gear, wherein the gear fault data is preset fault type data;
in the embodiment of the invention, the gear fault data includes the following conditions, namely, in the first condition, after the rolling and connecting equipment is used for a long time, the gear tooth part of the gear can be bent, so that in the working process of the rolling and connecting equipment, the gear meshed with the gear with the bent gear tooth is vibrated, the gear generates noise, and the temperature is increased; in the second situation, the gear may have broken teeth, when the broken teeth occur, the gear vibrates, noise is generated, and the temperature is increased, but when the broken teeth are disconnected, the gear returns to normal and the temperature is reduced; in the third case, the gears may be worn, resulting in deformation of the gears, which increases vibration and noise, and increases temperature; this is part of the fault type data.
When the situation occurs, the vibration sensor, the sound sensor and the temperature sensor which are arranged in the rolling connection equipment detect the abnormality and output detection signals, and the server matches vibration data, sound data and temperature data corresponding to the detection signals after receiving the detection signals to obtain corresponding fault types;
step S103: and matching the vibration data and the sound data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report.
Obtaining corresponding vibration data, sound data and temperature data according to a vibration sensor, a sound sensor and a temperature sensor in the rolling equipment; then matching the vibration data, the sound data and the temperature data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report;
the accuracy of gear fault identification can be improved by matching the temperature data with the fault type data.
After obtaining the vibration data, the sound data and the temperature data, respectively generating corresponding images according to different data; generating a vibration waveform image according to the vibration data, generating a sound waveform image according to the sound data, and generating a temperature waveform image according to the temperature data; then generating a fault waveform image according to preset fault type data; wherein the fault waveform image comprises a first waveform image, a second waveform image and a third waveform image; the first waveform image corresponds to the vibration waveform image, and the vibration waveform image is matched with the first waveform image to obtain vibration fault information; the second waveform image corresponds to the sound waveform image, and the sound waveform image is matched with the second waveform image to obtain sound fault information; the third waveform image corresponds to the temperature waveform image, and the temperature waveform image is matched with the third waveform image to obtain temperature fault information; the vibration fault information, the sound fault information and the temperature fault information are combined to form fault type information.
In the matching process, the waveform images are matched and identified through the characteristic identification technology, the accuracy of identifying the gear fault is improved and the monitoring accuracy of the rolling equipment is improved through the matching and identification of the three waveform images of vibration, sound and temperature, the characteristic identification technology is the prior art, and is not repeated herein.
The matching identification of the waveform image in step S103 corresponds to three fault types occurring in the gear in step S102, and the specific fault types occurring in the gear can be respectively identified according to the matching result of the waveform image:
in the first situation, when the gear is bent, the corresponding vibration waveform of the gear at the moment is continuously fluctuated in a small amplitude, the sound waveform is the same as the vibration waveform and is also continuously fluctuated in a small amplitude, and the temperature waveform firstly rises by a section and then tends to be stable; when the gear is bent, the gear is rubbed with the surrounding gears, generates vibration and generates sound, the temperature is gradually increased in the rubbing process, and after a period of time, the temperature tends to be stable;
in the second situation, the gear is broken, the corresponding vibration waveform of the gear at the moment is in a trend of suddenly rising and then suddenly falling, and the gear tends to be stable after falling; the sound waveform and the vibration waveform have the same trend, and the temperature waveform is suddenly increased and then slowly decreased; when the gear is broken, the broken gear of the gear vibrates sharply at one moment, a large sound is generated, the temperature rises sharply, and the meshing between the gear after the broken gear and the surrounding gears is not influenced, so that the vibration drops suddenly, the sound drops suddenly, and the temperature at the broken gear cannot drop suddenly and only drops slowly;
in the third situation, the gear is worn, the gear at the moment is deformed, severe friction is generated between the gear and the surrounding gears, vibration is large, sound is large, the sound waveform and the vibration waveform at the moment are in a state of rising firstly and then tending to be stable, the temperature gradually rises in the friction process of the gear and the gear, and the temperature tends to be stable after rising to a certain degree.
It should be noted that the difference between the third case and the first case is that the sound and vibration waveforms in the third case tend to rise first and then to be gentle because the gears are worn and are constantly vibrated and sounded as they rotate; the sound and vibration waveforms in the first case are a tendency to fluctuate with a small amplitude on a continuous basis, because the gear bends, and only the bent portion will vibrate and produce sound when it rubs, and not for the rest of the time.
It can be understood that the sound waveform referred to in the embodiments of the present invention is a noise waveform, where the sound refers to noise generated by gear failure.
Through the detection to vibration, sound and the temperature of gear among the equipment of rolling up and connecing to through the matching of vibration waveform, sound waveform and temperature waveform and predetermined fault waveform, can obtain the fault type that corresponds the gear comparatively accurately, improved the detection accuracy nature of gear trouble, improved the detection accuracy nature of rolling up equipment, thereby improved the control accuracy nature to rolling up equipment.
In order to better execute the program of the method, the invention also provides an intelligent terminal which comprises a memory and a processor.
Wherein the memory is operable to store an instruction, a program, code, a set of codes, or a set of instructions. The memory may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the above-described vibration and noise data analysis-based equipment condition monitoring method, and the like; the storage data area may store data and the like involved in the above-described reel-up condition monitoring method based on vibration and noise data analysis.
A processor may include one or more processing cores. The processor executes or executes the instructions, programs, code sets, or instruction sets stored in the memory, calls data stored in the memory, performs various functions of the present invention, and processes the data. The processor may be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic devices used to implement the processor functions described above may be other devices, and embodiments of the present invention are not limited in particular.
The present invention also provides a computer-readable storage medium, for example, comprising: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk. The computer readable storage medium stores a computer program that can be loaded by a processor and that implements the above-described method for monitoring the condition of a cigarette making device based on vibration and noise data analysis.
The foregoing description is only a preferred embodiment of the invention and is illustrative of the principles of the technology employed; it will be understood by those skilled in the art that the scope of the present disclosure is not limited to the specific combinations of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the spirit of the present disclosure, for example, in which the above-mentioned features are replaced with (but not limited to) features having similar functions as those disclosed in the present disclosure.
Claims (10)
1. A rolling and connecting equipment condition monitoring method based on vibration and noise data analysis is characterized in that a vibration sensor, a sound sensor and a temperature sensor which are wirelessly transmitted are mounted on each gear of the rolling and connecting equipment, and the monitoring method comprises the following steps:
step S101: firstly, acquiring vibration data, sound data and temperature data of corresponding gears according to signals output by a vibration sensor, a sound sensor and a temperature sensor which are pre-installed on each gear of the rolling and connecting equipment;
step S102: acquiring big data of the use process of the rolling and connecting equipment, acquiring use fault data of the rolling and connecting equipment based on the big data of the use process of the rolling and connecting equipment, and acquiring fault data of the gear, namely preset fault type data based on the use fault data of the rolling and connecting equipment;
step S103: and matching the vibration data, the sound data and the temperature data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report.
2. The method of claim 1, wherein generating a vibration waveform image from vibration data, generating a sound waveform image from sound data, and generating a temperature waveform image from temperature data;
and then generating a fault waveform image according to preset fault type data.
3. The vibration and noise data analysis-based splicer device condition monitoring method of claim 2, wherein the fault waveform image comprises a first waveform image, a second waveform image and a third waveform image; the first waveform image corresponds to a vibration waveform image, and vibration fault information is obtained after the vibration waveform image is matched with the first waveform image; the second waveform image corresponds to the sound waveform image, and the sound waveform image is matched with the second waveform image to obtain sound fault information; the third waveform image corresponds to the temperature waveform image, and the temperature waveform image is matched with the third waveform image to obtain temperature fault information; the vibration fault information, the sound fault information and the temperature fault information are combined to form fault type information.
4. The vibration and noise data analysis-based splicer condition monitoring method of claim 2, wherein the identification of matches between waveform images is by a feature recognition technique.
5. The vibration and noise data analysis-based splicer condition monitoring method according to claim 3, wherein the preset fault type data includes:
(1) the gear teeth of the gear are bent, and in the working process of the rolling and connecting equipment, the gear meshed with the gear with the bent gear teeth vibrates, so that the gear generates noise and the temperature is increased;
(2) the broken gear of the gear vibrates to generate noise and increase the temperature, and when the broken gear is broken, the gear returns to normal and the temperature is reduced;
(3) gear wear causes gear deformation, increased vibration and noise, and increased temperature.
6. The vibration and noise data analysis-based rolling-up equipment condition monitoring method according to claim 5, wherein the matching of preset fault type data with three waveform images of vibration, sound and temperature to identify the fault type comprises:
(1) when the gear is bent, the corresponding vibration waveform of the gear at the moment is continuously fluctuated in a small amplitude, the sound waveform is the same as the vibration waveform and is also continuously fluctuated in a small amplitude, and the temperature waveform firstly rises for a section and then tends to be stable; when the gear is bent, the gear is rubbed with the surrounding gears, generates vibration and generates sound, and the temperature is gradually increased in the process of rubbing; after a period of time, the temperature tends to be stable;
(2) the gear is broken, the corresponding vibration waveform of the gear at the moment is in a trend of suddenly rising and then suddenly falling, and the gear tends to be stable after falling; the sound waveform and the vibration waveform have the same trend, and the temperature waveform is suddenly increased and then slowly decreased; when the gear is broken, the broken gear of the gear vibrates sharply at one moment, a large sound is generated, the temperature rises sharply, and the meshing between the gear after the broken gear and the surrounding gears is not influenced, so that the vibration drops suddenly, the sound drops suddenly, and the temperature at the broken gear cannot drop suddenly and only drops slowly;
(3) the gear is abraded, the gear at the moment is deformed, severe friction is generated between the gear and the surrounding gears, vibration is large, sound is large, the sound waveform and the vibration waveform at the moment are in a state of rising firstly and then tending to be stable, the temperature gradually rises in the friction process of the gear and the gear, and the temperature tends to be stable after rising to a certain degree.
7. A system for monitoring the condition of a cigarette making machine based on vibration and noise data analysis, comprising: the device comprises a first acquisition module (1), a second acquisition module (2) and a matching generation module (3);
the output end of the first acquisition module (1) is connected with the input end of the second acquisition module (2), and the output end of the second acquisition module (2) is connected with the input end of the matching generation module (3).
8. The system for monitoring the condition of the rolling equipment based on the analysis of the vibration and noise data as claimed in claim 7, characterized in that the first acquisition module (1) is used for acquiring the vibration data and the sound data of each gear in the rolling equipment; the second acquisition module (2) is used for acquiring preset fault type data; and the matching generation module (3) is used for matching the vibration data and the sound data with the fault type data to obtain the fault type of the corresponding gear and generate a fault report.
9. An intelligent terminal comprising a memory and a processor, the memory having stored thereon computer program instructions capable of being loaded by the processor and executing the method and system according to any of claims 1-8.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method and system according to any of claims 1-8.
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| CN202111241395.0A CN114001890B (en) | 2021-10-25 | 2021-10-25 | Method, system, terminal and storage medium for monitoring rolling equipment condition based on vibration and noise data analysis |
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| CN118245940A (en) * | 2024-03-25 | 2024-06-25 | 苏州庶有成自动化设备有限公司 | Dust-free room air hammer fluctuation source positioning method and system |
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