CN216309081U - Diagnostic module for visual monitoring of large-scale auxiliary engine - Google Patents
Diagnostic module for visual monitoring of large-scale auxiliary engine Download PDFInfo
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- CN216309081U CN216309081U CN202123042116.6U CN202123042116U CN216309081U CN 216309081 U CN216309081 U CN 216309081U CN 202123042116 U CN202123042116 U CN 202123042116U CN 216309081 U CN216309081 U CN 216309081U
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Abstract
The utility model discloses a diagnosis module for visual monitoring of a large auxiliary machine, which comprises a central processing unit, wherein the output end of the central processing unit is respectively and unidirectionally electrically connected with a current detection module, a data analysis module and a warning module. The intelligent monitoring system can monitor the current in real time by arranging the current detection module, can analyze the vibration frequency by arranging the data analysis module so as to intelligently judge the current fault state of the auxiliary machine, is convenient for a user to carry out wireless remote control by arranging a remote control terminal, can carry out sound-light alarm on a worker when a fault is detected by arranging the buzzer and the warning lamp, can know and master the state of the equipment in the using process by utilizing infrared thermal imaging by arranging the infrared imager so as to determine whether the whole and part of the equipment are normal or not, and can monitor the noise generated in the running process of the auxiliary machine in real time by arranging the noise tester.
Description
Technical Field
The utility model relates to the technical field of monitoring of auxiliary machines of thermal power plants, in particular to a diagnostic module for visually monitoring a large auxiliary machine.
Background
A thermal power plant, called thermal power plant for short, is a plant for producing electric energy by using combustible materials as fuel, and the basic production process is as follows: when the fuel is burnt, water is heated to generate steam, chemical energy of the fuel is converted into heat energy, the steam pressure pushes a steam turbine to rotate, the heat energy is converted into mechanical energy, and then the steam turbine drives a generator to rotate, so that the mechanical energy is converted into electric energy.
In the power generation process, the operation state of an auxiliary machine of a thermal power plant needs to be monitored in real time, the existing diagnostic module for monitoring the large-scale auxiliary machine can only carry out simple vibration monitoring on the auxiliary machine generally in the use process, and the operation state of the auxiliary machine cannot be subjected to multifunctional detection, so that the diagnostic effect is influenced.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide a visual monitoring diagnosis module for a large-scale auxiliary machine, which has the advantages of multifunctional detection of the operation state of the auxiliary machine and automatic fault analysis function, and solves the problems that the conventional visual monitoring diagnosis module for the large-scale auxiliary machine can only carry out simple vibration monitoring on the auxiliary machine generally and cannot carry out multifunctional detection on the operation state of the auxiliary machine in the use process, so that the diagnosis effect is influenced, and the diagnostic module for the large-scale auxiliary machine cannot intelligently judge faults according to vibration frequency due to single function and no automatic analysis function, so that the applicability of the visual monitoring diagnosis module for the large-scale auxiliary machine is reduced.
In order to achieve the purpose, the utility model provides the following technical scheme: the utility model provides a diagnostic module is used in visual monitoring of large-scale auxiliary engine, includes central processing unit, central processing unit's output unidirectional electricity respectively is connected with current detection module, data analysis module and warning module, central processing unit bidirectional electricity respectively is connected with infrared imager, ultrasonic detector, noise tester, temperature and humidity detection module, vibration sensor, dust concentration sensor, wireless transceiver module and fluid analysis appearance, the unidirectional electricity of output of data analysis module is connected with the display screen.
Preferably, the output end of the current detection module is unidirectionally and electrically connected with a power supply module, and the input end of the central processing unit is unidirectionally and electrically connected with a mains supply.
Preferably, the central processing unit is electrically connected with a storage module in a bidirectional mode, and the wireless transceiving module is in signal connection with a remote control terminal.
Preferably, the warning module comprises a warning lamp and a buzzer, and the input end of the warning lamp and the input end of the buzzer are both in one-way electric connection with the central processing unit.
Preferably, the temperature and humidity detection module comprises a temperature sensor and a humidity sensor, and the temperature sensor and the humidity sensor are both in bidirectional electric connection with the central processing unit.
Compared with the prior art, the utility model has the following beneficial effects:
the utility model has the advantages of being capable of carrying out multifunctional detection on the running state of the auxiliary machine and having the function of automatically analyzing faults by matching the central processing unit, the current detection module, the data analysis module, the warning module, the infrared imager, the ultrasonic detector, the noise tester, the temperature and humidity detection module, the vibration sensor and the dust concentration sensor, and solves the problems that the existing diagnosis module for monitoring the large-scale auxiliary machine can only carry out simple vibration monitoring on the auxiliary machine generally and can not carry out multifunctional detection on the running state of the auxiliary machine in the use process, so that the diagnosis effect is influenced, and the diagnosis module for monitoring the large-scale auxiliary machine has no automatic analysis function due to single function, can not carry out intelligent judgment on faults according to vibration frequency, and reduces the applicability of the diagnosis module for monitoring the large-scale auxiliary machine.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a diagram of a temperature and humidity detection module according to the present invention;
FIG. 3 is a diagram of a warning module according to the present invention.
Detailed Description
Referring to fig. 1-3, a diagnosis module for visual monitoring of a large auxiliary machine comprises a central processing unit, the output end of the central processing unit is respectively and unidirectionally electrically connected with a current detection module, a data analysis module and a warning module, the current can be monitored in real time by arranging the current detection module, the vibration frequency can be analyzed by arranging the data analysis module, so as to intelligently judge the current fault state of the auxiliary machine, the output end of the current detection module is unidirectionally and electrically connected with a power supply module, the input end of the central processing unit is unidirectionally and electrically connected with a mains supply, the central processing unit is bidirectionally and electrically connected with a storage module, the wireless transceiver module is in signal connection with a remote control terminal, a user can conveniently perform wireless remote control by arranging the remote control terminal, the warning module comprises a warning lamp and a buzzer, the input end of the warning lamp and the input end of the buzzer are unidirectionally and electrically connected with the central processing unit, through setting up bee calling organ and warning light, can be when detecting the trouble, carry out audible and visual alarm to the staff, central processing unit is two-way electricity respectively and is connected with infrared imager, ultrasonic detector, the noise measurement appearance, the humiture detection module, vibration sensor, dust concentration sensor, wireless transceiver module and fluid analysis appearance, the noise measurement appearance, be used for the job site, the instrument of noise detection and test of public places such as square, noise pollution is one of the great environmental pollution of influence, noise of higher decibel can cause serious damage to people's eardrum even, cause deafness etc. vibration sensor is one of key parts in the test technology, its effect is mainly that mechanical quantity is received, and convert into the electric quantity that becomes proportion with it, because it also is an electromechanical conversion equipment. Therefore, the device is sometimes called as a transducer, a vibration pickup and the like, the device can know and master the state of the device in the using process by utilizing infrared thermal imaging by arranging an infrared imager, determine whether the whole and the part of the device are normal or not, can detect specific ultrasonic frequency by arranging an ultrasonic detector, identify fault frequency characteristics from different frequency sources or noise sources, realize discovery and reason analysis of early faults of the device and predict fault development trend, can monitor noise generated in the operation process of an auxiliary machine in real time by arranging a noise tester, can detect the vibration frequency of the auxiliary machine by arranging a vibration sensor, can detect the dust concentration of the current environment by arranging a dust concentration sensor, is convenient to detect the lubricating oil quality of the auxiliary machine by arranging an oil analyzer, and a temperature and humidity detection module comprises a temperature sensor and a humidity sensor, temperature sensor and humidity transducer all are connected with central processing unit two-way electricity, through setting up temperature sensor and humidity transducer, can detect the humiture of current environment, and the one-way electricity of data analysis module's output is connected with the display screen, through setting up the display screen, can show fault information.
When the device is used, the infrared imager, the ultrasonic detector, the noise tester and the vibration sensor are arranged on the surface of the auxiliary machine, then the dust concentration sensor and the temperature and humidity sensor are arranged near the auxiliary machine through the mounting rack and used for detecting the air temperature and humidity and the dust concentration near the auxiliary machine, when the motor of the auxiliary machine needs to be electrified, the power supply module is used for supplying power to the motor of the auxiliary machine, the current detection module can detect the current of the motor in real time, the infrared imager utilizes infrared thermal imaging to know and master the state of the device in the using process and determine whether the whole body and the part of the device are normal or not, the ultrasonic detector detects specific ultrasonic frequency and identifies fault frequency characteristics from different frequency sources or noise sources, thereby realizing discovery and reason analysis of early faults of the device and predicting the fault development trend, and the noise tester carries out real-time monitoring on the noise generated in the operation process of the auxiliary machine, vibration sensor detects the vibration frequency of auxiliary engine, central processing unit handles the detection data of each sensor, and with information transmission to data analysis module, data analysis module carries out the analysis to vibration frequency, and carry out contrast discernment according to the vibration frequency of prestore, thereby intelligent judgement fault information, and the fault information transmission after will handling shows for the display screen, then the staff can detect the lubricating oil of auxiliary engine through fluid analysis appearance, further judgement trouble problem.
In summary, the following steps: this diagnostic module is used in visual monitoring of large-scale auxiliary engine, through central processing unit, the current detection module, the data analysis module, the warning module, infrared imaging appearance, ultrasonic detector, the noise tester, the temperature and humidity detection module, vibration sensor and dust concentration sensor's cooperation, it is in the use to have solved current diagnostic module is used in the monitoring of large-scale auxiliary engine, can only carry out simple vibration monitoring to the auxiliary engine usually, can't carry out multi-functional detection to the running state of auxiliary engine, thereby influence its diagnostic effect, and because the function is single, do not have the automatic analysis function, can't judge the trouble according to vibration frequency intellectuality, the problem of large-scale auxiliary engine monitoring with diagnostic module suitability has been reduced.
Claims (5)
1. The utility model provides a diagnostic module is used in visual monitoring of large-scale auxiliary engine, includes central processing unit, its characterized in that: the output end of the central processing unit is respectively and unidirectionally electrically connected with a current detection module, a data analysis module and a warning module, the central processing unit is respectively and bidirectionally electrically connected with an infrared imager, an ultrasonic detector, a noise tester, a temperature and humidity detection module, a vibration sensor, a dust concentration sensor, a wireless transceiver module and a fluid analyzer, and the output end of the data analysis module is unidirectionally electrically connected with a display screen.
2. The diagnostic module for visual monitoring of the large-scale auxiliary machine according to claim 1, characterized in that: the one-way electricity of output of current detection module is connected with power module, the one-way electricity of central processing unit's input is connected with mains supply.
3. The diagnostic module for visual monitoring of the large-scale auxiliary machine according to claim 1, characterized in that: the central processing unit is electrically connected with a storage module in a bidirectional mode, and the wireless transceiving module is in signal connection with a remote control terminal.
4. The diagnostic module for visual monitoring of the large-scale auxiliary machine according to claim 1, characterized in that: the warning module comprises a warning lamp and a buzzer, and the input end of the warning lamp and the input end of the buzzer are both in one-way electric connection with the central processing unit.
5. The diagnostic module for visual monitoring of the large-scale auxiliary machine according to claim 1, characterized in that: the temperature and humidity detection module comprises a temperature sensor and a humidity sensor, and the temperature sensor and the humidity sensor are both electrically connected with the central processing unit in a two-way mode.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202123042116.6U CN216309081U (en) | 2021-12-07 | 2021-12-07 | Diagnostic module for visual monitoring of large-scale auxiliary engine |
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| CN202123042116.6U CN216309081U (en) | 2021-12-07 | 2021-12-07 | Diagnostic module for visual monitoring of large-scale auxiliary engine |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115468911A (en) * | 2022-08-18 | 2022-12-13 | 台州精奥矩阵科技有限公司 | Infrared spectrometer with data analysis function and analysis method |
| CN116429189A (en) * | 2023-06-13 | 2023-07-14 | 武汉能钠智能装备技术股份有限公司 | Low-noise frequency source monitoring method and monitoring device |
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2021
- 2021-12-07 CN CN202123042116.6U patent/CN216309081U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115468911A (en) * | 2022-08-18 | 2022-12-13 | 台州精奥矩阵科技有限公司 | Infrared spectrometer with data analysis function and analysis method |
| CN116429189A (en) * | 2023-06-13 | 2023-07-14 | 武汉能钠智能装备技术股份有限公司 | Low-noise frequency source monitoring method and monitoring device |
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