CN211452846U - Fan fault remote monitoring system based on current signal - Google Patents
Fan fault remote monitoring system based on current signal Download PDFInfo
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- CN211452846U CN211452846U CN201922102205.1U CN201922102205U CN211452846U CN 211452846 U CN211452846 U CN 211452846U CN 201922102205 U CN201922102205 U CN 201922102205U CN 211452846 U CN211452846 U CN 211452846U
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Abstract
The utility model provides a fan trouble remote monitering system based on current signal, include: the device comprises a current sensor, a wireless transmission device, a collecting board card, an upper computer and a start-stop controller or a variable frequency controller. The current sensor measures a current signal flowing through the fan in real time, the acquired current signal is transmitted to the acquisition board card through the wireless transmission device, and the acquisition board card performs analog-to-digital conversion on the signal acquired by the current sensor and transmits the signal to the upper computer; the upper computer performs characteristic extraction and classification on the data transmitted by the acquisition board card and diagnoses the fan fault condition; and the starting and stopping controller or the frequency conversion controller sends out corresponding fault early warning according to the fault condition of the fan and controls the starting and stopping or frequency conversion processing of the fan. The utility model discloses thereby the current data that will gather carry out feature extraction, analysis through the host computer and judge the operation condition of fan, can discover early and clear away the trouble, guarantee that the fan unit moves under high-efficient state.
Description
Technical Field
The utility model belongs to fan trouble control field, concretely relates to fan trouble remote monitering system based on current signal.
Background
A fan is a fluid machine that converts energy of a prime mover into pressure energy and kinetic energy of a gas to be transported, and is widely used in ventilation, dust exhaust, cooling, and the like of factories, mines, tunnels, cooling towers, vehicles, ships, and buildings. The fan exists in the aspect of life, if the fan breaks down, must lead to the fact not negligible influence for production, life. The fan can change the input current under the fault condition, so that the change of the current flowing through the fan under the fault state of the fan is researched, and the fault of the fan can be timely found by monitoring and diagnosing the current of the fan in real time. Most of existing fan fault diagnosis is to monitor the vibration condition of a fan so as to identify faults, vibration measurement is restricted by the site condition, and measurement requirements are strict.
SUMMERY OF THE UTILITY MODEL
According to the instability that carries out fault diagnosis to fan vibration measurement under the traditional condition in order to solve, the utility model provides a fan trouble remote monitering system based on current signal. The system analyzes the current signal of the fan by machine learning, realizes real-time monitoring of the running state of the fan by means of the remote monitoring platform, and rapidly sends out early warning and controls the machine to stop for maintenance if the fan is found to be in fault.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
fan trouble remote monitering system based on current signal includes: the device comprises a current sensor, a wireless transmission device, a collection board card, an upper computer, a start-stop controller or a variable frequency controller and a remote monitor. The current sensor measures a current signal flowing through the fan in real time; the current sensor transmits the acquired current signals to the acquisition board card through the wireless transmission device, and the acquisition board card performs analog-to-digital conversion on the signals acquired by the current sensor and transmits the signals to the upper computer; the upper computer performs characteristic extraction and classification on the data transmitted by the acquisition board card and diagnoses the fan fault condition; the starting and stopping controller or the frequency conversion controller sends out corresponding fault early warning according to the fault condition of the fan and controls the starting and stopping or frequency conversion processing of the fan; the remote monitor receives the diagnosis information of the data diagnosis module in the upper computer and can send instructions to the start-stop controller.
As one of the preferable schemes of the utility model, the upper computer comprises a data processing module and a data diagnosis module, wherein, the data processing module realizes filtering, demodulation, decomposition and reconstruction of the data transmitted by the acquisition board card, acquires data information, and then utilizes a feature extraction algorithm to analyze time domain and frequency domain and extract a feature data value; and the data diagnosis module is used for carrying out signal identification on the characteristic data values by using a machine learning method, classifying and diagnosing the fan fault condition.
The upper computer is any one of a single chip microcomputer, an embedded computer or a microcomputer.
The wireless transmission device may be a Lora-based signal transmitting device, a GPRS signal transmitting device, a wifi-based communication device, a bluetooth communication device, or the like. The start-stop controller can be an electromagnetic relay, a solid relay and the like.
As one of the preferable schemes of the present invention, the current sensor needs a switching power supply to provide a stable voltage and current output for the current sensor; the wireless transmission device comprises a wireless signal transmitter, a wireless signal receiver, a control signal transmitter and a control signal receiver, and the current sensor transmits the acquired current signals to the acquisition board card through the wireless signal transmitter and the wireless signal receiver; and the start-stop controller or the frequency conversion controller controls the start-stop or frequency conversion of the fan through the control signal transmitter and the control signal receiver.
As one of the preferred schemes of the utility model, remote monitoring ware carries out real-time supervision and remote diagnosis to the current signal of fan, and remote monitoring ware receives in the host computer diagnostic information of data diagnosis module or carries out manual diagnosis and can send the instruction for opening and stop the controller, opens and stops controller or frequency conversion controller and send out the police dispatch newspaper and shut down or frequency conversion processing to the fan fault situation according to remote diagnosis information or remote monitoring ware's instruction.
As one of the preferred schemes of the utility model, remote monitoring ware includes remote diagnosis workstation, data server and display device, and remote diagnosis workstation includes intelligent Mobile terminal, and display device is used for showing the diagnostic fan trouble condition of real-time supervision information, remote diagnosis information and data diagnosis module.
Compared with the prior art, the utility model, beneficial effect is:
the utility model discloses starting with the electric current that flows through the fan, thereby the current data that will gather carry out feature extraction, analysis through the host computer and judge the operation condition of fan to discover and clear away the trouble as early as possible, reduce the inefficiency of fan under the fault condition, guarantee that fan unit moves under high-efficient state. The wireless transmission device and the remote monitoring platform are utilized to realize real-time monitoring of the fan, so that the constraint of a monitoring place is eliminated, and the running state of the fan is mastered more flexibly and conveniently.
Drawings
Fig. 1 is a schematic structural diagram of the remote monitoring system of the present invention;
Detailed Description
The technical solution of the present invention will be further explained below.
As shown in fig. 1, the current-based fan fault remote monitoring system according to this embodiment includes a fan 12, an ac power supply 13, a collection board 14, a data processing module 15 in an upper computer, a data diagnosis module 16 in the upper computer, a start/stop controller or a frequency conversion controller 17, a remote monitor 18, a current sensor 21, a wireless signal transmitter 31, a wireless signal receiver 32, a control signal transmitter 33, and a control signal receiver 34.
The current sensor 21 is connected to a lead between the fan 12 and the alternating current power supply 13, the acquisition board card 14 is connected with an upper computer, the acquisition board card 14 and the current sensor 21 transmit signals through a wireless transmission device, and the data diagnosis module 16 in the upper computer is respectively connected with the start-stop controller or the variable frequency controller 17 and the remote monitor 18, so that the system can automatically control the start and stop of the fan by means of diagnosis information and can also manually intervene to control the operation of the fan through a remote monitoring platform.
The current sensor 21 needs a switching power supply to perform stable voltage and current control on the current sensor, and is used for detecting the change of the current of the fan; the current sensor can adopt various types such as electromagnetic type, electronic type and the like, and the installation mode adopts an induction type installation or an access type installation method according to the different types of the sensor and the measured current.
The acquisition board 14 automatically acquires non-electric quantity or electric quantity signals in analog and digital measurement units of a sensor or other equipment to be measured, and sends the non-electric quantity or electric quantity signals to a processor for analysis and processing. The system mainly comprises a data acquisition card and can be accessed to a data acquisition system through buses such as PXI, serial ports, USB, Ethernet or wireless networks.
The upper computer can be any one of a single chip microcomputer, an embedded computer and a microcomputer, a data processing module and a data diagnosis module are embedded in the upper computer, and the two modules belong to one part of the upper computer.
The data processing module 15 in the upper computer performs data preprocessing and feature extraction on the acquired original data information, the data preprocessing performs filtering and demodulation operations such as Hilbert Transform and the like on the data while acquiring macroscopic features, and then decomposition and reconstruction operations such as wavelet packet analysis, frequency domain analysis or CZT (Chirp-Z Transform) are utilized to acquire useful data information, the feature extraction refers to performing time domain and frequency domain analysis on the data by utilizing a feature extraction algorithm, and the feature extraction algorithm can adopt methods such as wavelet packet decomposition, fast Fourier Transform, principal component analysis and the like.
The data diagnosis module 16 in the upper computer processes the extracted characteristic signals by using a machine learning intelligent learning method, classifies data information and diagnoses fan faults and fault types, wherein the machine learning method comprises various learning methods such as an artificial neural network, deep learning, a support vector machine and the like.
The wireless transmission device is a device for transmitting data by utilizing a wireless technology, and can be a signal transmitting device based on Lora, a GPRS signal transmitting device, a communication device based on WIFI, a Bluetooth communication device and the like, and the transmission mode can adopt WIFI, ZigBee, 433MHz, GPRS, Ethernet and the like. The wireless transmission device is composed of a wireless signal transmitter 31, a wireless signal receiver 32, a control signal transmitter 33 and a control signal receiver 34. Wherein, the wireless signal transmitter 31 and the wireless signal receiver 32 are used for transmitting and receiving data signals of the current measuring device 21 for data transmission, and the control signal transmitter 33 and the control signal receiver 34 are used for transmitting and receiving a stop command sent by the alarm and start-stop controller or the variable frequency controller 17 for stopping the fan or changing the rotating speed.
The remote monitor 18 includes a remote diagnostic workstation, a data server and a display device for real-time display of diagnostic information and storage of data. The remote diagnosis workstation can adopt an intelligent mobile terminal, such as a smart phone, a tablet computer and the like. The display equipment is used for displaying real-time monitoring data, remote diagnosis information and diagnosis fault types of the data diagnosis module, so that real-time monitoring of the fan is achieved, a user can conveniently and rapidly know running information of the fan, and control over the fan is achieved.
The start-stop controller or the frequency conversion controller 17 can realize the start-stop control or the change of the rotating speed of the fan according to the diagnosis fault type of the data diagnosis module. The start-stop controller can be an electromagnetic relay, a solid relay and the like. If the fault is diagnosed, the monitor 18 sends out a fault early warning prompt, and the operation of the fan can be controlled according to a control instruction made by a user at a remote diagnosis workstation of the remote monitor 18.
This embodiment fan trouble remote monitoring system carries out the diagnosis of feature extraction and fan trouble condition to fan current through the host computer, can obtain more accurate judgement data to discover and clear away the trouble as early as possible, reduce the inefficiency of fan under the fault condition, guarantee fan unit safety operation under high-efficient state. The wireless transmission device and the remote monitoring platform are utilized to realize real-time monitoring of the fan, so that the constraint of a monitoring place is eliminated, and the running state of the fan is mastered more flexibly and conveniently.
When the fan fault remote monitoring system is adopted to work, the specific operation comprises the following steps:
the method comprises the following steps: measuring and sampling a current signal flowing through the fan 12 by a current sensor 21;
step two: the wireless signal transmitter 31 transmits the acquired measurement data of the current measurement device 21 to the wireless signal receiver 32, and the acquired measurement data is finally received by the acquisition board card 14;
step three: the acquisition board card 14 transmits the acquired data to an upper computer, and a data processing module 15 in the upper computer performs data preprocessing and feature extraction on the acquired original data information. The utility model discloses when utilizing the macroscopic feature, carry out filtering, the demodulation operation of Hilbert Transform etc. to data, then recycle decomposition and reconstruction operation of wavelet packet analysis, frequency domain analysis or CZT conversion (Chirp-Z Transform) etc. to obtain useful data information, and then utilize the feature extraction algorithm to carry out time domain and frequency domain analysis to data in order to draw the characteristic data value.
Step four: and a data diagnosis module 16 in the upper computer performs signal identification on the extracted characteristic data values by using a machine learning intelligent learning method, and classifies data information so as to realize diagnosis of fan fault conditions. The module controls the start and stop of the fan through a start-stop controller 17 according to the diagnosis information;
step five: the start-stop controller or the frequency conversion controller 17 utilizes the control signal transmitter 33 to transmit a start-stop instruction and the control signal receiver 34 to receive the start-stop instruction according to the diagnosis information transmitted by the data diagnosis module 15 or the remote monitor 18, thereby achieving the purpose of controlling the safe operation of the fan.
Step six: the remote monitor 18 monitors the fan current data information in real time, displays the diagnosis information in real time, and the user controls the start-stop mode of the fan in real time according to the diagnosis information.
It is right fan trouble remote monitoring system carries out experimental in-process, through the accurate analysis of host computer to fan current signal to and wireless transmission and electric connection between each equipment, can reach comparatively accurate effect to fan control, guarantee that fan unit moves under high-efficient safe state.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing has been a detailed description of the preferred embodiments and principles of the present invention, and it will be apparent to those skilled in the art that variations may be made in the specific embodiments based on the concepts of the present invention, and such variations are considered as within the scope of the present invention.
Claims (6)
1. Fan trouble remote monitering system based on current signal, its characterized in that includes:
the current sensor measures a current signal flowing through the fan in real time;
the current sensor transmits the acquired current signal to the acquisition board card through the wireless transmission device;
the upper computer is used for carrying out analog-to-digital conversion on the signals acquired by the current sensor by the acquisition board card and transmitting the signals to the upper computer, and the upper computer is used for carrying out feature extraction and classification on the data transmitted by the acquisition board card and diagnosing the fan fault condition;
the remote monitor receives the diagnostic information of the upper computer and sends an instruction to the start-stop controller or the variable frequency controller;
and the start-stop controller or the frequency conversion controller sends out corresponding fault early warning according to the instruction and controls the start-stop or frequency conversion processing of the fan.
2. The fan fault remote monitoring system based on current signals according to claim 1, wherein: the upper computer comprises a data conversion module and a data diagnosis module, wherein the data conversion module is used for filtering, demodulating, decomposing and reconstructing data transmitted by the acquisition board card to acquire data information, and then analyzing a time domain and a frequency domain by using a feature extraction algorithm to extract a feature data value; and the data diagnosis module is used for carrying out signal identification on the characteristic data values by using a machine learning method, classifying and diagnosing the fan fault condition.
3. The fan fault remote monitoring system based on current signals according to claim 2, wherein: the upper computer is any one of a single chip microcomputer, an embedded computer or a microcomputer.
4. The fan fault remote monitoring system based on current signals according to claim 3, wherein: the wireless transmission device comprises a wireless signal transmitter, a wireless signal receiver, a control signal transmitter and a control signal receiver, and the current sensor transmits the acquired current signals to the acquisition board card through the wireless signal transmitter and the wireless signal receiver; and the start-stop controller or the frequency conversion controller controls the start-stop or frequency conversion of the fan through the control signal transmitter and the control signal receiver.
5. The fan fault remote monitoring system based on current signals according to claim 4, wherein: the remote monitor monitors the current signal of the fan in real time and conducts remote manual diagnosis, the remote monitor receives the diagnosis information of the data diagnosis module in the upper computer and sends an instruction to the start-stop controller or the frequency conversion controller, and the start-stop controller or the frequency conversion controller sends out an alarm according to the remote manual diagnosis information or the instruction of the remote monitor and conducts shutdown or frequency conversion processing on the fault condition of the fan.
6. The fan fault remote monitoring system based on current signals according to claim 5, wherein: the remote monitor comprises a remote diagnosis workstation, a data server and a display device, the remote diagnosis workstation comprises an intelligent mobile terminal, and the display device is used for displaying the real-time monitoring information, the remote diagnosis information and the diagnosis fan fault condition of the data diagnosis module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201922102205.1U CN211452846U (en) | 2019-11-29 | 2019-11-29 | Fan fault remote monitoring system based on current signal |
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| CN201922102205.1U CN211452846U (en) | 2019-11-29 | 2019-11-29 | Fan fault remote monitoring system based on current signal |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113095234A (en) * | 2021-04-15 | 2021-07-09 | 泉州文学士信息科技有限公司 | Safety technology prevention monitoring identification information system and method thereof |
| CN117647758A (en) * | 2024-01-30 | 2024-03-05 | 青岛哈尔滨工程大学创新发展中心 | AUV propeller state monitoring system and method based on pre-detection |
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2019
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113095234A (en) * | 2021-04-15 | 2021-07-09 | 泉州文学士信息科技有限公司 | Safety technology prevention monitoring identification information system and method thereof |
| CN117647758A (en) * | 2024-01-30 | 2024-03-05 | 青岛哈尔滨工程大学创新发展中心 | AUV propeller state monitoring system and method based on pre-detection |
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