CN211261438U - Defrosting control system based on fan vibration and information fusion - Google Patents
Defrosting control system based on fan vibration and information fusion Download PDFInfo
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Abstract
The utility model provides a defrosting control system based on fan vibration and information fusion, include: the vibration measuring device is used for measuring a vibration signal of a fan of the air source heat pump evaporator in real time; the temperature measuring device monitors the air temperature at the refrigerant inlet of the air source heat pump evaporator in real time; the pressure measuring device is used for measuring the evaporation pressure at the outlet of the air source heat pump evaporator in real time; the data acquisition module is used for acquiring the vibration signal, the air temperature and the evaporation pressure; the data conversion module is used for filtering, demodulating, decomposing and reconstructing the data acquired by the data acquisition module and extracting a characteristic data value by using a characteristic extraction algorithm; the data diagnosis module is used for carrying out signal identification on the characteristic data value by using a machine learning method, classifying and diagnosing the frosting condition; and the defrosting control module is used for controlling defrosting of the air source heat pump evaporator according to the frosting diagnosis condition. The utility model provides the high precision that the defrosting was judged, heat pump operating efficiency is high, practices thrift the cost.
Description
Technical Field
The utility model belongs to the technical field of the heat pump defrosting, concretely relates to defrosting control system based on fan vibration and information fusion.
Background
The heat pump is an energy-saving and environment-friendly heating and cooling device, and is a device which consumes part of high-level energy to enable heat to flow from a low-level heat source to a high-level heat source. The air source heat pump uses air as a low-level heat source, and because the air is inexhaustible, and the air source heat pump device is convenient to install and use, the air source heat pump device receives wide attention. The air source heat pump has the advantages of wide application range, low operation cost, no environmental pollution and good energy-saving and emission-reducing effects, and is widely applied to the fields of chemical industry, heat energy, heating ventilation and the like.
When the air source heat pump is used for heating in winter, because the temperature of the tube wall is lower than 0 ℃, moisture in air attached to the tube wall of the evaporator can be condensed into frost. The thickened frost layer can block an air side channel, increase the flow resistance and reduce the air flow, thereby causing the performance attenuation of a fan of an outdoor heat exchanger, the COP (coefficient of performance) reduction of a heat pump unit, the heating capacity reduction and the low operation efficiency. At present, the frosting judgment basis of the heat exchanger is mostly measured according to the temperature, and the frosting is considered to be generated when the temperature is lower than a certain temperature. The judgment method is easily interfered by external factors such as weather conditions and the like, so that the wrong defrosting or the untimely defrosting is caused.
Disclosure of Invention
Aiming at the problem of low defrosting efficiency caused by inaccurate frosting judgment at present, the defrosting control system based on fan vibration and information fusion is provided. The system mainly takes the vibration condition of the fan as a criterion, combines the outdoor air temperature and the evaporation pressure of the outdoor heat exchanger of the air source heat pump to perform information fusion, and utilizes intelligent learning methods such as machine learning and the like to analyze so as to realize the judgment of the state of the outdoor heat exchanger of the air source heat pump.
In order to achieve the purpose of the invention, the utility model adopts the following technical scheme:
defrosting control system based on fan vibration and information fusion includes: the vibration measuring device is used for measuring a vibration signal of a fan of the air source heat pump evaporator in real time; the temperature measuring device monitors the air temperature at the refrigerant inlet of the air source heat pump evaporator in real time; the pressure measuring device is used for measuring the evaporation pressure at the outlet of the air source heat pump evaporator in real time; the data acquisition module is used for acquiring the vibration signal, the air temperature and the evaporation pressure; 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 frosting conditions; and the defrosting control module is used for carrying out defrosting control on the air source heat pump evaporator according to the frosting diagnosis condition.
As one of the preferable schemes of the control method of the present invention, in the data conversion module, the Hilbert transform is used for filtering and demodulating operations, and the wavelet packet analysis, the frequency domain analysis or the CZT transform is used for decomposition and reconstruction operations.
As one of the preferable schemes of the control method of the present invention, the feature extraction algorithm employs any one of wavelet packet decomposition, fast fourier transform, and principal component analysis.
As one of the preferable schemes of the control method of the present invention, the machine learning method includes an artificial neural network learning method, a deep learning method, and a support vector machine learning method.
As one of the preferred scheme of control method, still include the remote monitoring module, it is right vibration signal, air temperature and evaporating pressure carry out real-time supervision and remote diagnosis, and the remote monitoring module links to each other with data diagnosis module and defrosting control module, and defrosting control module carries out defrosting control according to the diagnostic condition of frosting of remote diagnosis information or data diagnosis module.
As one of the preferred scheme of control method, the remote monitoring module includes remote diagnosis workstation, data server and display device, and the remote diagnosis workstation includes intelligent Mobile terminal, and display device is used for showing the diagnosis frosting condition of real-time supervision information, remote diagnosis information and data diagnosis module.
As one of the preferable schemes of the control method of the present invention, the vibration measuring device includes a power supply and a vibration sensor, and the vibration sensor is installed at any position of the fan base, the fan bearing seat or the fan housing.
Compared with the prior art, the utility model, beneficial effect is:
the defrosting control system monitors the state of the air source heat pump heat exchanger by combining the air temperature and the evaporation pressure parameter for information fusion based on the fan vibration of the air source heat pump outdoor side heat exchanger, overcomes the defect that the frosting of the heat pump is judged only by the single information of the temperature under the traditional condition, and improves the judgment precision; the machine learning is utilized to process the data information, so that the defrosting is accurately and rapidly controlled, the defects of low defrosting efficiency and poor defrosting effect caused by untimely defrosting and mistaken defrosting in the prior art are overcome, the operating efficiency of the heat pump system is improved, the mechanical damage caused by overlong frosting time is reduced, and the purpose of saving the cost is achieved.
Drawings
Fig. 1 is a schematic structural diagram of the control 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 defrosting control system based on fan vibration and information fusion proposed by this embodiment includes: the system comprises an air source heat pump circulating system 11, a fan 12 of an air source heat pump evaporator, an alternating current power supply 13, a data acquisition module 14, a data conversion module 15, a data diagnosis module 16, a defrosting control module 17, a remote monitoring module 18, a vibration measuring device 22, a temperature measuring device 23 and a pressure measuring device 24.
The fan 12 of the air source heat pump evaporator is used for increasing the wind speed around the evaporator in the air source heat pump circulating system 11 to achieve forced convection, the data acquisition module 14 is connected with the vibration measurement device 22, the temperature measurement device 23 and the pressure measurement device 24 respectively to acquire and collect data, the data acquisition module 14, the data conversion module 15 and the data diagnosis module 16 are sequentially connected, the data acquisition module 14 and the vibration measurement device 22 transmit signals through the wireless data transmission device, and the data diagnosis module 16 is connected with the defrosting control module 17 and the remote monitoring module 18 respectively, so that the system automatically controls defrosting by means of diagnosis information, and can also control defrosting by means of manual intervention of a remote monitoring platform.
The vibration measuring device 22 is used for monitoring the vibration condition of the air source heat pump outdoor side heat exchanger fan and comprises a power supply and a vibration sensor. The vibration sensor can adopt various types such as a piezoelectric type, a capacitance type, an inductance type, a resistance strain type and the like, and the installation position can be arranged on a bearing seat, a fan shell and the like besides the fan base. The installation mode can select various modes such as screw installation, magnetic installation, probe installation or adhesive bonding according to different types and installation positions of the sensor. The vibration measuring device transmits the measured vibration signal to the data acquisition device.
The temperature measuring device 23 is used for detecting the air temperature near the refrigerant inlet of the air source heat pump evaporator. The device can adopt other temperature measuring instruments such as a temperature sensor and the like, is arranged at the inlet of the evaporator of the air source heat pump, and the measured temperature signal is transmitted to the data acquisition device.
The pressure measuring device 24 is used for measuring the evaporator outlet pressure of the air source heat pump, namely the evaporation pressure. The device can adopt other pressure measuring instruments such as a pressure sensor and the like, is arranged at the outlet of the evaporator of the air source heat pump, and transmits a measured pressure signal to the data acquisition device.
The data acquisition module 14 automatically acquires non-electric quantity or electric quantity signals in analog and digital measurement units of a sensor or other devices 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 data conversion module 15 performs data preprocessing and feature extraction on the acquired original data information, the data preprocessing includes filtering, demodulating, decomposing and reconstructing the data to acquire useful data information, the feature extraction refers to performing time domain and frequency domain analysis on the data by using a feature extraction algorithm, and the feature extraction algorithm can adopt wavelet packet decomposition, fast fourier transform, principal component analysis and the like.
The data diagnosis module 16 performs signal processing on the extracted feature signals by using a machine learning intelligent learning method, and classifies data information to diagnose frosting faults, 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 remote monitoring module 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 device is used for displaying real-time monitoring data, remote diagnosis information and diagnosis frosting conditions of the data diagnosis module, real-time monitoring of the air source heat pump evaporator is achieved, a user can conveniently and rapidly know heat pump information, and control over the heat pump is achieved.
The defrosting control module 17 may implement defrosting control according to the frosting diagnosis of the data diagnosis module, and control the heat pump to defrost if a frosting fault is diagnosed. Meanwhile, the defrosting control can also be performed according to a defrosting instruction made by a user at a remote diagnosis workstation of the remote monitoring module 18.
According to the defrosting control system, based on the vibration of the fan of the outdoor heat exchanger of the air source heat pump, the state of the air source heat pump heat exchanger is monitored by combining the air temperature and the evaporation pressure parameters to perform information fusion, so that the defect that the frosting of the heat pump is judged only by the single information of the temperature in the traditional situation is overcome, and the judgment precision is improved; the machine learning is utilized to process the data information, so that the defrosting is accurately and rapidly controlled, the defects of low defrosting efficiency and poor defrosting effect caused by untimely defrosting and mistaken defrosting in the prior art are overcome, the operating efficiency of the heat pump system is improved, the mechanical damage caused by overlong frosting time is reduced, and the purpose of saving the cost is achieved.
When the control system is adopted to perform defrosting control, the specific operation comprises the following steps:
the method comprises the following steps: the vibration measuring device 22, the temperature measuring device 23 and the pressure measuring device 24 respectively measure the fan vibration, the outdoor air temperature and the evaporation pressure of the heat pump;
step two: the data acquisition module 14 transmits the data acquired by each measurement device to the data conversion module 15, the data conversion module 15 performs data preprocessing and feature extraction on the acquired original data information, filters, demodulates, decomposes and reconstructs the data to acquire useful data information, and then performs time domain and frequency domain analysis on the data by using a feature extraction algorithm to extract a feature data value.
Step three: the data diagnosis module 15 performs information fusion on the extracted characteristic data value by combining two parameters of outdoor air temperature and evaporation pressure based on fan vibration data, performs signal processing by using a machine learning intelligent learning method, and classifies data information to realize diagnosis of frosting faults. The module performs defrosting control through a defrosting control module 17 according to the diagnosis information;
step four: the remote monitoring module 18 monitors the heat pump current data information in real time, displays the diagnosis information in real time, and controls the defrosting mode of the heat pump in real time according to the diagnosis information by a user.
It is right control system carries out experimental in-process to the fan vibration of the outdoor side heat exchanger of air source heat pump is the basis, combines air temperature and the multiple data information of evaporating pressure to fuse and monitor air source heat pump heat exchanger state, and through the accurate analysis of data conversion module and data diagnosis module, can reach comparatively accurate defrosting control effect, guarantees that air source heat pump set moves under high-efficient 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 (4)
1. Defrosting control system based on fan vibration and information fusion, its characterized in that includes:
the vibration measuring device is used for measuring a vibration signal of a fan of the air source heat pump evaporator in real time;
the temperature measuring device monitors the air temperature at the refrigerant inlet of the air source heat pump evaporator in real time;
the pressure measuring device is used for measuring the evaporation pressure at the outlet of the air source heat pump evaporator in real time;
the data acquisition module is used for acquiring the vibration signal, the air temperature and the evaporation pressure;
the data conversion module is used for filtering, demodulating, decomposing and reconstructing the data acquired by the data acquisition module to acquire data information, then analyzing the time domain and the frequency domain by using a characteristic extraction algorithm to extract a characteristic data value,
the data diagnosis module is used for carrying out signal identification on the characteristic data value by using a machine learning method, classifying and diagnosing the frosting condition;
and the defrosting control module is used for carrying out defrosting control on the air source heat pump evaporator according to the frosting diagnosis condition.
2. The control system of claim 1, wherein: the remote monitoring module is connected with the data diagnosis module and the defrosting control module, and the defrosting control module carries out defrosting control according to the remote diagnosis information or the diagnosis frosting condition of the data diagnosis module.
3. The control system of claim 2, wherein: the remote monitoring module 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 frosting condition of the data diagnosis module.
4. The control system according to any one of claims 1 to 3, characterized in that: the vibration measuring device comprises a power supply and a vibration sensor, and the vibration sensor is arranged at any position of the fan base, the fan bearing seat or the fan shell.
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| CN201921997490.1U CN211261438U (en) | 2019-11-19 | 2019-11-19 | Defrosting control system based on fan vibration and information fusion |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110779264A (en) * | 2019-11-19 | 2020-02-11 | 浙江工业大学 | Defrosting control system and control method based on fan vibration and information fusion |
| CN112665241A (en) * | 2020-12-10 | 2021-04-16 | 珠海格力电器股份有限公司 | Frosting detection structure, condensing unit and defrosting method thereof |
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2019
- 2019-11-19 CN CN201921997490.1U patent/CN211261438U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110779264A (en) * | 2019-11-19 | 2020-02-11 | 浙江工业大学 | Defrosting control system and control method based on fan vibration and information fusion |
| CN112665241A (en) * | 2020-12-10 | 2021-04-16 | 珠海格力电器股份有限公司 | Frosting detection structure, condensing unit and defrosting method thereof |
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