CN114294188A - 5G-based fan operation and maintenance system and method and electronic equipment - Google Patents
5G-based fan operation and maintenance system and method and electronic equipment Download PDFInfo
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- CN114294188A CN114294188A CN202111606036.0A CN202111606036A CN114294188A CN 114294188 A CN114294188 A CN 114294188A CN 202111606036 A CN202111606036 A CN 202111606036A CN 114294188 A CN114294188 A CN 114294188A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/728—Onshore wind turbines
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Abstract
The invention discloses a 5G-based fan operation and maintenance system, a method and electronic equipment, and belongs to the field of new energy intelligent operation and maintenance and the field of wireless communication. The system comprises a data acquisition unit, an edge calculation unit, a cloud platform and a 5G signal coverage network, and is used for acquiring vibration data, noise conditions and temperature and humidity conditions inside a fan in a fan cabin and a tower in real time, processing the acquired data, and transmitting the processed data to an external centralized control center. The operation and maintenance system can monitor the internal vibration, noise, flange health degree, temperature and humidity and box transformer parameters of the fan in real time through a 5G wireless network in the fan, and can upload the parameters to the wind power plant centralized control center through the cloud platform, so that unattended intelligent operation and maintenance of the wind power plant can be realized.
Description
Technical Field
The invention belongs to the field of new energy intelligent operation and maintenance and the field of wireless communication, and relates to a 5G-based fan operation and maintenance system, a method and electronic equipment.
Background
With the rapid development of the wind power industry, the large-scale on-service wind turbine generator has the characteristics of large number, various types, wide distribution range, remote position and the like. Due to the fact that the wind turbine generator runs in a severe natural environment for a long time, various potential safety hazards are prone to happening to the wind turbine generator, and full-life-cycle operation and maintenance management is urgently needed. At present, the operation and maintenance of the wind turbine generator mainly adopts manual inspection and is assisted with a regular maintenance mode, but the problems of high cost, low efficiency, large potential safety hazard, poor real-time performance and the like exist. The urgent requirements of 'cost reduction and efficiency improvement' in the wind power industry are combined.
Disclosure of Invention
The invention aims to overcome the defects of high cost, low efficiency, large potential safety hazard and poor real-time performance of manual routing inspection adopted for operation and maintenance of a wind turbine generator in the prior art, and provides a 5G-based fan operation and maintenance system, a method and electronic equipment.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
A5G-based wind turbine operation and maintenance system comprises:
the data acquisition unit is used for acquiring vibration data, noise conditions and temperature and humidity conditions inside the fan in real time;
the edge calculation unit is interacted with the data acquisition unit and is used for processing the acquired data;
the cloud platform is interacted with the edge computing unit and transmits the processed data to an external centralized control center;
and the 5G signal coverage network is used for transmitting the acquired data and the processed data.
Preferably, the data acquisition unit comprises a video monitoring module, a vibration detection module, a noise monitoring module and a temperature and humidity monitoring module;
the video monitoring module is used for acquiring real-time video stream information inside and outside the fan engine room and inside and outside the tower barrel;
the vibration detection module is used for acquiring the vibration degree of the fan bearing seat and the shell;
the noise monitoring module is used for acquiring the noise condition inside the fan cabin;
the temperature and humidity monitoring module is used for acquiring temperature and humidity data inside the fan cabin.
Preferably, the cloud platform comprises a data storage module, a judgment module and an alarm module;
the data storage module is interacted with the edge calculation unit and used for storing the processed data;
the judgment module interacts with the data storage module, compares the acquired vibration data, noise condition and temperature and humidity condition in the tower drum with a preset vibration threshold, a preset sound threshold and a preset temperature and humidity threshold, and transmits a signal to the alarm module when any one exceeds the threshold;
the alarm module is interacted with the judgment module and is used for acquiring the signal transmitted by the judgment module and sending an alarm signal.
Preferably, the 5G signal coverage network comprises a 5G RRU remote variable frequency antenna, a fiber converter, a coupler and a power divider;
the 5G RRU remote frequency conversion antenna is distributed in a passive distribution mode;
the optical fiber converter is connected with the tail end of the fan ring network in the fan cabin and converts optical signals in the fan ring network into electric signals;
the coupler and the power splitter are used for power redistribution of the electrical signal.
Preferably, the 5G RRU remote frequency conversion antenna is provided with two paths, one path of feeder line is connected to the 5G RRU remote frequency conversion antenna at the bottom of the tower, and the other path of feeder line is connected to the 5G RRU remote frequency conversion antenna in the fan cabin through the tower.
Preferably, the cloud platform further comprises a video player which interacts with the video monitoring module and is used for transmitting video stream information to the video player, so that personnel in the centralized control center can acquire the conditions inside and outside the wind turbine engine room and the tower drum in real time.
Preferably, the video monitoring module is a plurality of high-definition monitoring cameras which are uniformly arranged inside and outside the fan cabin and inside and outside the tower barrel;
the vibration detection module is a vibration detection sensor and a flange bolt sensor which are arranged in a fan cabin, and the flange bolt sensor is fixed on a plurality of flanges at diagonal lines;
the noise monitoring module is a noise monitoring sensor arranged in a fan cabin;
the temperature and humidity monitoring module is a temperature and humidity monitoring sensor arranged in a fan cabin.
Preferably, the data acquisition unit further comprises a box transformer substation sensor, and the box transformer substation sensor is used for monitoring the working condition inside the box transformer in real time.
A5G-based fan operation and maintenance method comprises the following steps:
step 1) acquiring real-time data in a fan cabin and a tower drum in real time;
the real-time data comprises video stream information inside and outside the fan engine room and inside and outside the tower drum, vibration data of the fan engine room, noise conditions inside the fan engine room and temperature and humidity data inside the fan engine room;
step 2) processing the acquired real-time data to obtain processed data;
and 3) transmitting the processed data to an external centralized control center through a 5G signal coverage network, comparing the acquired vibration data, noise conditions and temperature and humidity conditions in the tower drum with preset vibration thresholds, sound thresholds and temperature and humidity thresholds, and sending an alarm signal when any real-time data exceeds the corresponding threshold.
An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the wind turbine operation and maintenance method when executing the computer program.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a 5G-based fan operation and maintenance system which comprises a data acquisition unit, an edge calculation unit, a cloud platform and a 5G signal coverage network and is used for acquiring vibration data, noise conditions and fan internal temperature and humidity conditions in a fan cabin and a tower in real time, processing the acquired data and transmitting the processed data to an external centralized control center. The operation and maintenance system can monitor the internal vibration, noise, flange health degree, temperature and humidity and box transformer parameters of the fan in real time through a 5G wireless network in the fan, and can upload the parameters to the wind power plant centralized control center through the cloud platform, so that unattended intelligent operation and maintenance of the wind power plant can be realized.
Further, a 5GRRU remote frequency conversion antenna system is deployed in a single fan, and a passive distribution system is adopted. The passive distribution system mainly comprises passive devices such as a photoelectric converter, a coupler, a power divider, a feeder line and the like, a cable and a 5GRRU antenna except a signal source. The passive distribution system firstly extracts optical fiber signals in the looped network of the fan through the photoelectric converter, branches are carried out through passive devices such as the coupler and the power divider, and the signals are uniformly distributed to 5GRRU antennas which are arranged at the bottom of a tower barrel and in a cabin inside the fan through a feeder line as far as possible, so that the 5G signals inside the fan are uniformly distributed.
Drawings
FIG. 1 is a schematic view of a wireless network coverage structure inside a fan;
FIG. 2 is a schematic diagram of an intelligent operation and maintenance system.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
example 1
A5G-based wind turbine operation and maintenance system comprises:
the data acquisition unit is used for acquiring vibration data, noise conditions and temperature and humidity conditions inside the fan in real time;
the edge calculation unit is interacted with the data acquisition unit and is used for processing the acquired data;
the cloud platform is interacted with the edge computing unit and transmits the processed data to an external centralized control center;
and the 5G signal coverage network is used for transmitting the acquired data and the processed data.
Example 2
A5G-based wind turbine operation and maintenance system is shown in FIG. 2 and comprises:
the data acquisition unit is used for acquiring vibration data, noise conditions and temperature and humidity conditions inside the fan in real time;
the data acquisition unit comprises a video monitoring module, a vibration detection module, a noise monitoring module and a temperature and humidity monitoring module;
the video monitoring module is used for acquiring real-time video stream information inside and outside the fan engine room and inside and outside the tower barrel;
the vibration detection module is used for acquiring the vibration degrees of the key parts of the bearing seat and the shell of the fan cabin;
the noise monitoring module is used for acquiring the noise condition inside the fan cabin;
the temperature and humidity monitoring module is used for acquiring temperature and humidity data inside the fan cabin.
The cloud platform comprises a data storage module, a judgment module and an alarm module;
the data storage module is interacted with the edge calculation unit and used for storing the processed data;
the judgment module interacts with the data storage module, compares the acquired vibration data, noise condition and temperature and humidity condition in the tower drum with a preset vibration threshold, a preset sound threshold and a preset temperature and humidity threshold, and transmits a signal to the alarm module when any one exceeds the threshold;
the alarm module is interacted with the judgment module and is used for acquiring the signal transmitted by the judgment module and sending an alarm signal.
Example 3
As shown in fig. 1, a 5G RRU remote variable frequency antenna system is deployed inside a single fan, and a passive distribution system is adopted. In the specific device deployment, the optical fiber converter is connected with the tail end of the fan ring network in the fan, and converts optical signals in the fan ring network into electric signals; then, the electric signal is subjected to power redistribution through a coupler and a power distributor at the bottom of the fan tower; through two paths of feeders, one feeder is connected to the 5G RRU antenna at the tower bottom, and the other feeder is connected to the 5G RRU antenna in the engine room through the tower, so that the 5G wireless signal coverage in the whole fan is completed.
An intelligent operation and maintenance system is deployed on a centralized control center cloud platform, and as shown in fig. 2, the system is composed of an edge computing unit, a data acquisition unit and a cloud platform. The data acquisition unit is intelligent sensor equipment and comprises a high-definition monitoring camera, a vibration detection sensor, a noise monitoring sensor, a flange bolt sensor, a temperature and humidity monitoring sensor and a box transformer substation sensor. Specifically, the high-definition monitoring camera monitors conditions in a fan cabin and a tower drum in real time, and uploads real-time video streams to a large screen of a centralized control center through a wireless network, and personnel in the centralized control center can remotely monitor the large screen. The vibration detection sensor is deployed at a key part of the fan cabin, monitors the vibration degree of key equipment of the cabin, and sends out an alarm signal to remind operators and commanders in a centralized control center if the vibration degree exceeds a threshold value or the vibration rate exceeds a threshold value. The noise monitoring sensor monitors the internal noise condition of the fan, and indirectly judges whether the internal equipment of the fan normally works or not through measuring the sound intensity in the fan. The flange bolt sensors are fixed on a plurality of flanges of the diagonal line, and whether the tower footing of the fan is safe or not is judged by monitoring the deformation degree of the flanges. Temperature and humidity monitoring sensors monitor the temperature and humidity conditions inside the fan, and whether equipment inside the fan is in a normal working environment or not is judged by measuring the temperature and humidity inside the fan. The box transformer sensor monitors the working condition inside the box transformer. The sensor equipment is uploaded to a centralized control center through a cloud platform, and unattended intelligent operation and maintenance of the wind power plant are achieved.
Example 4
In an exemplary embodiment, a computer device is also provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the deep neural network based channel estimation method when executing the computer program. The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic, discrete hardware components, etc.
In summary, in view of the urgent need of 'cost reduction and efficiency improvement' in the wind power industry, the invention builds the intelligent operation and maintenance system of the wind generating set through technologies such as intelligent sensor equipment and a cloud platform based on the 5G communication technology. Carry out indoor cover through 5GRRU terminal antenna, investment cost is low, and the monitoring sensor of fortune dimension system is multiple in kind, is fit for the monitoring of full cycle fan fortune dimension, and sensor monitoring signal passes through the cloud platform and uploads centralized control center, can realize wind-powered electricity generation field unmanned on duty intelligence fortune dimension.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (10)
1. The utility model provides a fan fortune dimension system based on 5G which characterized in that includes:
the data acquisition unit is used for acquiring vibration data, noise conditions and temperature and humidity conditions inside the fan in real time;
the edge calculation unit is interacted with the data acquisition unit and is used for processing the acquired data;
the cloud platform is interacted with the edge computing unit and transmits the processed data to an external centralized control center;
and the 5G signal coverage network is used for transmitting the acquired data and the processed data.
2. The 5G-based draught fan operation and maintenance system according to claim 1, wherein the data acquisition unit comprises a video monitoring module, a vibration detection module, a noise monitoring module and a temperature and humidity monitoring module;
the video monitoring module is used for acquiring real-time video stream information inside and outside the fan engine room and inside and outside the tower barrel;
the vibration detection module is used for acquiring the vibration degree of the fan bearing seat and the shell;
the noise monitoring module is used for acquiring the noise condition inside the fan cabin;
the temperature and humidity monitoring module is used for acquiring temperature and humidity data inside the fan cabin.
3. The 5G-based wind turbine operation and maintenance system according to claim 1, wherein the cloud platform comprises a data storage module, a judgment module and an alarm module;
the data storage module is interacted with the edge calculation unit and used for storing the processed data;
the judgment module interacts with the data storage module, compares the acquired vibration data, noise condition and temperature and humidity condition in the tower drum with a preset vibration threshold, a preset sound threshold and a preset temperature and humidity threshold, and transmits a signal to the alarm module when any one exceeds the threshold;
the alarm module is interacted with the judgment module and is used for acquiring the signal transmitted by the judgment module and sending an alarm signal.
4. The 5G-based wind turbine operation and maintenance system according to claim 1, wherein the 5G signal coverage network comprises a 5G RRU remote variable frequency antenna, a fiber converter, a coupler and a power distributor;
the 5G RRU remote frequency conversion antenna is distributed in a passive distribution mode;
the optical fiber converter is connected with the tail end of the fan ring network in the fan cabin and converts optical signals in the fan ring network into electric signals;
the coupler and the power splitter are used for power redistribution of the electrical signal.
5. The 5G-based wind turbine operation and maintenance system according to claim 4, wherein the 5G RRU remote frequency conversion antenna is provided with two paths, one path of feeder line is connected to the 5G RRU remote frequency conversion antenna at the bottom of the tower, and the other path of feeder line is connected to the 5G RRU remote frequency conversion antenna in the wind turbine cabin through the tower.
6. The wind turbine operation and maintenance system based on 5G according to claim 2, wherein the cloud platform further comprises a video player interacting with the video monitoring module, and the video player is used for transmitting video stream information to the video player, so that centralized control center personnel can acquire conditions inside and outside the wind turbine cabin and the tower in real time.
7. The 5G-based fan operation and maintenance system according to claim 2, wherein the video monitoring modules are a plurality of high-definition monitoring cameras which are uniformly arranged inside and outside the fan cabin and inside and outside the tower drum;
the vibration detection module is a vibration detection sensor and a flange bolt sensor which are arranged in a fan cabin, and the flange bolt sensor is fixed on a plurality of flanges at diagonal lines;
the noise monitoring module is a noise monitoring sensor arranged in a fan cabin;
the temperature and humidity monitoring module is a temperature and humidity monitoring sensor arranged in a fan cabin.
8. The 5G-based wind turbine operation and maintenance system according to claim 1, wherein the data acquisition unit further comprises a box transformer sensor, and the box transformer sensor is used for monitoring the working condition inside the box transformer in real time.
9. A5G-based fan operation and maintenance method is characterized by comprising the following steps:
step 1) acquiring real-time data in a fan cabin and a tower drum in real time;
the real-time data comprises video stream information inside and outside the fan engine room and inside and outside the tower drum, vibration data of the fan engine room, noise conditions inside the fan engine room and temperature and humidity data inside the fan engine room;
step 2) processing the acquired real-time data to obtain processed data;
and 3) transmitting the processed data to an external centralized control center through a 5G signal coverage network, comparing the acquired vibration data, noise conditions and temperature and humidity conditions in the tower drum with preset vibration thresholds, sound thresholds and temperature and humidity thresholds, and sending an alarm signal when any real-time data exceeds the corresponding threshold.
10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the wind turbine operation and maintenance method of claim 7 when executing the computer program.
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CN113543153A (en) * | 2021-07-15 | 2021-10-22 | 国家电投集团广西兴安风电有限公司 | Wind power plant fan wireless network system |
CN114339790A (en) * | 2021-12-25 | 2022-04-12 | 华能湖南桂东风电有限责任公司 | Fan internal network covering method and system based on 5G |
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CN102287330A (en) * | 2011-07-25 | 2011-12-21 | 哈尔滨理工大学 | Wind farm remote real-time monitoring and intelligent video remote viewing system adopting 3rd generation (3G) network |
EP2672110A2 (en) * | 2012-06-06 | 2013-12-11 | RWE Innogy GmbH | Control of a wind energy system |
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