TWM627284U - Fault detection system for smart networked wind turbine - Google Patents
Fault detection system for smart networked wind turbine Download PDFInfo
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Abstract
一種智慧聯網風力發電機故障偵測系統,至少包括一風力發電機、一可程式邏輯控制器、一物聯網監控系統、一中央監控中心、一行動通訊裝置及一擴增實境視覺裝置。利用該擴增實境視覺裝置來即時獲得該風力發電機運轉的各項狀態訊號,並將該風力發電機的故障現場狀況經由該擴增實境視覺裝置透過該行動通訊裝置回傳給該中央監控中心,該中央監控中心再依據該故障現場狀況發送維修指導畫面,該維修指導畫面則透過該行動通訊裝置來傳輸到該擴增實境視覺裝置,讓該擴增實境視覺裝置呈現出維修指導畫面。 An intelligent networked wind turbine fault detection system includes at least a wind turbine, a programmable logic controller, an Internet of things monitoring system, a central monitoring center, a mobile communication device and an augmented reality visual device. The augmented reality visual device is used to obtain various status signals of the wind turbine running in real time, and the fault scene status of the wind turbine is sent back to the center through the augmented reality visual device through the mobile communication device The monitoring center, the central monitoring center then sends a maintenance guidance screen according to the fault site condition, and the maintenance guidance screen is transmitted to the augmented reality visual device through the mobile communication device, so that the augmented reality visual device presents a maintenance Guidance screen.
Description
本新型係關於一種智慧聯網風力發電機故障偵測系統,特別是一種利用擴增實境來協助維修的智慧聯網風力發電機故障偵測系統。 The new model relates to a fault detection system for an intelligent networked wind turbine, in particular to a fault detection system for an intelligent networked wind turbine that uses augmented reality to assist in maintenance.
風力發電機設置的數量快速成長,因此風力發電機的故障件數也逐年成長。而風力發電機故障原因,通常由許多不良因素合併產生,尤其對於包含天候、風場設計、風力發電機安裝、風力發電機設備、風力發電機品質等因素所影響,因此現場的維修都是必須透過訓練有素且經驗豐富的維修人員來進行修護。 The number of wind turbine installations is growing rapidly, so the number of wind turbine failures is also increasing year by year. The failure of wind turbines is usually caused by the combination of many adverse factors, especially for factors including weather, wind farm design, wind turbine installation, wind turbine equipment, wind turbine quality and other factors, so on-site maintenance is a must Repairs are performed by trained and experienced maintenance personnel.
然而,當目前風力發電機設置的數量快速成長時,要在短時間內培養出大批訓練有素且經驗豐富的維修人員是不可能的,因此如何在短時間內讓訓練週期不長且無豐富經驗的維修人員也可以立即上手進行後續的修護工作,乃是目前業界與學界亟於解決的問題之一。 However, when the current number of wind turbines is growing rapidly, it is impossible to train a large number of well-trained and experienced maintenance personnel in a short period of time, so how to make the training period not long and rich in a short period of time? Experienced maintenance personnel can also immediately start the follow-up maintenance work, which is one of the urgent problems that the industry and academia need to solve.
本新型在於提供一智慧聯網風力發電機故障偵測系統,主要是透過擴增實境即時獲得風力發電機運轉的各項狀態訊號,並透過該擴增 實境來取得維修指導畫面來進行故障排除的一種智慧聯網風力發電機故障偵測系統。 The present invention provides an intelligent networked wind turbine fault detection system, which mainly obtains various status signals of the operation of the wind turbine in real time through augmented reality, and through the augmented reality An intelligent networked wind turbine fault detection system that obtains the maintenance guidance screen for troubleshooting.
本新型實施例所揭露的一種智慧聯網風力發電機故障偵測系統,至少包括一風力發電機、一可程式邏輯控制器、一物聯網監控系統、一中央監控中心、一行動通訊裝置及一擴增實境視覺裝置。其中該可程式邏輯控制器,用於收集該風力發電機的運轉狀態的各項訊號;該物聯網監控系統,用於整合連結該各項訊號,並將該整合後的各項訊號透過一工業乙太網路傳送出去;該中央監控中心,用於接收從該工業乙太網路傳送過來的各項訊號,並將該各項訊號透過一風力機故障瑕庛模型進行分析比對,再將分析比對後的分析結果透過一高速通訊網路傳送出去;該行動通訊裝置,用於接收從該高速通訊網路傳送過來的分析結果,並將分析結果從該行動通訊裝置上呈現出來;該擴增實境視覺裝置,用於將該風力發電機的故障現場狀況經由該擴增實境視覺裝置透過一無線個人區域網路回傳到該行動通訊裝置上,再透過該行動通訊裝置經由該高速通訊網路將故障現場的狀況回傳給該中央監控中心。 A fault detection system for an intelligent networked wind turbine disclosed in this new embodiment includes at least a wind turbine, a programmable logic controller, an Internet of Things monitoring system, a central monitoring center, a mobile communication device, and an expansion device. Augmented reality visual installation. The programmable logic controller is used to collect various signals of the operating status of the wind turbine; the Internet of Things monitoring system is used to integrate and connect the various signals, and transmit the integrated signals through an industrial Ethernet network transmission; the central monitoring center is used to receive various signals transmitted from the industrial Ethernet network, and analyze and compare the various signals through a wind turbine fault defect model, and then analyze and compare the various signals. The analysis result after analysis and comparison is transmitted through a high-speed communication network; the mobile communication device is used for receiving the analysis result transmitted from the high-speed communication network, and presents the analysis result from the mobile communication device; the amplification A reality vision device for transmitting the fault site condition of the wind turbine through the augmented reality vision device through a wireless personal area network back to the mobile communication device, and then through the high-speed communication network through the mobile communication device The road will send back the status of the fault site to the central monitoring center.
以上關於本新型內容的說明及以下實施方式的說明係用以示範與解釋本新型的原理,並且提供本新型的專利申請範圍更進一步的解釋。 The above description of the content of the present invention and the description of the following embodiments are used to demonstrate and explain the principle of the present invention, and provide further explanation of the scope of the patent application of the present invention.
1:風力發電機 1: Wind Turbine
2:中央監控中心 2: Central monitoring center
21:風力機故障瑕疵模型 21: Wind Turbine Fault Defect Model
3:行動通訊裝置 3: Mobile communication device
4:擴增實境視覺裝置 4: Augmented reality visual device
10:葉片組 10: Blade set
101:第一伺服馬達 101: The first servo motor
20:機艙 20: Cabin
201:第二伺服馬達 201: Second Servo Motor
201a:馬達軸承 201a: Motor bearings
202:增速齒輪機 202: Speed up gear machine
202a:齒輪軸承 202a: Gear Bearings
203:繞線式感應發電機 203: Wound Induction Generator
203a:電機軸承 203a: Motor bearings
204:第一振動感測器 204: First Vibration Sensor
205:第二振動感測器 205: Second vibration sensor
206:第三振動感測器 206: Third vibration sensor
207:第四振動感測器 207: Fourth vibration sensor
208:第一溫度感測器 208: First temperature sensor
209:第二溫度感測器 209: Second temperature sensor
210:火焰感測器 210: Flame Sensor
211:氣體感測器 211: Gas sensor
212:弧光感測器 212: Arc Sensor
213:紅外線熱影像儀 213: Infrared Thermal Imager
214:滅火設備 214: Fire Extinguishing Equipment
30:支撐塔 30: Support tower
301:可程式邏輯控制器 301: Programmable Logic Controller
302:物聯網監控系統 302: IoT Monitoring System
303:第三伺服馬達 303: Third Servo Motor
303a:支撐軸承 303a: Support bearing
304:伺服馬達驅動器 304: Servo motor driver
305:編碼器 305: Encoder
306:感測放大器 306: Sense Amplifier
307:交流電力錶 307: AC Electricity Meter
3071:橋式整流器 3071: Bridge Rectifier
3072:可調式電子負載 3072: Adjustable Electronic Load
51:第一網路 51: First Network
52:第二網路 52: Second Network
53:第三網路 53: Third Network
圖1為本新型之智慧聯網風力發電機故障偵測系統的整體實施方塊示意圖; FIG. 1 is a schematic block diagram of the overall implementation of the new intelligent networked wind turbine fault detection system;
圖2為本新型之智慧聯網風力發電機故障偵測系統的風力發電機之整體架構方塊示意圖。 FIG. 2 is a schematic block diagram of the overall structure of the wind turbine of the new intelligent networked wind turbine fault detection system.
請參閱圖1及圖2,圖1為本新型之智慧聯網風力發電機故障偵測系統的整體實施方塊示意圖,圖2為本新型之智慧聯網風力發電機故障偵測系統的風力發電機之整體架構方塊示意圖。 Please refer to FIG. 1 and FIG. 2. FIG. 1 is a schematic block diagram of the overall implementation of the new intelligent networked wind turbine fault detection system, and FIG. 2 is the entire wind turbine of the new intelligent networked wind turbine fault detection system. Architecture block diagram.
本新型所揭露的一種智慧聯網風力發電機故障偵測系統,至少包括一風力發電機1、一可程式邏輯控制器(Programmable Logic Controller,PLC)301、一物聯網監控系統302、一中央監控中心2、一行動通訊裝置3及一擴增實境(Augmented Reality,AR)視覺裝置4。
An intelligent networked wind turbine fault detection system disclosed in the present invention at least includes a
其中該可程式邏輯控制器301用於收集該風力發電機1的運轉狀態的各項訊號,再利用該物聯網監控系統302來整合連結該各項訊號,並將整合後的該各項訊號透過一第一網路51傳輸至一中央監控中心2的一風力機故障瑕疵模型21進行分析比對,並將分析比對後的結果透過一第二網路52來傳送到現場維修人員的該行動通訊裝置3上,能讓現場維修人員能快速找到故障原因及位置。然後該現場維修人員再將該風力發電機1的故障現場狀況經由該擴增實境視覺裝置4透過一第三網路53傳送到該行動通訊裝置3上,再透過該行動通訊裝置3經由該第二網路52將故障現場的狀況回傳給該中央監控中心2,再由該中央監控中心2發送指令來指導現場維修人員,該指令會再依序經過該第二網路52、該行動通訊裝置3及該第三網路53來傳輸到該擴增實境視覺裝置4上,讓該擴增實境視覺裝置4呈現出維修指導畫面,好讓現場維修人員能快速且正確的進行後續的故障維修。
The
其中該風力機故障瑕疵模型21至少包括有一風力機正常狀態、一葉片鬆脫、一葉片斷裂及一旋角系統失效等模型。並且該風力機故障瑕疵模
型21中所使用的故障診斷演算法的步驟:係將收集到的各項訊號先利用一經驗模態分解轉換(Empirical Mode Decomposition,EMD)和對稱點座標法(Symmetrized Dot Pattern,SDP)來萃取該各項訊號之特徵,再以一卷積神經網路(Convolutional Neural Network,CNN)來診斷故障原因。
The wind turbine
其中該第一網路51可為一工業乙太網路。其中該第二網路52可為一高速通訊網路,例如5G通訊網路。其中該第三網路53可為一無線個人區域網路,例如藍芽(Bluetooth)。
The
其中該擴增實境視覺裝置4可為光學投影系統、監視器、頭戴式顯示器、抬頭顯示器等。 The augmented reality visual device 4 may be an optical projection system, a monitor, a head-mounted display, a head-up display, or the like.
前述該風力發電機1設置有一葉片組10、一機艙20及一支撐塔30。
The aforementioned
其中該葉片組10設置在機艙20的前端,並且該葉片組10上設置有多個第一伺服馬達101,該第一伺服馬達101係用於調節該葉片組10的葉片角度,例如將葉片組的角度從30°調整為38°等。
The blade set 10 is disposed at the front end of the
其中該機艙20內設置有一第二伺服馬達201、一增速齒輪機202、一繞線式感應發電機203、一第一振動感測器204、一第二振動感測器205、一第三振動感測器206、一第四振動感測器207、一第一溫度感測器208、一第二溫度感測器209、一火焰感測器210、一氣體感測器211、一弧光感測器212、一紅外線熱影像儀213及一滅火設備214。前述該繞線式感應發電機203會透過一電機軸承203a與該增速齒輪機202連接,該增速齒輪機202透過一齒輪軸承202a與該第二伺服馬達201連接,該第二伺服馬達201透過一馬達軸承201a與該葉片組10連接。因此該繞線式感應發電機203透過該增速齒輪機202與該第二伺服馬達201連動,進而能調節該葉片組10的旋轉速度。
The
其中該支撐塔30設置在機艙20的底部,並且該支撐塔30除了設置有一第三伺服馬達303、一伺服馬達驅動器304、一編碼器305、一感測放大器306、一交流電力錶307之外,前述的該可程式邏輯控制器301與該物聯網監控系統302也是設置在支撐塔內。其中該交流電力錶307至少包括有一橋式整流器3071及一可調式電子負載3072。前述該支撐塔30與該機艙20之間設置有一支撐軸承303a相互連接,並且該第三伺服馬達303會透過該支撐軸承303a與機艙20連動,進而調整該機艙20的水平方向。
The
以上,需要特別說明的是:本新型實施例之智慧聯網風力發電機故障偵測系統會各別對電氣訊號及機械訊號進行量測。 Above, it should be noted that the intelligent networked wind turbine fault detection system of the new embodiment of the present invention will measure the electrical signal and the mechanical signal respectively.
在電氣訊號方面則為利用該交流電力錶307來量測該繞線式感應發電機203的的電壓、電流、有效功率、無效功率、視在功率、功率因數、頻率或有效電能等訊號,以隨時了解發電機組的運作狀況。在電氣訊號方面,本新型實施例也具有一功率下滑警示功能,用以評估該繞線式感應發電機203的最佳輸出功率與經過一段時間運轉後的功率相比,當該經過一段時間運轉後的功率的效率滑落到標準值以下時,即立即將資訊回報給該中央監控中心2,讓該中央監控中心2能立即通知現場維修人員進行修護。
In terms of electrical signals, the
在機械訊號方面則為利用至少四個振動感測器,首先將第一振動感測器204設置在該葉片組10與第二伺服馬達201之間,用以感測該葉片組與旋角系統故障所引起的異常振動訊號;再將該第二振動感測器205設置在該第二伺服馬達201與該增速齒輪機202之間,用以感測該各個軸承201a、202a、203a的故障所引起的異常振動訊號;然後再將該第三振動感測器206設置在該增速齒輪機202上,用以感測該增速齒輪機202故障所引起的異常振動訊號;最後將該第四
振動感測器207設置在該增速齒輪機202與該繞線式感應發電機203之間,用以感測該機艙20的故障所引起的異常振動訊號。然後前述的異常振動訊號透過該感測放大器306進行訊號放大,然後再提供給該可程式邏輯控制器301。同時,在機器訊號方面,本新型實施例又利用了至少2個溫度感測器,先將該第一溫度感測器208放置在該增速齒輪機202上,用以感測該增速齒輪機202的箱油溫度訊號,避免該增速齒輪機202出現潤滑失效;再將該第二溫度感測器209設置在繞線式感應發電機203上,用以感測該繞線式感應發電機203運轉時的溫度訊號,避免該繞線式感應發電機203產生高溫熱量與火花。同樣的,前述的溫度訊號也會透過該感測放大器306進行訊號放大,然後再提供給該可程式邏輯控制器301。
In terms of mechanical signals, at least four vibration sensors are used. First, the
前述該火焰感測器210設置在機艙20內,用於偵測該機艙20內是否產生火花或火焰,然後該偵測訊號會透過該感測放大器306進行訊號放大,再提供給該可程式邏輯控制器301。
The
前述該氣體感測器211設置在機艙20內,用於偵測該機艙20內是否產生氣體(例如煙霧等),然後該偵測訊號會透過該感測放大器306進行訊號放大,再提供給該可程式邏輯控制器301。
The
前述該弧光感測器212設置在機艙20內,用於偵測該機艙20內是否產生電弧現象,然後該偵測訊號會透過該感測放大器306進行訊號放大,再提供給該可程式邏輯控制器301。
The
因此當該機艙20內產生火花、黑煙或電弧等狀況時,該可程式邏輯控制器301即會將該異常訊號傳送給該物聯網監控系統302進行整合連結,然後再將該已整合連結後的異常訊號透過該工業乙太網路51傳輸給該中央監控中心2,然後該中央監控中心2則下達滅火指令,該滅火指令再依序透過該工業乙
太網路51、物聯網監控系統302與可程式邏輯控制器301來通知滅火設備214開啟開關進行滅火。
Therefore, when sparks, black smoke or arcs are generated in the
前述該紅外線熱影像儀213設置在機艙20內,用於偵測該機艙20內的溫度,並將該偵測到的溫度影像提供給該可程式邏輯控制器301。
The aforementioned infrared
前述該伺服馬達驅動器304用以控制該第一伺服馬達101、該第二伺服馬達201與該第三伺服馬達303。因此當該中央監控中心2認為有需要調整葉片組10的角度、葉片組10的旋轉速度或機艙20的水平方向時,即可利用該伺服馬達驅動器304來進行調整控制。
The aforementioned
前述該第二伺服馬達201與該繞線式感應發電機203會透過該編碼器305來檢測該第二伺服馬達201與繞線式感應發電機的轉速,再將該檢測訊號回傳給該可程式邏輯控制器301。
The aforementioned
雖然本新型以前述之諸項實施例揭露如上,然其並非用以限定本新型,任何熟習相像技藝者,在不脫離本新型之精神和範圍內,當可作些許之更動與潤飾,因此本新型之專利保護範圍須視本說明書所附之申請專利範圍所界定者為準。 Although the present invention is disclosed by the above-mentioned embodiments, it is not intended to limit the present invention. Anyone who is familiar with similar techniques can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, this The scope of patent protection for a new model shall be determined by the scope of the patent application attached to this specification.
1:風力發電機 1: Wind Turbine
2:中央監控中心 2: Central monitoring center
21:風力機故障瑕疵模型 21: Wind Turbine Fault Defect Model
3:行動通訊裝置 3: Mobile communication device
4:擴增實境視覺裝置 4: Augmented reality visual device
10:葉片組 10: Blade set
101:第一伺服馬達 101: The first servo motor
20:機艙 20: Cabin
30:支撐塔 30: Support tower
301:可程式邏輯控制器 301: Programmable Logic Controller
302:物聯網監控系統 302: IoT Monitoring System
51:第一網路 51: First Network
52:第二網路 52: Second Network
53:第三網路 53: Third Network
Claims (10)
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TW110214774U TWM627284U (en) | 2021-12-10 | 2021-12-10 | Fault detection system for smart networked wind turbine |
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TWM627284U true TWM627284U (en) | 2022-05-21 |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI834390B (en) * | 2022-11-21 | 2024-03-01 | 財團法人金屬工業研究發展中心 | System and method for safety management in a workspace |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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TWI834390B (en) * | 2022-11-21 | 2024-03-01 | 財團法人金屬工業研究發展中心 | System and method for safety management in a workspace |
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