TWI775285B - Maintenance system and methodof cloud-based laser processing device - Google Patents
Maintenance system and methodof cloud-based laser processing device Download PDFInfo
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本發明係有關於一種可以自動監控雷射加工機,並且及時進行故障排除的維修系統及方法。 The present invention relates to a maintenance system and method which can automatically monitor a laser processing machine and perform troubleshooting in time.
目前常見的雷射加工技術,可進行打標、雕刻、切割、除鏽及銲接等各種加工處理,其功能性多元且材質豐富,包括木頭、金屬、皮革、紙張等材質均可實施。而市面上常見的雷射加工機區分為「光纖雷射」與「CO2雷射」兩種技術為主,同樣是以高能量光束作用於物體上。其差異點主要在於光源的波長,由於不同材質可以吸收的能量波長皆不一樣,是影響可應用材質的主因。如果加上旋轉軸還可以使用於曲面的雕刻,例如玻璃杯、保溫瓶。由於雷射加工機的加工範圍廣,加工處理量大,同樣發生故障的機率也相對增大,因此單以人工為主的維修方式,已難以負荷,且耗費時間及成本。 At present, the common laser processing technology can carry out various processing such as marking, engraving, cutting, rust removal and welding. It has multiple functions and rich materials, including wood, metal, leather, paper and other materials. The common laser processing machines on the market are divided into two main technologies: "fiber laser" and "CO2 laser", which also use high-energy beams to act on objects. The main difference lies in the wavelength of the light source. Since different materials can absorb different wavelengths of energy, it is the main factor that affects the applicable materials. If you add a rotating shaft, it can also be used for carving on curved surfaces, such as glasses and thermos. Because the laser processing machine has a wide processing range and a large processing volume, the probability of failure is also relatively increased. Therefore, the maintenance method mainly based on labor is difficult to load, and it is time-consuming and cost-consuming.
因此有中華民國108年6月21日所公告之新型第M579748號「可連結與讀取工具機機台狀況之操作面板」專利案,主要係用於工具機操作與工具機機台狀況讀取。其主要部分有二。其一係改良電纜線接線方式,改用微處理器以ethernet網路通訊改變工具機控制器I/O狀態,達成省配線,維護簡易,降低成本等好處。其二係操作面板可持續讀取工具機機台狀況,如機械點位、主軸負載、告警狀態等等資訊。透過無線網路,可連結雲端資料庫或ERP資料庫,進行資料儲存、分析、即時監控等功能。 Therefore, there is a patent case of the new No. M579748 "operation panel that can connect and read the status of the machine tool" announced on June 21, 108, which is mainly used for machine tool operation and machine tool status reading. . There are two main parts. One of them is to improve the wiring method of cables and use the microprocessor to change the I/O status of the machine tool controller through ethernet network communication, so as to achieve the advantages of saving wiring, easy maintenance, and reducing costs. The second series operation panel can continuously read the machine status, such as mechanical point, spindle load, alarm status and other information. Through the wireless network, you can connect to the cloud database or ERP database for data storage, analysis, real-time monitoring and other functions.
該專利前案僅具有監測故障及發出警示的功能,並不具有排除故障原因的能力。尤其雷射加工機發生故障時,會顯示出一故障代碼,維修人員需要從大量的故障代碼資料中,仔細比對出所代表的故障原因,而且需要有豐富維修經驗的人員,或者是建檔有詳細的維修記錄表,以供維修人員搜尋參考,才能根據故障原因進行故障排除,因此相當的耗費人力及時間。 The previous case of the patent only has the functions of monitoring faults and issuing warnings, and does not have the ability to eliminate the causes of faults. In particular, when the laser processing machine fails, a fault code will be displayed. The maintenance personnel need to carefully compare the fault causes represented by a large number of fault code data, and need personnel with rich maintenance experience, or those who have documented The detailed maintenance record table is for the maintenance personnel to search for reference, so that the fault can be eliminated according to the cause of the fault, so it is quite labor-intensive and time-consuming.
又有中華民國108年6月21日所公告之新型第M579748號「可連結與讀取工具機機台狀況之操作面板」專利案,主要係包含:複數工作機台、一外部存取裝置、一感測模組、一雲端監測器、一遠端控制器以及一網路伺服器連結該複數工作機台、該感測模組、該雲端監測器與該遠端控制器,且該雲端監測器與該遠端控制器連接該外部存取裝置,藉此達成遠端控制。 There is also a patent case of the new model No. M579748 "operation panel that can connect and read the status of machine tools" announced on June 21, 108, mainly including: a plurality of working machines, an external access device, A sensing module, a cloud monitor, a remote controller and a network server are connected to the plurality of working machines, the sensing module, the cloud monitor and the remote controller, and the cloud monitor The external access device is connected with the remote controller to achieve remote control.
該專利前案同樣不具有排除故障原因的能力,因此於使用上並不盡理想。 The previous case of the patent also does not have the ability to eliminate the cause of the fault, so it is not ideal for use.
爰此,有鑑於目前的雷射加工機具有上述的缺點。故本發明提供一種雲端雷射加工裝置之維修系統,包含有:一監控單元,係訊號連接到至少一雷射加工機,並與該雷射加工機的一控制電腦建立連線,該監控單元係包含有一可程式控制器及一傳輸模組,該可程式控制器係於該雷射加工機發生故障時,以接收該控制電腦所發出的一故障訊號,並將其輸出;一伺服端,係訊號連接到該監控單元,以接收該監控單元所輸出的該故障訊號,該伺服端包含有一處理模組及一資料庫,該資料庫內儲存有對應符合該故障訊號的至少一解決方案,該處理模組解析該故障訊號,搜尋該資料庫並比對,以找出符合該故障訊號的一解決方案,並將該解決方案透過該監控單元反饋至該雷射加工機,以進行線上維修,如果未能找出符合的該解決方案時,該伺服端則會輸出一維修訊號;一故障處理端,係訊號連接到該伺服端,以供接收該維修訊號,該故障 處理端係設有複數維修模組,藉以根據所接收到的該維修訊號,分析該維修訊號,並經由其中一該維修模組發出一通知,以通知相關的故障排除人員前往檢修該雷射加工機。 Therefore, in view of the above-mentioned shortcomings of the current laser processing machine. Therefore, the present invention provides a maintenance system for a cloud-based laser processing device, comprising: a monitoring unit, which is signal-connected to at least one laser processing machine, and establishes a connection with a control computer of the laser processing machine, the monitoring unit It includes a programmable controller and a transmission module. When the laser processing machine fails, the programmable controller receives a fault signal sent by the control computer and outputs it; a server, The system signal is connected to the monitoring unit to receive the fault signal output by the monitoring unit, the server includes a processing module and a database, and the database stores at least one solution corresponding to the fault signal, The processing module analyzes the fault signal, searches the database and compares to find a solution that matches the fault signal, and feeds the solution back to the laser processing machine through the monitoring unit for online maintenance , if the corresponding solution cannot be found, the server will output a maintenance signal; a fault handling terminal, the signal is connected to the server for receiving the maintenance signal, the fault The processing end is provided with a plurality of maintenance modules, so as to analyze the maintenance signal according to the received maintenance signal, and send a notification through one of the maintenance modules to notify the relevant troubleshooting personnel to repair the laser processing machine.
上述傳輸模組係為一人機介面,以供手動控制輸出該故障訊號。 The above-mentioned transmission module is a man-machine interface for manual control to output the fault signal.
上述故障訊號係根據不同的故障原因而產生不同的故障代碼,該資料庫內儲存有對應符合該故障代碼的該解決方案,該處理模組解析該故障代碼,搜尋該資料庫並比對,以找出符合該故障代碼的該解決方案。 The above-mentioned fault signals generate different fault codes according to different fault causes. The database stores the solutions corresponding to the fault codes. The processing module parses the fault codes, searches the database and compares them to Find this solution that matches the fault code.
上述控制電腦則會自動記錄該故障原因及該解決方案,並予以儲存。 The above control computer will automatically record the cause of the failure and the solution, and store it.
本發明亦為一種雲端雷射加工裝置之維修方法,包含有:以一監控單元監控至少一雷射加工機,係將該監控單元的一可程式控制器訊號連接至該雷射加工機的一控制電腦,藉以隨時監控該雷射加工機的工作狀況;該雷射加工機於發生故障現象時,係會透過該控制電腦輸出一故障訊號至該監控單元;該監控單元接收到該控制電腦所輸出的該故障訊號後,則會將該故障訊號輸送至雲端的一伺服端;該伺服端的一處理模組接收到該故障訊號後,則會解析該故障訊號所包含的一故障代碼,再根據該故障代碼所代表的故障原因,經由一資料庫進行搜尋及比對,藉以找出符合該故障代碼的一解決方案,然後透過該監控單元將該解決方案反饋至該雷射加工機,以供該控制電腦執行該解決方案,以排除該故障原因;如果該處理模組未能經由該資料庫搜尋並比對出該故障原因,而無法找出符合的該解決方案時,該伺服端則會輸出一維修訊號至一故障處理端的複數維修模組進行分析處理;該故障處理端分析該維修訊號後,經由相對應可排除該故障原因的其中一該維修模組發出一通知,藉以通知相關的故障排除人員前往檢修該雷射加工機。 The present invention is also a maintenance method of a cloud laser processing device, comprising: monitoring at least one laser processing machine with a monitoring unit, and connecting a programmable controller signal of the monitoring unit to a signal of the laser processing machine The control computer is used to monitor the working status of the laser processing machine at any time; when the laser processing machine fails, it will output a fault signal to the monitoring unit through the control computer; the monitoring unit receives the information from the control computer. After the fault signal is output, the fault signal will be sent to a server in the cloud; after receiving the fault signal, a processing module of the server will analyze a fault code contained in the fault signal, and then according to the The fault cause represented by the fault code is searched and compared through a database, so as to find a solution that matches the fault code, and then the solution is fed back to the laser processing machine through the monitoring unit for The control computer executes the solution to eliminate the cause of the failure; if the processing module fails to search and compare the cause of the failure through the database, and fails to find the corresponding solution, the server will Output a maintenance signal to a plurality of maintenance modules of a fault processing terminal for analysis and processing; after the fault processing terminal analyzes the maintenance signal, it sends a notification through one of the maintenance modules corresponding to the cause of the fault, so as to notify the relevant Troubleshooters went to service the laser machine.
上述控制電腦未能將該故障訊號輸送至該伺服端時,係直接透過該監控單元的一傳輸模組,以手動輸入方式輸入該故障現象或該故障代碼,藉以產生該故障訊號,然後輸出該故障訊號至該伺服端。 When the above-mentioned control computer fails to transmit the fault signal to the server, it directly inputs the fault phenomenon or the fault code by manual input through a transmission module of the monitoring unit, so as to generate the fault signal, and then output the fault signal. Fault signal to the server.
上述解決方案具有二項以上時,則可經由人為方式選擇其中一項該解決方案執行。 When there are more than two solutions above, one of the solutions can be manually selected and executed.
上述解決方案具有二項以上時,則可經由該控制電腦透過機器學習後,自動判斷選擇其中一項該解決方案執行。 When there are more than two solutions above, the control computer can automatically determine and select one of the solutions for execution after machine learning.
上述於成功排除該故障原因後,該控制電腦則會自動記錄該故障原因及該解決方案,並予以儲存,藉以於再發生相同的該故障原因時,該控制電腦可自行排除故障。 After the cause of the failure is successfully eliminated, the control computer will automatically record the cause of the failure and the solution, and store them, so that when the same cause of the failure occurs again, the control computer can eliminate the failure by itself.
上述技術特徵具有下列之優點: The above technical features have the following advantages:
1.可以針對該雷射加工機進行實時監控,並且可以線上分析故障原因,並透過線上進行故障排除。 1. The laser processing machine can be monitored in real time, and the cause of the failure can be analyzed online, and troubleshooting can be done online.
2於該雷射加工機發生實體故障時,亦可針對不同的故障原因,派遺相關的故障排除人員立即前往進行檢修。 2 In the event of a physical failure of the laser processing machine, the relevant troubleshooting personnel can be dispatched to repair the machine immediately for different reasons of the failure.
3.可以同時進行大批量雷射加工機的工作狀況之自動監控,並且從不同的故障代碼中,快速找出故障原因及解決方案,以供及時的進行故障排除及維修,藉以節省人力及時間。 3. It can automatically monitor the working conditions of a large number of laser processing machines at the same time, and quickly find out the cause of the failure and the solution from different fault codes for timely troubleshooting and maintenance, thereby saving manpower and time. .
1:監控單元 1: Monitoring unit
11:可程式控制器 11: Programmable controller
12:傳輸模組 12: Transmission module
2:伺服端 2: Servo side
21:處理模組 21: Processing modules
22:資料庫 22:Database
3:故障處理端 3: Troubleshooting side
31:維修模組 31: Repair Module
A:雷射加工機 A: Laser processing machine
A1:控制電腦 A1: Control computer
[第一圖]係為本發明第一實施例維修系統之配置方塊圖。 [Figure 1] is a block diagram of the configuration of the maintenance system according to the first embodiment of the present invention.
[第二圖]係為本發明第二實施例維修方法之步驟流程圖。 [Fig. 2] is a flow chart of the steps of the maintenance method according to the second embodiment of the present invention.
[第三圖]係為本發明第二實施例故障監控之操作流程圖。 [Figure 3] is a flow chart of the operation of fault monitoring according to the second embodiment of the present invention.
請參閱第一圖所示,本發明第一實施例係為一種雲端雷射加工裝置之維修系統,包含有:監控單元1、伺服端2及故障處理端3,其中:
Please refer to the first figure, the first embodiment of the present invention is a maintenance system for a cloud laser processing device, including: a monitoring unit 1, a
監控單元1,其係訊號連接到至少一雷射加工機A,本發明係可供連接至複數的該雷射加工機A,並與該雷射加工機A的一控制電腦A1建立連線。該監控單元1係包含有一可程式控制器(PLC)11及一傳輸模組12。該可程式控制器11係隨時監控該雷射加工機A之工作狀況,並於該雷射加工機A發生故障現象時,以供接收該控制電腦A1所發出的一故障訊號,並輸出該故障訊號。該故障訊號係根據不同的故障原因而產生不同的故障代碼。該傳輸模組12係為一人機介面,以供可手動控制輸出該故障訊號。
The monitoring unit 1 is signal-connected to at least one laser processing machine A, which can be connected to a plurality of the laser processing machines A in the present invention, and establishes a connection with a control computer A1 of the laser processing machine A. The monitoring unit 1 includes a programmable controller (PLC) 11 and a
伺服端2,其係訊號連接到該監控單元1,以接收其所輸出的該故障訊號。該伺服端2係包含有一處理模組21及一資料庫22。該資料庫22內儲存有對應符合該故障代碼的至少一解決方案,該處理模組21於接收到該故障訊號後,係解析出該故障代碼,並根據該故障代碼所代表的故障原因,經由該資料庫22搜尋及比對,以找出符合該故障代碼的解決方案,並將該解決方案透過該監控單元1反饋至該雷射加工機A,以供進行線上維修,解決該故障原因。如果未能找出符合的該解決方案時,該伺服端2則會輸出一維修訊號。
The
故障處理端3,其係訊號連接到該伺服端2,以供接收該伺服端2所輸出的該維修訊號。該故障處理端3係設有複數維修模組31,藉以根據所接收到的該維修訊號,以分析該維修訊號所代表的故障原因,再經由相對應可排除該故障原因的其中一該維修模組31發出一通知,藉以通知相關的故障排除人員B前往檢修該雷射加工機A。
The
本發明第二實施例係為一種雲端雷射加工裝置之維修方法,如第二圖及第三圖所示,係配合上述雲端雷射加工裝置之維修系統〔如第一圖所示〕共同實施,包含有下列步驟: The second embodiment of the present invention is a maintenance method for a cloud-based laser processing device. As shown in the second and third figures, it is jointly implemented with the above-mentioned maintenance system for the cloud-based laser processing device (as shown in the first figure). , which includes the following steps:
A.以一監控單元監控至少一雷射加工機。係將該監控單元1的該可程式控制器11訊號連接至該雷射加工機A的該控制電腦A1,藉以隨時監控該雷射加工機A的工作狀況。
A. Monitor at least one laser processing machine with a monitoring unit. The signal of the
B.該雷射加工機於發生故障時,發出一故障訊號至該監控制單元。當該雷射加工機A發生故障現象時,係會透過該控制電腦A1輸出一故障訊號至該監控單元1。 B. When the laser processing machine fails, a fault signal is sent to the monitoring and control unit. When the laser processing machine A fails, it will output a failure signal to the monitoring unit 1 through the control computer A1.
C.該監控單元將該故障訊號輸送至雲端的一伺服端。該監控單元1接收到該控制電腦A1所輸出的該故障訊號後,則會將該故障訊號輸送至雲端的該伺服端2。又該雷射加工機A的操作者,如果發現該雷射加工機1發生故障現象時,而該監控單元1並未將該故障訊號輸送至該伺服端2時,亦可直接透過人機介面的該傳輸模組12,以手動輸入方式輸入故障現象或故障代碼,藉以產生該故障訊號,然後輸出該故障訊號至該伺服端2。
C. The monitoring unit sends the fault signal to a server in the cloud. After the monitoring unit 1 receives the fault signal output by the control computer A1, it will send the fault signal to the
D.該伺服端根據該故障訊號,搜尋一資料庫找出一解決方案,並將該解決方案反饋回到該雷射加工機,以解決故障。該伺服端2的該處理模組21接收到該故障訊號後,則會解析該故障訊號所包含的該故障代碼,再根據該故障代碼所代表的故障原因,經由該資料庫22進行搜尋及比對,藉以找出符合該故障代碼的解決方案,然後透過該監控單元1將該解決方案反饋至該雷射加工機A,以供該雷射加工機A的該控制電腦A1執行該解決方案,藉以於線上排除故障。又如果該解決方案具有二項以上時,則可經由操作者以人為方式選擇其中一項解決方案執行,同樣可以於線上排除故障,或者經由該控制電腦A1透過機器學習後,自動判斷選擇其中一項解決方案執行,藉以於線上排除故障。上述故障原因通常來自於控制軟體、參數設定或控制電腦A1當機所造成,因此可以經由雲端進行線上維修,以排除該故障原因。又於成功排除該故障原因後,該控制電腦A1則
會自動記錄該故障原因及該解決方案,並予以儲存,藉以於日後如果再發生相同故障原因時,該控制電腦A1則可自行排除故障。
D. According to the fault signal, the server searches a database to find a solution, and feeds the solution back to the laser processing machine to solve the fault. After receiving the fault signal, the
E.該伺服端未能排除故障時,則會發出一維修訊號至一故障處理端。如果該處理模組21未能經由該資料庫22搜尋及比對出故障原因時,而無法找出符合的解決方案時,該伺服端2則會輸出一維修訊號至該故障處理端3,經由相對應可排除該故障原因的該等維修模組31進行分析處理,藉以找出真正的故障原因。上述故障原因通常來自於該雷射加工機A實體的操作機構、電氣元件或控制硬體故障,因此無法透過雲端進行線上排除。
E. When the fault cannot be eliminated from the server, it will send a maintenance signal to a fault handling terminal. If the
F.該故障處理端分析該維修訊號後,則會發出通知,以派遺故障排除人員前往檢修該雷射加工機。經由相對應可排除該故障原因的其中一該維修模組31發出一通知,藉以通知相關的該故障排除人員B前往檢修該雷射加工機A。上述不同的該維修模組31對於故障原因之分析範圍,可分別定義為操作機構、電氣元件或控制硬體等不同故障原因所造成的故障現象。又於成功排除該故障原因後,該控制電腦A1則會自動記錄該故障原因及解決方案,並予以儲存,藉以於日後如果再發生相同故障時,該控制電腦A1則可自行排除故障。
F. After analyzing the maintenance signal, the troubleshooting terminal will issue a notification to dispatch troubleshooting personnel to repair the laser processing machine. A notification is sent through one of the
如此,藉由本發明上述的維修系統及維修方法,可以針對該雷射加工機A進行實時監控,並且線上分析故障原因,以及透過線上進行故障排除。或者於該雷射加工機A發生實體故障時,亦可針對不同的故障原因,派遺相關的故障人員立即前往進行檢修。因此本發明特別適用於同時進行大量的雷射加工機A進行工作狀況之監控,並且及時的進行故障排除及維修,藉以節省人力及時間。 In this way, with the above-mentioned maintenance system and maintenance method of the present invention, the laser processing machine A can be monitored in real time, the cause of the failure can be analyzed online, and the failure can be eliminated online. Or when a physical failure occurs in the laser processing machine A, according to different reasons for the failure, the relevant failure personnel can be dispatched to repair it immediately. Therefore, the present invention is particularly suitable for monitoring the working conditions of a large number of laser processing machines A at the same time, and for timely troubleshooting and maintenance, thereby saving manpower and time.
綜合上述實施例之說明,當可充分瞭解本發明之操作、使用及本發明產生之功效,惟以上所述實施例僅係為本發明之較佳實施例,當不能以此限定本發明實施之範圍,即依本發明申請專利範圍及發明說明內容所作簡單的等效變化與修飾,皆屬本發明涵蓋之範圍內。 Based on the descriptions of the above embodiments, one can fully understand the operation, use and effects of the present invention, but the above-mentioned embodiments are only preferred embodiments of the present invention, which should not limit the implementation of the present invention. Scope, that is, simple equivalent changes and modifications made according to the scope of the patent application of the present invention and the contents of the description of the invention, all fall within the scope of the present invention.
1:監控單元 1: Monitoring unit
11:可程式控制器 11: Programmable controller
12:傳輸模組 12: Transmission module
2:伺服端 2: Servo side
21:處理模組 21: Processing modules
22:資料庫 22:Database
3:故障處理端 3: Troubleshooting side
31:維修模組 31: Repair Module
A:雷射加工機 A: Laser processing machine
A1:控制電腦 A1: Control computer
B:故障排除人員 B: Troubleshooter
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Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101120373A (en) * | 2005-02-14 | 2008-02-06 | 株式会社小松制作所 | Working machine failure information centralized managing system |
TW201202876A (en) * | 2010-01-29 | 2012-01-16 | Tokyo Electron Ltd | Method and system for self-learning and self-improving a semiconductor manufacturing tool |
CN103645697A (en) * | 2013-11-27 | 2014-03-19 | 张传伟 | A coal preparation plant host control system based on a MCGS |
CN105302120A (en) * | 2015-11-19 | 2016-02-03 | 广州云湾信息技术有限公司 | Remote service device, system and method of intelligent equipment |
CN206331274U (en) * | 2016-12-01 | 2017-07-14 | 桥弘软件开发(上海)有限公司 | A kind of equipment long-distance service system |
CN107222569A (en) * | 2017-07-07 | 2017-09-29 | 北京驰马特图像技术有限公司 | X-ray machine breakdown maintenance methods, devices and systems |
TW201835722A (en) * | 2017-03-24 | 2018-10-01 | 國立成功大學 | System and method for machine tool maintenance and repair |
TWM577960U (en) * | 2018-11-30 | 2019-05-11 | 蘇昆達 | Equipment information management system |
TWM579748U (en) * | 2018-11-27 | 2019-06-21 | 詹壬震 | The panel with machine status reading and I/O control of CNC |
CN110569993A (en) * | 2019-08-21 | 2019-12-13 | 广东技术师范大学天河学院 | Intelligent maintenance and maintenance system based on big data |
CN111098463A (en) * | 2018-10-27 | 2020-05-05 | 泰瑞机器股份有限公司 | Injection molding machine fault diagnosis system and diagnosis method |
CN111444169A (en) * | 2020-03-30 | 2020-07-24 | 国网江苏省电力有限公司连云港市赣榆区供电分公司 | Transformer substation electrical equipment state monitoring and diagnosis system and method |
CN111525684A (en) * | 2019-02-01 | 2020-08-11 | 上海电气风电集团有限公司 | Operation and maintenance system for wind power plant clustering monitoring based on cloud platform |
TW202038030A (en) * | 2018-10-09 | 2020-10-16 | 美商應用材料股份有限公司 | Advanced semiconductor process optimization and adaptive control during manufacturing |
CN111861221A (en) * | 2020-07-22 | 2020-10-30 | 海尔优家智能科技(北京)有限公司 | Equipment fault information pushing method and device, storage medium and electronic device |
-
2021
- 2021-01-21 TW TW110102324A patent/TWI775285B/en active
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101120373A (en) * | 2005-02-14 | 2008-02-06 | 株式会社小松制作所 | Working machine failure information centralized managing system |
TW201202876A (en) * | 2010-01-29 | 2012-01-16 | Tokyo Electron Ltd | Method and system for self-learning and self-improving a semiconductor manufacturing tool |
CN103645697A (en) * | 2013-11-27 | 2014-03-19 | 张传伟 | A coal preparation plant host control system based on a MCGS |
CN105302120A (en) * | 2015-11-19 | 2016-02-03 | 广州云湾信息技术有限公司 | Remote service device, system and method of intelligent equipment |
CN206331274U (en) * | 2016-12-01 | 2017-07-14 | 桥弘软件开发(上海)有限公司 | A kind of equipment long-distance service system |
TW201835722A (en) * | 2017-03-24 | 2018-10-01 | 國立成功大學 | System and method for machine tool maintenance and repair |
CN107222569A (en) * | 2017-07-07 | 2017-09-29 | 北京驰马特图像技术有限公司 | X-ray machine breakdown maintenance methods, devices and systems |
TW202038030A (en) * | 2018-10-09 | 2020-10-16 | 美商應用材料股份有限公司 | Advanced semiconductor process optimization and adaptive control during manufacturing |
CN111098463A (en) * | 2018-10-27 | 2020-05-05 | 泰瑞机器股份有限公司 | Injection molding machine fault diagnosis system and diagnosis method |
TWM579748U (en) * | 2018-11-27 | 2019-06-21 | 詹壬震 | The panel with machine status reading and I/O control of CNC |
TWM577960U (en) * | 2018-11-30 | 2019-05-11 | 蘇昆達 | Equipment information management system |
CN111525684A (en) * | 2019-02-01 | 2020-08-11 | 上海电气风电集团有限公司 | Operation and maintenance system for wind power plant clustering monitoring based on cloud platform |
CN110569993A (en) * | 2019-08-21 | 2019-12-13 | 广东技术师范大学天河学院 | Intelligent maintenance and maintenance system based on big data |
CN111444169A (en) * | 2020-03-30 | 2020-07-24 | 国网江苏省电力有限公司连云港市赣榆区供电分公司 | Transformer substation electrical equipment state monitoring and diagnosis system and method |
CN111861221A (en) * | 2020-07-22 | 2020-10-30 | 海尔优家智能科技(北京)有限公司 | Equipment fault information pushing method and device, storage medium and electronic device |
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Publication number | Publication date |
---|---|
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