TWI475878B - Dynamic Quality Analysis Method and System of Multimedia Signal in Heterogeneous High - speed Network Transmission - Google Patents

Dynamic Quality Analysis Method and System of Multimedia Signal in Heterogeneous High - speed Network Transmission Download PDF

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TWI475878B
TWI475878B TW100119918A TW100119918A TWI475878B TW I475878 B TWI475878 B TW I475878B TW 100119918 A TW100119918 A TW 100119918A TW 100119918 A TW100119918 A TW 100119918A TW I475878 B TWI475878 B TW I475878B
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Description

多媒體訊號於異質性高速網路傳輸之動態品質解析方法與系統Dynamic quality analysis method and system for multimedia signal transmission in heterogeneous high-speed network

本發明係針對多媒體訊號於異質性高速網路之傳輸,提供一有效的動態解析與診斷多媒體視訊服務品質之方法與系統。The present invention provides an effective method and system for dynamically analyzing and diagnosing the quality of multimedia video services for the transmission of multimedia signals over heterogeneous high speed networks.

多媒體視訊服務,例如Internet Protocol Television(IPTV),主要係利用寬頻網路來傳遞多媒體訊號。目前所熟知的多媒體訊號品質監測技術至少包含以下方法:Multimedia video services, such as Internet Protocol Television (IPTV), mainly use broadband networks to deliver multimedia signals. At present, the well-known multimedia signal quality monitoring technology includes at least the following methods:

(1)於視訊頭端持續監控視訊廣播服務(video broadcast service)與隨選視訊服務(video on demand)等節目源的品質,在上述節目源從視訊頭端傳遞至用戶端前即已被嚴密的監控。然而,此法並不能確保因寬頻網路(例如骨幹網路、接取網路)之傳輸效能不佳,導致多媒體訊號在網路傳輸的過程中被丟棄,造成用戶觀賞多媒體視訊時,發現畫面內容有不連續之現象。(1) continuously monitor the quality of video source services such as video broadcast service and video on demand at the head end of the video, and the source of the program is strictly before being transmitted from the video head to the user. Monitoring. However, this method does not ensure that the transmission performance of the broadband network (such as the backbone network and the access network) is poor, and the multimedia signal is discarded during the transmission of the network, causing the user to view the multimedia video. There is a discontinuity in the content.

(2)於用戶端佈建多媒體訊號探測器(probe),並以模擬用戶端使用多媒體視訊服務之行為來實際監控並分析所收到的多媒體訊號品質。雖然此法可反應出用戶實際使用服務之品質與感受(即Quality of Experience),但仍無法因此而研判出多媒體視訊服務品質不佳的真正原因是肇因於節目源、傳輸網路還是用戶端的設備不良。此外,使用多媒體訊號探測器來模擬並分析用戶使用多媒體視訊服務品質實屬抽樣測試(sampling)性質,實際上此法並無法完整涵蓋到所有用戶。利用網路管理系統來統籌管理所有用戶的多媒體視訊解碼器可視為是另一種以用戶角度來審視服務品質的方法,但傳統的網路管理系統所提供的集中式管理架構(centralized management architecture)並無法支援管理極大量的網路設備但又要持續密集監控上述網路設備之運作效能狀態。(2) Deploying a multimedia signal probe on the user side, and actually monitoring and analyzing the received multimedia signal quality by simulating the behavior of the user terminal using the multimedia video service. Although this method can reflect the quality and experience of the user's actual use of services, it is still impossible to judge the real reason for the poor quality of multimedia video services because of the source of the program, the transmission network or the user. Poor equipment. In addition, the use of multimedia signal detectors to simulate and analyze the quality of the user's use of multimedia video services is a sampling test. In fact, this method does not cover all users. The use of a network management system to manage all users' multimedia video decoders can be seen as another way to view the quality of service from a user perspective, but the traditional network management system provides a centralized management architecture. It is unable to support the management of a very large number of network devices, but it is also necessary to continuously monitor the operational performance status of the above network devices.

在利用網路管理系統以自動分析與診斷多媒體視訊服務品質不佳的原因時,系統通常須一併結合網路組構(例網路拓樸)及用戶服務組構(例用戶所承租之服務電路與參數)等資訊,才可能從監測到網路設備產生障礙或效能衰退等告警的當下,迅速分析出上述網路產生告警的真正主因,以及這些告警會造成用戶在使用多媒體視訊服務時會產生哪些類型的品質不佳問題,以便於資訊系統可在用戶察覺並申告障礙前即已主動排除相關障礙。然而,既有商用網路管理系統通常只提供網路設備之監控功能而並未連結用戶服務組構資訊,以致於無法精準提供用戶服務影響分析(service impact analysis)功能。When using the network management system to automatically analyze and diagnose the causes of poor quality of multimedia video services, the system usually has to combine the network organization (such as network topology) and the user service organization (such as the services rented by users). Information such as circuits and parameters can quickly analyze the real cause of alarms generated by the above-mentioned network from the alarms such as obstacles or performance degradation of network devices, and these alarms will cause users to use multimedia video services. What types of quality problems are generated so that the information system can actively remove the barriers before the user perceives and reports the obstacles. However, existing commercial network management systems usually only provide monitoring functions of network devices without linking user service fabric information, so that the user service impact analysis function cannot be accurately provided.

由此可見,上述習用方式仍有諸多缺失,實非一良善之設計,而亟待加以改良。It can be seen that there are still many shortcomings in the above-mentioned methods of use, which is not a good design, but needs to be improved.

本案發明人鑑於上述習用方式所衍生的各項缺點,乃亟思加以改良創新,並經多年苦心孤詣潛心研究後,終於成功研發完成本件一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法與系統。In view of the shortcomings derived from the above-mentioned conventional methods, the inventor of the present invention has improved and innovated, and after years of painstaking research, he finally successfully developed a dynamic quality analysis method for the transmission of a multimedia signal in heterogeneous high-speed network. system.

達成上述發明目的之多媒體訊號於異質性高速網路傳輸之動態品質解析方法與系統,其包含一至多個多媒體視訊解碼器效能資訊監控裝置,一整合網路資源效能異常預警收集器,一前攝式服務品質與障礙問題剖析器,一服務障礙推論規則知識庫,一異質性網路組構與拓樸資訊模組,一多媒體視訊服務組構資訊模組,一網路監測動態調變模組,一至多個多媒體視訊效能資訊監控裝置,一異質性網路設備效能資訊監控裝置,一視訊頭端效能資訊監控裝置。依據所收集的多媒體視訊解碼器品質資訊,解析實際提供服務電路之問題關鍵點當服務品質與障礙問題剖析器定期分析,(A)發現多媒體訊號解碼器的品質歷史資料呈現品質持續不良時,會自動參考異質性網路組構拓樸資訊,查詢所對應接取端設備所有相關的解碼器群組的品質參數,當多媒體訊號解碼器持續不良數目超過臨界值2時,則依據規則判斷接取端設備異常;(B)否則將繼續查詢對應之骨幹設備所有相關的解碼器群組之品質參數是否有不良,當品質不良數目超出臨界值3時,則依既有知識庫規則研判骨幹設備異常;(C)若不然則繼續查詢對應之視訊頭端之相關解碼器群組,當品質不良數超出臨界值4時,則依既有知識庫規則研判為視訊頭端設備異常,否則將視為單一解碼器品質不良。(D)另外針對對應相關節目源下所有解碼器之品質參數,若不良數超出臨界值5時,則依既有知識庫規則研判為節目源異常。此研判結果將作為品質異常時維護的重要依據。A dynamic quality analysis method and system for achieving heterogeneous high-speed network transmission of multimedia signals of the above invention, comprising one or more multimedia video decoder performance information monitoring devices, an integrated network resource performance abnormality warning collector, a proactive Service quality and obstacle problem parser, a service barrier inference rule knowledge base, a heterogeneous network fabric and topology information module, a multimedia video service fabric information module, a network monitoring dynamic modulation module One to more multimedia video performance information monitoring devices, a heterogeneous network device performance information monitoring device, and a video head end performance information monitoring device. According to the quality information of the collected multimedia video decoders, the key points of the problem of actually providing the service circuit are analyzed. When the service quality and obstacle problem analyzers are regularly analyzed, (A) when the quality history data of the multimedia signal decoder is found to be poor in quality, Automatically refer to the heterogeneous network fabric topology information, and query the quality parameters of all relevant decoder groups of the corresponding access device. When the number of persistent bad signals of the multimedia signal decoder exceeds the critical value 2, the access is determined according to the rules. The end device is abnormal; (B) Otherwise, it will continue to query whether the quality parameters of all relevant decoder groups of the corresponding backbone device are bad. When the number of bad quality exceeds the critical value of 3, the backbone device is abnormal according to the existing knowledge base rules. (C) If not, continue to query the relevant decoder group of the corresponding video head end. When the quality defect number exceeds the critical value of 4, it is judged as the video head end device abnormal according to the existing knowledge base rules, otherwise it will be regarded as A single decoder is of poor quality. (D) In addition, for the quality parameters of all decoders corresponding to the relevant program source, if the number of defects exceeds the critical value of 5, the program source is abnormal according to the existing knowledge base rules. The results of this study will serve as an important basis for maintenance during quality anomalies.

依據本發明之另一特色,本發明提出一種網路監測動態調變模組,針對部份監測資料因為有瞬間異動的特性,在較大的監測週期中不易查覺,因此在特殊查測狀況下可彈性調整其監測週期,針對特定設備啟動細部監測,以查明在該時段中的監測值是否有超出臨界值或其他異常現象,來確認可能之品質異常問題根源。另在前攝式服務品質與障礙問題剖析器已診斷出某設備有特定問題時,也可傳達行動指令給各個設備效能資訊監控裝置,針對設備即時執行維護指令,以確保多媒體視訊服務的品質。According to another feature of the present invention, the present invention provides a network monitoring dynamic modulation module, which is not easy to detect in a large monitoring period for some monitoring data because of the characteristics of instantaneous movement, so in a special inspection situation The monitoring period can be flexibly adjusted, and detailed monitoring is started for a specific device to find out whether the monitored value in the period exceeds a critical value or other anomalies to confirm the root cause of the possible quality abnormality. In addition, when the proactive service quality and obstacle problem analyzer has diagnosed a certain problem of a certain device, it can also transmit action instructions to each device performance information monitoring device, and execute maintenance instructions for the device in time to ensure the quality of the multimedia video service.

依據本發明之另一特色,為解決習知系統在大量納管設備時之效能不佳及大量監測造成之系統不均衡負載問題,除了依分散式網管架構,針對納管數量作有效管控之外,本發明也使用一智慧型作業分配器,可以在定期監控程序中,有效分配作業時程,解決系統同時啟動監控作業之資源負載不均衡問題,提升系統運作穩定度。According to another feature of the present invention, in order to solve the problem that the conventional system is inefficient in a large number of nanotube devices and the system is unbalanced load caused by a large number of monitoring, in addition to the distributed network management structure, the number of management tubes is effectively controlled. The invention also uses a smart job distributor, which can effectively allocate the working time schedule in the regular monitoring program, solve the problem of unbalanced resource load of the system simultaneously starting the monitoring operation, and improve the system operation stability.

在提供多媒體視訊服務時,影音的服務品質扮演著很重要的角色,圖一係本發明之一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法與系統之模組示意圖,其包括一至多個多媒體視訊解碼器效能資訊監控裝置112,一整合網路資源效能異常預警收集器108,一前攝式服務品質與障礙問題剖析器110,一服務障礙推論規則知識庫106,一異質性網路組構與拓樸資訊模組102,一多媒體視訊服務組構資訊模組104,一網路監測動態調變模組118,一至多個異質性網路效能資訊監控裝置114,一視訊頭端效能資訊監控裝置116。The service quality of video and audio plays an important role in providing multimedia video services. FIG. 1 is a schematic diagram of a dynamic quality analysis method and system for transmitting a multimedia signal in a heterogeneous high-speed network, including one or more a multimedia video decoder performance information monitoring device 112, an integrated network resource performance abnormality warning collector 108, a proactive service quality and obstacle problem parser 110, a service barrier inference rule knowledge base 106, a heterogeneous network The configuration and topology information module 102, a multimedia video service fabric information module 104, a network monitoring dynamic modulation module 118, one or more heterogeneous network performance information monitoring devices 114, and a video head end performance Information monitoring device 116.

提供多媒體服務網路所需的設備種類眾多,配合在現有的管理網路所需的效能資訊監控,考量主機納管數量限制,採用分散式架構並區分為一至多個多媒體視訊解碼器效能資訊監控裝置112,一至多個異質性網路效能資訊監控裝置114,以及一視訊頭端效能資訊監控裝置116,此分散式架構除了可有效涵蓋所有多媒體服務網路的設備之外,也能配合現有的管理分工,系統再將分佈在各處的監控裝置所監控的資訊,透過整合網路資源效能異常預警收集器108,整合作為判斷多媒體服務品質的依據。A wide variety of devices are required to provide a multimedia service network. The performance information monitoring required in the existing management network is considered, and the number of host controllers is limited. The distributed architecture is divided into one or more multimedia video decoder performance information monitoring. The device 112, one or more heterogeneous network performance information monitoring devices 114, and a video head end performance information monitoring device 116. The distributed architecture can cooperate with existing devices in addition to devices that can effectively cover all multimedia service networks. The division of labor is managed, and the system monitors the information monitored by the monitoring devices distributed throughout the network through the integrated network resource performance abnormality warning collector 108, which is used as a basis for judging the quality of the multimedia service.

該整合網路資源效能異常預警收集器108,連接至一至多個多媒體視訊解碼器效能資訊監控裝置112,效能資訊監控裝置112透過網路定期收集客戶端多媒體訊號解碼器的品質效能資訊(如:PacketLoss/Jitter/Delay..),並可依其中任一數值來判斷網路狀況,來作為該服務品質資訊之參考;整合網路資源效能異常預警收集器108收集所有異常資訊,交由前攝式服務品質與障礙問題剖析器110研判,圖四係服務品質障礙研判的流程圖,當發現多媒體訊號解碼器呈現品質持續不良時302(例如:PacketLoss大於解碼器訊號品質不良判定臨界值),再透過異質性網路組構與拓樸資訊模組102查詢所對應接取端設備,同時計算該設備以下所有相關的解碼器群組的品質參數,當多媒體訊號解碼器持續不良數目之比率超過接取端設備服務異常判定臨界值時304,則依據規則判斷接取端設備異常314。The integrated network resource performance abnormality warning collector 108 is connected to one or more multimedia video decoder performance information monitoring devices 112. The performance information monitoring device 112 periodically collects quality performance information of the client multimedia signal decoder through the network (eg: PacketLoss/Jitter/Delay..), and can judge the network status according to any value as a reference for the service quality information; the integrated network resource performance abnormality warning collector 108 collects all abnormal information and submits it to the proactive The service quality and obstacle problem analyzer 110 judges that Figure 4 is a flow chart of the service quality obstacles. When the multimedia signal decoder is found to have poor quality, 302 (for example, PacketLoss is greater than the decoder signal quality judgment threshold), Querying the corresponding access device through the heterogeneous network fabric and the topology information module 102, and calculating the quality parameters of all related decoder groups below the device, when the ratio of the number of persistent bad signals of the multimedia signal decoder exceeds When the terminal device service abnormality determination critical value is 304, the access terminal device abnormality is determined according to the rule. 14.

若不良數目比率未超過接取端設備服務異常判定臨界值,則繼續查詢對應之骨幹設備所有相關的解碼器群組之品質參數是否有不良,當品質不良數目之比率超出骨幹設備服務異常判定臨界值時306,則依既有知識庫規則研判骨幹設備異常316。If the ratio of the number of bad devices does not exceed the critical value of the service device abnormality determination, continue to query whether the quality parameters of all relevant decoder groups of the corresponding backbone device are bad, and the ratio of the number of bad quality exceeds the threshold of abnormal service of the backbone device service. When the value is 306, the backbone device exception 316 is determined according to the existing knowledge base rules.

若不良數數未超過骨幹設備服務異常判定臨界值,則繼續查詢對應之視訊頭端之相關解碼器群組,當品質不良數之比率超出頭端設備服務異常判定臨界值時308,則依既有知識庫規則研判為視訊頭端設備異常318,否則將視為單一解碼器品質不良310。If the number of bad devices does not exceed the threshold value of the service abnormality determination of the backbone device, continue to query the relevant decoder group of the corresponding video head end, and when the ratio of the quality defect number exceeds the critical value of the head end device service abnormality determination threshold 308, then The knowledge base rule is judged as the video headend device exception 318, otherwise it will be regarded as a single decoder quality defect 310.

針對相關品質不良之解碼器,查詢對應節目源下所有解碼器之品質參數,若不良數之比率超出節目源服務異常判定臨界值時,則依既有知識庫規則研判為節目源異常320。此研判結果將作為品質異常時維護的重要依據。For the decoder with poor quality, the quality parameters of all decoders corresponding to the program source are queried. If the ratio of the bad number exceeds the threshold value of the program source service abnormality determination, the program source exception 320 is determined according to the existing knowledge base rules. The results of this study will serve as an important basis for maintenance during quality anomalies.

若在上述解析過程中,客戶端的品質障礙經由判斷是接取端設備服務異常314,且主要歸因於某個接取設備的介面埠障礙,透過服務障礙推論規則知識庫得知,可以針對該介面埠作重置指令以恢復正常服務,因此可即時透過網路監測動態調變模組,對該接取設備效能資訊監控裝置下達介面埠重置指令,即可自動排除客戶品質障礙。If, in the foregoing parsing process, the quality fault of the client is determined to be the access device service exception 314, and the interface is mainly attributed to the access barrier of the access device, the service barrier inference rule knowledge base is known to The interface is used as a reset command to restore normal service. Therefore, the dynamic modulation module can be monitored immediately through the network, and the device performance information monitoring device can be automatically updated to eliminate the customer quality barrier.

圖二為新增作業的運作架構200,其包含一智慧型作業分配調節器202,一作業排程器204,一資料搜集模組206;在實際多媒體視訊監控作業流程中,當新增作業時,透過智慧型作業分配調節器202,加入監測作業至作業排程器204,再根據排程時間執行正常的品質監測資料搜集模組。FIG. 2 is an operation framework 200 of a new operation, which includes a smart job distribution adjuster 202, a job scheduler 204, and a data collection module 206. In the actual multimedia video monitoring operation process, when a new job is added Through the intelligent job distribution adjuster 202, the monitoring operation is added to the job scheduler 204, and the normal quality monitoring data collection module is executed according to the scheduling time.

圖三係智慧型作業分配調節器的運作圖解,為了避免作業過度登錄造成系統瞬間負荷過大,系統會自動分配作業在監測週期內之啟始時間,以期在定期監測週期的有效期間,使每一作業的起始時間能平均分散在整體監測作業時程內210,每一作業起始時間之間隔T=Maximum(監測週期/總作業數,千分之一秒),當監測週期/總作業數<千分之一秒時,時間間隔為千分之一秒,在此一情況每千分之一秒的時間間隔裡,可能會有一個以上的作業同時執行,也就是說,作業將依序排列於每一時間間隔執行,而作業間之時間間隔T以千分之一秒為下限,如此則可以有效解決系統資源負載不均衡現象,進而提升系統運作穩定度。Figure 3 is a diagram of the operation of the intelligent job distribution regulator. In order to avoid excessive transient load on the system caused by excessive registration, the system automatically assigns the start time of the operation within the monitoring period, so that each period of the regular monitoring period is valid. The start time of the job can be evenly distributed in the overall monitoring operation time interval 210, the interval between the start time of each job T=Maximum (monitoring period/total number of jobs, one thousandth of a second), when the monitoring period/total number of jobs <One thousandth of a second, the time interval is one thousandth of a second. In this case, every one thousandth of a second interval, more than one job may be executed at the same time, that is, the job will be sequentially Arranged at each time interval, and the time interval T between jobs is the lower limit of one thousandth of a second. This can effectively solve the imbalance of system resource load and improve the system operation stability.

若實際監測多媒體訊號解碼器呈現品質持續不良,同時也監測出服務電器有異常的狀態(監測值大於某臨界值),但週期性監測可能因其監測週期較大,並不易察覺電路有異常的現象,圖五即為此現象的示意圖,如圖五的虛線之異常狀態點發生於監測點之間,但在正常監測週期的時間點所得之監測值仍小於臨界值,無法偵測出可能的異常現象;因此在此查測狀況下系統可透過網路監測動態調變模組118,在特定時段內彈性調整其監測週期,針對特定設備啟動細部監測,如圖五虛線點的監測值,可以在細部監測時偵測出大於臨界值之現象,提高異常狀態的偵測率,以查明在該時段中的確有監測值超出臨界值的異常現象400,可提供確認可能之品質異常問題根源的依據。If the quality of the multimedia signal decoder is actually poor, and the service appliance has an abnormal state (the monitoring value is greater than a certain threshold), the periodic monitoring may be difficult to detect that the circuit is abnormal due to its large monitoring period. Phenomenon, Figure 5 is a schematic diagram of this phenomenon. The abnormal state point of the dotted line in Figure 5 occurs between the monitoring points, but the monitoring value obtained at the time of the normal monitoring cycle is still less than the critical value, and the possible detection cannot be detected. Abnormal phenomenon; therefore, under this condition, the system can monitor the dynamic modulation module 118 through the network, adjust its monitoring period flexibly within a certain period of time, and start detailed monitoring for specific equipment, as shown in the monitoring value of the dotted line in Figure 5, In the case of detailed monitoring, a phenomenon greater than the critical value is detected, and the detection rate of the abnormal state is increased to find an abnormal phenomenon 400 in which the monitoring value exceeds the critical value during the period, which can provide a source of confirmation of possible quality abnormality. in accordance with.

先前技術主要著眼在監測多媒體服務網路廣播之節目源品質,以確保上線提供的節目源品質正常,而其監測位置主要針對頭端伺服器及局端接取設備所在位置,並未能真實反應客戶端的品質狀況,但在實際傳輸提供服務的過程中,客戶端對服務的感受及可能發生的各種品質問題(如:解碼器效能異常,或客戶端設備障礙等),較不容易掌握,因此仍有不足之處。另以模擬用戶端使用多媒體視訊服務之行為來實際監控並分析所收到的多媒體訊號品質。雖然此法可反應出用戶實際使用服務之品質與感受(即Quality of Experience),但仍無法研判出多媒體視訊服務品質不佳的真正原因,且屬抽樣測試(sampling)性質,實際上無法完整涵蓋到所有用戶。本發明所提供之多媒體訊號於異質性高速網路傳輸之動態品質解析方法與系統,與其他習用技術相互比較時,更具備下列優點:The prior art mainly focuses on monitoring the quality of the program source of the multimedia service network broadcast to ensure that the quality of the program source provided by the online line is normal, and the monitoring position is mainly for the location of the head end server and the central office access device, and the actual response is not true. The quality status of the client, but in the process of actually transmitting the service, the client's perception of the service and various quality problems that may occur (such as abnormal decoder performance or client device obstacles) are less easy to grasp, so There are still deficiencies. In addition, the behavior of the multimedia video service is simulated and analyzed by the client to actually monitor and analyze the received multimedia signal quality. Although this method can reflect the quality and experience of the user's actual use of the service (ie, Quality of Experience), it is still unable to determine the true cause of the poor quality of the multimedia video service, and it is a sampling test, which cannot be completely covered. To all users. The dynamic quality analysis method and system for transmitting the multimedia signal in the heterogeneous high-speed network by the present invention have the following advantages when compared with other conventional technologies:

1. 本發明利用有效地監控客戶端的多媒體視訊解碼器,可全面掌握客戶端設備品質狀況,且在納管大量客戶端設備時,可透過智慧型作業分配器,有效解決系統資源負載不均衡問題,提升系統運作穩定度。1. The invention utilizes the multimedia video decoder to effectively monitor the client, can fully grasp the quality condition of the client device, and can effectively solve the problem of imbalance of system resource load through the smart job distributor when managing a large number of client devices. Improve system operation stability.

2. 本發明利用分散式架構針對多媒體服務網路設備的效能監控,可分別對客戶端、接取端、骨幹設備及頭端視訊伺服器作效能監控,涵蓋全面,可完全掌握多媒體視訊服務電路品質狀況。2. The invention utilizes the distributed architecture to monitor the performance of the multimedia service network device, and can perform performance monitoring on the client, the access terminal, the backbone device and the headend video server respectively, covering comprehensive, and fully grasping the multimedia video service circuit. Quality status.

3. 本發明可透過收集之效能資訊,透過一動態性品質解析方法,藉由自動分析各式網路設備之效能,來有效定位服務障礙點。3. The present invention can effectively locate service barriers by automatically analyzing the performance of various network devices through a collection of performance information through a dynamic quality analysis method.

上列詳細說明乃針對本發明之一可行實施例進行具體說明,惟該實施例並非用以限制本發明之專利範圍,凡未脫離本發明技藝精神所為之等效實施或變更,均應包含於本案之專利範圍中。The detailed description of the present invention is intended to be illustrative of a preferred embodiment of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

綜上所述,本案不僅於技術思想上確屬創新,並具備習用之傳統方法所不及之上述多項功效,已充分符合新穎性及進步性之法定發明專利要件,爰依法提出申請,懇請貴局核准本件發明專利申請案,以勵發明,至感德便。To sum up, this case is not only innovative in terms of technical thinking, but also has many of the above-mentioned functions that are not in the traditional methods of the past. It has fully complied with the statutory invention patent requirements of novelty and progressiveness, and applied for it according to law. Approved this invention patent application, in order to invent invention, to the sense of virtue.

102...異質性網路組構與拓樸資訊模102. . . Heterogeneous network fabric and topology information model

104...多媒體視訊服務組構資訊模組104. . . Multimedia Video Service Organization Information Module

106...服務障礙推論規則知識庫106. . . Service barrier inference rule knowledge base

108...整合網路資源效能異常預警收108. . . Integrated network resource performance abnormality warning

110...前攝式服務品質與障礙問題剖110. . . Proactive service quality and obstacles

112...多媒體視訊解碼器效能資訊監112. . . Multimedia Video Decoder Performance Information Monitor

114...異質性網路效能資訊監控裝置114. . . Heterogeneous network performance information monitoring device

116...視訊頭端效能資訊監控裝置116. . . Video head end performance information monitoring device

118...網路監測動態調變模組118. . . Network monitoring dynamic modulation module

200...智慧型作業分配器架構圖200. . . Smart job distributor architecture diagram

202...智慧型作業分配調節器202. . . Smart job distribution adjuster

204...作業排程器204. . . Job scheduler

206...品質資料收集模組206. . . Quality data collection module

210...智慧型作業分配調節器示意圖210. . . Smart job assignment adjuster

302...判斷多媒體訊號解碼器品質是302. . . Judging the quality of the multimedia signal decoder is

304...判斷接取端設備相關多媒體訊號解碼器品質是否異常304. . . Determine whether the quality of the multimedia signal decoder associated with the receiving device is abnormal.

306...判斷骨幹設備相關多媒體訊號解碼器品質是否異常306. . . Determine whether the quality of the multimedia signal decoder associated with the backbone device is abnormal.

308...判斷頭端設備相關多媒體訊號解碼器品質是否異常308. . . Determine whether the quality of the multimedia signal decoder associated with the head end device is abnormal.

310...判斷相同節目源相關多媒體訊號解碼器品質是否異常310. . . Determine whether the quality of the multimedia signal decoder associated with the same program source is abnormal

312...單一多媒體訊號解碼器品質不312. . . Single multimedia signal decoder quality is not

314...接取設備服務異常314. . . Pickup device service exception

316...骨幹設備服務異常316. . . Abnormal backbone equipment service

318...頭端設備服務異常318. . . Headend device service exception

320...節目源品質異常320. . . The source quality of the program is abnormal.

400...網路監測動態調變模組示意圖400. . . Network monitoring dynamic modulation module schematic

圖一為本發明之在多媒體訊號轉換解碼器之動態品質解析系統的方塊圖;1 is a block diagram of a dynamic quality analysis system of a multimedia signal conversion decoder according to the present invention;

圖二為本發明之效能資訊監控裝置及智慧型作業分配之流程圖;2 is a flow chart of the performance information monitoring device and the intelligent job distribution of the present invention;

圖三為智慧型作業分配調節器之功能示意圖;Figure 3 is a functional diagram of a smart job assignment adjuster;

圖四為本發明之一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法之流程示意圖;以及4 is a schematic flow chart of a dynamic quality analysis method for transmitting a multimedia signal in a heterogeneous high-speed network according to the present invention;

圖五為網路監測動態調變模組之監測示意圖。Figure 5 is a schematic diagram of monitoring of the network monitoring dynamic modulation module.

102...異質性網路組構與拓樸資訊模102. . . Heterogeneous network fabric and topology information model

104...多媒體視訊服務組構資訊模組104. . . Multimedia Video Service Organization Information Module

106...服務障礙推論規則知識庫106. . . Service barrier inference rule knowledge base

108...整合網路資源效能異常預警收108. . . Integrated network resource performance abnormality warning

110...前攝式服務品質與障礙問題剖110. . . Proactive service quality and obstacles

112...多媒體視訊解碼器效能資訊監112. . . Multimedia Video Decoder Performance Information Monitor

114...異質性網路效能資訊監控裝置114. . . Heterogeneous network performance information monitoring device

116...視訊頭端效能資訊監控裝置116. . . Video head end performance information monitoring device

118...網路監測動態調變模組118. . . Network monitoring dynamic modulation module

Claims (8)

一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法,該方法包含:(a) 定期監測多媒體訊號解碼器的品質資訊,並分析多媒體訊號解碼器是否品質不良;(b) 當多媒體訊號解碼器之品質持續不良,取得多媒體訊號解碼器對應之接取端設備,並分析多媒體訊號解碼器的品質不良是否導因於接取端設備服務異常;(c) 當多媒體訊號解碼器之品質持續不良,且與接取設備無關,取得多媒體訊號解碼器對應之骨幹設備,並分析多媒體訊號解碼器的品質不良是否導因於骨幹設備服務異常;(d) 當多媒體訊號解碼器之品質持續不良,且骨幹設備無關,取得多媒體訊號解碼器對應之頭端伺服器,再判斷多媒體訊號解碼器的品質不良是否導因於頭端設備服務異常,否則為單一多媒體訊號解碼器障礙;以及(e) 當多媒體訊號解碼器之品質持續不良,取得對應多媒體訊號解碼器相關的節目源,判斷多媒體訊號解碼器的品質障礙是否導因於節目源品質異常。A dynamic quality analysis method for transmitting a multimedia signal to a heterogeneous high-speed network, the method comprising: (a) periodically monitoring quality information of the multimedia signal decoder, and analyzing whether the multimedia signal decoder is of poor quality; (b) decoding the multimedia signal The quality of the device continues to be poor, and the access device corresponding to the multimedia signal decoder is obtained, and whether the poor quality of the multimedia signal decoder is caused by the abnormality of the service of the receiving device; (c) when the quality of the multimedia signal decoder continues to be poor Regardless of the access device, the backbone device corresponding to the multimedia signal decoder is obtained, and whether the poor quality of the multimedia signal decoder is caused by the abnormal service of the backbone device; (d) when the quality of the multimedia signal decoder continues to be poor, and The backbone device is irrelevant, and the head end server corresponding to the multimedia signal decoder is obtained, and then it is judged whether the quality of the multimedia signal decoder is poor due to abnormality of the head end device service, otherwise it is a single multimedia signal decoder obstacle; and (e) when multimedia The quality of the signal decoder continues to be poor, and the corresponding Program source associated media signal decoder, the signal quality of the decoder obstacle is determined whether the multimedia guide due to abnormal program source quality. 如申請專利範圍第1項所述之一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法,其中,步驟(a)係使用該多媒體訊號解碼器的封包漏失率是否大於解碼器訊號品質不良判定臨界值,以判斷該多媒體解碼器的品質,當多媒體訊號解碼器的品質資訊大於解碼器訊號品質不良判定臨界值,則判定該多媒體解碼器之訊號品質不良。The method for analyzing a dynamic quality of a multimedia signal transmitted by a heterogeneous high-speed network according to the first aspect of the patent application, wherein the step (a) is whether the packet leakage rate of the multimedia signal decoder is greater than the decoder signal quality. The threshold value is determined to determine the quality of the multimedia decoder. When the quality information of the multimedia signal decoder is greater than the decoder signal quality defect determination threshold, the signal quality of the multimedia decoder is determined to be poor. 如申請專利範圍第1項所述之一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法,其中,步驟(b)係再找出該接取端設備對應的所有多媒體訊號解碼器群組,當此群組之多媒體訊號解碼器持續不良數目之比率超過接取端設備服務異常判定臨界值,則判斷接取端設備服務異常。A dynamic quality analysis method for transmitting a multimedia signal according to claim 1 in a heterogeneous high-speed network, wherein the step (b) is to find all the multimedia signal decoder groups corresponding to the access device. If the ratio of the number of persistent bad signals of the multimedia signal decoder of the group exceeds the threshold value of the service abnormality determination of the access device, it is determined that the service of the access device is abnormal. 如申請專利範圍第1項所述之一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法,其中,步驟(c)係再找出該骨幹設備對應的所有多媒體訊號解碼器群組,當此群組之多媒體訊號解碼器持續不良數目之比率超過骨幹設備服務異常判定臨界值,則判斷骨幹設備服務異常。A dynamic quality analysis method for transmitting a multimedia signal in a heterogeneous high-speed network according to claim 1, wherein the step (c) is to find all the multimedia signal decoder groups corresponding to the backbone device. If the ratio of the number of persistent bad numbers of the multimedia signal decoder of the group exceeds the threshold value of the abnormal service of the backbone device, the service of the backbone device is determined to be abnormal. 如申請專利範圍第1項所述之一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法,其中,步驟(d)係再找出頭端設備對應的所有多媒體訊號解碼器群組,當此群組之多媒體訊號解碼器持續不良數目之比率超過頭端設備服務異常判定臨界值,則判斷頭端設備服務異常,否則為單一多媒體訊號解碼器障礙。A dynamic quality analysis method for transmitting a multimedia signal in a heterogeneous high-speed network according to the first aspect of the patent application, wherein the step (d) is to find all the multimedia signal decoder groups corresponding to the head end device, when If the ratio of the number of persistent bad numbers of the multimedia signal decoder of the group exceeds the critical value of the head end device service abnormality determination, it is determined that the head end device service is abnormal, otherwise it is a single multimedia signal decoder obstacle. 如申請專利範圍第1項所述之一種多媒體訊號於異質性高速網路傳輸之動態品質解析方法,其中,步驟(e)係再找出該節目源對應的所有多媒體訊號解碼器群組,當此群組之多媒體訊號解碼器持續不良數目之比率超過節目源品質異常判定臨界值,則判斷為節目源品質異常。A dynamic quality analysis method for transmitting a multimedia signal in a heterogeneous high-speed network according to claim 1, wherein the step (e) is to find all the multimedia signal decoder groups corresponding to the program source. If the ratio of the number of persistent bad numbers of the multimedia signal decoder of the group exceeds the threshold value of the program source quality abnormality determination, it is determined that the quality of the program source is abnormal. 一種多媒體訊號於異質性高速網路傳輸之動態品質解析系統,其組成包括:一至多個多媒體視訊解碼器效能資訊監控裝置,用以取得多媒體視訊解碼器之效能資訊;一至多個異質性網路設備效能資訊監控裝置,用以搜集接取端設備及骨幹設備之效能資訊;一視訊頭端效能資訊監控裝置,用以搜集頭端伺服器設備之效能資訊;一整合網路資源效能異常預警收集器,用以接收一至多個多媒體解碼器的警示資訊,以及一至多個效能資訊監控裝置在收集過程中的警示資訊;一服務障礙推論規則知識庫,用以提供已知之服務障礙規則之推論知識;一異質性網路組構與拓樸資訊模組,用以提供既有之網路組構與拓樸資訊;一多媒體視訊服務組構資訊模組,用以提供多媒體服務所對應之網路組構與拓樸資訊;一前攝式服務品質與障礙問題剖析器,用以診斷出品質問題可能來源點;以及一網路監測動態調變模組,可針對特定障礙彈性調整設備之監測週期,以診斷出針對服務電路上的設備執行行動指令。A dynamic quality analysis system for transmitting multimedia signals over heterogeneous high-speed networks, comprising: one or more multimedia video decoder performance information monitoring devices for obtaining performance information of the multimedia video decoder; one or more heterogeneous networks Device performance information monitoring device for collecting performance information of the access device and the backbone device; a video head end performance information monitoring device for collecting performance information of the head end server device; and an integrated network resource performance abnormality alert collection And a warning information for receiving one or more multimedia decoders, and warning information of one or more performance information monitoring devices during the collecting process; a service barrier inference rule knowledge base for providing inference knowledge of known service obstacle rules A heterogeneous network fabric and topology information module for providing existing network organization and topology information; a multimedia video service fabric information module for providing a network corresponding to multimedia services Organization and topology information; a proactive service quality and obstacle problem parser to diagnose quality Problem may point source; and a dynamic modulation network monitoring module, the monitoring period can be flexibly adjusted equipment for a particular disorder, to diagnose an apparatus to perform operations for instructions on a service circuit. 如申請專利範圍第7項所述之一種多媒體訊號於異質性高速網路傳輸之動態品質解析系統,在多媒體視訊解碼器效能資訊監控裝置中,會執行作業智慧分配,其包含以下但不限於之組成模組:一智慧型作業分配調節器,用以在新增作業後決定作業排程,使得監測作業排程能平均分配在監測週期內,能以自動分散作業執行時間,有效解決系統資源負載不均衡問題;一作業排程器,安排定期監控作業之執行時間;以及一資料收集模組,負責定期收集效能品質資訊。A dynamic quality analysis system for transmitting a multimedia signal in a heterogeneous high-speed network according to claim 7 of the patent application, in the multimedia video decoder performance information monitoring device, performing work smart distribution, which includes the following but not limited to The module is a smart job distribution adjuster, which is used to determine the job schedule after the new job is added, so that the monitoring work schedule can be evenly distributed in the monitoring period, and the execution time can be automatically dispersed to effectively solve the system resource load. Unbalanced problem; a job scheduler that schedules regular monitoring of the execution time of the job; and a data collection module that collects performance quality information on a regular basis.
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