In this issue, the all-media faction will share with you a brief history of the development of robotics in the context of press and publication, and experience the revolution brought about by the robot program.
The originator of the news robots: Twitter Bot
First of all, what is a robot program? Compared to robots, "robots" is an online concept without physical entities. It is actually a kind of computer script.
Twitter Bot is one of the earliest applications of robot programs in the news industry. With the advent of the Twitter Bot, the three special functions of the news industry—reminding, aggregating and supervising have been automated. The reporting level has also been greatly improved over the era of purely manual editing and editing.
Relatively speaking, the principle of the reminder function is relatively simple. In fact, the information on the Twitter and Facebook homepages of many media organizations is updated by the robot program: whenever new news reports appear on the RSS feeds, the robot program will be automatically updated on the social media account.
Twitter Bot's news aggregating approach is diverse. First, it can aggregate news RSS feeds. For example, the @North_GA news machine program can aggregate multiple news RSS feeds from northern Georgia. Second, the syndication function also includes automatically forwarding information on Twitter that matches a particular search, such as updates to specific tags, keywords, or news that matches specific search terms on Google News.
The oversight function usually involves keeping track of what the public figures or organizations say. For example, @stopandfrisk on Twitter can obtain real-time data on the police's inventory and send tweets from the New York Civil Liberties Union. Facebook's Keir Starmer in Parliament page specifically tracks the new moves of the politician in the parliament.
Surveillance also sometimes includes a critical value feature. For example, when a page of Wikipedia and Twitter shows an abnormal editing frequency (which may mean there is a major news event), @wikilivemon will monitor the editing behavior that occurred. There are also Twitter Bots who will be prompted to update the IP address associated with the government's public agency.
When politicians mention guns or related words, @yourrepsonguns will forward their tweets.
Type of failure
1. ONU with time slot drift
This kind of failure is usually caused by the aging of the laser and the drift of the time slot for the upstream data transmission of the ONU. It is also possible that an error occurs in the data of the bandwidth map sent by the downstream OLT, which causes an error in the transmission time slot of the ONU. This kind of faulty ONU is difficult to detect. Generally, the OLT needs to monitor the upstream data of the ONU in real time. Determine whether it sends data in the time slot allocated by the OLT. For this type of abnormally luminous ONU, because it mainly affects two adjacent ONUs, in addition to isolation, the protection bandwidth between time slots can also be increased to alleviate its impact on other ONUs.
2. Long light ONU
This failure is caused by the ONU's laser for a long time. As a result, the ONUs under the entire PON port cannot communicate normally. If the ONU emits strong light, the abnormal light emission of the ONU can be determined by testing the optical power at the optical splitter during troubleshooting. However, if it is a weakly emitting ONU, the judgment will be more difficult, and the abnormal light emission of the ONU cannot be measured at the optical splitter. Only through the intervention of the OLT and the use of specific detection algorithms can the abnormal ONU be judged. Usually, the business under the entire PON port will be affected, but because of its failure phenomenon has always existed, it has brought convenience to the troubleshooting to a certain extent.
3. Intermittent glow
The judgment of this kind of failure is the most difficult and irregular. It is also the biggest fault in the current network that accounts for the abnormally luminous 0NU. It is not only impossible to measure the abnormal light emission of the ONU at the beam splitter. In addition, it is necessary to observe and monitor faulty PON ports for a long time, which brings great challenges to network maintenance.
There are many fault phenomena in the network of abnormally luminous ONUs. There is no complete mechanism and process in the industry to solve this fault. Other operators have no controllable experience. In the operation of the actual network. The author summarized a set of procedures and experience for troubleshooting abnormal light-emitting ONUs. Can effectively solve most of the existing network failures.
cause of issue
1. Long light-emitting problem: The photoelectric converter is connected to the branch fiber by mistake, and the photoelectric converter emits light for a long time; the ONU optical module has an abnormal shutdown signal. Cause the ONU to emit light for a long time.
2. Coverage interference problem: For some reasons (such as insufficient extinction ratio), individual ONUs emit light in unlicensed time slots, which affects the normal services of other ONUs.
3. Overlapping interference problem: The inconsistency of the parameters of different ONU optical modules causes partial overlap of the upstream optical signals, which affects each other's services.
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