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语音识别技术在自动化包装生产线中发挥着重要作用

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  自动化包装生产线语音识别技术在自动化系统中已经应用于诸如数据记录、仓储控制、质量检测记录、物料搬运和归类系统等方面,现在正开始应用于生产过程的实时控制。
  Speech recognition technology of automatic packaging production line has been applied in automatic system, such as data recording, storage control, quality inspection record, material handling and classification system, etc., and now it is being applied to real-time control of production process.
  语音识别技术使计算机能实时地识别语音、理解语意,并能用自然语言同人对话,当然这些语言都是规范化的。
  Speech recognition technology enables computers to recognize speech and understand semantics in real time, and can communicate with people in natural languages. Of course, these languages are standardized.
  自动化包装生产线采用语音识别技术后,操作员头戴与通信板相接的送受话器,用语言与计算机或其他操作员联络。如生产过程的进料受阻,计算机就直接用语言告诉操作员:“请注VX号进料站”。操作员不必分析信息,就知道什么地方存在问题,可以直接到X号进料站处理故障。
  After the automatic packaging production line adopts speech recognition technology, the operator wears a receiver connected with the communication board, and communicates with the computer or other operators with language. If the feeding in the production process is blocked, the computer will directly tell the operator in language: "please note the VX feeding station". The operator does not have to analyze the information to know where there is a problem and can go directly to the X feed station to deal with the fault.
自动化包装
  由于人机是通过语言交互的,操作员在进料站排除故障时,可以像在控制室里一样获取包装生产线全面的信息,用语言指挥计算机执行必要的操作,并可同其他操作员联络。
  Because the human-computer interaction is through language, the operator can obtain the complete information of the packaging production line as in the control room when troubleshooting in the feeding station, command the computer to perform necessary operations with language, and contact other operators.
  因此,采用语音识别技术后,操作员不论处在什么位置,都能同样获得信息和执行操作。操作员不必守在控制室,而可以在现场巡视,及时发现和处理包装生产线问题。人机用语言交互,更加简单、明确和不易误解,实时性也更好。
  Therefore, after using speech recognition technology, no matter where the operator is, he can get the same information and perform operations. Operators do not have to stay in the control room, but can patrol the site to find and deal with problems in the packaging production line in time. Human computer interaction with language, more simple, clear and not easy to misunderstand, better real-time.
  语音识别技术在包装自动化、工程设计CAD和信息管理系统等各个方面也有广阔的应用前景。
  Speech recognition technology also has a broad application prospect in packaging automation, engineering design CAD and information management system.
  文本、图形识别技术在自动化操作环境也有重要应用。如重要的操作指令必须经过计算机对发令人的亲笔签名或印章的识别认可后才能执行。
  Text and graphic recognition technology also has important applications in automatic operation environment. For example, important operation instructions can only be executed after the personal signature or seal of the sender is recognized by the computer.
  对于重大复杂的操作,例如改变运行网络结构、重要设备的切换等,可以写成条文或画出网络切换图,由计算机的图文识别系统愉入并理解后,自动执行操作。把操作指令变成书面文件,更具“法定效力”,更不易出错,适用于一些特别重大的或用语言不易表达清楚的操作。
  For major and complex operations, such as changing the operating network structure, switching of important equipment, etc., it can be written into articles or drawn network switching diagram, which can be automatically executed after being read and understood by the computer's graphic recognition system. Turning the operation instruction into a written document has more "legal effect" and is less prone to error. It is applicable to some operations that are particularly important or difficult to express clearly in language.
  图像识别技术在自动化系统中的一个重要应用是作为智能包装生产线设备,可对重要的生产设备或危险的现场进行监视,当发现异常情况时能及时通知操作人员断像识别技术还可用于对流水线操作人员的自动跟踪,使计算机能随时知道操作人员所处的位置,及时地把有用的信息通知操作人员.利用图像识别技术监视操作员的动作,能发现自动化包装生产线操作员的操作错误,并及时加以阻止和纠正。
  An important application of image recognition technology in automation system is as intelligent packaging production line equipment, which can monitor important production equipment or dangerous scene, and timely inform operators when abnormal conditions are found. Image recognition technology can also be used to automatically track the operators in the assembly line, so that the computer can know the position of the operators at any time The operator is informed of the useful information. The operator's action can be monitored by using image recognition technology. The operator's operation error can be found and prevented and corrected in time.