What Is an Automated Storage and Retrieval System?

Document microfilm storage and retrieval system refers to the use of appropriate software and hardware technologies and equipment in the archive, search, and restore of document microfilms. A microfilm search involves finding the required microfilm and reducing it to a form suitable for reading.

Document microfilm storage retrieval system

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Document microfilm storage and retrieval system refers to the use of appropriate software and hardware technologies and equipment in the archive, search, and restore of document microfilms. A microfilm search involves finding the required microfilm and reducing it to a form suitable for reading.

In the manual system, first the classification number, subject word,

The semi-automatic system usually refers to the use of some machines,

There are two types of photoelectric type and computer-assisted type: photoelectric type automatic storage and retrieval system of microfilm. The index data of the document is attached to the microform of the document, and the full-text microform of the document is obtained at the same time when the index data of the document that meets the requirements is found. For example, a black-and-white-coded micro-spot automatic retrieval device is provided with an index area for recording the characteristics of the content of the document near the microfilm area of the microfilm. The index data is represented by a combination of transparent and opaque rectangular light spots. These light spots are projected on the corresponding photovoltaic cells during retrieval, producing many electrical signals. When these electrical signals completely match the electrical signals set in advance by the user, the microfilm is selected and taken out. A typical early device was a fast film sorter developed by Bush and others in MIT in 1938. It has 120,000 records stored on 1,000-foot microfilms, which can be retrieved within 2 minutes. In the 1940s and 1960s, many units in Europe and the United States were engaged in the development of this kind of system called "Automated Document Storage and Retrieval System" (ADSTAR). However, most of them have not been promoted due to the high cost. Another example is the window card storage and retrieval system. The window region is attached with micro-documents, and the paper card region records the index data of this document with perforations. When searching, the punch card selection machine is used to automatically select the window card that matches the index data. Such systems are mostly used for the management of engineering drawings. Computer-assisted document retrieval system. An image data automatic management system with the advantages of computers, microforms, and paper in one, referred to as CAR. The computer has high-speed logic operation capability, and the literature retrieval system composed of it can quickly provide the index information of the literature. Microforms have the ability to economically store large amounts of image data. Paper is the information medium that people are most willing to use. Taking a CAR system using a 16 mm cassette microfilm as an example, the original document is microfilmed and made into a cassette film. They are sorted in a microfed repository by box number. At the same time, the index data of the document, including the address (box number and size) of the document in the microform storage, are input into the computer to establish a document database. Steps during use: The user finds the address of the required microfilm through the computer terminal; Manually removes the cassette roll and inserts the microfilm terminal; The computer sends a command to the image terminal to find the destination frame. Find the frame within 7 seconds and display the restored document image on the screen; A paper copy can be provided on the spot as needed. Generally, a box of 16 mm reels can store 3,000 pages of A4 image data, and a storage bank contains 360 boxes of reels, which holds a total of 1 million pages of data. This CAR system can retrieve any page from 1 million pages of information in 1 minute.