Archives big data is the amount of data involved in archives that is so large that it cannot be captured, managed, processed, and organized in a reasonable time through the current mainstream software tools to become a more positive purpose for helping business decisions.
We usually understand a large amount of unstructured data (including all forms of office documents, text, pictures, images and audio/video information, etc.) and semi-structured data (data lacking uniformity in structure), which is used together. It takes too much time and money to analyze.
The strategic significance of archival big data technology is not to master huge data information, but to specialize in these historical data with high value. If big data is likened to an industry, then the key to realizing profitability in this industry is to increase the “processing power†of the data and “add value†of the data through “processingâ€. That is to say, we must not only own a mine, but also discover, mine and refine high-value products through various means. The methods and means are different, and the value of the output is different.
The characteristics of archive big data: huge amount of data, a variety of data types, low value density, and fast processing speed.
The amount of data is huge: at the end of the "Eleventh Five-Year Plan", the archives of China's collections have reached nearly 400 million volumes, with a thickness of 3 cm per roll. China's collection archives can mark the Yangtze River from the source to the estuary. According to estimates, our archives are increasing at a rate of 40% every five years.
There are many types of data: archives involve government agencies, group companies, finance, communications, construction, real estate, education, military, and courts. These industries run different businesses, and the generation of archival data is different. Such as documents, design drawings, photos, recording materials, video, GIS information, hydrometeorological information. These different documents have some relevance. For example, the plan and design drawings of urban construction can be related to GIS data information, and at the same time, government construction planning documents, approvals and construction documents should be associated. These different types of data put forward higher requirements on the processing power of data to varying degrees.
Low value density: The value density is inversely proportional to the total amount of data. For insurance files, we will file the insurance policies one by one, but the probability of claim settlement is extremely low. How to “purify†the value of data more quickly through powerful machine algorithms has become an urgent problem in the context of big data.
Fast processing: This is the most distinguishing feature of big data distinguishing it from traditional data mining. In the face of massive data, the efficiency of processing data is the life of the enterprise. The same is true for archive big data.
Archives big data has the same characteristics as Internet big data. The characteristics of the archives themselves are also reflected in the fact that they can provide the basis for the operation of government enterprises, support core productivity and application, and on the other hand, archives still have compliance, electronic forensics, Security, diagnostics, and other supporting applications are of considerable value.
Main features of fully automatic scanning robot
Fully automatic scanning speed of 3,300 pages per hour;
Capture image resolution is 325dpi--600dpi, 24-bit color.
Patented SmarCradle "Laser Eye" dynamic processing program with automatic measurement function.
The V100 degree book support angle supports rare and fragile ancient books and files.
Simulated human arm vacuum adsorption page turning technology, a gentler robot than a human hand.
The surturn robot arm vacuum adsorption page turning technology is a gentler robot than the human hand.
Metadata retrieval and creation of MARC records, DublinCore files, and MODS files.
METS/AL TO compatible output.
Output TIFF, JPG2000, JPG, PDF/A and more format files.
High quality results are the primary goal of any digital project. High quality includes superior imagery, high-accuracy OCR recognition, comprehensive metadata, and complete data integrity to achieve these digital goals so you can take advantage of digital results and meet more uncertain needs in the future. Keep your precious originals permanently stored with an efficient and perfect scanning device.
The Kabis fully automatic scanning robot system continues the tradition of Kirtas robots, providing an automatic positioning system for the “laser eye†automatic book data center, accurately positioning the files of different specifications, the center of the book, automatically measuring their specifications, and fully improving the automatic control. Digital production efficiency. The book height of V110 is the best mechanical opening angle, which ensures the precious materials are not damaged during the digitization process. The global patented airflow and ultrasonic pagination technology perfectly strips pages that are difficult to open, and the simulated human arm vacuum-adsorbs flip-top tentacles will gently pick up and flip a new page.
In the simulation of the human arm vacuum adsorption page turning technology, we applied the book edge sensor technology, with the "laser eye" to detect the situation of the robot arm picking up multiple pages or no pages, and automatically take the robot self-learning mode to start correction. The result is the integrity and quality of all book volumes.
The latest Kabis Manager Plus software provides a simple user interface that allows you to quickly start digitizing your operations. The new interface provides more convenient page capture monitoring and management accuracy. It really allows you to do a lot of work in the process of talking and laughing.
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