Industrial streaming data encoding and decoding system and method
A technology of data encoding and decoding methods, which is applied in the field of industrial big data, can solve the problems that there are not many methods for collecting and sorting big data, and they have not been proposed, so as to achieve the effect of complete and correct data, easy to organize, and a large amount of data
Active Publication Date: 2018-09-18
XIJING UNIV
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[0004] At present, there are not many methods for collecting and organizing the underlying industrial big data in the world, and most of these methods are aimed at a specific device, and a method with certain universality has not been proposed yet.
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[0056] The technical solutions of the present invention will be further described below in conjunction with the drawings and embodiments.
[0057] An industrial big data acquisition coding system, such as figure 1 As shown, it is a structural schematic diagram of the industrial big data acquisition and encoding system of the present invention, the system includes: the ath bottom layer data module, a is a positive integer, a≥1, which is used to collect the bottom layer data of the equipment, and send the bottom layer data For the b-level cache module; b-level cache module, b=1...L, L≥2, wherein, the 1-level cache module is used to receive the bottom layer data sent by the ath bottom layer data module, and the upper level cache module is used to receive the adjacent The data sent by the lower-level cache module, these data are stored in the storage space of the corresponding b-level cache module, the data received by the L-level cache module is packaged as a data packet and sent...
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The invention discloses an industrial streaming data encoding and decoding system and method. The system comprises: an ath bottom layer data module, wherein a is a positive integer, a is greater thanor equal to 1, and the ath bottom layer data module is used for collecting bottom layer data of a device and sending the bottom layer data to a b-level cache module; the b-level cache module, whereinb=1...L, L is greater than or equal to 2, the first level cache module is used for receiving the bottom layer data sent by the ath bottom layer data module, an upper level cache module is used for receiving the data sent by an adjacent lower level cache module, these data are stored in a storage space of the corresponding b-level cache module, the data received by the L-level cache module are packaged into a data packet, and the data packet is sent to a server; a data channel module used for transmitting the bottom layer data to the b-level cache module; and the server used for receiving the data packet sent by the b-level cache module and decoding the data packet. By adoption of the system and method disclosed by the invention, a large amount of data can be collected in a limited cache space, and the integrity and the correctness of the collected or transmitted data are also ensured.
Description
technical field [0001] The invention belongs to the technical field of industrial big data, and in particular relates to an industrial stream data encoding and decoding system and method. Background technique [0002] Intelligent manufacturing based on cloud computing, big data, artificial intelligence and other technologies has become an important direction for the development of the industry at present and in the future. In intelligent manufacturing, industrial big data technology is the key technology. Efficiently collecting massive underlying data, constructing industrial data models, and then assisting enterprises in decision-making based on the models are the basic ideas for the development of industrial big data technology. [0003] In the implementation process of industrial big data technology, the most critical thing is to collect and organize the underlying industrial data with the characteristics of high frequency, small amount of single data, strict timing, and...
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Login to View More IPC IPC(8): H04L29/08H04L12/26
CPCH04L43/16H04L67/565H04L67/5682H04L67/568
Inventor张宁黄璜刘润虎
OwnerXIJING UNIV